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Full Scoreboard ยป |
Winnipeg Jets 20-7-10, 50pts · 3rd in Western Conference |
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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW | 100.00 | 85 | 25 | 62 | 99 | 76 | 94 | 96 | 97 | 99 | 99 | 99 | 67 | 37 | 82 | 83 | 70 | 56 | 85 | 27 | 8,100,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 45 | 1 | 99 | 91 | 62 | 99 | 99 | 90 | 30 | 97 | 93 | 43 | 76 | 81 | 88 | 87 | 60 | 78 | 34 | 10,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 58 | 14 | 99 | 84 | 83 | 99 | 85 | 86 | 40 | 88 | 91 | 62 | 36 | 70 | 71 | 37 | 60 | 77 | 31 | 5,500,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 54 | 3 | 95 | 94 | 75 | 98 | 72 | 91 | 45 | 99 | 84 | 52 | 55 | 71 | 72 | 83 | 60 | 77 | 31 | 5,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 61 | 12 | 99 | 89 | 76 | 90 | 90 | 83 | 33 | 81 | 80 | 60 | 63 | 72 | 74 | 72 | 60 | 75 | 30 | 5,500,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 57 | 5 | 99 | 85 | 82 | 92 | 91 | 81 | 86 | 86 | 80 | 65 | 63 | 67 | 69 | 78 | 60 | 75 | 31 | 5,500,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 50 | 2 | 98 | 84 | 75 | 91 | 92 | 76 | 38 | 71 | 84 | 71 | 90 | 70 | 73 | 80 | 60 | 74 | 32 | 3,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 4 | 98 | 87 | 68 | 87 | 99 | 78 | 28 | 72 | 78 | 64 | 41 | 70 | 72 | 73 | 60 | 72 | 31 | 1,250,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 50 | 2 | 99 | 80 | 68 | 94 | 88 | 77 | 55 | 83 | 77 | 64 | 43 | 70 | 72 | 77 | 60 | 72 | 32 | 2,850,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 51 | 1 | 99 | 88 | 67 | 95 | 95 | 80 | 53 | 84 | 72 | 38 | 25 | 72 | 74 | 72 | 63 | 71 | 31 | 2,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 5 | 95 | 81 | 75 | 88 | 91 | 76 | 30 | 70 | 71 | 63 | 45 | 77 | 78 | 64 | 60 | 71 | 32 | 750,000$/2yrs | |||
![]() | 0 | C | 100.00 | 64 | 26 | 86 | 69 | 84 | 96 | 79 | 79 | 96 | 78 | 64 | 55 | 68 | 84 | 90 | 76 | 60 | 71 | 38 | 700,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 24 | 88 | 82 | 69 | 72 | 60 | 68 | 79 | 82 | 82 | 77 | 75 | 53 | 53 | 79 | 60 | 71 | 21 | 2,250,000$/3yrs | |||
![]() | 0 | D | 100.00 | 58 | 3 | 99 | 83 | 74 | 99 | 92 | 81 | 25 | 69 | 60 | 85 | 25 | 77 | 80 | 73 | 60 | 76 | 33 | 5,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 12 | 99 | 87 | 81 | 96 | 98 | 66 | 22 | 61 | 54 | 89 | 25 | 79 | 79 | 56 | 60 | 76 | 29 | 5,500,000$/5yrs | |||
![]() | 0 | D | 100.00 | 75 | 20 | 86 | 82 | 79 | 99 | 94 | 60 | 25 | 54 | 48 | 99 | 25 | 65 | 66 | 67 | 60 | 76 | 31 | 6,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 56 | 3 | 99 | 88 | 73 | 99 | 98 | 81 | 25 | 63 | 49 | 80 | 63 | 78 | 82 | 62 | 60 | 75 | 32 | 4,500,000$/2yrs | |||
![]() | 55 | D | 100.00 | 90 | 40 | 85 | 76 | 80 | 80 | 93 | 63 | 25 | 54 | 47 | 90 | 25 | 76 | 80 | 63 | 60 | 75 | 32 | 2,850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 5 | 98 | 88 | 78 | 91 | 88 | 60 | 25 | 53 | 50 | 84 | 69 | 79 | 81 | 55 | 60 | 73 | 32 | 3,125,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 62 | 11 | 94 | 85 | 75 | 93 | 89 | 78 | 45 | 76 | 72 | 69 | 50 | 73 | 76 | 70 | 60 | 75 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 82 | 79 | 92 | 95 | 81 | 75 | 80 | 82 | 81 | 82 | 60 | 65 | 66 | 88 | 69 | 78 | 32 | 6,000,000$/1yrs |
![]() | 0 | 100.00 | 76 | 86 | 73 | 70 | 73 | 85 | 92 | 97 | 87 | 71 | 72 | 53 | 53 | 79 | 69 | 76 | 24 | 985,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 79 | 83 | 83 | 83 | 77 | 80 | 86 | 90 | 84 | 77 | 66 | 59 | 60 | 84 | 69 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Claude Julien | 99 | 90 | 86 | 74 | 99 | 99 | 76 | CAN | 62 | 5 | 2,500,000$ |
General Manager | Gunther Feldbaumer |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Rickard Rakell | 0 | LW | 37 | 15 | 21 | 36 | 6 | 8 | 0 | 44 | 85 | 29 | 51 | 17.65% | 13 | 15.86 | 3 | 6 | 9 | 64 | 0 | 0 | 0 | 0 | 2 | 2 | 37.97% | 79 | 19 | 14 | 0 | 0 | 1.23 | 0 | 0 | |
2 | Mark Stone | 0 | RW | 37 | 15 | 20 | 35 | 4 | 20 | 0 | 42 | 108 | 32 | 76 | 13.89% | 12 | 15.64 | 3 | 5 | 8 | 65 | 0 | 0 | 0 | 0 | 1 | 4 | 42.86% | 35 | 24 | 10 | 0 | 0 | 1.21 | 0 | 0 | |
3 | Dylan Larkin | 0 | C/LW | 37 | 13 | 21 | 34 | -9 | 85 | 5 | 90 | 138 | 48 | 98 | 9.42% | 30 | 20.95 | 2 | 5 | 7 | 65 | 0 | 0 | 0 | 59 | 1 | 1 | 54.17% | 936 | 34 | 18 | 2 | 0 | 0.88 | 1 | 6 | |
4 | Kevin Hayes | 0 | C/LW/RW | 37 | 10 | 16 | 26 | 7 | 14 | 0 | 41 | 103 | 29 | 60 | 9.71% | 14 | 17.70 | 2 | 2 | 4 | 65 | 0 | 0 | 0 | 86 | 0 | 1 | 54.08% | 527 | 13 | 13 | 0 | 0 | 0.79 | 0 | 0 | |
5 | Taylor Hall | 0 | C/LW | 37 | 11 | 13 | 24 | -8 | 8 | 0 | 36 | 105 | 27 | 65 | 10.48% | 13 | 21.51 | 1 | 4 | 5 | 66 | 0 | 1 | 1 | 87 | 4 | 2 | 35.00% | 120 | 26 | 10 | 0 | 0 | 0.60 | 1 | 1 | |
6 | Patrick Kane | 0 | RW | 37 | 8 | 13 | 21 | -6 | 4 | 0 | 29 | 103 | 33 | 63 | 7.77% | 19 | 21.80 | 4 | 3 | 7 | 66 | 0 | 0 | 0 | 86 | 2 | 2 | 22.22% | 54 | 27 | 12 | 0 | 0 | 0.52 | 2 | 5 | |
7 | Reilly Smith | 0 | LW/RW | 37 | 3 | 15 | 18 | 2 | 2 | 0 | 32 | 93 | 31 | 50 | 3.23% | 11 | 13.71 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 41 | 1 | 0 | 36.17% | 47 | 26 | 11 | 0 | 0 | 0.71 | 3 | 6 | |
8 | Jason Zucker | 0 | LW/RW | 37 | 9 | 6 | 15 | 2 | 2 | 0 | 39 | 84 | 32 | 47 | 10.71% | 16 | 12.60 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 1 | 0 | 36.84% | 19 | 19 | 5 | 0 | 0 | 0.64 | 0 | 0 | |
9 | Alex Pietrangelo | 0 | D | 37 | 1 | 13 | 14 | 7 | 8 | 0 | 34 | 49 | 22 | 20 | 2.04% | 51 | 23.17 | 0 | 2 | 2 | 63 | 0 | 0 | 0 | 99 | 0 | 1 | 0.00% | 0 | 9 | 30 | 0 | 0 | 0.33 | 0 | 0 | |
10 | Jakob Silfverberg | 0 | RW | 37 | 7 | 4 | 11 | 1 | 6 | 0 | 24 | 40 | 16 | 26 | 17.50% | 13 | 12.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 29.25% | 335 | 5 | 7 | 0 | 0 | 0.47 | 0 | 0 | |
11 | Esa Lindell | 0 | D | 37 | 1 | 8 | 9 | 7 | 8 | 0 | 32 | 41 | 24 | 16 | 2.44% | 57 | 23.16 | 0 | 1 | 1 | 63 | 0 | 0 | 0 | 93 | 0 | 0 | 0.00% | 0 | 3 | 34 | 0 | 0 | 0.21 | 0 | 0 | |
12 | Brayden McNabb | 55 | D | 37 | 0 | 7 | 7 | 8 | 22 | 0 | 48 | 20 | 7 | 7 | 0.00% | 30 | 13.45 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 1 | 19 | 0 | 0 | 0.28 | 0 | 0 | |
13 | Josh Manson | 0 | D | 37 | 0 | 7 | 7 | -10 | 26 | 0 | 63 | 31 | 22 | 20 | 0.00% | 40 | 23.66 | 0 | 1 | 1 | 68 | 0 | 1 | 1 | 86 | 0 | 0 | 0.00% | 0 | 2 | 19 | 0 | 0 | 0.16 | 0 | 0 | |
14 | Nick Leddy | 0 | D | 37 | 2 | 4 | 6 | -9 | 4 | 0 | 18 | 48 | 27 | 18 | 4.17% | 41 | 21.25 | 1 | 1 | 2 | 69 | 0 | 0 | 0 | 9 | 1 | 0 | 0.00% | 0 | 8 | 15 | 1 | 0 | 0.15 | 0 | 0 | |
15 | Richard Panik | 0 | LW/RW | 37 | 4 | 2 | 6 | 3 | 2 | 0 | 18 | 46 | 15 | 31 | 8.70% | 4 | 7.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 3 | 5 | 0 | 0 | 0.42 | 0 | 0 | |
16 | Anton Lundell | 0 | C/LW | 37 | 3 | 3 | 6 | 3 | 8 | 0 | 17 | 52 | 15 | 47 | 5.77% | 5 | 7.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0.00% | 5 | 11 | 7 | 0 | 0 | 0.42 | 0 | 0 | |
17 | Ryan Getzlaf | 0 | C | 37 | 2 | 3 | 5 | 3 | 8 | 0 | 15 | 31 | 12 | 27 | 6.45% | 2 | 7.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63.64% | 99 | 5 | 4 | 0 | 0 | 0.35 | 0 | 0 | |
18 | John Moore | 0 | D | 37 | 0 | 4 | 4 | 7 | 0 | 0 | 16 | 30 | 12 | 11 | 0.00% | 37 | 16.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 102 | 0 | 0 | 0.00% | 0 | 2 | 24 | 0 | 0 | 0.13 | 0 | 0 | |
19 | Mikael Granlund | 0 | C/LW/RW | 37 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 1.13 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 703 | 104 | 180 | 284 | 19 | 235 | 5 | 639 | 1207 | 433 | 733 | 8.62% | 408 | 15.67 | 16 | 30 | 46 | 665 | 1 | 2 | 3 | 785 | 17 | 13 | 47.59% | 2261 | 237 | 257 | 3 | 0 | 0.52 | 7 | 18 |
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 | Robin Lehner | Jets | 37 | 20 | 7 | 10 | 0.921 | 2.68 | 2220 | 2 | 1 | 99 | 1246 | 656 | 0 | 0 | 0.647 | 17 | 37 | 0 | 8 | 4 | 0 |
2 | Kirill Ustimenko | Jets | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 39 | 0 | 0 | 0 | 12 | 9 | 0 | 0 | 0.000 | 0 | 0 | 37 | 0 | 0 | 0 |
Team Total or Average | 38 | 20 | 7 | 10 | 0.921 | 2.63 | 2259 | 2 | 1 | 99 | 1258 | 665 | 0 | 0 | 0.647 | 17 | 37 | 37 | 8 | 4 | 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 |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 7 | 3 | 6 | 1.000 | 10 | 16 | 26 | 0 | 0 | 1 | 5 | 3 | 2 | 99 | 31 | 40 | 28 | 4 | 110 | 35 | 8 | 38 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 64 | 40 | 69 | 25 | 50 | 25 | 58.8% | 10.1% | 93.6% | 103.7 | LUCKY | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 2 | 0 | 27 | 10 | 8 | 9 | 0 | 32 | 16 | 6 | 17 | 6 | 2 | 33.33% | 3 | 1 | 66.67% | 0 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 20 | 12 | 22 | 9 | 16 | 8 | 66.7% | 14.8% | 93.8% | 108.6 | LUCKY | |
3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 31 | 10 | 12 | 9 | 0 | 30 | 9 | 4 | 19 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 24 | 14 | 17 | 8 | 18 | 9 | 44.4% | 12.9% | 83.3% | 96.2 | FUN | |
4 | 4 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 9 | 12 | -3 | 4 | 0.500 | 9 | 15 | 24 | 0 | 0 | 2 | 4 | 2 | 2 | 158 | 51 | 46 | 57 | 9 | 161 | 53 | 18 | 64 | 6 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 94 | 60 | 90 | 34 | 66 | 33 | 47.4% | 5.7% | 92.5% | 98.2 | DULL | |
5 | 4 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 9 | 8 | 1 | 6 | 0.750 | 9 | 17 | 26 | 0 | 1 | 2 | 2 | 5 | 0 | 138 | 48 | 38 | 50 | 5 | 120 | 56 | 34 | 80 | 9 | 1 | 11.11% | 17 | 1 | 94.12% | 0 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 87 | 52 | 90 | 37 | 68 | 32 | 53.3% | 6.5% | 93.3% | 99.9 | DULL | |
6 | 6 | 4 | 1 | 0 | 0 | 0 | 0 | 1 | 18 | 13 | 5 | 9 | 0.750 | 18 | 32 | 50 | 0 | 0 | 7 | 6 | 5 | 1 | 201 | 65 | 67 | 67 | 5 | 199 | 56 | 28 | 112 | 13 | 3 | 23.08% | 14 | 1 | 92.86% | 1 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 142 | 88 | 123 | 50 | 98 | 50 | 55.6% | 9.0% | 93.5% | 102.4 | LUCKY | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 2 | 0 | 5 | 0 | 57 | 19 | 16 | 22 | 0 | 63 | 30 | 16 | 29 | 5 | 2 | 40.00% | 8 | 1 | 87.50% | 0 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 40 | 23 | 46 | 17 | 33 | 15 | 41.7% | 12.3% | 87.3% | 99.6 | FUN | |
8 | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 6 | 8 | -2 | 3 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 1 | 1 | 83 | 19 | 35 | 28 | 1 | 95 | 30 | 26 | 56 | 9 | 2 | 22.22% | 13 | 2 | 84.62% | 0 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 64 | 38 | 69 | 25 | 49 | 23 | 40.0% | 7.2% | 91.6% | 98.8 | DULL | |
9 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 7 | 4 | 6 | 1.000 | 11 | 17 | 28 | 0 | 0 | 1 | 4 | 5 | 2 | 96 | 29 | 39 | 28 | 3 | 88 | 31 | 20 | 58 | 6 | 2 | 33.33% | 10 | 1 | 90.00% | 0 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 67 | 41 | 66 | 26 | 51 | 25 | 60.0% | 11.5% | 92.0% | 103.5 | LUCKY | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 2 | 0 | 3 | 0 | 74 | 24 | 19 | 31 | 0 | 80 | 23 | 14 | 28 | 2 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 43 | 27 | 43 | 17 | 32 | 15 | 55.6% | 6.8% | 91.3% | 98.0 | DULL | |
11 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 13 | 15 | -2 | 3 | 0.375 | 13 | 20 | 33 | 0 | 0 | 2 | 5 | 6 | 0 | 124 | 43 | 44 | 37 | 0 | 134 | 34 | 24 | 72 | 6 | 1 | 16.67% | 12 | 0 | 100.00% | 0 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 86 | 52 | 87 | 34 | 66 | 33 | 44.4% | 10.5% | 88.8% | 99.3 | FUN | |
12 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 60 | 21 | 16 | 22 | 1 | 79 | 21 | 25 | 38 | 6 | 1 | 16.67% | 6 | 0 | 100.00% | 0 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 43 | 24 | 44 | 17 | 35 | 17 | 28.6% | 5.0% | 93.7% | 98.7 | DULL | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 31 | 11 | 12 | 8 | 0 | 28 | 4 | 8 | 21 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 22 | 13 | 21 | 9 | 15 | 7 | 60.0% | 16.1% | 89.3% | 105.4 | FUN | |
14 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 0 | 1 | 28 | 11 | 10 | 3 | 4 | 39 | 10 | 6 | 7 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 20 | 12 | 25 | 9 | 16 | 7 | 60.0% | 10.7% | 94.9% | 105.6 | LUCKY | |
_Vs Division | 21 | 7 | 5 | 0 | 1 | 4 | 1 | 3 | 55 | 56 | -1 | 25 | 0.595 | 55 | 95 | 150 | 0 | 1 | 15 | 19 | 19 | 4 | 704 | 226 | 230 | 239 | 20 | 709 | 229 | 130 | 384 | 43 | 7 | 16.28% | 65 | 6 | 90.77% | 1 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 473 | 292 | 461 | 183 | 350 | 173 | 49.0% | 7.8% | 92.1% | 99.9 | DULL | |
_Vs Conference | 29 | 12 | 5 | 0 | 1 | 5 | 3 | 3 | 84 | 77 | 7 | 40 | 0.690 | 84 | 141 | 225 | 0 | 1 | 17 | 32 | 31 | 8 | 957 | 306 | 329 | 313 | 27 | 969 | 320 | 168 | 516 | 64 | 11 | 17.19% | 84 | 8 | 90.48% | 1 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 651 | 400 | 635 | 252 | 488 | 241 | 51.4% | 8.8% | 92.1% | 100.8 | DULL | |
_Since Last GM Reset | 37 | 15 | 7 | 0 | 2 | 7 | 3 | 3 | 107 | 102 | 5 | 50 | 0.676 | 107 | 180 | 287 | 0 | 1 | 24 | 36 | 42 | 9 | 1207 | 392 | 402 | 399 | 32 | 1258 | 408 | 237 | 639 | 82 | 16 | 19.51% | 112 | 13 | 88.39% | 1 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 821 | 502 | 817 | 323 | 622 | 303 | 50.6% | 8.9% | 91.9% | 100.8 | Unlucky | |
Total | 37 | 15 | 7 | 0 | 2 | 7 | 3 | 3 | 107 | 102 | 5 | 50 | 0.676 | 107 | 180 | 287 | 0 | 1 | 24 | 36 | 42 | 9 | 1207 | 392 | 402 | 399 | 32 | 1258 | 408 | 237 | 639 | 82 | 16 | 19.51% | 112 | 13 | 88.39% | 1 | 426 | 858 | 49.65% | 403 | 830 | 48.55% | 247 | 534 | 46.25% | 821 | 502 | 817 | 323 | 622 | 303 | 50.6% | 8.9% | 91.9% | 100.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 858 |
Neutral Zone Start | 534 |
Defensive Zone Start | 830 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 1076 |
Faceoffs Lost | 1146 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.6 | 9.57 |
2nd Period | 21.5 | 20.31 |
3rd Period | 32.2 | 30.68 |
Overtime | 33.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 90 |
---|---|
PP Goal | 16 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 9 | 11 |
Lost | 4 | 3 |
Overtime Lost | 5 | 5 |
PP Attempt | 82 |
---|---|
PP Goal | 16 |
PK Attempt | 112 |
PK Goal Against | 13 |
Home | |
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Shots For | 32.6 |
Shots Against | 34.0 |
Goals For | 2.9 |
Goals Against | 2.8 |
Hits | 17.3 |
Shots Blocked | 11.0 |
Pim | 6.4 |
Projected Total Cap Hit | 86,910,000$ |
Projected Cap Space | 3,090,000$ |
Retains And Buyout Cap Hit | -3,000,000$ |
Salary Cap To Date | 41,917,500$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2018-2019 | 2019-2020 | 2020-2021 | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Pietrangelo | D | 33 | 5,000,000$ | 5,000,000$ | |||||||
Anton Lundell ![]() | C/LW | 21 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | |||||
Brayden McNabb ![]() | D | 32 | 2,850,000$ | 2,850,000$ | 2,850,000$ | ||||||
Dylan Larkin | C/LW | 27 | 8,100,000$ | 8,100,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | |||
Esa Lindell | D | 29 | 5,500,000$ | 5,500,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | |||
Jakob Silfverberg | RW | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||
Jason Zucker ![]() | LW/RW | 31 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||
John Moore ![]() | D | 32 | 3,125,000$ | 3,125,000$ | 3,125,000$ | ||||||
Josh Manson | D | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||
Kevin Hayes | C/LW/RW | 31 | 5,500,000$ | 5,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | |||
Kirill Ustimenko ![]() | C | 24 | 985,000$ | 985,000$ | 985,000$ | 985,000$ | 985,000$ | ||||
Mark Stone | RW | 31 | 5,500,000$ | 5,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | |||
Mikael Granlund ![]() | C/LW/RW | 31 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Nick Leddy | D | 32 | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||||
Patrick Kane | RW | 34 | 10,000,000$ | 10,000,000$ | |||||||
Reilly Smith | LW/RW | 32 | 2,850,000$ | 2,850,000$ | |||||||
Richard Panik ![]() | LW/RW | 32 | 750,000$ | 750,000$ | 750,000$ | ||||||
Rickard Rakell | LW | 30 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||
Robin Lehner | D | 32 | 6,000,000$ | 6,000,000$ | |||||||
Ryan Getzlaf ![]() | C | 38 | 700,000$ | 700,000$ | |||||||
Taylor Hall ![]() | C/LW | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ |
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Charlie Stramel | 8 | 21 | |||
Emil Heineman | 2 | 76 | |||
Florian Xhekaj | 8 | 45 | |||
Jack Phelan | 8 | 93 | |||
Jakub Kos | 5 | 94 | |||
Justin Ertel | 4 | 58 | |||
Michael Callow | 6 | 87 | |||
Scott Ratzlaff | 8 | 27 | |||
Theodor Neiderbach | 3 | 53 | |||
Tyson Jugnauth | 6 | 63 |
Date | Matchup | Result | Detail | |||||||||||
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2023-09-26 | @ | Blues1,Jets4 | RECAP | |||||||||||
2023-09-27 | @ | Jets2,Avalanche1 (SO) | RECAP | |||||||||||
2023-09-29 | @ | Coyotes3,Jets2 (OT) | RECAP | |||||||||||
2023-10-02 | @ | Jets3,Wild5 | RECAP | |||||||||||
2023-10-03 | @ | Jets2,Stars3 (SO) | RECAP | |||||||||||
2023-10-05 | @ | Kings2,Jets3 | RECAP | |||||||||||
2023-10-07 | @ | Jets3,Kings2 (SO) | RECAP | |||||||||||
2023-10-10 | @ | Stars4,Jets3 (OT) | RECAP | |||||||||||
2023-10-12 | @ | Avalanche3,Jets2 (SO) | RECAP | |||||||||||
2023-10-13 | @ | Senators1,Jets3 | RECAP | |||||||||||
2023-10-16 | @ | Jets2,Coyotes1 (OT) | RECAP | |||||||||||
2023-10-18 | @ | Jets5,Blues3 | RECAP | |||||||||||
2023-10-19 | @ | Wild4,Jets3 (OT) | RECAP | |||||||||||
2023-10-21 | @ | Jets5,Wild3 | RECAP | |||||||||||
2023-10-23 | @ | Coyotes4,Jets2 | RECAP | |||||||||||
2023-10-25 | @ | Jets4,Ducks3 (SO) | RECAP | |||||||||||
2023-10-27 | @ | Oilers2,Jets4 | RECAP | |||||||||||
2023-10-31 | @ | Jets4,Golden Knights5 (OT) | RECAP | |||||||||||
2023-11-01 | @ | Stars0,Jets2 | RECAP | |||||||||||
2023-11-03 | @ | Sabres2,Jets1 (OT) | RECAP | |||||||||||
2023-11-04 | @ | Jets5,Red Wings3 | RECAP | |||||||||||
2023-11-06 | @ | Bruins4,Jets5 | RECAP | |||||||||||
2023-11-09 | @ | Jets2,Stars1 | RECAP | |||||||||||
2023-11-10 | @ | Blues2,Jets3 | RECAP | |||||||||||
2023-11-12 | @ | Jets2,Avalanche3 (OT) | RECAP | |||||||||||
2023-11-14 | @ | Panthers2,Jets3 (OT) | RECAP | |||||||||||
2023-11-16 | @ | Jets2,Senators6 | RECAP | |||||||||||
2023-11-18 | @ | Jets4,Kings3 | RECAP | |||||||||||
2023-11-20 | @ | Ducks2,Jets3 | RECAP | |||||||||||
2023-11-22 | @ | Avalanche5,Jets3 | RECAP | |||||||||||
2023-11-23 | @ | Jets4,Blues2 | RECAP | |||||||||||
2023-11-25 | @ | Blues3,Jets1 | RECAP | |||||||||||
2023-11-27 | @ | Jets2,Bruins4 | RECAP | |||||||||||
2023-11-29 | @ | Wild3,Jets2 | RECAP | |||||||||||
2023-12-01 | @ | Jets2,Sabres3 (OT) | RECAP | |||||||||||
2023-12-02 | @ | Jets1,Blues2 (SO) | RECAP | |||||||||||
2023-12-03 | @ | Jets4,Ducks2 | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
91,960,000$ | -3,000,000$ | 86,910,000$ | 3,090,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Canada Life Centre | |
City | Winnipeg | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 280$ | 140$ | 93$ | 69$ | 440$ |
Attendance | 104219 | 84638 | 34052 | 69459 | 13565 |
Attendance PCT | 96.50% | 94.04% | 94.59% | 96.47% | 75.36% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
23 | 16996 - 94.42% | 4,549,363$ | 81,888,534$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
91,960,000$ | 91,960,000$ | 0$ | -3,000,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
44,038,767$ | 607,500$ | 41,917,500$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
104,635,349$ | 79 | 638,243$ | 50,421,197$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
52,859,710$ | 86,910,000$ | 1,005,146,505$ | 1,065,347,402$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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