Sweden 4-4-0, 8pts · 4th 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 | 43 | 73 | 27 | 5,400,000$/1yrs | 5,400,000$/1yrs | ||||
Elias Pettersson | C | 100.00 | 64 | 38 | 88 | 85 | 72 | 84 | 85 | 87 | 68 | 65 | 65 | 62 | 84 | 63 | 67 | 43 | 70 | 21 | 3,000,000$/2yrs | 3,000,000$/2yrs | ||||
Elias Lindholm | C/RW | 100.00 | 68 | 39 | 86 | 79 | 81 | 85 | 89 | 78 | 88 | 61 | 65 | 73 | 78 | 71 | 73 | 43 | 70 | 25 | 5,300,000$/1yrs | 5,300,000$/1yrs | ||||
Gabriel Landeskog | LW | 100.00 | 71 | 47 | 71 | 80 | 84 | 87 | 84 | 78 | 88 | 62 | 65 | 62 | 82 | 75 | 87 | 43 | 70 | 27 | 6,600,000$/3yrs | 6,600,000$/3yrs | ||||
Nicklas Backstrom | C | 100.00 | 60 | 39 | 88 | 84 | 79 | 85 | 86 | 82 | 91 | 70 | 57 | 64 | 84 | 82 | 78 | 43 | 70 | 32 | 7,800,000$/2yrs | 7,800,000$/2yrs | ||||
William Karlsson | C | 100.00 | 61 | 39 | 88 | 78 | 75 | 84 | 89 | 77 | 91 | 63 | 58 | 72 | 79 | 73 | 76 | 43 | 69 | 27 | 5,000,000$/3yrs | 5,000,000$/3yrs | ||||
Filip Forsberg | LW/RW | 100.00 | 69 | 43 | 81 | 81 | 82 | 83 | 85 | 81 | 55 | 61 | 63 | 65 | 79 | 71 | 73 | 43 | 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 | 43 | 68 | 27 | 4,200,000$/1yrs | 4,200,000$/1yrs | ||||
William Nylander | RW | 100.00 | 56 | 39 | 88 | 83 | 73 | 85 | 82 | 82 | 78 | 60 | 65 | 60 | 79 | 67 | 72 | 43 | 68 | 24 | 2,800,000$/1yrs | 2,800,000$/1yrs | ||||
Carl Hagelin | LW | 100.00 | 60 | 39 | 82 | 78 | 75 | 77 | 81 | 70 | 61 | 55 | 53 | 74 | 67 | 80 | 74 | 43 | 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 | 43 | 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 | 43 | 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 | 43 | 73 | 29 | 7,000,000$/1yrs | 7,000,000$/1yrs | ||||
Erik Karlsson | D | 100.00 | 68 | 39 | 84 | 69 | 74 | 91 | 82 | 67 | 30 | 67 | 51 | 79 | 58 | 78 | 73 | 43 | 71 | 30 | 7,600,000$/4yrs | 7,600,000$/4yrs | ||||
Alexander Edler | D | 100.00 | 80 | 42 | 66 | 62 | 83 | 90 | 82 | 62 | 30 | 61 | 51 | 84 | 58 | 84 | 75 | 43 | 71 | 34 | 3,500,000$/1yrs | 3,500,000$/1yrs | ||||
Oscar Klefbom | D | 100.00 | 70 | 42 | 85 | 63 | 82 | 91 | 83 | 63 | 30 | 61 | 50 | 81 | 55 | 73 | 67 | 43 | 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 | 43 | 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 | 43 | 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 | 32 | 63 | 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 | 42 | 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 | 43 | 89 | 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 | 43 | 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 | 43 | 89 |
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 |
---|
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 | Elias Lindholm | Sweden | 0 | C/RW | 8 | 4 | 6 | 10 | 2 | 2 | 0 | 10 | 39 | 13 | 17 | 10.26% | 2 | 21.54 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 1.16 | 1 | 1 |
2 | Mika Zibanejad | Sweden | 0 | C | 8 | 4 | 6 | 10 | 2 | 0 | 0 | 7 | 34 | 15 | 29 | 11.76% | 1 | 23.28 | 2 | 2 | 4 | 0 | 0 | 0 | 7 | 0 | 0 | 53.99% | 276 | 0 | 0 | 0 | 0 | 1.07 | 0 | 1 |
3 | Gabriel Landeskog | Sweden | 0 | LW | 8 | 3 | 5 | 8 | 2 | 10 | 0 | 18 | 27 | 9 | 21 | 11.11% | 0 | 20.31 | 0 | 4 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 12 | 0 | 0 | 0 | 0 | 0.98 | 0 | 1 |
4 | Filip Forsberg | Sweden | 0 | LW/RW | 8 | 1 | 6 | 7 | -3 | 2 | 0 | 24 | 19 | 11 | 20 | 5.26% | 0 | 19.16 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 |
5 | Elias Pettersson | Sweden | 0 | C | 8 | 4 | 2 | 6 | -5 | 0 | 0 | 11 | 16 | 3 | 5 | 25.00% | 0 | 13.13 | 4 | 2 | 6 | 0 | 0 | 0 | 0 | 1 | 0 | 40.41% | 146 | 0 | 0 | 0 | 0 | 1.14 | 0 | 1 |
6 | Victor Hedman | Sweden | 0 | D | 8 | 1 | 4 | 5 | 2 | 4 | 0 | 8 | 13 | 3 | 9 | 7.69% | 9 | 23.10 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 |
7 | William Nylander | Sweden | 0 | RW | 8 | 1 | 3 | 4 | -3 | 0 | 0 | 6 | 27 | 5 | 8 | 3.70% | 1 | 17.85 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 10 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 |
8 | Oscar Klefbom | Sweden | 0 | D | 8 | 1 | 2 | 3 | -4 | 2 | 0 | 15 | 7 | 2 | 3 | 14.29% | 17 | 18.82 | 1 | 2 | 3 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 |
9 | Rickard Rakell | Sweden | 0 | C/LW/RW | 8 | 1 | 2 | 3 | -5 | 4 | 0 | 6 | 12 | 6 | 9 | 8.33% | 0 | 12.76 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 |
10 | Alexander Edler | Sweden | 0 | D | 8 | 0 | 3 | 3 | 3 | 6 | 0 | 24 | 7 | 5 | 2 | 0.00% | 13 | 20.14 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 |
11 | William Karlsson | Sweden | 0 | C | 8 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 9 | 8 | 12 | 11.11% | 1 | 8.88 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 54.81% | 104 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 |
12 | Erik Karlsson | Sweden | 0 | D | 8 | 1 | 1 | 2 | -5 | 4 | 0 | 13 | 18 | 3 | 12 | 5.56% | 10 | 21.91 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 |
13 | Alexander Steen | Sweden | 0 | LW/RW | 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 8 | 1 | 3 | 12.50% | 1 | 7.12 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 63.64% | 11 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 |
14 | Nicklas Backstrom | Sweden | 0 | C | 8 | 0 | 1 | 1 | -3 | 0 | 0 | 6 | 13 | 6 | 15 | 0.00% | 1 | 14.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.93% | 138 | 0 | 0 | 0 | 0 | 0.17 | 1 | 1 |
15 | Mattias Ekholm | Sweden | 0 | D | 8 | 0 | 1 | 1 | -4 | 6 | 0 | 17 | 7 | 1 | 4 | 0.00% | 9 | 18.49 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 |
16 | Jesper Fast | Sweden | 0 | RW | 8 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 5 | 2 | 8 | 0.00% | 0 | 7.11 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
17 | Carl Hagelin | Sweden | 0 | LW | 8 | 0 | 0 | 0 | -5 | 2 | 0 | 5 | 11 | 5 | 9 | 0.00% | 1 | 12.73 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 25.00% | 8 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Jonas Brodin | Sweden | 0 | D | 8 | 0 | 0 | 0 | -4 | 2 | 0 | 18 | 5 | 0 | 0 | 0.00% | 5 | 15.45 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 144 | 23 | 43 | 66 | -30 | 46 | 0 | 196 | 277 | 98 | 186 | 8.30% | 71 | 16.47 | 11 | 21 | 32 | 0 | 0 | 0 | 152 | 3 | 1 | 48.36% | 730 | 0 | 0 | 0 | 0 | 0.56 | 2 | 5 |
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 | Jacob Markstrom | Sweden | 4 | 2 | 2 | 0 | 0.900 | 3.18 | 245 | 0 | 0 | 13 | 130 | 0 | 0 | 0 | 0.800 | 5 | 4 | 4 | 1 | 0 | 0 |
2 | Robin Lehner | Sweden | 4 | 2 | 2 | 0 | 0.933 | 2.01 | 239 | 0 | 0 | 8 | 120 | 0 | 0 | 0 | 0.000 | 0 | 4 | 4 | 1 | 0 | 0 |
Team Total or Average | 8 | 4 | 4 | 0 | 0.916 | 2.60 | 484 | 0 | 0 | 21 | 250 | 0 | 0 | 0 | 0.800 | 5 | 8 | 8 | 2 | 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 A | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 58 | 23 | 13 | 22 | 0 | 62 | 17 | 14 | 43 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 48 | 34 | 47 | 13 | 24 | 11 | 33.3% | 3.4% | 95.2% | 98.6 | DULL |
2 | Europe | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 1 | 2 | 61 | 17 | 25 | 17 | 7 | 61 | 18 | 12 | 52 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 48 | 34 | 50 | 15 | 26 | 13 | 50.0% | 9.8% | 90.2% | 100.0 | FUN |
3 | North America U23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 4 | 3 | 2 | 0 | 64 | 31 | 18 | 15 | 0 | 62 | 22 | 10 | 49 | 12 | 4 | 33.33% | 5 | 0 | 100.00% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 50 | 35 | 44 | 14 | 24 | 13 | 41.7% | 14.1% | 88.7% | 102.8 | FUN |
4 | Czech Republic | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 2 | 5 | 0 | 0 | 94 | 31 | 37 | 26 | 0 | 65 | 14 | 10 | 52 | 7 | 4 | 57.14% | 4 | 0 | 100.00% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 50 | 36 | 43 | 12 | 25 | 13 | 37.5% | 7.4% | 92.3% | 99.8 | DULL |
_Vs Division | 8 | 3 | 4 | 0 | 0 | 0 | 1 | 0 | 24 | 21 | 3 | 8 | 0.500 | 24 | 43 | 67 | 0 | 0 | 8 | 11 | 4 | 2 | 277 | 102 | 93 | 80 | 7 | 250 | 71 | 46 | 196 | 34 | 11 | 32.35% | 22 | 3 | 86.36% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 198 | 140 | 185 | 56 | 100 | 51 | 41.9% | 8.7% | 91.6% | 100.3 | DULL | |
_Vs Conference | 8 | 3 | 4 | 0 | 0 | 0 | 1 | 0 | 24 | 21 | 3 | 8 | 0.500 | 24 | 43 | 67 | 0 | 0 | 8 | 11 | 4 | 2 | 277 | 102 | 93 | 80 | 7 | 250 | 71 | 46 | 196 | 34 | 11 | 32.35% | 22 | 3 | 86.36% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 198 | 140 | 185 | 56 | 100 | 51 | 41.9% | 8.7% | 91.6% | 100.3 | DULL | |
_Since Last GM Reset | 8 | 3 | 4 | 0 | 0 | 0 | 1 | 0 | 24 | 21 | 3 | 8 | 0.500 | 24 | 43 | 67 | 0 | 0 | 8 | 11 | 4 | 2 | 277 | 102 | 93 | 80 | 7 | 250 | 71 | 46 | 196 | 34 | 11 | 32.35% | 22 | 3 | 86.36% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 198 | 140 | 185 | 56 | 100 | 51 | 41.9% | 8.7% | 91.6% | 100.3 | DULL | |
Total | 8 | 3 | 4 | 0 | 0 | 0 | 1 | 0 | 24 | 21 | 3 | 8 | 0.500 | 24 | 43 | 67 | 0 | 0 | 8 | 11 | 4 | 2 | 277 | 102 | 93 | 80 | 7 | 250 | 71 | 46 | 196 | 34 | 11 | 32.35% | 22 | 3 | 86.36% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 198 | 140 | 185 | 56 | 100 | 51 | 41.9% | 8.7% | 91.6% | 100.3 | DULL |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 319 |
Neutral Zone Start | 131 |
Defensive Zone Start | 274 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 353 |
Faceoffs Lost | 371 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.8 | 9.57 |
2nd Period | 24.4 | 20.31 |
3rd Period | 34.4 | 30.68 |
Overtime | 35.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 13 |
---|---|
PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 2 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 34 |
---|---|
PP Goal | 11 |
PK Attempt | 22 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 34.6 |
Shots Against | 31.3 |
Goals For | 3.0 |
Goals Against | 2.6 |
Hits | 24.5 |
Shots Blocked | 8.9 |
Pim | 5.8 |
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$ | UFA | ||||||
Alexander Steen | LW/RW | 36 | 2,200,000$ | 2,200,000$ | UFA | ||||||
Carl Hagelin | LW | 32 | 1,900,000$ | 1,900,000$ | UFA | ||||||
Elias Lindholm | C/RW | 25 | 5,300,000$ | 5,300,000$ | RFA | ||||||
Elias Pettersson | C | 21 | 3,000,000$ | 3,000,000$ | 3,000,000$ | RFA | |||||
Erik Karlsson | D | 30 | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | UFA | |||
Filip Forsberg | LW/RW | 26 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Gabriel Landeskog | LW | 27 | 6,600,000$ | 6,600,000$ | 6,600,000$ | 6,600,000$ | UFA | ||||
Jacob Markstrom | G | 30 | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | |||||
Jesper Fast | RW | 28 | 2,300,000$ | 2,300,000$ | 2,300,000$ | UFA | |||||
Johan Larsson | C/LW | 28 | 800,000$ | 800,000$ | UFA | ||||||
Jonas Brodin | D | 27 | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | UFA | |||
Mattias Ekholm | D | 30 | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | UFA | ||||
Mika Zibanejad | C | 27 | 5,400,000$ | 5,400,000$ | UFA | ||||||
Nicklas Backstrom | C | 32 | 7,800,000$ | 7,800,000$ | 7,800,000$ | UFA | |||||
Oscar Klefbom | D | 27 | 3,700,000$ | 3,700,000$ | 3,700,000$ | 3,700,000$ | 3,700,000$ | UFA | |||
Rickard Rakell | C/LW/RW | 27 | 4,200,000$ | 4,200,000$ | UFA | ||||||
Robin Lehner | G | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Victor Hedman | D | 29 | 7,000,000$ | 7,000,000$ | UFA | ||||||
William Karlsson | C | 27 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
William Nylander | RW | 24 | 2,800,000$ | 2,800,000$ | 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 |
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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 |
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1 | Canada A | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 58 | 23 | 13 | 22 | 0 | 62 | 17 | 14 | 43 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 48 | 34 | 47 | 13 | 24 | 11 | 33.3% | 3.4% | 95.2% | 98.6 | DULL |
2 | Europe | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 1 | 2 | 61 | 17 | 25 | 17 | 7 | 61 | 18 | 12 | 52 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 48 | 34 | 50 | 15 | 26 | 13 | 50.0% | 9.8% | 90.2% | 100.0 | FUN |
3 | North America U23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 4 | 3 | 2 | 0 | 64 | 31 | 18 | 15 | 0 | 62 | 22 | 10 | 49 | 12 | 4 | 33.33% | 5 | 0 | 100.00% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 50 | 35 | 44 | 14 | 24 | 13 | 41.7% | 14.1% | 88.7% | 102.8 | FUN |
4 | Czech Republic | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 2 | 5 | 0 | 0 | 94 | 31 | 37 | 26 | 0 | 65 | 14 | 10 | 52 | 7 | 4 | 57.14% | 4 | 0 | 100.00% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 50 | 36 | 43 | 12 | 25 | 13 | 37.5% | 7.4% | 92.3% | 99.8 | DULL |
_Vs Division | 8 | 3 | 4 | 0 | 0 | 0 | 1 | 0 | 24 | 21 | 3 | 8 | 0.500 | 24 | 43 | 67 | 0 | 0 | 8 | 11 | 4 | 2 | 277 | 102 | 93 | 80 | 7 | 250 | 71 | 46 | 196 | 34 | 11 | 32.35% | 22 | 3 | 86.36% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 198 | 140 | 185 | 56 | 100 | 51 | 41.9% | 8.7% | 91.6% | 100.3 | DULL | |
_Vs Conference | 8 | 3 | 4 | 0 | 0 | 0 | 1 | 0 | 24 | 21 | 3 | 8 | 0.500 | 24 | 43 | 67 | 0 | 0 | 8 | 11 | 4 | 2 | 277 | 102 | 93 | 80 | 7 | 250 | 71 | 46 | 196 | 34 | 11 | 32.35% | 22 | 3 | 86.36% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 198 | 140 | 185 | 56 | 100 | 51 | 41.9% | 8.7% | 91.6% | 100.3 | DULL | |
_Since Last GM Reset | 8 | 3 | 4 | 0 | 0 | 0 | 1 | 0 | 24 | 21 | 3 | 8 | 0.500 | 24 | 43 | 67 | 0 | 0 | 8 | 11 | 4 | 2 | 277 | 102 | 93 | 80 | 7 | 250 | 71 | 46 | 196 | 34 | 11 | 32.35% | 22 | 3 | 86.36% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 198 | 140 | 185 | 56 | 100 | 51 | 41.9% | 8.7% | 91.6% | 100.3 | DULL | |
Total | 8 | 3 | 4 | 0 | 0 | 0 | 1 | 0 | 24 | 21 | 3 | 8 | 0.500 | 24 | 43 | 67 | 0 | 0 | 8 | 11 | 4 | 2 | 277 | 102 | 93 | 80 | 7 | 250 | 71 | 46 | 196 | 34 | 11 | 32.35% | 22 | 3 | 86.36% | 0 | 146 | 319 | 45.77% | 141 | 274 | 51.46% | 66 | 131 | 50.38% | 198 | 140 | 185 | 56 | 100 | 51 | 41.9% | 8.7% | 91.6% | 100.3 | DULL |
Puck Time | |
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Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
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Offensive Zone Start | 319 |
Neutral Zone Start | 131 |
Defensive Zone Start | 274 |
Puck Time | |
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With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 353 |
Faceoffs Lost | 371 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.8 | 9.57 |
2nd Period | 24.4 | 20.31 |
3rd Period | 34.4 | 30.68 |
Overtime | 35.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 13 |
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PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 2 | 2 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 34 |
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PP Goal | 11 |
PK Attempt | 22 |
PK Goal Against | 3 |
Home | |
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Shots For | 34.6 |
Shots Against | 31.3 |
Goals For | 3.0 |
Goals Against | 2.6 |
Hits | 24.5 |
Shots Blocked | 8.9 |
Pim | 5.8 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Sat, Sep 5 | CZE | @ | SWE | CZE4,SWE2 | RECAP |
Sun, Sep 6 | U23 | @ | SWE | U231,SWE4 | RECAP |
Tue, Sep 8 | SWE | @ | CAN | SWE2,CAN1 | RECAP |
Thu, Sep 10 | SWE | @ | EUR | SWE1,EUR2 | RECAP |
Sat, Sep 12 | SWE | @ | CZE | SWE5,CZE1 | RECAP |
Sun, Sep 13 | SWE | @ | U23 | SWE5,U236 | RECAP |
Tue, Sep 15 | CAN | @ | SWE | CAN2,SWE0 | RECAP |
Wed, Sep 16 | EUR | @ | SWE | EUR4,SWE5 (SO) | 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 | |||||
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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 |
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 | 7,092,308$ | 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 | |||||
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5 | |||||
6 |
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