USA 3-3-2, 8pts · 3rd in Group B |
Player | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | MO | OV | AGE | CONTRACT | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Patrick Kane | RW | 100.00 | 58 | 38 | 82 | 88 | 70 | 90 | 88 | 91 | 54 | 72 | 68 | 60 | 91 | 80 | 74 | 37 | 73 | 31 | 9,400,000$/2yrs | 9,400,000$/2yrs | ||||
Blake Wheeler | C/RW | 100.00 | 69 | 55 | 73 | 78 | 84 | 86 | 90 | 78 | 86 | 69 | 60 | 68 | 78 | 84 | 91 | 37 | 71 | 34 | 6,800,000$/3yrs | 6,800,000$/3yrs | ||||
Dylan Larkin | C | 100.00 | 63 | 46 | 71 | 89 | 77 | 86 | 89 | 78 | 94 | 64 | 60 | 67 | 83 | 67 | 74 | 37 | 70 | 24 | 6,400,000$/3yrs | 6,400,000$/3yrs | ||||
Johnny Gaudreau | LW | 100.00 | 55 | 37 | 90 | 87 | 68 | 85 | 87 | 89 | 54 | 67 | 60 | 60 | 90 | 74 | 76 | 37 | 70 | 27 | 8,300,000$/4yrs | 8,300,000$/4yrs | ||||
Bryan Rust | LW/RW | 100.00 | 69 | 39 | 82 | 78 | 82 | 83 | 85 | 77 | 53 | 63 | 67 | 71 | 73 | 75 | 72 | 37 | 70 | 28 | 2,500,000$/2yrs | 2,500,000$/2yrs | ||||
Max Pacioretty | LW | 100.00 | 69 | 48 | 76 | 79 | 85 | 85 | 87 | 78 | 77 | 62 | 66 | 62 | 74 | 80 | 76 | 37 | 70 | 31 | 5,800,000$/4yrs | 5,800,000$/4yrs | ||||
J.T. Miller | C/LW/RW | 100.00 | 72 | 43 | 78 | 80 | 84 | 83 | 87 | 77 | 89 | 67 | 63 | 66 | 77 | 73 | 70 | 37 | 70 | 27 | 4,500,000$/3yrs | 4,500,000$/3yrs | ||||
Jake Guentzel | LW/RW | 100.00 | 66 | 39 | 85 | 81 | 74 | 85 | 82 | 80 | 67 | 64 | 68 | 63 | 78 | 71 | 69 | 37 | 69 | 25 | 5,300,000$/1yrs | 5,300,000$/1yrs | ||||
Brock Nelson | C | 100.00 | 62 | 42 | 82 | 77 | 84 | 84 | 89 | 76 | 92 | 60 | 63 | 70 | 79 | 77 | 74 | 37 | 69 | 28 | 4,500,000$/4yrs | 4,500,000$/4yrs | ||||
T.J. Oshie | RW | 100.00 | 70 | 39 | 81 | 77 | 78 | 84 | 85 | 78 | 79 | 57 | 64 | 64 | 81 | 84 | 78 | 37 | 69 | 33 | 5,000,000$/2yrs | 5,000,000$/2yrs | ||||
Kevin Hayes | C | 100.00 | 67 | 47 | 82 | 74 | 84 | 85 | 81 | 74 | 89 | 56 | 61 | 71 | 72 | 75 | 73 | 37 | 68 | 28 | 3,500,000$/2yrs | 3,500,000$/2yrs | ||||
Chris Kreider | LW | 100.00 | 73 | 51 | 69 | 80 | 87 | 83 | 86 | 77 | 68 | 56 | 64 | 62 | 78 | 77 | 74 | 37 | 68 | 29 | 5,000,000$/4yrs | 5,000,000$/4yrs | ||||
John Carlson | D | 100.00 | 70 | 42 | 82 | 69 | 85 | 91 | 89 | 70 | 30 | 73 | 57 | 79 | 59 | 78 | 76 | 37 | 73 | 30 | 8,400,000$/4yrs | 8,400,000$/4yrs | ||||
Seth Jones | D | 100.00 | 74 | 43 | 83 | 67 | 86 | 93 | 84 | 66 | 30 | 61 | 52 | 83 | 58 | 71 | 76 | 37 | 72 | 25 | 5,300,000$/1yrs | 5,300,000$/1yrs | ||||
Ryan Suter | D | 100.00 | 70 | 49 | 84 | 65 | 83 | 93 | 89 | 66 | 30 | 64 | 52 | 80 | 57 | 85 | 81 | 37 | 72 | 35 | 7,200,000$/1yrs | 7,200,000$/1yrs | ||||
Jeff Petry | D | 100.00 | 84 | 42 | 83 | 63 | 85 | 90 | 92 | 62 | 30 | 60 | 54 | 78 | 56 | 82 | 76 | 37 | 72 | 32 | 3,500,000$/1yrs | 3,500,000$/1yrs | ||||
Jacob Trouba | D | 100.00 | 82 | 51 | 69 | 61 | 89 | 89 | 91 | 62 | 30 | 57 | 51 | 80 | 56 | 71 | 67 | 37 | 70 | 26 | 4,700,000$/4yrs | 4,700,000$/4yrs | ||||
Neal Pionk | D | 100.00 | 82 | 48 | 80 | 64 | 78 | 89 | 87 | 62 | 30 | 63 | 50 | 77 | 55 | 69 | 66 | 37 | 69 | 25 | 3,400,000$/2yrs | 3,400,000$/2yrs | ||||
Tony DeAngelo | D | 100.00 | 70 | 51 | 67 | 66 | 76 | 85 | 82 | 66 | 30 | 64 | 56 | 73 | 61 | 69 | 68 | 37 | 68 | 24 | 3,500,000$/2yrs | 3,500,000$/2yrs | ||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 70 | 45 | 79 | 75 | 81 | 87 | 87 | 74 | 59 | 63 | 60 | 70 | 71 | 76 | 74 | 37 | 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 | MO | OV | AGE | CONTRACT | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ben Bishop | 100.00 | 95 | 94 | 92 | 98 | 91 | 94 | 94 | 96 | 94 | 91 | 94 | 84 | 88 | 32 | 91 | 33 | 5,000,000$/3yrs | 5,000,000$/3yrs | |
Connor Hellebuyck | 100.00 | 95 | 95 | 93 | 95 | 95 | 97 | 97 | 98 | 97 | 96 | 95 | 73 | 77 | 37 | 91 | 27 | 5,000,000$/3yrs | 5,000,000$/3yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 95 | 95 | 93 | 97 | 93 | 96 | 96 | 97 | 96 | 94 | 95 | 79 | 83 | 35 | 91 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
David Quinn | 87 | 87 | 89 | 76 | 79 | 75 | 71 | USA | 53 | 5 | 1,000,000$ |
General Manager | Tomas Reznicek |
---|
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 | Patrick Kane | USA | 0 | RW | 8 | 4 | 4 | 8 | 2 | 0 | 0 | 8 | 28 | 9 | 25 | 14.29% | 1 | 20.97 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 38.46% | 13 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 |
2 | Seth Jones | USA | 0 | D | 8 | 1 | 5 | 6 | -2 | 8 | 0 | 18 | 6 | 5 | 4 | 16.67% | 13 | 22.60 | 1 | 1 | 2 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 |
3 | Bryan Rust | USA | 0 | LW/RW | 8 | 1 | 3 | 4 | -6 | 6 | 0 | 6 | 14 | 2 | 11 | 7.14% | 3 | 14.37 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0 | 0 | 41.67% | 12 | 0 | 0 | 1 | 0 | 0.70 | 0 | 0 |
4 | J.T. Miller | USA | 0 | C/LW/RW | 8 | 2 | 2 | 4 | 3 | 6 | 0 | 20 | 14 | 8 | 13 | 14.29% | 2 | 20.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.50% | 200 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 |
5 | Jacob Trouba | USA | 0 | D | 8 | 0 | 3 | 3 | -1 | 4 | 0 | 22 | 2 | 1 | 4 | 0.00% | 13 | 16.09 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 |
6 | Dylan Larkin | USA | 0 | C | 8 | 2 | 1 | 3 | -3 | 6 | 0 | 12 | 14 | 4 | 11 | 14.29% | 1 | 15.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.23% | 158 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 |
7 | Kevin Hayes | USA | 0 | C | 8 | 3 | 0 | 3 | -5 | 0 | 0 | 7 | 13 | 4 | 6 | 23.08% | 0 | 14.41 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 47.77% | 157 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 |
8 | Johnny Gaudreau | USA | 0 | LW | 8 | 0 | 3 | 3 | -1 | 0 | 0 | 2 | 23 | 8 | 16 | 0.00% | 1 | 18.00 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 33.33% | 12 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 |
9 | Neal Pionk | USA | 0 | D | 8 | 1 | 2 | 3 | -1 | 6 | 0 | 15 | 7 | 3 | 6 | 14.29% | 6 | 15.23 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 |
10 | Max Pacioretty | USA | 0 | LW | 8 | 1 | 2 | 3 | 1 | 0 | 0 | 6 | 18 | 1 | 15 | 5.56% | 2 | 18.46 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 71.43% | 7 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 |
11 | John Carlson | USA | 0 | D | 8 | 0 | 3 | 3 | -2 | 8 | 0 | 10 | 5 | 4 | 9 | 0.00% | 7 | 23.25 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 |
12 | Ryan Suter | USA | 0 | D | 8 | 0 | 2 | 2 | -2 | 2 | 0 | 9 | 8 | 1 | 2 | 0.00% | 11 | 19.77 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 |
13 | Chris Kreider | USA | 0 | LW | 8 | 1 | 1 | 2 | 0 | 2 | 0 | 12 | 10 | 1 | 5 | 10.00% | 1 | 7.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 80.00% | 5 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 |
14 | Blake Wheeler | USA | 0 | C/RW | 8 | 1 | 0 | 1 | -4 | 2 | 0 | 11 | 13 | 3 | 12 | 7.69% | 2 | 17.11 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 |
15 | Jake Guentzel | USA | 0 | LW/RW | 8 | 0 | 1 | 1 | -5 | 0 | 0 | 7 | 10 | 2 | 7 | 0.00% | 0 | 9.56 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 6 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 |
16 | Tony DeAngelo | USA | 0 | D | 8 | 1 | 0 | 1 | -1 | 0 | 0 | 7 | 9 | 0 | 2 | 11.11% | 2 | 4.83 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 |
17 | Brock Nelson | USA | 0 | C | 8 | 1 | 0 | 1 | -1 | 0 | 0 | 3 | 6 | 1 | 0 | 16.67% | 3 | 9.71 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 1 | 0 | 51.49% | 101 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 |
18 | T.J. Oshie | USA | 0 | RW | 8 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 8 | 1 | 6 | 0.00% | 1 | 7.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80.00% | 5 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 |
19 | Jeff Petry | USA | 0 | D | 8 | 0 | 1 | 1 | -4 | 14 | 0 | 21 | 6 | 2 | 2 | 0.00% | 14 | 18.57 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 |
Team Total or Average | 152 | 19 | 34 | 53 | -32 | 64 | 0 | 202 | 214 | 60 | 156 | 8.88% | 83 | 15.46 | 3 | 5 | 8 | 0 | 0 | 0 | 211 | 3 | 0 | 53.17% | 679 | 0 | 0 | 1 | 0 | 0.45 | 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 | Ben Bishop | USA | 6 | 3 | 3 | 0 | 0.902 | 3.25 | 314 | 0 | 0 | 17 | 174 | 0 | 1 | 0 | 0.000 | 0 | 6 | 2 | 1 | 1 | 0 |
2 | Connor Hellebuyck | USA | 3 | 0 | 0 | 2 | 0.905 | 3.21 | 168 | 0 | 0 | 9 | 95 | 0 | 0 | 0 | 0.000 | 0 | 2 | 6 | 1 | 0 | 0 |
Team Total or Average | 9 | 3 | 3 | 2 | 0.903 | 3.24 | 482 | 0 | 0 | 26 | 269 | 0 | 1 | 0 | 0.000 | 0 | 8 | 8 | 2 | 1 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Canada B | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 4 | 0 | 2 | 0 | 61 | 26 | 12 | 23 | 0 | 58 | 15 | 14 | 62 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 46 | 32 | 48 | 13 | 25 | 12 | 54.5% | 9.8% | 89.7% | 99.5 | FUN |
2 | Russia | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 10 | -8 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 52 | 18 | 17 | 17 | 0 | 77 | 26 | 16 | 43 | 4 | 1 | 25.00% | 8 | 0 | 100.00% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 48 | 32 | 46 | 13 | 25 | 12 | 9.1% | 3.8% | 87.0% | 90.9 | Unlucky |
3 | Finland | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 3 | 0.750 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 52 | 20 | 18 | 12 | 2 | 73 | 15 | 18 | 47 | 4 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 46 | 32 | 51 | 13 | 24 | 11 | 60.0% | 5.8% | 95.9% | 101.7 | DULL |
4 | The Rest | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 3 | 2 | 3 | 0 | 49 | 13 | 19 | 17 | 0 | 61 | 27 | 16 | 50 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 45 | 32 | 50 | 13 | 24 | 11 | 50.0% | 16.3% | 88.5% | 104.9 | FUN |
_Vs Division | 8 | 3 | 3 | 0 | 0 | 2 | 0 | 0 | 19 | 26 | -7 | 8 | 0.500 | 19 | 34 | 53 | 0 | 0 | 10 | 2 | 7 | 0 | 214 | 77 | 66 | 69 | 2 | 269 | 83 | 64 | 202 | 17 | 3 | 17.65% | 30 | 3 | 90.00% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 187 | 129 | 196 | 53 | 98 | 49 | 41.0% | 8.9% | 90.3% | 99.2 | Unlucky | |
_Vs Conference | 8 | 3 | 3 | 0 | 0 | 2 | 0 | 0 | 19 | 26 | -7 | 8 | 0.500 | 19 | 34 | 53 | 0 | 0 | 10 | 2 | 7 | 0 | 214 | 77 | 66 | 69 | 2 | 269 | 83 | 64 | 202 | 17 | 3 | 17.65% | 30 | 3 | 90.00% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 187 | 129 | 196 | 53 | 98 | 49 | 41.0% | 8.9% | 90.3% | 99.2 | Unlucky | |
_Since Last GM Reset | 8 | 3 | 3 | 0 | 0 | 2 | 0 | 0 | 19 | 26 | -7 | 8 | 0.500 | 19 | 34 | 53 | 0 | 0 | 10 | 2 | 7 | 0 | 214 | 77 | 66 | 69 | 2 | 269 | 83 | 64 | 202 | 17 | 3 | 17.65% | 30 | 3 | 90.00% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 187 | 129 | 196 | 53 | 98 | 49 | 41.0% | 8.9% | 90.3% | 99.2 | Unlucky | |
Total | 8 | 3 | 3 | 0 | 0 | 2 | 0 | 0 | 19 | 26 | -7 | 8 | 0.500 | 19 | 34 | 53 | 0 | 0 | 10 | 2 | 7 | 0 | 214 | 77 | 66 | 69 | 2 | 269 | 83 | 64 | 202 | 17 | 3 | 17.65% | 30 | 3 | 90.00% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 187 | 129 | 196 | 53 | 98 | 49 | 41.0% | 8.9% | 90.3% | 99.2 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 252 |
Neutral Zone Start | 125 |
Defensive Zone Start | 299 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 361 |
Faceoffs Lost | 315 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.6 | 9.57 |
2nd Period | 17.9 | 20.31 |
3rd Period | 26.5 | 30.68 |
Overtime | 26.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 16 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 2 |
Lost | 1 | 2 |
Overtime Lost | 2 | 0 |
PP Attempt | 17 |
---|---|
PP Goal | 3 |
PK Attempt | 30 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 26.8 |
Shots Against | 33.6 |
Goals For | 2.4 |
Goals Against | 3.3 |
Hits | 25.3 |
Shots Blocked | 10.4 |
Pim | 8.0 |
Total Cap Hit | 113,000,000$ |
Cap Space | -33,500,000$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 79,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
USA Roster | Pos | Age | Cap Hit | 1--1998 | 2--1997 | 3--1996 | 4--1995 | 5--1994 | 6--1993 | 7--1992 | 8--1991 |
---|---|---|---|---|---|---|---|---|---|---|---|
Ben Bishop | G | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Blake Wheeler | C/RW | 34 | 6,800,000$ | 6,800,000$ | 6,800,000$ | 6,800,000$ | UFA | ||||
Brock Nelson | C | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Bryan Rust | LW/RW | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Chris Kreider | LW | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Connor Hellebuyck | G | 27 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Dylan Larkin | C | 24 | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | RFA | ||||
J.T. Miller | C/LW/RW | 27 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Jacob Trouba | D | 26 | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | UFA | |||
Jake Guentzel | LW/RW | 25 | 5,300,000$ | 5,300,000$ | RFA | ||||||
Jeff Petry | D | 32 | 3,500,000$ | 3,500,000$ | UFA | ||||||
John Carlson | D | 30 | 8,400,000$ | 8,400,000$ | 8,400,000$ | 8,400,000$ | 8,400,000$ | UFA | |||
Johnny Gaudreau | LW | 27 | 8,300,000$ | 8,300,000$ | 8,300,000$ | 8,300,000$ | 8,300,000$ | UFA | |||
Kevin Hayes | C | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Max Pacioretty | LW | 31 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | |||
Neal Pionk | D | 25 | 3,400,000$ | 3,400,000$ | 3,400,000$ | RFA | |||||
Patrick Kane | RW | 31 | 9,400,000$ | 9,400,000$ | 9,400,000$ | UFA | |||||
Ryan Suter | D | 35 | 7,200,000$ | 7,200,000$ | UFA | ||||||
Seth Jones | D | 25 | 5,300,000$ | 5,300,000$ | RFA | ||||||
T.J. Oshie | RW | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Tony DeAngelo | D | 24 | 3,500,000$ | 3,500,000$ | 3,500,000$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 1--1998 | 2--1997 | 3--1996 | 4--1995 | 5--1994 | 6--1993 | 7--1992 | 8--1991 |
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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 |
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1 | Canada B | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 4 | 0 | 2 | 0 | 61 | 26 | 12 | 23 | 0 | 58 | 15 | 14 | 62 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 46 | 32 | 48 | 13 | 25 | 12 | 54.5% | 9.8% | 89.7% | 99.5 | FUN |
2 | Russia | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 10 | -8 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 52 | 18 | 17 | 17 | 0 | 77 | 26 | 16 | 43 | 4 | 1 | 25.00% | 8 | 0 | 100.00% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 48 | 32 | 46 | 13 | 25 | 12 | 9.1% | 3.8% | 87.0% | 90.9 | Unlucky |
3 | Finland | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 3 | 0.750 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 52 | 20 | 18 | 12 | 2 | 73 | 15 | 18 | 47 | 4 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 46 | 32 | 51 | 13 | 24 | 11 | 60.0% | 5.8% | 95.9% | 101.7 | DULL |
4 | The Rest | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 3 | 2 | 3 | 0 | 49 | 13 | 19 | 17 | 0 | 61 | 27 | 16 | 50 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 45 | 32 | 50 | 13 | 24 | 11 | 50.0% | 16.3% | 88.5% | 104.9 | FUN |
_Vs Division | 8 | 3 | 3 | 0 | 0 | 2 | 0 | 0 | 19 | 26 | -7 | 8 | 0.500 | 19 | 34 | 53 | 0 | 0 | 10 | 2 | 7 | 0 | 214 | 77 | 66 | 69 | 2 | 269 | 83 | 64 | 202 | 17 | 3 | 17.65% | 30 | 3 | 90.00% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 187 | 129 | 196 | 53 | 98 | 49 | 41.0% | 8.9% | 90.3% | 99.2 | Unlucky | |
_Vs Conference | 8 | 3 | 3 | 0 | 0 | 2 | 0 | 0 | 19 | 26 | -7 | 8 | 0.500 | 19 | 34 | 53 | 0 | 0 | 10 | 2 | 7 | 0 | 214 | 77 | 66 | 69 | 2 | 269 | 83 | 64 | 202 | 17 | 3 | 17.65% | 30 | 3 | 90.00% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 187 | 129 | 196 | 53 | 98 | 49 | 41.0% | 8.9% | 90.3% | 99.2 | Unlucky | |
_Since Last GM Reset | 8 | 3 | 3 | 0 | 0 | 2 | 0 | 0 | 19 | 26 | -7 | 8 | 0.500 | 19 | 34 | 53 | 0 | 0 | 10 | 2 | 7 | 0 | 214 | 77 | 66 | 69 | 2 | 269 | 83 | 64 | 202 | 17 | 3 | 17.65% | 30 | 3 | 90.00% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 187 | 129 | 196 | 53 | 98 | 49 | 41.0% | 8.9% | 90.3% | 99.2 | Unlucky | |
Total | 8 | 3 | 3 | 0 | 0 | 2 | 0 | 0 | 19 | 26 | -7 | 8 | 0.500 | 19 | 34 | 53 | 0 | 0 | 10 | 2 | 7 | 0 | 214 | 77 | 66 | 69 | 2 | 269 | 83 | 64 | 202 | 17 | 3 | 17.65% | 30 | 3 | 90.00% | 0 | 137 | 252 | 54.37% | 160 | 299 | 53.51% | 64 | 125 | 51.20% | 187 | 129 | 196 | 53 | 98 | 49 | 41.0% | 8.9% | 90.3% | 99.2 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 252 |
Neutral Zone Start | 125 |
Defensive Zone Start | 299 |
Puck Time | |
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With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 361 |
Faceoffs Lost | 315 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.6 | 9.57 |
2nd Period | 17.9 | 20.31 |
3rd Period | 26.5 | 30.68 |
Overtime | 26.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 16 |
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PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 1 | 2 |
Lost | 1 | 2 |
Overtime Lost | 2 | 0 |
PP Attempt | 17 |
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PP Goal | 3 |
PK Attempt | 30 |
PK Goal Against | 3 |
Home | |
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Shots For | 26.8 |
Shots Against | 33.6 |
Goals For | 2.4 |
Goals Against | 3.3 |
Hits | 25.3 |
Shots Blocked | 10.4 |
Pim | 8.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Sat, Sep 5 | USA | @ | RES | USA5,RES3 | RECAP |
Sun, Sep 6 | CND | @ | USA | CND1,USA3 | RECAP |
Tue, Sep 8 | USA | @ | RUS | USA1,RUS7 | RECAP |
Wed, Sep 9 | FIN | @ | USA | FIN2,USA1 (OT) | RECAP |
Sat, Sep 12 | RES | @ | USA | RES4,USA3 (OT) | RECAP |
Sun, Sep 13 | USA | @ | CND | USA3,CND5 | RECAP |
Tue, Sep 15 | RUS | @ | USA | RUS3,USA1 | RECAP |
Wed, Sep 16 | USA | @ | FIN | USA2,FIN1 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
113,000,000$ | 0$ | 0$ | 79,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | |||
City | USA | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
113,000,000$ | 113,000,000$ | 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$ | 0 | 8,769,231$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 10,000,000$ | 10,000,000$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 |
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2 | |||||
3 | |||||
4 | |||||
5 | |||||
6 |
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