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Full Scoreboard »» |
Philadelphie Flyers 22-13-7, 51pts · 5th 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 | 77 | 39 | 83 | 82 | 68 | 87 | 60 | 81 | 62 | 83 | 87 | 66 | 82 | 71 | 69 | 62 | 50 | 73 | 24 | 6,000,000$/5yrs | |||
![]() | 0 | LW/RW | 99.00 | 54 | 39 | 85 | 79 | 71 | 85 | 82 | 78 | 59 | 87 | 71 | 84 | 79 | 71 | 73 | 78 | 50 | 73 | 25 | 5,400,000$/5yrs | |||
![]() | 0 | C | 100.00 | 66 | 43 | 85 | 76 | 77 | 85 | 88 | 75 | 90 | 78 | 77 | 64 | 76 | 69 | 82 | 83 | 50 | 71 | 24 | 5,500,000$/3yrs | |||
![]() | 0 | C | 100.00 | 68 | 41 | 75 | 73 | 81 | 82 | 88 | 71 | 83 | 74 | 72 | 84 | 71 | 79 | 72 | 66 | 50 | 71 | 30 | 3,500,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 52 | 40 | 89 | 79 | 74 | 83 | 87 | 78 | 71 | 77 | 84 | 58 | 79 | 67 | 72 | 85 | 50 | 71 | 23 | 6,962,366$/5yrs | |||
![]() | 0 | LW | 100.00 | 79 | 42 | 87 | 76 | 69 | 83 | 87 | 72 | 54 | 73 | 74 | 63 | 72 | 65 | 66 | 80 | 50 | 69 | 22 | 2,100,000$/2yrs | |||
![]() | 0 | C | 100.00 | 67 | 40 | 81 | 66 | 77 | 82 | 88 | 65 | 83 | 69 | 63 | 86 | 64 | 85 | 79 | 42 | 50 | 69 | 34 | 5,750,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 61 | 38 | 89 | 67 | 82 | 84 | 70 | 66 | 53 | 76 | 69 | 81 | 67 | 71 | 65 | 48 | 50 | 68 | 24 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 57 | 42 | 78 | 65 | 86 | 80 | 75 | 64 | 82 | 73 | 58 | 80 | 64 | 87 | 92 | 43 | 50 | 67 | 36 | 5,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 39 | 84 | 74 | 68 | 84 | 82 | 71 | 59 | 72 | 73 | 56 | 74 | 67 | 69 | 80 | 50 | 67 | 23 | 900,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 83 | 40 | 71 | 65 | 77 | 79 | 74 | 63 | 59 | 62 | 64 | 77 | 61 | 84 | 76 | 38 | 50 | 66 | 33 | 2,400,000$/2yrs | |||
![]() | 0 | C | 100.00 | 72 | 39 | 84 | 66 | 71 | 77 | 68 | 64 | 80 | 67 | 61 | 73 | 62 | 77 | 69 | 51 | 50 | 65 | 28 | 3,850,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 42 | 89 | 63 | 70 | 86 | 80 | 62 | 59 | 65 | 60 | 61 | 63 | 75 | 68 | 71 | 50 | 62 | 26 | 3,366,666$/2yrs | |||
![]() | 0 | D | 100.00 | 93 | 43 | 73 | 72 | 90 | 88 | 86 | 68 | 30 | 79 | 65 | 81 | 54 | 71 | 67 | 83 | 50 | 74 | 24 | 5,400,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 42 | 83 | 73 | 87 | 92 | 80 | 71 | 30 | 82 | 64 | 83 | 56 | 73 | 67 | 71 | 50 | 73 | 26 | 4,167,000$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 41 | 75 | 73 | 82 | 89 | 82 | 72 | 30 | 74 | 75 | 76 | 59 | 63 | 66 | 84 | 50 | 71 | 21 | 4,600,000$/6yrs | |||
![]() | 0 | D | 100.00 | 82 | 49 | 69 | 69 | 74 | 86 | 63 | 67 | 30 | 75 | 72 | 80 | 58 | 71 | 67 | 52 | 50 | 70 | 25 | 1,600,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 43 | 82 | 61 | 88 | 87 | 75 | 59 | 30 | 70 | 53 | 83 | 46 | 87 | 77 | 42 | 50 | 69 | 36 | 3,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 79 | 66 | 72 | 88 | 90 | 65 | 30 | 74 | 62 | 73 | 51 | 65 | 64 | 58 | 53 | 68 | 22 | 733,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 82 | 48 | 80 | 64 | 99 | 72 | 61 | 63 | 78 | 69 | 65 | 67 | 66 | 86 | 77 | 39 | 50 | 66 | 34 | 940,000$/1yrs | |||
![]() | 0 | D | 100.00 | 74 | 43 | 85 | 64 | 78 | 77 | 74 | 63 | 30 | 65 | 55 | 66 | 52 | 71 | 65 | 54 | 50 | 64 | 25 | 1,900,000$/1yrs | |||
TEAM AVERAGE | 99.95 | 70 | 42 | 81 | 70 | 78 | 84 | 78 | 68 | 56 | 74 | 68 | 73 | 65 | 74 | 72 | 62 | 50 | 69 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 91 | 95 | 93 | 94 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 79 | 85 | 54 | 50 | 87 | 29 | 5,000,000$/2yrs |
![]() | 0 | 100.00 | 90 | 92 | 90 | 68 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 69 | 73 | 59 | 50 | 82 | 24 | 1,500,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 91 | 94 | 92 | 81 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 74 | 79 | 57 | 50 | 85 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 70 | 49 | 87 | 60 | 84 | 79 | 72 | 58 | 65 | 60 | 59 | 61 | 58 | 71 | 66 | 75 | 48 | 61 | 25 | 725,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 71 | 43 | 81 | 64 | 70 | 72 | 76 | 63 | 50 | 61 | 62 | 58 | 63 | 67 | 65 | 71 | 60 | 61 | 23 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 42 | 89 | 61 | 77 | 76 | 75 | 59 | 72 | 57 | 60 | 58 | 61 | 65 | 63 | 66 | 60 | 60 | 22 | 765,000$/1yrs | |||
![]() | 0 | C | 100.00 | 65 | 42 | 89 | 59 | 80 | 87 | 89 | 58 | 74 | 57 | 55 | 56 | 54 | 67 | 64 | 66 | 60 | 60 | 23 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 67 | 45 | 88 | 62 | 86 | 74 | 68 | 59 | 56 | 61 | 57 | 60 | 59 | 65 | 63 | 66 | 60 | 60 | 22 | 702,500$/1yrs | |||
![]() | 0 | C | 100.00 | 64 | 46 | 88 | 61 | 82 | 73 | 74 | 59 | 66 | 60 | 58 | 57 | 61 | 65 | 62 | 56 | 60 | 59 | 22 | 714,444$/1yrs | |||
![]() | 0 | C | 100.00 | 66 | 43 | 84 | 60 | 79 | 70 | 67 | 58 | 71 | 56 | 59 | 58 | 54 | 63 | 62 | 61 | 60 | 58 | 21 | 736,666$/2yrs | |||
![]() | 0 | C | 100.00 | 55 | 41 | 85 | 60 | 63 | 72 | 75 | 58 | 70 | 57 | 59 | 56 | 58 | 67 | 64 | 57 | 60 | 57 | 22 | 688,333$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 43 | 73 | 68 | 75 | 83 | 75 | 67 | 30 | 69 | 62 | 74 | 52 | 67 | 65 | 74 | 60 | 67 | 22 | 863,333$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 42 | 90 | 62 | 74 | 83 | 73 | 59 | 30 | 58 | 57 | 63 | 48 | 61 | 63 | 62 | 60 | 61 | 20 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 72 | 49 | 86 | 55 | 86 | 84 | 83 | 54 | 30 | 53 | 52 | 57 | 48 | 69 | 65 | 63 | 60 | 61 | 24 | 700,000$/1yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | 42 | 6 | 27 | 33 | 2 | 12 | 0 | 52 | 91 | 40 | 56 | 6.59% | 18 | 19.47 | 2 | 15 | 17 | 106 | 0 | 0 | 0 | 27 | 1 | 0 | 54.03% | 1068 | 16 | 7 | 0 | 0 | 0.81 | 1 | 3 | ||
2 | Jake Guentzel | 0 | LW/RW | 42 | 13 | 20 | 33 | -3 | 23 | 5 | 56 | 165 | 59 | 92 | 7.88% | 10 | 18.51 | 6 | 12 | 18 | 113 | 0 | 0 | 0 | 4 | 5 | 2 | 52.27% | 44 | 41 | 14 | 0 | 0 | 0.85 | 2 | 12 | ||
3 | Teuvo Teravainen | 0 | LW/RW | 42 | 10 | 23 | 33 | 1 | 14 | 0 | 50 | 129 | 44 | 83 | 7.75% | 17 | 21.07 | 1 | 2 | 3 | 66 | 0 | 1 | 1 | 105 | 2 | 2 | 43.84% | 73 | 32 | 13 | 0 | 0 | 0.75 | 4 | 12 | ||
4 | William Nylander | 0 | LW/RW | 42 | 17 | 15 | 32 | -10 | 4 | 0 | 42 | 169 | 52 | 111 | 10.06% | 14 | 17.78 | 7 | 5 | 12 | 104 | 0 | 0 | 0 | 0 | 1 | 2 | 42.11% | 38 | 33 | 10 | 0 | 0 | 0.86 | 3 | 8 | ||
5 | Anthony Beauvillier | 0 | LW | 42 | 7 | 14 | 21 | 3 | 4 | 0 | 54 | 93 | 33 | 50 | 7.53% | 9 | 15.44 | 2 | 7 | 9 | 103 | 0 | 0 | 0 | 43 | 0 | 0 | 58.33% | 24 | 23 | 9 | 0 | 0 | 0.65 | 0 | 0 | ||
6 | Lars Eller | 0 | C | 42 | 7 | 12 | 19 | -2 | 32 | 0 | 53 | 104 | 28 | 53 | 6.73% | 19 | 17.61 | 2 | 2 | 4 | 56 | 0 | 0 | 0 | 51 | 2 | 1 | 50.52% | 669 | 15 | 13 | 0 | 0 | 0.51 | 0 | 0 | ||
7 | Robby Fabbri | 0 | C/LW | 42 | 8 | 6 | 14 | 6 | 2 | 0 | 39 | 81 | 24 | 53 | 9.88% | 2 | 10.67 | 0 | 1 | 1 | 30 | 0 | 0 | 0 | 0 | 1 | 1 | 41.67% | 12 | 15 | 1 | 0 | 0 | 0.62 | 1 | 2 | ||
8 | Travis Zajac | 0 | C | 42 | 7 | 5 | 12 | 6 | 8 | 0 | 33 | 69 | 22 | 43 | 10.14% | 11 | 12.97 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 136 | 0 | 0 | 50.12% | 407 | 11 | 6 | 2 | 0 | 0.44 | 0 | 0 | ||
9 | Oscar Klefbom | 0 | D | 42 | 1 | 11 | 12 | -7 | 16 | 0 | 38 | 71 | 22 | 29 | 1.41% | 72 | 26.76 | 0 | 2 | 2 | 98 | 0 | 0 | 0 | 136 | 1 | 0 | 0.00% | 0 | 19 | 32 | 0 | 0 | 0.21 | 0 | 0 | ||
10 | Rasmus Ristolainen | 0 | D | 42 | 3 | 9 | 12 | -2 | 46 | 0 | 98 | 60 | 18 | 32 | 5.00% | 42 | 25.22 | 2 | 3 | 5 | 113 | 0 | 0 | 0 | 120 | 1 | 0 | 0.00% | 0 | 20 | 42 | 0 | 0 | 0.23 | 0 | 0 | ||
11 | Jakob Chychrun | 0 | D | 42 | 1 | 8 | 9 | -2 | 32 | 0 | 68 | 48 | 23 | 25 | 2.08% | 38 | 22.26 | 1 | 2 | 3 | 117 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 30 | 31 | 0 | 0 | 0.19 | 0 | 0 | ||
12 | Mikko Koivu | 0 | C | 42 | 3 | 5 | 8 | -6 | 10 | 0 | 53 | 45 | 11 | 21 | 6.67% | 17 | 15.32 | 2 | 2 | 4 | 91 | 0 | 0 | 0 | 22 | 0 | 1 | 56.03% | 448 | 8 | 14 | 0 | 0 | 0.25 | 0 | 0 | ||
13 | Ilya Mikheyev | 0 | RW | 42 | 4 | 4 | 8 | -3 | 2 | 0 | 39 | 72 | 14 | 37 | 5.56% | 16 | 15.46 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 99 | 1 | 0 | 41.94% | 31 | 18 | 18 | 0 | 0 | 0.25 | 0 | 0 | ||
14 | MacKenzie Weegar | 0 | D | 42 | 0 | 6 | 6 | 6 | 28 | 0 | 47 | 24 | 11 | 10 | 0.00% | 26 | 14.50 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 96 | 0 | 0 | 0.00% | 0 | 14 | 22 | 0 | 0 | 0.20 | 0 | 0 | ||
15 | Blake Comeau | 0 | LW/RW | 42 | 2 | 4 | 6 | 3 | 16 | 0 | 34 | 28 | 16 | 29 | 7.14% | 10 | 8.49 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 1 | 0 | 0 | 66.67% | 9 | 7 | 9 | 0 | 0 | 0.34 | 0 | 0 | ||
16 | Brian Boyle | 0 | C | 37 | 3 | 3 | 6 | 3 | 8 | 0 | 26 | 40 | 13 | 21 | 7.50% | 3 | 7.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 20.00% | 5 | 8 | 5 | 0 | 0 | 0.41 | 0 | 0 | ||
17 | Jay Bouwmeester | 0 | D | 42 | 0 | 3 | 3 | 5 | 8 | 0 | 18 | 19 | 2 | 8 | 0.00% | 22 | 15.14 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 105 | 0 | 0 | 0.00% | 0 | 2 | 16 | 0 | 0 | 0.09 | 0 | 0 | ||
18 | Ethan Bear | 0 | D | 42 | 2 | 1 | 3 | 1 | 28 | 0 | 39 | 31 | 17 | 13 | 6.45% | 33 | 19.35 | 1 | 0 | 1 | 92 | 0 | 0 | 0 | 1 | 0 | 1 | 0.00% | 0 | 6 | 19 | 0 | 0 | 0.07 | 0 | 0 | ||
19 | Cody Eakin | 0 | C | 23 | 2 | 0 | 2 | 0 | 2 | 0 | 13 | 21 | 5 | 8 | 9.52% | 1 | 8.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 54.24% | 59 | 3 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
Team Total or Average | 774 | 96 | 176 | 272 | 1 | 295 | 5 | 852 | 1360 | 454 | 774 | 7.06% | 380 | 16.68 | 26 | 53 | 79 | 1110 | 1 | 2 | 3 | 985 | 17 | 11 | 52.37% | 2887 | 321 | 281 | 2 | 0 | 0.42 | 11 | 37 |
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 | Frederik Andersen | 32 | 17 | 12 | 3 | 0.929 | 2.00 | 1894 | 2 | 4 | 63 | 887 | 394 | 2 | 3 | 0.667 | 18 | 32 | 10 | 8 | 2 | 3 | |
2 | Juuse Saros | 12 | 5 | 1 | 4 | 0.936 | 1.85 | 681 | 0 | 0 | 21 | 330 | 143 | 0 | 0 | 0.471 | 17 | 10 | 32 | 0 | 3 | 2 | |
Team Total or Average | 44 | 22 | 13 | 7 | 0.931 | 1.96 | 2575 | 2 | 4 | 84 | 1217 | 537 | 2 | 3 | 0.571 | 35 | 42 | 42 | 8 | 5 | 5 |
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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 34 | 7 | 8 | 19 | 0 | 27 | 7 | 4 | 20 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 23 | 13 | 18 | 9 | 18 | 9 | 33.3% | 2.9% | 92.6% | 95.5 | DULL | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 9 | 14 | 0 | 1 | 0 | 3 | 2 | 0 | 59 | 17 | 20 | 22 | 0 | 48 | 15 | 8 | 47 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 42 | 23 | 39 | 18 | 37 | 19 | 75.0% | 8.5% | 97.9% | 106.4 | DULL | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 1 | 3 | 3 | 0 | 66 | 21 | 19 | 26 | 0 | 72 | 20 | 14 | 31 | 7 | 2 | 28.57% | 7 | 3 | 57.14% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 44 | 26 | 40 | 18 | 34 | 17 | 71.4% | 10.6% | 93.1% | 103.7 | LUCKY | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 10 | 16 | 1 | 1 | 5 | 1 | 0 | 0 | 69 | 30 | 19 | 20 | 0 | 43 | 16 | 14 | 49 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 46 | 27 | 38 | 17 | 35 | 17 | 55.6% | 8.7% | 88.4% | 97.1 | Unlucky | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 7 | 11 | 0 | 1 | 1 | 0 | 3 | 0 | 65 | 19 | 20 | 26 | 0 | 50 | 20 | 4 | 41 | 7 | 2 | 28.57% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 47 | 28 | 39 | 16 | 33 | 17 | 66.7% | 6.2% | 98.0% | 104.2 | DULL | |
6 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 1 | 32 | 11 | 7 | 11 | 5 | 31 | 12 | 4 | 19 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 24 | 13 | 20 | 8 | 20 | 10 | 40.0% | 12.5% | 90.3% | 102.8 | FUN | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 32 | 13 | 12 | 7 | 0 | 25 | 7 | 4 | 16 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 23 | 13 | 19 | 8 | 17 | 8 | 20.0% | 3.1% | 84.0% | 87.1 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 31 | 7 | 10 | 14 | 0 | 21 | 8 | 4 | 15 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 25 | 15 | 17 | 8 | 17 | 9 | 66.7% | 9.7% | 95.2% | 104.9 | LUCKY | |
9 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 2 | 46 | 11 | 22 | 10 | 8 | 75 | 10 | 8 | 39 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 40 | 22 | 47 | 19 | 37 | 17 | 60.0% | 8.7% | 97.3% | 106.0 | DULL | |
10 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 6 | 7 | -1 | 3 | 0.500 | 6 | 8 | 14 | 0 | 0 | 1 | 2 | 2 | 4 | 94 | 23 | 37 | 34 | 7 | 92 | 21 | 26 | 66 | 9 | 2 | 22.22% | 13 | 1 | 92.31% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 67 | 36 | 66 | 28 | 55 | 28 | 40.0% | 6.4% | 92.4% | 98.8 | DULL | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 23 | 19 | 2 | 2 | 2 | 40 | 10 | 6 | 14 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 20 | 10 | 23 | 10 | 20 | 10 | 50.0% | 13.0% | 90.0% | 103.0 | FUN | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 0 | 2 | 0 | 24 | 6 | 10 | 8 | 0 | 31 | 9 | 6 | 16 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 20 | 10 | 20 | 9 | 18 | 9 | 100.0% | 8.3% | 100.0% | 108.3 | DULL | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 42 | 8 | 21 | 13 | 0 | 35 | 7 | 12 | 15 | 3 | 1 | 33.33% | 6 | 3 | 50.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 21 | 12 | 22 | 8 | 16 | 7 | 66.7% | 7.1% | 88.6% | 95.7 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 33 | 7 | 18 | 8 | 0 | 32 | 10 | 4 | 21 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 24 | 14 | 18 | 8 | 17 | 9 | 50.0% | 9.1% | 96.9% | 106.0 | LUCKY | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 33 | 2 | 11 | 20 | 0 | 37 | 18 | 8 | 11 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 20 | 11 | 22 | 8 | 16 | 8 | 33.3% | 3.0% | 91.9% | 94.9 | DULL | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 0 | 3 | 0 | 0 | 32 | 7 | 13 | 12 | 0 | 35 | 13 | 8 | 20 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 19 | 10 | 22 | 10 | 17 | 8 | 33.3% | 9.4% | 85.7% | 95.1 | FUN | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 42 | 16 | 13 | 13 | 0 | 27 | 10 | 6 | 21 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 25 | 16 | 18 | 8 | 16 | 8 | 75.0% | 9.5% | 96.3% | 105.8 | LUCKY | |
18 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 0 | 1 | 2 | 3 | 76 | 24 | 24 | 26 | 6 | 64 | 24 | 12 | 30 | 8 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 48 | 29 | 41 | 18 | 34 | 18 | 40.0% | 5.3% | 90.6% | 95.9 | Unlucky | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 34 | 14 | 12 | 8 | 0 | 27 | 12 | 4 | 28 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 22 | 13 | 18 | 9 | 18 | 9 | 75.0% | 11.8% | 96.3% | 108.1 | LUCKY | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 36 | 13 | 13 | 10 | 0 | 31 | 8 | 6 | 20 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 22 | 13 | 19 | 10 | 17 | 8 | 50.0% | 5.6% | 96.8% | 102.3 | DULL | |
21 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 5 | 4 | 5 | 0.833 | 9 | 15 | 24 | 0 | 0 | 4 | 3 | 2 | 0 | 84 | 28 | 37 | 16 | 6 | 93 | 24 | 34 | 51 | 10 | 2 | 20.00% | 17 | 3 | 82.35% | 1 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 63 | 35 | 66 | 29 | 55 | 27 | 77.8% | 10.7% | 94.6% | 105.3 | LUCKY | |
22 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 35 | 8 | 20 | 7 | 2 | 19 | 13 | 4 | 27 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 26 | 15 | 18 | 9 | 20 | 10 | 40.0% | 5.7% | 84.2% | 89.9 | Unlucky | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 58 | 21 | 18 | 19 | 0 | 56 | 18 | 18 | 42 | 6 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 44 | 25 | 40 | 17 | 35 | 17 | 33.3% | 3.4% | 92.9% | 96.3 | DULL | |
24 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 56 | 20 | 23 | 13 | 3 | 55 | 20 | 14 | 31 | 9 | 1 | 11.11% | 7 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 43 | 24 | 45 | 21 | 36 | 17 | 20.0% | 3.6% | 92.7% | 96.3 | DULL | |
25 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 2 | 1 | 59 | 21 | 18 | 19 | 1 | 53 | 5 | 20 | 46 | 6 | 1 | 16.67% | 10 | 2 | 80.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 45 | 25 | 39 | 18 | 35 | 17 | 42.9% | 6.8% | 88.7% | 95.5 | Unlucky | |
26 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 10 | -6 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 66 | 11 | 36 | 16 | 5 | 56 | 21 | 19 | 51 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 43 | 24 | 42 | 19 | 38 | 18 | 33.3% | 6.1% | 82.1% | 88.2 | Unlucky | |
27 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 1 | 1 | 60 | 21 | 19 | 16 | 10 | 45 | 15 | 22 | 47 | 3 | 1 | 33.33% | 11 | 2 | 81.82% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 46 | 25 | 41 | 21 | 42 | 18 | 57.1% | 8.3% | 88.9% | 97.2 | Unlucky | |
_Vs Division | 11 | 5 | 4 | 0 | 1 | 0 | 1 | 0 | 23 | 19 | 4 | 14 | 0.636 | 23 | 39 | 62 | 0 | 2 | 5 | 3 | 13 | 4 | 355 | 114 | 113 | 125 | 7 | 302 | 94 | 70 | 211 | 34 | 5 | 14.71% | 35 | 2 | 94.29% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 256 | 152 | 217 | 96 | 191 | 97 | 51.4% | 6.5% | 93.7% | 100.2 | DULL | |
_Vs Conference | 23 | 10 | 7 | 0 | 1 | 0 | 3 | 2 | 55 | 45 | 10 | 30 | 0.652 | 55 | 89 | 144 | 1 | 2 | 13 | 15 | 23 | 9 | 732 | 220 | 244 | 259 | 25 | 681 | 208 | 164 | 437 | 75 | 14 | 18.67% | 82 | 10 | 87.80% | 1 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 522 | 304 | 470 | 209 | 412 | 208 | 53.9% | 7.5% | 93.4% | 100.9 | DULL | |
_Since Last GM Reset | 42 | 16 | 13 | 0 | 1 | 0 | 5 | 7 | 98 | 94 | 4 | 51 | 0.607 | 98 | 165 | 263 | 3 | 4 | 23 | 37 | 32 | 12 | 1321 | 405 | 482 | 415 | 55 | 1220 | 373 | 293 | 834 | 132 | 25 | 18.94% | 144 | 20 | 86.11% | 1 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 943 | 544 | 870 | 393 | 767 | 381 | 49.7% | 7.4% | 92.3% | 99.7 | DULL | |
Total | 42 | 16 | 13 | 0 | 1 | 0 | 5 | 7 | 98 | 94 | 4 | 51 | 0.607 | 98 | 165 | 263 | 3 | 4 | 23 | 37 | 32 | 12 | 1321 | 405 | 482 | 415 | 55 | 1220 | 373 | 293 | 834 | 132 | 25 | 18.94% | 144 | 20 | 86.11% | 1 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 943 | 544 | 870 | 393 | 767 | 381 | 49.7% | 7.4% | 92.3% | 99.7 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1004 |
Neutral Zone Start | 541 |
Defensive Zone Start | 956 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1300 |
Faceoffs Lost | 1201 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.6 | 9.57 |
2nd Period | 21.1 | 20.31 |
3rd Period | 31.0 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 69 |
---|---|
PP Goal | 25 |
PK Goal | 1 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 9 | 13 |
Lost | 7 | 6 |
Overtime Lost | 3 | 4 |
PP Attempt | 132 |
---|---|
PP Goal | 25 |
PK Attempt | 144 |
PK Goal Against | 20 |
Home | |
---|---|
Shots For | 31.5 |
Shots Against | 29.0 |
Goals For | 2.3 |
Goals Against | 2.2 |
Hits | 19.9 |
Shots Blocked | 8.9 |
Pim | 7.0 |
Projected Total Cap Hit | 81,244,032$ |
Projected Cap Space | 255,968$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 41,868,819$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Flyers Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Beauvillier ![]() | LW | 22 | 2,100,000$ | 2,100,000$ | 2,100,000$ | ||||||
Blake Comeau ![]() | LW/RW | 33 | 2,400,000$ | 2,400,000$ | 2,400,000$ | ||||||
Bo Horvat ![]() | C | 24 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||||
Brian Boyle ![]() | C | 34 | 940,000$ | 940,000$ | |||||||
Cody Eakin ![]() | C | 28 | 3,850,000$ | 3,850,000$ | |||||||
Ethan Bear ![]() | D | 22 | 733,000$ | 733,000$ | |||||||
Frederik Andersen ![]() | G | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Ilya Mikheyev ![]() | RW | 24 | 925,000$ | 925,000$ | |||||||
Jake Guentzel ![]() | LW/RW | 24 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||
Jakob Chychrun ![]() | D | 21 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | ||
Jay Bouwmeester ![]() | D | 36 | 3,250,000$ | 3,250,000$ | |||||||
Juuse Saros ![]() | G | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Lars Eller ![]() | C | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||||
MacKenzie Weegar ![]() | D | 25 | 1,600,000$ | 1,600,000$ | |||||||
Matt Benning ![]() | D | 25 | 1,900,000$ | 1,900,000$ | |||||||
Mikko Koivu ![]() | C | 36 | 5,500,000$ | 5,500,000$ | |||||||
Oscar Klefbom ![]() | D | 26 | 4,167,000$ | 4,167,000$ | 4,167,000$ | ||||||
Rasmus Ristolainen ![]() | D | 24 | 5,400,000$ | 5,400,000$ | 5,400,000$ | ||||||
Robby Fabbri ![]() | C/LW | 23 | 900,000$ | 900,000$ | |||||||
Sven Baertschi ![]() | LW/RW | 26 | 3,366,666$ | 3,366,666$ | 3,366,666$ | ||||||
Teuvo Teravainen ![]() | LW/RW | 25 | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | |||
Travis Zajac ![]() | C | 34 | 5,750,000$ | 5,750,000$ | 5,750,000$ | ||||||
William Nylander ![]() | LW/RW | 23 | 6,962,366$ | 6,962,366$ | 6,962,366$ | 6,962,366$ | 6,962,366$ | 6,962,366$ |
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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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 34 | 7 | 8 | 19 | 0 | 27 | 7 | 4 | 20 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 23 | 13 | 18 | 9 | 18 | 9 | 33.3% | 2.9% | 92.6% | 95.5 | DULL | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 9 | 14 | 0 | 1 | 0 | 3 | 2 | 0 | 59 | 17 | 20 | 22 | 0 | 48 | 15 | 8 | 47 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 42 | 23 | 39 | 18 | 37 | 19 | 75.0% | 8.5% | 97.9% | 106.4 | DULL | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 1 | 3 | 3 | 0 | 66 | 21 | 19 | 26 | 0 | 72 | 20 | 14 | 31 | 7 | 2 | 28.57% | 7 | 3 | 57.14% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 44 | 26 | 40 | 18 | 34 | 17 | 71.4% | 10.6% | 93.1% | 103.7 | LUCKY | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 10 | 16 | 1 | 1 | 5 | 1 | 0 | 0 | 69 | 30 | 19 | 20 | 0 | 43 | 16 | 14 | 49 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 46 | 27 | 38 | 17 | 35 | 17 | 55.6% | 8.7% | 88.4% | 97.1 | Unlucky | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 7 | 11 | 0 | 1 | 1 | 0 | 3 | 0 | 65 | 19 | 20 | 26 | 0 | 50 | 20 | 4 | 41 | 7 | 2 | 28.57% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 47 | 28 | 39 | 16 | 33 | 17 | 66.7% | 6.2% | 98.0% | 104.2 | DULL | |
6 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 1 | 32 | 11 | 7 | 11 | 5 | 31 | 12 | 4 | 19 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 24 | 13 | 20 | 8 | 20 | 10 | 40.0% | 12.5% | 90.3% | 102.8 | FUN | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 32 | 13 | 12 | 7 | 0 | 25 | 7 | 4 | 16 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 23 | 13 | 19 | 8 | 17 | 8 | 20.0% | 3.1% | 84.0% | 87.1 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 31 | 7 | 10 | 14 | 0 | 21 | 8 | 4 | 15 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 25 | 15 | 17 | 8 | 17 | 9 | 66.7% | 9.7% | 95.2% | 104.9 | LUCKY | |
9 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 2 | 46 | 11 | 22 | 10 | 8 | 75 | 10 | 8 | 39 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 40 | 22 | 47 | 19 | 37 | 17 | 60.0% | 8.7% | 97.3% | 106.0 | DULL | |
10 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 6 | 7 | -1 | 3 | 0.500 | 6 | 8 | 14 | 0 | 0 | 1 | 2 | 2 | 4 | 94 | 23 | 37 | 34 | 7 | 92 | 21 | 26 | 66 | 9 | 2 | 22.22% | 13 | 1 | 92.31% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 67 | 36 | 66 | 28 | 55 | 28 | 40.0% | 6.4% | 92.4% | 98.8 | DULL | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 23 | 19 | 2 | 2 | 2 | 40 | 10 | 6 | 14 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 20 | 10 | 23 | 10 | 20 | 10 | 50.0% | 13.0% | 90.0% | 103.0 | FUN | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 0 | 2 | 0 | 24 | 6 | 10 | 8 | 0 | 31 | 9 | 6 | 16 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 20 | 10 | 20 | 9 | 18 | 9 | 100.0% | 8.3% | 100.0% | 108.3 | DULL | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 42 | 8 | 21 | 13 | 0 | 35 | 7 | 12 | 15 | 3 | 1 | 33.33% | 6 | 3 | 50.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 21 | 12 | 22 | 8 | 16 | 7 | 66.7% | 7.1% | 88.6% | 95.7 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 33 | 7 | 18 | 8 | 0 | 32 | 10 | 4 | 21 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 24 | 14 | 18 | 8 | 17 | 9 | 50.0% | 9.1% | 96.9% | 106.0 | LUCKY | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 33 | 2 | 11 | 20 | 0 | 37 | 18 | 8 | 11 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 20 | 11 | 22 | 8 | 16 | 8 | 33.3% | 3.0% | 91.9% | 94.9 | DULL | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 0 | 3 | 0 | 0 | 32 | 7 | 13 | 12 | 0 | 35 | 13 | 8 | 20 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 19 | 10 | 22 | 10 | 17 | 8 | 33.3% | 9.4% | 85.7% | 95.1 | FUN | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 42 | 16 | 13 | 13 | 0 | 27 | 10 | 6 | 21 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 25 | 16 | 18 | 8 | 16 | 8 | 75.0% | 9.5% | 96.3% | 105.8 | LUCKY | |
18 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 0 | 1 | 2 | 3 | 76 | 24 | 24 | 26 | 6 | 64 | 24 | 12 | 30 | 8 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 48 | 29 | 41 | 18 | 34 | 18 | 40.0% | 5.3% | 90.6% | 95.9 | Unlucky | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 34 | 14 | 12 | 8 | 0 | 27 | 12 | 4 | 28 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 22 | 13 | 18 | 9 | 18 | 9 | 75.0% | 11.8% | 96.3% | 108.1 | LUCKY | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 36 | 13 | 13 | 10 | 0 | 31 | 8 | 6 | 20 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 22 | 13 | 19 | 10 | 17 | 8 | 50.0% | 5.6% | 96.8% | 102.3 | DULL | |
21 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 5 | 4 | 5 | 0.833 | 9 | 15 | 24 | 0 | 0 | 4 | 3 | 2 | 0 | 84 | 28 | 37 | 16 | 6 | 93 | 24 | 34 | 51 | 10 | 2 | 20.00% | 17 | 3 | 82.35% | 1 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 63 | 35 | 66 | 29 | 55 | 27 | 77.8% | 10.7% | 94.6% | 105.3 | LUCKY | |
22 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 35 | 8 | 20 | 7 | 2 | 19 | 13 | 4 | 27 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 26 | 15 | 18 | 9 | 20 | 10 | 40.0% | 5.7% | 84.2% | 89.9 | Unlucky | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 58 | 21 | 18 | 19 | 0 | 56 | 18 | 18 | 42 | 6 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 44 | 25 | 40 | 17 | 35 | 17 | 33.3% | 3.4% | 92.9% | 96.3 | DULL | |
24 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 56 | 20 | 23 | 13 | 3 | 55 | 20 | 14 | 31 | 9 | 1 | 11.11% | 7 | 0 | 100.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 43 | 24 | 45 | 21 | 36 | 17 | 20.0% | 3.6% | 92.7% | 96.3 | DULL | |
25 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 2 | 1 | 59 | 21 | 18 | 19 | 1 | 53 | 5 | 20 | 46 | 6 | 1 | 16.67% | 10 | 2 | 80.00% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 45 | 25 | 39 | 18 | 35 | 17 | 42.9% | 6.8% | 88.7% | 95.5 | Unlucky | |
26 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 10 | -6 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 66 | 11 | 36 | 16 | 5 | 56 | 21 | 19 | 51 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 43 | 24 | 42 | 19 | 38 | 18 | 33.3% | 6.1% | 82.1% | 88.2 | Unlucky | |
27 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 1 | 1 | 60 | 21 | 19 | 16 | 10 | 45 | 15 | 22 | 47 | 3 | 1 | 33.33% | 11 | 2 | 81.82% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 46 | 25 | 41 | 21 | 42 | 18 | 57.1% | 8.3% | 88.9% | 97.2 | Unlucky | |
_Vs Division | 11 | 5 | 4 | 0 | 1 | 0 | 1 | 0 | 23 | 19 | 4 | 14 | 0.636 | 23 | 39 | 62 | 0 | 2 | 5 | 3 | 13 | 4 | 355 | 114 | 113 | 125 | 7 | 302 | 94 | 70 | 211 | 34 | 5 | 14.71% | 35 | 2 | 94.29% | 0 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 256 | 152 | 217 | 96 | 191 | 97 | 51.4% | 6.5% | 93.7% | 100.2 | DULL | |
_Vs Conference | 23 | 10 | 7 | 0 | 1 | 0 | 3 | 2 | 55 | 45 | 10 | 30 | 0.652 | 55 | 89 | 144 | 1 | 2 | 13 | 15 | 23 | 9 | 732 | 220 | 244 | 259 | 25 | 681 | 208 | 164 | 437 | 75 | 14 | 18.67% | 82 | 10 | 87.80% | 1 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 522 | 304 | 470 | 209 | 412 | 208 | 53.9% | 7.5% | 93.4% | 100.9 | DULL | |
_Since Last GM Reset | 42 | 16 | 13 | 0 | 1 | 0 | 5 | 7 | 98 | 94 | 4 | 51 | 0.607 | 98 | 165 | 263 | 3 | 4 | 23 | 37 | 32 | 12 | 1321 | 405 | 482 | 415 | 55 | 1220 | 373 | 293 | 834 | 132 | 25 | 18.94% | 144 | 20 | 86.11% | 1 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 943 | 544 | 870 | 393 | 767 | 381 | 49.7% | 7.4% | 92.3% | 99.7 | DULL | |
Total | 42 | 16 | 13 | 0 | 1 | 0 | 5 | 7 | 98 | 94 | 4 | 51 | 0.607 | 98 | 165 | 263 | 3 | 4 | 23 | 37 | 32 | 12 | 1321 | 405 | 482 | 415 | 55 | 1220 | 373 | 293 | 834 | 132 | 25 | 18.94% | 144 | 20 | 86.11% | 1 | 535 | 1004 | 53.29% | 495 | 956 | 51.78% | 270 | 541 | 49.91% | 943 | 544 | 870 | 393 | 767 | 381 | 49.7% | 7.4% | 92.3% | 99.7 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1004 |
Neutral Zone Start | 541 |
Defensive Zone Start | 956 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1300 |
Faceoffs Lost | 1201 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.6 | 9.57 |
2nd Period | 21.1 | 20.31 |
3rd Period | 31.0 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 69 |
---|---|
PP Goal | 25 |
PK Goal | 1 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 9 | 13 |
Lost | 7 | 6 |
Overtime Lost | 3 | 4 |
PP Attempt | 132 |
---|---|
PP Goal | 25 |
PK Attempt | 144 |
PK Goal Against | 20 |
Home | |
---|---|
Shots For | 31.5 |
Shots Against | 29.0 |
Goals For | 2.3 |
Goals Against | 2.2 |
Hits | 19.9 |
Shots Blocked | 8.9 |
Pim | 7.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-26 | @ | Blackhawks2,Flyers1 | RECAP | ||
2020-10-31 | @ | Devils2,Flyers1 | RECAP | ||
2020-11-03 | @ | Flyers2,Canucks1 | RECAP | ||
2020-11-06 | @ | Flyers3,Flames4 (SO) | RECAP | ||
2020-11-07 | @ | Flyers3,Oilers1 | RECAP | ||
2020-11-10 | @ | Stars4,Flyers3 (SO) | RECAP | ||
2020-11-12 | @ | Golden Knights2,Flyers1 (SO) | RECAP | ||
2020-11-15 | @ | Flyers1,Blackhawks2 (SO) | RECAP | ||
2020-11-17 | @ | Blue Jackets5,Flyers2 | RECAP | ||
2020-11-18 | @ | Flyers2,Islanders1 | RECAP | ||
2020-11-20 | @ | Flyers2,Penguins0 | RECAP | ||
2020-11-23 | @ | Flyers1,Devils2 | RECAP | ||
2020-11-24 | @ | Maple Leafs4,Flyers3 (SO) | RECAP | ||
2020-11-27 | @ | Hurricanes4,Flyers1 | RECAP | ||
2020-11-29 | @ | Canadiens2,Flyers3 | RECAP | ||
2020-12-01 | @ | Flyers3,Maple Leafs2 (SO) | RECAP | ||
2020-12-02 | @ | Flyers1,Bruins2 | RECAP | ||
2020-12-05 | @ | Capitals1,Flyers3 | RECAP | ||
2020-12-07 | @ | Flyers1,Senators2 (SO) | RECAP | ||
2020-12-08 | @ | Islanders0,Flyers2 | RECAP | ||
2020-12-11 | @ | Flyers4,Panthers1 | RECAP | ||
2020-12-13 | @ | Flyers3,Hurricanes2 (OT) | RECAP | ||
2020-12-15 | @ | Flames6,Flyers1 | RECAP | ||
2020-12-17 | @ | Canucks1,Flyers2 (SO) | RECAP | ||
2020-12-19 | @ | Flyers2,Blue Jackets1 (SO) | RECAP | ||
2020-12-21 | @ | Red Wings3,Flyers4 (SO) | RECAP | ||
2020-12-22 | @ | Flyers4,Canadiens3 | RECAP | ||
2020-12-25 | @ | Maple Leafs1,Flyers0 | RECAP | ||
2020-12-27 | @ | Coyotes0,Flyers3 | RECAP | ||
2020-12-29 | @ | Senators2,Flyers3 | RECAP | ||
2021-01-02 | @ | Flyers1,Avalanche4 | RECAP | ||
2021-01-05 | @ | Flyers2,Wild1 | RECAP | ||
2021-01-06 | @ | Flyers3,Jets4 | RECAP | ||
2021-01-08 | @ | Ducks0,Flyers3 | RECAP | ||
2021-01-10 | @ | Sabres3,Flyers1 | RECAP | ||
2021-01-12 | @ | Flyers5,Senators1 | RECAP | ||
2021-01-14 | @ | Rangers1,Flyers4 | RECAP | ||
2021-01-19 | @ | Flyers3,Sharks5 | RECAP | ||
2021-01-20 | @ | Flyers2,Ducks1 | RECAP | ||
2021-01-22 | @ | Flyers2,Kings3 (SO) | RECAP | ||
2021-01-24 | @ | Flyers4,Golden Knights3 (SO) | RECAP | ||
2021-01-26 | @ | Flyers3,Coyotes5 | RECAP | ||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,244,032$ | 0$ | 81,244,032$ | 255,968$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Wachovia 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 | 105943 | 88839 | 35535 | 72212 | 18164 |
Attendance PCT | 92.93% | 93.51% | 93.51% | 95.02% | 95.60% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
22 | 16879 - 93.77% | 606,805$ | 11,529,295$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,244,032$ | 81,244,032$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
41,868,819$ | 81,244,032$ | 41,868,819$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
13,349,710$ | 90 | 436,796$ | 39,311,640$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
39,311,640$ | 81,244,032$ | -344,825,761$ | -370,787,691$ |
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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2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo phi 2021 | |||||
2 ballo phi 2021 | |||||
Adam Edstrom | 2019 | 172 | |||
Aidan Muir | |||||
Akira Schmid | 2018 | 149 | |||
Al Montoya | Link | ||||
Ales Stezka | |||||
Alexander Belanger | |||||
Alexander Ljungkrantz | 2020 | 101 | |||
Anders Lindback | |||||
Andre Benoit | |||||
Anton Cederholm | |||||
Beau Starret | |||||
Ben Meehan | 2020 | 145 | |||
Benoit-Olivier Groulx | 2018 | 42 | |||
Brandon Gormley | |||||
Brandon Halverson | |||||
Brendan Ranford | |||||
Calen Addison | 2018 | 47 | |||
Casey Wellman | |||||
Colby Williams | |||||
Connor Crisp | |||||
Darren Archibald | |||||
Darren Dietz | |||||
David Booth | |||||
Dawson Barteaux | 2018 | 180 | |||
Drew Commesso | 2020 | 39 | |||
Drew Helleson | 2019 | 73 | |||
Duncan Siemens | |||||
Gabriel Fontaine | 2016 | 164 | |||
Gunnarwolfe Fontaine | 2020 | 194 | |||
Henrik Zetterberg | |||||
Hunter Smith | |||||
Ivan Chukarov | |||||
Jachym Kondelik | 2018 | 118 | |||
Jacob Leguerrier | 2019 | 110 | |||
Jaedon Descheneau | |||||
Jared Fiegl | |||||
Jeremiah Addison | |||||
Jeremy Swayman | |||||
Jesper Vikman | 2020 | 132 | |||
Jonathan Racine | |||||
Jordan Caron | |||||
Jordan Subban | |||||
Joren Van Pottelberghe | |||||
Keith Aucoin | |||||
Kyle Brodziak | Link | ||||
Logan Neaton | 2019 | 141 | |||
Mark Streit | |||||
Mason Shaw | |||||
Matt Brassard | |||||
Matteson Iacopelli | |||||
Matthew Berkovitz | |||||
Max Reinhart | |||||
Nathan Noel | 2016 | 104 | |||
Nikita Okhotyuk | 2019 | 79 | |||
Nikita Soshnikov | Link | ||||
Nolan Vesey | |||||
Parker Foo | |||||
Patrik Berglund | Link | ||||
Pavel Shen | 2018 | 211 | |||
Quinton Byfield | 2020 | 2 | |||
Remi Poirier | 2020 | 187 | |||
Rob KlinkHammer | |||||
Ryan Jones | |||||
Sam Henley | |||||
Samuel Bolduc | 2019 | 48 | |||
Samuel Morin | Link | ||||
Scott Hartnell | |||||
Sean Day | 2016 | 65 | |||
Shawn Thornton | |||||
Tanner Kaspick | 2016 | 134 | |||
Taylor Chorney | |||||
Vasily Ponomarev | 2020 | 67 | |||
justin hache | |||||
michael mckee |
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