Sweden 4-0-0, 8pts · 1st 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mika Zibanejad | C | 100.00 | 66 | 45 | 81 | 83 | 83 | 90 | 85 | 82 | 91 | 66 | 74 | 74 | 84 | 73 | 77 | 72 | 74 | 27 | 5,400,000$/1yrs | 5,400,000$/1yrs | ||||
Elias Lindholm | C/RW | 100.00 | 68 | 39 | 86 | 79 | 81 | 85 | 89 | 78 | 88 | 61 | 65 | 73 | 78 | 71 | 73 | 72 | 71 | 25 | 5,300,000$/1yrs | 5,300,000$/1yrs | ||||
Nicklas Backstrom | C | 100.00 | 60 | 39 | 88 | 84 | 79 | 85 | 86 | 82 | 91 | 70 | 57 | 64 | 84 | 82 | 78 | 72 | 71 | 32 | 7,800,000$/2yrs | 7,800,000$/2yrs | ||||
Elias Pettersson | C | 100.00 | 64 | 38 | 88 | 85 | 72 | 84 | 85 | 87 | 68 | 65 | 65 | 62 | 84 | 63 | 67 | 72 | 70 | 21 | 3,000,000$/2yrs | 3,000,000$/2yrs | ||||
Gabriel Landeskog | LW | 100.00 | 71 | 47 | 71 | 80 | 84 | 87 | 84 | 78 | 88 | 62 | 65 | 62 | 82 | 75 | 87 | 72 | 70 | 27 | 6,600,000$/3yrs | 6,600,000$/3yrs | ||||
William Karlsson | C | 100.00 | 61 | 39 | 88 | 78 | 75 | 84 | 89 | 77 | 91 | 63 | 58 | 72 | 79 | 73 | 76 | 72 | 69 | 27 | 5,000,000$/3yrs | 5,000,000$/3yrs | ||||
William Nylander | RW | 100.00 | 56 | 39 | 88 | 83 | 73 | 85 | 82 | 82 | 78 | 60 | 65 | 60 | 79 | 67 | 72 | 72 | 69 | 24 | 2,800,000$/1yrs | 2,800,000$/1yrs | ||||
Filip Forsberg | LW/RW | 100.00 | 69 | 43 | 81 | 81 | 82 | 83 | 85 | 81 | 55 | 61 | 63 | 65 | 79 | 71 | 73 | 72 | 69 | 26 | 6,000,000$/3yrs | 6,000,000$/3yrs | ||||
Rickard Rakell | C/LW/RW | 100.00 | 68 | 43 | 86 | 77 | 78 | 85 | 83 | 77 | 63 | 61 | 57 | 65 | 77 | 74 | 73 | 72 | 68 | 27 | 4,200,000$/1yrs | 4,200,000$/1yrs | ||||
Carl Hagelin | LW | 100.00 | 60 | 39 | 82 | 78 | 75 | 77 | 81 | 70 | 61 | 55 | 53 | 74 | 67 | 80 | 74 | 72 | 66 | 32 | 1,900,000$/1yrs | 1,900,000$/1yrs | ||||
Jesper Fast | RW | 100.00 | 73 | 39 | 84 | 71 | 76 | 81 | 85 | 66 | 56 | 54 | 54 | 73 | 66 | 77 | 67 | 72 | 65 | 28 | 2,300,000$/2yrs | 2,300,000$/2yrs | ||||
Alexander Steen | LW/RW | 100.00 | 60 | 40 | 88 | 66 | 80 | 78 | 81 | 67 | 70 | 52 | 53 | 74 | 68 | 86 | 76 | 72 | 65 | 36 | 2,200,000$/1yrs | 2,200,000$/1yrs | ||||
Victor Hedman | D | 100.00 | 73 | 48 | 77 | 65 | 96 | 90 | 85 | 67 | 30 | 68 | 55 | 80 | 59 | 78 | 80 | 72 | 73 | 29 | 7,000,000$/1yrs | 7,000,000$/1yrs | ||||
Alexander Edler | D | 100.00 | 80 | 42 | 66 | 62 | 83 | 90 | 82 | 62 | 30 | 61 | 51 | 84 | 58 | 84 | 75 | 72 | 72 | 34 | 3,500,000$/1yrs | 3,500,000$/1yrs | ||||
Erik Karlsson | D | 100.00 | 68 | 39 | 84 | 69 | 74 | 91 | 82 | 67 | 30 | 67 | 51 | 79 | 58 | 78 | 73 | 72 | 71 | 30 | 7,600,000$/4yrs | 7,600,000$/4yrs | ||||
Oscar Klefbom | D | 100.00 | 70 | 42 | 85 | 63 | 82 | 91 | 83 | 63 | 30 | 61 | 50 | 81 | 55 | 73 | 67 | 72 | 70 | 27 | 3,700,000$/4yrs | 3,700,000$/4yrs | ||||
Mattias Ekholm | D | 100.00 | 70 | 46 | 78 | 60 | 85 | 90 | 88 | 61 | 30 | 58 | 52 | 81 | 55 | 78 | 74 | 72 | 70 | 30 | 5,200,000$/3yrs | 5,200,000$/3yrs | ||||
Jonas Brodin | D | 100.00 | 69 | 39 | 84 | 57 | 83 | 87 | 89 | 57 | 30 | 57 | 47 | 80 | 51 | 73 | 67 | 72 | 68 | 27 | 3,300,000$/4yrs | 3,300,000$/4yrs | ||||
Scratches | ||||||||||||||||||||||||||
Johan Larsson | C/LW | 100.00 | 70 | 43 | 80 | 65 | 73 | 82 | 84 | 64 | 86 | 51 | 51 | 74 | 63 | 75 | 68 | 48 | 64 | 28 | 800,000$/1yrs | 800,000$/1yrs | ||||
TEAM AVERAGE | 100.00 | 67 | 42 | 82 | 73 | 80 | 86 | 85 | 72 | 61 | 61 | 57 | 72 | 70 | 75 | 74 | 71 | 69 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jacob Markstrom | 100.00 | 93 | 94 | 92 | 96 | 92 | 92 | 93 | 93 | 92 | 93 | 91 | 78 | 84 | 72 | 90 | 30 | 2,600,000$/2yrs | 2,600,000$/2yrs | |
Robin Lehner | 100.00 | 93 | 89 | 87 | 97 | 92 | 93 | 93 | 92 | 93 | 94 | 89 | 77 | 83 | 72 | 89 | 29 | 5,000,000$/3yrs | 5,000,000$/3yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 93 | 92 | 90 | 97 | 92 | 93 | 93 | 93 | 93 | 94 | 90 | 78 | 84 | 72 | 90 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd Reirden | 87 | 90 | 93 | 81 | 76 | 75 | 78 | USA | 48 | 5 | 1,000,000$ |
General Manager | Lukas Velecky |
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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 | Mika Zibanejad | Sweden | 0 | C | 4 | 3 | 6 | 9 | 3 | 2 | 0 | 8 | 16 | 4 | 14 | 18.75% | 2 | 22.20 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 47.01% | 117 | 0 | 0 | 0 | 0 | 2.03 | 0 | 0 |
2 | Elias Pettersson | Sweden | 0 | C | 4 | 3 | 2 | 5 | 6 | 2 | 0 | 3 | 10 | 1 | 15 | 30.00% | 0 | 15.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 29.41% | 68 | 0 | 0 | 0 | 0 | 1.57 | 0 | 0 |
3 | Elias Lindholm | Sweden | 0 | C/RW | 4 | 2 | 3 | 5 | 3 | 0 | 0 | 7 | 14 | 2 | 7 | 14.29% | 0 | 21.94 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 4 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 |
4 | Gabriel Landeskog | Sweden | 0 | LW | 4 | 1 | 4 | 5 | 5 | 0 | 0 | 5 | 10 | 1 | 11 | 10.00% | 0 | 17.69 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 8 | 0 | 0 | 0 | 0 | 1.41 | 0 | 0 |
5 | Victor Hedman | Sweden | 0 | D | 4 | 1 | 3 | 4 | 1 | 10 | 0 | 13 | 5 | 1 | 2 | 20.00% | 6 | 22.35 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 |
6 | Erik Karlsson | Sweden | 0 | D | 4 | 2 | 1 | 3 | 4 | 0 | 0 | 5 | 9 | 0 | 4 | 22.22% | 7 | 21.58 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 |
7 | Filip Forsberg | Sweden | 0 | LW/RW | 4 | 2 | 1 | 3 | 3 | 0 | 0 | 12 | 13 | 0 | 7 | 15.38% | 0 | 20.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 |
8 | Alexander Edler | Sweden | 0 | D | 4 | 0 | 2 | 2 | 5 | 8 | 0 | 15 | 2 | 0 | 2 | 0.00% | 2 | 19.35 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 |
9 | Jonas Brodin | Sweden | 0 | D | 4 | 0 | 2 | 2 | 4 | 2 | 0 | 6 | 1 | 0 | 0 | 0.00% | 5 | 14.55 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 |
10 | Oscar Klefbom | Sweden | 0 | D | 4 | 0 | 1 | 1 | 4 | 2 | 0 | 7 | 2 | 1 | 1 | 0.00% | 4 | 18.50 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 |
11 | William Karlsson | Sweden | 0 | C | 4 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 7 | 0 | 2 | 14.29% | 0 | 8.97 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 1 | 0 | 40.00% | 45 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 |
12 | Jesper Fast | Sweden | 0 | RW | 4 | 1 | 0 | 1 | 1 | 2 | 0 | 2 | 2 | 1 | 2 | 50.00% | 2 | 11.76 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 |
13 | Rickard Rakell | Sweden | 0 | C/LW/RW | 4 | 0 | 1 | 1 | 1 | 2 | 0 | 1 | 2 | 0 | 3 | 0.00% | 0 | 11.81 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 |
14 | Carl Hagelin | Sweden | 0 | LW | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 4 | 3 | 0.00% | 0 | 8.56 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 |
15 | Nicklas Backstrom | Sweden | 0 | C | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 8 | 2 | 5 | 12.50% | 0 | 12.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.00% | 60 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 |
16 | William Nylander | Sweden | 0 | RW | 4 | 0 | 1 | 1 | 5 | 0 | 0 | 1 | 9 | 2 | 7 | 0.00% | 0 | 16.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 4 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 |
17 | Alexander Steen | Sweden | 0 | LW/RW | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | 0 | 0 | 0.00% | 0 | 7.16 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 66.67% | 6 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Mattias Ekholm | Sweden | 0 | D | 4 | 0 | 0 | 0 | 2 | 2 | 0 | 7 | 1 | 0 | 1 | 0.00% | 6 | 20.99 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 72 | 17 | 28 | 45 | 50 | 32 | 0 | 95 | 117 | 19 | 86 | 14.53% | 34 | 16.27 | 2 | 4 | 6 | 0 | 0 | 0 | 82 | 4 | 1 | 44.21% | 328 | 0 | 0 | 0 | 0 | 0.77 | 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 | Robin Lehner | Sweden | 4 | 4 | 0 | 0 | 0.934 | 1.75 | 240 | 0 | 0 | 7 | 106 | 0 | 0 | 0 | 0.000 | 0 | 4 | 0 | 0 | 0 | 0 |
Team Total or Average | 4 | 4 | 0 | 0 | 0.934 | 1.75 | 240 | 0 | 0 | 7 | 106 | 0 | 0 | 0 | 0.000 | 0 | 4 | 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 | Canada B | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 30 | 6 | 13 | 11 | 0 | 30 | 11 | 10 | 23 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 61 | 132 | 46.21% | 54 | 128 | 42.19% | 30 | 68 | 44.12% | 22 | 15 | 24 | 7 | 12 | 5 | 57.1% | 13.3% | 90.0% | 103.3 | FUN |
2 | Russia | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 4 | 0 | 1 | 0 | 30 | 11 | 9 | 10 | 0 | 25 | 3 | 4 | 26 | 6 | 1 | 16.67% | 2 | 1 | 50.00% | 0 | 61 | 132 | 46.21% | 54 | 128 | 42.19% | 30 | 68 | 44.12% | 25 | 18 | 23 | 6 | 11 | 5 | 100.0% | 16.7% | 96.0% | 112.7 | LUCKY |
3 | USA | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 4 | 3 | 1 | 0 | 57 | 17 | 18 | 22 | 0 | 51 | 20 | 18 | 46 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 0 | 61 | 132 | 46.21% | 54 | 128 | 42.19% | 30 | 68 | 44.12% | 48 | 34 | 47 | 13 | 24 | 12 | 77.8% | 14.0% | 94.1% | 108.2 | LUCKY |
_Since Last GM Reset | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 7 | 10 | 8 | 1.000 | 17 | 28 | 45 | 0 | 0 | 9 | 4 | 4 | 0 | 117 | 34 | 40 | 43 | 0 | 106 | 34 | 32 | 95 | 13 | 2 | 15.38% | 12 | 2 | 83.33% | 0 | 61 | 132 | 46.21% | 54 | 128 | 42.19% | 30 | 68 | 44.12% | 96 | 69 | 95 | 27 | 48 | 23 | 75.0% | 14.5% | 93.4% | 107.9 | LUCKY | |
Total | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 7 | 10 | 8 | 1.000 | 17 | 28 | 45 | 0 | 0 | 9 | 4 | 4 | 0 | 117 | 34 | 40 | 43 | 0 | 106 | 34 | 32 | 95 | 13 | 2 | 15.38% | 12 | 2 | 83.33% | 0 | 61 | 132 | 46.21% | 54 | 128 | 42.19% | 30 | 68 | 44.12% | 96 | 69 | 95 | 27 | 48 | 23 | 75.0% | 14.5% | 93.4% | 107.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 132 |
Neutral Zone Start | 68 |
Defensive Zone Start | 128 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 145 |
Faceoffs Lost | 183 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.5 | 9.57 |
2nd Period | 18.5 | 20.31 |
3rd Period | 29.3 | 30.68 |
Overtime | 29.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 2.3 | 0.64 |
2nd Period | 3.3 | 1.65 |
3rd Period | 4.3 | 2.67 |
Overtime | 4.3 | 2.83 |
Even Strenght Goal | 15 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 3 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 13 |
---|---|
PP Goal | 2 |
PK Attempt | 12 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 29.3 |
Shots Against | 26.5 |
Goals For | 4.3 |
Goals Against | 1.8 |
Hits | 23.8 |
Shots Blocked | 8.5 |
Pim | 8.0 |
Total Cap Hit | 91,200,000$ |
Cap Space | -11,700,000$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 79,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Sweden Roster | Pos | Age | Cap Hit | 1--1998 | 2--1997 | 3--1996 | 4--1995 | 5--1994 | 6--1993 | 7--1992 | 8--1991 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Edler | D | 34 | 3,500,000$ | 3,500,000$ | |||||||
Alexander Steen | LW/RW | 36 | 2,200,000$ | 2,200,000$ | |||||||
Carl Hagelin | LW | 32 | 1,900,000$ | 1,900,000$ | |||||||
Elias Lindholm | C/RW | 25 | 5,300,000$ | 5,300,000$ | |||||||
Elias Pettersson | C | 21 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Erik Karlsson | D | 30 | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | ||||
Filip Forsberg | LW/RW | 26 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Gabriel Landeskog | LW | 27 | 6,600,000$ | 6,600,000$ | 6,600,000$ | 6,600,000$ | |||||
Jacob Markstrom | G | 30 | 2,600,000$ | 2,600,000$ | 2,600,000$ | ||||||
Jesper Fast | RW | 28 | 2,300,000$ | 2,300,000$ | 2,300,000$ | ||||||
Johan Larsson | C/LW | 28 | 800,000$ | 800,000$ | |||||||
Jonas Brodin | D | 27 | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | ||||
Mattias Ekholm | D | 30 | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | |||||
Mika Zibanejad | C | 27 | 5,400,000$ | 5,400,000$ | |||||||
Nicklas Backstrom | C | 32 | 7,800,000$ | 7,800,000$ | 7,800,000$ | ||||||
Oscar Klefbom | D | 27 | 3,700,000$ | 3,700,000$ | 3,700,000$ | 3,700,000$ | 3,700,000$ | ||||
Rickard Rakell | C/LW/RW | 27 | 4,200,000$ | 4,200,000$ | |||||||
Robin Lehner | G | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Victor Hedman | D | 29 | 7,000,000$ | 7,000,000$ | |||||||
William Karlsson | C | 27 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
William Nylander | RW | 24 | 2,800,000$ | 2,800,000$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Canada B | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 30 | 6 | 13 | 11 | 0 | 30 | 11 | 10 | 23 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 61 | 132 | 46.21% | 54 | 128 | 42.19% | 30 | 68 | 44.12% | 22 | 15 | 24 | 7 | 12 | 5 | 57.1% | 13.3% | 90.0% | 103.3 | FUN |
2 | Russia | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 4 | 0 | 1 | 0 | 30 | 11 | 9 | 10 | 0 | 25 | 3 | 4 | 26 | 6 | 1 | 16.67% | 2 | 1 | 50.00% | 0 | 61 | 132 | 46.21% | 54 | 128 | 42.19% | 30 | 68 | 44.12% | 25 | 18 | 23 | 6 | 11 | 5 | 100.0% | 16.7% | 96.0% | 112.7 | LUCKY |
3 | USA | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 4 | 3 | 1 | 0 | 57 | 17 | 18 | 22 | 0 | 51 | 20 | 18 | 46 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 0 | 61 | 132 | 46.21% | 54 | 128 | 42.19% | 30 | 68 | 44.12% | 48 | 34 | 47 | 13 | 24 | 12 | 77.8% | 14.0% | 94.1% | 108.2 | LUCKY |
_Since Last GM Reset | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 7 | 10 | 8 | 1.000 | 17 | 28 | 45 | 0 | 0 | 9 | 4 | 4 | 0 | 117 | 34 | 40 | 43 | 0 | 106 | 34 | 32 | 95 | 13 | 2 | 15.38% | 12 | 2 | 83.33% | 0 | 61 | 132 | 46.21% | 54 | 128 | 42.19% | 30 | 68 | 44.12% | 96 | 69 | 95 | 27 | 48 | 23 | 75.0% | 14.5% | 93.4% | 107.9 | LUCKY | |
Total | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 7 | 10 | 8 | 1.000 | 17 | 28 | 45 | 0 | 0 | 9 | 4 | 4 | 0 | 117 | 34 | 40 | 43 | 0 | 106 | 34 | 32 | 95 | 13 | 2 | 15.38% | 12 | 2 | 83.33% | 0 | 61 | 132 | 46.21% | 54 | 128 | 42.19% | 30 | 68 | 44.12% | 96 | 69 | 95 | 27 | 48 | 23 | 75.0% | 14.5% | 93.4% | 107.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 132 |
Neutral Zone Start | 68 |
Defensive Zone Start | 128 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 145 |
Faceoffs Lost | 183 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.5 | 9.57 |
2nd Period | 18.5 | 20.31 |
3rd Period | 29.3 | 30.68 |
Overtime | 29.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 2.3 | 0.64 |
2nd Period | 3.3 | 1.65 |
3rd Period | 4.3 | 2.67 |
Overtime | 4.3 | 2.83 |
Even Strenght Goal | 15 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 3 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 13 |
---|---|
PP Goal | 2 |
PK Attempt | 12 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 29.3 |
Shots Against | 26.5 |
Goals For | 4.3 |
Goals Against | 1.8 |
Hits | 23.8 |
Shots Blocked | 8.5 |
Pim | 8.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Mon, Sep 7 | SWE | @ | RUS | SWE5,RUS1 | RECAP |
Wed, Sep 9 | SWE | @ | CND | SWE4,CND3 | RECAP |
Thu, Sep 10 | USA | @ | SWE | USA1,SWE4 | RECAP |
Fri, Sep 11 | SWE | @ | USA | SWE4,USA2 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
91,200,000$ | 0$ | 0$ | 79,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | |||
City | Sweden | ||
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 | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
3 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
91,200,000$ | 91,200,000$ | 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 | 0$ | 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 |
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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 |
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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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