Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
William Nylander | LW/RW | 100.00 | 69 | 40 | 85 | 86 | 81 | 83 | 93 | 83 | 68 | 79 | 84 | 65 | 60 | 72 | 59 | 0 | 82 | 28 | 6,962,366$/9yrs | |||||
Valeri Nichushkin | LW/RW | 100.00 | 77 | 40 | 85 | 80 | 79 | 87 | 79 | 78 | 53 | 74 | 80 | 71 | 93 | 70 | 59 | 0 | 80 | 29 | 6,125,000$/7yrs | |||||
Vincent Trocheck (A) | C/RW | 100.00 | 79 | 65 | 74 | 83 | 73 | 86 | 95 | 77 | 90 | 79 | 73 | 70 | 67 | 76 | 67 | 0 | 80 | 31 | 5,625,000$/6yrs | |||||
Timo Meier | LW/RW | 100.00 | 76 | 64 | 79 | 84 | 89 | 79 | 90 | 73 | 68 | 70 | 80 | 68 | 59 | 71 | 59 | 0 | 79 | 28 | 8,800,000$/8yrs | |||||
Elias Lindholm (A) | C/RW | 100.00 | 72 | 57 | 86 | 79 | 79 | 82 | 91 | 70 | 88 | 73 | 69 | 73 | 56 | 79 | 66 | 0 | 77 | 30 | 4,850,000$/9yrs | |||||
Conor Garland | LW/RW | 100.00 | 74 | 64 | 87 | 76 | 63 | 70 | 92 | 69 | 52 | 70 | 71 | 74 | 60 | 66 | 59 | 0 | 74 | 28 | 4,950,000$/3yrs | |||||
Jj Peterka | RW | 100.00 | 70 | 40 | 87 | 75 | 74 | 73 | 84 | 68 | 54 | 67 | 74 | 68 | 54 | 58 | 58 | 0 | 73 | 23 | 855,833$/2yrs | |||||
Ilya Mikheyev | LW/RW | 100.00 | 68 | 40 | 96 | 73 | 72 | 72 | 81 | 65 | 53 | 68 | 68 | 73 | 54 | 61 | 58 | 0 | 72 | 30 | 4,750,000$/3yrs | |||||
Jesper Fast | RW | 100.00 | 79 | 40 | 87 | 66 | 73 | 67 | 91 | 62 | 55 | 65 | 63 | 75 | 54 | 76 | 67 | 0 | 71 | 33 | 2,400,000$/2yrs | |||||
Barclay Goodrow | C/LW/RW | 100.00 | 77 | 70 | 80 | 65 | 81 | 66 | 93 | 59 | 78 | 64 | 62 | 73 | 54 | 71 | 67 | 0 | 70 | 31 | 3,641,667$/4yrs | |||||
Tyler Motte | C/LW/RW | 100.00 | 78 | 40 | 87 | 70 | 79 | 65 | 84 | 58 | 70 | 62 | 64 | 77 | 54 | 66 | 59 | 0 | 70 | 29 | 800,000$/2yrs | |||||
Patrick Brown | C/RW | 100.00 | 64 | 59 | 77 | 61 | 78 | 64 | 68 | 60 | 72 | 64 | 59 | 71 | 55 | 67 | 61 | 0 | 67 | 32 | 800,000$/2yrs | |||||
Josh Morrissey (C) | D | 100.00 | 69 | 47 | 77 | 82 | 74 | 95 | 92 | 75 | 40 | 81 | 65 | 77 | 54 | 71 | 68 | 0 | 79 | 29 | 6,250,000$/5yrs | |||||
Seth Jones | D | 100.00 | 68 | 40 | 78 | 80 | 81 | 97 | 88 | 65 | 40 | 69 | 63 | 83 | 54 | 79 | 68 | 0 | 77 | 30 | 9,500,000$/7yrs | |||||
Kaiden Guhle | D | 100.00 | 69 | 66 | 73 | 80 | 76 | 86 | 77 | 61 | 40 | 68 | 61 | 89 | 54 | 57 | 58 | 0 | 75 | 23 | 1,283,333$/8yrs | |||||
Erik Gudbranson | D | 100.00 | 68 | 69 | 78 | 66 | 84 | 84 | 90 | 59 | 40 | 67 | 60 | 87 | 54 | 78 | 66 | 0 | 74 | 33 | 4,000,000$/3yrs | |||||
Timothy Liljegren | D | 100.00 | 71 | 40 | 83 | 82 | 72 | 82 | 83 | 62 | 40 | 69 | 60 | 83 | 54 | 60 | 58 | 0 | 74 | 25 | 1,400,000$/3yrs | |||||
Jaycob Megna | D | 100.00 | 68 | 48 | 79 | 68 | 81 | 79 | 75 | 55 | 41 | 63 | 57 | 84 | 55 | 60 | 59 | 0 | 70 | 32 | 762,500$/1yrs | |||||
Scratches | ||||||||||||||||||||||||||
Patrik Nemeth | D | 100.00 | 65 | 38 | 78 | 60 | 86 | 74 | 85 | 53 | 38 | 66 | 54 | 86 | 51 | 67 | 56 | 0 | 69 | 32 | 2,500,000$/1yrs | |||||
TEAM AVERAGE | 100.00 | 72 | 51 | 82 | 75 | 78 | 78 | 86 | 66 | 57 | 69 | 67 | 76 | 58 | 69 | 62 | 0 | 74 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Darcy Kuemper | 0 | 100.00 | 75 | 81 | 82 | 91 | 83 | 73 | 81 | 64 | 89 | 77 | 92 | 74 | 64 | 0 | 80 | 34 | 5,250,000$/4yrs | |
Akira Schmid | 46 | 100.00 | 73 | 64 | 64 | 82 | 72 | 67 | 77 | 68 | 75 | 78 | 71 | 57 | 55 | 0 | 72 | 24 | 925,000$/1yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 74 | 73 | 73 | 87 | 78 | 70 | 79 | 66 | 82 | 78 | 82 | 66 | 60 | 0 | 76 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Larry Robinson | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 69 | 4 | 0$ |
General Manager | Steve Rioux |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | William Nylander | Sharks | 96 | LW/RW | 47 | 20 | 27 | 47 | -3 | 20 | 0 | 33 | 188 | 55 | 134 | 10.64% | 8 | 18.03 | 7 | 13 | 20 | 0 | 0 | 0 | 0 | 1 | 2 | 44.93% | 0 | 0 | 1.00 | 0 | 0 | 0.98 | ||
2 | Josh Morrissey | Sharks | 80 | D | 47 | 13 | 29 | 42 | -8 | 48 | 0 | 109 | 117 | 32 | 81 | 11.11% | 69 | 25.64 | 10 | 8 | 18 | 0 | 0 | 0 | 147 | 3 | 1 | 0.00% | 0 | 0 | 0.89 | 0 | 0 | 0.70 | ||
3 | Valeri Nichushkin | Sharks | 37 | LW/RW | 47 | 17 | 25 | 42 | 1 | 12 | 0 | 66 | 142 | 38 | 114 | 11.97% | 4 | 17.48 | 6 | 10 | 16 | 0 | 0 | 0 | 0 | 1 | 1 | 50.00% | 0 | 0 | 0.89 | 0 | 1 | 0.89 | ||
4 | Seth Jones | Sharks | 4 | D | 47 | 15 | 25 | 40 | -2 | 60 | 0 | 96 | 109 | 27 | 62 | 13.76% | 80 | 23.58 | 6 | 8 | 14 | 0 | 0 | 0 | 58 | 2 | 1 | 0.00% | 0 | 0 | 0.85 | 0 | 0 | 0.66 | ||
5 | Vincent Trocheck | Sharks | 21 | C/RW | 47 | 10 | 30 | 40 | -3 | 42 | 0 | 101 | 131 | 49 | 85 | 7.63% | 8 | 18.08 | 1 | 14 | 15 | 0 | 0 | 0 | 5 | 0 | 1 | 57.42% | 0 | 1 | 0.85 | 0 | 1 | 0.71 | ||
6 | Kaiden Guhle | Sharks | 55 | D | 47 | 9 | 24 | 33 | 2 | 54 | 0 | 110 | 88 | 37 | 57 | 10.23% | 68 | 21.75 | 6 | 5 | 11 | 0 | 1 | 1 | 158 | 2 | 0 | 0.00% | 0 | 0 | 0.70 | 0 | 0 | 0.58 | ||
7 | Timo Meier | Sharks | 28 | LW/RW | 47 | 13 | 20 | 33 | -6 | 23 | 5 | 91 | 126 | 40 | 90 | 10.32% | 6 | 17.44 | 3 | 8 | 11 | 0 | 0 | 0 | 0 | 4 | 1 | 60.27% | 0 | 0 | 0.70 | 0 | 1 | 0.64 | ||
8 | Elias Lindholm | Sharks | 16 | C/RW | 47 | 14 | 17 | 31 | -6 | 20 | 0 | 52 | 115 | 44 | 99 | 12.17% | 9 | 17.60 | 2 | 8 | 10 | 0 | 0 | 0 | 3 | 6 | 0 | 54.51% | 0 | 0 | 0.66 | 0 | 0 | 0.61 | ||
9 | Timothy Liljegren | Sharks | 51 | D | 47 | 5 | 22 | 27 | -8 | 32 | 0 | 75 | 82 | 17 | 50 | 6.10% | 56 | 19.05 | 5 | 9 | 14 | 0 | 0 | 0 | 154 | 0 | 1 | 0.00% | 0 | 0 | 0.57 | 0 | 0 | 0.44 | ||
10 | Jj Peterka | Sharks | 0 | RW | 47 | 8 | 10 | 18 | -1 | 10 | 0 | 35 | 85 | 25 | 77 | 9.41% | 3 | 15.71 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 1 | 0 | 44.62% | 0 | 0 | 0.38 | 0 | 0 | 0.41 | ||
11 | Conor Garland | Sharks | 54 | LW/RW | 47 | 5 | 12 | 17 | -9 | 19 | 5 | 30 | 92 | 17 | 62 | 5.43% | 10 | 15.23 | 0 | 0 | 0 | 0 | 0 | 0 | 159 | 0 | 0 | 30.00% | 0 | 0 | 0.36 | 0 | 0 | 0.29 | ||
12 | Ilya Mikheyev | Sharks | 23 | LW/RW | 47 | 5 | 7 | 12 | -2 | 10 | 0 | 16 | 61 | 23 | 30 | 8.20% | 3 | 10.42 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 47.06% | 0 | 0 | 0.26 | 0 | 0 | 0.24 | ||
13 | Erik Gudbranson | Sharks | 6 | D | 47 | 4 | 7 | 11 | 2 | 51 | 5 | 75 | 33 | 15 | 14 | 12.12% | 70 | 17.89 | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 1 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.15 | ||
14 | Barclay Goodrow | Sharks | 12 | C/LW/RW | 47 | 4 | 6 | 10 | -3 | 32 | 10 | 80 | 53 | 14 | 20 | 7.55% | 4 | 13.92 | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 0 | 0 | 51.62% | 0 | 0 | 0.21 | 0 | 0 | 0.11 | ||
15 | Jaycob Megna | Sharks | 8 | D | 42 | 1 | 7 | 8 | -10 | 42 | 0 | 52 | 19 | 5 | 13 | 5.26% | 29 | 12.20 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.19 | 0 | 0 | -0.04 | ||
16 | Tyler Motte | Sharks | 0 | C/LW/RW | 47 | 3 | 5 | 8 | -2 | 10 | 0 | 44 | 32 | 10 | 27 | 9.38% | 8 | 10.36 | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 0 | 0 | 45.45% | 0 | 0 | 0.17 | 0 | 0 | 0.16 | ||
17 | Jesper Fast | Sharks | 22 | RW | 47 | 3 | 5 | 8 | -1 | 2 | 0 | 31 | 43 | 22 | 21 | 6.98% | 4 | 7.27 | 0 | 0 | 0 | 0 | 1 | 1 | 25 | 1 | 0 | 34.78% | 0 | 0 | 0.17 | 0 | 0 | 0.20 | ||
18 | Patrick Brown | Sharks | 17 | C/RW | 47 | 3 | 3 | 6 | -2 | 7 | 5 | 12 | 36 | 10 | 15 | 8.33% | 7 | 10.49 | 0 | 0 | 0 | 1 | 0 | 1 | 172 | 0 | 0 | 48.19% | 0 | 0 | 0.13 | 0 | 0 | 0.09 | ||
19 | Patrik Nemeth | Sharks | 18 | D | 5 | 0 | 0 | 0 | 2 | 4 | 0 | 6 | 1 | 0 | 1 | 0.00% | 4 | 15.06 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.08 | ||
Team Total or Average | 846 | 152 | 281 | 433 | -59 | 498 | 30 | 1114 | 1553 | 480 | 1052 | 9.79% | 450 | 16.25 | 49 | 86 | 135 | 1787 | 1 | 2 | 3 | 1417 | 22 | 8 | 52.75% | 4260 | 0 | 0 | 0 | 1 | 0.63 | 0 | 3 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Akira Schmid | Sharks | 31 | 13 | 10 | 4 | 0.898 | 3.27 | 1690 | 0 | 0 | 92 | 900 | 0 | 0 | 2 | 0.500 | 2 | 27 | 20 | 1 | 1 | 0 |
2 | Darcy Kuemper | Sharks | 22 | 9 | 9 | 2 | 0.894 | 3.36 | 1143 | 2 | 0 | 64 | 604 | 0 | 1 | 0 | 0.000 | 0 | 20 | 27 | 1 | 0 | 3 |
Team Total or Average | 53 | 22 | 19 | 6 | 0.896 | 3.30 | 2833 | 2 | 0 | 156 | 1504 | 0 | 1 | 2 | 0.500 | 2 | 47 | 47 | 2 | 1 | 3 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Senators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 33 | 18 | 4 | 11 | 0 | 34 | 20 | 10 | 22 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 1 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 21 | 13 | 25 | 7 | 13 | 6 | 33.3% | 6.1% | 91.2% | 97.2 | DULL |
2 | Hurricanes | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 5 | 1 | 0 | 28 | 10 | 10 | 8 | 0 | 42 | 15 | 8 | 24 | 6 | 4 | 66.67% | 3 | 0 | 100.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 20 | 14 | 25 | 7 | 13 | 6 | 33.3% | 21.4% | 90.5% | 111.9 | FUN |
3 | Flyers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 20 | 6 | 2 | 12 | 0 | 28 | 12 | 6 | 24 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 20 | 12 | 26 | 7 | 13 | 6 | 66.7% | 20.0% | 96.4% | 116.4 | LUCKY |
4 | Rangers | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 1 | 1 | 38 | 10 | 14 | 13 | 1 | 32 | 10 | 12 | 16 | 5 | 2 | 40.00% | 5 | 2 | 60.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 24 | 16 | 23 | 8 | 11 | 6 | 60.0% | 13.2% | 87.5% | 100.7 | FUN |
5 | Islanders | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 22 | 8 | 6 | 8 | 0 | 53 | 19 | 20 | 16 | 3 | 3 | 100.00% | 9 | 2 | 77.78% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 19 | 12 | 28 | 8 | 12 | 5 | 33.3% | 22.7% | 88.7% | 111.4 | FUN |
6 | Blackhawks | 3 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 11 | 11 | 0 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 4 | 3 | 2 | 2 | 102 | 36 | 40 | 21 | 5 | 95 | 16 | 28 | 49 | 17 | 3 | 17.65% | 14 | 3 | 78.57% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 79 | 57 | 67 | 23 | 37 | 18 | 50.0% | 10.8% | 88.4% | 99.2 | FUN |
7 | Red Wings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 8 | 2 | 1.000 | 9 | 18 | 27 | 0 | 0 | 3 | 2 | 4 | 0 | 43 | 13 | 19 | 11 | 0 | 26 | 5 | 2 | 28 | 5 | 3 | 60.00% | 1 | 0 | 100.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 25 | 18 | 22 | 6 | 12 | 6 | 85.7% | 20.9% | 96.2% | 117.1 | LUCKY |
8 | Blue Jackets | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 32 | 11 | 10 | 9 | 2 | 50 | 14 | 17 | 29 | 0 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 19 | 11 | 29 | 7 | 12 | 6 | 60.0% | 9.4% | 92.0% | 101.4 | LUCKY |
9 | Oilers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 39 | 14 | 12 | 13 | 0 | 27 | 8 | 12 | 21 | 7 | 3 | 42.86% | 6 | 0 | 100.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 25 | 17 | 22 | 8 | 12 | 5 | 66.7% | 12.8% | 96.3% | 109.1 | LUCKY |
10 | Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 1 | 1 | 0 | 0 | 32 | 14 | 11 | 7 | 0 | 22 | 7 | 12 | 36 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 22 | 14 | 24 | 8 | 12 | 6 | 33.3% | 6.3% | 81.8% | 88.1 | Unlucky |
11 | Kings | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 14 | 22 | 1 | 0 | 3 | 2 | 3 | 0 | 103 | 34 | 40 | 29 | 0 | 91 | 26 | 34 | 62 | 14 | 3 | 21.43% | 9 | 2 | 77.78% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 78 | 55 | 61 | 22 | 39 | 19 | 45.5% | 7.8% | 91.2% | 99.0 | DULL |
12 | Blues | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 47 | 15 | 19 | 13 | 0 | 29 | 7 | 12 | 25 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 25 | 17 | 21 | 7 | 12 | 6 | 66.7% | 10.6% | 89.7% | 100.3 | FUN |
13 | Flames | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 12 | 15 | -3 | 4 | 0.500 | 12 | 24 | 36 | 0 | 0 | 5 | 5 | 2 | 0 | 158 | 59 | 55 | 40 | 7 | 140 | 43 | 61 | 116 | 28 | 1 | 3.57% | 24 | 5 | 79.17% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 104 | 72 | 95 | 31 | 49 | 24 | 52.4% | 7.6% | 89.3% | 96.9 | Unlucky |
14 | Ducks | 5 | 1 | 2 | 0 | 2 | 0 | 0 | 0 | 14 | 14 | 0 | 6 | 0.600 | 14 | 25 | 39 | 0 | 0 | 6 | 2 | 4 | 2 | 161 | 40 | 54 | 60 | 7 | 164 | 48 | 48 | 118 | 23 | 7 | 30.43% | 21 | 3 | 85.71% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 127 | 90 | 115 | 35 | 60 | 29 | 38.9% | 8.7% | 91.5% | 100.2 | DULL |
15 | Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 31 | 15 | 9 | 7 | 0 | 27 | 14 | 6 | 18 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 21 | 14 | 25 | 8 | 13 | 6 | 40.0% | 6.5% | 88.9% | 95.3 | Unlucky |
16 | Canucks | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 16 | 1 | 6 | 0.600 | 17 | 34 | 51 | 0 | 0 | 10 | 1 | 6 | 0 | 151 | 63 | 42 | 46 | 0 | 145 | 48 | 54 | 107 | 20 | 5 | 25.00% | 25 | 5 | 80.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 121 | 82 | 113 | 36 | 64 | 32 | 52.2% | 11.3% | 89.0% | 100.2 | FUN |
17 | Devils | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 30 | 8 | 11 | 11 | 0 | 31 | 8 | 20 | 19 | 3 | 0 | 0.00% | 9 | 4 | 55.56% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 23 | 15 | 23 | 8 | 13 | 6 | 100.0% | 6.7% | 87.1% | 93.8 | Unlucky |
18 | Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 22 | 6 | 6 | 10 | 0 | 34 | 6 | 6 | 25 | 4 | 1 | 25.00% | 3 | 2 | 33.33% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 22 | 15 | 22 | 8 | 14 | 6 | 20.0% | 9.1% | 82.4% | 91.4 | FUN |
19 | Coyotes | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 13 | -3 | 2 | 0.250 | 10 | 19 | 29 | 0 | 0 | 5 | 1 | 4 | 0 | 133 | 40 | 51 | 42 | 0 | 129 | 34 | 51 | 109 | 18 | 2 | 11.11% | 21 | 1 | 95.24% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 93 | 62 | 94 | 31 | 51 | 25 | 40.0% | 7.5% | 89.9% | 97.4 | Unlucky |
20 | Lightning | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 28 | 7 | 9 | 12 | 0 | 26 | 6 | 4 | 21 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 25 | 18 | 21 | 7 | 12 | 6 | 50.0% | 10.7% | 84.6% | 95.3 | FUN |
21 | Predators | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 7 | -3 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 88 | 26 | 28 | 34 | 0 | 53 | 18 | 12 | 52 | 12 | 1 | 8.33% | 6 | 2 | 66.67% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 54 | 39 | 42 | 13 | 23 | 12 | 37.5% | 4.5% | 86.8% | 91.3 | Unlucky |
22 | Golden Knights | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 4 | 0.667 | 8 | 12 | 20 | 0 | 0 | 2 | 5 | 1 | 0 | 106 | 35 | 39 | 32 | 0 | 93 | 31 | 33 | 89 | 18 | 5 | 27.78% | 14 | 5 | 64.29% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 71 | 48 | 68 | 23 | 39 | 18 | 37.5% | 7.5% | 89.2% | 96.8 | Unlucky |
23 | Kraken | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 17 | -4 | 4 | 0.500 | 13 | 23 | 36 | 0 | 0 | 3 | 6 | 4 | 0 | 106 | 32 | 37 | 37 | 0 | 135 | 35 | 32 | 88 | 14 | 2 | 14.29% | 16 | 3 | 81.25% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 95 | 63 | 93 | 29 | 51 | 25 | 44.0% | 12.3% | 87.4% | 99.7 | FUN |
_Vs Division | 25 | 12 | 9 | 0 | 2 | 1 | 0 | 1 | 77 | 81 | -4 | 30 | 0.600 | 77 | 141 | 218 | 1 | 0 | 32 | 23 | 20 | 2 | 824 | 277 | 279 | 257 | 14 | 795 | 239 | 274 | 601 | 124 | 26 | 20.97% | 115 | 23 | 80.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 625 | 430 | 570 | 187 | 316 | 156 | 46.8% | 9.3% | 89.8% | 99.2 | FUN | |
_Vs Conference | 37 | 14 | 16 | 0 | 4 | 2 | 0 | 1 | 111 | 122 | -11 | 39 | 0.527 | 111 | 205 | 316 | 2 | 0 | 48 | 30 | 29 | 4 | 1257 | 423 | 437 | 381 | 19 | 1150 | 335 | 395 | 890 | 184 | 33 | 17.93% | 171 | 30 | 82.46% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 922 | 636 | 846 | 279 | 467 | 232 | 45.9% | 8.8% | 89.4% | 98.2 | Unlucky | |
_Since Last GM Reset | 47 | 17 | 19 | 0 | 5 | 5 | 0 | 1 | 152 | 159 | -7 | 50 | 0.532 | 152 | 281 | 433 | 2 | 0 | 61 | 41 | 45 | 5 | 1553 | 520 | 528 | 486 | 22 | 1506 | 450 | 500 | 1114 | 221 | 49 | 22.17% | 217 | 44 | 79.72% | 1 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 1147 | 785 | 1095 | 356 | 596 | 296 | 47.2% | 9.8% | 89.4% | 99.2 | FUN | |
Total | 47 | 17 | 19 | 0 | 5 | 5 | 0 | 1 | 152 | 159 | -7 | 50 | 0.532 | 152 | 281 | 433 | 2 | 0 | 61 | 41 | 45 | 5 | 1553 | 520 | 528 | 486 | 22 | 1506 | 450 | 500 | 1114 | 221 | 49 | 22.17% | 217 | 44 | 79.72% | 1 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 1147 | 785 | 1095 | 356 | 596 | 296 | 47.2% | 9.8% | 89.4% | 99.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1799 |
Neutral Zone Start | 753 |
Defensive Zone Start | 1685 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2247 |
Faceoffs Lost | 1990 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.1 | 9.57 |
2nd Period | 22.3 | 20.31 |
3rd Period | 32.6 | 30.68 |
Overtime | 33.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 100 |
---|---|
PP Goal | 49 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 12 | 10 |
Lost | 8 | 11 |
Overtime Lost | 4 | 2 |
PP Attempt | 221 |
---|---|
PP Goal | 49 |
PK Attempt | 217 |
PK Goal Against | 44 |
Home | |
---|---|
Shots For | 33.0 |
Shots Against | 32.0 |
Goals For | 3.2 |
Goals Against | 3.4 |
Hits | 23.7 |
Shots Blocked | 9.6 |
Pim | 10.6 |
Projected Total Cap Hit | 82,430,699$ |
Projected Cap Space | 1,069,301$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 45,039,506$ |
Players In Salary Cap | 21 |
Contracts | 51/55 |
LTIR Players | 0 |
Sharks Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akira Schmid | G | 24 | 925,000$ | 925,000$ | RFA | ||||||
Barclay Goodrow | C/LW/RW | 31 | 3,641,667$ | 3,641,667$ | 3,641,667$ | 3,641,667$ | 3,641,667$ | UFA | |||
Conor Garland | LW/RW | 28 | 4,950,000$ | 4,950,000$ | 4,950,000$ | 4,950,000$ | UFA | ||||
Darcy Kuemper | G | 34 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||
Elias Lindholm | C/RW | 30 | 4,850,000$ | 4,850,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ |
Erik Gudbranson | D | 33 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Ilya Mikheyev | LW/RW | 30 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||||
Jaycob Megna | D | 32 | 762,500$ | 762,500$ | UFA | ||||||
Jesper Fast | RW | 33 | 2,400,000$ | 2,400,000$ | 2,400,000$ | UFA | |||||
Jj Peterka | RW | 23 | 855,833$ | 855,833$ | 855,833$ | RFA | |||||
Josh Morrissey | D | 29 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | ||
Kaiden Guhle | D | 23 | 1,283,333$ | 1,283,333$ | 1,283,333$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ |
Patrick Brown | C/RW | 32 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Patrik Nemeth | D | 32 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Seth Jones | D | 30 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA |
Timo Meier | LW/RW | 28 | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ |
Timothy Liljegren | D | 25 | 1,400,000$ | 1,400,000$ | 3,000,000$ | 3,000,000$ | RFA | ||||
Tyler Motte | C/LW/RW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Valeri Nichushkin | LW/RW | 29 | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | UFA |
Vincent Trocheck | C/RW | 31 | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | UFA | |
William Nylander | LW/RW | 28 | 6,962,366$ | 6,962,366$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Green | D | 26 | 775,000$ | 775,000$ | RFA | ||||||
Artem Guryev | D | 21 | 860,000$ | 860,000$ | 860,000$ | 860,000$ | RFA | ||||
Arturs Silovs | G | 23 | 796,111$ | 796,111$ | 850,000$ | 850,000$ | RFA | ||||
Cal O'Reilly | C | 38 | 775,000$ | 775,000$ | UFA | ||||||
Cole Cassels | C | 29 | 775,000$ | 775,000$ | UFA | ||||||
Cole Krygier | D | 24 | 837,500$ | 837,500$ | RFA | ||||||
Cole Schneider | C/LW | 34 | 775,000$ | 775,000$ | UFA | ||||||
Corey Andonovski | RW | 25 | 925,000$ | 925,000$ | 775,000$ | RFA | |||||
David Gustafsson | C/LW | 24 | 825,000$ | 825,000$ | 835,000$ | 835,000$ | RFA | ||||
Eemil Viro | D | 22 | 902,500$ | 902,500$ | RFA | ||||||
Filip Zadina | LW/RW | 25 | 1,100,000$ | 1,100,000$ | RFA | ||||||
Gage Quinney | C/LW | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Henrik Tikkanen | G | 24 | 823,750$ | 823,750$ | 823,750$ | 823,750$ | RFA | ||||
Jack Matier | D | 21 | 801,667$ | 801,667$ | 801,667$ | 801,667$ | RFA | ||||
Jasper Weatherby | C | 27 | 775,000$ | 775,000$ | RFA | ||||||
Jonathan Bernier | G | 36 | 4,125,000$ | 4,125,000$ | UFA | ||||||
Jonny Brodzinski | C | 31 | 762,500$ | 762,500$ | 787,500$ | 787,500$ | UFA | ||||
Leon Gawanke | D | 25 | 775,000$ | 775,000$ | RFA | ||||||
Marc Johnstone | RW | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Mason Jobst | C | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Mason Morelli | C/LW | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Mason Primeau | C | 23 | 825,000$ | 825,000$ | RFA | ||||||
Matt Tomkins | G | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Maxim Cajkovic | RW | 24 | 925,000$ | 925,000$ | RFA | ||||||
Michael Stone | D | 34 | 775,000$ | 775,000$ | UFA | ||||||
Nicolas Beaudin | D | 25 | 775,000$ | 775,000$ | RFA | ||||||
Tim Berni | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Turner Elson | C/LW | 32 | 762,500$ | 762,500$ | UFA | ||||||
Tyler Benson | LW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Zane McIntyre | G | 32 | 775,000$ | 775,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Senators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 33 | 18 | 4 | 11 | 0 | 34 | 20 | 10 | 22 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 1 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 21 | 13 | 25 | 7 | 13 | 6 | 33.3% | 6.1% | 91.2% | 97.2 | DULL |
2 | Hurricanes | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 5 | 1 | 0 | 28 | 10 | 10 | 8 | 0 | 42 | 15 | 8 | 24 | 6 | 4 | 66.67% | 3 | 0 | 100.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 20 | 14 | 25 | 7 | 13 | 6 | 33.3% | 21.4% | 90.5% | 111.9 | FUN |
3 | Flyers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 20 | 6 | 2 | 12 | 0 | 28 | 12 | 6 | 24 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 20 | 12 | 26 | 7 | 13 | 6 | 66.7% | 20.0% | 96.4% | 116.4 | LUCKY |
4 | Rangers | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 1 | 1 | 38 | 10 | 14 | 13 | 1 | 32 | 10 | 12 | 16 | 5 | 2 | 40.00% | 5 | 2 | 60.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 24 | 16 | 23 | 8 | 11 | 6 | 60.0% | 13.2% | 87.5% | 100.7 | FUN |
5 | Islanders | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 22 | 8 | 6 | 8 | 0 | 53 | 19 | 20 | 16 | 3 | 3 | 100.00% | 9 | 2 | 77.78% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 19 | 12 | 28 | 8 | 12 | 5 | 33.3% | 22.7% | 88.7% | 111.4 | FUN |
6 | Blackhawks | 3 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 11 | 11 | 0 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 4 | 3 | 2 | 2 | 102 | 36 | 40 | 21 | 5 | 95 | 16 | 28 | 49 | 17 | 3 | 17.65% | 14 | 3 | 78.57% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 79 | 57 | 67 | 23 | 37 | 18 | 50.0% | 10.8% | 88.4% | 99.2 | FUN |
7 | Red Wings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 8 | 2 | 1.000 | 9 | 18 | 27 | 0 | 0 | 3 | 2 | 4 | 0 | 43 | 13 | 19 | 11 | 0 | 26 | 5 | 2 | 28 | 5 | 3 | 60.00% | 1 | 0 | 100.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 25 | 18 | 22 | 6 | 12 | 6 | 85.7% | 20.9% | 96.2% | 117.1 | LUCKY |
8 | Blue Jackets | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 32 | 11 | 10 | 9 | 2 | 50 | 14 | 17 | 29 | 0 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 19 | 11 | 29 | 7 | 12 | 6 | 60.0% | 9.4% | 92.0% | 101.4 | LUCKY |
9 | Oilers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 39 | 14 | 12 | 13 | 0 | 27 | 8 | 12 | 21 | 7 | 3 | 42.86% | 6 | 0 | 100.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 25 | 17 | 22 | 8 | 12 | 5 | 66.7% | 12.8% | 96.3% | 109.1 | LUCKY |
10 | Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 1 | 1 | 0 | 0 | 32 | 14 | 11 | 7 | 0 | 22 | 7 | 12 | 36 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 22 | 14 | 24 | 8 | 12 | 6 | 33.3% | 6.3% | 81.8% | 88.1 | Unlucky |
11 | Kings | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 14 | 22 | 1 | 0 | 3 | 2 | 3 | 0 | 103 | 34 | 40 | 29 | 0 | 91 | 26 | 34 | 62 | 14 | 3 | 21.43% | 9 | 2 | 77.78% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 78 | 55 | 61 | 22 | 39 | 19 | 45.5% | 7.8% | 91.2% | 99.0 | DULL |
12 | Blues | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 47 | 15 | 19 | 13 | 0 | 29 | 7 | 12 | 25 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 25 | 17 | 21 | 7 | 12 | 6 | 66.7% | 10.6% | 89.7% | 100.3 | FUN |
13 | Flames | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 12 | 15 | -3 | 4 | 0.500 | 12 | 24 | 36 | 0 | 0 | 5 | 5 | 2 | 0 | 158 | 59 | 55 | 40 | 7 | 140 | 43 | 61 | 116 | 28 | 1 | 3.57% | 24 | 5 | 79.17% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 104 | 72 | 95 | 31 | 49 | 24 | 52.4% | 7.6% | 89.3% | 96.9 | Unlucky |
14 | Ducks | 5 | 1 | 2 | 0 | 2 | 0 | 0 | 0 | 14 | 14 | 0 | 6 | 0.600 | 14 | 25 | 39 | 0 | 0 | 6 | 2 | 4 | 2 | 161 | 40 | 54 | 60 | 7 | 164 | 48 | 48 | 118 | 23 | 7 | 30.43% | 21 | 3 | 85.71% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 127 | 90 | 115 | 35 | 60 | 29 | 38.9% | 8.7% | 91.5% | 100.2 | DULL |
15 | Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 31 | 15 | 9 | 7 | 0 | 27 | 14 | 6 | 18 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 21 | 14 | 25 | 8 | 13 | 6 | 40.0% | 6.5% | 88.9% | 95.3 | Unlucky |
16 | Canucks | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 16 | 1 | 6 | 0.600 | 17 | 34 | 51 | 0 | 0 | 10 | 1 | 6 | 0 | 151 | 63 | 42 | 46 | 0 | 145 | 48 | 54 | 107 | 20 | 5 | 25.00% | 25 | 5 | 80.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 121 | 82 | 113 | 36 | 64 | 32 | 52.2% | 11.3% | 89.0% | 100.2 | FUN |
17 | Devils | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 30 | 8 | 11 | 11 | 0 | 31 | 8 | 20 | 19 | 3 | 0 | 0.00% | 9 | 4 | 55.56% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 23 | 15 | 23 | 8 | 13 | 6 | 100.0% | 6.7% | 87.1% | 93.8 | Unlucky |
18 | Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 22 | 6 | 6 | 10 | 0 | 34 | 6 | 6 | 25 | 4 | 1 | 25.00% | 3 | 2 | 33.33% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 22 | 15 | 22 | 8 | 14 | 6 | 20.0% | 9.1% | 82.4% | 91.4 | FUN |
19 | Coyotes | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 13 | -3 | 2 | 0.250 | 10 | 19 | 29 | 0 | 0 | 5 | 1 | 4 | 0 | 133 | 40 | 51 | 42 | 0 | 129 | 34 | 51 | 109 | 18 | 2 | 11.11% | 21 | 1 | 95.24% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 93 | 62 | 94 | 31 | 51 | 25 | 40.0% | 7.5% | 89.9% | 97.4 | Unlucky |
20 | Lightning | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 28 | 7 | 9 | 12 | 0 | 26 | 6 | 4 | 21 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 25 | 18 | 21 | 7 | 12 | 6 | 50.0% | 10.7% | 84.6% | 95.3 | FUN |
21 | Predators | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 7 | -3 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 88 | 26 | 28 | 34 | 0 | 53 | 18 | 12 | 52 | 12 | 1 | 8.33% | 6 | 2 | 66.67% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 54 | 39 | 42 | 13 | 23 | 12 | 37.5% | 4.5% | 86.8% | 91.3 | Unlucky |
22 | Golden Knights | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 4 | 0.667 | 8 | 12 | 20 | 0 | 0 | 2 | 5 | 1 | 0 | 106 | 35 | 39 | 32 | 0 | 93 | 31 | 33 | 89 | 18 | 5 | 27.78% | 14 | 5 | 64.29% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 71 | 48 | 68 | 23 | 39 | 18 | 37.5% | 7.5% | 89.2% | 96.8 | Unlucky |
23 | Kraken | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 17 | -4 | 4 | 0.500 | 13 | 23 | 36 | 0 | 0 | 3 | 6 | 4 | 0 | 106 | 32 | 37 | 37 | 0 | 135 | 35 | 32 | 88 | 14 | 2 | 14.29% | 16 | 3 | 81.25% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 95 | 63 | 93 | 29 | 51 | 25 | 44.0% | 12.3% | 87.4% | 99.7 | FUN |
_Vs Division | 25 | 12 | 9 | 0 | 2 | 1 | 0 | 1 | 77 | 81 | -4 | 30 | 0.600 | 77 | 141 | 218 | 1 | 0 | 32 | 23 | 20 | 2 | 824 | 277 | 279 | 257 | 14 | 795 | 239 | 274 | 601 | 124 | 26 | 20.97% | 115 | 23 | 80.00% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 625 | 430 | 570 | 187 | 316 | 156 | 46.8% | 9.3% | 89.8% | 99.2 | FUN | |
_Vs Conference | 37 | 14 | 16 | 0 | 4 | 2 | 0 | 1 | 111 | 122 | -11 | 39 | 0.527 | 111 | 205 | 316 | 2 | 0 | 48 | 30 | 29 | 4 | 1257 | 423 | 437 | 381 | 19 | 1150 | 335 | 395 | 890 | 184 | 33 | 17.93% | 171 | 30 | 82.46% | 0 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 922 | 636 | 846 | 279 | 467 | 232 | 45.9% | 8.8% | 89.4% | 98.2 | Unlucky | |
_Since Last GM Reset | 47 | 17 | 19 | 0 | 5 | 5 | 0 | 1 | 152 | 159 | -7 | 50 | 0.532 | 152 | 281 | 433 | 2 | 0 | 61 | 41 | 45 | 5 | 1553 | 520 | 528 | 486 | 22 | 1506 | 450 | 500 | 1114 | 221 | 49 | 22.17% | 217 | 44 | 79.72% | 1 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 1147 | 785 | 1095 | 356 | 596 | 296 | 47.2% | 9.8% | 89.4% | 99.2 | FUN | |
Total | 47 | 17 | 19 | 0 | 5 | 5 | 0 | 1 | 152 | 159 | -7 | 50 | 0.532 | 152 | 281 | 433 | 2 | 0 | 61 | 41 | 45 | 5 | 1553 | 520 | 528 | 486 | 22 | 1506 | 450 | 500 | 1114 | 221 | 49 | 22.17% | 217 | 44 | 79.72% | 1 | 961 | 1799 | 53.42% | 892 | 1685 | 52.94% | 394 | 753 | 52.32% | 1147 | 785 | 1095 | 356 | 596 | 296 | 47.2% | 9.8% | 89.4% | 99.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1799 |
Neutral Zone Start | 753 |
Defensive Zone Start | 1685 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2247 |
Faceoffs Lost | 1990 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.1 | 9.57 |
2nd Period | 22.3 | 20.31 |
3rd Period | 32.6 | 30.68 |
Overtime | 33.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 100 |
---|---|
PP Goal | 49 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 12 | 10 |
Lost | 8 | 11 |
Overtime Lost | 4 | 2 |
PP Attempt | 221 |
---|---|
PP Goal | 49 |
PK Attempt | 217 |
PK Goal Against | 44 |
Home | |
---|---|
Shots For | 33.0 |
Shots Against | 32.0 |
Goals For | 3.2 |
Goals Against | 3.4 |
Hits | 23.7 |
Shots Blocked | 9.6 |
Pim | 10.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wed, Oct 9 | SAN | @ | VGK | SAN3,VGK1 | RECAP | |||||||||
Thu, Oct 10 | SAN | @ | ANA | SAN1,ANA2 | RECAP | |||||||||
Sun, Oct 13 | LAK | @ | SAN | LAK2,SAN3 | RECAP | |||||||||
Tue, Oct 15 | SAN | @ | KRA | SAN5,KRA1 | RECAP | |||||||||
Wed, Oct 16 | EDM | @ | SAN | EDM1,SAN5 | RECAP | |||||||||
Sun, Oct 20 | ANA | @ | SAN | ANA5,SAN3 | RECAP | |||||||||
Mon, Oct 21 | SAN | @ | UTA | SAN3,UTA2 | RECAP | |||||||||
Wed, Oct 23 | KRA | @ | SAN | KRA5,SAN6 | RECAP | |||||||||
Fri, Oct 25 | SAN | @ | VAN | SAN1,VAN3 | RECAP | |||||||||
Tue, Oct 29 | CAL | @ | SAN | CAL4,SAN5 | RECAP | |||||||||
Wed, Oct 30 | SAN | @ | KRA | SAN2,KRA6 | RECAP | |||||||||
Fri, Nov 1 | VAN | @ | SAN | VAN2,SAN4 | RECAP | |||||||||
Sun, Nov 3 | SAN | @ | MIN | SAN2,MIN4 | RECAP | |||||||||
Tue, Nov 5 | VGK | @ | SAN | VGK2,SAN3 | RECAP | |||||||||
Wed, Nov 6 | SAN | @ | ANA | SAN4,ANA3 (OT) | RECAP | |||||||||
Fri, Nov 8 | ANA | @ | SAN | ANA3,SAN4 | RECAP | |||||||||
Thu, Nov 14 | TAM | @ | SAN | TAM4,SAN3 (OT) | RECAP | |||||||||
Sun, Nov 17 | CLB | @ | SAN | CLB4,SAN3 (OT) | RECAP | |||||||||
Tue, Nov 19 | SAN | @ | CAL | SAN3,CAL4 (SO) | RECAP | |||||||||
Fri, Nov 22 | LAK | @ | SAN | LAK4,SAN2 | RECAP | |||||||||
Sun, Nov 24 | SAN | @ | LAK | SAN3,LAK2 | RECAP | |||||||||
Wed, Nov 27 | SAN | @ | PHI | SAN4,PHI1 | RECAP | |||||||||
Thu, Nov 28 | VAN | @ | SAN | VAN4,SAN5 | RECAP | |||||||||
Mon, Dec 2 | OTT | @ | SAN | OTT3,SAN2 | RECAP | |||||||||
Fri, Dec 6 | NAS | @ | SAN | NAS3,SAN2 (OT) | RECAP | |||||||||
Sun, Dec 8 | SAN | @ | UTA | SAN1,UTA3 | RECAP | |||||||||
Thu, Dec 12 | ANA | @ | SAN | ANA1,SAN2 (OT) | RECAP | |||||||||
Fri, Dec 13 | SAN | @ | NYR | SAN5,NYR4 (OT) | RECAP | |||||||||
Sun, Dec 15 | STL | @ | SAN | STL3,SAN5 | RECAP | |||||||||
Tue, Dec 17 | SAN | @ | CHI | SAN4,CHI3 (OT) | RECAP | |||||||||
Thu, Dec 19 | SAN | @ | PIT | SAN2,PIT6 | RECAP | |||||||||
Fri, Dec 20 | CAL | @ | SAN | CAL4,SAN2 | RECAP | |||||||||
Tue, Dec 24 | SAN | @ | NAS | SAN2,NAS4 | RECAP | |||||||||
Wed, Dec 25 | CAL | @ | SAN | CAL3,SAN2 (OT) | RECAP | |||||||||
Fri, Dec 27 | SAN | @ | VAN | SAN5,VAN2 | RECAP | |||||||||
Sat, Dec 28 | CHI | @ | SAN | CHI6,SAN4 | RECAP | |||||||||
Wed, Jan 1 | DET | @ | SAN | DET1,SAN9 | RECAP | |||||||||
Fri, Jan 3 | SAN | @ | UTA | SAN4,UTA5 | RECAP | |||||||||
Mon, Jan 6 | UTA | @ | SAN | UTA3,SAN2 | RECAP | |||||||||
Wed, Jan 8 | SAN | @ | DAL | SAN2,DAL3 | RECAP | |||||||||
Thu, Jan 9 | NJD | @ | SAN | NJD4,SAN2 | RECAP | |||||||||
Sat, Jan 11 | SAN | @ | NYI | SAN5,NYI6 (OT) | RECAP | |||||||||
Mon, Jan 13 | CHI | @ | SAN | CHI2,SAN3 (OT) | RECAP | |||||||||
Tue, Jan 14 | SAN | @ | VGK | SAN2,VGK7 | RECAP | |||||||||
Thu, Jan 16 | SAN | @ | KRA | SAN0,KRA5 | RECAP | |||||||||
Sun, Jan 19 | SAN | @ | CAR | SAN6,CAR4 | RECAP | |||||||||
Mon, Jan 20 | VAN | @ | SAN | VAN5,SAN2 | RECAP | |||||||||
Thu, Jan 23 | SAN | @ | MIN | |||||||||||
Fri, Jan 24 | BOS | @ | SAN | |||||||||||
Fri, Jan 31 | WIN | @ | SAN | |||||||||||
Mon, Feb 3 | SAN | @ | ANA | |||||||||||
Wed, Feb 5 | WIN | @ | SAN | |||||||||||
Fri, Feb 7 | SAN | @ | NAS | |||||||||||
Sat, Feb 8 | SAN | @ | COL | |||||||||||
Mon, Feb 10 | MON | @ | SAN | |||||||||||
Wed, Feb 12 | SAN | @ | LAK | |||||||||||
Sat, Feb 15 | SAN | @ | EDM | |||||||||||
Sun, Feb 16 | COL | @ | SAN | |||||||||||
Tue, Feb 18 | EDM | @ | SAN | |||||||||||
Wed, Feb 19 | SAN | @ | WIN | |||||||||||
Fri, Feb 21 | SAN | @ | STL | |||||||||||
Sat, Feb 22 | MON | @ | SAN | |||||||||||
Mon, Feb 24 | SAN | @ | FLO | |||||||||||
Thu, Feb 27 | EDM | @ | SAN | |||||||||||
Mon, Mar 3 | CAR | @ | SAN | |||||||||||
Tue, Mar 4 | SAN | @ | BUF | |||||||||||
Thu, Mar 6 | SAN | @ | STL | |||||||||||
Sat, Mar 8 | WAS | @ | SAN | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Tue, Mar 11 | SAN | @ | EDM | |||||||||||
Fri, Mar 14 | LAK | @ | SAN | |||||||||||
Mon, Mar 17 | SAN | @ | VGK | |||||||||||
Tue, Mar 18 | SAN | @ | BUF | |||||||||||
Thu, Mar 20 | MIN | @ | SAN | |||||||||||
Mon, Mar 24 | SAN | @ | COL | |||||||||||
Tue, Mar 25 | WAS | @ | SAN | |||||||||||
Mon, Mar 31 | KRA | @ | SAN | |||||||||||
Fri, Apr 4 | SAN | @ | VAN | |||||||||||
Sat, Apr 5 | SAN | @ | TOR | |||||||||||
Sun, Apr 6 | SAN | @ | CAL | |||||||||||
Tue, Apr 8 | VGK | @ | SAN | |||||||||||
Sun, Apr 13 | DAL | @ | SAN | |||||||||||
Thu, Apr 17 | DAL | @ | SAN |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,430,699$ | 0$ | 82,430,699$ | 1,069,301$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | SAP Center | ||
City | San Jose | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 100$ | 50$ | 40$ | 20$ | 200$ |
Attendance | 88425 | 92239 | 53153 | 92507 | 18264 |
Attendance PCT | 73.69% | 96.08% | 73.82% | 96.36% | 76.10% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
17 | 14358 - 84.46% | 1,308,935$ | 31,414,431$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,430,699$ | 82,430,699$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
45,039,506$ | 82,430,699$ | 45,039,506$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
22,251,889$ | 88 | 424,901$ | 37,391,288$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
38,653,296$ | 82,430,699$ | 31,742,279$ | 16,987,153$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Amir Miftakhov | Sharks | 2021 | 172 | Goalie | Link |
Ben Meehan | Sharks | 2021 | 155 | Defense | Link |
Benjamin Gaudreau | Sharks | 2022 | 35 | Goalie | Link |
Chase Clark | Sharks | 2022 | 129 | Goalie | Link |
Connor Kelley | Sharks | 2022 | 218 | Defense | Link |
Dru Krebs | Sharks | 2022 | 197 | Defense | Link |
Hugo Gabrielson | Sharks | 2022 | 193 | Defense | Link |
Jaroslav Chmelar | Sharks | 2022 | 177 | Righr Wing | Link |
Jimmy Clark | Sharks | 2024 | 222 | Left Wing | Link |
Martin Rysavy | Sharks | 2022 | 209 | Left Wing | Link |
Mathew Hill | Sharks | 2020 | 212 | Defense | Link |
Nikita Quapp | Sharks | 2022 | 203 | Goalie | Link |
Oliver Tarnstrom | Sharks | 2021 | 86 | Left Wing | Link |
Tomas Machu | Sharks | 2022 | 223 | Defense | Link |
Victor Stjernborg | Sharks | 2022 | 156 | Center | Link |
Viktor Hurtig | Sharks | 2022 | 189 | Defense | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Amir Miftakhov | Sharks | 2021 | 172 | Goalie | Link |
Ben Meehan | Sharks | 2021 | 155 | Defense | Link |
Benjamin Gaudreau | Sharks | 2022 | 35 | Goalie | Link |
Chase Clark | Sharks | 2022 | 129 | Goalie | Link |
Connor Kelley | Sharks | 2022 | 218 | Defense | Link |
Dru Krebs | Sharks | 2022 | 197 | Defense | Link |
Hugo Gabrielson | Sharks | 2022 | 193 | Defense | Link |
Jaroslav Chmelar | Sharks | 2022 | 177 | Righr Wing | Link |
Jimmy Clark | Sharks | 2024 | 222 | Left Wing | Link |
Martin Rysavy | Sharks | 2022 | 209 | Left Wing | Link |
Mathew Hill | Sharks | 2020 | 212 | Defense | Link |
Nikita Quapp | Sharks | 2022 | 203 | Goalie | Link |
Oliver Tarnstrom | Sharks | 2021 | 86 | Left Wing | Link |
Tomas Machu | Sharks | 2022 | 223 | Defense | Link |
Victor Stjernborg | Sharks | 2022 | 156 | Center | Link |
Viktor Hurtig | Sharks | 2022 | 189 | Defense | Link |
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