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Full Scoreboard »» |
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Full Scoreboard »» |
New York Rangers 22-37-9, 53pts · 15th 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/RW | 98.00 | 70 | 32 | 92 | 69 | 75 | 76 | 88 | 70 | 58 | 71 | 73 | 66 | 71 | 71 | 70 | 0 | 20 | 80 | 27 | 3,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 67 | 37 | 83 | 73 | 76 | 82 | 77 | 69 | 73 | 77 | 67 | 63 | 68 | 72 | 70 | 0 | 19 | 80 | 27 | 5,500,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 69 | 32 | 84 | 73 | 71 | 80 | 77 | 71 | 61 | 73 | 72 | 64 | 72 | 70 | 69 | 0 | 18 | 80 | 27 | 5,250,000$/4yrs | |||
![]() | 44 | LW/RW | 99.00 | 76 | 40 | 61 | 78 | 78 | 78 | 73 | 69 | 57 | 70 | 72 | 61 | 71 | 71 | 67 | 0 | 22 | 80 | 27 | 3,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 63 | 32 | 91 | 61 | 70 | 74 | 89 | 67 | 79 | 67 | 68 | 78 | 67 | 86 | 85 | 0 | 19 | 79 | 36 | 2,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 37 | 81 | 67 | 74 | 77 | 87 | 71 | 60 | 69 | 75 | 62 | 73 | 70 | 68 | 0 | 22 | 79 | 26 | 2,250,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 84 | 33 | 99 | 70 | 85 | 81 | 70 | 68 | 81 | 74 | 68 | 66 | 68 | 61 | 61 | 0 | 19 | 79 | 22 | 850,833$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 78 | 33 | 89 | 68 | 79 | 76 | 88 | 67 | 60 | 68 | 69 | 67 | 68 | 70 | 69 | 0 | 21 | 78 | 26 | 2,750,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 63 | 32 | 91 | 67 | 71 | 77 | 87 | 68 | 79 | 71 | 67 | 65 | 67 | 67 | 66 | 0 | 21 | 77 | 25 | 2,500,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 72 | 40 | 72 | 70 | 74 | 68 | 73 | 67 | 65 | 69 | 70 | 64 | 70 | 62 | 59 | 0 | 32 | 77 | 22 | 795,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 86 | 50 | 56 | 63 | 85 | 74 | 81 | 65 | 58 | 69 | 65 | 62 | 65 | 79 | 74 | 0 | 19 | 76 | 32 | 3,200,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 82 | 34 | 94 | 62 | 90 | 71 | 81 | 64 | 59 | 64 | 66 | 62 | 65 | 67 | 66 | 0 | 19 | 75 | 25 | 1,500,000$/1yrs | |||
![]() | 0 | D | 99.00 | 61 | 33 | 94 | 72 | 85 | 96 | 89 | 75 | 30 | 79 | 68 | 87 | 72 | 78 | 77 | 0 | 19 | 88 | 31 | 6,500,000$/4yrs | |||
![]() | 0 | D | 99.00 | 97 | 50 | 76 | 60 | 94 | 82 | 72 | 64 | 30 | 64 | 66 | 82 | 65 | 77 | 75 | 0 | 24 | 82 | 31 | 2,000,000$/3yrs | |||
![]() | 0 | D | 99.00 | 65 | 33 | 94 | 63 | 80 | 82 | 89 | 66 | 30 | 69 | 58 | 78 | 62 | 86 | 85 | 0 | 21 | 81 | 35 | 5,250,000$/3yrs | |||
![]() | 0 | D | 99.00 | 71 | 33 | 93 | 63 | 82 | 86 | 86 | 66 | 30 | 68 | 61 | 80 | 63 | 73 | 72 | 0 | 21 | 81 | 28 | 2,500,000$/3yrs | |||
![]() | 4 | D | 100.00 | 62 | 33 | 87 | 67 | 76 | 84 | 88 | 67 | 30 | 75 | 64 | 67 | 65 | 80 | 79 | 0 | 20 | 80 | 32 | 3,800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 34 | 85 | 55 | 92 | 83 | 85 | 64 | 30 | 63 | 57 | 83 | 61 | 77 | 76 | 0 | 21 | 79 | 31 | 2,700,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 85 | 33 | 99 | 60 | 80 | 80 | 66 | 60 | 30 | 73 | 50 | 69 | 55 | 79 | 78 | 0 | 20 | 76 | 32 | 2,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 43 | 85 | 63 | 81 | 82 | 70 | 63 | 30 | 75 | 50 | 59 | 57 | 78 | 77 | 0 | 20 | 77 | 32 | 4,050,000$/1yrs | |||
TEAM AVERAGE | 99.60 | 73 | 36 | 85 | 66 | 80 | 79 | 81 | 67 | 52 | 70 | 65 | 69 | 66 | 74 | 72 | 0 | 21 | 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 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 80 | 83 | 75 | 79 | 85 | 82 | 86 | 90 | 85 | 90 | 86 | 62 | 66 | 0 | 15 | 86 | 21 | 925,000$/4yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 94.00 | 75 | 78 | 72 | 83 | 73 | 76 | 76 | 75 | 76 | 75 | 76 | 66 | 68 | 0 | 11 | 79 | 24 | 800,000$/1yrs |
![]() | 0 | 100.00 | 67 | 64 | 67 | 68 | 70 | 63 | 73 | 80 | 68 | 82 | 73 | 84 | 87 | 0 | 12 | 76 | 35 | 800,000$/2yrs |
TEAM AVERAGE | 98.00 | 74 | 75 | 71 | 77 | 76 | 74 | 78 | 82 | 76 | 82 | 78 | 71 | 74 | 0 | 13 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd McLellan | 72 | 75 | 83 | 85 | 86 | 78 | 75 | CAN | 53 | 3 | 1,000,000$ |
General Manager | Steven St-Onge |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Miles Wood | 44 | LW/RW | 68 | 16 | 29 | 45 | -3 | 36 | 10 | 120 | 168 | 65 | 130 | 9.52% | 9 | 19.04 | 4 | 9 | 13 | 189 | 0 | 0 | 0 | 111 | 3 | 0 | 41.78% | 225 | 0 | 0 | 0 | 0 | 0.69 | 1 | 7 | |
2 | Cam Fowler | 0 | D | 68 | 12 | 30 | 42 | -31 | 37 | 5 | 64 | 98 | 36 | 55 | 12.24% | 122 | 22.75 | 5 | 5 | 10 | 117 | 0 | 0 | 0 | 118 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
3 | Kevin Labanc | 0 | RW | 67 | 15 | 19 | 34 | -10 | 36 | 0 | 95 | 130 | 49 | 121 | 11.54% | 6 | 18.90 | 5 | 6 | 11 | 152 | 0 | 0 | 0 | 85 | 2 | 0 | 38.64% | 528 | 0 | 0 | 0 | 0 | 0.54 | 1 | 2 | |
4 | Derek Ryan | 0 | C/LW/RW | 68 | 13 | 17 | 30 | -17 | 13 | 5 | 77 | 144 | 29 | 87 | 9.03% | 23 | 18.36 | 4 | 6 | 10 | 132 | 0 | 2 | 2 | 121 | 0 | 1 | 45.50% | 1266 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
5 | Danton Heinen | 0 | LW/RW | 68 | 12 | 15 | 27 | -19 | 36 | 0 | 78 | 143 | 48 | 109 | 8.39% | 17 | 21.01 | 0 | 8 | 8 | 176 | 1 | 0 | 1 | 181 | 2 | 0 | 40.58% | 207 | 0 | 0 | 1 | 0 | 0.38 | 2 | 3 | |
6 | Olli Maatta | 0 | D | 68 | 6 | 21 | 27 | 9 | 38 | 0 | 108 | 46 | 12 | 29 | 13.04% | 73 | 16.46 | 1 | 1 | 2 | 50 | 0 | 0 | 0 | 103 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
7 | Marc-Edouard Vlasic | 0 | D | 68 | 8 | 18 | 26 | 4 | 27 | 5 | 57 | 66 | 16 | 40 | 12.12% | 85 | 18.40 | 4 | 3 | 7 | 141 | 0 | 0 | 0 | 157 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
8 | Sam Steel | 0 | C/LW | 68 | 14 | 11 | 25 | -13 | 10 | 0 | 30 | 104 | 33 | 75 | 13.46% | 3 | 15.02 | 6 | 6 | 12 | 140 | 0 | 0 | 0 | 30 | 1 | 0 | 48.03% | 1143 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
9 | Jarred Tinordi | 0 | D | 68 | 7 | 18 | 25 | -15 | 113 | 15 | 214 | 88 | 40 | 67 | 7.95% | 96 | 21.72 | 2 | 6 | 8 | 188 | 0 | 1 | 1 | 164 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
10 | Warren Foegele | 0 | LW/RW | 68 | 9 | 14 | 23 | -7 | 22 | 0 | 77 | 115 | 39 | 84 | 7.83% | 10 | 16.17 | 1 | 3 | 4 | 176 | 1 | 0 | 1 | 145 | 0 | 0 | 33.67% | 98 | 0 | 0 | 0 | 0 | 0.42 | 0 | 4 | |
11 | Patrik Nemeth | 0 | D | 68 | 7 | 14 | 21 | -16 | 50 | 0 | 72 | 74 | 24 | 64 | 9.46% | 82 | 19.79 | 2 | 4 | 6 | 140 | 0 | 0 | 0 | 151 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
12 | Juuso Parssinen | 0 | C/LW | 64 | 3 | 15 | 18 | -9 | 15 | 5 | 33 | 81 | 21 | 64 | 3.70% | 2 | 11.88 | 0 | 1 | 1 | 49 | 0 | 0 | 0 | 0 | 0 | 1 | 45.89% | 900 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
13 | Jonathan Drouin | 0 | LW | 66 | 9 | 8 | 17 | -6 | 0 | 0 | 26 | 66 | 19 | 56 | 13.64% | 4 | 11.71 | 1 | 0 | 1 | 30 | 0 | 0 | 0 | 54 | 3 | 0 | 44.10% | 449 | 0 | 0 | 0 | 0 | 0.44 | 0 | 1 | |
14 | Justin Schultz | 4 | D | 68 | 0 | 14 | 14 | -30 | 42 | 0 | 94 | 61 | 16 | 43 | 0.00% | 63 | 21.67 | 0 | 4 | 4 | 147 | 0 | 0 | 0 | 132 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
15 | Zack Kassian | 0 | LW/RW | 68 | 3 | 10 | 13 | -6 | 55 | 5 | 102 | 36 | 15 | 39 | 8.33% | 2 | 8.05 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 40 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
16 | Jan Jenik | 0 | RW | 35 | 3 | 7 | 10 | -5 | 32 | 10 | 36 | 41 | 10 | 35 | 7.32% | 2 | 10.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 50.00% | 34 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
17 | Ryan Donato | 0 | C/LW | 65 | 4 | 5 | 9 | -10 | 21 | 5 | 22 | 69 | 24 | 61 | 5.80% | 7 | 9.77 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 45.64% | 241 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
18 | Julien Gauthier | 0 | RW | 30 | 1 | 0 | 1 | -1 | 0 | 0 | 11 | 11 | 7 | 12 | 9.09% | 2 | 7.26 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 34.29% | 35 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | |
19 | Richard Panik | 0 | LW/RW | 3 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 5.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 1.31 | 0 | 0 | |
Team Total or Average | 1146 | 142 | 266 | 408 | -184 | 583 | 65 | 1316 | 1542 | 504 | 1171 | 9.21% | 608 | 16.49 | 35 | 63 | 98 | 1839 | 2 | 3 | 5 | 1558 | 17 | 4 | 44.64% | 5168 | 0 | 0 | 1 | 0 | 0.43 | 4 | 17 |
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 | Spencer Knight | 38 | 10 | 18 | 4 | 0.912 | 2.86 | 2038 | 2 | 1 | 97 | 1099 | 0 | 0 | 0 | 0.706 | 17 | 32 | 26 | 6 | 1 | 0 | |
2 | Jiri Patera | 22 | 6 | 11 | 3 | 0.876 | 3.50 | 1113 | 2 | 0 | 65 | 525 | 0 | 1 | 1 | 0.500 | 2 | 20 | 25 | 3 | 0 | 0 | |
3 | Alex Stalock | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 18 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0.000 | 0 | 0 | 7 | 0 | 0 | 0 | |
Team Total or Average | 61 | 16 | 29 | 7 | 0.901 | 3.07 | 3170 | 4 | 1 | 162 | 1640 | 0 | 1 | 1 | 0.684 | 19 | 52 | 58 | 9 | 1 | 0 |
Projected Total Cap Hit | 61,553,924$ |
Projected Cap Space | 20,946,076$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 53,868,914$ |
Players In Salary Cap | 18 |
LTIR Players | 5 |
Rangers Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Stalock ![]() ![]() | G | 35 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Cam Fowler | D | 31 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||
Danton Heinen | LW/RW | 27 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Derek Ryan | C/LW/RW | 36 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Jake Gardiner | D | 32 | 4,050,000$ | 4,050,000$ | UFA | ||||||
Jan Jenik ![]() | RW | 22 | 795,000$ | 795,000$ | RFA | ||||||
Jarred Tinordi | D | 31 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Jiri Patera ![]() ![]() | G | 24 | 800,000$ | 800,000$ | RFA | ||||||
Jonathan Drouin | LW | 27 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Julien Gauthier | RW | 25 | 1,500,000$ | 1,500,000$ | |||||||
Justin Schultz | D | 32 | 3,800,000$ | 3,800,000$ | UFA | ||||||
Juuso Parssinen ![]() ![]() | C/LW | 22 | 850,833$ | 850,833$ | 850,833$ | 850,833$ | RFA | ||||
Kevin Labanc ![]() | RW | 27 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||
Marc-Edouard Vlasic | D | 35 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||
Miles Wood | LW/RW | 27 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Olli Maatta | D | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Patrik Nemeth | D | 31 | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||||
Richard Panik | LW/RW | 32 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Ryan Donato | C/LW | 26 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||
Sam Steel | C/LW | 25 | 2,500,000$ | 2,500,000$ | |||||||
Spencer Knight ![]() ![]() | G | 21 | 925,000$ | 925,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||
Warren Foegele | LW/RW | 26 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Zack Kassian | LW/RW | 32 | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Austin Strand ![]() | D | 26 | 900,000$ | 900,000$ | ![]() | ||||||
Axel Jonsson-Fjallby ![]() | LW | 25 | 950,000$ | 950,000$ | ![]() | ||||||
Beck Warm ![]() | G | 23 | 750,000$ | 750,000$ | RFA | ||||||
Ben Holmstrom ![]() | C | 35 | 750,000$ | 750,000$ | UFA | ||||||
Bobby Trivigno ![]() | LW | 24 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Bode Wilde ![]() | D | 23 | 764,167$ | 764,167$ | RFA | ||||||
Brent Gates ![]() | LW | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Carsen Twarynski ![]() | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
D.J. Busdeker ![]() | RW | 23 | 750,000$ | 750,000$ | RFA | ||||||
David Gustafsson ![]() | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Dino Kambeitz ![]() | RW | 23 | 750,000$ | 750,000$ | RFA | ||||||
Dominik Bokk ![]() | LW/RW | 23 | 863,333$ | 863,333$ | RFA | ||||||
Dryden Hunt ![]() | LW | 27 | 900,000$ | 900,000$ | ![]() | ||||||
Evan Barratt ![]() | C | 24 | 870,000$ | 870,000$ | RFA | ||||||
Gabriel Fontaine ![]() | C | 25 | 0$ | ![]() | |||||||
Ian McCoshen ![]() | D | 27 | 0$ | ![]() | |||||||
Jack Badini ![]() | C/LW | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Jonathan Davidsson ![]() | RW | 26 | 850,000$ | 850,000$ | ![]() | ||||||
Joseph Woll ![]() ![]() | G | 24 | 800,000$ | 800,000$ | RFA | ||||||
Josh Brook ![]() | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Michael Karow ![]() | D | 24 | 750,000$ | 750,000$ | RFA | ||||||
Michael Vukojevic ![]() | D | 21 | 850,333$ | 850,333$ | 850,333$ | RFA | |||||
Nils Hoglander ![]() ![]() | LW | 22 | 891,667$ | 891,667$ | RFA | ||||||
Oskar Olausson ![]() | RW | 20 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Ryan Merkley ![]() | D | 22 | 863,333$ | 863,333$ | RFA | ||||||
Stanislav Svozil ![]() | D | 20 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Taylor Fedun ![]() | D | 34 | 750,000$ | 750,000$ | UFA | ||||||
Tyler Wall ![]() | G | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Victor Soderstrom ![]() | D | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
William Eklund ![]() | C/LW | 20 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 0 | 4 | 3 | 0 | 48 | 13 | 17 | 18 | 0 | 56 | 16 | 12 | 29 | 4 | 3 | 75.00% | 5 | 1 | 80.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 44 | 29 | 49 | 15 | 26 | 12 | 40.0% | 14.6% | 87.5% | 102.1 | FUN | |
2 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 9 | 7 | 2 | 5 | 0.833 | 9 | 15 | 24 | 0 | 0 | 2 | 0 | 6 | 2 | 87 | 29 | 22 | 35 | 8 | 108 | 25 | 49 | 69 | 12 | 2 | 16.67% | 15 | 3 | 80.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 65 | 44 | 86 | 22 | 37 | 17 | 63.6% | 10.3% | 93.5% | 103.9 | LUCKY | |
3 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 15 | -11 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 70 | 25 | 26 | 19 | 0 | 93 | 39 | 18 | 55 | 7 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 64 | 44 | 78 | 21 | 36 | 18 | 25.0% | 5.7% | 83.9% | 89.6 | Unlucky | |
4 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 2 | 0.333 | 4 | 8 | 12 | 0 | 1 | 0 | 2 | 2 | 0 | 67 | 18 | 21 | 28 | 0 | 116 | 34 | 22 | 65 | 7 | 1 | 14.29% | 11 | 2 | 81.82% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 67 | 47 | 76 | 21 | 35 | 16 | 30.0% | 6.0% | 92.2% | 98.2 | DULL | |
5 | 3 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 14 | 22 | 0 | 0 | 4 | 1 | 1 | 2 | 76 | 18 | 23 | 33 | 2 | 109 | 26 | 20 | 43 | 11 | 3 | 27.27% | 9 | 3 | 66.67% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 65 | 45 | 79 | 21 | 36 | 17 | 50.0% | 10.5% | 92.7% | 103.2 | LUCKY | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 36 | 8 | 19 | 9 | 0 | 51 | 16 | 8 | 32 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 44 | 30 | 51 | 14 | 24 | 11 | 25.0% | 8.3% | 82.4% | 90.7 | Unlucky | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 4 | 1 | 1 | 0 | 60 | 26 | 16 | 18 | 0 | 42 | 9 | 14 | 36 | 7 | 3 | 42.86% | 6 | 2 | 66.67% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 48 | 34 | 44 | 14 | 26 | 13 | 75.0% | 10.0% | 92.9% | 102.9 | LUCKY | |
8 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 7 | 15 | -8 | 1 | 0.167 | 7 | 12 | 19 | 0 | 0 | 2 | 5 | 0 | 0 | 85 | 35 | 33 | 17 | 0 | 141 | 29 | 27 | 71 | 15 | 1 | 6.67% | 14 | 4 | 71.43% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 61 | 39 | 82 | 22 | 39 | 18 | 35.3% | 8.2% | 89.4% | 97.6 | Unlucky | |
9 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 10 | -4 | 3 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 91 | 38 | 25 | 27 | 4 | 90 | 29 | 33 | 72 | 8 | 0 | 0.00% | 14 | 4 | 71.43% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 68 | 46 | 79 | 22 | 36 | 17 | 50.0% | 6.6% | 88.9% | 95.5 | Unlucky | |
10 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 1 | 3 | 0.500 | 9 | 18 | 27 | 0 | 0 | 3 | 3 | 3 | 0 | 74 | 16 | 23 | 35 | 0 | 91 | 20 | 31 | 56 | 10 | 0 | 0.00% | 12 | 5 | 58.33% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 69 | 47 | 73 | 23 | 37 | 18 | 75.0% | 12.2% | 91.2% | 103.4 | LUCKY | |
11 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 46 | 15 | 11 | 20 | 3 | 54 | 13 | 14 | 40 | 7 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 48 | 33 | 47 | 16 | 28 | 14 | 50.0% | 4.3% | 92.6% | 96.9 | DULL | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 0 | 3 | 4 | 0 | 54 | 14 | 13 | 27 | 0 | 53 | 20 | 29 | 37 | 9 | 2 | 22.22% | 4 | 1 | 75.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 44 | 30 | 50 | 15 | 24 | 11 | 62.5% | 13.0% | 92.5% | 105.4 | LUCKY | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 0 | 3 | 0 | 40 | 11 | 12 | 17 | 0 | 56 | 29 | 14 | 48 | 7 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 42 | 27 | 51 | 15 | 26 | 13 | 41.7% | 12.5% | 85.7% | 98.2 | FUN | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 25 | 7 | 6 | 12 | 0 | 37 | 11 | 8 | 20 | 6 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 24 | 16 | 23 | 6 | 11 | 6 | 33.3% | 4.0% | 89.2% | 93.2 | Unlucky | |
15 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 3 | 3 | 1 | 1 | 43 | 5 | 20 | 16 | 2 | 57 | 25 | 13 | 44 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 48 | 33 | 48 | 14 | 25 | 13 | 72.7% | 18.6% | 94.7% | 113.3 | LUCKY | |
16 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 7 | -4 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 43 | 16 | 15 | 11 | 4 | 65 | 22 | 18 | 45 | 8 | 1 | 12.50% | 8 | 2 | 75.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 45 | 30 | 53 | 15 | 26 | 12 | 28.6% | 7.0% | 89.2% | 96.2 | Unlucky | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 17 | 4 | 8 | 5 | 0 | 42 | 17 | 12 | 20 | 3 | 1 | 33.33% | 6 | 3 | 50.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 20 | 13 | 27 | 6 | 12 | 5 | 0.0% | 5.9% | 85.7% | 91.6 | Unlucky | |
18 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 59 | 14 | 19 | 22 | 4 | 89 | 25 | 12 | 44 | 7 | 3 | 42.86% | 6 | 0 | 100.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 42 | 27 | 54 | 15 | 26 | 12 | 33.3% | 10.2% | 93.3% | 103.4 | LUCKY | |
19 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 0 | 0.000 | 6 | 10 | 16 | 1 | 0 | 0 | 3 | 3 | 0 | 76 | 28 | 12 | 36 | 0 | 96 | 18 | 26 | 45 | 12 | 1 | 8.33% | 13 | 4 | 69.23% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 61 | 40 | 80 | 22 | 38 | 17 | 38.5% | 7.9% | 87.5% | 95.4 | Unlucky | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 18 | 4 | 9 | 5 | 0 | 26 | 6 | 21 | 23 | 1 | 0 | 0.00% | 8 | 2 | 75.00% | 1 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 19 | 12 | 27 | 7 | 13 | 5 | 50.0% | 11.1% | 84.6% | 95.7 | FUN | |
21 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 35 | 16 | 11 | 8 | 0 | 71 | 22 | 31 | 46 | 4 | 0 | 0.00% | 13 | 4 | 69.23% | 1 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 38 | 25 | 56 | 15 | 24 | 10 | 33.3% | 5.7% | 88.7% | 94.4 | Unlucky | |
22 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 5 | 1 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 53 | 25 | 16 | 12 | 4 | 71 | 17 | 23 | 37 | 9 | 3 | 33.33% | 9 | 1 | 88.89% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 46 | 30 | 52 | 16 | 25 | 12 | 42.9% | 11.3% | 93.0% | 104.3 | LUCKY | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 43 | 8 | 12 | 23 | 0 | 55 | 16 | 14 | 43 | 8 | 2 | 25.00% | 7 | 0 | 100.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 38 | 23 | 55 | 16 | 26 | 12 | 0.0% | 4.7% | 83.6% | 88.3 | Unlucky | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 57 | 16 | 25 | 16 | 0 | 63 | 18 | 14 | 42 | 9 | 1 | 11.11% | 7 | 0 | 100.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 44 | 29 | 48 | 15 | 26 | 12 | 40.0% | 5.3% | 95.2% | 100.5 | DULL | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 63 | 18 | 23 | 22 | 0 | 45 | 11 | 10 | 45 | 8 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 47 | 32 | 46 | 14 | 26 | 13 | 36.4% | 6.3% | 80.0% | 86.3 | Unlucky | |
26 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 5 | 0 | 0 | 2 | 63 | 27 | 21 | 10 | 9 | 49 | 17 | 12 | 39 | 12 | 2 | 16.67% | 6 | 1 | 83.33% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 52 | 37 | 46 | 16 | 26 | 13 | 80.0% | 9.5% | 95.9% | 105.4 | LUCKY | |
27 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 2 | 2 | 0 | 1 | 52 | 14 | 20 | 12 | 6 | 67 | 15 | 19 | 31 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 45 | 32 | 57 | 15 | 24 | 10 | 55.6% | 9.6% | 92.5% | 102.2 | LUCKY | |
28 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 1 | 4 | 1 | 0 | 59 | 21 | 22 | 16 | 0 | 110 | 26 | 22 | 69 | 7 | 1 | 14.29% | 10 | 2 | 80.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 59 | 37 | 83 | 21 | 37 | 17 | 35.7% | 10.2% | 90.0% | 100.2 | FUN | |
29 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 5 | 9 | 1 | 0 | 1 | 0 | 3 | 0 | 43 | 17 | 7 | 19 | 0 | 60 | 16 | 8 | 36 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 47 | 31 | 47 | 13 | 25 | 12 | 27.3% | 9.3% | 86.7% | 96.0 | FUN | |
30 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 3 | 2 | 3 | 1 | 52 | 16 | 16 | 17 | 3 | 52 | 16 | 22 | 27 | 6 | 1 | 16.67% | 10 | 2 | 80.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 48 | 33 | 47 | 15 | 25 | 12 | 61.5% | 17.3% | 86.5% | 103.8 | FUN | |
31 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 4 | 3 | 0 | 0 | 35 | 14 | 12 | 9 | 0 | 58 | 15 | 10 | 51 | 8 | 3 | 37.50% | 5 | 1 | 80.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 44 | 30 | 50 | 14 | 24 | 12 | 40.0% | 20.0% | 87.9% | 107.9 | FUN | |
_Vs Division | 19 | 2 | 12 | 0 | 2 | 1 | 1 | 1 | 41 | 67 | -26 | 12 | 0.316 | 41 | 74 | 115 | 0 | 0 | 13 | 10 | 15 | 4 | 445 | 125 | 147 | 170 | 10 | 617 | 168 | 162 | 367 | 60 | 8 | 13.33% | 64 | 16 | 75.00% | 0 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 406 | 272 | 508 | 142 | 236 | 114 | 39.3% | 9.2% | 89.1% | 98.4 | FUN | |
_Vs Conference | 38 | 6 | 21 | 0 | 4 | 3 | 1 | 3 | 85 | 130 | -45 | 28 | 0.368 | 85 | 153 | 238 | 1 | 1 | 25 | 29 | 26 | 6 | 930 | 292 | 303 | 323 | 26 | 1281 | 341 | 346 | 755 | 117 | 14 | 11.97% | 144 | 34 | 76.39% | 1 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 825 | 555 | 1012 | 287 | 476 | 226 | 42.5% | 9.1% | 89.9% | 99.0 | FUN | |
_Since Last GM Reset | 68 | 15 | 37 | 0 | 5 | 4 | 2 | 5 | 158 | 223 | -65 | 53 | 0.390 | 158 | 280 | 438 | 2 | 1 | 52 | 51 | 48 | 9 | 1670 | 536 | 535 | 574 | 49 | 2173 | 618 | 586 | 1360 | 225 | 35 | 15.56% | 246 | 58 | 76.42% | 2 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 1509 | 1019 | 1758 | 515 | 865 | 417 | 42.7% | 9.5% | 89.7% | 99.2 | FUN | |
Total | 68 | 15 | 37 | 0 | 5 | 4 | 2 | 5 | 158 | 223 | -65 | 53 | 0.390 | 158 | 280 | 438 | 2 | 1 | 52 | 51 | 48 | 9 | 1670 | 536 | 535 | 574 | 49 | 2173 | 618 | 586 | 1360 | 225 | 35 | 15.56% | 246 | 58 | 76.42% | 2 | 922 | 2003 | 46.03% | 1088 | 2435 | 44.68% | 437 | 1000 | 43.70% | 1509 | 1019 | 1758 | 515 | 865 | 417 | 42.7% | 9.5% | 89.7% | 99.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 2003 |
Neutral Zone Start | 1000 |
Defensive Zone Start | 2435 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 2447 |
Faceoffs Lost | 2991 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.9 | 9.57 |
2nd Period | 15.8 | 20.31 |
3rd Period | 24.2 | 30.68 |
Overtime | 24.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 119 |
---|---|
PP Goal | 35 |
PK Goal | 2 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 14 | 8 |
Lost | 17 | 20 |
Overtime Lost | 3 | 6 |
PP Attempt | 225 |
---|---|
PP Goal | 35 |
PK Attempt | 246 |
PK Goal Against | 58 |
Home | |
---|---|
Shots For | 24.6 |
Shots Against | 32.0 |
Goals For | 2.3 |
Goals Against | 3.3 |
Hits | 20.0 |
Shots Blocked | 9.1 |
Pim | 8.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-11 | @ | Lightning1,Rangers5 | RECAP | |||||||||||
2022-10-13 | @ | Rangers1,Wild2 (SO) | RECAP | |||||||||||
2022-10-14 | @ | Rangers1,Jets2 | RECAP | |||||||||||
2022-10-17 | @ | Ducks5,Rangers1 | RECAP | |||||||||||
2022-10-20 | @ | Sharks3,Rangers1 | RECAP | |||||||||||
2022-10-23 | @ | Blue Jackets4,Rangers2 | RECAP | |||||||||||
2022-10-25 | @ | Avalanche1,Rangers2 | RECAP | |||||||||||
2022-10-26 | @ | Rangers2,Islanders4 | RECAP | |||||||||||
2022-10-29 | @ | Rangers2,Stars1 (SO) | RECAP | |||||||||||
2022-10-30 | @ | Rangers4,Coyotes3 | RECAP | |||||||||||
2022-11-01 | @ | Flyers3,Rangers5 | RECAP | |||||||||||
2022-11-03 | @ | Bruins4,Rangers2 | RECAP | |||||||||||
2022-11-06 | @ | Red Wings4,Rangers3 (OT) | RECAP | |||||||||||
2022-11-08 | @ | Islanders1,Rangers2 (OT) | RECAP | |||||||||||
2022-11-10 | @ | Rangers3,Red Wings6 | RECAP | |||||||||||
2022-11-12 | @ | Rangers1,Predators4 | RECAP | |||||||||||
2022-11-13 | @ | Coyotes3,Rangers2 (OT) | RECAP | |||||||||||
2022-11-17 | @ | Rangers5,Kraken1 | RECAP | |||||||||||
2022-11-19 | @ | Rangers3,Sharks5 | RECAP | |||||||||||
2022-11-22 | @ | Rangers2,Kings4 | RECAP | |||||||||||
2022-11-23 | @ | Rangers3,Ducks4 | RECAP | |||||||||||
2022-11-26 | @ | Oilers4,Rangers3 (SO) | RECAP | |||||||||||
2022-11-28 | @ | Devils5,Rangers1 | RECAP | |||||||||||
2022-11-30 | @ | Rangers2,Senators5 | RECAP | |||||||||||
2022-12-02 | @ | Senators4,Rangers1 | RECAP | |||||||||||
2022-12-03 | @ | Blackhawks3,Rangers1 | RECAP | |||||||||||
2022-12-05 | @ | Blues6,Rangers1 | RECAP | |||||||||||
2022-12-07 | @ | Rangers5,Golden Knights4 | RECAP | |||||||||||
2022-12-09 | @ | Rangers4,Avalanche2 | RECAP | |||||||||||
2022-12-12 | @ | Devils3,Rangers0 | RECAP | |||||||||||
2022-12-15 | @ | Maple Leafs3,Rangers4 (OT) | RECAP | |||||||||||
2022-12-17 | @ | Rangers1,Flyers2 (SO) | RECAP | |||||||||||
2022-12-18 | @ | Rangers1,Blackhawks5 | RECAP | |||||||||||
2022-12-20 | @ | Rangers2,Penguins3 | RECAP | |||||||||||
2022-12-22 | @ | Islanders3,Rangers4 (OT) | RECAP | |||||||||||
2022-12-27 | @ | Capitals4,Rangers3 | RECAP | |||||||||||
2022-12-29 | @ | Rangers3,Lightning2 (OT) | RECAP | |||||||||||
2023-01-01 | @ | Rangers1,Panthers2 (SO) | RECAP | |||||||||||
2023-01-03 | @ | Hurricanes5,Rangers1 | RECAP | |||||||||||
2023-01-05 | @ | Rangers2,Canadiens3 (SO) | RECAP | |||||||||||
2023-01-07 | @ | Rangers3,Devils7 | RECAP | |||||||||||
2023-01-10 | @ | Wild2,Rangers1 | RECAP | |||||||||||
2023-01-12 | @ | Stars1,Rangers4 | RECAP | |||||||||||
2023-01-15 | @ | Canadiens3,Rangers4 | RECAP | |||||||||||
2023-01-16 | @ | Rangers0,Blue Jackets5 | RECAP | |||||||||||
2023-01-19 | @ | Bruins4,Rangers2 | RECAP | |||||||||||
2023-01-23 | @ | Panthers3,Rangers5 | RECAP | |||||||||||
2023-01-25 | @ | Rangers1,Maple Leafs2 (OT) | RECAP | |||||||||||
2023-01-27 | @ | Golden Knights3,Rangers4 (OT) | RECAP | |||||||||||
2023-02-06 | @ | Flames5,Rangers3 | RECAP | |||||||||||
2023-02-08 | @ | Canucks1,Rangers5 | RECAP | |||||||||||
2023-02-10 | @ | Kraken6,Rangers2 | RECAP | |||||||||||
2023-02-11 | @ | Rangers2,Hurricanes4 | RECAP | |||||||||||
2023-02-15 | @ | Rangers2,Canucks3 | RECAP | |||||||||||
2023-02-17 | @ | Rangers0,Oilers3 | RECAP | |||||||||||
2023-02-18 | @ | Rangers4,Flames2 | RECAP | |||||||||||
2023-02-20 | @ | Jets1,Rangers2 | RECAP | |||||||||||
2023-02-23 | @ | Rangers1,Red Wings5 | RECAP | |||||||||||
2023-02-25 | @ | Rangers2,Capitals3 (OT) | RECAP | |||||||||||
2023-02-26 | @ | Kings4,Rangers3 | RECAP | |||||||||||
2023-03-01 | @ | Rangers3,Flyers2 (SO) | RECAP | |||||||||||
2023-03-02 | @ | Senators0,Rangers1 | RECAP | |||||||||||
2023-03-04 | @ | Rangers2,Bruins4 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-09 | @ | Rangers0,Canadiens4 | RECAP | |||||||||||
2023-03-11 | @ | Rangers2,Sabres4 | RECAP | |||||||||||
2023-03-12 | @ | Rangers1,Penguins4 | RECAP | |||||||||||
2023-03-14 | @ | Capitals1,Rangers4 | RECAP | |||||||||||
2023-03-16 | @ | Penguins4,Rangers3 | RECAP | |||||||||||
2023-03-18 | @ | |||||||||||||
2023-03-19 | @ | |||||||||||||
2023-03-21 | @ | |||||||||||||
2023-03-23 | @ | |||||||||||||
2023-03-25 | @ | |||||||||||||
2023-03-28 | @ | |||||||||||||
2023-03-30 | @ | |||||||||||||
2023-03-31 | @ | |||||||||||||
2023-04-02 | @ | |||||||||||||
2023-04-05 | @ | |||||||||||||
2023-04-06 | @ | |||||||||||||
2023-04-08 | @ | |||||||||||||
2023-04-10 | @ | |||||||||||||
2023-04-13 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
61,620,833$ | 0$ | 61,553,924$ | 20,879,167$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 187476 | 156532 | 64107 | 128269 | 31482 |
Attendance PCT | 91.90% | 92.08% | 94.28% | 94.32% | 92.59% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
7 | 16702 - 92.79% | 1,466,411$ | 49,857,986$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
61,620,833$ | 61,620,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
55,621,750$ | 284,630$ | 53,868,914$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
10,264,879$ | 27 | 331,327$ | 8,945,829$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
9,247,529$ | 61,620,833$ | 55,574,848$ | 56,592,198$ |
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2023 | |||||||
2024 | |||||||
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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 |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Anton Johannesson | 2020 | 73 | |||
Anton Olsson | 2021 | 49 | |||
Antonin Verreault | 2022 | 87 | |||
Ben King | 2020 | 204 | |||
Cade Webber | 2019 | 117 | |||
Carson Lambos | 2021 | 19 | |||
Chase Stillman | 2021 | 52 | |||
David Jiricek | 2022 | 6 | |||
Denton Mateychuk | 2022 | 10 | |||
Dick Axelsson | |||||
Eamon Powell | 2020 | 88 | |||
Isaac Howard | 2022 | 19 | |||
Jakub Brabenec | 2021 | 108 | |||
Jayden Grubbe | 2021 | 93 | |||
Jeremias Lindewall | |||||
Jeremy Langlois | 2022 | 97 | |||
Joaquim Lemay | 2021 | 140 | |||
Joey Muldowney | 2022 | 194 | |||
Jonathan Lekkerimaki | 2022 | 9 | |||
Kevin Korchinski | 2022 | 16 | |||
Kim Nousiainen | 2019 | 148 | 7.0 - 3.5 | ||
Logan Cooley | 2022 | 2 | |||
Lucas Feuk | 2019 | 133 | |||
Mathew Ward | 2022 | 112 | |||
Matteo Costantini | |||||
Matthew Coronato | 2021 | 12 | |||
Matthew Savoie | 2022 | 3 | |||
Max McCue | 2021 | 177 | |||
Ryan McCleary | 2021 | 208 | |||
Ryan O'Reilly (F) | |||||
Ryan Winterton | 2021 | 83 | |||
Shane LaChance | 2021 | 204 | |||
Tyson Jugnauth | 2022 | 115 | |||
Victor Mancini | 2022 | 189 | |||
Vincent Iorio | 2021 | 76 | |||
William Stromgren | 2021 | 42 | |||
William Von Barnekow | 2021 | 190 | |||
Yegor Serdyuk | 2019 | 179 |
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