|
Full Scoreboard »» |
|
Full Scoreboard »» |
Philadelphia Flyers 7-7-0, 14pts · 1st in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 93 | C | 100.00 | 66 | 33 | 91 | 87 | 80 | 88 | 90 | 84 | 87 | 86 | 87 | 84 | 85 | 77 | 86 | 0 | 78 | 94 | 30 | 8,500,000$/6yrs | |||
![]() | 91 | C/LW/RW | 100.00 | 72 | 32 | 82 | 91 | 71 | 87 | 90 | 85 | 84 | 88 | 86 | 68 | 86 | 82 | 99 | 0 | 78 | 94 | 33 | 8,500,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 34 | 88 | 83 | 89 | 84 | 90 | 79 | 85 | 74 | 86 | 93 | 82 | 73 | 71 | 0 | 78 | 91 | 28 | 3,150,000$/7yrs | |||
![]() | 17 | LW/RW | 100.00 | 69 | 34 | 77 | 77 | 77 | 85 | 90 | 78 | 57 | 80 | 79 | 77 | 79 | 83 | 89 | 0 | 78 | 88 | 33 | 4,450,000$/1yrs | |||
![]() | 71 | C/RW | 100.00 | 67 | 38 | 74 | 76 | 74 | 85 | 86 | 76 | 84 | 76 | 73 | 90 | 74 | 69 | 66 | 0 | 78 | 86 | 25 | 5,500,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 32 | 89 | 73 | 70 | 85 | 86 | 75 | 60 | 78 | 74 | 82 | 74 | 83 | 88 | 0 | 52 | 86 | 33 | 5,500,000$/1yrs | |||
![]() | 27 | LW/RW | 100.00 | 71 | 34 | 61 | 76 | 75 | 81 | 90 | 79 | 60 | 79 | 78 | 63 | 78 | 72 | 68 | 0 | 78 | 85 | 27 | 950,000$/1yrs | |||
![]() | 69 | C/RW | 100.00 | 81 | 34 | 84 | 70 | 87 | 82 | 90 | 69 | 84 | 68 | 74 | 83 | 72 | 77 | 76 | 0 | 78 | 84 | 30 | 1,000,000$/1yrs | |||
![]() | 18 | LW/RW | 100.00 | 77 | 33 | 92 | 73 | 75 | 82 | 85 | 73 | 56 | 77 | 73 | 71 | 73 | 80 | 88 | 0 | 78 | 84 | 32 | 5,500,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 73 | 33 | 87 | 67 | 80 | 82 | 90 | 68 | 80 | 74 | 67 | 92 | 68 | 72 | 71 | 0 | 78 | 83 | 27 | 2,250,000$/5yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 33 | 96 | 71 | 80 | 83 | 90 | 74 | 60 | 76 | 75 | 66 | 75 | 80 | 80 | 0 | 78 | 83 | 32 | 1,200,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 75 | 33 | 91 | 70 | 84 | 80 | 90 | 68 | 57 | 69 | 70 | 79 | 69 | 69 | 68 | 0 | 56 | 81 | 26 | 1,000,000$/2yrs | |||
![]() | 59 | D | 100.00 | 67 | 33 | 81 | 81 | 79 | 98 | 88 | 80 | 30 | 90 | 80 | 81 | 80 | 82 | 96 | 0 | 78 | 93 | 32 | 9,000,000$/6yrs | |||
![]() | 23 | D | 100.00 | 59 | 32 | 87 | 85 | 70 | 96 | 90 | 82 | 30 | 89 | 71 | 91 | 76 | 68 | 67 | 0 | 79 | 93 | 25 | 9,500,000$/7yrs | |||
![]() | 6 | D | 100.00 | 83 | 34 | 91 | 60 | 90 | 84 | 87 | 71 | 30 | 69 | 62 | 91 | 66 | 85 | 84 | 0 | 78 | 85 | 35 | 6,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 33 | 91 | 64 | 83 | 90 | 90 | 70 | 30 | 72 | 60 | 86 | 65 | 75 | 74 | 0 | 78 | 84 | 29 | 3,750,000$/4yrs | |||
![]() | 46 | D | 100.00 | 65 | 37 | 75 | 69 | 85 | 88 | 85 | 68 | 30 | 67 | 71 | 90 | 69 | 71 | 69 | 0 | 79 | 84 | 27 | 750,000$/5yrs | |||
![]() | 2 | D | 100.00 | 99 | 58 | 64 | 61 | 88 | 83 | 86 | 68 | 30 | 71 | 63 | 83 | 66 | 82 | 78 | 0 | 72 | 84 | 33 | 1,250,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 72 | 35 | 83 | 74 | 80 | 86 | 89 | 75 | 57 | 77 | 74 | 82 | 74 | 77 | 79 | 0 | 75 | 87 |
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 | 95 | 95 | 85 | 85 | 93 | 85 | 93 | 95 | 90 | 96 | 93 | 76 | 81 | 0 | 74 | 93 | 30 | 6,166,666$/2yrs |
![]() | 0 | 100.00 | 76 | 79 | 74 | 88 | 86 | 80 | 86 | 90 | 84 | 91 | 86 | 71 | 75 | 0 | 78 | 86 | 27 | 1,500,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 86 | 87 | 80 | 87 | 90 | 83 | 90 | 93 | 87 | 94 | 90 | 74 | 78 | 0 | 76 | 90 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Darryl Sutter | 80 | 87 | 91 | 78 | 99 | 90 | 87 | CAN | 62 | 2 | 1,000,000$ |
General Manager | Pierre-Etienne Jobin |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mika Zibanejad | 93 | C | 14 | 8 | 9 | 17 | -1 | 7 | 5 | 12 | 66 | 18 | 44 | 12.12% | 2 | 21.57 | 1 | 5 | 6 | 52 | 0 | 0 | 0 | 9 | 2 | 0 | 56.52% | 414 | 0 | 0 | 0 | 0 | 1.13 | 0 | 0 | |
2 | Steven Stamkos | 91 | C/LW/RW | 14 | 6 | 7 | 13 | -1 | 14 | 0 | 36 | 56 | 11 | 21 | 10.71% | 0 | 20.68 | 1 | 3 | 4 | 52 | 0 | 0 | 0 | 0 | 1 | 1 | 47.83% | 23 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 | |
3 | Adam Fox | 23 | D | 14 | 4 | 8 | 12 | 4 | 0 | 0 | 12 | 21 | 8 | 8 | 19.05% | 19 | 24.93 | 3 | 2 | 5 | 55 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
4 | Roman Josi | 59 | D | 14 | 2 | 8 | 10 | 2 | 6 | 0 | 7 | 31 | 15 | 21 | 6.45% | 15 | 22.21 | 1 | 3 | 4 | 55 | 0 | 1 | 1 | 6 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
5 | Anthony Cirelli | 71 | C/RW | 14 | 3 | 5 | 8 | 2 | 12 | 0 | 13 | 39 | 7 | 24 | 7.69% | 2 | 17.97 | 1 | 1 | 2 | 42 | 1 | 0 | 1 | 37 | 1 | 0 | 56.27% | 343 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
6 | Christian Fischer | 0 | C/LW/RW | 14 | 3 | 3 | 6 | 3 | 2 | 0 | 6 | 17 | 3 | 7 | 17.65% | 1 | 7.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 1 | 77.78% | 9 | 0 | 0 | 0 | 0 | 1.09 | 0 | 0 | |
7 | Cody Ceci | 0 | D | 14 | 0 | 6 | 6 | 6 | 10 | 0 | 34 | 18 | 6 | 9 | 0.00% | 8 | 23.05 | 0 | 1 | 1 | 39 | 0 | 0 | 0 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
8 | Alex Killorn | 17 | LW/RW | 14 | 2 | 3 | 5 | 1 | 4 | 0 | 16 | 32 | 11 | 33 | 6.25% | 0 | 15.77 | 0 | 2 | 2 | 42 | 0 | 0 | 0 | 6 | 0 | 0 | 36.36% | 11 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
9 | Jake Walman | 46 | D | 14 | 0 | 5 | 5 | -1 | 6 | 0 | 12 | 10 | 3 | 10 | 0.00% | 17 | 17.09 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 44 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
10 | Nick Paul | 0 | C/LW/RW | 14 | 3 | 2 | 5 | 0 | 4 | 0 | 8 | 62 | 16 | 32 | 4.84% | 1 | 16.62 | 0 | 0 | 0 | 20 | 0 | 1 | 1 | 39 | 0 | 0 | 57.30% | 89 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
11 | Jason Dickinson | 0 | C/LW | 14 | 2 | 3 | 5 | 4 | 0 | 0 | 7 | 16 | 8 | 17 | 12.50% | 2 | 10.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0 | 0 | 54.17% | 120 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
12 | Ondrej Palat | 18 | LW/RW | 14 | 2 | 3 | 5 | 2 | 2 | 0 | 9 | 23 | 2 | 19 | 8.70% | 0 | 14.90 | 2 | 0 | 2 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
13 | Gustav Nyquist | 0 | LW/RW | 14 | 0 | 4 | 4 | 1 | 2 | 0 | 8 | 36 | 10 | 15 | 0.00% | 3 | 20.31 | 0 | 1 | 1 | 52 | 0 | 0 | 0 | 0 | 0 | 0 | 23.53% | 17 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
14 | Michael Bunting | 27 | LW/RW | 14 | 2 | 2 | 4 | 0 | 12 | 0 | 17 | 31 | 5 | 20 | 6.45% | 0 | 13.20 | 1 | 0 | 1 | 19 | 0 | 0 | 0 | 0 | 1 | 0 | 36.36% | 11 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
15 | Nick Bjugstad | 69 | C/RW | 14 | 1 | 3 | 4 | 1 | 6 | 0 | 12 | 18 | 9 | 9 | 5.56% | 1 | 14.51 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 37 | 0 | 0 | 54.64% | 194 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
16 | Marcus Johansson | 0 | C/LW/RW | 14 | 2 | 1 | 3 | 3 | 0 | 0 | 2 | 15 | 4 | 8 | 13.33% | 1 | 7.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
17 | Erik Johnson | 6 | D | 14 | 1 | 1 | 2 | 2 | 18 | 0 | 23 | 7 | 2 | 4 | 14.29% | 11 | 17.42 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
18 | Luke Schenn | 2 | D | 11 | 0 | 0 | 0 | -1 | 16 | 0 | 33 | 5 | 1 | 3 | 0.00% | 10 | 16.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 249 | 41 | 73 | 114 | 27 | 121 | 5 | 267 | 503 | 139 | 304 | 8.15% | 93 | 16.82 | 10 | 18 | 28 | 476 | 2 | 4 | 6 | 363 | 7 | 2 | 54.90% | 1246 | 0 | 0 | 0 | 0 | 0.54 | 0 | 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 Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Hellebuyck | 13 | 7 | 4 | 2 | 0.903 | 2.55 | 777 | 0 | 0 | 33 | 340 | 0 | 0 | 1 | 0.000 | 0 | 13 | 1 | 1 | 0 | 0 | |
2 | Adin Hill | 2 | 0 | 1 | 0 | 0.921 | 2.07 | 87 | 0 | 0 | 3 | 38 | 0 | 0 | 0 | 0.000 | 0 | 1 | 13 | 0 | 0 | 0 | |
Team Total or Average | 15 | 7 | 5 | 2 | 0.905 | 2.50 | 865 | 0 | 0 | 36 | 378 | 0 | 0 | 1 | 0.000 | 0 | 14 | 14 | 1 | 0 | 0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 82,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 16 |
LTIR Players | 4 |
Flyers Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox | D | 25 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA |
Adin Hill ![]() | G | 27 | 1,500,000$ | 1,500,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | |||
Alex Killorn | LW/RW | 33 | 4,450,000$ | 4,450,000$ | UFA | ||||||
Anthony Cirelli | C/RW | 25 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Christian Fischer ![]() | C/LW/RW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Cody Ceci | D | 29 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||
Connor Hellebuyck ![]() | G | 30 | 6,166,666$ | 6,166,666$ | 6,166,666$ | UFA | |||||
Erik Johnson | D | 35 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Gustav Nyquist | LW/RW | 33 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Jake Walman ![]() ![]() | D | 27 | 750,000$ | 750,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||
Jason Dickinson | C/LW | 27 | 2,250,000$ | 2,250,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||
Luke Schenn ![]() ![]() | D | 33 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Marcus Johansson ![]() | C/LW/RW | 32 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Michael Bunting ![]() | LW/RW | 27 | 950,000$ | 950,000$ | |||||||
Mika Zibanejad | C | 30 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |
Nick Bjugstad ![]() | C/RW | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Nick Paul | C/LW/RW | 28 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA |
Ondrej Palat | LW/RW | 32 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Roman Josi | D | 32 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |
Steven Stamkos | C/LW/RW | 33 | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Scheel ![]() ![]() | G | 24 | 925,000$ | 925,000$ | RFA | ||||||
Alex Galchenyuk ![]() | C/LW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Amir Miftakhov ![]() | G | 23 | 838,333$ | 838,333$ | 838,333$ | RFA | |||||
Andrew Agozzino ![]() | C/LW | 32 | 750,000$ | 750,000$ | UFA | ||||||
Andrew Poturalski ![]() | C/RW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Bennett MacArthur ![]() | LW | 22 | 859,167$ | 859,167$ | 859,167$ | 859,167$ | RFA | ||||
Brandon Pirri ![]() | LW/RW | 32 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Cavan Fitzgerald ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Curtis Douglas ![]() | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Dylan Sikura ![]() ![]() | C/LW/RW | 27 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
Evan Fitzpatrick ![]() ![]() | G | 25 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Gemel Smith ![]() | C/LW/RW | 29 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
Greg McKegg ![]() | C/LW/RW | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Hayden Hodgson ![]() | RW | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Jason Demers ![]() ![]() | D | 34 | 750,000$ | 750,000$ | UFA | ||||||
Jeff Malott ![]() | LW | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Jordan Frasca ![]() | C | 21 | 859,167$ | 859,167$ | 859,167$ | 859,167$ | RFA | ||||
Kirill Ustimenko ![]() | G | 24 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Lane Pederson ![]() | C/RW | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Linden Marshall ![]() ![]() | G | 24 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Luke Glendening ![]() | C/LW/RW | 34 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Mareks Mitens ![]() | G | 25 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Mason Shaw ![]() | C/LW | 24 | 800,000$ | 800,000$ | RFA | ||||||
Matt Irwin ![]() | D | 35 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Maxim Cajkovic ![]() | LW/RW | 22 | 750,000$ | 750,000$ | RFA | ||||||
Nick Abruzzese ![]() | C/LW | 23 | 850,000$ | 850,000$ | RFA | ||||||
Nick Seeler ![]() | D | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Nolan Burke ![]() | C | 20 | 861,667$ | 861,667$ | 861,667$ | 861,667$ | RFA | ||||
Nolan Stevens ![]() | C/LW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Paul Cotter ![]() | C/LW | 23 | 760,000$ | 760,000$ | 775,000$ | 775,000$ | 775,000$ | ![]() | |||
Peetro Seppala ![]() | D | 22 | 855,000$ | 855,000$ | 855,000$ | RFA | |||||
Robin Salo ![]() | D | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() | |||||
Simon Johansson ![]() | D | 23 | 855,000$ | 855,000$ | 855,000$ | ![]() | |||||
T.J. Tynan ![]() | C | 31 | 900,000$ | 900,000$ | UFA | ||||||
Ty Dellandrea ![]() | C/RW | 22 | 863,333$ | 863,333$ | RFA | ||||||
Tyler Wotherspoon ![]() ![]() | D | 30 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Victor Rask ![]() | C/LW | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Vladislav Kolyachonok ![]() | D | 22 | 800,000$ | 800,000$ | RFA | ||||||
Wade Allison ![]() ![]() | RW | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ![]() | |||||
Will Cranley ![]() | G | 21 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | RFA |
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 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 17 | 1 | 6 | 0.429 | 18 | 34 | 52 | 0 | 0 | 4 | 8 | 5 | 1 | 262 | 72 | 83 | 96 | 11 | 171 | 47 | 55 | 138 | 29 | 3 | 10.34% | 22 | 6 | 72.73% | 1 | 302 | 562 | 53.74% | 277 | 480 | 57.71% | 105 | 204 | 51.47% | 183 | 128 | 160 | 53 | 93 | 48 | 57.7% | 6.9% | 90.1% | 96.9 | Unlucky | |
2 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 23 | 20 | 3 | 8 | 0.571 | 23 | 39 | 62 | 1 | 0 | 6 | 10 | 7 | 0 | 243 | 89 | 85 | 66 | 3 | 208 | 48 | 66 | 137 | 28 | 7 | 25.00% | 30 | 5 | 83.33% | 1 | 302 | 562 | 53.74% | 277 | 480 | 57.71% | 105 | 204 | 51.47% | 182 | 129 | 160 | 52 | 86 | 43 | 51.6% | 9.5% | 90.4% | 99.8 | FUN | |
_Vs Division | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 41 | 37 | 4 | 14 | 0.500 | 41 | 73 | 114 | 1 | 0 | 10 | 18 | 12 | 1 | 505 | 161 | 168 | 162 | 14 | 379 | 95 | 121 | 275 | 57 | 10 | 17.54% | 52 | 11 | 78.85% | 2 | 302 | 562 | 53.74% | 277 | 480 | 57.71% | 105 | 204 | 51.47% | 365 | 258 | 321 | 106 | 180 | 91 | 54.4% | 8.1% | 90.2% | 98.4 | Unlucky | |
_Vs Conference | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 41 | 37 | 4 | 14 | 0.500 | 41 | 73 | 114 | 1 | 0 | 10 | 18 | 12 | 1 | 505 | 161 | 168 | 162 | 14 | 379 | 95 | 121 | 275 | 57 | 10 | 17.54% | 52 | 11 | 78.85% | 2 | 302 | 562 | 53.74% | 277 | 480 | 57.71% | 105 | 204 | 51.47% | 365 | 258 | 321 | 106 | 180 | 91 | 54.4% | 8.1% | 90.2% | 98.4 | Unlucky | |
_Since Last GM Reset | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 41 | 37 | 4 | 14 | 0.500 | 41 | 73 | 114 | 1 | 0 | 10 | 18 | 12 | 1 | 505 | 161 | 168 | 162 | 14 | 379 | 95 | 121 | 275 | 57 | 10 | 17.54% | 52 | 11 | 78.85% | 2 | 302 | 562 | 53.74% | 277 | 480 | 57.71% | 105 | 204 | 51.47% | 365 | 258 | 321 | 106 | 180 | 91 | 54.4% | 8.1% | 90.2% | 98.4 | Unlucky | |
Total | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 41 | 37 | 4 | 14 | 0.500 | 41 | 73 | 114 | 1 | 0 | 10 | 18 | 12 | 1 | 505 | 161 | 168 | 162 | 14 | 379 | 95 | 121 | 275 | 57 | 10 | 17.54% | 52 | 11 | 78.85% | 2 | 302 | 562 | 53.74% | 277 | 480 | 57.71% | 105 | 204 | 51.47% | 365 | 258 | 321 | 106 | 180 | 91 | 54.4% | 8.1% | 90.2% | 98.4 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 26 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 562 |
Neutral Zone Start | 204 |
Defensive Zone Start | 480 |
Puck Time | |
---|---|
With Puck | 32 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 684 |
Faceoffs Lost | 562 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.5 | 9.57 |
2nd Period | 23.5 | 20.31 |
3rd Period | 35.1 | 30.68 |
Overtime | 36.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 28 |
---|---|
PP Goal | 10 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 3 |
Lost | 4 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 57 |
---|---|
PP Goal | 10 |
PK Attempt | 52 |
PK Goal Against | 11 |
Home | |
---|---|
Shots For | 36.1 |
Shots Against | 27.1 |
Goals For | 2.9 |
Goals Against | 2.6 |
Hits | 19.6 |
Shots Blocked | 6.8 |
Pim | 8.6 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-04-18 | @ | Blue Jackets2,Flyers5 | RECAP | ||
2023-04-20 | @ | Blue Jackets3,Flyers1 | RECAP | ||
2023-04-22 | @ | Flyers4,Blue Jackets1 | RECAP | ||
2023-04-24 | @ | Flyers3,Blue Jackets1 | RECAP | ||
2023-04-26 | @ | Blue Jackets5,Flyers2 | RECAP | ||
2023-04-28 | @ | Flyers5,Blue Jackets6 (OT) | RECAP | ||
2023-04-30 | @ | Blue Jackets2,Flyers3 | RECAP | ||
2023-05-02 | @ | Islanders3,Flyers1 | RECAP | ||
2023-05-04 | @ | Islanders1,Flyers5 | RECAP | ||
2023-05-06 | @ | Flyers3,Islanders1 | RECAP | ||
2023-05-08 | @ | Flyers2,Islanders3 | RECAP | ||
2023-05-10 | @ | Islanders3,Flyers4 (OT) | RECAP | ||
2023-05-12 | @ | Flyers2,Islanders4 | RECAP | ||
2023-05-14 | @ | Islanders2,Flyers1 (OT) | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
85,416,666$ | 0$ | 0$ | -2,916,666$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Wells Fargo Center | |
City | Philadelphia | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 48000 | 40000 | 16000 | 32000 | 8000 |
Attendance PCT | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
33 | 18000 - 100.00% | 1,587,500$ | 12,700,000$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
85,416,666$ | 85,416,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 2 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 85,416,666$ | 54,454,212$ | 54,454,212$ |
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 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 |
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 |
---|---|---|---|---|---|
Aidan Hreschuk | 2021 | 82 | |||
Arseny Koromyslov | 2022 | 143 | |||
Brandon Lisowsky | 2022 | 167 | |||
Brayden Peters | 2020 | 187 | |||
Bryce Montgomery | 2021 | 172 | |||
Chase McLane | |||||
Dru Krebs | 2021 | 162 | |||
Garin Bjorklund | 2020 | 145 | |||
Jake Boltmann | |||||
Jake Karabela | 2022 | 122 | |||
James Fisher | 2022 | 218 | |||
Joni Jurmo | 2020 | 63 | |||
Juho Markkanen | 2020 | 181 | |||
Justin Janicke | 2021 | 183 | |||
Kasper Puutio | 2020 | 119 | |||
Kirill Gerasimyuk | 2021 | 119 | |||
Landon Sim | 2022 | 208 | |||
Logan Neaton | 2019 | 166 | |||
Marcus Davidsson | 6.0 - 5.0 | ||||
Matvey Petrov | 2021 | 151 | |||
Noah Laba | 2022 | 123 | |||
Olof Lindbom | 7.5 - 4.5 | ||||
Otto Salin | 2022 | 154 | |||
Parker Bell | 2022 | 186 | |||
Riku Tohila | 2022 | 216 | |||
Ryan Ufko | 2021 | 87 | |||
Sam Rinzel | 2022 | 58 | |||
Simon Forsmark | 2022 | 88 | |||
Tucker Robertson | 2022 | 110 | |||
Ty Smilanic | 2020 | 57 | |||
Yaroslav Likhachyov | 2019 | 197 |
|