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Full Scoreboard »» |
Winnipeg Jets 11-13-6, 28pts · 12th in Western Conference |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW/RW | 100.00 | 54 | 40 | 83 | 71 | 75 | 79 | 82 | 69 | 83 | 75 | 64 | 62 | 68 | 79 | 75 | 67 | 73 | 0 | 31 | 1,200,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 53 | 42 | 84 | 67 | 87 | 69 | 77 | 66 | 76 | 72 | 65 | 58 | 67 | 87 | 77 | 41 | 73 | 0 | 37 | 1,100,000$/2yrs | |||
![]() | 0 | LW/RW | 99.00 | 71 | 41 | 78 | 69 | 80 | 75 | 86 | 67 | 56 | 70 | 68 | 74 | 69 | 67 | 65 | 63 | 73 | 0 | 24 | 1,575,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 68 | 42 | 81 | 69 | 83 | 81 | 86 | 65 | 71 | 64 | 66 | 63 | 69 | 91 | 84 | 32 | 73 | 0 | 41 | 1,200,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 40 | 86 | 63 | 77 | 72 | 83 | 61 | 76 | 62 | 59 | 78 | 61 | 79 | 72 | 64 | 73 | 0 | 31 | 1,100,000$/4yrs | |||
![]() | 0 | C | 100.00 | 62 | 42 | 84 | 63 | 78 | 83 | 82 | 61 | 75 | 60 | 57 | 59 | 63 | 61 | 62 | 80 | 75 | 0 | 21 | 925,000$/2yrs | |||
![]() | 0 | C | 100.00 | 64 | 35 | 74 | 66 | 69 | 72 | 71 | 65 | 64 | 63 | 64 | 65 | 65 | 35 | 35 | 80 | 83 | 0 | 20 | 822,500$/3yrs | |||
![]() | 0 | LW | 100.00 | 88 | 75 | 59 | 64 | 87 | 69 | 78 | 62 | 55 | 58 | 63 | 61 | 62 | 77 | 73 | 52 | 68 | 0 | 29 | 1,100,000$/4yrs | |||
![]() | 0 | C | 100.00 | 87 | 40 | 79 | 73 | 75 | 79 | 68 | 71 | 78 | 72 | 74 | 80 | 73 | 71 | 68 | 79 | 53 | 0 | 26 | 2,300,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 43 | 86 | 73 | 74 | 78 | 85 | 71 | 76 | 73 | 70 | 64 | 72 | 67 | 68 | 79 | 73 | 0 | 24 | 2,600,000$/2yrs | |||
![]() | 0 | RW | 99.00 | 78 | 43 | 84 | 79 | 91 | 85 | 87 | 77 | 54 | 80 | 82 | 61 | 79 | 64 | 67 | 91 | 63 | 0 | 22 | 6,750,000$/1yrs | |||
![]() | 0 | LW | 99.00 | 79 | 42 | 87 | 76 | 69 | 83 | 87 | 72 | 54 | 73 | 74 | 63 | 72 | 65 | 66 | 80 | 73 | 0 | 23 | 2,100,000$/1yrs | |||
![]() | 0 | C | 99.00 | 59 | 42 | 89 | 84 | 87 | 89 | 91 | 83 | 81 | 79 | 94 | 71 | 89 | 65 | 68 | 91 | 73 | 0 | 23 | 11,634,000$/4yrs | |||
![]() | 0 | C | 100.00 | 64 | 39 | 86 | 61 | 72 | 75 | 74 | 60 | 76 | 58 | 59 | 62 | 60 | 65 | 63 | 77 | 77 | 0 | 23 | 825,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 40 | 74 | 78 | 75 | 93 | 80 | 77 | 30 | 82 | 79 | 75 | 63 | 82 | 75 | 43 | 53 | 0 | 33 | 7,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 42 | 87 | 66 | 80 | 83 | 67 | 64 | 30 | 65 | 57 | 59 | 51 | 63 | 62 | 82 | 83 | 0 | 22 | 890,000$/1yrs | |||
![]() | 0 | D | 100.00 | 88 | 45 | 71 | 61 | 83 | 85 | 68 | 59 | 30 | 67 | 54 | 90 | 51 | 88 | 89 | 25 | 67 | 0 | 38 | 2,600,000$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 43 | 82 | 75 | 89 | 91 | 86 | 74 | 30 | 84 | 63 | 80 | 56 | 67 | 65 | 89 | 73 | 0 | 24 | 7,500,000$/5yrs | |||
![]() | 0 | D | 100.00 | 56 | 35 | 66 | 64 | 63 | 68 | 68 | 66 | 40 | 61 | 53 | 66 | 55 | 35 | 35 | 80 | 78 | 0 | 20 | 1,250,000$/3yrs | |||
![]() | 0 | D | 100.00 | 75 | 41 | 73 | 77 | 80 | 93 | 90 | 76 | 30 | 82 | 64 | 56 | 59 | 65 | 73 | 82 | 73 | 0 | 23 | 6,250,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 93.34 | 71 | 44 | 83 | 78 | 80 | 83 | 89 | 77 | 82 | 75 | 76 | 63 | 78 | 71 | 79 | 84 | 62 | 0 | 26 | 6,375,000$/3yrs | |||
![]() | 0 | D | 85.89 | 65 | 39 | 88 | 78 | 70 | 87 | 79 | 76 | 30 | 88 | 77 | 64 | 59 | 63 | 66 | 89 | 44 | 0 | 22 | 880,833$/1yrs | |||
TEAM AVERAGE | 98.82 | 70 | 43 | 80 | 71 | 78 | 81 | 80 | 69 | 58 | 71 | 67 | 67 | 66 | 69 | 68 | 70 | 70 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 88 | 92 | 90 | 84 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 86 | 90 | 49 | 73 | 0 | 36 | 5,000,000$/1yrs |
![]() | 0 | 95.00 | 90 | 85 | 83 | 79 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 69 | 73 | 71 | 73 | 0 | 25 | 2,100,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 97.50 | 89 | 89 | 87 | 82 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 78 | 82 | 60 | 73 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Benoit Groulx | 70 | 61 | 71 | 65 | 81 | 75 | 71 | CAN | 52 | 2 | 3,000,000$ |
General Manager | Pascal Lyrette |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Patrik Laine | 0 | RW | 30 | 9 | 8 | 17 | -15 | 6 | 0 | 68 | 95 | 31 | 54 | 9.47% | 17 | 20.30 | 1 | 3 | 4 | 54 | 1 | 0 | 1 | 38 | 2 | 1 | 38.60% | 57 | 24 | 9 | 0 | 0 | 0.56 | 0 | 0 | ||
2 | Auston Matthews | 0 | C | 30 | 10 | 7 | 17 | -11 | 0 | 0 | 18 | 116 | 23 | 54 | 8.62% | 14 | 18.35 | 2 | 2 | 4 | 48 | 0 | 0 | 0 | 0 | 1 | 1 | 52.65% | 604 | 27 | 14 | 0 | 0 | 0.62 | 1 | 3 | ||
3 | Kyle Turris | 0 | C/LW/RW | 30 | 6 | 8 | 14 | 2 | 4 | 0 | 21 | 63 | 13 | 42 | 9.52% | 9 | 11.87 | 0 | 0 | 0 | 11 | 1 | 1 | 2 | 60 | 0 | 1 | 52.02% | 198 | 11 | 7 | 0 | 0 | 0.79 | 1 | 1 | ||
4 | Scott Laughton | 0 | C | 30 | 8 | 6 | 14 | -1 | 4 | 0 | 72 | 76 | 25 | 48 | 10.53% | 20 | 15.19 | 1 | 0 | 1 | 26 | 0 | 1 | 1 | 46 | 2 | 2 | 52.71% | 351 | 12 | 11 | 0 | 0 | 0.61 | 0 | 0 | ||
5 | Jared McCann | 0 | C/LW | 30 | 8 | 6 | 14 | 4 | 6 | 0 | 53 | 74 | 18 | 39 | 10.81% | 10 | 14.52 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 32 | 0 | 1 | 48.15% | 27 | 12 | 14 | 0 | 0 | 0.64 | 0 | 0 | ||
6 | Aaron Ekblad | 0 | D | 30 | 2 | 11 | 13 | -4 | 20 | 0 | 18 | 52 | 20 | 24 | 3.85% | 44 | 23.45 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 19 | 36 | 0 | 0 | 0.37 | 0 | 0 | ||
7 | Kris Letang | 0 | D | 30 | 1 | 11 | 12 | -4 | 8 | 0 | 69 | 56 | 27 | 29 | 1.79% | 38 | 23.55 | 0 | 1 | 1 | 36 | 0 | 1 | 1 | 37 | 1 | 0 | 0.00% | 0 | 24 | 26 | 0 | 0 | 0.34 | 0 | 0 | ||
8 | Anthony Beauvillier | 0 | LW | 30 | 3 | 9 | 12 | -8 | 6 | 0 | 67 | 53 | 15 | 41 | 5.66% | 9 | 17.99 | 1 | 5 | 6 | 48 | 0 | 0 | 0 | 0 | 0 | 1 | 35.29% | 17 | 16 | 9 | 0 | 0 | 0.44 | 0 | 0 | ||
9 | Jason Spezza | 0 | C/RW | 30 | 3 | 8 | 11 | 5 | 6 | 0 | 23 | 52 | 12 | 24 | 5.77% | 11 | 13.74 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 4 | 1 | 0 | 54.79% | 188 | 6 | 5 | 0 | 0 | 0.53 | 0 | 0 | ||
10 | Cale Makar | 0 | D | 29 | 0 | 10 | 10 | -4 | 2 | 0 | 30 | 62 | 18 | 25 | 0.00% | 41 | 23.22 | 0 | 2 | 2 | 61 | 0 | 1 | 1 | 71 | 0 | 0 | 0.00% | 0 | 25 | 29 | 0 | 0 | 0.30 | 1 | 2 | ||
11 | Warren Foegele | 0 | LW/RW | 30 | 0 | 9 | 9 | -4 | 4 | 0 | 48 | 73 | 21 | 41 | 0.00% | 14 | 17.73 | 0 | 0 | 0 | 40 | 0 | 1 | 1 | 44 | 0 | 0 | 35.48% | 31 | 13 | 9 | 0 | 0 | 0.34 | 0 | 0 | ||
12 | Thomas Chabot | 0 | D | 30 | 2 | 7 | 9 | 5 | 16 | 0 | 57 | 51 | 25 | 17 | 3.92% | 43 | 22.08 | 2 | 0 | 2 | 54 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 15 | 26 | 0 | 0 | 0.27 | 0 | 0 | ||
13 | Patrick Marleau | 0 | C/LW/RW | 30 | 3 | 4 | 7 | -3 | 6 | 0 | 58 | 49 | 10 | 24 | 6.12% | 9 | 17.28 | 0 | 0 | 0 | 40 | 0 | 1 | 1 | 41 | 1 | 0 | 47.22% | 36 | 6 | 12 | 0 | 0 | 0.27 | 0 | 2 | ||
14 | Sean Monahan | 0 | C | 24 | 4 | 2 | 6 | -8 | 6 | 0 | 38 | 83 | 25 | 35 | 4.82% | 10 | 14.98 | 0 | 0 | 0 | 30 | 0 | 0 | 0 | 0 | 0 | 0 | 51.76% | 340 | 15 | 6 | 0 | 0 | 0.33 | 0 | 1 | ||
15 | Deryk Engelland | 0 | D | 28 | 0 | 5 | 5 | 0 | 12 | 0 | 60 | 23 | 7 | 10 | 0.00% | 35 | 16.06 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 2 | 19 | 0 | 0 | 0.22 | 0 | 0 | ||
16 | Riley Nash | 0 | C/RW | 30 | 3 | 1 | 4 | 2 | 0 | 0 | 40 | 24 | 6 | 13 | 12.50% | 10 | 12.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 48.44% | 128 | 2 | 8 | 0 | 0 | 0.21 | 0 | 0 | ||
17 | Nicolas Deslauriers | 0 | LW | 19 | 2 | 1 | 3 | 3 | 8 | 0 | 22 | 17 | 1 | 11 | 11.76% | 2 | 8.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 3 | 3 | 2 | 0 | 0 | 0.36 | 0 | 0 | ||
18 | Jacob Bernard-Docker | 0 | D | 12 | 0 | 2 | 2 | -1 | 6 | 0 | 4 | 3 | 2 | 4 | 0.00% | 9 | 14.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 2 | 8 | 0 | 0 | 0.23 | 0 | 0 | ||
19 | Shane Bowers | 0 | C | 20 | 1 | 0 | 1 | 0 | 2 | 0 | 8 | 9 | 2 | 4 | 11.11% | 4 | 9.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 20 | 0 | 3 | 0 | 0 | 0.10 | 0 | 0 | ||
20 | Dennis Cholowski | 0 | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 1 | 0 | 0.00% | 2 | 22.53 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 3 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Benoit-Olivier Groulx | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 8.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 524 | 65 | 115 | 180 | -41 | 122 | 0 | 775 | 1033 | 302 | 539 | 6.29% | 351 | 16.99 | 7 | 13 | 20 | 503 | 3 | 6 | 9 | 487 | 9 | 7 | 51.45% | 2000 | 235 | 256 | 0 | 0 | 0.40 | 3 | 9 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Tristan Jarry | 19 | 7 | 7 | 5 | 0.932 | 2.21 | 1167 | 0 | 0 | 43 | 631 | 299 | 0 | 1 | 0.750 | 8 | 19 | 11 | 2 | 3 | 1 | |
2 | Corey Crawford | 11 | 4 | 6 | 1 | 0.919 | 2.72 | 661 | 0 | 0 | 30 | 371 | 175 | 1 | 3 | 0.000 | 0 | 11 | 19 | 1 | 1 | 1 | |
Team Total or Average | 30 | 11 | 13 | 6 | 0.927 | 2.40 | 1828 | 0 | 0 | 73 | 1002 | 474 | 1 | 4 | 0.750 | 8 | 30 | 30 | 3 | 4 | 2 |
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 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 57 | 20 | 20 | 17 | 0 | 77 | 30 | 12 | 46 | 2 | 1 | 50.00% | 6 | 1 | 83.33% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 41 | 23 | 46 | 18 | 34 | 16 | 33.3% | 5.3% | 93.5% | 98.8 | DULL | |
2 | 4 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 7 | 10 | -3 | 4 | 0.500 | 7 | 11 | 18 | 1 | 0 | 2 | 1 | 2 | 2 | 118 | 48 | 38 | 29 | 6 | 132 | 49 | 8 | 88 | 12 | 1 | 8.33% | 4 | 0 | 100.00% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 86 | 50 | 90 | 37 | 71 | 36 | 37.5% | 5.9% | 92.4% | 98.4 | DULL | |
3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 38 | 15 | 11 | 12 | 0 | 40 | 15 | 4 | 23 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 22 | 12 | 21 | 9 | 20 | 10 | 25.0% | 5.3% | 92.5% | 97.8 | DULL | |
4 | 5 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 10 | 12 | -2 | 5 | 0.500 | 10 | 19 | 29 | 1 | 0 | 2 | 6 | 2 | 0 | 189 | 64 | 67 | 55 | 6 | 159 | 61 | 24 | 149 | 2 | 0 | 0.00% | 12 | 2 | 83.33% | 1 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 110 | 67 | 108 | 42 | 85 | 42 | 50.0% | 5.3% | 92.5% | 97.7 | DULL | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 1 | 0 | 1 | 0 | 27 | 9 | 6 | 12 | 0 | 37 | 16 | 4 | 23 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 20 | 11 | 23 | 9 | 16 | 8 | 33.3% | 7.4% | 89.2% | 96.6 | Unlucky | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 42 | 10 | 13 | 19 | 0 | 65 | 26 | 4 | 48 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 39 | 22 | 45 | 17 | 34 | 16 | 33.3% | 7.1% | 90.8% | 97.9 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 34 | 13 | 7 | 14 | 0 | 31 | 14 | 8 | 29 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 21 | 12 | 21 | 9 | 16 | 8 | 75.0% | 11.8% | 96.8% | 108.5 | LUCKY | |
8 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 0 | 2 | 3 | 62 | 20 | 11 | 26 | 8 | 72 | 29 | 14 | 43 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 46 | 27 | 42 | 18 | 36 | 18 | 71.4% | 9.7% | 94.4% | 104.1 | LUCKY | |
9 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | -3 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 73 | 12 | 33 | 27 | 1 | 61 | 18 | 6 | 51 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 48 | 29 | 39 | 17 | 36 | 18 | 33.3% | 2.7% | 91.8% | 94.5 | DULL | |
10 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.500 | 9 | 16 | 25 | 0 | 0 | 0 | 4 | 4 | 1 | 129 | 44 | 33 | 51 | 1 | 122 | 45 | 16 | 91 | 11 | 2 | 18.18% | 8 | 1 | 87.50% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 83 | 46 | 85 | 36 | 71 | 35 | 50.0% | 7.0% | 93.4% | 100.4 | DULL | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 41 | 16 | 8 | 17 | 0 | 28 | 10 | 6 | 25 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 22 | 14 | 21 | 8 | 16 | 7 | 33.3% | 2.4% | 89.3% | 91.7 | Unlucky | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 1.000 | 7 | 10 | 17 | 0 | 0 | 0 | 5 | 2 | 0 | 33 | 10 | 17 | 6 | 0 | 32 | 10 | 6 | 26 | 0 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 18 | 10 | 24 | 9 | 16 | 8 | 63.6% | 21.2% | 84.4% | 105.6 | FUN | |
13 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 32 | 14 | 14 | 4 | 0 | 30 | 7 | 6 | 31 | 2 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 21 | 12 | 22 | 9 | 16 | 8 | 66.7% | 6.3% | 90.0% | 96.3 | Unlucky | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 12 | 12 | 7 | 0 | 40 | 10 | 6 | 31 | 0 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 22 | 13 | 21 | 8 | 16 | 8 | 25.0% | 3.2% | 90.0% | 93.2 | Unlucky | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 0 | 2 | 3 | 0 | 63 | 20 | 20 | 23 | 0 | 80 | 28 | 10 | 49 | 5 | 0 | 0.00% | 5 | 2 | 60.00% | 1 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 40 | 22 | 45 | 17 | 33 | 17 | 62.5% | 7.9% | 93.8% | 101.7 | DULL | |
_Vs Division | 12 | 3 | 6 | 0 | 1 | 0 | 1 | 1 | 27 | 33 | -6 | 11 | 0.458 | 27 | 44 | 71 | 2 | 0 | 4 | 13 | 8 | 2 | 382 | 132 | 135 | 109 | 12 | 388 | 146 | 42 | 311 | 17 | 1 | 5.88% | 21 | 3 | 85.71% | 2 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 256 | 150 | 269 | 106 | 207 | 103 | 46.4% | 7.1% | 91.5% | 98.6 | DULL | |
_Vs Conference | 21 | 5 | 10 | 0 | 3 | 0 | 2 | 1 | 48 | 54 | -6 | 21 | 0.500 | 48 | 79 | 127 | 2 | 0 | 6 | 20 | 17 | 6 | 667 | 228 | 211 | 216 | 21 | 702 | 258 | 88 | 525 | 39 | 4 | 10.26% | 44 | 9 | 79.55% | 3 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 449 | 261 | 464 | 186 | 364 | 182 | 49.4% | 7.2% | 92.3% | 99.5 | DULL | |
_Since Last GM Reset | 30 | 6 | 13 | 0 | 3 | 5 | 2 | 1 | 64 | 78 | -14 | 28 | 0.467 | 64 | 107 | 171 | 4 | 0 | 12 | 25 | 22 | 6 | 969 | 327 | 310 | 319 | 22 | 1006 | 368 | 134 | 753 | 53 | 7 | 13.21% | 67 | 14 | 79.10% | 3 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 648 | 378 | 660 | 266 | 522 | 260 | 47.1% | 6.6% | 92.2% | 98.9 | DULL | |
Total | 30 | 6 | 13 | 0 | 3 | 5 | 2 | 1 | 64 | 78 | -14 | 28 | 0.467 | 64 | 107 | 171 | 4 | 0 | 12 | 25 | 22 | 6 | 969 | 327 | 310 | 319 | 22 | 1006 | 368 | 134 | 753 | 53 | 7 | 13.21% | 67 | 14 | 79.10% | 3 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 648 | 378 | 660 | 266 | 522 | 260 | 47.1% | 6.6% | 92.2% | 98.9 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 661 |
Neutral Zone Start | 395 |
Defensive Zone Start | 695 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 923 |
Faceoffs Lost | 828 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 21.2 | 20.31 |
3rd Period | 31.9 | 30.68 |
Overtime | 32.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.2 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.2 | 2.83 |
Even Strenght Goal | 50 |
---|---|
PP Goal | 7 |
PK Goal | 3 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 5 | 6 |
Lost | 8 | 5 |
Overtime Lost | 3 | 3 |
PP Attempt | 53 |
---|---|
PP Goal | 7 |
PK Attempt | 67 |
PK Goal Against | 14 |
Home | |
---|---|
Shots For | 32.3 |
Shots Against | 33.5 |
Goals For | 2.1 |
Goals Against | 2.6 |
Hits | 25.1 |
Shots Blocked | 12.3 |
Pim | 4.5 |
Projected Total Cap Hit | 75,544,833$ |
Projected Cap Space | 12,455,167$ |
Retains And Buyout Cap Hit | 550,000$ |
Salary Cap To Date | 25,259,251$ |
Players In Salary Cap | 26 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad | D | 24 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||
Anthony Beauvillier | LW | 23 | 2,100,000$ | 2,100,000$ | RFA | ||||||
Auston Matthews | C | 23 | 11,634,000$ | 11,634,000$ | 11,634,000$ | 11,634,000$ | 11,634,000$ | ||||
Benoit-Olivier Groulx ![]() | C | 20 | 822,500$ | 822,500$ | 822,500$ | 822,500$ | RFA | ||||
Cale Makar ![]() | D | 22 | 880,833$ | 880,833$ | RFA | ||||||
Corey Crawford ![]() ![]() | G | 36 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Dennis Cholowski ![]() | D | 22 | 890,000$ | 890,000$ | RFA | ||||||
Deryk Engelland ![]() ![]() | D | 38 | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | |||||
Jacob Bernard-Docker ![]() | D | 20 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | ||||
Jared McCann | C/LW | 24 | 2,600,000$ | 2,600,000$ | 2,600,000$ | ||||||
Jason Spezza ![]() ![]() | C/RW | 37 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Kris Letang | D | 33 | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | |||||
Kyle Turris ![]() ![]() | C/LW/RW | 31 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
Mitchell Stephens ![]() | C | 23 | 825,000$ | 825,000$ | RFA | ||||||
Nicolas Deslauriers ![]() ![]() | LW | 29 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||
Patrick Marleau ![]() ![]() | C/LW/RW | 41 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Patrik Laine | RW | 22 | 6,750,000$ | 6,750,000$ | RFA | ||||||
Riley Nash ![]() ![]() | C/RW | 31 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||
Scott Laughton ![]() | C | 26 | 2,300,000$ | 2,300,000$ | |||||||
Sean Monahan | C | 26 | 6,375,000$ | 6,375,000$ | 6,375,000$ | 6,375,000$ | UFA | ||||
Shane Bowers ![]() | C | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Thomas Chabot ![]() | D | 23 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | |||||
Tristan Jarry | G | 25 | 2,100,000$ | 2,100,000$ | |||||||
Warren Foegele ![]() | LW/RW | 24 | 1,575,000$ | 1,575,000$ |
Non-Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adin Hill ![]() | G | 24 | 0$ | 925,000$ | 925,000$ | ||||||
Antoine Morand ![]() | C | 21 | 775,000$ | 775,000$ | RFA | ||||||
Boris Katchouk ![]() | LW | 22 | 850,000$ | 850,000$ | RFA | ||||||
Michael Dipietro ![]() | G | 21 | 850,000$ | 850,000$ | RFA | ||||||
Olivier Rodrigue ![]() | G | 20 | 795,000$ | 795,000$ | 795,000$ | 795,000$ | RFA | ||||
Samuel Montembeault ![]() | G | 24 | 175,000$ | 1,250,000$ | 1,250,000$ |
Forward Lines | |||||||
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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 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 57 | 20 | 20 | 17 | 0 | 77 | 30 | 12 | 46 | 2 | 1 | 50.00% | 6 | 1 | 83.33% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 41 | 23 | 46 | 18 | 34 | 16 | 33.3% | 5.3% | 93.5% | 98.8 | DULL | |
2 | 4 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 7 | 10 | -3 | 4 | 0.500 | 7 | 11 | 18 | 1 | 0 | 2 | 1 | 2 | 2 | 118 | 48 | 38 | 29 | 6 | 132 | 49 | 8 | 88 | 12 | 1 | 8.33% | 4 | 0 | 100.00% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 86 | 50 | 90 | 37 | 71 | 36 | 37.5% | 5.9% | 92.4% | 98.4 | DULL | |
3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 38 | 15 | 11 | 12 | 0 | 40 | 15 | 4 | 23 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 22 | 12 | 21 | 9 | 20 | 10 | 25.0% | 5.3% | 92.5% | 97.8 | DULL | |
4 | 5 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 10 | 12 | -2 | 5 | 0.500 | 10 | 19 | 29 | 1 | 0 | 2 | 6 | 2 | 0 | 189 | 64 | 67 | 55 | 6 | 159 | 61 | 24 | 149 | 2 | 0 | 0.00% | 12 | 2 | 83.33% | 1 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 110 | 67 | 108 | 42 | 85 | 42 | 50.0% | 5.3% | 92.5% | 97.7 | DULL | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 1 | 0 | 1 | 0 | 27 | 9 | 6 | 12 | 0 | 37 | 16 | 4 | 23 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 20 | 11 | 23 | 9 | 16 | 8 | 33.3% | 7.4% | 89.2% | 96.6 | Unlucky | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 42 | 10 | 13 | 19 | 0 | 65 | 26 | 4 | 48 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 39 | 22 | 45 | 17 | 34 | 16 | 33.3% | 7.1% | 90.8% | 97.9 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 34 | 13 | 7 | 14 | 0 | 31 | 14 | 8 | 29 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 21 | 12 | 21 | 9 | 16 | 8 | 75.0% | 11.8% | 96.8% | 108.5 | LUCKY | |
8 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 0 | 2 | 3 | 62 | 20 | 11 | 26 | 8 | 72 | 29 | 14 | 43 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 46 | 27 | 42 | 18 | 36 | 18 | 71.4% | 9.7% | 94.4% | 104.1 | LUCKY | |
9 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | -3 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 73 | 12 | 33 | 27 | 1 | 61 | 18 | 6 | 51 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 48 | 29 | 39 | 17 | 36 | 18 | 33.3% | 2.7% | 91.8% | 94.5 | DULL | |
10 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.500 | 9 | 16 | 25 | 0 | 0 | 0 | 4 | 4 | 1 | 129 | 44 | 33 | 51 | 1 | 122 | 45 | 16 | 91 | 11 | 2 | 18.18% | 8 | 1 | 87.50% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 83 | 46 | 85 | 36 | 71 | 35 | 50.0% | 7.0% | 93.4% | 100.4 | DULL | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 41 | 16 | 8 | 17 | 0 | 28 | 10 | 6 | 25 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 22 | 14 | 21 | 8 | 16 | 7 | 33.3% | 2.4% | 89.3% | 91.7 | Unlucky | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 1.000 | 7 | 10 | 17 | 0 | 0 | 0 | 5 | 2 | 0 | 33 | 10 | 17 | 6 | 0 | 32 | 10 | 6 | 26 | 0 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 18 | 10 | 24 | 9 | 16 | 8 | 63.6% | 21.2% | 84.4% | 105.6 | FUN | |
13 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 32 | 14 | 14 | 4 | 0 | 30 | 7 | 6 | 31 | 2 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 21 | 12 | 22 | 9 | 16 | 8 | 66.7% | 6.3% | 90.0% | 96.3 | Unlucky | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 12 | 12 | 7 | 0 | 40 | 10 | 6 | 31 | 0 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 22 | 13 | 21 | 8 | 16 | 8 | 25.0% | 3.2% | 90.0% | 93.2 | Unlucky | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 0 | 2 | 3 | 0 | 63 | 20 | 20 | 23 | 0 | 80 | 28 | 10 | 49 | 5 | 0 | 0.00% | 5 | 2 | 60.00% | 1 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 40 | 22 | 45 | 17 | 33 | 17 | 62.5% | 7.9% | 93.8% | 101.7 | DULL | |
_Vs Division | 12 | 3 | 6 | 0 | 1 | 0 | 1 | 1 | 27 | 33 | -6 | 11 | 0.458 | 27 | 44 | 71 | 2 | 0 | 4 | 13 | 8 | 2 | 382 | 132 | 135 | 109 | 12 | 388 | 146 | 42 | 311 | 17 | 1 | 5.88% | 21 | 3 | 85.71% | 2 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 256 | 150 | 269 | 106 | 207 | 103 | 46.4% | 7.1% | 91.5% | 98.6 | DULL | |
_Vs Conference | 21 | 5 | 10 | 0 | 3 | 0 | 2 | 1 | 48 | 54 | -6 | 21 | 0.500 | 48 | 79 | 127 | 2 | 0 | 6 | 20 | 17 | 6 | 667 | 228 | 211 | 216 | 21 | 702 | 258 | 88 | 525 | 39 | 4 | 10.26% | 44 | 9 | 79.55% | 3 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 449 | 261 | 464 | 186 | 364 | 182 | 49.4% | 7.2% | 92.3% | 99.5 | DULL | |
_Since Last GM Reset | 30 | 6 | 13 | 0 | 3 | 5 | 2 | 1 | 64 | 78 | -14 | 28 | 0.467 | 64 | 107 | 171 | 4 | 0 | 12 | 25 | 22 | 6 | 969 | 327 | 310 | 319 | 22 | 1006 | 368 | 134 | 753 | 53 | 7 | 13.21% | 67 | 14 | 79.10% | 3 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 648 | 378 | 660 | 266 | 522 | 260 | 47.1% | 6.6% | 92.2% | 98.9 | DULL | |
Total | 30 | 6 | 13 | 0 | 3 | 5 | 2 | 1 | 64 | 78 | -14 | 28 | 0.467 | 64 | 107 | 171 | 4 | 0 | 12 | 25 | 22 | 6 | 969 | 327 | 310 | 319 | 22 | 1006 | 368 | 134 | 753 | 53 | 7 | 13.21% | 67 | 14 | 79.10% | 3 | 329 | 661 | 49.77% | 386 | 695 | 55.54% | 208 | 395 | 52.66% | 648 | 378 | 660 | 266 | 522 | 260 | 47.1% | 6.6% | 92.2% | 98.9 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 661 |
Neutral Zone Start | 395 |
Defensive Zone Start | 695 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 923 |
Faceoffs Lost | 828 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 21.2 | 20.31 |
3rd Period | 31.9 | 30.68 |
Overtime | 32.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.2 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.2 | 2.83 |
Even Strenght Goal | 50 |
---|---|
PP Goal | 7 |
PK Goal | 3 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 5 | 6 |
Lost | 8 | 5 |
Overtime Lost | 3 | 3 |
PP Attempt | 53 |
---|---|
PP Goal | 7 |
PK Attempt | 67 |
PK Goal Against | 14 |
Home | |
---|---|
Shots For | 32.3 |
Shots Against | 33.5 |
Goals For | 2.1 |
Goals Against | 2.6 |
Hits | 25.1 |
Shots Blocked | 12.3 |
Pim | 4.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-12-10 | VS | WPG7,MIN5 | RECAP | |||||||||||
2020-12-12 | VS | DAL4,WPG2 | RECAP | |||||||||||
2020-12-15 | VS | COL3,WPG1 | RECAP | |||||||||||
2020-12-19 | VS | NJD4,WPG2 | RECAP | |||||||||||
2020-12-22 | VS | WPG3,ARI2 (OT) | RECAP | |||||||||||
2020-12-23 | VS | COL4,WPG1 | RECAP | |||||||||||
2020-12-27 | VS | LAK2,WPG3 (OT) | RECAP | |||||||||||
2020-12-29 | VS | WPG3,DAL1 | RECAP | |||||||||||
2020-12-30 | VS | WPG1,BOS2 (OT) | RECAP | |||||||||||
2021-01-01 | VS | ARI3,WPG2 | RECAP | |||||||||||
2021-01-04 | VS | WPG1,CBJ3 | RECAP | |||||||||||
2021-01-06 | VS | DAL1,WPG2 | RECAP | |||||||||||
2021-01-07 | VS | WPG3,ARI1 | RECAP | |||||||||||
2021-01-09 | VS | OTT3,WPG1 | RECAP | |||||||||||
2021-01-11 | VS | WPG1,CHI3 | RECAP | |||||||||||
2021-01-14 | VS | VGK3,WPG2 | RECAP | |||||||||||
2021-01-16 | VS | WPG2,CHI3 | RECAP | |||||||||||
2021-01-18 | VS | CAR1,WPG4 | RECAP | |||||||||||
2021-01-22 | VS | TBL3,WPG2 (OT) | RECAP | |||||||||||
2021-01-26 | VS | WPG2,BOS3 (OT) | RECAP | |||||||||||
2021-01-27 | VS | LAK2,WPG3 (SO) | RECAP | |||||||||||
2021-01-31 | VS | WPG1,SJS4 | RECAP | |||||||||||
2021-02-01 | VS | Buf3,WPG2 (OT) | RECAP | |||||||||||
2021-02-04 | VS | WPG1,ARI2 | RECAP | |||||||||||
2021-02-05 | VS | CBJ2,WPG1 (OT) | RECAP | |||||||||||
2021-02-09 | VS | WPG3,VGK2 | RECAP | |||||||||||
2021-02-10 | VS | DAL3,WPG1 | RECAP | |||||||||||
2021-02-13 | VS | WPG2,DAL3 (SO) | RECAP | |||||||||||
2021-02-14 | VS | COL1,WPG2 (OT) | RECAP | |||||||||||
2021-02-17 | VS | WPG3,COL2 (SO) | RECAP | |||||||||||
2021-02-19 | VS | |||||||||||||
2021-02-20 | VS | |||||||||||||
2021-02-25 | VS | |||||||||||||
2021-02-28 | VS | |||||||||||||
2021-03-02 | VS | |||||||||||||
2021-03-03 | VS | |||||||||||||
2021-03-07 | VS | |||||||||||||
2021-03-08 | VS | |||||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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2021-06-19 | VS |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
77,502,333$ | 550,000$ | 75,544,833$ | 12,455,167$ |
Arena | Goal Horn | About us | |
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![]() | Name | Bell MTS Place | |
City | Winnipeg | ||
Capacity | 18545 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2545 | 4000 | 1000 |
Ticket Price | 138$ | 117$ | 88$ | 51$ | 236$ |
Attendance | 77030 | 64000 | 32576 | 52128 | 13230 |
Attendance PCT | 80.24% | 80.00% | 80.00% | 81.45% | 82.69% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
25 | 14935 - 80.54% | 2,091,065$ | 33,457,045$ | 18545 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
77,502,333$ | 77,502,333$ | 0$ | 550,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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27,043,595$ | 75,544,833$ | 25,259,251$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
52,276,633$ | 125 | 410,726$ | 51,340,750$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
51,871,229$ | 75,544,833$ | 82,437,282$ | 87,349,353$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2021 | |||||
2022 | |||||
2023 | |||||
2024 | |||||
2025 |
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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Dylan Samberg | |||||
Jack Drury | |||||
Tyler Madden |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2021 | |||||
2022 | |||||
2023 | |||||
2024 | |||||
2025 |
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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Dylan Samberg | |||||
Jack Drury | |||||
Tyler Madden |
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