|
|
|
|
|
|
Full Scoreboard »» |
Philadelphie Flyers 10-13-2, 22pts · 11th 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 | C/LW | 100.00 | 86 | 57 | 78 | 75 | 85 | 69 | 85 | 63 | 79 | 77 | 71 | 76 | 25 | 64 | 64 | 74 | 50 | 0 | 23 | 1,460,000$/2yrs | |||
![]() | 0 | RW | 99.00 | 69 | 42 | 89 | 90 | 65 | 87 | 93 | 91 | 25 | 93 | 87 | 75 | 48 | 72 | 74 | 86 | 50 | 0 | 25 | 10,903,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 75 | 86 | 82 | 88 | 67 | 69 | 68 | 49 | 69 | 70 | 63 | 75 | 69 | 70 | 70 | 50 | 0 | 28 | 5,700,000$/2yrs | |||
![]() | 0 | C/LW | 99.00 | 69 | 42 | 90 | 79 | 63 | 69 | 62 | 72 | 33 | 80 | 70 | 59 | 25 | 52 | 52 | 71 | 50 | 0 | 20 | 894,167$/2yrs | |||
![]() | 0 | C | 100.00 | 71 | 43 | 90 | 84 | 72 | 68 | 90 | 77 | 81 | 74 | 71 | 66 | 75 | 60 | 61 | 73 | 50 | 0 | 23 | 874,125$/1yrs | |||
![]() | 0 | LW | 100.00 | 82 | 43 | 90 | 70 | 61 | 76 | 90 | 75 | 25 | 64 | 88 | 77 | 25 | 47 | 47 | 80 | 50 | 0 | 23 | 825,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 61 | 41 | 92 | 81 | 73 | 68 | 93 | 58 | 38 | 68 | 70 | 77 | 75 | 63 | 63 | 72 | 50 | 0 | 24 | 2,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 41 | 96 | 82 | 70 | 62 | 78 | 69 | 37 | 72 | 64 | 60 | 25 | 61 | 61 | 67 | 53 | 0 | 23 | 900,000$/2yrs | |||
![]() | 0 | LW/RW | 99.00 | 67 | 41 | 89 | 90 | 63 | 76 | 95 | 83 | 33 | 79 | 74 | 65 | 80 | 60 | 60 | 76 | 50 | 0 | 20 | 925,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 41 | 91 | 87 | 69 | 76 | 90 | 74 | 59 | 78 | 71 | 75 | 70 | 72 | 76 | 74 | 50 | 0 | 28 | 5,400,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 93 | 91 | 68 | 74 | 81 | 56 | 79 | 59 | 36 | 64 | 71 | 63 | 25 | 57 | 57 | 69 | 53 | 0 | 23 | 750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 78 | 44 | 88 | 79 | 77 | 74 | 89 | 75 | 82 | 70 | 73 | 81 | 61 | 64 | 66 | 76 | 50 | 0 | 25 | 3,000,000$/5yrs | |||
![]() | 0 | D | 100.00 | 90 | 57 | 79 | 82 | 75 | 80 | 84 | 59 | 25 | 50 | 48 | 81 | 25 | 61 | 61 | 64 | 50 | 0 | 26 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 88 | 56 | 84 | 84 | 73 | 82 | 98 | 68 | 25 | 65 | 48 | 81 | 25 | 67 | 68 | 68 | 50 | 0 | 28 | 3,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 85 | 45 | 84 | 78 | 68 | 59 | 80 | 60 | 25 | 39 | 47 | 84 | 75 | 60 | 60 | 61 | 50 | 0 | 26 | 950,000$/3yrs | |||
![]() | 0 | D | 100.00 | 71 | 43 | 90 | 80 | 75 | 61 | 50 | 56 | 25 | 57 | 47 | 73 | 25 | 69 | 69 | 61 | 50 | 0 | 29 | 750,000$/1yrs | |||
![]() | 0 | D | 99.00 | 78 | 44 | 68 | 90 | 73 | 96 | 96 | 93 | 25 | 79 | 60 | 81 | 75 | 67 | 67 | 76 | 50 | 0 | 22 | 6,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 59 | 73 | 81 | 89 | 81 | 97 | 58 | 25 | 55 | 47 | 87 | 53 | 81 | 81 | 65 | 50 | 0 | 32 | 6,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 91 | 56 | 89 | 72 | 77 | 65 | 92 | 57 | 40 | 63 | 64 | 77 | 75 | 67 | 67 | 70 | 50 | 0 | 27 | 2,100,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 42 | 86 | 82 | 68 | 65 | 77 | 68 | 42 | 68 | 55 | 62 | 79 | 65 | 65 | 64 | 50 | 0 | 27 | 3,400,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 73 | 43 | 91 | 77 | 71 | 57 | 93 | 61 | 41 | 61 | 58 | 71 | 25 | 66 | 66 | 65 | 50 | 0 | 26 | 3,000,000$/1yrs | |||
TEAM AVERAGE | 99.81 | 76 | 50 | 85 | 81 | 73 | 71 | 85 | 69 | 40 | 68 | 64 | 73 | 51 | 64 | 65 | 71 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 76 | 57 | 58 | 71 | 81 | 70 | 91 | 73 | 80 | 75 | 60 | 64 | 65 | 75 | 50 | 0 | 33 | 2,000,000$/1yrs |
![]() | 0 | 100.00 | 67 | 67 | 66 | 78 | 73 | 61 | 73 | 66 | 69 | 67 | 59 | 59 | 59 | 68 | 50 | 0 | 29 | 2,750,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 60 | 64 | 61 | 76 | 65 | 54 | 69 | 61 | 65 | 60 | 75 | 46 | 46 | 62 | 50 | 0 | 25 | 792,500$/2yrs |
TEAM AVERAGE | 99.33 | 68 | 63 | 62 | 75 | 73 | 62 | 78 | 67 | 71 | 67 | 65 | 56 | 57 | 68 | 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 | 43 | 90 | 63 | 70 | 55 | 84 | 59 | 59 | 62 | 60 | 60 | 25 | 46 | 46 | 63 | 57 | 0 | 22 | 880,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 71 | 60 | 95 | 65 | 60 | 69 | 70 | 65 | 50 | 65 | 61 | 63 | 58 | 44 | 44 | 65 | 57 | 0 | 23 | 875,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 79 | 73 | 92 | 67 | 73 | 59 | 59 | 59 | 50 | 52 | 62 | 66 | 59 | 46 | 46 | 64 | 57 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 79 | 86 | 75 | 79 | 56 | 58 | 51 | 25 | 46 | 40 | 65 | 38 | 45 | 45 | 54 | 57 | 0 | 21 | 916,667$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 95 | 68 | 67 | 62 | 80 | 65 | 25 | 63 | 47 | 69 | 25 | 46 | 46 | 61 | 57 | 0 | 22 | 756,667$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 73 | 43 | 87 | 73 | 72 | 59 | 53 | 66 | 25 | 39 | 56 | 67 | 25 | 54 | 54 | 61 | 21 | 0 | 25 | 762,500$/2yrs |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 62 | 68 | 65 | 80 | 65 | 58 | 83 | 59 | 65 | 62 | 42 | 48 | 48 | 65 | 57 | 0 | 23 | 837,500$/2yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Marc-Andre Girard |
---|
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 | Mitchell Marner | 0 | RW | 25 | 10 | 14 | 24 | -3 | 2 | 0 | 30 | 112 | 30 | 61 | 8.93% | 17 | 19.80 | 2 | 3 | 5 | 52 | 0 | 0 | 0 | 0 | 0 | 1 | 31.43% | 35 | 24 | 12 | 0 | 1 | 0.97 | 1 | 1 | ||
2 | Rasmus Dahlin | 0 | D | 25 | 5 | 19 | 24 | 3 | 55 | 5 | 61 | 72 | 35 | 29 | 6.94% | 39 | 26.31 | 1 | 4 | 5 | 57 | 0 | 1 | 1 | 51 | 0 | 0 | 0.00% | 0 | 20 | 23 | 1 | 0 | 0.73 | 0 | 0 | ||
3 | Nicolas Roy | 0 | C/RW | 25 | 8 | 10 | 18 | 3 | 0 | 0 | 32 | 68 | 17 | 36 | 11.76% | 11 | 16.77 | 2 | 2 | 4 | 41 | 0 | 0 | 0 | 71 | 0 | 0 | 47.11% | 121 | 15 | 7 | 1 | 0 | 0.86 | 1 | 1 | ||
4 | Cole Perfetti | 0 | C/LW | 25 | 5 | 11 | 16 | -1 | 4 | 0 | 39 | 53 | 18 | 30 | 9.43% | 8 | 18.29 | 0 | 2 | 2 | 53 | 0 | 0 | 0 | 9 | 0 | 0 | 30.16% | 494 | 16 | 8 | 0 | 0 | 0.70 | 0 | 1 | ||
5 | Lucas Raymond | 0 | LW/RW | 25 | 11 | 5 | 16 | -5 | 9 | 5 | 38 | 73 | 20 | 51 | 15.07% | 11 | 19.51 | 5 | 1 | 6 | 52 | 0 | 0 | 0 | 0 | 4 | 0 | 28.12% | 32 | 16 | 8 | 0 | 0 | 0.66 | 0 | 1 | ||
6 | Cody Glass | 0 | C | 25 | 6 | 8 | 14 | -11 | 11 | 5 | 29 | 55 | 15 | 33 | 10.91% | 10 | 17.54 | 2 | 2 | 4 | 38 | 0 | 0 | 0 | 0 | 2 | 0 | 49.30% | 430 | 9 | 6 | 0 | 0 | 0.64 | 0 | 1 | ||
7 | Michael Rasmussen | 0 | C/LW | 25 | 3 | 9 | 12 | 5 | 6 | 0 | 32 | 45 | 13 | 21 | 6.67% | 10 | 14.56 | 0 | 2 | 2 | 20 | 0 | 1 | 1 | 48 | 1 | 0 | 48.97% | 145 | 6 | 2 | 0 | 0 | 0.66 | 0 | 0 | ||
8 | Teuvo Teravainen | 0 | LW/RW | 25 | 5 | 4 | 9 | -4 | 2 | 0 | 15 | 65 | 17 | 39 | 7.69% | 5 | 12.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 36.36% | 11 | 11 | 10 | 0 | 0 | 0.57 | 0 | 0 | ||
9 | Artem Zub | 0 | D | 25 | 1 | 6 | 7 | 3 | 26 | 10 | 39 | 29 | 12 | 6 | 3.45% | 34 | 24.47 | 0 | 1 | 1 | 37 | 0 | 0 | 0 | 26 | 0 | 1 | 0.00% | 0 | 1 | 31 | 0 | 0 | 0.23 | 0 | 0 | ||
10 | Rafael Harvey-Pinard | 0 | LW | 25 | 4 | 3 | 7 | 1 | 0 | 0 | 27 | 39 | 8 | 29 | 10.26% | 6 | 14.60 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 29 | 1 | 0 | 40.00% | 20 | 13 | 7 | 0 | 0 | 0.38 | 0 | 0 | ||
11 | Anthony Mantha | 0 | LW/RW | 25 | 3 | 3 | 6 | -4 | 9 | 5 | 17 | 35 | 9 | 20 | 8.57% | 1 | 9.71 | 0 | 0 | 0 | 2 | 1 | 0 | 1 | 23 | 0 | 0 | 36.92% | 65 | 12 | 4 | 0 | 0 | 0.49 | 0 | 2 | ||
12 | Klim Kostin | 0 | LW/RW | 25 | 1 | 4 | 5 | -5 | 16 | 0 | 39 | 19 | 7 | 10 | 5.26% | 4 | 8.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 7 | 3 | 0 | 0 | 0.49 | 0 | 0 | ||
13 | Yegor Sharangovich | 0 | C/LW/RW | 25 | 0 | 4 | 4 | -4 | 0 | 0 | 16 | 28 | 7 | 22 | 0.00% | 14 | 15.85 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 70 | 0 | 0 | 33.33% | 24 | 6 | 9 | 0 | 0 | 0.20 | 1 | 1 | ||
14 | Dysin Mayo | 0 | D | 25 | 0 | 4 | 4 | -5 | 2 | 0 | 23 | 12 | 8 | 5 | 0.00% | 23 | 15.66 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 62 | 0 | 0 | 0.00% | 0 | 2 | 18 | 0 | 0 | 0.20 | 0 | 1 | ||
15 | MacKenzie Weegar | 0 | D | 25 | 0 | 3 | 3 | -7 | 31 | 5 | 28 | 21 | 7 | 8 | 0.00% | 26 | 20.69 | 0 | 2 | 2 | 58 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 9 | 14 | 0 | 0 | 0.12 | 0 | 1 | ||
16 | Emil Bemstrom | 0 | LW/RW | 25 | 2 | 1 | 3 | -5 | 5 | 5 | 9 | 35 | 9 | 13 | 5.71% | 2 | 8.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 4 | 3 | 0 | 0 | 0.29 | 0 | 0 | ||
17 | Tyler Myers | 0 | D | 25 | 0 | 2 | 2 | -5 | 18 | 0 | 32 | 16 | 11 | 6 | 0.00% | 27 | 20.81 | 0 | 1 | 1 | 35 | 0 | 0 | 0 | 69 | 0 | 0 | 0.00% | 0 | 2 | 18 | 0 | 0 | 0.08 | 0 | 0 | ||
18 | Ryan Murray | 0 | D | 25 | 0 | 0 | 0 | -6 | 8 | 0 | 12 | 7 | 3 | 3 | 0.00% | 13 | 12.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 17 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 450 | 64 | 110 | 174 | -50 | 204 | 40 | 518 | 784 | 246 | 422 | 8.16% | 261 | 16.46 | 12 | 20 | 32 | 484 | 1 | 2 | 3 | 506 | 9 | 2 | 40.07% | 1385 | 174 | 200 | 2 | 1 | 0.47 | 3 | 10 |
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 | Antti Raanta | 22 | 9 | 9 | 2 | 0.916 | 2.67 | 1279 | 2 | 2 | 57 | 681 | 358 | 2 | 1 | 0.000 | 0 | 20 | 5 | 3 | 0 | 2 | |
2 | Anton Forsberg | 5 | 1 | 4 | 0 | 0.852 | 5.22 | 230 | 0 | 0 | 20 | 135 | 81 | 0 | 1 | 0.714 | 7 | 5 | 20 | 0 | 0 | 0 | |
Team Total or Average | 27 | 10 | 13 | 2 | 0.906 | 3.06 | 1509 | 2 | 2 | 77 | 816 | 439 | 2 | 2 | 0.714 | 7 | 25 | 25 | 3 | 0 | 2 |
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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 2 | 0.500 | 9 | 15 | 24 | 0 | 1 | 1 | 6 | 2 | 0 | 67 | 22 | 26 | 19 | 0 | 59 | 19 | 27 | 37 | 4 | 3 | 75.00% | 6 | 1 | 83.33% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 42 | 24 | 40 | 20 | 37 | 16 | 60.0% | 13.4% | 91.5% | 105.0 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 40 | 13 | 17 | 10 | 0 | 29 | 12 | 4 | 21 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 21 | 11 | 20 | 9 | 17 | 9 | 20.0% | 5.0% | 86.2% | 91.2 | Unlucky | |
3 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 0 | 3 | 0 | 0 | 60 | 17 | 25 | 17 | 1 | 65 | 16 | 22 | 45 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 42 | 24 | 43 | 18 | 37 | 18 | 33.3% | 5.0% | 90.8% | 95.8 | Unlucky | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 17 | 6 | 5 | 6 | 0 | 36 | 12 | 12 | 26 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 18 | 9 | 24 | 9 | 16 | 8 | 50.0% | 5.9% | 91.7% | 97.5 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 25 | 3 | 7 | 15 | 0 | 41 | 10 | 12 | 11 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 16 | 8 | 26 | 10 | 16 | 6 | 66.7% | 8.0% | 97.6% | 105.6 | DULL | |
6 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 0 | 2 | 2 | 3 | 32 | 9 | 10 | 11 | 9 | 42 | 14 | 8 | 22 | 0 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 21 | 12 | 24 | 9 | 19 | 9 | 62.5% | 15.6% | 90.5% | 106.1 | FUN | |
7 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.333 | 6 | 9 | 15 | 0 | 0 | 2 | 1 | 2 | 1 | 101 | 24 | 40 | 36 | 1 | 101 | 37 | 32 | 65 | 13 | 2 | 15.38% | 6 | 2 | 66.67% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 60 | 31 | 66 | 27 | 53 | 27 | 36.4% | 5.9% | 91.1% | 97.0 | Unlucky | |
8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 2 | 1 | 0 | 0 | 62 | 26 | 23 | 13 | 0 | 64 | 19 | 6 | 42 | 5 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 41 | 24 | 43 | 18 | 35 | 16 | 25.0% | 4.8% | 82.8% | 87.7 | Unlucky | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 1 | 1 | 2 | 0 | 58 | 19 | 18 | 21 | 0 | 68 | 23 | 12 | 30 | 3 | 1 | 33.33% | 7 | 1 | 85.71% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 39 | 23 | 49 | 17 | 31 | 14 | 30.0% | 6.9% | 88.2% | 95.1 | Unlucky | |
10 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 0 | 3 | 1 | 30 | 15 | 6 | 8 | 1 | 36 | 12 | 8 | 29 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 21 | 11 | 21 | 8 | 17 | 9 | 66.7% | 13.3% | 91.7% | 105.0 | LUCKY | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 11 | 15 | 8 | 0 | 32 | 11 | 2 | 22 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 22 | 13 | 20 | 8 | 17 | 8 | 16.7% | 2.9% | 84.4% | 87.3 | Unlucky | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 31 | 7 | 12 | 12 | 0 | 31 | 11 | 11 | 19 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 21 | 12 | 20 | 8 | 18 | 9 | 25.0% | 6.5% | 87.1% | 93.5 | Unlucky | |
13 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 69 | 22 | 23 | 24 | 0 | 73 | 18 | 18 | 32 | 2 | 2 | 100.00% | 9 | 2 | 77.78% | 1 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 37 | 22 | 50 | 19 | 34 | 14 | 55.6% | 10.1% | 91.8% | 101.9 | LUCKY | |
14 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 2 | 3 | 3 | 0 | 60 | 19 | 19 | 22 | 0 | 77 | 22 | 12 | 44 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 39 | 23 | 46 | 17 | 33 | 16 | 66.7% | 13.3% | 94.8% | 108.1 | LUCKY | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 29 | 14 | 5 | 10 | 0 | 30 | 8 | 12 | 24 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 20 | 11 | 20 | 9 | 18 | 9 | 50.0% | 3.4% | 90.0% | 93.4 | Unlucky | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 1 | 3 | 2 | 2 | 0 | 69 | 22 | 27 | 20 | 0 | 34 | 17 | 8 | 49 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 48 | 27 | 32 | 18 | 39 | 19 | 77.8% | 10.1% | 91.2% | 101.3 | LUCKY | |
_Vs Division | 11 | 3 | 4 | 0 | 1 | 2 | 1 | 0 | 30 | 32 | -2 | 12 | 0.545 | 30 | 49 | 79 | 0 | 0 | 7 | 11 | 10 | 4 | 339 | 97 | 122 | 116 | 11 | 394 | 119 | 104 | 234 | 24 | 6 | 25.00% | 39 | 8 | 79.49% | 1 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 219 | 123 | 255 | 101 | 195 | 95 | 50.0% | 8.8% | 91.9% | 100.7 | DULL | |
_Vs Conference | 14 | 3 | 7 | 0 | 1 | 2 | 1 | 0 | 34 | 48 | -14 | 12 | 0.429 | 34 | 56 | 90 | 1 | 0 | 9 | 13 | 10 | 4 | 435 | 134 | 160 | 137 | 11 | 490 | 149 | 112 | 298 | 33 | 6 | 18.18% | 43 | 10 | 76.74% | 1 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 283 | 160 | 319 | 128 | 248 | 120 | 42.4% | 7.8% | 90.2% | 98.0 | Unlucky | |
_Since Last GM Reset | 25 | 7 | 13 | 0 | 2 | 2 | 1 | 0 | 65 | 79 | -14 | 22 | 0.440 | 65 | 110 | 175 | 2 | 2 | 16 | 25 | 21 | 5 | 784 | 249 | 278 | 252 | 12 | 818 | 261 | 206 | 518 | 59 | 12 | 20.34% | 81 | 17 | 79.01% | 1 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 514 | 292 | 551 | 230 | 446 | 216 | 46.1% | 8.3% | 90.3% | 98.6 | Unlucky | |
Total | 25 | 7 | 13 | 0 | 2 | 2 | 1 | 0 | 65 | 79 | -14 | 22 | 0.440 | 65 | 110 | 175 | 2 | 2 | 16 | 25 | 21 | 5 | 784 | 249 | 278 | 252 | 12 | 818 | 261 | 206 | 518 | 59 | 12 | 20.34% | 81 | 17 | 79.01% | 1 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 514 | 292 | 551 | 230 | 446 | 216 | 46.1% | 8.3% | 90.3% | 98.6 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 487 |
Neutral Zone Start | 354 |
Defensive Zone Start | 534 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 555 |
Faceoffs Lost | 820 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 21.1 | 20.31 |
3rd Period | 31.2 | 30.68 |
Overtime | 31.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 50 |
---|---|
PP Goal | 12 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 7 | 3 |
Lost | 6 | 7 |
Overtime Lost | 0 | 2 |
PP Attempt | 59 |
---|---|
PP Goal | 12 |
PK Attempt | 81 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 31.4 |
Shots Against | 32.7 |
Goals For | 2.6 |
Goals Against | 3.2 |
Hits | 20.7 |
Shots Blocked | 10.4 |
Pim | 8.2 |
Projected Total Cap Hit | 67,123,792$ |
Projected Cap Space | 15,376,208$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 19,577,768$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Flyers Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Erne ![]() | LW/RW | 27 | 2,100,000$ | 2,100,000$ | |||||||
Andreas Johnsson ![]() | LW/RW | 27 | 3,400,000$ | 3,400,000$ | |||||||
Anthony Mantha ![]() | LW/RW | 28 | 5,700,000$ | 5,700,000$ | 5,700,000$ | ||||||
Anton Forsberg ![]() | G | 29 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | |||||
Antti Raanta ![]() | G | 33 | 2,000,000$ | 2,000,000$ | |||||||
Artem Zub ![]() | D | 26 | 2,500,000$ | 2,500,000$ | |||||||
Cody Glass ![]() | C | 23 | 874,125$ | 874,125$ | |||||||
Cole Perfetti ![]() | C/LW | 20 | 894,167$ | 894,167$ | 894,167$ | ||||||
Dysin Mayo ![]() | D | 26 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
Emil Bemstrom ![]() | LW/RW | 23 | 900,000$ | 900,000$ | 900,000$ | ||||||
Felix Sandstrom ![]() | G | 25 | 792,500$ | 792,500$ | 792,500$ | ||||||
Klim Kostin ![]() | LW/RW | 23 | 750,000$ | 750,000$ | |||||||
Lucas Raymond ![]() | LW/RW | 20 | 925,000$ | 925,000$ | 925,000$ | ||||||
MacKenzie Weegar ![]() | D | 28 | 3,250,000$ | 3,250,000$ | |||||||
Michael Rasmussen ![]() | C/LW | 23 | 1,460,000$ | 1,460,000$ | 1,460,000$ | ||||||
Mitchell Marner ![]() | RW | 25 | 10,903,000$ | 10,903,000$ | 10,903,000$ | 10,903,000$ | |||||
Nicolas Roy ![]() | C/RW | 25 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||
Oskar Lindblom ![]() | LW | 26 | 3,000,000$ | 3,000,000$ | |||||||
Rafael Harvey-Pinard ![]() | LW | 23 | 825,000$ | 825,000$ | |||||||
Rasmus Dahlin ![]() | D | 22 | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||||
Ryan Murray ![]() | D | 29 | 750,000$ | 750,000$ | |||||||
Teuvo Teravainen ![]() | LW/RW | 28 | 5,400,000$ | 5,400,000$ | 5,400,000$ | ||||||
Tyler Myers ![]() | D | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||||
Yegor Sharangovich ![]() | C/LW/RW | 24 | 2,000,000$ | 2,000,000$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 2 | 0.500 | 9 | 15 | 24 | 0 | 1 | 1 | 6 | 2 | 0 | 67 | 22 | 26 | 19 | 0 | 59 | 19 | 27 | 37 | 4 | 3 | 75.00% | 6 | 1 | 83.33% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 42 | 24 | 40 | 20 | 37 | 16 | 60.0% | 13.4% | 91.5% | 105.0 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 40 | 13 | 17 | 10 | 0 | 29 | 12 | 4 | 21 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 21 | 11 | 20 | 9 | 17 | 9 | 20.0% | 5.0% | 86.2% | 91.2 | Unlucky | |
3 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 0 | 3 | 0 | 0 | 60 | 17 | 25 | 17 | 1 | 65 | 16 | 22 | 45 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 42 | 24 | 43 | 18 | 37 | 18 | 33.3% | 5.0% | 90.8% | 95.8 | Unlucky | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 17 | 6 | 5 | 6 | 0 | 36 | 12 | 12 | 26 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 18 | 9 | 24 | 9 | 16 | 8 | 50.0% | 5.9% | 91.7% | 97.5 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 25 | 3 | 7 | 15 | 0 | 41 | 10 | 12 | 11 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 16 | 8 | 26 | 10 | 16 | 6 | 66.7% | 8.0% | 97.6% | 105.6 | DULL | |
6 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 0 | 2 | 2 | 3 | 32 | 9 | 10 | 11 | 9 | 42 | 14 | 8 | 22 | 0 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 21 | 12 | 24 | 9 | 19 | 9 | 62.5% | 15.6% | 90.5% | 106.1 | FUN | |
7 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.333 | 6 | 9 | 15 | 0 | 0 | 2 | 1 | 2 | 1 | 101 | 24 | 40 | 36 | 1 | 101 | 37 | 32 | 65 | 13 | 2 | 15.38% | 6 | 2 | 66.67% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 60 | 31 | 66 | 27 | 53 | 27 | 36.4% | 5.9% | 91.1% | 97.0 | Unlucky | |
8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 2 | 1 | 0 | 0 | 62 | 26 | 23 | 13 | 0 | 64 | 19 | 6 | 42 | 5 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 41 | 24 | 43 | 18 | 35 | 16 | 25.0% | 4.8% | 82.8% | 87.7 | Unlucky | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 1 | 1 | 2 | 0 | 58 | 19 | 18 | 21 | 0 | 68 | 23 | 12 | 30 | 3 | 1 | 33.33% | 7 | 1 | 85.71% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 39 | 23 | 49 | 17 | 31 | 14 | 30.0% | 6.9% | 88.2% | 95.1 | Unlucky | |
10 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 0 | 3 | 1 | 30 | 15 | 6 | 8 | 1 | 36 | 12 | 8 | 29 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 21 | 11 | 21 | 8 | 17 | 9 | 66.7% | 13.3% | 91.7% | 105.0 | LUCKY | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 11 | 15 | 8 | 0 | 32 | 11 | 2 | 22 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 22 | 13 | 20 | 8 | 17 | 8 | 16.7% | 2.9% | 84.4% | 87.3 | Unlucky | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 31 | 7 | 12 | 12 | 0 | 31 | 11 | 11 | 19 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 21 | 12 | 20 | 8 | 18 | 9 | 25.0% | 6.5% | 87.1% | 93.5 | Unlucky | |
13 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 69 | 22 | 23 | 24 | 0 | 73 | 18 | 18 | 32 | 2 | 2 | 100.00% | 9 | 2 | 77.78% | 1 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 37 | 22 | 50 | 19 | 34 | 14 | 55.6% | 10.1% | 91.8% | 101.9 | LUCKY | |
14 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 2 | 3 | 3 | 0 | 60 | 19 | 19 | 22 | 0 | 77 | 22 | 12 | 44 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 39 | 23 | 46 | 17 | 33 | 16 | 66.7% | 13.3% | 94.8% | 108.1 | LUCKY | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 29 | 14 | 5 | 10 | 0 | 30 | 8 | 12 | 24 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 20 | 11 | 20 | 9 | 18 | 9 | 50.0% | 3.4% | 90.0% | 93.4 | Unlucky | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 1 | 3 | 2 | 2 | 0 | 69 | 22 | 27 | 20 | 0 | 34 | 17 | 8 | 49 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 48 | 27 | 32 | 18 | 39 | 19 | 77.8% | 10.1% | 91.2% | 101.3 | LUCKY | |
_Vs Division | 11 | 3 | 4 | 0 | 1 | 2 | 1 | 0 | 30 | 32 | -2 | 12 | 0.545 | 30 | 49 | 79 | 0 | 0 | 7 | 11 | 10 | 4 | 339 | 97 | 122 | 116 | 11 | 394 | 119 | 104 | 234 | 24 | 6 | 25.00% | 39 | 8 | 79.49% | 1 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 219 | 123 | 255 | 101 | 195 | 95 | 50.0% | 8.8% | 91.9% | 100.7 | DULL | |
_Vs Conference | 14 | 3 | 7 | 0 | 1 | 2 | 1 | 0 | 34 | 48 | -14 | 12 | 0.429 | 34 | 56 | 90 | 1 | 0 | 9 | 13 | 10 | 4 | 435 | 134 | 160 | 137 | 11 | 490 | 149 | 112 | 298 | 33 | 6 | 18.18% | 43 | 10 | 76.74% | 1 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 283 | 160 | 319 | 128 | 248 | 120 | 42.4% | 7.8% | 90.2% | 98.0 | Unlucky | |
_Since Last GM Reset | 25 | 7 | 13 | 0 | 2 | 2 | 1 | 0 | 65 | 79 | -14 | 22 | 0.440 | 65 | 110 | 175 | 2 | 2 | 16 | 25 | 21 | 5 | 784 | 249 | 278 | 252 | 12 | 818 | 261 | 206 | 518 | 59 | 12 | 20.34% | 81 | 17 | 79.01% | 1 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 514 | 292 | 551 | 230 | 446 | 216 | 46.1% | 8.3% | 90.3% | 98.6 | Unlucky | |
Total | 25 | 7 | 13 | 0 | 2 | 2 | 1 | 0 | 65 | 79 | -14 | 22 | 0.440 | 65 | 110 | 175 | 2 | 2 | 16 | 25 | 21 | 5 | 784 | 249 | 278 | 252 | 12 | 818 | 261 | 206 | 518 | 59 | 12 | 20.34% | 81 | 17 | 79.01% | 1 | 185 | 487 | 37.99% | 222 | 534 | 41.57% | 148 | 354 | 41.81% | 514 | 292 | 551 | 230 | 446 | 216 | 46.1% | 8.3% | 90.3% | 98.6 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 487 |
Neutral Zone Start | 354 |
Defensive Zone Start | 534 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 555 |
Faceoffs Lost | 820 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 21.1 | 20.31 |
3rd Period | 31.2 | 30.68 |
Overtime | 31.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 50 |
---|---|
PP Goal | 12 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 7 | 3 |
Lost | 6 | 7 |
Overtime Lost | 0 | 2 |
PP Attempt | 59 |
---|---|
PP Goal | 12 |
PK Attempt | 81 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 31.4 |
Shots Against | 32.7 |
Goals For | 2.6 |
Goals Against | 3.2 |
Hits | 20.7 |
Shots Blocked | 10.4 |
Pim | 8.2 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-10-08 | @ | Flyers4,Blue Jackets2 | RECAP | ||
2023-10-10 | @ | Flyers1,Senators5 | RECAP | ||
2023-10-13 | @ | Canucks1,Flyers2 | RECAP | ||
2023-10-15 | @ | Oilers3,Flyers4 (OT) | RECAP | ||
2023-10-17 | @ | Flyers2,Stars4 | RECAP | ||
2023-10-20 | @ | Flyers2,Golden Knights0 | RECAP | ||
2023-10-22 | @ | Wild3,Flyers1 | RECAP | ||
2023-10-24 | @ | Ducks0,Flyers6 | RECAP | ||
2023-10-26 | @ | Hurricanes2,Flyers3 (OT) | RECAP | ||
2023-10-28 | @ | Sabres7,Flyers1 | RECAP | ||
2023-10-30 | @ | Flyers2,Sabres4 | RECAP | ||
2023-10-31 | @ | Kings3,Flyers1 | RECAP | ||
2023-11-03 | @ | Flyers2,Sharks4 | RECAP | ||
2023-11-06 | @ | Flyers3,Ducks5 | RECAP | ||
2023-11-07 | @ | Flyers3,Kings5 | RECAP | ||
2023-11-11 | @ | Flyers1,Hurricanes2 | RECAP | ||
2023-11-14 | @ | Golden Knights3,Flyers5 | RECAP | ||
2023-11-15 | @ | Blue Jackets2,Flyers4 | RECAP | ||
2023-11-18 | @ | Flyers4,Islanders2 | RECAP | ||
2023-11-20 | @ | Rangers3,Flyers1 | RECAP | ||
2023-11-21 | @ | Flyers3,Islanders4 (OT) | RECAP | ||
2023-11-24 | @ | Hurricanes5,Flyers2 | RECAP | ||
2023-11-26 | @ | Devils4,Flyers5 (SO) | RECAP | ||
2023-11-28 | @ | Flyers2,Penguins3 (OT) | RECAP | ||
2023-11-30 | @ | Penguins3,Flyers1 | RECAP | ||
2023-12-03 | @ | ||||
2023-12-05 | @ | ||||
2023-12-08 | @ | ||||
2023-12-10 | @ | ||||
2023-12-12 | @ | ||||
2023-12-15 | @ | ||||
2023-12-17 | @ | ||||
2023-12-18 | @ | ||||
2023-12-24 | @ | ||||
2023-12-25 | @ | ||||
2023-12-27 | @ | ||||
2023-12-29 | @ | ||||
2023-12-31 | @ | ||||
2024-01-02 | @ | ||||
2024-01-04 | @ | ||||
2024-01-06 | @ | ||||
2024-01-08 | @ | ||||
2024-01-09 | @ | ||||
2024-01-11 | @ | ||||
2024-01-14 | @ | ||||
2024-01-16 | @ | ||||
2024-01-17 | @ | ||||
2024-01-19 | @ | ||||
2024-01-21 | @ | ||||
2024-01-23 | @ | ||||
2024-02-02 | @ | ||||
2024-02-04 | @ | ||||
2024-02-06 | @ | ||||
2024-02-08 | @ | ||||
2024-02-11 | @ | ||||
2024-02-13 | @ | ||||
2024-02-17 | @ | ||||
2024-02-20 | @ | ||||
2024-02-21 | @ | ||||
2024-02-23 | @ | ||||
2024-02-26 | @ | ||||
2024-02-27 | @ | ||||
2024-02-29 | @ | ||||
2024-03-03 | @ | ||||
2024-03-05 | @ | ||||
2024-03-08 | @ | ||||
2024-03-10 | @ | ||||
2024-03-12 | @ | ||||
2024-03-15 | @ | ||||
2024-03-17 | @ | ||||
2024-03-19 | @ | ||||
2024-03-20 | @ | ||||
2024-03-22 | @ | ||||
2024-03-24 | @ | ||||
2024-03-26 | @ | ||||
2024-03-28 | @ | ||||
2024-04-01 | @ | ||||
2024-04-02 | @ | ||||
2024-04-05 | @ | ||||
2024-04-07 | @ | ||||
2024-04-09 | @ | ||||
2024-04-12 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
67,123,792$ | 0$ | 67,123,792$ | 15,376,208$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Wells Fargo Center | |
City | Philadelphie | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 73898 | 61784 | 24379 | 49889 | 12329 |
Attendance PCT | 94.74% | 95.05% | 93.77% | 95.94% | 94.84% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
28 | 17098 - 94.99% | 604,691$ | 7,860,978$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
67,123,792$ | 67,123,792$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
19,577,768$ | 67,123,792$ | 19,577,768$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
16,931,337$ | 136 | 349,603$ | 47,546,008$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
50,945,048$ | 67,123,792$ | -495,874,249$ | -529,887,960$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 2024 | |||||
Alex Kannok-Leipert | 2018 | 172 | |||
Cooper Moore | 2019 | 147 | |||
Daniil Chayka | 2021 | 43 | |||
Daniil Pylenkov | 2021 | 203 | |||
Drew Cammesso | 2020 | 45 | |||
Easton Cowan | 2023 | 30 | |||
Isaac Ratcliffe | 2017 | 30 | Link | ||
Jakub Demek | 2021 | 139 | |||
Jordan Gustafson | 2022 | 89 | |||
Josh Nodler | 2019 | 163 | |||
Joshua Bloom | 2021 | 109 | |||
Leo Carlsson | 2023 | 3 | |||
Marco Kasper | 2022 | 7 | |||
Nate Danielson | 2023 | 10 | |||
Nico Myatovic | 2023 | 42 | |||
Patrik Puistola | 2019 | 56 | |||
Quinn Schmiemann | 2019 | 194 | |||
Rasmus Larsson | 2023 | 160 | |||
Riley Kidney | 2021 | 63 | |||
Ryan Conmy | 2023 | 193 | |||
Sam Rinzel | 2022 | 30 | |||
Santeri Airola | 2019 | 214 | |||
Tanner Molendyk | 2023 | 33 | |||
Topi Ronni | 2022 | 72 | |||
Vadim Moroz | 2023 | 97 | |||
Viktor Hurtig | 2021 | 171 | |||
Zakary Karpa | 2022 | 199 |
|