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Full Scoreboard »» |
Philadelphia Flyers 36-16-3, 75pts · 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 93 | C | 100.00 | 69 | 41 | 85 | 83 | 82 | 84 | 76 | 81 | 87 | 83 | 96 | 89 | 82 | 73 | 77 | 0 | 81 | 94 | 27 | 5,350,000$/2yrs | |||
![]() | 91 | C/LW/RW | 100.00 | 73 | 43 | 82 | 87 | 76 | 89 | 81 | 86 | 83 | 85 | 88 | 69 | 87 | 78 | 91 | 0 | 81 | 94 | 30 | 8,500,000$/4yrs | |||
![]() | 17 | LW/RW | 100.00 | 68 | 40 | 85 | 72 | 77 | 83 | 87 | 71 | 53 | 74 | 80 | 78 | 75 | 79 | 77 | 0 | 81 | 85 | 31 | 4,450,000$/3yrs | |||
![]() | 71 | C | 100.00 | 79 | 40 | 80 | 73 | 74 | 82 | 87 | 71 | 80 | 77 | 72 | 90 | 73 | 65 | 66 | 0 | 81 | 85 | 23 | 5,500,000$/6yrs | |||
![]() | 18 | LW | 100.00 | 86 | 39 | 84 | 74 | 71 | 83 | 88 | 72 | 54 | 75 | 73 | 81 | 74 | 77 | 71 | 0 | 81 | 85 | 29 | 5,300,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 86 | 49 | 85 | 73 | 76 | 85 | 87 | 71 | 53 | 74 | 75 | 68 | 72 | 86 | 77 | 0 | 57 | 84 | 35 | 5,875,000$/2yrs | |||
![]() | 17 | RW | 100.00 | 83 | 40 | 85 | 68 | 76 | 81 | 88 | 66 | 54 | 70 | 67 | 88 | 69 | 77 | 67 | 0 | 81 | 83 | 28 | 2,000,000$/3yrs | |||
![]() | 97 | LW/RW | 100.00 | 52 | 37 | 87 | 77 | 62 | 79 | 85 | 76 | 54 | 79 | 69 | 59 | 78 | 75 | 72 | 0 | 81 | 83 | 28 | 4,750,000$/3yrs | |||
![]() | 14 | LW/RW | 100.00 | 81 | 42 | 76 | 72 | 81 | 77 | 84 | 71 | 56 | 70 | 67 | 73 | 72 | 77 | 67 | 0 | 80 | 82 | 29 | 2,750,000$/3yrs | |||
![]() | 25 | C/LW | 100.00 | 56 | 28 | 93 | 70 | 86 | 89 | 91 | 71 | 76 | 75 | 66 | 71 | 70 | 66 | 70 | 0 | 81 | 81 | 26 | 1,200,000$/1yrs | |||
![]() | 39 | LW/RW | 100.00 | 73 | 43 | 78 | 69 | 88 | 78 | 85 | 67 | 53 | 68 | 72 | 60 | 67 | 78 | 73 | 0 | 81 | 80 | 30 | 2,150,000$/1yrs | |||
![]() | 28 | C/LW/RW | 100.00 | 83 | 45 | 89 | 66 | 83 | 75 | 86 | 65 | 77 | 63 | 64 | 76 | 65 | 71 | 67 | 0 | 81 | 79 | 26 | 1,500,000$/4yrs | |||
![]() | 59 | D | 100.00 | 64 | 44 | 75 | 80 | 78 | 93 | 88 | 79 | 30 | 90 | 78 | 82 | 63 | 78 | 86 | 0 | 81 | 91 | 30 | 9,000,000$/8yrs | |||
![]() | 6 | D | 100.00 | 82 | 49 | 83 | 65 | 91 | 87 | 85 | 63 | 30 | 74 | 62 | 90 | 51 | 80 | 73 | 0 | 80 | 85 | 32 | 6,000,000$/3yrs | |||
![]() | 23 | D | 100.00 | 58 | 39 | 80 | 76 | 70 | 85 | 88 | 74 | 30 | 82 | 69 | 68 | 57 | 63 | 66 | 0 | 81 | 85 | 22 | 925,000$/2yrs | |||
![]() | 44 | D | 100.00 | 91 | 39 | 84 | 66 | 76 | 85 | 78 | 64 | 30 | 72 | 54 | 82 | 48 | 77 | 69 | 0 | 81 | 83 | 29 | 4,550,000$/2yrs | |||
![]() | 27 | D | 100.00 | 57 | 39 | 83 | 68 | 79 | 87 | 72 | 67 | 30 | 80 | 56 | 85 | 50 | 73 | 67 | 0 | 81 | 83 | 27 | 4,600,000$/1yrs | |||
![]() | 25 | D | 100.00 | 79 | 48 | 82 | 63 | 85 | 84 | 77 | 62 | 30 | 70 | 55 | 73 | 51 | 69 | 65 | 0 | 81 | 79 | 25 | 1,600,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 73 | 41 | 83 | 72 | 78 | 84 | 84 | 71 | 53 | 76 | 70 | 77 | 67 | 75 | 72 | 0 | 80 | 85 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 34 | 100.00 | 93 | 95 | 93 | 75 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 75 | 81 | 0 | 73 | 90 | 28 | 3,125,000$/1yrs |
![]() | 30 | 100.00 | 81 | 85 | 83 | 84 | 80 | 79 | 81 | 80 | 79 | 81 | 80 | 73 | 77 | 0 | 78 | 82 | 27 | 1,300,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 87 | 90 | 88 | 80 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 74 | 79 | 0 | 76 | 86 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jim Montgomery | 80 | 91 | 75 | 81 | 75 | 70 | 75 | CAN | 50 | 1 | 500,000$ |
General Manager | Pierre-Etienne Jobin |
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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 | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mika Zibanejad | 93 | C | 55 | 28 | 32 | 60 | 26 | 28 | 0 | 70 | 255 | 75 | 180 | 10.98% | 16 | 22.85 | 7 | 12 | 19 | 181 | 3 | 0 | 3 | 176 | 8 | 2 | 52.27% | 1693 | 0 | 0 | 0 | 0 | 0.95 | 2 | 2 | ||
2 | Roman Josi | 59 | D | 55 | 6 | 40 | 46 | 28 | 25 | 5 | 53 | 102 | 35 | 72 | 5.88% | 84 | 26.16 | 4 | 15 | 19 | 192 | 0 | 2 | 2 | 197 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
3 | Steven Stamkos | 91 | C/LW/RW | 55 | 20 | 24 | 44 | 21 | 24 | 0 | 76 | 195 | 60 | 124 | 10.26% | 11 | 19.75 | 4 | 7 | 11 | 190 | 0 | 0 | 0 | 0 | 3 | 0 | 51.70% | 147 | 0 | 0 | 0 | 0 | 0.81 | 2 | 2 | ||
4 | Anthony Cirelli | 71 | C | 55 | 20 | 21 | 41 | 7 | 46 | 0 | 129 | 168 | 61 | 150 | 11.90% | 20 | 20.33 | 10 | 4 | 14 | 180 | 0 | 1 | 1 | 168 | 3 | 1 | 49.25% | 1529 | 0 | 0 | 0 | 1 | 0.73 | 0 | 0 | ||
5 | Ryan Murray | 27 | D | 55 | 5 | 31 | 36 | 7 | 18 | 0 | 57 | 56 | 20 | 37 | 8.93% | 64 | 20.78 | 3 | 16 | 19 | 170 | 0 | 1 | 1 | 169 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
6 | Ondrej Palat | 18 | LW | 55 | 14 | 18 | 32 | 24 | 52 | 0 | 135 | 134 | 40 | 103 | 10.45% | 10 | 19.69 | 6 | 7 | 13 | 166 | 0 | 0 | 0 | 69 | 3 | 1 | 32.26% | 93 | 0 | 0 | 0 | 1 | 0.59 | 0 | 0 | ||
7 | Adam Fox | 23 | D | 55 | 4 | 23 | 27 | 7 | 30 | 0 | 65 | 50 | 20 | 46 | 8.00% | 23 | 18.15 | 2 | 7 | 9 | 170 | 0 | 0 | 0 | 1 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
8 | Alex Killorn | 17 | LW/RW | 55 | 11 | 14 | 25 | 9 | 22 | 0 | 60 | 159 | 44 | 99 | 6.92% | 9 | 19.37 | 1 | 7 | 8 | 180 | 0 | 0 | 0 | 124 | 4 | 1 | 48.35% | 91 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
9 | Nikita Gusev | 97 | LW/RW | 55 | 13 | 9 | 22 | 4 | 2 | 0 | 6 | 72 | 15 | 39 | 18.06% | 6 | 17.25 | 6 | 3 | 9 | 178 | 0 | 0 | 0 | 14 | 2 | 1 | 44.83% | 87 | 0 | 0 | 0 | 1 | 0.46 | 0 | 0 | ||
10 | Dustin Brown | 0 | LW/RW | 54 | 11 | 8 | 19 | -4 | 50 | 0 | 92 | 77 | 16 | 59 | 14.29% | 5 | 13.64 | 4 | 2 | 6 | 127 | 0 | 0 | 0 | 18 | 1 | 1 | 43.55% | 62 | 0 | 0 | 0 | 0 | 0.52 | 0 | 1 | ||
11 | Erik Johnson | 6 | D | 55 | 2 | 17 | 19 | 24 | 111 | 25 | 172 | 50 | 21 | 33 | 4.00% | 82 | 23.36 | 0 | 2 | 2 | 88 | 0 | 0 | 0 | 171 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
12 | Mikhail Grigorenko | 25 | C/LW | 55 | 7 | 12 | 19 | 0 | 2 | 0 | 2 | 76 | 22 | 41 | 9.21% | 4 | 9.59 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 48.01% | 602 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
13 | Jesper Fast | 17 | RW | 55 | 8 | 6 | 14 | 4 | 28 | 0 | 60 | 53 | 24 | 47 | 15.09% | 8 | 11.74 | 0 | 0 | 0 | 1 | 1 | 2 | 3 | 175 | 1 | 1 | 37.50% | 56 | 0 | 0 | 1 | 0 | 0.43 | 0 | 0 | ||
14 | Richard Panik | 14 | LW/RW | 55 | 4 | 9 | 13 | 7 | 19 | 5 | 32 | 51 | 17 | 34 | 7.84% | 2 | 8.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 41.67% | 36 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
15 | Alex Chiasson | 39 | LW/RW | 55 | 6 | 6 | 12 | -3 | 10 | 0 | 29 | 39 | 9 | 30 | 15.38% | 0 | 7.78 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 4 | 3 | 0 | 36.00% | 25 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
16 | Calvin de Haan | 44 | D | 55 | 1 | 9 | 10 | -1 | 52 | 0 | 116 | 20 | 8 | 12 | 5.00% | 65 | 16.36 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 171 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
17 | Mirco Mueller | 25 | D | 55 | 2 | 6 | 8 | -1 | 12 | 0 | 38 | 19 | 3 | 5 | 10.53% | 32 | 13.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
18 | Zemgus Girgensons | 28 | C/LW/RW | 55 | 4 | 4 | 8 | -2 | 6 | 0 | 26 | 43 | 9 | 27 | 9.30% | 4 | 6.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.25% | 273 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
Team Total or Average | 989 | 166 | 289 | 455 | 157 | 537 | 35 | 1218 | 1619 | 499 | 1138 | 10.25% | 445 | 16.40 | 47 | 82 | 129 | 1836 | 4 | 6 | 10 | 1519 | 34 | 9 | 49.36% | 4694 | 0 | 0 | 1 | 3 | 0.56 | 4 | 5 |
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 | Petr Mrazek | 35 | 20 | 13 | 1 | 0.917 | 2.37 | 2028 | 4 | 0 | 80 | 965 | 0 | 0 | 0 | 0.667 | 3 | 34 | 21 | 1 | 1 | 4 | |
2 | Laurent Brossoit | 23 | 16 | 3 | 2 | 0.935 | 1.81 | 1295 | 2 | 4 | 39 | 597 | 0 | 0 | 0 | 0.667 | 3 | 21 | 34 | 2 | 4 | 0 | |
Team Total or Average | 58 | 36 | 16 | 3 | 0.924 | 2.15 | 3324 | 6 | 4 | 119 | 1562 | 0 | 0 | 0 | 0.667 | 6 | 55 | 55 | 3 | 5 | 4 |
Projected Total Cap Hit | 80,425,000$ |
Projected Cap Space | 1,075,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 52,205,048$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Flyers Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Alex Chiasson | LW/RW | 30 | 2,150,000$ | 2,150,000$ | UFA | ||||||
Alex Killorn | LW/RW | 31 | 4,450,000$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | UFA | ||||
Anthony Cirelli | C | 23 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |
Calvin de Haan | D | 29 | 4,550,000$ | 4,550,000$ | 4,550,000$ | UFA | |||||
Dustin Brown | LW/RW | 35 | 5,875,000$ | 5,875,000$ | 5,875,000$ | UFA | |||||
Erik Johnson | D | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Jesper Fast | RW | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Laurent Brossoit ![]() | G | 27 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Mika Zibanejad | C | 27 | 5,350,000$ | 5,350,000$ | 5,350,000$ | UFA | |||||
Mikhail Grigorenko ![]() | C/LW | 26 | 1,200,000$ | 1,200,000$ | ![]() | ||||||
Mirco Mueller | D | 25 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ![]() | |||||
Nikita Gusev | LW/RW | 28 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||||
Ondrej Palat | LW | 29 | 5,300,000$ | 5,300,000$ | 5,300,000$ | UFA | |||||
Petr Mrazek | G | 28 | 3,125,000$ | 3,125,000$ | UFA | ||||||
Richard Panik | LW/RW | 29 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||
Roman Josi | D | 30 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ |
Ryan Murray | D | 27 | 4,600,000$ | 4,600,000$ | ![]() | ||||||
Steven Stamkos | C/LW/RW | 30 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |||
Zemgus Girgensons | C/LW/RW | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Lintuniemi ![]() | D | 25 | 700,000$ | 700,000$ | ![]() | ||||||
Andrew Poturalski ![]() | C | 26 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | UFA | ||||
Cal Petersen ![]() | G | 26 | 858,333$ | 858,333$ | 858,333$ | ![]() | |||||
Derek Forbort ![]() | D | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Dmitry Kulikov ![]() | D | 29 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Dylan Sikura ![]() | C/LW/RW | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Felix Sandstrom ![]() | G | 23 | 792,500$ | 792,500$ | RFA | ||||||
Greg McKegg ![]() | C | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Jack Rodewald ![]() | RW | 26 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | UFA | ||||
Jake Walman ![]() | D | 24 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | ![]() | ||||
Kevin Connauton ![]() | D | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Kirill Ustimenko ![]() | G | 21 | 825,833$ | 825,833$ | 825,833$ | RFA | |||||
Lawrence Pilut ![]() | D | 24 | 700,000$ | 700,000$ | ![]() | ||||||
Luke Schenn ![]() | D | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Mason Shaw ![]() | C | 21 | 792,500$ | 792,500$ | RFA | ||||||
Michael Bunting ![]() | LW | 25 | 737,500$ | 737,500$ | ![]() | ||||||
Michael Stone ![]() | D | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Nolan Stevens ![]() | C | 24 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | ![]() | ||||
Ostap Safin ![]() | LW/RW | 21 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Peyton Krebs ![]() | C/LW | 19 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Reid Boucher ![]() | LW/RW | 27 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | UFA | ||||
Rocco Grimaldi ![]() | LW/RW | 27 | 700,000$ | 700,000$ | UFA | ||||||
Ryan Murphy ![]() | D | 27 | 700,000$ | 700,000$ | UFA | ||||||
Sam Gagner ![]() | C/LW/RW | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Stefan Noesen ![]() | RW | 27 | 900,000$ | 900,000$ | UFA | ||||||
T.J. Tynan ![]() | C | 28 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
Vladislav Kolyachonok ![]() | D | 19 | 700,000$ | 700,000$ | RFA | ||||||
Wade Allison ![]() | RW | 23 | 925,000$ | 925,000$ | 925,000$ | RFA |
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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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1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 38 | 12 | 15 | 11 | 0 | 19 | 7 | 10 | 22 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 26 | 19 | 20 | 6 | 12 | 6 | 75.0% | 7.9% | 94.7% | 102.6 | DULL | |
2 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 6 | 6 | 6 | 0.750 | 12 | 22 | 34 | 0 | 0 | 4 | 4 | 4 | 0 | 106 | 33 | 38 | 35 | 0 | 96 | 38 | 44 | 87 | 17 | 5 | 29.41% | 18 | 2 | 88.89% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 99 | 69 | 91 | 28 | 49 | 24 | 63.6% | 11.3% | 93.8% | 105.1 | LUCKY | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 30 | 8 | 11 | 11 | 0 | 34 | 7 | 8 | 26 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 25 | 17 | 22 | 6 | 12 | 6 | 60.0% | 10.0% | 94.1% | 104.1 | LUCKY | |
4 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 14 | -5 | 2 | 0.200 | 9 | 16 | 25 | 0 | 0 | 4 | 2 | 3 | 0 | 134 | 42 | 37 | 55 | 0 | 150 | 48 | 44 | 121 | 24 | 3 | 12.50% | 21 | 4 | 80.95% | 1 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 117 | 78 | 118 | 38 | 63 | 32 | 37.5% | 6.7% | 90.7% | 97.4 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 27 | 11 | 7 | 9 | 0 | 27 | 10 | 10 | 24 | 3 | 2 | 66.67% | 5 | 1 | 80.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 24 | 16 | 21 | 7 | 14 | 7 | 66.7% | 14.8% | 92.6% | 107.4 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 35 | 17 | 8 | 10 | 0 | 36 | 10 | 8 | 24 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 26 | 18 | 21 | 7 | 12 | 6 | 20.0% | 2.9% | 88.9% | 91.7 | Unlucky | |
7 | 5 | 4 | 0 | 0 | 1 | 0 | 0 | 0 | 18 | 7 | 11 | 10 | 1.000 | 18 | 32 | 50 | 0 | 1 | 7 | 6 | 4 | 1 | 143 | 58 | 43 | 41 | 1 | 125 | 34 | 44 | 105 | 15 | 3 | 20.00% | 22 | 2 | 90.91% | 1 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 132 | 93 | 106 | 35 | 64 | 33 | 75.0% | 12.6% | 94.4% | 107.0 | LUCKY | |
8 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 11 | 2 | 4 | 0.500 | 13 | 23 | 36 | 0 | 0 | 7 | 2 | 4 | 0 | 108 | 39 | 34 | 35 | 0 | 130 | 31 | 24 | 73 | 21 | 4 | 19.05% | 12 | 3 | 75.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 95 | 66 | 94 | 29 | 50 | 25 | 52.9% | 12.0% | 91.5% | 103.6 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 43 | 10 | 22 | 11 | 0 | 33 | 7 | 8 | 26 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 24 | 17 | 24 | 6 | 11 | 5 | 66.7% | 11.6% | 93.9% | 105.6 | LUCKY | |
10 | 5 | 0 | 1 | 0 | 1 | 2 | 1 | 0 | 14 | 16 | -2 | 6 | 0.600 | 14 | 23 | 37 | 0 | 0 | 4 | 4 | 4 | 3 | 144 | 53 | 43 | 42 | 8 | 183 | 53 | 67 | 103 | 12 | 1 | 8.33% | 29 | 9 | 68.97% | 1 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 123 | 85 | 126 | 37 | 62 | 29 | 65.0% | 9.7% | 91.3% | 101.0 | LUCKY | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 5 | 7 | 7 | 0 | 28 | 11 | 10 | 20 | 6 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 22 | 15 | 24 | 7 | 12 | 6 | 0.0% | 0.0% | 92.9% | 92.9 | DULL | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 51 | 17 | 16 | 18 | 0 | 57 | 16 | 41 | 42 | 8 | 2 | 25.00% | 13 | 1 | 92.31% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 45 | 30 | 48 | 15 | 25 | 12 | 40.0% | 7.8% | 93.0% | 100.8 | DULL | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 0 | 3 | 0 | 31 | 12 | 5 | 14 | 0 | 37 | 3 | 6 | 28 | 6 | 3 | 50.00% | 3 | 1 | 66.67% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 23 | 15 | 23 | 8 | 13 | 6 | 66.7% | 16.1% | 94.6% | 110.7 | LUCKY | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 40 | 12 | 17 | 11 | 0 | 20 | 4 | 4 | 28 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 27 | 20 | 20 | 6 | 11 | 6 | 25.0% | 5.0% | 85.0% | 90.0 | Unlucky | |
15 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 8 | 9 | -1 | 2 | 0.333 | 8 | 14 | 22 | 0 | 0 | 2 | 2 | 3 | 2 | 87 | 37 | 25 | 24 | 3 | 70 | 34 | 36 | 58 | 13 | 3 | 23.08% | 12 | 3 | 75.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 77 | 54 | 69 | 21 | 38 | 19 | 45.5% | 9.2% | 87.1% | 96.3 | FUN | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 26 | 8 | 10 | 8 | 0 | 23 | 8 | 10 | 21 | 7 | 3 | 42.86% | 4 | 0 | 100.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 25 | 17 | 22 | 7 | 11 | 6 | 66.7% | 19.2% | 95.7% | 114.9 | LUCKY | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 31 | 10 | 11 | 10 | 0 | 30 | 7 | 13 | 31 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 26 | 18 | 21 | 6 | 12 | 6 | 75.0% | 12.9% | 96.7% | 109.6 | LUCKY | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 38 | 11 | 16 | 11 | 0 | 21 | 9 | 6 | 14 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 25 | 18 | 21 | 6 | 12 | 6 | 50.0% | 10.5% | 90.5% | 101.0 | FUN | |
19 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 1 | 1 | 31 | 10 | 7 | 10 | 4 | 44 | 5 | 14 | 25 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 23 | 15 | 26 | 8 | 14 | 6 | 66.7% | 9.7% | 95.5% | 105.1 | LUCKY | |
20 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 1 | 1 | 29 | 14 | 5 | 9 | 1 | 36 | 12 | 14 | 25 | 4 | 1 | 25.00% | 7 | 3 | 57.14% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 23 | 15 | 24 | 7 | 12 | 6 | 100.0% | 13.8% | 91.7% | 105.5 | LUCKY | |
21 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 0.667 | 5 | 8 | 13 | 0 | 1 | 2 | 1 | 2 | 0 | 90 | 33 | 23 | 34 | 0 | 89 | 22 | 16 | 67 | 12 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 71 | 50 | 72 | 22 | 36 | 18 | 55.6% | 5.6% | 95.5% | 101.1 | DULL | |
22 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 6 | 12 | 8 | 1.000 | 18 | 30 | 48 | 0 | 0 | 9 | 4 | 5 | 0 | 119 | 43 | 38 | 38 | 0 | 105 | 27 | 28 | 85 | 14 | 3 | 21.43% | 14 | 2 | 85.71% | 1 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 99 | 71 | 90 | 28 | 50 | 24 | 78.9% | 15.1% | 94.3% | 109.4 | LUCKY | |
23 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 33 | 13 | 9 | 11 | 0 | 28 | 6 | 10 | 17 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 25 | 18 | 24 | 7 | 12 | 6 | 42.9% | 12.1% | 82.1% | 94.3 | FUN | |
24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 24 | 7 | 12 | 5 | 0 | 25 | 2 | 10 | 20 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 27 | 19 | 20 | 7 | 12 | 6 | 75.0% | 12.5% | 92.0% | 104.5 | LUCKY | |
25 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 6 | 0.750 | 11 | 18 | 29 | 0 | 2 | 4 | 6 | 1 | 0 | 122 | 36 | 47 | 39 | 0 | 72 | 24 | 38 | 93 | 16 | 5 | 31.25% | 11 | 1 | 90.91% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 95 | 66 | 92 | 31 | 52 | 26 | 60.0% | 9.0% | 93.1% | 102.1 | LUCKY | |
26 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 2 | 1 | 31 | 7 | 11 | 11 | 2 | 44 | 10 | 2 | 18 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 21 | 15 | 26 | 8 | 12 | 6 | 50.0% | 12.9% | 93.2% | 106.1 | LUCKY | |
_Vs Division | 28 | 16 | 7 | 0 | 2 | 2 | 1 | 0 | 86 | 56 | 30 | 40 | 0.714 | 86 | 149 | 235 | 0 | 3 | 33 | 27 | 23 | 4 | 795 | 276 | 253 | 259 | 9 | 758 | 234 | 275 | 618 | 101 | 22 | 21.78% | 120 | 21 | 82.50% | 4 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 692 | 482 | 646 | 207 | 356 | 179 | 64.6% | 10.8% | 92.6% | 103.4 | LUCKY | |
_Vs Conference | 42 | 22 | 12 | 0 | 4 | 2 | 2 | 0 | 127 | 89 | 38 | 58 | 0.690 | 127 | 219 | 346 | 0 | 4 | 48 | 37 | 36 | 8 | 1213 | 427 | 380 | 393 | 17 | 1194 | 352 | 395 | 918 | 163 | 32 | 19.63% | 171 | 31 | 81.87% | 4 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 1032 | 720 | 980 | 311 | 532 | 268 | 62.1% | 10.5% | 92.5% | 103.0 | LUCKY | |
_Since Last GM Reset | 55 | 29 | 16 | 0 | 5 | 3 | 2 | 0 | 166 | 119 | 47 | 75 | 0.682 | 166 | 289 | 455 | 0 | 4 | 57 | 49 | 53 | 9 | 1610 | 558 | 517 | 520 | 19 | 1562 | 445 | 525 | 1203 | 220 | 46 | 20.91% | 222 | 35 | 84.23% | 4 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 1356 | 946 | 1278 | 407 | 693 | 351 | 58.8% | 10.3% | 92.4% | 102.7 | LUCKY | |
Total | 55 | 29 | 16 | 0 | 5 | 3 | 2 | 0 | 166 | 119 | 47 | 75 | 0.682 | 166 | 289 | 455 | 0 | 4 | 57 | 49 | 53 | 9 | 1610 | 558 | 517 | 520 | 19 | 1562 | 445 | 525 | 1203 | 220 | 46 | 20.91% | 222 | 35 | 84.23% | 4 | 983 | 1972 | 49.85% | 942 | 1924 | 48.96% | 410 | 802 | 51.12% | 1356 | 946 | 1278 | 407 | 693 | 351 | 58.8% | 10.3% | 92.4% | 102.7 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1972 |
Neutral Zone Start | 802 |
Defensive Zone Start | 1924 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2335 |
Faceoffs Lost | 2363 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.1 | 9.57 |
2nd Period | 19.5 | 20.31 |
3rd Period | 29.0 | 30.68 |
Overtime | 29.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 116 |
---|---|
PP Goal | 46 |
PK Goal | 4 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 16 | 20 |
Lost | 9 | 7 |
Overtime Lost | 2 | 1 |
PP Attempt | 220 |
---|---|
PP Goal | 46 |
PK Attempt | 222 |
PK Goal Against | 35 |
Home | |
---|---|
Shots For | 29.3 |
Shots Against | 28.4 |
Goals For | 3.0 |
Goals Against | 2.2 |
Hits | 21.9 |
Shots Blocked | 8.1 |
Pim | 9.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-10-01 | @ | Flyers3,Penguins4 | RECAP | |||||||||||
2020-10-04 | @ | Rangers2,Flyers3 (OT) | RECAP | |||||||||||
2020-10-06 | @ | Flyers4,Hurricanes2 | RECAP | |||||||||||
2020-10-08 | @ | Devils1,Flyers6 | RECAP | |||||||||||
2020-10-10 | @ | Devils3,Flyers1 | RECAP | |||||||||||
2020-10-11 | @ | Flyers4,Islanders2 | RECAP | |||||||||||
2020-10-14 | @ | Red Wings2,Flyers5 | RECAP | |||||||||||
2020-10-16 | @ | Flyers6,Red Wings2 | RECAP | |||||||||||
2020-10-18 | @ | Flyers0,Islanders1 | RECAP | |||||||||||
2020-10-19 | @ | Flyers2,Penguins1 | RECAP | |||||||||||
2020-10-22 | @ | Capitals4,Flyers3 (OT) | RECAP | |||||||||||
2020-10-23 | @ | Flyers6,Rangers2 | RECAP | |||||||||||
2020-10-25 | @ | Blue Jackets1,Flyers4 | RECAP | |||||||||||
2020-10-28 | @ | Red Wings2,Flyers0 | RECAP | |||||||||||
2020-10-30 | @ | Flyers5,Blue Jackets1 | RECAP | |||||||||||
2020-10-31 | @ | Flyers3,Capitals2 (OT) | RECAP | |||||||||||
2020-11-02 | @ | Islanders3,Flyers1 | RECAP | |||||||||||
2020-11-05 | @ | Senators2,Flyers3 | RECAP | |||||||||||
2020-11-07 | @ | Flyers3,Stars2 | RECAP | |||||||||||
2020-11-09 | @ | Flyers2,Devils1 | RECAP | |||||||||||
2020-11-11 | @ | Lightning2,Flyers3 (SO) | RECAP | |||||||||||
2020-11-13 | @ | Flyers3,Devils1 | RECAP | |||||||||||
2020-11-16 | @ | Avalanche4,Flyers1 | RECAP | |||||||||||
2020-11-18 | @ | Flyers3,Panthers0 | RECAP | |||||||||||
2020-11-20 | @ | Flyers4,Coyotes2 | RECAP | |||||||||||
2020-11-21 | @ | Capitals3,Flyers1 | RECAP | |||||||||||
2020-11-24 | @ | Kings2,Flyers5 | RECAP | |||||||||||
2020-11-26 | @ | Flyers2,Penguins0 | RECAP | |||||||||||
2020-11-28 | @ | Islanders3,Flyers2 | RECAP | |||||||||||
2020-11-30 | @ | Flyers0,Wild2 | RECAP | |||||||||||
2020-12-02 | @ | Flyers4,Sharks3 (OT) | RECAP | |||||||||||
2020-12-03 | @ | Rangers0,Flyers3 | RECAP | |||||||||||
2020-12-06 | @ | Flyers3,Lightning4 | RECAP | |||||||||||
2020-12-07 | @ | Blues1,Flyers4 | RECAP | |||||||||||
2020-12-11 | @ | Lightning3,Flyers2 | RECAP | |||||||||||
2020-12-13 | @ | Flyers5,Canadiens2 | RECAP | |||||||||||
2020-12-15 | @ | Canucks3,Flyers2 | RECAP | |||||||||||
2020-12-17 | @ | Flyers2,Islanders5 | RECAP | |||||||||||
2020-12-20 | @ | Predators3,Flyers2 | RECAP | |||||||||||
2020-12-22 | @ | Flyers3,Rangers2 | RECAP | |||||||||||
2020-12-24 | @ | Rangers1,Flyers3 | RECAP | |||||||||||
2020-12-26 | @ | Flyers5,Oilers1 | RECAP | |||||||||||
2020-12-27 | @ | Penguins0,Flyers4 | RECAP | |||||||||||
2020-12-30 | @ | Flyers3,Bruins2 (OT) | RECAP | |||||||||||
2020-12-31 | @ | Panthers1,Flyers2 | RECAP | |||||||||||
2021-01-02 | @ | Flyers2,Capitals3 (OT) | RECAP | |||||||||||
2021-01-04 | @ | Capitals4,Flyers5 (SO) | RECAP | |||||||||||
2021-01-08 | @ | Flames1,Flyers3 | RECAP | |||||||||||
2021-01-10 | @ | Flyers2,Red Wings5 | RECAP | |||||||||||
2021-01-12 | @ | Blue Jackets2,Flyers4 | RECAP | |||||||||||
2021-01-15 | @ | Ducks5,Flyers4 (OT) | RECAP | |||||||||||
2021-01-17 | @ | Flyers2,Canucks1 | RECAP | |||||||||||
2021-01-19 | @ | Flyers4,Sabres3 (OT) | RECAP | |||||||||||
2021-01-21 | @ | Flyers0,Panthers3 | RECAP | |||||||||||
2021-01-22 | @ | Blue Jackets2,Flyers5 | RECAP | |||||||||||
2021-01-25 | @ | |||||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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2021-02-24 | @ | |||||||||||||
2021-02-26 | @ | |||||||||||||
2021-02-28 | @ | |||||||||||||
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2021-03-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,425,000$ | 0$ | 80,425,000$ | 1,075,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Wells Fargo Center | |
City | Philadelphia | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 154419 | 129309 | 51396 | 101472 | 25522 |
Attendance PCT | 95.32% | 95.78% | 95.18% | 93.96% | 94.53% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
14 | 17115 - 95.09% | 1,511,134$ | 40,800,627$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,425,000$ | 80,425,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
52,526,347$ | 80,425,000$ | 52,205,048$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
21,155,881$ | 64 | 452,095$ | 28,934,080$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
29,792,146$ | 80,425,000$ | 55,352,701$ | 46,716,436$ |
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 | Ronde 6 | Ronde 7 |
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2024 | |||||||
2025 |
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 |
---|---|---|---|---|---|
Amir Miftakhov | 2020 | 150 | |||
Brayden Peters | 2020 | 187 | |||
Chase McLane | |||||
Garin Bjorklund | 2020 | 145 | |||
Henry Thrun | 2019 | 104 | |||
Ivan Nalimov | 7.0 - 4.5 | ||||
Jake Boltmann | |||||
Juho Markkanen | 2020 | 181 | |||
Kasper Puutio | 2020 | 119 | |||
Logan Neaton | 2019 | 166 | |||
Marcus Davidsson | 6.0 - 5.0 | ||||
Maxim Cajkovic | 2019 | 73 | 6.5 - 5.0 | ||
Nick Abruzzese | 2019 | 135 | |||
Robin Salo | 4.5 - 4.0 | ||||
Ty Smilanic | 2020 | 57 | |||
Will Cranley | 2020 | 128 | |||
Yaroslav Likhachyov | 2019 | 197 |
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