Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jasper Weatherby | 19 | C | 100.00 | 77 | 42 | 76 | 62 | 91 | 79 | 80 | 63 | 78 | 65 | 62 | 61 | 63 | 64 | 66 | 0 | 50 | 70 | 25 | 925,000$/2yrs | |||
Brendan Perlini | 26 | LW | 100.00 | 75 | 42 | 86 | 64 | 86 | 71 | 70 | 64 | 53 | 62 | 68 | 55 | 64 | 66 | 68 | 0 | 50 | 69 | 26 | 1,028,000$/1yrs | |||
Alex Nylander | 36 | LW/RW | 100.00 | 60 | 37 | 94 | 66 | 76 | 87 | 95 | 65 | 62 | 61 | 63 | 58 | 67 | 64 | 66 | 0 | 50 | 69 | 25 | 831,500$/2yrs | |||
Lean Bergmann | 37 | C | 100.00 | 83 | 46 | 80 | 62 | 81 | 69 | 72 | 63 | 64 | 62 | 60 | 57 | 62 | 65 | 63 | 0 | 50 | 67 | 24 | 900,000$/1yrs | |||
Linus Sandin (A) | 29 | RW | 100.00 | 63 | 38 | 87 | 59 | 80 | 77 | 68 | 63 | 56 | 61 | 58 | 64 | 62 | 66 | 68 | 0 | 50 | 67 | 26 | 750,000$/1yrs | |||
Turner Elson | 33 | C | 100.00 | 71 | 38 | 92 | 58 | 73 | 85 | 86 | 59 | 68 | 58 | 59 | 60 | 59 | 70 | 72 | 0 | 50 | 67 | 30 | 758,333$/3yrs | |||
Chris Mueller | 24 | C | 100.00 | 63 | 39 | 86 | 56 | 72 | 83 | 88 | 57 | 70 | 59 | 60 | 58 | 61 | 85 | 74 | 0 | 50 | 66 | 37 | 750,000$/1yrs | |||
Pascal Laberge | 34 | C | 100.00 | 63 | 39 | 86 | 63 | 72 | 80 | 73 | 62 | 54 | 58 | 61 | 56 | 63 | 65 | 67 | 0 | 50 | 66 | 25 | 863,333$/1yrs | |||
Connor Zary (C) | 57 | C | 100.00 | 71 | 39 | 75 | 62 | 70 | 79 | 81 | 60 | 64 | 58 | 61 | 57 | 62 | 61 | 63 | 0 | 50 | 66 | 21 | 1,005,000$/4yrs | |||
Simon Ryfors | 20 | C | 100.00 | 60 | 38 | 86 | 62 | 69 | 81 | 94 | 61 | 72 | 60 | 56 | 57 | 62 | 65 | 67 | 0 | 50 | 66 | 25 | 775,000$/2yrs | |||
David Gustafsson | 3 | C | 100.00 | 67 | 38 | 93 | 56 | 80 | 79 | 74 | 57 | 76 | 58 | 59 | 62 | 56 | 63 | 64 | 0 | 50 | 65 | 23 | 1,117,667$/3yrs | |||
Travis Dermott | 15 | D | 100.00 | 63 | 38 | 87 | 71 | 76 | 84 | 88 | 67 | 30 | 66 | 57 | 63 | 50 | 67 | 69 | 0 | 50 | 70 | 26 | 1,207,000$/2yrs | |||
Justin Barron | 53 | D | 100.00 | 67 | 38 | 91 | 68 | 79 | 83 | 75 | 67 | 30 | 66 | 64 | 61 | 53 | 61 | 63 | 0 | 50 | 70 | 21 | 1,158,333$/3yrs | |||
Philip Broberg | 58 | D | 100.00 | 70 | 39 | 81 | 69 | 83 | 81 | 79 | 68 | 30 | 67 | 59 | 63 | 52 | 61 | 63 | 0 | 50 | 70 | 21 | 1,713,333$/3yrs | |||
Thomas Schemitsch | 40 | D | 100.00 | 77 | 34 | 79 | 60 | 86 | 70 | 91 | 58 | 30 | 60 | 54 | 58 | 49 | 66 | 68 | 0 | 50 | 67 | 26 | 1,847,000$/1yrs | |||
Christian Jaros | 4 | D | 100.00 | 76 | 72 | 87 | 59 | 88 | 78 | 71 | 58 | 30 | 60 | 56 | 61 | 48 | 65 | 66 | 0 | 50 | 67 | 27 | 1,000,000$/1yrs | |||
Jordan Harris (A) | 9 | D | 100.00 | 64 | 35 | 79 | 66 | 68 | 87 | 69 | 64 | 30 | 60 | 62 | 57 | 52 | 61 | 62 | 0 | 50 | 66 | 22 | 1,268,750$/4yrs | |||
Leon Gawanke | 18 | D | 100.00 | 66 | 38 | 84 | 59 | 75 | 77 | 89 | 54 | 30 | 61 | 56 | 57 | 52 | 63 | 65 | 0 | 50 | 65 | 23 | 780,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Kyle Rau | 27 | C | 100.00 | 67 | 38 | 83 | 65 | 66 | 85 | 82 | 63 | 72 | 64 | 65 | 68 | 62 | 70 | 69 | 0 | 50 | 70 | 30 | 750,000$/1yrs | |||
Mason Primeau | 22 | C | 100.00 | 81 | 42 | 77 | 55 | 90 | 61 | 76 | 57 | 64 | 56 | 52 | 59 | 53 | 61 | 63 | 0 | 50 | 65 | 21 | 825,000$/3yrs | |||
Justin Scott | 13 | C | 100.00 | 69 | 37 | 64 | 55 | 78 | 80 | 79 | 56 | 63 | 58 | 57 | 59 | 55 | 67 | 69 | 0 | 50 | 65 | 27 | 786,000$/1yrs | |||
Zachary Gallant | 61 | C | 100.00 | 69 | 37 | 62 | 58 | 78 | 72 | 80 | 57 | 62 | 56 | 53 | 55 | 54 | 63 | 65 | 0 | 50 | 64 | 24 | 786,667$/1yrs | |||
Jake McGrew | 2 | RW | 100.00 | 59 | 38 | 78 | 54 | 69 | 81 | 83 | 55 | 59 | 56 | 58 | 53 | 58 | 63 | 65 | 0 | 50 | 63 | 24 | 855,000$/1yrs | |||
Victor Berglund | 32 | D | 100.00 | 58 | 38 | 79 | 59 | 67 | 71 | 74 | 53 | 30 | 58 | 56 | 54 | 45 | 63 | 65 | 0 | 50 | 62 | 23 | 850,833$/1yrs |
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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jon Gillies | 1 | 100.00 | 77 | 76 | 77 | 97 | 76 | 75 | 77 | 76 | 75 | 77 | 76 | 68 | 81 | 0 | 50 | 79 | 29 | 800,000$/2yrs |
Mitchell Gillam | 14 | 100.00 | 75 | 67 | 65 | 70 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 70 | 84 | 0 | 50 | 75 | 30 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
Akira Schmid | 46 | 100.00 | 72 | 79 | 78 | 90 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 62 | 67 | 0 | 50 | 74 | 22 | 925,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jacques Lemaire | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 73 | 4 | 0$ |
General Manager |
---|
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 | Philip Broberg | Barracuda (SAN) | D | 78 | 17 | 51 | 68 | -3 | 52 | 0 | 162 | 146 | 55 | 97 | 11.64% | 107 | 21.24 | 7 | 18 | 25 | 0 | 2 | 2 | 156 | 1 | 1 | 0.00% | 0 | 0 | 0.87 | 0 | 0 | 0.73 | |||
2 | Jasper Weatherby | Barracuda (SAN) | C | 81 | 21 | 40 | 61 | -1 | 60 | 0 | 184 | 229 | 47 | 155 | 9.17% | 15 | 20.72 | 5 | 15 | 20 | 0 | 0 | 0 | 157 | 2 | 1 | 51.84% | 0 | 0 | 0.75 | 2 | 5 | 0.67 | |||
3 | Travis Dermott | Barracuda (SAN) | D | 76 | 9 | 51 | 60 | 9 | 34 | 0 | 77 | 118 | 31 | 88 | 7.63% | 115 | 20.40 | 3 | 8 | 11 | 0 | 0 | 0 | 169 | 0 | 1 | 0.00% | 0 | 0 | 0.79 | 0 | 0 | 0.71 | |||
4 | Linus Sandin | Barracuda (SAN) | RW | 80 | 25 | 26 | 51 | -9 | 12 | 0 | 71 | 249 | 54 | 156 | 10.04% | 21 | 18.00 | 6 | 7 | 13 | 0 | 0 | 0 | 57 | 4 | 1 | 50.00% | 0 | 0 | 0.64 | 0 | 2 | 0.69 | |||
5 | Alex Nylander | Barracuda (SAN) | LW/RW | 70 | 23 | 28 | 51 | -14 | 4 | 0 | 27 | 274 | 67 | 181 | 8.39% | 24 | 21.28 | 5 | 10 | 15 | 0 | 1 | 1 | 169 | 6 | 3 | 30.55% | 0 | 0 | 0.73 | 0 | 5 | 0.76 | |||
6 | Brendan Perlini | Barracuda (SAN) | LW | 76 | 24 | 25 | 49 | 13 | 20 | 0 | 140 | 213 | 68 | 160 | 11.27% | 11 | 19.84 | 3 | 5 | 8 | 1 | 0 | 1 | 150 | 5 | 2 | 41.04% | 0 | 1 | 0.64 | 0 | 3 | 0.77 | |||
7 | Kyle Rau | Barracuda (SAN) | C | 67 | 24 | 23 | 47 | 16 | 20 | 0 | 54 | 207 | 52 | 165 | 11.59% | 21 | 17.02 | 2 | 6 | 8 | 0 | 0 | 0 | 88 | 5 | 0 | 48.98% | 0 | 1 | 0.70 | 1 | 4 | 0.82 | |||
8 | Jordan Harris | Barracuda (SAN) | D | 85 | 19 | 28 | 47 | 3 | 42 | 0 | 119 | 109 | 30 | 90 | 17.43% | 96 | 20.21 | 8 | 4 | 12 | 0 | 0 | 0 | 166 | 3 | 1 | 0.00% | 0 | 0 | 0.55 | 0 | 0 | 0.50 | |||
9 | Christian Jaros | Barracuda (SAN) | D | 81 | 11 | 34 | 45 | 8 | 100 | 10 | 161 | 119 | 28 | 57 | 9.24% | 116 | 18.93 | 6 | 4 | 10 | 1 | 0 | 1 | 141 | 3 | 1 | 0.00% | 0 | 0 | 0.56 | 0 | 0 | 0.43 | |||
10 | Lean Bergmann | Barracuda (SAN) | C | 81 | 18 | 26 | 44 | -7 | 55 | 5 | 175 | 169 | 57 | 109 | 10.65% | 13 | 15.32 | 1 | 0 | 1 | 0 | 0 | 0 | 64 | 1 | 1 | 43.72% | 0 | 0 | 0.54 | 1 | 3 | 0.44 | |||
11 | Connor Zary | Barracuda (SAN) | C | 84 | 15 | 24 | 39 | -5 | 37 | 5 | 131 | 135 | 41 | 84 | 11.11% | 18 | 12.44 | 6 | 4 | 10 | 0 | 0 | 0 | 14 | 0 | 1 | 47.16% | 0 | 0 | 0.46 | 1 | 2 | 0.39 | |||
12 | Justin Barron | Barracuda (SAN) | D | 57 | 9 | 21 | 30 | -26 | 36 | 0 | 115 | 85 | 43 | 60 | 10.59% | 87 | 21.52 | 6 | 10 | 16 | 0 | 0 | 0 | 110 | 1 | 0 | 0.00% | 0 | 0 | 0.53 | 0 | 0 | 0.34 | |||
13 | Simon Ryfors | Barracuda (SAN) | C | 78 | 11 | 17 | 28 | -24 | 10 | 0 | 33 | 115 | 42 | 95 | 9.57% | 12 | 12.76 | 0 | 6 | 6 | 0 | 0 | 0 | 41 | 2 | 1 | 52.35% | 0 | 0 | 0.36 | 1 | 2 | 0.26 | |||
14 | Thomas Schemitsch | Barracuda (SAN) | D | 82 | 7 | 20 | 27 | -12 | 56 | 0 | 195 | 71 | 23 | 50 | 9.86% | 104 | 17.61 | 2 | 6 | 8 | 0 | 0 | 0 | 129 | 1 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.25 | |||
15 | Turner Elson | Barracuda (SAN) | C | 73 | 9 | 17 | 26 | -14 | 18 | 0 | 90 | 135 | 35 | 87 | 6.67% | 9 | 14.42 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 48.30% | 1 | 0 | 0.36 | 0 | 0 | 0.32 | |||
16 | Chris Mueller | Barracuda (SAN) | C | 73 | 5 | 10 | 15 | -5 | 17 | 5 | 43 | 86 | 31 | 62 | 5.81% | 8 | 11.35 | 2 | 2 | 4 | 0 | 0 | 0 | 7 | 0 | 0 | 47.65% | 0 | 0 | 0.21 | 0 | 2 | 0.19 | |||
17 | Leon Gawanke | Barracuda (SAN) | D | 53 | 5 | 10 | 15 | 1 | 24 | 0 | 41 | 31 | 16 | 17 | 16.13% | 52 | 13.22 | 1 | 0 | 1 | 0 | 0 | 0 | 74 | 0 | 0 | 0.00% | 0 | 0 | 0.28 | 0 | 0 | 0.23 | |||
18 | Pascal Laberge | Barracuda (SAN) | C | 68 | 7 | 6 | 13 | -9 | 10 | 0 | 27 | 68 | 24 | 54 | 10.29% | 3 | 9.80 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 2 | 48.60% | 0 | 0 | 0.19 | 0 | 1 | 0.15 | |||
19 | David Gustafsson | Barracuda (SAN) | C | 52 | 4 | 5 | 9 | -4 | 2 | 0 | 22 | 47 | 17 | 42 | 8.51% | 4 | 8.61 | 0 | 2 | 2 | 0 | 0 | 0 | 66 | 0 | 0 | 53.66% | 0 | 0 | 0.17 | 0 | 0 | 0.18 | |||
20 | Mason Primeau | Barracuda (SAN) | C | 29 | 1 | 3 | 4 | 5 | 10 | 0 | 21 | 15 | 2 | 11 | 6.67% | 0 | 4.36 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 70.00% | 0 | 0 | 0.14 | 0 | 0 | 0.16 | |||
21 | Justin Scott | Barracuda (SAN) | C | 29 | 1 | 3 | 4 | -7 | 2 | 0 | 30 | 19 | 11 | 25 | 5.26% | 3 | 8.63 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 51.22% | 0 | 0 | 0.14 | 0 | 0 | 0.10 | |||
22 | Jake McGrew | Barracuda (SAN) | RW | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 5 | 0.00% | 0 | 16.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.32 | |||
23 | Victor Berglund | Barracuda (SAN) | D | 2 | 0 | 1 | 1 | 4 | 2 | 0 | 2 | 1 | 0 | 0 | 0.00% | 1 | 14.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.94 | |||
24 | Zachary Gallant | Barracuda (SAN) | C | 7 | 0 | 0 | 0 | -4 | 0 | 0 | 4 | 1 | 1 | 1 | 0.00% | 1 | 5.77 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 54.55% | 0 | 0 | 0.00 | 0 | 0 | -0.19 | |||
Team Total or Average | 1465 | 265 | 470 | 735 | -85 | 623 | 25 | 1924 | 2644 | 776 | 1851 | 10.02% | 841 | 16.28 | 63 | 111 | 174 | 2408 | 2 | 3 | 5 | 1783 | 37 | 16 | 48.04% | 8107 | 0 | 0 | 1 | 2 | 0.62 | 6 | 29 |
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 | Jon Gillies | Barracuda (SAN) | 63 | 30 | 25 | 6 | 0.904 | 3.41 | 3622 | 14 | 3 | 206 | 2149 | 0 | 1 | 1 | 0.731 | 26 | 62 | 20 | 7 | 5 | 2 |
2 | Mitchell Gillam | Barracuda (SAN) | 25 | 10 | 10 | 1 | 0.910 | 3.29 | 1330 | 2 | 0 | 73 | 811 | 0 | 1 | 1 | 0.667 | 9 | 20 | 53 | 4 | 1 | 1 |
3 | Akira Schmid | Barracuda (SAN) | 1 | 0 | 0 | 0 | 0.909 | 4.00 | 15 | 0 | 0 | 1 | 11 | 0 | 0 | 0 | 0.000 | 0 | 0 | 9 | 0 | 0 | 0 |
Team Total or Average | 89 | 40 | 35 | 7 | 0.906 | 3.38 | 4968 | 16 | 3 | 280 | 2971 | 0 | 2 | 2 | 0.714 | 35 | 82 | 82 | 11 | 6 | 3 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akira Schmid | G | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Alex Nylander | LW/RW | 25 | 831,500$ | 913,000$ | 750,000$ | UFA | |||||
Brendan Perlini | LW | 26 | 1,028,000$ | 1,028,000$ | UFA | ||||||
Chris Mueller | C | 37 | 750,000$ | 750,000$ | UFA | ||||||
Christian Jaros | D | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Connor Zary | C | 21 | 1,005,000$ | 1,005,000$ | 1,005,000$ | 1,005,000$ | 1,005,000$ | RFA | |||
David Gustafsson | C | 23 | 1,117,667$ | 1,803,000$ | 775,000$ | 775,000$ | RFA | ||||
Jake McGrew | RW | 24 | 855,000$ | 855,000$ | RFA | ||||||
Jasper Weatherby | C | 25 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Jon Gillies | G | 29 | 800,000$ | 850,000$ | 750,000$ | UFA | |||||
Jordan Harris | D | 22 | 1,268,750$ | 1,137,500$ | 1,137,500$ | 1,400,000$ | 1,400,000$ | RFA | |||
Justin Barron | D | 21 | 1,158,333$ | 1,158,333$ | 1,158,333$ | 1,158,333$ | RFA | ||||
Justin Scott | C | 27 | 786,000$ | 786,000$ | UFA | ||||||
Kyle Rau | C | 30 | 750,000$ | 750,000$ | UFA | ||||||
Lean Bergmann | C | 24 | 900,000$ | 900,000$ | RFA | ||||||
Leon Gawanke | D | 23 | 780,000$ | 810,000$ | 750,000$ | RFA | |||||
Linus Sandin | RW | 26 | 750,000$ | 750,000$ | UFA | ||||||
Mason Primeau | C | 21 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | RFA | ||||
Mitchell Gillam | G | 30 | 750,000$ | 750,000$ | UFA | ||||||
Pascal Laberge | C | 25 | 863,333$ | 863,333$ | RFA | ||||||
Philip Broberg | D | 21 | 1,713,333$ | 1,713,333$ | 1,713,333$ | 1,713,333$ | RFA | ||||
Simon Ryfors | C | 25 | 775,000$ | 800,000$ | 750,000$ | UFA | |||||
Thomas Schemitsch | D | 26 | 1,847,000$ | 1,847,000$ | UFA | ||||||
Travis Dermott | D | 26 | 1,207,000$ | 914,000$ | 1,500,000$ | UFA | |||||
Turner Elson | C | 30 | 758,333$ | 750,000$ | 762,500$ | 762,500$ | UFA | ||||
Victor Berglund | D | 23 | 850,833$ | 850,833$ | RFA | ||||||
Zachary Gallant | C | 24 | 786,667$ | 786,667$ | RFA |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
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 | Checkers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 109 | 95 | 58 | 10 | 79 | 931 | 931 | 892 | 59 | 70 | 25 | 41 | 44 | 6 | 1 | 16.67% | 9 | 0 | 100.00% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 50.0% | 8.9% | 91.4% | 100.3 | Unlucky |
2 | Marlies | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 109 | 95 | 58 | 10 | 33 | 931 | 931 | 892 | 59 | 32 | 11 | 8 | 17 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 33.3% | 9.1% | 87.5% | 96.6 | FUN |
3 | Americans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 0.500 | 9 | 14 | 23 | 0 | 0 | 109 | 95 | 58 | 10 | 83 | 931 | 931 | 892 | 59 | 79 | 14 | 6 | 52 | 10 | 2 | 20.00% | 3 | 2 | 33.33% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 63.6% | 10.8% | 92.4% | 103.2 | LUCKY |
4 | Binghamton Senateurs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 109 | 95 | 58 | 10 | 54 | 931 | 931 | 892 | 59 | 26 | 8 | 0 | 16 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 60.0% | 11.1% | 84.6% | 95.7 | FUN |
5 | Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 109 | 95 | 58 | 10 | 29 | 931 | 931 | 892 | 59 | 28 | 11 | 15 | 23 | 6 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 25.0% | 3.4% | 89.3% | 92.7 | Unlucky |
6 | Rockets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 109 | 95 | 58 | 10 | 21 | 931 | 931 | 892 | 59 | 46 | 16 | 15 | 22 | 1 | 1 | 100.00% | 5 | 0 | 100.00% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 60.0% | 19.0% | 95.7% | 114.7 | LUCKY |
7 | Providence Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 109 | 95 | 58 | 10 | 31 | 931 | 931 | 892 | 59 | 40 | 11 | 10 | 20 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 28.6% | 6.5% | 82.5% | 89.0 | Unlucky |
8 | Wolves | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 109 | 95 | 58 | 10 | 53 | 931 | 931 | 892 | 59 | 31 | 12 | 6 | 22 | 6 | 1 | 16.67% | 3 | 1 | 66.67% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 62.5% | 11.3% | 87.1% | 98.4 | FUN |
9 | Eagles | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 8 | -2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 109 | 95 | 58 | 10 | 68 | 931 | 931 | 892 | 59 | 76 | 15 | 18 | 45 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 1 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 45.5% | 8.8% | 89.5% | 98.3 | Unlucky |
10 | Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 109 | 95 | 58 | 10 | 27 | 931 | 931 | 892 | 59 | 44 | 15 | 8 | 18 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 57.1% | 14.8% | 93.2% | 108.0 | LUCKY |
11 | Wolf Pack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 109 | 95 | 58 | 10 | 42 | 931 | 931 | 892 | 59 | 35 | 13 | 8 | 26 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 50.0% | 2.4% | 94.3% | 96.7 | DULL |
12 | islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 109 | 95 | 58 | 10 | 39 | 931 | 931 | 892 | 59 | 33 | 7 | 8 | 25 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 28.6% | 7.7% | 84.8% | 92.5 | Unlucky |
13 | IceHogs | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 109 | 95 | 58 | 10 | 67 | 931 | 931 | 892 | 59 | 79 | 24 | 18 | 55 | 7 | 1 | 14.29% | 9 | 3 | 66.67% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 41.7% | 9.0% | 87.3% | 96.3 | FUN |
14 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 109 | 95 | 58 | 10 | 35 | 931 | 931 | 892 | 59 | 36 | 14 | 8 | 29 | 5 | 1 | 20.00% | 3 | 2 | 33.33% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 16.7% | 5.7% | 80.6% | 86.3 | Unlucky |
15 | Monsters | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 109 | 95 | 58 | 10 | 28 | 931 | 931 | 892 | 59 | 40 | 5 | 6 | 23 | 0 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 42.9% | 10.7% | 85.0% | 95.7 | FUN |
16 | Condors | 6 | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 19 | 17 | 2 | 9 | 0.750 | 19 | 34 | 53 | 0 | 0 | 109 | 95 | 58 | 10 | 188 | 931 | 931 | 892 | 59 | 190 | 54 | 44 | 159 | 18 | 6 | 33.33% | 21 | 5 | 76.19% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 52.0% | 10.1% | 91.1% | 101.2 | Unlucky |
17 | Iowa Wild | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 109 | 95 | 58 | 10 | 86 | 931 | 931 | 892 | 59 | 102 | 32 | 28 | 71 | 5 | 2 | 40.00% | 11 | 1 | 90.91% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 52.9% | 12.8% | 91.2% | 104.0 | LUCKY |
18 | Reign | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 19 | -3 | 4 | 0.333 | 16 | 27 | 43 | 0 | 1 | 109 | 95 | 58 | 10 | 190 | 931 | 931 | 892 | 59 | 186 | 63 | 50 | 128 | 19 | 3 | 15.79% | 22 | 2 | 90.91% | 1 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 43.3% | 8.4% | 89.8% | 98.2 | Unlucky |
19 | Thunderbirds | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 109 | 95 | 58 | 10 | 60 | 931 | 931 | 892 | 59 | 98 | 27 | 6 | 53 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 33.3% | 10.0% | 88.8% | 98.8 | FUN |
20 | Wranglers | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 24 | -7 | 4 | 0.333 | 17 | 28 | 45 | 0 | 0 | 109 | 95 | 58 | 10 | 194 | 931 | 931 | 892 | 59 | 244 | 78 | 42 | 124 | 18 | 4 | 22.22% | 20 | 5 | 75.00% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 40.6% | 8.8% | 90.2% | 98.9 | Unlucky |
21 | Gulls | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 26 | -10 | 4 | 0.333 | 16 | 29 | 45 | 0 | 0 | 109 | 95 | 58 | 10 | 243 | 931 | 931 | 892 | 59 | 233 | 63 | 47 | 154 | 22 | 3 | 13.64% | 20 | 6 | 70.00% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 39.4% | 6.6% | 88.8% | 95.4 | Unlucky |
22 | Texas Stars | 3 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 12 | 8 | 4 | 6 | 1.000 | 12 | 23 | 35 | 0 | 0 | 109 | 95 | 58 | 10 | 138 | 931 | 931 | 892 | 59 | 111 | 34 | 16 | 65 | 11 | 3 | 27.27% | 7 | 2 | 71.43% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 60.0% | 8.7% | 92.8% | 101.5 | DULL |
23 | Canucks | 6 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 24 | 19 | 5 | 7 | 0.583 | 24 | 46 | 70 | 0 | 0 | 109 | 95 | 58 | 10 | 213 | 931 | 931 | 892 | 59 | 197 | 59 | 38 | 150 | 27 | 8 | 29.63% | 16 | 1 | 93.75% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 47.1% | 11.3% | 90.4% | 101.6 | FUN |
24 | Comets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 109 | 95 | 58 | 10 | 69 | 931 | 931 | 892 | 59 | 86 | 28 | 18 | 49 | 4 | 2 | 50.00% | 8 | 2 | 75.00% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 33.3% | 8.7% | 88.4% | 97.1 | Unlucky |
25 | W-B/Scranton Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 109 | 95 | 58 | 10 | 22 | 931 | 931 | 892 | 59 | 58 | 17 | 14 | 21 | 1 | 1 | 100.00% | 6 | 2 | 66.67% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 50.0% | 9.1% | 94.8% | 103.9 | LUCKY |
26 | Roadrunners | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 109 | 95 | 58 | 10 | 65 | 931 | 931 | 892 | 59 | 52 | 13 | 24 | 44 | 7 | 2 | 28.57% | 9 | 1 | 88.89% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 77.8% | 13.8% | 94.2% | 108.1 | LUCKY |
27 | Crunch | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 11 | 1 | 4 | 0.500 | 12 | 23 | 35 | 1 | 1 | 109 | 95 | 58 | 10 | 121 | 931 | 931 | 892 | 59 | 122 | 26 | 33 | 97 | 8 | 2 | 25.00% | 14 | 2 | 85.71% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 52.6% | 9.9% | 91.0% | 100.9 | FUN |
28 | Admirals | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 18 | 28 | 0 | 1 | 109 | 95 | 58 | 10 | 76 | 931 | 931 | 892 | 59 | 72 | 13 | 12 | 53 | 11 | 4 | 36.36% | 5 | 1 | 80.00% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 66.7% | 13.2% | 94.4% | 107.6 | LUCKY |
29 | Moose | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 109 | 95 | 58 | 10 | 61 | 931 | 931 | 892 | 59 | 76 | 16 | 12 | 55 | 8 | 3 | 37.50% | 6 | 1 | 83.33% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 50.0% | 14.8% | 90.8% | 105.5 | FUN |
30 | Silver Knights | 6 | 1 | 2 | 0 | 0 | 1 | 1 | 1 | 19 | 25 | -6 | 6 | 0.500 | 19 | 29 | 48 | 0 | 0 | 109 | 95 | 58 | 10 | 197 | 931 | 931 | 892 | 59 | 227 | 73 | 54 | 156 | 27 | 6 | 22.22% | 23 | 7 | 69.57% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 41.9% | 9.6% | 89.0% | 98.6 | FUN |
31 | Firebirds | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 14 | 4 | 8 | 0.667 | 18 | 34 | 52 | 1 | 0 | 109 | 95 | 58 | 10 | 168 | 931 | 931 | 892 | 59 | 224 | 69 | 36 | 133 | 15 | 5 | 33.33% | 14 | 1 | 92.86% | 0 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 50.0% | 10.7% | 93.8% | 104.5 | LUCKY |
_Vs Division | 42 | 17 | 19 | 0 | 0 | 1 | 2 | 3 | 129 | 144 | -15 | 42 | 0.500 | 129 | 227 | 356 | 1 | 1 | 109 | 95 | 58 | 10 | 1393 | 931 | 931 | 892 | 59 | 1501 | 459 | 311 | 1004 | 146 | 35 | 23.97% | 136 | 27 | 80.15% | 1 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 44.5% | 9.3% | 90.4% | 99.7 | FUN | |
_Vs Conference | 60 | 24 | 23 | 0 | 4 | 1 | 3 | 5 | 198 | 204 | -6 | 68 | 0.567 | 198 | 354 | 552 | 1 | 2 | 109 | 95 | 58 | 10 | 2014 | 931 | 931 | 892 | 59 | 2167 | 633 | 445 | 1445 | 207 | 52 | 25.12% | 194 | 39 | 79.90% | 2 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 46.9% | 9.8% | 90.6% | 100.4 | FUN | |
_Since Last GM Reset | 82 | 33 | 35 | 0 | 4 | 2 | 3 | 5 | 269 | 287 | -18 | 87 | 0.530 | 269 | 484 | 753 | 2 | 3 | 109 | 95 | 58 | 10 | 2780 | 931 | 931 | 892 | 59 | 2973 | 866 | 649 | 1949 | 279 | 65 | 23.30% | 269 | 55 | 79.55% | 2 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 46.8% | 9.7% | 90.3% | 100.0 | FUN | |
Total | 82 | 33 | 35 | 0 | 4 | 2 | 3 | 5 | 269 | 287 | -18 | 87 | 0.530 | 269 | 484 | 753 | 2 | 3 | 109 | 95 | 58 | 10 | 2780 | 931 | 931 | 892 | 59 | 2973 | 866 | 649 | 1949 | 279 | 65 | 23.30% | 269 | 55 | 79.55% | 2 | 1435 | 2997 | 47.88% | 1519 | 3121 | 48.67% | 677 | 1357 | 49.89% | 1941 | 1330 | 1966 | 608 | 1067 | 533 | 46.8% | 9.7% | 90.3% | 100.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2997 |
Neutral Zone Start | 1357 |
Defensive Zone Start | 3121 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3631 |
Faceoffs Lost | 3844 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.4 | 9.57 |
2nd Period | 22.7 | 20.31 |
3rd Period | 33.6 | 30.68 |
Overtime | 34.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 200 |
---|---|
PP Goal | 65 |
PK Goal | 2 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 19 | 21 |
Lost | 17 | 18 |
Overtime Lost | 5 | 2 |
PP Attempt | 279 |
---|---|
PP Goal | 65 |
PK Attempt | 269 |
PK Goal Against | 55 |
Home | |
---|---|
Shots For | 33.9 |
Shots Against | 36.3 |
Goals For | 3.3 |
Goals Against | 3.5 |
Hits | 23.8 |
Shots Blocked | 10.6 |
Pim | 7.9 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,644,599$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | San Jose | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 40$ | 20$ | $ | $ | $ |
Attendance | 51872 | 26266 | |||
Attendance PCT | 63.26% | 64.06% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 1906 - 63.53% | 94,495$ | 3,874,298$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,644,599$ | 2,600,674$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
454,927$ | 0$ | 448,086$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 14,218$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie |
---|---|---|
|
|
|