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Full Scoreboard »» |
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Full Scoreboard »» |
New Jersey Devils 16-7-1, 33pts · 4th 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 | 75 | 36 | 91 | 84 | 81 | 87 | 90 | 79 | 86 | 81 | 80 | 93 | 76 | 84 | 99 | 0 | 60 | 93 | 34 | 8,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 60 | 32 | 94 | 89 | 70 | 87 | 90 | 82 | 92 | 84 | 82 | 86 | 82 | 68 | 79 | 0 | 60 | 92 | 24 | 7,250,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 66 | 34 | 79 | 76 | 92 | 86 | 87 | 78 | 61 | 85 | 75 | 71 | 77 | 88 | 86 | 0 | 60 | 88 | 37 | 8,250,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 60 | 32 | 99 | 81 | 74 | 82 | 90 | 79 | 61 | 78 | 82 | 67 | 80 | 81 | 93 | 0 | 60 | 88 | 32 | 5,000,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 32 | 96 | 80 | 69 | 83 | 90 | 80 | 59 | 83 | 79 | 60 | 79 | 74 | 73 | 0 | 60 | 87 | 28 | 4,750,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 83 | 33 | 71 | 81 | 77 | 84 | 83 | 75 | 84 | 78 | 76 | 80 | 75 | 72 | 68 | 0 | 60 | 87 | 27 | 4,425,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 43 | 73 | 73 | 65 | 85 | 89 | 76 | 83 | 78 | 74 | 84 | 75 | 79 | 83 | 0 | 61 | 86 | 31 | 5,166,666$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 60 | 32 | 93 | 83 | 71 | 83 | 90 | 76 | 61 | 77 | 80 | 77 | 78 | 62 | 61 | 0 | 60 | 86 | 22 | 894,167$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 62 | 32 | 95 | 74 | 72 | 82 | 90 | 73 | 83 | 75 | 73 | 82 | 73 | 77 | 76 | 0 | 60 | 85 | 30 | 2,125,000$/1yrs | |||
![]() | 0 | C | 100.00 | 63 | 33 | 86 | 80 | 78 | 81 | 90 | 76 | 76 | 76 | 77 | 67 | 76 | 57 | 55 | 0 | 52 | 84 | 19 | 950,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 67 | 35 | 82 | 69 | 83 | 82 | 88 | 72 | 75 | 74 | 74 | 71 | 73 | 85 | 99 | 0 | 60 | 83 | 35 | 2,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 65 | 32 | 91 | 72 | 70 | 83 | 90 | 70 | 58 | 74 | 72 | 64 | 71 | 69 | 68 | 0 | 50 | 81 | 26 | 3,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 34 | 88 | 73 | 90 | 89 | 89 | 71 | 30 | 73 | 66 | 87 | 68 | 73 | 72 | 0 | 60 | 86 | 28 | 5,000,000$/6yrs | |||
![]() | 0 | D | 100.00 | 58 | 48 | 50 | 78 | 76 | 94 | 90 | 71 | 30 | 80 | 82 | 76 | 76 | 68 | 63 | 0 | 60 | 86 | 25 | 1,700,000$/1yrs | |||
![]() | 0 | D | 99.00 | 65 | 33 | 83 | 71 | 78 | 91 | 87 | 67 | 30 | 80 | 68 | 65 | 68 | 77 | 76 | 0 | 60 | 84 | 31 | 6,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 68 | 33 | 89 | 64 | 80 | 89 | 90 | 69 | 30 | 73 | 60 | 81 | 64 | 91 | 90 | 0 | 60 | 84 | 38 | 3,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 38 | 87 | 63 | 78 | 86 | 88 | 71 | 30 | 71 | 62 | 89 | 66 | 79 | 78 | 0 | 60 | 84 | 32 | 3,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 68 | 34 | 95 | 62 | 85 | 82 | 75 | 64 | 30 | 68 | 50 | 76 | 57 | 64 | 64 | 0 | 60 | 78 | 24 | 825,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 0.00 | 78 | 53 | 50 | 86 | 84 | 89 | 73 | 86 | 82 | 84 | 91 | 69 | 89 | 78 | 92 | 0 | 40 | 93 | 31 | 7,000,000$/6yrs | |||
TEAM AVERAGE | 94.68 | 66 | 36 | 84 | 76 | 78 | 86 | 87 | 74 | 60 | 77 | 74 | 76 | 74 | 75 | 78 | 0 | 58 | 86 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 97 | 94 | 80 | 88 | 97 | 88 | 98 | 94 | 94 | 97 | 98 | 76 | 81 | 0 | 56 | 95 | 30 | 3,500,000$/1yrs |
![]() | 0 | 100.00 | 83 | 78 | 73 | 83 | 84 | 79 | 85 | 88 | 84 | 87 | 85 | 84 | 88 | 0 | 66 | 87 | 35 | 2,750,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 90 | 86 | 77 | 86 | 91 | 84 | 92 | 91 | 89 | 92 | 92 | 80 | 85 | 0 | 61 | 91 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter DeBoer | 70 | 87 | 97 | 74 | 99 | 91 | 87 | CAN | 67 | 1 | 1,000,000$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Logan Couture | 0 | C | 24 | 9 | 18 | 27 | -1 | 12 | 0 | 37 | 77 | 24 | 63 | 11.69% | 8 | 19.99 | 2 | 7 | 9 | 58 | 0 | 0 | 0 | 67 | 2 | 0 | 52.21% | 655 | 0 | 0 | 0 | 0 | 1.13 | 0 | 0 | |
2 | Nico Hischier | 0 | C | 24 | 13 | 13 | 26 | 10 | 4 | 0 | 6 | 83 | 21 | 65 | 15.66% | 11 | 19.06 | 3 | 4 | 7 | 75 | 0 | 0 | 0 | 23 | 0 | 2 | 52.85% | 579 | 0 | 0 | 0 | 0 | 1.14 | 0 | 2 | |
3 | Blake Wheeler | 0 | C/RW | 24 | 10 | 14 | 24 | 1 | 8 | 0 | 29 | 59 | 21 | 44 | 16.95% | 1 | 17.50 | 1 | 6 | 7 | 63 | 0 | 0 | 0 | 4 | 2 | 1 | 48.15% | 27 | 0 | 0 | 0 | 0 | 1.14 | 0 | 2 | |
4 | Dawson Mercer | 0 | C/RW | 24 | 6 | 14 | 20 | 8 | 0 | 0 | 6 | 76 | 14 | 49 | 7.89% | 5 | 17.48 | 2 | 3 | 5 | 74 | 0 | 0 | 0 | 0 | 0 | 2 | 36.67% | 30 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 | |
5 | Sam Bennett | 0 | C/LW/RW | 24 | 7 | 12 | 19 | 8 | 18 | 0 | 80 | 64 | 16 | 51 | 10.94% | 3 | 17.44 | 1 | 3 | 4 | 75 | 0 | 0 | 0 | 0 | 1 | 0 | 51.52% | 33 | 0 | 0 | 0 | 0 | 0.91 | 1 | 2 | |
6 | Ryan Graves | 0 | D | 24 | 0 | 15 | 15 | 5 | 18 | 0 | 39 | 14 | 8 | 22 | 0.00% | 33 | 19.80 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 55 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
7 | Reilly Smith | 0 | LW/RW | 24 | 5 | 10 | 15 | 0 | 0 | 0 | 12 | 55 | 16 | 50 | 9.09% | 3 | 17.38 | 2 | 3 | 5 | 63 | 0 | 0 | 0 | 13 | 0 | 0 | 29.63% | 27 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | |
8 | Sean Durzi | 0 | D | 24 | 7 | 7 | 14 | 9 | 30 | 0 | 49 | 35 | 10 | 21 | 20.00% | 28 | 20.04 | 4 | 1 | 5 | 60 | 0 | 0 | 0 | 0 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 1 | 0.58 | 0 | 0 | |
9 | Frederick Gaudreau | 0 | C/LW | 24 | 4 | 9 | 13 | 4 | 12 | 0 | 6 | 52 | 10 | 29 | 7.69% | 5 | 15.69 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 30 | 1 | 0 | 53.83% | 457 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
10 | Oliver Bjorkstrand | 0 | LW/RW | 24 | 6 | 6 | 12 | 5 | 4 | 0 | 20 | 58 | 21 | 38 | 10.34% | 3 | 17.70 | 1 | 3 | 4 | 71 | 0 | 0 | 0 | 0 | 2 | 0 | 30.43% | 23 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
11 | Yanni Gourde | 0 | C/LW | 24 | 6 | 6 | 12 | 3 | 11 | 5 | 44 | 48 | 11 | 37 | 12.50% | 7 | 17.40 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 71 | 0 | 0 | 35.48% | 31 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
12 | Ryan Suter | 0 | D | 24 | 1 | 8 | 9 | 3 | 4 | 0 | 20 | 9 | 1 | 3 | 11.11% | 28 | 16.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
13 | Kyle Okposo | 0 | RW | 24 | 3 | 4 | 7 | 3 | 0 | 0 | 7 | 33 | 6 | 24 | 9.09% | 2 | 8.37 | 0 | 1 | 1 | 61 | 0 | 0 | 0 | 0 | 2 | 0 | 80.00% | 10 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
14 | Alexander Alexeyev | 0 | D | 24 | 3 | 3 | 6 | 3 | 6 | 0 | 21 | 6 | 0 | 8 | 50.00% | 15 | 15.68 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 15 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
15 | John Klingberg | 0 | D | 24 | 2 | 4 | 6 | 4 | 12 | 0 | 23 | 15 | 4 | 6 | 13.33% | 17 | 22.84 | 1 | 1 | 2 | 69 | 0 | 0 | 0 | 55 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
16 | Trevor van Riemsdyk | 0 | D | 24 | 1 | 4 | 5 | 9 | 6 | 0 | 10 | 13 | 2 | 9 | 7.69% | 37 | 19.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
17 | Adam Fantilli | 0 | C | 11 | 1 | 1 | 2 | 0 | 0 | 0 | 3 | 9 | 3 | 4 | 11.11% | 1 | 6.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 57.35% | 68 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
18 | Anthony Beauvillier | 0 | LW | 26 | 0 | 1 | 1 | 0 | 2 | 0 | 7 | 15 | 2 | 7 | 0.00% | 3 | 10.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 37.50% | 16 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | |
Team Total or Average | 421 | 84 | 149 | 233 | 74 | 147 | 5 | 419 | 721 | 190 | 530 | 11.65% | 210 | 16.92 | 17 | 32 | 49 | 696 | 0 | 0 | 0 | 448 | 15 | 5 | 51.84% | 1956 | 0 | 0 | 0 | 1 | 0.65 | 1 | 6 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Linus Ullmark | 21 | 14 | 6 | 1 | 0.904 | 2.52 | 1191 | 4 | 2 | 50 | 522 | 0 | 0 | 0 | 0.833 | 6 | 21 | 3 | 1 | 1 | 1 | |
2 | Semyon Varlamov | 5 | 2 | 1 | 0 | 0.938 | 1.86 | 258 | 0 | 1 | 8 | 128 | 0 | 0 | 0 | 0.000 | 0 | 3 | 21 | 1 | 0 | 0 | |
Team Total or Average | 26 | 16 | 7 | 1 | 0.911 | 2.40 | 1449 | 4 | 3 | 58 | 650 | 0 | 0 | 0 | 0.833 | 6 | 24 | 24 | 2 | 1 | 1 |
Projected Total Cap Hit | 79,367,867$ |
Projected Cap Space | 4,132,133$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 24,618,227$ |
Players In Salary Cap | 21 |
LTIR Players | 1 |
Devils Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fantilli ![]() | C | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Alexander Alexeyev ![]() | D | 24 | 825,000$ | 825,000$ | 825,000$ | ||||||
Anthony Beauvillier | LW | 26 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Blake Wheeler | C/RW | 37 | 8,250,000$ | 8,250,000$ | UFA | ||||||
Dawson Mercer ![]() | C/RW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Frederick Gaudreau | C/LW | 30 | 2,125,000$ | 2,125,000$ | UFA | ||||||
Gabriel Landeskog ![]() ![]() | C/LW/RW | 31 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |
John Klingberg | D | 31 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||
Kyle Okposo | RW | 35 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Linus Ullmark | G | 30 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Logan Couture | C | 34 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
Nico Hischier | C | 24 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | |||
Oliver Bjorkstrand | LW/RW | 28 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||
Reilly Smith | LW/RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Ryan Graves | D | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |
Ryan Suter | D | 38 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Sam Bennett | C/LW/RW | 27 | 4,425,000$ | 4,425,000$ | 4,425,000$ | 4,425,000$ | UFA | ||||
Sean Durzi | D | 25 | 1,700,000$ | 1,700,000$ | |||||||
Semyon Varlamov | G | 35 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||
Trevor van Riemsdyk | D | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Yanni Gourde | C/LW | 31 | 5,166,666$ | 5,166,666$ | 5,166,666$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Clendening ![]() | D | 31 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Aidan Fulp ![]() | D | 23 | 870,000$ | 870,000$ | 870,000$ | ![]() | |||||
Alexander Holtz ![]() | LW/RW | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Brendan Smith ![]() | D | 34 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Brian Elliott ![]() | G | 38 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Cole Hults ![]() | D | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Conor Geekie ![]() | C | 19 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Daniil Misyul ![]() | D | 23 | 867,500$ | 867,500$ | 867,500$ | ![]() | |||||
David Tendeck ![]() | G | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Dean Stewart ![]() | D | 25 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Declan Carlile ![]() | D | 21 | 855,000$ | 855,000$ | RFA | ||||||
Filip Lindberg ![]() | G | 24 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Fredrik Claesson ![]() | D | 31 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Fredrik Karlstrom ![]() | C | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Gerry Mayhew ![]() | C | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Ilya Konovalov ![]() | G | 25 | 0$ | ![]() | |||||||
Jamieson Rees ![]() | C | 22 | 839,167$ | 839,167$ | RFA | ||||||
Josiah Slavin ![]() | C | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Kristian Reichel ![]() | RW | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Lassi Thomson ![]() | D | 23 | 863,333$ | 863,333$ | RFA | ||||||
Logan Morrison ![]() | C | 21 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Lucas Edmonds ![]() | LW/RW | 22 | 861,667$ | 861,667$ | 861,667$ | ![]() | |||||
Michael Dipietro ![]() | G | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Nick Merkley ![]() | RW | 26 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Nick Swaney ![]() | RW | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Nolan Foote ![]() | LW | 23 | 863,333$ | 863,333$ | RFA | ||||||
Owen Pickering ![]() | D | 19 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Paul Stastny ![]() | C/LW | 37 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Ryan Fanti ![]() | G | 24 | 883,750$ | 883,750$ | ![]() | ||||||
Sam Poulin ![]() | LW/RW | 22 | 863,333$ | 863,333$ | RFA | ||||||
Spencer Smallman ![]() | RW | 27 | 800,000$ | 800,000$ | UFA | ||||||
Tomas Vomacka ![]() | G | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Travis Mitchell ![]() | D | 24 | 882,500$ | 882,500$ | 882,500$ | ![]() | |||||
Tyler Boucher ![]() | RW | 20 | 925,000$ | 925,000$ | RFA | ||||||
Victor Berglund ![]() | D | 24 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Yaniv Perets ![]() | G | 23 | 805,000$ | 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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1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 0 | 2 | 3 | 0 | 16 | 4 | 4 | 8 | 0 | 34 | 11 | 9 | 15 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 19 | 12 | 26 | 8 | 14 | 7 | 66.7% | 31.3% | 94.1% | 125.4 | LUCKY | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 0 | 0.000 | 6 | 9 | 15 | 0 | 0 | 3 | 2 | 1 | 0 | 63 | 21 | 28 | 14 | 0 | 75 | 22 | 14 | 40 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 42 | 29 | 51 | 15 | 25 | 11 | 37.5% | 9.5% | 85.3% | 94.9 | FUN | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 40 | 17 | 9 | 14 | 0 | 15 | 5 | 6 | 22 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 25 | 19 | 23 | 6 | 11 | 5 | 80.0% | 12.5% | 93.3% | 105.8 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 31 | 9 | 6 | 16 | 0 | 15 | 6 | 4 | 21 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 25 | 19 | 21 | 6 | 12 | 6 | 75.0% | 12.9% | 93.3% | 106.2 | LUCKY | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 55 | 18 | 25 | 12 | 0 | 54 | 14 | 14 | 45 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 42 | 28 | 52 | 15 | 25 | 12 | 33.3% | 7.3% | 88.9% | 96.2 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 0 | 4 | 1 | 0 | 36 | 12 | 14 | 10 | 0 | 16 | 9 | 6 | 20 | 5 | 2 | 40.00% | 3 | 1 | 66.67% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 26 | 19 | 21 | 6 | 12 | 6 | 100.0% | 13.9% | 93.8% | 107.6 | LUCKY | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 3 | 9 | 4 | 1.000 | 12 | 20 | 32 | 0 | 1 | 6 | 3 | 3 | 0 | 57 | 19 | 17 | 21 | 0 | 47 | 26 | 10 | 33 | 5 | 3 | 60.00% | 5 | 0 | 100.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 47 | 33 | 47 | 14 | 25 | 12 | 75.0% | 21.1% | 93.6% | 114.7 | LUCKY | |
8 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 0 | 4 | 3 | 1 | 55 | 19 | 19 | 15 | 2 | 48 | 9 | 14 | 32 | 7 | 2 | 28.57% | 6 | 0 | 100.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 53 | 37 | 41 | 13 | 25 | 13 | 66.7% | 14.5% | 93.8% | 108.3 | LUCKY | |
9 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 33 | 11 | 5 | 15 | 5 | 30 | 13 | 8 | 23 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 24 | 15 | 26 | 7 | 14 | 7 | 100.0% | 6.1% | 96.7% | 102.7 | DULL | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 13 | 11 | 3 | 0 | 25 | 11 | 6 | 8 | 5 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 21 | 14 | 25 | 7 | 12 | 6 | 33.3% | 3.7% | 88.0% | 91.7 | Unlucky | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 32 | 10 | 11 | 11 | 0 | 21 | 7 | 4 | 16 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 25 | 17 | 21 | 7 | 12 | 6 | 57.1% | 12.5% | 85.7% | 98.2 | FUN | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 16 | 25 | 0 | 1 | 1 | 5 | 3 | 0 | 74 | 23 | 26 | 25 | 0 | 47 | 15 | 8 | 40 | 14 | 2 | 14.29% | 3 | 0 | 100.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 50 | 36 | 45 | 14 | 23 | 13 | 77.8% | 12.2% | 95.7% | 107.9 | LUCKY | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 14 | 4 | 12 | 0 | 22 | 9 | 6 | 20 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 27 | 19 | 20 | 6 | 11 | 6 | 33.3% | 3.3% | 90.9% | 94.2 | Unlucky | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 3 | 0 | 0 | 28 | 11 | 10 | 7 | 0 | 40 | 5 | 10 | 16 | 3 | 2 | 66.67% | 5 | 2 | 60.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 24 | 18 | 23 | 7 | 12 | 5 | 37.5% | 17.9% | 82.5% | 100.4 | FUN | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 1 | 0 | 2 | 0 | 32 | 12 | 8 | 12 | 0 | 31 | 5 | 4 | 13 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 24 | 17 | 23 | 7 | 12 | 6 | 100.0% | 9.4% | 100.0% | 109.4 | LUCKY | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 23 | 10 | 10 | 3 | 0 | 31 | 6 | 4 | 11 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 24 | 17 | 24 | 7 | 11 | 5 | 16.7% | 4.3% | 80.6% | 85.0 | Unlucky | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 2 | 1 | 0 | 29 | 10 | 12 | 7 | 0 | 32 | 13 | 8 | 17 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 20 | 13 | 26 | 7 | 13 | 6 | 66.7% | 20.7% | 90.6% | 111.3 | FUN | |
18 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 2 | 4 | 0 | 0 | 1 | 1 | 0 | 0 | 45 | 14 | 14 | 12 | 8 | 26 | 12 | 6 | 15 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 29 | 21 | 22 | 7 | 12 | 6 | 25.0% | 4.4% | 88.5% | 92.9 | Unlucky | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 26 | 14 | 4 | 8 | 0 | 41 | 13 | 10 | 19 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 19 | 12 | 28 | 8 | 11 | 5 | 66.7% | 11.5% | 97.6% | 109.1 | LUCKY | |
_Vs Division | 8 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 36 | 20 | 16 | 12 | 0.750 | 36 | 62 | 98 | 0 | 2 | 13 | 11 | 12 | 0 | 228 | 75 | 75 | 78 | 0 | 234 | 83 | 49 | 139 | 20 | 5 | 25.00% | 18 | 1 | 94.44% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 179 | 125 | 196 | 60 | 103 | 51 | 62.0% | 15.8% | 91.5% | 107.2 | LUCKY | |
_Vs Conference | 14 | 10 | 4 | 0 | 0 | 0 | 0 | 0 | 59 | 36 | 23 | 20 | 0.714 | 59 | 105 | 164 | 0 | 3 | 18 | 24 | 17 | 0 | 421 | 139 | 150 | 132 | 0 | 391 | 126 | 87 | 260 | 49 | 12 | 24.49% | 36 | 4 | 88.89% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 323 | 227 | 338 | 104 | 178 | 90 | 59.5% | 14.0% | 90.8% | 104.8 | FUN | |
_Since Last GM Reset | 24 | 14 | 7 | 0 | 1 | 0 | 1 | 1 | 86 | 59 | 27 | 33 | 0.688 | 86 | 150 | 236 | 0 | 3 | 24 | 36 | 24 | 2 | 732 | 261 | 237 | 225 | 15 | 650 | 211 | 151 | 426 | 85 | 17 | 20.00% | 65 | 7 | 89.23% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 574 | 404 | 573 | 177 | 302 | 153 | 57.0% | 11.7% | 90.9% | 102.7 | FUN | |
Total | 24 | 14 | 7 | 0 | 1 | 0 | 1 | 1 | 86 | 59 | 27 | 33 | 0.688 | 86 | 150 | 236 | 0 | 3 | 24 | 36 | 24 | 2 | 732 | 261 | 237 | 225 | 15 | 650 | 211 | 151 | 426 | 85 | 17 | 20.00% | 65 | 7 | 89.23% | 0 | 435 | 833 | 52.22% | 419 | 801 | 52.31% | 199 | 372 | 53.49% | 574 | 404 | 573 | 177 | 302 | 153 | 57.0% | 11.7% | 90.9% | 102.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 833 |
Neutral Zone Start | 372 |
Defensive Zone Start | 801 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1053 |
Faceoffs Lost | 953 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 20.8 | 20.31 |
3rd Period | 30.1 | 30.68 |
Overtime | 30.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 69 |
---|---|
PP Goal | 17 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 8 | 8 |
Lost | 3 | 4 |
Overtime Lost | 1 | 0 |
PP Attempt | 85 |
---|---|
PP Goal | 17 |
PK Attempt | 65 |
PK Goal Against | 7 |
Home | |
---|---|
Shots For | 30.5 |
Shots Against | 27.1 |
Goals For | 3.6 |
Goals Against | 2.5 |
Hits | 17.8 |
Shots Blocked | 8.8 |
Pim | 6.3 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-12 | @ | Red Wings3,Devils0 | RECAP | |||||||||||
2023-10-13 | @ | Coyotes3,Devils4 | RECAP | |||||||||||
2023-10-16 | @ | Panthers7,Devils5 | RECAP | |||||||||||
2023-10-20 | @ | Devils3,Islanders5 | RECAP | |||||||||||
2023-10-24 | @ | Devils5,Canadiens1 | RECAP | |||||||||||
2023-10-25 | @ | Capitals3,Devils4 | RECAP | |||||||||||
2023-10-27 | @ | Sabres2,Devils4 | RECAP | |||||||||||
2023-10-29 | @ | Wild2,Devils3 (OT) | RECAP | |||||||||||
2023-11-02 | @ | Devils5,Wild1 | RECAP | |||||||||||
2023-11-03 | @ | Devils1,Blues3 | RECAP | |||||||||||
2023-11-05 | @ | Devils1,Blackhawks2 | RECAP | |||||||||||
2023-11-07 | @ | Devils5,Avalanche1 | RECAP | |||||||||||
2023-11-10 | @ | Capitals0,Devils8 | RECAP | |||||||||||
2023-11-14 | @ | Devils1,Jets6 | RECAP | |||||||||||
2023-11-16 | @ | Devils6,Penguins3 | RECAP | |||||||||||
2023-11-18 | @ | Rangers1,Devils4 | RECAP | |||||||||||
2023-11-22 | @ | Devils4,Red Wings3 | RECAP | |||||||||||
2023-11-24 | @ | Blue Jackets0,Devils3 | RECAP | |||||||||||
2023-11-25 | @ | Sabres0,Devils5 | RECAP | |||||||||||
2023-11-28 | @ | Islanders6,Devils3 | RECAP | |||||||||||
2023-11-30 | @ | Devils5,Flyers2 | RECAP | |||||||||||
2023-12-01 | @ | Sharks3,Devils2 (SO) | RECAP | |||||||||||
2023-12-05 | @ | Devils2,Canucks1 (SO) | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,885,833$ | 0$ | 79,367,867$ | 2,614,167$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | 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 | 68090 | 57138 | 22339 | 45901 | 11280 |
Attendance PCT | 94.57% | 95.23% | 93.08% | 95.63% | 94.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
29 | 17062 - 94.79% | 1,502,361$ | 18,028,337$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,885,833$ | 80,885,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
25,314,857$ | 414,770$ | 24,618,227$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
43,568,481$ | 132 | 426,489$ | 56,296,548$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
58,701,438$ | 80,885,833$ | 40,492,450$ | 25,359,493$ |
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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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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 |
---|---|---|---|---|---|
Brett Hyland | 2023 | 215 | |||
David Klee | 2023 | 209 | |||
Larry Keenan | 2023 | 139 | |||
Leevi Aaltonen | 2019 | 154 | |||
Ryder Donovan | 2019 | 112 | 6.0 - 4.5 | ||
Yevgeni Kashnikov | 2021 | 215 |
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