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Philadelphia Flyers 10-12-4, 24pts · 13th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 93 | C | 100.00 | 66 | 33 | 91 | 87 | 80 | 88 | 90 | 84 | 87 | 86 | 87 | 84 | 85 | 77 | 86 | 0 | 38 | 94 | 30 | 8,500,000$/5yrs | |||
![]() | 91 | C/LW/RW | 100.00 | 70 | 32 | 82 | 91 | 71 | 87 | 90 | 85 | 84 | 88 | 86 | 68 | 86 | 82 | 99 | 0 | 44 | 94 | 33 | 8,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 74 | 45 | 58 | 76 | 80 | 80 | 90 | 75 | 81 | 73 | 81 | 94 | 78 | 74 | 69 | 0 | 45 | 88 | 28 | 2,500,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 67 | 51 | 79 | 85 | 89 | 84 | 90 | 74 | 85 | 66 | 86 | 78 | 80 | 74 | 72 | 0 | 39 | 87 | 28 | 3,150,000$/6yrs | |||
![]() | 71 | C/RW | 100.00 | 66 | 38 | 74 | 76 | 74 | 85 | 86 | 76 | 84 | 76 | 73 | 89 | 74 | 69 | 67 | 0 | 48 | 86 | 26 | 5,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 32 | 89 | 73 | 70 | 85 | 86 | 75 | 60 | 78 | 74 | 82 | 74 | 83 | 89 | 0 | 34 | 86 | 34 | 4,500,000$/3yrs | |||
![]() | 18 | LW/RW | 100.00 | 74 | 33 | 92 | 73 | 75 | 82 | 85 | 73 | 56 | 77 | 73 | 71 | 73 | 80 | 88 | 0 | 31 | 84 | 32 | 5,500,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 33 | 88 | 67 | 77 | 83 | 87 | 68 | 81 | 66 | 72 | 94 | 70 | 85 | 90 | 0 | 46 | 83 | 35 | 1,300,000$/2yrs | |||
![]() | 16 | C/LW | 100.00 | 80 | 48 | 79 | 67 | 86 | 78 | 81 | 65 | 77 | 68 | 67 | 86 | 66 | 74 | 72 | 0 | 43 | 81 | 29 | 775,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 87 | 33 | 81 | 73 | 84 | 77 | 90 | 70 | 61 | 70 | 73 | 64 | 71 | 65 | 63 | 0 | 49 | 80 | 24 | 775,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 62 | 32 | 91 | 61 | 70 | 74 | 89 | 66 | 79 | 66 | 69 | 77 | 68 | 87 | 86 | 0 | 18 | 79 | 36 | 1,450,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 74 | 39 | 78 | 65 | 77 | 79 | 78 | 68 | 75 | 72 | 66 | 78 | 67 | 64 | 61 | 0 | 37 | 79 | 23 | 1,400,000$/2yrs | |||
![]() | 23 | D | 98.00 | 59 | 32 | 87 | 85 | 70 | 96 | 90 | 81 | 30 | 89 | 71 | 88 | 76 | 69 | 67 | 0 | 36 | 92 | 25 | 9,500,000$/6yrs | |||
![]() | 0 | D | 98.00 | 73 | 33 | 85 | 75 | 82 | 94 | 90 | 76 | 30 | 80 | 69 | 88 | 72 | 79 | 78 | 0 | 17 | 90 | 31 | 6,200,000$/3yrs | |||
![]() | 46 | D | 100.00 | 57 | 33 | 64 | 80 | 85 | 90 | 90 | 71 | 30 | 70 | 79 | 91 | 75 | 72 | 69 | 0 | 41 | 87 | 27 | 3,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 65 | 32 | 86 | 73 | 73 | 93 | 89 | 73 | 30 | 77 | 71 | 84 | 72 | 71 | 70 | 0 | 43 | 86 | 27 | 3,000,000$/1yrs | |||
![]() | 6 | D | 100.00 | 80 | 34 | 91 | 60 | 90 | 84 | 87 | 69 | 30 | 69 | 62 | 87 | 66 | 85 | 84 | 0 | 39 | 84 | 35 | 1,500,000$/1yrs | |||
![]() | 2 | D | 100.00 | 99 | 58 | 64 | 61 | 88 | 83 | 86 | 67 | 30 | 71 | 63 | 81 | 65 | 82 | 79 | 0 | 53 | 84 | 34 | 1,250,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 78 | 39 | 72 | 61 | 86 | 84 | 87 | 66 | 30 | 69 | 66 | 78 | 66 | 74 | 71 | 0 | 29 | 81 | 29 | 1,500,000$/3yrs | |||
TEAM AVERAGE | 99.79 | 71 | 37 | 81 | 73 | 79 | 85 | 87 | 73 | 59 | 74 | 73 | 82 | 73 | 76 | 77 | 0 | 38 | 86 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 96 | 95 | 85 | 85 | 94 | 85 | 94 | 95 | 91 | 96 | 94 | 77 | 81 | 0 | 31 | 94 | 30 | 6,166,666$/6yrs |
![]() | 0 | 100.00 | 83 | 91 | 79 | 88 | 96 | 85 | 95 | 96 | 92 | 98 | 95 | 72 | 77 | 0 | 32 | 93 | 27 | 2,600,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 90 | 93 | 82 | 87 | 95 | 85 | 95 | 96 | 92 | 97 | 95 | 75 | 79 | 0 | 32 | 94 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jay Woodcroft | 81 | 76 | 99 | 83 | 80 | 76 | 76 | CAN | 60 | 3 | 1,000,000$ |
General Manager | Pierre-Etienne Jobin |
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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 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Steven Stamkos | 91 | C/LW/RW | 26 | 10 | 12 | 22 | 2 | 10 | 0 | 41 | 76 | 20 | 50 | 13.16% | 1 | 20.25 | 1 | 3 | 4 | 79 | 0 | 0 | 0 | 2 | 2 | 1 | 47.20% | 161 | 0 | 0 | 0 | 0 | 0.84 | 0 | 2 | |
2 | Adam Fox | 23 | D | 26 | 3 | 18 | 21 | -4 | 14 | 0 | 22 | 25 | 8 | 29 | 12.00% | 25 | 25.51 | 3 | 7 | 10 | 77 | 0 | 0 | 0 | 84 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
3 | Mika Zibanejad | 93 | C | 26 | 8 | 11 | 19 | -1 | 14 | 0 | 25 | 93 | 39 | 70 | 8.60% | 9 | 20.63 | 3 | 2 | 5 | 79 | 2 | 0 | 2 | 35 | 2 | 0 | 52.69% | 670 | 0 | 0 | 0 | 1 | 0.71 | 0 | 2 | |
4 | Anthony Cirelli | 71 | C/RW | 26 | 6 | 12 | 18 | -6 | 12 | 0 | 32 | 69 | 22 | 60 | 8.70% | 8 | 19.72 | 2 | 4 | 6 | 71 | 0 | 0 | 0 | 87 | 0 | 0 | 53.40% | 485 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
5 | Jake Walman | 46 | D | 26 | 2 | 16 | 18 | -4 | 33 | 5 | 65 | 42 | 16 | 35 | 4.76% | 35 | 24.16 | 1 | 7 | 8 | 77 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
6 | Gustav Forsling | 0 | D | 26 | 5 | 11 | 16 | -1 | 4 | 0 | 20 | 29 | 11 | 22 | 17.24% | 23 | 22.28 | 3 | 2 | 5 | 74 | 0 | 2 | 2 | 78 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
7 | Gustav Nyquist | 0 | LW/RW | 26 | 4 | 10 | 14 | -4 | 4 | 0 | 19 | 53 | 19 | 32 | 7.55% | 2 | 18.89 | 1 | 4 | 5 | 75 | 0 | 0 | 0 | 1 | 1 | 2 | 43.75% | 32 | 0 | 0 | 0 | 0 | 0.57 | 1 | 1 | |
8 | Nick Paul | 0 | C/LW/RW | 26 | 9 | 3 | 12 | -3 | 11 | 5 | 19 | 61 | 17 | 39 | 14.75% | 1 | 15.92 | 1 | 1 | 2 | 58 | 0 | 0 | 0 | 13 | 1 | 1 | 53.27% | 199 | 0 | 0 | 0 | 0 | 0.58 | 0 | 2 | |
9 | Justin Faulk | 0 | D | 25 | 1 | 10 | 11 | -9 | 10 | 0 | 38 | 33 | 10 | 23 | 3.03% | 32 | 22.79 | 0 | 3 | 3 | 67 | 0 | 2 | 2 | 67 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
10 | Nick Bonino | 0 | C/LW | 26 | 5 | 2 | 7 | -4 | 0 | 0 | 5 | 34 | 11 | 22 | 14.71% | 4 | 11.11 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 36 | 1 | 0 | 51.01% | 298 | 0 | 0 | 2 | 0 | 0.48 | 0 | 0 | |
11 | Ondrej Palat | 18 | LW/RW | 26 | 3 | 4 | 7 | -5 | 4 | 0 | 29 | 32 | 10 | 26 | 9.38% | 1 | 13.38 | 2 | 1 | 3 | 59 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 30 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
12 | Jason Dickinson | 0 | C/LW | 26 | 2 | 3 | 5 | -7 | 29 | 5 | 26 | 47 | 12 | 31 | 4.26% | 3 | 14.60 | 0 | 1 | 1 | 15 | 0 | 0 | 0 | 95 | 0 | 0 | 52.66% | 188 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
13 | Erik Johnson | 6 | D | 26 | 0 | 4 | 4 | -5 | 20 | 0 | 41 | 10 | 7 | 8 | 0.00% | 21 | 16.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
14 | Jujhar Khaira | 16 | C/LW | 13 | 0 | 2 | 2 | -2 | 4 | 0 | 22 | 10 | 4 | 8 | 0.00% | 0 | 9.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 44.59% | 74 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
15 | Luke Schenn | 2 | D | 10 | 1 | 1 | 2 | -4 | 15 | 5 | 21 | 4 | 1 | 0 | 25.00% | 7 | 11.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
16 | Carson Soucy | 0 | D | 16 | 1 | 1 | 2 | -8 | 14 | 0 | 22 | 7 | 1 | 2 | 14.29% | 12 | 13.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
17 | Paul Cotter | 0 | C/LW | 8 | 1 | 1 | 2 | -1 | 4 | 0 | 8 | 4 | 2 | 5 | 25.00% | 1 | 7.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
18 | Ty Dellandrea | 0 | C/RW | 26 | 0 | 1 | 1 | -4 | 4 | 0 | 33 | 19 | 8 | 16 | 0.00% | 3 | 9.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 12 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | |
19 | Derek Ryan | 0 | C/LW/RW | 25 | 0 | 0 | 0 | -5 | 0 | 0 | 4 | 14 | 6 | 13 | 0.00% | 3 | 10.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51 | 0 | 0 | 51.52% | 33 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 435 | 61 | 122 | 183 | -75 | 206 | 20 | 492 | 662 | 224 | 491 | 9.21% | 191 | 17.01 | 17 | 35 | 52 | 739 | 2 | 4 | 6 | 694 | 8 | 5 | 51.56% | 2184 | 0 | 0 | 2 | 1 | 0.49 | 1 | 7 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Hellebuyck | 21 | 6 | 10 | 2 | 0.896 | 3.16 | 1083 | 4 | 1 | 57 | 548 | 0 | 0 | 0 | 0.857 | 7 | 19 | 7 | 2 | 1 | 1 | |
2 | Adin Hill | 11 | 4 | 2 | 2 | 0.888 | 3.29 | 493 | 0 | 0 | 27 | 242 | 0 | 0 | 0 | 0.000 | 0 | 7 | 19 | 0 | 1 | 0 | |
Team Total or Average | 32 | 10 | 12 | 4 | 0.894 | 3.20 | 1576 | 4 | 1 | 84 | 790 | 0 | 0 | 0 | 0.857 | 7 | 26 | 26 | 2 | 2 | 1 |
Projected Total Cap Hit | 78,459,312$ |
Projected Cap Space | 5,040,688$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 24,444,780$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Flyers Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox | D | 25 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |
Adin Hill | G | 27 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | ||||
Anthony Cirelli | C/RW | 26 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Carson Soucy | D | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Connor Hellebuyck | G | 30 | 6,166,666$ | 6,166,666$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |
Derek Ryan | C/LW/RW | 36 | 1,450,000$ | 1,450,000$ | 1,450,000$ | UFA | |||||
Erik Johnson | D | 35 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Gustav Forsling | D | 27 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Gustav Nyquist | LW/RW | 34 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Jake Walman | D | 27 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Jason Dickinson | C/LW | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
Jujhar Khaira ![]() | C/LW | 29 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Justin Faulk | D | 31 | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | UFA | ||||
Luke Schenn ![]() | D | 34 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Mika Zibanejad | C | 30 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | ||
Nick Bonino | C/LW | 35 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Nick Paul | C/LW/RW | 28 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | |
Ondrej Palat | LW/RW | 32 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Paul Cotter ![]() | C/LW | 24 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | |||||
Steven Stamkos | C/LW/RW | 33 | 8,500,000$ | 8,500,000$ | UFA | ||||||
Ty Dellandrea | C/RW | 23 | 1,400,000$ | 1,400,000$ | 1,400,000$ |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Scheel ![]() | G | 24 | 775,000$ | 775,000$ | ![]() | ||||||
Alex Chiasson ![]() | LW/RW | 33 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Amir Miftakhov ![]() | G | 23 | 838,333$ | 838,333$ | ![]() | ||||||
Andrew Poturalski ![]() | C/RW | 29 | 800,000$ | 800,000$ | UFA | ||||||
Bennett MacArthur ![]() | LW | 22 | 859,167$ | 859,167$ | 859,167$ | ![]() | |||||
Brendan Perlini ![]() | LW | 27 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Christian Fischer ![]() | C/LW/RW | 26 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Collin Delia ![]() | G | 29 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Curtis Douglas ![]() | C | 23 | 775,000$ | 775,000$ | ![]() | ||||||
Devin Shore ![]() | C | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Dylan Sikura ![]() | C/LW/RW | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Evan Fitzpatrick ![]() | G | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Jeff Malott ![]() | LW | 27 | 800,000$ | 800,000$ | UFA | ||||||
Jeremie Biakabutuka ![]() | D | 21 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | ![]() | ||||
Jordan Frasca ![]() | C | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Kirill Ustimenko ![]() | G | 24 | 775,000$ | 775,000$ | ![]() | ||||||
Lane Pederson ![]() | C/RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Mark Pysyk ![]() | D | 31 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Mason Shaw ![]() | C/LW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Maxim Cajkovic ![]() | LW/RW | 22 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Nicholas Abruzzese ![]() | C/LW | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | UFA | ||||
Nick Seeler ![]() | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Nolan Burke ![]() | C | 21 | 861,667$ | 861,667$ | 861,667$ | RFA | |||||
Peetro Seppala ![]() | D | 23 | 855,000$ | 855,000$ | RFA | ||||||
Robin Salo ![]() | D | 25 | 1,250,000$ | 1,250,000$ | ![]() | ||||||
Sam Carrick ![]() | C/RW | 31 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Simon Johansson ![]() | D | 24 | 855,000$ | 855,000$ | ![]() | ||||||
Trevor Carrick ![]() | D | 29 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Tyler Wotherspoon ![]() | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Vladislav Kolyachonok ![]() | D | 22 | 789,000$ | 789,000$ | RFA | ||||||
Wade Allison ![]() | RW | 26 | 1,100,000$ | 1,100,000$ | ![]() | ||||||
Will Cranley ![]() | G | 21 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Zach Dean ![]() | C | 20 | 883,333$ | 883,333$ | 883,333$ | 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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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 34 | 8 | 13 | 13 | 0 | 16 | 8 | 13 | 19 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 26 | 17 | 19 | 7 | 14 | 6 | 33.3% | 5.9% | 68.8% | 74.6 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 31 | 12 | 7 | 12 | 0 | 40 | 17 | 8 | 24 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 20 | 14 | 25 | 7 | 13 | 6 | 80.0% | 12.9% | 97.5% | 110.4 | LUCKY | |
3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 52 | 20 | 15 | 17 | 0 | 72 | 19 | 18 | 38 | 5 | 1 | 20.00% | 8 | 2 | 75.00% | 1 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 45 | 32 | 49 | 15 | 24 | 11 | 33.3% | 7.7% | 88.9% | 96.6 | Unlucky | |
4 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 83 | 36 | 25 | 22 | 0 | 94 | 16 | 22 | 61 | 8 | 2 | 25.00% | 11 | 1 | 90.91% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 75 | 52 | 66 | 19 | 38 | 18 | 21.4% | 6.0% | 87.2% | 93.3 | Unlucky | |
5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 1 | 1 | 26 | 11 | 3 | 11 | 1 | 31 | 5 | 8 | 23 | 5 | 1 | 20.00% | 4 | 2 | 50.00% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 26 | 19 | 21 | 7 | 12 | 6 | 75.0% | 15.4% | 90.3% | 105.7 | FUN | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 37 | 18 | 9 | 10 | 0 | 12 | 4 | 4 | 13 | 7 | 2 | 28.57% | 2 | 1 | 50.00% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 27 | 19 | 20 | 7 | 12 | 6 | 50.0% | 13.5% | 66.7% | 80.2 | FUN | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 31 | 16 | 11 | 4 | 0 | 41 | 9 | 6 | 23 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 24 | 17 | 23 | 6 | 12 | 6 | 50.0% | 6.5% | 92.7% | 99.1 | DULL | |
8 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 10 | -6 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 0 | 4 | 0 | 0 | 54 | 18 | 19 | 16 | 1 | 64 | 19 | 12 | 28 | 7 | 3 | 42.86% | 6 | 1 | 83.33% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 53 | 39 | 42 | 12 | 24 | 12 | 10.0% | 7.4% | 84.4% | 91.8 | Unlucky | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 20 | 7 | 6 | 7 | 0 | 36 | 5 | 12 | 19 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 22 | 14 | 24 | 7 | 13 | 6 | 71.4% | 25.0% | 91.7% | 116.7 | LUCKY | |
10 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 29 | 9 | 8 | 10 | 2 | 26 | 3 | 12 | 24 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 1 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 29 | 21 | 21 | 8 | 13 | 6 | 40.0% | 13.8% | 80.8% | 94.6 | FUN | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 0 | 50 | 18 | 16 | 16 | 0 | 62 | 11 | 25 | 42 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 46 | 32 | 48 | 14 | 24 | 12 | 62.5% | 12.0% | 91.9% | 103.9 | LUCKY | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 12 | 19 | 0 | 1 | 2 | 3 | 2 | 0 | 49 | 19 | 15 | 15 | 0 | 65 | 21 | 18 | 41 | 8 | 3 | 37.50% | 8 | 0 | 100.00% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 43 | 28 | 50 | 15 | 26 | 12 | 57.1% | 14.3% | 95.4% | 109.7 | LUCKY | |
13 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 3 | 0.750 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 43 | 12 | 9 | 21 | 1 | 54 | 17 | 12 | 36 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 49 | 33 | 47 | 15 | 24 | 12 | 40.0% | 7.0% | 94.4% | 101.4 | DULL | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 7 | 3 | 8 | 0 | 37 | 6 | 27 | 22 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 23 | 15 | 25 | 7 | 11 | 5 | 0.0% | 0.0% | 94.6% | 94.6 | DULL | |
15 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 3 | 0 | 2 | 1 | 63 | 24 | 18 | 20 | 8 | 45 | 13 | 11 | 39 | 12 | 1 | 8.33% | 3 | 1 | 66.67% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 56 | 40 | 45 | 15 | 27 | 13 | 50.0% | 9.5% | 86.7% | 96.2 | FUN | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 21 | 11 | 4 | 6 | 0 | 23 | 2 | 8 | 15 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 22 | 14 | 23 | 7 | 13 | 6 | 0.0% | 4.8% | 78.3% | 83.0 | Unlucky | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 61 | 21 | 28 | 12 | 0 | 72 | 8 | 17 | 43 | 1 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 48 | 34 | 45 | 13 | 26 | 13 | 50.0% | 8.2% | 90.3% | 98.5 | Unlucky | |
_Vs Division | 11 | 2 | 6 | 0 | 1 | 0 | 1 | 1 | 28 | 37 | -9 | 9 | 0.409 | 28 | 51 | 79 | 0 | 1 | 9 | 7 | 10 | 2 | 307 | 118 | 89 | 98 | 9 | 323 | 82 | 90 | 221 | 40 | 8 | 20.00% | 38 | 7 | 81.58% | 1 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 274 | 190 | 252 | 80 | 143 | 71 | 40.0% | 9.1% | 88.5% | 97.7 | FUN | |
_Vs Conference | 14 | 4 | 7 | 0 | 1 | 0 | 1 | 1 | 38 | 43 | -5 | 13 | 0.464 | 38 | 69 | 107 | 0 | 1 | 12 | 11 | 13 | 2 | 388 | 148 | 112 | 126 | 9 | 425 | 110 | 123 | 287 | 48 | 9 | 18.75% | 51 | 9 | 82.35% | 1 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 342 | 237 | 326 | 102 | 182 | 89 | 46.0% | 9.8% | 89.9% | 99.7 | FUN | |
_Since Last GM Reset | 26 | 8 | 12 | 0 | 1 | 3 | 1 | 1 | 67 | 85 | -18 | 24 | 0.462 | 67 | 122 | 189 | 0 | 1 | 19 | 25 | 21 | 2 | 702 | 267 | 209 | 220 | 13 | 790 | 183 | 233 | 510 | 89 | 18 | 20.22% | 96 | 18 | 81.25% | 2 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 642 | 447 | 600 | 190 | 334 | 166 | 42.2% | 9.5% | 89.2% | 98.8 | FUN | |
Total | 26 | 8 | 12 | 0 | 1 | 3 | 1 | 1 | 67 | 85 | -18 | 24 | 0.462 | 67 | 122 | 189 | 0 | 1 | 19 | 25 | 21 | 2 | 702 | 267 | 209 | 220 | 13 | 790 | 183 | 233 | 510 | 89 | 18 | 20.22% | 96 | 18 | 81.25% | 2 | 474 | 877 | 54.05% | 451 | 884 | 51.02% | 217 | 419 | 51.79% | 642 | 447 | 600 | 190 | 334 | 166 | 42.2% | 9.5% | 89.2% | 98.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 877 |
Neutral Zone Start | 419 |
Defensive Zone Start | 884 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1142 |
Faceoffs Lost | 1038 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 18.3 | 20.31 |
3rd Period | 26.8 | 30.68 |
Overtime | 27.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 47 |
---|---|
PP Goal | 18 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 6 | 4 |
Lost | 5 | 7 |
Overtime Lost | 2 | 2 |
PP Attempt | 89 |
---|---|
PP Goal | 18 |
PK Attempt | 96 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 27.0 |
Shots Against | 30.4 |
Goals For | 2.6 |
Goals Against | 3.3 |
Hits | 19.6 |
Shots Blocked | 7.0 |
Pim | 9.0 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-12 | @ | Flyers5,Blue Jackets3 | RECAP | |||||||||||
2023-10-14 | @ | Flyers4,Senators1 | RECAP | |||||||||||
2023-10-17 | @ | Canucks3,Flyers2 | RECAP | |||||||||||
2023-10-19 | @ | Oilers3,Flyers5 | RECAP | |||||||||||
2023-10-21 | @ | Flyers0,Stars2 | RECAP | |||||||||||
2023-10-24 | @ | Flyers2,Golden Knights5 | RECAP | |||||||||||
2023-10-26 | @ | Wild4,Flyers5 | RECAP | |||||||||||
2023-10-28 | @ | Ducks2,Flyers3 | RECAP | |||||||||||
2023-10-30 | @ | Hurricanes3,Flyers0 | RECAP | |||||||||||
2023-11-01 | @ | Sabres3,Flyers2 | RECAP | |||||||||||
2023-11-03 | @ | Flyers4,Sabres2 | RECAP | |||||||||||
2023-11-04 | @ | Kings2,Flyers1 (OT) | RECAP | |||||||||||
2023-11-07 | @ | Flyers1,Sharks5 | RECAP | |||||||||||
2023-11-10 | @ | Flyers0,Ducks1 (OT) | RECAP | |||||||||||
2023-11-11 | @ | Flyers3,Kings8 | RECAP | |||||||||||
2023-11-15 | @ | Flyers3,Hurricanes5 | RECAP | |||||||||||
2023-11-18 | @ | Golden Knights2,Flyers3 | RECAP | |||||||||||
2023-11-19 | @ | Blue Jackets0,Flyers2 | RECAP | |||||||||||
2023-11-22 | @ | Flyers3,Islanders4 | RECAP | |||||||||||
2023-11-24 | @ | Rangers3,Flyers4 (OT) | RECAP | |||||||||||
2023-11-25 | @ | Flyers1,Islanders4 | RECAP | |||||||||||
2023-11-28 | @ | Hurricanes4,Flyers2 | RECAP | |||||||||||
2023-11-30 | @ | Devils5,Flyers2 | RECAP | |||||||||||
2023-12-02 | @ | Flyers3,Penguins2 (SO) | RECAP | |||||||||||
2023-12-04 | @ | Penguins4,Flyers3 (SO) | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,566,666$ | 0$ | 78,459,312$ | 4,933,334$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Wells Fargo Center | |
City | Philadelphia | ||
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 | 73655 | 60420 | 25025 | 49382 | 12032 |
Attendance PCT | 94.43% | 92.95% | 96.25% | 94.97% | 92.55% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
28 | 16963 - 94.24% | 1,491,108$ | 19,384,406$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,566,666$ | 78,566,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
24,757,308$ | 409,201$ | 24,444,780$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
41,751,028$ | 132 | 414,410$ | 54,702,120$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
57,345,015$ | 78,566,666$ | 47,943,236$ | 32,349,249$ |
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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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2024 | ||||||||
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Priority | Type | Description |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aidan Hreschuk | 2021 | 82 | |||
Alexander Rykov | 2023 | 90 | |||
Arseny Koromyslov | 2022 | 143 | |||
Arvid Bergstrom | 2023 | 219 | |||
Beckett Hendrickson | 2023 | 135 | |||
Brandon Lisowsky | 2022 | 167 | |||
Brayden Peters | 2020 | 187 | |||
Bryce Montgomery | 2021 | 172 | |||
Chase McLane | |||||
Daniil But | 2023 | 30 | |||
Dru Krebs | 2021 | 162 | |||
Garin Bjorklund | 2020 | 145 | |||
Jake Boltmann | |||||
Jake Karabela | 2022 | 122 | |||
James Fisher | 2022 | 218 | |||
Joni Jurmo | 2020 | 63 | |||
Juho Markkanen | 2020 | 181 | |||
Justin Janicke | 2021 | 183 | |||
Kasper Puutio | 2020 | 119 | |||
Kirill Gerasimyuk | 2021 | 119 | |||
Landon Sim | 2022 | 208 | |||
Logan Neaton | 2019 | 166 | |||
Marcus Davidsson | 6.0 - 5.0 | ||||
Matthew Soto | 2023 | 195 | |||
Matvey Petrov | 2021 | 151 | |||
Noah Laba | 2022 | 123 | |||
Olof Lindbom | 7.5 - 4.5 | ||||
Otto Salin | 2022 | 154 | |||
Parker Bell | 2022 | 186 | |||
Riley Heidt | 2023 | 27 | |||
Ryan Ufko | 2021 | 87 | |||
Scott Ratzlaff | 2023 | 123 | |||
Simon Forsmark | 2022 | 88 | |||
Tucker Robertson | 2022 | 110 | |||
Tuomas Uronen | 2023 | 171 | |||
Ty Smilanic | 2020 | 57 | |||
Yaroslav Likhachyov | 2019 | 197 | |||
Zeb Forsfjall | 2023 | 140 |
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