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Winnipeg Jets 3-4-0, 6pts |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW | 100.00 | 56 | 35 | 82 | 74 | 75 | 86 | 83 | 73 | 82 | 72 | 71 | 86 | 73 | 62 | 65 | 86 | 70 | 0 | 21 | 925,000$/2yrs | |||
![]() | 0 | C | 100.00 | 67 | 41 | 85 | 76 | 77 | 88 | 90 | 73 | 89 | 74 | 71 | 82 | 70 | 74 | 72 | 65 | 76 | 0 | 30 | 5,500,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 56 | 33 | 94 | 79 | 65 | 87 | 90 | 78 | 59 | 82 | 74 | 64 | 80 | 66 | 67 | 58 | 80 | 0 | 24 | 5,450,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 90 | 35 | 94 | 63 | 77 | 80 | 87 | 62 | 58 | 63 | 61 | 80 | 57 | 86 | 76 | 34 | 80 | 0 | 35 | 815,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 59 | 34 | 92 | 70 | 73 | 85 | 84 | 72 | 63 | 71 | 70 | 77 | 68 | 90 | 82 | 35 | 69 | 0 | 38 | 850,000$/1yrs | |||
![]() | 0 | C | 100.00 | 58 | 34 | 90 | 77 | 71 | 92 | 89 | 78 | 76 | 80 | 72 | 84 | 78 | 77 | 71 | 73 | 80 | 0 | 30 | 5,125,000$/7yrs | |||
![]() | 0 | LW | 100.00 | 76 | 74 | 71 | 75 | 80 | 91 | 86 | 77 | 72 | 83 | 85 | 81 | 76 | 78 | 92 | 73 | 79 | 0 | 30 | 7,000,000$/7yrs | |||
![]() | 0 | C | 100.00 | 61 | 35 | 89 | 72 | 73 | 88 | 90 | 75 | 86 | 74 | 73 | 69 | 71 | 89 | 80 | 33 | 80 | 0 | 37 | 2,600,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 69 | 38 | 90 | 59 | 78 | 84 | 70 | 58 | 53 | 54 | 59 | 56 | 57 | 63 | 65 | 80 | 82 | 0 | 23 | 750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 78 | 37 | 92 | 68 | 71 | 84 | 85 | 64 | 92 | 63 | 65 | 88 | 62 | 79 | 74 | 26 | 80 | 0 | 33 | 2,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 86 | 35 | 94 | 66 | 75 | 81 | 89 | 67 | 81 | 62 | 65 | 80 | 63 | 70 | 68 | 71 | 80 | 0 | 28 | 1,100,000$/3yrs | |||
![]() | 0 | C | 100.00 | 65 | 38 | 85 | 93 | 76 | 91 | 89 | 92 | 84 | 95 | 90 | 67 | 93 | 68 | 86 | 88 | 71 | 0 | 26 | 12,300,000$/4yrs | |||
![]() | 0 | C | 100.00 | 89 | 34 | 86 | 71 | 69 | 84 | 81 | 67 | 65 | 62 | 66 | 90 | 67 | 68 | 72 | 53 | 51 | 0 | 28 | 950,000$/1yrs | |||
![]() | 0 | C | 100.00 | 76 | 37 | 89 | 74 | 85 | 82 | 87 | 73 | 83 | 70 | 78 | 82 | 71 | 67 | 70 | 79 | 74 | 0 | 26 | 5,250,000$/7yrs | |||
![]() | 0 | D | 100.00 | 85 | 65 | 72 | 70 | 74 | 92 | 93 | 66 | 30 | 83 | 68 | 92 | 55 | 70 | 72 | 58 | 64 | 0 | 29 | 3,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 80 | 73 | 71 | 62 | 80 | 87 | 84 | 58 | 30 | 66 | 56 | 73 | 51 | 80 | 72 | 55 | 80 | 0 | 32 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 38 | 90 | 75 | 86 | 93 | 82 | 74 | 30 | 83 | 64 | 87 | 56 | 62 | 68 | 89 | 76 | 0 | 22 | 863,333$/2yrs | |||
![]() | 0 | D | 100.00 | 82 | 71 | 76 | 63 | 94 | 85 | 81 | 62 | 30 | 71 | 63 | 84 | 52 | 72 | 69 | 59 | 79 | 0 | 29 | 4,300,000$/4yrs | |||
![]() | 0 | D | 100.00 | 62 | 34 | 87 | 76 | 68 | 90 | 88 | 71 | 30 | 77 | 61 | 56 | 52 | 63 | 66 | 83 | 80 | 0 | 23 | 863,333$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 35 | 87 | 69 | 76 | 85 | 73 | 68 | 30 | 74 | 55 | 67 | 53 | 64 | 65 | 82 | 55 | 0 | 26 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 76 | 74 | 73 | 80 | 84 | 88 | 92 | 81 | 57 | 85 | 82 | 63 | 81 | 68 | 74 | 85 | 69 | 0 | 25 | 9,500,000$/8yrs | |||
![]() | 0 | D | 100.00 | 63 | 36 | 87 | 65 | 78 | 95 | 82 | 64 | 30 | 68 | 56 | 77 | 50 | 89 | 75 | 39 | 49 | 0 | 36 | 1,150,000$/4yrs | |||
TEAM AVERAGE | 100.00 | 72 | 44 | 85 | 72 | 77 | 87 | 85 | 71 | 60 | 73 | 68 | 77 | 65 | 73 | 73 | 64 | 73 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 94 | 92 | 86 | 88 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 82 | 89 | 50 | 79 | 0 | 35 | 1,250,000$/1yrs |
![]() | 0 | 100.00 | 97 | 95 | 90 | 88 | 96 | 95 | 97 | 96 | 95 | 97 | 96 | 76 | 81 | 69 | 80 | 0 | 28 | 9,500,000$/6yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 79 | 83 | 81 | 87 | 78 | 77 | 79 | 78 | 77 | 79 | 78 | 65 | 73 | 56 | 59 | 0 | 26 | 766,667$/3yrs |
TEAM AVERAGE | 100.00 | 90 | 90 | 86 | 88 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 74 | 81 | 58 | 73 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Patrick Roy | 73 | 71 | 72 | 70 | 82 | 77 | 69 | CAN | 56 | 3 | 1,000,000$ |
General Manager | Pascal Lyrette |
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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 | Connor McDavid | 0 | C | 7 | 6 | 1 | 7 | -4 | 4 | 0 | 13 | 22 | 8 | 15 | 27.27% | 1 | 23.90 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 10 | 2 | 0 | 50.70% | 215 | 11 | 3 | 0 | 1 | 0.84 | 0 | 0 | ||
2 | Jesper Bratt | 0 | LW/RW | 7 | 1 | 5 | 6 | -5 | 0 | 0 | 5 | 21 | 2 | 18 | 4.76% | 3 | 20.87 | 1 | 0 | 1 | 12 | 0 | 0 | 0 | 3 | 0 | 0 | 43.75% | 16 | 8 | 1 | 0 | 0 | 0.82 | 0 | 0 | ||
3 | Gabriel Landeskog | 0 | LW | 7 | 3 | 2 | 5 | 0 | 8 | 0 | 17 | 23 | 7 | 9 | 13.04% | 5 | 19.11 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 6 | 0 | 1 | 62.50% | 8 | 4 | 2 | 0 | 0 | 0.75 | 0 | 0 | ||
4 | Moritz Seider | 0 | D | 7 | 0 | 5 | 5 | -2 | 2 | 0 | 13 | 11 | 3 | 3 | 0.00% | 8 | 29.11 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 5 | 11 | 0 | 0 | 0.49 | 0 | 0 | ||
5 | Phillip Danault | 0 | C | 7 | 0 | 4 | 4 | 1 | 0 | 0 | 10 | 20 | 6 | 18 | 0.00% | 3 | 18.50 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 8 | 0 | 0 | 49.11% | 112 | 6 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
6 | MacKenzie Weegar | 0 | D | 7 | 1 | 3 | 4 | -2 | 12 | 0 | 13 | 8 | 3 | 2 | 12.50% | 17 | 28.42 | 1 | 0 | 1 | 14 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 4 | 8 | 0 | 0 | 0.40 | 0 | 0 | ||
7 | Ryan Nugent-Hopkins | 0 | C | 7 | 2 | 1 | 3 | -2 | 0 | 0 | 14 | 18 | 5 | 4 | 11.11% | 3 | 16.91 | 0 | 1 | 1 | 8 | 0 | 0 | 0 | 0 | 1 | 0 | 35.71% | 14 | 5 | 3 | 0 | 0 | 0.51 | 0 | 0 | ||
8 | Paul Stastny | 0 | C | 7 | 0 | 3 | 3 | -1 | 0 | 0 | 8 | 15 | 3 | 9 | 0.00% | 1 | 13.18 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 51.16% | 43 | 2 | 1 | 0 | 0 | 0.65 | 0 | 0 | ||
9 | Joel Eriksson Ek | 0 | C | 7 | 3 | 0 | 3 | -1 | 0 | 0 | 9 | 14 | 8 | 9 | 21.43% | 3 | 14.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 52.63% | 19 | 2 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
10 | Joel Edmundson | 0 | D | 7 | 0 | 2 | 2 | -3 | 4 | 0 | 14 | 6 | 2 | 4 | 0.00% | 11 | 20.70 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.28 | 0 | 0 | ||
11 | Ty Smith | 0 | D | 7 | 0 | 2 | 2 | -3 | 0 | 0 | 7 | 5 | 1 | 1 | 0.00% | 3 | 20.93 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
12 | Jakub Zboril | 0 | D | 7 | 1 | 1 | 2 | -1 | 2 | 0 | 4 | 1 | 2 | 1 | 100.00% | 2 | 12.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.44 | 0 | 0 | ||
13 | Shane Bowers | 0 | RW | 3 | 0 | 1 | 1 | -3 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 1 | 8.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 1 | 0 | 0 | 0.83 | 0 | 0 | ||
14 | Luke Glendening | 0 | C | 7 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 4 | 3 | 1 | 0.00% | 2 | 8.86 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 7 | 0 | 0 | 64.29% | 28 | 0 | 2 | 0 | 0 | 0.32 | 0 | 0 | ||
15 | Matthew Tkachuk | 0 | LW/RW | 4 | 1 | 0 | 1 | -3 | 9 | 5 | 11 | 14 | 7 | 8 | 7.14% | 1 | 21.74 | 1 | 0 | 1 | 8 | 0 | 0 | 0 | 9 | 0 | 0 | 40.00% | 5 | 7 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
16 | Anton Lundell | 0 | C/LW | 6 | 0 | 0 | 0 | -1 | 2 | 0 | 1 | 6 | 0 | 2 | 0.00% | 1 | 5.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 2 | 2 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Cal Clutterbuck | 0 | RW | 7 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 0 | 0 | 0.00% | 4 | 2.73 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Zach Parise | 0 | LW | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 4 | 0.00% | 0 | 5.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Zach Bogosian | 0 | D | 7 | 0 | 0 | 0 | -1 | 2 | 0 | 11 | 2 | 0 | 0 | 0.00% | 3 | 14.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Curtis Lazar | 0 | C | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 0 | 2 | 0.00% | 2 | 7.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 58.33% | 12 | 0 | 2 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Tyler Motte | 0 | C | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 1 | 0 | 0 | 0.00% | 1 | 11.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 1 | 3 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 139 | 18 | 31 | 49 | -30 | 45 | 5 | 177 | 198 | 64 | 111 | 9.09% | 75 | 15.63 | 3 | 4 | 7 | 120 | 0 | 0 | 0 | 142 | 3 | 1 | 50.83% | 480 | 57 | 47 | 0 | 1 | 0.45 | 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 | Andrei Vasilevskiy | 6 | 3 | 3 | 0 | 0.919 | 3.00 | 380 | 0 | 1 | 19 | 236 | 95 | 0 | 0 | 0.000 | 0 | 6 | 0 | 2 | 0 | 1 | |
2 | Cam Talbot | 1 | 0 | 1 | 0 | 0.714 | 7.27 | 33 | 0 | 0 | 4 | 14 | 5 | 0 | 0 | 0.000 | 0 | 1 | 6 | 0 | 0 | 0 | |
Team Total or Average | 7 | 3 | 4 | 0 | 0.908 | 3.33 | 414 | 0 | 1 | 23 | 250 | 100 | 0 | 0 | 0.000 | 0 | 7 | 6 | 2 | 0 | 1 |
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 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 24 | -6 | 6 | 0.429 | 18 | 31 | 49 | 0 | 1 | 3 | 5 | 9 | 1 | 198 | 51 | 71 | 59 | 17 | 267 | 75 | 45 | 177 | 14 | 3 | 21.43% | 20 | 3 | 85.00% | 0 | 89 | 175 | 50.86% | 90 | 198 | 45.45% | 65 | 107 | 60.75% | 148 | 84 | 168 | 64 | 124 | 61 | 41.7% | 9.1% | 91.0% | 100.1 | FUN | |
_Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 24 | -6 | 6 | 0.429 | 18 | 31 | 49 | 0 | 1 | 3 | 5 | 9 | 1 | 198 | 51 | 71 | 59 | 17 | 267 | 75 | 45 | 177 | 14 | 3 | 21.43% | 20 | 3 | 85.00% | 0 | 89 | 175 | 50.86% | 90 | 198 | 45.45% | 65 | 107 | 60.75% | 148 | 84 | 168 | 64 | 124 | 61 | 41.7% | 9.1% | 91.0% | 100.1 | FUN | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 24 | -6 | 6 | 0.429 | 18 | 31 | 49 | 0 | 1 | 3 | 5 | 9 | 1 | 198 | 51 | 71 | 59 | 17 | 267 | 75 | 45 | 177 | 14 | 3 | 21.43% | 20 | 3 | 85.00% | 0 | 89 | 175 | 50.86% | 90 | 198 | 45.45% | 65 | 107 | 60.75% | 148 | 84 | 168 | 64 | 124 | 61 | 41.7% | 9.1% | 91.0% | 100.1 | FUN | |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 24 | -6 | 6 | 0.429 | 18 | 31 | 49 | 0 | 1 | 3 | 5 | 9 | 1 | 198 | 51 | 71 | 59 | 17 | 267 | 75 | 45 | 177 | 14 | 3 | 21.43% | 20 | 3 | 85.00% | 0 | 89 | 175 | 50.86% | 90 | 198 | 45.45% | 65 | 107 | 60.75% | 148 | 84 | 168 | 64 | 124 | 61 | 41.7% | 9.1% | 91.0% | 100.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 175 |
Neutral Zone Start | 107 |
Defensive Zone Start | 198 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 33 |
Faceoffs | |
---|---|
Faceoffs Won | 244 |
Faceoffs Lost | 236 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.3 | 9.57 |
2nd Period | 17.4 | 20.31 |
3rd Period | 25.9 | 30.68 |
Overtime | 28.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.1 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 15 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 2 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 14 |
---|---|
PP Goal | 3 |
PK Attempt | 20 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 28.3 |
Shots Against | 38.1 |
Goals For | 2.6 |
Goals Against | 3.4 |
Hits | 25.3 |
Shots Blocked | 10.7 |
Pim | 6.4 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 85,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Jets Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrei Vasilevskiy | G | 28 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |
Anton Lundell ![]() | C/LW | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Cal Clutterbuck | RW | 35 | 815,000$ | 815,000$ | 815,000$ | UFA | |||||
Cam Talbot ![]() | G | 35 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Connor McDavid | C | 26 | 12,300,000$ | 12,300,000$ | 12,300,000$ | 12,300,000$ | 12,300,000$ | ||||
Curtis Lazar ![]() | C | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
Gabriel Landeskog | LW | 30 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA |
Jakub Zboril ![]() | D | 26 | 750,000$ | 750,000$ | RFA | ||||||
Jesper Bratt ![]() | LW/RW | 24 | 5,450,000$ | 5,450,000$ | RFA | ||||||
Joel Edmundson | D | 29 | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | UFA | |||
Joel Eriksson Ek ![]() | C | 26 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA |
Logan Thompson ![]() | G | 26 | 766,667$ | 766,667$ | 766,667$ | 766,667$ | |||||
Luke Glendening | C | 33 | 2,000,000$ | 2,000,000$ | UFA | ||||||
MacKenzie Weegar | D | 29 | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||||
Marc-Edouard Vlasic | D | 36 | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | UFA | |||
Matthew Tkachuk | LW/RW | 25 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ |
Moritz Seider ![]() | D | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Paul Stastny | C | 37 | 2,600,000$ | 2,600,000$ | UFA | ||||||
Phillip Danault | C | 30 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||
Ryan Nugent-Hopkins | C | 30 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA |
Shane Bowers ![]() | RW | 23 | 750,000$ | 750,000$ | RFA | ||||||
Ty Smith ![]() | D | 23 | 863,333$ | 863,333$ | RFA | ||||||
Tyler Motte | C | 28 | 950,000$ | 950,000$ | |||||||
Zach Bogosian | D | 32 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Zach Parise | LW | 38 | 850,000$ | 850,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
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Antoine Morand ![]() | C | 24 | 775,000$ | 925,000$ | 925,000$ | RFA | |||||
Craig Anderson ![]() | G | 41 | 750,000$ | 750,000$ | UFA | ||||||
Dan Vladar ![]() | G | 25 | 900,000$ | 900,000$ | RFA | ||||||
Dennis Cholowski ![]() | D | 25 | 762,500$ | 762,500$ | 762,500$ | RFA | |||||
Mitchell Stephens ![]() | C | 26 | 825,000$ | 875,000$ | 875,000$ | ||||||
Victor Mete ![]() | D | 24 | 750,000$ | 750,000$ | RFA | ||||||
Ville Heinola ![]() | D | 22 | 864,167$ | 864,167$ | RFA |
Forward Lines | |||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 24 | -6 | 6 | 0.429 | 18 | 31 | 49 | 0 | 1 | 3 | 5 | 9 | 1 | 198 | 51 | 71 | 59 | 17 | 267 | 75 | 45 | 177 | 14 | 3 | 21.43% | 20 | 3 | 85.00% | 0 | 89 | 175 | 50.86% | 90 | 198 | 45.45% | 65 | 107 | 60.75% | 148 | 84 | 168 | 64 | 124 | 61 | 41.7% | 9.1% | 91.0% | 100.1 | FUN | |
_Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 24 | -6 | 6 | 0.429 | 18 | 31 | 49 | 0 | 1 | 3 | 5 | 9 | 1 | 198 | 51 | 71 | 59 | 17 | 267 | 75 | 45 | 177 | 14 | 3 | 21.43% | 20 | 3 | 85.00% | 0 | 89 | 175 | 50.86% | 90 | 198 | 45.45% | 65 | 107 | 60.75% | 148 | 84 | 168 | 64 | 124 | 61 | 41.7% | 9.1% | 91.0% | 100.1 | FUN | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 24 | -6 | 6 | 0.429 | 18 | 31 | 49 | 0 | 1 | 3 | 5 | 9 | 1 | 198 | 51 | 71 | 59 | 17 | 267 | 75 | 45 | 177 | 14 | 3 | 21.43% | 20 | 3 | 85.00% | 0 | 89 | 175 | 50.86% | 90 | 198 | 45.45% | 65 | 107 | 60.75% | 148 | 84 | 168 | 64 | 124 | 61 | 41.7% | 9.1% | 91.0% | 100.1 | FUN | |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 24 | -6 | 6 | 0.429 | 18 | 31 | 49 | 0 | 1 | 3 | 5 | 9 | 1 | 198 | 51 | 71 | 59 | 17 | 267 | 75 | 45 | 177 | 14 | 3 | 21.43% | 20 | 3 | 85.00% | 0 | 89 | 175 | 50.86% | 90 | 198 | 45.45% | 65 | 107 | 60.75% | 148 | 84 | 168 | 64 | 124 | 61 | 41.7% | 9.1% | 91.0% | 100.1 | FUN |
Puck Time | |
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Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 175 |
Neutral Zone Start | 107 |
Defensive Zone Start | 198 |
Puck Time | |
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With Puck | 29 |
Without Puck | 33 |
Faceoffs | |
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Faceoffs Won | 244 |
Faceoffs Lost | 236 |
Team Average Shots after | League Average Shots after | |
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1st Period | 7.3 | 9.57 |
2nd Period | 17.4 | 20.31 |
3rd Period | 25.9 | 30.68 |
Overtime | 28.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.1 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 15 |
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PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 1 | 2 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 14 |
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PP Goal | 3 |
PK Attempt | 20 |
PK Goal Against | 3 |
Home | |
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Shots For | 28.3 |
Shots Against | 38.1 |
Goals For | 2.6 |
Goals Against | 3.4 |
Hits | 25.3 |
Shots Blocked | 10.7 |
Pim | 6.4 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-04-08 | VS | WPG1,EDM5 | RECAP | ||
2023-04-10 | VS | WPG4,EDM3 (OT) | RECAP | ||
2023-04-12 | VS | EDM6,WPG1 | RECAP | ||
2023-04-14 | VS | EDM4,WPG3 | RECAP | ||
2023-04-16 | VS | WPG4,EDM0 | RECAP | ||
2023-04-18 | VS | EDM2,WPG3 | RECAP | ||
2023-04-20 | VS | WPG2,EDM4 | RECAP |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,658,333$ | 0$ | 0$ | 85,000,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Bell MTS Place | |
City | Winnipeg | ||
Capacity | 18545 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2545 | 4000 | 1000 |
Ticket Price | 138$ | 117$ | 88$ | 51$ | 236$ |
Attendance | 15820 | 12914 | 6507 | 11004 | 2798 |
Attendance PCT | 87.89% | 86.09% | 85.23% | 91.70% | 93.27% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
38 | 16348 - 88.15% | 2,286,769$ | 6,860,307$ | 18545 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,658,333$ | 83,658,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 127,926,915$ | 127,926,915$ |
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 |
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2023 | |||||
2024 | |||||
2025 | |||||
2026 | |||||
2027 |
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 |
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Colton Dach | 2021 | 44 | |||
Jack Drury | |||||
Jake Sanderson | |||||
Jan Bednar | |||||
Jonathan Lekkerimaki | |||||
Mason McTavish | 2021 | 3 | |||
Nico Daws | |||||
Shane Wright | |||||
Simon Edvinsson | 2021 | 7 | |||
Tyler Madden | |||||
William Eklund | 2021 | 8 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2023 | |||||
2024 | |||||
2025 | |||||
2026 | |||||
2027 |
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 |
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Colton Dach | 2021 | 44 | |||
Jack Drury | |||||
Jake Sanderson | |||||
Jan Bednar | |||||
Jonathan Lekkerimaki | |||||
Mason McTavish | 2021 | 3 | |||
Nico Daws | |||||
Shane Wright | |||||
Simon Edvinsson | 2021 | 7 | |||
Tyler Madden | |||||
William Eklund | 2021 | 8 |
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