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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Burlington Thunder 6-5-1, 13pts · 6th 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/RW | 100.00 | 69 | 43 | 85 | 98 | 73 | 90 | 94 | 99 | 83 | 97 | 96 | 62 | 68 | 78 | 82 | 96 | 75 | 89 | 28 | 12,600,000$/5yrs | |||
![]() | 0 | C | 100.00 | 81 | 44 | 88 | 99 | 71 | 87 | 96 | 92 | 87 | 99 | 89 | 68 | 84 | 75 | 77 | 93 | 75 | 87 | 27 | 12,500,000$/3yrs | |||
![]() | 0 | C | 100.00 | 73 | 68 | 78 | 87 | 78 | 84 | 95 | 87 | 85 | 87 | 85 | 63 | 66 | 78 | 80 | 86 | 75 | 81 | 31 | 6,125,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 42 | 86 | 81 | 66 | 77 | 96 | 89 | 42 | 83 | 90 | 62 | 25 | 69 | 72 | 87 | 75 | 81 | 28 | 4,166,667$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 69 | 42 | 86 | 90 | 70 | 72 | 64 | 76 | 37 | 70 | 84 | 67 | 79 | 74 | 76 | 78 | 75 | 75 | 28 | 3,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 96 | 91 | 52 | 89 | 85 | 78 | 71 | 79 | 38 | 68 | 75 | 77 | 25 | 76 | 80 | 72 | 75 | 74 | 30 | 5,166,667$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 63 | 41 | 94 | 81 | 63 | 65 | 78 | 79 | 41 | 72 | 78 | 58 | 25 | 59 | 59 | 75 | 75 | 71 | 22 | 894,167$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 44 | 86 | 84 | 79 | 86 | 74 | 74 | 25 | 72 | 48 | 86 | 25 | 70 | 75 | 73 | 75 | 79 | 26 | 8,500,000$/8yrs | |||
![]() | 0 | D | 100.00 | 73 | 44 | 94 | 81 | 80 | 80 | 99 | 64 | 25 | 60 | 48 | 99 | 25 | 74 | 76 | 62 | 75 | 77 | 30 | 5,800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 83 | 46 | 84 | 83 | 81 | 79 | 93 | 65 | 25 | 50 | 48 | 96 | 25 | 73 | 76 | 58 | 75 | 73 | 27 | 4,100,000$/4yrs | |||
![]() | 0 | D | 100.00 | 78 | 43 | 94 | 91 | 60 | 78 | 85 | 69 | 25 | 59 | 48 | 86 | 25 | 70 | 73 | 64 | 75 | 73 | 26 | 5,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 88 | 46 | 88 | 79 | 73 | 69 | 76 | 61 | 25 | 58 | 48 | 86 | 25 | 64 | 64 | 60 | 75 | 70 | 26 | 2,750,000$/3yrs | |||
![]() | 26 | D | 100.00 | 76 | 72 | 89 | 67 | 72 | 80 | 88 | 52 | 25 | 45 | 43 | 72 | 41 | 51 | 51 | 57 | 75 | 65 | 30 | 450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 71 | 89 | 67 | 71 | 80 | 88 | 55 | 25 | 46 | 48 | 68 | 46 | 42 | 42 | 60 | 75 | 65 | 30 | 450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 73 | 84 | 65 | 73 | 56 | 58 | 53 | 25 | 45 | 46 | 76 | 44 | 54 | 54 | 58 | 75 | 64 | 35 | 450,000$/1yrs | |||
![]() | 41 | D | 100.00 | 72 | 67 | 83 | 66 | 67 | 65 | 69 | 54 | 25 | 46 | 47 | 72 | 46 | 45 | 45 | 59 | 75 | 64 | 29 | 450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 72 | 68 | 83 | 66 | 68 | 79 | 87 | 55 | 25 | 47 | 48 | 62 | 46 | 50 | 50 | 61 | 75 | 63 | 33 | 450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 73 | 86 | 66 | 73 | 78 | 85 | 54 | 25 | 45 | 49 | 65 | 47 | 53 | 53 | 59 | 75 | 63 | 29 | 450,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 76 | 71 | 89 | 65 | 71 | 61 | 61 | 64 | 50 | 56 | 64 | 69 | 61 | 59 | 59 | 61 | 75 | 63 | 23 | 925,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 76 | 57 | 85 | 79 | 72 | 76 | 82 | 70 | 39 | 63 | 62 | 73 | 44 | 64 | 65 | 69 | 75 | 72 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 90 | 92 | 89 | 84 | 93 | 86 | 79 | 88 | 88 | 89 | 78 | 72 | 74 | 93 | 75 | 92 | 31 | 6,166,666$/3yrs |
![]() | 0 | 100.00 | 65 | 56 | 70 | 68 | 66 | 72 | 65 | 66 | 66 | 65 | 58 | 39 | 39 | 65 | 75 | 66 | 29 | 450,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 78 | 74 | 80 | 76 | 80 | 79 | 72 | 77 | 77 | 77 | 68 | 56 | 57 | 79 | 75 | 79 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | Nathan MacKinnon | ![]() | 0 | C/RW | 12 | 8 | 15 | 23 | 8 | 4 | 0 | 15 | 69 | 11 | 49 | 11.59% | 1 | 26.83 | 1 | 2 | 3 | 0 | 1 | 1 | 41 | 2 | 1 | 56.02% | 432 | 0 | 0 | 0 | 0 | 1.43 | 0 | 1 |
2 | Connor McDavid | ![]() | 0 | C | 12 | 5 | 8 | 13 | -1 | 4 | 0 | 16 | 51 | 9 | 40 | 9.80% | 2 | 25.33 | 0 | 2 | 2 | 1 | 0 | 1 | 43 | 2 | 0 | 60.08% | 258 | 0 | 0 | 0 | 1 | 0.86 | 0 | 1 |
3 | Carter Verhaeghe | ![]() | 0 | C/LW | 12 | 6 | 7 | 13 | 4 | 0 | 0 | 9 | 33 | 10 | 22 | 18.18% | 1 | 19.90 | 1 | 1 | 2 | 0 | 0 | 0 | 23 | 0 | 0 | 35.00% | 20 | 0 | 0 | 0 | 0 | 1.09 | 1 | 1 |
4 | Esa Lindell | ![]() | 0 | D | 12 | 2 | 7 | 9 | 4 | 2 | 0 | 17 | 15 | 6 | 8 | 13.33% | 17 | 21.21 | 2 | 2 | 4 | 0 | 0 | 0 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 |
5 | Anthony Duclair | ![]() | 0 | C/LW/RW | 12 | 3 | 6 | 9 | 5 | 4 | 0 | 8 | 40 | 4 | 17 | 7.50% | 1 | 21.38 | 1 | 1 | 2 | 0 | 0 | 0 | 7 | 0 | 0 | 45.00% | 20 | 0 | 0 | 0 | 0 | 0.70 | 0 | 1 |
6 | Mikhail Sergachyov | ![]() | 0 | D | 12 | 1 | 8 | 9 | 2 | 18 | 0 | 24 | 10 | 4 | 6 | 10.00% | 22 | 20.68 | 0 | 4 | 4 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 |
7 | Mark Scheifele | ![]() | 0 | C | 12 | 3 | 4 | 7 | 6 | 0 | 0 | 18 | 51 | 11 | 25 | 5.88% | 4 | 20.98 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 2 | 0 | 55.19% | 212 | 0 | 0 | 0 | 0 | 0.56 | 1 | 1 |
8 | Tom Wilson | ![]() | 0 | RW | 12 | 4 | 1 | 5 | -6 | 14 | 0 | 51 | 28 | 15 | 24 | 14.29% | 1 | 20.44 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 37.93% | 29 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 |
9 | Cole Perfetti | ![]() | 0 | C/LW/RW | 12 | 3 | 1 | 4 | -5 | 0 | 0 | 0 | 29 | 5 | 19 | 10.34% | 1 | 19.96 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 32.35% | 34 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 |
10 | Mikhail Pashnin | ![]() | 0 | D | 12 | 0 | 2 | 2 | -2 | 12 | 0 | 25 | 10 | 2 | 5 | 0.00% | 15 | 17.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 5 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 |
11 | Andrew Peeke | ![]() | 0 | D | 12 | 1 | 1 | 2 | -1 | 16 | 0 | 21 | 3 | 2 | 4 | 33.33% | 6 | 10.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 |
12 | Samuel Girard | ![]() | 0 | D | 12 | 0 | 2 | 2 | -2 | 2 | 0 | 13 | 16 | 5 | 8 | 0.00% | 12 | 20.06 | 0 | 1 | 1 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 |
13 | Brandon Carlo | ![]() | 0 | D | 12 | 1 | 0 | 1 | -2 | 10 | 0 | 33 | 24 | 7 | 13 | 4.17% | 11 | 19.73 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 |
14 | Joel Persson | ![]() | 0 | D | 12 | 0 | 1 | 1 | -1 | 2 | 0 | 9 | 2 | 1 | 2 | 0.00% | 3 | 10.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 |
15 | Mikko Lehtonen | ![]() | 26 | D | 12 | 0 | 0 | 0 | -2 | 4 | 0 | 18 | 2 | 3 | 1 | 0.00% | 4 | 18.22 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
16 | Henrik Tommernes | ![]() | 0 | D | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 1.33 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
17 | Rushan Rafikov | ![]() | 0 | D | 12 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 1 | 1.42 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Jordan Gross | ![]() | 41 | D | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 216 | 37 | 63 | 100 | 8 | 92 | 0 | 279 | 383 | 95 | 243 | 9.66% | 102 | 16.39 | 7 | 13 | 20 | 278 | 1 | 1 | 2 | 315 | 6 | 2 | 54.77% | 1017 | 0 | 0 | 0 | 1 | 0.56 | 2 | 5 |
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 | Connor Hellebuyck | ![]() | 12 | 6 | 5 | 1 | 0.904 | 3.14 | 707 | 2 | 1 | 37 | 387 | 0 | 1 | 0 | 0.400 | 5 | 12 | 0 | 1 | 1 | 0 |
2 | Sandro Aeschlimann | ![]() | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 21 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0.000 | 0 | 0 | 12 | 0 | 0 | 0 |
Team Total or Average | 13 | 6 | 5 | 1 | 0.907 | 3.05 | 728 | 2 | 1 | 37 | 397 | 0 | 1 | 0 | 0.400 | 5 | 12 | 12 | 1 | 1 | 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 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3.50 | 2.50 | 1.00 | 4 | 1.000 | 3.5 | 6.5 | 10.0 | 0 | 0 | 2 | 3 | 1 | 1 | 35.5 | 33 | 20 | 17 | 1 | 35.5 | 7.5 | 7.00 | 32.0 | 3.00 | 1.50 | 50.00% | 3.50 | 1.00 | 71.43% | 0 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 23.00 | 16.00 | 25.00 | 7.50 | 12.00 | 5.50 | 57.1% | 9.9% | 93.0% | 102.8 | LUCKY |
2 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 3.50 | -2.00 | 0 | 0.000 | 1.5 | 2.5 | 4.0 | 0 | 0 | 2 | 0 | 1 | 0 | 31.5 | 23 | 23 | 17 | 0 | 30.5 | 11.0 | 9.00 | 23.0 | 4.00 | 0.50 | 12.50% | 4.50 | 0.00 | 100.00% | 0 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 23.00 | 15.50 | 24.00 | 7.50 | 12.50 | 6.00 | 22.2% | 4.8% | 88.5% | 93.3 | Unlucky |
3 | ![]() | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 3.50 | 3.50 | 0.00 | 3 | 0.750 | 3.5 | 6.5 | 10.0 | 0 | 0 | 3 | 1 | 2 | 3 | 30.5 | 18 | 22 | 19 | 7 | 46.0 | 12.5 | 6.00 | 20.0 | 1.50 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 21.00 | 14.00 | 29.00 | 7.50 | 12.50 | 6.00 | 58.3% | 11.5% | 92.4% | 103.9 | LUCKY |
4 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.50 | 4.00 | -0.50 | 2 | 0.500 | 3.5 | 5.5 | 9.0 | 0 | 0 | 0 | 5 | 1 | 1 | 33.0 | 18 | 30 | 16 | 2 | 33.5 | 9.0 | 7.00 | 26.0 | 2.00 | 0.50 | 25.00% | 3.00 | 1.50 | 50.00% | 0 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 24.00 | 16.50 | 24.00 | 7.00 | 12.00 | 6.00 | 54.5% | 10.6% | 88.1% | 98.7 | FUN |
5 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 0.50 | 4.50 | 4 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 1 | 2 | 8 | 0 | 0 | 37.5 | 25 | 28 | 22 | 0 | 22.0 | 6.0 | 6.00 | 22.5 | 1.50 | 0.50 | 33.33% | 3.00 | 0.00 | 100.00% | 1 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 23.00 | 16.00 | 23.50 | 6.50 | 12.50 | 6.00 | 90.0% | 13.3% | 97.7% | 111.1 | LUCKY |
6 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 5.00 | -3.50 | 0 | 0.000 | 1.5 | 2.5 | 4.0 | 0 | 0 | 2 | 0 | 1 | 0 | 23.5 | 18 | 14 | 15 | 0 | 31.0 | 5.0 | 12.00 | 16.0 | 4.00 | 0.50 | 12.50% | 6.00 | 1.50 | 75.00% | 0 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 24.00 | 16.50 | 23.00 | 7.00 | 12.00 | 6.00 | 22.2% | 6.4% | 83.9% | 90.3 | Unlucky |
_Vs Division | 12 | 3 | 5 | 0 | 3 | 0 | 0 | 1 | 3.08 | 3.17 | -0.08 | 13 | 0.542 | 3.1 | 5.3 | 8.3 | 0 | 1 | 11 | 17 | 6 | 5 | 31.9 | 135 | 137 | 106 | 10 | 33.1 | 8.5 | 7.83 | 23.3 | 2.67 | 0.58 | 21.88% | 3.83 | 0.83 | 78.26% | 1 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 23.17 | 15.92 | 25.00 | 7.33 | 12.42 | 6.00 | 51.7% | 9.7% | 90.4% | 100.1 | FUN | |
_Vs Conference | 12 | 3 | 5 | 0 | 3 | 0 | 0 | 1 | 3.08 | 3.17 | -0.08 | 13 | 0.542 | 3.1 | 5.3 | 8.3 | 0 | 1 | 11 | 17 | 6 | 5 | 31.9 | 135 | 137 | 106 | 10 | 33.1 | 8.5 | 7.83 | 23.3 | 2.67 | 0.58 | 21.88% | 3.83 | 0.83 | 78.26% | 1 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 23.17 | 15.92 | 25.00 | 7.33 | 12.42 | 6.00 | 51.7% | 9.7% | 90.4% | 100.1 | FUN | |
_Since Last GM Reset | 12 | 3 | 5 | 0 | 3 | 0 | 0 | 1 | 3.08 | 3.17 | -0.08 | 13 | 0.542 | 3.1 | 5.3 | 8.3 | 0 | 1 | 11 | 17 | 6 | 5 | 31.9 | 135 | 137 | 106 | 10 | 33.1 | 8.5 | 7.83 | 23.3 | 2.67 | 0.58 | 21.88% | 3.83 | 0.83 | 78.26% | 1 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 23.17 | 15.92 | 25.00 | 7.33 | 12.42 | 6.00 | 51.7% | 9.7% | 90.4% | 100.1 | FUN | |
Total | 12 | 3 | 5 | 0 | 3 | 0 | 0 | 1 | 3.08 | 3.17 | -0.08 | 13 | 0.542 | 3.1 | 5.3 | 8.3 | 0 | 1 | 11 | 17 | 6 | 5 | 31.9 | 135 | 137 | 106 | 10 | 33.1 | 8.5 | 7.83 | 23.3 | 2.67 | 0.58 | 21.88% | 3.83 | 0.83 | 78.26% | 1 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 23.17 | 15.92 | 25.00 | 7.33 | 12.42 | 6.00 | 51.7% | 9.7% | 90.4% | 100.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 385 |
Neutral Zone Start | 182 |
Defensive Zone Start | 436 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 557 |
Faceoffs Lost | 446 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 22.7 | 20.31 |
3rd Period | 31.5 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 29 |
---|---|
PP Goal | 7 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 2 | 3 |
Overtime Lost | 1 | 0 |
PP Attempt | 32 |
---|---|
PP Goal | 7 |
PK Attempt | 46 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 31.9 |
Shots Against | 33.1 |
Goals For | 3.1 |
Goals Against | 3.2 |
Hits | 23.3 |
Shots Blocked | 8.5 |
Pim | 7.8 |
![]() | |
Total Salaries | 80,844,167$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 44 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 18 |
LTIR Players | 0 |
Thunder Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Peeke | D | 26 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||
Anthony Duclair | C/LW/RW | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||||
Brandon Carlo | D | 27 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | UFA | |||
Carter Verhaeghe | C/LW | 28 | 4,166,667$ | 4,166,667$ | 4,166,667$ | 4,166,667$ | UFA | |||||
Cole Perfetti | C/LW/RW | 22 | 894,167$ | 894,167$ | 894,167$ | RFA | ||||||
Connor Hellebuyck | G | 31 | 6,166,666$ | 6,166,666$ | 6,166,666$ | 6,166,666$ | 6,166,666$ | UFA | ||||
Connor McDavid | C | 27 | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | UFA | ||||
Esa Lindell | D | 30 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | |||||
Henrik Tommernes | D | 33 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Joel Persson | D | 30 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Jordan Gross | D | 29 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Mark Scheifele | C | 31 | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | UFA | ||||
Mikhail Pashnin | D | 35 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Mikhail Sergachyov | D | 26 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | |
Mikko Lehtonen | D | 30 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Nathan MacKinnon | C/RW | 28 | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | UFA | ||
Rushan Rafikov | D | 29 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Samuel Girard | D | 26 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Sandro Aeschlimann | G | 29 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Tom Wilson | RW | 30 | 5,166,667$ | 5,166,667$ | 5,166,667$ | 5,166,667$ | 5,166,667$ | UFA | ||||
Vasili Podkolzin | RW | 23 | 925,000$ | 925,000$ | 925,000$ | RFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Amadeus Lombardi | C | 21 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | |||||
Casey Fitzgerald | D | 27 | 775,000$ | 77,500$ | 77,500$ | UFA | ||||||
Damir Sharipzyanov | D | 28 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Ethan Haider | G | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Fabian Lysell | RW | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Gavin Hayes | LW | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Jachym Kondelik | C | 24 | 855,000$ | 85,500$ | 85,500$ | RFA | ||||||
Jackson Blake | C/RW | 20 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Jiri Kulich | C/LW | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Luke Reid | D | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Mads Sogaard | G | 23 | 925,000$ | 92,500$ | 92,500$ | RFA | ||||||
Martin Chromiak | LW/RW | 21 | 820,000$ | 82,000$ | 82,000$ | 82,000$ | RFA | |||||
Max Crozier | D | 24 | 867,500$ | 86,750$ | 86,750$ | 86,750$ | RFA | |||||
Nico Daws | G | 23 | 850,833$ | 85,083$ | 85,083$ | RFA | ||||||
Niko Huuhtanen | RW | 21 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Owen Beck | C | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Peter Ceresnak | D | 31 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Ryan O'Rourke | D | 22 | 855,834$ | 85,583$ | 85,583$ | 85,583$ | RFA | |||||
Tyler Brennan | G | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Viktor Lodin | C/RW | 25 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Will Cuylle | LW | 22 | 828,333$ | 82,833$ | 82,833$ | 82,833$ | RFA | |||||
William Stromgren | LW | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Zac Jones | D | 23 | 812,500$ | 81,250$ | 81,250$ | 81,250$ | RFA |
Forward Lines | |||||||
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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 | 0 | 0 | 1 | 0 | 0 | 0 | 3.50 | 2.50 | 1.00 | 4 | 1.000 | 3.5 | 6.5 | 10.0 | 0 | 0 | 2 | 3 | 1 | 1 | 35.5 | 33 | 20 | 17 | 1 | 35.5 | 7.5 | 7.00 | 32.0 | 3.00 | 1.50 | 50.00% | 3.50 | 1.00 | 71.43% | 0 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 23.00 | 16.00 | 25.00 | 7.50 | 12.00 | 5.50 | 57.1% | 9.9% | 93.0% | 102.8 | LUCKY |
2 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 3.50 | -2.00 | 0 | 0.000 | 1.5 | 2.5 | 4.0 | 0 | 0 | 2 | 0 | 1 | 0 | 31.5 | 23 | 23 | 17 | 0 | 30.5 | 11.0 | 9.00 | 23.0 | 4.00 | 0.50 | 12.50% | 4.50 | 0.00 | 100.00% | 0 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 23.00 | 15.50 | 24.00 | 7.50 | 12.50 | 6.00 | 22.2% | 4.8% | 88.5% | 93.3 | Unlucky |
3 | ![]() | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 3.50 | 3.50 | 0.00 | 3 | 0.750 | 3.5 | 6.5 | 10.0 | 0 | 0 | 3 | 1 | 2 | 3 | 30.5 | 18 | 22 | 19 | 7 | 46.0 | 12.5 | 6.00 | 20.0 | 1.50 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 21.00 | 14.00 | 29.00 | 7.50 | 12.50 | 6.00 | 58.3% | 11.5% | 92.4% | 103.9 | LUCKY |
4 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.50 | 4.00 | -0.50 | 2 | 0.500 | 3.5 | 5.5 | 9.0 | 0 | 0 | 0 | 5 | 1 | 1 | 33.0 | 18 | 30 | 16 | 2 | 33.5 | 9.0 | 7.00 | 26.0 | 2.00 | 0.50 | 25.00% | 3.00 | 1.50 | 50.00% | 0 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 24.00 | 16.50 | 24.00 | 7.00 | 12.00 | 6.00 | 54.5% | 10.6% | 88.1% | 98.7 | FUN |
5 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 0.50 | 4.50 | 4 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 1 | 2 | 8 | 0 | 0 | 37.5 | 25 | 28 | 22 | 0 | 22.0 | 6.0 | 6.00 | 22.5 | 1.50 | 0.50 | 33.33% | 3.00 | 0.00 | 100.00% | 1 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 23.00 | 16.00 | 23.50 | 6.50 | 12.50 | 6.00 | 90.0% | 13.3% | 97.7% | 111.1 | LUCKY |
6 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 5.00 | -3.50 | 0 | 0.000 | 1.5 | 2.5 | 4.0 | 0 | 0 | 2 | 0 | 1 | 0 | 23.5 | 18 | 14 | 15 | 0 | 31.0 | 5.0 | 12.00 | 16.0 | 4.00 | 0.50 | 12.50% | 6.00 | 1.50 | 75.00% | 0 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 24.00 | 16.50 | 23.00 | 7.00 | 12.00 | 6.00 | 22.2% | 6.4% | 83.9% | 90.3 | Unlucky |
_Vs Division | 12 | 3 | 5 | 0 | 3 | 0 | 0 | 1 | 3.08 | 3.17 | -0.08 | 13 | 0.542 | 3.1 | 5.3 | 8.3 | 0 | 1 | 11 | 17 | 6 | 5 | 31.9 | 135 | 137 | 106 | 10 | 33.1 | 8.5 | 7.83 | 23.3 | 2.67 | 0.58 | 21.88% | 3.83 | 0.83 | 78.26% | 1 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 23.17 | 15.92 | 25.00 | 7.33 | 12.42 | 6.00 | 51.7% | 9.7% | 90.4% | 100.1 | FUN | |
_Vs Conference | 12 | 3 | 5 | 0 | 3 | 0 | 0 | 1 | 3.08 | 3.17 | -0.08 | 13 | 0.542 | 3.1 | 5.3 | 8.3 | 0 | 1 | 11 | 17 | 6 | 5 | 31.9 | 135 | 137 | 106 | 10 | 33.1 | 8.5 | 7.83 | 23.3 | 2.67 | 0.58 | 21.88% | 3.83 | 0.83 | 78.26% | 1 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 23.17 | 15.92 | 25.00 | 7.33 | 12.42 | 6.00 | 51.7% | 9.7% | 90.4% | 100.1 | FUN | |
_Since Last GM Reset | 12 | 3 | 5 | 0 | 3 | 0 | 0 | 1 | 3.08 | 3.17 | -0.08 | 13 | 0.542 | 3.1 | 5.3 | 8.3 | 0 | 1 | 11 | 17 | 6 | 5 | 31.9 | 135 | 137 | 106 | 10 | 33.1 | 8.5 | 7.83 | 23.3 | 2.67 | 0.58 | 21.88% | 3.83 | 0.83 | 78.26% | 1 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 23.17 | 15.92 | 25.00 | 7.33 | 12.42 | 6.00 | 51.7% | 9.7% | 90.4% | 100.1 | FUN | |
Total | 12 | 3 | 5 | 0 | 3 | 0 | 0 | 1 | 3.08 | 3.17 | -0.08 | 13 | 0.542 | 3.1 | 5.3 | 8.3 | 0 | 1 | 11 | 17 | 6 | 5 | 31.9 | 135 | 137 | 106 | 10 | 33.1 | 8.5 | 7.83 | 23.3 | 2.67 | 0.58 | 21.88% | 3.83 | 0.83 | 78.26% | 1 | 196 | 385 | 50.91% | 252 | 436 | 57.80% | 109 | 182 | 59.89% | 23.17 | 15.92 | 25.00 | 7.33 | 12.42 | 6.00 | 51.7% | 9.7% | 90.4% | 100.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 385 |
Neutral Zone Start | 182 |
Defensive Zone Start | 436 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 557 |
Faceoffs Lost | 446 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 22.7 | 20.31 |
3rd Period | 31.5 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 29 |
---|---|
PP Goal | 7 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 2 | 3 |
Overtime Lost | 1 | 0 |
PP Attempt | 32 |
---|---|
PP Goal | 7 |
PK Attempt | 46 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 31.9 |
Shots Against | 33.1 |
Goals For | 3.1 |
Goals Against | 3.2 |
Hits | 23.3 |
Shots Blocked | 8.5 |
Pim | 7.8 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | ![]() | @ | ![]() | ROC3,THU2 (SO) | RECAP | |||||||||
5 | ![]() | @ | ![]() | THU4,FRE3 (OT) | RECAP | |||||||||
8 | ![]() | @ | ![]() | BRA3,THU2 | RECAP | |||||||||
11 | ![]() | @ | ![]() | THU6,GRI0 | RECAP | |||||||||
13 | ![]() | @ | ![]() | THU1,HIT5 | RECAP | |||||||||
15 | ![]() | @ | ![]() | THU1,BRA4 | RECAP | |||||||||
16 | ![]() | @ | ![]() | HIT5,THU2 | RECAP | |||||||||
20 | ![]() | @ | ![]() | KNI3,THU4 (OT) | RECAP | |||||||||
22 | ![]() | @ | ![]() | THU3,KNI5 | RECAP | |||||||||
24 | ![]() | @ | ![]() | GRI1,THU4 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
27 | ![]() | @ | ![]() | FRE2,THU3 | RECAP | |||||||||
28 | ![]() | @ | ![]() | THU5,ROC4 (OT) | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,844,167$ | 0$ | 0$ | 83,500,000$ |
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 | 0 | 0 | 0 | 0 |
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 |
0 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,844,167$ | 80,844,167$ | 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$ | 4 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 251,978,878$ | 251,978,878$ |
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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2025 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ||
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Adam Jecho | ![]() | 2024 | 77 | 0 | |
Anton Silayev | ![]() | 2024 | 26 | 0 | |
Charlie Elick | ![]() | 2024 | 47 | 0 | |
Chas Sharpe | ![]() | 2024 | 147 | 0 | |
Colby Barlow | ![]() | 2023 | 14 | - | Link |
Cole Beaudoin | ![]() | 2024 | 22 | 0 | |
Dmitri Gamzin | ![]() | 2024 | 156 | 0 | |
Mathieu Cataford | ![]() | 2023 | 68 | - | Link |
Mikhail Ilyin | ![]() | 2023 | 152 | - | Link |
Ollie Josephson | ![]() | 2024 | 134 | 0 | |
Riley Heidt | ![]() | 2023 | 35 | - | Link |
Tyler Thorpe | ![]() | 2024 | 162 | 0 | |
Vilmer Alriksson | ![]() | 2023 | 124 | - | Link |
Vojtech Port | ![]() | 2023 | 180 | - | Link |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2025 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ||
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Adam Jecho | ![]() | 2024 | 77 | 0 | |
Anton Silayev | ![]() | 2024 | 26 | 0 | |
Charlie Elick | ![]() | 2024 | 47 | 0 | |
Chas Sharpe | ![]() | 2024 | 147 | 0 | |
Colby Barlow | ![]() | 2023 | 14 | - | Link |
Cole Beaudoin | ![]() | 2024 | 22 | 0 | |
Dmitri Gamzin | ![]() | 2024 | 156 | 0 | |
Mathieu Cataford | ![]() | 2023 | 68 | - | Link |
Mikhail Ilyin | ![]() | 2023 | 152 | - | Link |
Ollie Josephson | ![]() | 2024 | 134 | 0 | |
Riley Heidt | ![]() | 2023 | 35 | - | Link |
Tyler Thorpe | ![]() | 2024 | 162 | 0 | |
Vilmer Alriksson | ![]() | 2023 | 124 | - | Link |
Vojtech Port | ![]() | 2023 | 180 | - | Link |
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