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Vegas Golden Knights 0-0-0, 0pts · 2nd 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 91 | C | 100.00 | 64 | 36 | 89 | 73 | 78 | 87 | 68 | 75 | 81 | 73 | 65 | 60 | 70 | 90 | 77 | 40 | 75 | 0 | 36 | 9,500,000$/2yrs | |||
![]() | 93 | C/LW | 100.00 | 69 | 37 | 81 | 78 | 71 | 88 | 90 | 81 | 78 | 79 | 77 | 66 | 80 | 85 | 78 | 46 | 75 | 0 | 33 | 7,500,000$/3yrs | |||
![]() | 37 | C/LW/RW | 100.00 | 76 | 65 | 73 | 75 | 64 | 88 | 90 | 69 | 79 | 75 | 65 | 88 | 68 | 77 | 75 | 26 | 75 | 0 | 32 | 5,166,666$/1yrs | |||
![]() | 58 | C | 100.00 | 69 | 35 | 91 | 76 | 73 | 87 | 89 | 74 | 78 | 75 | 70 | 66 | 73 | 67 | 71 | 77 | 75 | 0 | 25 | 2,100,000$/1yrs | |||
![]() | 40 | C | 100.00 | 72 | 35 | 95 | 83 | 76 | 91 | 90 | 82 | 77 | 87 | 84 | 86 | 81 | 69 | 77 | 84 | 75 | 0 | 25 | 9,500,000$/7yrs | |||
![]() | 77 | LW/RW | 100.00 | 77 | 43 | 71 | 75 | 72 | 87 | 80 | 73 | 58 | 71 | 75 | 65 | 77 | 89 | 81 | 34 | 75 | 0 | 37 | 5,750,000$/1yrs | |||
![]() | 96 | C/LW | 100.00 | 72 | 40 | 92 | 66 | 85 | 83 | 86 | 65 | 88 | 62 | 64 | 81 | 62 | 70 | 72 | 36 | 75 | 0 | 29 | 2,000,000$/1yrs | |||
![]() | 31 | D | 100.00 | 77 | 40 | 81 | 64 | 84 | 88 | 82 | 62 | 30 | 71 | 60 | 81 | 50 | 69 | 71 | 36 | 75 | 0 | 27 | 2,750,000$/4yrs | |||
![]() | 44 | D | 100.00 | 64 | 36 | 90 | 67 | 78 | 87 | 85 | 62 | 30 | 71 | 59 | 81 | 52 | 91 | 78 | 34 | 75 | 0 | 37 | 3,500,000$/2yrs | |||
![]() | 24 | D | 100.00 | 73 | 83 | 73 | 64 | 94 | 91 | 88 | 61 | 30 | 73 | 58 | 88 | 50 | 81 | 73 | 55 | 75 | 0 | 32 | 4,000,000$/2yrs | |||
![]() | 4 | D | 100.00 | 61 | 37 | 93 | 74 | 83 | 95 | 90 | 72 | 30 | 81 | 66 | 81 | 55 | 86 | 74 | 50 | 75 | 0 | 32 | 6,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 74 | 40 | 84 | 73 | 84 | 82 | 69 | 70 | 55 | 75 | 64 | 65 | 68 | 86 | 76 | 39 | 75 | 0 | 35 | ||||
![]() | 59 | C/LW/RW | 100.00 | 73 | 37 | 86 | 67 | 69 | 85 | 83 | 65 | 64 | 70 | 66 | 69 | 67 | 68 | 70 | 66 | 75 | 0 | 25 | ||||
![]() | 0 | LW/RW | 100.00 | 67 | 73 | 70 | 66 | 85 | 80 | 85 | 68 | 50 | 64 | 67 | 63 | 65 | 93 | 82 | 31 | 75 | 0 | 39 | ||||
![]() | 65 | C | 100.00 | 66 | 37 | 95 | 62 | 75 | 82 | 79 | 61 | 83 | 58 | 63 | 68 | 61 | 68 | 69 | 45 | 75 | 0 | 28 | ||||
![]() | 38 | LW/RW | 100.00 | 70 | 61 | 68 | 75 | 74 | 87 | 85 | 73 | 75 | 74 | 74 | 77 | 72 | 75 | 76 | 62 | 75 | 0 | 29 | ||||
![]() | 13 | C/LW | 100.00 | 80 | 79 | 82 | 63 | 89 | 82 | 73 | 64 | 78 | 68 | 62 | 79 | 61 | 72 | 73 | 54 | 75 | 0 | 29 | ||||
![]() | 56 | LW | 100.00 | 62 | 37 | 91 | 63 | 72 | 83 | 78 | 62 | 66 | 64 | 60 | 61 | 65 | 68 | 70 | 46 | 75 | 0 | 27 | ||||
![]() | 26 | D | 100.00 | 72 | 34 | 82 | 70 | 71 | 88 | 89 | 67 | 30 | 72 | 65 | 81 | 54 | 72 | 71 | 35 | 75 | 0 | 29 | ||||
![]() | 60 | D | 100.00 | 85 | 44 | 68 | 66 | 95 | 79 | 84 | 65 | 30 | 67 | 61 | 64 | 52 | 67 | 69 | 37 | 75 | 0 | 27 | ||||
![]() | 8 | D | 100.00 | 84 | 40 | 76 | 62 | 82 | 81 | 76 | 61 | 30 | 66 | 60 | 67 | 52 | 71 | 72 | 60 | 75 | 0 | 29 | ||||
TEAM AVERAGE | 100.00 | 72 | 46 | 82 | 70 | 79 | 86 | 83 | 68 | 58 | 71 | 66 | 73 | 64 | 77 | 74 | 47 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 81 | 100.00 | 90 | 80 | 74 | 81 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 88 | 90 | 49 | 75 | 0 | 36 | 2,750,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 41 | 100.00 | 74 | 80 | 75 | 79 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 77 | 89 | 43 | 75 | 0 | 34 | |
TEAM AVERAGE | 100.00 | 82 | 80 | 75 | 80 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 83 | 90 | 46 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jim Hiller | 78 | 83 | 82 | 79 | 82 | 77 | 66 | CAN | 55 | 4 | 3,000,000$ |
General Manager | Philippe Dessureault |
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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 |
---|---|---|
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 | 14 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anders Bjork ![]() | LW | 27 | 0$ | RFA | |||||||
Cam Fowler ![]() | D | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Corey Perry | LW/RW | 39 | 0$ | UFA | |||||||
Dillon Dube | C/LW/RW | 25 | 0$ | RFA | |||||||
Elias Pettersson ![]() | C | 25 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | |
Erik Gudbranson ![]() | D | 32 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Jujhar Khaira | C/LW | 29 | 0$ | ||||||||
Keith Kinkaid | D/G | 34 | 0$ | ||||||||
Marc-Edouard Vlasic ![]() | D | 37 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Max Pacioretty | LW | 35 | 0$ | UFA | |||||||
Morgan Frost | C | 25 | 2,100,000$ | 2,100,000$ | RFA | ||||||
Nazem Kadri ![]() | C/LW | 33 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||||
Nicklas Backstrom ![]() | C/G | 36 | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||||
Nico Sturm | C/LW | 29 | 2,000,000$ | 2,000,000$ | |||||||
Philippe Myers | D | 27 | 0$ | RFA | |||||||
Robert Hagg | D | 29 | 0$ | ||||||||
Rourke Chartier ![]() | C | 28 | 0$ | RFA | |||||||
Ryan Hartman | LW/RW | 29 | 0$ | ||||||||
Sean Walker | D | 29 | 0$ | ||||||||
Semyon Varlamov ![]() | D/G | 36 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | RFA | ||||
T.J. Oshie ![]() | LW/RW | 37 | 5,750,000$ | 5,750,000$ | UFA | ||||||
Yanni Gourde ![]() | C/LW/RW | 32 | 5,166,666$ | 5,166,666$ | UFA | ||||||
Zach Whitecloud | D | 27 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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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 |
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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 |
---|---|---|
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 |
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 |
62,609,166$ | 0$ | 0$ | 88,000,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | T-Mobile Arena | |
City | Vegas | ||
Capacity | 17368 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 5368 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 130$ | 95$ | 85$ | 40$ | 210$ |
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$ | 17368 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
62,609,166$ | 62,609,166$ | 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$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 157,052,419$ | 157,052,419$ |
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 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 |
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Aiden Castle | 2022 | 180 | |||
Anton Wahlberg | 2023 | 51 | ELC 2023-24 (slide) | Link | |
Cole Brady | 2019 | 134 | |||
Daniil But | 2023 | 18 | |||
Danny Nelson | 2023 | 50 | |||
Dylan Peterson | 2020 | 97 | ELC 2024-25 | Link | |
Ethan Bowen | 2020 | 204 | |||
Fraser Minten | 2022 | 81 | ELC 2022-23 (slide) | Link | |
Gavin Hayes | 2022 | 116 | ELC 2023-24 (slide) | Link | |
Ilya Fedotov | 2021 | 50 | |||
Jake Fisher | 2023 | 178 | |||
James Jimmy Snuggerud | 2022 | 20 | |||
Jorian Donavan | 2022 | 86 | ELC 2022-23 (slide) | Link | |
Kyler Kovich | 2020 | 180 | |||
Larry Keenan | 2023 | 146 | |||
Leo Gruba | 2022 | 212 | |||
Matthew Samoskevich | 2021 | 31 | ELC 2023-24 (activation) | Link | |
Mikhail Gordeyev | 2020 | 190 | |||
Pasquale Zito | 2021 | 181 | |||
Rieger Lorenz | 2022 | 52 | |||
Ryan Conmy | 2023 | 210 |
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