|
|
|
|
Full Scoreboard »» |
|
|
|
|
Full Scoreboard »» |
Philadelphia Flyers 1-0-0, 2pts · 4th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 91 | C/LW/RW | 99.00 | 67 | 32 | 82 | 73 | 71 | 86 | 90 | 74 | 81 | 73 | 81 | 59 | 78 | 85 | 99 | 0 | 86 | 85 | 35 | 7,500,000$/3yrs | |||
![]() | 93 | C | 99.00 | 62 | 33 | 88 | 76 | 80 | 88 | 90 | 73 | 84 | 78 | 73 | 76 | 73 | 80 | 78 | 0 | 87 | 84 | 32 | 8,500,000$/4yrs | |||
![]() | 71 | C/RW | 98.00 | 58 | 32 | 87 | 76 | 74 | 86 | 90 | 72 | 87 | 73 | 77 | 77 | 74 | 72 | 71 | 0 | 86 | 83 | 27 | 5,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 34 | 88 | 65 | 76 | 82 | 90 | 65 | 86 | 66 | 69 | 82 | 67 | 85 | 84 | 0 | 87 | 80 | 35 | 4,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 32 | 94 | 68 | 70 | 85 | 90 | 69 | 59 | 74 | 69 | 64 | 69 | 85 | 85 | 0 | 86 | 80 | 35 | 4,500,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 69 | 35 | 87 | 69 | 89 | 84 | 90 | 68 | 83 | 66 | 74 | 63 | 71 | 76 | 74 | 0 | 87 | 79 | 30 | 3,150,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 32 | 99 | 61 | 73 | 74 | 73 | 62 | 57 | 61 | 65 | 84 | 63 | 78 | 78 | 0 | 87 | 77 | 31 | 1,250,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 76 | 38 | 80 | 62 | 80 | 83 | 87 | 63 | 86 | 61 | 68 | 83 | 66 | 75 | 73 | 0 | 86 | 77 | 29 | 2,500,000$/3yrs | |||
![]() | 21 | C/LW/RW | 100.00 | 76 | 34 | 79 | 62 | 74 | 80 | 85 | 62 | 60 | 66 | 62 | 76 | 62 | 72 | 70 | 0 | 86 | 76 | 28 | 2,950,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 68 | 37 | 85 | 68 | 72 | 82 | 90 | 64 | 59 | 66 | 68 | 61 | 66 | 67 | 65 | 0 | 66 | 76 | 25 | 5,000,000$/4yrs | |||
![]() | 0 | C | 100.00 | 81 | 37 | 85 | 55 | 73 | 78 | 89 | 59 | 81 | 61 | 62 | 76 | 60 | 83 | 81 | 0 | 87 | 74 | 34 | 2,500,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 84 | 32 | 93 | 60 | 71 | 77 | 89 | 60 | 61 | 60 | 65 | 66 | 62 | 69 | 68 | 0 | 39 | 74 | 26 | 1,300,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 33 | 92 | 61 | 77 | 78 | 87 | 59 | 60 | 62 | 60 | 64 | 59 | 73 | 72 | 0 | 86 | 73 | 28 | 2,250,000$/3yrs | |||
![]() | 23 | D | 98.00 | 62 | 32 | 84 | 82 | 70 | 95 | 88 | 75 | 30 | 86 | 68 | 77 | 72 | 71 | 70 | 0 | 86 | 89 | 27 | 9,500,000$/5yrs | |||
![]() | 0 | D | 100.00 | 71 | 34 | 87 | 66 | 73 | 94 | 90 | 65 | 30 | 69 | 64 | 79 | 65 | 74 | 72 | 0 | 86 | 81 | 28 | 6,000,000$/7yrs | |||
![]() | 0 | D | 97.00 | 70 | 35 | 83 | 68 | 82 | 93 | 86 | 65 | 30 | 73 | 56 | 74 | 61 | 81 | 79 | 0 | 86 | 81 | 33 | 6,200,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 34 | 89 | 58 | 90 | 89 | 88 | 60 | 30 | 63 | 60 | 78 | 60 | 79 | 78 | 0 | 61 | 77 | 31 | 2,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 33 | 88 | 55 | 77 | 82 | 81 | 57 | 30 | 60 | 54 | 71 | 56 | 82 | 81 | 0 | 86 | 74 | 33 | 1,300,000$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 34 | 82 | 55 | 86 | 85 | 83 | 55 | 30 | 59 | 57 | 71 | 56 | 76 | 75 | 0 | 60 | 73 | 30 | 1,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.53 | 71 | 34 | 87 | 65 | 77 | 84 | 87 | 65 | 59 | 67 | 66 | 73 | 65 | 77 | 76 | 0 | 80 | 79 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 89 | 95 | 85 | 85 | 97 | 85 | 95 | 94 | 94 | 97 | 95 | 80 | 84 | 0 | 84 | 94 | 31 | 7,500,000$/5yrs |
![]() | 0 | 100.00 | 83 | 95 | 83 | 73 | 83 | 78 | 85 | 89 | 86 | 88 | 85 | 74 | 79 | 0 | 76 | 88 | 29 | 3,400,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 76 | 81 | 75 | 79 | 81 | 74 | 82 | 87 | 81 | 87 | 82 | 79 | 84 | 0 | 79 | 85 | 32 | 2,750,000$/1yrs |
TEAM AVERAGE | 99.33 | 83 | 90 | 81 | 79 | 87 | 79 | 87 | 90 | 87 | 91 | 87 | 78 | 82 | 0 | 80 | 89 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Drew Bannister | 80 | 85 | 80 | 95 | 74 | 70 | 77 | CAN | 50 | 5 | 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 | Anthony Cirelli | 71 | C/RW | 1 | 1 | 2 | 3 | 2 | 0 | 0 | 0 | 14 | 0 | 1 | 7.14% | 0 | 24.37 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 1 | 0 | 1 | 66.67% | 6 | 0 | 0 | 0 | 0 | 2.46 | 0 | 0 | |
2 | Mika Zibanejad | 93 | C | 1 | 2 | 1 | 3 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 66.67% | 0 | 23.17 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 38.10% | 42 | 0 | 0 | 0 | 0 | 2.59 | 0 | 0 | |
3 | Gustav Forsling | 0 | D | 1 | 0 | 2 | 2 | 1 | 0 | 0 | 1 | 3 | 0 | 1 | 0.00% | 0 | 20.92 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.91 | 0 | 0 | |
4 | Mathieu Joseph | 21 | C/LW/RW | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 0 | 11.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 1.75 | 0 | 0 | |
5 | Joel Edmundson | 0 | D | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 2 | 0 | 0 | 0.00% | 0 | 20.92 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 | |
6 | Adam Fox | 23 | D | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 4 | 0 | 0 | 0.00% | 1 | 26.32 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | |
7 | Adam Henrique | 0 | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 0.00% | 1 | 16.17 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 52.38% | 21 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
8 | Brock McGinn | 0 | LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 1 | 1 | 0.00% | 0 | 10.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
9 | Calvin de Haan | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 12.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
10 | Casey Cizikas | 0 | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 10.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 9 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
11 | Jesper Boqvist | 0 | C/LW/RW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 9.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
12 | Nick Paul | 0 | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 3 | 0.00% | 1 | 15.38 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
13 | Gustav Nyquist | 0 | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 0.00% | 1 | 15.38 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
14 | Jason Dickinson | 0 | C/LW | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | 2 | 2 | 2 | 0.00% | 0 | 9.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 12 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
15 | Justin Faulk | 0 | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 0 | 26.32 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
16 | Kasperi Kapanen | 0 | LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 10.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Carson Soucy | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 12.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Steven Stamkos | 91 | C/LW/RW | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 1 | 1 | 3 | 0.00% | 0 | 23.17 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 18 | 4 | 7 | 11 | 10 | 2 | 0 | 13 | 43 | 6 | 14 | 9.30% | 4 | 16.56 | 0 | 0 | 0 | 46 | 0 | 0 | 0 | 7 | 1 | 1 | 49.49% | 99 | 0 | 0 | 0 | 0 | 0.74 | 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 | 1 | 1 | 0 | 0 | 0.944 | 2.00 | 60 | 0 | 0 | 2 | 36 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 1 | |
Team Total or Average | 1 | 1 | 0 | 0 | 0.944 | 2.00 | 60 | 0 | 0 | 2 | 36 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 1 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Flyers Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox ![]() | D | 27 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||
Adam Henrique ![]() | C/LW | 35 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Alexandar Georgiev | G | 29 | 3,400,000$ | 3,400,000$ | UFA | ||||||
Anthony Cirelli ![]() | C/RW | 27 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Anton Forsberg | G | 32 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Brock McGinn ![]() | LW/RW | 31 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Calvin de Haan ![]() | D | 33 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Carson Soucy ![]() | D | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Casey Cizikas ![]() | C | 34 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Connor Hellebuyck | G | 31 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||
Gustav Forsling ![]() | D | 28 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA |
Gustav Nyquist ![]() | LW/RW | 35 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Jason Dickinson ![]() | C/LW | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Jesper Boqvist ![]() | C/LW/RW | 26 | 1,300,000$ | 1,300,000$ | |||||||
Joel Edmundson ![]() | D | 31 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Joel Farabee ![]() | LW/RW | 25 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Justin Faulk ![]() | D | 33 | 6,200,000$ | 6,200,000$ | 6,200,000$ | UFA | |||||
Kasperi Kapanen ![]() | LW/RW | 28 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||
Mathieu Joseph ![]() | C/LW/RW | 28 | 2,950,000$ | 2,950,000$ | 2,950,000$ | UFA | |||||
Mika Zibanejad ![]() | C | 32 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |||
Nick Paul ![]() | C/LW/RW | 30 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | ||
Steven Stamkos ![]() | C/LW/RW | 35 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Scheel ![]() | G | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Amir Miftakhov ![]() | G | 25 | 0$ | ![]() | |||||||
Bennett MacArthur ![]() | LW | 24 | 859,167$ | 859,167$ | RFA | ||||||
Brady Stonehouse ![]() | RW | 20 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
Brandon Halverson ![]() | G | 29 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | UFA | ||||
Curtis Douglas ![]() | C | 25 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | ![]() | ||||
Derrick Pouliot ![]() | D | 31 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Devin Shore ![]() | C | 30 | 775,000$ | 775,000$ | UFA | ||||||
Hunter Drew ![]() | D | 26 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Jacob Quillan ![]() | C | 23 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Jeff Malott ![]() | LW | 28 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Jeremie Biakabutuka ![]() | D | 23 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Joni Jurmo ![]() | D | 23 | 0$ | RFA | |||||||
Jordan Frasca ![]() | C | 23 | 859,167$ | 859,167$ | RFA | ||||||
Josh Davies ![]() | LW | 21 | 0$ | RFA | |||||||
Jujhar Khaira ![]() | C/LW | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Lane Pederson ![]() | C/RW | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Louis Domingue ![]() | G | 33 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Marc Gatcomb ![]() | RW | 25 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | ![]() | ||||
Martin Frk ![]() | LW/RW | 31 | 850,000$ | 850,000$ | UFA | ||||||
Mason Shaw ![]() | C/LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Matt Donovan ![]() | D | 34 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Matthew Benning ![]() | D | 30 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Maxim Cajkovic ![]() | LW/RW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Nicholas Abruzzese ![]() | C/LW | 25 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Nikita Nesterenko ![]() | C/LW | 23 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | ![]() | ||||
Nolan Burke ![]() | C | 22 | 861,667$ | 861,667$ | RFA | ||||||
Parker Bell ![]() | LW | 21 | 0$ | RFA | |||||||
Peetro Seppala ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | ![]() | ||||
Robin Salo ![]() | D | 26 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Ryan Ufko ![]() | D | 21 | 0$ | RFA | |||||||
Simon Johansson ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
T.J. Tynan ![]() | C | 33 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Trevor Carrick ![]() | D | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Tucker Robertson ![]() | C | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Vladislav Kolyachonok ![]() | D | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | ![]() | ||||
Will Cranley ![]() | G | 23 | 775,000$ | 775,000$ | RFA | ||||||
Zach Dean ![]() | C | 22 | 883,333$ | 883,333$ | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 43 | 13 | 21 | 9 | 0 | 36 | 4 | 2 | 13 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 18 | 39 | 46.15% | 22 | 41 | 53.66% | 9 | 19 | 47.37% | 24 | 16 | 21 | 6 | 13 | 7 | 66.7% | 9.3% | 94.4% | 103.7 | LUCKY | |
_Vs Division | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 43 | 13 | 21 | 9 | 0 | 36 | 4 | 2 | 13 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 18 | 39 | 46.15% | 22 | 41 | 53.66% | 9 | 19 | 47.37% | 24 | 16 | 21 | 6 | 13 | 7 | 66.7% | 9.3% | 94.4% | 103.7 | LUCKY | |
_Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 43 | 13 | 21 | 9 | 0 | 36 | 4 | 2 | 13 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 18 | 39 | 46.15% | 22 | 41 | 53.66% | 9 | 19 | 47.37% | 24 | 16 | 21 | 6 | 13 | 7 | 66.7% | 9.3% | 94.4% | 103.7 | LUCKY | |
_Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 43 | 13 | 21 | 9 | 0 | 36 | 4 | 2 | 13 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 18 | 39 | 46.15% | 22 | 41 | 53.66% | 9 | 19 | 47.37% | 24 | 16 | 21 | 6 | 13 | 7 | 66.7% | 9.3% | 94.4% | 103.7 | LUCKY | |
Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 43 | 13 | 21 | 9 | 0 | 36 | 4 | 2 | 13 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 18 | 39 | 46.15% | 22 | 41 | 53.66% | 9 | 19 | 47.37% | 24 | 16 | 21 | 6 | 13 | 7 | 66.7% | 9.3% | 94.4% | 103.7 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 39 |
Neutral Zone Start | 19 |
Defensive Zone Start | 41 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 49 |
Faceoffs Lost | 50 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.0 | 9.57 |
2nd Period | 34.0 | 20.31 |
3rd Period | 43.0 | 30.68 |
Overtime | 43.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 4.0 | 2.67 |
Overtime | 4.0 | 2.83 |
Even Strenght Goal | 4 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 1 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 5 |
---|---|
PP Goal | 0 |
PK Attempt | 1 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 43.0 |
Shots Against | 36.0 |
Goals For | 4.0 |
Goals Against | 2.0 |
Hits | 13.0 |
Shots Blocked | 4.0 |
Pim | 2.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025-05-01 | @ | Flyers4,Hurricanes2 | RECAP | |||||||||||
2025-05-03 | @ | |||||||||||||
2025-05-05 | @ | |||||||||||||
2025-05-07 | @ | |||||||||||||
2025-05-09 | @ | |||||||||||||
2025-05-11 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-05-13 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
91,800,000$ | 0$ | 0$ | -3,800,000$ |
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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
91,800,000$ | 91,800,000$ | 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$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 91,800,000$ | 55,383,148$ | 55,383,148$ |
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 | Ronde 8 |
---|---|---|---|---|---|---|---|---|
2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
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 | |||
Alexander Rykov | 2023 | 90 | |||
Alexandre Blais | 2024 | 95 | |||
Arseny Koromyslov | 2022 | 143 | |||
Arvid Bergstrom | 2023 | 219 | |||
Beckett Hendrickson | 2023 | 135 | |||
Brandon Lisowsky | 2022 | 167 | |||
Brayden Peters | 2020 | 187 | |||
Brodie Ziemer | 2024 | 80 | |||
Bryce Montgomery | 2021 | 172 | |||
Charlie Elick | 2024 | 27 | |||
Chase McLane | |||||
Colton Roberts | 2024 | 117 | |||
Danill Ustinkov | 2024 | 206 | |||
Dru Krebs | 2021 | 162 | |||
Frankie Marelli | 2024 | 210 | |||
Garin Bjorklund | 2020 | 145 | |||
Herman Traff | 2024 | 102 | |||
Ilya Pautov | 2024 | 174 | |||
Jacob Battaglia | 2024 | 78 | |||
Jake Boltmann | |||||
Jake Karabela | 2022 | 122 | |||
James Fisher | 2022 | 218 | |||
Jesse Pulkkinen | 2024 | 45 | |||
Juho Markkanen | 2020 | 181 | |||
Justin Janicke | 2021 | 183 | |||
Kasper Puutio | 2020 | 119 | |||
Kieron Walton | 2024 | 171 | |||
Kirill Gerasimyuk | 2021 | 119 | |||
Kirill Zarubin | 2024 | 87 | |||
Landon Sim | 2022 | 208 | |||
Logan Neaton | 2019 | 166 | |||
Marcus Davidsson | 6.0 - 5.0 | ||||
Matthew Soto | 2023 | 195 | |||
Matvey Petrov | 2021 | 151 | |||
Melvin Fernstrom | 2024 | 98 | |||
Nikita Artamonov | 2024 | 36 | |||
Noah Laba | 2022 | 123 | |||
Olof Lindbom | 7.5 - 4.5 | ||||
Oskar Vuollet | 2024 | 141 | |||
Otto Salin | 2022 | 154 | |||
Pavel Moysevich | 2024 | 100 | |||
Riley Heidt | 2023 | 27 | |||
Scott Ratzlaff | 2023 | 123 | |||
Sebastian Soini | 2024 | 146 | |||
Simon Forsmark | 2022 | 88 | |||
Simon Zether | 2024 | 103 | |||
Tanner Howe | 2024 | 46 | |||
Tomas Lavoie | 2024 | 92 | |||
Topias Hynninen | 2024 | 215 | |||
Tory Pitner | 2024 | 182 | |||
Tuomas Uronen | 2023 | 171 | |||
Ty Smilanic | 2020 | 57 | |||
Yaroslav Likhachyov | 2019 | 197 | |||
Zeb Forsfjall | 2023 | 140 |
|