![]() | Canada A 4-3-1, 9pts · 3rd in Group A |
Player | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | MO | OV | AGE | CONTRACT | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 100.00 | 62 | 39 | 86 | 91 | 83 | 91 | 84 | 89 | 85 | 74 | 69 | 62 | 90 | 69 | 76 | 42 | 74 | 25 | 9,200,000$/2yrs | 9,200,000$/2yrs | ||||
![]() | C | 100.00 | 60 | 45 | 78 | 82 | 82 | 88 | 90 | 82 | 91 | 67 | 66 | 66 | 84 | 74 | 80 | 42 | 72 | 27 | 7,900,000$/3yrs | 7,900,000$/3yrs | ||||
![]() | LW | 100.00 | 62 | 39 | 79 | 84 | 75 | 86 | 89 | 83 | 60 | 73 | 62 | 60 | 82 | 73 | 74 | 42 | 71 | 27 | 7,300,000$/2yrs | 7,300,000$/2yrs | ||||
![]() | C | 100.00 | 57 | 47 | 85 | 78 | 84 | 87 | 91 | 78 | 97 | 69 | 56 | 74 | 74 | 77 | 80 | 42 | 71 | 29 | 5,500,000$/1yrs | 5,500,000$/1yrs | ||||
![]() | C | 100.00 | 60 | 39 | 81 | 81 | 80 | 84 | 87 | 85 | 93 | 65 | 67 | 61 | 85 | 78 | 89 | 42 | 71 | 29 | 8,000,000$/1yrs | 8,000,000$/1yrs | ||||
![]() | C/LW | 100.00 | 60 | 39 | 82 | 78 | 77 | 86 | 83 | 77 | 84 | 66 | 62 | 71 | 79 | 73 | 76 | 42 | 70 | 27 | 5,500,000$/2yrs | 5,500,000$/2yrs | ||||
![]() | LW | 100.00 | 62 | 39 | 79 | 87 | 79 | 86 | 77 | 83 | 60 | 67 | 59 | 62 | 85 | 77 | 76 | 42 | 70 | 28 | 8,000,000$/4yrs | 8,000,000$/4yrs | ||||
![]() | LW/RW | 100.00 | 59 | 39 | 82 | 83 | 73 | 83 | 89 | 80 | 60 | 61 | 66 | 60 | 82 | 79 | 74 | 42 | 69 | 30 | 5,800,000$/4yrs | 5,800,000$/4yrs | ||||
![]() | LW | 100.00 | 77 | 62 | 51 | 76 | 87 | 85 | 86 | 77 | 79 | 57 | 65 | 68 | 80 | 77 | 76 | 42 | 69 | 29 | 5,400,000$/1yrs | 5,400,000$/1yrs | ||||
![]() | RW | 100.00 | 90 | 75 | 56 | 72 | 88 | 83 | 84 | 70 | 57 | 57 | 61 | 72 | 69 | 71 | 76 | 43 | 68 | 26 | 3,300,000$/4yrs | 3,300,000$/4yrs | ||||
![]() | LW/RW | 100.00 | 67 | 53 | 76 | 72 | 81 | 85 | 82 | 70 | 70 | 56 | 65 | 73 | 71 | 75 | 74 | 39 | 68 | 28 | 3,300,000$/4yrs | 3,300,000$/4yrs | ||||
![]() | LW/RW | 100.00 | 65 | 39 | 72 | 79 | 75 | 83 | 84 | 78 | 56 | 63 | 63 | 60 | 75 | 80 | 81 | 42 | 68 | 32 | 5,000,000$/2yrs | 5,000,000$/2yrs | ||||
![]() | LW/RW | 100.00 | 90 | 48 | 83 | 70 | 79 | 77 | 88 | 64 | 57 | 52 | 54 | 75 | 64 | 77 | 73 | 42 | 66 | 28 | 1,000,000$/1yrs | 1,000,000$/1yrs | ||||
![]() | D | 100.00 | 70 | 43 | 71 | 65 | 83 | 91 | 85 | 65 | 30 | 63 | 52 | 84 | 58 | 87 | 92 | 42 | 73 | 36 | 5,000,000$/2yrs | 5,000,000$/2yrs | ||||
![]() | D | 100.00 | 78 | 39 | 73 | 67 | 83 | 93 | 83 | 67 | 30 | 63 | 58 | 80 | 59 | 82 | 75 | 42 | 72 | 33 | 7,000,000$/2yrs | 7,000,000$/2yrs | ||||
![]() | D | 100.00 | 70 | 42 | 86 | 67 | 84 | 91 | 86 | 69 | 30 | 63 | 57 | 79 | 53 | 78 | 88 | 42 | 72 | 30 | 7,500,000$/3yrs | 7,500,000$/3yrs | ||||
![]() | D | 100.00 | 72 | 38 | 87 | 66 | 70 | 90 | 87 | 64 | 30 | 57 | 56 | 81 | 56 | 79 | 73 | 42 | 70 | 30 | 4,800,000$/4yrs | 4,800,000$/4yrs | ||||
![]() | D | 100.00 | 69 | 39 | 86 | 67 | 83 | 90 | 83 | 64 | 30 | 63 | 50 | 78 | 62 | 71 | 79 | 42 | 70 | 26 | 5,500,000$/2yrs | 5,500,000$/2yrs | ||||
![]() | D | 100.00 | 77 | 47 | 79 | 53 | 93 | 82 | 76 | 55 | 30 | 54 | 53 | 82 | 56 | 69 | 65 | 42 | 68 | 25 | 2,400,000$/2yrs | 2,400,000$/2yrs | ||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 69 | 45 | 77 | 75 | 81 | 86 | 85 | 74 | 59 | 63 | 60 | 71 | 72 | 76 | 78 | 42 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 100.00 | 95 | 95 | 93 | 88 | 94 | 92 | 91 | 92 | 92 | 91 | 89 | 82 | 87 | 42 | 89 | 33 | 4,400,000$/1yrs | 4,400,000$/1yrs | |
![]() | 100.00 | 92 | 94 | 92 | 93 | 91 | 91 | 91 | 90 | 92 | 92 | 90 | 73 | 77 | 42 | 88 | 27 | 5,000,000$/4yrs | 5,000,000$/4yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 94 | 95 | 93 | 91 | 93 | 92 | 91 | 91 | 92 | 92 | 90 | 78 | 82 | 42 | 89 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Barry Trotz | 87 | 99 | 87 | 86 | 90 | 85 | 63 | CAN | 57 | 5 | 1,000,000$ |
General Manager | Lukas Stratil |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nathan MacKinnon | ![]() | 0 | C | 8 | 4 | 4 | 8 | -2 | 0 | 0 | 7 | 33 | 9 | 26 | 12.12% | 2 | 22.57 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 46.93% | 228 | 0 | 0 | 0 | 0 | 0.89 | 0 | 1 |
2 | Kris Letang | ![]() | 0 | D | 8 | 2 | 6 | 8 | 1 | 6 | 0 | 31 | 13 | 3 | 6 | 15.38% | 15 | 24.18 | 1 | 1 | 2 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 |
3 | Jonathan Huberdeau | ![]() | 0 | LW | 8 | 2 | 5 | 7 | -2 | 4 | 0 | 10 | 33 | 7 | 17 | 6.06% | 3 | 21.99 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 57.89% | 19 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 |
4 | Ryan O'Reilly | ![]() | 0 | C | 8 | 2 | 4 | 6 | 4 | 2 | 0 | 1 | 12 | 6 | 13 | 16.67% | 3 | 19.83 | 0 | 1 | 1 | 0 | 0 | 0 | 30 | 1 | 0 | 54.40% | 182 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 |
5 | Taylor Hall | ![]() | 0 | LW | 8 | 3 | 2 | 5 | 2 | 0 | 0 | 4 | 18 | 4 | 13 | 16.67% | 0 | 7.61 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 1.64 | 1 | 1 |
6 | Jared Spurgeon | ![]() | 0 | D | 8 | 0 | 4 | 4 | 5 | 6 | 0 | 18 | 7 | 6 | 7 | 0.00% | 8 | 21.14 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 |
7 | Alex Pietrangelo | ![]() | 0 | D | 8 | 1 | 3 | 4 | -4 | 4 | 0 | 9 | 6 | 1 | 11 | 16.67% | 9 | 23.14 | 0 | 1 | 1 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 |
8 | Mike Hoffman | ![]() | 0 | LW/RW | 8 | 2 | 1 | 3 | -3 | 2 | 0 | 2 | 18 | 3 | 14 | 11.11% | 0 | 18.12 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 25.00% | 8 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 |
9 | John Tavares | ![]() | 0 | C | 8 | 1 | 2 | 3 | -1 | 0 | 0 | 7 | 21 | 5 | 16 | 4.76% | 1 | 15.12 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 61.74% | 149 | 0 | 0 | 0 | 0 | 0.50 | 0 | 1 |
10 | Mark Scheifele | ![]() | 0 | C | 8 | 1 | 2 | 3 | 2 | 0 | 0 | 3 | 13 | 2 | 15 | 7.69% | 0 | 7.54 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 37.93% | 58 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 |
11 | Morgan Rielly | ![]() | 0 | D | 8 | 1 | 2 | 3 | 2 | 0 | 0 | 4 | 4 | 2 | 2 | 25.00% | 3 | 13.14 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 |
12 | Tom Wilson | ![]() | 0 | RW | 8 | 1 | 1 | 2 | -1 | 13 | 5 | 16 | 10 | 4 | 4 | 10.00% | 1 | 11.25 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 1 | 27.27% | 11 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 |
13 | Evander Kane | ![]() | 0 | LW | 8 | 1 | 1 | 2 | 4 | 8 | 0 | 19 | 18 | 4 | 10 | 5.56% | 0 | 13.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 83.33% | 6 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 |
14 | Ryan Nugent-Hopkins | ![]() | 0 | C/LW | 8 | 2 | 0 | 2 | 0 | 0 | 0 | 3 | 19 | 4 | 12 | 10.53% | 1 | 13.77 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 83.33% | 6 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 |
15 | David Perron | ![]() | 0 | LW/RW | 8 | 0 | 2 | 2 | 5 | 0 | 0 | 4 | 7 | 2 | 7 | 0.00% | 1 | 9.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 6 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 |
16 | Zach Hyman | ![]() | 0 | LW/RW | 8 | 0 | 1 | 1 | 2 | 19 | 5 | 10 | 10 | 3 | 7 | 0.00% | 0 | 14.29 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 35.71% | 14 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 |
17 | Mark Giordano | ![]() | 0 | D | 8 | 0 | 1 | 1 | 1 | 4 | 0 | 22 | 9 | 4 | 9 | 0.00% | 20 | 23.40 | 0 | 1 | 1 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 |
18 | Ryan Graves | ![]() | 0 | D | 8 | 0 | 1 | 1 | 2 | 4 | 0 | 13 | 2 | 1 | 2 | 0.00% | 9 | 14.07 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 |
19 | Brandon Tanev | ![]() | 0 | LW/RW | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0.00% | 2 | 3.96 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 9 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 152 | 23 | 42 | 65 | 17 | 72 | 10 | 184 | 255 | 70 | 191 | 9.02% | 78 | 15.65 | 4 | 8 | 12 | 0 | 0 | 0 | 170 | 3 | 2 | 51.00% | 702 | 0 | 0 | 0 | 0 | 0.55 | 1 | 3 |
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 | Carey Price | ![]() | 5 | 3 | 1 | 1 | 0.914 | 2.75 | 306 | 2 | 1 | 14 | 163 | 0 | 0 | 0 | 1.000 | 3 | 5 | 3 | 1 | 1 | 0 |
2 | Jordan Binnington | ![]() | 3 | 1 | 2 | 0 | 0.907 | 3.33 | 180 | 0 | 0 | 10 | 108 | 0 | 0 | 0 | 0.000 | 0 | 3 | 5 | 0 | 1 | 0 |
Team Total or Average | 8 | 4 | 3 | 1 | 0.911 | 2.96 | 486 | 2 | 1 | 24 | 271 | 0 | 0 | 0 | 1.000 | 3 | 8 | 8 | 1 | 2 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 1 | 1 | 1 | 1 | 0 | 62 | 24 | 22 | 16 | 0 | 58 | 17 | 12 | 48 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 47 | 33 | 48 | 14 | 24 | 12 | 66.7% | 4.8% | 96.6% | 101.4 | DULL |
2 | ![]() | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 9 | 9 | 0 | 3 | 0.750 | 9 | 15 | 24 | 0 | 0 | 6 | 0 | 2 | 1 | 84 | 30 | 21 | 28 | 8 | 54 | 21 | 17 | 48 | 7 | 2 | 28.57% | 6 | 3 | 50.00% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 58 | 43 | 41 | 13 | 27 | 14 | 53.8% | 10.7% | 83.3% | 94.0 | FUN |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 4 | 2 | 1 | 0 | 58 | 29 | 18 | 11 | 0 | 68 | 18 | 6 | 46 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 49 | 35 | 46 | 13 | 24 | 13 | 50.0% | 12.1% | 89.7% | 101.8 | FUN |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 51 | 19 | 15 | 17 | 0 | 91 | 22 | 39 | 42 | 5 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 45 | 31 | 49 | 13 | 24 | 12 | 62.5% | 9.8% | 93.4% | 103.2 | LUCKY |
_Vs Division | 8 | 3 | 3 | 0 | 0 | 1 | 1 | 0 | 24 | 24 | 0 | 9 | 0.563 | 24 | 42 | 66 | 0 | 1 | 13 | 5 | 5 | 1 | 255 | 102 | 76 | 72 | 8 | 271 | 78 | 74 | 184 | 26 | 4 | 15.38% | 26 | 8 | 69.23% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 200 | 143 | 186 | 54 | 100 | 52 | 55.6% | 9.4% | 91.1% | 100.6 | Unlucky | |
_Vs Conference | 8 | 3 | 3 | 0 | 0 | 1 | 1 | 0 | 24 | 24 | 0 | 9 | 0.563 | 24 | 42 | 66 | 0 | 1 | 13 | 5 | 5 | 1 | 255 | 102 | 76 | 72 | 8 | 271 | 78 | 74 | 184 | 26 | 4 | 15.38% | 26 | 8 | 69.23% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 200 | 143 | 186 | 54 | 100 | 52 | 55.6% | 9.4% | 91.1% | 100.6 | Unlucky | |
_Since Last GM Reset | 8 | 3 | 3 | 0 | 0 | 1 | 1 | 0 | 24 | 24 | 0 | 9 | 0.563 | 24 | 42 | 66 | 0 | 1 | 13 | 5 | 5 | 1 | 255 | 102 | 76 | 72 | 8 | 271 | 78 | 74 | 184 | 26 | 4 | 15.38% | 26 | 8 | 69.23% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 200 | 143 | 186 | 54 | 100 | 52 | 55.6% | 9.4% | 91.1% | 100.6 | Unlucky | |
Total | 8 | 3 | 3 | 0 | 0 | 1 | 1 | 0 | 24 | 24 | 0 | 9 | 0.563 | 24 | 42 | 66 | 0 | 1 | 13 | 5 | 5 | 1 | 255 | 102 | 76 | 72 | 8 | 271 | 78 | 74 | 184 | 26 | 4 | 15.38% | 26 | 8 | 69.23% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 200 | 143 | 186 | 54 | 100 | 52 | 55.6% | 9.4% | 91.1% | 100.6 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 291 |
Neutral Zone Start | 127 |
Defensive Zone Start | 278 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 358 |
Faceoffs Lost | 338 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.8 | 9.57 |
2nd Period | 22.3 | 20.31 |
3rd Period | 31.3 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.6 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 20 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 3 |
Lost | 3 | 0 |
Overtime Lost | 0 | 1 |
PP Attempt | 26 |
---|---|
PP Goal | 4 |
PK Attempt | 26 |
PK Goal Against | 8 |
Home | |
---|---|
Shots For | 31.9 |
Shots Against | 33.9 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 23.0 |
Shots Blocked | 9.8 |
Pim | 9.3 |
![]() | |
Total Cap Hit | 116,800,000$ |
Cap Space | -37,300,000$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 79,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Canada A Roster | Pos | Age | Cap Hit | 1--1998 | 2--1997 | 3--1996 | 4--1995 | 5--1994 | 6--1993 | 7--1992 | 8--1991 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Pietrangelo ![]() | D | 30 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||||
Brandon Tanev ![]() | LW/RW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Carey Price ![]() | G | 33 | 4,400,000$ | 4,400,000$ | UFA | ||||||
David Perron ![]() | LW/RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Evander Kane ![]() | LW | 29 | 5,400,000$ | 5,400,000$ | UFA | ||||||
Jared Spurgeon ![]() | D | 30 | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | |||
John Tavares ![]() | C | 29 | 8,000,000$ | 8,000,000$ | UFA | ||||||
Jonathan Huberdeau ![]() | LW | 27 | 7,300,000$ | 7,300,000$ | 7,300,000$ | UFA | |||||
Jordan Binnington ![]() | G | 27 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Kris Letang ![]() | D | 33 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Mark Giordano ![]() | D | 36 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Mark Scheifele ![]() | C | 27 | 7,900,000$ | 7,900,000$ | 7,900,000$ | 7,900,000$ | UFA | ||||
Mike Hoffman ![]() | LW/RW | 30 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | |||
Morgan Rielly ![]() | D | 26 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Nathan MacKinnon ![]() | C | 25 | 9,200,000$ | 9,200,000$ | 9,200,000$ | ![]() | |||||
Ryan Graves ![]() | D | 25 | 2,400,000$ | 2,400,000$ | 2,400,000$ | ![]() | |||||
Ryan Nugent-Hopkins ![]() | C/LW | 27 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Ryan O'Reilly ![]() | C | 29 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Taylor Hall ![]() | LW | 28 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Tom Wilson ![]() | RW | 26 | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | UFA | |||
Zach Hyman ![]() | LW/RW | 28 | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | UFA |
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 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 1 | 1 | 1 | 1 | 0 | 62 | 24 | 22 | 16 | 0 | 58 | 17 | 12 | 48 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 47 | 33 | 48 | 14 | 24 | 12 | 66.7% | 4.8% | 96.6% | 101.4 | DULL |
2 | ![]() | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 9 | 9 | 0 | 3 | 0.750 | 9 | 15 | 24 | 0 | 0 | 6 | 0 | 2 | 1 | 84 | 30 | 21 | 28 | 8 | 54 | 21 | 17 | 48 | 7 | 2 | 28.57% | 6 | 3 | 50.00% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 58 | 43 | 41 | 13 | 27 | 14 | 53.8% | 10.7% | 83.3% | 94.0 | FUN |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 4 | 2 | 1 | 0 | 58 | 29 | 18 | 11 | 0 | 68 | 18 | 6 | 46 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 49 | 35 | 46 | 13 | 24 | 13 | 50.0% | 12.1% | 89.7% | 101.8 | FUN |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 51 | 19 | 15 | 17 | 0 | 91 | 22 | 39 | 42 | 5 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 45 | 31 | 49 | 13 | 24 | 12 | 62.5% | 9.8% | 93.4% | 103.2 | LUCKY |
_Vs Division | 8 | 3 | 3 | 0 | 0 | 1 | 1 | 0 | 24 | 24 | 0 | 9 | 0.563 | 24 | 42 | 66 | 0 | 1 | 13 | 5 | 5 | 1 | 255 | 102 | 76 | 72 | 8 | 271 | 78 | 74 | 184 | 26 | 4 | 15.38% | 26 | 8 | 69.23% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 200 | 143 | 186 | 54 | 100 | 52 | 55.6% | 9.4% | 91.1% | 100.6 | Unlucky | |
_Vs Conference | 8 | 3 | 3 | 0 | 0 | 1 | 1 | 0 | 24 | 24 | 0 | 9 | 0.563 | 24 | 42 | 66 | 0 | 1 | 13 | 5 | 5 | 1 | 255 | 102 | 76 | 72 | 8 | 271 | 78 | 74 | 184 | 26 | 4 | 15.38% | 26 | 8 | 69.23% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 200 | 143 | 186 | 54 | 100 | 52 | 55.6% | 9.4% | 91.1% | 100.6 | Unlucky | |
_Since Last GM Reset | 8 | 3 | 3 | 0 | 0 | 1 | 1 | 0 | 24 | 24 | 0 | 9 | 0.563 | 24 | 42 | 66 | 0 | 1 | 13 | 5 | 5 | 1 | 255 | 102 | 76 | 72 | 8 | 271 | 78 | 74 | 184 | 26 | 4 | 15.38% | 26 | 8 | 69.23% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 200 | 143 | 186 | 54 | 100 | 52 | 55.6% | 9.4% | 91.1% | 100.6 | Unlucky | |
Total | 8 | 3 | 3 | 0 | 0 | 1 | 1 | 0 | 24 | 24 | 0 | 9 | 0.563 | 24 | 42 | 66 | 0 | 1 | 13 | 5 | 5 | 1 | 255 | 102 | 76 | 72 | 8 | 271 | 78 | 74 | 184 | 26 | 4 | 15.38% | 26 | 8 | 69.23% | 0 | 149 | 291 | 51.20% | 141 | 278 | 50.72% | 68 | 127 | 53.54% | 200 | 143 | 186 | 54 | 100 | 52 | 55.6% | 9.4% | 91.1% | 100.6 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 291 |
Neutral Zone Start | 127 |
Defensive Zone Start | 278 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 358 |
Faceoffs Lost | 338 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.8 | 9.57 |
2nd Period | 22.3 | 20.31 |
3rd Period | 31.3 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.6 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 20 |
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PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 3 |
Lost | 3 | 0 |
Overtime Lost | 0 | 1 |
PP Attempt | 26 |
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PP Goal | 4 |
PK Attempt | 26 |
PK Goal Against | 8 |
Home | |
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Shots For | 31.9 |
Shots Against | 33.9 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 23.0 |
Shots Blocked | 9.8 |
Pim | 9.3 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Fri, Sep 4 | ![]() | @ | ![]() | CAN5,CZE3 | RECAP |
Sun, Sep 6 | ![]() | @ | ![]() | CAN4,EUR5 (OT) | RECAP |
Tue, Sep 8 | ![]() | @ | ![]() | SWE2,CAN1 | RECAP |
Wed, Sep 9 | ![]() | @ | ![]() | U232,CAN1 | RECAP |
Fri, Sep 11 | ![]() | @ | ![]() | CZE3,CAN0 | RECAP |
Sun, Sep 13 | ![]() | @ | ![]() | EUR4,CAN5 (SO) | RECAP |
Tue, Sep 15 | ![]() | @ | ![]() | CAN2,SWE0 | RECAP |
Wed, Sep 16 | ![]() | @ | ![]() | CAN6,U235 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
116,800,000$ | 0$ | 0$ | 79,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Canada A | ||
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$ | 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 |
116,800,000$ | 116,800,000$ | 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 | 9,061,538$ | 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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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||
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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 |
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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