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Full Scoreboard »» |
Winnipeg Jets 32-19-3, 67pts · 4th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 21 | C/RW | 100.00 | 56 | 41 | 89 | 86 | 64 | 85 | 87 | 83 | 79 | 84 | 84 | 67 | 86 | 67 | 68 | 0 | 71 | 90 | 24 | 6,750,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 63 | 39 | 79 | 83 | 78 | 86 | 89 | 84 | 63 | 89 | 78 | 61 | 82 | 73 | 74 | 0 | 71 | 90 | 27 | 5,900,000$/3yrs | |||
![]() | 0 | C | 100.00 | 54 | 39 | 76 | 91 | 72 | 85 | 89 | 86 | 79 | 82 | 73 | 61 | 84 | 65 | 71 | 0 | 71 | 88 | 23 | 6,750,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 83 | 43 | 74 | 79 | 76 | 82 | 88 | 77 | 59 | 76 | 78 | 69 | 81 | 67 | 66 | 0 | 71 | 86 | 24 | 6,000,000$/3yrs | |||
![]() | 6 | RW | 100.00 | 54 | 41 | 86 | 80 | 79 | 85 | 83 | 78 | 56 | 79 | 77 | 62 | 80 | 65 | 66 | 0 | 71 | 85 | 23 | 7,500,000$/7yrs | |||
![]() | 0 | LW | 100.00 | 56 | 39 | 85 | 76 | 71 | 77 | 81 | 73 | 56 | 72 | 64 | 87 | 68 | 80 | 74 | 0 | 54 | 83 | 32 | 2,750,000$/3yrs | |||
![]() | 53 | C | 100.00 | 86 | 48 | 75 | 66 | 71 | 77 | 82 | 65 | 84 | 62 | 73 | 90 | 64 | 77 | 71 | 0 | 71 | 82 | 29 | 3,350,000$/1yrs | |||
![]() | 14 | C/RW | 100.00 | 69 | 39 | 88 | 74 | 72 | 82 | 90 | 73 | 80 | 76 | 68 | 62 | 73 | 61 | 64 | 0 | 71 | 81 | 21 | 925,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 86 | 42 | 90 | 65 | 80 | 73 | 79 | 63 | 56 | 66 | 63 | 78 | 63 | 77 | 67 | 0 | 59 | 80 | 28 | 1,300,000$/2yrs | |||
![]() | 6 | C/LW/RW | 100.00 | 63 | 39 | 87 | 72 | 73 | 82 | 78 | 69 | 63 | 67 | 70 | 58 | 72 | 67 | 65 | 0 | 71 | 79 | 24 | 1,900,000$/1yrs | |||
![]() | 26 | LW | 100.00 | 79 | 48 | 58 | 68 | 72 | 78 | 84 | 67 | 56 | 71 | 65 | 66 | 64 | 79 | 72 | 0 | 71 | 78 | 30 | 1,500,000$/2yrs | |||
![]() | 21 | C | 100.00 | 71 | 49 | 85 | 65 | 96 | 80 | 82 | 63 | 78 | 66 | 62 | 67 | 65 | 63 | 62 | 0 | 62 | 77 | 22 | 863,333$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 46 | 78 | 71 | 89 | 90 | 88 | 69 | 30 | 80 | 68 | 87 | 55 | 78 | 74 | 0 | 64 | 87 | 30 | 3,750,000$/2yrs | |||
![]() | 2 | D | 100.00 | 57 | 46 | 75 | 77 | 76 | 90 | 86 | 73 | 30 | 80 | 61 | 82 | 53 | 87 | 77 | 0 | 74 | 86 | 37 | 5,538,462$/3yrs | |||
![]() | 6 | D | 100.00 | 79 | 42 | 80 | 76 | 82 | 87 | 81 | 74 | 30 | 75 | 72 | 68 | 56 | 63 | 66 | 0 | 71 | 86 | 22 | 4,600,000$/5yrs | |||
![]() | 98 | D | 100.00 | 80 | 48 | 76 | 73 | 84 | 85 | 87 | 72 | 30 | 78 | 69 | 71 | 56 | 63 | 65 | 0 | 76 | 84 | 22 | 5,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 58 | 42 | 80 | 63 | 80 | 85 | 84 | 62 | 30 | 74 | 56 | 90 | 49 | 79 | 72 | 0 | 71 | 82 | 30 | 4,500,000$/5yrs | |||
![]() | 19 | D | 100.00 | 81 | 47 | 76 | 67 | 78 | 84 | 82 | 66 | 30 | 71 | 60 | 82 | 54 | 73 | 68 | 0 | 64 | 82 | 27 | 2,500,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 69 | 43 | 80 | 74 | 77 | 83 | 84 | 72 | 55 | 75 | 69 | 73 | 67 | 71 | 69 | 0 | 69 | 84 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 32 | 100.00 | 89 | 95 | 93 | 81 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 84 | 88 | 0 | 56 | 88 | 34 | 5,800,000$/3yrs |
![]() | 35 | 100.00 | 90 | 85 | 83 | 79 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 69 | 73 | 0 | 71 | 87 | 25 | 3,000,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 90 | 90 | 88 | 80 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 77 | 81 | 0 | 64 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Craig Berube | 80 | 92 | 86 | 86 | 81 | 76 | 67 | CAN | 54 | 1 | 1,000,000$ |
General Manager | Nathan Mourot |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mathew Barzal | 0 | C | 54 | 14 | 34 | 48 | 18 | 8 | 0 | 43 | 148 | 44 | 110 | 9.46% | 7 | 17.70 | 4 | 9 | 13 | 187 | 0 | 0 | 0 | 10 | 4 | 0 | 49.22% | 1150 | 0 | 0 | 0 | 0 | 1.00 | 2 | 5 | ||
2 | Brock Boeser | 6 | RW | 54 | 18 | 25 | 43 | 21 | 8 | 0 | 18 | 126 | 40 | 89 | 14.29% | 3 | 17.17 | 3 | 11 | 14 | 165 | 0 | 0 | 0 | 26 | 4 | 2 | 45.00% | 100 | 0 | 0 | 1 | 0 | 0.93 | 0 | 1 | ||
3 | Timo Meier | 0 | LW/RW | 54 | 19 | 20 | 39 | 19 | 58 | 0 | 147 | 153 | 41 | 92 | 12.42% | 8 | 17.51 | 7 | 7 | 14 | 163 | 0 | 0 | 0 | 9 | 5 | 0 | 50.91% | 55 | 0 | 0 | 0 | 1 | 0.82 | 0 | 2 | ||
4 | Mattias Ekholm | 0 | D | 54 | 11 | 27 | 38 | 11 | 25 | 5 | 43 | 94 | 29 | 55 | 11.70% | 96 | 24.48 | 7 | 4 | 11 | 138 | 0 | 0 | 0 | 177 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
5 | Jonathan Huberdeau | 0 | LW | 54 | 14 | 18 | 32 | 3 | 16 | 0 | 78 | 146 | 41 | 105 | 9.59% | 1 | 19.70 | 6 | 4 | 10 | 190 | 0 | 0 | 0 | 23 | 4 | 0 | 50.68% | 73 | 0 | 0 | 1 | 0 | 0.60 | 2 | 5 | ||
6 | Nick Suzuki | 14 | C/RW | 54 | 13 | 19 | 32 | 9 | 24 | 0 | 62 | 103 | 11 | 66 | 12.62% | 7 | 19.21 | 3 | 7 | 10 | 134 | 0 | 0 | 0 | 159 | 0 | 3 | 49.79% | 934 | 0 | 0 | 0 | 0 | 0.62 | 0 | 1 | ||
7 | Duncan Keith | 2 | D | 54 | 3 | 28 | 31 | 0 | 15 | 5 | 36 | 67 | 25 | 34 | 4.48% | 72 | 23.19 | 2 | 7 | 9 | 191 | 0 | 1 | 1 | 142 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
8 | Brayden Point | 21 | C/RW | 54 | 17 | 13 | 30 | 3 | 12 | 0 | 25 | 177 | 46 | 131 | 9.60% | 8 | 19.82 | 2 | 6 | 8 | 190 | 0 | 0 | 0 | 25 | 4 | 0 | 48.09% | 759 | 0 | 0 | 0 | 0 | 0.56 | 1 | 5 | ||
9 | Mikhail Sergachev | 98 | D | 54 | 7 | 23 | 30 | 7 | 79 | 15 | 117 | 63 | 18 | 36 | 11.11% | 48 | 21.68 | 4 | 5 | 9 | 185 | 0 | 0 | 0 | 98 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
10 | Christopher Tanev | 0 | D | 54 | 8 | 20 | 28 | 4 | 12 | 0 | 27 | 65 | 28 | 29 | 12.31% | 94 | 21.96 | 5 | 6 | 11 | 151 | 0 | 0 | 0 | 205 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
11 | Jakob Chychrun | 6 | D | 54 | 4 | 24 | 28 | 0 | 60 | 0 | 166 | 70 | 26 | 46 | 5.71% | 36 | 21.71 | 2 | 9 | 11 | 165 | 0 | 0 | 0 | 67 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
12 | Carl Hagelin | 0 | LW | 55 | 11 | 11 | 22 | -4 | 12 | 0 | 19 | 116 | 27 | 78 | 9.48% | 9 | 17.18 | 1 | 4 | 5 | 74 | 1 | 0 | 1 | 152 | 1 | 0 | 40.00% | 65 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
13 | Jake McCabe | 19 | D | 54 | 1 | 13 | 14 | 15 | 63 | 5 | 103 | 16 | 7 | 25 | 6.25% | 50 | 16.63 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 151 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
14 | Casey Cizikas | 53 | C | 54 | 8 | 5 | 13 | 0 | 34 | 0 | 80 | 78 | 23 | 57 | 10.26% | 21 | 13.20 | 0 | 0 | 0 | 8 | 0 | 1 | 1 | 205 | 2 | 2 | 50.40% | 1000 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
15 | Antoine Roussel | 26 | LW | 54 | 2 | 6 | 8 | -10 | 26 | 0 | 49 | 27 | 16 | 22 | 7.41% | 2 | 6.72 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 43 | 0 | 0 | 36.00% | 25 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
16 | Tyler Pitlick | 0 | LW/RW | 53 | 3 | 2 | 5 | -7 | 28 | 0 | 62 | 40 | 11 | 37 | 7.50% | 8 | 11.44 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 93 | 0 | 0 | 30.00% | 40 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
17 | Ryan Donato | 6 | C/LW/RW | 54 | 1 | 4 | 5 | -8 | 0 | 0 | 9 | 30 | 17 | 24 | 3.33% | 2 | 6.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.31% | 26 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
18 | Logan Brown | 21 | C | 27 | 0 | 0 | 0 | -9 | 4 | 0 | 3 | 12 | 3 | 6 | 0.00% | 3 | 7.11 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 36 | 0 | 0 | 49.76% | 205 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 945 | 154 | 292 | 446 | 72 | 484 | 30 | 1087 | 1531 | 453 | 1042 | 10.06% | 475 | 17.09 | 46 | 79 | 125 | 1962 | 1 | 2 | 3 | 1629 | 28 | 8 | 48.96% | 4432 | 0 | 0 | 2 | 1 | 0.55 | 5 | 19 |
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 | Jonathan Quick | 40 | 24 | 13 | 2 | 0.917 | 2.30 | 2319 | 4 | 6 | 89 | 1071 | 0 | 1 | 1 | 0.687 | 16 | 40 | 14 | 8 | 0 | 4 | |
2 | Tristan Jarry | 17 | 8 | 6 | 1 | 0.926 | 2.03 | 948 | 6 | 2 | 32 | 434 | 0 | 4 | 1 | 0.500 | 2 | 14 | 40 | 3 | 0 | 0 | |
Team Total or Average | 57 | 32 | 19 | 3 | 0.920 | 2.22 | 3268 | 10 | 8 | 121 | 1505 | 0 | 5 | 2 | 0.667 | 18 | 54 | 54 | 11 | 0 | 4 |
Projected Total Cap Hit | 80,676,795$ |
Projected Cap Space | 823,205$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 51,919,878$ |
Players In Salary Cap | 20 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Antoine Roussel | LW | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Brayden Point | C/RW | 24 | 6,750,000$ | 6,750,000$ | 6,750,000$ | ![]() | |||||
Brock Boeser | RW | 23 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA |
Carl Hagelin | LW | 32 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||
Casey Cizikas | C | 29 | 3,350,000$ | 3,350,000$ | UFA | ||||||
Christopher Tanev | D | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||
Duncan Keith | D | 37 | 5,538,462$ | 5,538,462$ | 5,538,462$ | 5,538,462$ | UFA | ||||
Jake McCabe | D | 27 | 2,500,000$ | 2,500,000$ | ![]() | ||||||
Jakob Chychrun | D | 22 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | ![]() | ||
Jonathan Huberdeau | LW | 27 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | UFA | ||||
Jonathan Quick | G | 34 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | ||||
Logan Brown ![]() | C | 22 | 863,333$ | 863,333$ | RFA | ||||||
Mathew Barzal | C | 23 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | ![]() | ||||
Mattias Ekholm | D | 30 | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||||
Mikhail Sergachev | D | 22 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | ![]() | |||
Nick Suzuki ![]() | C/RW | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Ryan Donato | C/LW/RW | 24 | 1,900,000$ | 1,900,000$ | ![]() | ||||||
Timo Meier | LW/RW | 24 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | ![]() | ||||
Tristan Jarry ![]() | G | 25 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ![]() | |||||
Tyler Pitlick | LW/RW | 28 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Austin Poganski ![]() | RW | 24 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Blake Pietila ![]() | C/RW | 27 | 700,000$ | 700,000$ | UFA | ||||||
Brandon Baddock ![]() | LW | 25 | 700,000$ | 700,000$ | ![]() | ||||||
Casey Fitzgerald ![]() | D | 23 | 700,000$ | 700,000$ | RFA | ||||||
Danny O'Regan ![]() | C/LW | 26 | 700,000$ | 700,000$ | ![]() | ||||||
Dylan Ferguson ![]() | G | 22 | 733,333$ | 733,333$ | 733,333$ | RFA | |||||
Erik Kallgren ![]() | G | 24 | 800,000$ | 800,000$ | RFA | ||||||
Evan Cormier ![]() | G | 22 | 700,000$ | 700,000$ | RFA | ||||||
Gerald Mayhew ![]() | C/RW | 27 | 700,000$ | 700,000$ | UFA | ||||||
Jake Bischoff ![]() | D | 26 | 716,667$ | 716,667$ | 716,667$ | ![]() | |||||
Jeff Kubiak ![]() | C | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Josh Brown ![]() | D | 26 | 875,000$ | 875,000$ | ![]() | ||||||
Kaden Fulcher ![]() | G | 22 | 700,000$ | 700,000$ | RFA | ||||||
Kevin Hancock ![]() | LW | 22 | 700,000$ | 700,000$ | RFA | ||||||
Lias Andersson ![]() | C/LW | 22 | 894,166$ | 894,166$ | RFA | ||||||
Lucas Johansen ![]() | D | 22 | 925,000$ | 925,000$ | RFA | ||||||
Matthew Strome ![]() | LW | 21 | 700,000$ | 700,000$ | RFA | ||||||
Michael Amadio ![]() | C/RW | 24 | 700,000$ | 700,000$ | ![]() | ||||||
Michael Chaput ![]() | C/LW | 28 | 900,000$ | 900,000$ | UFA | ||||||
Nikolai Knyzhov ![]() | D | 22 | 796,667$ | 796,667$ | RFA | ||||||
Radim Simek ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Will Bitten ![]() | C/RW | 22 | 805,000$ | 805,000$ | RFA | ||||||
Zach Trotman ![]() | D | 30 | 700,000$ | 700,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 0.667 | 11 | 21 | 32 | 0 | 1 | 4 | 2 | 5 | 0 | 74 | 19 | 27 | 28 | 0 | 80 | 18 | 29 | 56 | 17 | 4 | 23.53% | 11 | 3 | 72.73% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 70 | 47 | 72 | 21 | 37 | 18 | 63.6% | 14.9% | 91.3% | 106.1 | LUCKY | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 41 | 9 | 16 | 16 | 0 | 35 | 8 | 14 | 27 | 3 | 3 | 100.00% | 6 | 2 | 66.67% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 27 | 20 | 21 | 6 | 11 | 5 | 66.7% | 12.2% | 91.4% | 103.6 | LUCKY | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 17 | 4 | 10 | 3 | 0 | 28 | 13 | 14 | 23 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 19 | 12 | 27 | 7 | 12 | 6 | 100.0% | 5.9% | 92.9% | 98.7 | DULL | |
4 | 3 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 7 | 7 | 0 | 4 | 0.667 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 1 | 2 | 76 | 18 | 31 | 21 | 6 | 78 | 25 | 54 | 52 | 12 | 0 | 0.00% | 13 | 4 | 69.23% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 76 | 53 | 69 | 21 | 37 | 19 | 70.0% | 9.2% | 91.0% | 100.2 | FUN | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 24 | 13 | 5 | 6 | 0 | 25 | 12 | 12 | 18 | 5 | 2 | 40.00% | 6 | 2 | 66.67% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 25 | 18 | 22 | 7 | 12 | 6 | 66.7% | 16.7% | 88.0% | 104.7 | FUN | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 0 | 1 | 2 | 0 | 20 | 6 | 6 | 8 | 0 | 19 | 3 | 17 | 19 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 23 | 14 | 23 | 8 | 13 | 6 | 100.0% | 15.0% | 100.0% | 115.0 | LUCKY | |
7 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 7 | 3 | 4 | 0.667 | 10 | 17 | 27 | 0 | 0 | 4 | 1 | 4 | 1 | 85 | 33 | 23 | 27 | 5 | 76 | 32 | 28 | 60 | 8 | 2 | 25.00% | 12 | 0 | 100.00% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 76 | 52 | 69 | 21 | 38 | 20 | 53.3% | 11.8% | 90.8% | 102.6 | FUN | |
8 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 0 | 3 | 0.750 | 2 | 3 | 5 | 0 | 1 | 0 | 1 | 1 | 2 | 58 | 12 | 26 | 13 | 11 | 72 | 17 | 20 | 41 | 10 | 1 | 10.00% | 10 | 1 | 90.00% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 50 | 35 | 51 | 13 | 23 | 12 | 50.0% | 3.4% | 97.2% | 100.7 | DULL | |
9 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 14 | 11 | 3 | 6 | 0.750 | 14 | 24 | 38 | 0 | 0 | 1 | 4 | 8 | 1 | 108 | 35 | 38 | 34 | 1 | 100 | 21 | 36 | 80 | 17 | 4 | 23.53% | 13 | 2 | 84.62% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 101 | 71 | 91 | 27 | 47 | 24 | 52.6% | 13.0% | 89.0% | 102.0 | FUN | |
10 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.500 | 7 | 13 | 20 | 0 | 1 | 4 | 1 | 2 | 0 | 76 | 21 | 21 | 30 | 10 | 77 | 28 | 24 | 68 | 9 | 1 | 11.11% | 12 | 2 | 83.33% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 81 | 59 | 65 | 20 | 38 | 18 | 54.5% | 9.2% | 90.9% | 100.1 | FUN | |
11 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 0.667 | 8 | 16 | 24 | 0 | 1 | 3 | 1 | 4 | 0 | 79 | 32 | 23 | 24 | 0 | 86 | 30 | 26 | 68 | 9 | 1 | 11.11% | 12 | 1 | 91.67% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 74 | 53 | 70 | 21 | 35 | 17 | 70.0% | 10.1% | 95.3% | 105.5 | LUCKY | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 0.500 | 6 | 11 | 17 | 0 | 1 | 5 | 0 | 1 | 0 | 62 | 32 | 16 | 14 | 0 | 54 | 12 | 20 | 52 | 5 | 1 | 20.00% | 10 | 1 | 90.00% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 44 | 30 | 50 | 14 | 25 | 12 | 71.4% | 9.7% | 94.4% | 104.1 | LUCKY | |
13 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 8 | 14 | 0 | 0 | 2 | 2 | 1 | 2 | 48 | 13 | 14 | 16 | 11 | 51 | 13 | 22 | 48 | 6 | 1 | 16.67% | 10 | 2 | 80.00% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 52 | 36 | 51 | 15 | 26 | 13 | 55.6% | 12.5% | 88.2% | 100.7 | FUN | |
14 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 11 | 3 | 6 | 0.750 | 14 | 27 | 41 | 1 | 0 | 7 | 6 | 1 | 0 | 114 | 38 | 45 | 31 | 0 | 116 | 31 | 46 | 94 | 16 | 4 | 25.00% | 22 | 3 | 86.36% | 1 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 91 | 61 | 97 | 31 | 51 | 24 | 55.6% | 12.3% | 90.5% | 102.8 | FUN | |
15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 52 | 25 | 14 | 13 | 0 | 45 | 12 | 22 | 49 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 52 | 37 | 45 | 12 | 22 | 11 | 37.5% | 7.7% | 86.7% | 94.4 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 25 | 7 | 8 | 10 | 0 | 39 | 14 | 20 | 19 | 4 | 1 | 25.00% | 8 | 2 | 75.00% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 23 | 15 | 24 | 7 | 12 | 6 | 100.0% | 20.0% | 94.9% | 114.9 | LUCKY | |
17 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 1 | 1 | 84 | 32 | 22 | 29 | 1 | 83 | 22 | 26 | 66 | 12 | 0 | 0.00% | 12 | 0 | 100.00% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 71 | 49 | 72 | 22 | 37 | 17 | 50.0% | 7.1% | 92.8% | 99.9 | DULL | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 25 | 5 | 12 | 8 | 0 | 29 | 3 | 10 | 26 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 25 | 18 | 22 | 6 | 12 | 6 | 25.0% | 8.0% | 89.7% | 97.7 | Unlucky | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 32 | 9 | 9 | 14 | 0 | 13 | 5 | 4 | 14 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 27 | 20 | 19 | 8 | 13 | 6 | 50.0% | 6.3% | 92.3% | 98.6 | DULL | |
20 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 4 | 0.667 | 5 | 9 | 14 | 0 | 1 | 0 | 3 | 2 | 0 | 77 | 15 | 35 | 27 | 0 | 114 | 32 | 28 | 57 | 18 | 1 | 5.56% | 14 | 0 | 100.00% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 69 | 46 | 74 | 23 | 36 | 17 | 44.4% | 6.5% | 95.6% | 102.1 | DULL | |
21 | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 15 | 13 | 2 | 6 | 0.600 | 15 | 27 | 42 | 0 | 1 | 6 | 6 | 2 | 1 | 143 | 42 | 47 | 51 | 3 | 125 | 28 | 28 | 113 | 17 | 4 | 23.53% | 14 | 1 | 92.86% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 127 | 89 | 114 | 36 | 61 | 31 | 47.8% | 10.5% | 89.6% | 100.1 | FUN | |
22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 1 | 1 | 2 | 0 | 26 | 8 | 11 | 7 | 0 | 45 | 10 | 15 | 17 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 23 | 15 | 22 | 7 | 13 | 6 | 37.5% | 15.4% | 86.7% | 102.1 | FUN | |
23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 43 | 11 | 13 | 19 | 0 | 36 | 12 | 10 | 15 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 25 | 18 | 22 | 7 | 11 | 5 | 75.0% | 9.3% | 91.7% | 101.0 | LUCKY | |
24 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 12 | 18 | 0 | 0 | 4 | 1 | 1 | 0 | 77 | 25 | 22 | 30 | 0 | 81 | 19 | 16 | 63 | 10 | 3 | 30.00% | 8 | 1 | 87.50% | 0 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 75 | 53 | 67 | 20 | 36 | 19 | 30.0% | 7.8% | 90.1% | 97.9 | Unlucky | |
_Vs Division | 24 | 10 | 9 | 0 | 5 | 0 | 0 | 0 | 68 | 58 | 10 | 30 | 0.625 | 68 | 124 | 192 | 1 | 2 | 22 | 23 | 18 | 5 | 656 | 222 | 220 | 203 | 11 | 633 | 169 | 238 | 522 | 89 | 14 | 15.73% | 95 | 12 | 87.37% | 1 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 594 | 416 | 560 | 173 | 293 | 146 | 54.0% | 10.4% | 90.8% | 101.2 | FUN | |
_Vs Conference | 39 | 17 | 14 | 0 | 5 | 0 | 1 | 2 | 107 | 94 | 13 | 48 | 0.615 | 107 | 195 | 302 | 1 | 5 | 36 | 34 | 31 | 7 | 1051 | 326 | 352 | 353 | 32 | 1072 | 291 | 367 | 829 | 153 | 25 | 16.34% | 155 | 22 | 85.81% | 1 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 968 | 679 | 914 | 283 | 479 | 239 | 53.2% | 10.2% | 91.2% | 101.4 | LUCKY | |
_Since Last GM Reset | 54 | 25 | 19 | 0 | 5 | 0 | 2 | 3 | 151 | 126 | 25 | 67 | 0.620 | 151 | 271 | 422 | 2 | 8 | 54 | 45 | 45 | 10 | 1466 | 464 | 494 | 479 | 48 | 1507 | 420 | 541 | 1145 | 215 | 39 | 18.14% | 231 | 33 | 85.71% | 1 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 1334 | 934 | 1269 | 393 | 668 | 334 | 54.6% | 10.3% | 91.6% | 101.9 | LUCKY | |
Total | 54 | 25 | 19 | 0 | 5 | 0 | 2 | 3 | 151 | 126 | 25 | 67 | 0.620 | 151 | 271 | 422 | 2 | 8 | 54 | 45 | 45 | 10 | 1466 | 464 | 494 | 479 | 48 | 1507 | 420 | 541 | 1145 | 215 | 39 | 18.14% | 231 | 33 | 85.71% | 1 | 936 | 1812 | 51.66% | 902 | 1881 | 47.95% | 387 | 789 | 49.05% | 1334 | 934 | 1269 | 393 | 668 | 334 | 54.6% | 10.3% | 91.6% | 101.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1812 |
Neutral Zone Start | 789 |
Defensive Zone Start | 1881 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2225 |
Faceoffs Lost | 2257 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.6 | 9.57 |
2nd Period | 17.7 | 20.31 |
3rd Period | 26.6 | 30.68 |
Overtime | 27.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 109 |
---|---|
PP Goal | 39 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 17 | 15 |
Lost | 9 | 10 |
Overtime Lost | 1 | 2 |
PP Attempt | 215 |
---|---|
PP Goal | 39 |
PK Attempt | 231 |
PK Goal Against | 33 |
Home | |
---|---|
Shots For | 27.1 |
Shots Against | 27.9 |
Goals For | 2.8 |
Goals Against | 2.3 |
Hits | 21.2 |
Shots Blocked | 7.8 |
Pim | 10.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-10-01 | @ | Stars2,Jets4 | RECAP | |||||||||||
2020-10-04 | @ | Jets2,Predators3 | RECAP | |||||||||||
2020-10-06 | @ | Avalanche2,Jets3 (OT) | RECAP | |||||||||||
2020-10-09 | @ | Jets4,Blackhawks3 (OT) | RECAP | |||||||||||
2020-10-11 | @ | Jets4,Blues3 | RECAP | |||||||||||
2020-10-12 | @ | Canucks0,Jets2 | RECAP | |||||||||||
2020-10-15 | @ | Stars2,Jets1 | RECAP | |||||||||||
2020-10-18 | @ | Avalanche2,Jets3 (OT) | RECAP | |||||||||||
2020-10-20 | @ | Jets2,Coyotes3 | RECAP | |||||||||||
2020-10-21 | @ | Jets3,Wild2 (OT) | RECAP | |||||||||||
2020-10-24 | @ | Lightning0,Jets4 | RECAP | |||||||||||
2020-10-26 | @ | Jets4,Oilers5 (SO) | RECAP | |||||||||||
2020-10-28 | @ | Jets3,Canucks4 (SO) | RECAP | |||||||||||
2020-10-29 | @ | Blues2,Jets3 | RECAP | |||||||||||
2020-10-31 | @ | Ducks4,Jets0 | RECAP | |||||||||||
2020-11-03 | @ | Jets3,Wild5 | RECAP | |||||||||||
2020-11-04 | @ | Jets2,Predators0 | RECAP | |||||||||||
2020-11-07 | @ | Blackhawks1,Jets2 | RECAP | |||||||||||
2020-11-09 | @ | Jets2,Panthers3 | RECAP | |||||||||||
2020-11-11 | @ | Capitals2,Jets1 (SO) | RECAP | |||||||||||
2020-11-13 | @ | Lightning3,Jets2 | RECAP | |||||||||||
2020-11-15 | @ | Jets3,Red Wings0 | RECAP | |||||||||||
2020-11-17 | @ | Jets2,Golden Knights3 | RECAP | |||||||||||
2020-11-19 | @ | Flames0,Jets5 | RECAP | |||||||||||
2020-11-22 | @ | Sharks3,Jets4 | RECAP | |||||||||||
2020-11-24 | @ | Jets4,Wild1 | RECAP | |||||||||||
2020-11-26 | @ | Maple Leafs6,Jets4 | RECAP | |||||||||||
2020-11-27 | @ | Jets4,Predators1 | RECAP | |||||||||||
2020-11-30 | @ | Jets2,Oilers1 (SO) | RECAP | |||||||||||
2020-12-01 | @ | Jets3,Ducks1 | RECAP | |||||||||||
2020-12-02 | @ | Canadiens1,Jets4 | RECAP | |||||||||||
2020-12-06 | @ | Canadiens4,Jets3 | RECAP | |||||||||||
2020-12-09 | @ | Golden Knights4,Jets1 | RECAP | |||||||||||
2020-12-12 | @ | Jets4,Rangers3 | RECAP | |||||||||||
2020-12-14 | @ | Wild3,Jets4 | RECAP | |||||||||||
2020-12-16 | @ | Jets1,Flames4 | RECAP | |||||||||||
2020-12-18 | @ | Ducks0,Jets2 | RECAP | |||||||||||
2020-12-21 | @ | Jets3,Canadiens2 (SO) | RECAP | |||||||||||
2020-12-22 | @ | Avalanche3,Jets1 | RECAP | |||||||||||
2020-12-25 | @ | Jets3,Stars5 | RECAP | |||||||||||
2020-12-27 | @ | Golden Knights1,Jets3 | RECAP | |||||||||||
2020-12-29 | @ | Jets1,Islanders2 | RECAP | |||||||||||
2020-12-30 | @ | Canucks3,Jets2 | RECAP | |||||||||||
2021-01-02 | @ | Jets2,Blue Jackets1 | RECAP | |||||||||||
2021-01-03 | @ | Senators3,Jets5 | RECAP | |||||||||||
2021-01-05 | @ | Jets5,Flames3 | RECAP | |||||||||||
2021-01-07 | @ | Jets5,Sabres2 | RECAP | |||||||||||
2021-01-09 | @ | Blues2,Jets5 | RECAP | |||||||||||
2021-01-11 | @ | Capitals0,Jets1 | RECAP | |||||||||||
2021-01-14 | @ | Jets5,Stars4 (OT) | RECAP | |||||||||||
2021-01-16 | @ | Blackhawks2,Jets0 | RECAP | |||||||||||
2021-01-18 | @ | Jets2,Coyotes3 | RECAP | |||||||||||
2021-01-20 | @ | Jets2,Blues4 | RECAP | |||||||||||
2021-01-21 | @ | Stars0,Jets2 | RECAP | |||||||||||
2021-01-24 | @ | |||||||||||||
2021-01-26 | @ | |||||||||||||
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2021-02-19 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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2021-02-25 | @ | |||||||||||||
2021-02-28 | @ | |||||||||||||
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2021-03-26 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,676,795$ | 0$ | 80,676,795$ | 823,205$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Bell MTS Centre | |
City | Winnipeg | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 151945 | 125551 | 50016 | 101961 | 25024 |
Attendance PCT | 93.79% | 93.00% | 92.62% | 94.41% | 92.68% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
14 | 16833 - 93.52% | 1,482,960$ | 40,039,932$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,676,795$ | 80,676,795$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
52,562,337$ | 80,676,795$ | 51,919,878$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
20,761,446$ | 64 | 456,295$ | 29,202,880$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
29,992,174$ | 80,676,795$ | 47,408,973$ | 38,178,245$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2021 | |||||||
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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 |
---|---|---|---|---|---|
Andong Song | |||||
Ben Brinkman | 2019 | 167 | |||
David Ma | 2020 | 169 | |||
Eemil Viro | 2020 | 64 | |||
Kalle Loponen | 2019 | 213 | 5.5 - 3.5 | ||
Kirill Tyutyayev | |||||
Linus Karlsson | 6.5 - 6.0 | ||||
Lucas Mercuri | |||||
Lucas Ramberg | 2020 | 189 | |||
Matthew Villalta | 7.5 - 4.0 | ||||
Michal Teply | 2019 | 97 | 6.5 - 5.5 | ||
Ozzy Wiestblatt | 2020 | 55 | |||
Samuel Bolduc | 2019 | 75 | |||
Simon Gamache | |||||
Thomas Novak | 4.0 - 2.0 | ||||
Tuukka Tieksola | 2019 | 128 | 7.0 - 4.5 | ||
Valentin Nussbaumer | 2019 | 190 |
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