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Winnipeg Jets 25-17-6, 56pts · 8th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 99.00 | 56 | 42 | 86 | 80 | 85 | 88 | 86 | 83 | 90 | 84 | 76 | 74 | 89 | 70 | 82 | 86 | 50 | 75 | 24 | 5,900,000$/2yrs | |||
![]() | 0 | C | 100.00 | 57 | 45 | 74 | 83 | 85 | 89 | 90 | 82 | 85 | 84 | 81 | 66 | 83 | 74 | 80 | 72 | 50 | 75 | 26 | 6,125,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 79 | 40 | 88 | 80 | 74 | 83 | 84 | 78 | 54 | 77 | 71 | 68 | 79 | 74 | 73 | 66 | 50 | 71 | 26 | 3,800,000$/2yrs | |||
![]() | 0 | C | 99.00 | 59 | 42 | 84 | 78 | 83 | 84 | 67 | 76 | 84 | 77 | 77 | 74 | 80 | 73 | 76 | 71 | 50 | 71 | 25 | 5,625,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 71 | 41 | 85 | 74 | 78 | 77 | 83 | 72 | 56 | 73 | 73 | 59 | 76 | 62 | 66 | 85 | 50 | 67 | 20 | 863,333$/3yrs | |||
![]() | 0 | RW | 100.00 | 65 | 42 | 74 | 73 | 84 | 77 | 86 | 72 | 53 | 71 | 66 | 58 | 73 | 75 | 69 | 72 | 50 | 66 | 27 | 5,250,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 89 | 63 | 61 | 66 | 87 | 69 | 72 | 64 | 53 | 63 | 62 | 77 | 64 | 75 | 69 | 67 | 50 | 65 | 27 | 1,100,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 70 | 48 | 64 | 67 | 72 | 74 | 88 | 65 | 71 | 64 | 63 | 77 | 66 | 71 | 68 | 74 | 50 | 65 | 25 | 1,900,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 57 | 40 | 89 | 69 | 76 | 71 | 84 | 68 | 53 | 70 | 65 | 58 | 66 | 63 | 64 | 87 | 50 | 64 | 21 | 863,333$/2yrs | |||
![]() | 0 | LW | 100.00 | 58 | 40 | 89 | 66 | 75 | 77 | 86 | 64 | 53 | 70 | 65 | 59 | 63 | 69 | 67 | 56 | 50 | 64 | 24 | 2,800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 74 | 44 | 89 | 63 | 97 | 65 | 80 | 61 | 77 | 56 | 62 | 66 | 61 | 69 | 65 | 79 | 50 | 63 | 24 | 675,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 43 | 83 | 78 | 88 | 92 | 75 | 77 | 30 | 81 | 68 | 90 | 59 | 71 | 76 | 85 | 50 | 76 | 24 | 5,400,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 42 | 86 | 78 | 83 | 91 | 82 | 76 | 30 | 77 | 83 | 79 | 63 | 65 | 70 | 86 | 50 | 72 | 22 | 5,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 82 | 41 | 82 | 66 | 82 | 87 | 75 | 64 | 30 | 69 | 53 | 85 | 49 | 73 | 68 | 71 | 50 | 71 | 25 | 4,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 87 | 45 | 71 | 63 | 85 | 87 | 68 | 62 | 30 | 67 | 54 | 75 | 47 | 75 | 68 | 74 | 50 | 68 | 26 | 4,167,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 41 | 87 | 68 | 78 | 83 | 77 | 67 | 30 | 73 | 71 | 69 | 58 | 71 | 66 | 77 | 50 | 67 | 25 | 4,875,000$/7yrs | |||
![]() | 0 | D | 100.00 | 77 | 42 | 83 | 62 | 78 | 75 | 76 | 59 | 30 | 58 | 58 | 63 | 51 | 62 | 61 | 64 | 50 | 63 | 20 | 771,666$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 47 | 87 | 60 | 76 | 86 | 87 | 58 | 30 | 59 | 54 | 56 | 46 | 71 | 66 | 59 | 50 | 62 | 25 | 700,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 71 | 64 | 67 | 61 | 85 | 82 | 81 | 59 | 55 | 58 | 60 | 62 | 59 | 67 | 64 | 73 | 50 | 62 | 22 | 735,000$/1yrs | |||
TEAM AVERAGE | 99.89 | 69 | 45 | 80 | 70 | 82 | 81 | 80 | 69 | 52 | 70 | 66 | 69 | 65 | 70 | 69 | 74 | 50 | 68 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 88 | 86 | 84 | 70 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 78 | 84 | 56 | 50 | 81 | 29 | 950,000$/1yrs |
![]() | 0 | 100.00 | 75 | 76 | 74 | 82 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 75 | 81 | 57 | 50 | 73 | 26 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 72 | 85 | 83 | 73 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 77 | 83 | 51 | 50 | 71 | 28 | 700,000$/1yrs |
TEAM AVERAGE | 99.67 | 78 | 82 | 80 | 75 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 77 | 83 | 55 | 50 | 75 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 71 | 45 | 88 | 62 | 85 | 86 | 87 | 59 | 53 | 57 | 56 | 62 | 58 | 61 | 63 | 82 | 60 | 61 | 20 | 894,167$/3yrs | |||
![]() | 0 | C | 100.00 | 60 | 41 | 83 | 66 | 75 | 72 | 68 | 64 | 71 | 65 | 58 | 60 | 63 | 60 | 62 | 90 | 60 | 60 | 19 | 894,167$/3yrs | |||
![]() | 0 | RW | 100.00 | 65 | 46 | 88 | 64 | 83 | 74 | 72 | 62 | 53 | 58 | 59 | 61 | 56 | 60 | 62 | 87 | 60 | 60 | 19 | 925,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 89 | 41 | 78 | 61 | 80 | 70 | 75 | 59 | 56 | 54 | 55 | 57 | 60 | 68 | 65 | 74 | 60 | 59 | 24 | 1,050,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 61 | 45 | 86 | 63 | 78 | 71 | 68 | 61 | 56 | 60 | 58 | 59 | 56 | 61 | 63 | 84 | 60 | 59 | 19 | 894,167$/3yrs | |||
![]() | 0 | D | 100.00 | 59 | 49 | 86 | 64 | 75 | 86 | 87 | 63 | 30 | 66 | 56 | 59 | 48 | 63 | 62 | 85 | 60 | 63 | 21 | 863,333$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 38 | 84 | 66 | 71 | 85 | 78 | 65 | 30 | 69 | 57 | 59 | 51 | 60 | 63 | 82 | 60 | 62 | 19 | 894,167$/3yrs | |||
![]() | 0 | D | 100.00 | 59 | 43 | 89 | 63 | 72 | 80 | 77 | 62 | 30 | 60 | 57 | 61 | 46 | 65 | 67 | 63 | 60 | 61 | 22 | 792,500$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 50 | 79 | 59 | 85 | 72 | 67 | 58 | 30 | 57 | 56 | 60 | 45 | 67 | 64 | 54 | 60 | 60 | 23 | 735,000$/1yrs | |||
![]() | 0 | D | 100.00 | 56 | 42 | 88 | 59 | 66 | 83 | 74 | 58 | 30 | 57 | 57 | 56 | 45 | 61 | 62 | 80 | 60 | 58 | 19 | 894,167$/3yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Thierry Pigelet |
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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 | Aleksander Barkov | 0 | C | 48 | 17 | 35 | 52 | 4 | 25 | 5 | 67 | 178 | 75 | 108 | 9.55% | 22 | 23.94 | 10 | 16 | 26 | 165 | 0 | 1 | 1 | 129 | 3 | 0 | 56.08% | 1521 | 42 | 24 | 0 | 0 | 0.90 | 2 | 11 | ||
2 | Tomas Hertl | 0 | C | 48 | 22 | 21 | 43 | 6 | 44 | 10 | 62 | 196 | 63 | 125 | 11.22% | 23 | 22.20 | 10 | 11 | 21 | 165 | 1 | 0 | 1 | 60 | 2 | 1 | 53.49% | 86 | 44 | 16 | 2 | 0 | 0.81 | 2 | 10 | ||
3 | Mark Scheifele | 0 | C | 48 | 16 | 21 | 37 | -1 | 28 | 0 | 75 | 158 | 43 | 77 | 10.13% | 31 | 19.93 | 6 | 11 | 17 | 134 | 0 | 1 | 1 | 55 | 3 | 0 | 53.71% | 674 | 45 | 17 | 1 | 0 | 0.77 | 2 | 11 | ||
4 | Seth Jones | 0 | D | 48 | 7 | 22 | 29 | -1 | 26 | 0 | 54 | 100 | 40 | 41 | 7.00% | 62 | 27.99 | 5 | 10 | 15 | 187 | 0 | 0 | 0 | 126 | 3 | 1 | 0.00% | 0 | 31 | 49 | 0 | 0 | 0.43 | 0 | 0 | ||
5 | Martin Necas | 0 | C/LW/RW | 48 | 9 | 15 | 24 | -4 | 12 | 0 | 73 | 61 | 19 | 54 | 14.75% | 17 | 20.73 | 5 | 11 | 16 | 170 | 1 | 0 | 1 | 125 | 2 | 2 | 50.00% | 48 | 9 | 23 | 1 | 0 | 0.48 | 1 | 2 | ||
6 | Nino Niederreiter | 0 | RW | 48 | 11 | 8 | 19 | 7 | 46 | 0 | 77 | 83 | 21 | 47 | 13.25% | 14 | 19.61 | 3 | 3 | 6 | 127 | 0 | 0 | 0 | 0 | 3 | 2 | 28.57% | 70 | 12 | 17 | 0 | 0 | 0.40 | 0 | 2 | ||
7 | Rickard Rakell | 0 | LW | 48 | 5 | 10 | 15 | -7 | 8 | 0 | 56 | 106 | 32 | 56 | 4.72% | 10 | 13.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 50.00% | 28 | 29 | 9 | 0 | 0 | 0.46 | 0 | 2 | ||
8 | Cody Ceci | 0 | D | 48 | 3 | 7 | 10 | -4 | 10 | 0 | 66 | 38 | 18 | 12 | 7.89% | 45 | 20.50 | 2 | 4 | 6 | 189 | 0 | 1 | 1 | 28 | 0 | 0 | 0.00% | 0 | 7 | 27 | 0 | 0 | 0.20 | 1 | 1 | ||
9 | Zach Werenski | 0 | D | 48 | 4 | 6 | 10 | 0 | 20 | 0 | 34 | 76 | 28 | 29 | 5.26% | 41 | 23.19 | 2 | 2 | 4 | 116 | 0 | 0 | 0 | 124 | 0 | 0 | 0.00% | 0 | 39 | 33 | 0 | 0 | 0.18 | 0 | 0 | ||
10 | Cale Fleury | 0 | D | 48 | 0 | 9 | 9 | 6 | 20 | 0 | 79 | 46 | 12 | 31 | 0.00% | 57 | 21.47 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 4 | 1 | 34 | 0 | 0 | 0.17 | 0 | 0 | ||
11 | Danton Heinen | 0 | LW | 48 | 4 | 3 | 7 | -12 | 2 | 0 | 43 | 49 | 23 | 36 | 8.16% | 6 | 14.76 | 2 | 2 | 4 | 130 | 0 | 0 | 0 | 49 | 0 | 0 | 38.89% | 252 | 11 | 4 | 0 | 0 | 0.20 | 0 | 0 | ||
12 | Mike Matheson | 0 | D | 48 | 2 | 5 | 7 | -8 | 2 | 0 | 34 | 35 | 16 | 16 | 5.71% | 27 | 17.96 | 1 | 3 | 4 | 116 | 0 | 0 | 0 | 99 | 0 | 0 | 0.00% | 0 | 17 | 26 | 0 | 0 | 0.16 | 0 | 0 | ||
13 | Alex Nylander | 0 | LW | 48 | 3 | 3 | 6 | -5 | 0 | 0 | 37 | 77 | 41 | 52 | 3.90% | 8 | 13.15 | 1 | 0 | 1 | 9 | 0 | 0 | 0 | 34 | 1 | 0 | 58.33% | 12 | 13 | 8 | 0 | 0 | 0.19 | 1 | 1 | ||
14 | Adam Larsson | 0 | D | 48 | 0 | 3 | 3 | -7 | 24 | 0 | 45 | 16 | 8 | 4 | 0.00% | 24 | 14.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0 | 0 | 0.00% | 0 | 4 | 17 | 0 | 0 | 0.09 | 0 | 0 | ||
15 | Austin Watson | 0 | LW | 48 | 2 | 0 | 2 | 0 | 18 | 0 | 52 | 24 | 8 | 20 | 8.33% | 8 | 6.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 6 | 2 | 2 | 0 | 0 | 0.13 | 0 | 0 | ||
16 | Frederik Gauthier | 0 | C | 48 | 0 | 1 | 1 | 0 | 4 | 0 | 17 | 11 | 8 | 9 | 0.00% | 4 | 6.94 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 2 | 0 | 0 | 46.81% | 141 | 1 | 4 | 0 | 0 | 0.06 | 0 | 1 | ||
17 | A.J. Greer | 0 | LW | 4 | 0 | 0 | 0 | -4 | 6 | 0 | 3 | 0 | 0 | 0 | 0.00% | 1 | 12.34 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Gavin Bayreuther | 0 | D | 44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.75 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Ryan Hartman | 0 | RW | 48 | 0 | 0 | 0 | -8 | 30 | 0 | 49 | 42 | 17 | 35 | 0.00% | 11 | 10.83 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 8 | 8 | 7 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 864 | 105 | 169 | 274 | -38 | 325 | 15 | 923 | 1296 | 472 | 752 | 8.10% | 411 | 16.64 | 47 | 73 | 120 | 1542 | 2 | 3 | 5 | 922 | 19 | 7 | 52.54% | 2851 | 315 | 317 | 4 | 0 | 0.38 | 9 | 41 |
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 | Pavel Francouz | 44 | 24 | 15 | 5 | 0.925 | 2.07 | 2639 | 0 | 1 | 91 | 1216 | 534 | 3 | 1 | 0.818 | 33 | 44 | 0 | 7 | 7 | 4 | |
2 | Anton Forsberg | 6 | 1 | 2 | 1 | 0.915 | 2.66 | 293 | 2 | 0 | 13 | 153 | 75 | 0 | 0 | 0.800 | 5 | 4 | 43 | 1 | 0 | 0 | |
Team Total or Average | 50 | 25 | 17 | 6 | 0.924 | 2.13 | 2932 | 2 | 1 | 104 | 1369 | 609 | 3 | 1 | 0.816 | 38 | 48 | 43 | 8 | 7 | 4 |
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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 21 | 3 | 5 | 13 | 0 | 28 | 4 | 4 | 20 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 17 | 8 | 23 | 9 | 19 | 9 | 33.3% | 4.8% | 92.9% | 97.6 | DULL | |
2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 7 | 13 | 0 | 0 | 0 | 3 | 3 | 0 | 92 | 30 | 34 | 28 | 0 | 92 | 23 | 26 | 60 | 13 | 4 | 30.77% | 13 | 5 | 61.54% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 64 | 36 | 63 | 27 | 52 | 27 | 40.0% | 6.5% | 91.3% | 97.8 | DULL | |
3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 0 | 3 | 0.750 | 3 | 4 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 54 | 23 | 13 | 16 | 8 | 47 | 11 | 10 | 44 | 8 | 2 | 25.00% | 5 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 47 | 27 | 38 | 19 | 38 | 19 | 25.0% | 5.6% | 93.6% | 99.2 | DULL | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 26 | 15 | 3 | 8 | 0 | 30 | 7 | 8 | 12 | 4 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 21 | 12 | 21 | 9 | 17 | 9 | 50.0% | 3.8% | 90.0% | 93.8 | Unlucky | |
5 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 5 | -2 | 1 | 0.250 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 60 | 22 | 21 | 17 | 0 | 52 | 11 | 14 | 30 | 5 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 41 | 23 | 43 | 18 | 35 | 17 | 37.5% | 5.0% | 90.4% | 95.4 | Unlucky | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 3 | 0 | 57 | 16 | 22 | 19 | 0 | 58 | 21 | 14 | 29 | 5 | 1 | 20.00% | 7 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 40 | 20 | 42 | 18 | 37 | 18 | 71.4% | 10.5% | 96.6% | 107.1 | LUCKY | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 0 | 3 | 0 | 35 | 12 | 9 | 14 | 0 | 42 | 12 | 6 | 28 | 6 | 3 | 50.00% | 3 | 1 | 66.67% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 22 | 13 | 21 | 8 | 16 | 8 | 33.3% | 11.4% | 92.9% | 104.3 | LUCKY | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 53 | 14 | 20 | 19 | 0 | 61 | 19 | 16 | 34 | 6 | 1 | 16.67% | 8 | 3 | 62.50% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 42 | 23 | 42 | 17 | 35 | 17 | 100.0% | 3.8% | 95.1% | 98.9 | DULL | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 2 | 4 | 0 | 59 | 20 | 11 | 28 | 0 | 52 | 14 | 10 | 45 | 9 | 3 | 33.33% | 5 | 2 | 60.00% | 1 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 44 | 24 | 39 | 17 | 35 | 19 | 100.0% | 10.2% | 96.2% | 106.3 | LUCKY | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 14 | 24 | 0 | 0 | 3 | 3 | 4 | 0 | 48 | 7 | 23 | 18 | 0 | 70 | 23 | 21 | 22 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 33 | 17 | 50 | 18 | 35 | 17 | 72.7% | 20.8% | 94.3% | 115.1 | LUCKY | |
11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 3 | 0 | 4 | 0 | 52 | 19 | 18 | 15 | 0 | 66 | 15 | 7 | 40 | 10 | 3 | 30.00% | 1 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 46 | 26 | 39 | 16 | 34 | 18 | 66.7% | 13.5% | 97.0% | 110.4 | LUCKY | |
12 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 4 | 8 | 0 | 0 | 1 | 1 | 1 | 1 | 51 | 11 | 21 | 19 | 2 | 46 | 19 | 33 | 39 | 9 | 2 | 22.22% | 10 | 3 | 70.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 43 | 22 | 41 | 18 | 39 | 21 | 33.3% | 7.8% | 84.8% | 92.6 | Unlucky | |
13 | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 11 | 10 | 1 | 4 | 0.500 | 11 | 20 | 31 | 0 | 0 | 0 | 2 | 8 | 1 | 97 | 26 | 24 | 47 | 3 | 100 | 33 | 28 | 80 | 18 | 5 | 27.78% | 14 | 4 | 71.43% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 89 | 51 | 82 | 37 | 72 | 38 | 50.0% | 11.3% | 90.0% | 101.3 | FUN | |
14 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 6 | 1 | 3 | 0.750 | 7 | 11 | 18 | 0 | 0 | 1 | 3 | 3 | 0 | 58 | 17 | 28 | 13 | 3 | 63 | 17 | 14 | 33 | 8 | 2 | 25.00% | 7 | 3 | 57.14% | 1 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 48 | 27 | 38 | 18 | 37 | 19 | 62.5% | 12.1% | 90.5% | 102.5 | FUN | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 59 | 16 | 17 | 26 | 0 | 62 | 23 | 6 | 31 | 9 | 1 | 11.11% | 3 | 1 | 66.67% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 41 | 22 | 42 | 18 | 36 | 18 | 33.3% | 5.1% | 91.9% | 97.0 | DULL | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 24 | 7 | 2 | 15 | 0 | 19 | 6 | 2 | 17 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 21 | 11 | 18 | 9 | 19 | 10 | 50.0% | 8.3% | 94.7% | 103.1 | DULL | |
17 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 57 | 14 | 24 | 16 | 6 | 65 | 21 | 18 | 41 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 40 | 20 | 45 | 20 | 38 | 18 | 37.5% | 7.0% | 89.2% | 96.2 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 13 | 7 | 9 | 0 | 28 | 9 | 6 | 19 | 6 | 1 | 16.67% | 2 | 1 | 50.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 20 | 11 | 20 | 9 | 18 | 9 | 0.0% | 3.4% | 89.3% | 92.7 | Unlucky | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 1 | 1 | 16 | 5 | 4 | 7 | 3 | 30 | 6 | 6 | 17 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 22 | 10 | 20 | 10 | 22 | 11 | 66.7% | 12.5% | 96.7% | 109.2 | LUCKY | |
20 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 1 | 30 | 10 | 8 | 11 | 4 | 32 | 11 | 10 | 25 | 5 | 1 | 20.00% | 5 | 3 | 40.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 23 | 12 | 20 | 10 | 20 | 10 | 66.7% | 10.0% | 87.5% | 97.5 | FUN | |
21 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 8 | -2 | 4 | 0.667 | 6 | 8 | 14 | 0 | 1 | 1 | 2 | 2 | 1 | 78 | 23 | 35 | 19 | 4 | 66 | 21 | 10 | 71 | 12 | 3 | 25.00% | 6 | 2 | 66.67% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 71 | 40 | 55 | 27 | 58 | 30 | 33.3% | 7.7% | 87.9% | 95.6 | Unlucky | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 57 | 14 | 25 | 18 | 0 | 47 | 19 | 4 | 38 | 9 | 2 | 22.22% | 2 | 1 | 50.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 44 | 24 | 40 | 17 | 35 | 19 | 40.0% | 7.0% | 91.5% | 98.5 | DULL | |
23 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 3 | 6 | 0 | 0 | 1 | 0 | 1 | 1 | 51 | 16 | 15 | 18 | 5 | 72 | 24 | 16 | 35 | 10 | 1 | 10.00% | 8 | 2 | 75.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 42 | 21 | 44 | 19 | 37 | 18 | 50.0% | 5.9% | 94.4% | 100.3 | DULL | |
24 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 0 | 2 | 0 | 0 | 44 | 11 | 16 | 17 | 0 | 56 | 14 | 14 | 41 | 5 | 2 | 40.00% | 7 | 2 | 71.43% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 42 | 23 | 41 | 16 | 36 | 18 | 0.0% | 4.5% | 91.1% | 95.6 | Unlucky | |
25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 33 | 14 | 7 | 11 | 4 | 33 | 6 | 14 | 24 | 7 | 3 | 42.86% | 7 | 2 | 71.43% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 22 | 12 | 22 | 10 | 19 | 9 | 25.0% | 12.1% | 84.8% | 97.0 | FUN | |
26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 22 | 11 | 8 | 3 | 0 | 21 | 11 | 2 | 32 | 6 | 2 | 33.33% | 1 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 21 | 10 | 19 | 9 | 19 | 10 | 50.0% | 13.6% | 95.2% | 108.9 | LUCKY | |
27 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 1 | 1 | 0 | 2 | 33 | 14 | 10 | 8 | 8 | 32 | 11 | 8 | 16 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 21 | 12 | 24 | 10 | 18 | 8 | 50.0% | 9.1% | 93.8% | 102.8 | LUCKY | |
_Vs Division | 15 | 6 | 7 | 0 | 0 | 0 | 2 | 0 | 34 | 35 | -1 | 16 | 0.533 | 34 | 53 | 87 | 1 | 1 | 5 | 13 | 14 | 2 | 379 | 97 | 135 | 146 | 7 | 415 | 133 | 95 | 279 | 55 | 14 | 25.45% | 43 | 13 | 69.77% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 320 | 178 | 314 | 137 | 274 | 141 | 47.6% | 9.0% | 91.6% | 100.5 | LUCKY | |
_Vs Conference | 28 | 12 | 12 | 0 | 0 | 0 | 3 | 1 | 64 | 63 | 1 | 31 | 0.554 | 64 | 101 | 165 | 1 | 1 | 12 | 20 | 29 | 4 | 742 | 221 | 259 | 257 | 21 | 787 | 246 | 170 | 535 | 113 | 28 | 24.78% | 78 | 23 | 70.51% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 601 | 333 | 588 | 258 | 510 | 263 | 47.4% | 8.6% | 92.0% | 100.6 | DULL | |
_Since Last GM Reset | 48 | 19 | 17 | 0 | 0 | 1 | 6 | 5 | 111 | 110 | 1 | 56 | 0.583 | 111 | 169 | 280 | 1 | 1 | 18 | 35 | 52 | 8 | 1296 | 403 | 430 | 452 | 50 | 1370 | 411 | 327 | 923 | 196 | 47 | 23.98% | 149 | 40 | 73.15% | 2 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 1039 | 570 | 1006 | 449 | 889 | 458 | 47.8% | 8.6% | 92.0% | 100.5 | DULL | |
Total | 48 | 19 | 17 | 0 | 0 | 1 | 6 | 5 | 111 | 110 | 1 | 56 | 0.583 | 111 | 169 | 280 | 1 | 1 | 18 | 35 | 52 | 8 | 1296 | 403 | 430 | 452 | 50 | 1370 | 411 | 327 | 923 | 196 | 47 | 23.98% | 149 | 40 | 73.15% | 2 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 1039 | 570 | 1006 | 449 | 889 | 458 | 47.8% | 8.6% | 92.0% | 100.5 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1112 |
Neutral Zone Start | 623 |
Defensive Zone Start | 1116 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1498 |
Faceoffs Lost | 1353 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.4 | 9.57 |
2nd Period | 17.4 | 20.31 |
3rd Period | 26.8 | 30.68 |
Overtime | 27.8 | 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 | 2.2 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 61 |
---|---|
PP Goal | 47 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 14 | 11 |
Lost | 7 | 10 |
Overtime Lost | 3 | 3 |
PP Attempt | 196 |
---|---|
PP Goal | 47 |
PK Attempt | 149 |
PK Goal Against | 40 |
Home | |
---|---|
Shots For | 27.0 |
Shots Against | 28.5 |
Goals For | 2.3 |
Goals Against | 2.3 |
Hits | 19.2 |
Shots Blocked | 8.6 |
Pim | 6.8 |
Projected Total Cap Hit | 63,475,332$ |
Projected Cap Space | 18,024,668$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 36,856,620$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Jets Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
A.J. Greer ![]() | LW | 22 | 735,000$ | 735,000$ | |||||||
Adam Larsson ![]() | D | 26 | 4,167,000$ | 4,167,000$ | |||||||
Aleksander Barkov ![]() | C | 24 | 5,900,000$ | 5,900,000$ | 5,900,000$ | ||||||
Alex Nylander ![]() | LW | 21 | 863,333$ | 863,333$ | 863,333$ | ||||||
Anton Forsberg ![]() | G | 26 | 775,000$ | 775,000$ | |||||||
Austin Watson ![]() | LW | 27 | 1,100,000$ | 1,100,000$ | |||||||
Cale Fleury ![]() | D | 20 | 771,666$ | 771,666$ | 771,666$ | ||||||
Cody Ceci ![]() | D | 25 | 4,500,000$ | 4,500,000$ | |||||||
Danton Heinen ![]() | LW | 24 | 2,800,000$ | 2,800,000$ | 2,800,000$ | ||||||
Frederik Gauthier ![]() | C | 24 | 675,000$ | 675,000$ | |||||||
Gavin Bayreuther ![]() | D | 25 | 700,000$ | 700,000$ | |||||||
J-F Berube ![]() | G | 28 | 700,000$ | 700,000$ | |||||||
Mark Scheifele ![]() | C | 26 | 6,125,000$ | 6,125,000$ | 6,125,000$ | ||||||
Martin Necas ![]() | C/LW/RW | 20 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | |||||
Mike Matheson ![]() | D | 25 | 4,875,000$ | 4,875,000$ | 4,875,000$ | 4,875,000$ | 4,875,000$ | 4,875,000$ | 4,875,000$ | 4,875,000$ | |
Nino Niederreiter ![]() | RW | 27 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | |||||
Pavel Francouz ![]() | G | 29 | 950,000$ | 950,000$ | |||||||
Rickard Rakell ![]() | LW | 26 | 3,800,000$ | 3,800,000$ | 3,800,000$ | ||||||
Ryan Hartman ![]() | RW | 25 | 1,900,000$ | 1,900,000$ | 1,900,000$ | ||||||
Seth Jones ![]() | D | 24 | 5,400,000$ | 5,400,000$ | 5,400,000$ | ||||||
Tomas Hertl ![]() | C | 25 | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | |||||
Zach Werenski ![]() | D | 22 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 21 | 3 | 5 | 13 | 0 | 28 | 4 | 4 | 20 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 17 | 8 | 23 | 9 | 19 | 9 | 33.3% | 4.8% | 92.9% | 97.6 | DULL | |
2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 7 | 13 | 0 | 0 | 0 | 3 | 3 | 0 | 92 | 30 | 34 | 28 | 0 | 92 | 23 | 26 | 60 | 13 | 4 | 30.77% | 13 | 5 | 61.54% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 64 | 36 | 63 | 27 | 52 | 27 | 40.0% | 6.5% | 91.3% | 97.8 | DULL | |
3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 0 | 3 | 0.750 | 3 | 4 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 54 | 23 | 13 | 16 | 8 | 47 | 11 | 10 | 44 | 8 | 2 | 25.00% | 5 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 47 | 27 | 38 | 19 | 38 | 19 | 25.0% | 5.6% | 93.6% | 99.2 | DULL | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 26 | 15 | 3 | 8 | 0 | 30 | 7 | 8 | 12 | 4 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 21 | 12 | 21 | 9 | 17 | 9 | 50.0% | 3.8% | 90.0% | 93.8 | Unlucky | |
5 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 5 | -2 | 1 | 0.250 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 60 | 22 | 21 | 17 | 0 | 52 | 11 | 14 | 30 | 5 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 41 | 23 | 43 | 18 | 35 | 17 | 37.5% | 5.0% | 90.4% | 95.4 | Unlucky | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 3 | 0 | 57 | 16 | 22 | 19 | 0 | 58 | 21 | 14 | 29 | 5 | 1 | 20.00% | 7 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 40 | 20 | 42 | 18 | 37 | 18 | 71.4% | 10.5% | 96.6% | 107.1 | LUCKY | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 0 | 3 | 0 | 35 | 12 | 9 | 14 | 0 | 42 | 12 | 6 | 28 | 6 | 3 | 50.00% | 3 | 1 | 66.67% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 22 | 13 | 21 | 8 | 16 | 8 | 33.3% | 11.4% | 92.9% | 104.3 | LUCKY | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 53 | 14 | 20 | 19 | 0 | 61 | 19 | 16 | 34 | 6 | 1 | 16.67% | 8 | 3 | 62.50% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 42 | 23 | 42 | 17 | 35 | 17 | 100.0% | 3.8% | 95.1% | 98.9 | DULL | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 2 | 4 | 0 | 59 | 20 | 11 | 28 | 0 | 52 | 14 | 10 | 45 | 9 | 3 | 33.33% | 5 | 2 | 60.00% | 1 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 44 | 24 | 39 | 17 | 35 | 19 | 100.0% | 10.2% | 96.2% | 106.3 | LUCKY | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 14 | 24 | 0 | 0 | 3 | 3 | 4 | 0 | 48 | 7 | 23 | 18 | 0 | 70 | 23 | 21 | 22 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 33 | 17 | 50 | 18 | 35 | 17 | 72.7% | 20.8% | 94.3% | 115.1 | LUCKY | |
11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 3 | 0 | 4 | 0 | 52 | 19 | 18 | 15 | 0 | 66 | 15 | 7 | 40 | 10 | 3 | 30.00% | 1 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 46 | 26 | 39 | 16 | 34 | 18 | 66.7% | 13.5% | 97.0% | 110.4 | LUCKY | |
12 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 4 | 8 | 0 | 0 | 1 | 1 | 1 | 1 | 51 | 11 | 21 | 19 | 2 | 46 | 19 | 33 | 39 | 9 | 2 | 22.22% | 10 | 3 | 70.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 43 | 22 | 41 | 18 | 39 | 21 | 33.3% | 7.8% | 84.8% | 92.6 | Unlucky | |
13 | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 11 | 10 | 1 | 4 | 0.500 | 11 | 20 | 31 | 0 | 0 | 0 | 2 | 8 | 1 | 97 | 26 | 24 | 47 | 3 | 100 | 33 | 28 | 80 | 18 | 5 | 27.78% | 14 | 4 | 71.43% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 89 | 51 | 82 | 37 | 72 | 38 | 50.0% | 11.3% | 90.0% | 101.3 | FUN | |
14 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 6 | 1 | 3 | 0.750 | 7 | 11 | 18 | 0 | 0 | 1 | 3 | 3 | 0 | 58 | 17 | 28 | 13 | 3 | 63 | 17 | 14 | 33 | 8 | 2 | 25.00% | 7 | 3 | 57.14% | 1 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 48 | 27 | 38 | 18 | 37 | 19 | 62.5% | 12.1% | 90.5% | 102.5 | FUN | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 59 | 16 | 17 | 26 | 0 | 62 | 23 | 6 | 31 | 9 | 1 | 11.11% | 3 | 1 | 66.67% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 41 | 22 | 42 | 18 | 36 | 18 | 33.3% | 5.1% | 91.9% | 97.0 | DULL | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 24 | 7 | 2 | 15 | 0 | 19 | 6 | 2 | 17 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 21 | 11 | 18 | 9 | 19 | 10 | 50.0% | 8.3% | 94.7% | 103.1 | DULL | |
17 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 57 | 14 | 24 | 16 | 6 | 65 | 21 | 18 | 41 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 40 | 20 | 45 | 20 | 38 | 18 | 37.5% | 7.0% | 89.2% | 96.2 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 13 | 7 | 9 | 0 | 28 | 9 | 6 | 19 | 6 | 1 | 16.67% | 2 | 1 | 50.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 20 | 11 | 20 | 9 | 18 | 9 | 0.0% | 3.4% | 89.3% | 92.7 | Unlucky | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 1 | 1 | 16 | 5 | 4 | 7 | 3 | 30 | 6 | 6 | 17 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 22 | 10 | 20 | 10 | 22 | 11 | 66.7% | 12.5% | 96.7% | 109.2 | LUCKY | |
20 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 1 | 30 | 10 | 8 | 11 | 4 | 32 | 11 | 10 | 25 | 5 | 1 | 20.00% | 5 | 3 | 40.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 23 | 12 | 20 | 10 | 20 | 10 | 66.7% | 10.0% | 87.5% | 97.5 | FUN | |
21 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 8 | -2 | 4 | 0.667 | 6 | 8 | 14 | 0 | 1 | 1 | 2 | 2 | 1 | 78 | 23 | 35 | 19 | 4 | 66 | 21 | 10 | 71 | 12 | 3 | 25.00% | 6 | 2 | 66.67% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 71 | 40 | 55 | 27 | 58 | 30 | 33.3% | 7.7% | 87.9% | 95.6 | Unlucky | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 57 | 14 | 25 | 18 | 0 | 47 | 19 | 4 | 38 | 9 | 2 | 22.22% | 2 | 1 | 50.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 44 | 24 | 40 | 17 | 35 | 19 | 40.0% | 7.0% | 91.5% | 98.5 | DULL | |
23 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 3 | 6 | 0 | 0 | 1 | 0 | 1 | 1 | 51 | 16 | 15 | 18 | 5 | 72 | 24 | 16 | 35 | 10 | 1 | 10.00% | 8 | 2 | 75.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 42 | 21 | 44 | 19 | 37 | 18 | 50.0% | 5.9% | 94.4% | 100.3 | DULL | |
24 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 0 | 2 | 0 | 0 | 44 | 11 | 16 | 17 | 0 | 56 | 14 | 14 | 41 | 5 | 2 | 40.00% | 7 | 2 | 71.43% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 42 | 23 | 41 | 16 | 36 | 18 | 0.0% | 4.5% | 91.1% | 95.6 | Unlucky | |
25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 33 | 14 | 7 | 11 | 4 | 33 | 6 | 14 | 24 | 7 | 3 | 42.86% | 7 | 2 | 71.43% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 22 | 12 | 22 | 10 | 19 | 9 | 25.0% | 12.1% | 84.8% | 97.0 | FUN | |
26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 22 | 11 | 8 | 3 | 0 | 21 | 11 | 2 | 32 | 6 | 2 | 33.33% | 1 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 21 | 10 | 19 | 9 | 19 | 10 | 50.0% | 13.6% | 95.2% | 108.9 | LUCKY | |
27 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 1 | 1 | 0 | 2 | 33 | 14 | 10 | 8 | 8 | 32 | 11 | 8 | 16 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 21 | 12 | 24 | 10 | 18 | 8 | 50.0% | 9.1% | 93.8% | 102.8 | LUCKY | |
_Vs Division | 15 | 6 | 7 | 0 | 0 | 0 | 2 | 0 | 34 | 35 | -1 | 16 | 0.533 | 34 | 53 | 87 | 1 | 1 | 5 | 13 | 14 | 2 | 379 | 97 | 135 | 146 | 7 | 415 | 133 | 95 | 279 | 55 | 14 | 25.45% | 43 | 13 | 69.77% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 320 | 178 | 314 | 137 | 274 | 141 | 47.6% | 9.0% | 91.6% | 100.5 | LUCKY | |
_Vs Conference | 28 | 12 | 12 | 0 | 0 | 0 | 3 | 1 | 64 | 63 | 1 | 31 | 0.554 | 64 | 101 | 165 | 1 | 1 | 12 | 20 | 29 | 4 | 742 | 221 | 259 | 257 | 21 | 787 | 246 | 170 | 535 | 113 | 28 | 24.78% | 78 | 23 | 70.51% | 0 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 601 | 333 | 588 | 258 | 510 | 263 | 47.4% | 8.6% | 92.0% | 100.6 | DULL | |
_Since Last GM Reset | 48 | 19 | 17 | 0 | 0 | 1 | 6 | 5 | 111 | 110 | 1 | 56 | 0.583 | 111 | 169 | 280 | 1 | 1 | 18 | 35 | 52 | 8 | 1296 | 403 | 430 | 452 | 50 | 1370 | 411 | 327 | 923 | 196 | 47 | 23.98% | 149 | 40 | 73.15% | 2 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 1039 | 570 | 1006 | 449 | 889 | 458 | 47.8% | 8.6% | 92.0% | 100.5 | DULL | |
Total | 48 | 19 | 17 | 0 | 0 | 1 | 6 | 5 | 111 | 110 | 1 | 56 | 0.583 | 111 | 169 | 280 | 1 | 1 | 18 | 35 | 52 | 8 | 1296 | 403 | 430 | 452 | 50 | 1370 | 411 | 327 | 923 | 196 | 47 | 23.98% | 149 | 40 | 73.15% | 2 | 578 | 1112 | 51.98% | 576 | 1116 | 51.61% | 344 | 623 | 55.22% | 1039 | 570 | 1006 | 449 | 889 | 458 | 47.8% | 8.6% | 92.0% | 100.5 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1112 |
Neutral Zone Start | 623 |
Defensive Zone Start | 1116 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1498 |
Faceoffs Lost | 1353 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.4 | 9.57 |
2nd Period | 17.4 | 20.31 |
3rd Period | 26.8 | 30.68 |
Overtime | 27.8 | 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 | 2.2 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 61 |
---|---|
PP Goal | 47 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 14 | 11 |
Lost | 7 | 10 |
Overtime Lost | 3 | 3 |
PP Attempt | 196 |
---|---|
PP Goal | 47 |
PK Attempt | 149 |
PK Goal Against | 40 |
Home | |
---|---|
Shots For | 27.0 |
Shots Against | 28.5 |
Goals For | 2.3 |
Goals Against | 2.3 |
Hits | 19.2 |
Shots Blocked | 8.6 |
Pim | 6.8 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-25 | @ | Jets1,Rangers3 | RECAP | ||
2020-10-26 | @ | Jets2,Devils1 (SO) | RECAP | ||
2020-10-28 | @ | Jets2,Islanders3 | RECAP | ||
2020-10-30 | @ | Jets3,Penguins4 (SO) | RECAP | ||
2020-11-01 | @ | Wild0,Jets3 | RECAP | ||
2020-11-03 | @ | Jets1,Blackhawks3 | RECAP | ||
2020-11-04 | @ | Penguins2,Jets4 | RECAP | ||
2020-11-06 | @ | Coyotes3,Jets1 | RECAP | ||
2020-11-08 | @ | Islanders2,Jets1 (OT) | RECAP | ||
2020-11-11 | @ | Oilers1,Jets2 | RECAP | ||
2020-11-13 | @ | Kings3,Jets2 | RECAP | ||
2020-11-17 | @ | Flames1,Jets3 | RECAP | ||
2020-11-20 | @ | Jets2,Ducks4 | RECAP | ||
2020-11-23 | @ | Jets2,Sharks3 (SO) | RECAP | ||
2020-11-24 | @ | Jets3,Golden Knights2 (SO) | RECAP | ||
2020-11-27 | @ | Devils3,Jets1 | RECAP | ||
2020-11-30 | @ | Canucks1,Jets2 | RECAP | ||
2020-12-02 | @ | Stars5,Jets3 | RECAP | ||
2020-12-04 | @ | Avalanche2,Jets4 | RECAP | ||
2020-12-06 | @ | Jets3,Panthers4 (SO) | RECAP | ||
2020-12-08 | @ | Jets3,Lightning1 | RECAP | ||
2020-12-11 | @ | Jets2,Predators1 | RECAP | ||
2020-12-13 | @ | Jets0,Stars1 | RECAP | ||
2020-12-15 | @ | Blue Jackets1,Jets2 (SO) | RECAP | ||
2020-12-19 | @ | Jets2,Sharks4 | RECAP | ||
2020-12-21 | @ | Jets1,Ducks3 | RECAP | ||
2020-12-22 | @ | Jets2,Kings1 | RECAP | ||
2020-12-25 | @ | Stars1,Jets4 | RECAP | ||
2020-12-27 | @ | Jets4,Stars3 (SO) | RECAP | ||
2020-12-30 | @ | Ducks1,Jets3 | RECAP | ||
2021-01-01 | @ | Red Wings1,Jets3 | RECAP | ||
2021-01-03 | @ | Jets3,Red Wings1 | RECAP | ||
2021-01-06 | @ | Flyers3,Jets4 | RECAP | ||
2021-01-08 | @ | Hurricanes5,Jets4 (SO) | RECAP | ||
2021-01-10 | @ | Blackhawks2,Jets1 | RECAP | ||
2021-01-12 | @ | Jets1,Wild7 | RECAP | ||
2021-01-14 | @ | Canadiens2,Jets1 (SO) | RECAP | ||
2021-01-18 | @ | Blues2,Jets0 | RECAP | ||
2021-01-20 | @ | Jets2,Blues1 | RECAP | ||
2021-01-22 | @ | Jets6,Avalanche2 | RECAP | ||
2021-01-24 | @ | Maple Leafs2,Jets3 (SO) | RECAP | ||
2021-01-26 | @ | Jets2,Wild1 (SO) | RECAP | ||
2021-01-28 | @ | Jets2,Canadiens1 | RECAP | ||
2021-01-30 | @ | Jets1,Maple Leafs5 | RECAP | ||
2021-01-31 | @ | Jets1,Bruins2 | RECAP | ||
2021-02-03 | @ | Predators4,Jets1 | RECAP | ||
2021-02-05 | @ | Canucks1,Jets5 | RECAP | ||
2021-02-08 | @ | Lightning1,Jets3 | RECAP | ||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
63,475,332$ | 0$ | 63,475,332$ | 18,024,668$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | MTS Center | |
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 | 136868 | 113320 | 44654 | 89540 | 22945 |
Attendance PCT | 95.05% | 94.43% | 93.03% | 93.27% | 95.60% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
17 | 16972 - 94.29% | 613,623$ | 14,726,959$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
63,475,332$ | 63,475,332$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
36,856,620$ | 63,475,332$ | 36,856,620$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
10,431,596$ | 78 | 341,265$ | 26,618,670$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
26,618,670$ | 63,475,332$ | -293,351,138$ | -309,538,212$ |
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 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
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 |
---|---|---|---|---|---|
1 ballo win 2021 | |||||
2 ballo win 2021 | |||||
Adam Erne | |||||
Albert Johansson | 2019 | 74 | |||
Alexander Romanov | |||||
Anthony DeAngelo | |||||
Anthony Romano | 2019 | 185 | |||
Austin Carroll | |||||
Bogdan Trineyev | 2020 | 123 | |||
Brandon Bollig | |||||
Cam York | 2019 | 14 | |||
Chris Butler | Link | ||||
Cole Brady | 2019 | 123 | |||
Cole Krygier | 2018 | 200 | |||
Davis Drewiske | |||||
Dominik Bokk | |||||
Dylan Peterson | 2020 | 92 | |||
Emil Heineman | 2020 | 61 | |||
Eric Engstrand | 2020 | 157 | |||
Filip Gustavsson | 2016 | 53 | |||
Filip Johansson | 2018 | 45 | |||
Hendrix Lapierre | 2020 | 17 | |||
Ilya Bryzgalov | |||||
Jake Oettinger | 2017 | 22 | |||
Jake Ryczek | 2016 | 196 | |||
Jake Sanderson | 2020 | 10 | |||
Jakob Ragnarsson | 2018 | 91 | |||
Jakub Konecny | 2020 | 216 | |||
Jonas Gustavsson | |||||
Joona Koppanen | 2016 | 139 | |||
Karri Ramo | |||||
Kole Lind | |||||
Luke Martin | |||||
Marc-Andre Bourdon | |||||
Marek Zidlicky | |||||
Matias Rajaniemi | 2020 | 185 | |||
Matt Carkner | |||||
Matt Filipe | 2016 | 93 | |||
Maxim Cajkovic | 2019 | 97 | |||
Maxim Mamin | Link | ||||
McKade Webster | 2019 | 216 | |||
Michael Vukojevic | 2019 | 92 | |||
Patrick Kudla | 2016 | 173 | |||
Patrick Wiercioch | |||||
Paul Postma | |||||
Pavel Dorofeyev | 2019 | 55 | |||
Philip Broberg | 2019 | 17 | |||
Pierre-Olivier Joseph | 2017 | 20 | |||
Rob O'Gara | |||||
Robert Mastrosimone | 2019 | 61 | |||
Ryan Stanton | |||||
Saku Salminen | |||||
Shane Bowers | |||||
Tomas Kaberle | |||||
William Dufour | 2020 | 154 | |||
Xavier Bernard | 2018 | 107 | |||
Yann Danis | |||||
Yaroslav Askarov | 2020 | 8 | |||
Yegor Chinakhov | 2020 | 30 | |||
andrew obrien | |||||
chris calnan | |||||
daniel altshuller | |||||
jake bischoff | |||||
matias marcantuoni | |||||
sean maguire |
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