































Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 100.00 | 76 | 40 | 82 | 75 | 85 | 79 | 93 | 76 | 91 | 74 | 77 | 69 | 57 | 89 | 95 | 0 | 77 | 34 | 11,000,000$/2yrs | |||||
![]() | RW | 100.00 | 71 | 40 | 83 | 84 | 82 | 83 | 74 | 77 | 52 | 79 | 76 | 72 | 60 | 74 | 79 | 0 | 77 | 33 | 9,500,000$/6yrs | |||||
![]() | C/RW | 100.00 | 71 | 40 | 81 | 73 | 82 | 75 | 87 | 72 | 83 | 72 | 77 | 66 | 63 | 84 | 73 | 0 | 74 | 33 | 9,850,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 71 | 47 | 73 | 78 | 75 | 80 | 89 | 70 | 56 | 70 | 74 | 71 | 68 | 81 | 68 | 0 | 73 | 35 | 6,250,000$/4yrs | |||||
![]() | RW | 100.00 | 71 | 40 | 90 | 72 | 90 | 74 | 88 | 72 | 53 | 73 | 74 | 63 | 62 | 77 | 71 | 0 | 73 | 33 | 5,000,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 68 | 40 | 90 | 76 | 75 | 75 | 90 | 70 | 58 | 69 | 76 | 70 | 89 | 62 | 58 | 0 | 72 | 26 | 3,100,000$/7yrs | |||||
![]() | C/LW | 100.00 | 69 | 47 | 84 | 73 | 79 | 76 | 91 | 65 | 81 | 69 | 66 | 75 | 54 | 74 | 66 | 0 | 71 | 30 | 5,625,000$/4yrs | |||||
![]() | RW | 100.00 | 69 | 42 | 90 | 78 | 80 | 71 | 71 | 67 | 53 | 67 | 72 | 70 | 60 | 59 | 58 | 0 | 71 | 24 | 800,000$/3yrs | |||||
![]() | C | 100.00 | 79 | 48 | 88 | 81 | 71 | 70 | 84 | 63 | 94 | 66 | 67 | 75 | 54 | 63 | 58 | 0 | 71 | 27 | 1,400,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 71 | 40 | 80 | 76 | 68 | 74 | 90 | 67 | 69 | 70 | 67 | 71 | 60 | 68 | 59 | 0 | 70 | 31 | 3,000,000$/4yrs | |||||
![]() | LW | 100.00 | 72 | 66 | 90 | 71 | 76 | 66 | 91 | 62 | 55 | 65 | 67 | 76 | 58 | 72 | 59 | 0 | 69 | 31 | 800,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 77 | 58 | 84 | 67 | 83 | 65 | 90 | 61 | 59 | 65 | 64 | 73 | 54 | 68 | 59 | 0 | 68 | 28 | 1,125,000$/2yrs | |||||
![]() | D | 100.00 | 67 | 40 | 83 | 88 | 83 | 97 | 84 | 69 | 40 | 74 | 64 | 81 | 66 | 85 | 70 | 0 | 77 | 35 | 8,000,000$/3yrs | |||||
![]() | D | 100.00 | 78 | 57 | 80 | 74 | 78 | 88 | 93 | 63 | 40 | 69 | 63 | 85 | 68 | 62 | 59 | 0 | 74 | 25 | 3,872,000$/2yrs | |||||
![]() | D | 100.00 | 64 | 40 | 88 | 78 | 82 | 89 | 90 | 61 | 40 | 69 | 58 | 83 | 58 | 85 | 61 | 0 | 73 | 34 | 4,000,000$/3yrs | |||||
![]() | D | 100.00 | 67 | 40 | 80 | 73 | 74 | 92 | 90 | 68 | 40 | 74 | 61 | 80 | 54 | 65 | 59 | 0 | 73 | 27 | 4,400,000$/9yrs | |||||
![]() | D | 100.00 | 69 | 66 | 73 | 67 | 91 | 81 | 92 | 57 | 40 | 63 | 58 | 94 | 54 | 80 | 60 | 0 | 72 | 36 | 3,000,000$/1yrs | |||||
![]() | D | 100.00 | 77 | 69 | 79 | 73 | 76 | 77 | 92 | 59 | 40 | 65 | 60 | 82 | 54 | 63 | 59 | 0 | 70 | 30 | 3,333,333$/3yrs | |||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 72 | 48 | 83 | 75 | 79 | 78 | 88 | 67 | 58 | 70 | 68 | 75 | 61 | 73 | 65 | 0 | 73 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 30 | 100.00 | 77 | 84 | 84 | 80 | 84 | 78 | 86 | 77 | 90 | 70 | 89 | 58 | 56 | 0 | 80 | 28 | 1,950,000$/3yrs | |
![]() | 1 | 100.00 | 80 | 82 | 83 | 84 | 83 | 75 | 81 | 66 | 83 | 82 | 82 | 63 | 60 | 0 | 78 | 28 | 3,550,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 79 | 83 | 84 | 82 | 84 | 77 | 84 | 72 | 87 | 76 | 86 | 61 | 58 | 0 | 79 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Scott Arniel | 79 | 88 | 80 | 84 | 83 | 78 | 1 | CAN | 61 | 2 | 1,000,000$ |
General Manager | Samuel Laberge |
---|
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 | John Carlson | ![]() | 75 | D | 4 | 1 | 4 | 5 | -6 | 0 | 0 | 8 | 16 | 5 | 6 | 6.25% | 11 | 31.70 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 1.25 | 0 | 0 | 0.84 | ||
2 | John Tavares | ![]() | 64 | C | 4 | 2 | 2 | 4 | -2 | 0 | 0 | 11 | 13 | 4 | 10 | 15.38% | 0 | 22.69 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 59.48% | 0 | 0 | 1.00 | 0 | 0 | 0.91 | ||
3 | Filip Hronek | ![]() | 18 | D | 4 | 0 | 4 | 4 | -7 | 4 | 0 | 13 | 10 | 1 | 10 | 0.00% | 12 | 28.63 | 0 | 3 | 3 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 0.33 | ||
4 | Mark Stone | ![]() | 0 | RW | 4 | 2 | 2 | 4 | -2 | 2 | 0 | 5 | 20 | 5 | 14 | 10.00% | 3 | 24.83 | 1 | 1 | 2 | 0 | 0 | 0 | 7 | 0 | 0 | 42.86% | 0 | 0 | 1.00 | 0 | 0 | 0.94 | ||
5 | Yegor Sharangovich | ![]() | 15 | C/LW/RW | 4 | 0 | 2 | 2 | -2 | 0 | 0 | 1 | 9 | 2 | 12 | 0.00% | 2 | 23.16 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 36.36% | 0 | 0 | 0.50 | 0 | 0 | 0.41 | ||
6 | Tyler Seguin | ![]() | 0 | C/RW | 4 | 2 | 0 | 2 | -3 | 2 | 0 | 4 | 8 | 4 | 10 | 25.00% | 1 | 22.10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 52.89% | 0 | 0 | 0.50 | 0 | 0 | 0.23 | ||
7 | Alex Killorn | ![]() | 89 | LW/RW | 4 | 1 | 1 | 2 | -3 | 7 | 5 | 5 | 23 | 4 | 5 | 4.35% | 2 | 21.77 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 0 | 0 | 0.50 | 0 | 0 | 0.28 | ||
8 | Ian Cole | ![]() | 2 | D | 4 | 1 | 1 | 2 | 1 | 6 | 0 | 5 | 4 | 1 | 3 | 25.00% | 3 | 19.08 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.33 | ||
9 | Vladimir Tarasenko | ![]() | 0 | RW | 4 | 1 | 1 | 2 | -3 | 0 | 0 | 3 | 14 | 4 | 7 | 7.14% | 0 | 22.79 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 27.27% | 0 | 0 | 0.50 | 0 | 0 | 0.41 | ||
10 | Jimmy Vesey | ![]() | 0 | LW | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 6 | 1 | 1 | 0.00% | 0 | 7.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.28 | ||
11 | Yegor Chinakhov | ![]() | 0 | RW | 4 | 0 | 1 | 1 | -4 | 0 | 0 | 2 | 7 | 6 | 10 | 0.00% | 1 | 19.45 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.25 | 0 | 0 | 0.02 | ||
12 | Nick Leddy | ![]() | 74 | D | 4 | 0 | 1 | 1 | -4 | 0 | 0 | 3 | 2 | 1 | 0 | 0.00% | 7 | 18.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | -0.08 | ||
13 | K'Andre Miller | ![]() | 0 | D | 4 | 0 | 1 | 1 | -3 | 2 | 0 | 7 | 3 | 0 | 1 | 0.00% | 3 | 21.96 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | -0.04 | ||
14 | Christian Fischer | ![]() | 95 | LW/RW | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 2 | 1 | 50.00% | 3 | 12.23 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 50.00% | 0 | 0 | 0.25 | 0 | 0 | 0.29 | ||
15 | Evan Rodrigues | ![]() | 58 | C/LW/RW | 4 | 1 | 0 | 1 | -4 | 2 | 0 | 5 | 11 | 6 | 8 | 9.09% | 3 | 17.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 0 | 0 | 0.25 | 0 | 0 | 0.08 | ||
16 | Andrew Copp | ![]() | 37 | C/LW | 4 | 0 | 0 | 0 | -4 | 2 | 0 | 1 | 8 | 4 | 8 | 0.00% | 2 | 18.56 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 48.00% | 0 | 0 | 0.00 | 0 | 0 | -0.23 | ||
17 | Michael McLeod | ![]() | 16 | C | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 5 | 1 | 4 | 0.00% | 0 | 9.65 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 60.00% | 0 | 0 | 0.00 | 0 | 0 | 0.06 | ||
18 | Connor Clifton | ![]() | 47 | D | 4 | 0 | 0 | 0 | 1 | 8 | 0 | 5 | 5 | 1 | 3 | 0.00% | 4 | 18.51 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.09 | ||
Team Total or Average | 72 | 12 | 21 | 33 | -45 | 37 | 5 | 85 | 166 | 52 | 113 | 7.23% | 57 | 20.07 | 5 | 8 | 13 | 179 | 0 | 0 | 0 | 106 | 0 | 0 | 52.04% | 465 | 0 | 0 | 0 | 0 | 0.46 | 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 | Connor Ingram | ![]() | 4 | 0 | 2 | 2 | 0.890 | 4.42 | 258 | 0 | 0 | 19 | 173 | 0 | 1 | 0 | 0.000 | 0 | 4 | 0 | 0 | 1 | 0 |
2 | Ilya Samsonov | ![]() | 1 | 0 | 0 | 0 | 0.950 | 1.67 | 36 | 0 | 0 | 1 | 20 | 0 | 0 | 0 | 0.000 | 0 | 0 | 4 | 0 | 0 | 0 |
Team Total or Average | 5 | 0 | 2 | 2 | 0.896 | 4.08 | 294 | 0 | 0 | 20 | 193 | 0 | 1 | 0 | 0.000 | 0 | 4 | 4 | 0 | 1 | 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 |
# | 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 | ![]() | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 20 | -8 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 4 | 2 | 0 | 166 | 37 | 49 | 39 | 41 | 193 | 57 | 37 | 85 | 22 | 5 | 22.73% | 16 | 4 | 75.00% | 0 | 95 | 187 | 50.80% | 102 | 194 | 52.58% | 45 | 84 | 53.57% | 110 | 75 | 121 | 36 | 63 | 31 | 30.4% | 7.2% | 89.6% | 96.9 | Unlucky |
_Vs Conference | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 20 | -8 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 4 | 2 | 0 | 166 | 37 | 49 | 39 | 41 | 193 | 57 | 37 | 85 | 22 | 5 | 22.73% | 16 | 4 | 75.00% | 0 | 95 | 187 | 50.80% | 102 | 194 | 52.58% | 45 | 84 | 53.57% | 110 | 75 | 121 | 36 | 63 | 31 | 30.4% | 7.2% | 89.6% | 96.9 | Unlucky | |
_Since Last GM Reset | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 20 | -8 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 4 | 2 | 0 | 166 | 37 | 49 | 39 | 41 | 193 | 57 | 37 | 85 | 22 | 5 | 22.73% | 16 | 4 | 75.00% | 0 | 95 | 187 | 50.80% | 102 | 194 | 52.58% | 45 | 84 | 53.57% | 110 | 75 | 121 | 36 | 63 | 31 | 30.4% | 7.2% | 89.6% | 96.9 | Unlucky | |
Total | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 20 | -8 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 4 | 2 | 0 | 166 | 37 | 49 | 39 | 41 | 193 | 57 | 37 | 85 | 22 | 5 | 22.73% | 16 | 4 | 75.00% | 0 | 95 | 187 | 50.80% | 102 | 194 | 52.58% | 45 | 84 | 53.57% | 110 | 75 | 121 | 36 | 63 | 31 | 30.4% | 7.2% | 89.6% | 96.9 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 27 |
Neutral Zone | 15 |
Defensive Zone | 30 |
Puck Time | |
---|---|
Offensive Zone Start | 187 |
Neutral Zone Start | 84 |
Defensive Zone Start | 194 |
Puck Time | |
---|---|
With Puck | 35 |
Without Puck | 38 |
Faceoffs | |
---|---|
Faceoffs Won | 242 |
Faceoffs Lost | 223 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 21.5 | 20.31 |
3rd Period | 31.3 | 30.68 |
Overtime | 41.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 7 |
---|---|
PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 22 |
---|---|
PP Goal | 5 |
PK Attempt | 16 |
PK Goal Against | 4 |
Home | |
---|---|
Shots For | 41.5 |
Shots Against | 48.3 |
Goals For | 3.0 |
Goals Against | 5.0 |
Hits | 21.3 |
Shots Blocked | 14.3 |
Pim | 9.3 |
![]() | |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 89,700,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 20 |
Contracts | 53/50 |
LTIR Players | 0 |
Kraken Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Killorn ![]() | LW/RW | 35 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |||
Andrew Copp ![]() | C/LW | 30 | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | UFA | |||
Christian Fischer ![]() | LW/RW | 28 | 1,125,000$ | 1,125,000$ | 1,125,000$ | ![]() | |||||
Connor Clifton ![]() | D | 30 | 3,333,333$ | 3,333,333$ | 3,333,333$ | 3,333,333$ | UFA | ||||
Connor Ingram ![]() | G | 28 | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | UFA | ||||
Evan Rodrigues ![]() | C/LW/RW | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Filip Hronek ![]() | D | 27 | 4,400,000$ | 4,400,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ |
Ian Cole ![]() | D | 36 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Ilya Samsonov ![]() | G | 28 | 3,550,000$ | 3,550,000$ | 1,800,000$ | ![]() | |||||
Jimmy Vesey ![]() | LW | 31 | 800,000$ | 800,000$ | UFA | ||||||
John Carlson ![]() | D | 35 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
John Tavares ![]() | C | 34 | 11,000,000$ | 11,000,000$ | 11,000,000$ | UFA | |||||
K'Andre Miller ![]() | D | 25 | 3,872,000$ | 3,872,000$ | 3,872,000$ | RFA | |||||
Mark Stone ![]() | RW | 33 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |
Michael McLeod ![]() | C | 27 | 1,400,000$ | 1,400,000$ | ![]() | ||||||
Nick Leddy ![]() | D | 34 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Tyler Seguin ![]() | C/RW | 33 | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | UFA | |||
Vladimir Tarasenko ![]() | RW | 33 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Yegor Chinakhov ![]() | RW | 24 | 800,000$ | 800,000$ | 2,100,000$ | 2,100,000$ | RFA | ||||
Yegor Sharangovich ![]() | C/LW/RW | 26 | 3,100,000$ | 3,100,000$ | 3,100,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ruzicka ![]() | C | 26 | 775,000$ | 775,000$ | RFA | ||||||
Alex Green ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Ben Hutton ![]() | D | 32 | 850,000$ | 850,000$ | UFA | ||||||
Cameron Hillis ![]() | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Carsen Twarynski ![]() | C/LW | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Carson Focht ![]() | C | 25 | 775,000$ | 775,000$ | RFA | ||||||
Curtis McKenzie ![]() ![]() | C/LW/RW | 34 | 775,000$ | 775,000$ | UFA | ||||||
Denis Gurianov ![]() | LW/RW | 27 | 850,000$ | 850,000$ | ![]() | ||||||
Dennis Cholowski ![]() | D | 27 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Emil Lilleberg ![]() | D | 24 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Eric Comrie ![]() ![]() | G | 29 | 1,800,000$ | 1,800,000$ | 825,000$ | UFA | |||||
Graham McPhee ![]() | C/LW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Gustav Lindstrom ![]() | D | 26 | 950,000$ | 950,000$ | RFA | ||||||
Gustav Olofsson ![]() ![]() | D | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
James Hamblin ![]() | C/LW | 26 | 807,500$ | 807,500$ | 775,000$ | 775,000$ | ![]() | ||||
Jarred Tinordi ![]() | D | 33 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Jiri Patera ![]() | G | 26 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Jonas Rondbjerg ![]() | LW/RW | 26 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | ![]() | ||||
Keaton Thompson ![]() | D | 29 | 775,000$ | 775,000$ | ![]() | ||||||
Kieffer Bellows ![]() | LW | 26 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Mattias Norlinder ![]() | D | 25 | 775,000$ | 775,000$ | RFA | ||||||
Maxim Golod ![]() | C/LW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Michael Callahan ![]() | D | 25 | 883,750$ | 883,750$ | 775,000$ | RFA | |||||
Michael Sgarbossa ![]() | C | 32 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Mitchell Stephens ![]() | C | 28 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Nikita Pavlychev ![]() | C | 28 | 775,000$ | 775,000$ | ![]() | ||||||
Oskar Pettersson ![]() | RW | 21 | 865,000$ | 865,000$ | 835,000$ | 835,000$ | 835,000$ | RFA | |||
Patrick Brown ![]() | C/RW | 32 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Philip Kemp ![]() | D | 26 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Rudolfs Balcers ![]() | LW | 28 | 775,000$ | 775,000$ | ![]() | ||||||
Sean Malone ![]() | C | 30 | 775,000$ | 775,000$ | UFA | ||||||
Tyrel Bauer ![]() | D | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Vinni Lettieri ![]() | C/RW | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
William Lockwood ![]() | RW | 26 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
William Trudeau ![]() | D | 22 | 856,667$ | 856,667$ | 856,667$ | RFA | |||||
Zach Senyshyn ![]() | RW | 28 | 775,000$ | 775,000$ | ![]() |
Forward Lines | |||||||
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Priority | Type | Description |
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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 |
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1 | ![]() | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 20 | -8 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 4 | 2 | 0 | 166 | 37 | 49 | 39 | 41 | 193 | 57 | 37 | 85 | 22 | 5 | 22.73% | 16 | 4 | 75.00% | 0 | 95 | 187 | 50.80% | 102 | 194 | 52.58% | 45 | 84 | 53.57% | 110 | 75 | 121 | 36 | 63 | 31 | 30.4% | 7.2% | 89.6% | 96.9 | Unlucky |
_Vs Conference | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 20 | -8 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 4 | 2 | 0 | 166 | 37 | 49 | 39 | 41 | 193 | 57 | 37 | 85 | 22 | 5 | 22.73% | 16 | 4 | 75.00% | 0 | 95 | 187 | 50.80% | 102 | 194 | 52.58% | 45 | 84 | 53.57% | 110 | 75 | 121 | 36 | 63 | 31 | 30.4% | 7.2% | 89.6% | 96.9 | Unlucky | |
_Since Last GM Reset | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 20 | -8 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 4 | 2 | 0 | 166 | 37 | 49 | 39 | 41 | 193 | 57 | 37 | 85 | 22 | 5 | 22.73% | 16 | 4 | 75.00% | 0 | 95 | 187 | 50.80% | 102 | 194 | 52.58% | 45 | 84 | 53.57% | 110 | 75 | 121 | 36 | 63 | 31 | 30.4% | 7.2% | 89.6% | 96.9 | Unlucky | |
Total | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 20 | -8 | 0 | 0.000 | 12 | 21 | 33 | 0 | 0 | 6 | 4 | 2 | 0 | 166 | 37 | 49 | 39 | 41 | 193 | 57 | 37 | 85 | 22 | 5 | 22.73% | 16 | 4 | 75.00% | 0 | 95 | 187 | 50.80% | 102 | 194 | 52.58% | 45 | 84 | 53.57% | 110 | 75 | 121 | 36 | 63 | 31 | 30.4% | 7.2% | 89.6% | 96.9 | Unlucky |
Puck Time | |
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Offensive Zone | 27 |
Neutral Zone | 15 |
Defensive Zone | 30 |
Puck Time | |
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Offensive Zone Start | 187 |
Neutral Zone Start | 84 |
Defensive Zone Start | 194 |
Puck Time | |
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With Puck | 35 |
Without Puck | 38 |
Faceoffs | |
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Faceoffs Won | 242 |
Faceoffs Lost | 223 |
Team Average Shots after | League Average Shots after | |
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1st Period | 9.3 | 9.57 |
2nd Period | 21.5 | 20.31 |
3rd Period | 31.3 | 30.68 |
Overtime | 41.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 7 |
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PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 22 |
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PP Goal | 5 |
PK Attempt | 16 |
PK Goal Against | 4 |
Home | |
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Shots For | 41.5 |
Shots Against | 48.3 |
Goals For | 3.0 |
Goals Against | 5.0 |
Hits | 21.3 |
Shots Blocked | 14.3 |
Pim | 9.3 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Sun, Apr 6 | ![]() | @ | ![]() | SEA4,MIN5 (OT) | RECAP |
Tue, Apr 8 | ![]() | @ | ![]() | SEA1,MIN5 | RECAP |
Thu, Apr 10 | ![]() | @ | ![]() | MIN5,SEA3 | RECAP |
Sat, Apr 12 | ![]() | @ | ![]() | MIN5,SEA4 (OT) | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
89,555,333$ | 0$ | 0$ | 89,700,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Key Arena | |
City | Seattle | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 12000 | 10000 | 4000 | 7820 | 2000 |
Attendance PCT | 100.00% | 100.00% | 100.00% | 97.75% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 17910 - 99.50% | 1,888,948$ | 3,777,895$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
89,555,333$ | 89,555,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 4,551,877$ | 4,551,877$ |
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 |
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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 |
---|---|---|---|---|---|
Benjamin Baumgartner | ![]() | 2020 | 161 | Link | |
Benjamin Brinkman | ![]() | 2019 | 173 | Link | |
Danil Savunov | ![]() | 2019 | 174 | Link | |
Elias Salomonsson | ![]() | 2022 | 55 | Link | |
Filip Berglund | ![]() | 2020 | 173 | Link | |
Jack Hughes2 | ![]() | 2022 | 51 | Link | |
Jared Wright | ![]() | 2022 | 169 | Link | |
Mason Beaupit | ![]() | 2022 | 108 | Link | |
Michael Callow | ![]() | 2022 | 154 | Link | |
Mikhail Ilyin | ![]() | 2023 | 142 | Link | |
Miko Matikka | ![]() | 2022 | 67 | Link | |
Samuel Savoie | ![]() | 2022 | 81 | Link | |
Theo Jacobsson | ![]() | 2021 | 177 | Link | |
William von Barnekow | ![]() | 2021 | 161 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 |
---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Benjamin Baumgartner | ![]() | 2020 | 161 | Link | |
Benjamin Brinkman | ![]() | 2019 | 173 | Link | |
Danil Savunov | ![]() | 2019 | 174 | Link | |
Elias Salomonsson | ![]() | 2022 | 55 | Link | |
Filip Berglund | ![]() | 2020 | 173 | Link | |
Jack Hughes2 | ![]() | 2022 | 51 | Link | |
Jared Wright | ![]() | 2022 | 169 | Link | |
Mason Beaupit | ![]() | 2022 | 108 | Link | |
Michael Callow | ![]() | 2022 | 154 | Link | |
Mikhail Ilyin | ![]() | 2023 | 142 | Link | |
Miko Matikka | ![]() | 2022 | 67 | Link | |
Samuel Savoie | ![]() | 2022 | 81 | Link | |
Theo Jacobsson | ![]() | 2021 | 177 | Link | |
William von Barnekow | ![]() | 2021 | 161 | Link |
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