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Full Scoreboard » |
Philadelphia Flyers 31-34-4, 66pts · 13th in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 13 | LW | 100.00 | 72 | 42 | 90 | 74 | 76 | 84 | 87 | 72 | 61 | 62 | 73 | 65 | 74 | 63 | 69 | 80 | 75 | 0 | 22 | 835,833$/1yrs | |||
![]() | 0 | C/RW | 98.50 | 70 | 35 | 89 | 73 | 76 | 89 | 90 | 72 | 81 | 75 | 69 | 84 | 71 | 87 | 92 | 42 | 75 | 0 | 36 | 4,500,000$/2yrs | |||
![]() | 21 | C/LW/RW | 99.00 | 74 | 39 | 76 | 67 | 80 | 82 | 84 | 65 | 78 | 62 | 63 | 79 | 64 | 68 | 66 | 76 | 75 | 0 | 26 | 1,900,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 37 | 92 | 74 | 73 | 81 | 82 | 72 | 56 | 68 | 70 | 62 | 76 | 70 | 71 | 72 | 75 | 0 | 28 | 1,900,000$/2yrs | |||
![]() | 20 | C/LW/RW | 98.75 | 78 | 44 | 78 | 74 | 73 | 82 | 90 | 72 | 82 | 70 | 69 | 63 | 72 | 69 | 71 | 49 | 75 | 0 | 28 | 4,000,000$/3yrs | |||
![]() | 17 | LW | 98.75 | 67 | 33 | 89 | 75 | 67 | 87 | 85 | 72 | 82 | 71 | 73 | 65 | 74 | 80 | 73 | 52 | 75 | 0 | 32 | 5,750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 69 | 39 | 78 | 63 | 75 | 83 | 80 | 62 | 70 | 61 | 59 | 65 | 62 | 79 | 77 | 42 | 75 | 0 | 35 | 775,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 62 | 36 | 95 | 75 | 73 | 86 | 88 | 74 | 77 | 76 | 73 | 64 | 76 | 67 | 69 | 54 | 75 | 0 | 27 | 3,500,000$/3yrs | |||
![]() | 0 | C | 100.00 | 75 | 44 | 89 | 65 | 90 | 79 | 88 | 64 | 62 | 61 | 63 | 80 | 64 | 66 | 69 | 47 | 75 | 0 | 26 | 1,350,000$/1yrs | |||
![]() | 63 | LW | 100.00 | 60 | 34 | 95 | 79 | 68 | 86 | 88 | 77 | 55 | 81 | 68 | 65 | 78 | 64 | 69 | 62 | 75 | 0 | 24 | 3,425,000$/2yrs | |||
![]() | 0 | C/RW | 99.25 | 71 | 40 | 88 | 73 | 87 | 86 | 85 | 72 | 77 | 74 | 69 | 81 | 73 | 68 | 71 | 53 | 75 | 0 | 28 | 3,000,000$/3yrs | |||
![]() | 0 | D | 99.00 | 64 | 35 | 94 | 76 | 75 | 92 | 90 | 67 | 30 | 76 | 56 | 86 | 52 | 87 | 74 | 50 | 75 | 0 | 33 | 4,250,000$/2yrs | |||
![]() | 78 | D | 100.00 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 80 | 75 | 0 | 24 | 870,000$/1yrs | |||
![]() | 36 | D | 100.00 | 64 | 39 | 80 | 63 | 73 | 90 | 88 | 62 | 30 | 66 | 58 | 61 | 52 | 65 | 67 | 42 | 75 | 0 | 25 | 875,000$/1yrs | |||
![]() | 50 | D | 100.00 | 67 | 44 | 76 | 71 | 74 | 92 | 88 | 73 | 30 | 80 | 69 | 75 | 57 | 67 | 69 | 68 | 75 | 0 | 26 | 6,000,000$/4yrs | |||
![]() | 57 | D | 100.00 | 60 | 39 | 94 | 63 | 82 | 89 | 87 | 61 | 30 | 73 | 58 | 86 | 50 | 79 | 73 | 26 | 75 | 0 | 33 | 3,000,000$/2yrs | |||
![]() | 0 | D | 99.00 | 77 | 35 | 83 | 65 | 76 | 91 | 89 | 63 | 30 | 77 | 60 | 86 | 52 | 76 | 72 | 38 | 75 | 0 | 31 | 5,150,000$/4yrs | |||
![]() | 37 | D | 99.00 | 71 | 39 | 72 | 63 | 76 | 77 | 83 | 59 | 30 | 57 | 55 | 66 | 48 | 68 | 70 | 48 | 75 | 0 | 28 | 950,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 44 | C | 99.26 | 82 | 37 | 95 | 71 | 69 | 87 | 89 | 69 | 86 | 73 | 65 | 87 | 68 | 80 | 74 | 38 | 75 | 0 | 32 | 5,000,000$/2yrs | |||
TEAM AVERAGE | 99.37 | 68 | 39 | 84 | 69 | 74 | 84 | 85 | 67 | 58 | 69 | 64 | 72 | 64 | 71 | 71 | 54 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 90 | 88 | 83 | 78 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 80 | 86 | 53 | 75 | 0 | 33 | 4,250,000$/2yrs |
![]() | 51 | 95.50 | 93 | 92 | 88 | 75 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 76 | 85 | 54 | 75 | 0 | 31 | 5,755,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 71 | 78 | 73 | 84 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 72 | 84 | 62 | 75 | 0 | 31 | 775,000$/1yrs |
TEAM AVERAGE | 98.33 | 85 | 86 | 81 | 79 | 84 | 83 | 85 | 84 | 83 | 85 | 84 | 76 | 85 | 56 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Hakstol | 86 | 88 | 87 | 85 | 84 | 78 | 64 | CAN | 56 | 2 | 3,500,000$ |
General Manager | Benoit Faille |
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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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mikael Backlund | 0 | C/RW | 68 | 32 | 29 | 61 | 5 | 22 | 0 | 81 | 223 | 69 | 140 | 14.35% | 27 | 20.54 | 8 | 12 | 20 | 237 | 0 | 0 | 0 | 139 | 5 | 2 | 54.82% | 695 | 0 | 0 | 0 | 0 | 0.87 | 0 | 2 | ||
2 | Nick Leddy | 0 | D | 67 | 13 | 42 | 55 | -12 | 14 | 0 | 48 | 133 | 29 | 92 | 9.77% | 130 | 25.32 | 7 | 12 | 19 | 265 | 1 | 0 | 1 | 189 | 1 | 3 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | ||
3 | Matias Maccelli | 63 | LW | 69 | 16 | 31 | 47 | 3 | 8 | 0 | 29 | 194 | 45 | 112 | 8.25% | 9 | 17.77 | 5 | 11 | 16 | 258 | 0 | 0 | 0 | 20 | 2 | 0 | 41.86% | 129 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | ||
4 | Nicolas Roy | 0 | C/RW | 67 | 23 | 23 | 46 | -10 | 27 | 5 | 73 | 194 | 48 | 124 | 11.86% | 13 | 17.02 | 2 | 5 | 7 | 161 | 0 | 1 | 1 | 61 | 6 | 1 | 52.07% | 1523 | 0 | 0 | 0 | 1 | 0.81 | 1 | 4 | ||
5 | Jaden Schwartz | 17 | LW | 69 | 16 | 29 | 45 | 1 | 8 | 0 | 42 | 185 | 50 | 142 | 8.65% | 11 | 18.02 | 4 | 9 | 13 | 243 | 0 | 0 | 0 | 64 | 1 | 1 | 51.43% | 105 | 0 | 0 | 1 | 0 | 0.72 | 1 | 1 | ||
6 | Dylan DeMelo | 0 | D | 67 | 11 | 34 | 45 | -9 | 70 | 0 | 137 | 99 | 39 | 65 | 11.11% | 104 | 24.51 | 5 | 14 | 19 | 268 | 0 | 0 | 0 | 149 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
7 | Tommy Novak | 0 | C/LW | 68 | 16 | 22 | 38 | -5 | 15 | 5 | 51 | 155 | 52 | 111 | 10.32% | 7 | 16.36 | 5 | 11 | 16 | 248 | 0 | 0 | 0 | 0 | 2 | 0 | 50.00% | 1386 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
8 | Trevor van Riemsdyk | 57 | D | 69 | 10 | 23 | 33 | -8 | 6 | 0 | 27 | 76 | 21 | 44 | 13.16% | 83 | 19.20 | 1 | 3 | 4 | 113 | 0 | 0 | 0 | 106 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
9 | Sean Durzi | 50 | D | 56 | 8 | 24 | 32 | 6 | 46 | 0 | 64 | 85 | 20 | 48 | 9.41% | 71 | 18.30 | 5 | 5 | 10 | 120 | 0 | 0 | 0 | 51 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
10 | Brett Howden | 21 | C/LW/RW | 69 | 9 | 21 | 30 | 7 | 54 | 0 | 106 | 124 | 27 | 103 | 7.26% | 18 | 14.15 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 109 | 0 | 1 | 51.76% | 170 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
11 | Jake Neighbours | 13 | LW | 69 | 14 | 13 | 27 | -7 | 8 | 0 | 47 | 139 | 29 | 71 | 10.07% | 5 | 10.69 | 6 | 5 | 11 | 215 | 0 | 0 | 0 | 16 | 0 | 0 | 55.10% | 49 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | ||
12 | Jean-Gabriel Pageau | 44 | C | 54 | 11 | 13 | 24 | -12 | 34 | 0 | 87 | 117 | 34 | 94 | 9.40% | 24 | 17.21 | 2 | 4 | 6 | 77 | 0 | 0 | 0 | 175 | 1 | 2 | 55.47% | 1280 | 0 | 0 | 0 | 0 | 0.52 | 1 | 4 | ||
13 | Ross Colton | 20 | C/LW/RW | 69 | 10 | 12 | 22 | -9 | 34 | 0 | 92 | 139 | 39 | 72 | 7.19% | 4 | 13.78 | 3 | 1 | 4 | 59 | 0 | 1 | 1 | 30 | 1 | 0 | 49.77% | 221 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
14 | Sonny Milano | 0 | LW/RW | 70 | 6 | 8 | 14 | -22 | 8 | 0 | 25 | 114 | 45 | 86 | 5.26% | 4 | 11.82 | 1 | 3 | 4 | 157 | 0 | 0 | 0 | 0 | 1 | 0 | 40.00% | 75 | 0 | 0 | 0 | 0 | 0.34 | 0 | 2 | ||
15 | Dysin Mayo | 37 | D | 69 | 5 | 7 | 12 | 9 | 64 | 0 | 104 | 30 | 12 | 26 | 16.67% | 59 | 16.21 | 1 | 1 | 2 | 143 | 0 | 0 | 0 | 106 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
16 | Morgan Barron | 0 | C | 69 | 3 | 4 | 7 | -14 | 38 | 0 | 59 | 66 | 22 | 60 | 4.55% | 16 | 14.04 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 227 | 1 | 0 | 37.63% | 194 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | ||
17 | Jake Christiansen | 36 | D | 25 | 1 | 5 | 6 | -1 | 8 | 0 | 20 | 7 | 4 | 6 | 14.29% | 24 | 14.88 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 51 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
18 | Emil Martinsen-Lilleberg | 78 | D | 24 | 1 | 2 | 3 | 0 | 6 | 0 | 18 | 3 | 1 | 3 | 33.33% | 7 | 7.84 | 0 | 0 | 0 | 8 | 0 | 1 | 1 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
19 | Riley Nash | 0 | C/RW | 16 | 1 | 0 | 1 | -6 | 0 | 0 | 9 | 6 | 2 | 2 | 16.67% | 2 | 6.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 62.50% | 16 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
Team Total or Average | 1134 | 206 | 342 | 548 | -84 | 470 | 10 | 1119 | 2089 | 588 | 1401 | 9.86% | 618 | 16.74 | 55 | 97 | 152 | 2586 | 1 | 3 | 4 | 1549 | 26 | 12 | 51.74% | 5843 | 0 | 0 | 1 | 1 | 0.58 | 3 | 13 |
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 | Jordan Binnington | Flyers | 63 | 28 | 28 | 4 | 0.909 | 2.91 | 3654 | 4 | 1 | 177 | 1943 | 0 | 3 | 2 | 1.000 | 13 | 60 | 7 | 4 | 4 | 3 |
2 | Petr Mrazek | Flyers | 49 | 27 | 16 | 2 | 0.892 | 3.52 | 2711 | 2 | 0 | 159 | 1471 | 0 | 0 | 0 | 0.538 | 13 | 46 | 20 | 1 | 0 | 1 |
Team Total or Average | 112 | 55 | 44 | 6 | 0.902 | 3.17 | 6365 | 6 | 1 | 336 | 3414 | 0 | 3 | 2 | 0.769 | 26 | 106 | 27 | 5 | 4 | 4 |
Projected Total Cap Hit | 74,841,551$ |
Projected Cap Space | 13,158,449$ |
Retains And Buyout Cap Hit | 2,220,245$ |
Salary Cap To Date | 61,896,112$ |
Players In Salary Cap | 26 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brett Howden | C/LW/RW | 26 | 1,900,000$ | 1,900,000$ | RFA | ||||||
Dylan DeMelo ![]() | D | 31 | 5,150,000$ | 5,150,000$ | 5,150,000$ | 5,150,000$ | 5,150,000$ | UFA | |||
Dysin Mayo | D | 28 | 950,000$ | 950,000$ | RFA | ||||||
Emil Martinsen-Lilleberg ![]() | D | 24 | 870,000$ | 870,000$ | RFA | ||||||
Jaden Schwartz ![]() | LW | 32 | 5,750,000$ | 5,750,000$ | UFA | ||||||
Jake Christiansen ![]() | D | 25 | 875,000$ | 875,000$ | RFA | ||||||
Jake Neighbours ![]() | LW/G | 22 | 835,833$ | 835,833$ | |||||||
Jean-Gabriel Pageau ![]() | C | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Jordan Binnington ![]() | D/G | 31 | 5,755,000$ | 5,755,000$ | RFA | ||||||
Matias Maccelli | LW | 24 | 3,425,000$ | 3,425,000$ | 3,425,000$ | RFA | |||||
Mikael Backlund ![]() | C/RW/G | 36 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Morgan Barron ![]() | C | 26 | 1,350,000$ | 1,350,000$ | RFA | ||||||
Nick Leddy ![]() | D/G | 33 | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||||
Nicolas Roy | C/RW | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||||
Oscar Dansk ![]() | LW/RW/G | 31 | 775,000$ | 775,000$ | RFA | ||||||
Petr Mrazek | D/G | 33 | 4,250,000$ | 4,250,000$ | 4,250,000$ | RFA | |||||
Riley Nash | C/RW | 35 | 775,000$ | 775,000$ | UFA | ||||||
Ross Colton | C/LW/RW | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
Sean Durzi | D | 26 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | RFA | |||
Sonny Milano | LW/RW | 28 | 1,900,000$ | 1,900,000$ | 1,900,000$ | ||||||
Tommy Novak | C/LW | 27 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Trevor van Riemsdyk | D | 33 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA |
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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 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 8 | 12 | -4 | 1 | 0.167 | 8 | 16 | 24 | 1 | 0 | 3 | 4 | 1 | 0 | 90 | 25 | 32 | 33 | 0 | 126 | 34 | 22 | 41 | 14 | 2 | 14.29% | 11 | 1 | 90.91% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 67 | 45 | 74 | 23 | 37 | 18 | 35.3% | 8.9% | 90.5% | 99.4 | Unlucky | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 10 | -8 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 46 | 18 | 13 | 15 | 0 | 67 | 28 | 18 | 31 | 6 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 44 | 30 | 49 | 15 | 25 | 12 | 20.0% | 4.3% | 85.1% | 89.4 | Unlucky | |
3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 82 | 31 | 29 | 22 | 0 | 60 | 17 | 14 | 41 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 47 | 32 | 49 | 14 | 23 | 11 | 28.6% | 3.7% | 90.0% | 93.7 | Unlucky | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 4 | 0 | 2 | 0 | 67 | 17 | 29 | 21 | 0 | 75 | 23 | 16 | 32 | 10 | 3 | 30.00% | 7 | 0 | 100.00% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 47 | 32 | 51 | 14 | 21 | 10 | 37.5% | 9.0% | 93.3% | 102.3 | LUCKY | |
5 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 27 | 7 | 14 | 5 | 1 | 32 | 16 | 12 | 14 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 20 | 11 | 27 | 9 | 15 | 7 | 33.3% | 7.4% | 90.6% | 98.0 | Unlucky | |
6 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 13 | -4 | 4 | 0.500 | 9 | 14 | 23 | 0 | 0 | 1 | 6 | 2 | 0 | 140 | 47 | 48 | 45 | 0 | 114 | 44 | 22 | 77 | 17 | 3 | 17.65% | 10 | 4 | 60.00% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 96 | 67 | 93 | 29 | 50 | 25 | 40.0% | 6.4% | 88.6% | 95.0 | Unlucky | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 1 | 3 | 2 | 0 | 64 | 16 | 21 | 27 | 0 | 73 | 11 | 20 | 42 | 5 | 4 | 80.00% | 9 | 3 | 66.67% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 43 | 28 | 49 | 15 | 27 | 12 | 25.0% | 9.4% | 87.7% | 97.0 | FUN | |
8 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 8 | 2 | 5 | 0.833 | 10 | 20 | 30 | 0 | 0 | 3 | 4 | 3 | 0 | 108 | 34 | 43 | 31 | 0 | 81 | 22 | 28 | 50 | 11 | 0 | 0.00% | 11 | 4 | 63.64% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 75 | 52 | 65 | 21 | 39 | 19 | 71.4% | 9.3% | 90.1% | 99.4 | FUN | |
9 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 2 | 1 | 4 | 1 | 62 | 17 | 21 | 21 | 3 | 75 | 15 | 18 | 36 | 7 | 2 | 28.57% | 9 | 3 | 66.67% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 44 | 30 | 52 | 14 | 25 | 11 | 66.7% | 12.9% | 92.0% | 104.9 | LUCKY | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 70 | 21 | 25 | 24 | 0 | 46 | 19 | 10 | 38 | 13 | 2 | 15.38% | 5 | 1 | 80.00% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 51 | 36 | 43 | 15 | 24 | 11 | 50.0% | 7.1% | 91.3% | 98.4 | DULL | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 1 | 4 | 2 | 0 | 37 | 5 | 18 | 14 | 0 | 24 | 4 | 0 | 16 | 7 | 3 | 42.86% | 0 | 0 | 0.00% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 26 | 18 | 20 | 7 | 13 | 7 | 66.7% | 18.9% | 91.7% | 110.6 | LUCKY | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 28 | 6 | 14 | 8 | 0 | 38 | 12 | 8 | 12 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 22 | 15 | 25 | 7 | 11 | 5 | 42.9% | 10.7% | 89.5% | 100.2 | FUN | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 57 | 18 | 17 | 22 | 0 | 73 | 17 | 18 | 26 | 9 | 1 | 11.11% | 8 | 2 | 75.00% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 45 | 29 | 48 | 15 | 26 | 12 | 44.4% | 8.8% | 90.4% | 99.2 | Unlucky | |
14 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 16 | -5 | 2 | 0.250 | 11 | 20 | 31 | 0 | 0 | 2 | 4 | 5 | 0 | 115 | 34 | 33 | 48 | 0 | 127 | 35 | 22 | 82 | 18 | 3 | 16.67% | 11 | 4 | 63.64% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 94 | 64 | 92 | 30 | 53 | 26 | 40.0% | 9.6% | 87.4% | 97.0 | FUN | |
15 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 8 | 14 | 0 | 0 | 2 | 1 | 2 | 2 | 35 | 4 | 10 | 15 | 8 | 44 | 14 | 14 | 22 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 22 | 15 | 28 | 7 | 13 | 6 | 66.7% | 17.1% | 88.6% | 105.8 | FUN | |
16 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 92 | 32 | 34 | 26 | 0 | 71 | 36 | 17 | 64 | 16 | 2 | 12.50% | 5 | 1 | 80.00% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 72 | 49 | 66 | 23 | 40 | 20 | 36.4% | 6.5% | 88.7% | 95.3 | Unlucky | |
17 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 3 | 1 | 3 | 2 | 73 | 30 | 20 | 19 | 4 | 73 | 22 | 14 | 41 | 17 | 6 | 35.29% | 7 | 2 | 71.43% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 45 | 30 | 50 | 16 | 26 | 12 | 37.5% | 12.3% | 90.4% | 102.7 | FUN | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 4 | 4 | 5 | 0 | 29 | 7 | 6 | 14 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 22 | 15 | 23 | 8 | 13 | 6 | 33.3% | 7.7% | 89.7% | 97.3 | Unlucky | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 3 | 1 | 3 | 0 | 69 | 20 | 24 | 25 | 0 | 54 | 20 | 12 | 39 | 8 | 4 | 50.00% | 6 | 1 | 83.33% | 1 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 48 | 33 | 45 | 14 | 26 | 13 | 42.9% | 10.1% | 90.7% | 100.9 | FUN | |
20 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.333 | 8 | 15 | 23 | 0 | 0 | 3 | 1 | 4 | 0 | 70 | 18 | 21 | 31 | 0 | 115 | 41 | 28 | 53 | 8 | 1 | 12.50% | 13 | 2 | 84.62% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 60 | 40 | 83 | 23 | 35 | 16 | 53.8% | 11.4% | 93.0% | 104.5 | LUCKY | |
21 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 4 | 0.667 | 13 | 25 | 38 | 0 | 0 | 4 | 3 | 6 | 0 | 111 | 28 | 35 | 48 | 0 | 108 | 33 | 32 | 57 | 18 | 5 | 27.78% | 11 | 0 | 100.00% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 66 | 45 | 76 | 23 | 37 | 17 | 53.3% | 11.7% | 93.5% | 105.2 | LUCKY | |
22 | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 8 | 6 | 2 | 5 | 0.833 | 8 | 13 | 21 | 0 | 0 | 1 | 2 | 4 | 1 | 90 | 28 | 21 | 36 | 7 | 84 | 28 | 26 | 54 | 14 | 1 | 7.14% | 11 | 1 | 90.91% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 73 | 50 | 73 | 24 | 39 | 20 | 58.3% | 8.9% | 92.9% | 101.7 | Unlucky | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 72 | 31 | 18 | 23 | 0 | 66 | 21 | 16 | 30 | 9 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 49 | 34 | 46 | 14 | 23 | 12 | 45.5% | 6.9% | 86.4% | 93.3 | Unlucky | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 59 | 19 | 19 | 21 | 0 | 53 | 11 | 19 | 32 | 9 | 1 | 11.11% | 7 | 1 | 85.71% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 42 | 27 | 48 | 16 | 29 | 14 | 57.1% | 8.5% | 92.5% | 100.9 | DULL | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 5 | 3 | 0 | 0 | 73 | 25 | 28 | 20 | 0 | 42 | 10 | 18 | 39 | 8 | 1 | 12.50% | 7 | 2 | 71.43% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 52 | 36 | 40 | 14 | 26 | 13 | 87.5% | 11.0% | 92.9% | 103.8 | LUCKY | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 16 | 24 | 1 | 0 | 4 | 2 | 2 | 0 | 70 | 30 | 19 | 21 | 0 | 79 | 23 | 14 | 38 | 7 | 1 | 14.29% | 6 | 0 | 100.00% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 45 | 31 | 49 | 14 | 24 | 12 | 50.0% | 11.4% | 91.1% | 102.6 | Unlucky | |
27 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 5 | 7 | 6 | 1.000 | 12 | 19 | 31 | 0 | 1 | 2 | 4 | 5 | 1 | 99 | 31 | 34 | 34 | 5 | 95 | 30 | 18 | 47 | 14 | 2 | 14.29% | 9 | 4 | 55.56% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 73 | 50 | 71 | 23 | 39 | 20 | 90.9% | 12.1% | 94.7% | 106.9 | LUCKY | |
28 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 4 | 0 | 2 | 0 | 78 | 26 | 28 | 24 | 0 | 92 | 29 | 24 | 52 | 13 | 3 | 23.08% | 12 | 3 | 75.00% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 67 | 45 | 74 | 23 | 38 | 17 | 33.3% | 7.7% | 90.2% | 97.9 | Unlucky | |
29 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 80 | 26 | 31 | 23 | 0 | 59 | 17 | 6 | 44 | 9 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 55 | 39 | 40 | 13 | 23 | 12 | 41.7% | 6.3% | 86.4% | 92.7 | Unlucky | |
30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 3 | 2 | 4 | 0 | 61 | 18 | 21 | 22 | 0 | 75 | 19 | 14 | 31 | 7 | 3 | 42.86% | 7 | 1 | 85.71% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 43 | 29 | 49 | 15 | 26 | 12 | 42.9% | 14.8% | 88.0% | 102.8 | FUN | |
31 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 3 | 2 | 2 | 1 | 62 | 23 | 14 | 23 | 5 | 72 | 16 | 20 | 39 | 2 | 0 | 0.00% | 10 | 0 | 100.00% | 1 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 41 | 26 | 57 | 17 | 26 | 12 | 72.7% | 12.9% | 95.8% | 108.7 | LUCKY | |
_Vs Division | 22 | 10 | 11 | 0 | 0 | 1 | 0 | 0 | 65 | 67 | -2 | 21 | 0.477 | 65 | 122 | 187 | 1 | 0 | 19 | 22 | 24 | 0 | 706 | 223 | 233 | 250 | 0 | 695 | 234 | 163 | 421 | 95 | 15 | 15.79% | 67 | 15 | 77.61% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 511 | 351 | 527 | 166 | 280 | 139 | 49.0% | 9.2% | 90.4% | 99.6 | FUN | |
_Vs Conference | 40 | 15 | 20 | 0 | 0 | 3 | 2 | 0 | 111 | 116 | -5 | 37 | 0.463 | 111 | 201 | 312 | 2 | 1 | 33 | 37 | 39 | 2 | 1245 | 393 | 414 | 433 | 12 | 1272 | 402 | 300 | 714 | 173 | 25 | 14.45% | 131 | 27 | 79.39% | 0 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 928 | 637 | 969 | 307 | 513 | 254 | 49.1% | 8.9% | 90.9% | 99.8 | Unlucky | |
_Since Last GM Reset | 69 | 24 | 34 | 0 | 3 | 4 | 4 | 0 | 209 | 211 | -2 | 66 | 0.478 | 209 | 377 | 586 | 2 | 1 | 66 | 61 | 75 | 8 | 2200 | 689 | 738 | 752 | 33 | 2222 | 674 | 526 | 1234 | 297 | 55 | 18.52% | 235 | 51 | 78.30% | 2 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 1609 | 1103 | 1672 | 529 | 886 | 436 | 49.0% | 9.5% | 90.5% | 100.0 | FUN | |
Total | 69 | 24 | 34 | 0 | 3 | 4 | 4 | 0 | 209 | 211 | -2 | 66 | 0.478 | 209 | 377 | 586 | 2 | 1 | 66 | 61 | 75 | 8 | 2200 | 689 | 738 | 752 | 33 | 2222 | 674 | 526 | 1234 | 297 | 55 | 18.52% | 235 | 51 | 78.30% | 2 | 1342 | 2527 | 53.11% | 1326 | 2579 | 51.42% | 567 | 1106 | 51.27% | 1609 | 1103 | 1672 | 529 | 886 | 436 | 49.0% | 9.5% | 90.5% | 100.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2527 |
Neutral Zone Start | 1106 |
Defensive Zone Start | 2579 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3235 |
Faceoffs Lost | 2977 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 20.7 | 20.31 |
3rd Period | 31.6 | 30.68 |
Overtime | 32.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 150 |
---|---|
PP Goal | 55 |
PK Goal | 2 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 14 | 17 |
Lost | 19 | 15 |
Overtime Lost | 3 | 1 |
PP Attempt | 297 |
---|---|
PP Goal | 55 |
PK Attempt | 235 |
PK Goal Against | 51 |
Home | |
---|---|
Shots For | 31.9 |
Shots Against | 32.2 |
Goals For | 3.0 |
Goals Against | 3.1 |
Hits | 17.9 |
Shots Blocked | 9.8 |
Pim | 7.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-11 | @ | Flyers5,Canucks1 | RECAP | |||||||||||
2024-10-12 | @ | Flyers3,Flames4 | RECAP | |||||||||||
2024-10-15 | @ | Flyers2,Oilers4 | RECAP | |||||||||||
2024-10-17 | @ | Flyers2,Kraken1 (SO) | RECAP | |||||||||||
2024-10-19 | @ | Canucks4,Flyers1 | RECAP | |||||||||||
2024-10-22 | @ | Capitals4,Flyers3 (OT) | RECAP | |||||||||||
2024-10-23 | @ | Flyers2,Capitals1 | RECAP | |||||||||||
2024-10-26 | @ | Wild2,Flyers4 | RECAP | |||||||||||
2024-10-27 | @ | Canadiens3,Flyers1 | RECAP | |||||||||||
2024-10-29 | @ | Flyers1,Bruins3 | RECAP | |||||||||||
2024-10-31 | @ | Blues5,Flyers4 | RECAP | |||||||||||
2024-11-02 | @ | Bruins5,Flyers4 (OT) | RECAP | |||||||||||
2024-11-05 | @ | Flyers2,Hurricanes1 | RECAP | |||||||||||
2024-11-07 | @ | Flyers2,Lightning4 | RECAP | |||||||||||
2024-11-09 | @ | Flyers3,Panthers1 | RECAP | |||||||||||
2024-11-11 | @ | Sharks4,Flyers3 | RECAP | |||||||||||
2024-11-14 | @ | Flyers5,Senators3 | RECAP | |||||||||||
2024-11-16 | @ | Sabres4,Flyers3 | RECAP | |||||||||||
2024-11-18 | @ | Avalanche3,Flyers1 | RECAP | |||||||||||
2024-11-20 | @ | Hurricanes5,Flyers3 | RECAP | |||||||||||
2024-11-23 | @ | Blackhawks5,Flyers6 (SO) | RECAP | |||||||||||
2024-11-25 | @ | Golden Knights5,Flyers4 | RECAP | |||||||||||
2024-11-27 | @ | Flyers2,Predators3 (OT) | RECAP | |||||||||||
2024-11-29 | @ | Rangers5,Flyers3 | RECAP | |||||||||||
2024-11-30 | @ | Flyers2,Blues4 | RECAP | |||||||||||
2024-12-05 | @ | Panthers4,Flyers3 (OT) | RECAP | |||||||||||
2024-12-07 | @ | Flyers3,Bruins4 | RECAP | |||||||||||
2024-12-08 | @ | Hockey Club4,Flyers2 | RECAP | |||||||||||
2024-12-10 | @ | Flyers4,Blue Jackets1 | RECAP | |||||||||||
2024-12-12 | @ | Red Wings3,Flyers4 (SO) | RECAP | |||||||||||
2024-12-14 | @ | Flyers4,Wild1 | RECAP | |||||||||||
2024-12-18 | @ | Flyers3,Red Wings0 | RECAP | |||||||||||
2024-12-19 | @ | Kings2,Flyers3 (OT) | RECAP | |||||||||||
2024-12-21 | @ | Blue Jackets4,Flyers3 | RECAP | |||||||||||
2024-12-23 | @ | Flyers1,Penguins2 | RECAP | |||||||||||
2024-12-28 | @ | Flyers3,Ducks2 | RECAP | |||||||||||
2024-12-29 | @ | Flyers6,Kings5 (OT) | RECAP | |||||||||||
2024-12-31 | @ | Flyers2,Sharks4 | RECAP | |||||||||||
2025-01-02 | @ | Flyers5,Golden Knights4 | RECAP | |||||||||||
2025-01-05 | @ | Flyers2,Maple Leafs3 | RECAP | |||||||||||
2025-01-07 | @ | Maple Leafs3,Flyers1 | RECAP | |||||||||||
2025-01-09 | @ | Stars2,Flyers7 | RECAP | |||||||||||
2025-01-11 | @ | Ducks4,Flyers5 (OT) | RECAP | |||||||||||
2025-01-13 | @ | Panthers1,Flyers2 (SO) | RECAP | |||||||||||
2025-01-14 | @ | Flyers6,Blue Jackets2 | RECAP | |||||||||||
2025-01-16 | @ | Flyers2,Islanders3 | RECAP | |||||||||||
2025-01-18 | @ | Flyers1,Devils4 | RECAP | |||||||||||
2025-01-21 | @ | Red Wings2,Flyers5 | RECAP | |||||||||||
2025-01-23 | @ | Flyers5,Rangers2 | RECAP | |||||||||||
2025-01-24 | @ | Flyers4,Islanders2 | RECAP | |||||||||||
2025-01-27 | @ | Devils5,Flyers3 | RECAP | |||||||||||
2025-01-29 | @ | Flyers4,Devils2 | RECAP | |||||||||||
2025-01-30 | @ | Islanders3,Flyers2 | RECAP | |||||||||||
2025-02-02 | @ | Flyers1,Avalanche7 | RECAP | |||||||||||
2025-02-04 | @ | Flyers3,Hockey Club5 | RECAP | |||||||||||
2025-02-06 | @ | Capitals3,Flyers5 | RECAP | |||||||||||
2025-02-08 | @ | Penguins3,Flyers5 | RECAP | |||||||||||
2025-02-22 | @ | Oilers1,Flyers5 | RECAP | |||||||||||
2025-02-25 | @ | Penguins2,Flyers3 | RECAP | |||||||||||
2025-02-27 | @ | Flyers0,Penguins6 | RECAP | |||||||||||
2025-03-01 | @ | Flyers4,Jets2 | RECAP | |||||||||||
2025-03-04 | @ | Flames3,Flyers2 | RECAP | |||||||||||
2025-03-06 | @ | Jets2,Flyers1 | RECAP | |||||||||||
2025-03-08 | @ | Kraken2,Flyers6 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | @ | Devils5,Flyers3 | RECAP | |||||||||||
2025-03-11 | @ | Senators1,Flyers0 | RECAP | |||||||||||
2025-03-13 | @ | Lightning1,Flyers3 | RECAP | |||||||||||
2025-03-15 | @ | Hurricanes2,Flyers1 | RECAP | |||||||||||
2025-03-17 | @ | Flyers1,Lightning4 | RECAP | |||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-23 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-27 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-03-31 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-09 | @ | |||||||||||||
2025-04-12 | @ | |||||||||||||
2025-04-13 | @ | |||||||||||||
2025-04-15 | @ | |||||||||||||
2025-04-17 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
71,360,833$ | 2,220,245$ | 74,841,551$ | 13,158,449$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Wells Fargo Center | |
City | Philadelphia | ||
Capacity | 19519 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5519 | 3000 | 4000 | 1000 |
Ticket Price | 140$ | 112$ | 75$ | 55$ | 235$ |
Attendance | 215669 | 196233 | 108000 | 142734 | 36000 |
Attendance PCT | 99.85% | 98.77% | 100.00% | 99.12% | 100.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
5 | 19407 - 99.42% | 2,659,102$ | 95,727,658$ | 19519 | 150 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
71,360,833$ | 67,810,832$ | 0$ | 2,220,245$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
67,574,936$ | 345,974$ | 61,896,112$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
13,295,508$ | 31 | 381,943$ | 11,840,233$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
12,144,073$ | 74,841,551$ | 342,296,705$ | 344,209,907$ |
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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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
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 |
---|---|---|---|---|---|
Aidan Thompson | 2023 | 125 | |||
Artur Cholach | 2021 | 209 | |||
Artyom Shchuchinov | 2024 | 160 | |||
Brent Johnson | 2021 | 78 | |||
Cam Squires | 2023 | 124 | |||
Carson Bjarnason | 2023 | 38 | ELC 2024-25 | Link | |
Carter Yakemchuk | 2024 | 12 | ELC 2024-25 | Link | |
Filip Nordberg | 2022 | 126 | |||
Gabe Perreault | 2023 | 10 | |||
Hiroki Gojsic | 2024 | 88 | |||
Hugo Laring | 2024 | 204 | |||
Jake Boltmann | 2020 | 117 | |||
Janne Naukkarinen | 2024 | 195 | |||
Jayson Shaugabay | 2023 | 129 | |||
Jesse Kiiskinen | 2023 | 72 | |||
Juha Jatkola | 2023 | 144 | |||
Kaden Shahan | 2024 | 218 | |||
Kalem Parker | 2023 | 137 | |||
Kenny Connors | 2023 | 182 | |||
Kevin He | 2024 | 105 | |||
Markus Loponen | 2024 | 145 | |||
Matthew Van Blaricom | 2024 | 131 | |||
Matvei Shuravin | 2024 | 60 | |||
Max Lundgren | 2023 | 154 | |||
Maxim Beryozkin | 2020 | 210 | |||
Michael La Starza | 2022 | 147 | |||
Miko Matikka | 2022 | 104 | |||
Nate Misskey | 2024 | 104 | |||
Quinton Burns | 2023 | 106 | |||
Riley Patterson | 2024 | 108 | |||
Ryan Chesley | 2022 | 30 | |||
Samu Salminen | 2021 | 62 | |||
Stephen Peck | 2023 | 202 | |||
Tarin Smith | 2024 | 76 | |||
Teodor Munther | 2024 | 220 | |||
Tory Pitner | 2024 | 92 | |||
William Von Barnekow | 2021 | 177 |
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