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Full Scoreboard >> |
![]() | Stuttgart Bisons 1-0-0, 2pts · 3rd in World 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 | LW/RW | 100.00 | 66 | 39 | 80 | 19 | 44 | 76 | 64 | 84 | 25 | 86 | 89 | 57 | 25 | 48 | 48 | 83 | 75 | 83 | 21 | 875,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 21 | 37 | 85 | 20 | 63 | 78 | 78 | 87 | 58 | 79 | 87 | 54 | 48 | 64 | 65 | 79 | 75 | 79 | 24 | 894,167$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 53 | 40 | 84 | 31 | 74 | 73 | 82 | 79 | 76 | 94 | 79 | 62 | 63 | 62 | 63 | 74 | 75 | 74 | 23 | 500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 57 | 48 | 83 | 41 | 62 | 64 | 92 | 64 | 37 | 75 | 79 | 75 | 75 | 66 | 67 | 71 | 75 | 71 | 26 | 887,500$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 60 | 39 | 85 | 38 | 58 | 64 | 83 | 72 | 57 | 76 | 82 | 51 | 41 | 70 | 72 | 69 | 75 | 69 | 32 | 1,050,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 76 | 89 | 59 | 38 | 78 | 55 | 71 | 71 | 25 | 75 | 81 | 55 | 25 | 66 | 66 | 69 | 75 | 69 | 29 | 450,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 32 | 38 | 80 | 43 | 66 | 58 | 80 | 62 | 36 | 71 | 80 | 71 | 25 | 55 | 55 | 68 | 75 | 68 | 24 | 741,667$/2yrs | |||
![]() | 0 | RW | 100.00 | 94 | 63 | 74 | 43 | 76 | 56 | 64 | 71 | 36 | 74 | 78 | 58 | 25 | 65 | 66 | 68 | 75 | 68 | 26 | 450,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 89 | 55 | 48 | 81 | 54 | 66 | 57 | 32 | 69 | 79 | 54 | 25 | 59 | 59 | 64 | 75 | 64 | 25 | 750,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 48 | 60 | 77 | 51 | 60 | 73 | 75 | 75 | 50 | 79 | 75 | 56 | 59 | 61 | 61 | 61 | 75 | 61 | 23 | 750,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 63 | 61 | 74 | 43 | 82 | 81 | 95 | 65 | 65 | 68 | 67 | 56 | 70 | 58 | 47 | 59 | 75 | 59 | 22 | 800,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 62 | 62 | 84 | 44 | 86 | 80 | 95 | 64 | 66 | 65 | 67 | 55 | 70 | 74 | 61 | 56 | 75 | 56 | 30 | 500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 43 | 39 | 82 | 36 | 69 | 90 | 88 | 89 | 25 | 91 | 78 | 80 | 25 | 79 | 83 | 82 | 75 | 82 | 30 | 7,150,000$/3yrs | |||
![]() | 0 | D | 100.00 | 55 | 40 | 83 | 46 | 72 | 76 | 82 | 77 | 25 | 73 | 74 | 86 | 25 | 52 | 52 | 77 | 75 | 77 | 24 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 50 | 39 | 78 | 39 | 67 | 75 | 68 | 88 | 25 | 99 | 73 | 55 | 25 | 60 | 60 | 74 | 75 | 74 | 26 | 725,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 39 | 81 | 41 | 60 | 64 | 63 | 86 | 25 | 91 | 75 | 57 | 25 | 46 | 46 | 72 | 75 | 72 | 20 | 875,000$/2yrs | |||
![]() | 0 | D | 100.00 | 57 | 67 | 77 | 51 | 68 | 73 | 78 | 75 | 25 | 79 | 75 | 58 | 43 | 62 | 63 | 63 | 75 | 63 | 26 | 700,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 97.04 | 80 | 40 | 77 | 31 | 60 | 58 | 54 | 76 | 36 | 90 | 80 | 61 | 25 | 57 | 57 | 75 | 75 | 75 | 24 | 925,000$/1yrs | |||
TEAM AVERAGE | 99.83 | 58 | 52 | 78 | 39 | 68 | 69 | 77 | 75 | 40 | 80 | 78 | 61 | 40 | 61 | 61 | 70 | 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 | 89 | 95 | 91 | 84 | 96 | 99 | 84 | 98 | 97 | 98 | 89 | 65 | 66 | 81 | 75 | 81 | 26 | 6,166,666$/2yrs |
![]() | 0 | 100.00 | 71 | 77 | 77 | 80 | 94 | 91 | 87 | 95 | 95 | 92 | 95 | 76 | 81 | 73 | 75 | 73 | 33 | 6,200,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 80 | 86 | 84 | 82 | 95 | 95 | 86 | 97 | 96 | 95 | 92 | 71 | 74 | 77 | 75 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Joe Sacco | 70 | 81 | 76 | 67 | 77 | 71 | 73 | USA | 51 | 2 | 0$ |
General Manager | Jose Oliveira |
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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 | Pavel Zacha | ![]() | 0 | C/LW | 1 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | 0.00% | 0 | 18.25 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 14 | 0 | 0 | 0 | 0 | 2.19 | 0 | 0 |
2 | Kailer Yamamoto | ![]() | 0 | LW/RW | 1 | 1 | 1 | 2 | 0 | 2 | 0 | 4 | 3 | 2 | 2 | 33.33% | 0 | 19.73 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 2.03 | 0 | 0 |
3 | William Nylander | ![]() | 0 | RW | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 4 | 1 | 2 | 0.00% | 0 | 20.82 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 |
4 | Vladislav Gavrikov | ![]() | 0 | D | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 | 1 | 1 | 20.00% | 2 | 24.67 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.81 | 0 | 0 |
5 | Nicolas Deslauriers | ![]() | 0 | LW/RW | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 0 | 0 | 50.00% | 0 | 14.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 1.38 | 0 | 0 |
6 | Brock McGinn | ![]() | 0 | LW/RW | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 1 | 15.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 1.30 | 0 | 0 |
7 | Derrick Pouliot | ![]() | 0 | D | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0.00% | 1 | 14.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 1.40 | 0 | 0 |
8 | Mathieu Perreault | ![]() | 0 | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 18.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27.27% | 11 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
9 | Teemu Hartikainen | ![]() | 0 | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 5 | 5 | 1 | 0 | 0 | 0 | 0.00% | 0 | 10.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62.50% | 8 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
10 | Daniel Sprong | ![]() | 0 | LW/RW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 11.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
11 | Alex Pietrangelo | ![]() | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 0.00% | 2 | 24.67 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
12 | Mason Appleton | ![]() | 0 | C/LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 2 | 1 | 1 | 0.00% | 0 | 12.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 12 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
13 | Brett Ritchie | ![]() | 0 | RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 4 | 0 | 2 | 1 | 0.00% | 0 | 11.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
14 | Mike Reilly | ![]() | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 21.03 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 |
15 | John Hayden | ![]() | 0 | LW/RW | 1 | 0 | 0 | 0 | -1 | 5 | 5 | 0 | 0 | 0 | 1 | 0.00% | 0 | 12.00 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
16 | Jesse Puljujarvi | ![]() | 0 | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 10.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
17 | Rasmus Sandin | ![]() | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 2 | 21.03 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 17 | 3 | 6 | 9 | -5 | 14 | 10 | 15 | 24 | 10 | 11 | 12.50% | 9 | 16.57 | 2 | 4 | 6 | 10 | 0 | 0 | 0 | 15 | 1 | 1 | 32.08% | 53 | 2 | 5 | 0 | 0 | 0.64 | 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 | Connor Hellebuyck | ![]() | 1 | 1 | 0 | 0 | 0.933 | 2.00 | 60 | 0 | 0 | 2 | 30 | 12 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Team Total or Average | 1 | 1 | 0 | 0 | 0.933 | 2.00 | 60 | 0 | 0 | 2 | 30 | 12 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 24 | 6 | 5 | 13 | 0 | 30 | 11 | 14 | 15 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 6 | 17 | 35.29% | 10 | 26 | 38.46% | 1 | 10 | 10.00% | 19 | 11 | 24 | 8 | 15 | 7 | 33.3% | 12.5% | 93.3% | 105.8 | LUCKY |
_Vs Division | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 24 | 6 | 5 | 13 | 0 | 30 | 11 | 14 | 15 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 6 | 17 | 35.29% | 10 | 26 | 38.46% | 1 | 10 | 10.00% | 19 | 11 | 24 | 8 | 15 | 7 | 33.3% | 12.5% | 93.3% | 105.8 | LUCKY | |
_Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 24 | 6 | 5 | 13 | 0 | 30 | 11 | 14 | 15 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 6 | 17 | 35.29% | 10 | 26 | 38.46% | 1 | 10 | 10.00% | 19 | 11 | 24 | 8 | 15 | 7 | 33.3% | 12.5% | 93.3% | 105.8 | LUCKY | |
_Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 24 | 6 | 5 | 13 | 0 | 30 | 11 | 14 | 15 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 6 | 17 | 35.29% | 10 | 26 | 38.46% | 1 | 10 | 10.00% | 19 | 11 | 24 | 8 | 15 | 7 | 33.3% | 12.5% | 93.3% | 105.8 | LUCKY | |
Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 24 | 6 | 5 | 13 | 0 | 30 | 11 | 14 | 15 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 6 | 17 | 35.29% | 10 | 26 | 38.46% | 1 | 10 | 10.00% | 19 | 11 | 24 | 8 | 15 | 7 | 33.3% | 12.5% | 93.3% | 105.8 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 19 |
Neutral Zone | 15 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 17 |
Neutral Zone Start | 10 |
Defensive Zone Start | 26 |
Puck Time | |
---|---|
With Puck | 27 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 17 |
Faceoffs Lost | 36 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 6.0 | 9.57 |
2nd Period | 11.0 | 20.31 |
3rd Period | 24.0 | 30.68 |
Overtime | 24.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 1 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 2 |
---|---|
PP Goal | 2 |
PK Attempt | 2 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 24.0 |
Shots Against | 30.0 |
Goals For | 3.0 |
Goals Against | 2.0 |
Hits | 15.0 |
Shots Blocked | 11.0 |
Pim | 14.0 |
![]() | |
Total Salaries | 37,840,125$ |
Projected Total Cap Hit | 37,846,065$ |
Projected Cap Space | 41,153,935$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 397,070$ |
Players Signed (45 – 55) | 47 |
Goalies Signed (min. 6) | 7 |
Defensemen Signed (min. 16) | 16 |
LTIR Players | 0 |
Bisons 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 Pietrangelo | D | 30 | 7,150,000$ | 7,073,118$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | UFA | ||||
Brett Ritchie | RW | 26 | 450,000$ | 445,161$ | 450,000$ | RFA | ||||||
Brock McGinn | LW/RW | 26 | 887,500$ | 877,956$ | 887,500$ | 887,500$ | UFA | |||||
Connor Hellebuyck | G | 26 | 6,166,666$ | 6,100,357$ | 6,166,666$ | 6,166,666$ | UFA | |||||
Daniel Sprong | LW/RW | 23 | 750,000$ | 741,935$ | 750,000$ | 750,000$ | 750,000$ | RFA | ||||
Derrick Pouliot | D | 26 | 700,000$ | 692,473$ | 700,000$ | 700,000$ | 700,000$ | UFA | ||||
Jayce Hawryluk | C/RW | 24 | 925,000$ | 915,053$ | 925,000$ | RFA | ||||||
Jesse Puljujarvi | RW | 22 | 800,000$ | 791,397$ | 800,000$ | 800,000$ | 800,000$ | RFA | ||||
John Hayden | LW/RW | 25 | 750,000$ | 741,935$ | 750,000$ | 750,000$ | RFA | |||||
Jonathan Quick | G | 33 | 6,200,000$ | 6,133,333$ | 6,200,000$ | UFA | ||||||
Kailer Yamamoto | LW/RW | 21 | 875,000$ | 865,591$ | 875,000$ | RFA | ||||||
Mason Appleton | C/LW/RW | 24 | 741,667$ | 733,692$ | 741,667$ | 741,667$ | RFA | |||||
Mathieu Perreault | C/LW | 32 | 1,050,000$ | 1,038,709$ | 1,050,000$ | UFA | ||||||
Mike Reilly | D | 26 | 725,000$ | 717,204$ | 725,000$ | RFA | ||||||
Nicolas Deslauriers | LW/RW | 29 | 450,000$ | 445,161$ | 450,000$ | UFA | ||||||
Pavel Zacha | C/LW | 23 | 500,000$ | 494,623$ | 500,000$ | RFA | ||||||
Rasmus Sandin | D | 20 | 875,000$ | 865,591$ | 875,000$ | 875,000$ | RFA | |||||
Teemu Hartikainen | C/LW/RW | 30 | 500,000$ | 494,623$ | 500,000$ | UFA | ||||||
Vladislav Gavrikov | D | 24 | 925,000$ | 915,053$ | 925,000$ | 925,000$ | RFA | |||||
William Nylander | RW | 24 | 894,167$ | 884,552$ | 894,167$ | RFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ness | D | 30 | 650,000$ | 64,333$ | 65,000$ | UFA | ||||||
Alan Lyszczarczyk | C/LW/RW | 22 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Alex Lintuniemi | D | 24 | 650,000$ | 64,333$ | 65,000$ | 65,000$ | RFA | |||||
Alexander Khovanov | C | 20 | 625,000$ | 61,859$ | 62,500$ | 62,500$ | RFA | |||||
Casey Fitzgerald | D | 23 | 858,750$ | 84,994$ | 85,875$ | 85,875$ | RFA | |||||
Casey Nelson | D | 27 | 700,000$ | 69,282$ | 70,000$ | UFA | ||||||
Daniil Zhuravlyov | D | 20 | 475,000$ | 47,013$ | 47,500$ | 47,500$ | RFA | |||||
Felix Sandstrom | G | 23 | 550,000$ | 54,436$ | 55,000$ | RFA | ||||||
Graham McPhee | LW | 21 | 500,000$ | 49,487$ | 50,000$ | RFA | ||||||
Greg Pateryn | D | 30 | 575,000$ | 56,910$ | 57,500$ | UFA | ||||||
Jack Rathbone | D | 21 | 550,000$ | 54,436$ | 55,000$ | RFA | ||||||
Jake Wise | C | 20 | 625,000$ | 61,859$ | 62,500$ | 62,500$ | RFA | |||||
Joel Hofer | G | 19 | 550,000$ | 54,436$ | 55,000$ | 55,000$ | RFA | |||||
Joel Ward | RW | 39 | 4,000,000$ | 3,956,989$ | 4,000,000$ | UFA | ||||||
Julius Nattinen | C/LW/RW | 23 | 750,000$ | 74,231$ | 75,000$ | RFA | ||||||
Kale Howarth | C/LW | 23 | 525,000$ | 51,962$ | 52,500$ | 52,500$ | 52,500$ | RFA | ||||
Linus Hogberg | D | 21 | 575,000$ | 56,910$ | 57,500$ | 57,500$ | 57,500$ | RFA | ||||
Matthew Villalta | G | 21 | 625,000$ | 61,859$ | 62,500$ | RFA | ||||||
Matthias Plachta | C/LW/RW | 29 | 500,000$ | 49,487$ | 50,000$ | UFA | ||||||
Michael Karow | D | 21 | 500,000$ | 49,487$ | 50,000$ | RFA | ||||||
Mitchell Gibson | G | 21 | 500,000$ | 49,487$ | 50,000$ | 50,000$ | RFA | |||||
Petrus Palmu | LW/RW | 22 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Roman Will | G | 28 | 600,000$ | 59,385$ | 60,000$ | 60,000$ | UFA | |||||
Ryan Murphy | D | 27 | 650,000$ | 64,333$ | 65,000$ | 65,000$ | UFA | |||||
Ville Leskinen | LW/RW | 26 | 550,000$ | 54,436$ | 55,000$ | 55,000$ | UFA | |||||
Wiley Sherman | D | 25 | 767,500$ | 75,963$ | 76,750$ | 76,750$ | RFA | |||||
Yegor Sharangovich | C | 22 | 500,000$ | 49,487$ | 50,000$ | 50,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 24 | 6 | 5 | 13 | 0 | 30 | 11 | 14 | 15 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 6 | 17 | 35.29% | 10 | 26 | 38.46% | 1 | 10 | 10.00% | 19 | 11 | 24 | 8 | 15 | 7 | 33.3% | 12.5% | 93.3% | 105.8 | LUCKY |
_Vs Division | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 24 | 6 | 5 | 13 | 0 | 30 | 11 | 14 | 15 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 6 | 17 | 35.29% | 10 | 26 | 38.46% | 1 | 10 | 10.00% | 19 | 11 | 24 | 8 | 15 | 7 | 33.3% | 12.5% | 93.3% | 105.8 | LUCKY | |
_Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 24 | 6 | 5 | 13 | 0 | 30 | 11 | 14 | 15 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 6 | 17 | 35.29% | 10 | 26 | 38.46% | 1 | 10 | 10.00% | 19 | 11 | 24 | 8 | 15 | 7 | 33.3% | 12.5% | 93.3% | 105.8 | LUCKY | |
_Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 24 | 6 | 5 | 13 | 0 | 30 | 11 | 14 | 15 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 6 | 17 | 35.29% | 10 | 26 | 38.46% | 1 | 10 | 10.00% | 19 | 11 | 24 | 8 | 15 | 7 | 33.3% | 12.5% | 93.3% | 105.8 | LUCKY | |
Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 24 | 6 | 5 | 13 | 0 | 30 | 11 | 14 | 15 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 6 | 17 | 35.29% | 10 | 26 | 38.46% | 1 | 10 | 10.00% | 19 | 11 | 24 | 8 | 15 | 7 | 33.3% | 12.5% | 93.3% | 105.8 | LUCKY |
Puck Time | |
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Offensive Zone | 19 |
Neutral Zone | 15 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 17 |
Neutral Zone Start | 10 |
Defensive Zone Start | 26 |
Puck Time | |
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With Puck | 27 |
Without Puck | 32 |
Faceoffs | |
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Faceoffs Won | 17 |
Faceoffs Lost | 36 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 6.0 | 9.57 |
2nd Period | 11.0 | 20.31 |
3rd Period | 24.0 | 30.68 |
Overtime | 24.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 1 |
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PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 1 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 2 |
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PP Goal | 2 |
PK Attempt | 2 |
PK Goal Against | 0 |
Home | |
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Shots For | 24.0 |
Shots Against | 30.0 |
Goals For | 3.0 |
Goals Against | 2.0 |
Hits | 15.0 |
Shots Blocked | 11.0 |
Pim | 14.0 |
Date | Matchup | Result | Detail | |||||||||||
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Sun, Jan 24 | ![]() | @ | ![]() | MUS2,BIS3 | RECAP | |||||||||
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Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
36,315,000$ | 0$ | 37,846,065$ | 41,153,935$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Stuttgart | ||
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 | 4706 | 4147 | 1506 | 3016 | 788 |
Attendance PCT | 78.43% | 82.94% | 75.30% | 75.40% | 78.80% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
40 | 14163 - 78.68% | 990,050$ | 990,050$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
36,315,000$ | 36,315,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
397,070$ | 195,242$ | 397,070$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
39,602,000$ | 184 | 195,242$ | 35,924,528$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
37,433,981$ | 37,846,065$ | 137,086,020$ | 141,952,439$ |
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 |
---|---|---|---|---|---|
Anton Lundell | ![]() | 2020 | 13 | ||
Ben Meehan | ![]() | 2020 | 153 | ||
Elmer Soderblom | ![]() | 2019 | 163 | ||
Graeme Clarke | ![]() | 2019 | 79 | ||
Isaiah Saville | ![]() | 2019 | 135 | ||
Kevin Wall | ![]() | 2019 | 191 | ||
Marc Del Gaizo | ![]() | 2019 | 107 | ||
Mason Lohrei | ![]() | 2020 | 69 | ||
Maxim Groshev | ![]() | 2020 | 97 | ||
Mikael Pyyhtia | ![]() | 2020 | 125 | ||
Nils Aman | ![]() | 2020 | 181 | ||
Samuel Poulin | ![]() | 2019 | 23 | ||
Simon Lundmark | ![]() | 2019 | 51 | ||
William Wallinder | ![]() | 2020 | 41 |
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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Anton Lundell | ![]() | 2020 | 13 | ||
Ben Meehan | ![]() | 2020 | 153 | ||
Elmer Soderblom | ![]() | 2019 | 163 | ||
Graeme Clarke | ![]() | 2019 | 79 | ||
Isaiah Saville | ![]() | 2019 | 135 | ||
Kevin Wall | ![]() | 2019 | 191 | ||
Marc Del Gaizo | ![]() | 2019 | 107 | ||
Mason Lohrei | ![]() | 2020 | 69 | ||
Maxim Groshev | ![]() | 2020 | 97 | ||
Mikael Pyyhtia | ![]() | 2020 | 125 | ||
Nils Aman | ![]() | 2020 | 181 | ||
Samuel Poulin | ![]() | 2019 | 23 | ||
Simon Lundmark | ![]() | 2019 | 51 | ||
William Wallinder | ![]() | 2020 | 41 |
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