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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Coniston Titans 6-5-0, 12pts · 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 | 87 | 46 | 78 | 83 | 75 | 85 | 95 | 99 | 88 | 81 | 87 | 80 | 53 | 70 | 72 | 84 | 75 | 83 | 27 | 5,250,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 54 | 89 | 82 | 87 | 67 | 88 | 76 | 33 | 73 | 82 | 63 | 63 | 71 | 72 | 78 | 75 | 74 | 29 | 5,700,000$/1yrs | |||
![]() | 77 | C | 100.00 | 61 | 42 | 91 | 75 | 80 | 63 | 83 | 64 | 68 | 70 | 73 | 73 | 25 | 65 | 65 | 72 | 75 | 71 | 29 | 450,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 78 | 43 | 87 | 82 | 66 | 69 | 92 | 79 | 47 | 77 | 68 | 64 | 63 | 71 | 72 | 72 | 75 | 70 | 30 | 1,750,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 77 | 45 | 76 | 85 | 80 | 70 | 95 | 79 | 84 | 74 | 72 | 61 | 80 | 71 | 73 | 73 | 75 | 70 | 26 | 8,500,000$/8yrs | |||
![]() | 0 | C/LW | 100.00 | 92 | 60 | 84 | 76 | 75 | 68 | 94 | 66 | 51 | 57 | 70 | 85 | 25 | 66 | 67 | 64 | 75 | 69 | 27 | 1,700,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 80 | 76 | 90 | 65 | 76 | 65 | 64 | 71 | 50 | 66 | 68 | 74 | 65 | 66 | 68 | 67 | 75 | 68 | 27 | 850,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 43 | 86 | 83 | 73 | 63 | 98 | 69 | 83 | 65 | 68 | 62 | 75 | 69 | 72 | 67 | 75 | 66 | 23 | 4,820,000$/7yrs | |||
![]() | 0 | C/LW | 100.00 | 73 | 42 | 89 | 65 | 62 | 59 | 86 | 63 | 56 | 65 | 64 | 71 | 25 | 55 | 55 | 64 | 75 | 65 | 25 | 800,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 96 | 46 | 84 | 73 | 68 | 63 | 83 | 68 | 45 | 69 | 59 | 66 | 41 | 59 | 59 | 63 | 75 | 64 | 24 | 775,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 79 | 43 | 93 | 72 | 66 | 59 | 79 | 64 | 40 | 60 | 62 | 75 | 75 | 61 | 61 | 61 | 75 | 64 | 26 | 758,333$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 40 | 92 | 82 | 61 | 58 | 87 | 63 | 35 | 65 | 58 | 69 | 53 | 74 | 77 | 61 | 75 | 62 | 32 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 41 | 95 | 85 | 72 | 85 | 68 | 90 | 25 | 81 | 51 | 71 | 77 | 70 | 75 | 86 | 75 | 81 | 28 | 5,200,000$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 56 | 90 | 88 | 87 | 89 | 98 | 67 | 25 | 54 | 53 | 98 | 53 | 76 | 80 | 61 | 75 | 77 | 31 | 3,800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 82 | 45 | 73 | 83 | 81 | 81 | 78 | 72 | 25 | 61 | 49 | 89 | 25 | 74 | 76 | 67 | 75 | 76 | 28 | 7,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 84 | 56 | 82 | 82 | 80 | 83 | 97 | 65 | 25 | 62 | 50 | 88 | 75 | 66 | 68 | 64 | 75 | 74 | 24 | 3,872,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 41 | 91 | 80 | 72 | 76 | 90 | 63 | 25 | 54 | 47 | 84 | 25 | 72 | 73 | 59 | 75 | 69 | 32 | 1,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 44 | 83 | 73 | 70 | 77 | 82 | 74 | 25 | 56 | 48 | 68 | 25 | 47 | 47 | 66 | 75 | 68 | 22 | 725,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 87 | 57 | 72 | 77 | 75 | 69 | 71 | 63 | 25 | 50 | 48 | 73 | 25 | 50 | 50 | 57 | 75 | 64 | 22 | 450,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 77 | 48 | 86 | 78 | 74 | 71 | 86 | 71 | 45 | 65 | 62 | 74 | 50 | 66 | 67 | 68 | 75 | 70 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 77 | 75 | 74 | 82 | 73 | 80 | 88 | 77 | 83 | 77 | 75 | 71 | 72 | 87 | 75 | 84 | 36 | 2,000,000$/1yrs |
![]() | 0 | 100.00 | 74 | 53 | 54 | 81 | 80 | 68 | 75 | 71 | 80 | 74 | 51 | 62 | 63 | 82 | 75 | 75 | 31 | 450,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 1 | 100.00 | 66 | 63 | 63 | 65 | 74 | 58 | 69 | 66 | 65 | 66 | 73 | 60 | 61 | 74 | 75 | 71 | 32 | 1,200,000$/2yrs |
TEAM AVERAGE | 100.00 | 72 | 64 | 64 | 76 | 76 | 69 | 77 | 71 | 76 | 72 | 66 | 64 | 65 | 81 | 75 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Ian Boisvert |
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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 | Joel Eriksson Ek | ![]() | 0 | C | 11 | 7 | 4 | 11 | 1 | 4 | 0 | 19 | 53 | 9 | 25 | 13.21% | 1 | 20.87 | 1 | 2 | 3 | 0 | 0 | 0 | 31 | 1 | 0 | 54.31% | 313 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 |
2 | Evan Rodrigues | ![]() | 0 | C/LW/RW | 11 | 6 | 2 | 8 | 2 | 4 | 0 | 13 | 30 | 6 | 22 | 20.00% | 0 | 17.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 42.86% | 14 | 0 | 0 | 0 | 1 | 0.85 | 0 | 0 |
3 | Aaron Ekblad | ![]() | 0 | D | 11 | 1 | 6 | 7 | 5 | 10 | 0 | 26 | 13 | 6 | 8 | 7.69% | 16 | 21.07 | 1 | 1 | 2 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 |
4 | Anthony Mantha | ![]() | 0 | LW/RW | 11 | 2 | 4 | 6 | 2 | 2 | 0 | 0 | 22 | 9 | 20 | 9.09% | 0 | 17.30 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 12 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 |
5 | Shea Theodore | ![]() | 0 | D | 11 | 0 | 6 | 6 | -2 | 0 | 0 | 2 | 13 | 3 | 13 | 0.00% | 11 | 24.01 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 |
6 | Ryker Evans | ![]() | 0 | D | 11 | 0 | 5 | 5 | 0 | 14 | 0 | 30 | 9 | 3 | 0 | 0.00% | 3 | 14.60 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 |
7 | Colton Parayko | ![]() | 0 | D | 11 | 0 | 5 | 5 | -3 | 12 | 0 | 38 | 20 | 5 | 16 | 0.00% | 18 | 23.32 | 0 | 1 | 1 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 |
8 | Pierre-Luc Dubois | ![]() | 0 | C/LW | 11 | 1 | 4 | 5 | 3 | 0 | 0 | 12 | 20 | 3 | 19 | 5.00% | 0 | 16.44 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 1 | 0 | 60.38% | 159 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 |
9 | Denis Guryanov | ![]() | 0 | RW | 11 | 3 | 1 | 4 | 2 | 2 | 0 | 10 | 14 | 4 | 15 | 21.43% | 2 | 14.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 54.55% | 11 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 |
10 | Boris Katchouk | ![]() | 0 | LW | 11 | 1 | 3 | 4 | 3 | 4 | 0 | 13 | 13 | 1 | 11 | 7.69% | 1 | 9.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 |
11 | K'Andre Miller | ![]() | 0 | D | 11 | 0 | 3 | 3 | 5 | 10 | 0 | 16 | 17 | 4 | 6 | 0.00% | 9 | 21.56 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 |
12 | Conor Sheary | ![]() | 0 | LW/RW | 11 | 3 | 0 | 3 | -3 | 0 | 0 | 2 | 13 | 1 | 6 | 23.08% | 0 | 10.37 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 |
13 | Trevor van Riemsdyk | ![]() | 0 | D | 11 | 0 | 3 | 3 | 0 | 0 | 0 | 3 | 6 | 2 | 6 | 0.00% | 6 | 15.41 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 |
14 | Jesperi Kotkaniemi | ![]() | 0 | C/LW | 11 | 3 | 0 | 3 | 2 | 0 | 0 | 4 | 15 | 3 | 15 | 20.00% | 0 | 13.48 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 51.92% | 104 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 |
15 | Yakov Trenin | ![]() | 0 | C/LW | 11 | 1 | 0 | 1 | 1 | 13 | 5 | 16 | 30 | 4 | 19 | 3.33% | 0 | 20.13 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 1 | 0 | 76.92% | 13 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 |
16 | Mark Jankowski | ![]() | 77 | C | 11 | 0 | 1 | 1 | -4 | 0 | 0 | 4 | 19 | 4 | 8 | 0.00% | 0 | 13.76 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 56.35% | 181 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 |
17 | Paul Cotter | ![]() | 0 | C/LW | 11 | 0 | 0 | 0 | -3 | 4 | 0 | 15 | 7 | 0 | 11 | 0.00% | 0 | 10.08 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 27.27% | 11 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Pontus Holmberg | ![]() | 0 | C/LW | 11 | 0 | 0 | 0 | 3 | 0 | 0 | 5 | 8 | 3 | 2 | 0.00% | 0 | 9.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 198 | 28 | 47 | 75 | 14 | 79 | 5 | 228 | 322 | 70 | 222 | 8.70% | 67 | 16.33 | 3 | 4 | 7 | 313 | 0 | 0 | 0 | 225 | 6 | 1 | 54.94% | 830 | 0 | 0 | 0 | 1 | 0.46 | 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 | Cam Talbot | ![]() | 11 | 6 | 5 | 0 | 0.898 | 2.46 | 660 | 2 | 0 | 27 | 264 | 0 | 0 | 1 | 0.000 | 0 | 11 | 0 | 0 | 0 | 0 |
Team Total or Average | 11 | 6 | 5 | 0 | 0.898 | 2.46 | 660 | 2 | 0 | 27 | 264 | 0 | 0 | 1 | 0.000 | 0 | 11 | 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 | ![]() | 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 | 1 | 2 | 0 | 0 | 23.5 | 13 | 19 | 15 | 0 | 29.5 | 9.5 | 9.00 | 18.5 | 4.00 | 0.50 | 12.50% | 3.50 | 0.00 | 100.00% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 22.00 | 14.50 | 24.50 | 8.00 | 13.00 | 6.00 | 22.2% | 6.4% | 88.1% | 94.5 | Unlucky |
2 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3.00 | 2.00 | 1.00 | 2 | 1.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 1 | 0 | 1 | 1 | 35.0 | 5 | 15 | 14 | 1 | 24.0 | 8.0 | 8.00 | 28.0 | 6.00 | 1.00 | 16.67% | 3.00 | 1.00 | 66.67% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 26.00 | 17.00 | 22.00 | 7.00 | 12.00 | 6.00 | 66.7% | 8.6% | 91.7% | 100.2 | DULL |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 2.50 | 0.00 | 2 | 0.500 | 2.5 | 4.0 | 6.5 | 0 | 0 | 3 | 1 | 1 | 0 | 26.5 | 20 | 15 | 18 | 0 | 16.5 | 3.5 | 5.00 | 22.5 | 2.50 | 0.00 | 0.00% | 2.00 | 0.50 | 75.00% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 26.00 | 18.50 | 20.50 | 7.00 | 12.50 | 6.50 | 55.6% | 9.4% | 84.8% | 94.3 | FUN |
4 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3.50 | 2.50 | 1.00 | 4 | 1.000 | 3.5 | 5.5 | 9.0 | 0 | 0 | 5 | 1 | 1 | 0 | 27.5 | 16 | 23 | 16 | 0 | 30.0 | 7.5 | 7.50 | 18.0 | 4.00 | 0.00 | 0.00% | 2.50 | 1.00 | 60.00% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 22.50 | 15.50 | 24.00 | 8.00 | 13.00 | 6.50 | 70.0% | 12.7% | 91.7% | 104.4 | LUCKY |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.50 | 2.00 | -0.50 | 2 | 0.500 | 1.5 | 2.0 | 3.5 | 0 | 0 | 2 | 1 | 0 | 0 | 31.0 | 18 | 14 | 30 | 0 | 23.5 | 5.5 | 8.00 | 20.5 | 2.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 25.50 | 18.50 | 21.50 | 7.00 | 12.00 | 6.00 | 60.0% | 4.8% | 91.5% | 96.3 | DULL |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 2.50 | 1.00 | 2 | 0.500 | 3.5 | 6.5 | 10.0 | 1 | 0 | 1 | 3 | 3 | 0 | 35.0 | 19 | 16 | 35 | 0 | 21.0 | 3.5 | 7.00 | 20.5 | 2.00 | 0.50 | 25.00% | 3.50 | 0.00 | 100.00% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 23.50 | 16.50 | 24.00 | 7.00 | 12.00 | 6.00 | 54.5% | 10.0% | 88.1% | 98.1 | FUN |
_Vs Division | 11 | 5 | 5 | 0 | 1 | 0 | 0 | 0 | 2.55 | 2.55 | 0.00 | 12 | 0.545 | 2.5 | 4.3 | 6.8 | 1 | 0 | 13 | 8 | 6 | 1 | 29.3 | 91 | 102 | 128 | 1 | 24.1 | 6.1 | 7.36 | 20.7 | 3.18 | 0.27 | 8.57% | 3.09 | 0.55 | 82.35% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 24.27 | 16.91 | 23.00 | 7.45 | 12.64 | 6.45 | 53.2% | 8.7% | 89.4% | 98.1 | Unlucky | |
_Vs Conference | 11 | 5 | 5 | 0 | 1 | 0 | 0 | 0 | 2.55 | 2.55 | 0.00 | 12 | 0.545 | 2.5 | 4.3 | 6.8 | 1 | 0 | 13 | 8 | 6 | 1 | 29.3 | 91 | 102 | 128 | 1 | 24.1 | 6.1 | 7.36 | 20.7 | 3.18 | 0.27 | 8.57% | 3.09 | 0.55 | 82.35% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 24.27 | 16.91 | 23.00 | 7.45 | 12.64 | 6.45 | 53.2% | 8.7% | 89.4% | 98.1 | Unlucky | |
_Since Last GM Reset | 11 | 5 | 5 | 0 | 1 | 0 | 0 | 0 | 2.55 | 2.55 | 0.00 | 12 | 0.545 | 2.5 | 4.3 | 6.8 | 1 | 0 | 13 | 8 | 6 | 1 | 29.3 | 91 | 102 | 128 | 1 | 24.1 | 6.1 | 7.36 | 20.7 | 3.18 | 0.27 | 8.57% | 3.09 | 0.55 | 82.35% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 24.27 | 16.91 | 23.00 | 7.45 | 12.64 | 6.45 | 53.2% | 8.7% | 89.4% | 98.1 | Unlucky | |
Total | 11 | 5 | 5 | 0 | 1 | 0 | 0 | 0 | 2.55 | 2.55 | 0.00 | 12 | 0.545 | 2.5 | 4.3 | 6.8 | 1 | 0 | 13 | 8 | 6 | 1 | 29.3 | 91 | 102 | 128 | 1 | 24.1 | 6.1 | 7.36 | 20.7 | 3.18 | 0.27 | 8.57% | 3.09 | 0.55 | 82.35% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 24.27 | 16.91 | 23.00 | 7.45 | 12.64 | 6.45 | 53.2% | 8.7% | 89.4% | 98.1 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 354 |
Neutral Zone Start | 144 |
Defensive Zone Start | 331 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 456 |
Faceoffs Lost | 373 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.3 | 9.57 |
2nd Period | 17.5 | 20.31 |
3rd Period | 29.2 | 30.68 |
Overtime | 29.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 24 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 2 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 35 |
---|---|
PP Goal | 3 |
PK Attempt | 34 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 29.3 |
Shots Against | 24.1 |
Goals For | 2.5 |
Goals Against | 2.5 |
Hits | 20.7 |
Shots Blocked | 6.1 |
Pim | 7.4 |
![]() | |
Total Salaries | 62,300,333$ |
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) | 55 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 18 |
LTIR Players | 0 |
Titans Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad | D | 28 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||||
Anthony Mantha | LW/RW | 29 | 5,700,000$ | 5,700,000$ | 5,700,000$ | UFA | ||||||
Boris Katchouk | LW | 26 | 758,333$ | 758,333$ | 758,333$ | RFA | ||||||
Cam Talbot | G | 36 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||||
Casey DeSmith | G | 32 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Colton Parayko | D | 31 | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | UFA | |||||
Conor Sheary | LW/RW | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
David Rittich | G | 31 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Denis Guryanov | RW | 27 | 850,000$ | 850,000$ | 850,000$ | UFA | ||||||
Evan Rodrigues | C/LW/RW | 30 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | ||||
Jayden Struble | D | 22 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | RFA | |||||
Jesperi Kotkaniemi | C/LW | 23 | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | UFA |
Joel Eriksson Ek | C | 27 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |
K'Andre Miller | D | 24 | 3,872,000$ | 3,872,000$ | 3,872,000$ | 3,872,000$ | RFA | |||||
Mark Jankowski | C | 29 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Paul Cotter | C/LW | 24 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 775,000$ | RFA | ||||
Pierre-Luc Dubois | C/LW | 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$ | |
Pontus Holmberg | C/LW | 25 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Ryker Evans | D | 22 | 725,000$ | 725,000$ | 725,000$ | RFA | ||||||
Shea Theodore | D | 28 | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | UFA | |||||
Trevor van Riemsdyk | D | 32 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||||
Yakov Trenin | C/LW | 27 | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman | C/LW | 23 | 894,167$ | 89,417$ | 89,417$ | RFA | ||||||
Alex Jefferies | LW | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Alexander Ljungkrantz | LW/RW | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Bogdan Trineyev | LW | 22 | 859,167$ | 85,917$ | 85,917$ | 85,917$ | RFA | |||||
Conor Geekie | C | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Daniil But | LW | 19 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
David Goyette | C | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Devin Kaplan | RW | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Elias Pettersson 2004 | D | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Elias Salomonsson | D | 19 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Ethan Gauthier | RW | 19 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Grigori Denisenko | LW | 24 | 775,000$ | 77,500$ | 77,500$ | 77,500$ | RFA | |||||
Hakon Hanelt | LW/RW/D | 21 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Ian Moore | D | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Isak Rosen | C/LW/RW | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Jack Campbell | G | 32 | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | UFA | |||||
Jansen Harkins | C | 27 | 850,000$ | 85,000$ | 85,000$ | UFA | ||||||
Joseph Willis | C | 19 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | |||||
Luca Munzenberger | D | 21 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Ludovic Waeber | G | 27 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | |||||
Markus Niemelainen | D | 26 | 762,500$ | 76,250$ | 76,250$ | RFA | ||||||
Mason Millman | D | 22 | 818,333$ | 81,833$ | 81,833$ | RFA | ||||||
Matt Coronato | LW/RW | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Michael Fisher | D | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Ole Julian Bjorgvik Holm | D | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Oliver Kapanen | C | 20 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Olivier Rodrigue | G | 23 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Rasmus Kumpulainen | C | 18 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Sean Day | D | 26 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Tim Gettinger | LW | 26 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Tristan Broz | C | 21 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Tyson Galloway | D | 21 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Vadim Moroz | LW/RW | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | 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 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 3.50 | -2.00 | 0 | 0.000 | 1.5 | 2.5 | 4.0 | 0 | 0 | 1 | 2 | 0 | 0 | 23.5 | 13 | 19 | 15 | 0 | 29.5 | 9.5 | 9.00 | 18.5 | 4.00 | 0.50 | 12.50% | 3.50 | 0.00 | 100.00% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 22.00 | 14.50 | 24.50 | 8.00 | 13.00 | 6.00 | 22.2% | 6.4% | 88.1% | 94.5 | Unlucky |
2 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3.00 | 2.00 | 1.00 | 2 | 1.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 1 | 0 | 1 | 1 | 35.0 | 5 | 15 | 14 | 1 | 24.0 | 8.0 | 8.00 | 28.0 | 6.00 | 1.00 | 16.67% | 3.00 | 1.00 | 66.67% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 26.00 | 17.00 | 22.00 | 7.00 | 12.00 | 6.00 | 66.7% | 8.6% | 91.7% | 100.2 | DULL |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 2.50 | 0.00 | 2 | 0.500 | 2.5 | 4.0 | 6.5 | 0 | 0 | 3 | 1 | 1 | 0 | 26.5 | 20 | 15 | 18 | 0 | 16.5 | 3.5 | 5.00 | 22.5 | 2.50 | 0.00 | 0.00% | 2.00 | 0.50 | 75.00% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 26.00 | 18.50 | 20.50 | 7.00 | 12.50 | 6.50 | 55.6% | 9.4% | 84.8% | 94.3 | FUN |
4 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3.50 | 2.50 | 1.00 | 4 | 1.000 | 3.5 | 5.5 | 9.0 | 0 | 0 | 5 | 1 | 1 | 0 | 27.5 | 16 | 23 | 16 | 0 | 30.0 | 7.5 | 7.50 | 18.0 | 4.00 | 0.00 | 0.00% | 2.50 | 1.00 | 60.00% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 22.50 | 15.50 | 24.00 | 8.00 | 13.00 | 6.50 | 70.0% | 12.7% | 91.7% | 104.4 | LUCKY |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.50 | 2.00 | -0.50 | 2 | 0.500 | 1.5 | 2.0 | 3.5 | 0 | 0 | 2 | 1 | 0 | 0 | 31.0 | 18 | 14 | 30 | 0 | 23.5 | 5.5 | 8.00 | 20.5 | 2.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 25.50 | 18.50 | 21.50 | 7.00 | 12.00 | 6.00 | 60.0% | 4.8% | 91.5% | 96.3 | DULL |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 2.50 | 1.00 | 2 | 0.500 | 3.5 | 6.5 | 10.0 | 1 | 0 | 1 | 3 | 3 | 0 | 35.0 | 19 | 16 | 35 | 0 | 21.0 | 3.5 | 7.00 | 20.5 | 2.00 | 0.50 | 25.00% | 3.50 | 0.00 | 100.00% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 23.50 | 16.50 | 24.00 | 7.00 | 12.00 | 6.00 | 54.5% | 10.0% | 88.1% | 98.1 | FUN |
_Vs Division | 11 | 5 | 5 | 0 | 1 | 0 | 0 | 0 | 2.55 | 2.55 | 0.00 | 12 | 0.545 | 2.5 | 4.3 | 6.8 | 1 | 0 | 13 | 8 | 6 | 1 | 29.3 | 91 | 102 | 128 | 1 | 24.1 | 6.1 | 7.36 | 20.7 | 3.18 | 0.27 | 8.57% | 3.09 | 0.55 | 82.35% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 24.27 | 16.91 | 23.00 | 7.45 | 12.64 | 6.45 | 53.2% | 8.7% | 89.4% | 98.1 | Unlucky | |
_Vs Conference | 11 | 5 | 5 | 0 | 1 | 0 | 0 | 0 | 2.55 | 2.55 | 0.00 | 12 | 0.545 | 2.5 | 4.3 | 6.8 | 1 | 0 | 13 | 8 | 6 | 1 | 29.3 | 91 | 102 | 128 | 1 | 24.1 | 6.1 | 7.36 | 20.7 | 3.18 | 0.27 | 8.57% | 3.09 | 0.55 | 82.35% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 24.27 | 16.91 | 23.00 | 7.45 | 12.64 | 6.45 | 53.2% | 8.7% | 89.4% | 98.1 | Unlucky | |
_Since Last GM Reset | 11 | 5 | 5 | 0 | 1 | 0 | 0 | 0 | 2.55 | 2.55 | 0.00 | 12 | 0.545 | 2.5 | 4.3 | 6.8 | 1 | 0 | 13 | 8 | 6 | 1 | 29.3 | 91 | 102 | 128 | 1 | 24.1 | 6.1 | 7.36 | 20.7 | 3.18 | 0.27 | 8.57% | 3.09 | 0.55 | 82.35% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 24.27 | 16.91 | 23.00 | 7.45 | 12.64 | 6.45 | 53.2% | 8.7% | 89.4% | 98.1 | Unlucky | |
Total | 11 | 5 | 5 | 0 | 1 | 0 | 0 | 0 | 2.55 | 2.55 | 0.00 | 12 | 0.545 | 2.5 | 4.3 | 6.8 | 1 | 0 | 13 | 8 | 6 | 1 | 29.3 | 91 | 102 | 128 | 1 | 24.1 | 6.1 | 7.36 | 20.7 | 3.18 | 0.27 | 8.57% | 3.09 | 0.55 | 82.35% | 0 | 202 | 354 | 57.06% | 186 | 331 | 56.19% | 68 | 144 | 47.22% | 24.27 | 16.91 | 23.00 | 7.45 | 12.64 | 6.45 | 53.2% | 8.7% | 89.4% | 98.1 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 354 |
Neutral Zone Start | 144 |
Defensive Zone Start | 331 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 456 |
Faceoffs Lost | 373 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.3 | 9.57 |
2nd Period | 17.5 | 20.31 |
3rd Period | 29.2 | 30.68 |
Overtime | 29.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 24 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 2 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 35 |
---|---|
PP Goal | 3 |
PK Attempt | 34 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 29.3 |
Shots Against | 24.1 |
Goals For | 2.5 |
Goals Against | 2.5 |
Hits | 20.7 |
Shots Blocked | 6.1 |
Pim | 7.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | ![]() | @ | ![]() | MET3,TIT4 | RECAP | |||||||||
4 | ![]() | @ | ![]() | TIT3,MAV2 (OT) | RECAP | |||||||||
7 | ![]() | @ | ![]() | TIT1,BUT3 | RECAP | |||||||||
9 | ![]() | @ | ![]() | BUT1,TIT2 | RECAP | |||||||||
12 | ![]() | @ | ![]() | TIT3,MET2 | RECAP | |||||||||
13 | ![]() | @ | ![]() | TIT2,STO4 | RECAP | |||||||||
16 | ![]() | @ | ![]() | WOL5,TIT2 | RECAP | |||||||||
19 | ![]() | @ | ![]() | TIT5,AVG1 | RECAP | |||||||||
21 | ![]() | @ | ![]() | AVG4,TIT2 | RECAP | |||||||||
25 | ![]() | @ | ![]() | STO1,TIT3 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
26 | ![]() | @ | ![]() | TIT1,WOL2 | RECAP | |||||||||
31 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
62,300,333$ | 0$ | 0$ | 83,500,000$ |
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 | 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 |
1 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
62,300,333$ | 62,300,333$ | 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$ | 115,686,871$ | 115,686,871$ |
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 |
---|---|---|---|---|---|
Alexis Bernier | ![]() | 2024 | 97 | 0 | |
Christian Humphreys | ![]() | 2024 | 132 | 0 | |
Colin Ralph | ![]() | 2024 | 63 | 0 | |
Eerik Wallenius | ![]() | 2024 | 181 | 0 | |
Filip Eriksson | ![]() | 2023 | 184 | - | Link |
Max Plante | ![]() | 2024 | 41 | 0 | |
Michael Hage | ![]() | 2024 | 18 | 0 | |
Simon-Pier Brunet | ![]() | 2024 | 125 | 0 | |
Timofei Obvintsev | ![]() | 2024 | 153 | 0 | |
Yevgeni Volokhin | ![]() | 2023 | 156 | - | 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 |
---|---|---|---|---|---|
Alexis Bernier | ![]() | 2024 | 97 | 0 | |
Christian Humphreys | ![]() | 2024 | 132 | 0 | |
Colin Ralph | ![]() | 2024 | 63 | 0 | |
Eerik Wallenius | ![]() | 2024 | 181 | 0 | |
Filip Eriksson | ![]() | 2023 | 184 | - | Link |
Max Plante | ![]() | 2024 | 41 | 0 | |
Michael Hage | ![]() | 2024 | 18 | 0 | |
Simon-Pier Brunet | ![]() | 2024 | 125 | 0 | |
Timofei Obvintsev | ![]() | 2024 | 153 | 0 | |
Yevgeni Volokhin | ![]() | 2023 | 156 | - | Link |
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