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Full Scoreboard »» |
Philadelphia Flyers 41-31-9, 91pts · 11th 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 | 64 | 94 | 31 | 8,500,000$/5yrs | |||
Steven Stamkos (C) | 91 | C/LW/RW | 100.00 | 68 | 32 | 81 | 81 | 71 | 87 | 90 | 83 | 83 | 85 | 85 | 61 | 84 | 83 | 99 | 0 | 69 | 92 | 34 | 8,500,000$/1yrs | |||
Gustav Nyquist | 0 | LW/RW | 100.00 | 59 | 32 | 94 | 78 | 70 | 84 | 90 | 78 | 60 | 84 | 75 | 70 | 77 | 84 | 91 | 0 | 59 | 89 | 34 | 4,500,000$/3yrs | |||
Mikael Backlund | 0 | C | 100.00 | 69 | 33 | 85 | 75 | 79 | 86 | 90 | 74 | 88 | 79 | 74 | 83 | 74 | 85 | 97 | 0 | 65 | 89 | 35 | 5,350,000$/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 | 76 | 88 | 27 | 2,950,000$/3yrs | |||
Anthony Cirelli | 71 | C/RW | 100.00 | 64 | 32 | 83 | 75 | 74 | 87 | 90 | 75 | 82 | 75 | 76 | 90 | 75 | 71 | 69 | 0 | 73 | 87 | 26 | 5,500,000$/3yrs | |||
Teddy Blueger | 0 | C/LW | 100.00 | 66 | 41 | 86 | 76 | 72 | 81 | 83 | 74 | 85 | 80 | 72 | 83 | 73 | 75 | 74 | 0 | 59 | 87 | 29 | 2,250,000$/2yrs | |||
Jason Dickinson | 0 | C/LW | 100.00 | 74 | 39 | 76 | 73 | 80 | 82 | 90 | 72 | 84 | 69 | 80 | 93 | 76 | 74 | 71 | 0 | 70 | 87 | 28 | 2,500,000$/4yrs | |||
Nick Paul | 0 | C/LW/RW | 100.00 | 66 | 41 | 85 | 74 | 89 | 85 | 90 | 73 | 86 | 71 | 79 | 73 | 76 | 74 | 72 | 0 | 61 | 85 | 29 | 3,150,000$/6yrs | |||
Ondrej Palat | 18 | LW/RW | 100.00 | 70 | 37 | 81 | 69 | 75 | 82 | 88 | 70 | 57 | 75 | 69 | 73 | 70 | 81 | 88 | 0 | 56 | 83 | 33 | 5,500,000$/3yrs | |||
Jujhar Khaira | 16 | C/LW | 100.00 | 80 | 48 | 79 | 67 | 86 | 78 | 77 | 65 | 77 | 68 | 67 | 84 | 66 | 75 | 73 | 0 | 68 | 82 | 29 | 775,000$/3yrs | |||
Kasperi Kapanen | 0 | LW/RW | 100.00 | 71 | 33 | 92 | 72 | 77 | 79 | 87 | 71 | 60 | 73 | 72 | 70 | 71 | 71 | 70 | 0 | 79 | 82 | 27 | 3,500,000$/1yrs | |||
Adam Fox | 23 | D | 100.00 | 62 | 32 | 80 | 87 | 70 | 95 | 88 | 82 | 30 | 90 | 77 | 86 | 80 | 70 | 68 | 0 | 61 | 94 | 26 | 9,500,000$/6yrs | |||
Justin Faulk | 0 | D | 100.00 | 72 | 33 | 86 | 76 | 82 | 94 | 90 | 76 | 30 | 81 | 68 | 86 | 72 | 79 | 78 | 0 | 46 | 91 | 32 | 6,200,000$/3yrs | |||
Gustav Forsling | 0 | D | 100.00 | 71 | 36 | 80 | 72 | 73 | 93 | 90 | 74 | 30 | 77 | 70 | 89 | 72 | 72 | 70 | 0 | 66 | 89 | 27 | 3,000,000$/8yrs | |||
Jake Walman | 46 | D | 100.00 | 60 | 33 | 79 | 76 | 85 | 88 | 90 | 71 | 30 | 71 | 78 | 90 | 75 | 73 | 70 | 0 | 66 | 88 | 28 | 3,000,000$/4yrs | |||
Carson Soucy | 0 | D | 100.00 | 68 | 34 | 95 | 65 | 86 | 84 | 76 | 72 | 30 | 73 | 69 | 85 | 71 | 75 | 75 | 0 | 49 | 86 | 29 | 1,500,000$/3yrs | |||
Luke Schenn | 2 | D | 100.00 | 99 | 54 | 63 | 62 | 88 | 82 | 84 | 67 | 30 | 71 | 61 | 79 | 64 | 83 | 79 | 0 | 81 | 84 | 34 | 1,250,000$/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 | 36 | 1,500,000$/1yrs | |||
TEAM AVERAGE | 99.95 | 70 | 37 | 82 | 73 | 79 | 85 | 87 | 74 | 59 | 76 | 73 | 81 | 74 | 77 | 78 | 0 | 62 | 87 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor Hellebuyck | 0 | 98.00 | 93 | 95 | 84 | 85 | 94 | 84 | 94 | 96 | 91 | 96 | 94 | 77 | 82 | 0 | 48 | 95 | 30 | 6,166,666$/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$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 88 | 89 | 80 | 87 | 95 | 84 | 94 | 95 | 91 | 95 | 94 | 75 | 80 | 0 | 55 | 94 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jay Woodcroft | 76 | 71 | 91 | 83 | 80 | 76 | 76 | CAN | 60 | 3 | 1,000,000$ |
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 | 81 | 35 | 55 | 90 | 14 | 29 | 5 | 105 | 332 | 115 | 257 | 10.54% | 17 | 21.18 | 11 | 19 | 30 | 252 | 2 | 0 | 2 | 76 | 7 | 0 | 53.02% | 2171 | 0 | 0 | 0 | 2 | 1.05 | 0 | 7 |
2 | Anthony Cirelli | Flyers | 71 | C/RW | 81 | 29 | 41 | 70 | 20 | 28 | 0 | 88 | 242 | 77 | 187 | 11.98% | 26 | 19.58 | 7 | 12 | 19 | 222 | 0 | 0 | 0 | 266 | 4 | 2 | 52.95% | 644 | 0 | 0 | 2 | 1 | 0.88 | 0 | 1 |
3 | Adam Fox | Flyers | 23 | D | 81 | 9 | 58 | 67 | 4 | 28 | 0 | 60 | 120 | 47 | 88 | 7.50% | 87 | 24.01 | 7 | 23 | 30 | 258 | 0 | 0 | 0 | 134 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 |
4 | Steven Stamkos | Flyers | 91 | C/LW/RW | 81 | 30 | 34 | 64 | 12 | 44 | 0 | 153 | 263 | 73 | 207 | 11.41% | 6 | 20.84 | 6 | 9 | 15 | 253 | 0 | 0 | 0 | 2 | 6 | 3 | 51.78% | 477 | 0 | 0 | 0 | 1 | 0.76 | 1 | 7 |
5 | Gustav Forsling | Flyers | 0 | D | 81 | 17 | 42 | 59 | 5 | 56 | 10 | 111 | 125 | 48 | 85 | 13.60% | 89 | 22.09 | 8 | 14 | 22 | 221 | 0 | 2 | 2 | 229 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 |
6 | Jason Dickinson | Flyers | 0 | C/LW | 81 | 29 | 28 | 57 | 16 | 61 | 5 | 145 | 249 | 68 | 163 | 11.65% | 20 | 17.82 | 7 | 6 | 13 | 168 | 1 | 0 | 1 | 290 | 1 | 0 | 52.52% | 695 | 0 | 0 | 1 | 0 | 0.79 | 1 | 2 |
7 | Jake Walman | Flyers | 46 | D | 81 | 12 | 44 | 56 | -3 | 65 | 5 | 128 | 154 | 54 | 110 | 7.79% | 101 | 23.00 | 7 | 17 | 24 | 228 | 0 | 0 | 0 | 232 | 2 | 1 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.60 | 0 | 1 |
8 | Justin Faulk | Flyers | 0 | D | 75 | 20 | 33 | 53 | 3 | 52 | 0 | 132 | 113 | 30 | 85 | 17.70% | 108 | 23.00 | 10 | 11 | 21 | 229 | 0 | 2 | 2 | 130 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 |
9 | Gustav Nyquist | Flyers | 0 | LW/RW | 81 | 8 | 35 | 43 | 7 | 10 | 0 | 52 | 178 | 51 | 111 | 4.49% | 9 | 19.61 | 2 | 16 | 18 | 246 | 0 | 0 | 0 | 2 | 1 | 2 | 41.67% | 120 | 0 | 0 | 0 | 0 | 0.54 | 2 | 3 |
10 | Teddy Blueger | Flyers | 0 | C/LW | 76 | 8 | 34 | 42 | 26 | 25 | 5 | 45 | 134 | 28 | 84 | 5.97% | 10 | 14.02 | 3 | 5 | 8 | 116 | 0 | 0 | 0 | 76 | 2 | 0 | 51.09% | 1376 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 |
11 | Mathieu Joseph | Flyers | 0 | C/LW/RW | 81 | 15 | 20 | 35 | -15 | 58 | 10 | 117 | 230 | 48 | 145 | 6.52% | 19 | 15.39 | 2 | 4 | 6 | 98 | 0 | 1 | 1 | 87 | 2 | 2 | 43.64% | 110 | 0 | 0 | 0 | 0 | 0.56 | 0 | 1 |
12 | Mikael Backlund | Flyers | 0 | C | 79 | 11 | 23 | 34 | 1 | 22 | 0 | 49 | 186 | 61 | 141 | 5.91% | 17 | 15.85 | 0 | 1 | 1 | 44 | 0 | 2 | 2 | 217 | 0 | 1 | 53.21% | 1697 | 0 | 0 | 0 | 0 | 0.54 | 0 | 2 |
13 | Kasperi Kapanen | Flyers | 0 | LW/RW | 81 | 12 | 19 | 31 | 2 | 12 | 0 | 38 | 143 | 36 | 96 | 8.39% | 4 | 10.85 | 0 | 4 | 4 | 120 | 0 | 0 | 0 | 0 | 3 | 0 | 40.00% | 65 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 |
14 | Nick Paul | Flyers | 0 | C/LW/RW | 81 | 16 | 9 | 25 | -10 | 28 | 10 | 54 | 116 | 33 | 73 | 13.79% | 11 | 14.58 | 1 | 2 | 3 | 98 | 0 | 0 | 0 | 19 | 2 | 2 | 53.58% | 433 | 0 | 0 | 0 | 0 | 0.42 | 0 | 4 |
15 | Luke Schenn | Flyers | 2 | D | 65 | 3 | 11 | 14 | 15 | 117 | 25 | 151 | 33 | 9 | 15 | 9.09% | 67 | 14.42 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 102 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 |
16 | Carson Soucy | Flyers | 0 | D | 62 | 5 | 9 | 14 | 1 | 20 | 0 | 29 | 30 | 6 | 24 | 16.67% | 55 | 14.64 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 112 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 |
17 | Ondrej Palat | Flyers | 18 | LW/RW | 81 | 6 | 6 | 12 | -11 | 18 | 0 | 65 | 80 | 28 | 57 | 7.50% | 3 | 10.07 | 2 | 1 | 3 | 75 | 0 | 0 | 0 | 0 | 0 | 0 | 39.66% | 58 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 |
18 | 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 |
19 | Jujhar Khaira | Flyers | 16 | C/LW | 68 | 4 | 6 | 10 | -3 | 18 | 0 | 62 | 54 | 16 | 44 | 7.41% | 8 | 8.23 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 104 | 2 | 1 | 50.22% | 456 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 |
Team Total or Average | 1437 | 271 | 515 | 786 | 83 | 717 | 75 | 1632 | 2798 | 836 | 1984 | 9.69% | 690 | 17.29 | 73 | 144 | 217 | 2642 | 3 | 8 | 11 | 2148 | 40 | 17 | 52.01% | 8302 | 0 | 0 | 4 | 4 | 0.63 | 4 | 28 |
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 | 66 | 29 | 28 | 5 | 0.906 | 2.82 | 3657 | 6 | 2 | 172 | 1824 | 0 | 2 | 0 | 0.826 | 23 | 63 | 18 | 7 | 3 | 3 |
2 | Adin Hill | Flyers | 27 | 12 | 3 | 4 | 0.890 | 3.18 | 1247 | 0 | 1 | 66 | 601 | 0 | 0 | 0 | 0.667 | 3 | 18 | 63 | 1 | 1 | 0 |
Team Total or Average | 93 | 41 | 31 | 9 | 0.902 | 2.91 | 4905 | 6 | 3 | 238 | 2425 | 0 | 2 | 0 | 0.808 | 26 | 81 | 81 | 8 | 4 | 3 |
Projected Total Cap Hit | 81,336,433$ |
Projected Cap Space | 2,163,567$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 79,509,525$ |
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 | 36 | 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 | 32 | 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 | 31 | 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 | 29 | 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 | 33 | 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 | ||||||
Jacob Quillan | C | 22 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 44 | 30 | 49 | 15 | 25 | 12 | 37.5% | 6.5% | 87.2% | 93.8 | Unlucky |
2 | Devils | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 12 | 15 | -3 | 3 | 0.375 | 12 | 20 | 32 | 0 | 0 | 3 | 4 | 5 | 0 | 148 | 39 | 46 | 57 | 9 | 96 | 35 | 52 | 76 | 14 | 3 | 21.43% | 14 | 4 | 71.43% | 0 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 101 | 69 | 89 | 30 | 54 | 26 | 45.0% | 8.1% | 84.4% | 92.5 | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 73 | 49 | 66 | 22 | 41 | 20 | 66.7% | 8.1% | 91.8% | 100.0 | DULL |
4 | Islanders | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 3 | 0 | 97 | 30 | 30 | 37 | 0 | 101 | 31 | 29 | 66 | 10 | 2 | 20.00% | 11 | 4 | 63.64% | 1 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 71 | 49 | 69 | 22 | 38 | 19 | 36.4% | 6.2% | 89.1% | 95.3 | Unlucky |
5 | Hurricanes | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 20 | -11 | 0 | 0.000 | 9 | 17 | 26 | 0 | 0 | 3 | 3 | 3 | 0 | 109 | 51 | 30 | 28 | 0 | 130 | 26 | 32 | 91 | 8 | 2 | 25.00% | 16 | 4 | 75.00% | 0 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 99 | 69 | 90 | 26 | 50 | 24 | 30.4% | 8.3% | 84.6% | 92.9 | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 53 | 38 | 40 | 15 | 25 | 12 | 66.7% | 6.8% | 93.6% | 100.4 | DULL |
7 | Rangers | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 26 | 11 | 15 | 8 | 1.000 | 26 | 48 | 74 | 0 | 0 | 12 | 6 | 7 | 1 | 182 | 56 | 60 | 65 | 1 | 121 | 27 | 24 | 86 | 21 | 9 | 42.86% | 11 | 4 | 63.64% | 0 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 109 | 80 | 80 | 27 | 50 | 28 | 70.8% | 14.3% | 90.9% | 105.2 | FUN |
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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 82 | 58 | 64 | 20 | 38 | 20 | 53.8% | 13.0% | 85.7% | 98.7 | FUN |
9 | Canadiens | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 17 | 27 | 0 | 0 | 2 | 3 | 3 | 2 | 81 | 28 | 23 | 26 | 6 | 80 | 29 | 35 | 59 | 9 | 3 | 33.33% | 15 | 4 | 73.33% | 0 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 75 | 52 | 72 | 23 | 39 | 18 | 58.3% | 12.3% | 88.8% | 101.1 | FUN |
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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 51 | 35 | 45 | 15 | 27 | 13 | 54.5% | 17.4% | 86.3% | 103.7 | FUN |
19 | Bruins | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 14 | 8 | 6 | 5 | 0.833 | 14 | 23 | 37 | 0 | 0 | 7 | 4 | 3 | 1 | 87 | 28 | 32 | 25 | 9 | 104 | 30 | 39 | 45 | 11 | 7 | 63.64% | 13 | 4 | 69.23% | 0 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 71 | 48 | 72 | 24 | 41 | 19 | 63.6% | 16.1% | 92.3% | 108.4 | LUCKY |
20 | Sabres | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 3 | 5 | 3 | 0 | 90 | 28 | 31 | 31 | 0 | 91 | 23 | 27 | 58 | 13 | 2 | 15.38% | 10 | 2 | 80.00% | 0 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 72 | 51 | 69 | 22 | 38 | 19 | 69.2% | 12.2% | 93.4% | 105.6 | LUCKY |
21 | Blackhawks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 2 | 2 | 5 | 0 | 69 | 21 | 30 | 18 | 0 | 81 | 28 | 18 | 50 | 5 | 2 | 40.00% | 8 | 1 | 87.50% | 0 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 44 | 31 | 50 | 14 | 24 | 10 | 50.0% | 13.0% | 90.1% | 103.2 | FUN |
22 | Panthers | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 4 | 6 | -2 | 2 | 0.333 | 4 | 5 | 9 | 0 | 0 | 2 | 0 | 1 | 1 | 82 | 24 | 17 | 40 | 5 | 121 | 24 | 14 | 53 | 11 | 1 | 9.09% | 6 | 0 | 100.00% | 0 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 70 | 48 | 73 | 24 | 40 | 19 | 33.3% | 4.9% | 95.0% | 99.9 | DULL |
23 | Blue Jackets | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 10 | 4 | 6 | 0.750 | 14 | 23 | 37 | 0 | 1 | 4 | 4 | 6 | 0 | 110 | 45 | 30 | 35 | 0 | 131 | 46 | 34 | 88 | 15 | 6 | 40.00% | 16 | 3 | 81.25% | 0 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 87 | 57 | 100 | 29 | 51 | 26 | 53.3% | 12.7% | 92.4% | 105.1 | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 48 | 34 | 48 | 14 | 23 | 11 | 50.0% | 9.3% | 90.5% | 99.7 | FUN |
27 | Maple Leafs | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 7 | 11 | 6 | 1.000 | 18 | 35 | 53 | 0 | 0 | 8 | 6 | 4 | 0 | 136 | 38 | 50 | 48 | 0 | 102 | 31 | 24 | 49 | 10 | 4 | 40.00% | 10 | 1 | 90.00% | 1 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 79 | 56 | 62 | 20 | 38 | 19 | 70.0% | 13.2% | 93.1% | 106.4 | LUCKY |
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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 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 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 49 | 35 | 45 | 14 | 24 | 12 | 50.0% | 12.7% | 91.3% | 104.0 | LUCKY |
_Vs Division | 25 | 9 | 11 | 0 | 1 | 1 | 1 | 2 | 88 | 88 | 0 | 25 | 0.500 | 88 | 158 | 246 | 0 | 1 | 31 | 23 | 32 | 2 | 850 | 275 | 264 | 299 | 22 | 762 | 212 | 219 | 529 | 94 | 26 | 27.66% | 85 | 24 | 71.76% | 1 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 625 | 435 | 568 | 181 | 326 | 166 | 49.2% | 10.4% | 88.5% | 98.8 | FUN | |
_Vs Conference | 49 | 21 | 17 | 0 | 3 | 1 | 3 | 4 | 178 | 146 | 32 | 59 | 0.602 | 178 | 319 | 497 | 0 | 2 | 63 | 55 | 54 | 7 | 1636 | 513 | 518 | 581 | 50 | 1502 | 415 | 433 | 981 | 191 | 52 | 27.23% | 172 | 44 | 74.42% | 2 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 1229 | 856 | 1110 | 359 | 642 | 324 | 55.3% | 10.9% | 90.3% | 101.2 | FUN | |
_Since Last GM Reset | 81 | 34 | 31 | 0 | 4 | 5 | 3 | 4 | 259 | 242 | 17 | 91 | 0.562 | 259 | 464 | 723 | 0 | 3 | 91 | 85 | 76 | 8 | 2549 | 814 | 854 | 851 | 56 | 2425 | 664 | 713 | 1586 | 291 | 72 | 24.74% | 292 | 66 | 77.40% | 3 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 2011 | 1401 | 1849 | 593 | 1050 | 527 | 51.5% | 10.2% | 90.0% | 100.2 | FUN | |
Total | 81 | 34 | 31 | 0 | 4 | 5 | 3 | 4 | 259 | 242 | 17 | 91 | 0.562 | 259 | 464 | 723 | 0 | 3 | 91 | 85 | 76 | 8 | 2549 | 814 | 854 | 851 | 56 | 2425 | 664 | 713 | 1586 | 291 | 72 | 24.74% | 292 | 66 | 77.40% | 3 | 1505 | 2846 | 52.88% | 1413 | 2730 | 51.76% | 686 | 1315 | 52.17% | 2011 | 1401 | 1849 | 593 | 1050 | 527 | 51.5% | 10.2% | 90.0% | 100.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2846 |
Neutral Zone Start | 1315 |
Defensive Zone Start | 2730 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3604 |
Faceoffs Lost | 3287 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 20.6 | 20.31 |
3rd Period | 31.1 | 30.68 |
Overtime | 31.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 184 |
---|---|
PP Goal | 72 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 23 | 18 |
Lost | 14 | 17 |
Overtime Lost | 3 | 6 |
PP Attempt | 291 |
---|---|
PP Goal | 72 |
PK Attempt | 292 |
PK Goal Against | 66 |
Home | |
---|---|
Shots For | 31.5 |
Shots Against | 29.9 |
Goals For | 3.2 |
Goals Against | 3.0 |
Hits | 19.6 |
Shots Blocked | 8.2 |
Pim | 8.8 |
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 | Maple Leafs1,Flyers7 | RECAP | |||||||||
2024-03-21 | Flyers | @ | Hurricanes | Flyers4,Hurricanes8 | RECAP | |||||||||
2024-03-23 | Bruins | @ | Flyers | Bruins4,Flyers6 | RECAP | |||||||||
2024-03-24 | Panthers | @ | Flyers | Panthers1,Flyers2 (SO) | RECAP | |||||||||
2024-03-26 | Flyers | @ | Rangers | Flyers8,Rangers2 | RECAP | |||||||||
2024-03-28 | Flyers | @ | Canadiens | Flyers4,Canadiens3 (OT) | RECAP | |||||||||
2024-03-30 | Blackhawks | @ | Flyers | Blackhawks5,Flyers4 | RECAP | |||||||||
2024-04-01 | Islanders | @ | Flyers | Islanders3,Flyers2 | RECAP | |||||||||
2024-04-05 | Flyers | @ | Sabres | Flyers5,Sabres1 | RECAP | |||||||||
2024-04-06 | Flyers | @ | Blue Jackets | Flyers4,Blue Jackets6 | RECAP | |||||||||
2024-04-09 | Flyers | @ | Canadiens | Flyers4,Canadiens5 | RECAP | |||||||||
2024-04-11 | Flyers | @ | Rangers | Flyers6,Rangers4 | RECAP | |||||||||
2024-04-13 | Devils | @ | Flyers | Devils5,Flyers3 | RECAP | |||||||||
2024-04-16 | Capitals | @ | Flyers |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,691,666$ | 0$ | 81,336,433$ | -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 | 226699 | 190065 | 75890 | 152839 | 37461 |
Attendance PCT | 94.46% | 95.03% | 94.86% | 95.52% | 93.65% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
1 | 17074 - 94.85% | 1,539,004$ | 61,560,142$ | 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 |
---|---|---|---|
80,488,745$ | 456,727$ | 79,509,525$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
1,539,004$ | 4 | 461,936$ | 1,847,744$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,979,876$ | 87,691,666$ | 82,005,820$ | 81,564,948$ |
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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