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Full Scoreboard »» |
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Full Scoreboard »» |
Tampa Bay Lightning 18-9-1, 37pts · 2nd 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/RW | 100.00 | 67 | 36 | 82 | 93 | 77 | 92 | 86 | 90 | 83 | 93 | 89 | 68 | 90 | 73 | 83 | 0 | 60 | 96 | 28 | 12,600,000$/8yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 33 | 82 | 85 | 77 | 87 | 86 | 83 | 59 | 86 | 84 | 76 | 83 | 73 | 72 | 0 | 48 | 91 | 28 | 7,250,000$/7yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 66 | 32 | 70 | 83 | 73 | 82 | 90 | 77 | 85 | 75 | 82 | 81 | 79 | 81 | 78 | 0 | 60 | 88 | 32 | 3,150,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 70 | 33 | 88 | 82 | 82 | 87 | 90 | 79 | 85 | 78 | 83 | 79 | 81 | 70 | 69 | 0 | 60 | 88 | 26 | 5,000,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 33 | 91 | 76 | 84 | 83 | 85 | 78 | 58 | 82 | 77 | 63 | 77 | 73 | 72 | 0 | 48 | 86 | 28 | 5,750,000$/5yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 67 | 32 | 82 | 73 | 71 | 84 | 90 | 75 | 58 | 83 | 70 | 61 | 73 | 76 | 74 | 0 | 60 | 83 | 30 | 3,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 63 | 33 | 95 | 77 | 77 | 82 | 90 | 71 | 60 | 74 | 71 | 75 | 71 | 71 | 71 | 0 | 60 | 83 | 27 | 3,500,000$/1yrs | |||
![]() | 0 | C/LW | 99.00 | 76 | 47 | 72 | 71 | 86 | 76 | 90 | 71 | 63 | 65 | 77 | 69 | 74 | 68 | 65 | 0 | 60 | 80 | 25 | 1,500,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 81 | 33 | 95 | 55 | 78 | 75 | 90 | 61 | 82 | 61 | 61 | 95 | 61 | 79 | 79 | 0 | 38 | 79 | 32 | 1,600,000$/1yrs | |||
![]() | 9 | C/LW | 100.00 | 69 | 37 | 80 | 62 | 83 | 77 | 87 | 64 | 83 | 69 | 63 | 79 | 63 | 77 | 75 | 0 | 60 | 78 | 31 | 900,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 65 | 37 | 89 | 67 | 81 | 75 | 87 | 68 | 81 | 72 | 67 | 66 | 67 | 67 | 66 | 0 | 60 | 78 | 25 | 1,300,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 83 | 52 | 73 | 60 | 94 | 75 | 90 | 64 | 60 | 67 | 66 | 62 | 65 | 84 | 82 | 0 | 55 | 76 | 35 | 1,300,000$/1yrs | |||
![]() | 0 | D | 98.00 | 62 | 34 | 68 | 99 | 94 | 91 | 90 | 72 | 30 | 83 | 81 | 72 | 76 | 77 | 82 | 0 | 60 | 93 | 30 | 7,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 34 | 81 | 65 | 90 | 89 | 90 | 72 | 30 | 71 | 62 | 90 | 67 | 71 | 77 | 0 | 60 | 85 | 27 | 4,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 87 | 74 | 50 | 68 | 89 | 86 | 90 | 69 | 30 | 68 | 76 | 87 | 72 | 81 | 76 | 0 | 51 | 85 | 33 | 3,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 87 | 46 | 50 | 66 | 80 | 86 | 90 | 68 | 30 | 68 | 72 | 92 | 70 | 82 | 77 | 0 | 44 | 85 | 33 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 37 | 73 | 65 | 87 | 87 | 89 | 69 | 30 | 69 | 60 | 89 | 64 | 84 | 81 | 0 | 54 | 84 | 34 | 2,900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 95 | 48 | 66 | 60 | 80 | 83 | 86 | 66 | 30 | 66 | 61 | 82 | 63 | 69 | 66 | 0 | 63 | 81 | 26 | 2,000,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 87 | 38 | 75 | 68 | 93 | 77 | 86 | 69 | 56 | 69 | 72 | 64 | 71 | 71 | 69 | 0 | 20 | 79 | 28 | ||||
TEAM AVERAGE | 99.84 | 73 | 39 | 77 | 72 | 83 | 83 | 89 | 72 | 58 | 74 | 72 | 76 | 72 | 75 | 74 | 0 | 54 | 84 |
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 | 99.00 | 88 | 87 | 77 | 79 | 92 | 85 | 92 | 93 | 90 | 93 | 92 | 68 | 72 | 0 | 54 | 90 | 25 | 2,500,000$/2yrs |
![]() | 0 | 99.00 | 83 | 89 | 78 | 80 | 83 | 62 | 85 | 94 | 69 | 97 | 85 | 71 | 75 | 0 | 55 | 85 | 27 | 1,200,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 76 | 76 | 73 | 86 | 73 | 77 | 78 | 76 | 77 | 75 | 77 | 67 | 70 | 0 | 64 | 80 | 25 | 825,000$/1yrs |
TEAM AVERAGE | 99.33 | 82 | 84 | 76 | 82 | 83 | 75 | 85 | 88 | 79 | 88 | 85 | 69 | 72 | 0 | 58 | 85 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dean Evason | 76 | 78 | 92 | 68 | 78 | 74 | 78 | CAN | 57 | 5 | 1,000,000$ |
General Manager | Interim |
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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 | Nathan MacKinnon | 0 | C/RW | 28 | 15 | 21 | 36 | 3 | 16 | 0 | 42 | 133 | 32 | 85 | 11.28% | 2 | 18.86 | 5 | 6 | 11 | 69 | 0 | 0 | 0 | 0 | 2 | 1 | 52.72% | 662 | 0 | 0 | 0 | 0 | 1.36 | 1 | 2 | |
2 | Dougie Hamilton | 0 | D | 28 | 5 | 18 | 23 | 0 | 16 | 0 | 31 | 43 | 20 | 30 | 11.63% | 22 | 22.17 | 3 | 4 | 7 | 64 | 0 | 0 | 0 | 11 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | |
3 | Pavel Buchnevich | 0 | LW/RW | 28 | 13 | 10 | 23 | 2 | 8 | 0 | 30 | 104 | 38 | 71 | 12.50% | 5 | 19.61 | 4 | 3 | 7 | 65 | 1 | 0 | 1 | 31 | 3 | 1 | 38.46% | 52 | 0 | 0 | 0 | 0 | 0.84 | 1 | 4 | |
4 | Pavel Zacha | 0 | C/LW | 28 | 10 | 11 | 21 | 6 | 6 | 0 | 26 | 87 | 14 | 52 | 11.49% | 2 | 18.80 | 1 | 6 | 7 | 67 | 0 | 0 | 0 | 10 | 1 | 0 | 50.00% | 266 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | |
5 | Kasperi Kapanen | 0 | RW | 28 | 8 | 11 | 19 | 1 | 10 | 0 | 14 | 67 | 16 | 43 | 11.94% | 0 | 14.14 | 0 | 3 | 3 | 59 | 0 | 0 | 0 | 0 | 1 | 0 | 41.38% | 29 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 | |
6 | Evan Rodrigues | 0 | C/LW/RW | 28 | 7 | 11 | 18 | 3 | 12 | 0 | 43 | 53 | 15 | 49 | 13.21% | 6 | 17.83 | 1 | 5 | 6 | 61 | 0 | 0 | 0 | 1 | 0 | 2 | 46.88% | 64 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | |
7 | Erik Haula | 0 | C/LW/RW | 28 | 7 | 10 | 17 | 3 | 16 | 0 | 44 | 94 | 22 | 66 | 7.45% | 4 | 16.08 | 0 | 1 | 1 | 59 | 0 | 0 | 0 | 4 | 1 | 0 | 47.50% | 400 | 0 | 0 | 0 | 0 | 0.76 | 0 | 1 | |
8 | Brenden Dillon | 0 | D | 28 | 1 | 15 | 16 | 13 | 36 | 0 | 73 | 20 | 11 | 11 | 5.00% | 36 | 20.43 | 0 | 2 | 2 | 25 | 0 | 1 | 1 | 87 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
9 | Andre Burakovsky | 0 | LW/RW | 27 | 4 | 11 | 15 | 3 | 0 | 0 | 19 | 80 | 15 | 49 | 5.00% | 5 | 18.75 | 0 | 4 | 4 | 58 | 0 | 0 | 0 | 13 | 2 | 0 | 48.15% | 27 | 0 | 0 | 0 | 0 | 0.59 | 2 | 2 | |
10 | Brandon Carlo | 0 | D | 28 | 2 | 12 | 14 | 17 | 16 | 0 | 37 | 16 | 7 | 13 | 12.50% | 51 | 21.97 | 0 | 0 | 0 | 13 | 0 | 1 | 1 | 106 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
11 | Radko Gudas | 0 | D | 28 | 1 | 10 | 11 | -5 | 32 | 0 | 78 | 14 | 7 | 20 | 7.14% | 29 | 18.63 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 79 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
12 | Jeremy Lauzon | 0 | D | 28 | 2 | 6 | 8 | 1 | 35 | 5 | 53 | 27 | 4 | 18 | 7.41% | 26 | 15.25 | 2 | 1 | 3 | 48 | 0 | 0 | 0 | 49 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
13 | Tomas Nosek | 9 | C/LW | 28 | 3 | 5 | 8 | 4 | 4 | 0 | 3 | 21 | 6 | 11 | 14.29% | 5 | 10.37 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 130 | 1 | 0 | 48.58% | 457 | 0 | 0 | 0 | 0 | 0.55 | 0 | 1 | |
14 | Morgan Geekie | 0 | C/RW | 28 | 4 | 4 | 8 | 0 | 0 | 0 | 6 | 26 | 10 | 18 | 15.38% | 3 | 9.94 | 1 | 1 | 2 | 50 | 0 | 0 | 0 | 38 | 1 | 0 | 58.62% | 29 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
15 | Noel Acciari | 0 | C/RW | 28 | 3 | 4 | 7 | 3 | 12 | 0 | 30 | 35 | 9 | 25 | 8.57% | 1 | 12.19 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 66 | 0 | 0 | 48.99% | 398 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
16 | Trent Frederic | 0 | C/LW | 27 | 2 | 2 | 4 | 0 | 24 | 0 | 52 | 27 | 4 | 18 | 7.41% | 2 | 15.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 69 | 0 | 0 | 45.90% | 122 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
17 | Ian Cole | 0 | D | 28 | 0 | 3 | 3 | -7 | 16 | 0 | 55 | 12 | 10 | 9 | 0.00% | 42 | 18.75 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 61 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
18 | Milan Lucic | 0 | LW | 21 | 1 | 1 | 2 | 2 | 10 | 0 | 21 | 7 | 2 | 5 | 14.29% | 0 | 5.74 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 4 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
Team Total or Average | 495 | 88 | 165 | 253 | 49 | 269 | 5 | 657 | 866 | 242 | 593 | 10.16% | 241 | 16.53 | 17 | 36 | 53 | 659 | 1 | 2 | 3 | 762 | 15 | 4 | 49.44% | 2510 | 0 | 0 | 0 | 0 | 0.62 | 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 | Jeremy Swayman | 17 | 9 | 6 | 1 | 0.914 | 2.98 | 966 | 4 | 1 | 48 | 556 | 0 | 0 | 0 | 0.333 | 3 | 16 | 8 | 4 | 0 | 2 | |
2 | Brandon Bussi | 4 | 4 | 0 | 0 | 0.946 | 1.44 | 250 | 0 | 2 | 6 | 111 | 0 | 0 | 0 | 0.667 | 6 | 4 | 2 | 1 | 1 | 0 | |
3 | Joey Daccord | 2 | 2 | 0 | 0 | 0.875 | 3.00 | 120 | 2 | 0 | 6 | 48 | 0 | 0 | 0 | 0.000 | 0 | 2 | 7 | 0 | 0 | 0 | |
Team Total or Average | 23 | 15 | 6 | 1 | 0.916 | 2.70 | 1336 | 6 | 3 | 60 | 715 | 0 | 0 | 0 | 0.556 | 9 | 22 | 17 | 5 | 1 | 2 |
Projected Total Cap Hit | 75,876,299$ |
Projected Cap Space | 7,623,701$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 24,124,775$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Lightning Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andre Burakovsky | LW/RW | 28 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||
Brandon Bussi ![]() | G | 25 | 825,000$ | 825,000$ | |||||||
Brandon Carlo | D | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Brenden Dillon | D | 33 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Dougie Hamilton | D | 30 | 7,500,000$ | 7,500,000$ | UFA | ||||||
Erik Haula | C/LW/RW | 32 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | ||||
Evan Rodrigues | C/LW/RW | 30 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Ian Cole | D | 34 | 2,900,000$ | 2,900,000$ | UFA | ||||||
Jeremy Lauzon | D | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Jeremy Swayman | G | 25 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Joey Daccord ![]() | G | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Kasperi Kapanen | RW | 27 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Milan Lucic | LW | 35 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Morgan Geekie | C/RW | 25 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
Nathan MacKinnon | C/RW | 28 | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ |
Nick Ritchie ![]() | LW | 28 | 0$ | UFA | |||||||
Noel Acciari | C/RW | 32 | 1,600,000$ | 1,600,000$ | UFA | ||||||
Pavel Buchnevich | LW/RW | 28 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA |
Pavel Zacha | C/LW | 26 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Radko Gudas | D | 33 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Tomas Nosek ![]() | C/LW | 31 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Trent Frederic | C/LW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Ben Gleason ![]() | D | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Brett Harrison ![]() | C | 20 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Caleb Jones ![]() | D | 26 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Carson Bjarnason ![]() | G | 18 | 913,333$ | 913,333$ | 913,333$ | 913,333$ | RFA | ||||
Carson Meyer ![]() | RW | 26 | 0$ | ![]() | |||||||
Curtis Lazar ![]() | C/RW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Declan McDonnell ![]() | RW | 21 | 775,000$ | 775,000$ | RFA | ||||||
Drew O'Connor ![]() | LW | 25 | 0$ | ![]() | |||||||
Eemil Viro ![]() | D | 21 | 850,833$ | 850,833$ | RFA | ||||||
Felix Robert ![]() | C | 24 | 857,500$ | 857,500$ | ![]() | ||||||
Gavin Hayes ![]() | LW | 19 | 896,667$ | 896,667$ | 896,667$ | 896,667$ | RFA | ||||
Jack Ahcan ![]() | D | 26 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Jimmy Huntington ![]() | C | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Joel Hofer ![]() | G | 23 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Jordan Gross ![]() | D | 28 | 950,000$ | 950,000$ | UFA | ||||||
Josh Filmon ![]() | LW | 19 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Marc McLaughlin ![]() | C | 24 | 883,750$ | 883,750$ | ![]() | ||||||
Matt Luff ![]() | RW | 26 | 850,000$ | 850,000$ | UFA | ||||||
Max Ellis ![]() | RW | 23 | 838,750$ | 838,750$ | ![]() | ||||||
Patrick Guay ![]() | C/LW | 21 | 775,000$ | 775,000$ | RFA | ||||||
Pavel Francouz ![]() | G | 33 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Philip Kemp ![]() | D | 24 | 0$ | ![]() | |||||||
Riley Damiani ![]() | C | 23 | 803,333$ | 803,333$ | ![]() | ||||||
Roby Jarventie ![]() | LW | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Samuel Walker ![]() | C/RW | 24 | 950,000$ | 950,000$ | ![]() | ||||||
Santtu Kinnunen ![]() | D | 24 | 855,000$ | 855,000$ | ![]() | ||||||
Topias Vilen ![]() | D | 20 | 836,667$ | 836,667$ | 836,667$ | 836,667$ | RFA | ||||
Valtteri Pulli ![]() | D | 22 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Will Zmolek ![]() | D | 24 | 920,000$ | 920,000$ | ![]() |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 1 | 3 | 3 | 0 | 78 | 29 | 27 | 22 | 0 | 77 | 18 | 22 | 40 | 7 | 1 | 14.29% | 10 | 2 | 80.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 46 | 31 | 48 | 14 | 25 | 12 | 46.2% | 9.0% | 88.3% | 97.3 | FUN | |
2 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 10 | 14 | -4 | 2 | 0.333 | 10 | 17 | 27 | 0 | 0 | 5 | 3 | 1 | 2 | 104 | 33 | 33 | 36 | 5 | 94 | 25 | 25 | 63 | 9 | 1 | 11.11% | 10 | 1 | 90.00% | 1 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 75 | 54 | 71 | 20 | 37 | 19 | 40.9% | 9.6% | 85.1% | 94.7 | FUN | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 0 | 2 | 0 | 40 | 8 | 14 | 18 | 0 | 45 | 7 | 14 | 23 | 3 | 1 | 33.33% | 7 | 0 | 100.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 22 | 14 | 23 | 7 | 14 | 6 | 57.1% | 12.5% | 93.3% | 105.8 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 28 | 10 | 8 | 10 | 0 | 37 | 4 | 16 | 17 | 1 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 21 | 13 | 25 | 8 | 12 | 5 | 40.0% | 7.1% | 91.9% | 99.0 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 30 | 4 | 15 | 11 | 0 | 15 | 3 | 10 | 18 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 26 | 20 | 21 | 7 | 11 | 5 | 100.0% | 10.0% | 93.3% | 103.3 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 21 | 7 | 11 | 3 | 0 | 29 | 11 | 8 | 20 | 1 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 25 | 18 | 22 | 6 | 12 | 5 | 57.1% | 19.0% | 82.8% | 101.8 | FUN | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 4 | 1 | 1 | 0 | 60 | 26 | 17 | 17 | 0 | 57 | 16 | 18 | 52 | 9 | 2 | 22.22% | 9 | 3 | 66.67% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 47 | 31 | 47 | 14 | 25 | 13 | 57.1% | 10.0% | 89.5% | 99.5 | FUN | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 39 | 14 | 14 | 11 | 0 | 32 | 8 | 6 | 21 | 3 | 2 | 66.67% | 3 | 1 | 66.67% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 23 | 16 | 24 | 7 | 12 | 5 | 75.0% | 12.8% | 93.8% | 106.6 | LUCKY | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 34 | 9 | 16 | 9 | 0 | 38 | 13 | 8 | 25 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 20 | 13 | 28 | 6 | 11 | 5 | 45.5% | 14.7% | 84.2% | 98.9 | FUN | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 31 | 11 | 11 | 9 | 0 | 27 | 6 | 4 | 21 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 24 | 17 | 22 | 7 | 12 | 6 | 25.0% | 3.2% | 88.9% | 92.1 | Unlucky | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 28 | 10 | 7 | 11 | 0 | 25 | 7 | 2 | 5 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 26 | 19 | 21 | 6 | 11 | 6 | 75.0% | 10.7% | 96.0% | 106.7 | LUCKY | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 1 | 1 | 0 | 23 | 9 | 7 | 7 | 0 | 30 | 6 | 6 | 31 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 20 | 13 | 27 | 7 | 11 | 5 | 100.0% | 8.7% | 100.0% | 108.7 | DULL | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 1 | 3 | 3 | 0 | 52 | 10 | 19 | 23 | 0 | 58 | 11 | 16 | 47 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 43 | 28 | 49 | 15 | 26 | 12 | 66.7% | 13.5% | 94.8% | 108.3 | LUCKY | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 34 | 10 | 13 | 11 | 0 | 40 | 10 | 10 | 21 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 22 | 15 | 25 | 6 | 12 | 6 | 80.0% | 11.8% | 92.5% | 104.3 | LUCKY | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 29 | 9 | 13 | 7 | 0 | 36 | 8 | 16 | 15 | 1 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 24 | 17 | 24 | 7 | 10 | 5 | 66.7% | 6.9% | 97.2% | 104.1 | DULL | |
16 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 1 | 2 | 1 | 2 | 67 | 20 | 16 | 30 | 4 | 56 | 13 | 20 | 49 | 9 | 2 | 22.22% | 10 | 1 | 90.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 50 | 34 | 47 | 16 | 26 | 13 | 60.0% | 7.5% | 94.6% | 102.1 | DULL | |
17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 3 | 2 | 0 | 49 | 11 | 21 | 17 | 0 | 71 | 26 | 22 | 55 | 6 | 1 | 16.67% | 11 | 4 | 63.64% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 44 | 29 | 51 | 14 | 24 | 12 | 85.7% | 14.3% | 93.0% | 107.2 | LUCKY | |
18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 0 | 2 | 2 | 0 | 41 | 12 | 18 | 11 | 0 | 55 | 17 | 24 | 52 | 3 | 2 | 66.67% | 12 | 1 | 91.67% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 41 | 25 | 53 | 14 | 25 | 12 | 66.7% | 9.8% | 96.4% | 106.1 | LUCKY | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0.500 | 5 | 9 | 14 | 0 | 0 | 4 | 1 | 0 | 1 | 42 | 12 | 18 | 9 | 6 | 44 | 16 | 4 | 25 | 4 | 2 | 50.00% | 2 | 1 | 50.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 26 | 18 | 24 | 7 | 14 | 7 | 37.5% | 11.9% | 86.4% | 98.3 | FUN | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 25 | 10 | 7 | 8 | 0 | 21 | 13 | 8 | 20 | 4 | 2 | 50.00% | 4 | 2 | 50.00% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 22 | 14 | 25 | 7 | 12 | 5 | 40.0% | 16.0% | 76.2% | 92.2 | FUN | |
_Vs Division | 8 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 24 | 19 | 5 | 12 | 0.750 | 24 | 46 | 70 | 0 | 1 | 5 | 9 | 10 | 0 | 236 | 73 | 85 | 78 | 0 | 255 | 64 | 78 | 166 | 21 | 2 | 9.52% | 36 | 7 | 80.56% | 0 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 185 | 128 | 197 | 59 | 97 | 47 | 64.7% | 10.2% | 92.5% | 102.7 | LUCKY | |
_Vs Conference | 14 | 9 | 4 | 0 | 0 | 0 | 1 | 0 | 42 | 38 | 4 | 20 | 0.714 | 42 | 78 | 120 | 0 | 2 | 11 | 15 | 15 | 2 | 415 | 128 | 149 | 136 | 5 | 444 | 116 | 137 | 302 | 36 | 5 | 13.89% | 63 | 11 | 82.54% | 1 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 324 | 224 | 347 | 101 | 173 | 84 | 57.8% | 10.1% | 91.4% | 101.6 | LUCKY | |
_Since Last GM Reset | 28 | 16 | 9 | 0 | 0 | 0 | 2 | 1 | 91 | 81 | 10 | 37 | 0.661 | 91 | 167 | 258 | 0 | 3 | 29 | 29 | 31 | 5 | 855 | 264 | 305 | 280 | 15 | 887 | 238 | 259 | 620 | 79 | 17 | 21.52% | 121 | 21 | 82.64% | 1 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 655 | 450 | 686 | 203 | 353 | 173 | 55.2% | 10.6% | 90.9% | 101.5 | FUN | |
Total | 28 | 16 | 9 | 0 | 0 | 0 | 2 | 1 | 91 | 81 | 10 | 37 | 0.661 | 91 | 167 | 258 | 0 | 3 | 29 | 29 | 31 | 5 | 855 | 264 | 305 | 280 | 15 | 887 | 238 | 259 | 620 | 79 | 17 | 21.52% | 121 | 21 | 82.64% | 1 | 488 | 968 | 50.41% | 501 | 1023 | 48.97% | 221 | 432 | 51.16% | 655 | 450 | 686 | 203 | 353 | 173 | 55.2% | 10.6% | 90.9% | 101.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 968 |
Neutral Zone Start | 432 |
Defensive Zone Start | 1023 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1210 |
Faceoffs Lost | 1213 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.4 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 30.3 | 30.68 |
Overtime | 30.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 73 |
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PP Goal | 17 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 8 | 10 |
Lost | 5 | 4 |
Overtime Lost | 1 | 0 |
PP Attempt | 79 |
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PP Goal | 17 |
PK Attempt | 121 |
PK Goal Against | 21 |
Home | |
---|---|
Shots For | 30.5 |
Shots Against | 31.7 |
Goals For | 3.3 |
Goals Against | 2.9 |
Hits | 22.1 |
Shots Blocked | 8.5 |
Pim | 9.3 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-10 | @ | Predators2,Lightning1 | RECAP | |||||||||||
2023-10-14 | @ | Lightning2,Red Wings3 | RECAP | |||||||||||
2023-10-15 | @ | Lightning4,Senators3 | RECAP | |||||||||||
2023-10-17 | @ | Lightning2,Sabres0 | RECAP | |||||||||||
2023-10-19 | @ | Canucks5,Lightning4 | RECAP | |||||||||||
2023-10-21 | @ | Maple Leafs2,Lightning3 | RECAP | |||||||||||
2023-10-24 | @ | Hurricanes6,Lightning3 | RECAP | |||||||||||
2023-10-26 | @ | Sharks6,Lightning5 (SO) | RECAP | |||||||||||
2023-10-30 | @ | Kraken5,Lightning4 | RECAP | |||||||||||
2023-11-02 | @ | Lightning4,Blue Jackets3 | RECAP | |||||||||||
2023-11-04 | @ | Lightning3,Senators6 | RECAP | |||||||||||
2023-11-06 | @ | Lightning4,Maple Leafs3 | RECAP | |||||||||||
2023-11-07 | @ | Lightning3,Canadiens1 | RECAP | |||||||||||
2023-11-09 | @ | Blackhawks1,Lightning3 | RECAP | |||||||||||
2023-11-11 | @ | Hurricanes4,Lightning2 | RECAP | |||||||||||
2023-11-14 | @ | Lightning5,Blues6 | RECAP | |||||||||||
2023-11-16 | @ | Lightning4,Blackhawks2 | RECAP | |||||||||||
2023-11-18 | @ | Oilers2,Lightning5 | RECAP | |||||||||||
2023-11-20 | @ | Bruins1,Lightning3 | RECAP | |||||||||||
2023-11-22 | @ | Jets1,Lightning2 | RECAP | |||||||||||
2023-11-24 | @ | Lightning5,Hurricanes4 (SO) | RECAP | |||||||||||
2023-11-27 | @ | Lightning5,Avalanche3 | RECAP | |||||||||||
2023-11-28 | @ | Lightning1,Coyotes3 | RECAP | |||||||||||
2023-11-30 | @ | Penguins0,Lightning1 | RECAP | |||||||||||
2023-12-02 | @ | Lightning1,Stars0 (SO) | RECAP | |||||||||||
2023-12-04 | @ | Stars3,Lightning4 | RECAP | |||||||||||
2023-12-06 | @ | Penguins2,Lightning3 | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
77,775,000$ | 0$ | 75,876,299$ | 5,725,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Amalie Arena | |
City | Tampa Bay | ||
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 | 78044 | 66863 | 26276 | 53722 | 13264 |
Attendance PCT | 92.91% | 95.52% | 93.84% | 95.93% | 94.74% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
27 | 17012 - 94.51% | 1,493,901$ | 20,914,613$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
77,775,000$ | 77,775,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
24,916,435$ | 392,057$ | 24,124,775$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
40,335,325$ | 132 | 410,286$ | 54,157,752$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
55,951,092$ | 77,775,000$ | 59,135,302$ | 43,519,535$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 | ||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alex Campbell | 2019 | 58 | 7.0 - 7.0 | ||
Cameron MacDonald | 2021 | 160 | |||
Conner Roulette | 2021 | 50 | |||
Dmitri Kostenko | 2021 | 96 | |||
Emil Jarventie | 2023 | 173 | |||
Ethan Phillips | 2019 | 93 | |||
Hugo Havelid | 2022 | 181 | |||
Ilya Fedotov | 2021 | 74 | |||
Jacob Cederholm | |||||
Jeremy Michel | 2019 | 186 | |||
Jesse Kiiskinen | 2023 | 70 | |||
Jesse Nurmi | 2023 | 114 | |||
Julius Nattinen | 2015 | 59 | 5.5 - 2.5 | ||
Konnor Smith | 2023 | 116 | |||
Logan Cockerill | 5.5 - 4.5 | ||||
Michael Fisher | 2022 | 85 | |||
Noah Beck | |||||
Patrick Moynihan | 2019 | 155 | 4.0 - 5.0 | ||
Petteri Nurmi | 2022 | 213 | |||
Reid Dyck | 2022 | 135 | |||
Rhett Pitlick | 2019 | 124 | |||
Robert Flinton | 2021 | 224 | |||
Roman Kantserov | 2023 | 66 | |||
Servac Petrovsky | 2022 | 130 | |||
Simon Bourque | 4.0 - 4.5 | ||||
Slava Demin | 6.0 - 7.0 | ||||
Theo Jacobsson | 2021 | 192 | |||
Thimo Nickl | 2020 | 122 | |||
Vladislav Lukashevich | 2021 | 123 | |||
Yegor Naumov | 2021 | 200 | |||
Zakary Karpa | 2022 | 149 | |||
Zam Plante | 2022 | 128 |
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