

































Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | LW | 100.00 | 71 | 60 | 72 | 76 | 77 | 82 | 92 | 88 | 59 | 92 | 82 | 70 | 61 | 70 | 68 | 0 | 83 | 25 | 9,500,000$/8yrs | |||||
![]() | LW/RW | 100.00 | 66 | 40 | 75 | 83 | 86 | 77 | 90 | 81 | 55 | 89 | 76 | 67 | 70 | 69 | 59 | 0 | 80 | 27 | 7,875,000$/7yrs | |||||
![]() | C | 100.00 | 72 | 40 | 80 | 77 | 83 | 83 | 92 | 74 | 85 | 80 | 72 | 66 | 58 | 75 | 68 | 0 | 78 | 30 | 8,137,500$/8yrs | |||||
![]() | C | 100.00 | 68 | 40 | 86 | 78 | 72 | 79 | 93 | 66 | 75 | 77 | 65 | 75 | 58 | 74 | 60 | 0 | 75 | 29 | 4,500,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 69 | 40 | 87 | 79 | 80 | 78 | 82 | 71 | 52 | 80 | 68 | 62 | 65 | 58 | 58 | 0 | 75 | 29 | 2,500,000$/2yrs | |||||
![]() | LW | 100.00 | 66 | 40 | 86 | 76 | 79 | 75 | 84 | 73 | 53 | 81 | 70 | 63 | 54 | 72 | 59 | 0 | 75 | 28 | 5,500,000$/5yrs | |||||
![]() | C | 100.00 | 67 | 57 | 87 | 74 | 81 | 78 | 85 | 71 | 73 | 80 | 68 | 66 | 68 | 74 | 69 | 0 | 75 | 31 | 7,142,857$/4yrs | |||||
![]() | LW/RW | 100.00 | 69 | 40 | 87 | 73 | 82 | 68 | 89 | 65 | 68 | 72 | 69 | 74 | 54 | 61 | 58 | 0 | 73 | 27 | 2,250,000$/8yrs | |||||
![]() | LW | 100.00 | 83 | 64 | 75 | 63 | 95 | 67 | 88 | 63 | 52 | 71 | 67 | 65 | 69 | 69 | 59 | 0 | 72 | 28 | 2,500,000$/1yrs | |||||
![]() | C/LW | 100.00 | 74 | 40 | 89 | 67 | 80 | 68 | 82 | 60 | 70 | 69 | 65 | 77 | 58 | 74 | 67 | 0 | 72 | 29 | 2,200,000$/2yrs | |||||
![]() | C/LW | 100.00 | 72 | 40 | 91 | 70 | 75 | 63 | 74 | 61 | 70 | 70 | 65 | 76 | 68 | 58 | 58 | 0 | 71 | 24 | 750,000$/2yrs | |||||
![]() | C | 100.00 | 69 | 66 | 80 | 62 | 70 | 63 | 68 | 61 | 73 | 67 | 65 | 68 | 54 | 60 | 58 | 0 | 68 | 29 | 762,500$/2yrs | |||||
![]() | D | 100.00 | 78 | 71 | 82 | 76 | 99 | 82 | 91 | 62 | 40 | 73 | 62 | 89 | 54 | 70 | 59 | 0 | 78 | 30 | 4,600,000$/4yrs | |||||
![]() | D | 100.00 | 79 | 72 | 63 | 82 | 85 | 79 | 73 | 61 | 40 | 74 | 60 | 85 | 54 | 70 | 66 | 0 | 76 | 32 | 4,500,000$/4yrs | |||||
![]() | D | 100.00 | 78 | 57 | 80 | 80 | 72 | 87 | 94 | 65 | 40 | 76 | 63 | 78 | 54 | 66 | 59 | 0 | 76 | 28 | 5,875,000$/3yrs | |||||
![]() | D | 98.67 | 73 | 40 | 76 | 66 | 79 | 74 | 79 | 61 | 40 | 73 | 59 | 79 | 57 | 87 | 68 | 0 | 73 | 37 | 1,500,000$/1yrs | |||||
![]() | D | 100.00 | 66 | 40 | 80 | 70 | 77 | 73 | 87 | 59 | 40 | 72 | 59 | 85 | 54 | 71 | 59 | 0 | 72 | 31 | 1,200,000$/3yrs | |||||
![]() | D | 100.00 | 63 | 41 | 86 | 57 | 80 | 66 | 66 | 55 | 40 | 71 | 55 | 79 | 54 | 69 | 59 | 0 | 68 | 30 | 750,000$/1yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | D | 99.11 | 61 | 45 | 82 | 66 | 69 | 69 | 65 | 61 | 40 | 69 | 63 | 74 | 54 | 60 | 58 | 0 | 69 | 29 | 762,500$/2yrs | |||||
![]() | D | 100.00 | 57 | 56 | 61 | 59 | 76 | 67 | 65 | 56 | 40 | 57 | 54 | 62 | 54 | 70 | 62 | 0 | 63 | 31 | 750,000$/3yrs | |||||
TEAM AVERAGE | 99.85 | 70 | 49 | 80 | 72 | 80 | 74 | 82 | 66 | 55 | 75 | 65 | 73 | 59 | 69 | 62 | 0 | 74 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 76 | 77 | 77 | 73 | 80 | 72 | 84 | 72 | 84 | 81 | 76 | 61 | 55 | 0 | 78 | 32 | 1,800,000$/2yrs | |
![]() | 0 | 100.00 | 70 | 81 | 81 | 80 | 81 | 75 | 81 | 60 | 85 | 75 | 91 | 73 | 63 | 0 | 77 | 33 | 2,875,000$/3yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 73 | 79 | 79 | 77 | 81 | 74 | 83 | 66 | 85 | 78 | 84 | 67 | 59 | 0 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mario Lemieux | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 60 | 5 | 0$ |
General Manager | Alexandre Bélanger |
---|
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 | Tomas Hertl | ![]() | 0 | C | 26 | 9 | 10 | 19 | -4 | 16 | 0 | 42 | 53 | 28 | 33 | 16.98% | 1 | 19.07 | 4 | 6 | 10 | 0 | 0 | 0 | 54 | 3 | 0 | 51.05% | 0 | 0 | 0.73 | 0 | 0 | 0.55 | ||
2 | Matthew Tkachuk | ![]() | 0 | LW | 24 | 8 | 10 | 18 | 0 | 34 | 0 | 49 | 69 | 33 | 60 | 11.59% | 1 | 19.83 | 0 | 6 | 6 | 0 | 0 | 0 | 22 | 3 | 0 | 46.88% | 0 | 0 | 0.75 | 0 | 0 | 0.59 | ||
3 | Andre Burakovsky | ![]() | 0 | LW | 26 | 5 | 9 | 14 | 3 | 4 | 0 | 14 | 53 | 22 | 38 | 9.43% | 2 | 16.23 | 1 | 4 | 5 | 0 | 0 | 0 | 4 | 1 | 0 | 29.41% | 0 | 1 | 0.54 | 0 | 0 | 0.58 | ||
4 | Kevin Fiala | ![]() | 0 | LW/RW | 24 | 1 | 13 | 14 | 1 | 4 | 0 | 29 | 63 | 14 | 58 | 1.59% | 2 | 19.06 | 1 | 4 | 5 | 0 | 0 | 0 | 37 | 0 | 0 | 54.55% | 0 | 0 | 0.58 | 0 | 0 | 0.64 | ||
5 | Neal Pionk | ![]() | 0 | D | 24 | 7 | 6 | 13 | -7 | 16 | 0 | 40 | 44 | 13 | 12 | 15.91% | 19 | 21.75 | 4 | 4 | 8 | 0 | 0 | 0 | 71 | 0 | 0 | 0.00% | 0 | 0 | 0.54 | 0 | 0 | 0.38 | ||
6 | Jamie Oleksiak | ![]() | 0 | D | 24 | 2 | 10 | 12 | 4 | 20 | 0 | 37 | 25 | 14 | 23 | 8.00% | 33 | 22.59 | 2 | 1 | 3 | 0 | 0 | 0 | 94 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.43 | ||
7 | Jon Merrill | ![]() | 4 | D | 24 | 2 | 9 | 11 | 2 | 12 | 0 | 28 | 20 | 7 | 8 | 10.00% | 26 | 16.54 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 0 | 0.00% | 0 | 0 | 0.46 | 0 | 0 | 0.38 | ||
8 | Alexander Barabanov | ![]() | 0 | LW/RW | 24 | 3 | 7 | 10 | 0 | 12 | 0 | 37 | 36 | 4 | 29 | 8.33% | 2 | 16.88 | 1 | 3 | 4 | 0 | 0 | 0 | 11 | 2 | 0 | 51.72% | 0 | 0 | 0.42 | 0 | 0 | 0.37 | ||
9 | Pierre Engvall | ![]() | 0 | LW/RW | 24 | 5 | 5 | 10 | 3 | 18 | 0 | 30 | 38 | 11 | 19 | 13.16% | 2 | 13.27 | 1 | 1 | 2 | 0 | 0 | 0 | 30 | 0 | 2 | 26.09% | 0 | 0 | 0.42 | 0 | 0 | 0.36 | ||
10 | Alexander Edler | ![]() | 0 | D | 24 | 4 | 6 | 10 | 1 | 20 | 0 | 36 | 21 | 7 | 9 | 19.05% | 31 | 19.43 | 4 | 1 | 5 | 0 | 0 | 0 | 88 | 1 | 0 | 0.00% | 0 | 0 | 0.42 | 0 | 0 | 0.32 | ||
11 | Alex Wennberg | ![]() | 0 | C | 24 | 3 | 5 | 8 | 5 | 10 | 0 | 38 | 49 | 17 | 43 | 6.12% | 5 | 20.94 | 1 | 2 | 3 | 0 | 0 | 0 | 103 | 1 | 0 | 51.84% | 0 | 0 | 0.33 | 0 | 0 | 0.43 | ||
12 | Kevin Hayes | ![]() | 0 | C | 24 | 4 | 2 | 6 | 0 | 8 | 0 | 20 | 41 | 3 | 18 | 9.76% | 3 | 16.53 | 0 | 1 | 1 | 0 | 0 | 0 | 37 | 0 | 0 | 49.31% | 0 | 0 | 0.25 | 0 | 0 | 0.25 | ||
13 | Ryan Poehling | ![]() | 0 | C/LW | 24 | 3 | 3 | 6 | 4 | 4 | 0 | 10 | 24 | 8 | 13 | 12.50% | 3 | 9.13 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 53.33% | 0 | 0 | 0.25 | 0 | 0 | 0.30 | ||
14 | Josh Manson | ![]() | 0 | D | 22 | 1 | 4 | 5 | -5 | 32 | 0 | 54 | 17 | 8 | 13 | 5.88% | 16 | 17.97 | 1 | 1 | 2 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | -0.03 | ||
15 | Calle Rosen | ![]() | 0 | D | 11 | 1 | 2 | 3 | 6 | 10 | 0 | 12 | 3 | 0 | 1 | 33.33% | 6 | 14.69 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 0 | 0.26 | ||
16 | Nick Ritchie | ![]() | 0 | LW | 24 | 0 | 2 | 2 | 0 | 29 | 5 | 38 | 18 | 4 | 12 | 0.00% | 0 | 8.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.08 | 0 | 0 | -0.05 | ||
17 | Zemgus Girgensons | ![]() | 0 | C/LW | 24 | 2 | 0 | 2 | -5 | 6 | 0 | 13 | 18 | 5 | 16 | 11.11% | 4 | 9.91 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 0 | 0 | 50.28% | 0 | 0 | 0.08 | 0 | 0 | 0.02 | ||
18 | Ryan Murray | ![]() | 0 | D | 2 | 0 | 0 | 0 | 0 | 6 | 0 | 1 | 1 | 0 | 1 | 0.00% | 3 | 14.75 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.39 | ||
19 | Sheldon Dries | ![]() | 0 | C | 24 | 0 | 0 | 0 | -3 | 11 | 5 | 9 | 8 | 2 | 7 | 0.00% | 0 | 5.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35.29% | 0 | 0 | 0.00 | 0 | 0 | -0.09 | ||
Team Total or Average | 423 | 60 | 103 | 163 | 5 | 272 | 10 | 537 | 601 | 200 | 413 | 9.98% | 159 | 16.07 | 20 | 34 | 54 | 856 | 0 | 0 | 0 | 767 | 11 | 2 | 50.27% | 2003 | 0 | 0 | 0 | 1 | 0.48 | 0 | 0 |
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 | Casey DeSmith | ![]() | 18 | 8 | 8 | 0 | 0.908 | 2.49 | 963 | 0 | 1 | 40 | 435 | 0 | 0 | 0 | 0.000 | 0 | 17 | 7 | 1 | 1 | 2 |
2 | Jake Allen | ![]() | 10 | 2 | 6 | 0 | 0.889 | 3.28 | 475 | 0 | 0 | 26 | 234 | 0 | 0 | 0 | 0.000 | 0 | 7 | 17 | 0 | 0 | 0 |
Team Total or Average | 28 | 10 | 14 | 0 | 0.901 | 2.75 | 1439 | 0 | 1 | 66 | 669 | 0 | 0 | 0 | 0.000 | 0 | 24 | 24 | 1 | 1 | 2 |
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 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 33 | 9 | 11 | 13 | 0 | 24 | 5 | 10 | 23 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 25 | 18 | 22 | 7 | 11 | 5 | 100.0% | 9.1% | 95.8% | 104.9 | LUCKY |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 22 | 6 | 6 | 10 | 0 | 24 | 9 | 10 | 20 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 24 | 16 | 22 | 8 | 13 | 6 | 100.0% | 9.1% | 95.8% | 104.9 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 35 | 15 | 10 | 10 | 0 | 25 | 7 | 6 | 18 | 7 | 2 | 28.57% | 3 | 0 | 100.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 25 | 17 | 20 | 7 | 14 | 7 | 0.0% | 5.7% | 84.0% | 89.7 | Unlucky |
4 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 0 | 1 | 25 | 4 | 11 | 9 | 1 | 19 | 8 | 10 | 19 | 5 | 2 | 40.00% | 3 | 2 | 33.33% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 20 | 12 | 27 | 9 | 14 | 7 | 66.7% | 16.0% | 84.2% | 100.2 | FUN |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 7 | 3 | 8 | 0 | 29 | 5 | 16 | 24 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 19 | 13 | 28 | 7 | 12 | 4 | 0.0% | 0.0% | 89.7% | 89.7 | Unlucky |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 23 | 7 | 7 | 9 | 0 | 22 | 8 | 10 | 11 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 23 | 15 | 23 | 7 | 13 | 6 | 75.0% | 13.0% | 95.5% | 108.5 | LUCKY |
7 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 17 | 4 | 8 | 5 | 0 | 19 | 7 | 4 | 24 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 22 | 14 | 24 | 8 | 13 | 7 | 25.0% | 11.8% | 84.2% | 96.0 | FUN |
8 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 18 | 9 | 6 | 3 | 0 | 31 | 9 | 12 | 22 | 4 | 2 | 50.00% | 6 | 2 | 66.67% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 17 | 10 | 27 | 8 | 14 | 6 | 100.0% | 22.2% | 93.5% | 115.8 | LUCKY |
9 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 0.500 | 4 | 8 | 12 | 0 | 1 | 2 | 1 | 1 | 0 | 57 | 19 | 17 | 21 | 0 | 41 | 10 | 19 | 49 | 9 | 2 | 22.22% | 5 | 0 | 100.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 51 | 35 | 42 | 14 | 25 | 13 | 66.7% | 7.0% | 97.6% | 104.6 | DULL |
10 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 78 | 33 | 23 | 22 | 0 | 82 | 13 | 24 | 73 | 14 | 4 | 28.57% | 12 | 3 | 75.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 69 | 46 | 74 | 23 | 36 | 17 | 22.2% | 7.7% | 87.8% | 95.5 | Unlucky |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 36 | 10 | 9 | 17 | 0 | 23 | 6 | 10 | 33 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 24 | 15 | 23 | 7 | 12 | 6 | 100.0% | 11.1% | 95.7% | 106.8 | LUCKY |
12 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 29 | 9 | 10 | 10 | 0 | 17 | 7 | 6 | 18 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 23 | 15 | 23 | 8 | 13 | 6 | 100.0% | 13.8% | 94.1% | 107.9 | LUCKY |
13 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 3 | 0 | 0 | 38 | 18 | 10 | 10 | 0 | 76 | 17 | 50 | 56 | 6 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 40 | 26 | 54 | 15 | 24 | 11 | 44.4% | 10.5% | 89.5% | 100.0 | FUN |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 35 | 11 | 15 | 9 | 0 | 37 | 9 | 16 | 22 | 4 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 26 | 17 | 21 | 7 | 12 | 6 | 50.0% | 2.9% | 94.6% | 97.5 | DULL |
15 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 38 | 12 | 17 | 9 | 0 | 60 | 27 | 22 | 51 | 11 | 1 | 9.09% | 9 | 3 | 66.67% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 40 | 25 | 51 | 16 | 27 | 13 | 28.6% | 7.9% | 86.7% | 94.6 | Unlucky |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 19 | 9 | 5 | 5 | 0 | 34 | 19 | 12 | 13 | 1 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 21 | 14 | 26 | 7 | 12 | 6 | 50.0% | 5.3% | 91.2% | 96.4 | DULL |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 22 | 4 | 7 | 11 | 0 | 46 | 8 | 14 | 33 | 2 | 0 | 0.00% | 7 | 4 | 42.86% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 19 | 11 | 27 | 8 | 13 | 6 | 66.7% | 18.2% | 87.0% | 105.1 | FUN |
18 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 44 | 22 | 11 | 11 | 0 | 60 | 16 | 36 | 64 | 14 | 2 | 14.29% | 17 | 4 | 76.47% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 41 | 27 | 53 | 16 | 24 | 11 | 33.3% | 9.1% | 86.7% | 95.8 | FUN |
_Vs Division | 10 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 23 | 31 | -8 | 8 | 0.400 | 23 | 43 | 66 | 0 | 0 | 8 | 10 | 5 | 0 | 242 | 102 | 75 | 65 | 0 | 303 | 71 | 144 | 255 | 47 | 9 | 19.15% | 64 | 14 | 78.13% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 220 | 144 | 254 | 79 | 125 | 61 | 45.2% | 9.5% | 89.8% | 99.3 | FUN | |
_Vs Conference | 17 | 6 | 11 | 0 | 0 | 0 | 0 | 0 | 38 | 48 | -10 | 12 | 0.353 | 38 | 71 | 109 | 0 | 1 | 13 | 18 | 7 | 0 | 411 | 155 | 124 | 132 | 0 | 495 | 126 | 219 | 431 | 73 | 12 | 16.44% | 95 | 23 | 75.79% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 378 | 248 | 425 | 133 | 215 | 105 | 51.0% | 9.2% | 90.3% | 99.5 | FUN | |
_Since Last GM Reset | 24 | 9 | 14 | 0 | 1 | 0 | 0 | 0 | 55 | 66 | -11 | 20 | 0.417 | 55 | 103 | 158 | 0 | 1 | 19 | 25 | 10 | 1 | 587 | 208 | 186 | 192 | 1 | 669 | 190 | 287 | 573 | 105 | 17 | 16.19% | 125 | 30 | 76.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 537 | 354 | 593 | 189 | 311 | 153 | 51.4% | 9.4% | 90.1% | 99.5 | FUN | |
Total | 24 | 9 | 14 | 0 | 1 | 0 | 0 | 0 | 55 | 66 | -11 | 20 | 0.417 | 55 | 103 | 158 | 0 | 1 | 19 | 25 | 10 | 1 | 587 | 208 | 186 | 192 | 1 | 669 | 190 | 287 | 573 | 105 | 17 | 16.19% | 125 | 30 | 76.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 537 | 354 | 593 | 189 | 311 | 153 | 51.4% | 9.4% | 90.1% | 99.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 768 |
Neutral Zone Start | 358 |
Defensive Zone Start | 803 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 957 |
Faceoffs Lost | 972 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.7 | 9.57 |
2nd Period | 16.4 | 20.31 |
3rd Period | 24.4 | 30.68 |
Overtime | 24.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 38 |
---|---|
PP Goal | 17 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 6 | 4 |
Lost | 8 | 6 |
Overtime Lost | 0 | 0 |
PP Attempt | 105 |
---|---|
PP Goal | 17 |
PK Attempt | 125 |
PK Goal Against | 30 |
Home | |
---|---|
Shots For | 24.5 |
Shots Against | 27.9 |
Goals For | 2.3 |
Goals Against | 2.8 |
Hits | 23.9 |
Shots Blocked | 7.9 |
Pim | 12.0 |
![]() | |
Projected Total Cap Hit | 78,230,357$ |
Projected Cap Space | 4,269,643$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 25,325,349$ |
Players In Salary Cap | 22 |
Contracts | 47/50 |
LTIR Players | 0 |
Kraken Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Wennberg ![]() | C | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Alexander Barabanov ![]() | LW/RW | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Alexander Edler ![]() | D | 37 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Andre Burakovsky ![]() | LW | 28 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||
Calle Rosen ![]() | D | 29 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Casey DeSmith ![]() | G | 32 | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||||
Dylan McIlrath ![]() | D | 31 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Jake Allen ![]() | G | 33 | 2,875,000$ | 2,875,000$ | 3,850,000$ | 3,850,000$ | UFA | ||||
Jamie Oleksiak ![]() | D | 30 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA | |||
Jon Merrill ![]() | D | 31 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Josh Manson ![]() | D | 32 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Kevin Fiala ![]() | LW/RW | 27 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA |
Kevin Hayes ![]() | C | 31 | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | UFA | |||
Matthew Tkachuk ![]() | LW | 25 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ |
Neal Pionk ![]() | D | 28 | 5,875,000$ | 5,875,000$ | 5,875,000$ | 5,875,000$ | UFA | ||||
Nick Ritchie ![]() | LW | 28 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Pierre Engvall ![]() | LW/RW | 27 | 2,250,000$ | 2,250,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ |
Ryan Murray ![]() | D | 30 | 750,000$ | 750,000$ | UFA | ||||||
Ryan Poehling ![]() | C/LW | 24 | 750,000$ | 750,000$ | 1,000,000$ | ![]() | |||||
Sheldon Dries ![]() | C | 29 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Tomas Hertl ![]() | C | 30 | 8,137,500$ | 8,137,500$ | 8,137,500$ | 8,137,500$ | 8,137,500$ | 8,137,500$ | 8,137,500$ | 8,137,500$ | 8,137,500$ |
Zemgus Girgensons ![]() | C/LW | 29 | 2,200,000$ | 2,200,000$ | 2,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anton Stralman ![]() | D | 37 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Axel Andersson ![]() | D | 23 | 871,667$ | 871,667$ | RFA | ||||||
Brad Malone ![]() | C/RW | 34 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Brett Murray ![]() | C/LW | 25 | 762,500$ | 762,500$ | 775,000$ | ![]() | |||||
Danila Klimovich ![]() | RW | 20 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | ||||
Drew O'Connor ![]() | LW | 25 | 750,000$ | 750,000$ | 925,000$ | 925,000$ | UFA | ||||
Elliot Desnoyers ![]() | C/LW | 21 | 854,167$ | 854,167$ | 854,167$ | RFA | |||||
Eric Comrie ![]() | G | 28 | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||||
Jack Ahcan ![]() | D | 26 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Jesper Froden ![]() | RW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Justin Dowling ![]() | C/RW | 33 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Madison Bowey ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Mark Friedman ![]() | D | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Matt Bartkowski ![]() | D | 35 | 750,000$ | 775,000$ | UFA | ||||||
Matt Tennyson ![]() | D | 33 | 750,000$ | 750,000$ | UFA | ||||||
Matthew Highmore ![]() | C/LW/RW | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Michael Carcone ![]() | C/LW | 27 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Michael Hutchinson ![]() | G | 33 | 750,000$ | 750,000$ | UFA | ||||||
Mike Hardman ![]() | LW/RW | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Paul Byron ![]() | C | 34 | 750,000$ | 3,400,000$ | UFA | ||||||
Simon Edvinsson ![]() | D | 20 | 1,744,167$ | 1,744,167$ | 1,744,167$ | 1,744,167$ | RFA | ||||
Tyson Kozak ![]() | C | 20 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Victor Brattstrom ![]() | G | 26 | 750,000$ | 750,000$ | ![]() | ||||||
William Bitten ![]() | C/RW | 25 | 858,333$ | 762,500$ | 762,500$ | ![]() | |||||
Zach Giuttari ![]() | D | 27 | 750,000$ | 775,000$ | UFA |
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 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 33 | 9 | 11 | 13 | 0 | 24 | 5 | 10 | 23 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 25 | 18 | 22 | 7 | 11 | 5 | 100.0% | 9.1% | 95.8% | 104.9 | LUCKY |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 22 | 6 | 6 | 10 | 0 | 24 | 9 | 10 | 20 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 24 | 16 | 22 | 8 | 13 | 6 | 100.0% | 9.1% | 95.8% | 104.9 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 35 | 15 | 10 | 10 | 0 | 25 | 7 | 6 | 18 | 7 | 2 | 28.57% | 3 | 0 | 100.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 25 | 17 | 20 | 7 | 14 | 7 | 0.0% | 5.7% | 84.0% | 89.7 | Unlucky |
4 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 0 | 1 | 25 | 4 | 11 | 9 | 1 | 19 | 8 | 10 | 19 | 5 | 2 | 40.00% | 3 | 2 | 33.33% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 20 | 12 | 27 | 9 | 14 | 7 | 66.7% | 16.0% | 84.2% | 100.2 | FUN |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 7 | 3 | 8 | 0 | 29 | 5 | 16 | 24 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 19 | 13 | 28 | 7 | 12 | 4 | 0.0% | 0.0% | 89.7% | 89.7 | Unlucky |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 23 | 7 | 7 | 9 | 0 | 22 | 8 | 10 | 11 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 23 | 15 | 23 | 7 | 13 | 6 | 75.0% | 13.0% | 95.5% | 108.5 | LUCKY |
7 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 17 | 4 | 8 | 5 | 0 | 19 | 7 | 4 | 24 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 22 | 14 | 24 | 8 | 13 | 7 | 25.0% | 11.8% | 84.2% | 96.0 | FUN |
8 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 18 | 9 | 6 | 3 | 0 | 31 | 9 | 12 | 22 | 4 | 2 | 50.00% | 6 | 2 | 66.67% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 17 | 10 | 27 | 8 | 14 | 6 | 100.0% | 22.2% | 93.5% | 115.8 | LUCKY |
9 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 0.500 | 4 | 8 | 12 | 0 | 1 | 2 | 1 | 1 | 0 | 57 | 19 | 17 | 21 | 0 | 41 | 10 | 19 | 49 | 9 | 2 | 22.22% | 5 | 0 | 100.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 51 | 35 | 42 | 14 | 25 | 13 | 66.7% | 7.0% | 97.6% | 104.6 | DULL |
10 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 78 | 33 | 23 | 22 | 0 | 82 | 13 | 24 | 73 | 14 | 4 | 28.57% | 12 | 3 | 75.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 69 | 46 | 74 | 23 | 36 | 17 | 22.2% | 7.7% | 87.8% | 95.5 | Unlucky |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 36 | 10 | 9 | 17 | 0 | 23 | 6 | 10 | 33 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 24 | 15 | 23 | 7 | 12 | 6 | 100.0% | 11.1% | 95.7% | 106.8 | LUCKY |
12 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 29 | 9 | 10 | 10 | 0 | 17 | 7 | 6 | 18 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 23 | 15 | 23 | 8 | 13 | 6 | 100.0% | 13.8% | 94.1% | 107.9 | LUCKY |
13 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 3 | 0 | 0 | 38 | 18 | 10 | 10 | 0 | 76 | 17 | 50 | 56 | 6 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 40 | 26 | 54 | 15 | 24 | 11 | 44.4% | 10.5% | 89.5% | 100.0 | FUN |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 35 | 11 | 15 | 9 | 0 | 37 | 9 | 16 | 22 | 4 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 26 | 17 | 21 | 7 | 12 | 6 | 50.0% | 2.9% | 94.6% | 97.5 | DULL |
15 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 38 | 12 | 17 | 9 | 0 | 60 | 27 | 22 | 51 | 11 | 1 | 9.09% | 9 | 3 | 66.67% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 40 | 25 | 51 | 16 | 27 | 13 | 28.6% | 7.9% | 86.7% | 94.6 | Unlucky |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 19 | 9 | 5 | 5 | 0 | 34 | 19 | 12 | 13 | 1 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 21 | 14 | 26 | 7 | 12 | 6 | 50.0% | 5.3% | 91.2% | 96.4 | DULL |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 22 | 4 | 7 | 11 | 0 | 46 | 8 | 14 | 33 | 2 | 0 | 0.00% | 7 | 4 | 42.86% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 19 | 11 | 27 | 8 | 13 | 6 | 66.7% | 18.2% | 87.0% | 105.1 | FUN |
18 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 44 | 22 | 11 | 11 | 0 | 60 | 16 | 36 | 64 | 14 | 2 | 14.29% | 17 | 4 | 76.47% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 41 | 27 | 53 | 16 | 24 | 11 | 33.3% | 9.1% | 86.7% | 95.8 | FUN |
_Vs Division | 10 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 23 | 31 | -8 | 8 | 0.400 | 23 | 43 | 66 | 0 | 0 | 8 | 10 | 5 | 0 | 242 | 102 | 75 | 65 | 0 | 303 | 71 | 144 | 255 | 47 | 9 | 19.15% | 64 | 14 | 78.13% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 220 | 144 | 254 | 79 | 125 | 61 | 45.2% | 9.5% | 89.8% | 99.3 | FUN | |
_Vs Conference | 17 | 6 | 11 | 0 | 0 | 0 | 0 | 0 | 38 | 48 | -10 | 12 | 0.353 | 38 | 71 | 109 | 0 | 1 | 13 | 18 | 7 | 0 | 411 | 155 | 124 | 132 | 0 | 495 | 126 | 219 | 431 | 73 | 12 | 16.44% | 95 | 23 | 75.79% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 378 | 248 | 425 | 133 | 215 | 105 | 51.0% | 9.2% | 90.3% | 99.5 | FUN | |
_Since Last GM Reset | 24 | 9 | 14 | 0 | 1 | 0 | 0 | 0 | 55 | 66 | -11 | 20 | 0.417 | 55 | 103 | 158 | 0 | 1 | 19 | 25 | 10 | 1 | 587 | 208 | 186 | 192 | 1 | 669 | 190 | 287 | 573 | 105 | 17 | 16.19% | 125 | 30 | 76.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 537 | 354 | 593 | 189 | 311 | 153 | 51.4% | 9.4% | 90.1% | 99.5 | FUN | |
Total | 24 | 9 | 14 | 0 | 1 | 0 | 0 | 0 | 55 | 66 | -11 | 20 | 0.417 | 55 | 103 | 158 | 0 | 1 | 19 | 25 | 10 | 1 | 587 | 208 | 186 | 192 | 1 | 669 | 190 | 287 | 573 | 105 | 17 | 16.19% | 125 | 30 | 76.00% | 0 | 368 | 768 | 47.92% | 404 | 803 | 50.31% | 185 | 358 | 51.68% | 537 | 354 | 593 | 189 | 311 | 153 | 51.4% | 9.4% | 90.1% | 99.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 768 |
Neutral Zone Start | 358 |
Defensive Zone Start | 803 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 957 |
Faceoffs Lost | 972 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.7 | 9.57 |
2nd Period | 16.4 | 20.31 |
3rd Period | 24.4 | 30.68 |
Overtime | 24.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 38 |
---|---|
PP Goal | 17 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 6 | 4 |
Lost | 8 | 6 |
Overtime Lost | 0 | 0 |
PP Attempt | 105 |
---|---|
PP Goal | 17 |
PK Attempt | 125 |
PK Goal Against | 30 |
Home | |
---|---|
Shots For | 24.5 |
Shots Against | 27.9 |
Goals For | 2.3 |
Goals Against | 2.8 |
Hits | 23.9 |
Shots Blocked | 7.9 |
Pim | 12.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wed, Oct 18 | ![]() | @ | ![]() | KRA2,ANA5 | RECAP | |||||||||
Thu, Oct 19 | ![]() | @ | ![]() | KRA1,LAK4 | RECAP | |||||||||
Sat, Oct 21 | ![]() | @ | ![]() | VGK7,KRA1 | RECAP | |||||||||
Mon, Oct 23 | ![]() | @ | ![]() | CAR3,KRA4 (OT) | RECAP | |||||||||
Wed, Oct 25 | ![]() | @ | ![]() | STL1,KRA4 | RECAP | |||||||||
Fri, Oct 27 | ![]() | @ | ![]() | KRA0,COL3 | RECAP | |||||||||
Sun, Oct 29 | ![]() | @ | ![]() | KRA2,CHI3 | RECAP | |||||||||
Tue, Oct 31 | ![]() | @ | ![]() | BUF1,KRA2 | RECAP | |||||||||
Thu, Nov 2 | ![]() | @ | ![]() | VAN2,KRA1 | RECAP | |||||||||
Sat, Nov 4 | ![]() | @ | ![]() | PIT5,KRA1 | RECAP | |||||||||
Tue, Nov 7 | ![]() | @ | ![]() | KRA4,CAL1 | RECAP | |||||||||
Thu, Nov 9 | ![]() | @ | ![]() | KRA4,MIN0 | RECAP | |||||||||
Sat, Nov 11 | ![]() | @ | ![]() | KRA2,PIT3 | RECAP | |||||||||
Tue, Nov 14 | ![]() | @ | ![]() | NAS3,KRA1 | RECAP | |||||||||
Fri, Nov 17 | ![]() | @ | ![]() | MIN1,KRA0 | RECAP | |||||||||
Sun, Nov 19 | ![]() | @ | ![]() | WIN6,KRA4 | RECAP | |||||||||
Thu, Nov 23 | ![]() | @ | ![]() | NYR1,KRA3 | RECAP | |||||||||
Sat, Nov 25 | ![]() | @ | ![]() | LAK5,KRA2 | RECAP | |||||||||
Wed, Nov 29 | ![]() | @ | ![]() | SAN2,KRA4 | RECAP | |||||||||
Fri, Dec 1 | ![]() | @ | ![]() | KRA3,VGK1 | RECAP | |||||||||
Sun, Dec 3 | ![]() | @ | ![]() | KRA2,ANA3 | RECAP | |||||||||
Tue, Dec 5 | ![]() | @ | ![]() | KRA3,LAK1 | RECAP | |||||||||
Thu, Dec 7 | ![]() | @ | ![]() | WAS4,KRA2 | RECAP | |||||||||
Sat, Dec 9 | ![]() | @ | ![]() | FLO1,KRA3 | RECAP | |||||||||
Tue, Dec 12 | ![]() | @ | ![]() | |||||||||||
Fri, Dec 15 | ![]() | @ | ![]() | |||||||||||
Sun, Dec 17 | ![]() | @ | ![]() | |||||||||||
Tue, Dec 19 | ![]() | @ | ![]() | |||||||||||
Thu, Dec 21 | ![]() | @ | ![]() | |||||||||||
Sun, Dec 24 | ![]() | @ | ![]() | |||||||||||
Tue, Dec 26 | ![]() | @ | ![]() | |||||||||||
Thu, Dec 28 | ![]() | @ | ![]() | |||||||||||
Wed, Jan 3 | ![]() | @ | ![]() | |||||||||||
Fri, Jan 5 | ![]() | @ | ![]() | |||||||||||
Sun, Jan 7 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 9 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 11 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 13 | ![]() | @ | ![]() | |||||||||||
Mon, Jan 15 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 16 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 18 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 20 | ![]() | @ | ![]() | |||||||||||
Mon, Jan 22 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 23 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 25 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 27 | ![]() | @ | ![]() | |||||||||||
Wed, Jan 31 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 2 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 3 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 13 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 15 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 16 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 18 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 20 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 22 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 24 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 26 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 29 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Sun, Mar 3 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 5 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 7 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 8 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 10 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 12 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 14 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 16 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 18 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 21 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 23 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 26 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 28 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 30 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 1 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 4 | ![]() | @ | ![]() | |||||||||||
Sat, Apr 6 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 8 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 9 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 11 | ![]() | @ | ![]() | |||||||||||
Sat, Apr 13 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 15 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 16 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 18 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,230,357$ | 0$ | 78,230,357$ | 4,269,643$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Key Arena | |
City | Seattle | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 51626 | 40856 | 39640 | 43290 | 10620 |
Attendance PCT | 73.75% | 72.96% | 94.38% | 77.30% | 75.86% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
27 | 13288 - 78.16% | 1,299,238$ | 18,189,338$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,230,357$ | 78,230,357$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
25,325,349$ | 78,230,357$ | 25,325,349$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
35,079,438$ | 130 | 413,917$ | 53,809,210$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
55,482,440$ | 78,230,357$ | -2,562,422$ | -19,777,264$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | ![]() | ![]() | |||||
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Anton Olsson | ![]() | 2022 | 99 | Link | |
Braden Hache | ![]() | 2022 | 221 | Link | |
Brian Zanetti | ![]() | 2022 | 163 | Link | |
Cal Thomas | ![]() | 2022 | 195 | Link | |
Dylan Duke | ![]() | 2022 | 93 | Link | |
Evan Nause | ![]() | 2022 | 77 | ||
Fraser Minten | ![]() | 2023 | 63 | Link | |
Kaleb Lawrence | ![]() | 2023 | 209 | Link | |
Kirill Kudryavtsev | ![]() | 2023 | 162 | Link | |
Landon Sim | ![]() | 2023 | 159 | Link | |
Nikolai Makarov | ![]() | 2022 | 169 | Link | |
Nolan Allan | ![]() | 2022 | 53 | Link | |
Sergey Murashov | ![]() | 2023 | 106 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | ![]() | ![]() | |||||
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Anton Olsson | ![]() | 2022 | 99 | Link | |
Braden Hache | ![]() | 2022 | 221 | Link | |
Brian Zanetti | ![]() | 2022 | 163 | Link | |
Cal Thomas | ![]() | 2022 | 195 | Link | |
Dylan Duke | ![]() | 2022 | 93 | Link | |
Evan Nause | ![]() | 2022 | 77 | ||
Fraser Minten | ![]() | 2023 | 63 | Link | |
Kaleb Lawrence | ![]() | 2023 | 209 | Link | |
Kirill Kudryavtsev | ![]() | 2023 | 162 | Link | |
Landon Sim | ![]() | 2023 | 159 | Link | |
Nikolai Makarov | ![]() | 2022 | 169 | Link | |
Nolan Allan | ![]() | 2022 | 53 | Link | |
Sergey Murashov | ![]() | 2023 | 106 | Link |
|