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Full Scoreboard >> |
![]() | Burlington Thunder 1-0-0, 2pts · 7th in Canadian Conference |
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 | 39 | 38 | 80 | 16 | 64 | 88 | 88 | 99 | 79 | 99 | 87 | 41 | 63 | 67 | 67 | 86 | 75 | 86 | 23 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 43 | 39 | 85 | 18 | 68 | 86 | 93 | 95 | 79 | 97 | 86 | 55 | 77 | 70 | 72 | 86 | 75 | 86 | 24 | 6,300,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 46 | 38 | 82 | 24 | 61 | 77 | 90 | 79 | 32 | 78 | 87 | 75 | 41 | 72 | 75 | 79 | 75 | 79 | 29 | 3,350,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 32 | 38 | 81 | 18 | 70 | 69 | 84 | 85 | 35 | 85 | 88 | 47 | 41 | 69 | 72 | 79 | 75 | 79 | 25 | 3,250,000$/1yrs | |||
![]() | 0 | C | 100.00 | 36 | 48 | 77 | 20 | 73 | 88 | 94 | 82 | 84 | 85 | 86 | 43 | 79 | 70 | 72 | 78 | 75 | 78 | 27 | 6,125,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 60 | 49 | 81 | 24 | 68 | 74 | 92 | 78 | 30 | 82 | 86 | 61 | 45 | 68 | 70 | 78 | 75 | 78 | 27 | 3,750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 96 | 85 | 63 | 28 | 80 | 78 | 83 | 77 | 37 | 75 | 85 | 72 | 25 | 70 | 73 | 78 | 75 | 78 | 26 | 5,166,666$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 46 | 39 | 83 | 28 | 62 | 73 | 87 | 84 | 44 | 73 | 86 | 47 | 61 | 68 | 68 | 75 | 75 | 75 | 24 | 650,000$/2yrs | |||
![]() | 0 | C | 100.00 | 50 | 38 | 83 | 31 | 57 | 63 | 91 | 76 | 85 | 75 | 84 | 70 | 25 | 60 | 61 | 74 | 75 | 74 | 24 | 675,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 36 | 38 | 86 | 41 | 62 | 62 | 62 | 64 | 25 | 71 | 84 | 81 | 25 | 73 | 74 | 72 | 75 | 72 | 32 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 62 | 39 | 74 | 37 | 49 | 65 | 68 | 70 | 46 | 79 | 81 | 63 | 55 | 69 | 70 | 71 | 75 | 71 | 32 | 450,000$/1yrs | |||
![]() | 0 | C | 100.00 | 50 | 39 | 83 | 44 | 63 | 57 | 64 | 66 | 86 | 66 | 79 | 77 | 25 | 47 | 47 | 70 | 75 | 70 | 23 | 833,333$/1yrs | |||
![]() | 0 | D | 100.00 | 53 | 39 | 81 | 34 | 57 | 88 | 83 | 90 | 25 | 95 | 77 | 85 | 63 | 71 | 74 | 86 | 75 | 86 | 29 | 6,875,000$/3yrs | |||
![]() | 0 | D | 100.00 | 69 | 50 | 79 | 46 | 75 | 80 | 87 | 71 | 25 | 70 | 74 | 98 | 25 | 66 | 68 | 82 | 75 | 82 | 23 | 789,167$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 40 | 85 | 41 | 74 | 88 | 93 | 84 | 25 | 89 | 75 | 86 | 25 | 65 | 66 | 80 | 75 | 80 | 26 | 5,800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 58 | 73 | 38 | 76 | 80 | 90 | 86 | 25 | 88 | 79 | 71 | 75 | 62 | 64 | 79 | 75 | 79 | 22 | 894,166$/3yrs | |||
![]() | 0 | D | 100.00 | 43 | 46 | 83 | 39 | 50 | 83 | 93 | 88 | 25 | 93 | 75 | 61 | 25 | 62 | 63 | 75 | 75 | 75 | 22 | 728,333$/3yrs | |||
![]() | 0 | D | 100.00 | 60 | 50 | 76 | 51 | 73 | 72 | 77 | 75 | 25 | 80 | 76 | 74 | 25 | 58 | 59 | 72 | 75 | 72 | 23 | 863,333$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 62 | 50 | 76 | 44 | 74 | 81 | 90 | 81 | 25 | 82 | 78 | 65 | 25 | 66 | 67 | 72 | 75 | 72 | 26 | 5,250,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 53 | 45 | 80 | 33 | 66 | 76 | 85 | 81 | 44 | 82 | 82 | 67 | 43 | 66 | 67 | 77 | 75 | 77 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 74 | 54 | 58 | 69 | 99 | 90 | 82 | 97 | 99 | 96 | 87 | 80 | 83 | 74 | 75 | 74 | 39 | 562,500$/1yrs |
![]() | 0 | 100.00 | 76 | 88 | 87 | 70 | 95 | 95 | 87 | 95 | 95 | 95 | 84 | 82 | 88 | 73 | 75 | 73 | 35 | 6,550,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 65 | 54 | 68 | 74 | 87 | 84 | 92 | 95 | 89 | 90 | 30 | 44 | 44 | 71 | 75 | 71 | 30 | 450,000$/1yrs |
TEAM AVERAGE | 100.00 | 72 | 65 | 71 | 71 | 94 | 90 | 87 | 96 | 94 | 94 | 67 | 69 | 72 | 73 | 75 | 73 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Ralph Krueger | 79 | 83 | 81 | 87 | 90 | 84 | 55 | CHE | 60 | 2 | 0$ |
General Manager | Bryan Bruce |
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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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mark Scheifele | ![]() | 0 | C | 1 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 3 | 0 | 5 | 33.33% | 0 | 15.65 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 66.67% | 12 | 0 | 0 | 0 | 0 | 2.56 | 0 | 0 |
2 | Tanner Pearson | ![]() | 0 | LW | 1 | 0 | 2 | 2 | 0 | 0 | 0 | 5 | 3 | 0 | 1 | 0.00% | 0 | 15.65 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 2.56 | 0 | 0 |
3 | Mitchell Stephens | ![]() | 0 | C | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 7.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71.43% | 7 | 0 | 0 | 0 | 0 | 2.65 | 0 | 0 |
4 | Nathan Gerbe | ![]() | 0 | C/LW/RW | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 2 | 4 | 1 | 1 | 25.00% | 0 | 10.28 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.94 | 0 | 0 |
5 | Reilly Smith | ![]() | 0 | LW/RW | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 3 | 1 | 0 | 33.33% | 0 | 19.25 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 1.04 | 0 | 0 |
6 | Esa Lindell | ![]() | 0 | D | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 5 | 2 | 1 | 0 | 0.00% | 5 | 26.17 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.76 | 0 | 0 |
7 | Anthony Duclair | ![]() | 0 | LW/RW | 1 | 1 | 0 | 1 | -1 | 0 | 0 | 0 | 5 | 0 | 1 | 20.00% | 0 | 10.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.86 | 0 | 0 |
8 | Lucas Wallmark | ![]() | 0 | C | 1 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 1 | 0 | 1 | 0.00% | 0 | 16.15 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 64.29% | 14 | 0 | 0 | 0 | 0 | 1.24 | 0 | 0 |
9 | Mikhail Sergachyov | ![]() | 0 | D | 1 | 0 | 1 | 1 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 15.73 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.27 | 0 | 0 |
10 | Samuel Girard | ![]() | 0 | D | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 1 | 17.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2 | 0 | 0 | 0 | 1.14 | 0 | 0 |
11 | Connor McDavid | ![]() | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 3 | 0.00% | 0 | 17.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61.11% | 18 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
12 | Michael Grabner | ![]() | 0 | LW/RW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 0 | 0 | 0.00% | 0 | 12.92 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
13 | Brandon Carlo | ![]() | 0 | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 2 | 0 | 0 | 0.00% | 1 | 23.62 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
14 | Ryan Ellis | ![]() | 0 | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 2 | 0.00% | 0 | 21.25 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
15 | Tom Wilson | ![]() | 0 | RW | 1 | 0 | 0 | 0 | -1 | 2 | 0 | 1 | 1 | 1 | 0 | 0.00% | 0 | 11.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
16 | Andre Burakovsky | ![]() | 0 | LW/RW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 18.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
17 | Nathan MacKinnon | ![]() | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 0 | 2 | 0.00% | 1 | 17.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Travis Dermott | ![]() | 0 | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 1 | 16.45 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 18 | 4 | 8 | 12 | 0 | 6 | 0 | 26 | 32 | 6 | 16 | 12.50% | 9 | 16.33 | 1 | 2 | 3 | 36 | 0 | 0 | 0 | 23 | 1 | 1 | 58.93% | 56 | 3 | 4 | 0 | 0 | 0.82 | 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 | Marc-Andre Fleury | ![]() | 1 | 1 | 0 | 0 | 0.900 | 3.00 | 60 | 0 | 0 | 3 | 30 | 14 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Team Total or Average | 1 | 1 | 0 | 0 | 0.900 | 3.00 | 60 | 0 | 0 | 3 | 30 | 14 | 0 | 0 | 0.000 | 0 | 1 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 32 | 11 | 11 | 10 | 0 | 30 | 9 | 6 | 26 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 13 | 23 | 56.52% | 13 | 20 | 65.00% | 7 | 13 | 53.85% | 22 | 14 | 23 | 7 | 14 | 7 | 50.0% | 12.5% | 90.0% | 102.5 | FUN |
_Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 32 | 11 | 11 | 10 | 0 | 30 | 9 | 6 | 26 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 13 | 23 | 56.52% | 13 | 20 | 65.00% | 7 | 13 | 53.85% | 22 | 14 | 23 | 7 | 14 | 7 | 50.0% | 12.5% | 90.0% | 102.5 | FUN | |
_Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 32 | 11 | 11 | 10 | 0 | 30 | 9 | 6 | 26 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 13 | 23 | 56.52% | 13 | 20 | 65.00% | 7 | 13 | 53.85% | 22 | 14 | 23 | 7 | 14 | 7 | 50.0% | 12.5% | 90.0% | 102.5 | FUN | |
Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 32 | 11 | 11 | 10 | 0 | 30 | 9 | 6 | 26 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 13 | 23 | 56.52% | 13 | 20 | 65.00% | 7 | 13 | 53.85% | 22 | 14 | 23 | 7 | 14 | 7 | 50.0% | 12.5% | 90.0% | 102.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 14 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 23 |
Neutral Zone Start | 13 |
Defensive Zone Start | 20 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 33 |
Faceoffs Lost | 23 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 22.0 | 20.31 |
3rd Period | 32.0 | 30.68 |
Overtime | 32.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 2.0 | 0.64 |
2nd Period | 4.0 | 1.65 |
3rd Period | 4.0 | 2.67 |
Overtime | 4.0 | 2.83 |
Even Strenght Goal | 3 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 1 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 4 |
---|---|
PP Goal | 1 |
PK Attempt | 3 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 32.0 |
Shots Against | 30.0 |
Goals For | 4.0 |
Goals Against | 3.0 |
Hits | 26.0 |
Shots Blocked | 9.0 |
Pim | 6.0 |
![]() | |
Total Salaries | 62,957,581$ |
Projected Total Cap Hit | 62,957,619$ |
Projected Cap Space | 16,042,381$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 658,468$ |
Players Signed (45 – 55) | 49 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 16 |
LTIR Players | 0 |
Thunder Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Andre Burakovsky | LW/RW | 25 | 3,250,000$ | 3,215,053$ | 3,250,000$ | RFA | ||||||
Anthony Duclair | LW/RW | 24 | 650,000$ | 643,010$ | 650,000$ | 650,000$ | RFA | |||||
Brady Skjei | D | 26 | 5,250,000$ | 5,193,548$ | 5,250,000$ | RFA | ||||||
Brandon Carlo | D | 23 | 789,167$ | 780,681$ | 789,167$ | RFA | ||||||
Connor McDavid | C | 23 | 925,000$ | 915,053$ | 925,000$ | RFA | ||||||
Dustin Tokarski | G | 30 | 450,000$ | 445,161$ | 450,000$ | UFA | ||||||
Esa Lindell | D | 26 | 5,800,000$ | 5,737,634$ | 5,800,000$ | RFA | ||||||
Lucas Wallmark | C | 24 | 675,000$ | 667,741$ | 675,000$ | 675,000$ | RFA | |||||
Marc-Andre Fleury | G | 35 | 6,550,000$ | 6,479,569$ | 6,550,000$ | UFA | ||||||
Mark Scheifele | C | 27 | 6,125,000$ | 6,059,139$ | 6,125,000$ | 6,125,000$ | UFA | |||||
Michael Grabner | LW/RW | 32 | 1,000,000$ | 989,247$ | 1,000,000$ | UFA | ||||||
Mikhail Sergachyov | D | 22 | 894,166$ | 884,551$ | 894,166$ | 894,166$ | 894,166$ | RFA | ||||
Mitchell Stephens | C | 23 | 833,333$ | 824,372$ | 833,333$ | RFA | ||||||
Nathan Gerbe | C/LW/RW | 32 | 450,000$ | 445,161$ | 450,000$ | UFA | ||||||
Nathan MacKinnon | C | 24 | 6,300,000$ | 6,232,258$ | 6,300,000$ | RFA | ||||||
Reilly Smith | LW/RW | 29 | 3,350,000$ | 3,313,978$ | 3,350,000$ | UFA | ||||||
Ryan Ellis | D | 29 | 6,875,000$ | 6,801,075$ | 6,875,000$ | 6,875,000$ | 6,875,000$ | UFA | ||||
Ryan Miller | G | 39 | 562,500$ | 556,451$ | 562,500$ | UFA | ||||||
Samuel Girard | D | 22 | 728,333$ | 720,501$ | 728,333$ | 728,333$ | 728,333$ | RFA | ||||
Tanner Pearson | LW | 27 | 3,750,000$ | 3,709,677$ | 3,750,000$ | UFA | ||||||
Tom Wilson | RW | 26 | 5,166,666$ | 5,111,110$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | UFA | ||||
Travis Dermott | D | 23 | 863,333$ | 854,049$ | 863,333$ | 863,333$ | RFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Formenton | LW | 20 | 725,000$ | 71,756$ | 72,500$ | RFA | ||||||
Andrew Peeke | D | 22 | 916,667$ | 90,727$ | 91,667$ | RFA | ||||||
Angus Crookshank | LW | 20 | 500,000$ | 49,487$ | 50,000$ | RFA | ||||||
Austin Wagner | LW | 23 | 759,167$ | 75,138$ | 75,917$ | 75,917$ | 75,917$ | RFA | ||||
Brandon Crawley | D | 23 | 770,000$ | 76,210$ | 77,000$ | RFA | ||||||
Carter Verhaeghe | C/RW | 24 | 700,000$ | 69,282$ | 70,000$ | 70,000$ | 70,000$ | RFA | ||||
Connor Corcoran | D | 19 | 475,000$ | 47,013$ | 47,500$ | 47,500$ | RFA | |||||
Damien Giroux | C | 20 | 475,000$ | 47,013$ | 47,500$ | 47,500$ | RFA | |||||
Dustyn McFaul | D | 19 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Filip Chytil | C | 20 | 875,000$ | 86,603$ | 87,500$ | RFA | ||||||
Filip Johansson | D | 20 | 875,000$ | 86,603$ | 87,500$ | 87,500$ | RFA | |||||
Frederik Gauthier | C | 25 | 675,000$ | 66,808$ | 67,500$ | 67,500$ | RFA | |||||
Igor Bobkov | G | 29 | 450,000$ | 44,538$ | 45,000$ | UFA | ||||||
Jachym Kondelik | C | 20 | 500,000$ | 49,487$ | 50,000$ | RFA | ||||||
Jake McGrew | RW | 21 | 773,333$ | 76,540$ | 77,333$ | 77,333$ | 77,333$ | RFA | ||||
Jake Walman | D | 24 | 925,000$ | 91,551$ | 92,500$ | RFA | ||||||
Jonny Tychonick | D | 20 | 725,000$ | 71,756$ | 72,500$ | RFA | ||||||
Landon Bow | G | 24 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Markus Phillips | D | 21 | 550,000$ | 54,436$ | 55,000$ | RFA | ||||||
Mathieu Olivier | RW | 23 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Max Lagace | G | 27 | 450,000$ | 44,538$ | 45,000$ | UFA | ||||||
Michael Dal Colle | LW/RW | 24 | 700,000$ | 69,282$ | 70,000$ | 70,000$ | 70,000$ | RFA | ||||
Nick Caamano | LW/RW | 21 | 738,333$ | 73,076$ | 73,833$ | RFA | ||||||
Nikolay Goldobin | LW/RW | 24 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Noah Gregor | C | 21 | 768,333$ | 76,045$ | 76,833$ | RFA | ||||||
Oscar Fantenberg | D | 28 | 450,000$ | 44,538$ | 45,000$ | UFA | ||||||
Semyon Der-Arguchintsev | C | 19 | 625,000$ | 61,859$ | 62,500$ | RFA |
Forward Lines | |||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 32 | 11 | 11 | 10 | 0 | 30 | 9 | 6 | 26 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 13 | 23 | 56.52% | 13 | 20 | 65.00% | 7 | 13 | 53.85% | 22 | 14 | 23 | 7 | 14 | 7 | 50.0% | 12.5% | 90.0% | 102.5 | FUN |
_Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 32 | 11 | 11 | 10 | 0 | 30 | 9 | 6 | 26 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 13 | 23 | 56.52% | 13 | 20 | 65.00% | 7 | 13 | 53.85% | 22 | 14 | 23 | 7 | 14 | 7 | 50.0% | 12.5% | 90.0% | 102.5 | FUN | |
_Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 32 | 11 | 11 | 10 | 0 | 30 | 9 | 6 | 26 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 13 | 23 | 56.52% | 13 | 20 | 65.00% | 7 | 13 | 53.85% | 22 | 14 | 23 | 7 | 14 | 7 | 50.0% | 12.5% | 90.0% | 102.5 | FUN | |
Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 32 | 11 | 11 | 10 | 0 | 30 | 9 | 6 | 26 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 13 | 23 | 56.52% | 13 | 20 | 65.00% | 7 | 13 | 53.85% | 22 | 14 | 23 | 7 | 14 | 7 | 50.0% | 12.5% | 90.0% | 102.5 | FUN |
Puck Time | |
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Offensive Zone | 22 |
Neutral Zone | 14 |
Defensive Zone | 23 |
Puck Time | |
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Offensive Zone Start | 23 |
Neutral Zone Start | 13 |
Defensive Zone Start | 20 |
Puck Time | |
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With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 33 |
Faceoffs Lost | 23 |
Team Average Shots after | League Average Shots after | |
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1st Period | 11.0 | 9.57 |
2nd Period | 22.0 | 20.31 |
3rd Period | 32.0 | 30.68 |
Overtime | 32.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
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1st Period | 2.0 | 0.64 |
2nd Period | 4.0 | 1.65 |
3rd Period | 4.0 | 2.67 |
Overtime | 4.0 | 2.83 |
Even Strenght Goal | 3 |
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PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 1 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 4 |
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PP Goal | 1 |
PK Attempt | 3 |
PK Goal Against | 0 |
Home | |
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Shots For | 32.0 |
Shots Against | 30.0 |
Goals For | 4.0 |
Goals Against | 3.0 |
Hits | 26.0 |
Shots Blocked | 9.0 |
Pim | 6.0 |
Date | Matchup | Result | Detail | |||||||||||
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Sun, Jan 24 | ![]() | @ | ![]() | THU4,WOL3 | RECAP | |||||||||
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Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
61,237,498$ | 0$ | 62,957,619$ | 16,042,381$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Burlington | ||
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$ | 20$ | 200$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
61,237,498$ | 61,237,498$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
658,468$ | 329,234$ | 658,468$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 329,234$ | 60,579,056$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
62,281,509$ | 62,957,619$ | 259,015,010$ | 196,733,501$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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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 |
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Arsen Khisamutdinov | ![]() | 2019 | 179 | ||
Cole Perfetti | ![]() | 2020 | 10 | ||
Connor McClennon | ![]() | 2020 | 149 | ||
Ethan Haider | ![]() | 2019 | 151 | ||
Luke Reid | ![]() | 2020 | 177 | ||
Mads Sogaard | ![]() | 2019 | 39 | ||
Martin Chromiak | ![]() | 2020 | 121 | ||
Maxwell Crozier | ![]() | 2019 | 123 | ||
Nicolas Daws | ![]() | 2020 | 93 | ||
Ryan O'Rourke | ![]() | 2020 | 37 | ||
Vasili Podkolzin | ![]() | 2019 | 11 | ||
Viktor Lodin | ![]() | 2019 | 95 | ||
William Cuylle | ![]() | 2020 | 65 | ||
Zachary Jones | ![]() | 2019 | 67 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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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 |
---|---|---|---|---|---|
Arsen Khisamutdinov | ![]() | 2019 | 179 | ||
Cole Perfetti | ![]() | 2020 | 10 | ||
Connor McClennon | ![]() | 2020 | 149 | ||
Ethan Haider | ![]() | 2019 | 151 | ||
Luke Reid | ![]() | 2020 | 177 | ||
Mads Sogaard | ![]() | 2019 | 39 | ||
Martin Chromiak | ![]() | 2020 | 121 | ||
Maxwell Crozier | ![]() | 2019 | 123 | ||
Nicolas Daws | ![]() | 2020 | 93 | ||
Ryan O'Rourke | ![]() | 2020 | 37 | ||
Vasili Podkolzin | ![]() | 2019 | 11 | ||
Viktor Lodin | ![]() | 2019 | 95 | ||
William Cuylle | ![]() | 2020 | 65 | ||
Zachary Jones | ![]() | 2019 | 67 |
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