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Full Scoreboard »» |
Philadelphie Flyers 12-6-4, 28pts · 3rd in Conference Est |
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 | 73 | 43 | 93 | 78 | 67 | 70 | 90 | 77 | 54 | 80 | 70 | 61 | 63 | 57 | 58 | 73 | 50 | 0 | 21 | 863,333$/2yrs | |||
![]() | 0 | C | 100.00 | 69 | 43 | 92 | 87 | 77 | 85 | 92 | 91 | 98 | 80 | 92 | 75 | 61 | 76 | 76 | 85 | 50 | 0 | 27 | 5,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 76 | 43 | 83 | 86 | 66 | 84 | 94 | 93 | 44 | 82 | 91 | 63 | 41 | 69 | 71 | 84 | 50 | 0 | 27 | 6,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 57 | 39 | 90 | 92 | 59 | 81 | 98 | 88 | 25 | 88 | 77 | 63 | 53 | 75 | 76 | 78 | 50 | 0 | 29 | 9,750,000$/7yrs | |||
![]() | 0 | C/LW | 100.00 | 76 | 44 | 84 | 79 | 76 | 68 | 95 | 61 | 92 | 62 | 62 | 81 | 61 | 82 | 87 | 69 | 50 | 0 | 33 | 3,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 42 | 98 | 88 | 74 | 75 | 67 | 69 | 31 | 76 | 79 | 73 | 25 | 62 | 63 | 77 | 50 | 0 | 27 | 4,750,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 40 | 97 | 87 | 63 | 84 | 81 | 85 | 61 | 90 | 95 | 64 | 63 | 64 | 64 | 85 | 50 | 0 | 21 | 8,000,000$/8yrs | |||
![]() | 0 | C | 100.00 | 75 | 54 | 78 | 84 | 74 | 78 | 98 | 77 | 96 | 81 | 73 | 77 | 53 | 71 | 73 | 77 | 50 | 0 | 29 | 5,500,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 99 | 96 | 74 | 75 | 82 | 61 | 93 | 61 | 35 | 62 | 60 | 69 | 25 | 63 | 64 | 67 | 50 | 0 | 25 | 1,400,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 42 | 94 | 80 | 75 | 74 | 92 | 76 | 44 | 70 | 78 | 75 | 35 | 79 | 84 | 76 | 50 | 0 | 29 | 4,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 90 | 45 | 93 | 84 | 65 | 77 | 91 | 78 | 98 | 79 | 71 | 83 | 25 | 74 | 77 | 79 | 50 | 0 | 29 | 5,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 99 | 99 | 62 | 81 | 80 | 67 | 96 | 61 | 39 | 63 | 58 | 80 | 25 | 61 | 62 | 69 | 50 | 0 | 25 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 44 | 89 | 72 | 74 | 80 | 88 | 65 | 25 | 64 | 47 | 94 | 25 | 70 | 72 | 67 | 50 | 0 | 28 | 1,250,000$/4yrs | |||
![]() | 0 | D | 100.00 | 82 | 45 | 90 | 78 | 78 | 80 | 96 | 59 | 25 | 53 | 47 | 91 | 25 | 77 | 79 | 65 | 50 | 0 | 28 | 3,250,000$/3yrs | |||
![]() | 0 | D | 100.00 | 76 | 44 | 82 | 84 | 78 | 87 | 65 | 85 | 25 | 72 | 60 | 77 | 63 | 68 | 68 | 72 | 50 | 0 | 24 | 4,600,000$/3yrs | |||
![]() | 0 | D | 100.00 | 86 | 45 | 84 | 77 | 69 | 84 | 84 | 60 | 25 | 54 | 48 | 87 | 25 | 62 | 63 | 65 | 50 | 0 | 23 | 925,000$/1yrs | |||
![]() | 0 | D | 99.00 | 88 | 56 | 84 | 84 | 73 | 82 | 98 | 68 | 25 | 65 | 48 | 81 | 25 | 67 | 68 | 68 | 50 | 0 | 28 | 3,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 87 | 46 | 87 | 86 | 83 | 78 | 87 | 65 | 25 | 57 | 48 | 88 | 75 | 75 | 75 | 66 | 50 | 0 | 27 | 5,100,000$/5yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 84 | 44 | 86 | 63 | 66 | 56 | 89 | 65 | 33 | 62 | 74 | 61 | 25 | 56 | 56 | 70 | 50 | 0 | 25 | 750,000$/1yrs | |||
TEAM AVERAGE | 99.95 | 78 | 50 | 86 | 81 | 73 | 76 | 89 | 73 | 47 | 71 | 67 | 76 | 42 | 69 | 70 | 73 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 85 | 95 | 91 | 63 | 83 | 88 | 85 | 86 | 87 | 86 | 94 | 65 | 66 | 86 | 50 | 0 | 27 | 5,000,000$/3yrs |
![]() | 0 | 99.00 | 73 | 59 | 59 | 71 | 79 | 67 | 84 | 71 | 79 | 73 | 59 | 60 | 60 | 73 | 50 | 0 | 30 | 1,000,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 60 | 58 | 56 | 83 | 65 | 54 | 69 | 61 | 65 | 60 | 75 | 46 | 46 | 62 | 50 | 0 | 31 | 750,000$/1yrs |
TEAM AVERAGE | 99.67 | 73 | 71 | 69 | 72 | 76 | 70 | 79 | 73 | 77 | 73 | 76 | 57 | 57 | 74 | 50 | 0 |
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 | 100.00 | 75 | 73 | 81 | 67 | 73 | 74 | 78 | 62 | 78 | 58 | 61 | 64 | 58 | 45 | 45 | 64 | 60 | 0 | 22 | 822,500$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 99 | 64 | 67 | 67 | 59 | 80 | 61 | 52 | 63 | 62 | 78 | 25 | 51 | 51 | 67 | 60 | 0 | 23 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 44 | 83 | 79 | 81 | 67 | 77 | 70 | 48 | 78 | 57 | 65 | 75 | 56 | 57 | 67 | 60 | 0 | 20 | 894,167$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 40 | 89 | 81 | 63 | 69 | 77 | 87 | 25 | 69 | 48 | 64 | 25 | 54 | 55 | 64 | 60 | 0 | 22 | 795,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 44 | 66 | 67 | 76 | 75 | 81 | 76 | 25 | 58 | 50 | 75 | 25 | 47 | 47 | 63 | 60 | 0 | 24 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 45 | 95 | 65 | 80 | 65 | 82 | 66 | 25 | 45 | 53 | 65 | 25 | 45 | 45 | 61 | 60 | 0 | 21 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 71 | 56 | 67 | 71 | 62 | 66 | 48 | 25 | 39 | 42 | 57 | 40 | 45 | 45 | 51 | 60 | 0 | 22 | 905,000$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 77 | 78 | 69 | 77 | 58 | 61 | 48 | 25 | 40 | 41 | 62 | 39 | 44 | 44 | 53 | 60 | 0 | 21 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 77 | 44 | 83 | 72 | 70 | 67 | 87 | 66 | 25 | 55 | 49 | 69 | 25 | 56 | 56 | 62 | 60 | 0 | 23 | 825,000$/2yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 71 | 61 | 59 | 86 | 78 | 64 | 99 | 72 | 78 | 71 | 90 | 46 | 46 | 74 | 60 | 0 | 22 | 850,833$/2yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Tim Gaudreau |
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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 | Bo Horvat | 0 | C | 22 | 8 | 15 | 23 | 4 | 2 | 0 | 26 | 69 | 32 | 51 | 11.59% | 7 | 20.44 | 3 | 4 | 7 | 54 | 1 | 0 | 1 | 19 | 1 | 2 | 56.45% | 519 | 16 | 9 | 0 | 0 | 1.02 | 1 | 6 | ||
2 | Jake Guentzel | 0 | LW/RW | 22 | 6 | 12 | 18 | 4 | 12 | 0 | 23 | 93 | 21 | 49 | 6.45% | 10 | 17.77 | 1 | 5 | 6 | 58 | 0 | 1 | 1 | 6 | 0 | 1 | 37.50% | 24 | 25 | 7 | 0 | 0 | 0.92 | 0 | 0 | ||
3 | Johnny Gaudreau | 0 | LW | 22 | 10 | 8 | 18 | 0 | 4 | 0 | 15 | 74 | 18 | 47 | 13.51% | 6 | 19.25 | 4 | 4 | 8 | 54 | 0 | 0 | 0 | 0 | 2 | 0 | 26.32% | 19 | 19 | 10 | 0 | 0 | 0.85 | 0 | 0 | ||
4 | Brandon Saad | 0 | LW/RW | 22 | 4 | 10 | 14 | 3 | 7 | 5 | 17 | 62 | 20 | 48 | 6.45% | 7 | 14.07 | 0 | 1 | 1 | 48 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 10 | 13 | 2 | 0 | 0 | 0.90 | 0 | 0 | ||
5 | Philip Tomasino | 0 | LW/RW | 22 | 4 | 7 | 11 | 2 | 0 | 0 | 23 | 30 | 10 | 13 | 13.33% | 10 | 16.09 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 24 | 3 | 0 | 29.41% | 17 | 11 | 5 | 0 | 0 | 0.62 | 1 | 6 | ||
6 | Ilya Mikheyev | 0 | LW/RW | 22 | 8 | 3 | 11 | 2 | 0 | 0 | 11 | 46 | 9 | 28 | 17.39% | 7 | 12.49 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 2 | 2 | 14.29% | 7 | 16 | 3 | 0 | 0 | 0.80 | 0 | 0 | ||
7 | Jakob Chychrun | 0 | D | 22 | 2 | 7 | 9 | -1 | 13 | 5 | 42 | 34 | 11 | 11 | 5.88% | 29 | 22.75 | 1 | 2 | 3 | 61 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 6 | 25 | 0 | 0 | 0.36 | 0 | 0 | ||
8 | MacKenzie Weegar | 0 | D | 22 | 2 | 6 | 8 | 2 | 21 | 5 | 59 | 36 | 16 | 18 | 5.56% | 30 | 27.03 | 1 | 4 | 5 | 61 | 0 | 0 | 0 | 49 | 0 | 0 | 0.00% | 0 | 6 | 29 | 0 | 0 | 0.27 | 0 | 0 | ||
9 | Lars Eller | 0 | C/LW | 22 | 2 | 6 | 8 | 3 | 18 | 0 | 30 | 24 | 12 | 14 | 8.33% | 11 | 15.13 | 0 | 0 | 0 | 5 | 1 | 1 | 2 | 47 | 1 | 0 | 57.63% | 236 | 6 | 5 | 0 | 0 | 0.48 | 0 | 0 | ||
10 | Jack Hughes | 0 | C/LW | 22 | 3 | 5 | 8 | 1 | 0 | 0 | 15 | 67 | 18 | 48 | 4.48% | 7 | 18.82 | 2 | 0 | 2 | 44 | 0 | 0 | 0 | 2 | 0 | 0 | 34.62% | 26 | 23 | 2 | 0 | 0 | 0.39 | 1 | 6 | ||
11 | Phillip Danault | 0 | C | 22 | 4 | 3 | 7 | 2 | 8 | 0 | 53 | 63 | 15 | 27 | 6.35% | 13 | 17.25 | 0 | 1 | 1 | 48 | 0 | 0 | 0 | 21 | 0 | 0 | 55.31% | 320 | 13 | 3 | 0 | 0 | 0.37 | 0 | 0 | ||
12 | Rasmus Ristolainen | 0 | D | 22 | 0 | 6 | 6 | 1 | 6 | 0 | 36 | 18 | 12 | 11 | 0.00% | 30 | 20.71 | 0 | 1 | 1 | 44 | 0 | 1 | 1 | 13 | 0 | 0 | 0.00% | 0 | 4 | 10 | 0 | 0 | 0.26 | 1 | 1 | ||
13 | Jean-Gabriel Pageau | 0 | C | 22 | 3 | 3 | 6 | -5 | 0 | 0 | 7 | 31 | 7 | 25 | 9.68% | 4 | 10.50 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 59 | 0 | 0 | 52.87% | 157 | 10 | 1 | 0 | 0 | 0.52 | 0 | 0 | ||
14 | Matthew Benning | 0 | D | 22 | 0 | 3 | 3 | 1 | 6 | 0 | 22 | 14 | 8 | 6 | 0.00% | 26 | 20.47 | 0 | 0 | 0 | 45 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 3 | 14 | 0 | 0 | 0.13 | 0 | 0 | ||
15 | Cody Ceci | 0 | D | 22 | 1 | 2 | 3 | -2 | 2 | 0 | 18 | 13 | 6 | 8 | 7.69% | 23 | 15.96 | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 60 | 0 | 0 | 0.00% | 0 | 2 | 18 | 0 | 0 | 0.17 | 0 | 0 | ||
16 | Tanner Jeannot | 0 | LW/RW | 22 | 0 | 2 | 2 | -7 | 18 | 10 | 24 | 21 | 5 | 12 | 0.00% | 6 | 8.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 1 | 6 | 3 | 0 | 0 | 0.21 | 0 | 0 | ||
17 | Michael Anderson | 0 | D | 22 | 0 | 1 | 1 | -1 | 10 | 0 | 24 | 8 | 9 | 2 | 0.00% | 20 | 14.43 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 1 | 9 | 0 | 0 | 0.06 | 0 | 0 | ||
18 | Keegan Kolesar | 0 | RW | 22 | 1 | 0 | 1 | -6 | 29 | 15 | 19 | 13 | 3 | 8 | 7.69% | 4 | 7.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 2 | 1 | 2 | 0 | 0 | 0.12 | 0 | 0 | ||
Team Total or Average | 396 | 58 | 99 | 157 | 3 | 156 | 40 | 464 | 716 | 232 | 426 | 8.10% | 250 | 16.63 | 12 | 22 | 34 | 543 | 3 | 5 | 8 | 405 | 10 | 5 | 54.11% | 1338 | 181 | 157 | 0 | 0 | 0.48 | 4 | 19 |
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 | Juuse Saros | 16 | 9 | 4 | 3 | 0.925 | 2.26 | 955 | 0 | 0 | 36 | 482 | 231 | 3 | 0 | 0.625 | 8 | 16 | 6 | 0 | 4 | 4 | |
2 | Scott Wedgewood | 7 | 3 | 2 | 1 | 0.907 | 2.76 | 392 | 0 | 0 | 18 | 194 | 100 | 0 | 0 | 0.778 | 9 | 6 | 16 | 1 | 0 | 0 | |
Team Total or Average | 23 | 12 | 6 | 4 | 0.920 | 2.40 | 1348 | 0 | 0 | 54 | 676 | 331 | 3 | 0 | 0.706 | 17 | 22 | 22 | 1 | 4 | 4 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 2 | 0 | 65 | 16 | 21 | 28 | 0 | 62 | 39 | 13 | 39 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 43 | 27 | 41 | 17 | 34 | 17 | 83.3% | 7.7% | 96.8% | 104.5 | DULL | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 0 | 2 | 5 | 0 | 71 | 12 | 17 | 42 | 0 | 65 | 22 | 12 | 31 | 7 | 0 | 0.00% | 6 | 1 | 83.33% | 1 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 45 | 27 | 41 | 17 | 32 | 17 | 58.3% | 9.9% | 90.8% | 100.6 | FUN | |
3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 0 | 1 | 35 | 11 | 15 | 8 | 1 | 29 | 10 | 2 | 20 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 23 | 14 | 18 | 9 | 18 | 8 | 66.7% | 5.7% | 96.6% | 102.3 | DULL | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 9 | 4 | 14 | 0 | 29 | 11 | 0 | 18 | 7 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 23 | 14 | 19 | 8 | 16 | 9 | 25.0% | 3.7% | 89.7% | 93.4 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 8 | 8 | 8 | 0 | 28 | 3 | 10 | 23 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 21 | 11 | 18 | 9 | 19 | 9 | 33.3% | 4.2% | 89.3% | 93.5 | Unlucky | |
6 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 1 | 2 | 3 | 1 | 63 | 18 | 27 | 17 | 1 | 69 | 16 | 19 | 46 | 5 | 3 | 60.00% | 7 | 0 | 100.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 40 | 22 | 43 | 19 | 36 | 17 | 50.0% | 11.1% | 94.2% | 105.3 | LUCKY | |
7 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 0 | 3 | 36 | 15 | 15 | 6 | 3 | 29 | 10 | 19 | 20 | 7 | 3 | 42.86% | 2 | 0 | 100.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 24 | 14 | 21 | 10 | 19 | 9 | 33.3% | 13.9% | 86.2% | 100.1 | FUN | |
8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 30 | 10 | 12 | 8 | 3 | 30 | 6 | 5 | 23 | 3 | 1 | 33.33% | 0 | 0 | 0.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 22 | 12 | 22 | 9 | 20 | 10 | 0.0% | 3.3% | 93.3% | 96.7 | DULL | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 1 | 2 | 5 | 0 | 70 | 22 | 24 | 24 | 0 | 68 | 24 | 8 | 33 | 7 | 1 | 14.29% | 4 | 0 | 100.00% | 1 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 39 | 22 | 45 | 18 | 35 | 17 | 70.0% | 11.4% | 95.6% | 107.0 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 23 | 13 | 4 | 6 | 0 | 13 | 9 | 2 | 32 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 22 | 12 | 19 | 9 | 18 | 9 | 66.7% | 13.0% | 92.3% | 105.4 | LUCKY | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 31 | 11 | 12 | 7 | 4 | 25 | 12 | 6 | 15 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 25 | 15 | 20 | 9 | 18 | 9 | 42.9% | 9.7% | 84.0% | 93.7 | FUN | |
12 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 1 | 2 | 1 | 74 | 21 | 27 | 26 | 4 | 67 | 25 | 19 | 53 | 2 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 44 | 25 | 43 | 19 | 36 | 18 | 50.0% | 6.8% | 91.0% | 97.8 | Unlucky | |
13 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 9 | -1 | 3 | 0.500 | 8 | 16 | 24 | 0 | 0 | 0 | 6 | 2 | 0 | 111 | 36 | 44 | 31 | 3 | 89 | 35 | 22 | 70 | 10 | 3 | 30.00% | 11 | 4 | 63.64% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 70 | 42 | 61 | 26 | 52 | 27 | 50.0% | 7.2% | 89.9% | 97.1 | Unlucky | |
14 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 10 | -6 | 1 | 0.250 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 56 | 25 | 13 | 18 | 3 | 73 | 28 | 19 | 41 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 46 | 27 | 43 | 18 | 35 | 16 | 33.3% | 7.1% | 86.3% | 93.4 | Unlucky | |
_Vs Division | 8 | 4 | 2 | 0 | 0 | 0 | 0 | 2 | 24 | 20 | 4 | 10 | 0.625 | 24 | 43 | 67 | 0 | 0 | 1 | 11 | 12 | 0 | 282 | 80 | 97 | 105 | 6 | 252 | 87 | 47 | 157 | 27 | 5 | 18.52% | 21 | 5 | 76.19% | 2 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 178 | 105 | 170 | 72 | 141 | 72 | 55.9% | 8.5% | 92.1% | 100.6 | DULL | |
_Vs Conference | 11 | 5 | 2 | 0 | 1 | 0 | 0 | 3 | 34 | 28 | 6 | 15 | 0.682 | 34 | 59 | 93 | 0 | 0 | 3 | 14 | 16 | 1 | 376 | 109 | 136 | 129 | 11 | 346 | 115 | 72 | 218 | 37 | 8 | 21.62% | 31 | 5 | 83.87% | 3 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 243 | 142 | 235 | 100 | 196 | 99 | 53.1% | 9.0% | 91.9% | 101.0 | LUCKY | |
_Since Last GM Reset | 22 | 8 | 6 | 0 | 2 | 0 | 2 | 4 | 60 | 58 | 2 | 28 | 0.636 | 60 | 99 | 159 | 0 | 0 | 12 | 22 | 22 | 6 | 716 | 227 | 243 | 243 | 22 | 676 | 250 | 156 | 464 | 65 | 12 | 18.46% | 58 | 10 | 82.76% | 3 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 493 | 289 | 460 | 202 | 396 | 199 | 50.0% | 8.4% | 91.4% | 99.8 | DULL | |
Total | 22 | 8 | 6 | 0 | 2 | 0 | 2 | 4 | 60 | 58 | 2 | 28 | 0.636 | 60 | 99 | 159 | 0 | 0 | 12 | 22 | 22 | 6 | 716 | 227 | 243 | 243 | 22 | 676 | 250 | 156 | 464 | 65 | 12 | 18.46% | 58 | 10 | 82.76% | 3 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 493 | 289 | 460 | 202 | 396 | 199 | 50.0% | 8.4% | 91.4% | 99.8 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 510 |
Neutral Zone Start | 312 |
Defensive Zone Start | 500 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 724 |
Faceoffs Lost | 598 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 21.4 | 20.31 |
3rd Period | 32.4 | 30.68 |
Overtime | 33.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 45 |
---|---|
PP Goal | 12 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 5 |
Lost | 2 | 4 |
Overtime Lost | 2 | 2 |
PP Attempt | 65 |
---|---|
PP Goal | 12 |
PK Attempt | 58 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 32.5 |
Shots Against | 30.7 |
Goals For | 2.7 |
Goals Against | 2.6 |
Hits | 21.1 |
Shots Blocked | 11.4 |
Pim | 7.1 |
Projected Total Cap Hit | 81,438,333$ |
Projected Cap Space | 1,061,667$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 21,207,900$ |
Players In Salary Cap | 22 |
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 |
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Anthony Richard ![]() | LW/RW | 25 | 750,000$ | 750,000$ | |||||||
Bo Horvat ![]() | C | 27 | 5,500,000$ | 5,500,000$ | |||||||
Brandon Saad ![]() | LW/RW | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||
Cody Ceci ![]() | D | 28 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | |||||
Ilya Mikheyev ![]() | LW/RW | 27 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | ||||
Jack Hughes ![]() | C/LW | 21 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ |
Jake Guentzel ![]() | LW/RW | 27 | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||||
Jakob Chychrun ![]() | D | 24 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | |||||
Jean-Gabriel Pageau ![]() | C | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||
Johnny Gaudreau ![]() | LW | 29 | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | |
Juuse Saros ![]() | G | 27 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Keegan Kolesar ![]() | RW | 25 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | |||||
Lars Eller ![]() | C/LW | 33 | 3,500,000$ | 3,500,000$ | |||||||
MacKenzie Weegar ![]() | D | 28 | 3,250,000$ | 3,250,000$ | |||||||
Magnus Hellberg ![]() | G | 31 | 750,000$ | 750,000$ | |||||||
Matthew Benning ![]() | D | 28 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||
Michael Anderson ![]() | D | 23 | 925,000$ | 925,000$ | |||||||
Philip Tomasino ![]() | LW/RW | 21 | 863,333$ | 863,333$ | 863,333$ | ||||||
Phillip Danault ![]() | C | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||
Rasmus Ristolainen ![]() | D | 27 | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | |||
Scott Wedgewood ![]() | G | 30 | 1,000,000$ | 1,000,000$ | |||||||
Tanner Jeannot ![]() | LW/RW | 25 | 800,000$ | 800,000$ |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 2 | 0 | 65 | 16 | 21 | 28 | 0 | 62 | 39 | 13 | 39 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 43 | 27 | 41 | 17 | 34 | 17 | 83.3% | 7.7% | 96.8% | 104.5 | DULL | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 0 | 2 | 5 | 0 | 71 | 12 | 17 | 42 | 0 | 65 | 22 | 12 | 31 | 7 | 0 | 0.00% | 6 | 1 | 83.33% | 1 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 45 | 27 | 41 | 17 | 32 | 17 | 58.3% | 9.9% | 90.8% | 100.6 | FUN | |
3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 0 | 1 | 35 | 11 | 15 | 8 | 1 | 29 | 10 | 2 | 20 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 23 | 14 | 18 | 9 | 18 | 8 | 66.7% | 5.7% | 96.6% | 102.3 | DULL | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 9 | 4 | 14 | 0 | 29 | 11 | 0 | 18 | 7 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 23 | 14 | 19 | 8 | 16 | 9 | 25.0% | 3.7% | 89.7% | 93.4 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 8 | 8 | 8 | 0 | 28 | 3 | 10 | 23 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 21 | 11 | 18 | 9 | 19 | 9 | 33.3% | 4.2% | 89.3% | 93.5 | Unlucky | |
6 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 1 | 2 | 3 | 1 | 63 | 18 | 27 | 17 | 1 | 69 | 16 | 19 | 46 | 5 | 3 | 60.00% | 7 | 0 | 100.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 40 | 22 | 43 | 19 | 36 | 17 | 50.0% | 11.1% | 94.2% | 105.3 | LUCKY | |
7 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 0 | 3 | 36 | 15 | 15 | 6 | 3 | 29 | 10 | 19 | 20 | 7 | 3 | 42.86% | 2 | 0 | 100.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 24 | 14 | 21 | 10 | 19 | 9 | 33.3% | 13.9% | 86.2% | 100.1 | FUN | |
8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 30 | 10 | 12 | 8 | 3 | 30 | 6 | 5 | 23 | 3 | 1 | 33.33% | 0 | 0 | 0.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 22 | 12 | 22 | 9 | 20 | 10 | 0.0% | 3.3% | 93.3% | 96.7 | DULL | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 1 | 2 | 5 | 0 | 70 | 22 | 24 | 24 | 0 | 68 | 24 | 8 | 33 | 7 | 1 | 14.29% | 4 | 0 | 100.00% | 1 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 39 | 22 | 45 | 18 | 35 | 17 | 70.0% | 11.4% | 95.6% | 107.0 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 23 | 13 | 4 | 6 | 0 | 13 | 9 | 2 | 32 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 22 | 12 | 19 | 9 | 18 | 9 | 66.7% | 13.0% | 92.3% | 105.4 | LUCKY | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 31 | 11 | 12 | 7 | 4 | 25 | 12 | 6 | 15 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 25 | 15 | 20 | 9 | 18 | 9 | 42.9% | 9.7% | 84.0% | 93.7 | FUN | |
12 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 1 | 2 | 1 | 74 | 21 | 27 | 26 | 4 | 67 | 25 | 19 | 53 | 2 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 44 | 25 | 43 | 19 | 36 | 18 | 50.0% | 6.8% | 91.0% | 97.8 | Unlucky | |
13 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 9 | -1 | 3 | 0.500 | 8 | 16 | 24 | 0 | 0 | 0 | 6 | 2 | 0 | 111 | 36 | 44 | 31 | 3 | 89 | 35 | 22 | 70 | 10 | 3 | 30.00% | 11 | 4 | 63.64% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 70 | 42 | 61 | 26 | 52 | 27 | 50.0% | 7.2% | 89.9% | 97.1 | Unlucky | |
14 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 10 | -6 | 1 | 0.250 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 56 | 25 | 13 | 18 | 3 | 73 | 28 | 19 | 41 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 46 | 27 | 43 | 18 | 35 | 16 | 33.3% | 7.1% | 86.3% | 93.4 | Unlucky | |
_Vs Division | 8 | 4 | 2 | 0 | 0 | 0 | 0 | 2 | 24 | 20 | 4 | 10 | 0.625 | 24 | 43 | 67 | 0 | 0 | 1 | 11 | 12 | 0 | 282 | 80 | 97 | 105 | 6 | 252 | 87 | 47 | 157 | 27 | 5 | 18.52% | 21 | 5 | 76.19% | 2 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 178 | 105 | 170 | 72 | 141 | 72 | 55.9% | 8.5% | 92.1% | 100.6 | DULL | |
_Vs Conference | 11 | 5 | 2 | 0 | 1 | 0 | 0 | 3 | 34 | 28 | 6 | 15 | 0.682 | 34 | 59 | 93 | 0 | 0 | 3 | 14 | 16 | 1 | 376 | 109 | 136 | 129 | 11 | 346 | 115 | 72 | 218 | 37 | 8 | 21.62% | 31 | 5 | 83.87% | 3 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 243 | 142 | 235 | 100 | 196 | 99 | 53.1% | 9.0% | 91.9% | 101.0 | LUCKY | |
_Since Last GM Reset | 22 | 8 | 6 | 0 | 2 | 0 | 2 | 4 | 60 | 58 | 2 | 28 | 0.636 | 60 | 99 | 159 | 0 | 0 | 12 | 22 | 22 | 6 | 716 | 227 | 243 | 243 | 22 | 676 | 250 | 156 | 464 | 65 | 12 | 18.46% | 58 | 10 | 82.76% | 3 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 493 | 289 | 460 | 202 | 396 | 199 | 50.0% | 8.4% | 91.4% | 99.8 | DULL | |
Total | 22 | 8 | 6 | 0 | 2 | 0 | 2 | 4 | 60 | 58 | 2 | 28 | 0.636 | 60 | 99 | 159 | 0 | 0 | 12 | 22 | 22 | 6 | 716 | 227 | 243 | 243 | 22 | 676 | 250 | 156 | 464 | 65 | 12 | 18.46% | 58 | 10 | 82.76% | 3 | 277 | 510 | 54.31% | 283 | 500 | 56.60% | 164 | 312 | 52.56% | 493 | 289 | 460 | 202 | 396 | 199 | 50.0% | 8.4% | 91.4% | 99.8 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 510 |
Neutral Zone Start | 312 |
Defensive Zone Start | 500 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 724 |
Faceoffs Lost | 598 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 21.4 | 20.31 |
3rd Period | 32.4 | 30.68 |
Overtime | 33.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 45 |
---|---|
PP Goal | 12 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 5 |
Lost | 2 | 4 |
Overtime Lost | 2 | 2 |
PP Attempt | 65 |
---|---|
PP Goal | 12 |
PK Attempt | 58 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 32.5 |
Shots Against | 30.7 |
Goals For | 2.7 |
Goals Against | 2.6 |
Hits | 21.1 |
Shots Blocked | 11.4 |
Pim | 7.1 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-10-08 | @ | Flyers4,Blue Jackets1 | RECAP | ||
2023-10-10 | @ | Flyers3,Senators4 (SO) | RECAP | ||
2023-10-13 | @ | Canucks1,Flyers2 (OT) | RECAP | ||
2023-10-15 | @ | Oilers3,Flyers1 | RECAP | ||
2023-10-17 | @ | Flyers1,Stars3 | RECAP | ||
2023-10-20 | @ | Flyers1,Golden Knights6 | RECAP | ||
2023-10-22 | @ | Wild1,Flyers3 | RECAP | ||
2023-10-24 | @ | Ducks1,Flyers2 | RECAP | ||
2023-10-26 | @ | Hurricanes2,Flyers3 | RECAP | ||
2023-10-28 | @ | Sabres2,Flyers3 (OT) | RECAP | ||
2023-10-30 | @ | Flyers4,Sabres2 | RECAP | ||
2023-10-31 | @ | Kings2,Flyers3 (SO) | RECAP | ||
2023-11-03 | @ | Flyers5,Sharks4 (SO) | RECAP | ||
2023-11-06 | @ | Flyers3,Ducks1 | RECAP | ||
2023-11-07 | @ | Flyers2,Kings4 | RECAP | ||
2023-11-11 | @ | Flyers2,Hurricanes3 (SO) | RECAP | ||
2023-11-14 | @ | Golden Knights4,Flyers3 (SO) | RECAP | ||
2023-11-15 | @ | Blue Jackets2,Flyers4 | RECAP | ||
2023-11-18 | @ | Flyers2,Islanders3 | RECAP | ||
2023-11-20 | @ | Rangers2,Flyers1 (SO) | RECAP | ||
2023-11-21 | @ | Flyers5,Islanders3 | RECAP | ||
2023-11-24 | @ | Hurricanes4,Flyers3 | RECAP | ||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,438,333$ | 0$ | 81,438,333$ | 1,061,667$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Wells Fargo Center | |
City | Philadelphie | ||
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 | 62081 | 50940 | 20467 | 41201 | 10166 |
Attendance PCT | 94.06% | 92.62% | 93.03% | 93.64% | 92.42% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
30 | 16805 - 93.36% | 604,771$ | 6,652,477$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,438,333$ | 81,438,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
21,207,900$ | 81,438,333$ | 21,207,900$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
18,143,119$ | 142 | 424,158$ | 60,230,436$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
65,507,794$ | 81,438,333$ | -505,689,556$ | -553,054,231$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
Priority | Type | Description |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo phi 2023 | |||||
Adam Edstrom | 2019 | 172 | |||
Aidan Thompson | 2022 | 106 | |||
Ales Stezka | |||||
Alex Gagne | 2021 | 192 | |||
Alexander Ljungkrantz | 2020 | 101 | |||
Ben Meehan | 2020 | 145 | |||
Brandon Halverson | |||||
Brett Harrison | 2021 | 96 | |||
Brian Boyle | Link | ||||
Calvin Thurkauf | |||||
Cameron MacDonald | 2021 | 160 | |||
Cody Eakin | Link | ||||
Colby Williams | |||||
Connor Bunnaman | Link | ||||
Dawson Barteaux | 2018 | 180 | |||
Dominic Turgeon | |||||
Dylan Roobroeck | 2023 | 188 | |||
Gabriel Fontaine | 2016 | 164 | |||
Gunnarwolfe Fontaine | 2020 | 194 | |||
Hunter Haight | 2022 | 74 | |||
Ivan Chukarov | |||||
JC Beaudin | |||||
Jachym Kondelik | 2018 | 118 | |||
Jacob Leguerrier | 2019 | 110 | |||
Jaedon Descheneau | |||||
Jesper Vikman | 2020 | 132 | |||
Jordan Subban | |||||
Joren Van Pottelberghe | |||||
Justin Gill | 2023 | 141 | |||
Logan Neaton | 2019 | 141 | |||
Lucas Wallmark | Link | ||||
Maxim Barbashev | 2022 | 170 | |||
Nathan Noel | 2016 | 104 | |||
Nicholas Vantassell | 2023 | 220 | |||
Nikita Soshnikov | Link | ||||
Nolan Vesey | |||||
Parker Foo | |||||
Patrick Guay | 2022 | 138 | |||
Pavel Shen | 2018 | 211 | |||
Remi Poirier | 2020 | 187 | |||
Rinat Valiev | |||||
Roman Kantserov | 2023 | 60 | |||
Santeri Sulku | 2022 | 202 | |||
Sean Day | Link | ||||
Stefan Matteau | Link | ||||
Sven Baertschi | Link | ||||
Tanner Kaspick | 2016 | 134 | |||
Vasily Ponomarev | 2020 | 67 | |||
Yegor Sidorov | 2023 | 92 | |||
Yegor Yegorov | 2023 | 156 | |||
Zachary Sawchenko | Link |
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