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Full Scoreboard »» |
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Full Scoreboard »» |
New Jersey Devils 0-0-0, 0pts · 13th 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 | C | 100.00 | 63 | 32 | 92 | 81 | 70 | 89 | 88 | 78 | 95 | 77 | 82 | 77 | 80 | 70 | 80 | 0 | 38 | 87 | 26 | 7,250,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 78 | 36 | 88 | 69 | 77 | 83 | 89 | 68 | 60 | 71 | 73 | 59 | 71 | 74 | 73 | 0 | 38 | 80 | 29 | 4,250,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 35 | 93 | 69 | 69 | 82 | 90 | 69 | 58 | 73 | 72 | 59 | 70 | 76 | 75 | 0 | 38 | 80 | 30 | 4,750,000$/3yrs | |||
![]() | 0 | C | 100.00 | 72 | 33 | 90 | 75 | 78 | 84 | 85 | 68 | 78 | 68 | 76 | 61 | 72 | 59 | 58 | 0 | 38 | 80 | 20 | 950,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 78 | 53 | 50 | 70 | 84 | 89 | 60 | 70 | 82 | 62 | 62 | 69 | 89 | 78 | 92 | 0 | 23 | 78 | 32 | 7,000,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 34 | 73 | 70 | 75 | 82 | 89 | 68 | 59 | 70 | 71 | 54 | 69 | 75 | 72 | 0 | 38 | 78 | 29 | 4,000,000$/3yrs | |||
![]() | 19 | LW/RW | 100.00 | 81 | 43 | 83 | 58 | 75 | 71 | 69 | 60 | 76 | 66 | 60 | 70 | 60 | 73 | 71 | 0 | 28 | 74 | 28 | 1,250,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 32 | 94 | 64 | 68 | 74 | 75 | 61 | 58 | 66 | 61 | 62 | 61 | 68 | 67 | 0 | 38 | 73 | 25 | 775,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 89 | 34 | 86 | 56 | 86 | 75 | 78 | 59 | 60 | 59 | 62 | 59 | 61 | 76 | 74 | 0 | 40 | 72 | 30 | 2,000,000$/6yrs | |||
![]() | 0 | C/LW | 100.00 | 64 | 36 | 84 | 55 | 80 | 77 | 88 | 56 | 61 | 61 | 55 | 68 | 56 | 79 | 78 | 0 | 51 | 71 | 32 | 1,450,000$/3yrs | |||
![]() | 29 | LW/RW | 100.00 | 69 | 41 | 76 | 60 | 84 | 68 | 71 | 62 | 66 | 59 | 61 | 65 | 60 | 65 | 62 | 0 | 37 | 71 | 24 | 775,000$/2yrs | |||
![]() | 11 | LW | 100.00 | 91 | 73 | 50 | 55 | 83 | 71 | 81 | 56 | 57 | 58 | 56 | 60 | 56 | 76 | 71 | 0 | 39 | 70 | 30 | 1,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 34 | 79 | 75 | 94 | 89 | 78 | 62 | 30 | 77 | 67 | 63 | 64 | 79 | 77 | 0 | 41 | 83 | 31 | 8,000,000$/6yrs | |||
![]() | 0 | D | 100.00 | 66 | 32 | 85 | 69 | 72 | 93 | 77 | 68 | 30 | 75 | 57 | 73 | 63 | 83 | 81 | 0 | 38 | 82 | 34 | 6,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 62 | 37 | 73 | 66 | 76 | 93 | 81 | 63 | 30 | 71 | 63 | 72 | 63 | 69 | 67 | 0 | 38 | 79 | 26 | 6,000,000$/8yrs | |||
![]() | 0 | D | 100.00 | 67 | 32 | 82 | 58 | 74 | 87 | 84 | 58 | 30 | 64 | 61 | 72 | 60 | 70 | 68 | 0 | 38 | 75 | 26 | 2,500,000$/5yrs | |||
![]() | 0 | D | 100.00 | 70 | 36 | 84 | 55 | 90 | 84 | 85 | 56 | 30 | 58 | 55 | 75 | 55 | 75 | 73 | 0 | 38 | 73 | 29 | 5,000,000$/5yrs | |||
![]() | 0 | D | 100.00 | 64 | 32 | 66 | 61 | 67 | 85 | 76 | 59 | 30 | 65 | 53 | 62 | 56 | 66 | 63 | 0 | 34 | 73 | 25 | 1,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 66 | 40 | 81 | 59 | 81 | 68 | 69 | 63 | 42 | 59 | 61 | 66 | 60 | 66 | 65 | 0 | 18 | 72 | 24 | 900,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 71 | 38 | 79 | 64 | 78 | 81 | 80 | 63 | 54 | 66 | 64 | 66 | 65 | 72 | 72 | 0 | 36 | 76 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 69 | 60 | 67 | 79 | 67 | 75 | 70 | 69 | 75 | 74 | 71 | 65 | 69 | 0 | 23 | 75 | 25 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 98.00 | 81 | 90 | 79 | 88 | 89 | 78 | 89 | 92 | 87 | 92 | 89 | 74 | 79 | 0 | 24 | 90 | 28 | 2,600,000$/2yrs |
![]() | 0 | 100.00 | 74 | 74 | 71 | 83 | 82 | 74 | 83 | 85 | 83 | 85 | 83 | 87 | 91 | 0 | 47 | 85 | 37 | 2,750,000$/3yrs |
TEAM AVERAGE | 99.33 | 75 | 75 | 72 | 83 | 79 | 76 | 81 | 82 | 82 | 84 | 81 | 75 | 80 | 0 | 31 | 83 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter DeBoer | 68 | 87 | 91 | 71 | 86 | 84 | 87 | CAN | 68 | 5 | 1,000,000$ |
General Manager | David Plouffe |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 |
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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 |
# | 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 |
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Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Devils Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fantilli ![]() | C | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Adin Hill | G | 28 | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | |||||
Calen Addison ![]() | D | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Dante Fabbro ![]() | D | 26 | 2,500,000$ | 2,500,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||
Dougie Hamilton ![]() | D | 31 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |
Gabriel Landeskog ![]() | C/LW/RW | 32 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||
Ivan Barbashev ![]() | C/LW/RW | 29 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | ||||
Justin Kirkland ![]() | LW/RW | 28 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Liam O'Brien ![]() | LW | 30 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Mattias Janmark ![]() | C/LW | 32 | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | UFA | ||||
Michael Bunting ![]() | LW/RW | 29 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Nico Hischier ![]() | C | 26 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | ||||
Nolan Foote ![]() | LW | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Oliver Bjorkstrand ![]() | LW/RW | 30 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||||
Ryan Fanti ![]() | G | 25 | 775,000$ | 775,000$ | |||||||
Ryan Graves ![]() | D | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Sam Poulin ![]() | LW/RW | 24 | 775,000$ | 775,000$ | 775,000$ | ||||||
Sean Durzi ![]() | D | 26 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ |
Semyon Varlamov | G | 37 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||
Torey Krug ![]() | D | 34 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Valtteri Puustinen ![]() | LW/RW | 25 | 775,000$ | 775,000$ | 775,000$ | ||||||
William Carrier ![]() | LW | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aidan Fulp ![]() | D | 25 | 870,000$ | 870,000$ | ![]() | ||||||
Cole Hults ![]() | D | 26 | 0$ | ![]() | |||||||
Daniil Misyul ![]() | D | 24 | 867,500$ | 867,500$ | RFA | ||||||
Dean Stewart ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Declan Carlile ![]() | D | 22 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Filip Lindberg ![]() | G | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Gavin Hayes ![]() | LW | 20 | 896,667$ | 896,667$ | 896,667$ | RFA | |||||
Ian Mitchell ![]() | D | 26 | 955,000$ | 955,000$ | ![]() | ||||||
Ilya Konovalov ![]() | G | 26 | 0$ | ![]() | |||||||
James Stefan ![]() | RW | 22 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Jamieson Rees ![]() | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Josiah Slavin ![]() | C | 26 | 850,000$ | 850,000$ | ![]() | ||||||
Justin Hryckowian ![]() | C | 24 | 870,000$ | 870,000$ | 870,000$ | ![]() | |||||
Kasimir Kaskisuo ![]() | G | 31 | 850,000$ | 850,000$ | UFA | ||||||
Kristian Reichel ![]() | RW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Kyle Okposo ![]() | RW | 37 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Logan Couture ![]() | C | 36 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Logan Morrison ![]() | C | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Lucas Edmonds ![]() | LW/RW | 24 | 861,667$ | 861,667$ | RFA | ||||||
Nick Merkley ![]() | RW | 27 | 0$ | UFA | |||||||
Nick Swaney ![]() | RW | 27 | 850,000$ | 850,000$ | ![]() | ||||||
Owen Pickering ![]() | D | 21 | 950,000$ | 950,000$ | RFA | ||||||
Roby Jarventie ![]() | LW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Spencer Smallman ![]() | RW | 28 | 900,000$ | 900,000$ | UFA | ||||||
Tomas Hamara ![]() | D | 21 | 831,667$ | 831,667$ | 831,667$ | RFA | |||||
Tomas Vomacka ![]() | G | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Travis Mitchell ![]() | D | 25 | 882,500$ | 882,500$ | ![]() | ||||||
Tyler Boucher ![]() | RW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Victor Berglund ![]() | D | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Yaniv Perets ![]() | G | 25 | 805,000$ | 805,000$ | ![]() |
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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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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 | |
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Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
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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 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
72,225,000$ | 0$ | 0$ | 15,775,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Prudential Center | |
City | New Jersey | ||
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 |
72,225,000$ | 72,225,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 72,225,000$ | 76,469,352$ | 76,469,352$ |
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 | Ronde 8 |
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2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
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 |
---|---|---|---|---|---|
Alexander Plesovskikh | 2024 | 179 | |||
Andrew Basha | 2024 | 20 | |||
Brett Hyland | 2023 | 215 | |||
Carter Sotheran | 2023 | 118 | |||
Conner Roulette | 2021 | 50 | |||
David Klee | 2023 | 209 | |||
Elliott Groenewold | 2024 | 136 | |||
Emil Jarventie | 2023 | 173 | |||
Fisher Scott | 2024 | 223 | |||
Ivan Yunin | 2024 | 153 | |||
John Mustard | 2024 | 59 | |||
Larry Keenan | 2023 | 139 | |||
Leevi Aaltonen | 2019 | 154 | |||
Liam Dower-Nilsson | 2021 | 118 | |||
Michael Hage | 2024 | 19 | |||
Oliver Bonk | 2023 | 29 | |||
Owen Protz | 2024 | 118 | |||
Patrick Thomas | 2023 | 126 | |||
Ryder Donovan | 2019 | 112 | 6.0 - 4.5 | ||
Sam Rinzel | 2022 | 58 | |||
Yevgeni Kashnikov | 2021 | 215 |