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Full Scoreboard »» |
Philadelphia Flyers 34-25-9, 77pts · 10th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mika Zibanejad (A) | 93 | C | 99.00 | 64 | 33 | 87 | 86 | 80 | 88 | 90 | 84 | 87 | 86 | 86 | 84 | 85 | 78 | 88 | 0 | 57 | 95 | 30 | 8,500,000$/5yrs | |||
Steven Stamkos (C) | 91 | C/LW/RW | 100.00 | 68 | 32 | 81 | 81 | 71 | 87 | 90 | 83 | 83 | 85 | 85 | 61 | 84 | 83 | 99 | 0 | 62 | 92 | 34 | 8,500,000$/1yrs | |||
Gustav Nyquist | 0 | LW/RW | 99.00 | 59 | 32 | 94 | 78 | 70 | 84 | 90 | 78 | 60 | 84 | 75 | 70 | 77 | 84 | 91 | 0 | 53 | 89 | 34 | 4,500,000$/3yrs | |||
Mikael Backlund | 0 | C | 100.00 | 69 | 33 | 85 | 75 | 79 | 86 | 90 | 74 | 88 | 79 | 74 | 83 | 74 | 85 | 97 | 0 | 59 | 89 | 35 | 5,350,000$/1yrs | |||
Mathieu Joseph | 0 | C/LW/RW | 100.00 | 65 | 42 | 63 | 77 | 74 | 83 | 86 | 78 | 60 | 82 | 75 | 83 | 77 | 71 | 67 | 0 | 77 | 88 | 27 | 2,950,000$/3yrs | |||
Jason Dickinson | 0 | C/LW | 100.00 | 74 | 39 | 76 | 73 | 80 | 82 | 90 | 72 | 84 | 69 | 80 | 93 | 76 | 74 | 71 | 0 | 64 | 88 | 28 | 2,500,000$/4yrs | |||
Teddy Blueger | 0 | C/LW | 100.00 | 66 | 41 | 86 | 76 | 72 | 81 | 83 | 74 | 85 | 80 | 72 | 83 | 73 | 75 | 74 | 0 | 53 | 87 | 29 | 2,250,000$/2yrs | |||
Anthony Cirelli | 71 | C/RW | 100.00 | 61 | 32 | 76 | 75 | 74 | 86 | 90 | 74 | 82 | 72 | 74 | 90 | 74 | 70 | 68 | 0 | 67 | 86 | 26 | 5,500,000$/3yrs | |||
Nick Paul | 0 | C/LW/RW | 100.00 | 66 | 41 | 85 | 74 | 89 | 85 | 90 | 73 | 86 | 71 | 79 | 73 | 76 | 74 | 72 | 0 | 58 | 85 | 28 | 3,150,000$/6yrs | |||
Jujhar Khaira | 16 | C/LW | 100.00 | 80 | 48 | 79 | 67 | 86 | 78 | 77 | 65 | 77 | 68 | 67 | 84 | 66 | 75 | 73 | 0 | 61 | 83 | 29 | 775,000$/3yrs | |||
Kasperi Kapanen | 0 | LW/RW | 100.00 | 71 | 33 | 92 | 72 | 77 | 79 | 87 | 71 | 60 | 73 | 72 | 70 | 71 | 71 | 70 | 0 | 74 | 83 | 27 | 3,500,000$/1yrs | |||
Ondrej Palat | 18 | LW/RW | 100.00 | 69 | 40 | 76 | 69 | 75 | 82 | 90 | 70 | 58 | 74 | 69 | 72 | 70 | 81 | 88 | 0 | 50 | 83 | 32 | 5,500,000$/3yrs | |||
Adam Fox | 23 | D | 100.00 | 58 | 32 | 85 | 85 | 70 | 95 | 88 | 80 | 30 | 89 | 71 | 84 | 75 | 69 | 68 | 0 | 54 | 93 | 26 | 9,500,000$/6yrs | |||
Justin Faulk | 0 | D | 100.00 | 72 | 33 | 86 | 76 | 82 | 94 | 90 | 76 | 30 | 81 | 68 | 86 | 72 | 79 | 78 | 0 | 40 | 91 | 31 | 6,200,000$/3yrs | |||
Jake Walman | 46 | D | 100.00 | 60 | 33 | 79 | 76 | 85 | 88 | 90 | 71 | 30 | 71 | 78 | 90 | 75 | 73 | 70 | 0 | 60 | 88 | 28 | 3,000,000$/4yrs | |||
Gustav Forsling | 0 | D | 100.00 | 69 | 39 | 72 | 71 | 73 | 93 | 90 | 73 | 30 | 75 | 69 | 89 | 71 | 72 | 69 | 0 | 59 | 88 | 27 | 3,000,000$/8yrs | |||
Carson Soucy | 0 | D | 100.00 | 68 | 34 | 95 | 65 | 86 | 84 | 76 | 72 | 30 | 73 | 69 | 85 | 71 | 75 | 75 | 0 | 42 | 86 | 29 | 1,500,000$/3yrs | |||
Luke Schenn | 2 | D | 100.00 | 99 | 54 | 63 | 62 | 88 | 82 | 84 | 67 | 30 | 71 | 61 | 79 | 64 | 83 | 79 | 0 | 73 | 85 | 34 | 1,250,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Erik Johnson | 6 | D | 100.00 | 76 | 37 | 85 | 55 | 90 | 82 | 86 | 64 | 30 | 63 | 57 | 83 | 61 | 86 | 84 | 0 | 19 | 81 | 35 | 1,500,000$/1yrs | |||
TEAM AVERAGE | 99.89 | 69 | 37 | 81 | 73 | 79 | 85 | 87 | 74 | 59 | 76 | 73 | 81 | 73 | 77 | 78 | 0 | 57 | 87 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor Hellebuyck | 0 | 97.00 | 93 | 95 | 84 | 85 | 94 | 84 | 94 | 96 | 91 | 96 | 94 | 77 | 82 | 0 | 45 | 95 | 30 | 6,166,666$/6yrs |
Adin Hill | 0 | 100.00 | 83 | 83 | 76 | 88 | 95 | 84 | 93 | 93 | 91 | 93 | 93 | 72 | 77 | 0 | 61 | 92 | 27 | 2,600,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 88 | 89 | 80 | 87 | 95 | 84 | 94 | 95 | 91 | 95 | 94 | 75 | 80 | 0 | 53 | 94 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jay Woodcroft | 76 | 71 | 91 | 83 | 80 | 76 | 76 | CAN | 60 | 3 | 1,000,000$ |
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 | Flyers | 93 | C | 68 | 27 | 37 | 64 | 11 | 25 | 5 | 79 | 266 | 95 | 198 | 10.15% | 16 | 20.89 | 8 | 9 | 17 | 216 | 2 | 0 | 2 | 67 | 6 | 0 | 52.87% | 1780 | 0 | 0 | 0 | 2 | 0.90 | 0 | 6 |
2 | Anthony Cirelli | Flyers | 71 | C/RW | 68 | 24 | 33 | 57 | 13 | 26 | 0 | 76 | 208 | 66 | 154 | 11.54% | 23 | 19.84 | 7 | 9 | 16 | 189 | 0 | 0 | 0 | 221 | 4 | 1 | 52.55% | 628 | 0 | 0 | 2 | 1 | 0.85 | 0 | 1 |
3 | Steven Stamkos | Flyers | 91 | C/LW/RW | 68 | 25 | 29 | 54 | 10 | 38 | 0 | 123 | 227 | 62 | 163 | 11.01% | 4 | 20.62 | 5 | 7 | 12 | 217 | 0 | 0 | 0 | 2 | 6 | 3 | 51.44% | 451 | 0 | 0 | 0 | 1 | 0.77 | 1 | 6 |
4 | Adam Fox | Flyers | 23 | D | 68 | 8 | 44 | 52 | 3 | 24 | 0 | 50 | 96 | 40 | 69 | 8.33% | 66 | 24.13 | 7 | 15 | 22 | 221 | 0 | 0 | 0 | 131 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 |
5 | Gustav Forsling | Flyers | 0 | D | 68 | 12 | 37 | 49 | 3 | 41 | 5 | 81 | 101 | 39 | 70 | 11.88% | 69 | 22.12 | 7 | 10 | 17 | 190 | 0 | 2 | 2 | 195 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 |
6 | Jason Dickinson | Flyers | 0 | C/LW | 68 | 23 | 21 | 44 | 10 | 51 | 5 | 126 | 206 | 57 | 134 | 11.17% | 14 | 17.80 | 4 | 5 | 9 | 134 | 0 | 0 | 0 | 250 | 1 | 0 | 51.60% | 595 | 0 | 0 | 1 | 0 | 0.73 | 0 | 1 |
7 | Jake Walman | Flyers | 46 | D | 68 | 9 | 33 | 42 | -6 | 61 | 5 | 114 | 125 | 43 | 93 | 7.20% | 76 | 23.13 | 4 | 14 | 18 | 196 | 0 | 0 | 0 | 196 | 2 | 1 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.53 | 0 | 1 |
8 | Teddy Blueger | Flyers | 0 | C/LW | 63 | 6 | 30 | 36 | 21 | 23 | 5 | 32 | 113 | 19 | 70 | 5.31% | 7 | 13.58 | 2 | 4 | 6 | 83 | 0 | 0 | 0 | 58 | 1 | 0 | 50.37% | 1084 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 |
9 | Justin Faulk | Flyers | 0 | D | 62 | 12 | 24 | 36 | 0 | 42 | 0 | 112 | 90 | 25 | 69 | 13.33% | 82 | 22.87 | 2 | 10 | 12 | 192 | 0 | 2 | 2 | 120 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 |
10 | Gustav Nyquist | Flyers | 0 | LW/RW | 68 | 6 | 27 | 33 | 4 | 8 | 0 | 46 | 139 | 46 | 86 | 4.32% | 8 | 19.24 | 2 | 11 | 13 | 210 | 0 | 0 | 0 | 1 | 1 | 2 | 40.43% | 94 | 0 | 0 | 0 | 0 | 0.50 | 2 | 2 |
11 | Mathieu Joseph | Flyers | 0 | C/LW/RW | 68 | 12 | 19 | 31 | -12 | 47 | 5 | 99 | 177 | 39 | 116 | 6.78% | 14 | 15.77 | 2 | 4 | 6 | 97 | 0 | 1 | 1 | 79 | 1 | 2 | 43.88% | 98 | 0 | 0 | 0 | 0 | 0.58 | 0 | 1 |
12 | Mikael Backlund | Flyers | 0 | C | 66 | 9 | 20 | 29 | 3 | 10 | 0 | 42 | 158 | 54 | 116 | 5.70% | 15 | 16.48 | 0 | 1 | 1 | 44 | 0 | 2 | 2 | 217 | 0 | 1 | 53.70% | 1488 | 0 | 0 | 0 | 0 | 0.53 | 0 | 2 |
13 | Kasperi Kapanen | Flyers | 0 | LW/RW | 68 | 11 | 17 | 28 | 1 | 12 | 0 | 35 | 135 | 33 | 89 | 8.15% | 3 | 11.91 | 0 | 4 | 4 | 119 | 0 | 0 | 0 | 0 | 3 | 0 | 39.66% | 58 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 |
14 | Nick Paul | Flyers | 0 | C/LW/RW | 68 | 13 | 8 | 21 | -8 | 19 | 5 | 44 | 96 | 26 | 63 | 13.54% | 9 | 14.87 | 1 | 2 | 3 | 98 | 0 | 0 | 0 | 16 | 1 | 2 | 53.92% | 421 | 0 | 0 | 0 | 0 | 0.42 | 0 | 4 |
15 | Erik Johnson | Flyers | 6 | D | 40 | 2 | 8 | 10 | -1 | 26 | 0 | 48 | 16 | 8 | 12 | 12.50% | 33 | 16.38 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 63 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 |
16 | Luke Schenn | Flyers | 2 | D | 52 | 2 | 8 | 10 | 12 | 84 | 10 | 121 | 22 | 7 | 8 | 9.09% | 52 | 14.51 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 76 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 |
17 | Carson Soucy | Flyers | 0 | D | 49 | 4 | 6 | 10 | -2 | 16 | 0 | 29 | 23 | 3 | 15 | 17.39% | 42 | 14.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 |
18 | Ondrej Palat | Flyers | 18 | LW/RW | 68 | 5 | 5 | 10 | -12 | 10 | 0 | 59 | 71 | 24 | 56 | 7.04% | 3 | 10.98 | 2 | 1 | 3 | 75 | 0 | 0 | 0 | 0 | 0 | 0 | 40.38% | 52 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 |
19 | Jujhar Khaira | Flyers | 16 | C/LW | 55 | 3 | 4 | 7 | -4 | 18 | 0 | 52 | 46 | 12 | 38 | 6.52% | 6 | 8.59 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 86 | 1 | 1 | 48.51% | 369 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 |
Team Total or Average | 1203 | 213 | 410 | 623 | 46 | 581 | 45 | 1368 | 2315 | 698 | 1619 | 9.20% | 542 | 17.46 | 53 | 106 | 159 | 2293 | 2 | 7 | 9 | 1865 | 34 | 16 | 51.78% | 7118 | 0 | 0 | 4 | 4 | 0.59 | 3 | 24 |
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 | Flyers | 57 | 26 | 23 | 5 | 0.907 | 2.70 | 3159 | 6 | 2 | 142 | 1533 | 0 | 2 | 0 | 0.789 | 19 | 55 | 13 | 6 | 3 | 2 |
2 | Adin Hill | Flyers | 21 | 8 | 2 | 4 | 0.895 | 3.00 | 961 | 0 | 1 | 48 | 455 | 0 | 0 | 0 | 0.667 | 3 | 13 | 55 | 1 | 1 | 0 |
Team Total or Average | 78 | 34 | 25 | 9 | 0.904 | 2.77 | 4121 | 6 | 3 | 190 | 1988 | 0 | 2 | 0 | 0.773 | 22 | 68 | 68 | 7 | 4 | 2 |
Projected Total Cap Hit | 81,432,787$ |
Projected Cap Space | 2,067,213$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 66,817,523$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Flyers Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox | D | 26 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |
Adin Hill | G | 27 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | ||||
Anthony Cirelli | C/RW | 26 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Carson Soucy | D | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Connor Hellebuyck | G | 30 | 6,166,666$ | 6,166,666$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |
Erik Johnson | D | 35 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Gustav Forsling | D | 27 | 3,000,000$ | 3,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ |
Gustav Nyquist | LW/RW | 34 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Jake Walman | D | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Jason Dickinson | C/LW | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
Jujhar Khaira | C/LW | 29 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Justin Faulk | D | 31 | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | UFA | ||||
Kasperi Kapanen | LW/RW | 27 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Luke Schenn | D | 34 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Mathieu Joseph | C/LW/RW | 27 | 2,950,000$ | 2,950,000$ | 2,950,000$ | 2,950,000$ | UFA | ||||
Mika Zibanejad | C | 30 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | ||
Mikael Backlund | C | 35 | 5,350,000$ | 5,350,000$ | UFA | ||||||
Nick Paul | C/LW/RW | 28 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | |
Ondrej Palat | LW/RW | 32 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Steven Stamkos | C/LW/RW | 34 | 8,500,000$ | 8,500,000$ | UFA | ||||||
Teddy Blueger | C/LW | 29 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Scheel | G | 24 | 775,000$ | 775,000$ | RFA | ||||||
Amir Miftakhov | G | 23 | 838,333$ | 838,333$ | RFA | ||||||
Andrew Poturalski | C/RW | 30 | 800,000$ | 800,000$ | UFA | ||||||
Bennett MacArthur | LW | 23 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Brady Stonehouse | RW | 19 | 845,000$ | 845,000$ | 845,000$ | 845,000$ | RFA | ||||
Brendan Perlini | LW | 27 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Collin Delia | G | 29 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Curtis Douglas | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Devin Shore | C | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Dylan Sikura | C/LW/RW | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Evan Fitzpatrick | G | 26 | 775,000$ | 775,000$ | RFA | ||||||
Jeff Malott | LW | 27 | 800,000$ | 800,000$ | UFA | ||||||
Jeremie Biakabutuka | D | 22 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | RFA | ||||
Jordan Frasca | C | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Kirill Ustimenko | G | 25 | 775,000$ | 775,000$ | RFA | ||||||
Lane Pederson | C/RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Mark Pysyk | D | 32 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Mason Shaw | C/LW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Matt Donovan | D | 33 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Maxim Cajkovic | LW/RW | 23 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Nicholas Abruzzese | C/LW | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | UFA | ||||
Nick Seeler | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Nikita Nesterenko | C/LW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Nolan Burke | C | 21 | 861,667$ | 861,667$ | 861,667$ | RFA | |||||
Peetro Seppala | D | 23 | 855,000$ | 855,000$ | RFA | ||||||
Robin Salo | D | 25 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Saige Weinstein | D | 18 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | RFA | ||||
Sam Carrick | C/RW | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Simon Johansson | D | 24 | 855,000$ | 855,000$ | RFA | ||||||
Trevor Carrick | D | 29 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Tucker Robertson | C | 20 | 0$ | RFA | |||||||
Tyler Wotherspoon | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
Vladislav Kolyachonok | D | 22 | 789,000$ | 789,000$ | RFA | ||||||
Will Cranley | G | 22 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Zach Dean | C | 21 | 883,333$ | 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 | Flames | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 46 | 9 | 26 | 11 | 0 | 47 | 15 | 18 | 29 | 6 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 44 | 30 | 49 | 15 | 25 | 12 | 37.5% | 6.5% | 87.2% | 93.8 | Unlucky |
2 | Devils | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 10 | -1 | 3 | 0.500 | 9 | 14 | 23 | 0 | 0 | 2 | 2 | 5 | 0 | 114 | 28 | 36 | 44 | 9 | 63 | 24 | 25 | 64 | 11 | 2 | 18.18% | 10 | 3 | 70.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 78 | 53 | 64 | 22 | 41 | 21 | 50.0% | 7.9% | 84.1% | 92.0 | Unlucky |
3 | Senators | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 20 | 30 | 0 | 0 | 3 | 5 | 1 | 1 | 123 | 34 | 48 | 39 | 2 | 98 | 29 | 28 | 66 | 11 | 2 | 18.18% | 13 | 4 | 69.23% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 73 | 49 | 66 | 22 | 41 | 20 | 66.7% | 8.1% | 91.8% | 100.0 | DULL |
4 | Islanders | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 52 | 20 | 15 | 17 | 0 | 72 | 19 | 18 | 38 | 5 | 1 | 20.00% | 8 | 2 | 75.00% | 1 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 45 | 32 | 49 | 15 | 24 | 11 | 33.3% | 7.7% | 88.9% | 96.6 | Unlucky |
5 | Hurricanes | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 83 | 36 | 25 | 22 | 0 | 94 | 16 | 22 | 61 | 8 | 2 | 25.00% | 11 | 1 | 90.91% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 75 | 52 | 66 | 19 | 38 | 18 | 21.4% | 6.0% | 87.2% | 93.3 | Unlucky |
6 | Avalanche | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 3 | 0 | 0 | 74 | 22 | 23 | 29 | 0 | 47 | 19 | 10 | 32 | 7 | 1 | 14.29% | 4 | 1 | 75.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 53 | 38 | 40 | 15 | 25 | 12 | 66.7% | 6.8% | 93.6% | 100.4 | DULL |
7 | Rangers | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 5 | 7 | 4 | 1.000 | 12 | 21 | 33 | 0 | 0 | 7 | 2 | 2 | 1 | 77 | 24 | 23 | 29 | 1 | 74 | 14 | 18 | 46 | 11 | 3 | 27.27% | 8 | 2 | 75.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 54 | 39 | 42 | 13 | 24 | 13 | 75.0% | 15.6% | 93.2% | 108.8 | LUCKY |
8 | Red Wings | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 10 | 0 | 3 | 0.500 | 10 | 18 | 28 | 0 | 0 | 3 | 5 | 2 | 0 | 77 | 19 | 31 | 24 | 6 | 70 | 20 | 27 | 67 | 14 | 3 | 21.43% | 10 | 4 | 60.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 82 | 58 | 64 | 20 | 38 | 20 | 53.8% | 13.0% | 85.7% | 98.7 | FUN |
9 | Canadiens | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 0 | 1 | 19 | 2 | 8 | 7 | 4 | 14 | 4 | 8 | 13 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 27 | 19 | 23 | 8 | 13 | 6 | 100.0% | 10.5% | 92.9% | 103.4 | LUCKY |
10 | Capitals | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 3 | 2 | 4 | 0 | 70 | 15 | 28 | 27 | 0 | 67 | 20 | 22 | 53 | 7 | 2 | 28.57% | 10 | 1 | 90.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 52 | 36 | 41 | 14 | 25 | 13 | 58.3% | 12.9% | 91.0% | 103.9 | FUN |
11 | Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 4 | 2 | 1 | 0 | 67 | 27 | 16 | 24 | 0 | 34 | 7 | 10 | 31 | 12 | 3 | 25.00% | 5 | 2 | 60.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 52 | 36 | 40 | 15 | 26 | 13 | 57.1% | 10.4% | 85.3% | 95.7 | FUN |
12 | Canucks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 42 | 18 | 17 | 7 | 0 | 72 | 22 | 12 | 38 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 42 | 29 | 52 | 14 | 24 | 11 | 28.6% | 4.8% | 91.7% | 96.4 | DULL |
13 | Kings | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 10 | -6 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 0 | 4 | 0 | 0 | 54 | 18 | 19 | 16 | 1 | 64 | 19 | 12 | 28 | 7 | 3 | 42.86% | 6 | 1 | 83.33% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 53 | 39 | 42 | 12 | 24 | 12 | 10.0% | 7.4% | 84.4% | 91.8 | Unlucky |
14 | Predators | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 62 | 23 | 24 | 14 | 1 | 62 | 19 | 22 | 43 | 3 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 50 | 35 | 45 | 14 | 26 | 12 | 50.0% | 8.1% | 91.9% | 100.0 | DULL |
15 | Lightning | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 4 | 9 | 6 | 1.000 | 13 | 24 | 37 | 0 | 1 | 4 | 4 | 5 | 0 | 110 | 39 | 22 | 49 | 0 | 74 | 17 | 20 | 55 | 18 | 4 | 22.22% | 10 | 1 | 90.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 79 | 56 | 61 | 20 | 38 | 20 | 75.0% | 11.8% | 94.6% | 106.4 | LUCKY |
16 | Oilers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 36 | 14 | 9 | 13 | 0 | 53 | 12 | 18 | 38 | 3 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 43 | 27 | 49 | 13 | 26 | 13 | 62.5% | 13.9% | 92.5% | 106.3 | LUCKY |
17 | Blues | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 1 | 3 | 3 | 0 | 71 | 14 | 30 | 27 | 0 | 69 | 21 | 16 | 32 | 7 | 2 | 28.57% | 8 | 2 | 75.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 48 | 32 | 45 | 13 | 25 | 12 | 50.0% | 9.9% | 89.9% | 99.7 | FUN |
18 | Coyotes | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 1 | 4 | 3 | 0 | 46 | 12 | 19 | 13 | 2 | 51 | 9 | 20 | 39 | 8 | 2 | 25.00% | 10 | 2 | 80.00% | 1 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 51 | 35 | 45 | 15 | 27 | 13 | 54.5% | 17.4% | 86.3% | 103.7 | FUN |
19 | Bruins | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 4 | 4 | 3 | 0.750 | 8 | 12 | 20 | 0 | 0 | 4 | 1 | 3 | 1 | 58 | 18 | 20 | 18 | 9 | 62 | 16 | 16 | 29 | 9 | 5 | 55.56% | 8 | 1 | 87.50% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 49 | 33 | 47 | 16 | 28 | 13 | 50.0% | 13.8% | 93.5% | 107.3 | LUCKY |
20 | Sabres | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 0 | 50 | 18 | 16 | 16 | 0 | 62 | 11 | 25 | 42 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 46 | 32 | 48 | 14 | 24 | 12 | 62.5% | 12.0% | 91.9% | 103.9 | LUCKY |
21 | Blackhawks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 36 | 9 | 17 | 10 | 0 | 40 | 8 | 4 | 26 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 22 | 15 | 24 | 7 | 12 | 5 | 57.1% | 13.9% | 92.5% | 106.4 | LUCKY |
22 | Panthers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 61 | 13 | 15 | 33 | 0 | 81 | 17 | 12 | 35 | 9 | 1 | 11.11% | 5 | 0 | 100.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 45 | 32 | 49 | 15 | 24 | 11 | 16.7% | 3.3% | 93.8% | 97.1 | DULL |
23 | Blue Jackets | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 6 | 1.000 | 10 | 17 | 27 | 0 | 1 | 4 | 3 | 3 | 0 | 72 | 30 | 21 | 21 | 0 | 92 | 35 | 26 | 62 | 11 | 3 | 27.27% | 12 | 0 | 100.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 64 | 42 | 77 | 22 | 38 | 19 | 63.6% | 13.9% | 95.7% | 109.5 | LUCKY |
24 | Jets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 5 | 8 | 0 | 1 | 3 | 0 | 0 | 0 | 54 | 19 | 24 | 11 | 0 | 48 | 16 | 22 | 42 | 6 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 51 | 35 | 43 | 14 | 25 | 12 | 50.0% | 5.6% | 87.5% | 93.1 | Unlucky |
25 | Ducks | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 3 | 0.750 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 43 | 12 | 9 | 21 | 1 | 54 | 17 | 12 | 36 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 49 | 33 | 47 | 15 | 24 | 12 | 40.0% | 7.0% | 94.4% | 101.4 | DULL |
26 | Stars | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 0 | 1 | 54 | 19 | 17 | 17 | 1 | 63 | 10 | 35 | 40 | 7 | 1 | 14.29% | 11 | 2 | 81.82% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 48 | 34 | 48 | 14 | 23 | 11 | 50.0% | 9.3% | 90.5% | 99.7 | FUN |
27 | Maple Leafs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 4 | 1.000 | 11 | 22 | 33 | 0 | 0 | 5 | 4 | 2 | 0 | 86 | 24 | 36 | 26 | 0 | 67 | 18 | 18 | 41 | 4 | 2 | 50.00% | 8 | 1 | 87.50% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 50 | 34 | 43 | 14 | 26 | 12 | 64.3% | 12.8% | 91.0% | 103.8 | FUN |
28 | Penguins | 4 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 12 | 15 | -3 | 4 | 0.500 | 12 | 22 | 34 | 0 | 0 | 4 | 3 | 4 | 1 | 134 | 39 | 40 | 50 | 12 | 116 | 27 | 26 | 69 | 19 | 2 | 10.53% | 7 | 4 | 42.86% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 103 | 72 | 94 | 31 | 55 | 27 | 47.6% | 9.0% | 87.1% | 96.0 | FUN |
29 | Sharks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 79 | 31 | 24 | 24 | 0 | 60 | 10 | 24 | 33 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 48 | 34 | 45 | 14 | 25 | 12 | 22.2% | 3.8% | 85.0% | 88.8 | Unlucky |
30 | Golden Knights | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 61 | 21 | 28 | 12 | 0 | 72 | 8 | 17 | 43 | 1 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 48 | 34 | 45 | 13 | 26 | 13 | 50.0% | 8.2% | 90.3% | 98.5 | Unlucky |
31 | Kraken | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 5 | 1 | 1 | 0 | 55 | 21 | 21 | 13 | 0 | 46 | 17 | 14 | 51 | 10 | 4 | 40.00% | 6 | 1 | 83.33% | 0 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 49 | 35 | 45 | 14 | 24 | 12 | 50.0% | 12.7% | 91.3% | 104.0 | LUCKY |
_Vs Division | 19 | 7 | 7 | 0 | 1 | 1 | 1 | 2 | 61 | 60 | 1 | 21 | 0.553 | 61 | 109 | 170 | 0 | 1 | 22 | 15 | 22 | 2 | 602 | 192 | 188 | 210 | 22 | 578 | 155 | 157 | 393 | 72 | 15 | 20.83% | 66 | 13 | 80.30% | 1 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 474 | 328 | 436 | 139 | 248 | 125 | 49.5% | 10.1% | 89.6% | 99.8 | FUN | |
_Vs Conference | 37 | 16 | 12 | 0 | 2 | 1 | 2 | 4 | 123 | 103 | 20 | 45 | 0.608 | 123 | 221 | 344 | 0 | 2 | 44 | 37 | 38 | 5 | 1186 | 359 | 384 | 422 | 43 | 1106 | 287 | 311 | 741 | 147 | 33 | 22.45% | 133 | 27 | 79.70% | 1 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 928 | 645 | 842 | 271 | 485 | 244 | 54.2% | 10.4% | 90.7% | 101.1 | FUN | |
_Since Last GM Reset | 68 | 29 | 25 | 0 | 3 | 5 | 2 | 4 | 200 | 194 | 6 | 77 | 0.566 | 200 | 359 | 559 | 0 | 3 | 71 | 67 | 57 | 6 | 2066 | 648 | 707 | 684 | 49 | 1988 | 516 | 577 | 1322 | 246 | 52 | 21.14% | 247 | 48 | 80.57% | 2 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 1689 | 1174 | 1554 | 497 | 881 | 441 | 50.3% | 9.7% | 90.2% | 99.9 | FUN | |
Total | 68 | 29 | 25 | 0 | 3 | 5 | 2 | 4 | 200 | 194 | 6 | 77 | 0.566 | 200 | 359 | 559 | 0 | 3 | 71 | 67 | 57 | 6 | 2066 | 648 | 707 | 684 | 49 | 1988 | 516 | 577 | 1322 | 246 | 52 | 21.14% | 247 | 48 | 80.57% | 2 | 1241 | 2365 | 52.47% | 1181 | 2268 | 52.07% | 550 | 1081 | 50.88% | 1689 | 1174 | 1554 | 497 | 881 | 441 | 50.3% | 9.7% | 90.2% | 99.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2365 |
Neutral Zone Start | 1081 |
Defensive Zone Start | 2268 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2972 |
Faceoffs Lost | 2742 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 19.9 | 20.31 |
3rd Period | 30.0 | 30.68 |
Overtime | 30.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 146 |
---|---|
PP Goal | 52 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 20 | 14 |
Lost | 11 | 14 |
Overtime Lost | 3 | 6 |
PP Attempt | 246 |
---|---|
PP Goal | 52 |
PK Attempt | 247 |
PK Goal Against | 48 |
Home | |
---|---|
Shots For | 30.4 |
Shots Against | 29.2 |
Goals For | 2.9 |
Goals Against | 2.9 |
Hits | 19.4 |
Shots Blocked | 7.6 |
Pim | 8.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-12 | Flyers | @ | Blue Jackets | Flyers5,Blue Jackets3 | RECAP | |||||||||
2023-10-14 | Flyers | @ | Senators | Flyers4,Senators1 | RECAP | |||||||||
2023-10-17 | Canucks | @ | Flyers | Canucks3,Flyers2 | RECAP | |||||||||
2023-10-19 | Oilers | @ | Flyers | Oilers3,Flyers5 | RECAP | |||||||||
2023-10-21 | Flyers | @ | Stars | Flyers0,Stars2 | RECAP | |||||||||
2023-10-24 | Flyers | @ | Golden Knights | Flyers2,Golden Knights5 | RECAP | |||||||||
2023-10-26 | Wild | @ | Flyers | Wild4,Flyers5 | RECAP | |||||||||
2023-10-28 | Ducks | @ | Flyers | Ducks2,Flyers3 | RECAP | |||||||||
2023-10-30 | Hurricanes | @ | Flyers | Hurricanes3,Flyers0 | RECAP | |||||||||
2023-11-01 | Sabres | @ | Flyers | Sabres3,Flyers2 | RECAP | |||||||||
2023-11-03 | Flyers | @ | Sabres | Flyers4,Sabres2 | RECAP | |||||||||
2023-11-04 | Kings | @ | Flyers | Kings2,Flyers1 (OT) | RECAP | |||||||||
2023-11-07 | Flyers | @ | Sharks | Flyers1,Sharks5 | RECAP | |||||||||
2023-11-10 | Flyers | @ | Ducks | Flyers0,Ducks1 (OT) | RECAP | |||||||||
2023-11-11 | Flyers | @ | Kings | Flyers3,Kings8 | RECAP | |||||||||
2023-11-15 | Flyers | @ | Hurricanes | Flyers3,Hurricanes5 | RECAP | |||||||||
2023-11-18 | Golden Knights | @ | Flyers | Golden Knights2,Flyers3 | RECAP | |||||||||
2023-11-19 | Blue Jackets | @ | Flyers | Blue Jackets0,Flyers2 | RECAP | |||||||||
2023-11-22 | Flyers | @ | Islanders | Flyers3,Islanders4 | RECAP | |||||||||
2023-11-24 | Rangers | @ | Flyers | Rangers3,Flyers4 (OT) | RECAP | |||||||||
2023-11-25 | Flyers | @ | Islanders | Flyers1,Islanders4 | RECAP | |||||||||
2023-11-28 | Hurricanes | @ | Flyers | Hurricanes4,Flyers2 | RECAP | |||||||||
2023-11-30 | Devils | @ | Flyers | Devils5,Flyers2 | RECAP | |||||||||
2023-12-02 | Flyers | @ | Penguins | Flyers3,Penguins2 (SO) | RECAP | |||||||||
2023-12-04 | Penguins | @ | Flyers | Penguins4,Flyers3 (SO) | RECAP | |||||||||
2023-12-07 | Flyers | @ | Coyotes | Flyers4,Coyotes5 (OT) | RECAP | |||||||||
2023-12-09 | Flyers | @ | Avalanche | Flyers4,Avalanche1 | RECAP | |||||||||
2023-12-12 | Flyers | @ | Predators | Flyers2,Predators1 | RECAP | |||||||||
2023-12-14 | Capitals | @ | Flyers | Capitals1,Flyers2 | RECAP | |||||||||
2023-12-16 | Red Wings | @ | Flyers | Red Wings4,Flyers3 | RECAP | |||||||||
2023-12-19 | Flyers | @ | Devils | Flyers2,Devils3 (SO) | RECAP | |||||||||
2023-12-21 | Predators | @ | Flyers | Predators4,Flyers3 (OT) | RECAP | |||||||||
2023-12-22 | Flyers | @ | Red Wings | Flyers2,Red Wings3 (SO) | RECAP | |||||||||
2023-12-28 | Flyers | @ | Canucks | Flyers0,Canucks3 | RECAP | |||||||||
2023-12-29 | Flyers | @ | Kraken | Flyers2,Kraken1 | RECAP | |||||||||
2023-12-31 | Flyers | @ | Flames | Flyers2,Flames4 | RECAP | |||||||||
2024-01-02 | Flyers | @ | Oilers | Flyers0,Oilers1 | RECAP | |||||||||
2024-01-04 | Blue Jackets | @ | Flyers | Blue Jackets1,Flyers3 | RECAP | |||||||||
2024-01-06 | Flames | @ | Flyers | Flames2,Flyers1 | RECAP | |||||||||
2024-01-08 | Penguins | @ | Flyers | Penguins4,Flyers2 | RECAP | |||||||||
2024-01-10 | Canadiens | @ | Flyers | Canadiens1,Flyers2 (SO) | RECAP | |||||||||
2024-01-12 | Flyers | @ | Wild | Flyers2,Wild1 | RECAP | |||||||||
2024-01-13 | Flyers | @ | Jets | Flyers1,Jets6 | RECAP | |||||||||
2024-01-15 | Flyers | @ | Blues | Flyers2,Blues5 | RECAP | |||||||||
2024-01-18 | Stars | @ | Flyers | Stars4,Flyers5 (OT) | RECAP | |||||||||
2024-01-20 | Avalanche | @ | Flyers | Avalanche2,Flyers1 | RECAP | |||||||||
2024-01-21 | Senators | @ | Flyers | Senators3,Flyers1 | RECAP | |||||||||
2024-01-23 | Lightning | @ | Flyers | Lightning3,Flyers5 | RECAP | |||||||||
2024-01-25 | Flyers | @ | Red Wings | Flyers5,Red Wings3 | RECAP | |||||||||
2024-01-27 | Bruins | @ | Flyers | Bruins1,Flyers6 | RECAP | |||||||||
2024-02-06 | Flyers | @ | Panthers | Flyers1,Panthers2 | RECAP | |||||||||
2024-02-08 | Jets | @ | Flyers | Jets0,Flyers2 | RECAP | |||||||||
2024-02-10 | Kraken | @ | Flyers | Kraken3,Flyers5 | RECAP | |||||||||
2024-02-12 | Coyotes | @ | Flyers | Coyotes2,Flyers4 | RECAP | |||||||||
2024-02-15 | Flyers | @ | Maple Leafs | Flyers6,Maple Leafs3 | RECAP | |||||||||
2024-02-17 | Flyers | @ | Devils | Flyers5,Devils2 | RECAP | |||||||||
2024-02-21 | Flyers | @ | Blackhawks | Flyers5,Blackhawks3 | RECAP | |||||||||
2024-02-24 | Rangers | @ | Flyers | Rangers2,Flyers8 | RECAP | |||||||||
2024-02-25 | Flyers | @ | Penguins | Flyers4,Penguins5 (OT) | RECAP | |||||||||
2024-02-27 | Lightning | @ | Flyers | Lightning1,Flyers6 | RECAP | |||||||||
2024-03-01 | Flyers | @ | Capitals | Flyers7,Capitals5 | RECAP | |||||||||
2024-03-02 | Senators | @ | Flyers | Senators4,Flyers5 (OT) | RECAP | |||||||||
2024-03-04 | Blues | @ | Flyers | Blues2,Flyers5 | RECAP | |||||||||
2024-03-07 | Flyers | @ | Panthers | Flyers1,Panthers3 | RECAP | |||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-03-09 | Flyers | @ | Lightning | Flyers2,Lightning0 | RECAP | |||||||||
2024-03-12 | Sharks | @ | Flyers | Sharks4,Flyers2 | RECAP | |||||||||
2024-03-14 | Maple Leafs | @ | Flyers | Maple Leafs3,Flyers5 | RECAP | |||||||||
2024-03-16 | Flyers | @ | Bruins | Flyers2,Bruins3 (SO) | RECAP | |||||||||
2024-03-19 | Maple Leafs | @ | Flyers | |||||||||||
2024-03-21 | Flyers | @ | Hurricanes | |||||||||||
2024-03-23 | Bruins | @ | Flyers | |||||||||||
2024-03-24 | Panthers | @ | Flyers | |||||||||||
2024-03-26 | Flyers | @ | Rangers | |||||||||||
2024-03-28 | Flyers | @ | Canadiens | |||||||||||
2024-03-30 | Blackhawks | @ | Flyers | |||||||||||
2024-04-01 | Islanders | @ | Flyers | |||||||||||
2024-04-05 | Flyers | @ | Sabres | |||||||||||
2024-04-06 | Flyers | @ | Blue Jackets | |||||||||||
2024-04-09 | Flyers | @ | Canadiens | |||||||||||
2024-04-11 | Flyers | @ | Rangers | |||||||||||
2024-04-13 | Devils | @ | Flyers | |||||||||||
2024-04-16 | Capitals | @ | Flyers |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,691,666$ | 0$ | 81,432,787$ | -4,191,666$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | Wells Fargo Center | ||
City | Philadelphia | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 192864 | 160801 | 64156 | 129626 | 31591 |
Attendance PCT | 94.54% | 94.59% | 94.35% | 95.31% | 92.91% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
7 | 17031 - 94.61% | 1,531,308$ | 52,064,481$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
87,691,666$ | 87,691,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
67,650,891$ | 456,727$ | 66,817,523$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
10,719,158$ | 32 | 461,936$ | 14,781,952$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
15,426,897$ | 87,691,666$ | 85,868,010$ | 81,160,271$ |
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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2024 | ||||||||
2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aidan Hreschuk | Flyers | 2021 | 82 | ||
Alexander Rykov | Flyers | 2023 | 90 | ||
Arseny Koromyslov | Flyers | 2022 | 143 | ||
Arvid Bergstrom | Flyers | 2023 | 219 | ||
Beckett Hendrickson | Flyers | 2023 | 135 | ||
Brandon Lisowsky | Flyers | 2022 | 167 | ||
Brayden Peters | Flyers | 2020 | 187 | ||
Bryce Montgomery | Flyers | 2021 | 172 | ||
Chase McLane | Flyers | ||||
Dru Krebs | Flyers | 2021 | 162 | ||
Garin Bjorklund | Flyers | 2020 | 145 | ||
Jake Boltmann | Flyers | ||||
Jake Karabela | Flyers | 2022 | 122 | ||
James Fisher | Flyers | 2022 | 218 | ||
Joni Jurmo | Flyers | 2020 | 63 | ||
Josh Davies | Flyers | 2022 | 215 | ||
Juho Markkanen | Flyers | 2020 | 181 | ||
Justin Janicke | Flyers | 2021 | 183 | ||
Kasper Puutio | Flyers | 2020 | 119 | ||
Kirill Gerasimyuk | Flyers | 2021 | 119 | ||
Landon Sim | Flyers | 2022 | 208 | ||
Logan Neaton | Flyers | 2019 | 166 | ||
Marcus Davidsson | Flyers | 6.0 - 5.0 | |||
Matthew Soto | Flyers | 2023 | 195 | ||
Matvey Petrov | Flyers | 2021 | 151 | ||
Noah Laba | Flyers | 2022 | 123 | ||
Olof Lindbom | Flyers | 7.5 - 4.5 | |||
Otto Salin | Flyers | 2022 | 154 | ||
Parker Bell | Flyers | 2022 | 186 | ||
Riley Heidt | Flyers | 2023 | 27 | ||
Ryan Ufko | Flyers | 2021 | 87 | ||
Scott Ratzlaff | Flyers | 2023 | 123 | ||
Simon Forsmark | Flyers | 2022 | 88 | ||
Tuomas Uronen | Flyers | 2023 | 171 | ||
Ty Smilanic | Flyers | 2020 | 57 | ||
Yaroslav Likhachyov | Flyers | 2019 | 197 | ||
Zeb Forsfjall | Flyers | 2023 | 140 |
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