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Anaheim Ducks 0-0-0, 0pts · 12th in Western 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 | 100.00 | 69 | 38 | 87 | 72 | 74 | 88 | 87 | 71 | 82 | 72 | 77 | 87 | 71 | 85 | 76 | 34 | 75 | 0 | 34 | 3,500,000$/2yrs | |||
![]() | 23 | C/LW/RW | 100.00 | 64 | 35 | 83 | 81 | 76 | 88 | 89 | 80 | 65 | 78 | 86 | 64 | 83 | 72 | 74 | 52 | 75 | 0 | 28 | 4,166,667$/1yrs | |||
![]() | 25 | RW | 100.00 | 77 | 48 | 91 | 68 | 97 | 80 | 89 | 67 | 54 | 63 | 66 | 77 | 69 | 65 | 68 | 57 | 75 | 0 | 25 | 1,250,000$/1yrs | |||
![]() | 19 | C/LW/RW | 100.00 | 70 | 36 | 89 | 79 | 77 | 89 | 87 | 78 | 85 | 76 | 77 | 71 | 79 | 85 | 75 | 56 | 75 | 0 | 32 | 9,850,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 81 | 40 | 92 | 64 | 93 | 82 | 85 | 63 | 65 | 61 | 66 | 64 | 63 | 67 | 68 | 42 | 75 | 0 | 26 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 78 | 55 | 73 | 76 | 71 | 85 | 88 | 73 | 56 | 71 | 74 | 63 | 76 | 79 | 75 | 42 | 75 | 0 | 32 | 5,000,000$/1yrs | |||
![]() | 86 | RW | 100.00 | 65 | 34 | 89 | 86 | 69 | 92 | 90 | 91 | 63 | 95 | 84 | 66 | 90 | 79 | 76 | 54 | 75 | 0 | 31 | 9,500,000$/3yrs | |||
![]() | 20 | C/RW | 100.00 | 83 | 50 | 83 | 65 | 75 | 80 | 82 | 63 | 80 | 64 | 59 | 79 | 61 | 73 | 70 | 67 | 75 | 0 | 29 | 1,500,000$/1yrs | |||
![]() | 17 | LW/RW | 100.00 | 70 | 37 | 89 | 78 | 71 | 89 | 87 | 75 | 57 | 76 | 78 | 80 | 73 | 77 | 75 | 40 | 75 | 0 | 32 | 5,500,000$/4yrs | |||
![]() | 16 | C/LW | 100.00 | 66 | 38 | 91 | 82 | 76 | 87 | 89 | 79 | 75 | 77 | 83 | 76 | 78 | 73 | 71 | 67 | 75 | 0 | 28 | 5,000,000$/3yrs | |||
![]() | 12 | C/LW/RW | 100.00 | 77 | 41 | 82 | 63 | 78 | 81 | 86 | 60 | 66 | 59 | 62 | 69 | 58 | 72 | 73 | 35 | 75 | 0 | 29 | 775,000$/1yrs | |||
![]() | 6 | D | 100.00 | 81 | 43 | 80 | 67 | 85 | 94 | 90 | 62 | 30 | 74 | 63 | 95 | 52 | 82 | 74 | 55 | 75 | 0 | 31 | 3,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 86 | 65 | 74 | 64 | 87 | 89 | 87 | 60 | 30 | 62 | 59 | 78 | 50 | 67 | 68 | 42 | 75 | 0 | 25 | 1,350,000$/3yrs | |||
![]() | 2 | D | 100.00 | 77 | 34 | 93 | 63 | 71 | 83 | 78 | 58 | 30 | 62 | 54 | 79 | 47 | 75 | 74 | 23 | 75 | 0 | 34 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 85 | 49 | 80 | 64 | 99 | 90 | 88 | 62 | 30 | 70 | 59 | 89 | 51 | 73 | 75 | 38 | 75 | 0 | 32 | 2,000,000$/2yrs | |||
![]() | 6 | D | 100.00 | 73 | 43 | 90 | 69 | 98 | 94 | 90 | 67 | 30 | 74 | 65 | 94 | 53 | 78 | 74 | 49 | 75 | 0 | 31 | 6,500,000$/6yrs | |||
![]() | 0 | D | 100.00 | 64 | 37 | 95 | 70 | 85 | 92 | 89 | 66 | 30 | 77 | 64 | 95 | 53 | 77 | 71 | 47 | 75 | 0 | 30 | 5,300,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 59 | 35 | 90 | 64 | 77 | 84 | 80 | 63 | 80 | 60 | 61 | 92 | 64 | 85 | 76 | 24 | 75 | 0 | 36 | ||||
![]() | 0 | C/RW | 100.00 | 85 | 64 | 75 | 62 | 76 | 77 | 78 | 59 | 83 | 60 | 57 | 70 | 58 | 66 | 67 | 42 | 75 | 0 | 26 | 775,000$/1yrs | |||
![]() | 80 | D | 100.00 | 88 | 83 | 71 | 62 | 98 | 87 | 78 | 58 | 30 | 71 | 54 | 76 | 47 | 73 | 75 | 50 | 75 | 0 | 32 | ||||
![]() | 53 | D | 100.00 | 82 | 56 | 82 | 75 | 84 | 93 | 90 | 74 | 30 | 80 | 64 | 93 | 55 | 65 | 72 | 87 | 75 | 0 | 23 | ||||
TEAM AVERAGE | 100.00 | 75 | 46 | 85 | 70 | 82 | 87 | 86 | 68 | 55 | 71 | 67 | 79 | 63 | 75 | 73 | 48 | 75 | 0 |
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 |
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![]() | 29 | 100.00 | 95 | 91 | 87 | 92 | 94 | 93 | 95 | 94 | 93 | 95 | 94 | 68 | 75 | 61 | 75 | 0 | 25 | 2,600,000$/2yrs |
![]() | 37 | 100.00 | 98 | 94 | 89 | 88 | 97 | 96 | 98 | 97 | 96 | 98 | 97 | 82 | 85 | 54 | 75 | 0 | 31 | 8,500,000$/7yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 97 | 93 | 88 | 90 | 96 | 95 | 97 | 96 | 95 | 97 | 96 | 75 | 80 | 58 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Paul Maurice | 89 | 90 | 92 | 80 | 85 | 79 | 62 | CAN | 57 | 3 | 5,000,000$ |
General Manager | Simon Bourbonnais |
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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 | MP | 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 |
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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 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 | 73,316,608$ |
Projected Cap Space | 14,683,392$ |
Retains And Buyout Cap Hit | -5,000,000$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 25 |
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 |
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Adam Henrique | C/LW/G | 34 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Adam Larsson | D | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Alexey Toropchenko ![]() | RW | 25 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Bryan Rust ![]() | LW/RW | 32 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Carter Verhaeghe | C/LW/RW | 28 | 4,166,667$ | 4,166,667$ | RFA | ||||||
Chad Ruhwedel | D | 34 | 775,000$ | 775,000$ | UFA | ||||||
Colton Parayko ![]() | D | 31 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |
Connor Hellebuyck ![]() | D/G | 31 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA |
Curtis Lazar | C/RW | 29 | 1,500,000$ | 1,500,000$ | |||||||
Jaccob Slavin | D | 30 | 5,300,000$ | 5,300,000$ | |||||||
Jani Hakanpaa | D | 32 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Jared McCann | C/LW | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Jarred Tinordi | D/G | 32 | 0$ | UFA | |||||||
Jason Zucker | LW/RW | 32 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Justin Brazeau ![]() | RW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Moritz Seider ![]() | D | 23 | 0$ | RFA | |||||||
Nick Bonino | C/LW | 36 | 0$ | UFA | |||||||
Nikita Kucherov ![]() | RW | 31 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||
Reese Johnson | C/RW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Simon Benoit | D | 25 | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | RFA | ||||
Stuart Skinner | D/G | 25 | 2,600,000$ | 2,600,000$ | 2,600,000$ | RFA | |||||
Tyler Seguin ![]() | C/LW/RW | 32 | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | UFA | ||||
Zach Aston-Reese ![]() | C/LW/RW | 29 | 775,000$ | 775,000$ |
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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 |
# | 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 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
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 | 0 |
Without Puck | 0 |
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 | 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 |
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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 |
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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 | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,191,667$ | -5,000,000$ | 73,316,608$ | 14,683,392$ |
Arena | Goal Horn | About us | |
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![]() | Name | Honda Center | |
City | Anaheim | ||
Capacity | 17174 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 3174 | 1000 |
Ticket Price | 160$ | 140$ | 100$ | 60$ | 300$ |
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$ | 17174 | 85 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,191,667$ | 83,191,667$ | 0$ | -5,000,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 407,899$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 192 | 459,332$ | 88,191,744$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
90,217,404$ | 73,316,608$ | 40,510,910$ | -49,706,494$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2025 | |||||||
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2029 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Andrew Cristall | 2023 | 29 | ELC 2023-24 (slide) | Link | |
Berkly Catton | 2024 | 9 | ELC 2024-25 | Link | |
Cole Huckins | 2021 | 80 | |||
Conner Roulette | 2021 | 96 | |||
Dmitry Rashevsky | 2021 | 154 | |||
Felix Lacerte | 2024 | 216 | |||
Gleb Trikozov | 2022 | 43 | ELC 2024-25 | Link | |
Jack D.Hugues | 2022 | 39 | |||
Jackson Dorrington | 2022 | 199 | |||
Kieron Walton | 2024 | 202 | |||
Mathieu Cataford | 2023 | 47 | ELC 2024-25 | Link | |
Miroslav Satan | 2024 | 175 | |||
Pavel Moysevich | 2024 | 66 | |||
Theo Lindstein | 2023 | 54 | ELC 2024-25 | Link | |
Trent Swick | 2024 | 192 | |||
Vladislav Lukashevich | 2021 | 130 |
|