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Full Scoreboard »» |
Winnipeg Jets 26-27-1, 53pts · 10th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 21 | C | 95.00 | 58 | 33 | 95 | 85 | 70 | 89 | 90 | 83 | 80 | 78 | 91 | 57 | 87 | 73 | 73 | 0 | 53 | 89 | 28 | 9,000,000$/3yrs | |||
![]() | 0 | LW | 99.00 | 65 | 34 | 82 | 70 | 79 | 84 | 90 | 68 | 60 | 77 | 66 | 60 | 67 | 78 | 76 | 0 | 54 | 80 | 31 | 9,500,000$/3yrs | |||
![]() | 0 | LW/RW | 99.00 | 60 | 33 | 97 | 67 | 77 | 81 | 84 | 67 | 58 | 67 | 68 | 62 | 67 | 75 | 75 | 0 | 54 | 77 | 30 | 4,750,000$/2yrs | |||
![]() | 0 | LW | 99.00 | 78 | 36 | 80 | 65 | 83 | 78 | 78 | 65 | 55 | 66 | 67 | 61 | 66 | 61 | 59 | 0 | 55 | 76 | 22 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 40 | 72 | 63 | 77 | 72 | 88 | 68 | 78 | 58 | 72 | 67 | 65 | 70 | 67 | 0 | 55 | 75 | 28 | 900,000$/1yrs | |||
![]() | 10 | C/RW | 100.00 | 63 | 33 | 92 | 61 | 80 | 77 | 87 | 64 | 61 | 62 | 69 | 59 | 66 | 72 | 71 | 0 | 53 | 75 | 28 | 1,250,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 67 | 31 | 87 | 61 | 57 | 79 | 83 | 64 | 59 | 63 | 65 | 65 | 64 | 68 | 67 | 0 | 54 | 74 | 26 | 1,500,000$/1yrs | |||
![]() | 34 | LW/RW | 100.00 | 79 | 59 | 59 | 57 | 95 | 75 | 81 | 61 | 81 | 59 | 64 | 74 | 62 | 74 | 70 | 0 | 54 | 74 | 29 | 1,500,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 90 | 55 | 74 | 55 | 88 | 73 | 86 | 58 | 59 | 59 | 59 | 62 | 58 | 84 | 82 | 0 | 49 | 72 | 35 | 2,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 83 | 32 | 90 | 62 | 74 | 76 | 68 | 59 | 55 | 63 | 60 | 57 | 60 | 58 | 57 | 0 | 54 | 72 | 21 | 950,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 72 | 38 | 80 | 61 | 68 | 77 | 78 | 61 | 61 | 60 | 64 | 56 | 63 | 62 | 60 | 0 | 44 | 71 | 23 | 875,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 78 | 39 | 78 | 58 | 80 | 73 | 79 | 58 | 61 | 58 | 61 | 57 | 59 | 62 | 60 | 0 | 60 | 70 | 23 | 1,000,000$/2yrs | |||
![]() | 98 | D | 96.00 | 73 | 36 | 79 | 77 | 84 | 95 | 83 | 73 | 30 | 82 | 62 | 73 | 67 | 69 | 67 | 0 | 52 | 86 | 26 | 8,500,000$/7yrs | |||
![]() | 6 | D | 99.00 | 67 | 34 | 76 | 68 | 86 | 93 | 85 | 63 | 30 | 72 | 68 | 67 | 65 | 69 | 76 | 0 | 54 | 80 | 26 | 4,600,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 33 | 86 | 59 | 77 | 89 | 86 | 59 | 30 | 64 | 56 | 68 | 58 | 67 | 65 | 0 | 54 | 74 | 25 | 3,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 33 | 93 | 57 | 75 | 85 | 86 | 57 | 30 | 62 | 59 | 67 | 58 | 81 | 80 | 0 | 54 | 74 | 33 | 5,950,000$/1yrs | |||
![]() | 0 | D | 99.00 | 74 | 35 | 82 | 55 | 79 | 83 | 84 | 55 | 30 | 61 | 60 | 62 | 57 | 78 | 76 | 0 | 54 | 73 | 32 | 1,900,000$/1yrs | |||
![]() | 25 | D | 100.00 | 62 | 39 | 87 | 56 | 75 | 67 | 88 | 52 | 30 | 62 | 50 | 70 | 56 | 72 | 70 | 0 | 56 | 71 | 29 | 800,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 92 | 33 | 83 | 55 | 81 | 75 | 85 | 59 | 59 | 60 | 61 | 78 | 60 | 87 | 99 | 0 | 19 | 76 | 37 | 1,700,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 72 | 34 | 84 | 63 | 71 | 78 | 84 | 65 | 61 | 66 | 66 | 62 | 65 | 68 | 67 | 0 | 20 | 75 | 26 | 2,500,000$/1yrs | |||
![]() | 23 | RW | 100.00 | 66 | 38 | 86 | 65 | 70 | 72 | 60 | 63 | 50 | 58 | 58 | 65 | 66 | 67 | 68 | 0 | 19 | 72 | 26 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 38 | 93 | 53 | 71 | 66 | 87 | 50 | 30 | 58 | 49 | 73 | 54 | 77 | 76 | 0 | 20 | 70 | 32 | 775,000$/1yrs | |||
TEAM AVERAGE | 99.36 | 71 | 37 | 83 | 62 | 77 | 79 | 83 | 62 | 52 | 64 | 63 | 65 | 63 | 71 | 71 | 0 | 47 | 75 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 33 | 100.00 | 74 | 72 | 72 | 83 | 69 | 77 | 76 | 74 | 77 | 75 | 75 | 69 | 69 | 0 | 39 | 79 | 28 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 94.00 | 87 | 90 | 79 | 89 | 81 | 75 | 83 | 85 | 82 | 85 | 83 | 68 | 72 | 0 | 51 | 86 | 25 | 5,000,000$/4yrs |
![]() | 0 | 100.00 | 75 | 86 | 77 | 85 | 77 | 73 | 79 | 83 | 80 | 84 | 79 | 74 | 78 | 0 | 58 | 84 | 30 | 4,000,000$/1yrs |
![]() | 33 | 100.00 | 64 | 66 | 67 | 84 | 63 | 62 | 64 | 63 | 62 | 64 | 63 | 64 | 71 | 0 | 33 | 70 | 26 | 775,000$/1yrs |
TEAM AVERAGE | 98.50 | 75 | 79 | 74 | 85 | 73 | 72 | 76 | 76 | 75 | 77 | 75 | 69 | 73 | 0 | 45 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Craig Berube | 82 | 78 | 83 | 94 | 81 | 75 | 79 | CAN | 57 | 5 | 1,000,000$ |
General Manager | Nathan Mourot |
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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 |
# | 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 | 54 | 30 | 30 | 60 | 12 | 0 | 0 | 36 | 216 | 70 | 138 | 13.89% | 11 | 22.12 | 10 | 5 | 15 | 168 | 0 | 0 | 0 | 247 | 4 | 0 | 49.01% | 1671 | 0 | 0 | 0 | 1 | 1.00 | 1 | 4 | |
2 | Mikhail Sergachev | 98 | D | 54 | 8 | 37 | 45 | 4 | 82 | 0 | 134 | 85 | 17 | 53 | 9.41% | 85 | 24.72 | 7 | 4 | 11 | 145 | 0 | 0 | 0 | 167 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
3 | Jonathan Huberdeau | 0 | LW | 54 | 16 | 27 | 43 | 12 | 10 | 0 | 84 | 144 | 38 | 103 | 11.11% | 11 | 18.10 | 2 | 15 | 17 | 167 | 0 | 0 | 0 | 46 | 2 | 0 | 45.53% | 123 | 0 | 0 | 0 | 0 | 0.88 | 2 | 3 | |
4 | Jakob Chychrun | 6 | D | 54 | 8 | 28 | 36 | 4 | 56 | 0 | 84 | 111 | 26 | 59 | 7.21% | 73 | 24.05 | 4 | 12 | 16 | 169 | 0 | 0 | 0 | 127 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
5 | Matthew Knies | 0 | LW | 54 | 9 | 20 | 29 | 14 | 53 | 5 | 108 | 85 | 15 | 63 | 10.59% | 9 | 16.38 | 3 | 9 | 12 | 146 | 0 | 0 | 0 | 0 | 1 | 0 | 35.48% | 62 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
6 | Adam Gaudette | 0 | C | 54 | 14 | 14 | 28 | -12 | 29 | 5 | 106 | 119 | 40 | 85 | 11.76% | 7 | 17.01 | 2 | 9 | 11 | 149 | 1 | 0 | 1 | 125 | 3 | 2 | 53.17% | 457 | 0 | 0 | 0 | 0 | 0.61 | 0 | 1 | |
7 | Kailer Yamamoto | 0 | RW | 54 | 12 | 16 | 28 | -14 | 18 | 0 | 32 | 127 | 31 | 101 | 9.45% | 8 | 16.45 | 6 | 6 | 12 | 149 | 0 | 0 | 0 | 112 | 1 | 2 | 36.24% | 149 | 0 | 0 | 0 | 0 | 0.63 | 1 | 1 | |
8 | Henri Jokiharju | 0 | D | 54 | 3 | 23 | 26 | -8 | 40 | 0 | 76 | 49 | 21 | 39 | 6.12% | 72 | 19.77 | 2 | 6 | 8 | 150 | 0 | 1 | 1 | 208 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
9 | Ilya Mikheyev | 0 | LW/RW | 54 | 10 | 12 | 22 | 3 | 0 | 0 | 24 | 109 | 42 | 101 | 9.17% | 12 | 18.47 | 3 | 6 | 9 | 168 | 0 | 1 | 1 | 244 | 1 | 1 | 51.69% | 89 | 0 | 0 | 0 | 0 | 0.44 | 2 | 4 | |
10 | Brogan Rafferty | 25 | D | 50 | 4 | 14 | 18 | -11 | 26 | 10 | 46 | 23 | 14 | 20 | 17.39% | 65 | 15.04 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
11 | Michael McCarron | 34 | LW/RW | 54 | 9 | 7 | 16 | -3 | 32 | 0 | 84 | 73 | 30 | 49 | 12.33% | 9 | 10.79 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 8 | 2 | 1 | 50.00% | 46 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
12 | Colin Miller | 0 | D | 54 | 6 | 8 | 14 | -14 | 54 | 0 | 121 | 55 | 16 | 32 | 10.91% | 68 | 21.78 | 2 | 3 | 5 | 171 | 0 | 0 | 0 | 180 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
13 | Michael Amadio | 10 | C/RW | 51 | 4 | 6 | 10 | -9 | 4 | 0 | 12 | 52 | 15 | 42 | 7.69% | 3 | 11.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 43.70% | 675 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
14 | Nate Schmidt | 0 | D | 54 | 0 | 10 | 10 | -10 | 20 | 0 | 36 | 17 | 6 | 11 | 0.00% | 63 | 15.09 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 107 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
15 | Matt Martin | 0 | LW/RW | 49 | 3 | 5 | 8 | -20 | 24 | 0 | 54 | 36 | 11 | 36 | 8.33% | 8 | 10.44 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 46.15% | 26 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
16 | Ivan Miroshnichenko | 0 | LW | 50 | 3 | 5 | 8 | -21 | 8 | 0 | 26 | 47 | 15 | 39 | 6.38% | 3 | 10.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 41.95% | 410 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
17 | Dylan Holloway | 0 | C/LW/RW | 13 | 3 | 1 | 4 | 3 | 15 | 5 | 20 | 18 | 4 | 6 | 16.67% | 0 | 11.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 45.45% | 209 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
18 | Alex Laferriere | 0 | RW | 13 | 1 | 3 | 4 | 3 | 6 | 0 | 10 | 14 | 1 | 10 | 7.14% | 2 | 11.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 41.67% | 12 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
19 | Will Bitten | 23 | RW | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 5 | 0 | 1 | 0.00% | 0 | 11.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36% | 33 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
20 | Cal Clutterbuck | 0 | RW | 3 | 0 | 0 | 0 | -2 | 0 | 0 | 5 | 3 | 2 | 2 | 0.00% | 2 | 12.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 40 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 880 | 143 | 267 | 410 | -69 | 477 | 25 | 1099 | 1388 | 414 | 990 | 10.30% | 511 | 16.89 | 41 | 75 | 116 | 1605 | 1 | 2 | 3 | 1582 | 22 | 7 | 46.70% | 4002 | 0 | 0 | 0 | 1 | 0.55 | 6 | 13 |
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 | 41 | 19 | 18 | 1 | 0.919 | 2.72 | 2339 | 4 | 0 | 106 | 1311 | 0 | 0 | 1 | 0.875 | 8 | 38 | 8 | 5 | 1 | 2 | |
2 | Ville Husso | 21 | 10 | 7 | 1 | 0.906 | 3.28 | 1152 | 2 | 0 | 63 | 668 | 0 | 1 | 1 | 0.750 | 4 | 19 | 29 | 2 | 1 | 1 | |
3 | Ales Stezka | 10 | 3 | 5 | 0 | 0.878 | 4.21 | 470 | 2 | 0 | 33 | 271 | 0 | 0 | 0 | 1.000 | 3 | 8 | 30 | 0 | 0 | 0 | |
Team Total or Average | 72 | 32 | 30 | 2 | 0.910 | 3.06 | 3962 | 8 | 0 | 202 | 2250 | 0 | 1 | 2 | 0.867 | 15 | 65 | 67 | 7 | 2 | 3 |
Projected Total Cap Hit | 70,081,639$ |
Projected Cap Space | 17,918,361$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 43,401,139$ |
Players In Salary Cap | 26 |
LTIR Players | 1 |
Jets Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Gaudette ![]() | C | 28 | 900,000$ | 900,000$ | UFA | ||||||
Ales Stezka ![]() | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Alex Laferriere ![]() | RW | 23 | 875,000$ | 875,000$ | RFA | ||||||
Brayden Point ![]() | C | 28 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||||
Brogan Rafferty ![]() | D | 29 | 800,000$ | 800,000$ | UFA | ||||||
Cal Clutterbuck ![]() | RW | 37 | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | |||||
Colin Miller ![]() | D | 32 | 1,900,000$ | 1,900,000$ | UFA | ||||||
Dillon Dube ![]() | C/LW/RW | 26 | 2,500,000$ | 2,500,000$ | |||||||
Dylan Holloway ![]() | C/LW/RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Ethan Prow ![]() | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Henri Jokiharju ![]() | D | 25 | 3,750,000$ | 3,750,000$ | |||||||
Ilya Mikheyev ![]() | LW/RW | 30 | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||||
Ivan Miroshnichenko ![]() | LW | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Jakob Chychrun ![]() | D | 26 | 4,600,000$ | 4,600,000$ | |||||||
Jonathan Huberdeau ![]() | LW | 31 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||
Kaden Fulcher ![]() | G | 26 | 775,000$ | 775,000$ | |||||||
Kailer Yamamoto ![]() | RW | 26 | 1,500,000$ | 1,500,000$ | |||||||
Matt Martin ![]() | LW/RW | 35 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Matthew Knies ![]() | LW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Michael Amadio ![]() | C/RW | 28 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Michael McCarron ![]() | LW/RW | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Mikhail Sergachev ![]() | D | 26 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA |
Nate Schmidt ![]() | D | 33 | 5,950,000$ | 5,950,000$ | UFA | ||||||
Ukko-Pekka Luukkonen ![]() ![]() | G | 25 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Ville Husso | G | 30 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Will Bitten ![]() | RW | 26 | 800,000$ | 800,000$ |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Cole Bardreau ![]() | C | 31 | 775,000$ | 775,000$ | UFA | ||||||
Dylan Ferguson ![]() | G | 26 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Dylan McIlrath ![]() | D | 32 | 800,000$ | 800,000$ | UFA | ||||||
Eduard Sale ![]() | RW | 19 | 775,000$ | 775,000$ | RFA | ||||||
Erik Kallgren ![]() | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Fabian Lysell ![]() | RW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Fyodor Svechkov ![]() | C | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Gage Quinney ![]() | C/LW/RW | 29 | 775,000$ | 775,000$ | UFA | ||||||
Givani Smith ![]() | LW/RW | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Jayson Megna ![]() | C | 35 | 775,000$ | 775,000$ | UFA | ||||||
Josh Maniscalco ![]() | D | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Kevin Hancock ![]() | LW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Kirill Tyutyayev ![]() | LW | 24 | 0$ | RFA | |||||||
Kyle MacLean ![]() | LW | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Linus Karlsson ![]() | C | 25 | 925,000$ | 925,000$ | ![]() | ||||||
Logan Stanley ![]() | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Lucas Johansen ![]() | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Magnus Hellberg ![]() | G | 33 | 775,000$ | 775,000$ | UFA | ||||||
Matthew Strome ![]() | LW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Michal Teply ![]() | RW | 23 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Nils Aman ![]() | C | 25 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Robin Lehner ![]() | G | 33 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Sam Dickinson ![]() | D | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Tobie Paquette-Bisson ![]() ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Tuukka Tieksola ![]() | RW | 23 | 0$ | RFA | |||||||
Vasili Ponomaryov ![]() | C | 22 | 795,000$ | 795,000$ | RFA | ||||||
Ville Heinola ![]() | D | 23 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Zack MacEwen ![]() | C/RW | 28 | 775,000$ | 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 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 4 | 0.667 | 13 | 23 | 36 | 0 | 0 | 8 | 2 | 3 | 0 | 94 | 45 | 21 | 28 | 0 | 129 | 28 | 19 | 73 | 7 | 3 | 42.86% | 7 | 1 | 85.71% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 65 | 44 | 76 | 22 | 37 | 18 | 62.5% | 13.8% | 94.6% | 108.4 | LUCKY | |
2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 1 | 2 | 1 | 24 | 5 | 8 | 10 | 3 | 37 | 10 | 6 | 24 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 21 | 14 | 29 | 8 | 14 | 6 | 57.1% | 16.7% | 91.9% | 108.6 | LUCKY | |
3 | 4 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 11 | 10 | 1 | 6 | 0.750 | 11 | 18 | 29 | 0 | 0 | 3 | 6 | 0 | 4 | 108 | 47 | 39 | 19 | 11 | 131 | 49 | 44 | 83 | 17 | 1 | 5.88% | 21 | 3 | 85.71% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 96 | 65 | 102 | 30 | 51 | 25 | 58.8% | 10.2% | 92.4% | 102.6 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 21 | 7 | 10 | 4 | 0 | 37 | 12 | 17 | 24 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 21 | 14 | 25 | 7 | 12 | 5 | 33.3% | 9.5% | 86.5% | 96.0 | FUN | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 3 | 0 | 52 | 12 | 18 | 22 | 0 | 64 | 10 | 14 | 38 | 3 | 1 | 33.33% | 7 | 2 | 71.43% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 40 | 27 | 54 | 14 | 25 | 11 | 50.0% | 11.5% | 89.1% | 100.6 | FUN | |
6 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 0 | 5 | 1 | 1 | 57 | 24 | 16 | 14 | 3 | 61 | 12 | 20 | 47 | 9 | 3 | 33.33% | 10 | 2 | 80.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 42 | 27 | 55 | 15 | 25 | 12 | 80.0% | 12.3% | 95.1% | 107.4 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 33 | 15 | 9 | 9 | 0 | 37 | 11 | 4 | 19 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 24 | 17 | 24 | 7 | 11 | 5 | 33.3% | 6.1% | 89.2% | 95.2 | Unlucky | |
8 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.333 | 9 | 15 | 24 | 1 | 0 | 2 | 2 | 5 | 0 | 94 | 33 | 20 | 41 | 0 | 90 | 32 | 31 | 67 | 11 | 5 | 45.45% | 13 | 2 | 84.62% | 1 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 71 | 49 | 71 | 22 | 37 | 18 | 33.3% | 9.6% | 88.9% | 98.5 | FUN | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 40 | 10 | 14 | 16 | 0 | 45 | 12 | 9 | 20 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 23 | 17 | 25 | 6 | 11 | 5 | 57.1% | 12.5% | 91.1% | 103.6 | Unlucky | |
10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 48 | 11 | 15 | 22 | 0 | 85 | 28 | 30 | 43 | 7 | 1 | 14.29% | 14 | 2 | 85.71% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 40 | 25 | 54 | 15 | 25 | 11 | 36.4% | 10.4% | 89.4% | 99.8 | FUN | |
11 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 8 | 5 | 6 | 1.000 | 13 | 24 | 37 | 0 | 0 | 7 | 2 | 4 | 0 | 115 | 39 | 36 | 40 | 0 | 79 | 34 | 39 | 59 | 18 | 6 | 33.33% | 11 | 4 | 63.64% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 77 | 54 | 64 | 21 | 37 | 19 | 63.6% | 11.3% | 89.9% | 101.2 | FUN | |
12 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 4 | 2 | 0 | 1 | 54 | 21 | 16 | 16 | 4 | 73 | 22 | 20 | 39 | 6 | 1 | 16.67% | 8 | 2 | 75.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 44 | 29 | 52 | 15 | 27 | 13 | 50.0% | 13.0% | 89.0% | 102.0 | FUN | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 34 | 14 | 8 | 12 | 0 | 32 | 4 | 9 | 32 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 22 | 13 | 23 | 9 | 14 | 6 | 50.0% | 5.9% | 96.9% | 102.8 | DULL | |
14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 46 | 10 | 20 | 16 | 0 | 57 | 17 | 14 | 43 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 37 | 24 | 56 | 16 | 25 | 11 | 16.7% | 2.2% | 91.2% | 93.4 | DULL | |
15 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 13 | -7 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 3 | 0 | 78 | 24 | 28 | 26 | 0 | 133 | 28 | 41 | 69 | 12 | 0 | 0.00% | 18 | 6 | 66.67% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 65 | 42 | 77 | 22 | 37 | 18 | 46.2% | 7.7% | 90.2% | 97.9 | Unlucky | |
16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 49 | 10 | 23 | 16 | 0 | 84 | 26 | 31 | 54 | 3 | 1 | 33.33% | 13 | 4 | 69.23% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 35 | 22 | 59 | 14 | 25 | 11 | 25.0% | 4.1% | 91.7% | 95.7 | DULL | |
17 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 34 | 14 | 7 | 12 | 1 | 27 | 12 | 14 | 19 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 25 | 17 | 26 | 7 | 13 | 6 | 50.0% | 8.8% | 85.2% | 94.0 | Unlucky | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 3 | 0 | 0 | 43 | 13 | 20 | 10 | 0 | 79 | 25 | 16 | 34 | 9 | 2 | 22.22% | 7 | 3 | 57.14% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 40 | 27 | 53 | 17 | 25 | 11 | 33.3% | 11.6% | 88.6% | 100.2 | FUN | |
19 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 2 | 2 | 2 | 1 | 46 | 10 | 8 | 24 | 4 | 64 | 15 | 20 | 51 | 9 | 3 | 33.33% | 9 | 0 | 100.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 42 | 28 | 52 | 15 | 26 | 13 | 44.4% | 15.2% | 92.2% | 107.4 | LUCKY | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 4 | 2 | 1 | 0 | 48 | 16 | 12 | 20 | 0 | 79 | 20 | 16 | 37 | 7 | 1 | 14.29% | 8 | 0 | 100.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 42 | 28 | 52 | 14 | 24 | 11 | 42.9% | 14.6% | 89.9% | 104.5 | FUN | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 3 | 2 | 1 | 0 | 54 | 16 | 27 | 11 | 0 | 74 | 13 | 14 | 42 | 7 | 3 | 42.86% | 7 | 0 | 100.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 41 | 27 | 53 | 14 | 24 | 12 | 50.0% | 11.1% | 95.9% | 107.1 | LUCKY | |
22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 3 | 3 | 0 | 45 | 8 | 15 | 22 | 0 | 50 | 18 | 8 | 39 | 8 | 3 | 37.50% | 4 | 1 | 75.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 44 | 29 | 49 | 16 | 26 | 13 | 62.5% | 17.8% | 92.0% | 109.8 | LUCKY | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 8 | 13 | 1 | 0 | 4 | 1 | 0 | 0 | 55 | 20 | 19 | 16 | 0 | 64 | 16 | 16 | 38 | 9 | 1 | 11.11% | 8 | 2 | 75.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 46 | 31 | 48 | 13 | 25 | 12 | 33.3% | 9.1% | 84.4% | 93.5 | FUN | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 0 | 52 | 12 | 15 | 25 | 0 | 71 | 17 | 22 | 43 | 8 | 1 | 12.50% | 10 | 2 | 80.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 42 | 28 | 51 | 14 | 25 | 12 | 62.5% | 11.5% | 93.0% | 104.5 | LUCKY | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 3 | 2 | 1 | 0 | 52 | 15 | 14 | 23 | 0 | 53 | 17 | 26 | 40 | 9 | 2 | 22.22% | 13 | 2 | 84.62% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 42 | 27 | 53 | 14 | 24 | 11 | 66.7% | 11.5% | 92.5% | 104.0 | LUCKY | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 38 | 14 | 12 | 12 | 0 | 57 | 23 | 20 | 32 | 4 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 45 | 30 | 48 | 15 | 26 | 12 | 44.4% | 10.5% | 91.2% | 101.8 | LUCKY | |
27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 64 | 26 | 29 | 9 | 0 | 72 | 19 | 16 | 39 | 10 | 1 | 10.00% | 8 | 0 | 100.00% | 0 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 46 | 32 | 46 | 14 | 26 | 12 | 22.2% | 4.7% | 90.3% | 95.0 | Unlucky | |
_Vs Division | 19 | 7 | 10 | 0 | 0 | 0 | 2 | 0 | 53 | 59 | -6 | 18 | 0.474 | 53 | 93 | 146 | 1 | 0 | 18 | 18 | 15 | 4 | 529 | 174 | 178 | 174 | 11 | 619 | 203 | 193 | 394 | 78 | 17 | 21.79% | 79 | 19 | 75.95% | 1 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 433 | 292 | 475 | 146 | 241 | 117 | 47.4% | 10.0% | 90.5% | 100.5 | FUN | |
_Vs Conference | 34 | 15 | 17 | 0 | 0 | 0 | 2 | 0 | 97 | 99 | -2 | 34 | 0.500 | 97 | 177 | 274 | 1 | 0 | 41 | 29 | 25 | 4 | 953 | 325 | 318 | 307 | 11 | 1166 | 347 | 336 | 715 | 130 | 29 | 22.31% | 142 | 25 | 82.39% | 1 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 761 | 511 | 857 | 258 | 431 | 209 | 47.9% | 10.2% | 91.5% | 101.7 | LUCKY | |
_Since Last GM Reset | 54 | 20 | 27 | 0 | 2 | 1 | 4 | 0 | 155 | 168 | -13 | 53 | 0.491 | 155 | 276 | 431 | 2 | 0 | 62 | 50 | 37 | 8 | 1478 | 491 | 479 | 495 | 26 | 1864 | 530 | 536 | 1148 | 196 | 41 | 20.92% | 230 | 41 | 82.17% | 1 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 1191 | 799 | 1390 | 407 | 687 | 333 | 47.3% | 10.5% | 91.0% | 101.5 | FUN | |
Total | 54 | 20 | 27 | 0 | 2 | 1 | 4 | 0 | 155 | 168 | -13 | 53 | 0.491 | 155 | 276 | 431 | 2 | 0 | 62 | 50 | 37 | 8 | 1478 | 491 | 479 | 495 | 26 | 1864 | 530 | 536 | 1148 | 196 | 41 | 20.92% | 230 | 41 | 82.17% | 1 | 763 | 1671 | 45.66% | 987 | 2025 | 48.74% | 384 | 837 | 45.88% | 1191 | 799 | 1390 | 407 | 687 | 333 | 47.3% | 10.5% | 91.0% | 101.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 1671 |
Neutral Zone Start | 837 |
Defensive Zone Start | 2025 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2134 |
Faceoffs Lost | 2399 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.1 | 9.57 |
2nd Period | 18.0 | 20.31 |
3rd Period | 27.1 | 30.68 |
Overtime | 27.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 111 |
---|---|
PP Goal | 41 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 15 | 11 |
Lost | 13 | 14 |
Overtime Lost | 0 | 1 |
PP Attempt | 196 |
---|---|
PP Goal | 41 |
PK Attempt | 230 |
PK Goal Against | 41 |
Home | |
---|---|
Shots For | 27.4 |
Shots Against | 34.5 |
Goals For | 2.9 |
Goals Against | 3.1 |
Hits | 21.3 |
Shots Blocked | 9.8 |
Pim | 9.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-11 | @ | Jets2,Oilers1 | RECAP | |||||||||||
2024-10-13 | @ | Blackhawks4,Jets2 | RECAP | |||||||||||
2024-10-15 | @ | Wild1,Jets3 | RECAP | |||||||||||
2024-10-20 | @ | Sharks2,Jets5 | RECAP | |||||||||||
2024-10-22 | @ | Penguins2,Jets4 | RECAP | |||||||||||
2024-10-24 | @ | Jets0,Blues2 | RECAP | |||||||||||
2024-10-26 | @ | Jets0,Kraken3 | RECAP | |||||||||||
2024-10-28 | @ | Jets3,Flames4 | RECAP | |||||||||||
2024-10-30 | @ | Maple Leafs4,Jets2 | RECAP | |||||||||||
2024-11-01 | @ | Jets6,Red Wings5 | RECAP | |||||||||||
2024-11-03 | @ | Jets5,Blue Jackets3 | RECAP | |||||||||||
2024-11-05 | @ | Lightning5,Jets3 | RECAP | |||||||||||
2024-11-07 | @ | Hockey Club5,Jets1 | RECAP | |||||||||||
2024-11-09 | @ | Avalanche3,Jets4 (SO) | RECAP | |||||||||||
2024-11-11 | @ | Stars2,Jets3 | RECAP | |||||||||||
2024-11-14 | @ | Jets2,Rangers5 | RECAP | |||||||||||
2024-11-16 | @ | Jets4,Lightning3 (SO) | RECAP | |||||||||||
2024-11-18 | @ | Jets4,Panthers3 (OT) | RECAP | |||||||||||
2024-11-21 | @ | Panthers2,Jets3 | RECAP | |||||||||||
2024-11-24 | @ | Jets2,Penguins3 | RECAP | |||||||||||
2024-11-25 | @ | Jets6,Predators3 | RECAP | |||||||||||
2024-11-27 | @ | Jets3,Wild4 | RECAP | |||||||||||
2024-11-29 | @ | Jets4,Kings6 | RECAP | |||||||||||
2024-12-01 | @ | Jets3,Golden Knights2 | RECAP | |||||||||||
2024-12-03 | @ | Jets5,Stars2 | RECAP | |||||||||||
2024-12-05 | @ | Blues3,Jets1 | RECAP | |||||||||||
2024-12-07 | @ | Jets3,Sabres4 (OT) | RECAP | |||||||||||
2024-12-09 | @ | Jets3,Blackhawks5 | RECAP | |||||||||||
2024-12-10 | @ | Blue Jackets5,Jets2 | RECAP | |||||||||||
2024-12-12 | @ | Bruins4,Jets1 | RECAP | |||||||||||
2024-12-14 | @ | Golden Knights3,Jets1 | RECAP | |||||||||||
2024-12-16 | @ | Canadiens2,Jets3 (OT) | RECAP | |||||||||||
2024-12-19 | @ | Jets1,Sharks2 | RECAP | |||||||||||
2024-12-20 | @ | Jets3,Ducks2 | RECAP | |||||||||||
2024-12-23 | @ | Wild5,Jets3 | RECAP | |||||||||||
2024-12-25 | @ | Jets3,Maple Leafs6 | RECAP | |||||||||||
2024-12-30 | @ | Senators3,Jets4 (SO) | RECAP | |||||||||||
2025-01-01 | @ | Predators3,Jets4 | RECAP | |||||||||||
2025-01-02 | @ | Jets3,Avalanche5 | RECAP | |||||||||||
2025-01-04 | @ | Ducks1,Jets3 | RECAP | |||||||||||
2025-01-06 | @ | Red Wings2,Jets0 | RECAP | |||||||||||
2025-01-09 | @ | Predators2,Jets3 | RECAP | |||||||||||
2025-01-12 | @ | Kings3,Jets1 | RECAP | |||||||||||
2025-01-13 | @ | Avalanche1,Jets2 | RECAP | |||||||||||
2025-01-16 | @ | Canucks4,Jets5 | RECAP | |||||||||||
2025-01-18 | @ | Kraken4,Jets3 | RECAP | |||||||||||
2025-01-20 | @ | Flames2,Jets6 | RECAP | |||||||||||
2025-01-22 | @ | Jets2,Hockey Club4 | RECAP | |||||||||||
2025-01-24 | @ | Jets2,Avalanche1 (SO) | RECAP | |||||||||||
2025-01-26 | @ | Hockey Club4,Jets3 | RECAP | |||||||||||
2025-01-28 | @ | Flames1,Jets4 | RECAP | |||||||||||
2025-01-30 | @ | Jets4,Canadiens1 | RECAP | |||||||||||
2025-02-01 | @ | Jets1,Bruins3 | RECAP | |||||||||||
2025-02-03 | @ | Jets2,Capitals4 | RECAP | |||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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2025-03-11 | @ | |||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
70,975,000$ | 0$ | 70,081,639$ | 17,025,000$ |
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 | 160574 | 133349 | 52441 | 106524 | 26330 |
Attendance PCT | 95.58% | 95.25% | 93.64% | 95.11% | 94.04% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
13 | 17115 - 95.08% | 1,570,348$ | 43,969,737$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
70,975,000$ | 70,975,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
45,140,949$ | 355,740$ | 43,401,139$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
20,414,521$ | 75 | 367,219$ | 27,541,425$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
28,383,164$ | 70,975,000$ | 82,494,985$ | 74,526,342$ |
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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 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
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2029 |
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 |
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 | |||
Carter Yakemchuk | 2024 | 12 | |||
David Ma | 2020 | 169 | |||
Gage Alexander | 2021 | 150 | |||
Kalle Loponen | 2019 | 213 | 5.5 - 3.5 | ||
Lucas Mercuri | |||||
Lucas Ramberg | 2020 | 189 | |||
Matthew Wood | 2023 | 14 | |||
Maxim Masse | 2024 | 39 | |||
Miko Matikka | 2022 | 74 | |||
Ryan Leonard | 2023 | 7 | |||
Stepan Zvyagin | 2023 | 210 | |||
Trevor Hoskin | 2024 | 135 | |||
Valentin Nussbaumer | 2019 | 190 |
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