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Full Scoreboard >> |
![]() | Coniston Titans 0-0-1, 1pts · 8th 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 | 50 | 40 | 80 | 23 | 74 | 83 | 92 | 79 | 98 | 83 | 82 | 90 | 50 | 73 | 75 | 82 | 75 | 82 | 27 | 4,766,667$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 60 | 50 | 78 | 21 | 82 | 81 | 94 | 82 | 81 | 87 | 83 | 69 | 70 | 84 | 87 | 80 | 75 | 80 | 33 | 8,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 39 | 39 | 77 | 21 | 69 | 77 | 87 | 83 | 79 | 88 | 84 | 40 | 79 | 70 | 73 | 77 | 75 | 77 | 28 | 7,800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 64 | 49 | 74 | 28 | 57 | 74 | 76 | 77 | 92 | 87 | 81 | 61 | 63 | 67 | 68 | 76 | 75 | 76 | 26 | 600,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 57 | 49 | 75 | 26 | 73 | 77 | 93 | 79 | 78 | 85 | 83 | 50 | 75 | 62 | 63 | 76 | 75 | 76 | 22 | 894,166$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 82 | 41 | 84 | 38 | 67 | 63 | 82 | 70 | 43 | 82 | 78 | 75 | 25 | 67 | 68 | 73 | 75 | 73 | 33 | 3,270,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 96 | 42 | 77 | 45 | 70 | 65 | 73 | 60 | 38 | 73 | 78 | 80 | 45 | 81 | 83 | 72 | 75 | 72 | 32 | 2,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 60 | 40 | 85 | 33 | 79 | 68 | 75 | 75 | 36 | 75 | 83 | 60 | 48 | 63 | 65 | 72 | 75 | 72 | 24 | 4,750,000$/3yrs | |||
![]() | 0 | C | 100.00 | 76 | 40 | 82 | 40 | 66 | 52 | 82 | 74 | 39 | 74 | 80 | 67 | 53 | 57 | 57 | 70 | 75 | 70 | 23 | 728,333$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 50 | 40 | 76 | 35 | 73 | 64 | 86 | 72 | 25 | 76 | 83 | 57 | 36 | 73 | 75 | 70 | 75 | 70 | 29 | 1,200,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 50 | 47 | 84 | 42 | 57 | 53 | 79 | 67 | 38 | 79 | 77 | 63 | 25 | 63 | 63 | 69 | 75 | 69 | 26 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 36 | 39 | 81 | 37 | 78 | 86 | 92 | 89 | 25 | 98 | 73 | 86 | 25 | 68 | 69 | 83 | 75 | 83 | 24 | 7,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 50 | 84 | 51 | 75 | 76 | 78 | 75 | 25 | 80 | 76 | 88 | 25 | 69 | 70 | 77 | 75 | 77 | 33 | 3,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 46 | 39 | 79 | 39 | 73 | 90 | 82 | 88 | 25 | 94 | 74 | 63 | 25 | 70 | 71 | 75 | 75 | 75 | 26 | 832,500$/1yrs | |||
![]() | 0 | D | 100.00 | 32 | 47 | 80 | 46 | 70 | 84 | 84 | 79 | 25 | 79 | 76 | 73 | 80 | 68 | 69 | 71 | 75 | 71 | 25 | 4,025,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 58 | 64 | 48 | 75 | 95 | 95 | 60 | 25 | 66 | 61 | 56 | 58 | 60 | 51 | 52 | 75 | 52 | 22 | 732,222$/1yrs | |||
![]() | 0 | D | 100.00 | 74 | 77 | 71 | 51 | 98 | 94 | 95 | 57 | 25 | 62 | 60 | 65 | 57 | 66 | 56 | 51 | 75 | 51 | 25 | 800,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 38.88 | 55 | 40 | 74 | 21 | 81 | 79 | 72 | 82 | 40 | 85 | 85 | 69 | 25 | 65 | 65 | 81 | 75 | 81 | 25 | 3,300,000$/2yrs | |||
![]() | 0 | C/LW/RW | 93.52 | 62 | 40 | 82 | 34 | 70 | 70 | 82 | 71 | 81 | 84 | 78 | 90 | 25 | 61 | 62 | 78 | 75 | 78 | 23 | 894,167$/2yrs | |||
![]() | 0 | D | 56.62 | 28 | 47 | 82 | 37 | 68 | 85 | 92 | 88 | 25 | 91 | 78 | 60 | 80 | 62 | 64 | 76 | 75 | 76 | 24 | 5,200,000$/1yrs | |||
TEAM AVERAGE | 94.35 | 58 | 46 | 78 | 36 | 73 | 76 | 85 | 75 | 47 | 81 | 78 | 68 | 48 | 67 | 68 | 73 | 75 | 73 |
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 | 84 | 74 | 71 | 76 | 99 | 90 | 91 | 94 | 99 | 96 | 75 | 52 | 52 | 80 | 75 | 80 | 24 | 680,833$/1yrs |
![]() | 0 | 100.00 | 68 | 62 | 61 | 79 | 94 | 88 | 88 | 92 | 96 | 92 | 75 | 52 | 52 | 73 | 75 | 73 | 27 | 612,500$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 76 | 68 | 66 | 78 | 97 | 89 | 90 | 93 | 98 | 94 | 75 | 52 | 52 | 77 | 75 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Darryl Sutter | 99 | 94 | 75 | 85 | 94 | 95 | 28 | CAN | 62 | 2 | 0$ |
General Manager | James Tessier |
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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 | Sean Couturier | ![]() | 0 | C | 1 | 1 | 0 | 1 | -1 | 0 | 0 | 1 | 1 | 0 | 0 | 100.00% | 0 | 19.13 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 47.62% | 21 | 1 | 0 | 0 | 0 | 1.05 | 0 | 0 |
2 | Blake Wheeler | ![]() | 0 | C/RW | 1 | 0 | 1 | 1 | -1 | 0 | 0 | 2 | 2 | 0 | 1 | 0.00% | 0 | 19.13 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.05 | 0 | 0 |
3 | Cal Clutterbuck | ![]() | 0 | RW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 0 | 0 | 0 | 0.00% | 2 | 12.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
4 | Nick Holden | ![]() | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 0 | 3 | 0.00% | 4 | 25.85 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 |
5 | Alex Tuch | ![]() | 0 | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 11.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
6 | Yevgeni Kuznetsov | ![]() | 0 | C | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 2 | 1 | 6 | 0.00% | 0 | 17.82 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 35.71% | 14 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
7 | Brendan Leipsic | ![]() | 0 | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 13.35 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
8 | Morgan Rielly | ![]() | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 0 | 18.92 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
9 | Nikita Tryamkin | ![]() | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 15.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
10 | Leo Komarov | ![]() | 0 | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 1 | 1 | 0.00% | 1 | 16.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
11 | Joel Eriksson Ek | ![]() | 0 | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0.00% | 0 | 11.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
12 | Filip Chlapik | ![]() | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0.00% | 0 | 11.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.44% | 9 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
13 | Alex Chiasson | ![]() | 0 | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0.00% | 0 | 10.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
14 | Parker Wotherspoon | ![]() | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 1 | 15.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
15 | Vincent Trocheck | ![]() | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 2 | 0.00% | 1 | 14.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
16 | Aaron Ekblad | ![]() | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 4 | 26.08 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
17 | Brett Pesce | ![]() | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0.00% | 2 | 18.92 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Pierre-Luc Dubois | ![]() | 0 | C/LW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 16.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 18 | 1 | 1 | 2 | -3 | 6 | 0 | 20 | 21 | 4 | 19 | 4.76% | 16 | 16.41 | 1 | 1 | 2 | 11 | 0 | 0 | 0 | 20 | 0 | 0 | 44.64% | 56 | 5 | 2 | 0 | 0 | 0.14 | 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 | Tristan Jarry | ![]() | 1 | 0 | 0 | 1 | 0.937 | 2.00 | 60 | 0 | 0 | 2 | 32 | 20 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Team Total or Average | 1 | 0 | 0 | 1 | 0.937 | 2.00 | 60 | 0 | 0 | 2 | 32 | 20 | 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 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 14 | 3 | 4 | 0 | 32 | 16 | 6 | 20 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 5 | 14 | 35.71% | 15 | 25 | 60.00% | 5 | 16 | 31.25% | 18 | 10 | 24 | 8 | 17 | 8 | 0.0% | 4.8% | 93.8% | 98.5 | DULL |
_Vs Division | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 14 | 3 | 4 | 0 | 32 | 16 | 6 | 20 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 5 | 14 | 35.71% | 15 | 25 | 60.00% | 5 | 16 | 31.25% | 18 | 10 | 24 | 8 | 17 | 8 | 0.0% | 4.8% | 93.8% | 98.5 | DULL | |
_Vs Conference | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 14 | 3 | 4 | 0 | 32 | 16 | 6 | 20 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 5 | 14 | 35.71% | 15 | 25 | 60.00% | 5 | 16 | 31.25% | 18 | 10 | 24 | 8 | 17 | 8 | 0.0% | 4.8% | 93.8% | 98.5 | DULL | |
_Since Last GM Reset | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 14 | 3 | 4 | 0 | 32 | 16 | 6 | 20 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 5 | 14 | 35.71% | 15 | 25 | 60.00% | 5 | 16 | 31.25% | 18 | 10 | 24 | 8 | 17 | 8 | 0.0% | 4.8% | 93.8% | 98.5 | DULL | |
Total | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 14 | 3 | 4 | 0 | 32 | 16 | 6 | 20 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 5 | 14 | 35.71% | 15 | 25 | 60.00% | 5 | 16 | 31.25% | 18 | 10 | 24 | 8 | 17 | 8 | 0.0% | 4.8% | 93.8% | 98.5 | DULL |
Puck Time | |
---|---|
Offensive Zone | 18 |
Neutral Zone | 17 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 14 |
Neutral Zone Start | 16 |
Defensive Zone Start | 25 |
Puck Time | |
---|---|
With Puck | 27 |
Without Puck | 33 |
Faceoffs | |
---|---|
Faceoffs Won | 25 |
Faceoffs Lost | 30 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 14.0 | 9.57 |
2nd Period | 17.0 | 20.31 |
3rd Period | 21.0 | 30.68 |
Overtime | 21.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.0 | 2.67 |
Overtime | 1.0 | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 1 | 0 |
PP Attempt | 2 |
---|---|
PP Goal | 1 |
PK Attempt | 3 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 21.0 |
Shots Against | 32.0 |
Goals For | 1.0 |
Goals Against | 2.0 |
Hits | 20.0 |
Shots Blocked | 16.0 |
Pim | 6.0 |
![]() | |
Total Salaries | 55,423,554$ |
Projected Total Cap Hit | 55,423,584$ |
Projected Cap Space | 23,576,416$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 578,348$ |
Players Signed (45 – 55) | 48 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 16 |
LTIR Players | 2 |
Titans Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad | D | 24 | 7,500,000$ | 7,419,354$ | 7,500,000$ | RFA | ||||||
Alex Chiasson | LW/RW | 29 | 1,200,000$ | 1,187,096$ | 1,200,000$ | UFA | ||||||
Alex Tuch | RW | 24 | 4,750,000$ | 4,698,924$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | RFA | ||||
Anthony Mantha | LW/RW | 25 | 3,300,000$ | 3,264,516$ | 3,300,000$ | 3,300,000$ | RFA | |||||
Blake Wheeler | C/RW | 33 | 8,000,000$ | 7,913,978$ | 8,000,000$ | UFA | ||||||
Brendan Leipsic | C/LW | 26 | 700,000$ | 692,473$ | 700,000$ | RFA | ||||||
Brett Pesce | D | 25 | 4,025,000$ | 3,981,720$ | 4,025,000$ | 4,025,000$ | RFA | |||||
Cal Clutterbuck | RW | 32 | 2,000,000$ | 1,978,494$ | 2,000,000$ | UFA | ||||||
Filip Chlapik | C | 23 | 728,333$ | 720,501$ | 728,333$ | 728,333$ | RFA | |||||
Jack Campbell | G | 27 | 612,500$ | 605,913$ | 612,500$ | UFA | ||||||
Joel Eriksson Ek | C/LW/RW | 23 | 894,167$ | 884,552$ | 894,167$ | 894,167$ | RFA | |||||
Leo Komarov | C/LW/RW | 33 | 3,270,000$ | 3,234,838$ | 3,270,000$ | UFA | ||||||
Morgan Rielly | D | 26 | 832,500$ | 823,548$ | 832,500$ | RFA | ||||||
Nick Holden | D | 33 | 3,000,000$ | 2,967,741$ | 3,000,000$ | UFA | ||||||
Nikita Tryamkin | D | 25 | 800,000$ | 791,397$ | 800,000$ | 800,000$ | RFA | |||||
Parker Wotherspoon | D | 22 | 732,222$ | 724,348$ | 732,222$ | RFA | ||||||
Pierre-Luc Dubois | C/LW | 22 | 894,166$ | 884,551$ | 894,166$ | 894,166$ | 894,166$ | RFA | ||||
Sean Couturier | C | 27 | 4,766,667$ | 4,715,412$ | 4,766,667$ | 4,766,667$ | 4,766,667$ | UFA | ||||
Shea Theodore | D | 24 | 5,200,000$ | 5,144,086$ | 5,200,000$ | RFA | ||||||
Tristan Jarry | G | 24 | 680,833$ | 673,512$ | 680,833$ | RFA | ||||||
Vincent Trocheck | C | 26 | 600,000$ | 593,548$ | 600,000$ | RFA | ||||||
Yevgeni Kuznetsov | C | 28 | 7,800,000$ | 7,716,129$ | 7,800,000$ | UFA |
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 Nedeljkovic | G | 24 | 475,000$ | 47,013$ | 47,500$ | RFA | ||||||
Bode Wilde | D | 20 | 725,000$ | 71,756$ | 72,500$ | 72,500$ | RFA | |||||
Boris Katchouk | LW | 22 | 833,333$ | 82,479$ | 83,333$ | 83,333$ | 83,333$ | RFA | ||||
Eric Comrie | G | 24 | 645,000$ | 63,838$ | 64,500$ | RFA | ||||||
Grigori Denisenko | LW/RW | 20 | 875,000$ | 86,603$ | 87,500$ | 87,500$ | RFA | |||||
James Greenway | D | 22 | 525,000$ | 51,962$ | 52,500$ | 52,500$ | 52,500$ | RFA | ||||
Jansen Harkins | C | 23 | 767,500$ | 75,963$ | 76,750$ | 76,750$ | RFA | |||||
Jonny Brodzinski | C/RW | 27 | 700,000$ | 69,282$ | 70,000$ | 70,000$ | UFA | |||||
Julius Honka | D | 24 | 575,000$ | 56,910$ | 57,500$ | 57,500$ | 57,500$ | RFA | ||||
Justin Schutz | LW | 20 | 550,000$ | 54,436$ | 55,000$ | RFA | ||||||
Malte Setkov | D | 21 | 550,000$ | 54,436$ | 55,000$ | RFA | ||||||
Mario Kempe | C/LW/RW | 31 | 450,000$ | 44,538$ | 45,000$ | UFA | ||||||
Markus Niemelainen | D | 22 | 600,000$ | 59,385$ | 60,000$ | RFA | ||||||
Max Gildon | D | 21 | 625,000$ | 61,859$ | 62,500$ | RFA | ||||||
Michael McCarron | C/RW | 25 | 700,000$ | 69,282$ | 70,000$ | 70,000$ | RFA | |||||
Nail Yakupov | LW/RW | 26 | 600,000$ | 59,385$ | 60,000$ | RFA | ||||||
Nicolas Meloche | D | 22 | 853,333$ | 84,458$ | 85,333$ | 85,333$ | RFA | |||||
Olivier Rodrigue | G | 19 | 625,000$ | 61,859$ | 62,500$ | 62,500$ | RFA | |||||
Paul Cotter | C/LW | 20 | 500,000$ | 49,487$ | 50,000$ | 50,000$ | RFA | |||||
Pontus Holmberg | C/LW | 21 | 500,000$ | 49,487$ | 50,000$ | RFA | ||||||
Sean Day | D | 22 | 761,666$ | 75,385$ | 76,167$ | 76,167$ | RFA | |||||
T.J. Hensick | C/RW | 34 | 450,000$ | 44,538$ | 45,000$ | UFA | ||||||
Tim Gettinger | LW | 22 | 730,000$ | 72,251$ | 73,000$ | 73,000$ | 73,000$ | RFA | ||||
Tomas Vomacka | G | 21 | 475,000$ | 47,013$ | 47,500$ | RFA | ||||||
Toni Utunen | D | 20 | 550,000$ | 54,436$ | 55,000$ | RFA | ||||||
Yakov Trenin | C/LW/RW | 23 | 730,833$ | 72,334$ | 73,083$ | 73,083$ | RFA |
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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 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 14 | 3 | 4 | 0 | 32 | 16 | 6 | 20 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 5 | 14 | 35.71% | 15 | 25 | 60.00% | 5 | 16 | 31.25% | 18 | 10 | 24 | 8 | 17 | 8 | 0.0% | 4.8% | 93.8% | 98.5 | DULL |
_Vs Division | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 14 | 3 | 4 | 0 | 32 | 16 | 6 | 20 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 5 | 14 | 35.71% | 15 | 25 | 60.00% | 5 | 16 | 31.25% | 18 | 10 | 24 | 8 | 17 | 8 | 0.0% | 4.8% | 93.8% | 98.5 | DULL | |
_Vs Conference | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 14 | 3 | 4 | 0 | 32 | 16 | 6 | 20 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 5 | 14 | 35.71% | 15 | 25 | 60.00% | 5 | 16 | 31.25% | 18 | 10 | 24 | 8 | 17 | 8 | 0.0% | 4.8% | 93.8% | 98.5 | DULL | |
_Since Last GM Reset | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 14 | 3 | 4 | 0 | 32 | 16 | 6 | 20 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 5 | 14 | 35.71% | 15 | 25 | 60.00% | 5 | 16 | 31.25% | 18 | 10 | 24 | 8 | 17 | 8 | 0.0% | 4.8% | 93.8% | 98.5 | DULL | |
Total | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 14 | 3 | 4 | 0 | 32 | 16 | 6 | 20 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 5 | 14 | 35.71% | 15 | 25 | 60.00% | 5 | 16 | 31.25% | 18 | 10 | 24 | 8 | 17 | 8 | 0.0% | 4.8% | 93.8% | 98.5 | DULL |
Puck Time | |
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Offensive Zone | 18 |
Neutral Zone | 17 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 14 |
Neutral Zone Start | 16 |
Defensive Zone Start | 25 |
Puck Time | |
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With Puck | 27 |
Without Puck | 33 |
Faceoffs | |
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Faceoffs Won | 25 |
Faceoffs Lost | 30 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 14.0 | 9.57 |
2nd Period | 17.0 | 20.31 |
3rd Period | 21.0 | 30.68 |
Overtime | 21.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.0 | 2.67 |
Overtime | 1.0 | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 1 | 0 |
PP Attempt | 2 |
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PP Goal | 1 |
PK Attempt | 3 |
PK Goal Against | 1 |
Home | |
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Shots For | 21.0 |
Shots Against | 32.0 |
Goals For | 1.0 |
Goals Against | 2.0 |
Hits | 20.0 |
Shots Blocked | 16.0 |
Pim | 6.0 |
Date | Matchup | Result | Detail | |||||||||||
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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 |
53,786,388$ | 0$ | 55,423,584$ | 23,576,416$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Coniston | ||
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 | 5011 | 3936 | 1550 | 3168 | 819 |
Attendance PCT | 83.52% | 78.72% | 77.50% | 79.20% | 81.90% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
40 | 14484 - 80.47% | 1,018,670$ | 1,018,670$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
53,786,388$ | 53,786,388$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
578,348$ | 289,174$ | 578,348$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
40,746,800$ | 184 | 289,174$ | 53,208,016$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
54,828,444$ | 55,423,584$ | 111,941,220$ | 97,859,576$ |
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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Adam Beckman | ![]() | 2019 | 75 | ||
Alexander Ljungkrantz | ![]() | 2020 | 101 | ||
Anthony Romano | ![]() | 2019 | 187 | ||
Bogdan Trineyev | ![]() | 2020 | 129 | ||
Chase Yoder | ![]() | 2020 | 185 | ||
Cooper Moore | ![]() | 2019 | 131 | ||
Daniel Torgersson | ![]() | 2020 | 45 | ||
Ian Moore | ![]() | 2020 | 73 | ||
Jayden Struble | ![]() | 2019 | 47 | ||
Mason Millman | ![]() | 2019 | 103 | ||
Mathew Hill | ![]() | 2019 | 194 | ||
Ole Julian Bjorgvik Holm | ![]() | 2020 | 157 | ||
Peyton Krebs | ![]() | 2019 | 19 | ||
Rodion Amirov | ![]() | 2020 | 17 |
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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Adam Beckman | ![]() | 2019 | 75 | ||
Alexander Ljungkrantz | ![]() | 2020 | 101 | ||
Anthony Romano | ![]() | 2019 | 187 | ||
Bogdan Trineyev | ![]() | 2020 | 129 | ||
Chase Yoder | ![]() | 2020 | 185 | ||
Cooper Moore | ![]() | 2019 | 131 | ||
Daniel Torgersson | ![]() | 2020 | 45 | ||
Ian Moore | ![]() | 2020 | 73 | ||
Jayden Struble | ![]() | 2019 | 47 | ||
Mason Millman | ![]() | 2019 | 103 | ||
Mathew Hill | ![]() | 2019 | 194 | ||
Ole Julian Bjorgvik Holm | ![]() | 2020 | 157 | ||
Peyton Krebs | ![]() | 2019 | 19 | ||
Rodion Amirov | ![]() | 2020 | 17 |
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