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New York Rangers 32-16-6, 70pts · 2nd in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 14 | LW | 99.00 | 72 | 79 | 86 | 74 | 81 | 86 | 90 | 76 | 91 | 80 | 77 | 75 | 73 | 89 | 94 | 30 | 75 | 0 | 35 | 9,500,000$/1yrs | |||
![]() | 10 | RW | 100.00 | 63 | 34 | 95 | 67 | 71 | 82 | 73 | 62 | 58 | 60 | 57 | 76 | 61 | 74 | 70 | 39 | 75 | 0 | 31 | 1,000,000$/1yrs | |||
![]() | 93 | C/LW | 99.00 | 66 | 38 | 86 | 82 | 76 | 92 | 90 | 80 | 76 | 87 | 78 | 82 | 79 | 82 | 74 | 71 | 75 | 0 | 31 | 5,125,000$/5yrs | |||
![]() | 51 | C | 99.25 | 62 | 35 | 89 | 79 | 77 | 87 | 90 | 76 | 78 | 73 | 79 | 71 | 77 | 63 | 73 | 81 | 75 | 0 | 21 | 894,167$/1yrs | |||
![]() | 67 | C/LW/RW | 100.00 | 75 | 35 | 92 | 76 | 78 | 88 | 89 | 74 | 57 | 75 | 75 | 64 | 76 | 79 | 73 | 61 | 75 | 0 | 31 | 5,500,000$/4yrs | |||
![]() | 18 | LW/RW | 100.00 | 68 | 35 | 93 | 75 | 76 | 87 | 89 | 74 | 56 | 75 | 73 | 76 | 72 | 83 | 77 | 39 | 75 | 0 | 33 | 5,000,000$/1yrs | |||
![]() | 29 | C/LW | 100.00 | 63 | 38 | 90 | 77 | 88 | 89 | 90 | 79 | 76 | 78 | 82 | 67 | 79 | 83 | 78 | 46 | 75 | 0 | 33 | 6,000,000$/1yrs | |||
![]() | 23 | LW/RW | 100.00 | 91 | 76 | 68 | 66 | 83 | 80 | 90 | 64 | 60 | 63 | 62 | 81 | 58 | 77 | 75 | 26 | 75 | 0 | 33 | 2,375,000$/1yrs | |||
![]() | 88 | C/LW/RW | 100.00 | 59 | 34 | 89 | 76 | 72 | 86 | 89 | 75 | 56 | 71 | 73 | 65 | 76 | 62 | 68 | 77 | 75 | 0 | 23 | 855,833$/1yrs | |||
![]() | 20 | C/LW | 100.00 | 73 | 50 | 88 | 72 | 89 | 87 | 90 | 71 | 84 | 69 | 73 | 77 | 68 | 72 | 74 | 50 | 75 | 0 | 29 | 3,150,000$/5yrs | |||
![]() | 24 | C/RW | 99.25 | 71 | 33 | 95 | 79 | 65 | 88 | 90 | 76 | 74 | 78 | 75 | 77 | 79 | 63 | 69 | 85 | 75 | 0 | 23 | 7,420,000$/8yrs | |||
![]() | 27 | C/RW | 100.00 | 63 | 35 | 94 | 74 | 77 | 87 | 86 | 73 | 75 | 77 | 65 | 75 | 68 | 70 | 72 | 69 | 75 | 0 | 28 | 2,800,000$/1yrs | |||
![]() | 6 | D | 99.25 | 71 | 58 | 81 | 64 | 94 | 88 | 86 | 62 | 30 | 70 | 61 | 77 | 53 | 67 | 69 | 56 | 75 | 0 | 27 | 775,000$/1yrs | |||
![]() | 21 | D | 99.25 | 76 | 40 | 84 | 65 | 85 | 89 | 82 | 61 | 30 | 72 | 53 | 83 | 48 | 74 | 73 | 43 | 75 | 0 | 33 | 3,400,000$/2yrs | |||
![]() | 28 | D | 99.00 | 69 | 36 | 94 | 64 | 82 | 90 | 88 | 62 | 30 | 73 | 61 | 75 | 53 | 77 | 70 | 66 | 75 | 0 | 30 | 3,000,000$/1yrs | |||
![]() | 64 | D | 99.00 | 82 | 47 | 84 | 68 | 96 | 87 | 86 | 65 | 30 | 69 | 59 | 82 | 50 | 64 | 67 | 74 | 75 | 0 | 23 | 4,600,000$/6yrs | |||
![]() | 72 | D | 99.25 | 70 | 36 | 80 | 78 | 81 | 95 | 82 | 76 | 30 | 81 | 73 | 64 | 62 | 70 | 73 | 71 | 75 | 0 | 28 | 8,000,000$/4yrs | |||
![]() | 44 | D | 99.00 | 71 | 44 | 72 | 77 | 74 | 94 | 86 | 78 | 30 | 86 | 74 | 66 | 59 | 71 | 69 | 58 | 75 | 0 | 28 | 7,350,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 56 | C/RW | 100.00 | 79 | 43 | 62 | 64 | 75 | 83 | 76 | 63 | 70 | 66 | 65 | 62 | 64 | 67 | 68 | 59 | 75 | 0 | 25 | 1,000,000$/2yrs | |||
![]() | 71 | RW | 100.00 | 84 | 81 | 66 | 64 | 94 | 76 | 78 | 65 | 63 | 61 | 66 | 64 | 62 | 69 | 70 | 36 | 75 | 0 | 28 | 775,000$/2yrs | |||
![]() | 91 | D | 100.00 | 76 | 39 | 91 | 60 | 87 | 80 | 85 | 58 | 30 | 60 | 53 | 66 | 47 | 72 | 74 | 34 | 75 | 0 | 32 | 775,000$/2yrs | |||
![]() | 5 | D | 100.00 | 61 | 35 | 79 | 69 | 75 | 87 | 62 | 64 | 30 | 63 | 57 | 72 | 50 | 66 | 67 | 56 | 75 | 0 | 27 | 775,000$/1yrs | |||
TEAM AVERAGE | 99.55 | 71 | 45 | 84 | 71 | 81 | 87 | 85 | 70 | 55 | 72 | 68 | 73 | 64 | 72 | 73 | 56 | 75 | 0 |
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 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 31 | 98.00 | 86 | 84 | 79 | 84 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 70 | 81 | 57 | 75 | 0 | 28 | 1,000,000$/1yrs |
![]() | 35 | 100.00 | 87 | 88 | 83 | 81 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 68 | 81 | 53 | 75 | 0 | 28 | 1,200,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 87 | 86 | 81 | 83 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 69 | 81 | 55 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter DeBoer | 83 | 92 | 95 | 90 | 84 | 78 | 64 | CAN | 56 | 2 | 4,250,000$ |
General Manager | Mathieu Pelletier |
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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 | Ryan Nugent-Hopkins | 93 | C/LW | 51 | 21 | 41 | 62 | 20 | 22 | 0 | 57 | 204 | 46 | 161 | 10.29% | 25 | 21.81 | 1 | 9 | 10 | 120 | 0 | 1 | 1 | 200 | 2 | 2 | 51.55% | 1548 | 0 | 0 | 1 | 1 | 1.11 | 1 | 2 | ||
2 | Seth Jarvis | 24 | C/RW | 52 | 20 | 36 | 56 | 18 | 14 | 0 | 60 | 193 | 54 | 128 | 10.36% | 12 | 18.15 | 4 | 7 | 11 | 142 | 0 | 0 | 0 | 0 | 4 | 1 | 53.85% | 91 | 0 | 0 | 0 | 0 | 1.19 | 2 | 2 | ||
3 | Brock Nelson | 29 | C/LW | 54 | 23 | 28 | 51 | 13 | 12 | 0 | 34 | 170 | 33 | 117 | 13.53% | 6 | 13.74 | 6 | 9 | 15 | 165 | 0 | 0 | 0 | 2 | 3 | 1 | 51.34% | 972 | 0 | 0 | 0 | 0 | 1.37 | 0 | 2 | ||
4 | Jamie Benn | 14 | LW | 54 | 17 | 23 | 40 | 19 | 31 | 5 | 75 | 138 | 40 | 106 | 12.32% | 9 | 16.50 | 0 | 1 | 1 | 29 | 0 | 0 | 0 | 41 | 3 | 0 | 47.50% | 80 | 0 | 0 | 1 | 0 | 0.90 | 0 | 1 | ||
5 | Thomas Chabot | 72 | D | 46 | 9 | 31 | 40 | 18 | 30 | 0 | 58 | 76 | 18 | 38 | 11.84% | 46 | 20.28 | 2 | 4 | 6 | 146 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | ||
6 | Jack Roslovic | 27 | C/RW | 52 | 14 | 22 | 36 | 2 | 14 | 0 | 31 | 121 | 36 | 85 | 11.57% | 11 | 15.07 | 3 | 5 | 8 | 87 | 0 | 0 | 0 | 3 | 2 | 2 | 56.44% | 101 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | ||
7 | Wyatt Johnston | 51 | C | 54 | 15 | 20 | 35 | -4 | 10 | 0 | 41 | 147 | 38 | 118 | 10.20% | 6 | 16.28 | 6 | 7 | 13 | 147 | 0 | 0 | 0 | 5 | 2 | 2 | 48.88% | 1164 | 0 | 0 | 0 | 1 | 0.80 | 0 | 1 | ||
8 | Rickard Rakell | 67 | C/LW/RW | 52 | 17 | 18 | 35 | -7 | 32 | 0 | 99 | 127 | 16 | 92 | 13.39% | 11 | 16.31 | 2 | 9 | 11 | 138 | 0 | 0 | 0 | 2 | 7 | 3 | 34.85% | 66 | 0 | 0 | 0 | 0 | 0.83 | 1 | 1 | ||
9 | Vince Dunn | 44 | D | 51 | 7 | 27 | 34 | -4 | 45 | 5 | 71 | 68 | 34 | 46 | 10.29% | 55 | 23.11 | 2 | 4 | 6 | 149 | 0 | 0 | 0 | 35 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
10 | Alex Vlasic | 64 | D | 52 | 8 | 25 | 33 | 1 | 79 | 5 | 84 | 49 | 28 | 56 | 16.33% | 70 | 23.16 | 4 | 5 | 9 | 137 | 0 | 2 | 2 | 134 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
11 | Justin Holl | 21 | D | 54 | 9 | 20 | 29 | -2 | 30 | 0 | 92 | 45 | 11 | 36 | 20.00% | 97 | 19.25 | 6 | 5 | 11 | 117 | 0 | 0 | 0 | 174 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
12 | Reilly Smith | 18 | LW/RW | 51 | 11 | 15 | 26 | 5 | 18 | 0 | 41 | 110 | 23 | 79 | 10.00% | 7 | 11.85 | 1 | 2 | 3 | 47 | 0 | 0 | 0 | 0 | 0 | 0 | 61.76% | 34 | 0 | 0 | 0 | 0 | 0.86 | 0 | 1 | ||
13 | Johnathan Kovacevic | 6 | D | 54 | 3 | 21 | 24 | 33 | 32 | 0 | 66 | 45 | 13 | 24 | 6.67% | 80 | 18.20 | 0 | 0 | 0 | 10 | 0 | 2 | 2 | 153 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
14 | JJ Peterka | 88 | C/LW/RW | 54 | 12 | 11 | 23 | 15 | 10 | 0 | 22 | 105 | 30 | 54 | 11.43% | 3 | 11.47 | 4 | 3 | 7 | 49 | 0 | 0 | 0 | 0 | 3 | 0 | 44.74% | 38 | 0 | 0 | 0 | 0 | 0.74 | 0 | 1 | ||
15 | Olli Maatta | 28 | D | 54 | 4 | 16 | 20 | 8 | 22 | 0 | 35 | 32 | 10 | 32 | 12.50% | 71 | 17.34 | 1 | 4 | 5 | 58 | 0 | 0 | 0 | 155 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
16 | Nicholas Paul | 20 | C/LW | 54 | 7 | 9 | 16 | -3 | 10 | 0 | 10 | 78 | 30 | 73 | 8.97% | 11 | 10.90 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 129 | 1 | 1 | 53.56% | 730 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
17 | Garnet Hathaway | 23 | LW/RW | 54 | 6 | 5 | 11 | -4 | 40 | 0 | 86 | 70 | 19 | 53 | 8.57% | 16 | 11.60 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 182 | 1 | 0 | 51.28% | 39 | 0 | 0 | 1 | 0 | 0.35 | 0 | 0 | ||
18 | Connor Brown | 10 | RW | 53 | 4 | 6 | 10 | -1 | 2 | 0 | 9 | 45 | 15 | 35 | 8.89% | 4 | 11.36 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 127 | 0 | 0 | 52.94% | 51 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
19 | Martin Pospisil | 56 | C/RW | 8 | 1 | 0 | 1 | 2 | 2 | 0 | 9 | 5 | 1 | 7 | 20.00% | 0 | 10.62 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 80.00% | 5 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
20 | Zack MacEwen | 71 | RW | 2 | 1 | 0 | 1 | 1 | 4 | 0 | 3 | 4 | 1 | 3 | 25.00% | 0 | 9.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 1.09 | 0 | 0 | ||
21 | Kevin Gravel | 91 | D | 12 | 0 | 1 | 1 | 1 | 8 | 0 | 9 | 7 | 1 | 2 | 0.00% | 9 | 16.57 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | ||
22 | Guillaume Brisebois | 5 | D | 2 | 0 | 0 | 0 | -2 | 2 | 0 | 3 | 0 | 1 | 1 | 0.00% | 2 | 17.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 970 | 209 | 375 | 584 | 129 | 469 | 15 | 995 | 1839 | 498 | 1346 | 11.36% | 551 | 16.34 | 42 | 74 | 116 | 1570 | 3 | 5 | 8 | 1412 | 31 | 15 | 51.10% | 4922 | 0 | 0 | 3 | 2 | 0.74 | 4 | 11 |
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 | Joey Daccord | Rangers | 48 | 27 | 13 | 4 | 0.897 | 3.54 | 2593 | 10 | 1 | 153 | 1485 | 0 | 1 | 0 | 0.000 | 0 | 46 | 7 | 2 | 4 | 0 |
2 | Kaapo Kahkonen | Rangers | 15 | 5 | 3 | 2 | 0.898 | 2.94 | 673 | 0 | 0 | 33 | 322 | 0 | 1 | 2 | 0.636 | 11 | 8 | 46 | 0 | 0 | 0 |
Team Total or Average | 63 | 32 | 16 | 6 | 0.897 | 3.42 | 3267 | 10 | 1 | 186 | 1807 | 0 | 2 | 2 | 0.636 | 11 | 54 | 53 | 2 | 4 | 0 |
Projected Total Cap Hit | 83,033,275$ |
Projected Cap Space | 4,966,725$ |
Retains And Buyout Cap Hit | 1,750,000$ |
Salary Cap To Date | 52,320,870$ |
Players In Salary Cap | 27 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Vlasic | D | 23 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | RFA | |
Brock Nelson ![]() | C/LW | 33 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Connor Brown | RW | 31 | 1,000,000$ | 1,000,000$ | |||||||
Garnet Hathaway | LW/RW | 33 | 2,375,000$ | 2,375,000$ | UFA | ||||||
Guillaume Brisebois | D | 27 | 775,000$ | 775,000$ | RFA | ||||||
JJ Peterka ![]() | C/LW/RW | 23 | 855,833$ | 855,833$ | |||||||
Jack Roslovic | C/RW | 28 | 2,800,000$ | 2,800,000$ | RFA | ||||||
Jamie Benn ![]() | LW | 35 | 9,500,000$ | 9,500,000$ | UFA | ||||||
Joey Daccord | D/G | 28 | 1,200,000$ | 1,200,000$ | |||||||
Johnathan Kovacevic | D | 27 | 775,000$ | 775,000$ | RFA | ||||||
Justin Holl ![]() | D | 33 | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | |||||
Kaapo Kahkonen | D/G | 28 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Kevin Gravel ![]() | D | 32 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Martin Pospisil | C/RW/G | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Nicholas Paul ![]() | C/LW | 29 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | ||
Olli Maatta | D | 30 | 3,000,000$ | 3,000,000$ | |||||||
Reilly Smith ![]() | LW/RW | 33 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Rickard Rakell ![]() | C/LW/RW | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Ryan Nugent-Hopkins ![]() | C/LW | 31 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA | ||
Seth Jarvis ![]() | C/RW | 23 | 7,420,000$ | 7,420,000$ | 7,420,000$ | 7,420,000$ | 7,420,000$ | 7,420,000$ | 7,420,000$ | 7,420,000$ | 7,420,000$ |
Thomas Chabot | D | 28 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | ||||
Vince Dunn ![]() | D | 28 | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | |||||
Wyatt Johnston ![]() | C | 21 | 894,167$ | 894,167$ | |||||||
Zack MacEwen | RW | 28 | 775,000$ | 775,000$ | 775,000$ | RFA |
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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 |
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1 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 14 | -2 | 3 | 0.500 | 12 | 20 | 32 | 0 | 0 | 7 | 3 | 2 | 0 | 90 | 41 | 27 | 22 | 0 | 127 | 36 | 26 | 63 | 7 | 0 | 0.00% | 12 | 4 | 66.67% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 61 | 41 | 76 | 23 | 41 | 20 | 54.5% | 13.3% | 89.0% | 102.3 | FUN | |
2 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 10 | 15 | 1 | 0 | 2 | 1 | 2 | 0 | 51 | 18 | 17 | 13 | 3 | 76 | 17 | 16 | 36 | 5 | 2 | 40.00% | 7 | 1 | 85.71% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 47 | 32 | 49 | 15 | 27 | 13 | 30.0% | 9.8% | 89.5% | 99.3 | FUN | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 1 | 0 | 0 | 37 | 11 | 11 | 15 | 0 | 33 | 9 | 4 | 21 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 22 | 14 | 22 | 7 | 14 | 7 | 16.7% | 5.4% | 84.8% | 90.3 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 0 | 3 | 0 | 43 | 14 | 11 | 18 | 0 | 34 | 5 | 8 | 20 | 6 | 3 | 50.00% | 4 | 3 | 25.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 26 | 18 | 22 | 6 | 11 | 5 | 100.0% | 11.6% | 91.2% | 102.8 | LUCKY | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 3 | 0 | 79 | 26 | 25 | 28 | 0 | 70 | 16 | 16 | 54 | 6 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 49 | 34 | 45 | 14 | 24 | 12 | 50.0% | 8.9% | 88.6% | 97.4 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 30 | 7 | 10 | 13 | 0 | 30 | 12 | 12 | 20 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 20 | 13 | 27 | 6 | 12 | 6 | 66.7% | 10.0% | 93.3% | 103.3 | LUCKY | |
7 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 8 | 13 | -5 | 1 | 0.167 | 8 | 13 | 21 | 0 | 0 | 3 | 3 | 2 | 0 | 92 | 30 | 35 | 27 | 0 | 112 | 39 | 32 | 54 | 11 | 2 | 18.18% | 16 | 2 | 87.50% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 65 | 43 | 78 | 22 | 37 | 18 | 35.3% | 8.7% | 88.4% | 97.1 | Unlucky | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 4 | 1.000 | 13 | 22 | 35 | 0 | 0 | 5 | 4 | 4 | 0 | 78 | 30 | 22 | 26 | 0 | 77 | 27 | 20 | 34 | 12 | 2 | 16.67% | 9 | 1 | 88.89% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 47 | 33 | 48 | 13 | 23 | 12 | 73.3% | 16.7% | 93.5% | 110.2 | LUCKY | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 4 | 2 | 1 | 0 | 89 | 46 | 17 | 26 | 0 | 63 | 16 | 16 | 22 | 8 | 1 | 12.50% | 6 | 2 | 66.67% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 51 | 36 | 44 | 14 | 23 | 12 | 60.0% | 7.9% | 90.5% | 98.3 | Unlucky | |
10 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 35 | 12 | 8 | 14 | 1 | 27 | 11 | 4 | 18 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 24 | 18 | 24 | 6 | 12 | 6 | 50.0% | 8.6% | 85.2% | 93.8 | Unlucky | |
11 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 1 | 2 | 1 | 45 | 21 | 10 | 13 | 1 | 32 | 6 | 4 | 21 | 9 | 4 | 44.44% | 2 | 0 | 100.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 27 | 19 | 20 | 7 | 13 | 7 | 28.6% | 13.3% | 84.4% | 97.7 | FUN | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 5 | 1 | 1 | 0 | 71 | 24 | 21 | 26 | 0 | 53 | 18 | 16 | 31 | 7 | 2 | 28.57% | 8 | 2 | 75.00% | 1 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 45 | 30 | 48 | 15 | 26 | 13 | 62.5% | 9.9% | 90.6% | 100.4 | FUN | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 3 | 0 | 3 | 0 | 54 | 20 | 15 | 19 | 0 | 76 | 22 | 10 | 33 | 4 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 41 | 27 | 51 | 16 | 26 | 12 | 50.0% | 11.1% | 89.5% | 100.6 | FUN | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 2 | 1.000 | 5 | 9 | 14 | 0 | 1 | 0 | 3 | 2 | 0 | 30 | 11 | 11 | 8 | 0 | 28 | 3 | 6 | 10 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 22 | 15 | 24 | 8 | 13 | 6 | 100.0% | 16.7% | 100.0% | 116.7 | LUCKY | |
15 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 2 | 0.333 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 2 | 2 | 98 | 41 | 21 | 33 | 6 | 112 | 24 | 35 | 50 | 11 | 0 | 0.00% | 14 | 3 | 78.57% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 75 | 53 | 70 | 20 | 38 | 19 | 50.0% | 6.1% | 92.0% | 98.1 | DULL | |
16 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 1 | 3 | 0.750 | 9 | 18 | 27 | 0 | 0 | 5 | 2 | 2 | 0 | 65 | 30 | 12 | 23 | 0 | 78 | 24 | 16 | 29 | 8 | 4 | 50.00% | 8 | 2 | 75.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 41 | 27 | 54 | 15 | 25 | 11 | 45.5% | 13.8% | 89.7% | 103.6 | FUN | |
17 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 4 | 0.667 | 10 | 20 | 30 | 0 | 0 | 5 | 1 | 4 | 0 | 92 | 30 | 26 | 36 | 0 | 92 | 27 | 32 | 51 | 7 | 3 | 42.86% | 16 | 3 | 81.25% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 66 | 45 | 73 | 21 | 40 | 18 | 50.0% | 10.9% | 89.1% | 100.0 | FUN | |
18 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 1 | 1 | 36 | 8 | 17 | 10 | 1 | 29 | 14 | 4 | 19 | 6 | 1 | 16.67% | 2 | 1 | 50.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 24 | 17 | 22 | 6 | 13 | 7 | 55.6% | 16.7% | 82.8% | 99.4 | FUN | |
19 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 4 | 0.667 | 12 | 23 | 35 | 0 | 0 | 4 | 5 | 3 | 0 | 96 | 34 | 41 | 21 | 0 | 60 | 23 | 18 | 63 | 14 | 3 | 21.43% | 8 | 2 | 75.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 72 | 48 | 68 | 22 | 39 | 20 | 64.3% | 12.5% | 88.3% | 100.8 | FUN | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 4 | 1 | 0 | 30 | 10 | 10 | 10 | 0 | 24 | 14 | 8 | 13 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 18 | 12 | 28 | 7 | 12 | 5 | 71.4% | 16.7% | 87.5% | 104.2 | FUN | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 31 | 16 | 6 | 9 | 0 | 38 | 12 | 14 | 15 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 22 | 15 | 26 | 6 | 11 | 5 | 75.0% | 12.9% | 94.7% | 107.6 | LUCKY | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 32 | 7 | 10 | 15 | 0 | 27 | 13 | 8 | 8 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 24 | 16 | 21 | 8 | 13 | 6 | 66.7% | 6.3% | 96.3% | 102.5 | DULL | |
23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 3 | 5 | 1 | 0 | 79 | 30 | 25 | 24 | 0 | 79 | 24 | 14 | 45 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 45 | 30 | 48 | 14 | 26 | 12 | 47.1% | 11.4% | 87.3% | 98.7 | FUN | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 2 | 2 | 4 | 0 | 60 | 25 | 15 | 20 | 0 | 72 | 32 | 20 | 31 | 10 | 4 | 40.00% | 10 | 3 | 70.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 44 | 29 | 49 | 16 | 26 | 12 | 44.4% | 13.3% | 88.9% | 102.2 | FUN | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 15 | 23 | 1 | 0 | 4 | 2 | 2 | 0 | 67 | 20 | 17 | 30 | 0 | 68 | 20 | 22 | 32 | 8 | 2 | 25.00% | 10 | 2 | 80.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 46 | 31 | 48 | 14 | 24 | 12 | 50.0% | 11.9% | 88.2% | 100.2 | FUN | |
26 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 16 | 9 | 7 | 6 | 1.000 | 16 | 31 | 47 | 0 | 0 | 7 | 4 | 4 | 1 | 95 | 24 | 31 | 39 | 1 | 104 | 28 | 40 | 71 | 7 | 1 | 14.29% | 18 | 3 | 83.33% | 1 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 65 | 43 | 75 | 22 | 39 | 19 | 71.4% | 16.8% | 91.3% | 108.2 | LUCKY | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 27 | 14 | 9 | 4 | 0 | 30 | 12 | 12 | 15 | 0 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 21 | 14 | 24 | 7 | 13 | 6 | 40.0% | 7.4% | 86.7% | 94.1 | Unlucky | |
28 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 2 | 52 | 17 | 13 | 18 | 12 | 33 | 18 | 6 | 22 | 3 | 2 | 66.67% | 3 | 1 | 66.67% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 27 | 19 | 23 | 7 | 14 | 7 | 37.5% | 9.6% | 81.8% | 91.4 | FUN | |
29 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 2 | 2 | 4 | 1 | 82 | 17 | 33 | 29 | 3 | 64 | 11 | 14 | 50 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 46 | 31 | 48 | 15 | 28 | 13 | 61.5% | 11.0% | 90.6% | 101.6 | FUN | |
30 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 2 | 4 | 3 | 1 | 74 | 24 | 24 | 22 | 4 | 61 | 18 | 26 | 44 | 5 | 1 | 20.00% | 5 | 2 | 60.00% | 1 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 48 | 35 | 49 | 14 | 24 | 11 | 64.3% | 13.5% | 88.5% | 102.0 | FUN | |
_Vs Division | 15 | 6 | 7 | 0 | 0 | 1 | 1 | 0 | 44 | 49 | -5 | 15 | 0.500 | 44 | 77 | 121 | 0 | 0 | 18 | 11 | 14 | 2 | 513 | 196 | 140 | 174 | 6 | 514 | 147 | 153 | 254 | 51 | 7 | 13.73% | 70 | 12 | 82.86% | 0 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 356 | 246 | 361 | 109 | 189 | 93 | 50.0% | 8.6% | 90.5% | 99.0 | Unlucky | |
_Vs Conference | 32 | 14 | 14 | 0 | 1 | 2 | 1 | 0 | 111 | 114 | -3 | 34 | 0.531 | 111 | 196 | 307 | 1 | 0 | 48 | 32 | 29 | 3 | 1058 | 390 | 316 | 348 | 7 | 1091 | 321 | 299 | 597 | 99 | 15 | 15.15% | 136 | 27 | 80.15% | 1 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 734 | 500 | 777 | 239 | 416 | 205 | 52.5% | 10.5% | 89.6% | 100.0 | FUN | |
_Since Last GM Reset | 54 | 26 | 16 | 0 | 5 | 5 | 1 | 1 | 210 | 189 | 21 | 70 | 0.648 | 210 | 375 | 585 | 2 | 1 | 79 | 62 | 63 | 9 | 1840 | 658 | 550 | 611 | 32 | 1809 | 551 | 479 | 995 | 190 | 42 | 22.11% | 214 | 47 | 78.04% | 3 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 1248 | 853 | 1320 | 403 | 699 | 346 | 54.2% | 11.4% | 89.6% | 101.0 | FUN | |
Total | 54 | 26 | 16 | 0 | 5 | 5 | 1 | 1 | 210 | 189 | 21 | 70 | 0.648 | 210 | 375 | 585 | 2 | 1 | 79 | 62 | 63 | 9 | 1840 | 658 | 550 | 611 | 32 | 1809 | 551 | 479 | 995 | 190 | 42 | 22.11% | 214 | 47 | 78.04% | 3 | 1031 | 2006 | 51.40% | 1021 | 1991 | 51.28% | 481 | 931 | 51.66% | 1248 | 853 | 1320 | 403 | 699 | 346 | 54.2% | 11.4% | 89.6% | 101.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2006 |
Neutral Zone Start | 931 |
Defensive Zone Start | 1991 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2533 |
Faceoffs Lost | 2395 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.2 | 9.57 |
2nd Period | 22.4 | 20.31 |
3rd Period | 33.7 | 30.68 |
Overtime | 34.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.6 | 1.65 |
3rd Period | 3.8 | 2.67 |
Overtime | 3.9 | 2.83 |
Even Strenght Goal | 163 |
---|---|
PP Goal | 42 |
PK Goal | 3 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 15 | 17 |
Lost | 8 | 8 |
Overtime Lost | 5 | 1 |
PP Attempt | 190 |
---|---|
PP Goal | 42 |
PK Attempt | 214 |
PK Goal Against | 47 |
Home | |
---|---|
Shots For | 34.1 |
Shots Against | 33.5 |
Goals For | 3.9 |
Goals Against | 3.5 |
Hits | 18.4 |
Shots Blocked | 10.2 |
Pim | 8.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-09 | @ | Rangers3,Penguins5 | RECAP | |||||||||||
2024-10-12 | @ | Hockey Club4,Rangers3 | RECAP | |||||||||||
2024-10-14 | @ | Red Wings3,Rangers5 | RECAP | |||||||||||
2024-10-17 | @ | Rangers6,Red Wings2 | RECAP | |||||||||||
2024-10-19 | @ | Rangers2,Maple Leafs5 | RECAP | |||||||||||
2024-10-22 | @ | Rangers1,Canadiens2 | RECAP | |||||||||||
2024-10-24 | @ | Panthers6,Rangers4 | RECAP | |||||||||||
2024-10-26 | @ | Ducks4,Rangers3 (OT) | RECAP | |||||||||||
2024-10-29 | @ | Rangers5,Capitals2 | RECAP | |||||||||||
2024-11-01 | @ | Senators2,Rangers4 | RECAP | |||||||||||
2024-11-03 | @ | Islanders2,Rangers4 | RECAP | |||||||||||
2024-11-07 | @ | Sabres2,Rangers3 | RECAP | |||||||||||
2024-11-09 | @ | Rangers5,Red Wings4 (OT) | RECAP | |||||||||||
2024-11-12 | @ | Jets5,Rangers6 (OT) | RECAP | |||||||||||
2024-11-14 | @ | Sharks6,Rangers5 (SO) | RECAP | |||||||||||
2024-11-17 | @ | Rangers5,Kraken3 | RECAP | |||||||||||
2024-11-19 | @ | Rangers5,Canucks3 | RECAP | |||||||||||
2024-11-21 | @ | Rangers5,Flames0 | RECAP | |||||||||||
2024-11-23 | @ | Rangers5,Oilers3 | RECAP | |||||||||||
2024-11-25 | @ | Blues2,Rangers5 | RECAP | |||||||||||
2024-11-27 | @ | Rangers4,Hurricanes3 | RECAP | |||||||||||
2024-11-29 | @ | Rangers5,Flyers3 | RECAP | |||||||||||
2024-11-30 | @ | Canadiens1,Rangers6 | RECAP | |||||||||||
2024-12-02 | @ | Devils5,Rangers2 | RECAP | |||||||||||
2024-12-06 | @ | Penguins4,Rangers2 | RECAP | |||||||||||
2024-12-08 | @ | Kraken4,Rangers5 (OT) | RECAP | |||||||||||
2024-12-09 | @ | Blackhawks3,Rangers5 | RECAP | |||||||||||
2024-12-11 | @ | Rangers3,Sabres6 | RECAP | |||||||||||
2024-12-14 | @ | Kings5,Rangers6 (OT) | RECAP | |||||||||||
2024-12-15 | @ | Rangers8,Blues3 | RECAP | |||||||||||
2024-12-17 | @ | Rangers3,Predators2 | RECAP | |||||||||||
2024-12-20 | @ | Rangers3,Stars2 | RECAP | |||||||||||
2024-12-22 | @ | Hurricanes5,Rangers2 | RECAP | |||||||||||
2024-12-23 | @ | Rangers1,Devils2 | RECAP | |||||||||||
2024-12-28 | @ | Rangers2,Lightning4 | RECAP | |||||||||||
2024-12-30 | @ | Rangers5,Panthers4 | RECAP | |||||||||||
2025-01-02 | @ | Bruins5,Rangers4 (OT) | RECAP | |||||||||||
2025-01-04 | @ | Rangers2,Capitals4 | RECAP | |||||||||||
2025-01-05 | @ | Rangers4,Blackhawks5 (OT) | RECAP | |||||||||||
2025-01-07 | @ | Stars3,Rangers4 | RECAP | |||||||||||
2025-01-09 | @ | Devils2,Rangers3 (SO) | RECAP | |||||||||||
2025-01-11 | @ | Rangers5,Golden Knights4 (OT) | RECAP | |||||||||||
2025-01-14 | @ | Rangers3,Avalanche5 | RECAP | |||||||||||
2025-01-16 | @ | Rangers5,Hockey Club4 | RECAP | |||||||||||
2025-01-18 | @ | Blue Jackets1,Rangers2 | RECAP | |||||||||||
2025-01-19 | @ | Rangers5,Canadiens4 | RECAP | |||||||||||
2025-01-21 | @ | Senators6,Rangers4 | RECAP | |||||||||||
2025-01-23 | @ | Flyers5,Rangers2 | RECAP | |||||||||||
2025-01-26 | @ | Avalanche3,Rangers2 (OT) | RECAP | |||||||||||
2025-01-28 | @ | Hurricanes2,Rangers4 | RECAP | |||||||||||
2025-02-01 | @ | Rangers7,Bruins4 | RECAP | |||||||||||
2025-02-02 | @ | Golden Knights2,Rangers4 | RECAP | |||||||||||
2025-02-05 | @ | Bruins5,Rangers1 | RECAP | |||||||||||
2025-02-07 | @ | Penguins4,Rangers3 (OT) | RECAP | |||||||||||
2025-02-08 | @ | |||||||||||||
2025-02-22 | @ | |||||||||||||
2025-02-23 | @ | |||||||||||||
2025-02-25 | @ | |||||||||||||
2025-02-28 | @ | |||||||||||||
2025-03-02 | @ | |||||||||||||
2025-03-03 | @ | |||||||||||||
2025-03-05 | @ | |||||||||||||
2025-03-08 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | @ | |||||||||||||
2025-03-11 | @ | |||||||||||||
2025-03-13 | @ | |||||||||||||
2025-03-15 | @ | |||||||||||||
2025-03-16 | @ | |||||||||||||
2025-03-18 | @ | |||||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-28 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-04-02 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-07 | @ | |||||||||||||
2025-04-09 | @ | |||||||||||||
2025-04-10 | @ | |||||||||||||
2025-04-12 | @ | |||||||||||||
2025-04-14 | @ | |||||||||||||
2025-04-17 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,682,500$ | 1,750,000$ | 83,033,275$ | 4,966,725$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Madison Square Garden | |
City | New York | ||
Capacity | 18200 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1200 |
Ticket Price | 150$ | 125$ | 85$ | 60$ | 225$ |
Attendance | 163817 | 138835 | 56000 | 108325 | 33213 |
Attendance PCT | 97.51% | 99.17% | 100.00% | 96.72% | 98.85% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
13 | 17864 - 98.15% | 2,708,007$ | 75,824,186$ | 18200 | 150 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,682,500$ | 82,270,000$ | 0$ | 1,750,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
57,527,015$ | 419,745$ | 52,320,870$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
35,204,086$ | 69 | 453,737$ | 31,307,853$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
32,157,921$ | 83,033,275$ | 359,710,569$ | 364,116,996$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2025 | |||||||
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2027 | |||||||
2028 | |||||||
2029 |
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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Brad Gardiner | 2023 | 166 | |||
Colton Roberts | 2024 | 107 | |||
David Moravec | 2022 | 191 | |||
Dylan Ernst | 2022 | 95 | |||
Gunnarwolfe Fontaine | 2020 | 116 | |||
Hunter Anderson | 2023 | 209 | |||
Jakov Novak | 2018 | 191 | |||
Jakub Dvorak | 2023 | 71 | ELC 2023-24 (slide) | Link | |
John Stout | 2024 | 203 | |||
John Whipple | 2024 | 170 | |||
Jonathan Myrenberg | 2021 | 148 | |||
Kent Anderson | 2022 | 223 | |||
Kirill Dolzhenkov | 2022 | 47 | |||
Leo Sahlin Wallenius | 2024 | 43 | |||
Leon Muggli | 2024 | 75 | |||
Matthew Mania | 2023 | 113 | |||
Niilopekka Muhonen | 2024 | 139 | |||
Oliver Johansson | 2021 | 84 | |||
Owen Beckner | 2023 | 177 | |||
Petter Vesterheim | 2023 | 112 | |||
Tanner Molendyk | 2023 | 37 | ELC 2023-24 (slide) | Link | |
Viktor Hurtig | 2021 | 180 | |||
William Francis | 2019 | 156 | |||
Zaccharya Wisdom | 2023 | 197 | |||
Zachary Schulz | 2023 | 145 |
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