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Full Scoreboard »» |
Tampa Bay Lightning 11-10-2, 24pts · 6th in Conference Est |
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 | 98.00 | 76 | 44 | 89 | 87 | 74 | 74 | 96 | 77 | 92 | 79 | 79 | 69 | 84 | 81 | 82 | 79 | 50 | 0 | 30 | 9,850,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 66 | 71 | 67 | 66 | 79 | 83 | 67 | 80 | 62 | 66 | 66 | 63 | 59 | 59 | 67 | 50 | 0 | 31 | 775,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 42 | 95 | 78 | 62 | 57 | 74 | 66 | 36 | 61 | 72 | 66 | 25 | 65 | 65 | 70 | 50 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 41 | 95 | 76 | 65 | 73 | 96 | 65 | 84 | 68 | 74 | 80 | 80 | 66 | 67 | 75 | 50 | 0 | 29 | 1,200,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 65 | 42 | 95 | 82 | 69 | 74 | 96 | 74 | 79 | 80 | 66 | 73 | 25 | 69 | 69 | 73 | 50 | 0 | 25 | 4,000,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 59 | 40 | 89 | 87 | 65 | 83 | 80 | 85 | 43 | 85 | 85 | 74 | 59 | 67 | 67 | 82 | 50 | 0 | 26 | 5,850,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 43 | 90 | 65 | 80 | 57 | 71 | 62 | 44 | 62 | 58 | 67 | 25 | 45 | 45 | 63 | 53 | 0 | 23 | 925,000$/2yrs | |||
![]() | 0 | C | 100.00 | 67 | 43 | 88 | 84 | 75 | 74 | 62 | 80 | 88 | 78 | 71 | 63 | 65 | 86 | 93 | 73 | 50 | 0 | 34 | 9,200,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 90 | 55 | 82 | 76 | 69 | 72 | 77 | 72 | 32 | 72 | 85 | 60 | 41 | 74 | 77 | 78 | 50 | 0 | 30 | 5,500,000$/1yrs | |||
![]() | 0 | LW | 98.00 | 82 | 45 | 87 | 88 | 75 | 77 | 77 | 85 | 25 | 81 | 87 | 64 | 56 | 75 | 78 | 82 | 50 | 0 | 28 | 8,500,000$/8yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 43 | 90 | 74 | 81 | 65 | 94 | 69 | 51 | 63 | 73 | 70 | 25 | 64 | 65 | 71 | 50 | 0 | 26 | 2,250,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 42 | 93 | 76 | 70 | 77 | 87 | 75 | 49 | 68 | 64 | 73 | 63 | 62 | 62 | 70 | 50 | 0 | 22 | 842,500$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 91 | 85 | 74 | 83 | 94 | 63 | 25 | 61 | 48 | 86 | 63 | 81 | 88 | 66 | 50 | 0 | 31 | 4,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 69 | 72 | 71 | 84 | 67 | 85 | 84 | 86 | 25 | 70 | 60 | 75 | 75 | 68 | 69 | 71 | 50 | 0 | 26 | 5,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 42 | 93 | 87 | 59 | 84 | 89 | 69 | 25 | 63 | 56 | 91 | 25 | 81 | 84 | 71 | 50 | 0 | 32 | 7,575,000$/5yrs | |||
![]() | 0 | D | 100.00 | 81 | 44 | 81 | 80 | 70 | 79 | 92 | 59 | 25 | 62 | 49 | 87 | 25 | 71 | 72 | 66 | 50 | 0 | 29 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 53 | 89 | 81 | 72 | 79 | 82 | 77 | 25 | 72 | 50 | 65 | 75 | 69 | 71 | 65 | 50 | 0 | 30 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 86 | 80 | 80 | 77 | 80 | 48 | 50 | 53 | 59 | 51 | 45 | 78 | 37 | 76 | 80 | 52 | 50 | 0 | 33 | 5,625,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 73 | 97 | 79 | 80 | 79 | 66 | 60 | 57 | 25 | 47 | 47 | 88 | 25 | 69 | 69 | 62 | 50 | 0 | 29 | 850,000$/1yrs | |||
TEAM AVERAGE | 99.79 | 72 | 51 | 87 | 80 | 71 | 73 | 81 | 71 | 48 | 68 | 65 | 73 | 49 | 70 | 72 | 70 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 63 | 72 | 70 | 77 | 65 | 60 | 75 | 63 | 65 | 63 | 70 | 61 | 62 | 66 | 50 | 0 | 30 | 5,000,000$/5yrs |
![]() | 0 | 97.00 | 69 | 54 | 53 | 75 | 77 | 62 | 69 | 69 | 77 | 69 | 75 | 47 | 47 | 68 | 50 | 0 | 29 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 66 | 63 | 62 | 76 | 71 | 61 | 72 | 66 | 71 | 66 | 73 | 54 | 55 | 67 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 67 | 42 | 92 | 74 | 70 | 59 | 54 | 62 | 25 | 59 | 59 | 60 | 25 | 48 | 48 | 61 | 57 | 0 | 22 | 875,000$/1yrs | |||
![]() | 0 | C | 100.00 | 62 | 65 | 56 | 74 | 65 | 64 | 65 | 63 | 79 | 63 | 59 | 58 | 56 | 45 | 45 | 61 | 57 | 0 | 22 | 795,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 63 | 82 | 80 | 63 | 77 | 82 | 57 | 25 | 58 | 41 | 60 | 39 | 46 | 47 | 58 | 57 | 0 | 21 | 820,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 77 | 83 | 75 | 72 | 69 | 79 | 57 | 25 | 44 | 47 | 72 | 25 | 46 | 46 | 60 | 57 | 0 | 22 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 66 | 76 | 61 | 66 | 60 | 64 | 47 | 25 | 36 | 41 | 59 | 39 | 51 | 51 | 50 | 57 | 0 | 24 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 76 | 74 | 64 | 76 | 59 | 61 | 52 | 25 | 49 | 41 | 62 | 39 | 44 | 44 | 54 | 57 | 0 | 22 | 925,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 61 | 40 | 91 | 72 | 62 | 57 | 78 | 61 | 25 | 50 | 50 | 66 | 25 | 66 | 66 | 59 | 23 | 0 | 34 | 762,500$/2yrs |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Mathieu Baril |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Filip Forsberg | 0 | LW | 23 | 13 | 14 | 27 | 4 | 14 | 0 | 37 | 91 | 28 | 61 | 14.29% | 12 | 21.87 | 1 | 6 | 7 | 52 | 1 | 2 | 3 | 57 | 2 | 1 | 38.24% | 34 | 33 | 13 | 0 | 1 | 1.07 | 1 | 3 | ||
2 | Nick Schmaltz | 0 | C/RW | 23 | 7 | 17 | 24 | 1 | 19 | 5 | 33 | 93 | 35 | 55 | 7.53% | 9 | 20.45 | 5 | 4 | 9 | 51 | 0 | 0 | 0 | 22 | 1 | 0 | 30.56% | 36 | 28 | 11 | 0 | 0 | 1.02 | 1 | 3 | ||
3 | Tyler Seguin | 0 | C/RW | 23 | 8 | 11 | 19 | 3 | 19 | 5 | 36 | 59 | 8 | 34 | 13.56% | 10 | 22.03 | 0 | 3 | 3 | 51 | 1 | 1 | 2 | 53 | 2 | 0 | 56.22% | 731 | 6 | 6 | 0 | 0 | 0.75 | 0 | 3 | ||
4 | Nicklas Backstrom | 0 | C | 23 | 7 | 4 | 11 | 1 | 6 | 0 | 32 | 74 | 22 | 48 | 9.46% | 10 | 16.90 | 2 | 1 | 3 | 39 | 0 | 0 | 0 | 24 | 1 | 0 | 55.04% | 258 | 4 | 4 | 0 | 0 | 0.57 | 0 | 1 | ||
5 | Jack Roslovic | 0 | C/RW | 23 | 4 | 6 | 10 | 1 | 5 | 5 | 23 | 59 | 21 | 46 | 6.78% | 13 | 15.66 | 2 | 1 | 3 | 39 | 0 | 0 | 0 | 0 | 0 | 0 | 38.46% | 13 | 14 | 8 | 0 | 0 | 0.56 | 0 | 1 | ||
6 | Jared Spurgeon | 0 | D | 23 | 1 | 8 | 9 | 1 | 2 | 0 | 26 | 40 | 17 | 21 | 2.50% | 31 | 27.01 | 1 | 2 | 3 | 52 | 0 | 1 | 1 | 64 | 0 | 0 | 0.00% | 0 | 14 | 20 | 0 | 0 | 0.29 | 0 | 0 | ||
7 | Nick Leddy | 0 | D | 23 | 1 | 7 | 8 | 2 | 2 | 0 | 42 | 30 | 17 | 9 | 3.33% | 34 | 27.32 | 1 | 2 | 3 | 52 | 0 | 0 | 0 | 65 | 1 | 0 | 0.00% | 0 | 5 | 16 | 0 | 0 | 0.25 | 0 | 0 | ||
8 | Denis Malgin | 0 | LW/RW | 23 | 4 | 3 | 7 | -3 | 9 | 5 | 14 | 48 | 18 | 14 | 8.33% | 4 | 9.08 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 10 | 2 | 0 | 25.00% | 4 | 18 | 6 | 0 | 0 | 0.67 | 0 | 0 | ||
9 | Jason Zucker | 0 | LW/RW | 23 | 3 | 4 | 7 | 1 | 14 | 0 | 34 | 37 | 16 | 28 | 8.11% | 6 | 15.72 | 0 | 2 | 2 | 39 | 0 | 0 | 0 | 0 | 0 | 0 | 38.46% | 13 | 10 | 6 | 0 | 0 | 0.39 | 0 | 0 | ||
10 | Philipp Kurashev | 0 | C/LW/RW | 23 | 4 | 2 | 6 | -6 | 4 | 0 | 21 | 45 | 16 | 38 | 8.89% | 5 | 12.53 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 25 | 0 | 0 | 59.09% | 22 | 9 | 3 | 0 | 0 | 0.42 | 0 | 0 | ||
11 | Frederick Gaudreau | 0 | C/LW | 23 | 1 | 3 | 4 | -7 | 2 | 0 | 11 | 40 | 10 | 25 | 2.50% | 13 | 12.34 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 4 | 0 | 0 | 46.55% | 116 | 14 | 3 | 0 | 0 | 0.28 | 0 | 1 | ||
12 | Dylan DeMelo | 0 | D | 23 | 0 | 4 | 4 | -8 | 14 | 0 | 27 | 23 | 12 | 6 | 0.00% | 32 | 20.25 | 0 | 0 | 0 | 40 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 1 | 17 | 0 | 0 | 0.17 | 0 | 0 | ||
13 | Jake Muzzin | 0 | D | 23 | 0 | 4 | 4 | 1 | 13 | 5 | 30 | 8 | 7 | 7 | 0.00% | 23 | 13.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 1 | 6 | 0 | 0 | 0.26 | 0 | 0 | ||
14 | Andrew Agozzino | 0 | C/LW | 23 | 2 | 1 | 3 | -3 | 9 | 5 | 19 | 37 | 11 | 11 | 5.41% | 10 | 9.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 50.00% | 60 | 6 | 1 | 0 | 0 | 0.27 | 0 | 0 | ||
15 | Anthony Deangelo | 0 | D | 23 | 0 | 3 | 3 | -7 | 22 | 0 | 26 | 41 | 19 | 9 | 0.00% | 22 | 20.44 | 0 | 0 | 0 | 40 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 9 | 9 | 0 | 0 | 0.13 | 0 | 0 | ||
16 | Pierre Engvall | 0 | LW/RW | 23 | 2 | 0 | 2 | -7 | 4 | 0 | 23 | 29 | 5 | 20 | 6.90% | 8 | 11.68 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 42.86% | 7 | 1 | 2 | 0 | 0 | 0.15 | 0 | 0 | ||
17 | Pavol Regenda | 0 | LW/RW | 23 | 1 | 0 | 1 | -3 | 2 | 0 | 11 | 8 | 6 | 10 | 12.50% | 3 | 8.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 50.00% | 4 | 0 | 1 | 0 | 0 | 0.11 | 0 | 0 | ||
18 | Erik Gustafsson | 0 | D | 23 | 0 | 1 | 1 | 1 | 6 | 0 | 14 | 5 | 5 | 2 | 0.00% | 15 | 12.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 11 | 0 | 0 | 0.07 | 0 | 0 | ||
Team Total or Average | 414 | 58 | 92 | 150 | -28 | 166 | 30 | 459 | 767 | 273 | 444 | 7.56% | 260 | 16.50 | 12 | 21 | 33 | 473 | 3 | 4 | 7 | 445 | 10 | 3 | 53.16% | 1298 | 173 | 143 | 0 | 1 | 0.44 | 2 | 12 |
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 | Alex Lyon | 19 | 9 | 8 | 1 | 0.919 | 2.70 | 1111 | 2 | 1 | 50 | 621 | 366 | 1 | 0 | 0.800 | 5 | 17 | 6 | 2 | 1 | 1 | |
2 | Jack Campbell | 6 | 2 | 2 | 1 | 0.904 | 3.40 | 282 | 0 | 0 | 16 | 166 | 89 | 0 | 0 | 0.667 | 6 | 6 | 17 | 2 | 0 | 0 | |
Team Total or Average | 25 | 11 | 10 | 2 | 0.916 | 2.84 | 1393 | 2 | 1 | 66 | 787 | 455 | 1 | 0 | 0.727 | 11 | 23 | 23 | 4 | 1 | 1 |
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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 3 | 0 | 0 | 36 | 6 | 19 | 11 | 0 | 36 | 10 | 10 | 22 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 1 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 21 | 12 | 22 | 9 | 16 | 7 | 57.1% | 11.1% | 91.7% | 102.8 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 12 | 5 | 7 | 0 | 44 | 16 | 6 | 21 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 18 | 10 | 24 | 8 | 16 | 8 | 0.0% | 0.0% | 93.2% | 93.2 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 31 | 10 | 8 | 13 | 0 | 37 | 13 | 2 | 22 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 22 | 13 | 21 | 7 | 16 | 8 | 25.0% | 3.2% | 91.9% | 95.1 | DULL | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 33 | 10 | 13 | 10 | 0 | 33 | 9 | 6 | 25 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 19 | 10 | 23 | 9 | 17 | 8 | 33.3% | 3.0% | 90.9% | 93.9 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 33 | 8 | 10 | 15 | 0 | 37 | 10 | 4 | 14 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 20 | 11 | 22 | 8 | 16 | 8 | 33.3% | 9.1% | 94.6% | 103.7 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 4 | 13 | 6 | 0 | 37 | 13 | 18 | 20 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 18 | 10 | 23 | 9 | 18 | 9 | 20.0% | 4.3% | 83.8% | 88.1 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 3 | 0 | 37 | 12 | 12 | 13 | 0 | 34 | 8 | 4 | 20 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 23 | 14 | 19 | 8 | 17 | 9 | 80.0% | 10.8% | 97.1% | 107.9 | LUCKY | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 0.500 | 10 | 18 | 28 | 0 | 0 | 0 | 4 | 6 | 0 | 72 | 18 | 25 | 29 | 0 | 61 | 31 | 17 | 37 | 9 | 3 | 33.33% | 6 | 2 | 66.67% | 1 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 42 | 25 | 41 | 17 | 35 | 17 | 41.2% | 13.9% | 80.3% | 94.2 | FUN | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 6 | 11 | 0 | 0 | 1 | 3 | 1 | 0 | 33 | 8 | 12 | 13 | 0 | 27 | 12 | 6 | 23 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 21 | 12 | 21 | 9 | 17 | 8 | 83.3% | 15.2% | 92.6% | 107.7 | LUCKY | |
10 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 29 | 8 | 7 | 14 | 6 | 35 | 14 | 0 | 24 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 22 | 12 | 22 | 9 | 20 | 10 | 0.0% | 3.4% | 94.3% | 97.7 | DULL | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 1 | 0 | 28 | 10 | 8 | 10 | 0 | 46 | 5 | 10 | 19 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 1 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 20 | 12 | 22 | 9 | 16 | 7 | 66.7% | 17.9% | 91.3% | 109.2 | LUCKY | |
12 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 43 | 18 | 11 | 13 | 4 | 30 | 7 | 17 | 13 | 1 | 1 | 100.00% | 6 | 0 | 100.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 23 | 14 | 22 | 11 | 19 | 8 | 25.0% | 4.7% | 90.0% | 94.7 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 35 | 11 | 3 | 21 | 0 | 36 | 13 | 6 | 24 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 21 | 12 | 22 | 8 | 16 | 8 | 25.0% | 5.7% | 91.7% | 97.4 | DULL | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 31 | 10 | 13 | 8 | 0 | 40 | 18 | 6 | 16 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 17 | 9 | 26 | 9 | 15 | 7 | 100.0% | 6.5% | 97.5% | 104.0 | DULL | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 4 | 7 | 0 | 1 | 1 | 1 | 1 | 0 | 63 | 22 | 17 | 24 | 0 | 56 | 18 | 14 | 50 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 43 | 24 | 40 | 18 | 36 | 17 | 33.3% | 4.8% | 94.6% | 99.4 | DULL | |
16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 72 | 21 | 28 | 23 | 0 | 75 | 18 | 15 | 29 | 5 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 41 | 23 | 44 | 17 | 34 | 16 | 33.3% | 4.2% | 89.3% | 93.5 | Unlucky | |
17 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 6 | 4 | 6 | 1.000 | 10 | 13 | 23 | 0 | 0 | 2 | 4 | 3 | 1 | 112 | 38 | 43 | 29 | 5 | 94 | 31 | 23 | 61 | 9 | 1 | 11.11% | 9 | 2 | 77.78% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 71 | 43 | 58 | 26 | 54 | 27 | 69.2% | 8.9% | 93.6% | 102.5 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 32 | 19 | 7 | 6 | 0 | 29 | 14 | 4 | 19 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 24 | 14 | 19 | 9 | 16 | 8 | 50.0% | 6.3% | 89.7% | 95.9 | Unlucky | |
_Vs Division | 8 | 3 | 4 | 0 | 0 | 0 | 0 | 1 | 20 | 27 | -7 | 7 | 0.438 | 20 | 33 | 53 | 0 | 1 | 3 | 9 | 8 | 0 | 271 | 86 | 90 | 94 | 4 | 260 | 91 | 70 | 168 | 19 | 6 | 31.58% | 30 | 4 | 86.67% | 2 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 169 | 97 | 174 | 73 | 141 | 67 | 37.8% | 7.4% | 89.6% | 97.0 | Unlucky | |
_Vs Conference | 12 | 6 | 4 | 0 | 0 | 0 | 1 | 1 | 32 | 34 | -2 | 15 | 0.625 | 32 | 49 | 81 | 0 | 1 | 5 | 14 | 12 | 1 | 414 | 134 | 146 | 131 | 9 | 394 | 140 | 99 | 245 | 30 | 7 | 23.33% | 42 | 7 | 83.33% | 2 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 257 | 151 | 260 | 110 | 212 | 103 | 48.1% | 7.7% | 91.4% | 99.1 | DULL | |
_Since Last GM Reset | 23 | 10 | 10 | 0 | 0 | 0 | 1 | 2 | 59 | 68 | -9 | 24 | 0.522 | 59 | 92 | 151 | 0 | 1 | 12 | 22 | 24 | 2 | 767 | 245 | 254 | 265 | 15 | 787 | 260 | 168 | 459 | 61 | 12 | 19.67% | 68 | 15 | 77.94% | 3 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 494 | 288 | 499 | 206 | 401 | 200 | 47.0% | 7.7% | 91.4% | 99.1 | DULL | |
Total | 23 | 10 | 10 | 0 | 0 | 0 | 1 | 2 | 59 | 68 | -9 | 24 | 0.522 | 59 | 92 | 151 | 0 | 1 | 12 | 22 | 24 | 2 | 767 | 245 | 254 | 265 | 15 | 787 | 260 | 168 | 459 | 61 | 12 | 19.67% | 68 | 15 | 77.94% | 3 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 494 | 288 | 499 | 206 | 401 | 200 | 47.0% | 7.7% | 91.4% | 99.1 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 504 |
Neutral Zone Start | 312 |
Defensive Zone Start | 474 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 690 |
Faceoffs Lost | 600 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.7 | 9.57 |
2nd Period | 21.7 | 20.31 |
3rd Period | 33.2 | 30.68 |
Overtime | 33.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 44 |
---|---|
PP Goal | 12 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 4 |
Lost | 3 | 7 |
Overtime Lost | 1 | 1 |
PP Attempt | 61 |
---|---|
PP Goal | 12 |
PK Attempt | 68 |
PK Goal Against | 15 |
Home | |
---|---|
Shots For | 33.3 |
Shots Against | 34.2 |
Goals For | 2.6 |
Goals Against | 3.0 |
Hits | 20.0 |
Shots Blocked | 11.3 |
Pim | 7.3 |
Projected Total Cap Hit | 82,242,500$ |
Projected Cap Space | 257,500$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 21,417,300$ |
Players In Salary Cap | 21 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Lyon ![]() | G | 29 | 750,000$ | 750,000$ | |||||||
Andrew Agozzino ![]() | C/LW | 31 | 775,000$ | 775,000$ | 775,000$ | ||||||
Anthony Deangelo ![]() | D | 26 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Denis Malgin ![]() | LW/RW | 25 | 750,000$ | 750,000$ | |||||||
Dylan DeMelo ![]() | D | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Erik Gustafsson ![]() | D | 30 | 800,000$ | 800,000$ | |||||||
Filip Forsberg ![]() | LW | 28 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ |
Frederick Gaudreau ![]() | C/LW | 29 | 1,200,000$ | 1,200,000$ | |||||||
Jack Campbell ![]() | G | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||
Jack Roslovic ![]() | C/RW | 25 | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||||
Jake Muzzin ![]() | D | 33 | 5,625,000$ | 5,625,000$ | 5,625,000$ | ||||||
Jared Spurgeon ![]() | D | 32 | 7,575,000$ | 7,575,000$ | 7,575,000$ | 7,575,000$ | 7,575,000$ | 7,575,000$ | |||
Jason Zucker ![]() | LW/RW | 30 | 5,500,000$ | 5,500,000$ | |||||||
Nathan Beaulieu ![]() | D | 29 | 850,000$ | 850,000$ | |||||||
Nick Leddy ![]() | D | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||
Nick Schmaltz ![]() | C/RW | 26 | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | ||||
Nicklas Backstrom ![]() | C | 34 | 9,200,000$ | 9,200,000$ | 9,200,000$ | 9,200,000$ | |||||
Pavol Regenda ![]() | LW/RW | 23 | 925,000$ | 925,000$ | 925,000$ | ||||||
Philipp Kurashev ![]() | C/LW/RW | 22 | 842,500$ | 842,500$ | |||||||
Pierre Engvall ![]() | LW/RW | 26 | 2,250,000$ | 2,250,000$ | |||||||
Tyler Seguin ![]() | C/RW | 30 | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 3 | 0 | 0 | 36 | 6 | 19 | 11 | 0 | 36 | 10 | 10 | 22 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 1 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 21 | 12 | 22 | 9 | 16 | 7 | 57.1% | 11.1% | 91.7% | 102.8 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 12 | 5 | 7 | 0 | 44 | 16 | 6 | 21 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 18 | 10 | 24 | 8 | 16 | 8 | 0.0% | 0.0% | 93.2% | 93.2 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 31 | 10 | 8 | 13 | 0 | 37 | 13 | 2 | 22 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 22 | 13 | 21 | 7 | 16 | 8 | 25.0% | 3.2% | 91.9% | 95.1 | DULL | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 33 | 10 | 13 | 10 | 0 | 33 | 9 | 6 | 25 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 19 | 10 | 23 | 9 | 17 | 8 | 33.3% | 3.0% | 90.9% | 93.9 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 33 | 8 | 10 | 15 | 0 | 37 | 10 | 4 | 14 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 20 | 11 | 22 | 8 | 16 | 8 | 33.3% | 9.1% | 94.6% | 103.7 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 4 | 13 | 6 | 0 | 37 | 13 | 18 | 20 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 18 | 10 | 23 | 9 | 18 | 9 | 20.0% | 4.3% | 83.8% | 88.1 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 3 | 0 | 37 | 12 | 12 | 13 | 0 | 34 | 8 | 4 | 20 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 23 | 14 | 19 | 8 | 17 | 9 | 80.0% | 10.8% | 97.1% | 107.9 | LUCKY | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 0.500 | 10 | 18 | 28 | 0 | 0 | 0 | 4 | 6 | 0 | 72 | 18 | 25 | 29 | 0 | 61 | 31 | 17 | 37 | 9 | 3 | 33.33% | 6 | 2 | 66.67% | 1 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 42 | 25 | 41 | 17 | 35 | 17 | 41.2% | 13.9% | 80.3% | 94.2 | FUN | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 6 | 11 | 0 | 0 | 1 | 3 | 1 | 0 | 33 | 8 | 12 | 13 | 0 | 27 | 12 | 6 | 23 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 21 | 12 | 21 | 9 | 17 | 8 | 83.3% | 15.2% | 92.6% | 107.7 | LUCKY | |
10 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 29 | 8 | 7 | 14 | 6 | 35 | 14 | 0 | 24 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 22 | 12 | 22 | 9 | 20 | 10 | 0.0% | 3.4% | 94.3% | 97.7 | DULL | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 1 | 0 | 28 | 10 | 8 | 10 | 0 | 46 | 5 | 10 | 19 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 1 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 20 | 12 | 22 | 9 | 16 | 7 | 66.7% | 17.9% | 91.3% | 109.2 | LUCKY | |
12 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 43 | 18 | 11 | 13 | 4 | 30 | 7 | 17 | 13 | 1 | 1 | 100.00% | 6 | 0 | 100.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 23 | 14 | 22 | 11 | 19 | 8 | 25.0% | 4.7% | 90.0% | 94.7 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 35 | 11 | 3 | 21 | 0 | 36 | 13 | 6 | 24 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 21 | 12 | 22 | 8 | 16 | 8 | 25.0% | 5.7% | 91.7% | 97.4 | DULL | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 31 | 10 | 13 | 8 | 0 | 40 | 18 | 6 | 16 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 17 | 9 | 26 | 9 | 15 | 7 | 100.0% | 6.5% | 97.5% | 104.0 | DULL | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 4 | 7 | 0 | 1 | 1 | 1 | 1 | 0 | 63 | 22 | 17 | 24 | 0 | 56 | 18 | 14 | 50 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 43 | 24 | 40 | 18 | 36 | 17 | 33.3% | 4.8% | 94.6% | 99.4 | DULL | |
16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 72 | 21 | 28 | 23 | 0 | 75 | 18 | 15 | 29 | 5 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 41 | 23 | 44 | 17 | 34 | 16 | 33.3% | 4.2% | 89.3% | 93.5 | Unlucky | |
17 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 6 | 4 | 6 | 1.000 | 10 | 13 | 23 | 0 | 0 | 2 | 4 | 3 | 1 | 112 | 38 | 43 | 29 | 5 | 94 | 31 | 23 | 61 | 9 | 1 | 11.11% | 9 | 2 | 77.78% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 71 | 43 | 58 | 26 | 54 | 27 | 69.2% | 8.9% | 93.6% | 102.5 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 32 | 19 | 7 | 6 | 0 | 29 | 14 | 4 | 19 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 24 | 14 | 19 | 9 | 16 | 8 | 50.0% | 6.3% | 89.7% | 95.9 | Unlucky | |
_Vs Division | 8 | 3 | 4 | 0 | 0 | 0 | 0 | 1 | 20 | 27 | -7 | 7 | 0.438 | 20 | 33 | 53 | 0 | 1 | 3 | 9 | 8 | 0 | 271 | 86 | 90 | 94 | 4 | 260 | 91 | 70 | 168 | 19 | 6 | 31.58% | 30 | 4 | 86.67% | 2 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 169 | 97 | 174 | 73 | 141 | 67 | 37.8% | 7.4% | 89.6% | 97.0 | Unlucky | |
_Vs Conference | 12 | 6 | 4 | 0 | 0 | 0 | 1 | 1 | 32 | 34 | -2 | 15 | 0.625 | 32 | 49 | 81 | 0 | 1 | 5 | 14 | 12 | 1 | 414 | 134 | 146 | 131 | 9 | 394 | 140 | 99 | 245 | 30 | 7 | 23.33% | 42 | 7 | 83.33% | 2 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 257 | 151 | 260 | 110 | 212 | 103 | 48.1% | 7.7% | 91.4% | 99.1 | DULL | |
_Since Last GM Reset | 23 | 10 | 10 | 0 | 0 | 0 | 1 | 2 | 59 | 68 | -9 | 24 | 0.522 | 59 | 92 | 151 | 0 | 1 | 12 | 22 | 24 | 2 | 767 | 245 | 254 | 265 | 15 | 787 | 260 | 168 | 459 | 61 | 12 | 19.67% | 68 | 15 | 77.94% | 3 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 494 | 288 | 499 | 206 | 401 | 200 | 47.0% | 7.7% | 91.4% | 99.1 | DULL | |
Total | 23 | 10 | 10 | 0 | 0 | 0 | 1 | 2 | 59 | 68 | -9 | 24 | 0.522 | 59 | 92 | 151 | 0 | 1 | 12 | 22 | 24 | 2 | 767 | 245 | 254 | 265 | 15 | 787 | 260 | 168 | 459 | 61 | 12 | 19.67% | 68 | 15 | 77.94% | 3 | 264 | 504 | 52.38% | 248 | 474 | 52.32% | 178 | 312 | 57.05% | 494 | 288 | 499 | 206 | 401 | 200 | 47.0% | 7.7% | 91.4% | 99.1 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 504 |
Neutral Zone Start | 312 |
Defensive Zone Start | 474 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 690 |
Faceoffs Lost | 600 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.7 | 9.57 |
2nd Period | 21.7 | 20.31 |
3rd Period | 33.2 | 30.68 |
Overtime | 33.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 44 |
---|---|
PP Goal | 12 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 4 |
Lost | 3 | 7 |
Overtime Lost | 1 | 1 |
PP Attempt | 61 |
---|---|
PP Goal | 12 |
PK Attempt | 68 |
PK Goal Against | 15 |
Home | |
---|---|
Shots For | 33.3 |
Shots Against | 34.2 |
Goals For | 2.6 |
Goals Against | 3.0 |
Hits | 20.0 |
Shots Blocked | 11.3 |
Pim | 7.3 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-10-06 | @ | Predators2,Lightning5 | RECAP | ||
2023-10-10 | @ | Lightning1,Red Wings3 | RECAP | ||
2023-10-11 | @ | Lightning1,Senators0 | RECAP | ||
2023-10-13 | @ | Lightning2,Sabres3 (SO) | RECAP | ||
2023-10-15 | @ | Canucks1,Lightning4 | RECAP | ||
2023-10-17 | @ | Maple Leafs3,Lightning5 | RECAP | ||
2023-10-20 | @ | Hurricanes1,Lightning2 | RECAP | ||
2023-10-22 | @ | Sharks3,Lightning2 | RECAP | ||
2023-10-26 | @ | Kraken3,Lightning2 | RECAP | ||
2023-10-29 | @ | Lightning2,Blue Jackets1 | RECAP | ||
2023-10-31 | @ | Lightning2,Senators3 | RECAP | ||
2023-11-02 | @ | Lightning5,Maple Leafs9 | RECAP | ||
2023-11-03 | @ | Lightning0,Canadiens3 | RECAP | ||
2023-11-05 | @ | Blackhawks3,Lightning1 | RECAP | ||
2023-11-07 | @ | Hurricanes2,Lightning3 (SO) | RECAP | ||
2023-11-10 | @ | Lightning3,Blues2 | RECAP | ||
2023-11-12 | @ | Lightning2,Blackhawks5 | RECAP | ||
2023-11-14 | @ | Oilers4,Lightning5 | RECAP | ||
2023-11-16 | @ | Bruins3,Lightning4 | RECAP | ||
2023-11-18 | @ | Jets2,Lightning1 (SO) | RECAP | ||
2023-11-20 | @ | Lightning5,Hurricanes3 | RECAP | ||
2023-11-23 | @ | Lightning1,Avalanche6 | RECAP | ||
2023-11-24 | @ | Lightning1,Coyotes3 | RECAP | ||
2023-11-26 | @ | ||||
2023-11-28 | @ | ||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,242,500$ | 0$ | 82,242,500$ | 257,500$ |
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 | 60899 | 52744 | 20849 | 41177 | 10371 |
Attendance PCT | 92.27% | 95.90% | 94.77% | 93.58% | 94.28% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
30 | 16913 - 93.96% | 606,802$ | 6,674,820$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,242,500$ | 82,242,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
21,417,300$ | 82,242,500$ | 21,417,300$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
18,204,055$ | 142 | 428,346$ | 60,825,132$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
64,409,204$ | 82,242,500$ | -483,081,596$ | -529,286,745$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
Priority | Type | Description |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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1 ballo tb 2023 | |||||
Alexander Pashin | 2020 | 199 | |||
Artur Kayumov | |||||
Artyom Galimov | 2020 | 100 | |||
Artyom Grushnikov | 2021 | 59 | |||
Austin Roest | 2023 | 183 | |||
Brady Keeper | Link | ||||
Bret Berard | 2020 | 137 | |||
Cam Dineen | 2016 | 58 | Link | ||
Carl Dahlstrom | Link | ||||
Christian Jaros | Link | ||||
Cole O'Hara | 2022 | 127 | |||
Connor Lockhart | 2021 | 189 | |||
David Drake | |||||
Grant Hutton | Link | ||||
Jack Ahcan | Link | ||||
Jake Massie | |||||
Jason Spezza | Link | ||||
Jaydon Dureau | 2020 | 148 | |||
Joseph Blandesi | |||||
Joseph Cecconi | |||||
Justin Janicke | 2021 | 200 | |||
Landon Sim | 2022 | 191 | |||
Liam Kirk | 2018 | 199 | |||
Ludwig Persson | 2022 | 95 | |||
Martin Has | 2019 | 160 | |||
Matias Mantykivi | 2019 | 191 | |||
Matt Lorito | |||||
Maxwell Crozier | 2019 | 131 | |||
Michael Prapavessis | |||||
Mikael Pyythia | 2020 | 96 | |||
Mikhail Ilyin | 2023 | 151 | |||
Mitchell Miller | 2020 | 119 | |||
Nick Leivermann | |||||
Nikita Gusev | Link | ||||
Norwin Panocha | 2023 | 215 | |||
Peter Diliberatore | 2018 | 187 | |||
Seth Barton | 2018 | 89 | |||
Tristan Broz | 2021 | 63 | |||
Viktor Hurtig | 2021 | 168 | |||
Zam Plante | 2022 | 159 |
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