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New York City Rangers Team Overall:70 0-0-0, 0pts |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||||
0 | ![]() | LW | 6' 0" | 173 | 31 | 67 | 40 | 81 | 87 | 66 | 82 | 89 | 81 | 54 | 89 | 78 | 70 | 83 | 73 | 67 | 0 | 40 | 81 | 100.00 | 11,642,857$/1yrs | |
0 | ![]() | C/RW | 6' 6" | 220 | 25 | 70 | 64 | 81 | 83 | 82 | 80 | 89 | 83 | 68 | 85 | 87 | 63 | 66 | 64 | 59 | 0 | 40 | 81 | 100.00 | 1,137,500$/1yrs | |
0 | ![]() | RW | 6' 1" | 228 | 31 | 70 | 40 | 91 | 73 | 94 | 76 | 85 | 71 | 52 | 81 | 73 | 66 | 71 | 76 | 70 | 0 | 40 | 77 | 100.00 | 7,500,000$/2yrs | |
0 | ![]() | RW | 5' 10" | 177 | 34 | 63 | 40 | 87 | 78 | 71 | 82 | 88 | 73 | 53 | 81 | 73 | 63 | 59 | 93 | 73 | 0 | 40 | 76 | 100.00 | 10,500,000$/1yrs | |
0 | ![]() | LW | 5' 10" | 195 | 28 | 71 | 40 | 85 | 81 | 81 | 79 | 83 | 71 | 52 | 82 | 70 | 60 | 69 | 59 | 58 | 0 | 40 | 75 | 100.00 | 925,000$/2yrs | |
0 | ![]() | C | 6' 1" | 207 | 22 | 70 | 40 | 80 | 71 | 83 | 77 | 87 | 67 | 81 | 76 | 69 | 75 | 54 | 60 | 58 | 0 | 40 | 74 | 100.00 | 2,644,167$/1yrs | |
0 | ![]() | C | 6' 1" | 195 | 27 | 79 | 66 | 83 | 72 | 76 | 75 | 93 | 67 | 59 | 79 | 68 | 69 | 54 | 68 | 59 | 0 | 40 | 74 | 100.00 | 1,475,000$/2yrs | |
0 | ![]() | LW | 5' 9" | 179 | 30 | 71 | 40 | 86 | 75 | 74 | 73 | 91 | 65 | 62 | 75 | 67 | 71 | 57 | 71 | 59 | 0 | 40 | 73 | 100.00 | 3,000,000$/1yrs | |
0 | ![]() | LW | 6' 2" | 190 | 27 | 78 | 40 | 85 | 73 | 72 | 71 | 92 | 67 | 60 | 76 | 69 | 69 | 54 | 63 | 59 | 0 | 40 | 73 | 100.00 | 1,775,000$/1yrs | |
0 | ![]() | RW | 5' 11" | 197 | 29 | 70 | 40 | 81 | 72 | 80 | 75 | 91 | 66 | 55 | 74 | 71 | 65 | 55 | 70 | 65 | 0 | 40 | 73 | 100.00 | 2,533,333$/1yrs | |
0 | ![]() | C | 6' 1" | 202 | 35 | 68 | 40 | 83 | 72 | 80 | 76 | 71 | 66 | 76 | 77 | 64 | 70 | 69 | 90 | 61 | 0 | 40 | 73 | 100.00 | 8,575,000$/3yrs | |
0 | ![]() | C | 6' 1" | 195 | 28 | 75 | 68 | 85 | 71 | 76 | 70 | 84 | 63 | 77 | 74 | 67 | 75 | 54 | 61 | 58 | 0 | 40 | 72 | 100.00 | 925,000$/1yrs | |
0 | ![]() | LW | 6' 2" | 198 | 27 | 79 | 40 | 81 | 67 | 77 | 66 | 88 | 64 | 56 | 75 | 68 | 72 | 54 | 65 | 59 | 0 | 40 | 72 | 100.00 | 800,000$/1yrs | |
0 | ![]() | LW | 5' 11" | 198 | 28 | 67 | 40 | 84 | 73 | 81 | 71 | 75 | 66 | 68 | 81 | 59 | 65 | 58 | 70 | 59 | 0 | 40 | 71 | 100.00 | 5,500,000$/1yrs | |
0 | ![]() | C | 6' 2" | 196 | 24 | 73 | 40 | 90 | 70 | 76 | 63 | 75 | 60 | 69 | 71 | 65 | 80 | 68 | 59 | 58 | 0 | 40 | 71 | 100.00 | 1,491,667$/1yrs | |
0 | ![]() | C | 6' 0" | 190 | 29 | 65 | 40 | 84 | 70 | 75 | 75 | 90 | 64 | 70 | 74 | 67 | 68 | 54 | 63 | 59 | 0 | 40 | 71 | 100.00 | 800,000$/1yrs | |
0 | ![]() | C | 5' 11" | 179 | 26 | 70 | 40 | 92 | 65 | 71 | 69 | 90 | 61 | 70 | 71 | 68 | 77 | 79 | 61 | 58 | 0 | 40 | 71 | 100.00 | 1,775,000$/2yrs | |
0 | ![]() | LW | 6' 1" | 188 | 27 | 76 | 40 | 88 | 67 | 73 | 61 | 85 | 62 | 53 | 74 | 64 | 73 | 54 | 68 | 59 | 0 | 40 | 70 | 100.00 | 2,800,000$/1yrs | |
0 | ![]() | C | 6' 1" | 203 | 23 | 78 | 40 | 83 | 71 | 81 | 66 | 88 | 60 | 66 | 71 | 63 | 73 | 54 | 59 | 58 | 0 | 40 | 70 | 100.00 | 1,243,750$/1yrs | |
0 | ![]() | C | 6' 3" | 200 | 24 | 73 | 66 | 88 | 67 | 76 | 60 | 85 | 64 | 75 | 76 | 64 | 67 | 54 | 60 | 58 | 0 | 40 | 70 | 100.00 | 800,000$/1yrs | |
0 | ![]() | LW | 6' 2" | 210 | 24 | 74 | 71 | 82 | 62 | 83 | 68 | 82 | 61 | 64 | 71 | 65 | 69 | 58 | 61 | 58 | 0 | 40 | 69 | 100.00 | 925,000$/2yrs | |
0 | ![]() | RW | 6' 0" | 207 | 27 | 84 | 65 | 77 | 62 | 84 | 62 | 83 | 59 | 55 | 72 | 61 | 76 | 54 | 61 | 58 | 0 | 40 | 69 | 100.00 | 700,000$/1yrs | |
0 | ![]() | LW | 6' 1" | 191 | 26 | 73 | 40 | 86 | 63 | 74 | 60 | 88 | 59 | 56 | 71 | 62 | 71 | 54 | 65 | 59 | 0 | 40 | 68 | 100.00 | 1,137,500$/1yrs | |
0 | ![]() | LW | 5' 9" | 181 | 24 | 69 | 48 | 75 | 66 | 66 | 69 | 61 | 63 | 53 | 64 | 68 | 67 | 54 | 57 | 56 | 0 | 40 | 68 | 100.00 | 750,000$/2yrs | |
0 | ![]() | LW | 5' 10" | 162 | 26 | 54 | 57 | 67 | 61 | 57 | 68 | 65 | 63 | 55 | 62 | 60 | 59 | 54 | 64 | 58 | 0 | 40 | 63 | 100.00 | 1,350,000$/1yrs | |
0 | ![]() | RW | 6' 4" | 216 | 22 | 55 | 57 | 65 | 63 | 71 | 66 | 64 | 61 | 55 | 58 | 63 | 62 | 54 | 57 | 54 | 0 | 40 | 63 | 100.00 | 925,000$/3yrs | |
0 | ![]() | C | 5' 10" | 155 | 24 | 55 | 57 | 69 | 60 | 54 | 66 | 63 | 60 | 68 | 62 | 59 | 62 | 54 | 58 | 55 | 0 | 40 | 62 | 100.00 | 1,775,000$/1yrs | |
0 | ![]() | LW | 6' 0" | 190 | 26 | 56 | 51 | 72 | 58 | 66 | 64 | 62 | 59 | 54 | 63 | 58 | 63 | 57 | 63 | 58 | 0 | 40 | 62 | 100.00 | 1,066,667$/1yrs | |
0 | ![]() | RW | 6' 4" | 214 | 27 | 55 | 58 | 65 | 62 | 70 | 65 | 64 | 59 | 55 | 56 | 61 | 59 | 54 | 66 | 59 | 0 | 40 | 62 | 100.00 | 750,000$/1yrs | |
0 | ![]() | LW | 5' 11" | 182 | 26 | 57 | 50 | 73 | 61 | 64 | 60 | 62 | 57 | 54 | 60 | 60 | 61 | 54 | 61 | 57 | 0 | 40 | 62 | 100.00 | 925,000$/1yrs | |
0 | ![]() | C | 6' 0" | 179 | 27 | 55 | 54 | 66 | 58 | 60 | 64 | 63 | 60 | 70 | 59 | 58 | 61 | 54 | 64 | 58 | 0 | 40 | 61 | 100.00 | 925,000$/1yrs | |
0 | ![]() | D | 6' 3" | 215 | 33 | 66 | 40 | 85 | 89 | 84 | 92 | 77 | 70 | 40 | 81 | 67 | 77 | 58 | 85 | 69 | 0 | 40 | 79 | 100.00 | 8,000,000$/1yrs | |
0 | ![]() | D | 6' 0" | 197 | 31 | 71 | 64 | 86 | 82 | 79 | 83 | 83 | 68 | 40 | 82 | 63 | 79 | 54 | 66 | 59 | 0 | 40 | 77 | 100.00 | 1,200,000$/1yrs | |
0 | ![]() | D | 6' 0" | 190 | 25 | 68 | 40 | 83 | 75 | 75 | 88 | 87 | 69 | 40 | 81 | 64 | 87 | 54 | 64 | 59 | 0 | 40 | 77 | 100.00 | 913,333$/1yrs | |
0 | ![]() | D | 6' 0" | 185 | 27 | 79 | 64 | 81 | 81 | 73 | 88 | 94 | 64 | 40 | 76 | 64 | 78 | 54 | 67 | 59 | 0 | 40 | 76 | 100.00 | 3,000,000$/1yrs | |
0 | ![]() | D | 6' 1" | 190 | 21 | 75 | 69 | 74 | 75 | 74 | 88 | 71 | 67 | 40 | 76 | 69 | 81 | 54 | 57 | 58 | 0 | 40 | 76 | 100.00 | 3,394,167$/1yrs | |
0 | ![]() | D | 6' 2" | 185 | 23 | 67 | 40 | 77 | 74 | 70 | 72 | 76 | 61 | 40 | 74 | 61 | 76 | 54 | 57 | 58 | 0 | 40 | 71 | 100.00 | 1,075,833$/1yrs | |
0 | ![]() | D | 6' 3" | 210 | 32 | 69 | 65 | 75 | 63 | 81 | 67 | 67 | 59 | 40 | 71 | 63 | 77 | 54 | 72 | 59 | 0 | 40 | 70 | 100.00 | 725,000$/1yrs | |
0 | ![]() | D | 6' 0" | 202 | 26 | 65 | 41 | 86 | 58 | 80 | 67 | 67 | 53 | 40 | 66 | 59 | 79 | 54 | 63 | 58 | 0 | 40 | 67 | 100.00 | 863,000$/1yrs | |
0 | ![]() | D | 5' 11" | 190 | 24 | 54 | 58 | 67 | 62 | 61 | 67 | 65 | 62 | 40 | 62 | 56 | 59 | 54 | 61 | 56 | 0 | 40 | 62 | 100.00 | 910,833$/1yrs | |
0 | ![]() | D | 6' 3" | 222 | 25 | 59 | 49 | 70 | 55 | 78 | 64 | 58 | 54 | 40 | 59 | 56 | 66 | 54 | 59 | 57 | 0 | 40 | 62 | 100.00 | 810,000$/1yrs | |
0 | ![]() | D | 6' 3" | 212 | 23 | 55 | 55 | 65 | 60 | 69 | 64 | 63 | 59 | 40 | 59 | 57 | 59 | 54 | 59 | 55 | 0 | 40 | 61 | 100.00 | 800,000$/2yrs | |
0 | ![]() | D | 6' 1" | 192 | 23 | 55 | 54 | 66 | 58 | 63 | 66 | 64 | 58 | 40 | 58 | 55 | 57 | 54 | 57 | 54 | 0 | 40 | 60 | 100.00 | 896,667$/2yrs | |
0 | ![]() | D | 6' 3" | 194 | 24 | 56 | 54 | 65 | 58 | 65 | 63 | 62 | 56 | 40 | 56 | 55 | 60 | 54 | 59 | 55 | 0 | 40 | 60 | 100.00 | 925,000$/3yrs | |
0 | ![]() | D | 6' 0" | 185 | 23 | 54 | 55 | 67 | 56 | 61 | 60 | 59 | 55 | 40 | 55 | 55 | 60 | 54 | 57 | 54 | 0 | 40 | 59 | 100.00 | 925,000$/3yrs | |
0 | ![]() | D | 6' 0" | 179 | 23 | 55 | 54 | 67 | 55 | 60 | 60 | 59 | 55 | 40 | 55 | 54 | 60 | 54 | 57 | 54 | 0 | 40 | 58 | 100.00 | 871,667$/3yrs |
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 | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
0 | ![]() | 6' 3" | 200 | 28 | 77 | 92 | 93 | 73 | 84 | 84 | 60 | 57 | 0 | 40 | 80 | 100.00 | 700,000$/1yrs | |||||||
0 | ![]() | 6' 4" | 215 | 27 | 82 | 72 | 71 | 75 | 85 | 89 | 60 | 55 | 0 | 40 | 77 | 100.00 | 708,750$/1yrs | |||||||
0 | ![]() | 6' 3" | 193 | 30 | 71 | 72 | 72 | 75 | 82 | 79 | 61 | 55 | 0 | 40 | 76 | 100.00 | 700,000$/2yrs | |||||||
0 | ![]() | 6' 1" | 209 | 31 | 63 | 65 | 65 | 60 | 67 | 63 | 73 | 63 | 0 | 40 | 64 | 100.00 | 750,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Bowness | 83 | 89 | 82 | 87 | 99 | 93 | 42 | CAN | 68 | 2 | 750,000$ |
General Manager | Cédric Morin |
---|
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 |
---|
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 |
---|
Projected Total Cap Hit | 0$ |
Projected Cap Space | 91,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 50 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 | 2027-2028 | 2028-2029 | 2029-2030 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Brooks ![]() | C | 27 | 925,000$ | 925,000$ | |||||||
Adin Hill ![]() | D | 27 | 708,750$ | 708,750$ | |||||||
Aleksi Heponiemi ![]() | C | 24 | 1,775,000$ | 1,775,000$ | |||||||
Alexander Barabanov ![]() | LW | 28 | 925,000$ | 925,000$ | 925,000$ | ||||||
Anders Bjork ![]() | LW | 26 | 1,066,667$ | 1,066,667$ | |||||||
Anton Forsberg ![]() | C | 30 | 700,000$ | 700,000$ | 700,000$ | ||||||
Artemi Panarin ![]() | LW | 31 | 11,642,857$ | 11,642,857$ | |||||||
Axel Andersson ![]() | D | 23 | 871,667$ | 871,667$ | 871,667$ | 871,667$ | |||||
Barrett Hayton ![]() | C | 22 | 2,644,167$ | 2,644,167$ | |||||||
Bowen Byram ![]() | D | 21 | 3,394,167$ | 3,394,167$ | |||||||
Brady Lyle ![]() | D | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
Calvin Pickard ![]() | RW | 31 | 750,000$ | 750,000$ | |||||||
Cam Dineen ![]() | D | 24 | 910,833$ | 910,833$ | |||||||
Conor Sheary ![]() | LW | 30 | 3,000,000$ | 3,000,000$ | |||||||
Danton Heinen ![]() | LW | 27 | 2,800,000$ | 2,800,000$ | |||||||
Dominik Kubalik ![]() | LW | 27 | 1,775,000$ | 1,775,000$ | |||||||
Erik Gustafsson ![]() | D | 31 | 1,200,000$ | 1,200,000$ | |||||||
Filip Hronek ![]() | D | 25 | 913,333$ | 913,333$ | |||||||
Frank Vatrano ![]() | RW | 29 | 2,533,333$ | 2,533,333$ | |||||||
Ivan Barbashev ![]() | C | 27 | 1,475,000$ | 1,475,000$ | 1,475,000$ | ||||||
Jared McIsaac ![]() | D | 23 | 896,667$ | 896,667$ | 896,667$ | ||||||
Joe Veleno ![]() | C | 23 | 1,243,750$ | 1,243,750$ | |||||||
John Carlson ![]() | D | 33 | 8,000,000$ | 8,000,000$ | |||||||
Jonathan Drouin ![]() | LW | 28 | 5,500,000$ | 5,500,000$ | |||||||
Justin Bailey ![]() | RW | 27 | 750,000$ | 750,000$ | |||||||
Max Comtois ![]() | LW | 24 | 925,000$ | 925,000$ | 925,000$ | ||||||
Max Gildon ![]() | D | 24 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Michael Stone ![]() | D | 32 | 750,000$ | 750,000$ | |||||||
Morgan Geekie ![]() | C | 24 | 800,000$ | 800,000$ | |||||||
Neal Pionk ![]() | D | 27 | 3,000,000$ | 3,000,000$ | |||||||
Nicklas Backstrom ![]() | C | 35 | 9,200,000$ | 9,200,000$ | 9,200,000$ | 9,200,000$ | |||||
Nicolas Aube-Kubel ![]() | RW | 27 | 700,000$ | 700,000$ | |||||||
Nikolai Knyzhov ![]() | D | 25 | 810,000$ | 810,000$ | |||||||
Oskar Lindblom ![]() | LW | 26 | 1,137,500$ | 1,137,500$ | |||||||
Patrick Kane ![]() | RW | 34 | 10,500,000$ | 10,500,000$ | |||||||
Peter Diliberatore ![]() | D | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Pierre-Olivier Joseph ![]() | D | 23 | 1,075,833$ | 1,075,833$ | |||||||
Pius Suter ![]() | C | 26 | 1,775,000$ | 1,775,000$ | 1,775,000$ | ||||||
Rafael Harvey-Pinard ![]() | LW | 24 | 750,000$ | 750,000$ | 750,000$ | ||||||
Raphael Lavoie ![]() | RW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Rudolfs Balcers ![]() | LW | 26 | 925,000$ | 925,000$ | |||||||
Ryan Poehling ![]() | C | 24 | 1,491,667$ | 1,491,667$ | |||||||
Sam Lafferty ![]() | C | 28 | 925,000$ | 925,000$ | |||||||
Tage Thompson ![]() | C/RW | 25 | 1,137,500$ | 1,137,500$ | |||||||
Taro Hirose ![]() | LW | 26 | 1,350,000$ | 1,350,000$ | |||||||
Travis Boyd ![]() | C | 29 | 800,000$ | 800,000$ | |||||||
Travis Dermott ![]() | D | 26 | 863,000$ | 863,000$ | |||||||
Ville Husso ![]() | C/LW | 28 | 700,000$ | 700,000$ | |||||||
Vladimir Tarasenko ![]() | RW | 31 | 7,500,000$ | 7,500,000$ | 7,500,000$ | ||||||
Warren Foegele ![]() | LW | 27 | 800,000$ | 800,000$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Goalies | |||||||
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
107,891,691$ | 0$ | 0$ | 91,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Madison Square Garden | |
City | New York City | ||
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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
107,891,691$ | 107,241,691$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 10,000,000$ | 10,000,000$ |
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DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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GOALIE | ||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
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 |
---|---|---|---|---|---|
Antonio Stranges | |||||
Ben McCartney | |||||
Daniil Chayka | |||||
Dmitri Voronkov | |||||
Dmitry Rashevsky | |||||
Greg Meireles | |||||
Ian Scott | |||||
Isak Rosen | |||||
Jakob Pelletier | |||||
Justin Robidas | |||||
Karl Henriksson | |||||
Luke Evangelista | |||||
Marat Khusnutdinov | |||||
Matvey Petrov | |||||
Mavrik Bourque | |||||
Nikita Alexandrov | |||||
Pasquale Zito | |||||
Peyton Krebs | |||||
Redmond Savage | |||||
Riley Kidney | |||||
Rodion Amirov | |||||
Sacha Pasturoj | |||||
Stanislav Svozil | |||||
Theodore Neiderbach | |||||
William Eklund |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
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 |
---|---|---|---|---|---|
Antonio Stranges | |||||
Ben McCartney | |||||
Daniil Chayka | |||||
Dmitri Voronkov | |||||
Dmitry Rashevsky | |||||
Greg Meireles | |||||
Ian Scott | |||||
Isak Rosen | |||||
Jakob Pelletier | |||||
Justin Robidas | |||||
Karl Henriksson | |||||
Luke Evangelista | |||||
Marat Khusnutdinov | |||||
Matvey Petrov | |||||
Mavrik Bourque | |||||
Nikita Alexandrov | |||||
Pasquale Zito | |||||
Peyton Krebs | |||||
Redmond Savage | |||||
Riley Kidney | |||||
Rodion Amirov | |||||
Sacha Pasturoj | |||||
Stanislav Svozil | |||||
Theodore Neiderbach | |||||
William Eklund |