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Philadelphia Flyers 0-0-0, 0pts |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 72 | 35 | 92 | 68 | 76 | 80 | 79 | 70 | 55 | 66 | 67 | 68 | 72 | 67 | 63 | 71 | 78 | 0 | 24 | 950,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 62 | 39 | 86 | 80 | 71 | 90 | 88 | 83 | 95 | 81 | 76 | 69 | 83 | 82 | 91 | 53 | 77 | 0 | 34 | 8,275,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 35 | 93 | 65 | 78 | 81 | 90 | 64 | 89 | 66 | 62 | 77 | 63 | 71 | 67 | 42 | 77 | 0 | 27 | 1,500,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 86 | 35 | 94 | 80 | 62 | 78 | 82 | 67 | 63 | 70 | 66 | 81 | 67 | 80 | 79 | 33 | 77 | 0 | 33 | 3,500,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 78 | 84 | 61 | 97 | 77 | 84 | 63 | 73 | 62 | 61 | 65 | 61 | 71 | 66 | 78 | 49 | 0 | 27 | 850,000$/1yrs | |||
![]() | 0 | C | 100.00 | 58 | 42 | 86 | 82 | 85 | 89 | 91 | 82 | 83 | 86 | 81 | 65 | 81 | 75 | 78 | 72 | 78 | 0 | 29 | 6,125,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 79 | 37 | 89 | 76 | 72 | 91 | 87 | 77 | 69 | 75 | 81 | 67 | 82 | 85 | 78 | 43 | 78 | 0 | 35 | 5,750,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 64 | 39 | 87 | 91 | 74 | 89 | 93 | 88 | 80 | 92 | 85 | 63 | 87 | 71 | 78 | 87 | 78 | 0 | 26 | 6,300,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 69 | 65 | 82 | 76 | 84 | 88 | 89 | 80 | 61 | 86 | 78 | 88 | 78 | 77 | 90 | 43 | 77 | 0 | 30 | 8,500,000$/6yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 77 | 36 | 79 | 69 | 71 | 84 | 89 | 68 | 70 | 72 | 66 | 59 | 71 | 75 | 69 | 56 | 77 | 0 | 28 | 1,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 76 | 46 | 81 | 67 | 86 | 85 | 90 | 68 | 93 | 66 | 65 | 77 | 66 | 73 | 69 | 72 | 77 | 0 | 28 | 2,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 33 | 82 | 81 | 68 | 85 | 89 | 78 | 62 | 80 | 76 | 64 | 77 | 66 | 71 | 79 | 77 | 0 | 25 | 5,500,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 66 | 37 | 84 | 70 | 79 | 85 | 93 | 69 | 80 | 68 | 67 | 73 | 66 | 69 | 71 | 52 | 78 | 0 | 26 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 43 | 83 | 70 | 75 | 88 | 89 | 73 | 30 | 77 | 64 | 65 | 53 | 80 | 72 | 54 | 77 | 0 | 33 | 4,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 73 | 51 | 79 | 76 | 98 | 90 | 86 | 78 | 30 | 85 | 77 | 81 | 62 | 75 | 72 | 71 | 76 | 0 | 28 | 9,000,000$/7yrs | |||
![]() | 0 | D | 100.00 | 89 | 46 | 77 | 59 | 88 | 85 | 74 | 56 | 30 | 64 | 55 | 84 | 45 | 85 | 75 | 23 | 77 | 0 | 36 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 39 | 87 | 66 | 85 | 89 | 84 | 62 | 30 | 72 | 61 | 88 | 52 | 73 | 67 | 56 | 65 | 0 | 27 | 5,750,000$/8yrs | |||
![]() | 0 | D | 100.00 | 74 | 46 | 79 | 76 | 73 | 88 | 85 | 72 | 30 | 74 | 69 | 76 | 58 | 73 | 67 | 62 | 77 | 0 | 28 | 4,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 61 | 35 | 92 | 66 | 69 | 75 | 79 | 64 | 30 | 65 | 59 | 67 | 53 | 75 | 68 | 41 | 50 | 0 | 28 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 85 | 39 | 87 | 68 | 80 | 91 | 88 | 64 | 30 | 73 | 59 | 79 | 47 | 78 | 71 | 35 | 77 | 0 | 30 | 4,500,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 71 | 55 | 71 | 59 | 80 | 74 | 79 | 58 | 64 | 62 | 56 | 59 | 57 | 69 | 65 | 65 | 20 | 0 | 25 | 750,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 73 | 43 | 84 | 72 | 79 | 85 | 86 | 71 | 59 | 73 | 68 | 72 | 66 | 75 | 73 | 57 | 71 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 92 | 88 | 86 | 95 | 91 | 90 | 92 | 91 | 90 | 92 | 91 | 78 | 84 | 59 | 78 | 0 | 30 | 5,000,000$/4yrs |
![]() | 0 | 100.00 | 76 | 77 | 76 | 81 | 75 | 74 | 76 | 75 | 74 | 76 | 75 | 80 | 86 | 40 | 77 | 0 | 32 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 84 | 83 | 81 | 88 | 83 | 82 | 84 | 83 | 82 | 84 | 83 | 79 | 85 | 50 | 78 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jon Cooper | 83 | 91 | 90 | 81 | 80 | 74 | 69 | CAN | 53 | 3 | 5,000,000$ |
General Manager | Jonathan Lecompte |
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Priority | Type | Description |
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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 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 85,000,000$ |
Retains And Buyout Cap Hit | 225,000$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Flyers Roster | Pos | Age | Cap Hit | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech | D | 27 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ |
Alexander Volkov ![]() | LW/RW | 24 | 950,000$ | 950,000$ | RFA | ||||||
Brandon Montour | D | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Claude Giroux | C/LW/RW | 34 | 8,275,000$ | 5,000,000$ | UFA | ||||||
David Kampf ![]() | C/LW/RW | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Dougie Hamilton | D | 28 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA |
Frederik Gauthier ![]() | C/RW | 27 | 850,000$ | 850,000$ | |||||||
Joakim Ryan ![]() | D | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Justin Kirkland ![]() | LW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Keith Kinkaid ![]() | G | 32 | 750,000$ | 750,000$ | UFA | ||||||
Kevin Shattenkirk ![]() | D | 33 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Mark Scheifele | C | 29 | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | UFA | ||||
Mark Stone | RW | 30 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |
Mason Appleton ![]() | C/LW/RW | 26 | 750,000$ | 750,000$ | |||||||
Nathan MacKinnon | C/RW | 26 | 6,300,000$ | 6,300,000$ | 6,300,000$ | ||||||
Nick Cousins ![]() | C/LW/RW | 28 | 1,500,000$ | 1,500,000$ | |||||||
Nikita Zaitsev | D | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Paul Byron | C/LW/RW | 33 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Radek Faksa | C | 28 | 2,000,000$ | 2,000,000$ | |||||||
Robin Lehner ![]() | G | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Roman Polak ![]() ![]() | D | 36 | 2,000,000$ | 2,000,000$ | UFA | ||||||
T.J. Oshie | LW/RW | 35 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |||
Travis Konecny | RW | 25 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ |
Non-Roster | Pos | Age | Cap Hit | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 |
---|---|---|---|---|---|---|---|---|---|---|---|
A.J. Greer ![]() | LW | 25 | 750,000$ | 950,000$ | 950,000$ | ||||||
Dustin Tokarski ![]() | G | 32 | 750,000$ | 750,000$ | UFA | ||||||
Guillaume Brisebois ![]() | D | 24 | 750,000$ | 750,000$ | RFA | ||||||
Jeremy Bracco ![]() | RW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Matthew Strome ![]() | LW | 23 | 750,000$ | 750,000$ | RFA | ||||||
Rocco Grimaldi ![]() | C/RW | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Steven Fogarty ![]() | C | 29 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Taro Hirose ![]() | LW | 25 | 1,500,000$ | 1,500,000$ |
Forward Lines | |||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,775,000$ | 225,000$ | 0$ | 85,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Wells Fargo Center | |
City | Philadelphia | ||
Capacity | 19519 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5519 | 3000 | 4000 | 1000 |
Ticket Price | 130$ | 105$ | 70$ | 50$ | 220$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 19519 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,775,000$ | 88,050,000$ | 0$ | 225,000$ |
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$ | 9 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 74,363,438$ | 74,363,438$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2022 | |||||
2023 | |||||
2024 | |||||
2025 | |||||
2026 |
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 |
---|---|---|---|---|---|
Alexander Volkov | |||||
Shai Buium | 2021 | 57 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
2022 | |||||
2023 | |||||
2024 | |||||
2025 | |||||
2026 |
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 |
---|---|---|---|---|---|
Alexander Volkov | |||||
Shai Buium | 2021 | 57 |