New York Rangers | |
GP: 22 | W: 12 | L: 9 | OTL: 1 | P: 25 GF: 60 | GA: 57 | PP%: 18.31% | PK%: 78.57% GM : Ted | Morale : 50 | Team Overall : 70 #337 vs Carolina Hurricanes |
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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 | # | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ryan O'Reilly | 0 | X | 100.00 | 61 | 42 | 92 | 81 | 78 | 83 | 85 | 90 | 95 | 83 | 83 | 77 | 77 | 86 | 90 | 25 | 50 | 77 | 0 | 33 | 4 | 4,500,000$ | ||||
2 | Patrick Kane | 0 | X | 100.00 | 61 | 40 | 89 | 89 | 63 | 78 | 79 | 89 | 25 | 84 | 88 | 59 | 74 | 90 | 91 | 10 | 50 | 75 | 0 | 35 | 1 | 2,750,000$ | ||||
3 | Lucas Raymond | 0 | X | X | 100.00 | 71 | 42 | 88 | 90 | 61 | 76 | 95 | 85 | 35 | 83 | 87 | 68 | 85 | 64 | 64 | 80 | 50 | 74 | 0 | 22 | 1 | 925,000$ | |||
4 | Joe Pavelski | 0 | X | X | 100.00 | 73 | 43 | 91 | 74 | 69 | 74 | 99 | 84 | 83 | 82 | 84 | 64 | 66 | 94 | 96 | 10 | 50 | 74 | 0 | 40 | 1 | 3,500,000$ | |||
5 | Martin Necas | 0 | X | 100.00 | 75 | 43 | 84 | 95 | 70 | 76 | 97 | 80 | 42 | 79 | 82 | 60 | 45 | 67 | 70 | 75 | 50 | 73 | 0 | 25 | 1 | 3,000,000$ | ||||
6 | Daniel Sprong | 0 | X | X | 100.00 | 63 | 41 | 90 | 86 | 67 | 61 | 88 | 80 | 56 | 76 | 75 | 62 | 63 | 69 | 70 | 65 | 50 | 69 | 0 | 27 | 1 | 2,000,000$ | |||
7 | Kasperi Kapanen | 0 | X | X | 100.00 | 73 | 43 | 93 | 88 | 71 | 67 | 87 | 68 | 36 | 67 | 58 | 77 | 25 | 70 | 72 | 55 | 50 | 67 | 0 | 28 | 6 | 3,000,000$ | |||
8 | Jack McBain | 0 | X | X | 100.00 | 95 | 89 | 79 | 77 | 83 | 63 | 92 | 63 | 76 | 72 | 62 | 75 | 25 | 60 | 60 | 75 | 50 | 67 | 0 | 24 | 2 | 1,599,999$ | |||
9 | Noel Acciari | 0 | X | X | 100.00 | 88 | 45 | 93 | 74 | 71 | 63 | 83 | 66 | 91 | 55 | 58 | 91 | 25 | 68 | 72 | 25 | 50 | 66 | 0 | 32 | 3 | 2,000,000$ | |||
10 | Christian Fischer | 0 | X | X | 100.00 | 82 | 58 | 86 | 78 | 78 | 59 | 97 | 64 | 48 | 64 | 57 | 71 | 25 | 71 | 71 | 65 | 50 | 65 | 0 | 27 | 1 | 1,125,000$ | |||
11 | Valtteri Puustinen | 0 | X | X | 100.00 | 71 | 42 | 95 | 78 | 62 | 59 | 90 | 74 | 31 | 74 | 59 | 65 | 25 | 49 | 49 | 75 | 50 | 64 | 0 | 25 | 1 | 775,000$ | |||
12 | Travis Boyd | 0 | X | X | 100.00 | 67 | 42 | 95 | 70 | 68 | 54 | 66 | 64 | 61 | 79 | 64 | 65 | 25 | 65 | 65 | 40 | 50 | 63 | 0 | 31 | 1 | 1,750,000$ | |||
13 | Zachary Werenski | 0 | X | 100.00 | 61 | 42 | 90 | 92 | 78 | 90 | 61 | 83 | 25 | 77 | 60 | 81 | 25 | 71 | 73 | 65 | 50 | 73 | 0 | 27 | 5 | 9,583,333$ | ||||
14 | Ian Cole | 0 | X | 100.00 | 76 | 68 | 78 | 74 | 81 | 76 | 95 | 64 | 25 | 50 | 48 | 92 | 25 | 80 | 85 | 25 | 50 | 72 | 0 | 35 | 1 | 3,000,000$ | ||||
15 | Filip Hronek | 0 | X | 100.00 | 78 | 43 | 86 | 83 | 67 | 88 | 90 | 74 | 25 | 73 | 48 | 78 | 25 | 68 | 68 | 65 | 50 | 71 | 0 | 26 | 1 | 4,400,000$ | ||||
16 | Shea Theodore | 0 | X | 100.00 | 59 | 41 | 95 | 85 | 72 | 85 | 68 | 90 | 25 | 81 | 51 | 71 | 77 | 70 | 75 | 55 | 50 | 70 | 0 | 29 | 2 | 5,200,000$ | ||||
17 | Andrew Peeke | 0 | X | 100.00 | 88 | 46 | 88 | 79 | 73 | 69 | 76 | 61 | 25 | 58 | 48 | 86 | 25 | 64 | 64 | 65 | 50 | 69 | 0 | 26 | 3 | 2,750,000$ | ||||
18 | Kevin Bahl | 0 | X | 100.00 | 83 | 59 | 72 | 72 | 84 | 72 | 81 | 63 | 25 | 50 | 47 | 85 | 25 | 60 | 61 | 75 | 50 | 68 | 0 | 24 | 2 | 1,050,000$ | ||||
Scratches | ||||||||||||||||||||||||||||||
Farm Team | ||||||||||||||||||||||||||||||
1 | Logan Cooley (R) | 0 | X | 100.00 | 67 | 42 | 92 | 85 | 66 | 72 | 78 | 80 | 76 | 74 | 75 | 68 | 25 | 55 | 55 | 90 | 50 | 68 | 0 | 20 | 3 | 925,000$ | ||||
2 | Julien Gauthier | 0 | X | 100.00 | 88 | 47 | 90 | 81 | 84 | 56 | 69 | 66 | 36 | 62 | 71 | 68 | 25 | 62 | 62 | 65 | 50 | 65 | 0 | 26 | 2 | 787,500$ | ||||
3 | Joey Anderson | 0 | X | 100.00 | 73 | 43 | 94 | 76 | 67 | 65 | 86 | 65 | 25 | 67 | 59 | 79 | 25 | 60 | 60 | 65 | 50 | 64 | 0 | 26 | 1 | 800,000$ | ||||
4 | Austin Watson | 0 | X | X | 100.00 | 91 | 99 | 33 | 78 | 82 | 48 | 71 | 64 | 25 | 56 | 57 | 67 | 53 | 72 | 72 | 25 | 50 | 62 | 0 | 32 | 1 | 776,665$ | |||
5 | Devin Shore | 0 | X | X | 100.00 | 78 | 44 | 93 | 79 | 75 | 50 | 73 | 62 | 52 | 62 | 57 | 61 | 75 | 69 | 70 | 40 | 50 | 62 | 0 | 30 | 1 | 775,000$ | |||
6 | Darren Helm | 0 | X | X | X | 100.00 | 80 | 44 | 88 | 82 | 70 | 53 | 59 | 54 | 66 | 50 | 55 | 77 | 63 | 81 | 82 | 10 | 50 | 62 | 0 | 37 | 1 | 1,250,000$ | ||
7 | Nicolas Deslauriers | 0 | X | 100.00 | 96 | 99 | 60 | 73 | 84 | 51 | 87 | 62 | 36 | 55 | 55 | 61 | 25 | 74 | 75 | 25 | 50 | 61 | 0 | 33 | 3 | 1,750,000$ | ||||
8 | Riley Nash | 0 | X | X | 100.00 | 71 | 70 | 73 | 79 | 70 | 68 | 70 | 63 | 79 | 59 | 63 | 62 | 60 | 44 | 46 | 25 | 50 | 61 | 0 | 35 | 1 | 700,000$ | |||
9 | Curtis McKenzie | 0 | X | 100.00 | 78 | 76 | 84 | 65 | 76 | 78 | 82 | 62 | 50 | 63 | 58 | 66 | 55 | 44 | 45 | 25 | 50 | 61 | 0 | 33 | 1 | 700,000$ | ||||
10 | Brian Halonen | 0 | X | 100.00 | 77 | 74 | 83 | 67 | 74 | 63 | 63 | 65 | 50 | 55 | 71 | 66 | 67 | 44 | 44 | 75 | 50 | 60 | 0 | 25 | 1 | 925,000$ | ||||
11 | Elmer Soderblom (R) | 0 | X | X | 100.00 | 94 | 93 | 95 | 60 | 93 | 66 | 68 | 58 | 73 | 53 | 58 | 73 | 55 | 45 | 45 | 80 | 50 | 60 | 0 | 23 | 1 | 700,000$ | |||
12 | Matt Luff | 0 | X | 100.00 | 78 | 73 | 91 | 61 | 73 | 58 | 57 | 65 | 50 | 57 | 67 | 70 | 64 | 57 | 57 | 65 | 50 | 60 | 0 | 27 | 1 | 700,000$ | ||||
13 | Oliver Bonk (R) | 0 | X | 100.00 | 50 | 44 | 84 | 73 | 66 | 79 | 95 | 69 | 25 | 66 | 60 | 71 | 63 | 46 | 46 | 95 | 50 | 64 | 0 | 19 | 3 | 925,000$ | ||||
14 | Matt Kessel | 0 | X | 100.00 | 75 | 44 | 90 | 67 | 76 | 70 | 72 | 62 | 25 | 51 | 48 | 78 | 25 | 47 | 47 | 75 | 50 | 63 | 0 | 24 | 1 | 700,000$ | ||||
15 | Brad Hunt | 0 | X | 100.00 | 68 | 62 | 83 | 65 | 62 | 82 | 88 | 62 | 25 | 52 | 54 | 66 | 51 | 66 | 67 | 10 | 50 | 63 | 0 | 36 | 1 | 700,000$ | ||||
16 | Matt Irwin | 0 | X | 100.00 | 78 | 75 | 86 | 65 | 75 | 72 | 79 | 49 | 25 | 37 | 41 | 69 | 39 | 69 | 69 | 10 | 50 | 62 | 0 | 36 | 1 | 700,000$ | ||||
17 | Will Butcher | 0 | X | 100.00 | 75 | 68 | 92 | 72 | 68 | 65 | 68 | 56 | 25 | 43 | 51 | 68 | 48 | 64 | 64 | 55 | 50 | 61 | 0 | 29 | 1 | 700,000$ | ||||
18 | Marcus Bjork (R) | 0 | X | 100.00 | 79 | 76 | 85 | 65 | 76 | 74 | 80 | 55 | 25 | 49 | 45 | 65 | 43 | 47 | 47 | 65 | 50 | 60 | 0 | 26 | 1 | 700,000$ | ||||
19 | Nate Danielson (R) | 0 | X | 100.00 | 54 | 49 | 78 | 74 | 69 | 82 | 94 | 77 | 75 | 73 | 67 | 57 | 70 | 50 | 50 | 90 | 50 | 65 | 0 | 19 | 3 | 925,000$ | ||||
20 | Adam Ruzicka | 0 | X | 100.00 | 67 | 43 | 93 | 74 | 83 | 59 | 62 | 72 | 58 | 76 | 66 | 61 | 25 | 53 | 53 | 75 | 50 | 64 | 0 | 25 | 2 | 762,500$ | ||||
21 | Joona Luoto | 0 | X | X | 100.00 | 79 | 73 | 92 | 67 | 73 | 59 | 59 | 59 | 50 | 52 | 62 | 66 | 59 | 46 | 46 | 65 | 50 | 58 | 0 | 26 | 1 | 750,000$ | |||
22 | Hudson Elynuik | 0 | X | 100.00 | 76 | 75 | 79 | 63 | 75 | 65 | 68 | 57 | 71 | 53 | 56 | 63 | 53 | 44 | 44 | 65 | 50 | 57 | 0 | 26 | 1 | 700,000$ | ||||
23 | Noah Philp (R) | 0 | X | 100.00 | 76 | 76 | 75 | 66 | 76 | 59 | 59 | 59 | 74 | 53 | 60 | 64 | 57 | 44 | 44 | 65 | 50 | 57 | 0 | 26 | 1 | 925,000$ | ||||
24 | Wyatt Bongiovanni | 0 | X | 100.00 | 74 | 71 | 81 | 62 | 71 | 64 | 67 | 56 | 70 | 47 | 61 | 62 | 58 | 44 | 44 | 75 | 50 | 56 | 0 | 25 | 1 | 700,000$ | ||||
25 | Daniel Walcott | 0 | X | 100.00 | 62 | 60 | 67 | 66 | 60 | 72 | 76 | 57 | 50 | 47 | 62 | 56 | 59 | 44 | 44 | 40 | 50 | 56 | 0 | 30 | 1 | 700,000$ | ||||
26 | Ilya Usov | 0 | X | 100.00 | 75 | 68 | 90 | 63 | 68 | 62 | 65 | 54 | 68 | 47 | 56 | 62 | 53 | 44 | 44 | 80 | 50 | 55 | 0 | 23 | 1 | 700,000$ | ||||
27 | Cal Foote | 0 | X | 100.00 | 76 | 85 | 66 | 64 | 79 | 66 | 73 | 63 | 25 | 49 | 48 | 78 | 25 | 60 | 61 | 65 | 50 | 64 | 0 | 25 | 1 | 850,000$ | ||||
28 | Michael Callahan | 0 | X | 100.00 | 78 | 73 | 88 | 65 | 73 | 71 | 78 | 48 | 25 | 39 | 41 | 62 | 39 | 44 | 44 | 75 | 50 | 58 | 0 | 24 | 1 | 700,000$ | ||||
29 | Zach Metsa | 0 | X | 100.00 | 74 | 67 | 90 | 67 | 67 | 61 | 64 | 53 | 25 | 46 | 46 | 61 | 44 | 44 | 44 | 65 | 50 | 57 | 0 | 25 | 1 | 700,000$ | ||||
30 | Markus Niemelainen (R) | 0 | X | 100.00 | 79 | 76 | 85 | 65 | 76 | 58 | 62 | 45 | 25 | 35 | 40 | 62 | 38 | 46 | 46 | 65 | 50 | 56 | 0 | 26 | 1 | 700,000$ | ||||
TEAM AVERAGE | 100.00 | 74 | 48 | 88 | 81 | 72 | 72 | 85 | 75 | 46 | 72 | 64 | 74 | 42 | 70 | 72 | 53 | 50 | 70 |
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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Hellebuyck | 0 | 100.00 | 90 | 92 | 89 | 84 | 93 | 86 | 79 | 88 | 88 | 89 | 78 | 72 | 74 | 40 | 50 | 83 | 0 | 31 | 1 | 6,166,667$ | |
2 | Jonathan Quick | 0 | 100.00 | 69 | 64 | 66 | 79 | 68 | 71 | 75 | 72 | 81 | 70 | 95 | 79 | 80 | 10 | 50 | 71 | 0 | 38 | 1 | 825,000$ | |
Scratches | ||||||||||||||||||||||||
1 | Chris Driedger | 0 | 100.00 | 60 | 43 | 54 | 84 | 64 | 64 | 64 | 67 | 69 | 68 | 30 | 52 | 53 | 40 | 50 | 63 | 0 | 30 | 1 | 3,500,000$ | |
Farm Team | ||||||||||||||||||||||||
1 | Justus Annunen | 0 | 100.00 | 69 | 58 | 56 | 85 | 77 | 62 | 75 | 69 | 77 | 69 | 75 | 45 | 45 | 75 | 50 | 66 | 0 | 24 | 1 | 775,000$ | |
2 | Vadim Zherenko (R) | 0 | 100.00 | 52 | 47 | 59 | 66 | 55 | 55 | 50 | 56 | 55 | 54 | 30 | 44 | 44 | 80 | 50 | 53 | 0 | 23 | 3 | 846,667$ | |
TEAM AVERAGE | 100.00 | 73 | 66 | 70 | 82 | 75 | 74 | 73 | 76 | 79 | 76 | 68 | 68 | 69 | 30 | 50 | 72 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ryan O'Reilly | New York Rangers | C | 22 | 9 | 10 | 19 | 2 | 4 | 0 | 17 | 67 | 93 | 20 | 63 | 9.68% | 4 | 452 | 20.58 | 2 | 4 | 6 | 16 | 60 | 0 | 0 | 0 | 5 | 58 | 2 | 1 | 56.43% | 638 | 0 | 0 | 0 | 1 | 0.84 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 1 |
2 | Joe Pavelski | New York Rangers | C/RW | 22 | 5 | 12 | 17 | 6 | 2 | 0 | 20 | 46 | 51 | 18 | 28 | 9.80% | 4 | 406 | 18.46 | 1 | 3 | 4 | 10 | 53 | 0 | 0 | 0 | 1 | 23 | 1 | 0 | 56.02% | 457 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 |
3 | Martin Necas | New York Rangers | RW | 22 | 7 | 9 | 16 | 5 | 2 | 0 | 47 | 28 | 75 | 25 | 35 | 9.33% | 1 | 381 | 17.32 | 1 | 4 | 5 | 10 | 53 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 39.13% | 23 | 0 | 0 | 0 | 1 | 0.84 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
4 | Zachary Werenski | New York Rangers | D | 22 | 3 | 13 | 16 | 5 | 4 | 0 | 12 | 28 | 35 | 17 | 26 | 8.57% | 31 | 524 | 23.84 | 2 | 3 | 5 | 19 | 60 | 0 | 0 | 0 | 0 | 49 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
5 | Lucas Raymond | New York Rangers | LW/RW | 22 | 9 | 6 | 15 | 7 | 4 | 0 | 32 | 42 | 74 | 23 | 45 | 12.16% | 2 | 442 | 20.12 | 3 | 1 | 4 | 7 | 59 | 0 | 0 | 0 | 0 | 42 | 1 | 0 | 30.77% | 26 | 0 | 0 | 1 | 0 | 0.68 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 2 |
6 | Patrick Kane | New York Rangers | RW | 22 | 5 | 10 | 15 | 4 | 8 | 0 | 23 | 30 | 65 | 18 | 63 | 7.69% | 1 | 404 | 18.40 | 0 | 4 | 4 | 14 | 60 | 0 | 0 | 0 | 0 | 16 | 1 | 0 | 25.00% | 56 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
7 | Filip Hronek | New York Rangers | D | 22 | 2 | 9 | 11 | -3 | 8 | 0 | 46 | 33 | 16 | 11 | 14 | 12.50% | 26 | 466 | 21.21 | 1 | 2 | 3 | 9 | 58 | 0 | 0 | 0 | 0 | 42 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8 | Shea Theodore | New York Rangers | D | 22 | 1 | 10 | 11 | -5 | 4 | 0 | 5 | 18 | 23 | 9 | 12 | 4.35% | 25 | 474 | 21.59 | 0 | 2 | 2 | 17 | 55 | 0 | 0 | 0 | 1 | 41 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9 | Ian Cole | New York Rangers | D | 22 | 1 | 9 | 10 | 6 | 25 | 5 | 64 | 7 | 29 | 9 | 13 | 3.45% | 37 | 489 | 22.26 | 1 | 1 | 2 | 11 | 55 | 0 | 0 | 0 | 0 | 39 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
10 | Daniel Sprong | New York Rangers | LW/RW | 22 | 5 | 4 | 9 | 0 | 0 | 0 | 18 | 27 | 25 | 14 | 29 | 20.00% | 6 | 373 | 16.96 | 2 | 2 | 4 | 5 | 50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34.38% | 32 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
11 | Kasperi Kapanen | New York Rangers | LW/RW | 22 | 3 | 4 | 7 | -4 | 0 | 0 | 4 | 25 | 39 | 14 | 22 | 7.69% | 1 | 296 | 13.49 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 9 | 0 | 2 | 21.43% | 28 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
12 | Noel Acciari | New York Rangers | C/RW | 22 | 2 | 4 | 6 | -4 | 8 | 0 | 11 | 18 | 28 | 7 | 24 | 7.14% | 6 | 299 | 13.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 65.63% | 32 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 |
13 | Kevin Bahl | New York Rangers | D | 22 | 0 | 5 | 5 | -1 | 26 | 10 | 43 | 9 | 11 | 2 | 5 | 0% | 31 | 349 | 15.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 |
14 | Christian Fischer | New York Rangers | LW/RW | 22 | 2 | 2 | 4 | -3 | 6 | 0 | 21 | 10 | 21 | 7 | 13 | 9.52% | 5 | 179 | 8.17 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 5 | 1 | 0 | 57.14% | 14 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Andrew Peeke | New York Rangers | D | 22 | 2 | 2 | 4 | 1 | 18 | 0 | 37 | 14 | 16 | 1 | 5 | 12.50% | 21 | 336 | 15.29 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
16 | Jack McBain | New York Rangers | C/LW | 22 | 1 | 2 | 3 | -4 | 14 | 0 | 43 | 27 | 29 | 10 | 20 | 3.45% | 1 | 288 | 13.10 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 49.68% | 312 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
17 | Valtteri Puustinen | New York Rangers | LW/RW | 22 | 2 | 1 | 3 | -3 | 0 | 0 | 3 | 13 | 23 | 5 | 11 | 8.70% | 0 | 172 | 7.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.67% | 12 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Travis Boyd | New York Rangers | C/RW | 22 | 0 | 1 | 1 | -3 | 0 | 0 | 5 | 15 | 13 | 2 | 8 | 0% | 1 | 172 | 7.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.86% | 193 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 396 | 59 | 113 | 172 | 6 | 133 | 15 | 451 | 457 | 666 | 212 | 436 | 8.86% | 203 | 6511 | 16.44 | 13 | 26 | 39 | 119 | 579 | 0 | 0 | 0 | 8 | 377 | 11 | 3 | 50.91% | 1823 | 0 | 0 | 1 | 2 | 0.53 | 1 | 2 | 3 | 0 | 0 | 6 | 12 | 14 |
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 | Connor Hellebuyck | New York Rangers | 16 | 10 | 6 | 0 | 0.923 | 2.43 | 963 | 0 | 0 | 39 | 504 | 0 | 0 | 0 | 1.000 | 3 | 16 | 6 | 5 | 0 | 0 |
2 | Jonathan Quick | New York Rangers | 6 | 2 | 3 | 1 | 0.885 | 3.03 | 356 | 2 | 0 | 18 | 157 | 0 | 0 | 0 | 0 | 0 | 6 | 16 | 0 | 0 | 0 |
Team Total or Average | 22 | 12 | 9 | 1 | 0.914 | 2.59 | 1320 | 2 | 0 | 57 | 661 | 0 | 0 | 0 | 3 | 22 | 22 | 5 | 0 | 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 |
Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Peeke | New York Rangers | D | 26 | 1998-03-16 | No | 194 Lbs | 6 ft3 | No | No | Assign Manually | No | Yes | 3 | 2024-04-21 | False | False | Pro & Farm | 2,750,000$ | 2,750,000$ | 2,075,231$ | No | 2,750,000$ | 2,750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
Chris Driedger | New York Rangers | G | 30 | 1994-05-18 | No | 205 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 1 | 2024-04-21 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 2,641,204$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Christian Fischer | New York Rangers | LW/RW | 27 | 1997-04-14 | No | 214 Lbs | 6 ft2 | No | No | Assign Manually | No | Yes | 1 | 2024-04-21 | False | False | Pro & Farm | 1,125,000$ | 1,125,000$ | 848,958$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Connor Hellebuyck | New York Rangers | G | 31 | 1993-05-18 | No | 207 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 1 | 2024-04-21 | False | False | Pro & Farm | 6,166,667$ | 6,166,667$ | 4,653,550$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Daniel Sprong | New York Rangers | LW/RW | 27 | 1997-03-17 | No | 180 Lbs | 6 ft0 | No | No | Assign Manually | No | Yes | 1 | 2024-04-21 | False | False | Pro & Farm | 2,000,000$ | 2,000,000$ | 1,509,259$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Filip Hronek | New York Rangers | D | 26 | 1997-11-02 | No | 183 Lbs | 6 ft0 | No | No | Assign Manually | No | Yes | 1 | 2024-04-21 | False | False | Pro & Farm | 4,400,000$ | 4,400,000$ | 3,320,370$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Ian Cole | New York Rangers | D | 35 | 1989-02-21 | No | 225 Lbs | 6 ft1 | No | No | Trade | 2024-08-10 | No | No | 1 | 2024-04-21 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 2,263,889$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
Jack McBain | New York Rangers | C/LW | 24 | 2000-06-06 | No | 218 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 2 | 2024-04-21 | False | False | Pro & Farm | 1,599,999$ | 1,599,999$ | 1,207,407$ | No | 1,599,999$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Joe Pavelski | New York Rangers | C/RW | 40 | 1984-07-11 | No | 195 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 1 | 2024-04-21 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 2,641,204$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Jonathan Quick | New York Rangers | G | 38 | 1986-01-20 | No | 216 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 1 | 2024-04-21 | False | False | Pro & Farm | 825,000$ | 825,000$ | 622,569$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Kasperi Kapanen | New York Rangers | LW/RW | 28 | 1996-07-23 | No | 194 Lbs | 6 ft1 | No | No | Assign Manually | No | Yes | 6 | 2024-08-15 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 2,263,889$ | No | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - | Link | |
Kevin Bahl | New York Rangers | D | 24 | 2000-06-27 | No | 216 Lbs | 6 ft6 | No | No | Assign Manually | No | No | 2 | 2024-04-21 | False | False | Pro & Farm | 1,050,000$ | 1,050,000$ | 792,361$ | No | 1,050,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Lucas Raymond | New York Rangers | LW/RW | 22 | 2002-03-28 | No | 170 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 1 | 2024-04-21 | False | False | Pro & Farm | 925,000$ | 925,000$ | 698,032$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Martin Necas | New York Rangers | RW | 25 | 1999-01-14 | No | 189 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2024-04-21 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 2,263,889$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Noel Acciari | New York Rangers | C/RW | 32 | 1991-12-01 | No | 203 Lbs | 5 ft10 | No | No | Assign Manually | No | Yes | 3 | 2024-04-21 | False | False | Pro & Farm | 2,000,000$ | 2,000,000$ | 1,509,259$ | No | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
Patrick Kane | New York Rangers | RW | 35 | 1988-11-19 | No | 177 Lbs | 5 ft10 | No | No | Assign Manually | No | No | 1 | 2024-04-21 | False | False | Pro & Farm | 2,750,000$ | 2,750,000$ | 2,075,231$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Ryan O'Reilly | New York Rangers | C | 33 | 1991-02-07 | No | 216 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 4 | 2024-04-21 | False | False | Pro & Farm | 4,500,000$ | 4,500,000$ | 3,395,833$ | No | 4,500,000$ | 4,500,000$ | 4,500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Shea Theodore | New York Rangers | D | 29 | 1995-08-03 | No | 195 Lbs | 6 ft2 | No | No | Assign Manually | No | Yes | 2 | 2024-04-21 | False | False | Pro & Farm | 5,200,000$ | 5,200,000$ | 3,924,074$ | No | 5,200,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Travis Boyd | New York Rangers | C/RW | 31 | 1993-09-14 | No | 190 Lbs | 6 ft0 | No | No | Assign Manually | No | Yes | 1 | 2024-04-21 | False | False | Pro & Farm | 1,750,000$ | 1,750,000$ | 1,320,602$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Valtteri Puustinen | New York Rangers | LW/RW | 25 | 1999-06-04 | No | 179 Lbs | 5 ft9 | No | No | Assign Manually | No | Yes | 1 | 2024-04-21 | False | False | Pro & Farm | 775,000$ | 775,000$ | 584,838$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Zachary Werenski | New York Rangers | D | 27 | 1997-07-19 | No | 212 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 5 | 2024-04-21 | False | False | Pro & Farm | 9,583,333$ | 9,583,333$ | 7,231,867$ | No | 9,583,333$ | 9,583,333$ | 9,583,333$ | 9,583,333$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
21 | 29.29 | 199 Lbs | 6 ft1 | 1.90 | 3,019,048$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
63,399,999$ | 29,683,332$ | 21,833,333$ | 17,083,333$ | 12,583,333$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Daniel Sprong | Ryan O'Reilly | Patrick Kane | 30 | 1 | 2 | 2 |
2 | Lucas Raymond | Joe Pavelski | Martin Necas | 30 | 1 | 2 | 2 |
3 | Kasperi Kapanen | Jack McBain | Noel Acciari | 25 | 1 | 2 | 2 |
4 | Christian Fischer | Travis Boyd | Valtteri Puustinen | 15 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Zachary Werenski | Ian Cole | 31 | 1 | 2 | 2 | |
2 | Andrew Peeke | Shea Theodore | 31 | 1 | 2 | 2 | |
3 | Filip Hronek | Kevin Bahl | 28 | 1 | 2 | 2 | |
4 | Zachary Werenski | Shea Theodore | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Lucas Raymond | Ryan O'Reilly | Patrick Kane | 50 | 1 | 1 | 3 |
2 | Daniel Sprong | Joe Pavelski | Martin Necas | 50 | 1 | 1 | 3 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Zachary Werenski | Filip Hronek | 50 | 1 | 2 | 2 | |
2 | Shea Theodore | Ian Cole | 50 | 1 | 1 | 3 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Ryan O'Reilly | Noel Acciari | 60 | 1 | 2 | 2 |
2 | Jack McBain | Kasperi Kapanen | 40 | 1 | 3 | 1 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Zachary Werenski | Shea Theodore | 60 | 1 | 2 | 2 |
2 | Filip Hronek | Ian Cole | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Ryan O'Reilly | 60 | 1 | 2 | 2 | Zachary Werenski | Ian Cole | 60 | 1 | 2 | 2 |
2 | Noel Acciari | 40 | 1 | 2 | 2 | Filip Hronek | Shea Theodore | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Ryan O'Reilly | Lucas Raymond | 60 | 1 | 2 | 2 |
2 | Joe Pavelski | Patrick Kane | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Zachary Werenski | Ian Cole | 60 | 1 | 2 | 2 |
2 | Filip Hronek | Shea Theodore | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Lucas Raymond | Ryan O'Reilly | Patrick Kane | Zachary Werenski | Ian Cole |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Lucas Raymond | Ryan O'Reilly | Patrick Kane | Zachary Werenski | Ian Cole |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Kasperi Kapanen, Jack McBain, Noel Acciari | Kasperi Kapanen, Jack McBain | Noel Acciari |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Andrew Peeke, Kevin Bahl, Filip Hronek | Andrew Peeke | Kevin Bahl, Filip Hronek |
Penalty Shots |
---|
Ryan O'Reilly, Lucas Raymond, Patrick Kane, Joe Pavelski, Martin Necas |
Goalie |
---|
#1 : Jonathan Quick, #2 : Connor Hellebuyck |
Custom OT Lines Forwards |
---|
Ryan O'Reilly, Lucas Raymond, Patrick Kane, Joe Pavelski, Martin Necas, Daniel Sprong, Daniel Sprong, Kasperi Kapanen, Jack McBain, Noel Acciari, Christian Fischer |
Custom OT Lines Defensemen |
---|
Zachary Werenski, Ian Cole, Filip Hronek, Shea Theodore, Andrew Peeke |
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3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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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 |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
1 | Boston Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 29 | 11 | 6 | 12 | 0 | 38 | 13 | 8 | 20 | 4 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 25 | 17 | 22 | 7 | 12 | 5 |
2 | Carolina Hurricanes | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 4 | 2 | 1 | 1 | 64 | 20 | 23 | 18 | 5 | 61 | 22 | 6 | 44 | 8 | 2 | 25.00% | 2 | 0 | 100.00% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 49 | 35 | 48 | 15 | 27 | 13 |
3 | Columbus Blue Jackets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 30 | 15 | 6 | 9 | 0 | 33 | 6 | 2 | 13 | 8 | 1 | 12.50% | 1 | 0 | 100.00% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 26 | 19 | 21 | 7 | 12 | 6 |
4 | Detroit Red Wings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 25 | 7 | 7 | 11 | 0 | 24 | 12 | 11 | 16 | 3 | 2 | 66.67% | 3 | 2 | 33.33% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 24 | 16 | 21 | 6 | 14 | 7 |
5 | Florida Panthers | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.333 | 9 | 16 | 25 | 0 | 0 | 5 | 3 | 1 | 0 | 95 | 26 | 34 | 35 | 0 | 92 | 17 | 19 | 65 | 5 | 2 | 40.00% | 5 | 2 | 60.00% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 68 | 49 | 72 | 20 | 38 | 18 |
6 | New Jersey Devils | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 31 | 8 | 12 | 11 | 0 | 30 | 8 | 4 | 23 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 23 | 16 | 23 | 7 | 13 | 6 |
7 | New York Islanders | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.333 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 69 | 23 | 28 | 18 | 0 | 88 | 24 | 18 | 56 | 7 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 67 | 44 | 73 | 21 | 39 | 19 |
8 | Philadelphia Flyers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 29 | 13 | 12 | 4 | 0 | 31 | 13 | 4 | 22 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 25 | 18 | 22 | 7 | 11 | 6 |
9 | Pittsburgh Penguins | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 4 | 0.667 | 9 | 17 | 26 | 0 | 0 | 4 | 2 | 3 | 0 | 120 | 37 | 47 | 36 | 0 | 88 | 33 | 25 | 64 | 9 | 2 | 22.22% | 10 | 2 | 80.00% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 75 | 55 | 66 | 20 | 37 | 18 |
10 | San Jose Sharks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 32 | 8 | 10 | 14 | 0 | 21 | 10 | 6 | 27 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 24 | 17 | 22 | 6 | 12 | 6 |
11 | Tampa Bay Lightning | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 35 | 12 | 9 | 14 | 0 | 33 | 10 | 12 | 18 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 27 | 19 | 20 | 6 | 11 | 6 |
12 | Toronto Maple Leafs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 52 | 18 | 18 | 16 | 0 | 79 | 19 | 14 | 42 | 5 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 46 | 33 | 48 | 13 | 24 | 11 |
13 | Washington Capitals | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 2 | 4 | 1 | 0 | 55 | 22 | 18 | 15 | 0 | 43 | 16 | 6 | 41 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 48 | 34 | 47 | 15 | 25 | 13 |
Total | 22 | 11 | 9 | 0 | 0 | 1 | 1 | 0 | 60 | 57 | 3 | 10 | 6 | 3 | 0 | 0 | 0 | 1 | 0 | 31 | 24 | 7 | 12 | 5 | 6 | 0 | 0 | 1 | 0 | 0 | 29 | 33 | -4 | 25 | 0.568 | 60 | 113 | 173 | 0 | 0 | 25 | 16 | 18 | 1 | 666 | 220 | 230 | 213 | 5 | 661 | 203 | 135 | 451 | 71 | 13 | 18.31% | 56 | 12 | 78.57% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 533 | 376 | 511 | 155 | 280 | 141 | |
_Since Last GM Reset | 22 | 11 | 9 | 0 | 0 | 1 | 1 | 0 | 60 | 57 | 3 | 10 | 6 | 3 | 0 | 0 | 0 | 1 | 0 | 31 | 24 | 7 | 12 | 5 | 6 | 0 | 0 | 1 | 0 | 0 | 29 | 33 | -4 | 25 | 0.568 | 60 | 113 | 173 | 0 | 0 | 25 | 16 | 18 | 1 | 666 | 220 | 230 | 213 | 5 | 661 | 203 | 135 | 451 | 71 | 13 | 18.31% | 56 | 12 | 78.57% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 533 | 376 | 511 | 155 | 280 | 141 | |
_Vs Conference | 21 | 10 | 9 | 0 | 0 | 1 | 1 | 0 | 55 | 56 | -1 | 9 | 5 | 3 | 0 | 0 | 0 | 1 | 0 | 26 | 23 | 3 | 12 | 5 | 6 | 0 | 0 | 1 | 0 | 0 | 29 | 33 | -4 | 23 | 0.548 | 55 | 104 | 159 | 0 | 0 | 23 | 15 | 16 | 1 | 634 | 212 | 220 | 199 | 5 | 640 | 193 | 129 | 424 | 67 | 12 | 17.91% | 53 | 12 | 77.36% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 508 | 359 | 489 | 148 | 267 | 134 | |
_Vs Division | 13 | 7 | 4 | 0 | 0 | 1 | 1 | 0 | 33 | 28 | 5 | 5 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 14 | 11 | 3 | 8 | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 19 | 17 | 2 | 17 | 0.654 | 33 | 63 | 96 | 0 | 0 | 14 | 9 | 9 | 1 | 398 | 138 | 146 | 111 | 5 | 374 | 122 | 65 | 263 | 48 | 7 | 14.58% | 29 | 4 | 86.21% | 0 | 386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% | 316 | 222 | 302 | 94 | 166 | 84 |
Total For Players | ||||||||||||
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Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
22 | 25 | W1 | 60 | 113 | 173 | 666 | 661 | 203 | 135 | 451 | 0 | 0 |
All Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
22 | 11 | 9 | 0 | 1 | 1 | 0 | 60 | 57 |
Home Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 6 | 3 | 0 | 0 | 1 | 0 | 31 | 24 |
Visitor Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 5 | 6 | 0 | 1 | 0 | 0 | 29 | 33 |
Last 10 Games | |||||
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W | L | OTW | OTL | SOW | SOL |
3 | 6 | 0 | 1 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
71 | 13 | 18.31% | 56 | 12 | 78.57% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
220 | 230 | 213 | 5 | 25 | 16 | 18 | 1 |
Face Offs | ||||||||
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Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
386 | 766 | 50.39% | 378 | 725 | 52.14% | 164 | 326 | 50.31% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
533 | 376 | 511 | 155 | 280 | 141 |
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 ) |
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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 |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100 | 60 | 35 | 25 | 200 |
Attendance | 56,781 | 46,395 | 18,803 | 37,899 | 9,508 |
Attendance PCT | 94.64% | 92.79% | 94.02% | 94.75% | 95.08% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
31 | 16939 - 94.10% | 610,418$ | 6,104,180$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
15,556,507$ | 63,399,999$ | 63,399,999$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
63,399,999$ | 15,556,507$ | 0$ | 21 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
18,922,958$ | 163 | 293,519$ | 47,843,597$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
67,017,197$ | -7,446,257$ | -54,331,425$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
63,399,999$ | 19,100,001$ | 82,500,000$ | 3,199,999$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
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Trey Augustine | New York Rangers | 1 | 72 | 0 | Link |
Year | R1 | R2 | R3 | |
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4 | ||||
5 | ||||
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Conditional Draft Picks |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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