Flyers | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Jean-Phillipe Dame | Morale : 50 | Team Overall : 72 Next Games #5 vs Capitals |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nazem Kadri | X | 100.00 | 70 | 57 | 80 | 89 | 71 | 79 | 93 | 75 | 76 | 76 | 76 | 66 | 58 | 82 | 60 | 0 | 50 | 76 | 0 | 33 | 3 | 8,500,000$ | ||||
2 | Brayden Schenn | X | 100.00 | 75 | 68 | 80 | 81 | 78 | 79 | 92 | 70 | 76 | 71 | 72 | 69 | 69 | 83 | 70 | 0 | 50 | 74 | 0 | 33 | 1 | 7,000,000$ | ||||
3 | Gustav Nyquist | X | X | 100.00 | 70 | 40 | 90 | 82 | 70 | 79 | 85 | 74 | 58 | 77 | 73 | 67 | 78 | 78 | 66 | 0 | 50 | 74 | 0 | 35 | 1 | 5,000,000$ | |||
4 | Phillip Danault | X | 100.00 | 70 | 47 | 84 | 77 | 78 | 79 | 91 | 69 | 81 | 71 | 70 | 73 | 54 | 73 | 67 | 0 | 50 | 73 | 0 | 31 | 3 | 5,500,000$ | ||||
5 | Ondrej Palat | X | 100.00 | 73 | 57 | 85 | 77 | 76 | 73 | 84 | 65 | 53 | 69 | 66 | 73 | 56 | 77 | 62 | 0 | 50 | 71 | 0 | 33 | 3 | 3,300,000$ | ||||
6 | Marcus Johansson | X | 100.00 | 69 | 40 | 87 | 77 | 80 | 74 | 90 | 65 | 56 | 67 | 67 | 71 | 55 | 82 | 67 | 0 | 50 | 71 | 0 | 33 | 1 | 2,000,000$ | ||||
7 | Jaden Schwartz | X | X | 100.00 | 70 | 40 | 82 | 78 | 74 | 76 | 82 | 67 | 79 | 68 | 69 | 71 | 54 | 77 | 70 | 0 | 50 | 71 | 0 | 32 | 2 | 5,650,000$ | |||
8 | Mason Appleton | X | 100.00 | 73 | 40 | 85 | 74 | 74 | 74 | 84 | 64 | 56 | 68 | 67 | 72 | 54 | 63 | 59 | 0 | 50 | 70 | 0 | 28 | 3 | 2,100,000$ | ||||
9 | Anthony Beauvillier | X | X | 100.00 | 73 | 40 | 89 | 72 | 70 | 70 | 87 | 63 | 68 | 66 | 64 | 68 | 58 | 71 | 59 | 0 | 50 | 68 | 0 | 27 | 5 | 3,000,000$ | |||
10 | Christian Dvorak | X | 100.00 | 67 | 40 | 90 | 74 | 74 | 74 | 73 | 62 | 83 | 65 | 65 | 70 | 60 | 68 | 59 | 0 | 50 | 68 | 0 | 28 | 2 | 4,425,000$ | ||||
11 | Mattias Janmark | X | 100.00 | 71 | 58 | 81 | 68 | 80 | 66 | 85 | 59 | 69 | 64 | 62 | 77 | 54 | 71 | 59 | 0 | 50 | 67 | 0 | 31 | 1 | 1,250,000$ | ||||
12 | Roman Josi (C) | X | 100.00 | 67 | 57 | 77 | 81 | 79 | 96 | 90 | 77 | 40 | 81 | 71 | 78 | 58 | 82 | 85 | 0 | 50 | 79 | 0 | 34 | 5 | 11,000,000$ | ||||
13 | Seth Jones | X | 100.00 | 68 | 40 | 78 | 80 | 81 | 97 | 88 | 65 | 40 | 69 | 63 | 83 | 54 | 79 | 68 | 0 | 50 | 74 | 0 | 29 | 4 | 8,750,000$ | ||||
14 | Tyler Myers | X | 100.00 | 69 | 48 | 69 | 74 | 83 | 83 | 91 | 61 | 40 | 68 | 59 | 85 | 57 | 85 | 61 | 0 | 50 | 72 | 0 | 34 | 1 | 3,500,000$ | ||||
15 | Erik Gudbranson | X | 100.00 | 68 | 69 | 78 | 66 | 84 | 84 | 90 | 59 | 40 | 67 | 60 | 87 | 54 | 78 | 66 | 0 | 50 | 71 | 0 | 32 | 3 | 3,500,000$ | ||||
16 | Ryan Suter | X | 100.00 | 73 | 40 | 82 | 68 | 79 | 83 | 93 | 58 | 40 | 66 | 58 | 85 | 54 | 99 | 78 | 0 | 50 | 71 | 0 | 39 | 2 | 3,650,000$ | ||||
17 | Nick Perbix | X | 100.00 | 65 | 40 | 89 | 80 | 74 | 76 | 82 | 60 | 40 | 68 | 59 | 81 | 54 | 58 | 58 | 0 | 50 | 69 | 0 | 26 | 2 | 1,500,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 70 | 48 | 83 | 76 | 77 | 79 | 87 | 65 | 59 | 69 | 66 | 75 | 58 | 77 | 66 | 0 | 50 | 72 |
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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Philipp Grubauer | 100.00 | 79 | 79 | 79 | 76 | 78 | 72 | 82 | 69 | 89 | 76 | 87 | 72 | 66 | 0 | 50 | 78 | 0 | 32 | 2 | 5,000,000$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 79 | 79 | 79 | 76 | 78 | 72 | 82 | 69 | 89 | 76 | 87 | 72 | 66 | 0 | 50 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Don Granato | 79 | 76 | 81 | 79 | 82 | 80 | 1 | USA | 56 | 1 | 500,000$ |
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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|
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 |
---|
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 | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Beauvillier | Flyers | LW/RW | 27 | 1997-06-08 | CAN | No | 180 Lbs | 5 ft10 | No | No | N/A | No | No | 5 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | - | - | - | - | - | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Link / NHL Link | ||
Brayden Schenn | Flyers | C | 33 | 1991-08-22 | CAN | No | 198 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 7,000,000$ | 7,000,000$ | 7,000,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Christian Dvorak | Flyers | C | 28 | 1996-02-02 | USA | No | 191 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 4,425,000$ | 4,425,000$ | 4,425,000$ | No | 4,425,000$ | - | - | - | - | - | - | - | - | 4,425,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Erik Gudbranson | Flyers | D | 32 | 1992-01-07 | CAN | No | 222 Lbs | 6 ft5 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 3,500,000$ | No | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | ||
Gustav Nyquist | Flyers | LW/RW | 35 | 1989-09-01 | SWE | No | 180 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 5,000,000$ | 5,000,000$ | 5,000,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Jaden Schwartz | Flyers | C/LW | 32 | 1992-06-25 | CAN | No | 184 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 5,650,000$ | 5,650,000$ | 5,650,000$ | No | 5,650,000$ | - | - | - | - | - | - | - | - | 5,650,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Marcus Johansson | Flyers | LW | 33 | 1990-10-06 | SWE | No | 202 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Mason Appleton | Flyers | RW | 28 | 1996-01-15 | USA | No | 193 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 2,100,000$ | 2,100,000$ | 2,100,000$ | No | 2,100,000$ | 2,100,000$ | - | - | - | - | - | - | - | 2,100,000$ | 2,100,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | ||
Mattias Janmark | Flyers | LW | 31 | 1992-12-08 | SWE | No | 204 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,250,000$ | 1,250,000$ | 1,250,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Nazem Kadri | Flyers | C | 33 | 1990-10-06 | CAN | No | 184 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 8,500,000$ | 8,500,000$ | 8,500,000$ | No | 8,500,000$ | 8,500,000$ | - | - | - | - | - | - | - | 8,500,000$ | 8,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | ||
Nick Perbix | Flyers | D | 26 | 1998-06-15 | USA | No | 202 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | 1,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Ondrej Palat | Flyers | LW | 33 | 1991-03-28 | CZE | No | 193 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 3,300,000$ | 3,300,000$ | 3,300,000$ | No | 3,300,000$ | 3,300,000$ | - | - | - | - | - | - | - | 3,300,000$ | 3,300,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | ||
Philipp Grubauer | Flyers | G | 32 | 1991-11-25 | GER | No | 187 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 5,000,000$ | 5,000,000$ | 5,000,000$ | No | 5,000,000$ | - | - | - | - | - | - | - | - | 5,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Phillip Danault | Flyers | C | 31 | 1993-02-24 | CAN | No | 200 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 5,500,000$ | 5,500,000$ | 5,500,000$ | No | 5,500,000$ | 5,500,000$ | - | - | - | - | - | - | - | 5,500,000$ | 5,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | ||
Roman Josi | Flyers | D | 34 | 1990-06-01 | SUI | No | 200 Lbs | 6 ft0 | No | No | N/A | No | No | 5 | False | False | Pro & Farm | 11,000,000$ | 11,000,000$ | 11,000,000$ | No | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | - | - | - | - | - | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Link / NHL Link | ||
Ryan Suter | Flyers | D | 39 | 1985-01-21 | USA | No | 200 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,650,000$ | 3,650,000$ | 3,650,000$ | No | 3,650,000$ | - | - | - | - | - | - | - | - | 3,650,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Seth Jones | Flyers | D | 29 | 1994-10-03 | USA | No | 213 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 8,750,000$ | 8,750,000$ | 8,750,000$ | No | 8,750,000$ | 8,750,000$ | 8,750,000$ | - | - | - | - | - | - | 8,750,000$ | 8,750,000$ | 8,750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | ||
Tyler Myers | Flyers | D | 34 | 1990-02-01 | USA | No | 228 Lbs | 6 ft7 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 3,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
18 | 31.67 | 198 Lbs | 6 ft1 | 2.44 | 4,701,389$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
84,625,000$ | 65,875,000$ | 45,650,000$ | 22,750,000$ | 14,000,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Marcus Johansson | Nazem Kadri | Gustav Nyquist | 35 | 1 | 2 | 2 |
2 | Jaden Schwartz | Brayden Schenn | 32 | 1 | 2 | 2 | |
3 | Anthony Beauvillier | Phillip Danault | Mason Appleton | 23 | 1 | 2 | 2 |
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Roman Josi | Seth Jones | 35 | 0 | 2 | 3 | |
2 | Tyler Myers | Erik Gudbranson | 34 | 1 | 2 | 2 | |
3 | Nick Perbix | 21 | 1 | 2 | 2 | ||
4 | Roman Josi | Seth Jones | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Marcus Johansson | Nazem Kadri | Gustav Nyquist | 55 | 0 | 0 | 5 |
2 | Anthony Beauvillier | Brayden Schenn | 45 | 0 | 0 | 5 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Roman Josi | Seth Jones | 53 | 1 | 0 | 4 | |
2 | Tyler Myers | Erik Gudbranson | 47 | 1 | 0 | 4 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nazem Kadri | Marcus Johansson | 60 | 0 | 5 | 0 |
2 | Brayden Schenn | Anthony Beauvillier | 40 | 1 | 4 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Roman Josi | Seth Jones | 60 | 1 | 4 | 0 |
2 | Tyler Myers | Erik Gudbranson | 40 | 1 | 4 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Nazem Kadri | 60 | 1 | 4 | 0 | Roman Josi | 60 | 1 | 4 | 0 | |
2 | Brayden Schenn | 40 | 1 | 4 | 0 | Tyler Myers | Erik Gudbranson | 40 | 1 | 4 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nazem Kadri | Marcus Johansson | 60 | 1 | 2 | 2 |
2 | Brayden Schenn | Anthony Beauvillier | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Roman Josi | Seth Jones | 60 | 1 | 2 | 2 |
2 | Tyler Myers | Erik Gudbranson | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Marcus Johansson | Nazem Kadri | Gustav Nyquist | Roman Josi |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Marcus Johansson | Nazem Kadri | Gustav Nyquist | Roman Josi |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jaden Schwartz, Marcus Johansson, Anthony Beauvillier | Jaden Schwartz, Marcus Johansson | Jaden Schwartz |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Erik Gudbranson, Nick Perbix, | Erik Gudbranson | Erik Gudbranson, Nick Perbix |
Penalty Shots |
---|
Nazem Kadri, Brayden Schenn, Phillip Danault, Gustav Nyquist, Jaden Schwartz |
Goalie |
---|
#1 : , #2 : Philipp Grubauer |
Custom OT Lines Forwards |
---|
Nazem Kadri, Brayden Schenn, Phillip Danault, Gustav Nyquist, Jaden Schwartz, Marcus Johansson, Marcus Johansson, Anthony Beauvillier, , , Mason Appleton |
Custom OT Lines Defensemen |
---|
Roman Josi, , Tyler Myers, Erik Gudbranson, Nick Perbix |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
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Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
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Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|---|---|---|---|---|---|---|---|---|---|
2 | 5 | Flyers | - | Capitals | - | |||||
3 | 14 | Flyers | - | Canadiens | - | |||||
6 | 37 | Islanders | - | Flyers | - | |||||
8 | 49 | Bruins | - | Flyers | - | |||||
10 | 63 | Flyers | - | Islanders | - | |||||
11 | 72 | Flyers | - | Bruins | - | |||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
13 | 82 | Devils | - | Flyers | - |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6000 | 5000 | 3000 | 4000 | 1000 |
Ticket Price | 75 | 47 | 26 | 15 | 192 |
Attendance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
3 | 0 - 0% | 0$ | 0$ | 19000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
0$ | 84,625,000$ | 84,625,000$ | 500,000$0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 18 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 15 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 71,204,238$ | 71,204,238$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 83,500,000$ | 83,500,000$ | -61,700,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
---|---|---|---|---|---|---|
Aleksi Malinen | Flyers | 2021 | 189 | D | Link | |
Barrett Hall | Flyers | 2022 | 164 | LW | Link | |
Bryce Misley | Flyers | 2017 | 116 | C | Link | |
Casey Staum | Flyers | 2016 | 124 | D | Link | |
Cedrick Guindon | Flyers | 2022 | 127 | C | Link | |
Jack Adams | Flyers | 2017 | 162 | C | Link | |
Jack Thompson | Flyers | 2020 | 93 | D | Link | |
Jesper Vikman | Flyers | 2020 | 125 | G | Link | |
Landon Slaggert | Flyers | 2020 | 79 | LW | Link | |
Linus Cronholm | Flyers | 2018 | 117 | D | Link | |
Matthew Cairns | Flyers | 2016 | 84 | D | Link | |
Nicklaus Perbix | Flyers | 2017 | 169 | D | Link | |
Owen Bartoszkiewicz | Flyers | 2021 | 500 | G | Link | |
Parker Bell | Flyers | 2022 | 155 | LW | Link | |
Peter Thome | Flyers | 2016 | 155 | G | Link | |
Philippe Daoust | Flyers | 2020 | 158 | C | Link | |
Sean Tschigerl | Flyers | 2021 | 130 | LW | Link | |
William Trudeau | Flyers | 2021 | 113 | D | Link | |
William Von Barnekow | Flyers | 2021 | 161 | C | Link |
Year | R1 | |||
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25 | ||||
26 | ||||
27 | ||||
28 | ||||
29 | ||||
Conditional Draft Picks |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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