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Full Scoreboard »» |
New York Rangers 27-15-5, 59pts · 6th in Conference Est |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 99.00 | 56 | 39 | 86 | 86 | 69 | 87 | 78 | 84 | 53 | 92 | 74 | 82 | 86 | 65 | 77 | 88 | 50 | 75 | 22 | 10,893,000$/6yrs | |||
![]() | 0 | C | 100.00 | 55 | 41 | 89 | 86 | 64 | 85 | 87 | 84 | 79 | 83 | 80 | 66 | 82 | 67 | 68 | 63 | 50 | 73 | 23 | 6,750,000$/3yrs | |||
![]() | 0 | C | 100.00 | 64 | 43 | 77 | 90 | 77 | 87 | 90 | 83 | 86 | 79 | 74 | 63 | 79 | 67 | 74 | 82 | 50 | 73 | 23 | 6,100,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 83 | 53 | 64 | 79 | 81 | 83 | 88 | 78 | 53 | 82 | 77 | 58 | 79 | 65 | 71 | 87 | 50 | 71 | 21 | 7,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 56 | 42 | 85 | 74 | 83 | 81 | 77 | 73 | 79 | 78 | 69 | 62 | 74 | 65 | 66 | 88 | 50 | 68 | 22 | 863,333$/1yrs | |||
![]() | 0 | C | 100.00 | 83 | 41 | 87 | 70 | 78 | 75 | 85 | 69 | 74 | 76 | 65 | 58 | 67 | 82 | 74 | 52 | 50 | 67 | 32 | 1,200,000$/1yrs | |||
![]() | 0 | C | 100.00 | 54 | 40 | 83 | 71 | 75 | 79 | 82 | 69 | 83 | 75 | 64 | 62 | 68 | 79 | 75 | 67 | 50 | 66 | 30 | 6,000,000$/5yrs | |||
![]() | 0 | C | 100.00 | 79 | 47 | 81 | 63 | 78 | 70 | 68 | 61 | 75 | 58 | 59 | 88 | 59 | 73 | 67 | 37 | 50 | 65 | 26 | 700,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 67 | 48 | 87 | 64 | 89 | 73 | 75 | 62 | 68 | 59 | 63 | 65 | 62 | 69 | 64 | 71 | 50 | 63 | 24 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 66 | 46 | 86 | 63 | 84 | 75 | 72 | 61 | 67 | 62 | 60 | 64 | 63 | 71 | 66 | 76 | 50 | 62 | 25 | 700,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 86 | 49 | 75 | 61 | 89 | 73 | 83 | 59 | 56 | 55 | 60 | 66 | 59 | 71 | 67 | 64 | 50 | 62 | 25 | 1,200,000$/2yrs | |||
![]() | 0 | C | 100.00 | 63 | 44 | 86 | 60 | 95 | 72 | 64 | 56 | 73 | 52 | 55 | 63 | 61 | 75 | 68 | 71 | 50 | 60 | 27 | 4,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 41 | 83 | 76 | 78 | 91 | 88 | 74 | 30 | 77 | 75 | 83 | 62 | 65 | 66 | 86 | 50 | 74 | 22 | 6,750,000$/6yrs | |||
![]() | 0 | D | 100.00 | 81 | 48 | 68 | 73 | 84 | 86 | 89 | 72 | 30 | 78 | 71 | 77 | 58 | 63 | 65 | 86 | 50 | 72 | 21 | 894,166$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 42 | 73 | 77 | 70 | 89 | 88 | 76 | 30 | 75 | 65 | 73 | 58 | 71 | 75 | 83 | 50 | 72 | 25 | 6,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 82 | 45 | 72 | 74 | 71 | 92 | 84 | 73 | 30 | 78 | 71 | 69 | 58 | 65 | 63 | 71 | 50 | 70 | 21 | 714,166$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 40 | 82 | 74 | 73 | 89 | 84 | 72 | 30 | 80 | 63 | 68 | 54 | 69 | 65 | 82 | 50 | 68 | 24 | 3,150,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 41 | 75 | 64 | 80 | 81 | 65 | 62 | 30 | 71 | 55 | 77 | 51 | 78 | 68 | 71 | 50 | 67 | 29 | 1,300,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 58 | 42 | 79 | 61 | 70 | 79 | 77 | 60 | 65 | 58 | 59 | 57 | 62 | 71 | 66 | 59 | 50 | 60 | 25 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 55 | 69 | 59 | 96 | 79 | 70 | 58 | 30 | 57 | 55 | 66 | 45 | 75 | 68 | 71 | 50 | 65 | 27 | 700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 39 | 87 | 63 | 71 | 82 | 77 | 62 | 30 | 72 | 59 | 64 | 52 | 75 | 68 | 36 | 50 | 64 | 27 | 1,400,000$/2yrs | |||
TEAM AVERAGE | 99.95 | 70 | 44 | 80 | 71 | 79 | 81 | 80 | 69 | 55 | 71 | 65 | 68 | 64 | 71 | 69 | 71 | 50 | 67 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 88 | 90 | 88 | 96 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 80 | 86 | 53 | 50 | 85 | 31 | 4,500,000$/3yrs |
![]() | 0 | 100.00 | 76 | 88 | 86 | 95 | 75 | 74 | 76 | 75 | 74 | 76 | 75 | 71 | 75 | 70 | 50 | 76 | 25 | 750,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 76 | 85 | 83 | 74 | 75 | 74 | 76 | 75 | 74 | 76 | 75 | 61 | 65 | 67 | 50 | 72 | 20 | 811,667$/3yrs |
TEAM AVERAGE | 99.00 | 80 | 88 | 86 | 88 | 79 | 78 | 80 | 79 | 78 | 80 | 79 | 71 | 75 | 63 | 50 | 78 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 87 | 49 | 75 | 62 | 74 | 70 | 84 | 61 | 52 | 56 | 60 | 57 | 59 | 65 | 66 | 58 | 60 | 60 | 22 | 759,167$/1yrs | |||
![]() | 0 | RW | 100.00 | 61 | 42 | 89 | 63 | 73 | 76 | 68 | 61 | 53 | 57 | 62 | 60 | 63 | 69 | 65 | 53 | 60 | 60 | 24 | 925,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 81 | 42 | 87 | 63 | 84 | 70 | 72 | 61 | 53 | 60 | 59 | 56 | 62 | 67 | 64 | 86 | 60 | 60 | 23 | 700,000$/2yrs | |||
![]() | 0 | C | 100.00 | 59 | 39 | 81 | 62 | 72 | 78 | 74 | 61 | 76 | 60 | 58 | 59 | 62 | 61 | 63 | 81 | 60 | 59 | 19 | 925,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 70 | 48 | 84 | 58 | 80 | 75 | 74 | 57 | 52 | 56 | 59 | 58 | 57 | 65 | 63 | 54 | 60 | 59 | 22 | 694,444$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 51 | 83 | 58 | 74 | 86 | 87 | 57 | 30 | 56 | 53 | 54 | 45 | 65 | 63 | 84 | 60 | 60 | 22 | 863,333$/1yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Samuel Bourque |
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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 | Mitchell Marner | 0 | RW | 47 | 13 | 25 | 38 | -2 | 2 | 0 | 34 | 168 | 64 | 79 | 7.74% | 31 | 21.96 | 3 | 11 | 14 | 132 | 1 | 2 | 3 | 78 | 0 | 2 | 42.19% | 64 | 48 | 17 | 1 | 0 | 0.74 | 1 | 4 | ||
2 | Brayden Point | 0 | C | 47 | 20 | 16 | 36 | -5 | 0 | 0 | 24 | 153 | 46 | 95 | 13.07% | 9 | 21.00 | 9 | 4 | 13 | 131 | 1 | 0 | 1 | 51 | 6 | 1 | 51.94% | 1055 | 33 | 8 | 0 | 0 | 0.73 | 1 | 5 | ||
3 | Dylan Larkin | 0 | C | 47 | 14 | 14 | 28 | 2 | 8 | 0 | 41 | 133 | 39 | 82 | 10.53% | 16 | 18.55 | 4 | 6 | 10 | 107 | 0 | 0 | 0 | 0 | 7 | 1 | 52.46% | 711 | 31 | 14 | 1 | 0 | 0.64 | 0 | 5 | ||
4 | Matthew Tkachuk | 0 | LW/RW | 47 | 8 | 16 | 24 | -1 | 42 | 0 | 73 | 128 | 40 | 62 | 6.25% | 15 | 19.42 | 1 | 9 | 10 | 135 | 0 | 0 | 0 | 7 | 3 | 1 | 27.45% | 51 | 39 | 11 | 0 | 0 | 0.53 | 1 | 2 | ||
5 | Josh Morrissey | 0 | D | 47 | 3 | 13 | 16 | -5 | 4 | 0 | 30 | 54 | 16 | 23 | 5.56% | 46 | 19.20 | 2 | 5 | 7 | 108 | 0 | 0 | 0 | 19 | 1 | 1 | 0.00% | 0 | 16 | 29 | 0 | 0 | 0.35 | 0 | 1 | ||
6 | Ivan Provorov | 0 | D | 47 | 3 | 12 | 15 | 0 | 10 | 0 | 64 | 74 | 36 | 41 | 4.05% | 93 | 25.56 | 2 | 5 | 7 | 148 | 0 | 1 | 1 | 80 | 1 | 1 | 0.00% | 0 | 19 | 55 | 0 | 0 | 0.25 | 0 | 0 | ||
7 | Dylan Strome | 0 | C/LW | 47 | 6 | 7 | 13 | -2 | 2 | 0 | 23 | 61 | 15 | 36 | 9.84% | 12 | 19.59 | 4 | 3 | 7 | 108 | 0 | 1 | 1 | 44 | 2 | 0 | 55.56% | 72 | 21 | 15 | 0 | 0 | 0.28 | 0 | 1 | ||
8 | Filip Hronek | 0 | D | 47 | 2 | 11 | 13 | 3 | 8 | 0 | 72 | 54 | 23 | 20 | 3.70% | 34 | 17.42 | 0 | 3 | 3 | 98 | 0 | 0 | 0 | 7 | 1 | 0 | 0.00% | 0 | 21 | 25 | 0 | 0 | 0.32 | 0 | 0 | ||
9 | Matt Dumba | 0 | D | 47 | 5 | 7 | 12 | 1 | 20 | 0 | 70 | 63 | 18 | 22 | 7.94% | 51 | 19.67 | 2 | 0 | 2 | 99 | 0 | 1 | 1 | 44 | 0 | 0 | 0.00% | 0 | 14 | 35 | 0 | 0 | 0.26 | 0 | 0 | ||
10 | Kevin Rooney | 0 | C | 47 | 7 | 4 | 11 | 9 | 12 | 0 | 45 | 59 | 16 | 41 | 11.86% | 21 | 15.57 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 71 | 1 | 1 | 46.62% | 266 | 1 | 26 | 1 | 0 | 0.30 | 0 | 0 | ||
11 | Derick Brassard | 0 | C | 47 | 7 | 3 | 10 | -8 | 2 | 0 | 63 | 83 | 30 | 57 | 8.43% | 10 | 12.99 | 2 | 0 | 2 | 12 | 0 | 0 | 0 | 11 | 2 | 1 | 40.00% | 30 | 17 | 3 | 0 | 0 | 0.33 | 0 | 0 | ||
12 | Justin Bailey | 0 | RW | 47 | 4 | 6 | 10 | 4 | 4 | 0 | 20 | 53 | 16 | 28 | 7.55% | 12 | 12.69 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 7 | 1 | 0 | 38.46% | 13 | 6 | 8 | 0 | 0 | 0.34 | 0 | 0 | ||
13 | Mikhail Sergachev | 0 | D | 47 | 1 | 8 | 9 | -1 | 37 | 5 | 98 | 76 | 29 | 33 | 1.32% | 58 | 25.00 | 1 | 0 | 1 | 146 | 0 | 0 | 0 | 65 | 0 | 0 | 0.00% | 0 | 25 | 43 | 0 | 0 | 0.15 | 0 | 0 | ||
14 | Kyle Turris | 0 | C | 47 | 4 | 5 | 9 | -7 | 6 | 0 | 13 | 73 | 27 | 41 | 5.48% | 9 | 12.20 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 49.22% | 319 | 18 | 9 | 0 | 0 | 0.31 | 0 | 1 | ||
15 | Zach Bogosian | 0 | D | 47 | 2 | 5 | 7 | 0 | 4 | 0 | 37 | 31 | 8 | 16 | 6.45% | 62 | 17.13 | 0 | 0 | 0 | 4 | 0 | 1 | 1 | 67 | 0 | 0 | 0.00% | 0 | 8 | 34 | 0 | 0 | 0.17 | 0 | 0 | ||
16 | Jujhar Khaira | 0 | LW | 47 | 0 | 2 | 2 | 6 | 8 | 0 | 33 | 15 | 8 | 7 | 0.00% | 4 | 7.65 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 13 | 0 | 0 | 60.00% | 10 | 0 | 7 | 0 | 0 | 0.11 | 0 | 0 | ||
17 | Brendan Gaunce | 0 | C | 36 | 0 | 1 | 1 | 4 | 8 | 0 | 25 | 8 | 1 | 1 | 0.00% | 4 | 9.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26.09% | 23 | 1 | 8 | 0 | 0 | 0.06 | 0 | 0 | ||
18 | Nick Bjugstad | 0 | C | 36 | 0 | 1 | 1 | -12 | 0 | 0 | 16 | 11 | 6 | 4 | 0.00% | 4 | 8.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 24 | 2 | 4 | 0 | 0 | 0.07 | 0 | 0 | ||
19 | Dylan McIlrath | 0 | D | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Jordan Oesterle | 0 | D | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.01 | 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 | 846 | 99 | 156 | 255 | -14 | 177 | 5 | 781 | 1297 | 438 | 688 | 7.63% | 491 | 16.64 | 30 | 47 | 77 | 1256 | 3 | 6 | 9 | 573 | 25 | 10 | 50.34% | 2638 | 320 | 351 | 3 | 0 | 0.36 | 3 | 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 | Mikko Koskinen | 43 | 23 | 15 | 5 | 0.942 | 1.87 | 2606 | 2 | 2 | 81 | 1397 | 658 | 6 | 3 | 0.706 | 17 | 43 | 4 | 16 | 4 | 3 | |
2 | Anthony Stolarz | 4 | 4 | 0 | 0 | 0.959 | 1.25 | 240 | 0 | 0 | 5 | 123 | 70 | 1 | 0 | 0.000 | 0 | 4 | 43 | 2 | 0 | 0 | |
Team Total or Average | 47 | 27 | 15 | 5 | 0.943 | 1.81 | 2846 | 2 | 2 | 86 | 1520 | 728 | 7 | 3 | 0.706 | 17 | 47 | 47 | 18 | 4 | 3 |
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 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 10 | 18 | 0 | 0 | 5 | 2 | 1 | 0 | 62 | 26 | 13 | 23 | 0 | 66 | 28 | 8 | 35 | 8 | 4 | 50.00% | 4 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 37 | 20 | 49 | 18 | 33 | 15 | 44.4% | 12.9% | 92.4% | 105.3 | LUCKY | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 2 | 1 | 5 | 0 | 53 | 17 | 14 | 22 | 0 | 73 | 24 | 6 | 23 | 7 | 2 | 28.57% | 3 | 1 | 66.67% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 36 | 20 | 48 | 18 | 35 | 18 | 85.7% | 15.1% | 97.3% | 112.4 | LUCKY | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 3 | 0 | 60 | 15 | 20 | 25 | 0 | 53 | 18 | 14 | 32 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 1 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 38 | 20 | 42 | 20 | 38 | 19 | 71.4% | 10.0% | 94.3% | 104.3 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 28 | 21 | 6 | 1 | 0 | 39 | 10 | 2 | 16 | 0 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 19 | 12 | 24 | 8 | 16 | 7 | 33.3% | 3.6% | 92.3% | 95.9 | DULL | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 53 | 11 | 25 | 17 | 0 | 61 | 25 | 9 | 35 | 6 | 1 | 16.67% | 3 | 1 | 66.67% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 35 | 19 | 46 | 19 | 37 | 17 | 33.3% | 5.7% | 91.8% | 97.5 | DULL | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 2 | 3 | 0 | 31 | 9 | 15 | 7 | 0 | 31 | 13 | 10 | 17 | 6 | 3 | 50.00% | 5 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 18 | 10 | 25 | 9 | 16 | 7 | 60.0% | 19.4% | 93.5% | 112.9 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 27 | 11 | 5 | 11 | 0 | 42 | 13 | 2 | 15 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 18 | 10 | 25 | 8 | 16 | 8 | 25.0% | 3.7% | 90.5% | 94.2 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 38 | 12 | 9 | 17 | 0 | 33 | 10 | 2 | 15 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 19 | 11 | 23 | 9 | 16 | 8 | 66.7% | 5.3% | 97.0% | 102.2 | DULL | |
9 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 5 | 9 | 0 | 1 | 0 | 1 | 2 | 1 | 58 | 18 | 24 | 15 | 1 | 51 | 23 | 12 | 35 | 3 | 1 | 33.33% | 6 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 42 | 24 | 42 | 19 | 36 | 16 | 75.0% | 6.9% | 98.0% | 104.9 | DULL | |
10 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 1 | 31 | 12 | 11 | 8 | 3 | 36 | 10 | 6 | 14 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 22 | 12 | 23 | 9 | 19 | 10 | 75.0% | 12.9% | 91.7% | 104.6 | LUCKY | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 0 | 2 | 1 | 0 | 62 | 10 | 29 | 23 | 0 | 76 | 22 | 8 | 33 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 40 | 24 | 47 | 16 | 32 | 15 | 14.3% | 4.8% | 90.8% | 95.6 | Unlucky | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 0 | 1 | 2 | 0 | 54 | 25 | 11 | 18 | 0 | 66 | 16 | 8 | 32 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 39 | 22 | 44 | 17 | 36 | 17 | 60.0% | 5.6% | 93.9% | 99.5 | DULL | |
13 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 0 | 1 | 32 | 7 | 13 | 11 | 1 | 60 | 24 | 14 | 25 | 4 | 0 | 0.00% | 7 | 1 | 85.71% | 1 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 34 | 15 | 48 | 20 | 38 | 18 | 40.0% | 6.3% | 93.3% | 99.6 | DULL | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 32 | 11 | 7 | 14 | 0 | 34 | 19 | 2 | 14 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 22 | 12 | 21 | 8 | 16 | 8 | 50.0% | 6.3% | 97.1% | 103.3 | DULL | |
15 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | -4 | 1 | 0.250 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 45 | 15 | 16 | 13 | 4 | 68 | 27 | 4 | 38 | 8 | 1 | 12.50% | 2 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 37 | 19 | 50 | 19 | 37 | 18 | 0.0% | 2.2% | 92.6% | 94.9 | DULL | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 28 | 13 | 9 | 6 | 0 | 29 | 7 | 10 | 15 | 2 | 1 | 50.00% | 6 | 1 | 83.33% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 20 | 11 | 20 | 9 | 18 | 9 | 100.0% | 10.7% | 96.6% | 107.3 | LUCKY | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 1 | 0 | 1 | 0 | 64 | 20 | 20 | 24 | 0 | 61 | 16 | 8 | 37 | 6 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 38 | 20 | 43 | 19 | 37 | 18 | 25.0% | 3.1% | 88.5% | 91.6 | Unlucky | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 31 | 12 | 7 | 12 | 0 | 34 | 7 | 2 | 21 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 22 | 13 | 21 | 8 | 16 | 8 | 66.7% | 9.7% | 97.1% | 106.7 | LUCKY | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 36 | 11 | 11 | 14 | 2 | 38 | 8 | 6 | 9 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 22 | 13 | 23 | 9 | 19 | 9 | 25.0% | 5.6% | 92.1% | 97.7 | DULL | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 55 | 22 | 20 | 13 | 0 | 71 | 20 | 2 | 29 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 39 | 22 | 46 | 16 | 33 | 17 | 50.0% | 5.5% | 95.8% | 101.2 | DULL | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 8 | 15 | 0 | 0 | 1 | 3 | 3 | 0 | 69 | 20 | 25 | 24 | 0 | 72 | 25 | 10 | 41 | 8 | 1 | 12.50% | 5 | 3 | 40.00% | 1 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 44 | 26 | 41 | 16 | 34 | 18 | 85.7% | 10.1% | 94.4% | 104.6 | LUCKY | |
22 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 23 | 7 | 9 | 7 | 0 | 36 | 10 | 0 | 24 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 21 | 12 | 21 | 9 | 19 | 8 | 33.3% | 4.3% | 94.4% | 98.8 | DULL | |
23 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 3 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 80 | 37 | 26 | 14 | 3 | 93 | 33 | 10 | 62 | 11 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 62 | 32 | 66 | 27 | 54 | 27 | 40.0% | 5.0% | 93.5% | 98.5 | DULL | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 4 | 6 | 5 | 0 | 36 | 3 | 4 | 8 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 15 | 6 | 24 | 10 | 19 | 9 | 0.0% | 0.0% | 94.4% | 94.4 | DULL | |
25 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 3 | 5 | 6 | 1.000 | 8 | 13 | 21 | 0 | 0 | 2 | 3 | 2 | 1 | 79 | 26 | 24 | 28 | 1 | 85 | 23 | 4 | 48 | 12 | 3 | 25.00% | 2 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 53 | 25 | 68 | 29 | 59 | 29 | 62.5% | 10.1% | 96.5% | 106.6 | LUCKY | |
26 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 0.667 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 81 | 25 | 19 | 37 | 0 | 90 | 25 | 4 | 55 | 14 | 3 | 21.43% | 2 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 57 | 29 | 67 | 27 | 54 | 27 | 33.3% | 6.2% | 95.6% | 101.7 | DULL | |
27 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 28 | 8 | 7 | 13 | 6 | 35 | 12 | 6 | 24 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 20 | 10 | 24 | 10 | 20 | 9 | 33.3% | 10.7% | 88.6% | 99.3 | FUN | |
28 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 2 | 2 | 42 | 7 | 10 | 25 | 4 | 54 | 20 | 6 | 29 | 11 | 2 | 18.18% | 3 | 1 | 66.67% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 40 | 21 | 43 | 21 | 40 | 20 | 80.0% | 14.3% | 96.3% | 110.6 | LUCKY | |
_Vs Division | 14 | 6 | 7 | 0 | 1 | 0 | 0 | 0 | 25 | 27 | -2 | 14 | 0.500 | 25 | 41 | 66 | 1 | 0 | 5 | 10 | 9 | 1 | 389 | 116 | 129 | 143 | 1 | 459 | 147 | 31 | 229 | 48 | 10 | 20.83% | 14 | 3 | 78.57% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 266 | 144 | 323 | 127 | 250 | 124 | 38.5% | 6.4% | 94.1% | 100.5 | DULL | |
_Vs Conference | 29 | 16 | 9 | 0 | 3 | 1 | 0 | 0 | 65 | 53 | 12 | 39 | 0.672 | 65 | 98 | 163 | 1 | 1 | 15 | 23 | 24 | 3 | 812 | 260 | 272 | 274 | 6 | 919 | 318 | 111 | 497 | 101 | 21 | 20.79% | 54 | 8 | 85.19% | 3 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 566 | 308 | 660 | 268 | 519 | 255 | 49.4% | 8.0% | 94.2% | 102.2 | DULL | |
_Since Last GM Reset | 47 | 22 | 15 | 0 | 3 | 2 | 2 | 3 | 101 | 92 | 9 | 59 | 0.628 | 101 | 156 | 257 | 3 | 2 | 24 | 33 | 39 | 6 | 1297 | 432 | 411 | 447 | 25 | 1523 | 491 | 179 | 781 | 154 | 30 | 19.48% | 89 | 18 | 79.78% | 3 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 920 | 501 | 1076 | 441 | 856 | 421 | 49.0% | 7.8% | 94.0% | 101.7 | DULL | |
Total | 47 | 22 | 15 | 0 | 3 | 2 | 2 | 3 | 101 | 92 | 9 | 59 | 0.628 | 101 | 156 | 257 | 3 | 2 | 24 | 33 | 39 | 6 | 1297 | 432 | 411 | 447 | 25 | 1523 | 491 | 179 | 781 | 154 | 30 | 19.48% | 89 | 18 | 79.78% | 3 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 920 | 501 | 1076 | 441 | 856 | 421 | 49.0% | 7.8% | 94.0% | 101.7 | DULL |
Puck Time | |
---|---|
Offensive Zone | 19 |
Neutral Zone | 18 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 999 |
Neutral Zone Start | 559 |
Defensive Zone Start | 1080 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1328 |
Faceoffs Lost | 1310 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.2 | 9.57 |
2nd Period | 17.9 | 20.31 |
3rd Period | 27.4 | 30.68 |
Overtime | 28.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.2 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.2 | 2.83 |
Even Strenght Goal | 65 |
---|---|
PP Goal | 30 |
PK Goal | 3 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 15 | 12 |
Lost | 7 | 8 |
Overtime Lost | 2 | 3 |
PP Attempt | 154 |
---|---|
PP Goal | 30 |
PK Attempt | 89 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 27.6 |
Shots Against | 32.4 |
Goals For | 2.1 |
Goals Against | 2.0 |
Hits | 16.6 |
Shots Blocked | 10.4 |
Pim | 3.8 |
Projected Total Cap Hit | 73,876,332$ |
Projected Cap Space | 7,623,668$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 43,690,350$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Rangers Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Stolarz ![]() | G | 25 | 750,000$ | 750,000$ | 750,000$ | ||||||
Brayden Point ![]() | C | 23 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | |||||
Brendan Gaunce ![]() | C | 25 | 700,000$ | 700,000$ | |||||||
Derick Brassard ![]() | C | 32 | 1,200,000$ | 1,200,000$ | |||||||
Dylan Larkin ![]() | C | 23 | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | ||||
Dylan McIlrath ![]() | D | 27 | 700,000$ | 700,000$ | 700,000$ | ||||||
Dylan Strome ![]() | C/LW | 22 | 863,333$ | 863,333$ | |||||||
Filip Hronek ![]() | D | 21 | 714,166$ | 714,166$ | 714,166$ | ||||||
Ivan Provorov ![]() | D | 22 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | ||
Jordan Oesterle ![]() | D | 27 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
Josh Morrissey ![]() | D | 24 | 3,150,000$ | 3,150,000$ | |||||||
Jujhar Khaira ![]() | LW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
Justin Bailey ![]() | RW | 24 | 700,000$ | 700,000$ | |||||||
Kevin Rooney ![]() | C | 26 | 700,000$ | 700,000$ | |||||||
Kyle Turris ![]() | C | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||
Matt Dumba ![]() | D | 25 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||
Matthew Tkachuk ![]() | LW/RW | 21 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | |||||
Michael Dipietro ![]() | G | 20 | 811,667$ | 811,667$ | 811,667$ | 811,667$ | |||||
Mikhail Sergachev ![]() | D | 21 | 894,166$ | 894,166$ | |||||||
Mikko Koskinen ![]() | G | 31 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | |||||
Mitchell Marner ![]() | RW | 22 | 10,893,000$ | 10,893,000$ | 10,893,000$ | 10,893,000$ | 10,893,000$ | 10,893,000$ | 10,893,000$ | ||
Nick Bjugstad ![]() | C | 27 | 4,100,000$ | 4,100,000$ | |||||||
Thomas Di Pauli ![]() | C | 25 | 700,000$ | 700,000$ | |||||||
Zach Bogosian ![]() | D | 29 | 1,300,000$ | 1,300,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 10 | 18 | 0 | 0 | 5 | 2 | 1 | 0 | 62 | 26 | 13 | 23 | 0 | 66 | 28 | 8 | 35 | 8 | 4 | 50.00% | 4 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 37 | 20 | 49 | 18 | 33 | 15 | 44.4% | 12.9% | 92.4% | 105.3 | LUCKY | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 2 | 1 | 5 | 0 | 53 | 17 | 14 | 22 | 0 | 73 | 24 | 6 | 23 | 7 | 2 | 28.57% | 3 | 1 | 66.67% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 36 | 20 | 48 | 18 | 35 | 18 | 85.7% | 15.1% | 97.3% | 112.4 | LUCKY | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 3 | 0 | 60 | 15 | 20 | 25 | 0 | 53 | 18 | 14 | 32 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 1 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 38 | 20 | 42 | 20 | 38 | 19 | 71.4% | 10.0% | 94.3% | 104.3 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 28 | 21 | 6 | 1 | 0 | 39 | 10 | 2 | 16 | 0 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 19 | 12 | 24 | 8 | 16 | 7 | 33.3% | 3.6% | 92.3% | 95.9 | DULL | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 53 | 11 | 25 | 17 | 0 | 61 | 25 | 9 | 35 | 6 | 1 | 16.67% | 3 | 1 | 66.67% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 35 | 19 | 46 | 19 | 37 | 17 | 33.3% | 5.7% | 91.8% | 97.5 | DULL | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 2 | 3 | 0 | 31 | 9 | 15 | 7 | 0 | 31 | 13 | 10 | 17 | 6 | 3 | 50.00% | 5 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 18 | 10 | 25 | 9 | 16 | 7 | 60.0% | 19.4% | 93.5% | 112.9 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 27 | 11 | 5 | 11 | 0 | 42 | 13 | 2 | 15 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 18 | 10 | 25 | 8 | 16 | 8 | 25.0% | 3.7% | 90.5% | 94.2 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 38 | 12 | 9 | 17 | 0 | 33 | 10 | 2 | 15 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 19 | 11 | 23 | 9 | 16 | 8 | 66.7% | 5.3% | 97.0% | 102.2 | DULL | |
9 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 5 | 9 | 0 | 1 | 0 | 1 | 2 | 1 | 58 | 18 | 24 | 15 | 1 | 51 | 23 | 12 | 35 | 3 | 1 | 33.33% | 6 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 42 | 24 | 42 | 19 | 36 | 16 | 75.0% | 6.9% | 98.0% | 104.9 | DULL | |
10 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 1 | 31 | 12 | 11 | 8 | 3 | 36 | 10 | 6 | 14 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 22 | 12 | 23 | 9 | 19 | 10 | 75.0% | 12.9% | 91.7% | 104.6 | LUCKY | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 0 | 2 | 1 | 0 | 62 | 10 | 29 | 23 | 0 | 76 | 22 | 8 | 33 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 40 | 24 | 47 | 16 | 32 | 15 | 14.3% | 4.8% | 90.8% | 95.6 | Unlucky | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 0 | 1 | 2 | 0 | 54 | 25 | 11 | 18 | 0 | 66 | 16 | 8 | 32 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 39 | 22 | 44 | 17 | 36 | 17 | 60.0% | 5.6% | 93.9% | 99.5 | DULL | |
13 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 0 | 1 | 32 | 7 | 13 | 11 | 1 | 60 | 24 | 14 | 25 | 4 | 0 | 0.00% | 7 | 1 | 85.71% | 1 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 34 | 15 | 48 | 20 | 38 | 18 | 40.0% | 6.3% | 93.3% | 99.6 | DULL | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 32 | 11 | 7 | 14 | 0 | 34 | 19 | 2 | 14 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 22 | 12 | 21 | 8 | 16 | 8 | 50.0% | 6.3% | 97.1% | 103.3 | DULL | |
15 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | -4 | 1 | 0.250 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 45 | 15 | 16 | 13 | 4 | 68 | 27 | 4 | 38 | 8 | 1 | 12.50% | 2 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 37 | 19 | 50 | 19 | 37 | 18 | 0.0% | 2.2% | 92.6% | 94.9 | DULL | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 28 | 13 | 9 | 6 | 0 | 29 | 7 | 10 | 15 | 2 | 1 | 50.00% | 6 | 1 | 83.33% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 20 | 11 | 20 | 9 | 18 | 9 | 100.0% | 10.7% | 96.6% | 107.3 | LUCKY | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 1 | 0 | 1 | 0 | 64 | 20 | 20 | 24 | 0 | 61 | 16 | 8 | 37 | 6 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 38 | 20 | 43 | 19 | 37 | 18 | 25.0% | 3.1% | 88.5% | 91.6 | Unlucky | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 31 | 12 | 7 | 12 | 0 | 34 | 7 | 2 | 21 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 22 | 13 | 21 | 8 | 16 | 8 | 66.7% | 9.7% | 97.1% | 106.7 | LUCKY | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 36 | 11 | 11 | 14 | 2 | 38 | 8 | 6 | 9 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 22 | 13 | 23 | 9 | 19 | 9 | 25.0% | 5.6% | 92.1% | 97.7 | DULL | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 55 | 22 | 20 | 13 | 0 | 71 | 20 | 2 | 29 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 39 | 22 | 46 | 16 | 33 | 17 | 50.0% | 5.5% | 95.8% | 101.2 | DULL | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 8 | 15 | 0 | 0 | 1 | 3 | 3 | 0 | 69 | 20 | 25 | 24 | 0 | 72 | 25 | 10 | 41 | 8 | 1 | 12.50% | 5 | 3 | 40.00% | 1 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 44 | 26 | 41 | 16 | 34 | 18 | 85.7% | 10.1% | 94.4% | 104.6 | LUCKY | |
22 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 23 | 7 | 9 | 7 | 0 | 36 | 10 | 0 | 24 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 21 | 12 | 21 | 9 | 19 | 8 | 33.3% | 4.3% | 94.4% | 98.8 | DULL | |
23 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 3 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 80 | 37 | 26 | 14 | 3 | 93 | 33 | 10 | 62 | 11 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 62 | 32 | 66 | 27 | 54 | 27 | 40.0% | 5.0% | 93.5% | 98.5 | DULL | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 4 | 6 | 5 | 0 | 36 | 3 | 4 | 8 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 15 | 6 | 24 | 10 | 19 | 9 | 0.0% | 0.0% | 94.4% | 94.4 | DULL | |
25 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 3 | 5 | 6 | 1.000 | 8 | 13 | 21 | 0 | 0 | 2 | 3 | 2 | 1 | 79 | 26 | 24 | 28 | 1 | 85 | 23 | 4 | 48 | 12 | 3 | 25.00% | 2 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 53 | 25 | 68 | 29 | 59 | 29 | 62.5% | 10.1% | 96.5% | 106.6 | LUCKY | |
26 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 0.667 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 81 | 25 | 19 | 37 | 0 | 90 | 25 | 4 | 55 | 14 | 3 | 21.43% | 2 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 57 | 29 | 67 | 27 | 54 | 27 | 33.3% | 6.2% | 95.6% | 101.7 | DULL | |
27 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 28 | 8 | 7 | 13 | 6 | 35 | 12 | 6 | 24 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 20 | 10 | 24 | 10 | 20 | 9 | 33.3% | 10.7% | 88.6% | 99.3 | FUN | |
28 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 2 | 2 | 42 | 7 | 10 | 25 | 4 | 54 | 20 | 6 | 29 | 11 | 2 | 18.18% | 3 | 1 | 66.67% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 40 | 21 | 43 | 21 | 40 | 20 | 80.0% | 14.3% | 96.3% | 110.6 | LUCKY | |
_Vs Division | 14 | 6 | 7 | 0 | 1 | 0 | 0 | 0 | 25 | 27 | -2 | 14 | 0.500 | 25 | 41 | 66 | 1 | 0 | 5 | 10 | 9 | 1 | 389 | 116 | 129 | 143 | 1 | 459 | 147 | 31 | 229 | 48 | 10 | 20.83% | 14 | 3 | 78.57% | 0 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 266 | 144 | 323 | 127 | 250 | 124 | 38.5% | 6.4% | 94.1% | 100.5 | DULL | |
_Vs Conference | 29 | 16 | 9 | 0 | 3 | 1 | 0 | 0 | 65 | 53 | 12 | 39 | 0.672 | 65 | 98 | 163 | 1 | 1 | 15 | 23 | 24 | 3 | 812 | 260 | 272 | 274 | 6 | 919 | 318 | 111 | 497 | 101 | 21 | 20.79% | 54 | 8 | 85.19% | 3 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 566 | 308 | 660 | 268 | 519 | 255 | 49.4% | 8.0% | 94.2% | 102.2 | DULL | |
_Since Last GM Reset | 47 | 22 | 15 | 0 | 3 | 2 | 2 | 3 | 101 | 92 | 9 | 59 | 0.628 | 101 | 156 | 257 | 3 | 2 | 24 | 33 | 39 | 6 | 1297 | 432 | 411 | 447 | 25 | 1523 | 491 | 179 | 781 | 154 | 30 | 19.48% | 89 | 18 | 79.78% | 3 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 920 | 501 | 1076 | 441 | 856 | 421 | 49.0% | 7.8% | 94.0% | 101.7 | DULL | |
Total | 47 | 22 | 15 | 0 | 3 | 2 | 2 | 3 | 101 | 92 | 9 | 59 | 0.628 | 101 | 156 | 257 | 3 | 2 | 24 | 33 | 39 | 6 | 1297 | 432 | 411 | 447 | 25 | 1523 | 491 | 179 | 781 | 154 | 30 | 19.48% | 89 | 18 | 79.78% | 3 | 487 | 999 | 48.75% | 552 | 1080 | 51.11% | 289 | 559 | 51.70% | 920 | 501 | 1076 | 441 | 856 | 421 | 49.0% | 7.8% | 94.0% | 101.7 | DULL |
Puck Time | |
---|---|
Offensive Zone | 19 |
Neutral Zone | 18 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 999 |
Neutral Zone Start | 559 |
Defensive Zone Start | 1080 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1328 |
Faceoffs Lost | 1310 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.2 | 9.57 |
2nd Period | 17.9 | 20.31 |
3rd Period | 27.4 | 30.68 |
Overtime | 28.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.2 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.2 | 2.83 |
Even Strenght Goal | 65 |
---|---|
PP Goal | 30 |
PK Goal | 3 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 15 | 12 |
Lost | 7 | 8 |
Overtime Lost | 2 | 3 |
PP Attempt | 154 |
---|---|
PP Goal | 30 |
PK Attempt | 89 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 27.6 |
Shots Against | 32.4 |
Goals For | 2.1 |
Goals Against | 2.0 |
Hits | 16.6 |
Shots Blocked | 10.4 |
Pim | 3.8 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-25 | @ | Jets1,Rangers3 | RECAP | ||
2020-10-27 | @ | Rangers0,Senators3 | RECAP | ||
2020-11-03 | @ | Oilers4,Rangers1 | RECAP | ||
2020-11-08 | @ | Rangers2,Devils1 (OT) | RECAP | ||
2020-11-09 | @ | Rangers1,Capitals3 | RECAP | ||
2020-11-11 | @ | Canucks0,Rangers2 | RECAP | ||
2020-11-13 | @ | Coyotes3,Rangers1 | RECAP | ||
2020-11-15 | @ | Sabres1,Rangers3 | RECAP | ||
2020-11-18 | @ | Bruins3,Rangers5 | RECAP | ||
2020-11-20 | @ | Lightning0,Rangers1 (OT) | RECAP | ||
2020-11-24 | @ | Rangers1,Predators2 (SO) | RECAP | ||
2020-11-26 | @ | Senators2,Rangers1 (OT) | RECAP | ||
2020-11-28 | @ | Red Wings2,Rangers6 | RECAP | ||
2020-11-29 | @ | Rangers2,Hurricanes1 | RECAP | ||
2020-12-02 | @ | Panthers2,Rangers4 | RECAP | ||
2020-12-04 | @ | Penguins1,Rangers2 | RECAP | ||
2020-12-06 | @ | Rangers3,Lightning1 | RECAP | ||
2020-12-08 | @ | Rangers3,Panthers2 | RECAP | ||
2020-12-12 | @ | Capitals4,Rangers2 | RECAP | ||
2020-12-14 | @ | Rangers3,Senators1 | RECAP | ||
2020-12-15 | @ | Rangers3,Canadiens1 | RECAP | ||
2020-12-17 | @ | Wild2,Rangers1 (OT) | RECAP | ||
2020-12-19 | @ | Hurricanes1,Rangers2 | RECAP | ||
2020-12-21 | @ | Rangers3,Bruins2 | RECAP | ||
2020-12-22 | @ | Rangers4,Devils1 | RECAP | ||
2020-12-24 | @ | Golden Knights1,Rangers4 | RECAP | ||
2020-12-27 | @ | Rangers2,Blue Jackets1 | RECAP | ||
2020-12-28 | @ | Canadiens2,Rangers3 | RECAP | ||
2020-12-30 | @ | Rangers2,Golden Knights1 (SO) | RECAP | ||
2021-01-01 | @ | Rangers0,Kings2 | RECAP | ||
2021-01-03 | @ | Rangers2,Sharks3 (SO) | RECAP | ||
2021-01-05 | @ | Rangers5,Ducks1 | RECAP | ||
2021-01-07 | @ | Predators3,Rangers0 | RECAP | ||
2021-01-11 | @ | Maple Leafs1,Rangers2 (OT) | RECAP | ||
2021-01-13 | @ | Ducks1,Rangers3 | RECAP | ||
2021-01-14 | @ | Rangers1,Flyers4 | RECAP | ||
2021-01-18 | @ | Hurricanes2,Rangers1 | RECAP | ||
2021-01-19 | @ | Rangers0,Maple Leafs3 | RECAP | ||
2021-01-22 | @ | Rangers1,Oilers3 | RECAP | ||
2021-01-24 | @ | Rangers3,Flames4 (SO) | RECAP | ||
2021-01-26 | @ | Rangers1,Canucks4 | RECAP | ||
2021-01-29 | @ | Avalanche3,Rangers4 (SO) | RECAP | ||
2021-01-31 | @ | Devils1,Rangers2 | RECAP | ||
2021-02-02 | @ | Rangers2,Blues1 | RECAP | ||
2021-02-04 | @ | Islanders2,Rangers1 | RECAP | ||
2021-02-07 | @ | Rangers2,Islanders3 | RECAP | ||
2021-02-10 | @ | Blue Jackets2,Rangers1 | RECAP | ||
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2021-04-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
73,876,332$ | 0$ | 73,876,332$ | 7,623,668$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Madison Square Garden | |
City | New York | ||
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 | 136910 | 113129 | 45285 | 90568 | 22707 |
Attendance PCT | 95.08% | 94.27% | 94.34% | 94.34% | 94.61% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
17 | 17025 - 94.58% | 613,473$ | 14,723,351$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
73,876,332$ | 73,876,332$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
43,690,350$ | 73,876,332$ | 43,690,350$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
10,429,040$ | 76 | 397,185$ | 30,186,060$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
30,186,060$ | 73,876,332$ | -283,415,173$ | -303,172,193$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo ny 2021 | |||||
2 ballo ny 2021 | |||||
Austin Wuthrich | |||||
Brandon Baddock | |||||
Brendan Collier | |||||
Brett McKenzie | |||||
Brett Pollock | |||||
Bryce Brodzinski | 2019 | 203 | |||
Cole Candella | |||||
Dion Phaneuf | Link | ||||
Erik Karlsson | |||||
Gavin Hain | |||||
Hardy Haman Aktell | |||||
Jack Dougherty | |||||
Jan Kostalek | |||||
John Fusco | 2020 | 191 | |||
Justus Annunen | |||||
Keean Washkurak | 2019 | 161 | |||
Kevin Elgestal | |||||
Kody Clark | |||||
Kyle Olson | |||||
Leo Loof | 2020 | 98 | |||
Marcus Kallionkieli | 2019 | 102 | |||
Matej Tomek | |||||
Matt Villata | |||||
Matthew Strome | |||||
Niklas Nordgren | |||||
Patrick Shea | |||||
Reece Newkirk | 2019 | 134 | |||
Riley Suter | |||||
Ryan Shea | |||||
Stuart Skinner | |||||
Tyler Angle | 2019 | 210 | |||
Tyler Vesel | |||||
William Villeneuve | 2020 | 129 |
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