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Full Scoreboard »» |
Philadelphia Flyers 42-21-5, 89pts · 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 | 97.00 | 64 | 33 | 89 | 80 | 80 | 89 | 90 | 78 | 86 | 81 | 80 | 78 | 79 | 79 | 90 | 0 | 79 | 89 | 31 | 8,500,000$/4yrs | |||
![]() | 91 | C/LW/RW | 97.00 | 67 | 32 | 85 | 78 | 71 | 86 | 90 | 79 | 82 | 78 | 86 | 59 | 83 | 84 | 99 | 0 | 78 | 88 | 35 | 7,500,000$/3yrs | |||
![]() | 71 | C/RW | 98.00 | 61 | 32 | 80 | 78 | 74 | 87 | 90 | 77 | 88 | 77 | 79 | 79 | 72 | 82 | 70 | 0 | 79 | 86 | 27 | 5,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 32 | 96 | 75 | 70 | 85 | 90 | 76 | 59 | 82 | 73 | 63 | 75 | 85 | 93 | 0 | 79 | 85 | 35 | 4,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 36 | 84 | 69 | 76 | 84 | 90 | 71 | 86 | 70 | 74 | 84 | 73 | 84 | 94 | 0 | 79 | 84 | 35 | 4,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 69 | 37 | 88 | 70 | 89 | 84 | 90 | 69 | 85 | 67 | 74 | 66 | 72 | 75 | 73 | 0 | 79 | 80 | 30 | 3,150,000$/5yrs | |||
![]() | 21 | C/LW/RW | 100.00 | 71 | 36 | 76 | 67 | 74 | 83 | 88 | 66 | 59 | 70 | 65 | 83 | 65 | 71 | 69 | 0 | 78 | 79 | 28 | 2,950,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 36 | 81 | 66 | 80 | 83 | 90 | 65 | 86 | 61 | 73 | 85 | 69 | 74 | 72 | 0 | 78 | 79 | 29 | 2,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 38 | 83 | 70 | 72 | 83 | 90 | 68 | 59 | 69 | 70 | 63 | 69 | 66 | 64 | 0 | 71 | 78 | 25 | 5,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 84 | 32 | 99 | 60 | 73 | 75 | 90 | 60 | 57 | 59 | 64 | 87 | 62 | 77 | 77 | 0 | 79 | 77 | 31 | 1,250,000$/2yrs | |||
![]() | 0 | C | 100.00 | 76 | 32 | 89 | 59 | 73 | 79 | 87 | 62 | 82 | 63 | 64 | 82 | 63 | 82 | 81 | 0 | 79 | 77 | 34 | 2,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 33 | 91 | 65 | 77 | 79 | 87 | 64 | 59 | 66 | 65 | 66 | 64 | 72 | 71 | 0 | 79 | 76 | 28 | 2,250,000$/3yrs | |||
![]() | 23 | D | 97.00 | 62 | 32 | 83 | 84 | 70 | 95 | 88 | 79 | 30 | 87 | 72 | 82 | 76 | 70 | 68 | 0 | 78 | 91 | 27 | 9,500,000$/5yrs | |||
![]() | 0 | D | 96.00 | 72 | 35 | 82 | 70 | 82 | 94 | 87 | 70 | 30 | 76 | 61 | 79 | 65 | 80 | 78 | 0 | 78 | 85 | 33 | 6,200,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 35 | 81 | 67 | 73 | 93 | 90 | 68 | 30 | 71 | 64 | 82 | 66 | 73 | 71 | 0 | 78 | 82 | 28 | 6,000,000$/7yrs | |||
![]() | 0 | D | 100.00 | 76 | 34 | 86 | 55 | 90 | 89 | 89 | 59 | 30 | 59 | 60 | 80 | 60 | 78 | 77 | 0 | 43 | 76 | 31 | 2,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 33 | 87 | 55 | 77 | 83 | 84 | 59 | 30 | 59 | 57 | 76 | 58 | 81 | 80 | 0 | 78 | 75 | 33 | 1,300,000$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 34 | 89 | 55 | 86 | 85 | 78 | 59 | 30 | 58 | 57 | 77 | 58 | 75 | 74 | 0 | 42 | 74 | 30 | 1,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 82 | 32 | 91 | 62 | 71 | 76 | 90 | 63 | 61 | 62 | 69 | 66 | 66 | 69 | 68 | 0 | 20 | 75 | 26 | 1,300,000$/1yrs | |||
TEAM AVERAGE | 99.21 | 71 | 34 | 86 | 68 | 77 | 85 | 88 | 68 | 59 | 69 | 69 | 76 | 68 | 77 | 77 | 0 | 71 | 81 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 89 | 95 | 85 | 85 | 97 | 85 | 95 | 94 | 94 | 97 | 95 | 79 | 84 | 0 | 80 | 94 | 31 | 7,500,000$/5yrs |
![]() | 0 | 100.00 | 85 | 95 | 85 | 73 | 87 | 81 | 88 | 91 | 88 | 91 | 88 | 73 | 78 | 0 | 55 | 90 | 29 | 3,400,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 81 | 82 | 75 | 79 | 81 | 73 | 82 | 87 | 79 | 87 | 82 | 79 | 83 | 0 | 82 | 85 | 32 | 2,750,000$/1yrs |
TEAM AVERAGE | 100.00 | 85 | 91 | 82 | 79 | 88 | 80 | 88 | 91 | 87 | 92 | 88 | 77 | 82 | 0 | 72 | 90 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Drew Bannister | 80 | 85 | 80 | 95 | 74 | 70 | 77 | CAN | 50 | 5 | 1,000,000$ |
General Manager | Pierre-Etienne Jobin |
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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 | 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 | 68 | 34 | 43 | 77 | 19 | 16 | 0 | 109 | 338 | 73 | 224 | 10.06% | 19 | 21.71 | 6 | 11 | 17 | 232 | 0 | 0 | 0 | 11 | 6 | 5 | 53.67% | 1947 | 0 | 0 | 0 | 1 | 1.04 | 1 | 3 | |
2 | Anthony Cirelli | 71 | C/RW | 68 | 29 | 34 | 63 | 2 | 14 | 0 | 64 | 269 | 74 | 179 | 10.78% | 7 | 16.29 | 7 | 17 | 24 | 217 | 0 | 0 | 0 | 20 | 7 | 1 | 53.30% | 1244 | 0 | 0 | 1 | 2 | 1.14 | 1 | 1 | |
3 | Adam Fox | 23 | D | 68 | 16 | 43 | 59 | -2 | 28 | 0 | 69 | 167 | 48 | 103 | 9.58% | 91 | 23.92 | 9 | 9 | 18 | 267 | 0 | 0 | 0 | 50 | 5 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | |
4 | Adam Henrique | 0 | C/LW | 68 | 16 | 30 | 46 | 0 | 25 | 5 | 66 | 247 | 58 | 145 | 6.48% | 25 | 17.50 | 6 | 11 | 17 | 166 | 0 | 0 | 0 | 223 | 6 | 2 | 53.44% | 1467 | 0 | 0 | 0 | 0 | 0.77 | 0 | 1 | |
5 | Gustav Nyquist | 0 | LW/RW | 68 | 12 | 34 | 46 | 15 | 6 | 0 | 53 | 197 | 53 | 138 | 6.09% | 9 | 20.91 | 0 | 8 | 8 | 228 | 0 | 0 | 0 | 5 | 0 | 1 | 43.64% | 110 | 0 | 0 | 0 | 0 | 0.65 | 1 | 2 | |
6 | Steven Stamkos | 91 | C/LW/RW | 68 | 19 | 27 | 46 | 20 | 36 | 0 | 141 | 219 | 56 | 165 | 8.68% | 5 | 21.58 | 4 | 7 | 11 | 233 | 0 | 0 | 0 | 11 | 3 | 1 | 56.90% | 116 | 0 | 0 | 0 | 1 | 0.63 | 1 | 3 | |
7 | Gustav Forsling | 0 | D | 68 | 11 | 31 | 42 | 0 | 28 | 0 | 78 | 105 | 38 | 63 | 10.48% | 97 | 20.47 | 6 | 14 | 20 | 178 | 0 | 0 | 0 | 218 | 4 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
8 | Justin Faulk | 0 | D | 68 | 9 | 33 | 42 | 3 | 73 | 15 | 139 | 109 | 28 | 66 | 8.26% | 66 | 23.57 | 6 | 10 | 16 | 263 | 0 | 0 | 0 | 62 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
9 | Nick Paul | 0 | C/LW/RW | 68 | 14 | 20 | 34 | 3 | 39 | 5 | 70 | 161 | 49 | 106 | 8.70% | 5 | 15.33 | 5 | 6 | 11 | 206 | 0 | 0 | 0 | 7 | 1 | 0 | 53.16% | 79 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
10 | Mathieu Joseph | 21 | C/LW/RW | 68 | 13 | 19 | 32 | 9 | 32 | 0 | 99 | 154 | 42 | 108 | 8.44% | 8 | 14.82 | 1 | 4 | 5 | 94 | 0 | 0 | 0 | 150 | 1 | 0 | 47.31% | 93 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
11 | Jason Dickinson | 0 | C/LW | 68 | 11 | 10 | 21 | -12 | 50 | 0 | 103 | 162 | 35 | 115 | 6.79% | 14 | 14.92 | 2 | 1 | 3 | 92 | 0 | 0 | 0 | 119 | 3 | 0 | 56.66% | 323 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
12 | Carson Soucy | 0 | D | 42 | 3 | 13 | 16 | 24 | 16 | 0 | 45 | 20 | 4 | 8 | 15.00% | 49 | 15.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 88 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
13 | Calvin de Haan | 0 | D | 68 | 4 | 11 | 15 | 31 | 28 | 0 | 62 | 44 | 22 | 28 | 9.09% | 67 | 16.54 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 179 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
14 | Joel Edmundson | 0 | D | 65 | 2 | 12 | 14 | 1 | 46 | 0 | 105 | 41 | 10 | 22 | 4.88% | 75 | 17.54 | 0 | 0 | 0 | 19 | 0 | 1 | 1 | 167 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
15 | Joel Farabee | 0 | LW/RW | 67 | 5 | 9 | 14 | -14 | 38 | 10 | 35 | 100 | 33 | 72 | 5.00% | 3 | 14.21 | 3 | 2 | 5 | 111 | 0 | 0 | 0 | 40 | 0 | 0 | 40.00% | 60 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
16 | Casey Cizikas | 0 | C | 68 | 4 | 8 | 12 | 12 | 10 | 0 | 29 | 59 | 18 | 44 | 6.78% | 7 | 7.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 138 | 0 | 1 | 52.61% | 612 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
17 | Brock McGinn | 0 | LW/RW | 51 | 3 | 7 | 10 | 13 | 16 | 0 | 36 | 49 | 20 | 30 | 6.12% | 10 | 8.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 113 | 0 | 0 | 59.26% | 27 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
18 | Kasperi Kapanen | 0 | LW/RW | 68 | 5 | 3 | 8 | 12 | 6 | 0 | 13 | 44 | 9 | 32 | 11.36% | 1 | 5.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 53.57% | 28 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
Team Total or Average | 1177 | 210 | 387 | 597 | 136 | 507 | 35 | 1316 | 2485 | 670 | 1648 | 8.45% | 558 | 16.62 | 55 | 100 | 155 | 2318 | 0 | 1 | 1 | 1607 | 38 | 17 | 53.26% | 6106 | 0 | 0 | 1 | 4 | 0.61 | 4 | 10 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Hellebuyck | 63 | 40 | 17 | 5 | 0.919 | 2.36 | 3717 | 10 | 8 | 146 | 1796 | 0 | 1 | 1 | 1.000 | 6 | 62 | 5 | 7 | 3 | 4 | |
2 | Alexandar Georgiev | 25 | 13 | 11 | 1 | 0.905 | 2.98 | 1511 | 2 | 2 | 75 | 793 | 0 | 1 | 1 | 1.000 | 13 | 25 | 38 | 2 | 2 | 3 | |
3 | Anton Forsberg | 6 | 2 | 3 | 0 | 0.900 | 2.95 | 325 | 0 | 0 | 16 | 160 | 0 | 0 | 0 | 0.800 | 5 | 5 | 61 | 0 | 0 | 0 | |
Team Total or Average | 94 | 55 | 31 | 6 | 0.914 | 2.56 | 5554 | 12 | 10 | 237 | 2749 | 0 | 2 | 2 | 0.958 | 24 | 92 | 104 | 9 | 5 | 7 |
Projected Total Cap Hit | 87,231,473$ |
Projected Cap Space | 768,527$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 72,243,729$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Flyers Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox ![]() | D | 27 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||
Adam Henrique ![]() | C/LW | 35 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Alexandar Georgiev | G | 29 | 3,400,000$ | 3,400,000$ | UFA | ||||||
Anthony Cirelli ![]() | C/RW | 27 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Anton Forsberg | G | 32 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Brock McGinn ![]() | LW/RW | 31 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Calvin de Haan ![]() | D | 33 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Carson Soucy ![]() | D | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Casey Cizikas ![]() | C | 34 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Connor Hellebuyck | G | 31 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||
Gustav Forsling ![]() | D | 28 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA |
Gustav Nyquist ![]() | LW/RW | 35 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Jason Dickinson ![]() | C/LW | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Jesper Boqvist ![]() | C/LW/RW | 26 | 1,300,000$ | 1,300,000$ | |||||||
Joel Edmundson ![]() | D | 31 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Joel Farabee ![]() | LW/RW | 25 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Justin Faulk ![]() | D | 33 | 6,200,000$ | 6,200,000$ | 6,200,000$ | UFA | |||||
Kasperi Kapanen ![]() | LW/RW | 28 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||
Mathieu Joseph ![]() | C/LW/RW | 28 | 2,950,000$ | 2,950,000$ | 2,950,000$ | UFA | |||||
Mika Zibanejad ![]() | C | 31 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |||
Nick Paul ![]() | C/LW/RW | 30 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | ||
Steven Stamkos ![]() | C/LW/RW | 35 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Scheel ![]() | G | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Amir Miftakhov ![]() | G | 24 | 0$ | ![]() | |||||||
Bennett MacArthur ![]() | LW | 24 | 859,167$ | 859,167$ | RFA | ||||||
Brady Stonehouse ![]() | RW | 20 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
Brandon Halverson ![]() | G | 29 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | UFA | ||||
Brendan Perlini ![]() | LW | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Curtis Douglas ![]() | C | 25 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | ![]() | ||||
Derrick Pouliot ![]() | D | 31 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Devin Shore ![]() | C | 30 | 775,000$ | 775,000$ | UFA | ||||||
Hunter Drew ![]() | D | 26 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Jacob Quillan ![]() | C | 23 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Jeff Malott ![]() | LW | 28 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Jeremie Biakabutuka ![]() | D | 23 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Jordan Frasca ![]() | C | 23 | 859,167$ | 859,167$ | RFA | ||||||
Jujhar Khaira ![]() | C/LW | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Lane Pederson ![]() | C/RW | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Louis Domingue ![]() | G | 33 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Marc Gatcomb ![]() | RW | 25 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | ![]() | ||||
Mark Pysyk ![]() | D | 33 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Martin Frk ![]() ![]() | LW/RW | 31 | 850,000$ | 850,000$ | UFA | ||||||
Mason Shaw ![]() ![]() | C/LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Matt Donovan ![]() | D | 34 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Matthew Benning ![]() | D | 30 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Maxim Cajkovic ![]() | LW/RW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Nicholas Abruzzese ![]() | C/LW | 25 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Nikita Nesterenko ![]() | C/LW | 23 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | ![]() | ||||
Nolan Burke ![]() | C | 22 | 861,667$ | 861,667$ | RFA | ||||||
Peetro Seppala ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | ![]() | ||||
Robin Salo ![]() | D | 26 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Simon Johansson ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
T.J. Tynan ![]() | C | 33 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Trevor Carrick ![]() | D | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Tucker Robertson ![]() | C | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Vladislav Kolyachonok ![]() | D | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | ![]() | ||||
Will Cranley ![]() | G | 23 | 775,000$ | 775,000$ | RFA | ||||||
Zach Dean ![]() | C | 22 | 883,333$ | 883,333$ | RFA |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 78 | 28 | 24 | 26 | 0 | 59 | 18 | 16 | 42 | 5 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 48 | 32 | 45 | 14 | 25 | 12 | 28.6% | 2.6% | 91.5% | 94.1 | DULL | |
2 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 2 | 0.250 | 10 | 20 | 30 | 0 | 0 | 4 | 5 | 1 | 0 | 165 | 60 | 47 | 58 | 0 | 108 | 34 | 30 | 93 | 21 | 4 | 19.05% | 14 | 5 | 64.29% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 101 | 72 | 87 | 28 | 50 | 26 | 54.5% | 6.1% | 90.7% | 96.8 | Unlucky | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 2 | 2 | 5 | 0 | 91 | 33 | 33 | 25 | 0 | 56 | 26 | 23 | 36 | 4 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 52 | 37 | 42 | 13 | 24 | 12 | 75.0% | 9.9% | 92.9% | 102.7 | LUCKY | |
4 | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 13 | 11 | 2 | 5 | 0.833 | 13 | 22 | 35 | 0 | 0 | 7 | 1 | 4 | 2 | 115 | 25 | 50 | 36 | 9 | 94 | 30 | 31 | 67 | 10 | 1 | 10.00% | 13 | 2 | 84.62% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 80 | 57 | 68 | 20 | 38 | 19 | 57.1% | 11.3% | 88.3% | 99.6 | FUN | |
5 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 16 | 25 | 1 | 0 | 4 | 3 | 1 | 1 | 100 | 32 | 26 | 37 | 5 | 102 | 27 | 41 | 55 | 13 | 1 | 7.69% | 16 | 3 | 81.25% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 71 | 48 | 71 | 25 | 38 | 19 | 61.5% | 9.0% | 92.2% | 101.2 | LUCKY | |
6 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 4 | 3 | 3 | 0.750 | 7 | 13 | 20 | 0 | 1 | 1 | 3 | 3 | 0 | 86 | 25 | 28 | 32 | 1 | 29 | 17 | 8 | 55 | 12 | 3 | 25.00% | 4 | 1 | 75.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 59 | 42 | 35 | 13 | 27 | 14 | 57.1% | 8.1% | 86.2% | 94.3 | Unlucky | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 0.500 | 7 | 13 | 20 | 0 | 1 | 3 | 2 | 2 | 0 | 64 | 26 | 19 | 19 | 0 | 50 | 19 | 20 | 52 | 6 | 2 | 33.33% | 10 | 2 | 80.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 51 | 35 | 42 | 14 | 25 | 13 | 71.4% | 10.9% | 92.0% | 102.9 | LUCKY | |
8 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 2 | 2 | 5 | 0 | 75 | 21 | 19 | 35 | 0 | 85 | 20 | 26 | 64 | 10 | 2 | 20.00% | 12 | 1 | 91.67% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 68 | 46 | 72 | 21 | 38 | 18 | 58.3% | 12.0% | 92.9% | 104.9 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 38 | 6 | 14 | 18 | 0 | 15 | 8 | 0 | 14 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 28 | 20 | 19 | 6 | 12 | 6 | 75.0% | 7.9% | 93.3% | 101.2 | DULL | |
10 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 4 | 0.667 | 6 | 12 | 18 | 0 | 0 | 2 | 1 | 3 | 0 | 107 | 30 | 40 | 37 | 0 | 77 | 24 | 18 | 71 | 9 | 1 | 11.11% | 9 | 1 | 88.89% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 73 | 51 | 68 | 22 | 37 | 18 | 55.6% | 5.6% | 93.5% | 99.1 | DULL | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 3 | 0 | 0 | 52 | 17 | 18 | 17 | 0 | 67 | 17 | 16 | 40 | 6 | 1 | 16.67% | 8 | 2 | 75.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 46 | 32 | 49 | 15 | 23 | 12 | 44.4% | 9.6% | 89.6% | 99.2 | FUN | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 17 | 26 | 0 | 1 | 4 | 2 | 3 | 0 | 103 | 36 | 33 | 34 | 0 | 38 | 13 | 7 | 46 | 15 | 2 | 13.33% | 1 | 0 | 100.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 59 | 44 | 36 | 12 | 24 | 14 | 77.8% | 8.7% | 94.7% | 103.5 | DULL | |
13 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 3 | 0 | 1 | 1 | 62 | 15 | 13 | 31 | 6 | 75 | 17 | 18 | 35 | 9 | 1 | 11.11% | 8 | 2 | 75.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 48 | 32 | 49 | 15 | 27 | 13 | 40.0% | 8.1% | 89.3% | 97.4 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 31 | 13 | 6 | 12 | 0 | 25 | 10 | 6 | 20 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 26 | 18 | 21 | 5 | 12 | 6 | 33.3% | 9.7% | 92.0% | 101.7 | LUCKY | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 1 | 3 | 0 | 2 | 0 | 61 | 16 | 18 | 27 | 0 | 52 | 18 | 14 | 37 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 46 | 30 | 46 | 16 | 27 | 12 | 57.1% | 8.2% | 92.3% | 100.5 | DULL | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 9 | 14 | 0 | 1 | 3 | 2 | 0 | 0 | 70 | 25 | 21 | 24 | 0 | 63 | 16 | 16 | 40 | 9 | 2 | 22.22% | 7 | 1 | 85.71% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 53 | 38 | 42 | 14 | 23 | 12 | 75.0% | 7.1% | 96.8% | 104.0 | DULL | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 6 | 1 | 0 | 0 | 74 | 20 | 25 | 29 | 0 | 65 | 14 | 14 | 42 | 7 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 48 | 33 | 46 | 15 | 25 | 12 | 70.0% | 9.5% | 92.3% | 101.8 | LUCKY | |
18 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 3 | 0 | 1 | 1 | 69 | 22 | 21 | 17 | 11 | 81 | 16 | 17 | 46 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 46 | 33 | 53 | 14 | 24 | 12 | 50.0% | 7.2% | 93.8% | 101.1 | DULL | |
19 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 11 | -1 | 3 | 0.500 | 10 | 18 | 28 | 0 | 0 | 1 | 5 | 4 | 0 | 125 | 26 | 50 | 44 | 5 | 71 | 14 | 32 | 66 | 14 | 3 | 21.43% | 15 | 1 | 93.33% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 83 | 59 | 64 | 21 | 34 | 18 | 41.2% | 8.0% | 84.5% | 92.5 | Unlucky | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 44 | 18 | 11 | 15 | 0 | 26 | 5 | 9 | 25 | 8 | 2 | 25.00% | 2 | 0 | 100.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 30 | 21 | 17 | 7 | 12 | 6 | 66.7% | 9.1% | 96.2% | 105.2 | LUCKY | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 42 | 12 | 10 | 20 | 0 | 43 | 16 | 8 | 23 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 21 | 14 | 26 | 6 | 11 | 6 | 50.0% | 9.5% | 95.3% | 104.9 | LUCKY | |
22 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 7 | 9 | 6 | 1.000 | 16 | 27 | 43 | 0 | 0 | 6 | 2 | 8 | 0 | 127 | 49 | 37 | 41 | 0 | 99 | 24 | 26 | 58 | 20 | 5 | 25.00% | 13 | 2 | 84.62% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 77 | 54 | 64 | 23 | 38 | 20 | 68.8% | 12.6% | 92.9% | 105.5 | LUCKY | |
23 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 16 | 24 | 0 | 1 | 3 | 3 | 2 | 0 | 111 | 37 | 32 | 42 | 0 | 129 | 38 | 32 | 69 | 16 | 4 | 25.00% | 15 | 1 | 93.33% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 72 | 49 | 70 | 23 | 37 | 18 | 40.0% | 7.2% | 94.6% | 101.8 | DULL | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 3 | 0 | 79 | 17 | 33 | 29 | 0 | 52 | 7 | 16 | 32 | 9 | 3 | 33.33% | 8 | 0 | 100.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 51 | 37 | 42 | 14 | 25 | 12 | 50.0% | 7.6% | 94.2% | 101.8 | DULL | |
25 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 7 | -5 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 67 | 18 | 34 | 15 | 0 | 53 | 19 | 18 | 37 | 4 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 48 | 33 | 47 | 13 | 24 | 12 | 22.2% | 3.0% | 86.8% | 89.8 | Unlucky | |
26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 2 | 0 | 42 | 10 | 12 | 20 | 0 | 29 | 8 | 6 | 20 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 28 | 20 | 20 | 6 | 11 | 5 | 66.7% | 9.5% | 89.7% | 99.2 | FUN | |
27 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 0 | 1 | 3 | 1 | 59 | 18 | 10 | 28 | 3 | 77 | 23 | 22 | 37 | 7 | 2 | 28.57% | 11 | 4 | 63.64% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 47 | 31 | 49 | 15 | 24 | 11 | 37.5% | 8.5% | 88.3% | 96.8 | Unlucky | |
28 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 10 | 12 | -2 | 3 | 0.375 | 10 | 17 | 27 | 0 | 0 | 4 | 2 | 4 | 0 | 145 | 52 | 41 | 50 | 2 | 132 | 38 | 34 | 78 | 7 | 1 | 14.29% | 17 | 2 | 88.24% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 95 | 65 | 97 | 29 | 51 | 25 | 47.4% | 6.9% | 90.9% | 97.8 | Unlucky | |
29 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 2 | 3 | 3 | 0 | 60 | 22 | 22 | 16 | 0 | 56 | 21 | 22 | 33 | 7 | 3 | 42.86% | 10 | 2 | 80.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 47 | 32 | 47 | 14 | 25 | 13 | 50.0% | 13.3% | 87.5% | 100.8 | FUN | |
30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 68 | 20 | 26 | 22 | 0 | 45 | 10 | 10 | 50 | 7 | 1 | 14.29% | 5 | 0 | 100.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 52 | 36 | 41 | 14 | 26 | 14 | 50.0% | 8.8% | 88.9% | 97.7 | Unlucky | |
31 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 11 | 4 | 1.000 | 11 | 20 | 31 | 0 | 2 | 4 | 2 | 5 | 0 | 71 | 22 | 26 | 23 | 0 | 32 | 12 | 6 | 37 | 10 | 2 | 20.00% | 2 | 0 | 100.00% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 55 | 39 | 38 | 13 | 26 | 14 | 100.0% | 15.5% | 100.0% | 115.5 | LUCKY | |
_Vs Division | 22 | 9 | 9 | 0 | 1 | 2 | 1 | 0 | 63 | 57 | 6 | 24 | 0.545 | 63 | 116 | 179 | 1 | 2 | 27 | 17 | 17 | 3 | 807 | 262 | 255 | 279 | 16 | 692 | 210 | 206 | 485 | 82 | 14 | 17.07% | 94 | 16 | 82.98% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 546 | 380 | 508 | 163 | 279 | 141 | 54.4% | 7.8% | 91.8% | 99.6 | DULL | |
_Vs Conference | 39 | 20 | 13 | 0 | 2 | 3 | 1 | 0 | 124 | 100 | 24 | 49 | 0.628 | 124 | 226 | 350 | 1 | 3 | 45 | 32 | 44 | 4 | 1427 | 449 | 447 | 512 | 24 | 1173 | 348 | 358 | 822 | 157 | 29 | 18.47% | 162 | 26 | 83.95% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 980 | 682 | 885 | 289 | 493 | 249 | 56.2% | 8.7% | 91.5% | 100.2 | DULL | |
_Since Last GM Reset | 68 | 37 | 21 | 0 | 2 | 5 | 3 | 0 | 213 | 167 | 46 | 89 | 0.654 | 213 | 383 | 596 | 1 | 8 | 76 | 60 | 72 | 6 | 2481 | 771 | 799 | 879 | 42 | 1985 | 579 | 562 | 1420 | 275 | 52 | 18.91% | 251 | 38 | 84.86% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 1723 | 1204 | 1530 | 496 | 858 | 437 | 55.5% | 8.6% | 91.6% | 100.2 | DULL | |
Total | 68 | 37 | 21 | 0 | 2 | 5 | 3 | 0 | 213 | 167 | 46 | 89 | 0.654 | 213 | 383 | 596 | 1 | 8 | 76 | 60 | 72 | 6 | 2481 | 771 | 799 | 879 | 42 | 1985 | 579 | 562 | 1420 | 275 | 52 | 18.91% | 251 | 38 | 84.86% | 0 | 1436 | 2657 | 54.05% | 1269 | 2361 | 53.75% | 537 | 1026 | 52.34% | 1723 | 1204 | 1530 | 496 | 858 | 437 | 55.5% | 8.6% | 91.6% | 100.2 | DULL |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2657 |
Neutral Zone Start | 1026 |
Defensive Zone Start | 2361 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3242 |
Faceoffs Lost | 2802 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 23.1 | 20.31 |
3rd Period | 36.0 | 30.68 |
Overtime | 36.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 160 |
---|---|
PP Goal | 52 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 20 | 22 |
Lost | 14 | 7 |
Overtime Lost | 2 | 3 |
PP Attempt | 275 |
---|---|
PP Goal | 52 |
PK Attempt | 251 |
PK Goal Against | 38 |
Home | |
---|---|
Shots For | 36.5 |
Shots Against | 29.2 |
Goals For | 3.1 |
Goals Against | 2.5 |
Hits | 20.9 |
Shots Blocked | 8.5 |
Pim | 8.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-13 | @ | Flyers5,Canucks0 | RECAP | |||||||||||
2024-10-14 | @ | Flyers0,Flames4 | RECAP | |||||||||||
2024-10-17 | @ | Flyers4,Oilers2 | RECAP | |||||||||||
2024-10-19 | @ | Flyers5,Kraken0 | RECAP | |||||||||||
2024-10-21 | @ | Canucks2,Flyers4 | RECAP | |||||||||||
2024-10-24 | @ | Capitals2,Flyers1 | RECAP | |||||||||||
2024-10-25 | @ | Flyers3,Capitals2 | RECAP | |||||||||||
2024-10-28 | @ | Wild3,Flyers4 | RECAP | |||||||||||
2024-10-29 | @ | Canadiens1,Flyers3 | RECAP | |||||||||||
2024-10-31 | @ | Flyers3,Bruins4 (OT) | RECAP | |||||||||||
2024-11-02 | @ | Blues3,Flyers6 | RECAP | |||||||||||
2024-11-04 | @ | Bruins5,Flyers2 | RECAP | |||||||||||
2024-11-07 | @ | Flyers3,Hurricanes1 | RECAP | |||||||||||
2024-11-09 | @ | Flyers2,Lightning0 | RECAP | |||||||||||
2024-11-11 | @ | Flyers7,Panthers3 | RECAP | |||||||||||
2024-11-13 | @ | Sharks4,Flyers3 | RECAP | |||||||||||
2024-11-16 | @ | Flyers5,Senators2 | RECAP | |||||||||||
2024-11-18 | @ | Sabres1,Flyers4 | RECAP | |||||||||||
2024-11-20 | @ | Avalanche4,Flyers3 (OT) | RECAP | |||||||||||
2024-11-22 | @ | Hurricanes4,Flyers5 (OT) | RECAP | |||||||||||
2024-11-25 | @ | Blackhawks2,Flyers4 | RECAP | |||||||||||
2024-11-27 | @ | Golden Knights2,Flyers4 | RECAP | |||||||||||
2024-11-29 | @ | Flyers3,Predators2 | RECAP | |||||||||||
2024-12-01 | @ | Rangers0,Flyers4 | RECAP | |||||||||||
2024-12-02 | @ | Flyers1,Blues2 | RECAP | |||||||||||
2024-12-07 | @ | Panthers2,Flyers6 | RECAP | |||||||||||
2024-12-09 | @ | Flyers5,Bruins2 | RECAP | |||||||||||
2024-12-10 | @ | Hockey Club3,Flyers4 (SO) | RECAP | |||||||||||
2024-12-12 | @ | Flyers4,Blue Jackets3 | RECAP | |||||||||||
2024-12-14 | @ | Red Wings3,Flyers5 | RECAP | |||||||||||
2024-12-16 | @ | Flyers1,Wild4 | RECAP | |||||||||||
2024-12-20 | @ | Flyers3,Red Wings1 | RECAP | |||||||||||
2024-12-21 | @ | Kings5,Flyers1 | RECAP | |||||||||||
2024-12-23 | @ | Blue Jackets4,Flyers3 | RECAP | |||||||||||
2024-12-25 | @ | Flyers4,Penguins2 | RECAP | |||||||||||
2024-12-30 | @ | Flyers1,Ducks2 (OT) | RECAP | |||||||||||
2024-12-31 | @ | Flyers4,Kings3 (SO) | RECAP | |||||||||||
2025-01-02 | @ | Flyers5,Sharks3 | RECAP | |||||||||||
2025-01-04 | @ | Flyers2,Golden Knights3 | RECAP | |||||||||||
2025-01-07 | @ | Flyers4,Maple Leafs3 (OT) | RECAP | |||||||||||
2025-01-09 | @ | Maple Leafs6,Flyers1 | RECAP | |||||||||||
2025-01-11 | @ | Stars3,Flyers4 | RECAP | |||||||||||
2025-01-13 | @ | Ducks5,Flyers1 | RECAP | |||||||||||
2025-01-15 | @ | Panthers2,Flyers3 | RECAP | |||||||||||
2025-01-16 | @ | Flyers1,Blue Jackets0 | RECAP | |||||||||||
2025-01-18 | @ | Flyers3,Islanders2 (SO) | RECAP | |||||||||||
2025-01-20 | @ | Flyers4,Devils1 | RECAP | |||||||||||
2025-01-23 | @ | Red Wings2,Flyers1 | RECAP | |||||||||||
2025-01-25 | @ | Flyers3,Rangers4 | RECAP | |||||||||||
2025-01-26 | @ | Flyers6,Islanders4 | RECAP | |||||||||||
2025-01-29 | @ | Devils2,Flyers1 | RECAP | |||||||||||
2025-01-31 | @ | Flyers3,Devils4 | RECAP | |||||||||||
2025-02-01 | @ | Islanders5,Flyers4 (OT) | RECAP | |||||||||||
2025-02-04 | @ | Flyers4,Avalanche0 | RECAP | |||||||||||
2025-02-06 | @ | Flyers1,Hockey Club2 | RECAP | |||||||||||
2025-02-08 | @ | Capitals1,Flyers2 | RECAP | |||||||||||
2025-02-10 | @ | Penguins4,Flyers2 | RECAP | |||||||||||
2025-02-24 | @ | Oilers0,Flyers1 | RECAP | |||||||||||
2025-02-27 | @ | Penguins3,Flyers2 | RECAP | |||||||||||
2025-03-01 | @ | Flyers2,Penguins3 (OT) | RECAP | |||||||||||
2025-03-03 | @ | Flyers3,Jets1 | RECAP | |||||||||||
2025-03-06 | @ | Flames1,Flyers2 | RECAP | |||||||||||
2025-03-08 | @ | Jets2,Flyers3 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Kraken0,Flyers6 | RECAP | |||||||||||
2025-03-11 | @ | Devils3,Flyers2 | RECAP | |||||||||||
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2025-03-15 | @ | Lightning4,Flyers3 | RECAP | |||||||||||
2025-03-17 | @ | Hurricanes3,Flyers1 | RECAP | |||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
91,800,000$ | 0$ | 87,231,473$ | -3,800,000$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 208979 | 177968 | 69508 | 139254 | 34889 |
Attendance PCT | 96.75% | 98.87% | 96.54% | 96.70% | 96.91% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
5 | 17517 - 97.31% | 1,605,786$ | 57,808,282$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
91,800,000$ | 91,800,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
73,080,461$ | 468,367$ | 72,243,729$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
8,028,928$ | 32 | 473,469$ | 15,151,008$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
15,521,664$ | 91,800,000$ | 62,850,571$ | 55,357,835$ |
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 | Ronde 8 |
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2025 | ||||||||
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Priority | Type | Description |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aidan Hreschuk | 2021 | 82 | |||
Alexander Rykov | 2023 | 90 | |||
Alexandre Blais | 2024 | 95 | |||
Arseny Koromyslov | 2022 | 143 | |||
Arvid Bergstrom | 2023 | 219 | |||
Beckett Hendrickson | 2023 | 135 | |||
Brandon Lisowsky | 2022 | 167 | |||
Brayden Peters | 2020 | 187 | |||
Brodie Ziemer | 2024 | 80 | |||
Bryce Montgomery | 2021 | 172 | |||
Charlie Elick | 2024 | 27 | |||
Chase McLane | |||||
Colton Roberts | 2024 | 117 | |||
Danill Ustinkov | 2024 | 206 | |||
Dru Krebs | 2021 | 162 | |||
Frankie Marelli | 2024 | 210 | |||
Garin Bjorklund | 2020 | 145 | |||
Herman Traff | 2024 | 102 | |||
Ilya Pautov | 2024 | 174 | |||
Jacob Battaglia | 2024 | 78 | |||
Jake Boltmann | |||||
Jake Karabela | 2022 | 122 | |||
James Fisher | 2022 | 218 | |||
Jesse Pulkkinen | 2024 | 45 | |||
Joni Jurmo | 2020 | 63 | |||
Josh Davies | 2022 | 215 | |||
Juho Markkanen | 2020 | 181 | |||
Justin Janicke | 2021 | 183 | |||
Kasper Puutio | 2020 | 119 | |||
Kieron Walton | 2024 | 171 | |||
Kirill Gerasimyuk | 2021 | 119 | |||
Kirill Zarubin | 2024 | 87 | |||
Landon Sim | 2022 | 208 | |||
Logan Neaton | 2019 | 166 | |||
Marcus Davidsson | 6.0 - 5.0 | ||||
Matthew Soto | 2023 | 195 | |||
Matvey Petrov | 2021 | 151 | |||
Melvin Fernstrom | 2024 | 98 | |||
Nikita Artamonov | 2024 | 36 | |||
Noah Laba | 2022 | 123 | |||
Olof Lindbom | 7.5 - 4.5 | ||||
Oskar Vuollet | 2024 | 141 | |||
Otto Salin | 2022 | 154 | |||
Parker Bell | 2022 | 186 | |||
Pavel Moysevich | 2024 | 100 | |||
Riley Heidt | 2023 | 27 | |||
Ryan Ufko | 2021 | 87 | |||
Scott Ratzlaff | 2023 | 123 | |||
Sebastian Soini | 2024 | 146 | |||
Simon Forsmark | 2022 | 88 | |||
Simon Zether | 2024 | 103 | |||
Tanner Howe | 2024 | 46 | |||
Tomas Lavoie | 2024 | 92 | |||
Topias Hynninen | 2024 | 215 | |||
Tory Pitner | 2024 | 182 | |||
Tuomas Uronen | 2023 | 171 | |||
Ty Smilanic | 2020 | 57 | |||
Yaroslav Likhachyov | 2019 | 197 | |||
Zeb Forsfjall | 2023 | 140 |
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