Czech Republic 5-3-0, 10pts · 2nd 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
David Pastrnak | RW | 100.00 | 62 | 37 | 78 | 88 | 75 | 87 | 89 | 90 | 56 | 69 | 75 | 61 | 88 | 67 | 74 | 46 | 73 | 24 | 7,000,000$/2yrs | 7,000,000$/2yrs | ||||
Tomas Hertl | C/LW | 100.00 | 60 | 42 | 87 | 78 | 82 | 89 | 84 | 78 | 90 | 61 | 62 | 68 | 82 | 73 | 76 | 46 | 69 | 26 | 5,800,000$/4yrs | 5,800,000$/4yrs | ||||
Jakub Voracek | LW/RW | 100.00 | 57 | 48 | 85 | 80 | 81 | 88 | 90 | 78 | 56 | 68 | 55 | 60 | 83 | 79 | 74 | 46 | 69 | 31 | 6,200,000$/4yrs | 6,200,000$/4yrs | ||||
David Krejci | C | 100.00 | 60 | 42 | 86 | 77 | 76 | 83 | 86 | 76 | 87 | 64 | 57 | 63 | 76 | 84 | 77 | 46 | 68 | 34 | 5,400,000$/1yrs | 5,400,000$/1yrs | ||||
Ondrej Palat | LW | 100.00 | 75 | 39 | 85 | 74 | 79 | 80 | 82 | 72 | 56 | 58 | 57 | 68 | 75 | 77 | 71 | 46 | 67 | 29 | 4,600,000$/1yrs | 4,600,000$/1yrs | ||||
Jakub Vrana | LW/RW | 100.00 | 59 | 43 | 86 | 79 | 74 | 82 | 89 | 78 | 66 | 58 | 63 | 60 | 78 | 67 | 68 | 46 | 67 | 24 | 4,600,000$/2yrs | 4,600,000$/2yrs | ||||
Dominik Kubalik (R) | LW/RW | 100.00 | 67 | 40 | 87 | 78 | 76 | 77 | 87 | 75 | 55 | 53 | 66 | 60 | 76 | 69 | 68 | 46 | 66 | 25 | 1,700,000$/1yrs | 1,700,000$/1yrs | ||||
Pavel Zacha | C/LW | 100.00 | 65 | 45 | 88 | 69 | 86 | 81 | 83 | 68 | 81 | 57 | 53 | 71 | 69 | 65 | 64 | 46 | 65 | 23 | 2,000,000$/2yrs | 2,000,000$/2yrs | ||||
Radek Faksa | C | 100.00 | 68 | 48 | 74 | 67 | 87 | 81 | 88 | 65 | 88 | 50 | 54 | 69 | 66 | 71 | 69 | 46 | 64 | 26 | 2,400,000$/4yrs | 2,400,000$/4yrs | ||||
Ondrej Kase | LW/RW | 100.00 | 58 | 39 | 89 | 75 | 72 | 83 | 77 | 72 | 54 | 56 | 55 | 64 | 74 | 69 | 65 | 40 | 64 | 24 | ||||||
Tomas Nosek | C/LW | 100.00 | 69 | 39 | 86 | 66 | 79 | 72 | 83 | 61 | 83 | 49 | 52 | 69 | 65 | 75 | 69 | 46 | 62 | 28 | 1,100,000$/1yrs | 1,100,000$/1yrs | ||||
David Kampf | C/RW | 100.00 | 62 | 41 | 86 | 63 | 77 | 75 | 84 | 61 | 88 | 50 | 51 | 72 | 62 | 69 | 67 | 46 | 62 | 25 | ||||||
Radko Gudas | D | 100.00 | 87 | 55 | 71 | 52 | 92 | 83 | 85 | 52 | 30 | 53 | 48 | 80 | 51 | 78 | 73 | 46 | 69 | 30 | 2,300,000$/2yrs | 2,300,000$/2yrs | ||||
Filip Hronek | D | 100.00 | 78 | 45 | 75 | 64 | 80 | 89 | 83 | 64 | 30 | 57 | 53 | 78 | 53 | 65 | 63 | 46 | 69 | 22 | 2,100,000$/2yrs | 2,100,000$/2yrs | ||||
Roman Polak | D | 100.00 | 84 | 46 | 70 | 50 | 94 | 83 | 81 | 49 | 30 | 48 | 44 | 80 | 47 | 84 | 74 | 47 | 68 | 34 | 3,000,000$/1yrs | 3,000,000$/1yrs | ||||
Michal Kempny | D | 100.00 | 71 | 39 | 75 | 56 | 80 | 85 | 83 | 55 | 30 | 55 | 49 | 77 | 52 | 78 | 70 | 46 | 67 | 30 | 2,500,000$/1yrs | 2,500,000$/1yrs | ||||
Radim Simek | D | 100.00 | 78 | 39 | 87 | 54 | 76 | 81 | 76 | 54 | 30 | 50 | 47 | 76 | 50 | 75 | 65 | 46 | 65 | 27 | 1,000,000$/3yrs | 1,000,000$/3yrs | ||||
Jan Rutta | D | 100.00 | 66 | 42 | 85 | 54 | 79 | 80 | 75 | 53 | 30 | 50 | 45 | 74 | 50 | 78 | 67 | 46 | 64 | 30 | 1,500,000$/1yrs | 1,500,000$/1yrs | ||||
Scratches | ||||||||||||||||||||||||||
Martin Necas (R) | C/RW | 100.00 | 65 | 39 | 88 | 75 | 74 | 80 | 77 | 73 | 56 | 55 | 57 | 60 | 72 | 62 | 66 | 37 | 64 | 21 | 1,500,000$/3yrs | 1,500,000$/3yrs | ||||
TEAM AVERAGE | 100.00 | 68 | 43 | 83 | 68 | 80 | 82 | 83 | 67 | 58 | 56 | 55 | 69 | 67 | 73 | 69 | 45 | 66 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
David Rittich | 100.00 | 85 | 93 | 91 | 90 | 84 | 89 | 88 | 89 | 87 | 84 | 83 | 75 | 81 | 46 | 85 | 28 | 2,500,000$/1yrs | 2,500,000$/1yrs | |
Petr Mrazek | 100.00 | 84 | 90 | 88 | 89 | 85 | 87 | 88 | 87 | 86 | 83 | 85 | 75 | 81 | 46 | 84 | 28 | 2,200,000$/4yrs | 2,200,000$/4yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 85 | 92 | 90 | 90 | 85 | 88 | 88 | 88 | 87 | 84 | 84 | 75 | 81 | 46 | 85 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jon Cooper | 87 | 91 | 95 | 80 | 77 | 77 | 73 | CAN | 52 | 5 | 1,000,000$ |
General Manager | Martin Gajdoscik |
---|
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 | David Pastrnak | Czech Republic | 0 | RW | 8 | 4 | 7 | 11 | 1 | 2 | 0 | 14 | 44 | 20 | 30 | 9.09% | 0 | 22.79 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 15 | 0 | 0 | 0 | 0 | 1.21 | 0 | 0 |
2 | Tomas Hertl | Czech Republic | 0 | C/LW | 8 | 1 | 7 | 8 | 1 | 2 | 0 | 9 | 30 | 8 | 23 | 3.33% | 5 | 23.72 | 0 | 3 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 50.36% | 278 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 |
3 | Jakub Voracek | Czech Republic | 0 | LW/RW | 8 | 3 | 5 | 8 | 3 | 6 | 0 | 6 | 17 | 11 | 20 | 17.65% | 0 | 23.05 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 11 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 |
4 | David Krejci | Czech Republic | 0 | C | 8 | 4 | 2 | 6 | 1 | 0 | 0 | 3 | 26 | 3 | 10 | 15.38% | 0 | 17.92 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 49.14% | 175 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 |
5 | Michal Kempny | Czech Republic | 0 | D | 8 | 1 | 5 | 6 | 2 | 10 | 0 | 18 | 12 | 3 | 5 | 8.33% | 9 | 24.66 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 |
6 | Ondrej Palat | Czech Republic | 0 | LW | 8 | 3 | 2 | 5 | 0 | 4 | 0 | 18 | 27 | 4 | 15 | 11.11% | 0 | 17.91 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 0 | 1 | 31.82% | 22 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 |
7 | Dominik Kubalik | Czech Republic | 0 | LW/RW | 8 | 1 | 4 | 5 | -1 | 6 | 0 | 6 | 29 | 4 | 22 | 3.45% | 0 | 18.44 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 |
8 | Jakub Vrana | Czech Republic | 0 | LW/RW | 8 | 1 | 4 | 5 | 1 | 2 | 0 | 0 | 21 | 5 | 16 | 4.76% | 0 | 11.72 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 |
9 | Radek Faksa | Czech Republic | 0 | C | 8 | 1 | 2 | 3 | 1 | 2 | 0 | 8 | 7 | 3 | 5 | 14.29% | 2 | 12.14 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 1 | 0 | 56.39% | 133 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 |
10 | Filip Hronek | Czech Republic | 0 | D | 8 | 1 | 2 | 3 | 0 | 2 | 0 | 25 | 18 | 7 | 11 | 5.56% | 15 | 25.62 | 0 | 1 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 |
11 | Radim Simek | Czech Republic | 0 | D | 8 | 1 | 2 | 3 | 0 | 4 | 0 | 2 | 7 | 1 | 4 | 14.29% | 17 | 17.75 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 |
12 | Pavel Zacha | Czech Republic | 0 | C/LW | 8 | 2 | 0 | 2 | 1 | 2 | 0 | 7 | 11 | 1 | 10 | 18.18% | 5 | 12.11 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 76.47% | 17 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 |
13 | Radko Gudas | Czech Republic | 0 | D | 8 | 1 | 0 | 1 | -1 | 4 | 0 | 22 | 8 | 0 | 12 | 12.50% | 15 | 20.83 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 |
14 | Ondrej Kase | Czech Republic | 0 | LW/RW | 5 | 0 | 1 | 1 | -1 | 0 | 0 | 4 | 9 | 4 | 6 | 0.00% | 0 | 8.03 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 |
15 | Tomas Nosek | Czech Republic | 0 | C/LW | 8 | 0 | 0 | 0 | -4 | 4 | 0 | 6 | 4 | 3 | 5 | 0.00% | 2 | 6.89 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
16 | David Kampf | Czech Republic | 0 | C/RW | 8 | 0 | 0 | 0 | -4 | 0 | 0 | 3 | 6 | 3 | 7 | 0.00% | 2 | 6.94 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 44.26% | 61 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
17 | Jan Rutta | Czech Republic | 0 | D | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 1 | 1 | 0.00% | 9 | 11.86 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Martin Necas | Czech Republic | 0 | C/RW | 3 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 5 | 0 | 1 | 0.00% | 0 | 7.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
19 | Roman Polak | Czech Republic | 0 | D | 8 | 0 | 0 | 0 | 0 | 5 | 5 | 30 | 4 | 1 | 3 | 0.00% | 5 | 14.05 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 144 | 24 | 43 | 67 | -2 | 55 | 5 | 185 | 290 | 82 | 206 | 8.28% | 86 | 16.45 | 6 | 11 | 17 | 0 | 0 | 0 | 140 | 5 | 1 | 50.20% | 735 | 0 | 0 | 0 | 0 | 0.57 | 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 | Petr Mrazek | Czech Republic | 6 | 5 | 1 | 0 | 0.934 | 2.31 | 364 | 0 | 1 | 14 | 213 | 0 | 0 | 0 | 0.000 | 0 | 6 | 2 | 2 | 0 | 0 |
2 | David Rittich | Czech Republic | 2 | 0 | 2 | 0 | 0.868 | 4.50 | 120 | 0 | 0 | 9 | 68 | 0 | 0 | 0 | 0.000 | 0 | 2 | 6 | 0 | 0 | 0 |
Team Total or Average | 8 | 5 | 3 | 0 | 0.918 | 2.85 | 484 | 0 | 1 | 23 | 281 | 0 | 0 | 0 | 0.000 | 0 | 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 | 6 | 5 | 1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 1 | 0 | 2 | 4 | 0 | 91 | 28 | 33 | 30 | 0 | 51 | 14 | 17 | 49 | 11 | 3 | 27.27% | 5 | 0 | 100.00% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 49 | 35 | 45 | 14 | 24 | 12 | 37.5% | 6.6% | 90.2% | 96.8 | Unlucky |
2 | Sweden | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 65 | 17 | 25 | 23 | 0 | 94 | 36 | 16 | 42 | 4 | 0 | 0.00% | 7 | 4 | 42.86% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 43 | 31 | 50 | 14 | 25 | 12 | 62.5% | 7.7% | 92.6% | 100.2 | DULL |
3 | Europe | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 3 | 0 | 1 | 63 | 27 | 14 | 20 | 2 | 71 | 21 | 10 | 52 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 48 | 33 | 49 | 15 | 25 | 12 | 54.5% | 9.5% | 91.5% | 101.1 | LUCKY |
4 | North America U23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 4 | 1 | 2 | 0 | 71 | 33 | 15 | 23 | 0 | 65 | 15 | 12 | 42 | 5 | 3 | 60.00% | 5 | 0 | 100.00% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 46 | 34 | 49 | 15 | 23 | 11 | 44.4% | 9.9% | 92.3% | 102.2 | LUCKY |
_Vs Division | 8 | 4 | 3 | 0 | 1 | 0 | 0 | 0 | 24 | 23 | 1 | 10 | 0.625 | 24 | 43 | 67 | 0 | 1 | 7 | 9 | 7 | 1 | 290 | 105 | 87 | 96 | 2 | 281 | 86 | 55 | 185 | 25 | 6 | 24.00% | 21 | 5 | 76.19% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 189 | 135 | 196 | 60 | 98 | 47 | 50.0% | 8.3% | 91.8% | 100.1 | DULL | |
_Vs Conference | 8 | 4 | 3 | 0 | 1 | 0 | 0 | 0 | 24 | 23 | 1 | 10 | 0.625 | 24 | 43 | 67 | 0 | 1 | 7 | 9 | 7 | 1 | 290 | 105 | 87 | 96 | 2 | 281 | 86 | 55 | 185 | 25 | 6 | 24.00% | 21 | 5 | 76.19% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 189 | 135 | 196 | 60 | 98 | 47 | 50.0% | 8.3% | 91.8% | 100.1 | DULL | |
_Since Last GM Reset | 8 | 4 | 3 | 0 | 1 | 0 | 0 | 0 | 24 | 23 | 1 | 10 | 0.625 | 24 | 43 | 67 | 0 | 1 | 7 | 9 | 7 | 1 | 290 | 105 | 87 | 96 | 2 | 281 | 86 | 55 | 185 | 25 | 6 | 24.00% | 21 | 5 | 76.19% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 189 | 135 | 196 | 60 | 98 | 47 | 50.0% | 8.3% | 91.8% | 100.1 | DULL | |
Total | 8 | 4 | 3 | 0 | 1 | 0 | 0 | 0 | 24 | 23 | 1 | 10 | 0.625 | 24 | 43 | 67 | 0 | 1 | 7 | 9 | 7 | 1 | 290 | 105 | 87 | 96 | 2 | 281 | 86 | 55 | 185 | 25 | 6 | 24.00% | 21 | 5 | 76.19% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 189 | 135 | 196 | 60 | 98 | 47 | 50.0% | 8.3% | 91.8% | 100.1 | DULL |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 288 |
Neutral Zone Start | 131 |
Defensive Zone Start | 308 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 369 |
Faceoffs Lost | 358 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.1 | 9.57 |
2nd Period | 24.0 | 20.31 |
3rd Period | 36.0 | 30.68 |
Overtime | 36.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 18 |
---|---|
PP Goal | 6 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 4 |
Lost | 3 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 25 |
---|---|
PP Goal | 6 |
PK Attempt | 21 |
PK Goal Against | 5 |
Home | |
---|---|
Shots For | 36.3 |
Shots Against | 35.1 |
Goals For | 3.0 |
Goals Against | 2.9 |
Hits | 23.1 |
Shots Blocked | 10.8 |
Pim | 6.9 |
Total Cap Hit | 59,400,000$ |
Cap Space | 20,100,000$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 79,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Czech Republic Roster | Pos | Age | Cap Hit | 1--1998 | 2--1997 | 3--1996 | 4--1995 | 5--1994 | 6--1993 | 7--1992 | 8--1991 |
---|---|---|---|---|---|---|---|---|---|---|---|
David Kampf | C/RW | 25 | 0$ | RFA | |||||||
David Krejci | C | 34 | 5,400,000$ | 5,400,000$ | UFA | ||||||
David Pastrnak | RW | 24 | 7,000,000$ | 7,000,000$ | 7,000,000$ | RFA | |||||
David Rittich | G | 28 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Dominik Kubalik | LW/RW | 25 | 1,700,000$ | 1,700,000$ | RFA | ||||||
Filip Hronek | D | 22 | 2,100,000$ | 2,100,000$ | 2,100,000$ | RFA | |||||
Jakub Voracek | LW/RW | 31 | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | UFA | |||
Jakub Vrana | LW/RW | 24 | 4,600,000$ | 4,600,000$ | 4,600,000$ | RFA | |||||
Jan Rutta | D | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Martin Necas | C/RW | 21 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | ||||
Michal Kempny | D | 30 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Ondrej Kase | LW/RW | 24 | 0$ | RFA | |||||||
Ondrej Palat | LW | 29 | 4,600,000$ | 4,600,000$ | UFA | ||||||
Pavel Zacha | C/LW | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | RFA | |||||
Petr Mrazek | G | 28 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | |||
Radek Faksa | C | 26 | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | UFA | |||
Radim Simek | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Radko Gudas | D | 30 | 2,300,000$ | 2,300,000$ | 2,300,000$ | UFA | |||||
Roman Polak | D | 34 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Tomas Hertl | C/LW | 26 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | |||
Tomas Nosek | C/LW | 28 | 1,100,000$ | 1,100,000$ | 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 | Canada A | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 1 | 0 | 2 | 4 | 0 | 91 | 28 | 33 | 30 | 0 | 51 | 14 | 17 | 49 | 11 | 3 | 27.27% | 5 | 0 | 100.00% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 49 | 35 | 45 | 14 | 24 | 12 | 37.5% | 6.6% | 90.2% | 96.8 | Unlucky |
2 | Sweden | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 65 | 17 | 25 | 23 | 0 | 94 | 36 | 16 | 42 | 4 | 0 | 0.00% | 7 | 4 | 42.86% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 43 | 31 | 50 | 14 | 25 | 12 | 62.5% | 7.7% | 92.6% | 100.2 | DULL |
3 | Europe | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 3 | 0 | 1 | 63 | 27 | 14 | 20 | 2 | 71 | 21 | 10 | 52 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 48 | 33 | 49 | 15 | 25 | 12 | 54.5% | 9.5% | 91.5% | 101.1 | LUCKY |
4 | North America U23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 4 | 1 | 2 | 0 | 71 | 33 | 15 | 23 | 0 | 65 | 15 | 12 | 42 | 5 | 3 | 60.00% | 5 | 0 | 100.00% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 46 | 34 | 49 | 15 | 23 | 11 | 44.4% | 9.9% | 92.3% | 102.2 | LUCKY |
_Vs Division | 8 | 4 | 3 | 0 | 1 | 0 | 0 | 0 | 24 | 23 | 1 | 10 | 0.625 | 24 | 43 | 67 | 0 | 1 | 7 | 9 | 7 | 1 | 290 | 105 | 87 | 96 | 2 | 281 | 86 | 55 | 185 | 25 | 6 | 24.00% | 21 | 5 | 76.19% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 189 | 135 | 196 | 60 | 98 | 47 | 50.0% | 8.3% | 91.8% | 100.1 | DULL | |
_Vs Conference | 8 | 4 | 3 | 0 | 1 | 0 | 0 | 0 | 24 | 23 | 1 | 10 | 0.625 | 24 | 43 | 67 | 0 | 1 | 7 | 9 | 7 | 1 | 290 | 105 | 87 | 96 | 2 | 281 | 86 | 55 | 185 | 25 | 6 | 24.00% | 21 | 5 | 76.19% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 189 | 135 | 196 | 60 | 98 | 47 | 50.0% | 8.3% | 91.8% | 100.1 | DULL | |
_Since Last GM Reset | 8 | 4 | 3 | 0 | 1 | 0 | 0 | 0 | 24 | 23 | 1 | 10 | 0.625 | 24 | 43 | 67 | 0 | 1 | 7 | 9 | 7 | 1 | 290 | 105 | 87 | 96 | 2 | 281 | 86 | 55 | 185 | 25 | 6 | 24.00% | 21 | 5 | 76.19% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 189 | 135 | 196 | 60 | 98 | 47 | 50.0% | 8.3% | 91.8% | 100.1 | DULL | |
Total | 8 | 4 | 3 | 0 | 1 | 0 | 0 | 0 | 24 | 23 | 1 | 10 | 0.625 | 24 | 43 | 67 | 0 | 1 | 7 | 9 | 7 | 1 | 290 | 105 | 87 | 96 | 2 | 281 | 86 | 55 | 185 | 25 | 6 | 24.00% | 21 | 5 | 76.19% | 0 | 148 | 288 | 51.39% | 157 | 308 | 50.97% | 64 | 131 | 48.85% | 189 | 135 | 196 | 60 | 98 | 47 | 50.0% | 8.3% | 91.8% | 100.1 | DULL |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 288 |
Neutral Zone Start | 131 |
Defensive Zone Start | 308 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 369 |
Faceoffs Lost | 358 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.1 | 9.57 |
2nd Period | 24.0 | 20.31 |
3rd Period | 36.0 | 30.68 |
Overtime | 36.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 18 |
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PP Goal | 6 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 4 |
Lost | 3 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 25 |
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PP Goal | 6 |
PK Attempt | 21 |
PK Goal Against | 5 |
Home | |
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Shots For | 36.3 |
Shots Against | 35.1 |
Goals For | 3.0 |
Goals Against | 2.9 |
Hits | 23.1 |
Shots Blocked | 10.8 |
Pim | 6.9 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Fri, Sep 4 | CAN | @ | CZE | CAN5,CZE3 | RECAP |
Sat, Sep 5 | CZE | @ | SWE | CZE4,SWE2 | RECAP |
Mon, Sep 7 | CZE | @ | U23 | CZE4,U233 | RECAP |
Tue, Sep 8 | EUR | @ | CZE | EUR4,CZE3 | RECAP |
Fri, Sep 11 | CZE | @ | CAN | CZE3,CAN0 | RECAP |
Sat, Sep 12 | SWE | @ | CZE | SWE5,CZE1 | RECAP |
Mon, Sep 14 | U23 | @ | CZE | U232,CZE3 | RECAP |
Tue, Sep 15 | CZE | @ | EUR | CZE3,EUR2 (OT) | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
59,400,000$ | 0$ | 0$ | 79,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | |||
City | Czech Republic | ||
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 |
59,400,000$ | 59,400,000$ | 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 | 4,646,154$ | 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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