|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Full Scoreboard »» |
Tampa Bay Lightning 2-3-0, 4pts · 14th 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 | 100.00 | 85 | 91 | 83 | 78 | 83 | 72 | 97 | 71 | 90 | 73 | 70 | 84 | 25 | 74 | 76 | 76 | 50 | 0 | 29 | 3,250,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 42 | 90 | 86 | 76 | 74 | 82 | 78 | 25 | 84 | 78 | 63 | 38 | 74 | 78 | 76 | 50 | 0 | 27 | 5,500,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 43 | 92 | 79 | 72 | 61 | 85 | 75 | 25 | 72 | 74 | 57 | 53 | 59 | 60 | 72 | 56 | 0 | 21 | 894,167$/2yrs | |||
![]() | 0 | C | 99.00 | 69 | 43 | 92 | 87 | 77 | 85 | 92 | 91 | 98 | 80 | 92 | 75 | 61 | 76 | 76 | 85 | 50 | 0 | 27 | 5,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 43 | 85 | 84 | 71 | 77 | 90 | 82 | 91 | 74 | 74 | 76 | 63 | 61 | 61 | 76 | 50 | 0 | 22 | 1,775,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 75 | 65 | 83 | 73 | 65 | 51 | 53 | 59 | 65 | 53 | 66 | 63 | 42 | 49 | 49 | 52 | 50 | 0 | 29 | 975,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 68 | 63 | 79 | 78 | 63 | 62 | 62 | 67 | 50 | 61 | 64 | 67 | 61 | 65 | 65 | 66 | 50 | 0 | 28 | 750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 75 | 44 | 88 | 79 | 80 | 67 | 95 | 71 | 96 | 65 | 70 | 78 | 61 | 93 | 99 | 72 | 50 | 0 | 37 | 3,125,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 78 | 75 | 84 | 60 | 75 | 67 | 68 | 66 | 50 | 54 | 74 | 67 | 70 | 44 | 44 | 69 | 53 | 0 | 26 | 762,500$/2yrs | |||
![]() | 0 | LW/RW | 99.00 | 71 | 43 | 86 | 86 | 74 | 75 | 97 | 80 | 34 | 83 | 71 | 62 | 66 | 77 | 79 | 74 | 50 | 0 | 29 | 5,900,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 42 | 87 | 82 | 76 | 69 | 88 | 70 | 72 | 75 | 81 | 64 | 25 | 67 | 68 | 76 | 56 | 0 | 23 | 2,300,000$/1yrs | |||
![]() | 0 | LW/RW | 99.00 | 59 | 41 | 89 | 90 | 71 | 79 | 99 | 91 | 39 | 85 | 92 | 65 | 41 | 70 | 72 | 84 | 50 | 0 | 26 | 6,962,366$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 67 | 84 | 88 | 67 | 58 | 63 | 68 | 75 | 59 | 45 | 60 | 37 | 57 | 57 | 52 | 50 | 0 | 20 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 94 | 47 | 80 | 75 | 75 | 68 | 68 | 60 | 25 | 50 | 48 | 75 | 25 | 65 | 65 | 61 | 50 | 0 | 27 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 57 | 88 | 68 | 85 | 77 | 77 | 62 | 25 | 54 | 47 | 78 | 25 | 61 | 61 | 62 | 50 | 0 | 29 | 762,500$/2yrs | |||
![]() | 0 | D | 100.00 | 91 | 46 | 72 | 74 | 73 | 69 | 57 | 58 | 25 | 47 | 49 | 87 | 45 | 73 | 74 | 62 | 50 | 0 | 35 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 56 | 85 | 74 | 80 | 81 | 92 | 60 | 25 | 54 | 48 | 93 | 25 | 66 | 67 | 66 | 50 | 0 | 30 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 85 | 58 | 81 | 66 | 72 | 65 | 60 | 61 | 25 | 44 | 47 | 87 | 25 | 63 | 63 | 61 | 50 | 0 | 30 | 2,250,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 65 | 41 | 91 | 82 | 67 | 68 | 93 | 73 | 31 | 78 | 59 | 63 | 38 | 71 | 72 | 68 | 50 | 0 | 32 | 5,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 88 | 89 | 79 | 69 | 90 | 57 | 74 | 60 | 69 | 56 | 57 | 77 | 25 | 59 | 60 | 64 | 50 | 0 | 27 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 43 | 85 | 81 | 67 | 68 | 64 | 73 | 55 | 70 | 72 | 64 | 75 | 68 | 68 | 72 | 50 | 0 | 26 | 4,725,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 77 | 73 | 87 | 63 | 73 | 67 | 69 | 61 | 50 | 56 | 61 | 65 | 58 | 46 | 46 | 64 | 50 | 0 | 26 | 750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 71 | 43 | 93 | 73 | 74 | 62 | 79 | 65 | 46 | 63 | 75 | 66 | 25 | 65 | 65 | 71 | 50 | 0 | 26 | 762,500$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 90 | 54 | 63 | 90 | 78 | 86 | 48 | 25 | 40 | 39 | 66 | 37 | 56 | 56 | 53 | 50 | 0 | 30 | 750,000$/1yrs | |||
TEAM AVERAGE | 99.88 | 76 | 56 | 84 | 77 | 75 | 69 | 79 | 69 | 50 | 64 | 65 | 71 | 44 | 65 | 66 | 68 | 51 | 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 | 98.00 | 59 | 54 | 54 | 70 | 65 | 52 | 83 | 62 | 65 | 59 | 95 | 56 | 57 | 63 | 50 | 0 | 27 | 5,000,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 98.00 | 74 | 57 | 60 | 79 | 79 | 68 | 84 | 75 | 80 | 74 | 92 | 74 | 77 | 74 | 50 | 0 | 34 | 5,000,000$/1yrs |
TEAM AVERAGE | 98.00 | 67 | 56 | 57 | 75 | 72 | 60 | 84 | 69 | 73 | 67 | 94 | 65 | 67 | 69 | 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 | D | 100.00 | 75 | 76 | 74 | 64 | 76 | 59 | 61 | 52 | 25 | 49 | 41 | 62 | 39 | 44 | 44 | 54 | 52 | 0 | 22 | 925,000$/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 |
---|
General Manager | Francis Bourque |
---|
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 | Bo Horvat | 0 | C | 5 | 1 | 7 | 8 | 1 | 0 | 0 | 6 | 27 | 8 | 8 | 3.70% | 4 | 22.36 | 0 | 2 | 2 | 8 | 0 | 0 | 0 | 11 | 0 | 0 | 56.25% | 160 | 5 | 2 | 0 | 0 | 1.43 | 0 | 0 | ||
2 | William Nylander | 0 | LW/RW | 5 | 5 | 2 | 7 | 1 | 2 | 0 | 7 | 31 | 9 | 17 | 16.13% | 2 | 21.32 | 1 | 1 | 2 | 8 | 0 | 0 | 0 | 6 | 0 | 1 | 16.67% | 6 | 10 | 4 | 0 | 0 | 1.31 | 0 | 0 | ||
3 | Andre Burakovsky | 0 | LW/RW | 5 | 2 | 4 | 6 | 2 | 2 | 0 | 6 | 16 | 2 | 14 | 12.50% | 0 | 19.49 | 1 | 0 | 1 | 7 | 0 | 0 | 0 | 4 | 1 | 0 | 12.50% | 8 | 5 | 1 | 0 | 0 | 1.23 | 0 | 0 | ||
4 | Adam Lowry | 0 | C | 5 | 1 | 4 | 5 | 4 | 0 | 0 | 3 | 8 | 2 | 7 | 12.50% | 1 | 11.59 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 8 | 1 | 0 | 61.76% | 34 | 1 | 2 | 0 | 0 | 1.73 | 0 | 0 | ||
5 | Jonathan Huberdeau | 0 | LW/RW | 5 | 1 | 3 | 4 | -4 | 6 | 0 | 8 | 17 | 3 | 9 | 5.88% | 3 | 18.23 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 6 | 2 | 1 | 0 | 0 | 0.88 | 0 | 0 | ||
6 | Filip Chytil | 0 | C/LW | 4 | 2 | 1 | 3 | 1 | 2 | 0 | 2 | 13 | 7 | 5 | 15.38% | 0 | 12.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.00% | 25 | 6 | 0 | 0 | 0 | 1.16 | 0 | 0 | ||
7 | Arthur Kaliyev | 0 | LW/RW | 4 | 0 | 2 | 2 | -2 | 0 | 0 | 3 | 7 | 3 | 6 | 0.00% | 2 | 11.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 1 | 0 | 0 | 0 | 0.85 | 0 | 0 | ||
8 | Jeff Carter | 0 | C/RW | 5 | 1 | 1 | 2 | 0 | 0 | 0 | 4 | 8 | 2 | 6 | 12.50% | 1 | 12.24 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 2 | 1 | 2 | 0 | 0 | 0.65 | 0 | 0 | ||
9 | Barrett Hayton | 0 | C/LW | 5 | 1 | 0 | 1 | -1 | 0 | 0 | 5 | 13 | 1 | 5 | 7.69% | 2 | 15.56 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 11 | 0 | 0 | 51.52% | 33 | 4 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
10 | Kevin Labanc | 0 | LW/RW | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 10 | 2 | 4 | 10.00% | 0 | 12.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 40.00% | 10 | 1 | 3 | 0 | 0 | 0.53 | 0 | 0 | ||
11 | Jaycob Megna | 0 | D | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 3 | 0 | 3 | 0.00% | 3 | 20.61 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 1 | 5 | 0 | 0 | 0.19 | 0 | 0 | ||
12 | Evgeni Dadonov | 0 | LW/RW | 2 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 1 | 0 | 3 | 0.00% | 1 | 11.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 2 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Justin Danforth | 0 | C/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0.00% | 1 | 11.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Jamie Drysdale | 0 | D | 5 | 0 | 0 | 0 | 1 | 2 | 0 | 6 | 3 | 2 | 2 | 0.00% | 3 | 13.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Drake Caggiula | 0 | LW/RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 2 | 0.00% | 1 | 10.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Michael McCarron | 0 | C/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 0 | 9.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Robert Hagg | 0 | D | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 2 | 0 | 0.00% | 6 | 15.10 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 2 | 4 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Bobby McMann | 0 | LW/RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 1 | 2 | 0.00% | 1 | 8.93 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Jordie Benn | 0 | D | 5 | 0 | 0 | 0 | -1 | 6 | 0 | 10 | 7 | 1 | 1 | 0.00% | 5 | 26.13 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 1 | 2 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Michael Amadio | 0 | C/LW/RW | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 4 | 2 | 4 | 0.00% | 0 | 8.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Justin Holl | 0 | D | 5 | 0 | 0 | 0 | 0 | 4 | 0 | 7 | 4 | 6 | 1 | 0.00% | 9 | 26.91 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 1 | 6 | 0 | 0 | 0.00 | 0 | 0 | ||
22 | Radim Simek | 0 | D | 5 | 0 | 0 | 0 | -1 | 4 | 0 | 7 | 5 | 2 | 2 | 0.00% | 4 | 17.29 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 1 | 3 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 90 | 15 | 25 | 40 | -2 | 28 | 0 | 102 | 187 | 56 | 102 | 8.02% | 49 | 16.40 | 2 | 4 | 6 | 73 | 0 | 0 | 0 | 98 | 2 | 1 | 52.40% | 292 | 46 | 42 | 0 | 0 | 0.54 | 0 | 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 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 | Semyon Varlamov | 4 | 2 | 2 | 0 | 0.927 | 2.52 | 238 | 0 | 0 | 10 | 137 | 67 | 0 | 1 | 0.000 | 0 | 4 | 1 | 0 | 0 | 0 | |
2 | Cal Petersen | 1 | 0 | 1 | 0 | 0.833 | 5.00 | 60 | 0 | 0 | 5 | 30 | 19 | 0 | 0 | 0.000 | 0 | 1 | 4 | 0 | 0 | 0 | |
Team Total or Average | 5 | 2 | 3 | 0 | 0.910 | 3.02 | 298 | 0 | 0 | 15 | 167 | 86 | 0 | 1 | 0.000 | 0 | 5 | 5 | 0 | 0 | 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 |
# | 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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 39 | 18 | 3 | 18 | 0 | 38 | 14 | 4 | 24 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 21 | 12 | 21 | 8 | 17 | 7 | 33.3% | 2.6% | 92.1% | 94.7 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 36 | 11 | 14 | 11 | 0 | 30 | 7 | 4 | 17 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 21 | 13 | 22 | 8 | 16 | 7 | 42.9% | 8.3% | 83.3% | 91.7 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 4 | 0 | 34 | 15 | 3 | 16 | 0 | 37 | 9 | 4 | 19 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 22 | 13 | 21 | 9 | 16 | 7 | 66.7% | 14.7% | 94.6% | 109.3 | LUCKY | |
4 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 2 | 2 | 1 | 1 | 78 | 20 | 22 | 35 | 1 | 63 | 19 | 16 | 42 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 41 | 24 | 43 | 18 | 35 | 16 | 50.0% | 7.7% | 90.5% | 98.2 | Unlucky | |
_Vs Division | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 15 | 16 | -1 | 4 | 0.400 | 15 | 25 | 40 | 1 | 0 | 3 | 4 | 7 | 1 | 187 | 64 | 42 | 80 | 1 | 168 | 49 | 28 | 102 | 10 | 2 | 20.00% | 14 | 3 | 78.57% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 105 | 63 | 108 | 44 | 85 | 40 | 50.0% | 8.0% | 90.5% | 98.5 | Unlucky | |
_Vs Conference | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 15 | 16 | -1 | 4 | 0.400 | 15 | 25 | 40 | 1 | 0 | 3 | 4 | 7 | 1 | 187 | 64 | 42 | 80 | 1 | 168 | 49 | 28 | 102 | 10 | 2 | 20.00% | 14 | 3 | 78.57% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 105 | 63 | 108 | 44 | 85 | 40 | 50.0% | 8.0% | 90.5% | 98.5 | Unlucky | |
_Since Last GM Reset | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 15 | 16 | -1 | 4 | 0.400 | 15 | 25 | 40 | 1 | 0 | 3 | 4 | 7 | 1 | 187 | 64 | 42 | 80 | 1 | 168 | 49 | 28 | 102 | 10 | 2 | 20.00% | 14 | 3 | 78.57% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 105 | 63 | 108 | 44 | 85 | 40 | 50.0% | 8.0% | 90.5% | 98.5 | Unlucky | |
Total | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 15 | 16 | -1 | 4 | 0.400 | 15 | 25 | 40 | 1 | 0 | 3 | 4 | 7 | 1 | 187 | 64 | 42 | 80 | 1 | 168 | 49 | 28 | 102 | 10 | 2 | 20.00% | 14 | 3 | 78.57% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 105 | 63 | 108 | 44 | 85 | 40 | 50.0% | 8.0% | 90.5% | 98.5 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 107 |
Neutral Zone Start | 75 |
Defensive Zone Start | 108 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 153 |
Faceoffs Lost | 137 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.8 | 9.57 |
2nd Period | 21.2 | 20.31 |
3rd Period | 37.2 | 30.68 |
Overtime | 37.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 12 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 1 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 10 |
---|---|
PP Goal | 2 |
PK Attempt | 14 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 37.4 |
Shots Against | 33.6 |
Goals For | 3.0 |
Goals Against | 3.2 |
Hits | 20.4 |
Shots Blocked | 9.8 |
Pim | 5.6 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 82,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 26 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Lowry ![]() | C | 29 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||
Andre Burakovsky ![]() | LW/RW | 27 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||
Arthur Kaliyev ![]() | LW/RW | 21 | 894,167$ | 894,167$ | 894,167$ | ||||||
Barrett Hayton ![]() | C/LW | 22 | 1,775,000$ | 1,775,000$ | 1,775,000$ | ||||||
Bo Horvat ![]() | C | 27 | 5,500,000$ | 5,500,000$ | |||||||
Bobby McMann ![]() | LW/RW | 26 | 762,500$ | 762,500$ | 762,500$ | ||||||
Cal Petersen ![]() | G | 27 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Drake Caggiula ![]() | LW/RW | 28 | 750,000$ | 750,000$ | |||||||
Dylan McIlrath ![]() | D | 30 | 750,000$ | 750,000$ | |||||||
Evgeni Dadonov ![]() | LW/RW | 32 | 5,000,000$ | 5,000,000$ | |||||||
Filip Chytil ![]() | C/LW | 23 | 2,300,000$ | 2,300,000$ | |||||||
Jamie Drysdale ![]() | D | 20 | 925,000$ | 925,000$ | |||||||
Jaycob Megna ![]() | D | 29 | 762,500$ | 762,500$ | 762,500$ | ||||||
Jeff Carter ![]() | C/RW | 37 | 3,125,000$ | 3,125,000$ | 3,125,000$ | ||||||
Jonathan Huberdeau ![]() | LW/RW | 29 | 5,900,000$ | 5,900,000$ | |||||||
Jordie Benn ![]() | D | 35 | 750,000$ | 750,000$ | |||||||
Justin Danforth ![]() | C/RW | 29 | 975,000$ | 975,000$ | 975,000$ | ||||||
Justin Holl ![]() | D | 30 | 2,000,000$ | 2,000,000$ | |||||||
Justin Kirkland ![]() | LW/RW | 26 | 750,000$ | 750,000$ | |||||||
Kevin Labanc ![]() | LW/RW | 26 | 4,725,000$ | 4,725,000$ | 4,725,000$ | ||||||
Michael Amadio ![]() | C/LW/RW | 26 | 762,500$ | 762,500$ | 762,500$ | ||||||
Michael McCarron ![]() | C/RW | 27 | 750,000$ | 750,000$ | |||||||
Radim Simek ![]() | D | 30 | 2,250,000$ | 2,250,000$ | 2,250,000$ | ||||||
Robert Hagg ![]() | D | 27 | 800,000$ | 800,000$ | |||||||
Semyon Varlamov ![]() | G | 34 | 5,000,000$ | 5,000,000$ | |||||||
William Nylander ![]() | LW/RW | 26 | 6,962,366$ | 6,962,366$ | 6,962,366$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 39 | 18 | 3 | 18 | 0 | 38 | 14 | 4 | 24 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 21 | 12 | 21 | 8 | 17 | 7 | 33.3% | 2.6% | 92.1% | 94.7 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 36 | 11 | 14 | 11 | 0 | 30 | 7 | 4 | 17 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 21 | 13 | 22 | 8 | 16 | 7 | 42.9% | 8.3% | 83.3% | 91.7 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 4 | 0 | 34 | 15 | 3 | 16 | 0 | 37 | 9 | 4 | 19 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 22 | 13 | 21 | 9 | 16 | 7 | 66.7% | 14.7% | 94.6% | 109.3 | LUCKY | |
4 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 2 | 2 | 1 | 1 | 78 | 20 | 22 | 35 | 1 | 63 | 19 | 16 | 42 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 41 | 24 | 43 | 18 | 35 | 16 | 50.0% | 7.7% | 90.5% | 98.2 | Unlucky | |
_Vs Division | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 15 | 16 | -1 | 4 | 0.400 | 15 | 25 | 40 | 1 | 0 | 3 | 4 | 7 | 1 | 187 | 64 | 42 | 80 | 1 | 168 | 49 | 28 | 102 | 10 | 2 | 20.00% | 14 | 3 | 78.57% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 105 | 63 | 108 | 44 | 85 | 40 | 50.0% | 8.0% | 90.5% | 98.5 | Unlucky | |
_Vs Conference | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 15 | 16 | -1 | 4 | 0.400 | 15 | 25 | 40 | 1 | 0 | 3 | 4 | 7 | 1 | 187 | 64 | 42 | 80 | 1 | 168 | 49 | 28 | 102 | 10 | 2 | 20.00% | 14 | 3 | 78.57% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 105 | 63 | 108 | 44 | 85 | 40 | 50.0% | 8.0% | 90.5% | 98.5 | Unlucky | |
_Since Last GM Reset | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 15 | 16 | -1 | 4 | 0.400 | 15 | 25 | 40 | 1 | 0 | 3 | 4 | 7 | 1 | 187 | 64 | 42 | 80 | 1 | 168 | 49 | 28 | 102 | 10 | 2 | 20.00% | 14 | 3 | 78.57% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 105 | 63 | 108 | 44 | 85 | 40 | 50.0% | 8.0% | 90.5% | 98.5 | Unlucky | |
Total | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 15 | 16 | -1 | 4 | 0.400 | 15 | 25 | 40 | 1 | 0 | 3 | 4 | 7 | 1 | 187 | 64 | 42 | 80 | 1 | 168 | 49 | 28 | 102 | 10 | 2 | 20.00% | 14 | 3 | 78.57% | 0 | 56 | 107 | 52.34% | 53 | 108 | 49.07% | 44 | 75 | 58.67% | 105 | 63 | 108 | 44 | 85 | 40 | 50.0% | 8.0% | 90.5% | 98.5 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 107 |
Neutral Zone Start | 75 |
Defensive Zone Start | 108 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 153 |
Faceoffs Lost | 137 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.8 | 9.57 |
2nd Period | 21.2 | 20.31 |
3rd Period | 37.2 | 30.68 |
Overtime | 37.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 12 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 1 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 10 |
---|---|
PP Goal | 2 |
PK Attempt | 14 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 37.4 |
Shots Against | 33.6 |
Goals For | 3.0 |
Goals Against | 3.2 |
Hits | 20.4 |
Shots Blocked | 9.8 |
Pim | 5.6 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-08-12 | @ | Lightning4,Panthers3 (OT) | RECAP | ||
2023-08-13 | @ | Panthers3,Lightning2 | RECAP | ||
2023-08-15 | @ | Senators2,Lightning5 | RECAP | ||
2023-08-17 | @ | Lightning1,Red Wings3 | RECAP | ||
2023-08-19 | @ | Lightning3,Maple Leafs5 | RECAP | ||
2023-08-21 | @ | ||||
2023-08-23 | @ | ||||
2023-08-24 | @ | ||||
2023-08-26 | @ | ||||
2023-08-27 | @ | ||||
2023-08-29 | @ | ||||
2023-08-30 | @ | ||||
2023-09-02 | @ | ||||
2023-09-03 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
67,919,033$ | 0$ | 0$ | 82,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Amalie Arena | |
City | Tampa Bay | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
5 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
67,919,033$ | 67,919,033$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 16 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | -471,749,625$ | -471,749,625$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo tbl 2023 | |||||
Aaron Ness | Link | ||||
Anton Johansson | 2022 | 118 | |||
Arsen Khisamutdinov | 2019 | 185 | |||
Artem Barabosha | 2022 | 205 | |||
Bogdan Trineyev | 2020 | 125 | |||
Bulat Shafigulin | |||||
Caden Price | 2023 | 75 | |||
Carter Hutton | Link | ||||
Colten Ellis | 2019 | 67 | |||
Corban Knight | Link | ||||
Emil Martinsen Lilleberg | 2021 | 127 | |||
Eric Pohlkamp | 2023 | 139 | |||
Ethan Phillips | 2019 | 109 | |||
Francesco Pinelli | 2021 | 31 | |||
Garlin Bjorklund | 2020 | 187 | |||
Greg McKegg | Link | ||||
Hunter Jones | 2019 | 60 | |||
Isaiah George | 2022 | 109 | |||
Ivan Morosov | |||||
Ivan Vorobyov | 2021 | 206 | |||
Jack Hughes | 2022 | 45 | |||
Janne Peltonen | 2023 | 203 | |||
Joakim Kemell | 2022 | 13 | |||
Jonathan Ang | |||||
Joonas Donskoi | Link | ||||
Josh Filmon | 2022 | 173 | |||
Justin Ertel | 2021 | 95 | |||
Justin Kipkie | 2023 | 171 | |||
Justin Sourdif | 2020 | 80 | |||
Kasper Bjorkqvist | Link | ||||
Kevin Connauton | Link | ||||
Konnor Smith | 2023 | 107 | |||
Korbinian Holzer | Link | ||||
Lukas Dragicevic | 2023 | 43 | |||
Lukas Svejkovsky | 2020 | 115 | |||
Maximilian Kilpinen | 2022 | 141 | |||
Melker Karlsson | Link | ||||
Mirco Mueller | Link | ||||
Nicholas Porco | 2019 | 160 | |||
Oliver Moore | 2023 | 11 | |||
Oliver Tarnstrom | 2020 | 103 | |||
Pascal Laberge | |||||
Pasquale Zito | 2021 | 176 | |||
Paul Ludwinski | 2022 | 54 | |||
Reece Newkirk | 2019 | 161 | |||
Ryan Mast | 2021 | 191 | |||
Samuel Sjolund | 2019 | 126 | |||
Seth Barton | |||||
Shamil Shmakov | |||||
Tyson Galloway | 2021 | 159 | |||
Vili Saarijarvi |
|