| Seattle Kraken 22-26-8, 52pts · 12th in Western |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Chris Kreider | 0 | LW/RW | 100.00 | 69 | 34 | 86 | 67 | 91 | 83 | 87 | 66 | 59 | 62 | 77 | 66 | 71 | 84 | 82 | 0 | 37 | 79 | 34 | 6,750,000$/2yrs | |||
Andre Burakovsky | 0 | LW/RW | 100.00 | 59 | 33 | 93 | 65 | 84 | 80 | 89 | 65 | 58 | 71 | 66 | 55 | 66 | 77 | 76 | 0 | 33 | 77 | 30 | 5,750,000$/3yrs | |||
Ryan Hartman | 0 | C/RW | 100.00 | 69 | 42 | 73 | 63 | 76 | 80 | 87 | 62 | 79 | 63 | 67 | 63 | 64 | 78 | 75 | 0 | 36 | 75 | 31 | 4,000,000$/2yrs | |||
Connor Zary | 0 | C | 100.00 | 62 | 32 | 90 | 66 | 70 | 80 | 84 | 63 | 72 | 64 | 68 | 54 | 65 | 65 | 64 | 0 | 39 | 74 | 24 | 3,500,000$/3yrs | |||
Sam Colangelo (R) | 0 | RW | 100.00 | 79 | 33 | 94 | 64 | 81 | 75 | 73 | 59 | 58 | 55 | 73 | 56 | 66 | 65 | 64 | 0 | 40 | 74 | 24 | 3,000,000$/3yrs | |||
Mason Appleton | 0 | C/RW | 100.00 | 69 | 33 | 84 | 59 | 80 | 79 | 86 | 60 | 59 | 62 | 64 | 62 | 62 | 75 | 73 | 0 | 31 | 73 | 30 | 2,250,000$/1yrs | |||
Philip Tomasino | 0 | C/LW/RW | 100.00 | 69 | 32 | 95 | 63 | 70 | 76 | 80 | 61 | 59 | 63 | 65 | 56 | 63 | 65 | 65 | 0 | 40 | 73 | 24 | 1,850,000$/1yrs | |||
Miles Wood | 0 | LW/RW | 100.00 | 71 | 40 | 68 | 60 | 78 | 75 | 79 | 58 | 57 | 59 | 66 | 60 | 62 | 76 | 72 | 0 | 29 | 72 | 30 | 2,500,000$/4yrs | |||
Zachary L'Heureux | 0 | LW | 100.00 | 91 | 53 | 71 | 60 | 75 | 75 | 78 | 57 | 55 | 61 | 59 | 63 | 58 | 62 | 59 | 0 | 25 | 71 | 22 | 863,334$/1yrs | |||
Nicolas Deslauriers | 0 | LW/RW | 100.00 | 89 | 71 | 72 | 55 | 85 | 68 | 75 | 51 | 60 | 53 | 56 | 57 | 53 | 83 | 80 | 0 | 20 | 68 | 34 | 1,750,000$/1yrs | |||
Brennan Othmann (R) | 0 | LW | 100.00 | 77 | 41 | 88 | 55 | 73 | 71 | 71 | 52 | 30 | 56 | 50 | 56 | 51 | 62 | 61 | 0 | 17 | 66 | 23 | 863,333$/1yrs | |||
Mattias Ekholm | 0 | D | 98.00 | 65 | 34 | 85 | 65 | 87 | 91 | 87 | 62 | 30 | 71 | 63 | 74 | 63 | 85 | 84 | 0 | 23 | 81 | 35 | 7,000,000$/5yrs | |||
Tony DeAngelo | 0 | D | 100.00 | 60 | 35 | 82 | 66 | 70 | 89 | 81 | 56 | 30 | 71 | 59 | 57 | 58 | 75 | 74 | 0 | 48 | 77 | 30 | 3,250,000$/2yrs | |||
Nick Blankenburg | 0 | D | 100.00 | 66 | 32 | 87 | 61 | 66 | 87 | 84 | 60 | 30 | 67 | 61 | 69 | 60 | 71 | 70 | 0 | 57 | 76 | 27 | 800,000$/1yrs | |||
Derek Forbort | 0 | D | 100.00 | 70 | 47 | 71 | 55 | 85 | 83 | 77 | 55 | 30 | 61 | 55 | 71 | 55 | 82 | 79 | 0 | 33 | 73 | 33 | 2,750,000$/2yrs | |||
Simon Benoit | 0 | D | 100.00 | 85 | 42 | 75 | 55 | 82 | 83 | 89 | 54 | 30 | 58 | 52 | 73 | 53 | 70 | 68 | 0 | 37 | 72 | 27 | 1,200,000$/1yrs | |||
Maveric Lamoureux (R) | 0 | D | 100.00 | 73 | 58 | 50 | 58 | 83 | 81 | 69 | 51 | 30 | 61 | 57 | 61 | 54 | 61 | 56 | 0 | 17 | 70 | 22 | 876,667$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Tyler Toffoli | 0 | LW/RW | 96.00 | 64 | 33 | 94 | 73 | 78 | 82 | 90 | 70 | 60 | 70 | 77 | 57 | 74 | 82 | 81 | 0 | 33 | 82 | 33 | 5,000,000$/3yrs | |||
Jonathan Toews | 0 | C | 96.60 | 56 | 33 | 83 | 55 | 80 | 80 | 73 | 57 | 89 | 63 | 59 | 57 | 58 | 88 | 87 | 0 | 30 | 71 | 37 | 3,750,000$/1yrs | |||
Tanner Molendyk (R) | 0 | D | 100.00 | 60 | 38 | 91 | 54 | 71 | 63 | 71 | 51 | 30 | 59 | 51 | 60 | 55 | 54 | 53 | 0 | 19 | 67 | 21 | 886,666$/3yrs | |||
| TEAM AVERAGE | 99.50 | 70 | 40 | 82 | 61 | 78 | 79 | 81 | 59 | 50 | 63 | 62 | 61 | 61 | 73 | 71 | 0 | 32 | 74 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sam Montembeault | 0 | 98.00 | 84 | 95 | 82 | 87 | 85 | 79 | 87 | 91 | 88 | 90 | 87 | 74 | 79 | 0 | 33 | 90 | 29 | 3,150,000$/2yrs |
Jonathan Quick | 0 | 100.00 | 72 | 76 | 72 | 87 | 81 | 73 | 82 | 87 | 82 | 87 | 82 | 92 | 96 | 0 | 45 | 85 | 40 | 2,500,000$/1yrs |
| Scratches | ||||||||||||||||||||
Ivan Fedotov | 0 | 100.00 | 62 | 72 | 71 | 80 | 72 | 70 | 74 | 81 | 76 | 83 | 74 | 73 | 77 | 0 | 72 | 79 | 29 | 3,500,000$/3yrs |
| TEAM AVERAGE | 99.33 | 73 | 81 | 75 | 85 | 79 | 74 | 81 | 86 | 82 | 87 | 81 | 80 | 84 | 0 | 50 | 85 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dave Hakstol | 85 | 84 | 85 | 92 | 77 | 71 | 67 | CAN | 55 | 4 | 1,000,000$ |
| General Manager | Maxim Grimard |
|---|
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mattias Ekholm | 0 | D | 57 | 10 | 27 | 37 | -2 | 44 | 0 | 115 | 83 | 35 | 59 | 12.05% | 120 | 23.78 | 1 | 7 | 8 | 168 | 0 | 2 | 2 | 196 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
| 2 | Chris Kreider | 0 | LW/RW | 56 | 19 | 17 | 36 | 8 | 41 | 5 | 103 | 259 | 56 | 158 | 7.34% | 9 | 19.54 | 1 | 5 | 6 | 182 | 0 | 0 | 0 | 40 | 3 | 0 | 34.03% | 144 | 0 | 0 | 0 | 0 | 0.66 | 1 | 1 | |
| 3 | Ryan Hartman | 0 | C/RW | 56 | 16 | 17 | 33 | 2 | 52 | 10 | 142 | 181 | 50 | 127 | 8.84% | 11 | 19.41 | 4 | 4 | 8 | 156 | 0 | 1 | 1 | 122 | 1 | 2 | 52.53% | 790 | 0 | 0 | 0 | 1 | 0.61 | 0 | 1 | |
| 4 | Tyler Toffoli | 0 | LW/RW | 56 | 12 | 15 | 27 | 4 | 20 | 0 | 50 | 174 | 32 | 141 | 6.90% | 11 | 20.62 | 4 | 3 | 7 | 181 | 2 | 0 | 2 | 110 | 2 | 1 | 44.07% | 118 | 0 | 0 | 0 | 0 | 0.47 | 0 | 2 | |
| 5 | Tony DeAngelo | 0 | D | 59 | 3 | 23 | 26 | 3 | 38 | 0 | 82 | 55 | 15 | 43 | 5.45% | 62 | 21.87 | 2 | 7 | 9 | 172 | 0 | 0 | 0 | 82 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| 6 | Connor Zary | 0 | C | 56 | 10 | 16 | 26 | 0 | 8 | 0 | 34 | 119 | 29 | 81 | 8.40% | 15 | 15.19 | 1 | 1 | 2 | 111 | 0 | 0 | 0 | 0 | 1 | 1 | 43.87% | 946 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 7 | Nick Blankenburg | 0 | D | 57 | 6 | 20 | 26 | 11 | 30 | 0 | 40 | 64 | 25 | 37 | 9.38% | 74 | 18.37 | 2 | 3 | 5 | 68 | 0 | 1 | 1 | 139 | 2 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.50 | 0 | 0 | |
| 8 | Andre Burakovsky | 0 | LW/RW | 58 | 7 | 16 | 23 | 1 | 10 | 0 | 19 | 109 | 34 | 86 | 6.42% | 8 | 15.19 | 1 | 1 | 2 | 90 | 0 | 0 | 0 | 67 | 0 | 0 | 42.03% | 138 | 0 | 0 | 0 | 0 | 0.52 | 1 | 2 | |
| 9 | Mason Appleton | 0 | C/RW | 56 | 9 | 11 | 20 | -8 | 18 | 0 | 48 | 104 | 22 | 51 | 8.65% | 9 | 13.48 | 3 | 2 | 5 | 75 | 0 | 0 | 0 | 141 | 0 | 1 | 38.26% | 528 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
| 10 | Jonathan Toews | 0 | C | 47 | 10 | 9 | 19 | 1 | 6 | 0 | 17 | 108 | 29 | 83 | 9.26% | 11 | 17.28 | 2 | 2 | 4 | 158 | 0 | 0 | 0 | 101 | 2 | 0 | 56.44% | 1040 | 0 | 0 | 0 | 0 | 0.47 | 0 | 1 | |
| 11 | Simon Benoit | 0 | D | 44 | 3 | 15 | 18 | 4 | 50 | 0 | 97 | 28 | 14 | 15 | 10.71% | 81 | 15.80 | 1 | 0 | 1 | 19 | 0 | 0 | 0 | 120 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 12 | Philip Tomasino | 0 | C/LW/RW | 56 | 6 | 8 | 14 | -8 | 6 | 0 | 46 | 70 | 28 | 58 | 8.57% | 6 | 12.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 56 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| 13 | Derek Forbort | 0 | D | 56 | 1 | 10 | 11 | -1 | 71 | 5 | 113 | 43 | 18 | 38 | 2.33% | 90 | 18.40 | 0 | 2 | 2 | 83 | 0 | 0 | 0 | 164 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
| 14 | Sam Colangelo | 0 | RW | 56 | 4 | 7 | 11 | -11 | 18 | 0 | 55 | 89 | 22 | 79 | 4.49% | 3 | 11.92 | 1 | 3 | 4 | 67 | 0 | 0 | 0 | 24 | 0 | 1 | 35.53% | 76 | 0 | 0 | 0 | 0 | 0.33 | 0 | 1 | |
| 15 | Miles Wood | 0 | LW/RW | 56 | 4 | 3 | 7 | -6 | 9 | 5 | 20 | 51 | 21 | 35 | 7.84% | 8 | 7.75 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 56 | 2 | 0 | 36.00% | 25 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 16 | Brennan Othmann | 0 | LW | 9 | 1 | 2 | 3 | 5 | 8 | 0 | 20 | 3 | 2 | 2 | 33.33% | 0 | 15.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29.55% | 176 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 17 | Zachary L'Heureux | 0 | LW | 30 | 2 | 0 | 2 | -4 | 21 | 5 | 36 | 19 | 6 | 11 | 10.53% | 3 | 7.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 36.63% | 202 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
| 18 | Nicolas Deslauriers | 0 | LW/RW | 47 | 1 | 0 | 1 | -7 | 35 | 15 | 45 | 14 | 2 | 9 | 7.14% | 0 | 6.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 50.00% | 20 | 0 | 0 | 0 | 0 | 0.06 | 0 | 0 | |
| 19 | Maveric Lamoureux | 0 | D | 20 | 0 | 1 | 1 | -3 | 16 | 0 | 33 | 3 | 1 | 7 | 0.00% | 15 | 13.68 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.07 | 0 | 0 | |
| 20 | Tanner Molendyk | 0 | D | 9 | 0 | 1 | 1 | -2 | 0 | 0 | 1 | 4 | 2 | 3 | 0.00% | 10 | 12.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
| Team Total or Average | 941 | 124 | 218 | 342 | -13 | 501 | 45 | 1116 | 1580 | 443 | 1123 | 7.85% | 546 | 15.87 | 23 | 40 | 63 | 1541 | 2 | 4 | 6 | 1371 | 17 | 7 | 46.44% | 4259 | 0 | 0 | 1 | 1 | 0.46 | 2 | 8 |
| 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 | Sam Montembeault | 40 | 17 | 14 | 7 | 0.927 | 2.50 | 2252 | 4 | 3 | 94 | 1279 | 0 | 0 | 1 | 1.000 | 3 | 39 | 13 | 8 | 4 | 0 | |
| 2 | Jonathan Quick | 20 | 5 | 12 | 1 | 0.912 | 2.97 | 1132 | 2 | 1 | 56 | 638 | 0 | 0 | 1 | 0.600 | 5 | 17 | 39 | 5 | 0 | 0 | |
| Team Total or Average | 60 | 22 | 26 | 8 | 0.922 | 2.66 | 3385 | 6 | 4 | 150 | 1917 | 0 | 0 | 2 | 0.750 | 8 | 56 | 52 | 13 | 4 | 0 |
| Projected Total Cap Hit | 70,652,828$ |
| Projected Cap Space | 24,847,172$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 46,308,800$ |
| Players In Salary Cap | 23 |
| LTIR Players | 0 |
| Kraken Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Andre Burakovsky ![]() | LW/RW | 30 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||||
Brennan Othmann | LW | 23 | 863,333$ | 863,333$ | RFA | ||||||
Chris Kreider ![]() | LW/RW | 34 | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | |||||
Connor Zary ![]() | C | 24 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Derek Forbort ![]() | D | 33 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Ivan Fedotov ![]() | G | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
| Jonathan Quick | G | 40 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Jonathan Toews ![]() | C | 37 | 3,750,000$ | 3,750,000$ | UFA | ||||||
Mason Appleton ![]() | C/RW | 30 | 2,250,000$ | 2,250,000$ | UFA | ||||||
Mattias Ekholm ![]() | D | 35 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||
Maveric Lamoureux | D | 22 | 876,667$ | 876,667$ | 876,667$ | RFA | |||||
Miles Wood ![]() | LW/RW | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
Nick Blankenburg | D | 27 | 800,000$ | 800,000$ | |||||||
Nicolas Deslauriers ![]() | LW/RW | 34 | 1,750,000$ | 1,750,000$ | UFA | ||||||
Philip Tomasino ![]() | C/LW/RW | 24 | 1,850,000$ | 1,850,000$ | RFA | ||||||
Ryan Hartman ![]() | C/RW | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Sam Colangelo ![]() | RW | 24 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||||
Sam Montembeault ![]() | G | 29 | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | |||||
Simon Benoit | D | 27 | 1,200,000$ | 1,200,000$ | |||||||
Tanner Molendyk | D | 21 | 886,666$ | 886,666$ | 886,666$ | 886,666$ | RFA | ||||
Tony DeAngelo ![]() | D | 30 | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||||
Tyler Toffoli ![]() | LW/RW | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Zachary L'Heureux | LW | 22 | 863,334$ | 863,334$ | RFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Aidan Dudas | LW | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Ben Meyers | C | 27 | 800,000$ | 800,000$ | |||||||
Coulson Pitre | C/RW | 21 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
Dylan Garand | G | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Ethan Samson | D | 22 | 846,667$ | 846,667$ | RFA | ||||||
Isaac Howard | LW/RW | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Jake Furlong | D | 21 | 870,833$ | 870,833$ | RFA | ||||||
Jared McIsaac | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Jett Luchanko | C | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | |||||
Jon-Randall Avon | C | 22 | 800,000$ | 800,000$ | RFA | ||||||
Maksymilian Szuber | D | 23 | 859,167$ | 859,167$ | RFA | ||||||
Martin Chromiak | RW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Mikael Pyyhtia | LW | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | |||||
Mike Hardman | LW/RW | 27 | 800,000$ | 800,000$ | |||||||
Ondrej Becher | C | 21 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Oskar Steen | C/RW | 27 | 800,000$ | 800,000$ | |||||||
Otto Stenberg | C/LW/RW | 20 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Owen Allard | C/LW | 22 | 869,167$ | 869,167$ | 869,167$ | 869,167$ | RFA | ||||
Patrick Bajkov | LW/RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Ruslan Khazheyev | G | 21 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
Ryan Chesley | D | 21 | 923,333$ | 923,333$ | 923,333$ | 923,333$ | RFA | ||||
Samuel Fagemo | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Stanislav Svozil | D | 23 | 825,000$ | 825,000$ | RFA | ||||||
Stian Solberg | D | 20 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Tarmo Reunanen | D | 27 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Taylor Gauthier | G | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Tobie Bisson | D | 29 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Topi Niemela | D | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Ty Pelton-Byce | C | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Tyler Madden | C | 26 | 950,000$ | 950,000$ | 950,000$ | ||||||
Wyatte Wylie | D | 26 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Xavier Bernard | D | 25 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Xavier Simoneau | C/LW/RW | 24 | 800,000$ | 800,000$ | 800,000$ |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 1 | 2 | 72 | 14 | 27 | 23 | 16 | 97 | 24 | 31 | 48 | 8 | 1 | 12.50% | 13 | 3 | 76.92% | 1 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 46 | 31 | 57 | 15 | 26 | 13 | 62.5% | 8.3% | 93.8% | 102.1 | DULL | |
| 2 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 3 | 1 | 53 | 20 | 15 | 17 | 1 | 66 | 26 | 21 | 45 | 10 | 1 | 10.00% | 8 | 2 | 75.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 43 | 28 | 55 | 16 | 25 | 12 | 75.0% | 13.2% | 93.9% | 107.1 | LUCKY | |
| 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 0 | 1 | 2 | 0 | 73 | 20 | 32 | 21 | 0 | 69 | 19 | 20 | 39 | 10 | 1 | 10.00% | 10 | 2 | 80.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 46 | 31 | 50 | 15 | 23 | 11 | 66.7% | 4.1% | 95.7% | 99.8 | DULL | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 7 | 11 | 0 | 1 | 2 | 1 | 1 | 0 | 26 | 10 | 8 | 8 | 0 | 29 | 4 | 4 | 21 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 23 | 15 | 23 | 6 | 13 | 6 | 100.0% | 15.4% | 100.0% | 115.4 | LUCKY | |
| 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 2 | 1 | 0 | 0 | 67 | 23 | 21 | 23 | 0 | 50 | 13 | 14 | 46 | 8 | 1 | 12.50% | 7 | 0 | 100.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 50 | 34 | 45 | 14 | 24 | 11 | 33.3% | 4.5% | 92.0% | 96.5 | DULL | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 22 | 4 | 10 | 8 | 0 | 47 | 5 | 33 | 22 | 0 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 20 | 13 | 27 | 7 | 12 | 5 | 60.0% | 13.6% | 91.5% | 105.1 | LUCKY | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 29 | 5 | 16 | 8 | 0 | 34 | 12 | 6 | 22 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 22 | 15 | 24 | 7 | 12 | 6 | 66.7% | 6.9% | 97.1% | 104.0 | DULL | |
| 8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 3 | 0 | 0 | 59 | 20 | 19 | 20 | 0 | 61 | 24 | 29 | 55 | 4 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 41 | 28 | 53 | 14 | 25 | 11 | 33.3% | 6.8% | 85.2% | 92.0 | Unlucky | |
| 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 4 | 1.000 | 6 | 12 | 18 | 0 | 1 | 5 | 0 | 1 | 0 | 69 | 31 | 20 | 18 | 0 | 43 | 17 | 20 | 42 | 11 | 1 | 9.09% | 4 | 0 | 100.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 46 | 31 | 48 | 15 | 25 | 13 | 83.3% | 8.7% | 97.7% | 106.4 | DULL | |
| 10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 47 | 16 | 11 | 20 | 0 | 85 | 25 | 24 | 30 | 4 | 1 | 25.00% | 11 | 4 | 63.64% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 36 | 23 | 57 | 15 | 25 | 11 | 16.7% | 4.3% | 89.4% | 93.7 | Unlucky | |
| 11 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 63 | 19 | 21 | 20 | 3 | 86 | 20 | 12 | 50 | 6 | 2 | 33.33% | 6 | 1 | 83.33% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 45 | 31 | 53 | 13 | 26 | 13 | 33.3% | 7.9% | 91.9% | 99.8 | DULL | |
| 12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 4 | 3 | 3 | 0 | 63 | 19 | 23 | 21 | 0 | 76 | 23 | 17 | 38 | 8 | 3 | 37.50% | 6 | 0 | 100.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 43 | 29 | 52 | 14 | 24 | 12 | 63.6% | 15.9% | 94.7% | 110.6 | LUCKY | |
| 13 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 2 | 1 | 3 | 1 | 69 | 24 | 28 | 16 | 1 | 56 | 21 | 12 | 45 | 7 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 48 | 33 | 46 | 15 | 24 | 12 | 63.6% | 10.1% | 91.1% | 101.2 | Unlucky | |
| 14 | 3 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 8 | 12 | -4 | 2 | 0.333 | 8 | 14 | 22 | 1 | 0 | 6 | 2 | 0 | 0 | 103 | 36 | 27 | 37 | 3 | 111 | 37 | 24 | 63 | 8 | 1 | 12.50% | 10 | 1 | 90.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 66 | 44 | 77 | 23 | 38 | 18 | 38.9% | 7.8% | 89.2% | 97.0 | Unlucky | |
| 15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 27 | 9 | 10 | 8 | 0 | 46 | 15 | 12 | 19 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 1 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 19 | 11 | 27 | 9 | 13 | 6 | 50.0% | 11.1% | 91.3% | 102.4 | LUCKY | |
| 16 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 2 | 0.333 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 94 | 36 | 26 | 32 | 0 | 105 | 34 | 26 | 56 | 17 | 2 | 11.76% | 12 | 1 | 91.67% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 74 | 51 | 68 | 21 | 37 | 18 | 25.0% | 5.3% | 90.5% | 95.8 | Unlucky | |
| 17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 34 | 9 | 8 | 17 | 0 | 25 | 5 | 11 | 19 | 9 | 2 | 22.22% | 3 | 0 | 100.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 23 | 16 | 24 | 8 | 11 | 6 | 50.0% | 8.8% | 96.0% | 104.8 | DULL | |
| 18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 3 | 1 | 0 | 61 | 19 | 32 | 10 | 0 | 64 | 21 | 21 | 41 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 42 | 26 | 51 | 16 | 26 | 12 | 50.0% | 11.5% | 90.6% | 102.1 | FUN | |
| 19 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 1 | 1 | 43 | 6 | 16 | 18 | 3 | 83 | 24 | 10 | 46 | 8 | 1 | 12.50% | 4 | 1 | 75.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 41 | 28 | 57 | 15 | 24 | 11 | 41.7% | 14.0% | 90.4% | 104.3 | FUN | |
| 20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 44 | 18 | 7 | 19 | 0 | 28 | 9 | 8 | 19 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 23 | 15 | 24 | 9 | 12 | 6 | 50.0% | 2.3% | 92.9% | 95.1 | DULL | |
| 21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 1 | 3 | 3 | 0 | 68 | 29 | 20 | 19 | 0 | 56 | 22 | 16 | 30 | 9 | 1 | 11.11% | 7 | 0 | 100.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 47 | 34 | 49 | 14 | 22 | 10 | 60.0% | 10.3% | 92.9% | 103.2 | LUCKY | |
| 22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 11 | 4 | 15 | 0 | 31 | 13 | 8 | 18 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 22 | 15 | 26 | 7 | 11 | 5 | 33.3% | 3.3% | 90.3% | 93.7 | Unlucky | |
| 23 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 7 | -3 | 1 | 0.250 | 4 | 6 | 10 | 0 | 0 | 2 | 2 | 0 | 0 | 71 | 23 | 29 | 19 | 0 | 78 | 17 | 20 | 49 | 7 | 1 | 14.29% | 10 | 2 | 80.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 46 | 31 | 48 | 15 | 24 | 12 | 37.5% | 5.6% | 91.0% | 96.7 | Unlucky | |
| 24 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.250 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 110 | 37 | 38 | 35 | 0 | 139 | 70 | 51 | 90 | 6 | 1 | 16.67% | 22 | 4 | 81.82% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 80 | 51 | 110 | 29 | 49 | 23 | 50.0% | 3.6% | 95.0% | 98.6 | DULL | |
| 25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 48 | 18 | 19 | 11 | 0 | 76 | 24 | 22 | 39 | 10 | 1 | 10.00% | 11 | 3 | 72.73% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 41 | 26 | 52 | 16 | 26 | 12 | 0.0% | 2.1% | 92.1% | 94.2 | DULL | |
| 26 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 42 | 14 | 18 | 7 | 3 | 78 | 22 | 16 | 56 | 2 | 1 | 50.00% | 7 | 1 | 85.71% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 40 | 26 | 58 | 15 | 26 | 12 | 40.0% | 11.9% | 91.0% | 102.9 | FUN | |
| 27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 1 | 0 | 0 | 1 | 4 | 0 | 65 | 15 | 26 | 24 | 0 | 61 | 21 | 12 | 47 | 4 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 44 | 30 | 50 | 14 | 25 | 12 | 50.0% | 7.7% | 86.9% | 94.6 | Unlucky | |
| 28 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 83 | 22 | 31 | 30 | 0 | 90 | 21 | 28 | 75 | 12 | 0 | 0.00% | 14 | 1 | 92.86% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 64 | 42 | 78 | 22 | 37 | 18 | 22.2% | 2.4% | 91.1% | 93.5 | Unlucky | |
| 29 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 3 | 0 | 4 | 0 | 65 | 24 | 15 | 26 | 0 | 49 | 18 | 12 | 57 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 48 | 32 | 45 | 14 | 26 | 13 | 75.0% | 10.8% | 93.9% | 104.6 | LUCKY | |
| _Vs Division | 19 | 5 | 9 | 0 | 1 | 2 | 1 | 1 | 39 | 51 | -12 | 17 | 0.447 | 39 | 73 | 112 | 1 | 0 | 16 | 10 | 11 | 3 | 596 | 193 | 192 | 199 | 20 | 647 | 225 | 184 | 434 | 66 | 6 | 9.09% | 83 | 12 | 85.54% | 1 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 428 | 286 | 483 | 141 | 239 | 116 | 45.8% | 6.5% | 92.1% | 98.7 | DULL | |
| _Vs Conference | 32 | 12 | 14 | 0 | 1 | 3 | 1 | 1 | 76 | 84 | -8 | 32 | 0.500 | 76 | 136 | 212 | 1 | 0 | 29 | 25 | 20 | 3 | 997 | 324 | 349 | 312 | 20 | 1102 | 364 | 309 | 691 | 122 | 16 | 13.11% | 136 | 19 | 86.03% | 2 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 716 | 478 | 814 | 242 | 401 | 196 | 48.0% | 7.6% | 92.4% | 100.0 | DULL | |
| _Since Last GM Reset | 56 | 18 | 26 | 0 | 3 | 7 | 1 | 1 | 131 | 153 | -22 | 52 | 0.464 | 131 | 241 | 372 | 2 | 4 | 53 | 41 | 33 | 5 | 1700 | 551 | 577 | 550 | 30 | 1919 | 606 | 540 | 1227 | 200 | 25 | 12.50% | 226 | 38 | 83.19% | 2 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 1241 | 832 | 1446 | 424 | 704 | 341 | 48.0% | 7.7% | 92.0% | 99.7 | DULL | |
| Total | 56 | 18 | 26 | 0 | 3 | 7 | 1 | 1 | 131 | 153 | -22 | 52 | 0.464 | 131 | 241 | 372 | 2 | 4 | 53 | 41 | 33 | 5 | 1700 | 551 | 577 | 550 | 30 | 1919 | 606 | 540 | 1227 | 200 | 25 | 12.50% | 226 | 38 | 83.19% | 2 | 929 | 1966 | 47.25% | 999 | 2182 | 45.78% | 383 | 826 | 46.37% | 1241 | 832 | 1446 | 424 | 704 | 341 | 48.0% | 7.7% | 92.0% | 99.7 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 12 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1966 |
| Neutral Zone Start | 826 |
| Defensive Zone Start | 2182 |
| Puck Time | |
|---|---|
| With Puck | 28 |
| Without Puck | 32 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2311 |
| Faceoffs Lost | 2663 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.8 | 9.57 |
| 2nd Period | 20.1 | 20.31 |
| 3rd Period | 30.0 | 30.68 |
| Overtime | 30.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 1.7 | 1.65 |
| 3rd Period | 2.3 | 2.67 |
| Overtime | 2.4 | 2.83 |
| Even Strenght Goal | 102 |
|---|---|
| PP Goal | 25 |
| PK Goal | 2 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 12 | 10 |
| Lost | 12 | 14 |
| Overtime Lost | 4 | 4 |
| PP Attempt | 200 |
|---|---|
| PP Goal | 25 |
| PK Attempt | 226 |
| PK Goal Against | 38 |
| Home | |
|---|---|
| Shots For | 30.4 |
| Shots Against | 34.3 |
| Goals For | 2.3 |
| Goals Against | 2.7 |
| Hits | 21.9 |
| Shots Blocked | 10.8 |
| Pim | 9.6 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Ducks1,Kraken2 | RECAP | |||||||||||
| 2025-10-12 | @ | Golden Knights2,Kraken4 | RECAP | |||||||||||
| 2025-10-15 | @ | Kraken1,Canadiens7 | RECAP | |||||||||||
| 2025-10-17 | @ | Kraken4,Senators0 | RECAP | |||||||||||
| 2025-10-19 | @ | Kraken2,Maple Leafs3 (OT) | RECAP | |||||||||||
| 2025-10-21 | @ | Kraken4,Flyers2 | RECAP | |||||||||||
| 2025-10-22 | @ | Kraken2,Capitals3 (OT) | RECAP | |||||||||||
| 2025-10-24 | @ | Kraken1,Jets3 | RECAP | |||||||||||
| 2025-10-26 | @ | Oilers2,Kraken3 | RECAP | |||||||||||
| 2025-10-29 | @ | Canadiens2,Kraken1 | RECAP | |||||||||||
| 2025-11-02 | @ | Rangers5,Kraken2 | RECAP | |||||||||||
| 2025-11-04 | @ | Blackhawks1,Kraken3 | RECAP | |||||||||||
| 2025-11-06 | @ | Sharks3,Kraken1 | RECAP | |||||||||||
| 2025-11-09 | @ | Kraken3,Blues1 | RECAP | |||||||||||
| 2025-11-10 | @ | Kraken1,Stars3 | RECAP | |||||||||||
| 2025-11-12 | @ | Blue Jackets3,Kraken1 | RECAP | |||||||||||
| 2025-11-14 | @ | Jets4,Kraken3 (OT) | RECAP | |||||||||||
| 2025-11-16 | @ | Sharks2,Kraken1 | RECAP | |||||||||||
| 2025-11-19 | @ | Kraken3,Red Wings1 | RECAP | |||||||||||
| 2025-11-21 | @ | Kraken4,Blackhawks3 | RECAP | |||||||||||
| 2025-11-23 | @ | Kraken4,Penguins5 | RECAP | |||||||||||
| 2025-11-24 | @ | Kraken2,Islanders4 | RECAP | |||||||||||
| 2025-11-27 | @ | Stars3,Kraken0 | RECAP | |||||||||||
| 2025-11-30 | @ | Oilers4,Kraken0 | RECAP | |||||||||||
| 2025-12-05 | @ | Kraken2,Oilers4 | RECAP | |||||||||||
| 2025-12-07 | @ | Red Wings0,Kraken3 | RECAP | |||||||||||
| 2025-12-09 | @ | Wild1,Kraken4 | RECAP | |||||||||||
| 2025-12-11 | @ | Kings3,Kraken2 (OT) | RECAP | |||||||||||
| 2025-12-13 | @ | Kraken4,Mammoth2 | RECAP | |||||||||||
| 2025-12-15 | @ | Sabres2,Kraken1 | RECAP | |||||||||||
| 2025-12-17 | @ | Avalanche1,Kraken2 | RECAP | |||||||||||
| 2025-12-19 | @ | Kraken3,Flames4 (SO) | RECAP | |||||||||||
| 2025-12-21 | @ | Kraken0,Sharks3 | RECAP | |||||||||||
| 2025-12-23 | @ | Kraken2,Ducks4 | RECAP | |||||||||||
| 2025-12-24 | @ | Kraken3,Kings5 | RECAP | |||||||||||
| 2025-12-29 | @ | Flyers2,Kraken3 (OT) | RECAP | |||||||||||
| 2025-12-30 | @ | Canucks3,Kraken4 (OT) | RECAP | |||||||||||
| 2026-01-02 | @ | Predators4,Kraken3 | RECAP | |||||||||||
| 2026-01-03 | @ | Kraken3,Canucks2 | RECAP | |||||||||||
| 2026-01-06 | @ | Kraken3,Flames2 (SO) | RECAP | |||||||||||
| 2026-01-07 | @ | Bruins4,Kraken5 (OT) | RECAP | |||||||||||
| 2026-01-09 | @ | Wild3,Kraken6 | RECAP | |||||||||||
| 2026-01-11 | @ | Kraken3,Hurricanes4 | RECAP | |||||||||||
| 2026-01-13 | @ | Kraken2,Rangers4 | RECAP | |||||||||||
| 2026-01-15 | @ | Kraken1,Devils0 | RECAP | |||||||||||
| 2026-01-16 | @ | Kraken1,Bruins4 | RECAP | |||||||||||
| 2026-01-18 | @ | Kraken3,Mammoth4 | RECAP | |||||||||||
| 2026-01-20 | @ | Penguins3,Kraken1 | RECAP | |||||||||||
| 2026-01-22 | @ | Islanders0,Kraken1 | RECAP | |||||||||||
| 2026-01-24 | @ | Ducks1,Kraken0 | RECAP | |||||||||||
| 2026-01-26 | @ | Devils3,Kraken2 | RECAP | |||||||||||
| 2026-01-28 | @ | Capitals4,Kraken3 (OT) | RECAP | |||||||||||
| 2026-01-30 | @ | Maple Leafs4,Kraken3 (OT) | RECAP | |||||||||||
| 2026-02-01 | @ | Kraken3,Golden Knights1 | RECAP | |||||||||||
| 2026-02-04 | @ | Kraken0,Ducks1 | RECAP | |||||||||||
| 2026-02-05 | @ | Kraken3,Kings4 (OT) | RECAP | |||||||||||
| 2026-02-26 | @ | |||||||||||||
| 2026-02-27 | @ | |||||||||||||
| 2026-03-01 | @ | |||||||||||||
| 2026-03-03 | @ | |||||||||||||
| 2026-03-05 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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| 2026-03-25 | @ | |||||||||||||
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| 2026-03-29 | @ | |||||||||||||
| 2026-04-01 | @ | |||||||||||||
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| 2026-04-12 | @ | |||||||||||||
| 2026-04-14 | @ | |||||||||||||
| 2026-04-16 | @ | |||||||||||||
| 2026-04-17 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 67,740,000$ | 0$ | 70,652,828$ | 27,760,000$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Climate Pledge Arena | |
| City | Seattle | ||
| Capacity | 21500 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 7000 | 6000 | 2500 | 5000 | 1000 |
| Ticket Price | 200$ | 110$ | 70$ | 50$ | 500$ |
| Attendance | 78400 | 68045 | 28000 | 56000 | 11200 |
| Attendance PCT | 40.00% | 40.50% | 40.00% | 40.00% | 40.00% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 13 | 8630 - 40.14% | 1,556,516$ | 43,582,435$ | 21500 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 67,740,000$ | 67,740,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 46,949,435$ | 352,812$ | 46,308,800$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 20,234,702$ | 69 | 358,021$ | 24,703,449$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 25,635,570$ | 67,740,000$ | 40,746,586$ | 35,345,718$ |
Rookie
Injured
Cold Streak
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
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| 2029 | ||||||||
| 2030 |
| 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) |
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| 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. |
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| 8 | ? | Wildcard for a single, non-space character. |
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| 10 | text | Any text entered in the filter will match text found within the column |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Aaron Pionk | 2023 | 169 | |||
| Aku Koskenvuo | 2021 | 131 | |||
| Brandon Svoboda | 2023 | 92 | |||
| Cal Thomas | 2021 | 195 | |||
| Cameron O'Neill | 2022 | 160 | |||
| Cole Knuble | 2023 | 111 | |||
| EJ Emery | 2024 | 52 | |||
| Emmett Croteau | 2022 | 141 | |||
| Ilya Safonov | 2021 | 159 | |||
| Jack Bar | 2021 | 125 | |||
| Jake Richard | 2022 | 177 | |||
| Kasper Simontaival | 2020 | 45 | |||
| L.J. Mooney | 2025 | 85 | |||
| Luca Romano | 2025 | 57 | |||
| Luke Mittelstadt | 2023 | 141 | |||
| Milton Oscarson | 2023 | 156 | |||
| Owen Mehlenbacher | 2022 | 170 | |||
| Samu Bau | 2023 | 154 | |||
| Veeti Vaisanen | 2024 | 58 | |||
| Vojtech Port | 2023 | 187 | |||
| William Zellers | 2024 | 91 |
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