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Toronto Maple Leafs 0-0-0, 0pts · 2nd 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/LW/RW | 100.00 | 62 | 33 | 75 | 89 | 82 | 91 | 88 | 86 | 91 | 88 | 92 | 60 | 89 | 75 | 73 | 0 | 79 | 93 | 29 | 14,000,000$/8yrs | |||
![]() | 20 | C/LW | 100.00 | 64 | 32 | 82 | 83 | 69 | 89 | 89 | 78 | 87 | 82 | 81 | 69 | 79 | 72 | 70 | 0 | 88 | 88 | 27 | 9,750,000$/7yrs | |||
![]() | 72 | C/LW/RW | 100.00 | 67 | 37 | 84 | 82 | 91 | 86 | 89 | 78 | 78 | 71 | 90 | 57 | 84 | 71 | 70 | 0 | 84 | 87 | 27 | 7,142,856$/5yrs | |||
![]() | 16 | C/RW | 100.00 | 83 | 37 | 79 | 73 | 71 | 91 | 90 | 74 | 93 | 77 | 75 | 84 | 74 | 79 | 77 | 0 | 91 | 86 | 31 | 6,000,000$/3yrs | |||
![]() | 64 | C/LW/RW | 100.00 | 65 | 32 | 86 | 72 | 70 | 89 | 89 | 73 | 82 | 81 | 70 | 76 | 71 | 82 | 80 | 0 | 91 | 84 | 33 | 5,250,000$/3yrs | |||
![]() | 39 | C/RW | 100.00 | 73 | 33 | 90 | 75 | 81 | 83 | 89 | 72 | 75 | 69 | 82 | 57 | 77 | 70 | 69 | 0 | 88 | 83 | 26 | 3,000,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 73 | 38 | 76 | 68 | 81 | 81 | 90 | 70 | 83 | 74 | 70 | 68 | 70 | 86 | 99 | 0 | 94 | 82 | 35 | ||||
![]() | 21 | C/LW/RW | 100.00 | 74 | 39 | 80 | 71 | 81 | 79 | 90 | 66 | 79 | 64 | 74 | 70 | 70 | 70 | 69 | 0 | 81 | 79 | 27 | 1,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 33 | 95 | 74 | 80 | 81 | 78 | 68 | 56 | 66 | 73 | 63 | 71 | 65 | 65 | 0 | 92 | 79 | 24 | 2,500,000$/1yrs | |||
![]() | 82 | C/RW | 100.00 | 63 | 34 | 84 | 63 | 88 | 79 | 90 | 61 | 88 | 62 | 66 | 76 | 63 | 73 | 71 | 0 | 92 | 76 | 28 | 1,000,000$/1yrs | |||
![]() | 74 | D | 100.00 | 64 | 34 | 86 | 72 | 86 | 97 | 90 | 72 | 30 | 79 | 61 | 85 | 66 | 85 | 84 | 0 | 93 | 87 | 35 | 8,000,000$/1yrs | |||
![]() | 96 | D | 100.00 | 66 | 33 | 78 | 75 | 85 | 92 | 85 | 70 | 30 | 77 | 62 | 84 | 66 | 75 | 72 | 0 | 94 | 86 | 29 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 33 | 88 | 55 | 77 | 89 | 88 | 61 | 30 | 64 | 55 | 77 | 58 | 85 | 84 | 0 | 80 | 76 | 35 | ||||
![]() | 8 | D | 100.00 | 67 | 32 | 83 | 60 | 68 | 92 | 88 | 61 | 30 | 65 | 61 | 76 | 61 | 66 | 64 | 0 | 94 | 76 | 24 | 4,500,000$/2yrs | |||
![]() | 41 | D | 100.00 | 76 | 32 | 85 | 61 | 73 | 87 | 88 | 58 | 30 | 66 | 59 | 67 | 58 | 64 | 62 | 0 | 91 | 75 | 23 | ||||
Scratches | ||||||||||||||||||||||||||
![]() | 22 | C/RW | 100.00 | 66 | 39 | 81 | 60 | 70 | 73 | 73 | 68 | 40 | 65 | 61 | 71 | 63 | 77 | 75 | 0 | 78 | 75 | 31 | ||||
![]() | 19 | LW | 100.00 | 80 | 40 | 88 | 60 | 69 | 75 | 84 | 58 | 75 | 59 | 62 | 76 | 60 | 68 | 67 | 0 | 25 | 73 | 25 | ||||
![]() | 0 | D | 100.00 | 97 | 50 | 79 | 55 | 88 | 81 | 89 | 54 | 30 | 57 | 53 | 74 | 53 | 85 | 83 | 0 | 84 | 74 | 35 | ||||
TEAM AVERAGE | 100.00 | 71 | 36 | 83 | 69 | 78 | 85 | 87 | 68 | 62 | 70 | 69 | 72 | 69 | 75 | 74 | 0 | 84 | 81 |
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 ) |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 35 | 100.00 | 88 | 95 | 82 | 80 | 91 | 77 | 91 | 94 | 86 | 96 | 91 | 74 | 78 | 0 | 90 | 91 | 28 | 1,200,000$/1yrs |
![]() | 1 | 100.00 | 84 | 79 | 74 | 73 | 86 | 75 | 86 | 86 | 84 | 87 | 86 | 82 | 86 | 0 | 90 | 86 | 33 | 1,250,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 86 | 87 | 78 | 77 | 89 | 76 | 89 | 90 | 85 | 92 | 89 | 78 | 82 | 0 | 90 | 89 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Cassidy | 78 | 85 | 88 | 69 | 78 | 88 | 80 | CAN | 55 | 4 | 1,000,000$ |
General Manager | Dominic Dubé |
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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 |
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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 | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 16 |
LTIR Players | 0 |
Maple Leafs Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Poturalski ![]() | C/RW | 31 | 0$ | UFA | |||||||
Brett Howden ![]() | C/LW/RW | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Cam York ![]() | D | 24 | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||||
Casey DeSmith ![]() | G | 33 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Christopher Tanev ![]() | D | 35 | 0$ | UFA | |||||||
Connor Dewar ![]() | LW | 25 | 0$ | ||||||||
Jake Walman ![]() | D | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Jamie Benn ![]() | C/LW | 35 | 0$ | UFA | |||||||
Joey Daccord ![]() | G | 28 | 1,200,000$ | 1,200,000$ | UFA | ||||||
John Carlson ![]() | D | 35 | 8,000,000$ | 8,000,000$ | UFA | ||||||
Kevin Stenlund ![]() | C/RW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Leon Draisaitl ![]() | C/LW/RW | 29 | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ |
Luke Schenn ![]() | D | 35 | 0$ | UFA | |||||||
Mikael Granlund ![]() | C/LW/RW | 33 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||
Morgan Geekie ![]() | C/RW | 26 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Ryker Evans ![]() | D | 23 | 0$ | RFA | |||||||
Sebastian Aho ![]() | C/LW | 27 | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | UFA |
Tage Thompson ![]() | C/LW/RW | 27 | 7,142,856$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | UFA | ||
Vincent Trocheck ![]() | C/RW | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Yegor Chinakhov ![]() | LW/RW | 24 | 2,500,000$ | 2,500,000$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ruzicka ![]() | C | 26 | 0$ | ![]() | |||||||
Aku Raty ![]() | RW | 23 | 0$ | RFA | |||||||
Albert Johansson ![]() | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Aleksi Heponiemi ![]() | C/RW | 26 | 0$ | ![]() | |||||||
Alex Steeves ![]() | C | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Brandon Coe ![]() | RW | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Brayden Pachal ![]() | D | 25 | 0$ | ![]() | |||||||
Cal Foote ![]() | D | 26 | 0$ | ![]() | |||||||
Cal Petersen ![]() | G | 30 | 850,000$ | 850,000$ | UFA | ||||||
Calum Ritchie ![]() | C | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Connor Mackey ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Cooper Black ![]() | G | 24 | 950,000$ | 950,000$ | RFA | ||||||
Drew Bavaro ![]() | D | 25 | 867,500$ | 867,500$ | ![]() | ||||||
Dryden Hunt ![]() | LW | 29 | 850,000$ | 850,000$ | UFA | ||||||
Eetu Tuulola ![]() | RW | 27 | 0$ | ![]() | |||||||
Gabriel Fortier ![]() | C | 25 | 0$ | ![]() | |||||||
Ivan Lodnia ![]() | RW | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Jacob Peterson ![]() | C/LW | 25 | 0$ | ![]() | |||||||
Jagger Firkus ![]() | RW | 21 | 891,667$ | 891,667$ | 891,667$ | RFA | |||||
Jake Christiansen ![]() | D | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Jan Jenik ![]() | RW | 24 | 900,000$ | 900,000$ | RFA | ||||||
Laurent Dauphin ![]() | LW/RW | 30 | 780,000$ | 780,000$ | UFA | ||||||
Lauri Pajuniemi ![]() | RW | 25 | 875,000$ | 875,000$ | ![]() | ||||||
Lias Andersson ![]() | C | 26 | 0$ | ![]() | |||||||
Matt Nieto ![]() | LW/RW | 32 | 0$ | UFA | |||||||
Matthew Seminoff ![]() | RW | 21 | 850,000$ | 850,000$ | RFA | ||||||
Maxim Groshev ![]() | LW | 23 | 867,500$ | 867,500$ | RFA | ||||||
Michael Benning ![]() | D | 23 | 0$ | RFA | |||||||
Michael Eyssimont ![]() | C/LW | 28 | 800,000$ | 800,000$ | UFA | ||||||
Michael Vukojevic ![]() | D | 24 | 875,000$ | 875,000$ | RFA | ||||||
Olle Eriksson Ek ![]() | G | 25 | 0$ | ![]() | |||||||
Philip Kemp ![]() | D | 26 | 0$ | ![]() | |||||||
Ruslan Iskhakov ![]() | C | 24 | 900,000$ | 900,000$ | RFA | ||||||
Travis Boyd ![]() | C/LW/RW | 31 | 900,000$ | 900,000$ | UFA | ||||||
Trent Miner ![]() | G | 24 | 900,000$ | 900,000$ | RFA | ||||||
Victor Soderstrom ![]() | D | 24 | 0$ | RFA | |||||||
Vinni Lettieri ![]() | C | 30 | 875,000$ | 875,000$ | UFA | ||||||
William Stromgren ![]() | LW | 22 | 990,833$ | 990,833$ | RFA | ||||||
Zack Ostapchuk ![]() | C | 22 | 825,000$ | 825,000$ | RFA |
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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 | |
---|---|---|
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 | |
---|---|---|
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 | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
69,442,857$ | 0$ | 0$ | 18,557,143$ |
Arena | Goal Horn | About us | |
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![]() | Name | Scotiabank Arena | |
City | Toronto | ||
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 |
69,442,857$ | 69,442,857$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
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$ | 69,442,857$ | 79,394,922$ | 79,394,922$ |
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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 |
---|---|---|---|---|---|
Antonin Verreault | 2022 | 87 | |||
Ayrton Martino | 2021 | 43 | |||
Blake Montgomery | 2024 | 127 | |||
Brent Johnson | 2021 | 62 | |||
Carter George | 2024 | 71 | |||
Gavin Hodnett | 2024 | 217 | |||
Heikki Ruohonen | 2024 | 123 | |||
Hugo Zetterlund | 2024 | 218 | |||
Ian Moore | 2020 | 139 | |||
Ilya Nazarov | 2021 | 197 | |||
Jack Pridham | 2024 | 101 | |||
Jackson Hallum | 2020 | 117 | |||
Jacob Cederholm | |||||
John Whipple | 2024 | 124 | |||
Kaden Hammell | 2023 | 168 | |||
Kirill Slepets | 2019 | 108 | |||
Leon Muggli | 2024 | 75 | |||
Ludwig Persson | 2022 | 93 | |||
Mats Lindgren | 2022 | 41 | |||
Max Plante | 2024 | 66 | |||
Michael Brandsegg-Nygard | 2024 | 17 | |||
Mikhail Ilyin | 2023 | 165 | |||
Noah Beck | |||||
Radovan Bondra | 3.5 - 2.5 | ||||
Ruben Rafkin | 2020 | 92 | |||
Spencer Sova | 2022 | 221 | |||
Tyler Muszelik | 2022 | 161 |