Day : 24 |
NSH - 0 |
VEG - 2 |
VAN - 3 |
DET - 0 |
WBS - 3 |
HAM - 4 |
PAR - 4 |
CTW - 6 |
Day : 25 |
(7-4-0) - W1 |
(6-4-0) - OTL1 |
GP: 10 | W: 6 | L: 4 GF: 27 | GA: 19 | PP%: 13.89% | PK%: 78.79% GM : Francis Bérubé |
|
|
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 | Dylan Cozens | X | 100.00 | 75 | 40 | 81 | 87 | 83 | 86 | 83 | 86 | 74 | 83 | 82 | 67 | 83 | 75 | 83 | 9 | 50 | 0 | 0 | 22 | 4 | 6,500,000$ | ||||
2 | Vince Hinostroza | X | X | X | 100.00 | 59 | 23 | 99 | 93 | 71 | 82 | 81 | 86 | 75 | 79 | 76 | 67 | 76 | 77 | 74 | 1 | 50 | 0 | 0 | 29 | 1 | 4,250,000$ | ||
3 | Nikolay Goldobin | X | X | 100.00 | 64 | 30 | 92 | 83 | 81 | 88 | 88 | 84 | 68 | 77 | 75 | 67 | 72 | 88 | 81 | 6 | 50 | 0 | 0 | 28 | 1 | 2,100,000$ | |||
4 | Travis Konecny (A) | X | X | 100.00 | 78 | 33 | 85 | 93 | 79 | 89 | 88 | 89 | 75 | 82 | 82 | 70 | 85 | 88 | 97 | 8 | 50 | 0 | 0 | 26 | 4 | 7,000,000$ | |||
5 | JJ Peterka (R) | X | X | X | 100.00 | 66 | 25 | 84 | 84 | 78 | 83 | 85 | 85 | 73 | 77 | 78 | 66 | 82 | 75 | 77 | 8 | 50 | 0 | 0 | 21 | 3 | 950,000$ | ||
6 | Jason Robertson | X | X | 100.00 | 78 | 40 | 82 | 81 | 86 | 85 | 87 | 84 | 65 | 74 | 76 | 68 | 76 | 79 | 80 | 7 | 50 | 0 | 0 | 24 | 3 | 2,400,000$ | |||
7 | Viktor Arvidsson | X | X | 100.00 | 74 | 33 | 93 | 91 | 77 | 84 | 77 | 92 | 65 | 78 | 79 | 69 | 84 | 92 | 90 | 1 | 50 | 0 | 0 | 30 | 1 | 3,350,000$ | |||
8 | Brayden Point (A) | X | 100.00 | 88 | 38 | 85 | 95 | 80 | 91 | 90 | 94 | 78 | 88 | 87 | 75 | 84 | 91 | 92 | 9 | 50 | 0 | 0 | 27 | 5 | 9,750,000$ | ||||
9 | Tobias Rieder | X | X | X | 100.00 | 58 | 30 | 96 | 90 | 78 | 87 | 82 | 81 | 77 | 77 | 77 | 70 | 80 | 98 | 98 | 1 | 50 | 0 | 0 | 30 | 1 | 3,600,000$ | ||
10 | Mark Stone | X | 100.00 | 87 | 35 | 85 | 74 | 85 | 87 | 87 | 85 | 73 | 80 | 76 | 68 | 79 | 99 | 99 | 1 | 50 | 0 | 0 | 31 | 1 | 7,000,000$ | ||||
11 | Tyler Bertuzzi | X | X | 100.00 | 97 | 44 | 78 | 84 | 90 | 87 | 87 | 84 | 68 | 79 | 78 | 78 | 77 | 91 | 89 | 7 | 50 | 0 | 0 | 28 | 5 | 5,500,000$ | |||
12 | Ryan Donato | X | X | 100.00 | 63 | 25 | 94 | 83 | 75 | 81 | 77 | 83 | 74 | 75 | 76 | 71 | 75 | 75 | 74 | 6 | 50 | 0 | 0 | 27 | 3 | 2,400,000$ | |||
13 | Conor Timmins (R) | X | 100.00 | 77 | 30 | 85 | 82 | 81 | 80 | 72 | 78 | 55 | 76 | 65 | 86 | 65 | 75 | 75 | 6 | 50 | 0 | 0 | 25 | 1 | 1,250,000$ | ||||
14 | Brandon Carlo | X | 100.00 | 98 | 47 | 71 | 78 | 90 | 86 | 86 | 79 | 50 | 77 | 69 | 94 | 63 | 84 | 83 | 7 | 50 | 0 | 0 | 27 | 4 | 4,700,000$ | ||||
15 | Ivan Provorov | X | 100.00 | 91 | 40 | 81 | 85 | 87 | 86 | 85 | 86 | 52 | 82 | 75 | 89 | 70 | 84 | 80 | 9 | 50 | 0 | 0 | 26 | 5 | 4,500,000$ | ||||
16 | Jakob Chychrun | X | 100.00 | 87 | 44 | 75 | 83 | 93 | 86 | 86 | 86 | 50 | 79 | 71 | 89 | 68 | 92 | 93 | 9 | 50 | 0 | 0 | 25 | 1 | 5,500,000$ | ||||
17 | Ryan McDonagh (C) | X | 100.00 | 88 | 44 | 78 | 77 | 84 | 77 | 75 | 82 | 50 | 80 | 69 | 93 | 66 | 99 | 99 | 1 | 50 | 0 | 0 | 34 | 4 | 6,000,000$ | ||||
18 | Gustav Forsling | X | 100.00 | 75 | 28 | 89 | 84 | 81 | 81 | 80 | 83 | 50 | 78 | 71 | 90 | 70 | 80 | 78 | 8 | 50 | 0 | 0 | 27 | 6 | 5,750,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Christian Fischer | X | X | 100.00 | 88 | 36 | 83 | 81 | 92 | 86 | 89 | 82 | 77 | 77 | 74 | 71 | 73 | 83 | 76 | 7 | 50 | 0 | 0 | 26 | 4 | 2,000,000$ | |||
2 | Walker Duehr | X | 100.00 | 86 | 55 | 76 | 78 | 86 | 80 | 83 | 77 | 73 | 73 | 75 | 70 | 75 | 73 | 76 | 6 | 50 | 0 | 0 | 26 | 1 | 900,000$ | ||||
3 | Josh Mahura (R) | X | 100.00 | 79 | 33 | 83 | 79 | 81 | 81 | 73 | 79 | 50 | 74 | 65 | 87 | 63 | 76 | 74 | 6 | 50 | 0 | 0 | 25 | 2 | 1,600,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Ryan Poehling (R) | X | 99.00 | 76 | 37 | 90 | 79 | 81 | 82 | 82 | 80 | 78 | 76 | 73 | 75 | 72 | 80 | 73 | 7 | 50 | 0 | 0 | 24 | 1 | 900,000$ | ||||
2 | Tyson Foerster (R) | X | 100.00 | 72 | 45 | 80 | 75 | 80 | 83 | 86 | 79 | 76 | 73 | 73 | 68 | 76 | 71 | 69 | 7 | 50 | 0 | 0 | 21 | 1 | 950,000$ | ||||
3 | Lauri Pajuniemi (R) | X | 100.00 | 72 | 30 | 81 | 77 | 80 | 76 | 79 | 78 | 70 | 72 | 72 | 66 | 83 | 71 | 68 | 5 | 50 | 0 | 0 | 24 | 1 | 850,000$ | ||||
4 | Glenn Gawdin | X | X | 100.00 | 80 | 42 | 81 | 78 | 79 | 82 | 81 | 79 | 72 | 71 | 71 | 69 | 71 | 72 | 72 | 5 | 50 | 0 | 0 | 26 | 1 | 850,000$ | |||
5 | Marcus Sylvegård (R) | X | 100.00 | 82 | 30 | 72 | 82 | 81 | 82 | 79 | 78 | 70 | 73 | 71 | 67 | 81 | 67 | 65 | 6 | 50 | 0 | 0 | 24 | 2 | 950,000$ | ||||
6 | Josh Norris (R) | X | 99.00 | 77 | 38 | 88 | 81 | 80 | 86 | 81 | 79 | 73 | 73 | 72 | 69 | 73 | 76 | 77 | 6 | 50 | 0 | 0 | 24 | 2 | 1,250,000$ | ||||
7 | Dawson Mercer (R) | X | 99.00 | 68 | 45 | 92 | 78 | 77 | 85 | 85 | 78 | 72 | 72 | 72 | 75 | 72 | 67 | 67 | 7 | 50 | 0 | 0 | 22 | 1 | 925,000$ | ||||
8 | Nick Robertson (R) | X | 100.00 | 68 | 38 | 82 | 78 | 74 | 84 | 84 | 78 | 65 | 73 | 72 | 69 | 79 | 71 | 69 | 7 | 50 | 0 | 0 | 22 | 1 | 950,000$ | ||||
9 | Morgan Frost (R) | X | 100.00 | 66 | 35 | 89 | 86 | 78 | 85 | 72 | 80 | 76 | 74 | 73 | 68 | 73 | 74 | 73 | 7 | 50 | 0 | 0 | 24 | 1 | 925,000$ | ||||
10 | Trent Frederic | X | X | 100.00 | 89 | 40 | 81 | 81 | 86 | 84 | 82 | 80 | 73 | 72 | 73 | 68 | 72 | 68 | 68 | 6 | 50 | 0 | 0 | 25 | 1 | 1,500,000$ | |||
11 | Dominik Bokk (R) | X | X | 100.00 | 73 | 33 | 94 | 83 | 78 | 85 | 78 | 82 | 66 | 74 | 74 | 66 | 76 | 73 | 74 | 7 | 50 | 0 | 0 | 23 | 2 | 2,000,000$ | |||
12 | Evan Bouchard (R) | X | 100.00 | 78 | 40 | 80 | 82 | 82 | 82 | 81 | 83 | 50 | 78 | 72 | 81 | 68 | 75 | 75 | 7 | 50 | 0 | 0 | 24 | 1 | 950,000$ | ||||
13 | Rasmus Sandin | X | 100.00 | 76 | 33 | 84 | 85 | 79 | 87 | 82 | 83 | 50 | 76 | 69 | 85 | 65 | 79 | 76 | 8 | 50 | 0 | 0 | 23 | 1 | 1,500,000$ | ||||
14 | Scott Walford (R) | X | 100.00 | 90 | 44 | 78 | 75 | 87 | 83 | 81 | 77 | 50 | 73 | 67 | 86 | 63 | 73 | 82 | 6 | 50 | 0 | 0 | 24 | 2 | 1,250,000$ | ||||
15 | Pierre-Olivier Joseph (R) | X | 100.00 | 77 | 35 | 81 | 85 | 77 | 81 | 82 | 82 | 50 | 76 | 66 | 86 | 66 | 75 | 72 | 7 | 50 | 0 | 0 | 24 | 1 | 1,500,000$ | ||||
16 | Vladislav Gavrikov | X | 99.00 | 86 | 40 | 86 | 76 | 86 | 83 | 83 | 78 | 50 | 72 | 67 | 88 | 60 | 82 | 75 | 6 | 50 | 0 | 0 | 28 | 2 | 1,900,000$ | ||||
17 | Moritz Seider (R) | X | 99.00 | 84 | 43 | 81 | 78 | 83 | 85 | 87 | 80 | 50 | 73 | 68 | 87 | 65 | 72 | 73 | 8 | 50 | 0 | 0 | 22 | 1 | 925,000$ | ||||
18 | Alex Formenton (R) | X | 66.73 | 84 | 40 | 78 | 89 | 78 | 84 | 84 | 83 | 67 | 73 | 74 | 73 | 73 | 76 | 71 | 8 | 50 | 0 | 0 | 24 | 2 | 950,000$ | ||||
19 | Aidan Dudas (R) | X | 100.00 | 67 | 40 | 83 | 79 | 70 | 81 | 78 | 75 | 73 | 69 | 69 | 73 | 71 | 65 | 76 | 6 | 50 | 0 | 0 | 23 | 1 | 850,000$ | ||||
20 | Cam Hillis (R) | X | 100.00 | 60 | 30 | 80 | 76 | 66 | 82 | 69 | 75 | 73 | 68 | 67 | 71 | 71 | 61 | 70 | 5 | 50 | 0 | 0 | 23 | 1 | 750,000$ | ||||
21 | William Lagesson | X | 100.00 | 88 | 45 | 79 | 76 | 86 | 81 | 74 | 76 | 50 | 70 | 65 | 86 | 61 | 75 | 74 | 5 | 50 | 0 | 0 | 27 | 2 | 1,500,000$ | ||||
22 | Filip Westerlund (R) | X | 100.00 | 66 | 35 | 87 | 76 | 73 | 80 | 65 | 74 | 50 | 67 | 62 | 83 | 55 | 64 | 64 | 5 | 50 | 0 | 0 | 24 | 1 | 750,000$ | ||||
TEAM AVERAGE | 100.00 | 79 | 36 | 85 | 84 | 83 | 84 | 83 | 84 | 65 | 78 | 75 | 76 | 75 | 84 | 84 | 6 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie 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 | Andrey Vasilevskiy | 100.00 | 93 | 91 | 91 | 88 | 98 | 93 | 95 | 95 | 94 | 98 | 93 | 93 | 90 | 10 | 50 | 0 | 0 | 29 | 3 | 8,000,000$ | |
2 | Adin Hill | 100.00 | 87 | 83 | 84 | 93 | 88 | 89 | 89 | 90 | 89 | 90 | 87 | 67 | 66 | 8 | 50 | 0 | 0 | 27 | 4 | 3,000,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Stuart Skinner (R) | 100.00 | 85 | 84 | 84 | 86 | 85 | 86 | 85 | 86 | 85 | 85 | 85 | 78 | 71 | 8 | 50 | 0 | 0 | 25 | 3 | 1,467,000$ | |
2 | Felix Sandström (R) | 100.00 | 85 | 81 | 83 | 84 | 88 | 86 | 86 | 88 | 87 | 87 | 84 | 68 | 69 | 8 | 50 | 0 | 0 | 26 | 1 | 1,500,000$ | |
3 | Michael DiPietro (R) | 99.00 | 89 | 87 | 87 | 84 | 93 | 89 | 89 | 88 | 90 | 89 | 86 | 76 | 72 | 9 | 50 | 0 | 0 | 24 | 2 | 1,550,000$ | |
TEAM AVERAGE | 100.00 | 90 | 87 | 88 | 91 | 93 | 91 | 92 | 93 | 92 | 94 | 90 | 80 | 78 | 9 | 50 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Tortorella | 88 | 88 | 86 | 92 | 89 | 83 | 70 | USA | 66 | 1 | 2,350,000$ |
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 | Brayden Point | New York Rangers | C | 10 | 4 | 5 | 9 | 6 | 0 | 0 | 16 | 5 | 40 | 10 | 29 | 10.00% | 1 | 193 | 19.31 | 0 | 1 | 1 | 8 | 32 | 0 | 0 | 0 | 1 | 10 | 0 | 0 | 48.45% | 161 | 18 | 2 | 0 | 0 | 0.93 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 |
2 | Travis Konecny | New York Rangers | LW/RW | 10 | 1 | 7 | 8 | 6 | 4 | 0 | 11 | 1 | 36 | 10 | 16 | 2.78% | 3 | 175 | 17.59 | 0 | 1 | 1 | 5 | 32 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 44.44% | 9 | 13 | 4 | 0 | 0 | 0.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3 | Dylan Cozens | New York Rangers | C | 10 | 3 | 4 | 7 | 0 | 2 | 0 | 24 | 6 | 23 | 7 | 10 | 13.04% | 0 | 169 | 16.95 | 2 | 1 | 3 | 2 | 28 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 52.10% | 119 | 8 | 3 | 0 | 0 | 0.83 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
4 | Vince Hinostroza | New York Rangers | C/LW/RW | 10 | 0 | 7 | 7 | 0 | 0 | 0 | 7 | 5 | 19 | 5 | 16 | 0.00% | 2 | 172 | 17.21 | 0 | 3 | 3 | 6 | 28 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 8 | 11 | 3 | 0 | 0 | 0.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | JJ Peterka | New York Rangers | C/LW/RW | 10 | 4 | 3 | 7 | 5 | 4 | 0 | 12 | 3 | 15 | 4 | 4 | 26.67% | 2 | 170 | 17.05 | 1 | 2 | 3 | 4 | 27 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 75.00% | 4 | 4 | 1 | 1 | 0 | 0.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6 | Viktor Arvidsson | New York Rangers | LW/RW | 10 | 4 | 3 | 7 | 2 | 0 | 0 | 12 | 4 | 18 | 12 | 17 | 22.22% | 1 | 168 | 16.84 | 1 | 0 | 1 | 3 | 32 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 25.00% | 4 | 13 | 1 | 0 | 0 | 0.83 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
7 | Tobias Rieder | New York Rangers | C/LW/RW | 10 | 3 | 2 | 5 | 5 | 0 | 0 | 2 | 7 | 22 | 8 | 10 | 13.64% | 1 | 146 | 14.69 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 45.74% | 94 | 13 | 3 | 0 | 0 | 0.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8 | Ivan Provorov | New York Rangers | D | 10 | 2 | 2 | 4 | 6 | 6 | 0 | 20 | 18 | 18 | 12 | 6 | 11.11% | 12 | 224 | 22.48 | 0 | 1 | 1 | 3 | 38 | 0 | 0 | 0 | 1 | 16 | 0 | 0 | 0.00% | 0 | 5 | 8 | 0 | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
9 | Brandon Carlo | New York Rangers | D | 10 | 1 | 2 | 3 | 5 | 16 | 0 | 18 | 13 | 11 | 1 | 4 | 9.09% | 14 | 198 | 19.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 13 | 0 | 0 | 0.30 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
10 | Ryan McDonagh | New York Rangers | D | 10 | 1 | 2 | 3 | -1 | 10 | 0 | 22 | 18 | 13 | 5 | 7 | 7.69% | 19 | 229 | 22.93 | 1 | 0 | 1 | 4 | 23 | 0 | 0 | 0 | 0 | 27 | 1 | 0 | 0.00% | 0 | 1 | 9 | 0 | 0 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Tyler Bertuzzi | New York Rangers | LW/RW | 10 | 0 | 3 | 3 | 4 | 2 | 0 | 26 | 9 | 27 | 4 | 16 | 0.00% | 3 | 160 | 16.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 39 | 0 | 0 | 87.50% | 8 | 16 | 2 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Gustav Forsling | New York Rangers | D | 10 | 1 | 2 | 3 | -1 | 4 | 0 | 14 | 27 | 11 | 11 | 2 | 9.09% | 9 | 218 | 21.84 | 0 | 0 | 0 | 2 | 23 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 1 | 8 | 0 | 0 | 0.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Ryan Donato | New York Rangers | C/LW | 10 | 1 | 1 | 2 | -1 | 0 | 0 | 2 | 9 | 17 | 3 | 10 | 5.88% | 1 | 139 | 14.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 38 | 0 | 0 | 46.96% | 115 | 3 | 4 | 0 | 0 | 0.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Conor Timmins | New York Rangers | D | 10 | 0 | 1 | 1 | 5 | 4 | 0 | 12 | 15 | 11 | 3 | 2 | 0.00% | 10 | 169 | 16.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 1 | 4 | 0 | 0 | 0.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Nikolay Goldobin | New York Rangers | LW/RW | 10 | 0 | 1 | 1 | -1 | 2 | 0 | 3 | 3 | 15 | 2 | 11 | 0.00% | 1 | 102 | 10.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 15 | 0 | 0 | 0 | 0.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Jakob Chychrun | New York Rangers | D | 10 | 0 | 1 | 1 | 6 | 8 | 0 | 29 | 16 | 21 | 11 | 4 | 0.00% | 14 | 226 | 22.67 | 0 | 0 | 0 | 4 | 37 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 4 | 15 | 0 | 0 | 0.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Jason Robertson | New York Rangers | LW/RW | 10 | 1 | 0 | 1 | -1 | 4 | 0 | 8 | 3 | 5 | 4 | 2 | 20.00% | 2 | 100 | 10.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 25.00% | 4 | 9 | 1 | 0 | 0 | 0.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Mark Stone | New York Rangers | RW | 10 | 1 | 0 | 1 | 5 | 0 | 0 | 10 | 4 | 16 | 3 | 6 | 6.25% | 0 | 127 | 12.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 6 | 2 | 0 | 0 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Team Total or Average | 180 | 27 | 46 | 73 | 50 | 66 | 0 | 248 | 166 | 338 | 115 | 172 | 7.99% | 95 | 3094 | 17.19 | 5 | 9 | 14 | 42 | 306 | 0 | 0 | 0 | 7 | 209 | 6 | 1 | 48.96% | 531 | 141 | 83 | 1 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 6 |
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 | Andrey Vasilevskiy | New York Rangers | 10 | 6 | 2 | 2 | 0.936 | 1.81 | 629 | 0 | 0 | 19 | 296 | 158 | 0 | 0 | 0.000 | 0 | 10 | 0 | 2 | 0 | 2 |
Team Total or Average | 10 | 6 | 2 | 2 | 0.936 | 1.81 | 629 | 0 | 0 | 19 | 296 | 158 | 0 | 0 | 0.000 | 0 | 10 | 0 | 2 | 0 | 2 |
Player Name | POS | Age | Birthday | Terms | Contract | Cap % | Year 2023 | Year 2024 | Year 2025 | Year 2026 | Year 2027 | Year 2028 | Year 2029 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Forward | |||||||||||||
Brayden Point | C | 27 | 1995-01-22 07:49:20 | TW | 5 | 11.21% | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | UFA [Age: 32] | |
Christian Fischer | C/LW | 26 | 1996-01-22 07:42:31 | TW | 4 | 2.30% | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA [Age: 30] | ||
Dylan Cozens | C | 22 | 2000-01-02 12:11:51 | TW | 4 | 7.47% | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | RFA ( Groupe: 2 ) [Age: 26] | ||
JJ Peterka | C/LW/RW | 21 | 2001-01-02 23:09:02 | TW | 3 | 1.09% | 950,000$ | 950,000$ | 950,000$ | RFA ( Groupe: 2 ) [Age: 24] | |||
Jason Robertson | LW/RW | 24 | 1998-01-22 08:01:30 | TW | 3 | 2.76% | 2,400,000$ | 2,400,000$ | 2,400,000$ | RFA ( Groupe: 2 ) [Age: 27] | |||
Mark Stone | RW | 31 | 1991-01-22 12:19:39 | TW | 1 | 8.05% | 7,000,000$ | UFA [Age: 32] | |||||
Nikolay Goldobin | LW/RW | 28 | 1994-01-02 08:27:40 | TW | 1 | 2.41% | 2,100,000$ | UFA [Age: 29] | |||||
Ryan Donato | C/LW | 27 | 1995-01-22 04:37:31 | TW | 3 | 2.76% | 2,400,000$ | 2,400,000$ | 2,400,000$ | UFA [Age: 30] | |||
Tobias Rieder | C/LW/RW | 30 | 1992-01-22 10:48:23 | TW | 1 | 4.14% | 3,600,000$ | UFA [Age: 31] | |||||
Travis Konecny | LW/RW | 26 | 1996-01-02 05:08:25 | TW | 4 | 8.05% | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA [Age: 30] | ||
Tyler Bertuzzi | LW/RW | 28 | 1994-01-22 04:02:53 | TW | 5 | 6.32% | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA [Age: 33] | |
Viktor Arvidsson | LW/RW | 30 | 1992-01-22 07:14:17 | TW | 1 | 3.85% | 3,350,000$ | UFA [Age: 31] | |||||
Vince Hinostroza | C/LW/RW | 29 | 1993-01-22 06:19:02 | TW | 1 | 4.89% | 4,250,000$ | UFA [Age: 30] | |||||
Walker Duehr | RW | 26 | 1996-01-02 19:15:46 | TW | 1 | 1.03% | 900,000$ | RFA ( Groupe: 2 ) [Age: 27] | |||||
AVERAGE (14) | 26.79 | 66.32% | 57,700,000$ | 36,500,000$ | 36,500,000$ | 30,750,000$ | 15,250,000$ | 0$ | 0$ | ||||
Defenseman | |||||||||||||
Brandon Carlo | D | 27 | 1995-01-22 04:43:10 | TW | 4 | 5.40% | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | UFA [Age: 31] | ||
Conor Timmins | D | 25 | 1997-01-02 18:47:18 | TW | 1 | 1.44% | 1,250,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
Gustav Forsling | D | 27 | 1995-01-22 01:20:49 | TW | 6 | 6.61% | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA [Age: 33] |
Ivan Provorov | D | 26 | 1996-01-22 04:51:50 | TW | 5 | 5.17% | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA [Age: 31] | |
Jakob Chychrun | D | 25 | 1997-01-22 06:33:03 | TW | 1 | 6.32% | 5,500,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
Josh Mahura | D | 25 | 1997-01-22 14:36:29 | TW | 2 | 1.84% | 1,600,000$ | 1,600,000$ | RFA ( Groupe: 2 ) [Age: 27] | ||||
Ryan McDonagh | D | 34 | 1988-01-22 06:29:38 | TW | 4 | 6.90% | 6,500,000$ | 6,000,000$ | 5,500,000$ | 5,000,000$ | UFA [Age: 38] | ||
AVERAGE (7) | 27.00 | 33.68% | 29,300,000$ | 22,550,000$ | 20,950,000$ | 20,950,000$ | 10,250,000$ | 5,750,000$ | 0$ | ||||
Goalies | |||||||||||||
Adin Hill | G | 27 | 1995-01-22 03:43:06 | TW | 4 | 3.45% | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA [Age: 31] | ||
Andrey Vasilevskiy | G | 29 | 1993-01-22 08:35:53 | TW | 3 | 9.20% | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA [Age: 32] | |||
AVERAGE (2) | 28.00 | 12.64% | 11,000,000$ | 11,000,000$ | 11,000,000$ | 3,000,000$ | 0$ | 0$ | 0$ | ||||
Special Salary Cap Value | -3,000,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||||
TOTAL (23) | 109.20% | 95,000,000$ | 70,050,000$ | 68,450,000$ | 54,700,000$ | 25,500,000$ | 5,750,000$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Peterka
77
|
Point
21
|
Konecny
11
| |||||
Arvidsson
33
|
Cozens
24
|
Hinostroza
0
| |||||
Bertuzzi
59
|
Rieder
0
|
Stone
61
| |||||
Goldobin
76
|
Donato
16
|
Robertson
22
|
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
McDonagh
27
|
Forsling
42
| ||||||
Chychrun
6
|
Provorov
8
| ||||||
Carlo
26
|
Timmins
0
| ||||||
Carlo
26
|
Timmins
0
|
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Konecny
11
|
Point
21
|
Arvidsson
33
| |||||
Peterka
77
|
Cozens
24
|
Hinostroza
0
|
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Provorov
8
|
Chychrun
6
| ||||||
McDonagh
27
|
Forsling
42
|
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Donato
16
|
Bertuzzi
59
| |||||
Point
21
|
Rieder
0
|
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Carlo
26
|
McDonagh
27
| |||||
Forsling
42
|
Chychrun
6
|
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Wing | Defense | Defense | |||||||||
Point
21
|
Carlo
26
|
McDonagh
27
| |||||||||
Bertuzzi
59
|
Forsling
42
|
Chychrun
6
|
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Rieder
0
|
Bertuzzi
59
| |||||
Donato
16
|
Robertson
22
|
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Timmins
0
|
Forsling
42
| |||||
Carlo
26
|
Chychrun
6
|
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Travis Konecny | Brayden Point | Viktor Arvidsson | Ivan Provorov | Jakob Chychrun |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Tyler Bertuzzi | Brayden Point | Tobias Rieder | Brandon Carlo | Gustav Forsling |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Brayden Point, Nikolay Goldobin, JJ Peterka | Tobias Rieder, Mark Stone | Travis Konecny |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Gustav Forsling, Jakob Chychrun, Ryan McDonagh | Brandon Carlo | Ivan Provorov, Conor Timmins |
Penalty Shots |
---|
Travis Konecny, Brayden Point, Viktor Arvidsson, Dylan Cozens, JJ Peterka |
Goalie |
---|
#1 : Andrey Vasilevskiy, #2 : Adin Hill |
Custom OT Lines Forwards |
---|
Brayden Point, Travis Konecny, Dylan Cozens, Viktor Arvidsson, JJ Peterka, Vince Hinostroza, Vince Hinostroza, Mark Stone, Tyler Bertuzzi, Tobias Rieder, Nikolay Goldobin |
Custom OT Lines Defensemen |
---|
Ivan Provorov, Jakob Chychrun, Gustav Forsling, Brandon Carlo, Conor Timmins |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 | Montreal Canadiens | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 10 | 8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 8 | 0.800 | 18 | 33 | 51 | 0 | 0 | 6 | 3 | 9 | 0 | 167 | 49 | 66 | 52 | 0 | 147 | 42 | 34 | 118 | 18 | 3 | 16.67% | 17 | 3 | 82.35% | 0 | 119 | 224 | 53.13% | 91 | 197 | 46.19% | 50 | 110 | 45.45% | 119 | 80 | 109 | 37 | 70 | 36 |
2 | Ottawa Senators | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 4 | 0.400 | 9 | 13 | 22 | 0 | 0 | 3 | 2 | 3 | 1 | 171 | 48 | 59 | 54 | 10 | 149 | 53 | 32 | 130 | 18 | 2 | 11.11% | 16 | 4 | 75.00% | 0 | 119 | 224 | 53.13% | 91 | 197 | 46.19% | 50 | 110 | 45.45% | 132 | 88 | 113 | 42 | 84 | 43 |
Total | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 27 | 19 | 8 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 14 | 0 | 12 | 0.600 | 27 | 46 | 73 | 0 | 0 | 9 | 5 | 12 | 1 | 338 | 97 | 125 | 106 | 10 | 296 | 95 | 66 | 248 | 36 | 5 | 13.89% | 33 | 7 | 78.79% | 0 | 119 | 224 | 53.13% | 91 | 197 | 46.19% | 50 | 110 | 45.45% | 252 | 169 | 223 | 80 | 154 | 79 | |
_Since Last GM Reset | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 27 | 19 | 8 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 14 | 0 | 12 | 0.600 | 27 | 46 | 73 | 0 | 0 | 9 | 5 | 12 | 1 | 338 | 97 | 125 | 106 | 10 | 296 | 95 | 66 | 248 | 36 | 5 | 13.89% | 33 | 7 | 78.79% | 0 | 119 | 224 | 53.13% | 91 | 197 | 46.19% | 50 | 110 | 45.45% | 252 | 169 | 223 | 80 | 154 | 79 | |
_Vs Conference | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 27 | 19 | 8 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 14 | 0 | 12 | 0.600 | 27 | 46 | 73 | 0 | 0 | 9 | 5 | 12 | 1 | 338 | 97 | 125 | 106 | 10 | 296 | 95 | 66 | 248 | 36 | 5 | 13.89% | 33 | 7 | 78.79% | 0 | 119 | 224 | 53.13% | 91 | 197 | 46.19% | 50 | 110 | 45.45% | 252 | 169 | 223 | 80 | 154 | 79 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
10 | 12 | OTL1 | 27 | 46 | 73 | 338 | 296 | 95 | 66 | 248 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 6 | 4 | 0 | 0 | 0 | 0 | 27 | 19 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 4 | 0 | 0 | 0 | 0 | 0 | 13 | 5 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
6 | 2 | 4 | 0 | 0 | 0 | 0 | 14 | 14 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
6 | 2 | 0 | 2 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
36 | 5 | 13.89% | 33 | 7 | 78.79% | 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 |
---|---|---|---|---|---|---|---|
97 | 125 | 106 | 10 | 9 | 5 | 12 | 1 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
119 | 224 | 53.13% | 91 | 197 | 46.19% | 50 | 110 | 45.45% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
252 | 169 | 223 | 80 | 154 | 79 |
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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|---|---|---|---|---|---|---|---|---|---|
Day:1 | ||||||||||
1 | 1 | New York Rangers | 2 | Montreal Canadiens | 3 | L | BoxScore | |||
Day:3 | ||||||||||
3 | 9 | New York Rangers | 5 | Montreal Canadiens | 3 | W | BoxScore | |||
Day:5 | ||||||||||
5 | 17 | Montreal Canadiens | 1 | New York Rangers | 3 | W | BoxScore | |||
Day:7 | ||||||||||
7 | 25 | Montreal Canadiens | 2 | New York Rangers | 4 | W | BoxScore | |||
Day:9 | ||||||||||
9 | 33 | New York Rangers | 4 | Montreal Canadiens | 1 | W | BoxScore | |||
Day:15 | ||||||||||
15 | 57 | New York Rangers | 0 | Ottawa Senators | 2 | L | BoxScore | |||
Day:17 | ||||||||||
17 | 61 | New York Rangers | 1 | Ottawa Senators | 2 | L | X | BoxScore | ||
Day:19 | ||||||||||
19 | 65 | Ottawa Senators | 1 | New York Rangers | 4 | W | BoxScore | |||
Day:21 | ||||||||||
21 | 69 | Ottawa Senators | 1 | New York Rangers | 2 | W | X | BoxScore | ||
Day:23 | ||||||||||
23 | 73 | New York Rangers | 2 | Ottawa Senators | 3 | L | X | BoxScore | ||
Day:25 | ||||||||||
25 | 77 | Ottawa Senators | - | New York Rangers | - | |||||
Day:27 | ||||||||||
27 | 81 | New York Rangers | - | Ottawa Senators | - |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
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 | Lien |
---|---|---|---|---|
Albin Grewe | New York Rangers | 2019 | 84 | Lien DobberProspects |
Angus Booth | New York Rangers | 2022 | 197 | Lien DobberProspects |
Anton Johannesson | New York Rangers | 2020 | 75 | Lien DobberProspects |
Dmitri Simashev | New York Rangers | 2023 | 37 | Lien DobberProspects |
Drew Helleson | New York Rangers | 2019 | 63 | Lien DobberProspects |
Dustin Wolf* | New York Rangers | 2019 | 140 | Lien DobberProspects |
Eamon Powell | New York Rangers | 2020 | 125 | Lien DobberProspects |
Frank Nazar | New York Rangers | 2022 | 7 | Lien DobberProspects |
Gavin McCarthy | New York Rangers | 2023 | 92 | Lien DobberProspects |
Hoyt Stanley | New York Rangers | 2023 | 126 | Lien DobberProspects |
Hugo Alnefelt | New York Rangers | 2019 | 89 | Lien DobberProspects |
Jagger Firkus | New York Rangers | 2022 | 23 | Lien DobberProspects |
Jan Jenik* | New York Rangers | 2018 | 88 | Lien DobberProspects |
Jimmy Snuggerud | New York Rangers | 2022 | 21 | Lien DobberProspects |
Jiri Kulich | New York Rangers | 2022 | 27 | Lien DobberProspects |
Lukas Dostal | New York Rangers | 2018 | 106 | Lien DobberProspects |
Lukas Reichel | New York Rangers | 2020 | 29 | Lien DobberProspects |
Nico Daws | New York Rangers | 2020 | 95 | Lien DobberProspects |
Nico Gross | New York Rangers | 2018 | 127 | Lien DobberProspects |
Noah Östlund | New York Rangers | 2022 | 30 | Lien DobberProspects |
Olen Zellweger | New York Rangers | 2021 | 44 | Lien DobberProspects |
Pascal Laberge | New York Rangers | 2016 | 39 | Lien DobberProspects |
Paul Ludwinski | New York Rangers | 2022 | 63 | Lien DobberProspects |
Quinton Burns | New York Rangers | 2023 | 109 | Lien DobberProspects |
Rutger McGroarty | New York Rangers | 2022 | 22 | Lien DobberProspects |
Samuel Johannesson | New York Rangers | 2020 | 161 | Lien DobberProspects |
Scott Morrow | New York Rangers | 2021 | 49 | Lien DobberProspects |
Scott Perunovich | New York Rangers | 2018 | 62 | Lien DobberProspects |
Sebastian Cossa | New York Rangers | 2021 | 26 | Lien DobberProspects |
Slava Demin | New York Rangers | 2018 | 120 | Lien DobberProspects |
Tom Willander | New York Rangers | 2023 | 24 | Lien DobberProspects |
Tomas Hamara | New York Rangers | 2022 | 73 | Lien DobberProspects |
Tristen Robins | New York Rangers | 2020 | 126 | Lien DobberProspects |
Tyce Thompson | New York Rangers | 2019 | 104 | Lien DobberProspects |
Zeb Forsfjäll | New York Rangers | 2023 | 175 | Lien DobberProspects |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |