Full Scoreboard » |
Carolina Hurricanes 0-0-0, 0pts · 9th in Eastern Conference |
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/LW/RW | 100.00 | 70 | 35 | 84 | 85 | 76 | 89 | 90 | 83 | 85 | 82 | 84 | 67 | 86 | 87 | 95 | 49 | 75 | 0 | 34 | 8,000,000$/4yrs | |||
![]() | 58 | C | 100.00 | 82 | 40 | 95 | 67 | 97 | 81 | 87 | 69 | 66 | 68 | 60 | 65 | 62 | 64 | 65 | 63 | 75 | 0 | 23 | 3,375,000$/5yrs | |||
![]() | 91 | LW/RW | 100.00 | 88 | 75 | 68 | 76 | 84 | 88 | 82 | 74 | 58 | 71 | 78 | 65 | 77 | 85 | 76 | 53 | 75 | 0 | 32 | 7,000,000$/1yrs | |||
![]() | 88 | C/LW/RW | 100.00 | 60 | 35 | 90 | 87 | 75 | 92 | 90 | 85 | 59 | 84 | 86 | 69 | 88 | 74 | 76 | 72 | 75 | 0 | 28 | 11,500,000$/8yrs | |||
![]() | 14 | C/RW | 100.00 | 67 | 38 | 87 | 81 | 75 | 92 | 90 | 83 | 80 | 82 | 79 | 73 | 85 | 67 | 82 | 84 | 75 | 0 | 24 | 7,875,000$/6yrs | |||
![]() | 10 | C/LW/RW | 100.00 | 76 | 71 | 79 | 75 | 77 | 89 | 90 | 74 | 78 | 77 | 73 | 68 | 75 | 85 | 91 | 52 | 75 | 0 | 32 | 6,500,000$/4yrs | |||
![]() | 71 | RW | 100.00 | 72 | 35 | 94 | 71 | 76 | 83 | 89 | 66 | 58 | 68 | 61 | 75 | 64 | 81 | 74 | 29 | 75 | 0 | 32 | 2,400,000$/1yrs | |||
![]() | 56 | C/LW | 100.00 | 71 | 37 | 79 | 75 | 70 | 87 | 89 | 71 | 84 | 72 | 68 | 86 | 71 | 80 | 74 | 29 | 75 | 0 | 33 | 3,200,000$/2yrs | |||
![]() | 2 | D | 100.00 | 80 | 40 | 82 | 67 | 84 | 91 | 83 | 65 | 30 | 74 | 61 | 83 | 53 | 70 | 69 | 36 | 75 | 0 | 28 | 4,600,000$/3yrs | |||
![]() | 59 | D | 100.00 | 65 | 39 | 83 | 84 | 78 | 95 | 88 | 82 | 30 | 89 | 81 | 73 | 62 | 85 | 94 | 40 | 75 | 0 | 34 | 9,059,000$/4yrs | |||
![]() | 23 | D | 100.00 | 64 | 39 | 92 | 67 | 79 | 90 | 85 | 65 | 30 | 72 | 59 | 87 | 53 | 85 | 78 | 28 | 75 | 0 | 37 | 5,100,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 60 | C/RW | 100.00 | 74 | 45 | 80 | 71 | 78 | 85 | 83 | 66 | 76 | 69 | 60 | 80 | 64 | 66 | 67 | 83 | 75 | 0 | 24 | 1,300,000$/2yrs | |||
![]() | 47 | C | 100.00 | 82 | 77 | 66 | 64 | 92 | 74 | 85 | 63 | 86 | 65 | 60 | 67 | 63 | 65 | 66 | 56 | 75 | 0 | 24 | 835,000$/1yrs | |||
![]() | 89 | LW | 100.00 | 64 | 36 | 95 | 73 | 65 | 78 | 75 | 72 | 69 | 70 | 71 | 64 | 73 | 63 | 66 | 70 | 75 | 0 | 22 | ||||
![]() | 68 | RW | 100.00 | 63 | 37 | 84 | 71 | 70 | 87 | 85 | 70 | 69 | 72 | 67 | 62 | 68 | 63 | 64 | 81 | 75 | 0 | 22 | ||||
![]() | 17 | C | 100.00 | 66 | 38 | 84 | 73 | 75 | 88 | 86 | 72 | 80 | 73 | 71 | 92 | 70 | 72 | 74 | 56 | 75 | 0 | 27 | 6,250,000$/7yrs | |||
![]() | 0 | D | 100.00 | 65 | 33 | 92 | 71 | 66 | 87 | 84 | 67 | 30 | 72 | 59 | 65 | 53 | 68 | 70 | 47 | 75 | 0 | 28 | 775,000$/2yrs | |||
![]() | 22 | D | 100.00 | 70 | 35 | 83 | 68 | 75 | 88 | 86 | 67 | 30 | 76 | 63 | 70 | 54 | 87 | 75 | 43 | 75 | 0 | 35 | ||||
![]() | 73 | D | 100.00 | 70 | 35 | 86 | 69 | 77 | 86 | 84 | 67 | 30 | 73 | 60 | 62 | 53 | 65 | 66 | 78 | 75 | 0 | 25 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 41 | 88 | 71 | 75 | 89 | 88 | 69 | 30 | 80 | 65 | 67 | 55 | 75 | 74 | 38 | 75 | 0 | 32 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 73 | 38 | 70 | 79 | 74 | 94 | 88 | 77 | 30 | 85 | 73 | 67 | 59 | 74 | 76 | 56 | 75 | 0 | 30 | ||||
TEAM AVERAGE | 100.00 | 71 | 43 | 84 | 74 | 77 | 87 | 86 | 72 | 57 | 75 | 69 | 72 | 66 | 74 | 75 | 54 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 1 | 100.00 | 93 | 86 | 81 | 77 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 71 | 81 | 62 | 75 | 0 | 28 | 3,400,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 29 | 100.00 | 92 | 87 | 80 | 77 | 91 | 90 | 92 | 91 | 90 | 92 | 91 | 99 | 94 | 45 | 75 | 0 | 39 | 2,500,000$/1yrs |
TEAM AVERAGE | 100.00 | 93 | 87 | 81 | 77 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 85 | 88 | 54 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rod Brind'Amour | 81 | 94 | 91 | 88 | 81 | 75 | 68 | CAN | 54 | 2 | 4,000,000$ |
General Manager | Martin Charron |
---|
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 | 83,619,072$ |
Projected Cap Space | 4,380,928$ |
Retains And Buyout Cap Hit | -3,000,000$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 19 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Martinez ![]() | D | 37 | 5,100,000$ | 5,100,000$ | UFA | ||||||
Aliaksei Protas | C/G | 23 | 3,375,000$ | 3,375,000$ | 3,375,000$ | 3,375,000$ | 3,375,000$ | 3,375,000$ | RFA | ||
Anthony Cirelli ![]() | C | 27 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA |
Artem Zub ![]() | D/G | 28 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | |||||
Brandon Montour | D | 30 | 0$ | ||||||||
Brayden Schenn ![]() | C/LW/RW | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||
Erik Gustafsson | D | 32 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Erik Haula ![]() | C/LW | 33 | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | |||||
Evander Kane ![]() | LW/RW | 32 | 7,000,000$ | 6,000,000$ | UFA | ||||||
Jesper Fast ![]() | RW | 32 | 2,400,000$ | 2,400,000$ | UFA | ||||||
Kevin Shattenkirk | D | 35 | 0$ | UFA | |||||||
Marc-Andre Fleury ![]() | LW/G | 39 | 2,500,000$ | 2,500,000$ | |||||||
Mark Kastelic | C | 24 | 835,000$ | 835,000$ | RFA | ||||||
Nicholas Robertson ![]() | LW | 22 | 0$ | ||||||||
Nick Suzuki | C/RW | 24 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | ||
Philip Tomasino ![]() | RW | 22 | 0$ | ||||||||
Pierre-Olivier Joseph | D | 25 | 950,000$ | 950,000$ | RFA | ||||||
Roman Josi ![]() | D | 34 | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | UFA | |||
Sebastien Aho | D/G | 28 | 775,000$ | 775,000$ | 775,000$ | ||||||
Steven Stamkos ![]() | C/LW/RW/G | 34 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Ty Dellandrea | C/RW | 24 | 1,300,000$ | 1,300,000$ | 1,300,000$ | RFA | |||||
Vitek Vanecek | C/LW/G | 28 | 3,400,000$ | 3,400,000$ | RFA | ||||||
William Nylander ![]() | C/LW/RW | 28 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|||||||
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
|||||||
| |||||||
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|||||||
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
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 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 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 | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
85,619,000$ | -3,000,000$ | 83,619,072$ | 4,380,928$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | PNC Arena | |
City | Carolina | ||
Capacity | 18680 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2680 | 4000 | 1000 |
Ticket Price | 115$ | 95$ | 70$ | 45$ | 180$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18680 | 85 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
85,619,000$ | 86,619,000$ | 0$ | -3,000,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 451,141$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 192 | 466,766$ | 89,619,072$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
91,878,927$ | 83,619,072$ | 114,552,245$ | 22,673,318$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Andrew Basha | 2024 | 27 | |||
Andrew Gibson | 2023 | 82 | ELC 2024-25 | Link | |
Benjamin Rautiainen | 2024 | 219 | |||
Brandon Lisowsky | 2022 | 115 | |||
Brennan Ali | 2022 | 179 | |||
Carsen Musser | 2023 | 142 | |||
Colby Barlow | 2023 | 14 | |||
Colin Ralph | 2024 | 91 | |||
Gabriel Eliasson | 2024 | 111 | |||
Harrison Meneghin | 2024 | 155 | |||
Javon Moore | 2024 | 123 | |||
Kasper Kulonummi | 2022 | 83 | |||
Koehn Ziemmer | 2023 | 46 | |||
Luke Misa | 2024 | 59 | |||
Mazden Leslie | 2023 | 206 | |||
Noah Dower Nilsson | 2023 | 78 | |||
Noel Nordh | 2023 | 110 | ELC 2024-25 | Link | |
Rasmus Kumpalainen | 2023 | 92 | |||
Rodwin Dionicio | 2023 | 174 | ELC 2024-25 | Link | |
Ryan Leonard | 2023 | 7 | |||
Viljami Marjala | 2021 | 160 |
|