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Calgary Flames 0-0-0, 0pts · 2nd in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 70 | 34 | 88 | 74 | 91 | 86 | 88 | 72 | 60 | 68 | 81 | 69 | 76 | 83 | 82 | 0 | 81 | 84 | 34 | 6,750,000$/2yrs | |||
![]() | 0 | C | 100.00 | 64 | 33 | 87 | 66 | 79 | 88 | 90 | 63 | 89 | 66 | 67 | 77 | 65 | 86 | 93 | 0 | 81 | 79 | 36 | 5,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 34 | 81 | 67 | 75 | 79 | 87 | 66 | 78 | 66 | 70 | 64 | 68 | 73 | 71 | 0 | 81 | 78 | 28 | 4,250,000$/4yrs | |||
![]() | 23 | RW | 100.00 | 76 | 38 | 83 | 65 | 80 | 79 | 90 | 65 | 61 | 67 | 70 | 58 | 67 | 79 | 77 | 0 | 83 | 78 | 32 | 3,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 33 | 88 | 68 | 81 | 81 | 75 | 65 | 79 | 68 | 68 | 52 | 67 | 68 | 66 | 0 | 81 | 76 | 25 | ||||
![]() | 0 | C/LW/RW | 100.00 | 73 | 32 | 84 | 62 | 71 | 81 | 90 | 64 | 73 | 67 | 66 | 55 | 65 | 78 | 77 | 0 | 75 | 76 | 31 | 3,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 60 | 33 | 93 | 62 | 75 | 76 | 73 | 64 | 55 | 61 | 74 | 55 | 69 | 73 | 73 | 0 | 81 | 75 | 29 | 1,900,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 67 | 32 | 89 | 66 | 72 | 82 | 86 | 64 | 77 | 64 | 69 | 57 | 67 | 65 | 64 | 0 | 76 | 75 | 24 | 2,900,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 77 | 37 | 82 | 64 | 84 | 81 | 77 | 60 | 60 | 69 | 63 | 58 | 61 | 69 | 68 | 0 | 81 | 75 | 26 | ||||
![]() | 0 | C/RW | 100.00 | 82 | 33 | 93 | 55 | 78 | 78 | 86 | 56 | 82 | 56 | 58 | 88 | 57 | 81 | 81 | 0 | 81 | 74 | 33 | 3,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 76 | 35 | 92 | 59 | 81 | 75 | 85 | 61 | 58 | 63 | 63 | 58 | 62 | 75 | 74 | 0 | 81 | 73 | 30 | ||||
![]() | 38 | C | 100.00 | 69 | 32 | 92 | 55 | 72 | 73 | 72 | 54 | 58 | 59 | 56 | 65 | 55 | 74 | 73 | 0 | 78 | 70 | 29 | 900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 58 | 34 | 90 | 64 | 93 | 91 | 90 | 63 | 30 | 70 | 61 | 74 | 62 | 93 | 92 | 0 | 84 | 81 | 40 | ||||
![]() | 6 | D | 100.00 | 65 | 34 | 94 | 59 | 88 | 92 | 90 | 64 | 30 | 66 | 58 | 81 | 61 | 77 | 77 | 0 | 79 | 79 | 31 | 5,250,000$/5yrs | |||
![]() | 0 | D | 100.00 | 61 | 33 | 94 | 60 | 79 | 92 | 83 | 62 | 30 | 66 | 56 | 75 | 59 | 83 | 82 | 0 | 81 | 78 | 34 | 4,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 35 | 82 | 55 | 82 | 85 | 86 | 56 | 30 | 61 | 56 | 68 | 56 | 72 | 71 | 0 | 81 | 73 | 28 | 2,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 76 | 47 | 80 | 55 | 94 | 85 | 87 | 55 | 30 | 59 | 57 | 66 | 56 | 69 | 67 | 0 | 81 | 72 | 26 | ||||
![]() | 0 | D | 100.00 | 66 | 36 | 82 | 55 | 75 | 84 | 88 | 54 | 30 | 62 | 62 | 62 | 58 | 73 | 71 | 0 | 81 | 72 | 29 | 3,200,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 70 | 35 | 87 | 62 | 81 | 83 | 85 | 62 | 56 | 64 | 64 | 66 | 63 | 76 | 76 | 0 | 80 | 76 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 81 | 95 | 81 | 87 | 89 | 84 | 89 | 92 | 91 | 92 | 89 | 85 | 89 | 0 | 80 | 92 | 35 | |
![]() | 0 | 100.00 | 77 | 81 | 74 | 84 | 83 | 76 | 83 | 87 | 83 | 88 | 83 | 80 | 84 | 0 | 82 | 86 | 32 | 1,255,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 79 | 88 | 78 | 86 | 86 | 80 | 86 | 90 | 87 | 90 | 86 | 83 | 87 | 0 | 81 | 89 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Ryan Huska | 80 | 79 | 76 | 82 | 68 | 81 | 79 | CAN | 50 | 4 | 1,000,000$ |
General Manager | Guillaume Papillon |
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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 |
---|---|---|
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 |
Flames Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Newhook ![]() | C/LW/RW | 24 | 2,900,000$ | 2,900,000$ | 2,900,000$ | ||||||
Brent Burns ![]() | D | 40 | 0$ | UFA | |||||||
Chris Kreider ![]() | LW/RW | 34 | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | |||||
David Rittich ![]() | G | 32 | 1,255,000$ | 1,255,000$ | UFA | ||||||
Eric Robinson ![]() | LW/RW | 30 | 0$ | UFA | |||||||
Esa Lindell ![]() | D | 31 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||
Evan Rodrigues ![]() | C/LW/RW | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Filip Chytil ![]() | C/LW | 25 | 0$ | ||||||||
Jacob Markstrom | G | 35 | 0$ | UFA | |||||||
Jalen Chatfield ![]() | D | 29 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | ||||
Matthew Highmore ![]() | C | 29 | 900,000$ | 900,000$ | UFA | ||||||
Maxim Tsyplakov ![]() | RW | 26 | 0$ | ||||||||
Mikael Backlund ![]() | C | 36 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Nick Leddy ![]() | D | 34 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Nicolas Hague ![]() | D | 26 | 0$ | ||||||||
Noel Acciari ![]() | C/RW | 33 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Ross Colton ![]() | C/LW | 28 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||
Sonny Milano ![]() | LW/RW | 29 | 1,900,000$ | 1,900,000$ | UFA | ||||||
Stefan Noesen ![]() | RW | 32 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Zach Whitecloud ![]() | D | 28 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Jamsen ![]() | LW/RW | 22 | 852,500$ | 852,500$ | RFA | ||||||
Adam Werner ![]() | G | 28 | 0$ | UFA | |||||||
Alex-Olivier Voyer ![]() | RW | 26 | 0$ | ![]() | |||||||
Alexander True ![]() | C/RW | 27 | 0$ | ![]() | |||||||
Andrei Altybarmakyan ![]() | RW | 26 | 0$ | ![]() | |||||||
Anthony Angello ![]() | C | 29 | 775,000$ | 775,000$ | UFA | ||||||
Arnaud Durandeau ![]() | LW | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Axel Rindell ![]() | D | 25 | 0$ | ![]() | |||||||
Ben Harpur ![]() | D | 30 | 0$ | UFA | |||||||
Ben Jones ![]() | C | 26 | 0$ | ![]() | |||||||
Brendan Lemieux ![]() | LW/RW | 29 | 900,000$ | 900,000$ | UFA | ||||||
Brian Halonen ![]() | LW/RW | 26 | 900,000$ | 900,000$ | ![]() | ||||||
Callahan Burke ![]() | RW | 28 | 800,000$ | 800,000$ | UFA | ||||||
Chris Jandric ![]() | D | 26 | 0$ | ![]() | |||||||
Collin Delia ![]() | G | 30 | 775,000$ | 775,000$ | UFA | ||||||
Dakota Mermis ![]() | D | 31 | 0$ | UFA | |||||||
Daniil Miromanov ![]() | RW/D | 27 | 1,250,000$ | 1,250,000$ | ![]() | ||||||
Dennis Hildeby ![]() | G | 23 | 0$ | RFA | |||||||
Dominic Toninato ![]() | C | 31 | 775,000$ | 775,000$ | UFA | ||||||
Gianni Fairbrother ![]() | D | 24 | 0$ | RFA | |||||||
Jesper Sellgren ![]() | D | 27 | 0$ | ![]() | |||||||
John Hayden ![]() | RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Kalle Vaisanen ![]() | LW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Kevin Mandolese ![]() | G | 24 | 800,000$ | 800,000$ | RFA | ||||||
Kevin Rooney ![]() | C/LW/RW | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Kyle Keyser ![]() | G | 26 | 0$ | ![]() | |||||||
Lucas Elvenes ![]() | C | 25 | 0$ | ![]() | |||||||
Ludovic Waeber ![]() | G | 28 | 0$ | UFA | |||||||
Mark Friedman ![]() | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
Nic Petan ![]() | C/LW/RW | 30 | 0$ | UFA | |||||||
Nicolas Meloche ![]() | D | 27 | 0$ | ![]() | |||||||
Noah Warren ![]() | D | 20 | 865,000$ | 865,000$ | 865,000$ | RFA | |||||
Troy Stecher ![]() | D | 31 | 800,000$ | 800,000$ | UFA | ||||||
Will Lockwood ![]() | RW | 26 | 0$ | ![]() | |||||||
William Lagesson ![]() | D | 29 | 0$ | UFA | |||||||
Wyatt Newpower ![]() | D | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Zac Dalpe ![]() | C | 35 | 0$ | UFA |
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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 | 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 | |
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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 | 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 | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
47,655,000$ | 0$ | 0$ | 40,345,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Scotiabank Saddledome | |
City | Calgary | ||
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 | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
47,655,000$ | 47,655,000$ | 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$ | 47,655,000$ | 42,294,727$ | 42,294,727$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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Aatos Koivu | 2024 | 60 | |||
Alex Pharand | 2023 | 121 | |||
Austin Baker | 2024 | 220 | |||
Caden Price | 2023 | 52 | |||
Charles Beaudoin | 2020 | 151 | |||
Eric Hjorth | 2019 | 119 | 3.0 - 3.0 | ||
George Fegaras | 2022 | 100 | |||
Guillaume Richard | 2021 | 116 | |||
Gustav Berglund | 2019 | 181 | |||
Ilya Ivantsov | 2021 | 179 | |||
Juuso Maenpaa | 2020 | 84 | |||
Kalan Lind | 2023 | 55 | |||
Mackade Webster | 2019 | 212 | |||
Matias Rajaniemi | 2020 | 135 | |||
Nate Schweitzer | 2020 | 154 | |||
Oskar Magnusson | 2020 | 87 | |||
Reid Valade | 2020 | 195 | |||
Tucker Tynan | 2020 | 143 |