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Full Scoreboard »» |
| Winnipeg Jets 18-14-6, 42pts · 8th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brayden Point | 21 | C | 100.00 | 57 | 34 | 94 | 79 | 70 | 87 | 88 | 78 | 81 | 77 | 83 | 57 | 80 | 75 | 75 | 0 | 47 | 86 | 29 | 9,000,000$/2yrs | |||
Brady Tkachuk | 0 | C/LW | 100.00 | 90 | 48 | 50 | 78 | 89 | 85 | 84 | 75 | 77 | 74 | 80 | 60 | 77 | 69 | 74 | 0 | 52 | 85 | 26 | 6,500,000$/2yrs | |||
Matthew Knies | 0 | LW | 100.00 | 83 | 36 | 84 | 78 | 83 | 86 | 89 | 74 | 55 | 76 | 77 | 68 | 75 | 64 | 62 | 0 | 47 | 84 | 23 | 7,750,000$/6yrs | |||
Tyler Bertuzzi | 0 | LW/RW | 100.00 | 65 | 35 | 78 | 71 | 74 | 82 | 90 | 70 | 61 | 67 | 78 | 54 | 74 | 77 | 75 | 0 | 25 | 80 | 30 | 7,000,000$/4yrs | |||
Alexis Lafreniere | 0 | LW | 100.00 | 70 | 33 | 83 | 72 | 77 | 84 | 90 | 70 | 58 | 70 | 73 | 57 | 71 | 64 | 62 | 0 | 47 | 79 | 24 | 3,000,000$/1yrs | |||
Alex Laferriere | 0 | RW | 100.00 | 79 | 32 | 91 | 70 | 68 | 82 | 89 | 65 | 71 | 67 | 71 | 62 | 68 | 65 | 64 | 0 | 50 | 78 | 24 | 4,100,000$/3yrs | |||
Ilya Mikheyev | 0 | LW/RW | 100.00 | 60 | 33 | 92 | 64 | 77 | 82 | 89 | 62 | 56 | 61 | 70 | 68 | 66 | 78 | 77 | 0 | 47 | 76 | 31 | 4,750,000$/1yrs | |||
Jason Dickinson | 0 | C/LW | 100.00 | 74 | 39 | 81 | 59 | 80 | 81 | 83 | 59 | 86 | 61 | 63 | 77 | 61 | 76 | 74 | 0 | 45 | 75 | 30 | 2,500,000$/2yrs | |||
Matthew Wood (R) | 0 | RW | 100.00 | 63 | 33 | 95 | 66 | 85 | 76 | 73 | 62 | 59 | 63 | 69 | 55 | 66 | 59 | 59 | 0 | 46 | 74 | 20 | 950,000$/3yrs | |||
Logan O'Connor | 0 | LW/RW | 100.00 | 66 | 38 | 88 | 58 | 69 | 78 | 82 | 60 | 69 | 60 | 63 | 74 | 61 | 74 | 73 | 0 | 47 | 73 | 29 | 4,000,000$/3yrs | |||
Tanner Pearson | 0 | LW | 100.00 | 71 | 35 | 90 | 59 | 79 | 74 | 88 | 58 | 58 | 61 | 64 | 62 | 61 | 81 | 80 | 0 | 47 | 73 | 33 | 1,300,000$/2yrs | |||
Fyodor Svechkov (R) | 0 | C | 100.00 | 63 | 32 | 90 | 64 | 73 | 77 | 73 | 57 | 73 | 62 | 65 | 58 | 61 | 61 | 60 | 0 | 50 | 72 | 22 | 925,000$/1yrs | |||
Mikhail Sergachev | 98 | D | 99.00 | 64 | 33 | 83 | 74 | 84 | 96 | 90 | 68 | 30 | 77 | 67 | 81 | 68 | 72 | 70 | 0 | 47 | 85 | 27 | 8,500,000$/6yrs | |||
Jakob Chychrun | 6 | D | 99.00 | 66 | 36 | 74 | 73 | 86 | 91 | 89 | 60 | 30 | 71 | 77 | 62 | 68 | 72 | 69 | 0 | 47 | 81 | 27 | 9,000,000$/8yrs | |||
Calle Rosen | 48 | D | 100.00 | 62 | 38 | 87 | 56 | 69 | 69 | 87 | 54 | 30 | 62 | 55 | 71 | 58 | 73 | 72 | 0 | 47 | 72 | 31 | 800,000$/2yrs | |||
Logan Stanley | 0 | D | 100.00 | 74 | 55 | 50 | 55 | 99 | 81 | 86 | 54 | 30 | 63 | 59 | 63 | 57 | 71 | 66 | 0 | 47 | 72 | 27 | 1,000,000$/1yrs | |||
Henri Jokiharju | 0 | D | 100.00 | 64 | 33 | 90 | 57 | 77 | 84 | 83 | 51 | 30 | 61 | 55 | 58 | 53 | 69 | 68 | 0 | 47 | 70 | 26 | 2,000,000$/2yrs | |||
Dakota Mermis | 36 | D | 100.00 | 64 | 49 | 70 | 55 | 76 | 77 | 68 | 50 | 30 | 56 | 59 | 56 | 54 | 78 | 75 | 0 | 47 | 69 | 31 | 800,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Steven Lorentz | 0 | C/LW | 100.00 | 84 | 36 | 93 | 57 | 84 | 73 | 89 | 58 | 60 | 61 | 61 | 72 | 60 | 75 | 74 | 0 | 37 | 74 | 29 | 1,350,000$/3yrs | |||
Kailer Yamamoto | 0 | RW | 100.00 | 62 | 31 | 90 | 60 | 57 | 74 | 73 | 61 | 60 | 61 | 65 | 52 | 63 | 70 | 69 | 0 | 19 | 72 | 27 | 800,000$/2yrs | |||
Dillon Dube | 0 | C/LW/RW | 100.00 | 66 | 32 | 93 | 55 | 71 | 74 | 72 | 56 | 75 | 58 | 58 | 60 | 57 | 69 | 69 | 0 | 20 | 69 | 27 | ||||
Philippe Myers | 0 | D | 100.00 | 79 | 39 | 83 | 55 | 91 | 80 | 77 | 50 | 30 | 57 | 55 | 66 | 53 | 73 | 71 | 0 | 20 | 71 | 28 | 850,000$/2yrs | |||
| TEAM AVERAGE | 99.91 | 69 | 37 | 83 | 64 | 78 | 81 | 83 | 61 | 55 | 65 | 67 | 63 | 64 | 71 | 70 | 0 | 42 | 76 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ukko-Pekka Luukkonen | 0 | 97.00 | 84 | 95 | 83 | 89 | 87 | 79 | 88 | 92 | 88 | 93 | 88 | 69 | 74 | 0 | 25 | 90 | 26 | 5,000,000$/3yrs |
Gage Alexander | 0 | 100.00 | 72 | 69 | 68 | 86 | 58 | 73 | 71 | 72 | 73 | 74 | 72 | 60 | 60 | 0 | 53 | 75 | 23 | 800,000$/3yrs |
| Scratches | ||||||||||||||||||||
Damian Clara | 0 | 100.00 | 74 | 74 | 71 | 89 | 61 | 77 | 73 | 74 | 77 | 78 | 75 | 58 | 66 | 0 | 21 | 78 | 20 | 878,333$/2yrs |
Dryden McKay | 0 | 100.00 | 68 | 65 | 67 | 72 | 71 | 74 | 70 | 68 | 74 | 72 | 71 | 69 | 72 | 0 | 41 | 75 | 28 | 800,000$/2yrs |
| TEAM AVERAGE | 99.25 | 75 | 76 | 72 | 84 | 69 | 76 | 76 | 77 | 78 | 79 | 77 | 64 | 68 | 0 | 35 | 80 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Craig Berube | 83 | 84 | 88 | 76 | 75 | 85 | 79 | CAN | 58 | 4 | 1,000,000$ |
| General Manager | Nathan Mourot |
|---|
| 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 | Brayden Point | 21 | C | 38 | 17 | 34 | 51 | 8 | 2 | 0 | 9 | 169 | 43 | 115 | 10.06% | 11 | 21.38 | 6 | 12 | 18 | 130 | 0 | 0 | 0 | 158 | 1 | 3 | 49.56% | 1255 | 0 | 0 | 0 | 0 | 1.26 | 0 | 4 | |
| 2 | Mikhail Sergachev | 98 | D | 38 | 9 | 28 | 37 | -2 | 34 | 0 | 64 | 94 | 27 | 61 | 9.57% | 90 | 26.61 | 5 | 9 | 14 | 127 | 0 | 0 | 0 | 138 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | |
| 3 | Brady Tkachuk | 0 | C/LW | 39 | 19 | 15 | 34 | 9 | 83 | 25 | 124 | 134 | 39 | 82 | 14.18% | 4 | 16.93 | 6 | 5 | 11 | 110 | 0 | 0 | 0 | 48 | 3 | 0 | 49.71% | 517 | 0 | 0 | 0 | 1 | 1.03 | 0 | 1 | |
| 4 | Matthew Knies | 0 | LW | 38 | 17 | 16 | 33 | 9 | 22 | 0 | 110 | 148 | 35 | 71 | 11.49% | 6 | 17.17 | 6 | 5 | 11 | 120 | 0 | 0 | 0 | 23 | 0 | 1 | 40.00% | 45 | 0 | 0 | 0 | 0 | 1.01 | 1 | 4 | |
| 5 | Alexis Lafreniere | 0 | LW | 38 | 6 | 16 | 22 | -3 | 6 | 0 | 15 | 83 | 28 | 65 | 7.23% | 3 | 13.99 | 3 | 5 | 8 | 66 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 57 | 0 | 0 | 0 | 0 | 0.83 | 0 | 2 | |
| 6 | Jason Dickinson | 0 | C/LW | 37 | 10 | 9 | 19 | 2 | 18 | 0 | 54 | 81 | 29 | 75 | 12.35% | 9 | 16.03 | 3 | 3 | 6 | 91 | 0 | 0 | 0 | 106 | 2 | 0 | 49.51% | 307 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
| 7 | Logan Stanley | 0 | D | 38 | 5 | 13 | 18 | -16 | 60 | 0 | 126 | 44 | 11 | 18 | 11.36% | 57 | 20.05 | 2 | 8 | 10 | 110 | 0 | 0 | 0 | 83 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| 8 | Logan O'Connor | 0 | LW/RW | 38 | 9 | 9 | 18 | 3 | 20 | 0 | 41 | 79 | 31 | 53 | 11.39% | 8 | 14.98 | 0 | 2 | 2 | 60 | 0 | 0 | 0 | 43 | 0 | 2 | 46.38% | 69 | 0 | 0 | 0 | 0 | 0.63 | 0 | 1 | |
| 9 | Ilya Mikheyev | 0 | LW/RW | 38 | 10 | 7 | 17 | -14 | 6 | 0 | 41 | 63 | 26 | 45 | 15.87% | 13 | 18.20 | 0 | 2 | 2 | 42 | 0 | 0 | 0 | 104 | 3 | 0 | 45.83% | 48 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 10 | Alex Laferriere | 0 | RW | 38 | 6 | 8 | 14 | -10 | 14 | 0 | 37 | 58 | 14 | 42 | 10.34% | 0 | 14.50 | 3 | 4 | 7 | 65 | 0 | 0 | 0 | 0 | 2 | 1 | 50.00% | 48 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 11 | Jakob Chychrun | 6 | D | 38 | 3 | 9 | 12 | -1 | 46 | 0 | 90 | 53 | 13 | 39 | 5.66% | 64 | 26.22 | 3 | 3 | 6 | 127 | 0 | 0 | 0 | 130 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 12 | Tyler Bertuzzi | 0 | LW/RW | 36 | 6 | 6 | 12 | -9 | 45 | 5 | 63 | 54 | 13 | 37 | 11.11% | 6 | 19.33 | 1 | 4 | 5 | 99 | 0 | 0 | 0 | 78 | 0 | 1 | 40.87% | 115 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 13 | Henri Jokiharju | 0 | D | 38 | 2 | 9 | 11 | -16 | 10 | 0 | 21 | 44 | 9 | 27 | 4.55% | 55 | 21.60 | 2 | 4 | 6 | 110 | 0 | 0 | 0 | 138 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
| 14 | Dakota Mermis | 36 | D | 38 | 3 | 7 | 10 | 1 | 20 | 0 | 67 | 18 | 2 | 7 | 16.67% | 31 | 12.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 15 | Calle Rosen | 48 | D | 38 | 0 | 8 | 8 | 2 | 14 | 0 | 28 | 15 | 5 | 17 | 0.00% | 41 | 13.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 16 | Tanner Pearson | 0 | LW | 38 | 2 | 6 | 8 | -8 | 8 | 0 | 31 | 20 | 8 | 26 | 10.00% | 3 | 10.39 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 41.75% | 194 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 17 | Fyodor Svechkov | 0 | C | 38 | 1 | 7 | 8 | -14 | 4 | 0 | 22 | 21 | 10 | 27 | 4.76% | 1 | 11.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 45.81% | 561 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 18 | Steven Lorentz | 0 | C/LW | 33 | 3 | 2 | 5 | -14 | 15 | 5 | 57 | 37 | 11 | 30 | 8.11% | 8 | 15.08 | 0 | 1 | 1 | 41 | 0 | 0 | 0 | 70 | 0 | 0 | 39.56% | 594 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 19 | Matthew Wood | 0 | RW | 22 | 3 | 2 | 5 | 4 | 0 | 0 | 3 | 45 | 9 | 24 | 6.67% | 1 | 14.70 | 1 | 0 | 1 | 70 | 0 | 0 | 0 | 0 | 1 | 1 | 60.71% | 28 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 20 | Kailer Yamamoto | 0 | RW | 14 | 0 | 3 | 3 | 0 | 2 | 0 | 7 | 10 | 4 | 15 | 0.00% | 2 | 9.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| Team Total or Average | 713 | 131 | 214 | 345 | -69 | 429 | 35 | 1010 | 1270 | 367 | 876 | 10.31% | 413 | 17.00 | 41 | 67 | 108 | 1376 | 0 | 0 | 0 | 1169 | 16 | 11 | 46.49% | 3842 | 0 | 0 | 0 | 1 | 0.57 | 1 | 12 |
| 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 | Ukko-Pekka Luukkonen | 31 | 13 | 12 | 5 | 0.909 | 3.35 | 1685 | 6 | 0 | 94 | 1030 | 0 | 2 | 0 | 0.818 | 11 | 31 | 0 | 6 | 1 | 1 | |
| 2 | Gage Alexander | 12 | 5 | 2 | 1 | 0.910 | 3.20 | 581 | 0 | 0 | 31 | 346 | 0 | 1 | 0 | 0.500 | 4 | 7 | 31 | 1 | 1 | 0 | |
| 3 | Dryden McKay | 1 | 0 | 0 | 0 | 0.913 | 2.86 | 42 | 0 | 0 | 2 | 23 | 0 | 0 | 0 | 0.000 | 0 | 0 | 7 | 0 | 0 | 0 | |
| Team Total or Average | 44 | 18 | 14 | 6 | 0.909 | 3.30 | 2309 | 6 | 0 | 127 | 1399 | 0 | 3 | 0 | 0.733 | 15 | 38 | 38 | 7 | 2 | 1 |
| Projected Total Cap Hit | 82,171,538$ |
| Projected Cap Space | 13,328,462$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 36,086,342$ |
| Players In Salary Cap | 25 |
| LTIR Players | 0 |
| Jets Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Laferriere ![]() | RW | 24 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | |||||
Alexis Lafreniere ![]() | LW | 24 | 3,000,000$ | 3,000,000$ | RFA | ||||||
Brady Tkachuk ![]() | C/LW | 26 | 6,500,000$ | 6,500,000$ | 6,500,000$ | ||||||
Brayden Point ![]() | C | 29 | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |||||
Calle Rosen | D | 31 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Dakota Mermis | D | 31 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Damian Clara | G | 20 | 878,333$ | 878,333$ | 878,333$ | RFA | |||||
Dillon Dube | C/LW/RW | 27 | 0$ | ||||||||
Dryden McKay | G | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Fyodor Svechkov | C | 22 | 925,000$ | 925,000$ | RFA | ||||||
Gage Alexander | G | 23 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | RFA | ||||
Henri Jokiharju ![]() | D | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Ilya Mikheyev ![]() | LW/RW | 31 | 4,750,000$ | 4,750,000$ | UFA | ||||||
Jakob Chychrun ![]() | D | 27 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ |
Jason Dickinson ![]() | C/LW | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Kailer Yamamoto | RW | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Logan O'Connor ![]() | LW/RW | 29 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Logan Stanley | D | 27 | 1,000,000$ | 1,000,000$ | |||||||
Matthew Knies ![]() | LW | 23 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | ||
Matthew Wood | RW | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Mikhail Sergachev ![]() | D | 27 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |
Philippe Myers | D | 28 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Steven Lorentz ![]() | C/LW | 29 | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | UFA | ||||
Tanner Pearson ![]() | LW | 33 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Tyler Bertuzzi ![]() | LW/RW | 30 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||
Ukko-Pekka Luukkonen ![]() | G | 26 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Perrott | D | 24 | 900,000$ | 900,000$ | RFA | ||||||
Brendan Furry | LW | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Carter Yakemchuk | D | 20 | 0$ | RFA | |||||||
Dmitri Osipov | D | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Dylan Ferguson | G | 27 | 900,000$ | 900,000$ | |||||||
Dylan McIlrath | D | 33 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Eduard Sale | RW | 20 | 886,666$ | 886,666$ | 886,666$ | 886,666$ | RFA | ||||
Fabian Lysell | RW | 22 | 863,333$ | 863,333$ | RFA | ||||||
Givani Smith | LW/RW | 27 | 775,000$ | 775,000$ | |||||||
Ivan Miroshnichenko | LW | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Jack Becker | C | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Jake Elmer | RW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Jeremy Brodeur | G | 29 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Joe Carroll | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Jordan Papirny | G | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Justin Pearson | LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Kirill Tyutyayev | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Kyle MacLean | LW | 26 | 900,000$ | 900,000$ | |||||||
Lucas Johansen | D | 28 | 800,000$ | 800,000$ | |||||||
Lucas Mercuri | C | 23 | 0$ | RFA | |||||||
Luke Rowe | D | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Marc Johnstone | RW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Matt Kessel | D | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
Matthew Strome | LW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Michal Teply | RW | 24 | 800,000$ | 800,000$ | RFA | ||||||
Miko Matikka | C/LW/RW | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Nils Aman | C | 25 | 950,000$ | 950,000$ | |||||||
Vasili Ponomaryov | C | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Ville Heinola | D | 24 | 900,000$ | 900,000$ | RFA | ||||||
Zack MacEwen | C/RW | 29 | 775,000$ | 775,000$ | UFA |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 8 | 2 | 3 | 0.500 | 10 | 16 | 26 | 0 | 0 | 4 | 3 | 3 | 0 | 92 | 23 | 38 | 31 | 0 | 83 | 20 | 19 | 68 | 9 | 3 | 33.33% | 7 | 1 | 85.71% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 74 | 50 | 66 | 21 | 40 | 20 | 50.0% | 10.9% | 90.4% | 101.2 | FUN | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 18 | 3 | 6 | 9 | 0 | 31 | 12 | 10 | 15 | 4 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 19 | 12 | 25 | 8 | 14 | 6 | 25.0% | 5.6% | 80.6% | 86.2 | Unlucky | |
| 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 0 | 1 | 32 | 9 | 15 | 7 | 1 | 42 | 13 | 12 | 25 | 5 | 1 | 20.00% | 6 | 0 | 100.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 22 | 14 | 24 | 7 | 13 | 6 | 50.0% | 12.5% | 92.9% | 105.4 | LUCKY | |
| 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 2 | 0 | 33 | 12 | 8 | 11 | 5 | 32 | 7 | 12 | 14 | 4 | 1 | 25.00% | 6 | 2 | 66.67% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 23 | 15 | 28 | 8 | 13 | 6 | 50.0% | 12.1% | 84.4% | 96.5 | FUN | |
| 5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 66 | 23 | 25 | 18 | 0 | 77 | 22 | 16 | 49 | 7 | 1 | 14.29% | 8 | 0 | 100.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 44 | 30 | 50 | 14 | 24 | 11 | 20.0% | 4.5% | 89.6% | 94.2 | Unlucky | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 3 | 2 | 0 | 0 | 31 | 10 | 14 | 7 | 0 | 50 | 17 | 10 | 27 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 22 | 15 | 26 | 6 | 10 | 5 | 66.7% | 16.1% | 96.0% | 112.1 | LUCKY | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 25 | 8 | 8 | 9 | 0 | 50 | 7 | 13 | 28 | 4 | 3 | 75.00% | 4 | 1 | 75.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 19 | 12 | 27 | 7 | 12 | 6 | 100.0% | 16.0% | 98.0% | 114.0 | LUCKY | |
| 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 29 | 7 | 12 | 10 | 0 | 54 | 13 | 12 | 20 | 4 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 19 | 12 | 28 | 8 | 12 | 5 | 40.0% | 6.9% | 88.9% | 95.8 | Unlucky | |
| 9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 65 | 20 | 13 | 32 | 0 | 70 | 20 | 16 | 57 | 10 | 2 | 20.00% | 7 | 2 | 71.43% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 47 | 33 | 47 | 14 | 25 | 12 | 44.4% | 9.2% | 90.0% | 99.2 | FUN | |
| 10 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 3 | 5 | 2 | 0 | 102 | 40 | 39 | 23 | 0 | 111 | 31 | 20 | 71 | 12 | 3 | 25.00% | 8 | 2 | 75.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 66 | 44 | 74 | 22 | 38 | 18 | 50.0% | 9.8% | 91.9% | 101.7 | LUCKY | |
| 11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 36 | 8 | 15 | 13 | 0 | 40 | 9 | 8 | 24 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 22 | 14 | 25 | 7 | 12 | 6 | 66.7% | 11.1% | 95.0% | 106.1 | LUCKY | |
| 12 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 1 | 1 | 51 | 19 | 10 | 21 | 1 | 84 | 22 | 18 | 40 | 9 | 2 | 22.22% | 8 | 1 | 87.50% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 43 | 29 | 52 | 14 | 24 | 12 | 42.9% | 9.8% | 94.0% | 103.9 | LUCKY | |
| 13 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 8 | -2 | 1 | 0.250 | 6 | 12 | 18 | 0 | 0 | 3 | 2 | 1 | 0 | 47 | 17 | 13 | 17 | 0 | 66 | 15 | 26 | 44 | 3 | 1 | 33.33% | 12 | 3 | 75.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 45 | 29 | 49 | 14 | 25 | 12 | 50.0% | 12.8% | 87.9% | 100.6 | FUN | |
| 14 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 11 | 19 | 0 | 0 | 3 | 3 | 1 | 1 | 52 | 16 | 15 | 18 | 3 | 65 | 19 | 16 | 66 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 40 | 26 | 57 | 15 | 25 | 11 | 60.0% | 15.4% | 92.3% | 107.7 | LUCKY | |
| 15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 32 | 11 | 15 | 6 | 0 | 27 | 4 | 21 | 21 | 4 | 3 | 75.00% | 5 | 1 | 80.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 23 | 15 | 23 | 7 | 12 | 6 | 66.7% | 15.6% | 92.6% | 108.2 | LUCKY | |
| 16 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 3 | 0 | 2 | 1 | 71 | 23 | 18 | 27 | 6 | 79 | 26 | 16 | 51 | 10 | 1 | 10.00% | 8 | 4 | 50.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 48 | 33 | 50 | 15 | 26 | 12 | 62.5% | 8.5% | 91.1% | 99.6 | Unlucky | |
| 17 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 1 | 35 | 6 | 12 | 14 | 7 | 52 | 12 | 6 | 20 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 22 | 15 | 30 | 7 | 12 | 5 | 20.0% | 8.6% | 92.3% | 100.9 | DULL | |
| 18 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 10 | -5 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 66 | 19 | 17 | 27 | 8 | 81 | 26 | 28 | 56 | 6 | 3 | 50.00% | 14 | 4 | 71.43% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 44 | 29 | 55 | 16 | 24 | 11 | 25.0% | 7.6% | 87.7% | 95.2 | Unlucky | |
| 19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 48 | 23 | 11 | 14 | 0 | 29 | 14 | 10 | 17 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 25 | 17 | 23 | 6 | 11 | 5 | 50.0% | 6.3% | 93.1% | 99.4 | DULL | |
| 20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 39 | 9 | 18 | 12 | 0 | 37 | 13 | 6 | 36 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 19 | 12 | 27 | 7 | 13 | 6 | 0.0% | 5.1% | 86.5% | 91.6 | Unlucky | |
| 21 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 1 | 1 | 39 | 15 | 10 | 8 | 6 | 39 | 14 | 12 | 17 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 22 | 15 | 28 | 8 | 13 | 6 | 66.7% | 10.3% | 92.3% | 102.6 | LUCKY | |
| 22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 3 | 0 | 3 | 0 | 49 | 12 | 25 | 12 | 0 | 61 | 19 | 10 | 45 | 7 | 2 | 28.57% | 4 | 0 | 100.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 46 | 31 | 49 | 14 | 24 | 11 | 33.3% | 12.2% | 86.9% | 99.1 | FUN | |
| 23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 40 | 18 | 11 | 11 | 0 | 31 | 14 | 14 | 30 | 3 | 2 | 66.67% | 7 | 0 | 100.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 21 | 13 | 25 | 7 | 12 | 6 | 20.0% | 7.5% | 87.1% | 94.6 | Unlucky | |
| 24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 23 | 7 | 8 | 8 | 0 | 37 | 8 | 11 | 25 | 4 | 1 | 25.00% | 2 | 2 | 0.00% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 22 | 15 | 23 | 7 | 13 | 6 | 33.3% | 13.0% | 83.8% | 96.8 | FUN | |
| 25 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 1 | 3 | 2 | 1 | 78 | 25 | 24 | 26 | 3 | 71 | 24 | 14 | 42 | 10 | 2 | 20.00% | 7 | 1 | 85.71% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 48 | 33 | 46 | 15 | 24 | 12 | 62.5% | 9.0% | 94.4% | 103.3 | LUCKY | |
| _Vs Division | 12 | 6 | 4 | 0 | 0 | 1 | 1 | 0 | 41 | 38 | 3 | 15 | 0.625 | 41 | 71 | 112 | 0 | 0 | 18 | 11 | 11 | 1 | 380 | 136 | 135 | 106 | 6 | 423 | 126 | 113 | 276 | 41 | 12 | 29.27% | 46 | 10 | 78.26% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 278 | 188 | 296 | 86 | 150 | 72 | 50.9% | 10.8% | 91.0% | 101.8 | FUN | |
| _Vs Conference | 24 | 10 | 6 | 0 | 4 | 3 | 1 | 0 | 82 | 71 | 11 | 33 | 0.688 | 82 | 140 | 222 | 0 | 0 | 29 | 26 | 22 | 5 | 751 | 249 | 255 | 231 | 19 | 842 | 242 | 211 | 558 | 87 | 22 | 25.29% | 87 | 17 | 80.46% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 553 | 375 | 598 | 176 | 303 | 149 | 52.6% | 10.9% | 91.6% | 102.5 | LUCKY | |
| _Since Last GM Reset | 38 | 12 | 14 | 0 | 5 | 3 | 1 | 3 | 119 | 130 | -11 | 42 | 0.553 | 119 | 205 | 324 | 0 | 0 | 44 | 36 | 33 | 7 | 1199 | 383 | 400 | 391 | 40 | 1399 | 401 | 356 | 908 | 143 | 39 | 27.27% | 156 | 32 | 79.49% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 856 | 576 | 970 | 283 | 483 | 233 | 44.9% | 9.9% | 90.7% | 100.6 | FUN | |
| Total | 38 | 12 | 14 | 0 | 5 | 3 | 1 | 3 | 119 | 130 | -11 | 42 | 0.553 | 119 | 205 | 324 | 0 | 0 | 44 | 36 | 33 | 7 | 1199 | 383 | 400 | 391 | 40 | 1399 | 401 | 356 | 908 | 143 | 39 | 27.27% | 156 | 32 | 79.49% | 0 | 635 | 1344 | 47.25% | 673 | 1472 | 45.72% | 296 | 616 | 48.05% | 856 | 576 | 970 | 283 | 483 | 233 | 44.9% | 9.9% | 90.7% | 100.6 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 12 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1344 |
| Neutral Zone Start | 616 |
| Defensive Zone Start | 1472 |
| Puck Time | |
|---|---|
| With Puck | 28 |
| Without Puck | 32 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1604 |
| Faceoffs Lost | 1828 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.1 | 9.57 |
| 2nd Period | 20.6 | 20.31 |
| 3rd Period | 30.9 | 30.68 |
| Overtime | 31.9 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.2 | 0.64 |
| 2nd Period | 2.1 | 1.65 |
| 3rd Period | 3.0 | 2.67 |
| Overtime | 3.2 | 2.83 |
| Even Strenght Goal | 80 |
|---|---|
| PP Goal | 39 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 8 | 10 |
| Lost | 8 | 6 |
| Overtime Lost | 2 | 4 |
| PP Attempt | 143 |
|---|---|
| PP Goal | 39 |
| PK Attempt | 156 |
| PK Goal Against | 32 |
| Home | |
|---|---|
| Shots For | 31.6 |
| Shots Against | 36.8 |
| Goals For | 3.1 |
| Goals Against | 3.4 |
| Hits | 23.9 |
| Shots Blocked | 10.6 |
| Pim | 9.4 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Stars2,Jets3 | RECAP | |||||||||||
| 2025-10-12 | @ | Kings3,Jets2 (OT) | RECAP | |||||||||||
| 2025-10-14 | @ | Jets4,Islanders5 (SO) | RECAP | |||||||||||
| 2025-10-17 | @ | Jets1,Flyers6 | RECAP | |||||||||||
| 2025-10-19 | @ | Predators3,Jets2 | RECAP | |||||||||||
| 2025-10-21 | @ | Jets2,Flames3 (OT) | RECAP | |||||||||||
| 2025-10-24 | @ | Kraken1,Jets3 | RECAP | |||||||||||
| 2025-10-25 | @ | Flames1,Jets5 | RECAP | |||||||||||
| 2025-10-27 | @ | Mammoth5,Jets3 | RECAP | |||||||||||
| 2025-10-29 | @ | Jets6,Wild4 | RECAP | |||||||||||
| 2025-10-31 | @ | Blackhawks2,Jets3 | RECAP | |||||||||||
| 2025-11-02 | @ | Penguins4,Jets3 | RECAP | |||||||||||
| 2025-11-05 | @ | Jets3,Kings2 (OT) | RECAP | |||||||||||
| 2025-11-08 | @ | Jets3,Sharks6 | RECAP | |||||||||||
| 2025-11-10 | @ | Jets4,Ducks3 (OT) | RECAP | |||||||||||
| 2025-11-12 | @ | Jets4,Canucks2 | RECAP | |||||||||||
| 2025-11-14 | @ | Jets4,Kraken3 (OT) | RECAP | |||||||||||
| 2025-11-16 | @ | Jets3,Flames4 | RECAP | |||||||||||
| 2025-11-19 | @ | Blue Jackets5,Jets2 | RECAP | |||||||||||
| 2025-11-22 | @ | Hurricanes4,Jets1 | RECAP | |||||||||||
| 2025-11-24 | @ | Wild2,Jets3 | RECAP | |||||||||||
| 2025-11-27 | @ | Jets3,Capitals6 | RECAP | |||||||||||
| 2025-11-29 | @ | Jets2,Hurricanes4 | RECAP | |||||||||||
| 2025-11-30 | @ | Jets4,Predators5 (OT) | RECAP | |||||||||||
| 2025-12-02 | @ | Jets1,Sabres2 (SO) | RECAP | |||||||||||
| 2025-12-04 | @ | Jets2,Canadiens6 | RECAP | |||||||||||
| 2025-12-06 | @ | Sabres8,Jets4 | RECAP | |||||||||||
| 2025-12-07 | @ | Jets4,Oilers3 (OT) | RECAP | |||||||||||
| 2025-12-10 | @ | Stars6,Jets3 | RECAP | |||||||||||
| 2025-12-12 | @ | Bruins4,Jets3 (SO) | RECAP | |||||||||||
| 2025-12-14 | @ | Capitals1,Jets3 | RECAP | |||||||||||
| 2025-12-16 | @ | Senators3,Jets4 (OT) | RECAP | |||||||||||
| 2025-12-18 | @ | Jets5,Blues2 | RECAP | |||||||||||
| 2025-12-20 | @ | Jets5,Avalanche2 | RECAP | |||||||||||
| 2025-12-22 | @ | Jets3,Mammoth2 (SO) | RECAP | |||||||||||
| 2025-12-28 | @ | Wild3,Jets1 | RECAP | |||||||||||
| 2025-12-30 | @ | Oilers2,Jets4 | RECAP | |||||||||||
| 2026-01-01 | @ | Jets4,Red Wings1 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 83,475,000$ | 0$ | 82,171,538$ | 12,025,000$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Bell MTS Centre | |
| City | Winnipeg | ||
| 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 | 103150 | 83141 | 34793 | 69419 | 17141 |
| Attendance PCT | 95.51% | 92.38% | 96.65% | 96.42% | 95.23% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 23 | 17091 - 94.95% | 1,566,131$ | 28,190,359$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 83,475,000$ | 83,475,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 36,534,236$ | 434,766$ | 36,086,342$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 36,021,014$ | 106 | 439,974$ | 46,637,244$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 47,992,160$ | 83,475,000$ | 62,827,927$ | 50,856,781$ |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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| 2026 | ||||||||
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| 2028 | ||||||||
| 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) |
| 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 |
|---|---|---|---|---|---|
| Abram Wiebe | 2022 | 222 | |||
| Artur Cholach | 2021 | 206 | |||
| Austin Burnevik | 2024 | 199 | |||
| Ben Brinkman | 2019 | 167 | |||
| Bryce Pickford | 2025 | 55 | |||
| Charlie Cerrato | 2025 | 72 | |||
| Cooper Simpson | 2025 | 23 | |||
| David Ma | 2020 | 169 | |||
| Kalle Loponen | 2019 | 213 | 5.5 - 3.5 | ||
| Lasse Boelius | 2025 | 53 | |||
| Lucas Ramberg | 2020 | 189 | |||
| Matous Kucharcik | 2025 | 118 | |||
| Sigge Holmgren | 2025 | 200 | |||
| Stepan Zvyagin | 2023 | 210 | |||
| Trevor Hoskin | 2024 | 135 | |||
| Valentin Nussbaumer | 2019 | 190 | |||
| Viktor Eklund | 2025 | 8 | |||
| Vinzenz Rohrer | 2022 | 83 | |||
| Will Reynolds | 2025 | 104 |
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