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Full Scoreboard »» |
New York Rangers 21-26-8, 50pts · 11th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 80 | 58 | 73 | 74 | 90 | 83 | 89 | 72 | 71 | 73 | 77 | 65 | 76 | 78 | 91 | 0 | 29 | 85 | 30 | 7,000,000$/6yrs | |||
![]() | 73 | RW | 100.00 | 59 | 43 | 86 | 76 | 74 | 82 | 89 | 73 | 56 | 71 | 74 | 69 | 76 | 75 | 72 | 0 | 34 | 82 | 28 | 4,250,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 42 | 85 | 71 | 82 | 76 | 89 | 69 | 53 | 70 | 74 | 58 | 69 | 75 | 71 | 0 | 31 | 81 | 28 | 3,500,000$/3yrs | |||
![]() | 9 | C/LW | 100.00 | 84 | 54 | 79 | 65 | 99 | 73 | 80 | 63 | 79 | 61 | 70 | 75 | 63 | 86 | 77 | 0 | 34 | 81 | 35 | 2,200,000$/2yrs | |||
![]() | 20 | C | 100.00 | 74 | 39 | 87 | 68 | 71 | 78 | 83 | 67 | 84 | 69 | 70 | 78 | 66 | 77 | 69 | 0 | 33 | 81 | 29 | 3,800,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 39 | 80 | 72 | 69 | 77 | 89 | 73 | 54 | 76 | 69 | 62 | 73 | 69 | 68 | 0 | 29 | 81 | 24 | 5,250,000$/6yrs | |||
![]() | 10 | C/LW/RW | 100.00 | 53 | 38 | 86 | 68 | 67 | 82 | 88 | 66 | 83 | 72 | 65 | 81 | 66 | 84 | 74 | 0 | 33 | 80 | 33 | 3,125,000$/1yrs | |||
![]() | 36 | C/RW | 100.00 | 58 | 42 | 80 | 73 | 71 | 81 | 84 | 71 | 82 | 74 | 66 | 62 | 73 | 65 | 63 | 0 | 36 | 79 | 23 | 3,800,000$/3yrs | |||
![]() | 81 | C | 100.00 | 70 | 39 | 89 | 67 | 75 | 79 | 84 | 66 | 82 | 69 | 61 | 74 | 67 | 86 | 76 | 0 | 33 | 79 | 36 | 5,250,000$/2yrs | |||
![]() | 44 | LW/RW | 100.00 | 81 | 52 | 64 | 73 | 79 | 82 | 84 | 68 | 53 | 67 | 66 | 62 | 70 | 69 | 65 | 0 | 33 | 79 | 25 | 2,750,000$/2yrs | |||
![]() | 28 | C/RW | 100.00 | 59 | 38 | 89 | 71 | 75 | 72 | 88 | 69 | 75 | 68 | 64 | 62 | 71 | 65 | 63 | 0 | 33 | 77 | 23 | 3,000,000$/2yrs | |||
![]() | 61 | RW | 100.00 | 58 | 39 | 85 | 67 | 70 | 76 | 73 | 69 | 57 | 68 | 63 | 61 | 72 | 65 | 66 | 0 | 33 | 76 | 23 | 1,300,000$/2yrs | |||
![]() | 23 | D | 100.00 | 74 | 42 | 86 | 67 | 79 | 87 | 80 | 66 | 30 | 74 | 61 | 76 | 53 | 82 | 73 | 0 | 33 | 82 | 33 | 4,000,000$/1yrs | |||
![]() | 25 | D | 100.00 | 62 | 39 | 84 | 66 | 76 | 87 | 89 | 64 | 30 | 75 | 57 | 83 | 51 | 73 | 67 | 0 | 33 | 82 | 27 | 4,166,667$/1yrs | |||
![]() | 33 | D | 100.00 | 83 | 40 | 77 | 67 | 76 | 84 | 81 | 66 | 30 | 77 | 56 | 63 | 52 | 75 | 69 | 0 | 33 | 80 | 27 | 3,875,000$/2yrs | |||
![]() | 0 | D | 100.00 | 81 | 45 | 83 | 64 | 78 | 83 | 80 | 63 | 30 | 71 | 59 | 62 | 53 | 71 | 66 | 0 | 34 | 78 | 26 | 1,850,000$/2yrs | |||
![]() | 4 | D | 100.00 | 59 | 42 | 90 | 67 | 79 | 86 | 72 | 65 | 30 | 73 | 58 | 61 | 50 | 78 | 66 | 0 | 29 | 78 | 30 | 3,800,000$/3yrs | |||
![]() | 2 | D | 100.00 | 59 | 42 | 87 | 65 | 72 | 78 | 71 | 63 | 30 | 64 | 62 | 61 | 55 | 67 | 64 | 0 | 33 | 76 | 24 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 44 | D | 100.00 | 64 | 43 | 87 | 61 | 72 | 77 | 68 | 63 | 30 | 60 | 59 | 58 | 55 | 80 | 72 | 0 | 19 | 75 | 32 | 1,000,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 68 | 43 | 83 | 69 | 77 | 80 | 82 | 67 | 55 | 70 | 65 | 67 | 64 | 75 | 70 | 0 | 32 | 80 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 34 | 100.00 | 86 | 77 | 75 | 81 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 78 | 84 | 0 | 28 | 85 | 30 | 4,350,000$/1yrs |
![]() | 70 | 100.00 | 85 | 95 | 93 | 82 | 84 | 83 | 85 | 84 | 83 | 85 | 84 | 71 | 75 | 0 | 19 | 85 | 26 | 1,600,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 86 | 86 | 84 | 82 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 75 | 80 | 0 | 24 | 85 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Tippett | 77 | 79 | 79 | 78 | 87 | 81 | 59 | CAN | 58 | 2 | 500,000$ |
General Manager | Michael Imbeault |
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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 | Kevin Labanc | 0 | LW/RW | 55 | 11 | 28 | 39 | -8 | 29 | 5 | 66 | 120 | 38 | 81 | 9.17% | 6 | 21.12 | 2 | 7 | 9 | 188 | 0 | 2 | 2 | 106 | 3 | 0 | 36.86% | 1031 | 0 | 0 | 0 | 0 | 0.67 | 0 | 6 | ||
2 | Jonas Brodin | 25 | D | 55 | 8 | 25 | 33 | -7 | 14 | 0 | 32 | 87 | 27 | 66 | 9.20% | 130 | 25.60 | 4 | 9 | 13 | 206 | 1 | 1 | 2 | 199 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
3 | Colin White | 36 | C/RW | 55 | 12 | 18 | 30 | -15 | 7 | 5 | 41 | 124 | 17 | 77 | 9.68% | 5 | 16.42 | 2 | 9 | 11 | 175 | 0 | 0 | 0 | 2 | 3 | 1 | 52.36% | 1060 | 0 | 0 | 0 | 0 | 0.66 | 1 | 1 | ||
4 | Anders Lee | 0 | LW | 55 | 11 | 16 | 27 | -16 | 75 | 15 | 145 | 109 | 45 | 107 | 10.09% | 6 | 18.04 | 2 | 4 | 6 | 181 | 0 | 0 | 0 | 17 | 4 | 1 | 41.51% | 106 | 0 | 0 | 0 | 0 | 0.54 | 0 | 1 | ||
5 | Tyler Toffoli | 73 | RW | 55 | 14 | 13 | 27 | -19 | 13 | 5 | 29 | 160 | 40 | 112 | 8.75% | 11 | 21.73 | 3 | 2 | 5 | 197 | 0 | 1 | 1 | 220 | 2 | 0 | 44.79% | 96 | 0 | 0 | 0 | 0 | 0.45 | 2 | 5 | ||
6 | Alec Martinez | 23 | D | 55 | 9 | 15 | 24 | -17 | 84 | 0 | 164 | 80 | 33 | 67 | 11.25% | 80 | 23.22 | 4 | 5 | 9 | 205 | 0 | 1 | 1 | 205 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
7 | Jack Roslovic | 28 | C/RW | 55 | 11 | 11 | 22 | -4 | 12 | 0 | 33 | 126 | 32 | 67 | 8.73% | 19 | 18.31 | 6 | 1 | 7 | 172 | 0 | 0 | 0 | 0 | 2 | 1 | 41.38% | 58 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
8 | Cody Eakin | 20 | C | 55 | 7 | 10 | 17 | -6 | 6 | 0 | 38 | 118 | 22 | 91 | 5.93% | 23 | 14.87 | 0 | 0 | 0 | 1 | 1 | 1 | 2 | 254 | 0 | 0 | 49.91% | 1106 | 0 | 0 | 0 | 0 | 0.42 | 1 | 1 | ||
9 | Justin Schultz | 4 | D | 55 | 5 | 12 | 17 | -9 | 25 | 5 | 37 | 56 | 12 | 21 | 8.93% | 52 | 20.28 | 2 | 4 | 6 | 165 | 1 | 0 | 1 | 179 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
10 | Colin Miller | 33 | D | 55 | 0 | 15 | 15 | -2 | 104 | 0 | 177 | 41 | 14 | 27 | 0.00% | 50 | 22.39 | 0 | 6 | 6 | 167 | 0 | 0 | 0 | 156 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
11 | Brett Kulak | 0 | D | 56 | 0 | 14 | 14 | 2 | 69 | 5 | 123 | 9 | 8 | 13 | 0.00% | 47 | 15.95 | 0 | 1 | 1 | 10 | 0 | 1 | 1 | 106 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
12 | Miles Wood | 44 | LW/RW | 55 | 8 | 6 | 14 | -5 | 40 | 0 | 88 | 66 | 13 | 44 | 12.12% | 0 | 9.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 22.73% | 44 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
13 | Brian Boyle | 9 | C/LW | 55 | 8 | 5 | 13 | -2 | 13 | 5 | 123 | 77 | 23 | 49 | 10.39% | 6 | 12.81 | 3 | 4 | 7 | 203 | 1 | 0 | 1 | 124 | 0 | 0 | 52.49% | 482 | 0 | 0 | 0 | 0 | 0.37 | 2 | 5 | ||
14 | Brett Connolly | 0 | LW/RW | 55 | 6 | 6 | 12 | -3 | 29 | 5 | 49 | 74 | 25 | 50 | 8.11% | 5 | 14.33 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 2 | 1 | 0 | 43.10% | 58 | 0 | 0 | 0 | 1 | 0.30 | 0 | 0 | ||
15 | Derek Ryan | 10 | C/LW/RW | 55 | 3 | 3 | 6 | 1 | 0 | 0 | 5 | 42 | 15 | 35 | 7.14% | 6 | 6.28 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 24 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
16 | Frans Nielsen | 81 | C | 55 | 1 | 5 | 6 | 3 | 6 | 0 | 18 | 34 | 11 | 34 | 2.94% | 7 | 7.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 1 | 0 | 49.89% | 447 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
17 | Troy Terry | 61 | RW | 55 | 1 | 5 | 6 | -5 | 2 | 0 | 8 | 73 | 21 | 44 | 1.37% | 4 | 10.71 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 0 | 0 | 0 | 34.38% | 64 | 0 | 0 | 0 | 0 | 0.20 | 1 | 2 | ||
18 | Gustav Forsling | 2 | D | 55 | 1 | 3 | 4 | -10 | 22 | 0 | 35 | 25 | 4 | 15 | 4.00% | 48 | 14.75 | 0 | 0 | 0 | 22 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | ||
19 | Steven Kampfer | 44 | D | 19 | 0 | 2 | 2 | -11 | 14 | 0 | 23 | 4 | 1 | 1 | 0.00% | 13 | 13.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
Team Total or Average | 1010 | 116 | 212 | 328 | -133 | 564 | 50 | 1234 | 1425 | 401 | 1001 | 8.14% | 518 | 16.29 | 28 | 53 | 81 | 1934 | 4 | 7 | 11 | 1679 | 17 | 4 | 46.83% | 4576 | 0 | 0 | 0 | 1 | 0.40 | 7 | 21 |
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 | Joonas Korpisalo | 43 | 15 | 20 | 7 | 0.906 | 2.87 | 2446 | 2 | 1 | 117 | 1248 | 0 | 3 | 1 | 0.636 | 11 | 42 | 13 | 4 | 2 | 2 | |
2 | Jake Allen | 17 | 6 | 6 | 1 | 0.910 | 2.62 | 895 | 0 | 1 | 39 | 432 | 0 | 1 | 0 | 0.727 | 11 | 13 | 42 | 2 | 0 | 1 | |
Team Total or Average | 60 | 21 | 26 | 8 | 0.907 | 2.80 | 3342 | 2 | 2 | 156 | 1680 | 0 | 4 | 1 | 0.682 | 22 | 55 | 55 | 6 | 2 | 3 |
Projected Total Cap Hit | 70,866,667$ |
Projected Cap Space | 10,633,333$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 45,652,178$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Rangers Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Martinez | D | 33 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Anders Lee | LW | 30 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |
Brett Connolly | LW/RW | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Brett Kulak | D | 26 | 1,850,000$ | 1,850,000$ | 1,850,000$ | UFA | |||||
Brian Boyle | C/LW | 35 | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | |||||
Cody Eakin | C | 29 | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | UFA | ||||
Colin Miller | D | 27 | 3,875,000$ | 3,875,000$ | 3,875,000$ | UFA | |||||
Colin White | C/RW | 23 | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | ![]() | ||||
Derek Ryan | C/LW/RW | 33 | 3,125,000$ | 3,125,000$ | UFA | ||||||
Frans Nielsen | C | 36 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||||
Gustav Forsling ![]() | D | 24 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Jack Roslovic | C/RW | 23 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ![]() | |||||
Jake Allen | G | 30 | 4,350,000$ | 4,350,000$ | UFA | ||||||
Jonas Brodin | D | 27 | 4,166,667$ | 4,166,667$ | ![]() | ||||||
Joonas Korpisalo | G | 26 | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||||
Justin Schultz | D | 30 | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | UFA | ||||
Kevin Labanc | LW/RW | 24 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |
Miles Wood | LW/RW | 25 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ![]() | |||||
Steven Kampfer ![]() | D | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Troy Terry | RW | 23 | 1,300,000$ | 1,300,000$ | 1,300,000$ | RFA | |||||
Tyler Toffoli | RW | 28 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Petrovic ![]() | D | 28 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Austin Strand ![]() | D | 23 | 700,000$ | 700,000$ | RFA | ||||||
Axel Jonsson-Fjallby ![]() | LW | 22 | 860,000$ | 860,000$ | RFA | ||||||
Bode Wilde ![]() | D | 20 | 778,333$ | 778,333$ | 778,333$ | RFA | |||||
Carsen Twarynski ![]() | LW | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
David Gustafsson ![]() | C | 20 | 817,500$ | 817,500$ | 817,500$ | RFA | |||||
Dominik Bokk ![]() | LW/RW | 20 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Drake Batherson ![]() | C | 22 | 736,666$ | 736,666$ | RFA | ||||||
Dryden Hunt ![]() | LW | 24 | 900,000$ | 900,000$ | ![]() | ||||||
Eeli Tolvanen ![]() | RW | 21 | 894,166$ | 894,166$ | RFA | ||||||
Emil Pettersson ![]() | C | 26 | 900,000$ | 900,000$ | ![]() | ||||||
Eric Cornel ![]() | C | 24 | 800,000$ | 800,000$ | ![]() | ||||||
Frederik Handemark ![]() | C | 27 | 792,500$ | 792,500$ | ![]() | ||||||
Grant Hutton ![]() | D | 25 | 925,000$ | 925,000$ | ![]() | ||||||
Jonathan Davidsson ![]() | RW | 23 | 768,333$ | 768,333$ | RFA | ||||||
Jordan Kyrou ![]() | C/RW | 22 | 758,333$ | 758,333$ | RFA | ||||||
Jordan Subban ![]() | D | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Jordy Bellerive ![]() | C | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Joseph Gambardella ![]() | C | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Joseph Woll ![]() | G | 22 | 800,000$ | 800,000$ | RFA | ||||||
Josh Brook ![]() | D | 21 | 795,000$ | 795,000$ | 795,000$ | RFA | |||||
Josh Norris ![]() | C | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Kasimir Kaskisuo ![]() | G | 27 | 850,000$ | 850,000$ | ![]() | ||||||
Matiss Kivlenieks ![]() | G | 24 | 700,000$ | 700,000$ | 700,000$ | ![]() | |||||
Nate Prosser ![]() | D | 34 | 700,000$ | 700,000$ | UFA | ||||||
Nils Hoglander ![]() | LW | 19 | 891,667$ | 891,667$ | 891,667$ | 891,667$ | RFA | ||||
Rasmus Kupari ![]() | C/LW/RW | 20 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Riley Barber ![]() | LW/RW | 26 | 900,000$ | 900,000$ | ![]() | ||||||
Samuel Fagemo ![]() | LW/RW | 20 | 809,167$ | 809,167$ | 809,167$ | RFA | |||||
Vili Saarijarvi ![]() | D | 23 | 850,000$ | 850,000$ | 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 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 3 | 1 | 1 | 0 | 48 | 11 | 16 | 21 | 0 | 60 | 17 | 13 | 58 | 10 | 2 | 20.00% | 4 | 0 | 100.00% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 42 | 27 | 53 | 15 | 24 | 12 | 37.5% | 10.4% | 91.7% | 102.1 | LUCKY | |
2 | 5 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 7 | 18 | -11 | 1 | 0.100 | 7 | 11 | 18 | 0 | 0 | 1 | 3 | 3 | 0 | 125 | 33 | 56 | 34 | 2 | 143 | 60 | 30 | 108 | 22 | 2 | 9.09% | 15 | 3 | 80.00% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 106 | 70 | 132 | 38 | 64 | 30 | 25.0% | 5.6% | 87.4% | 93.0 | Unlucky | |
3 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 2 | 0.250 | 7 | 12 | 19 | 0 | 0 | 4 | 2 | 1 | 0 | 92 | 31 | 31 | 30 | 0 | 109 | 38 | 46 | 81 | 15 | 1 | 6.67% | 23 | 2 | 91.30% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 85 | 56 | 102 | 30 | 51 | 24 | 35.3% | 7.6% | 88.1% | 95.7 | Unlucky | |
4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 95 | 26 | 23 | 46 | 0 | 90 | 28 | 33 | 67 | 13 | 1 | 7.69% | 14 | 3 | 78.57% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 71 | 49 | 72 | 21 | 35 | 17 | 62.5% | 6.3% | 93.3% | 99.6 | DULL | |
5 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 2 | 0.333 | 6 | 9 | 15 | 0 | 0 | 2 | 2 | 1 | 2 | 94 | 49 | 21 | 22 | 5 | 98 | 18 | 22 | 60 | 17 | 1 | 5.88% | 11 | 2 | 81.82% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 69 | 46 | 78 | 22 | 37 | 18 | 41.7% | 6.4% | 90.8% | 97.2 | Unlucky | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 19 | 9 | 6 | 4 | 0 | 32 | 15 | 12 | 20 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 21 | 13 | 26 | 6 | 12 | 6 | 16.7% | 5.3% | 81.3% | 86.5 | Unlucky | |
7 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 0 | 1 | 48 | 12 | 13 | 13 | 12 | 82 | 27 | 38 | 49 | 2 | 0 | 0.00% | 10 | 1 | 90.00% | 1 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 40 | 25 | 62 | 15 | 26 | 12 | 55.6% | 10.4% | 93.9% | 104.3 | LUCKY | |
8 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 4 | 1 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 52 | 16 | 15 | 21 | 0 | 50 | 22 | 18 | 42 | 13 | 2 | 15.38% | 7 | 0 | 100.00% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 46 | 32 | 50 | 15 | 24 | 12 | 42.9% | 9.6% | 92.0% | 101.6 | LUCKY | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 1 | 1 | 0 | 0 | 44 | 18 | 17 | 9 | 0 | 63 | 18 | 25 | 38 | 6 | 1 | 16.67% | 6 | 0 | 100.00% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 44 | 29 | 51 | 14 | 24 | 11 | 33.3% | 4.5% | 96.8% | 101.4 | DULL | |
10 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 2 | 1 | 4 | 0 | 96 | 24 | 25 | 47 | 0 | 93 | 19 | 31 | 75 | 14 | 4 | 28.57% | 11 | 3 | 72.73% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 65 | 46 | 79 | 22 | 35 | 16 | 27.3% | 7.3% | 88.2% | 95.5 | Unlucky | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 1 | 0 | 1 | 0 | 41 | 19 | 8 | 14 | 0 | 26 | 9 | 10 | 24 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 25 | 17 | 22 | 7 | 11 | 6 | 25.0% | 4.9% | 84.6% | 89.5 | Unlucky | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 0 | 2 | 0 | 24 | 11 | 3 | 10 | 0 | 17 | 9 | 2 | 20 | 8 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 25 | 19 | 21 | 7 | 12 | 6 | 100.0% | 8.3% | 100.0% | 108.3 | DULL | |
13 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 26 | 13 | 6 | 6 | 1 | 41 | 10 | 14 | 24 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 1 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 23 | 15 | 25 | 8 | 13 | 6 | 40.0% | 7.7% | 92.7% | 100.4 | DULL | |
14 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 1 | 3 | 45 | 16 | 12 | 15 | 9 | 67 | 16 | 22 | 43 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 1 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 44 | 29 | 53 | 14 | 26 | 13 | 50.0% | 11.1% | 92.5% | 103.6 | LUCKY | |
15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 26 | 11 | 8 | 6 | 4 | 26 | 9 | 39 | 22 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 25 | 17 | 25 | 8 | 13 | 6 | 50.0% | 7.7% | 88.5% | 96.2 | Unlucky | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 17 | 2 | 7 | 8 | 0 | 32 | 5 | 12 | 24 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 18 | 11 | 29 | 8 | 12 | 5 | 33.3% | 5.9% | 90.6% | 96.5 | Unlucky | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 25 | 7 | 14 | 4 | 0 | 43 | 10 | 6 | 17 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 19 | 12 | 28 | 7 | 12 | 5 | 25.0% | 4.0% | 90.7% | 94.7 | Unlucky | |
18 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 12 | 2 | 6 | 0.750 | 14 | 24 | 38 | 0 | 0 | 5 | 7 | 2 | 0 | 121 | 35 | 49 | 37 | 0 | 120 | 34 | 42 | 78 | 20 | 4 | 20.00% | 19 | 4 | 78.95% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 91 | 62 | 98 | 30 | 50 | 24 | 55.6% | 11.6% | 90.0% | 101.6 | FUN | |
19 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 2 | 2 | 3 | 2 | 58 | 16 | 24 | 18 | 4 | 60 | 16 | 10 | 39 | 9 | 1 | 11.11% | 5 | 1 | 80.00% | 1 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 48 | 33 | 50 | 15 | 26 | 13 | 63.6% | 13.8% | 91.7% | 105.5 | LUCKY | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 56 | 14 | 19 | 23 | 0 | 53 | 18 | 10 | 35 | 13 | 1 | 7.69% | 5 | 2 | 60.00% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 46 | 32 | 48 | 14 | 25 | 12 | 42.9% | 7.1% | 88.7% | 95.8 | Unlucky | |
21 | 3 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 6 | 7 | -1 | 3 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 1 | 3 | 1 | 66 | 16 | 28 | 21 | 5 | 117 | 30 | 34 | 72 | 8 | 2 | 25.00% | 16 | 3 | 81.25% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 66 | 44 | 78 | 23 | 41 | 19 | 50.0% | 9.1% | 94.0% | 103.1 | LUCKY | |
22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 25 | 8 | 9 | 8 | 0 | 24 | 6 | 10 | 19 | 6 | 2 | 33.33% | 5 | 2 | 60.00% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 22 | 14 | 25 | 6 | 12 | 6 | 33.3% | 12.0% | 83.3% | 95.3 | FUN | |
23 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 32 | 17 | 5 | 8 | 2 | 23 | 8 | 10 | 26 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 27 | 18 | 21 | 7 | 12 | 6 | 40.0% | 6.3% | 87.0% | 93.2 | Unlucky | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 26 | 14 | 7 | 5 | 0 | 36 | 14 | 10 | 23 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 19 | 12 | 28 | 7 | 12 | 6 | 66.7% | 7.7% | 91.7% | 99.4 | DULL | |
25 | 4 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 12 | 13 | -1 | 4 | 0.500 | 12 | 20 | 32 | 0 | 0 | 2 | 3 | 5 | 2 | 92 | 28 | 29 | 33 | 2 | 106 | 38 | 46 | 99 | 9 | 0 | 0.00% | 22 | 4 | 81.82% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 84 | 54 | 105 | 32 | 52 | 24 | 57.1% | 13.0% | 87.7% | 100.8 | FUN | |
26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 29 | 9 | 12 | 8 | 0 | 34 | 7 | 13 | 22 | 4 | 2 | 50.00% | 4 | 1 | 75.00% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 24 | 17 | 22 | 7 | 13 | 6 | 66.7% | 13.8% | 94.1% | 107.9 | LUCKY | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 22 | 7 | 6 | 9 | 0 | 36 | 6 | 10 | 23 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 20 | 13 | 27 | 7 | 12 | 5 | 25.0% | 4.5% | 91.7% | 96.2 | DULL | |
_Vs Division | 23 | 2 | 15 | 0 | 2 | 2 | 2 | 0 | 46 | 77 | -31 | 14 | 0.304 | 46 | 76 | 122 | 0 | 0 | 12 | 13 | 17 | 5 | 584 | 190 | 196 | 191 | 14 | 698 | 218 | 221 | 515 | 88 | 10 | 11.36% | 103 | 18 | 82.52% | 0 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 498 | 333 | 603 | 175 | 293 | 140 | 37.9% | 7.9% | 89.0% | 96.8 | Unlucky | |
_Vs Conference | 40 | 10 | 22 | 0 | 2 | 3 | 3 | 0 | 85 | 119 | -34 | 33 | 0.413 | 85 | 145 | 230 | 0 | 1 | 26 | 29 | 25 | 8 | 1048 | 336 | 352 | 351 | 23 | 1220 | 378 | 387 | 858 | 161 | 20 | 12.42% | 170 | 31 | 81.76% | 1 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 881 | 594 | 1035 | 303 | 505 | 243 | 42.5% | 8.1% | 90.2% | 98.4 | Unlucky | |
_Since Last GM Reset | 55 | 14 | 26 | 0 | 3 | 6 | 4 | 2 | 122 | 159 | -37 | 50 | 0.455 | 122 | 209 | 331 | 1 | 2 | 43 | 35 | 37 | 11 | 1444 | 472 | 469 | 480 | 46 | 1681 | 507 | 568 | 1208 | 222 | 29 | 13.06% | 230 | 40 | 82.61% | 4 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 1225 | 825 | 1423 | 418 | 697 | 338 | 43.9% | 8.4% | 90.5% | 99.0 | Unlucky | |
Total | 55 | 14 | 26 | 0 | 3 | 6 | 4 | 2 | 122 | 159 | -37 | 50 | 0.455 | 122 | 209 | 331 | 1 | 2 | 43 | 35 | 37 | 11 | 1444 | 472 | 469 | 480 | 46 | 1681 | 507 | 568 | 1208 | 222 | 29 | 13.06% | 230 | 40 | 82.61% | 4 | 856 | 1798 | 47.61% | 914 | 1925 | 47.48% | 380 | 811 | 46.86% | 1225 | 825 | 1423 | 418 | 697 | 338 | 43.9% | 8.4% | 90.5% | 99.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 1798 |
Neutral Zone Start | 811 |
Defensive Zone Start | 1925 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 2150 |
Faceoffs Lost | 2384 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.6 | 9.57 |
2nd Period | 17.1 | 20.31 |
3rd Period | 25.8 | 30.68 |
Overtime | 26.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.1 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 88 |
---|---|
PP Goal | 29 |
PK Goal | 4 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 13 | 8 |
Lost | 10 | 16 |
Overtime Lost | 4 | 4 |
PP Attempt | 222 |
---|---|
PP Goal | 29 |
PK Attempt | 230 |
PK Goal Against | 40 |
Home | |
---|---|
Shots For | 26.3 |
Shots Against | 30.6 |
Goals For | 2.2 |
Goals Against | 2.9 |
Hits | 22.0 |
Shots Blocked | 9.2 |
Pim | 10.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-10-01 | @ | Blue Jackets3,Rangers2 (OT) | RECAP | |||||||||||
2020-10-04 | @ | Rangers2,Flyers3 (OT) | RECAP | |||||||||||
2020-10-07 | @ | Rangers3,Sabres6 | RECAP | |||||||||||
2020-10-08 | @ | Blue Jackets1,Rangers2 (SO) | RECAP | |||||||||||
2020-10-11 | @ | Hurricanes6,Rangers1 | RECAP | |||||||||||
2020-10-12 | @ | Rangers2,Capitals5 | RECAP | |||||||||||
2020-10-14 | @ | Rangers0,Islanders3 | RECAP | |||||||||||
2020-10-16 | @ | Rangers2,Penguins3 | RECAP | |||||||||||
2020-10-17 | @ | Devils3,Rangers4 | RECAP | |||||||||||
2020-10-21 | @ | Islanders1,Rangers2 (SO) | RECAP | |||||||||||
2020-10-23 | @ | Flyers6,Rangers2 | RECAP | |||||||||||
2020-10-26 | @ | Rangers2,Blue Jackets3 | RECAP | |||||||||||
2020-10-27 | @ | Red Wings3,Rangers2 (OT) | RECAP | |||||||||||
2020-10-30 | @ | Penguins3,Rangers4 (OT) | RECAP | |||||||||||
2020-11-01 | @ | Rangers1,Panthers4 | RECAP | |||||||||||
2020-11-03 | @ | Rangers1,Penguins3 | RECAP | |||||||||||
2020-11-04 | @ | Sabres1,Rangers4 | RECAP | |||||||||||
2020-11-06 | @ | Rangers4,Sabres3 | RECAP | |||||||||||
2020-11-09 | @ | Red Wings1,Rangers3 | RECAP | |||||||||||
2020-11-13 | @ | Rangers3,Senators2 | RECAP | |||||||||||
2020-11-14 | @ | Coyotes3,Rangers1 | RECAP | |||||||||||
2020-11-17 | @ | Rangers1,Senators3 | RECAP | |||||||||||
2020-11-19 | @ | Lightning2,Rangers3 (SO) | RECAP | |||||||||||
2020-11-21 | @ | Devils4,Rangers1 | RECAP | |||||||||||
2020-11-23 | @ | Rangers3,Sabres2 | RECAP | |||||||||||
2020-11-25 | @ | Rangers1,Golden Knights3 | RECAP | |||||||||||
2020-11-26 | @ | Canucks0,Rangers2 | RECAP | |||||||||||
2020-11-29 | @ | Rangers2,Flames3 (OT) | RECAP | |||||||||||
2020-11-30 | @ | Blackhawks3,Rangers4 (SO) | RECAP | |||||||||||
2020-12-03 | @ | Rangers0,Flyers3 | RECAP | |||||||||||
2020-12-05 | @ | Bruins4,Rangers1 | RECAP | |||||||||||
2020-12-08 | @ | Rangers4,Blackhawks2 | RECAP | |||||||||||
2020-12-10 | @ | Senators1,Rangers2 | RECAP | |||||||||||
2020-12-12 | @ | Jets4,Rangers3 | RECAP | |||||||||||
2020-12-14 | @ | Rangers2,Avalanche3 (SO) | RECAP | |||||||||||
2020-12-16 | @ | Rangers2,Lightning3 | RECAP | |||||||||||
2020-12-18 | @ | Wild4,Rangers2 | RECAP | |||||||||||
2020-12-20 | @ | Rangers2,Maple Leafs3 | RECAP | |||||||||||
2020-12-22 | @ | Flyers3,Rangers2 | RECAP | |||||||||||
2020-12-24 | @ | Rangers1,Flyers3 | RECAP | |||||||||||
2020-12-26 | @ | Panthers2,Rangers3 | RECAP | |||||||||||
2020-12-28 | @ | Rangers3,Flames2 | RECAP | |||||||||||
2020-12-30 | @ | Rangers3,Capitals1 | RECAP | |||||||||||
2020-12-31 | @ | Stars3,Rangers2 (OT) | RECAP | |||||||||||
2021-01-02 | @ | Rangers2,Canadiens0 | RECAP | |||||||||||
2021-01-04 | @ | Predators3,Rangers2 (OT) | RECAP | |||||||||||
2021-01-06 | @ | Rangers2,Capitals5 | RECAP | |||||||||||
2021-01-08 | @ | Penguins4,Rangers5 (OT) | RECAP | |||||||||||
2021-01-10 | @ | Rangers3,Avalanche2 (OT) | RECAP | |||||||||||
2021-01-12 | @ | Rangers2,Oilers3 (SO) | RECAP | |||||||||||
2021-01-13 | @ | Sharks2,Rangers4 | RECAP | |||||||||||
2021-01-16 | @ | Rangers1,Devils4 | RECAP | |||||||||||
2021-01-18 | @ | Islanders5,Rangers4 | RECAP | |||||||||||
2021-01-20 | @ | Rangers1,Devils2 | RECAP | |||||||||||
2021-01-22 | @ | Canadiens2,Rangers0 | RECAP | |||||||||||
2021-01-24 | @ | |||||||||||||
2021-01-25 | @ | |||||||||||||
2021-01-29 | @ | |||||||||||||
2021-02-01 | @ | |||||||||||||
2021-02-03 | @ | |||||||||||||
2021-02-05 | @ | |||||||||||||
2021-02-07 | @ | |||||||||||||
2021-02-08 | @ | |||||||||||||
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2021-02-13 | @ | |||||||||||||
2021-02-14 | @ | |||||||||||||
2021-02-17 | @ | |||||||||||||
2021-02-18 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2021-02-21 | @ | |||||||||||||
2021-02-23 | @ | |||||||||||||
2021-02-26 | @ | |||||||||||||
2021-02-27 | @ | |||||||||||||
2021-03-02 | @ | |||||||||||||
2021-03-03 | @ | |||||||||||||
2021-03-06 | @ | |||||||||||||
2021-03-07 | @ | |||||||||||||
2021-03-10 | @ | |||||||||||||
2021-03-11 | @ | |||||||||||||
2021-03-15 | @ | |||||||||||||
2021-03-19 | @ | |||||||||||||
2021-03-24 | @ | |||||||||||||
2021-03-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
70,866,667$ | 0$ | 70,866,667$ | 10,633,333$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Madison Square Garden | |
City | New York | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 147900 | 122720 | 49558 | 100224 | 24529 |
Attendance PCT | 91.30% | 90.90% | 91.77% | 92.80% | 90.85% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
14 | 16479 - 91.55% | 1,449,034$ | 39,123,912$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
70,866,667$ | 70,866,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
45,980,367$ | 70,866,667$ | 45,652,178$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
20,286,473$ | 64 | 398,696$ | 25,516,544$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
26,493,410$ | 70,866,667$ | 45,636,636$ | 39,429,699$ |
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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2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Anton Johannesson | 2020 | 73 | |||
Cade Webber | 2019 | 117 | |||
Dick Axelsson | |||||
Eamon Powell | 2020 | 88 | |||
Evan Barratt | 6.5 - 6.0 | ||||
Ilya Nikolayev | 2019 | 55 | |||
Jan Jenik | 4.5 - 4.0 | ||||
Jeremias Lindewall | |||||
Jiri Patera | 4.5 - 4.0 | ||||
Jusso Parssinen | 2019 | 210 | |||
Kaiden Guhle | 2020 | 28 | |||
Kim Nousiainen | 2019 | 148 | 7.0 - 3.5 | ||
Lucas Feuk | 2019 | 133 | |||
Matteo Costantini | |||||
Nils Lundkvist | 6.5 - 7.5 | ||||
Noel Gunler | 2020 | 20 | |||
Philip Tomasino | 2019 | 22 | 7.5 - 7.5 | ||
Ryan Merkley | 9.0 - 8.5 | ||||
Ryan O'Reilly (F) | |||||
Spencer Knight | 2019 | 16 | 9.0 - 7.5 | ||
Victor Soderstrom | 2019 | 19 | 5.0 - 4.0 | ||
Yegor Serdyuk | 2019 | 179 | |||
Zachary Jones | 2019 | 86 | 6.0 - 4.0 |
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