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Full Scoreboard »» |
Tampa Bay Lightning 22-16-7, 51pts · 12th 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 | 98.00 | 53 | 41 | 86 | 78 | 81 | 87 | 89 | 77 | 90 | 86 | 66 | 88 | 76 | 77 | 80 | 62 | 50 | 74 | 28 | 7,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 65 | 40 | 85 | 78 | 74 | 83 | 90 | 77 | 52 | 76 | 80 | 85 | 78 | 77 | 75 | 54 | 50 | 74 | 28 | 5,000,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 77 | 38 | 79 | 78 | 67 | 81 | 87 | 76 | 54 | 82 | 77 | 63 | 81 | 78 | 68 | 54 | 50 | 71 | 28 | 5,300,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 63 | 40 | 85 | 77 | 74 | 82 | 87 | 76 | 53 | 72 | 78 | 64 | 76 | 75 | 72 | 63 | 50 | 70 | 27 | 4,600,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 68 | 42 | 83 | 78 | 71 | 81 | 79 | 76 | 54 | 75 | 77 | 59 | 78 | 75 | 72 | 57 | 50 | 69 | 27 | 5,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 71 | 42 | 87 | 69 | 85 | 81 | 84 | 68 | 79 | 75 | 63 | 74 | 69 | 65 | 64 | 87 | 50 | 68 | 22 | 2,250,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 68 | 39 | 82 | 68 | 92 | 81 | 78 | 66 | 67 | 64 | 65 | 69 | 66 | 67 | 63 | 59 | 50 | 66 | 23 | 925,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 54 | 41 | 89 | 65 | 70 | 79 | 78 | 63 | 57 | 62 | 58 | 66 | 59 | 73 | 67 | 58 | 50 | 62 | 26 | 666,667$/1yrs | |||
![]() | 0 | RW | 100.00 | 74 | 46 | 85 | 64 | 80 | 79 | 76 | 59 | 53 | 57 | 57 | 63 | 59 | 80 | 72 | 48 | 50 | 62 | 31 | 2,350,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 73 | 55 | 81 | 60 | 87 | 86 | 87 | 58 | 54 | 56 | 56 | 63 | 58 | 79 | 77 | 54 | 50 | 62 | 30 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 63 | 48 | 86 | 64 | 82 | 78 | 74 | 63 | 74 | 60 | 66 | 62 | 64 | 63 | 61 | 67 | 50 | 62 | 21 | 763,333$/2yrs | |||
![]() | 0 | D | 100.00 | 73 | 40 | 87 | 77 | 76 | 87 | 79 | 74 | 30 | 76 | 59 | 66 | 54 | 77 | 69 | 67 | 50 | 69 | 28 | 5,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 54 | 40 | 85 | 77 | 76 | 85 | 88 | 75 | 30 | 86 | 62 | 56 | 58 | 84 | 74 | 33 | 50 | 69 | 33 | 6,350,000$/2yrs | |||
![]() | 0 | D | 100.00 | 81 | 44 | 78 | 64 | 79 | 85 | 88 | 63 | 30 | 76 | 55 | 74 | 51 | 67 | 64 | 73 | 50 | 69 | 23 | 874,125$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 42 | 70 | 74 | 68 | 85 | 87 | 73 | 30 | 85 | 78 | 56 | 63 | 69 | 68 | 79 | 50 | 68 | 23 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 44 | 75 | 59 | 78 | 77 | 79 | 58 | 30 | 69 | 50 | 77 | 46 | 88 | 78 | 36 | 50 | 67 | 36 | 1,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 41 | 83 | 68 | 79 | 85 | 69 | 66 | 30 | 73 | 61 | 56 | 52 | 78 | 66 | 59 | 50 | 64 | 29 | 5,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 80 | 46 | 79 | 59 | 86 | 77 | 73 | 58 | 30 | 65 | 55 | 64 | 48 | 79 | 71 | 68 | 50 | 64 | 29 | 700,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 65 | 41 | 85 | 62 | 67 | 71 | 66 | 61 | 72 | 66 | 59 | 62 | 60 | 73 | 67 | 54 | 50 | 61 | 26 | 675,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 79 | 43 | 87 | 63 | 81 | 74 | 67 | 62 | 53 | 61 | 54 | 58 | 63 | 75 | 68 | 52 | 52 | 61 | 27 | 3,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 63 | 39 | 77 | 63 | 70 | 78 | 77 | 62 | 75 | 61 | 59 | 58 | 62 | 71 | 67 | 53 | 50 | 61 | 25 | 700,000$/1yrs | |||
TEAM AVERAGE | 99.90 | 68 | 42 | 83 | 69 | 77 | 81 | 80 | 67 | 52 | 71 | 64 | 66 | 63 | 75 | 70 | 59 | 50 | 66 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 86 | 90 | 88 | 93 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 88 | 92 | 47 | 50 | 84 | 36 | 5,000,000$/2yrs |
![]() | 0 | 100.00 | 80 | 79 | 77 | 80 | 79 | 78 | 80 | 79 | 78 | 80 | 79 | 75 | 81 | 70 | 50 | 76 | 27 | 675,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 73 | 80 | 78 | 81 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 86 | 90 | 49 | 50 | 73 | 35 | 4,000,000$/1yrs |
![]() | 0 | 100.00 | 75 | 81 | 79 | 78 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 75 | 81 | 57 | 50 | 73 | 26 | 750,000$/1yrs |
TEAM AVERAGE | 99.50 | 79 | 83 | 81 | 83 | 78 | 77 | 79 | 78 | 77 | 79 | 78 | 81 | 86 | 56 | 50 | 77 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 66 | 38 | 84 | 67 | 65 | 71 | 69 | 66 | 73 | 65 | 60 | 59 | 62 | 65 | 63 | 61 | 60 | 61 | 22 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 45 | 89 | 62 | 88 | 72 | 68 | 61 | 30 | 63 | 57 | 64 | 46 | 67 | 64 | 55 | 60 | 62 | 23 | 755,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 59 | 72 | 56 | 82 | 87 | 88 | 55 | 30 | 54 | 54 | 56 | 45 | 67 | 64 | 61 | 60 | 61 | 23 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 44 | 89 | 59 | 93 | 77 | 60 | 58 | 30 | 56 | 50 | 63 | 48 | 69 | 65 | 66 | 60 | 61 | 24 | 850,000$/2yrs | |||
Scratches |
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 |
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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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ryan O'Reilly | 0 | C | 45 | 10 | 31 | 41 | -5 | 6 | 0 | 65 | 123 | 46 | 74 | 8.13% | 26 | 23.50 | 7 | 15 | 22 | 146 | 0 | 0 | 0 | 100 | 0 | 1 | 56.36% | 1297 | 33 | 18 | 0 | 0 | 0.78 | 0 | 9 | ||
2 | Reilly Smith | 0 | RW | 45 | 15 | 17 | 32 | 0 | 8 | 0 | 78 | 171 | 45 | 87 | 8.77% | 25 | 21.93 | 9 | 9 | 18 | 145 | 0 | 0 | 0 | 14 | 1 | 3 | 40.00% | 125 | 37 | 20 | 0 | 0 | 0.65 | 2 | 8 | ||
3 | Tomas Tatar | 0 | LW | 45 | 12 | 19 | 31 | -1 | 44 | 0 | 82 | 156 | 59 | 102 | 7.69% | 15 | 20.55 | 3 | 13 | 16 | 145 | 0 | 0 | 0 | 0 | 2 | 1 | 37.14% | 70 | 46 | 13 | 0 | 0 | 0.67 | 3 | 9 | ||
4 | Tyler Toffoli | 0 | RW | 45 | 9 | 12 | 21 | -6 | 12 | 0 | 57 | 117 | 49 | 63 | 7.69% | 18 | 18.86 | 1 | 6 | 7 | 111 | 0 | 0 | 0 | 0 | 2 | 2 | 41.67% | 48 | 26 | 18 | 0 | 0 | 0.49 | 0 | 1 | ||
5 | Keith Yandle | 0 | D | 45 | 5 | 14 | 19 | -11 | 9 | 5 | 35 | 64 | 17 | 26 | 7.81% | 54 | 26.30 | 4 | 4 | 8 | 163 | 0 | 0 | 0 | 107 | 1 | 1 | 0.00% | 0 | 25 | 35 | 0 | 0 | 0.32 | 3 | 3 | ||
6 | Jason Zucker | 0 | LW | 45 | 12 | 6 | 18 | 1 | 16 | 0 | 67 | 123 | 33 | 72 | 9.76% | 20 | 17.27 | 6 | 1 | 7 | 112 | 0 | 0 | 0 | 5 | 1 | 1 | 51.85% | 27 | 23 | 11 | 0 | 0 | 0.46 | 1 | 4 | ||
7 | Pavel Zacha | 0 | C | 45 | 5 | 8 | 13 | 1 | 6 | 0 | 68 | 68 | 22 | 38 | 7.35% | 28 | 20.10 | 0 | 3 | 3 | 113 | 1 | 0 | 1 | 101 | 2 | 0 | 49.65% | 717 | 8 | 18 | 0 | 0 | 0.29 | 0 | 0 | ||
8 | Pierre Engvall | 0 | LW | 45 | 7 | 6 | 13 | 3 | 8 | 0 | 44 | 122 | 31 | 58 | 5.74% | 12 | 14.32 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 100 | 5 | 0 | 47.06% | 17 | 22 | 13 | 0 | 0 | 0.40 | 0 | 0 | ||
9 | Tony DeAngelo | 0 | D | 45 | 3 | 8 | 11 | -10 | 52 | 0 | 73 | 53 | 38 | 26 | 5.66% | 46 | 24.47 | 2 | 2 | 4 | 163 | 0 | 0 | 0 | 12 | 1 | 0 | 0.00% | 0 | 27 | 37 | 0 | 0 | 0.20 | 0 | 0 | ||
10 | Nick Leddy | 0 | D | 45 | 0 | 11 | 11 | 8 | 4 | 0 | 38 | 53 | 29 | 23 | 0.00% | 46 | 22.31 | 0 | 2 | 2 | 98 | 0 | 1 | 1 | 107 | 0 | 0 | 0.00% | 1 | 25 | 41 | 0 | 0 | 0.22 | 0 | 0 | ||
11 | Frederick Gaudreau | 0 | RW | 45 | 4 | 3 | 7 | -1 | 2 | 0 | 34 | 57 | 11 | 35 | 7.02% | 11 | 12.91 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 44.44% | 9 | 6 | 7 | 0 | 0 | 0.24 | 0 | 0 | ||
12 | Marcus Pettersson | 0 | D | 45 | 1 | 5 | 6 | 5 | 48 | 0 | 48 | 29 | 16 | 13 | 3.45% | 44 | 19.42 | 1 | 1 | 2 | 95 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 6 | 21 | 0 | 0 | 0.14 | 0 | 0 | ||
13 | Dan Hamhuis | 0 | D | 45 | 2 | 3 | 5 | 0 | 24 | 0 | 24 | 18 | 10 | 11 | 11.11% | 43 | 14.13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 96 | 1 | 0 | 0.00% | 0 | 2 | 20 | 1 | 0 | 0.16 | 0 | 0 | ||
14 | Morgan Geekie | 0 | C | 45 | 1 | 3 | 4 | 0 | 8 | 0 | 46 | 64 | 14 | 41 | 1.56% | 15 | 12.65 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 44.14% | 222 | 9 | 16 | 0 | 0 | 0.14 | 0 | 0 | ||
15 | Justin Schultz | 0 | D | 45 | 1 | 2 | 3 | -2 | 12 | 0 | 22 | 13 | 7 | 10 | 7.69% | 31 | 15.46 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 100 | 1 | 0 | 0.00% | 0 | 6 | 13 | 0 | 0 | 0.09 | 0 | 0 | ||
16 | Dale Weise | 0 | RW | 45 | 0 | 0 | 0 | -6 | 8 | 0 | 25 | 14 | 3 | 4 | 0.00% | 6 | 6.01 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 26.92% | 26 | 2 | 2 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Luke Schenn | 0 | D | 45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.54 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Jordan Nolan | 0 | LW | 45 | 0 | 0 | 0 | -8 | 12 | 0 | 32 | 6 | 2 | 6 | 0.00% | 10 | 8.70 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 101 | 0 | 0 | 50.00% | 8 | 4 | 8 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 810 | 87 | 148 | 235 | -32 | 279 | 5 | 838 | 1251 | 432 | 689 | 6.95% | 450 | 16.64 | 34 | 56 | 90 | 1316 | 1 | 2 | 3 | 852 | 17 | 10 | 51.34% | 2567 | 307 | 311 | 1 | 0 | 0.35 | 9 | 34 |
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 | Pekka Rinne | 39 | 20 | 15 | 4 | 0.933 | 1.91 | 2327 | 6 | 0 | 74 | 1099 | 505 | 3 | 2 | 0.840 | 25 | 39 | 6 | 8 | 6 | 3 | |
2 | Jack Campbell | 8 | 2 | 1 | 3 | 0.914 | 2.45 | 417 | 0 | 1 | 17 | 197 | 102 | 0 | 0 | 0.571 | 7 | 6 | 39 | 0 | 1 | 0 | |
Team Total or Average | 47 | 22 | 16 | 7 | 0.930 | 1.99 | 2744 | 6 | 1 | 91 | 1296 | 607 | 3 | 2 | 0.781 | 32 | 45 | 45 | 8 | 7 | 3 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 56 | 12 | 17 | 27 | 0 | 63 | 15 | 16 | 36 | 7 | 1 | 14.29% | 8 | 4 | 50.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 41 | 23 | 43 | 17 | 35 | 18 | 60.0% | 7.1% | 90.5% | 97.6 | Unlucky | |
2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 1 | 29 | 9 | 9 | 11 | 4 | 31 | 7 | 6 | 16 | 5 | 2 | 40.00% | 3 | 1 | 66.67% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 23 | 13 | 21 | 9 | 19 | 10 | 25.0% | 10.3% | 87.1% | 97.4 | FUN | |
3 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 0.667 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 1 | 2 | 86 | 20 | 45 | 21 | 3 | 90 | 29 | 10 | 69 | 6 | 1 | 16.67% | 5 | 2 | 60.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 64 | 35 | 60 | 28 | 59 | 30 | 71.4% | 7.0% | 95.6% | 102.5 | DULL | |
4 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 1 | 1 | 32 | 8 | 6 | 18 | 4 | 33 | 9 | 8 | 30 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 23 | 12 | 20 | 9 | 21 | 11 | 66.7% | 9.4% | 93.9% | 103.3 | LUCKY | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 55 | 24 | 18 | 13 | 0 | 63 | 25 | 19 | 34 | 10 | 1 | 10.00% | 6 | 2 | 66.67% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 42 | 22 | 40 | 17 | 37 | 20 | 12.5% | 3.6% | 85.7% | 89.4 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 26 | 6 | 11 | 9 | 0 | 28 | 13 | 10 | 16 | 6 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 19 | 9 | 24 | 10 | 16 | 8 | 66.7% | 7.7% | 96.4% | 104.1 | DULL | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 20 | 11 | 5 | 4 | 0 | 29 | 16 | 10 | 14 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 20 | 10 | 21 | 9 | 18 | 9 | 0.0% | 5.0% | 89.7% | 94.7 | Unlucky | |
8 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 1 | 59 | 17 | 19 | 19 | 4 | 59 | 20 | 20 | 36 | 7 | 2 | 28.57% | 10 | 4 | 60.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 40 | 21 | 45 | 19 | 36 | 17 | 66.7% | 6.8% | 91.5% | 98.3 | DULL | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 32 | 8 | 12 | 12 | 0 | 34 | 13 | 12 | 11 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 20 | 11 | 22 | 8 | 17 | 8 | nan% | 3.1% | 94.1% | 97.2 | DULL | |
10 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 4 | 8 | -4 | 2 | 0.333 | 4 | 6 | 10 | 1 | 0 | 1 | 2 | 1 | 0 | 69 | 23 | 23 | 22 | 7 | 81 | 23 | 14 | 57 | 11 | 2 | 18.18% | 7 | 1 | 85.71% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 60 | 28 | 66 | 31 | 62 | 31 | 22.2% | 5.8% | 90.1% | 95.9 | Unlucky | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 34 | 13 | 5 | 14 | 5 | 31 | 8 | 2 | 20 | 4 | 2 | 50.00% | 1 | 1 | 0.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 23 | 12 | 21 | 9 | 19 | 10 | 0.0% | 5.9% | 90.3% | 96.2 | Unlucky | |
12 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 1 | 0 | 1 | 2 | 29 | 11 | 7 | 11 | 5 | 29 | 11 | 8 | 25 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 23 | 12 | 23 | 9 | 18 | 9 | 50.0% | 10.3% | 93.1% | 103.4 | LUCKY | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 11 | 11 | 11 | 0 | 33 | 12 | 8 | 19 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 21 | 12 | 20 | 9 | 17 | 8 | 66.7% | 6.1% | 97.0% | 103.0 | DULL | |
14 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 28 | 2 | 17 | 9 | 0 | 25 | 7 | 6 | 28 | 4 | 2 | 50.00% | 3 | 2 | 33.33% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 21 | 11 | 19 | 10 | 20 | 10 | 40.0% | 14.3% | 80.0% | 94.3 | FUN | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 8 | 15 | 0 | 0 | 3 | 1 | 3 | 0 | 54 | 15 | 15 | 24 | 0 | 50 | 19 | 12 | 42 | 9 | 4 | 44.44% | 7 | 1 | 85.71% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 42 | 23 | 41 | 18 | 35 | 18 | 75.0% | 13.0% | 96.0% | 109.0 | LUCKY | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 29 | 3 | 9 | 17 | 0 | 29 | 10 | 10 | 17 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 19 | 10 | 21 | 10 | 18 | 8 | 0.0% | 3.4% | 89.7% | 93.1 | Unlucky | |
17 | 4 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 12 | 9 | 3 | 7 | 0.875 | 12 | 20 | 32 | 0 | 0 | 3 | 4 | 4 | 1 | 121 | 40 | 36 | 45 | 5 | 118 | 49 | 30 | 67 | 11 | 3 | 27.27% | 15 | 3 | 80.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 80 | 42 | 89 | 39 | 75 | 37 | 60.0% | 9.9% | 92.4% | 102.3 | LUCKY | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 25 | 8 | 11 | 6 | 0 | 31 | 11 | 2 | 19 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 20 | 12 | 20 | 8 | 18 | 9 | 80.0% | 16.0% | 96.8% | 112.8 | LUCKY | |
19 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | -3 | 1 | 0.250 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 51 | 21 | 12 | 18 | 0 | 58 | 14 | 6 | 43 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 42 | 22 | 42 | 18 | 36 | 20 | 25.0% | 2.0% | 93.1% | 95.1 | DULL | |
20 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 6 | 0.750 | 8 | 15 | 23 | 0 | 0 | 1 | 2 | 5 | 0 | 120 | 44 | 32 | 44 | 0 | 109 | 55 | 18 | 62 | 20 | 2 | 10.00% | 10 | 2 | 80.00% | 1 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 89 | 50 | 79 | 37 | 71 | 37 | 66.7% | 6.7% | 95.4% | 102.1 | DULL | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 37 | 11 | 11 | 15 | 0 | 30 | 5 | 10 | 21 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 21 | 12 | 20 | 9 | 17 | 8 | 50.0% | 8.1% | 93.3% | 101.4 | DULL | |
22 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 2 | 1 | 88 | 35 | 19 | 33 | 1 | 94 | 39 | 18 | 56 | 9 | 3 | 33.33% | 9 | 0 | 100.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 63 | 36 | 65 | 26 | 51 | 25 | 30.0% | 6.8% | 92.6% | 99.4 | DULL | |
23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 0 | 47 | 13 | 19 | 15 | 0 | 58 | 16 | 12 | 33 | 6 | 1 | 16.67% | 6 | 2 | 66.67% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 36 | 18 | 45 | 20 | 38 | 17 | 80.0% | 10.6% | 94.8% | 105.5 | LUCKY | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 20 | 9 | 3 | 8 | 0 | 31 | 12 | 2 | 13 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 20 | 11 | 20 | 9 | 18 | 9 | 0.0% | 5.0% | 90.3% | 95.3 | Unlucky | |
25 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 3 | 0 | 4 | 0.667 | 3 | 4 | 7 | 0 | 1 | 0 | 1 | 1 | 1 | 71 | 21 | 18 | 31 | 3 | 61 | 12 | 16 | 54 | 14 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 61 | 28 | 58 | 31 | 64 | 33 | 50.0% | 4.2% | 95.1% | 99.3 | DULL | |
_Vs Division | 18 | 8 | 5 | 0 | 1 | 1 | 3 | 0 | 41 | 34 | 7 | 25 | 0.694 | 41 | 69 | 110 | 0 | 0 | 7 | 13 | 17 | 6 | 526 | 168 | 167 | 190 | 14 | 531 | 211 | 110 | 331 | 63 | 11 | 17.46% | 56 | 11 | 80.36% | 1 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 381 | 211 | 385 | 168 | 328 | 168 | 56.6% | 7.8% | 93.6% | 101.4 | DULL | |
_Vs Conference | 32 | 10 | 12 | 0 | 1 | 3 | 4 | 2 | 61 | 69 | -8 | 35 | 0.547 | 61 | 100 | 161 | 1 | 1 | 9 | 21 | 26 | 7 | 867 | 283 | 279 | 302 | 24 | 906 | 324 | 193 | 594 | 116 | 18 | 15.52% | 94 | 21 | 77.66% | 1 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 667 | 354 | 679 | 308 | 607 | 310 | 47.3% | 7.0% | 92.4% | 99.4 | DULL | |
_Since Last GM Reset | 45 | 15 | 16 | 0 | 2 | 3 | 5 | 4 | 92 | 97 | -5 | 51 | 0.567 | 92 | 148 | 240 | 2 | 1 | 17 | 30 | 38 | 10 | 1251 | 395 | 390 | 457 | 41 | 1298 | 450 | 285 | 838 | 161 | 34 | 21.12% | 141 | 34 | 75.89% | 1 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 946 | 509 | 955 | 431 | 848 | 432 | 47.9% | 7.4% | 92.5% | 99.9 | DULL | |
Total | 45 | 15 | 16 | 0 | 2 | 3 | 5 | 4 | 92 | 97 | -5 | 51 | 0.567 | 92 | 148 | 240 | 2 | 1 | 17 | 30 | 38 | 10 | 1251 | 395 | 390 | 457 | 41 | 1298 | 450 | 285 | 838 | 161 | 34 | 21.12% | 141 | 34 | 75.89% | 1 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 946 | 509 | 955 | 431 | 848 | 432 | 47.9% | 7.4% | 92.5% | 99.9 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 998 |
Neutral Zone Start | 557 |
Defensive Zone Start | 1012 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1318 |
Faceoffs Lost | 1249 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.8 | 9.57 |
2nd Period | 17.4 | 20.31 |
3rd Period | 27.6 | 30.68 |
Overtime | 28.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.9 | 2.67 |
Overtime | 2.1 | 2.83 |
Even Strenght Goal | 55 |
---|---|
PP Goal | 34 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 12 | 10 |
Lost | 7 | 9 |
Overtime Lost | 4 | 3 |
PP Attempt | 161 |
---|---|
PP Goal | 34 |
PK Attempt | 141 |
PK Goal Against | 34 |
Home | |
---|---|
Shots For | 27.8 |
Shots Against | 28.8 |
Goals For | 2.0 |
Goals Against | 2.2 |
Hits | 18.6 |
Shots Blocked | 10.0 |
Pim | 6.3 |
Projected Total Cap Hit | 71,954,125$ |
Projected Cap Space | 9,545,875$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 40,206,862$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Lightning Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Lyon ![]() | G | 26 | 750,000$ | 750,000$ | |||||||
Colin Blackwell ![]() | C | 26 | 675,000$ | 675,000$ | |||||||
Dale Weise ![]() | RW | 31 | 2,350,000$ | 2,350,000$ | |||||||
Dan Hamhuis ![]() | D | 36 | 1,250,000$ | 1,250,000$ | |||||||
Frederick Gaudreau ![]() | RW | 26 | 666,667$ | 666,667$ | |||||||
Jack Campbell ![]() | G | 27 | 675,000$ | 675,000$ | |||||||
Jason Zucker ![]() | LW | 27 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||
Jimmy Howard ![]() | G | 35 | 4,000,000$ | 4,000,000$ | |||||||
Jordan Nolan ![]() | LW | 30 | 700,000$ | 700,000$ | |||||||
Joseph Blandisi ![]() | C | 25 | 700,000$ | 700,000$ | |||||||
Justin Schultz ![]() | D | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||||
Keith Yandle ![]() | D | 33 | 6,350,000$ | 6,350,000$ | 6,350,000$ | ||||||
Luke Schenn ![]() | D | 29 | 700,000$ | 700,000$ | |||||||
Marcus Pettersson ![]() | D | 23 | 874,125$ | 874,125$ | |||||||
Micheal Ferland ![]() | LW | 27 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||||
Morgan Geekie ![]() | C | 21 | 763,333$ | 763,333$ | 763,333$ | ||||||
Nick Leddy ![]() | D | 28 | 5,500,000$ | 5,500,000$ | |||||||
Pavel Zacha ![]() | C | 22 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | |||||
Pekka Rinne ![]() | G | 36 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Pierre Engvall ![]() | LW | 23 | 925,000$ | 925,000$ | |||||||
Reilly Smith ![]() | RW | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Ryan O'Reilly ![]() | C | 28 | 7,500,000$ | 7,500,000$ | 7,500,000$ | ||||||
Tomas Tatar ![]() | LW | 28 | 5,300,000$ | 5,300,000$ | 5,300,000$ | ||||||
Tony DeAngelo ![]() | D | 23 | 925,000$ | 925,000$ | |||||||
Tyler Toffoli ![]() | RW | 27 | 4,600,000$ | 4,600,000$ |
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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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 56 | 12 | 17 | 27 | 0 | 63 | 15 | 16 | 36 | 7 | 1 | 14.29% | 8 | 4 | 50.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 41 | 23 | 43 | 17 | 35 | 18 | 60.0% | 7.1% | 90.5% | 97.6 | Unlucky | |
2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 1 | 29 | 9 | 9 | 11 | 4 | 31 | 7 | 6 | 16 | 5 | 2 | 40.00% | 3 | 1 | 66.67% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 23 | 13 | 21 | 9 | 19 | 10 | 25.0% | 10.3% | 87.1% | 97.4 | FUN | |
3 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 0.667 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 1 | 2 | 86 | 20 | 45 | 21 | 3 | 90 | 29 | 10 | 69 | 6 | 1 | 16.67% | 5 | 2 | 60.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 64 | 35 | 60 | 28 | 59 | 30 | 71.4% | 7.0% | 95.6% | 102.5 | DULL | |
4 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 1 | 1 | 32 | 8 | 6 | 18 | 4 | 33 | 9 | 8 | 30 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 23 | 12 | 20 | 9 | 21 | 11 | 66.7% | 9.4% | 93.9% | 103.3 | LUCKY | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 55 | 24 | 18 | 13 | 0 | 63 | 25 | 19 | 34 | 10 | 1 | 10.00% | 6 | 2 | 66.67% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 42 | 22 | 40 | 17 | 37 | 20 | 12.5% | 3.6% | 85.7% | 89.4 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 26 | 6 | 11 | 9 | 0 | 28 | 13 | 10 | 16 | 6 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 19 | 9 | 24 | 10 | 16 | 8 | 66.7% | 7.7% | 96.4% | 104.1 | DULL | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 20 | 11 | 5 | 4 | 0 | 29 | 16 | 10 | 14 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 20 | 10 | 21 | 9 | 18 | 9 | 0.0% | 5.0% | 89.7% | 94.7 | Unlucky | |
8 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 1 | 59 | 17 | 19 | 19 | 4 | 59 | 20 | 20 | 36 | 7 | 2 | 28.57% | 10 | 4 | 60.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 40 | 21 | 45 | 19 | 36 | 17 | 66.7% | 6.8% | 91.5% | 98.3 | DULL | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 32 | 8 | 12 | 12 | 0 | 34 | 13 | 12 | 11 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 20 | 11 | 22 | 8 | 17 | 8 | nan% | 3.1% | 94.1% | 97.2 | DULL | |
10 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 4 | 8 | -4 | 2 | 0.333 | 4 | 6 | 10 | 1 | 0 | 1 | 2 | 1 | 0 | 69 | 23 | 23 | 22 | 7 | 81 | 23 | 14 | 57 | 11 | 2 | 18.18% | 7 | 1 | 85.71% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 60 | 28 | 66 | 31 | 62 | 31 | 22.2% | 5.8% | 90.1% | 95.9 | Unlucky | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 34 | 13 | 5 | 14 | 5 | 31 | 8 | 2 | 20 | 4 | 2 | 50.00% | 1 | 1 | 0.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 23 | 12 | 21 | 9 | 19 | 10 | 0.0% | 5.9% | 90.3% | 96.2 | Unlucky | |
12 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 1 | 0 | 1 | 2 | 29 | 11 | 7 | 11 | 5 | 29 | 11 | 8 | 25 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 23 | 12 | 23 | 9 | 18 | 9 | 50.0% | 10.3% | 93.1% | 103.4 | LUCKY | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 11 | 11 | 11 | 0 | 33 | 12 | 8 | 19 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 21 | 12 | 20 | 9 | 17 | 8 | 66.7% | 6.1% | 97.0% | 103.0 | DULL | |
14 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 28 | 2 | 17 | 9 | 0 | 25 | 7 | 6 | 28 | 4 | 2 | 50.00% | 3 | 2 | 33.33% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 21 | 11 | 19 | 10 | 20 | 10 | 40.0% | 14.3% | 80.0% | 94.3 | FUN | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 8 | 15 | 0 | 0 | 3 | 1 | 3 | 0 | 54 | 15 | 15 | 24 | 0 | 50 | 19 | 12 | 42 | 9 | 4 | 44.44% | 7 | 1 | 85.71% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 42 | 23 | 41 | 18 | 35 | 18 | 75.0% | 13.0% | 96.0% | 109.0 | LUCKY | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 29 | 3 | 9 | 17 | 0 | 29 | 10 | 10 | 17 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 19 | 10 | 21 | 10 | 18 | 8 | 0.0% | 3.4% | 89.7% | 93.1 | Unlucky | |
17 | 4 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 12 | 9 | 3 | 7 | 0.875 | 12 | 20 | 32 | 0 | 0 | 3 | 4 | 4 | 1 | 121 | 40 | 36 | 45 | 5 | 118 | 49 | 30 | 67 | 11 | 3 | 27.27% | 15 | 3 | 80.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 80 | 42 | 89 | 39 | 75 | 37 | 60.0% | 9.9% | 92.4% | 102.3 | LUCKY | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 25 | 8 | 11 | 6 | 0 | 31 | 11 | 2 | 19 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 20 | 12 | 20 | 8 | 18 | 9 | 80.0% | 16.0% | 96.8% | 112.8 | LUCKY | |
19 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | -3 | 1 | 0.250 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 51 | 21 | 12 | 18 | 0 | 58 | 14 | 6 | 43 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 42 | 22 | 42 | 18 | 36 | 20 | 25.0% | 2.0% | 93.1% | 95.1 | DULL | |
20 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 6 | 0.750 | 8 | 15 | 23 | 0 | 0 | 1 | 2 | 5 | 0 | 120 | 44 | 32 | 44 | 0 | 109 | 55 | 18 | 62 | 20 | 2 | 10.00% | 10 | 2 | 80.00% | 1 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 89 | 50 | 79 | 37 | 71 | 37 | 66.7% | 6.7% | 95.4% | 102.1 | DULL | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 37 | 11 | 11 | 15 | 0 | 30 | 5 | 10 | 21 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 21 | 12 | 20 | 9 | 17 | 8 | 50.0% | 8.1% | 93.3% | 101.4 | DULL | |
22 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 2 | 1 | 88 | 35 | 19 | 33 | 1 | 94 | 39 | 18 | 56 | 9 | 3 | 33.33% | 9 | 0 | 100.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 63 | 36 | 65 | 26 | 51 | 25 | 30.0% | 6.8% | 92.6% | 99.4 | DULL | |
23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 0 | 47 | 13 | 19 | 15 | 0 | 58 | 16 | 12 | 33 | 6 | 1 | 16.67% | 6 | 2 | 66.67% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 36 | 18 | 45 | 20 | 38 | 17 | 80.0% | 10.6% | 94.8% | 105.5 | LUCKY | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 20 | 9 | 3 | 8 | 0 | 31 | 12 | 2 | 13 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 20 | 11 | 20 | 9 | 18 | 9 | 0.0% | 5.0% | 90.3% | 95.3 | Unlucky | |
25 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 3 | 0 | 4 | 0.667 | 3 | 4 | 7 | 0 | 1 | 0 | 1 | 1 | 1 | 71 | 21 | 18 | 31 | 3 | 61 | 12 | 16 | 54 | 14 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 61 | 28 | 58 | 31 | 64 | 33 | 50.0% | 4.2% | 95.1% | 99.3 | DULL | |
_Vs Division | 18 | 8 | 5 | 0 | 1 | 1 | 3 | 0 | 41 | 34 | 7 | 25 | 0.694 | 41 | 69 | 110 | 0 | 0 | 7 | 13 | 17 | 6 | 526 | 168 | 167 | 190 | 14 | 531 | 211 | 110 | 331 | 63 | 11 | 17.46% | 56 | 11 | 80.36% | 1 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 381 | 211 | 385 | 168 | 328 | 168 | 56.6% | 7.8% | 93.6% | 101.4 | DULL | |
_Vs Conference | 32 | 10 | 12 | 0 | 1 | 3 | 4 | 2 | 61 | 69 | -8 | 35 | 0.547 | 61 | 100 | 161 | 1 | 1 | 9 | 21 | 26 | 7 | 867 | 283 | 279 | 302 | 24 | 906 | 324 | 193 | 594 | 116 | 18 | 15.52% | 94 | 21 | 77.66% | 1 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 667 | 354 | 679 | 308 | 607 | 310 | 47.3% | 7.0% | 92.4% | 99.4 | DULL | |
_Since Last GM Reset | 45 | 15 | 16 | 0 | 2 | 3 | 5 | 4 | 92 | 97 | -5 | 51 | 0.567 | 92 | 148 | 240 | 2 | 1 | 17 | 30 | 38 | 10 | 1251 | 395 | 390 | 457 | 41 | 1298 | 450 | 285 | 838 | 161 | 34 | 21.12% | 141 | 34 | 75.89% | 1 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 946 | 509 | 955 | 431 | 848 | 432 | 47.9% | 7.4% | 92.5% | 99.9 | DULL | |
Total | 45 | 15 | 16 | 0 | 2 | 3 | 5 | 4 | 92 | 97 | -5 | 51 | 0.567 | 92 | 148 | 240 | 2 | 1 | 17 | 30 | 38 | 10 | 1251 | 395 | 390 | 457 | 41 | 1298 | 450 | 285 | 838 | 161 | 34 | 21.12% | 141 | 34 | 75.89% | 1 | 495 | 998 | 49.60% | 522 | 1012 | 51.58% | 301 | 557 | 54.04% | 946 | 509 | 955 | 431 | 848 | 432 | 47.9% | 7.4% | 92.5% | 99.9 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 998 |
Neutral Zone Start | 557 |
Defensive Zone Start | 1012 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1318 |
Faceoffs Lost | 1249 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.8 | 9.57 |
2nd Period | 17.4 | 20.31 |
3rd Period | 27.6 | 30.68 |
Overtime | 28.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.9 | 2.67 |
Overtime | 2.1 | 2.83 |
Even Strenght Goal | 55 |
---|---|
PP Goal | 34 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 12 | 10 |
Lost | 7 | 9 |
Overtime Lost | 4 | 3 |
PP Attempt | 161 |
---|---|
PP Goal | 34 |
PK Attempt | 141 |
PK Goal Against | 34 |
Home | |
---|---|
Shots For | 27.8 |
Shots Against | 28.8 |
Goals For | 2.0 |
Goals Against | 2.2 |
Hits | 18.6 |
Shots Blocked | 10.0 |
Pim | 6.3 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-25 | @ | Panthers1,Lightning2 | RECAP | ||
2020-10-27 | @ | Lightning2,Panthers1 | RECAP | ||
2020-10-28 | @ | Lightning0,Hurricanes2 | RECAP | ||
2020-11-01 | @ | Lightning3,Maple Leafs2 (SO) | RECAP | ||
2020-11-03 | @ | Lightning2,Senators1 (OT) | RECAP | ||
2020-11-06 | @ | Lightning3,Canadiens1 | RECAP | ||
2020-11-08 | @ | Lightning1,Bruins4 | RECAP | ||
2020-11-10 | @ | Avalanche2,Lightning1 | RECAP | ||
2020-11-14 | @ | Penguins5,Lightning4 (OT) | RECAP | ||
2020-11-17 | @ | Predators1,Lightning4 | RECAP | ||
2020-11-20 | @ | Lightning0,Rangers1 (OT) | RECAP | ||
2020-11-21 | @ | Lightning1,Devils2 | RECAP | ||
2020-11-23 | @ | Lightning2,Islanders6 | RECAP | ||
2020-11-30 | @ | Lightning2,Sabres1 (SO) | RECAP | ||
2020-12-01 | @ | Sabres1,Lightning2 | RECAP | ||
2020-12-06 | @ | Rangers3,Lightning1 | RECAP | ||
2020-12-08 | @ | Jets3,Lightning1 | RECAP | ||
2020-12-11 | @ | Lightning1,Blues3 | RECAP | ||
2020-12-13 | @ | Lightning1,Blackhawks3 | RECAP | ||
2020-12-15 | @ | Ducks4,Lightning3 (SO) | RECAP | ||
2020-12-17 | @ | Sabres5,Lightning4 (OT) | RECAP | ||
2020-12-19 | @ | Blues2,Lightning3 (OT) | RECAP | ||
2020-12-21 | @ | Lightning1,Capitals2 (SO) | RECAP | ||
2020-12-22 | @ | Hurricanes1,Lightning2 (SO) | RECAP | ||
2020-12-25 | @ | Lightning3,Predators1 | RECAP | ||
2020-12-27 | @ | Wild2,Lightning3 | RECAP | ||
2020-12-29 | @ | Sharks1,Lightning4 | RECAP | ||
2020-12-31 | @ | Islanders3,Lightning0 | RECAP | ||
2021-01-01 | @ | Lightning3,Panthers1 | RECAP | ||
2021-01-03 | @ | Bruins2,Lightning3 | RECAP | ||
2021-01-05 | @ | Capitals3,Lightning1 | RECAP | ||
2021-01-08 | @ | Senators2,Lightning1 | RECAP | ||
2021-01-10 | @ | Stars1,Lightning2 | RECAP | ||
2021-01-12 | @ | Lightning2,Capitals3 (SO) | RECAP | ||
2021-01-14 | @ | Panthers2,Lightning1 | RECAP | ||
2021-01-19 | @ | Canadiens1,Lightning2 (SO) | RECAP | ||
2021-01-20 | @ | Red Wings1,Lightning2 | RECAP | ||
2021-01-22 | @ | Lightning4,Sabres2 | RECAP | ||
2021-01-24 | @ | Lightning1,Canadiens2 | RECAP | ||
2021-01-26 | @ | Lightning3,Senators4 | RECAP | ||
2021-01-27 | @ | Lightning1,Hurricanes0 | RECAP | ||
2021-01-29 | @ | Canucks3,Lightning2 (SO) | RECAP | ||
2021-01-31 | @ | Coyotes2,Lightning3 (SO) | RECAP | ||
2021-02-02 | @ | Lightning1,Flyers3 | RECAP | ||
2021-02-03 | @ | Lightning4,Devils1 | RECAP | ||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
71,954,125$ | 0$ | 71,954,125$ | 9,545,875$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | St Petes Times Forum | |
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 | 128906 | 107320 | 43449 | 87009 | 21867 |
Attendance PCT | 93.41% | 93.32% | 94.45% | 94.58% | 95.07% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
18 | 16894 - 93.85% | 607,546$ | 13,973,563$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
71,954,125$ | 71,954,125$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
40,206,862$ | 71,954,125$ | 40,206,862$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
10,935,832$ | 82 | 386,850$ | 31,721,700$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
31,721,700$ | 71,954,125$ | -352,603,443$ | -373,389,311$ |
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 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
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 |
---|---|---|---|---|---|
1 ballo tb 2021 | |||||
2 ballo tb 2021 | |||||
Alexander Kadeykin | |||||
Alexander Pashin | 2020 | 199 | |||
Aliaksei Protas | 2019 | 98 | |||
Artyom Galimov | 2020 | 100 | |||
Brady Austin | |||||
Bret Berard | 2020 | 137 | |||
Cam Dineen | 2016 | 58 | |||
Chase Lang | |||||
Chris Leblanc | |||||
Colin Smith | |||||
David Desharnais | |||||
David Drake | |||||
Felix Sandstrom | |||||
Francis Perron | |||||
Frederic Allard | 2016 | 52 | |||
Jake Massie | |||||
Jaydon Dureau | 2020 | 148 | |||
Jordan Spence | 2019 | 67 | |||
Joseph Cecconi | |||||
Liam Kirk | 2018 | 199 | |||
Marek Hrivik | |||||
Martin Has | 2019 | 160 | |||
Martin Pospisil | 2018 | 86 | |||
Matias Mantykivi | 2019 | 191 | |||
Matt Halischuk | |||||
Matt Lorito | |||||
Matthew Kessel | 2020 | 152 | |||
Maxwell Crozier | 2019 | 131 | |||
Michael Prapavessis | |||||
Mikael Pyythia | 2020 | 96 | |||
Mitchell Miller | 2020 | 119 | |||
Nick Leivermann | |||||
Peter Diliberatore | 2018 | 187 | |||
Roman Horak | |||||
Ryan Spooner | Link | ||||
Ryan Suzuki | 2019 | 18 | |||
Seth Barton | 2018 | 89 | |||
Spencer Watson | |||||
Stephane Da Costa | |||||
Ty Rattie | Link | ||||
Yegor Sharangovich | 2018 | 119 | |||
brian cooper | |||||
jaynen rissling | |||||
michal repik |
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