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Full Scoreboard » |
Winnipeg Jets 6-6-0, 12pts |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 25 | LW/RW | 100.00 | 81 | 83 | 55 | 65 | 94 | 74 | 80 | 62 | 57 | 60 | 61 | 80 | 58 | 76 | 73 | 51 | 75 | 0 | 33 | 785,000$/1yrs | |||
![]() | 17 | LW/RW | 100.00 | 60 | 34 | 95 | 73 | 69 | 82 | 84 | 72 | 52 | 64 | 74 | 62 | 73 | 71 | 72 | 40 | 75 | 0 | 29 | 4,500,000$/3yrs | |||
![]() | 18 | C/LW | 100.00 | 76 | 38 | 93 | 66 | 90 | 77 | 82 | 63 | 78 | 60 | 61 | 75 | 62 | 69 | 71 | 41 | 75 | 0 | 29 | 1,275,000$/1yrs | |||
![]() | 68 | LW | 100.00 | 72 | 38 | 89 | 70 | 73 | 86 | 82 | 67 | 52 | 72 | 65 | 66 | 70 | 81 | 74 | 29 | 75 | 0 | 34 | 6,200,000$/2yrs | |||
![]() | 91 | C/LW/RW | 100.00 | 68 | 33 | 89 | 76 | 65 | 86 | 83 | 74 | 77 | 72 | 72 | 63 | 73 | 81 | 75 | 23 | 75 | 0 | 34 | 3,700,000$/1yrs | |||
![]() | 23 | LW/RW | 100.00 | 64 | 34 | 94 | 67 | 72 | 82 | 79 | 65 | 59 | 62 | 63 | 77 | 64 | 79 | 73 | 43 | 75 | 0 | 32 | 900,000$/1yrs | |||
![]() | 14 | LW/RW | 100.00 | 63 | 39 | 77 | 75 | 72 | 86 | 79 | 70 | 62 | 66 | 73 | 63 | 74 | 70 | 71 | 72 | 75 | 0 | 29 | 1,275,000$/1yrs | |||
![]() | 12 | C | 100.00 | 71 | 40 | 88 | 66 | 86 | 82 | 89 | 65 | 85 | 62 | 63 | 86 | 64 | 76 | 73 | 68 | 75 | 0 | 31 | 3,250,000$/1yrs | |||
![]() | 9 | LW/RW | 100.00 | 65 | 39 | 87 | 76 | 63 | 85 | 90 | 75 | 53 | 74 | 71 | 64 | 72 | 73 | 70 | 49 | 75 | 0 | 29 | 4,975,000$/2yrs | |||
![]() | 11 | C/RW | 100.00 | 79 | 75 | 69 | 67 | 74 | 86 | 80 | 64 | 76 | 62 | 65 | 80 | 63 | 69 | 68 | 71 | 75 | 0 | 27 | 2,775,000$/1yrs | |||
![]() | 80 | D | 100.00 | 88 | 83 | 71 | 62 | 98 | 87 | 78 | 58 | 30 | 71 | 54 | 76 | 47 | 73 | 75 | 50 | 75 | 0 | 33 | 1,175,000$/1yrs | |||
![]() | 19 | D | 100.00 | 68 | 40 | 76 | 78 | 98 | 92 | 79 | 77 | 30 | 87 | 80 | 67 | 62 | 80 | 75 | 67 | 75 | 0 | 31 | 8,000,000$/4yrs | |||
![]() | 28 | D | 100.00 | 74 | 72 | 74 | 63 | 90 | 82 | 72 | 58 | 30 | 60 | 55 | 81 | 48 | 79 | 75 | 33 | 75 | 0 | 36 | 1,150,000$/1yrs | |||
![]() | 27 | D | 100.00 | 71 | 39 | 86 | 67 | 79 | 87 | 90 | 64 | 30 | 72 | 56 | 76 | 51 | 73 | 71 | 49 | 75 | 0 | 31 | 2,750,000$/2yrs | |||
![]() | 44 | D | 100.00 | 75 | 73 | 77 | 62 | 94 | 89 | 81 | 58 | 30 | 70 | 55 | 81 | 48 | 75 | 71 | 57 | 75 | 0 | 31 | 3,850,000$/4yrs | |||
![]() | 4 | D | 100.00 | 69 | 40 | 89 | 74 | 85 | 94 | 90 | 71 | 30 | 80 | 70 | 88 | 57 | 74 | 68 | 75 | 75 | 0 | 28 | 7,350,000$/8yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 20 | RW | 100.00 | 87 | 36 | 78 | 63 | 66 | 75 | 71 | 61 | 54 | 57 | 60 | 78 | 61 | 74 | 72 | 30 | 75 | 0 | 32 | 800,000$/1yrs | |||
![]() | 78 | C/LW/RW | 100.00 | 63 | 38 | 90 | 72 | 92 | 84 | 88 | 69 | 59 | 68 | 67 | 63 | 66 | 70 | 71 | 41 | 75 | 0 | 28 | 3,000,000$/6yrs | |||
![]() | 81 | LW | 86.28 | 61 | 35 | 95 | 86 | 74 | 91 | 88 | 82 | 55 | 80 | 83 | 67 | 84 | 72 | 77 | 69 | 75 | 0 | 28 | 7,250,000$/1yrs | |||
![]() | 34 | C/LW | 100.00 | 70 | 37 | 92 | 84 | 86 | 91 | 89 | 90 | 83 | 81 | 95 | 73 | 89 | 72 | 77 | 78 | 75 | 0 | 27 | 13,250,000$/4yrs | |||
![]() | 8 | D | 100.00 | 69 | 39 | 80 | 70 | 77 | 89 | 80 | 66 | 30 | 73 | 63 | 62 | 54 | 73 | 74 | 49 | 75 | 0 | 31 | 1,250,000$/1yrs | |||
TEAM AVERAGE | 99.33 | 71 | 47 | 83 | 71 | 81 | 85 | 83 | 68 | 53 | 69 | 67 | 73 | 64 | 74 | 73 | 52 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 32 | 100.00 | 87 | 78 | 73 | 78 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 70 | 83 | 56 | 75 | 0 | 30 | 1,175,000$/1yrs |
![]() | 35 | 100.00 | 92 | 89 | 84 | 79 | 91 | 90 | 92 | 91 | 90 | 92 | 91 | 74 | 83 | 59 | 75 | 0 | 30 | 6,150,000$/6yrs |
Scratches | ||||||||||||||||||||
![]() | 33 | 0.00 | 83 | 84 | 79 | 83 | 82 | 81 | 83 | 82 | 81 | 83 | 82 | 74 | 86 | 52 | 75 | 0 | 33 | 975,000$/1yrs |
TEAM AVERAGE | 66.67 | 87 | 84 | 79 | 80 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 73 | 84 | 56 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Lane Lambert | 85 | 86 | 83 | 87 | 90 | 84 | 56 | CAN | 60 | 1 | 3,000,000$ |
General Manager | Samuel Pelletier |
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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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Auston Matthews | 34 | C/LW | 11 | 7 | 8 | 15 | 0 | 19 | 5 | 23 | 63 | 19 | 50 | 11.11% | 0 | 20.08 | 3 | 3 | 6 | 39 | 0 | 0 | 0 | 9 | 1 | 1 | 57.74% | 310 | 0 | 0 | 0 | 0 | 1.36 | 0 | 0 | ||
2 | Noah Hanifin | 4 | D | 12 | 2 | 11 | 13 | 3 | 4 | 0 | 17 | 27 | 17 | 20 | 7.41% | 23 | 25.32 | 1 | 1 | 2 | 47 | 0 | 1 | 1 | 36 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | ||
3 | Kyle Connor | 81 | LW | 8 | 4 | 8 | 12 | 2 | 0 | 0 | 3 | 40 | 11 | 27 | 10.00% | 2 | 19.05 | 2 | 4 | 6 | 29 | 0 | 0 | 0 | 0 | 0 | 0 | 46.67% | 15 | 0 | 0 | 0 | 0 | 1.57 | 0 | 0 | ||
4 | Tyler Johnson | 91 | C/LW/RW | 12 | 2 | 7 | 9 | 2 | 17 | 5 | 6 | 31 | 5 | 32 | 6.45% | 1 | 18.29 | 0 | 2 | 2 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 52.94% | 85 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | ||
5 | Brett Kulak | 27 | D | 12 | 5 | 4 | 9 | 1 | 10 | 0 | 19 | 17 | 9 | 16 | 29.41% | 16 | 22.84 | 4 | 3 | 7 | 39 | 0 | 0 | 0 | 18 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
6 | Jakub Vrana | 14 | LW/RW | 12 | 2 | 6 | 8 | 0 | 2 | 0 | 7 | 29 | 8 | 24 | 6.90% | 3 | 15.99 | 0 | 2 | 2 | 44 | 0 | 0 | 0 | 0 | 0 | 0 | 39.29% | 28 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | ||
7 | Radek Faksa | 12 | C | 12 | 4 | 4 | 8 | 0 | 8 | 0 | 8 | 20 | 8 | 13 | 20.00% | 1 | 14.28 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 40 | 0 | 0 | 52.24% | 245 | 0 | 0 | 1 | 0 | 0.93 | 0 | 0 | ||
8 | Conor Garland | 9 | LW/RW | 12 | 4 | 4 | 8 | 3 | 2 | 0 | 6 | 53 | 8 | 30 | 7.55% | 1 | 19.04 | 0 | 3 | 3 | 41 | 0 | 0 | 0 | 0 | 2 | 1 | 33.33% | 15 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
9 | Victor Olofsson | 17 | LW/RW | 12 | 5 | 2 | 7 | 1 | 0 | 0 | 7 | 30 | 1 | 11 | 16.67% | 1 | 19.83 | 2 | 0 | 2 | 38 | 0 | 0 | 0 | 1 | 2 | 0 | 43.75% | 16 | 0 | 0 | 0 | 1 | 0.59 | 0 | 0 | ||
10 | Luke Kunin | 11 | C/RW | 12 | 1 | 6 | 7 | 4 | 15 | 5 | 32 | 16 | 8 | 24 | 6.25% | 4 | 17.99 | 0 | 0 | 0 | 11 | 0 | 1 | 1 | 26 | 0 | 0 | 44.84% | 281 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | ||
11 | Jarred Tinordi | 80 | D | 12 | 0 | 6 | 6 | 4 | 6 | 0 | 34 | 10 | 2 | 12 | 0.00% | 16 | 20.35 | 0 | 4 | 4 | 42 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
12 | Dougie Hamilton | 19 | D | 11 | 1 | 5 | 6 | -5 | 4 | 0 | 9 | 14 | 3 | 11 | 7.14% | 6 | 19.96 | 0 | 2 | 2 | 25 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
13 | Joel Edmundson | 44 | D | 12 | 1 | 3 | 4 | -5 | 16 | 0 | 18 | 11 | 4 | 8 | 9.09% | 20 | 21.54 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
14 | Austin Watson | 25 | LW/RW | 11 | 2 | 0 | 2 | -1 | 11 | 5 | 21 | 11 | 4 | 8 | 18.18% | 1 | 9.25 | 0 | 0 | 0 | 5 | 1 | 0 | 1 | 24 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
15 | Steven Lorentz | 18 | C/LW | 12 | 0 | 2 | 2 | -3 | 0 | 0 | 7 | 10 | 2 | 3 | 0.00% | 0 | 8.68 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 11 | 0 | 0 | 51.28% | 117 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
16 | Ondrej Palat | 68 | LW | 12 | 1 | 1 | 2 | -2 | 4 | 0 | 14 | 17 | 6 | 18 | 5.88% | 1 | 10.64 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
17 | Mike Reilly | 8 | D | 8 | 0 | 2 | 2 | 2 | 2 | 0 | 5 | 3 | 0 | 3 | 0.00% | 4 | 10.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
18 | Robert Bortuzzo | 28 | D | 6 | 0 | 1 | 1 | 2 | 2 | 0 | 7 | 2 | 1 | 2 | 0.00% | 8 | 17.14 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
19 | Matt Nieto | 23 | LW/RW | 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 11 | 5 | 4 | 9.09% | 0 | 10.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
20 | Pierre Engvall | 78 | C/LW/RW | 8 | 0 | 0 | 0 | -4 | 2 | 0 | 3 | 7 | 4 | 7 | 0.00% | 2 | 10.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.83% | 23 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 216 | 42 | 80 | 122 | 4 | 124 | 20 | 246 | 422 | 125 | 323 | 9.95% | 110 | 16.82 | 12 | 24 | 36 | 434 | 1 | 2 | 3 | 302 | 6 | 3 | 50.65% | 1153 | 0 | 0 | 1 | 1 | 0.67 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Tristan Jarry | Jets | 12 | 6 | 4 | 2 | 0.903 | 3.28 | 731 | 0 | 1 | 40 | 412 | 0 | 0 | 0 | 0.000 | 0 | 12 | 0 | 0 | 0 | 2 |
2 | Kevin Lankinen | Jets | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 12 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0.000 | 0 | 0 | 12 | 0 | 0 | 0 |
Team Total or Average | 13 | 6 | 4 | 2 | 0.905 | 3.23 | 744 | 0 | 1 | 40 | 420 | 0 | 0 | 0 | 0.000 | 0 | 12 | 12 | 0 | 0 | 2 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 725,000$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 27 |
LTIR Players | 2 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Austin Watson | LW/RW/G | 33 | 785,000$ | 785,000$ | UFA | ||||||
Auston Matthews ![]() | C/LW | 27 | 13,250,000$ | 13,250,000$ | 13,250,000$ | 13,250,000$ | 13,250,000$ | ||||
Brett Kulak | D | 31 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Conor Garland | LW/RW | 29 | 4,975,000$ | 4,975,000$ | 4,975,000$ | ||||||
Dougie Hamilton ![]() | D | 31 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Jack Campbell ![]() | D/G | 33 | 975,000$ | 975,000$ | RFA | ||||||
Jakub Vrana | LW/RW | 29 | 1,275,000$ | 1,275,000$ | RFA | ||||||
Jarred Tinordi | D/G | 33 | 1,175,000$ | 1,175,000$ | UFA | ||||||
Joel Edmundson ![]() | D | 31 | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | UFA | |||
Josh Archibald | RW | 32 | 800,000$ | 800,000$ | |||||||
Kevin Lankinen | D/G | 30 | 1,175,000$ | 1,175,000$ | RFA | ||||||
Kyle Connor ![]() | LW | 28 | 7,250,000$ | 7,250,000$ | RFA | ||||||
Luke Kunin | C/RW | 27 | 2,775,000$ | 2,775,000$ | RFA | ||||||
Matt Nieto | LW/RW | 32 | 900,000$ | 900,000$ | |||||||
Mike Reilly | D | 31 | 1,250,000$ | 1,250,000$ | |||||||
Noah Hanifin ![]() | D | 28 | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ |
Ondrej Palat ![]() | LW | 34 | 6,200,000$ | 6,200,000$ | 6,200,000$ | UFA | |||||
Pierre Engvall ![]() | C/LW/RW | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |
Radek Faksa ![]() | C | 31 | 3,250,000$ | 3,250,000$ | |||||||
Robert Bortuzzo | D | 36 | 1,150,000$ | 1,150,000$ | UFA | ||||||
Steven Lorentz | C/LW | 29 | 1,275,000$ | 1,275,000$ | RFA | ||||||
Tristan Jarry ![]() | D/G | 30 | 6,150,000$ | 6,150,000$ | 6,150,000$ | 6,150,000$ | 6,150,000$ | 6,150,000$ | 6,150,000$ | ||
Tyler Johnson | C/LW/RW | 34 | 3,700,000$ | 3,700,000$ | UFA | ||||||
Victor Olofsson | LW/RW | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ |
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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 |
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1 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 25 | 17 | 8 | 8 | 0.667 | 25 | 48 | 73 | 0 | 1 | 6 | 10 | 8 | 1 | 242 | 58 | 87 | 86 | 11 | 211 | 53 | 42 | 124 | 29 | 9 | 31.03% | 20 | 3 | 85.00% | 1 | 256 | 490 | 52.24% | 233 | 472 | 49.36% | 95 | 191 | 49.74% | 164 | 115 | 139 | 44 | 76 | 39 | 53.3% | 10.3% | 91.9% | 102.3 | LUCKY | |
2 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 23 | -6 | 4 | 0.333 | 17 | 32 | 49 | 0 | 0 | 8 | 4 | 5 | 0 | 180 | 81 | 51 | 45 | 3 | 209 | 57 | 82 | 122 | 23 | 3 | 13.04% | 23 | 8 | 65.22% | 0 | 256 | 490 | 52.24% | 233 | 472 | 49.36% | 95 | 191 | 49.74% | 134 | 90 | 147 | 47 | 80 | 39 | 48.3% | 9.4% | 89.0% | 98.4 | FUN | |
_Vs Division | 12 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 42 | 40 | 2 | 12 | 0.500 | 42 | 80 | 122 | 0 | 1 | 14 | 14 | 13 | 1 | 422 | 139 | 138 | 131 | 14 | 420 | 110 | 124 | 246 | 52 | 12 | 23.08% | 43 | 11 | 74.42% | 1 | 256 | 490 | 52.24% | 233 | 472 | 49.36% | 95 | 191 | 49.74% | 299 | 205 | 287 | 92 | 157 | 78 | 50.8% | 10.0% | 90.5% | 100.4 | FUN | |
_Vs Conference | 12 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 42 | 40 | 2 | 12 | 0.500 | 42 | 80 | 122 | 0 | 1 | 14 | 14 | 13 | 1 | 422 | 139 | 138 | 131 | 14 | 420 | 110 | 124 | 246 | 52 | 12 | 23.08% | 43 | 11 | 74.42% | 1 | 256 | 490 | 52.24% | 233 | 472 | 49.36% | 95 | 191 | 49.74% | 299 | 205 | 287 | 92 | 157 | 78 | 50.8% | 10.0% | 90.5% | 100.4 | FUN | |
_Since Last GM Reset | 12 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 42 | 40 | 2 | 12 | 0.500 | 42 | 80 | 122 | 0 | 1 | 14 | 14 | 13 | 1 | 422 | 139 | 138 | 131 | 14 | 420 | 110 | 124 | 246 | 52 | 12 | 23.08% | 43 | 11 | 74.42% | 1 | 256 | 490 | 52.24% | 233 | 472 | 49.36% | 95 | 191 | 49.74% | 299 | 205 | 287 | 92 | 157 | 78 | 50.8% | 10.0% | 90.5% | 100.4 | FUN | |
Total | 12 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 42 | 40 | 2 | 12 | 0.500 | 42 | 80 | 122 | 0 | 1 | 14 | 14 | 13 | 1 | 422 | 139 | 138 | 131 | 14 | 420 | 110 | 124 | 246 | 52 | 12 | 23.08% | 43 | 11 | 74.42% | 1 | 256 | 490 | 52.24% | 233 | 472 | 49.36% | 95 | 191 | 49.74% | 299 | 205 | 287 | 92 | 157 | 78 | 50.8% | 10.0% | 90.5% | 100.4 | FUN |
Puck Time | |
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Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
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Offensive Zone Start | 490 |
Neutral Zone Start | 191 |
Defensive Zone Start | 472 |
Puck Time | |
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With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 584 |
Faceoffs Lost | 569 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.6 | 9.57 |
2nd Period | 23.1 | 20.31 |
3rd Period | 34.0 | 30.68 |
Overtime | 35.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 29 |
---|---|
PP Goal | 12 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 3 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 52 |
---|---|
PP Goal | 12 |
PK Attempt | 43 |
PK Goal Against | 11 |
Home | |
---|---|
Shots For | 35.2 |
Shots Against | 35.0 |
Goals For | 3.5 |
Goals Against | 3.3 |
Hits | 20.5 |
Shots Blocked | 9.2 |
Pim | 10.3 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2025-04-20 | @ | Avalanche0,Jets7 | RECAP | ||
2025-04-22 | @ | Avalanche4,Jets3 (OT) | RECAP | ||
2025-04-24 | @ | Jets3,Avalanche2 (OT) | RECAP | ||
2025-04-26 | @ | Jets2,Avalanche5 | RECAP | ||
2025-04-28 | @ | Avalanche3,Jets6 | RECAP | ||
2025-04-30 | @ | Jets4,Avalanche3 | RECAP | ||
2025-05-05 | @ | Blues4,Jets3 (OT) | RECAP | ||
2025-05-07 | @ | Blues2,Jets4 | RECAP | ||
2025-05-09 | @ | Jets2,Blues5 | RECAP | ||
2025-05-11 | @ | Jets6,Blues4 | RECAP | ||
2025-05-13 | @ | Blues4,Jets1 | RECAP | ||
2025-05-15 | @ | Jets1,Blues4 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
90,685,000$ | 725,000$ | 0$ | 88,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Bell MTS Place | |
City | Winnipeg | ||
Capacity | 18545 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2545 | 4000 | 1000 |
Ticket Price | 250$ | 200$ | 125$ | 75$ | 400$ |
Attendance | 29487 | 25569 | 13706 | 23119 | 5540 |
Attendance PCT | 81.91% | 85.23% | 89.76% | 96.33% | 92.33% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
35 | 16237 - 87.55% | 3,780,984$ | 22,685,906$ | 18545 | 150 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
90,685,000$ | 79,535,000$ | 0$ | 725,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 11 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 321,393,205$ | 321,393,205$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Caeden Herrington | 2024 | 214 | |||
Deagan MacMillan | 2023 | 207 | |||
Elmeri Laakso | 2022 | 189 | |||
Justin Gill | 2023 | 214 | |||
Kevin Reidler | 2022 | 221 | |||
Mitja Jokinen | 2024 | 180 | |||
Nikita Susuyev | 2023 | 156 | |||
Nolan Roed | 2024 | 115 | |||
Oskar Asplund | 2023 | 220 | |||
Ryan McCleary | 2021 | 215 | |||
Tuomas Suoniemi | 2024 | 150 | |||
Zeb Forsfjall | 2023 | 121 |
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