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 |
# | Nom du Joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Alex Dostie (R) | X | 100.00 | 71 | 60 | 96 | 63 | 60 | 59 | 60 | 57 | 71 | 45 | 63 | 64 | 60 | 55 | 55 | 62 | 50 | 0 | 0 | ||||
2 | Justin Dowling | X | X | X | 100.00 | 73 | 43 | 90 | 70 | 66 | 57 | 70 | 68 | 52 | 60 | 59 | 69 | 25 | 51 | 52 | 64 | 50 | 0 | 0 | ||
3 | Warren Foegele | X | X | 100.00 | 73 | 43 | 85 | 67 | 72 | 65 | 90 | 59 | 41 | 70 | 71 | 71 | 25 | 59 | 60 | 71 | 47 | 0 | 0 | |||
4 | Adam Erne | X | X | 100.00 | 90 | 46 | 85 | 72 | 77 | 61 | 78 | 65 | 57 | 55 | 56 | 66 | 75 | 60 | 61 | 64 | 50 | 0 | 0 | |||
5 | Tom Kuhnhackl | X | X | 100.00 | 76 | 44 | 97 | 77 | 73 | 59 | 56 | 58 | 25 | 60 | 60 | 74 | 25 | 60 | 63 | 65 | 50 | 0 | 0 | |||
6 | Tomas Nosek | X | X | 100.00 | 79 | 45 | 90 | 69 | 79 | 59 | 85 | 59 | 74 | 60 | 62 | 72 | 25 | 60 | 62 | 67 | 50 | 0 | 0 | |||
7 | Victor Rask (C) | X | X | X | 100.00 | 67 | 43 | 95 | 72 | 75 | 56 | 64 | 62 | 66 | 65 | 62 | 58 | 36 | 67 | 67 | 64 | 50 | 0 | 0 | ||
8 | Dominik Simon (A) | X | X | 100.00 | 73 | 43 | 93 | 77 | 69 | 67 | 85 | 62 | 37 | 68 | 60 | 56 | 25 | 63 | 64 | 65 | 50 | 0 | 0 | |||
9 | Matthew Strome (R) | X | 100.00 | 82 | 78 | 92 | 55 | 78 | 61 | 64 | 49 | 50 | 45 | 48 | 64 | 46 | 44 | 44 | 56 | 50 | 0 | 0 | ||||
10 | Remi Elie | X | 100.00 | 81 | 77 | 90 | 60 | 77 | 57 | 58 | 56 | 50 | 47 | 60 | 66 | 57 | 47 | 47 | 61 | 50 | 0 | 0 | ||||
11 | Alex Petrovic (R) | X | 100.00 | 83 | 81 | 86 | 62 | 81 | 60 | 63 | 51 | 25 | 47 | 40 | 65 | 38 | 44 | 44 | 54 | 50 | 0 | 0 | ||||
12 | Connor Hobbs | X | 100.00 | 72 | 69 | 80 | 59 | 69 | 55 | 58 | 45 | 25 | 32 | 41 | 61 | 39 | 53 | 53 | 50 | 50 | 0 | 0 | ||||
13 | Christian Folin (A) | X | 100.00 | 89 | 88 | 77 | 75 | 78 | 64 | 58 | 58 | 25 | 45 | 48 | 69 | 25 | 64 | 65 | 59 | 47 | 0 | 0 | ||||
14 | Joseph Cecconi (R) | X | 100.00 | 81 | 76 | 91 | 61 | 76 | 52 | 54 | 44 | 25 | 34 | 39 | 63 | 37 | 44 | 44 | 51 | 50 | 0 | 0 | ||||
Rayé | ||||||||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 78 | 60 | 89 | 67 | 74 | 59 | 67 | 57 | 45 | 52 | 55 | 66 | 38 | 55 | 56 | 61 | 50 | 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 |
# | Nom du Gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Michael Hutchinson | 100.00 | 53 | 61 | 61 | 81 | 57 | 48 | 50 | 55 | 58 | 53 | 78 | 59 | 59 | 55 | 50 | 0 | 0 | |
2 | Joey Daccord (R) | 100.00 | 60 | 60 | 75 | 77 | 62 | 64 | 55 | 64 | 61 | 60 | 30 | 44 | 44 | 60 | 50 | 0 | 0 | |
Rayé | ||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 57 | 61 | 68 | 79 | 60 | 56 | 53 | 60 | 60 | 57 | 54 | 52 | 52 | 58 | 50 | 0 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Derek Lalonde | 83 | 80 | 79 | 85 | 73 | 58 | 84 | USA | 46 | 3 | 1,250,000$ |
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 |
# | Nom du Joueur | Nom de l'Équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Tom Kuhnhackl | Stars (DAL) | LW/RW | 8 | 0 | 6 | 6 | 3 | 0 | 0 | 5 | 11 | 7 | 7 | 16 | 0.00% | 2 | 159 | 19.94 | 0 | 2 | 2 | 1 | 27 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 16.67% | 6 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
2 | Warren Foegele | Stars (DAL) | LW/RW | 8 | 3 | 2 | 5 | -3 | 4 | 0 | 8 | 13 | 18 | 2 | 15 | 16.67% | 1 | 180 | 22.55 | 2 | 0 | 2 | 6 | 32 | 0 | 0 | 0 | 0 | 28 | 0 | 1 | 48.00% | 75 | 0 | 0 | 0 | 0 | 0.55 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
3 | Adam Erne | Stars (DAL) | LW/RW | 8 | 5 | 0 | 5 | 3 | 12 | 0 | 25 | 12 | 16 | 4 | 6 | 31.25% | 1 | 136 | 17.03 | 1 | 0 | 1 | 4 | 29 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
4 | Victor Rask | Stars (DAL) | C/LW/RW | 8 | 1 | 4 | 5 | 0 | 0 | 0 | 3 | 18 | 11 | 6 | 6 | 9.09% | 2 | 155 | 19.39 | 1 | 1 | 2 | 2 | 28 | 0 | 0 | 0 | 1 | 20 | 0 | 0 | 58.99% | 139 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
5 | Christian Folin | Stars (DAL) | D | 8 | 0 | 3 | 3 | 1 | 14 | 0 | 26 | 6 | 8 | 1 | 7 | 0.00% | 8 | 171 | 21.40 | 0 | 1 | 1 | 5 | 30 | 0 | 0 | 0 | 1 | 26 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6 | Tomas Nosek | Stars (DAL) | C/LW | 8 | 1 | 2 | 3 | -2 | 2 | 0 | 15 | 22 | 14 | 4 | 10 | 7.14% | 0 | 162 | 20.26 | 0 | 2 | 2 | 5 | 32 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 67.27% | 165 | 0 | 0 | 0 | 0 | 0.37 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Alex Petrovic | Stars (DAL) | D | 8 | 0 | 2 | 2 | 2 | 4 | 0 | 7 | 6 | 1 | 0 | 5 | 0.00% | 2 | 167 | 20.91 | 0 | 1 | 1 | 1 | 30 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8 | Dominik Simon | Stars (DAL) | LW/RW | 8 | 1 | 1 | 2 | -2 | 2 | 0 | 6 | 14 | 11 | 4 | 4 | 9.09% | 2 | 174 | 21.82 | 0 | 1 | 1 | 1 | 34 | 0 | 0 | 0 | 1 | 31 | 0 | 0 | 30.77% | 13 | 0 | 0 | 0 | 0 | 0.23 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Matthew Strome | Stars (DAL) | LW | 8 | 0 | 2 | 2 | -4 | 15 | 5 | 20 | 4 | 1 | 3 | 1 | 0.00% | 8 | 132 | 16.53 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
10 | Alex Dostie | Stars (DAL) | C | 8 | 0 | 1 | 1 | -6 | 9 | 5 | 6 | 11 | 14 | 2 | 7 | 0.00% | 2 | 128 | 16.05 | 0 | 0 | 0 | 1 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 72.00% | 25 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
11 | Connor Hobbs | Stars (DAL) | D | 8 | 0 | 0 | 0 | -2 | 10 | 0 | 7 | 1 | 0 | 2 | 2 | 0.00% | 3 | 152 | 19.08 | 0 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Justin Dowling | Stars (DAL) | C/LW/RW | 8 | 0 | 0 | 0 | -5 | 4 | 0 | 9 | 15 | 16 | 5 | 6 | 0.00% | 1 | 139 | 17.41 | 0 | 0 | 0 | 4 | 14 | 0 | 0 | 0 | 2 | 16 | 0 | 0 | 47.19% | 89 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Remi Elie | Stars (DAL) | LW | 8 | 0 | 0 | 0 | -7 | 13 | 5 | 11 | 8 | 12 | 2 | 1 | 0.00% | 2 | 131 | 16.41 | 0 | 0 | 0 | 1 | 13 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 62.50% | 8 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
14 | Joseph Cecconi | Stars (DAL) | D | 8 | 0 | 0 | 0 | -2 | 10 | 0 | 6 | 3 | 1 | 0 | 3 | 0.00% | 3 | 151 | 18.93 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 112 | 11 | 23 | 34 | -24 | 99 | 15 | 154 | 144 | 130 | 42 | 89 | 8.46% | 37 | 2141 | 19.12 | 4 | 8 | 12 | 31 | 349 | 0 | 0 | 0 | 5 | 260 | 1 | 2 | 57.01% | 528 | 0 | 0 | 0 | 0 | 0.32 | 0 | 3 | 2 | 1 | 0 | 2 | 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 |
# | Nom du Gardien | Nom de l'Équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Michael Hutchinson | Stars (DAL) | 8 | 2 | 5 | 1 | 0.909 | 2.05 | 469 | 0 | 1 | 16 | 176 | 0 | 0 | 0 | 0.667 | 3 | 8 | 0 | 1 | 1 | 1 |
2 | Joey Daccord | Stars (DAL) | 1 | 0 | 0 | 0 | 0.800 | 4.62 | 13 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 0.000 | 0 | 0 | 8 | 0 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 9 | 2 | 5 | 1 | 0.906 | 2.12 | 482 | 0 | 1 | 17 | 181 | 0 | 0 | 0 | 0.667 | 3 | 8 | 8 | 1 | 1 | 1 |
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 |
Nom du Joueur | Nom de l'Équipe | POS | Âge | Date de Naissance | Nouveau Joueur | Poids | Taille | Non-Échange | Disponible pour Échange | Ballotage Forcé | Contrat | Type | Salaire Actuel | Salaire Restant | Salaire Moyen | Salaire Moyen Restant | Cap Salariale | Cap Salariale Restant | Exclus du Cap Salarial | Salaire Année 2 | Salaire Année 3 | Salaire Année 4 | Salaire Année 5 | Salaire Année 6 | Salaire Année 7 | Salaire Année 8 | Salaire Année 9 | Salaire Année 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Erne | Stars (DAL) | LW/RW | 25 | 1995-04-20 | No | 214 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 894,167$ | 800,424$ | 894,167$ | 800,424$ | 0$ | 0$ | No | Lien | |||||||||
Alex Dostie | Stars (DAL) | C | 23 | 1997-04-13 | Yes | 165 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 925,000$ | 828,024$ | 925,000$ | 828,024$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Alex Petrovic | Stars (DAL) | D | 28 | 1992-03-03 | Yes | 216 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 1,050,000$ | 939,919$ | 1,050,000$ | 939,919$ | 0$ | 0$ | No | Lien | |||||||||
Christian Folin | Stars (DAL) | D | 29 | 1991-02-09 | No | 204 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 1,700,000$ | 1,521,774$ | 1,700,000$ | 1,521,774$ | 0$ | 0$ | No | 1,700,000$ | Lien | ||||||||
Connor Hobbs | Stars (DAL) | D | 23 | 1997-01-04 | No | 187 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 720,000$ | 644,516$ | 720,000$ | 644,516$ | 0$ | 0$ | No | Lien | |||||||||
Dominik Simon | Stars (DAL) | LW/RW | 25 | 1994-08-08 | No | 190 Lbs | 5 ft11 | No | No | No | 4 | Pro & Farm | 750,000$ | 671,371$ | 750,000$ | 671,371$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | Lien | ||||||
Joey Daccord | Stars (DAL) | G | 23 | 1996-08-19 | Yes | 196 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 895,161$ | 1,000,000$ | 895,161$ | 0$ | 0$ | No | Lien | |||||||||
Joseph Cecconi | Stars (DAL) | D | 23 | 1997-05-23 | Yes | 209 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 1,293,750$ | 1,158,115$ | 1,293,750$ | 1,158,115$ | 0$ | 0$ | No | 1,293,750$ | 1,293,750$ | ||||||||
Justin Dowling | Stars (DAL) | C/LW/RW | 29 | 1990-10-01 | No | 185 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 650,000$ | 581,855$ | 650,000$ | 581,855$ | 0$ | 0$ | No | Lien | |||||||||
Matthew Strome | Stars (DAL) | LW | 21 | 1999-01-05 | Yes | 206 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 879,167$ | 786,996$ | 879,167$ | 786,996$ | 0$ | 0$ | No | 879,167$ | 879,167$ | ||||||||
Michael Hutchinson | Stars (DAL) | G | 30 | 1990-03-01 | No | 202 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 895,161$ | 1,000,000$ | 895,161$ | 0$ | 0$ | No | Lien | |||||||||
Remi Elie | Stars (DAL) | LW | 25 | 1995-04-15 | No | 210 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 450,000$ | 402,823$ | 450,000$ | 402,823$ | 0$ | 0$ | No | 450,000$ | 450,000$ | Lien | |||||||
Tom Kuhnhackl | Stars (DAL) | LW/RW | 28 | 1992-01-21 | No | 196 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 700,000$ | 626,613$ | 700,000$ | 626,613$ | 0$ | 0$ | No | 700,000$ | Lien | ||||||||
Tomas Nosek | Stars (DAL) | C/LW | 27 | 1992-08-31 | No | 210 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 962,500$ | 861,593$ | 962,500$ | 861,593$ | 0$ | 0$ | No | 962,500$ | Lien | ||||||||
Victor Rask | Stars (DAL) | C/LW/RW | 27 | 1993-03-01 | No | 200 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 895,161$ | 1,000,000$ | 895,161$ | 0$ | 0$ | No | Lien | |||||||||
Warren Foegele | Stars (DAL) | LW/RW | 24 | 1996-04-01 | No | 190 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 746,667$ | 668,387$ | 746,667$ | 668,387$ | 0$ | 0$ | No | Lien |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
16 | 25.63 | 199 Lbs | 6 ft2 | 1.88 | 920,078$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Warren Foegele | Tomas Nosek | Dominik Simon | 35 | 1 | 2 | 2 |
2 | Tom Kuhnhackl | Victor Rask | Adam Erne | 30 | 1 | 2 | 2 |
3 | Remi Elie | Justin Dowling | Alex Dostie | 25 | 1 | 2 | 2 |
4 | Matthew Strome | Alex Dostie | Warren Foegele | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Christian Folin | Alex Petrovic | 35 | 1 | 2 | 2 | |
2 | Joseph Cecconi | Connor Hobbs | 30 | 1 | 2 | 2 | |
3 | Matthew Strome | 25 | 1 | 2 | 2 | ||
4 | Christian Folin | Alex Petrovic | 10 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Warren Foegele | Tomas Nosek | Dominik Simon | 60 | 1 | 2 | 2 |
2 | Tom Kuhnhackl | Victor Rask | Adam Erne | 40 | 1 | 2 | 2 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Christian Folin | Alex Petrovic | 60 | 1 | 2 | 2 | |
2 | Joseph Cecconi | Connor Hobbs | 40 | 1 | 2 | 2 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Warren Foegele | Dominik Simon | 60 | 1 | 2 | 2 |
2 | Tomas Nosek | Tom Kuhnhackl | 40 | 1 | 2 | 2 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Christian Folin | Alex Petrovic | 60 | 1 | 2 | 2 |
2 | Joseph Cecconi | Connor Hobbs | 40 | 1 | 2 | 2 |
3 joueurs en Désavantage Numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
1 | Warren Foegele | 60 | 1 | 2 | 2 | Christian Folin | Alex Petrovic | 60 | 1 | 2 | 2 |
2 | Dominik Simon | 40 | 1 | 2 | 2 | Joseph Cecconi | Connor Hobbs | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Warren Foegele | Dominik Simon | 60 | 1 | 2 | 2 |
2 | Tomas Nosek | Tom Kuhnhackl | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Christian Folin | Alex Petrovic | 60 | 1 | 2 | 2 |
2 | Joseph Cecconi | Connor Hobbs | 40 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Warren Foegele | Tomas Nosek | Dominik Simon | Christian Folin | Alex Petrovic |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Warren Foegele | Tomas Nosek | Dominik Simon | Christian Folin | Alex Petrovic |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Justin Dowling, Remi Elie, Victor Rask | Justin Dowling, Remi Elie | Victor Rask |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Joseph Cecconi, Connor Hobbs, Christian Folin | Joseph Cecconi | Connor Hobbs, Christian Folin |
Tirs de Pénalité |
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Warren Foegele, Dominik Simon, Tomas Nosek, Tom Kuhnhackl, Victor Rask |
Gardien |
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#1 : Michael Hutchinson, #2 : Joey Daccord |
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 |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
Total | 8 | 2 | 5 | 0 | 0 | 0 | 0 | 1 | 12 | 18 | -6 | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 5 | 0.313 | 12 | 23 | 35 | 0 | 1 | 4 | 3 | 5 | 0 | 136 | 49 | 45 | 42 | 3 | 181 | 39 | 101 | 160 | 42 | 4 | 9.52% | 37 | 4 | 89.19% | 0 | 115 | 192 | 59.90% | 133 | 235 | 56.60% | 55 | 105 | 52.38% | 184 | 124 | 198 | 62 | 102 | 49 | |
_Since Last GM Reset | 8 | 2 | 5 | 0 | 0 | 0 | 0 | 1 | 12 | 18 | -6 | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 5 | 0.313 | 12 | 23 | 35 | 0 | 1 | 4 | 3 | 5 | 0 | 136 | 49 | 45 | 42 | 3 | 181 | 39 | 101 | 160 | 42 | 4 | 9.52% | 37 | 4 | 89.19% | 0 | 115 | 192 | 59.90% | 133 | 235 | 56.60% | 55 | 105 | 52.38% | 184 | 124 | 198 | 62 | 102 | 49 | |
_Vs Conference | 7 | 2 | 4 | 0 | 0 | 0 | 0 | 1 | 12 | 17 | -5 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 5 | 0.357 | 12 | 23 | 35 | 0 | 1 | 4 | 3 | 5 | 0 | 118 | 49 | 45 | 42 | 3 | 156 | 32 | 95 | 140 | 37 | 4 | 10.81% | 34 | 4 | 88.24% | 0 | 115 | 192 | 59.90% | 133 | 235 | 56.60% | 55 | 105 | 52.38% | 184 | 124 | 198 | 62 | 102 | 49 | |
_Vs Division | 7 | 2 | 4 | 0 | 0 | 0 | 0 | 1 | 12 | 17 | -5 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 5 | 0.357 | 12 | 23 | 35 | 0 | 1 | 4 | 3 | 5 | 0 | 118 | 49 | 45 | 42 | 3 | 156 | 32 | 95 | 140 | 37 | 4 | 10.81% | 34 | 4 | 88.24% | 0 | 115 | 192 | 59.90% | 133 | 235 | 56.60% | 55 | 105 | 52.38% | 184 | 124 | 198 | 62 | 102 | 49 |
Total Pour les Joueurs | ||||||||||||
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Matchs Joués | Points | Séquence | Buts | Passes | Points | Tirs Pour | Tirs Contre | Tirs Bloqués | Minutes de Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
8 | 5 | L1 | 12 | 23 | 35 | 136 | 181 | 39 | 101 | 160 | 0 | 1 |
Tous les Matchs | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
8 | 2 | 5 | 0 | 0 | 0 | 1 | 12 | 18 |
Matchs locaux | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 1 | 3 | 0 | 0 | 0 | 1 | 4 | 7 |
Matchs Éxtérieurs | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 1 | 2 | 0 | 0 | 0 | 0 | 8 | 11 |
Derniers 10 Matchs | |||||
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W | L | OTW | OTL | SOW | SOL |
2 | 5 | 0 | 0 | 0 | 1 |
Tentatives en Avantage Numérique | Buts en Avantage Numérique | % en Avantage Numérique | Tentatives en Désavantage Numérique | Buts Contre en Désavantage Numérique | % en Désavantage Numérique | Buts Pour en Désavantage Numérique |
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42 | 4 | 9.52% | 37 | 4 | 89.19% | 0 |
Tirs en 1e Période | Tirs en 2e Période | Tirs en 3e Période | Tirs en 4e Période | Buts en 1e Période | Buts en 2e Période | Buts en 3e Période | Buts en 4e Période |
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49 | 45 | 42 | 3 | 4 | 3 | 5 | 0 |
Mises en Jeu | ||||||||
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Gagnées en Zone Offensive | Total en Zone Offensive | % Gagnées en Zone Offensive | Gagnées en Zone Défensive | Total en Zone Défensive | % Gagnées en Zone Défensive | Gagnées en Zone Neutre | Total en Zone Neutre | % Gagnées en Zone Neutre |
115 | 192 | 59.90% | 133 | 235 | 56.60% | 55 | 105 | 52.38% |
Temps Avec la Rondelle | |||||
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En Zone Offensive | Contrôle en Zone Offensive | En Zone Défensive | Contrôle en Zone Défensive | En Zone Neutre | Contrôle en Zone Neutre |
184 | 124 | 198 | 62 | 102 | 49 |
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 |
Jour | Match | Équipe Visiteuse | Score | Équipe Locale | Score | ST | OT | SO | RI | Lien |
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1 - 2020-09-27 | 3 | Soldiers | 1 | Stars | 0 | L | Sommaire du Match | |||
2 - 2020-09-28 | 15 | Stars | 2 | Soldiers | 5 | L | Sommaire du Match | |||
4 - 2020-09-30 | 26 | Stars | 2 | Soldiers | 3 | L | Sommaire du Match | |||
5 - 2020-10-01 | 39 | Soldiers | 3 | Stars | 1 | L | Sommaire du Match | |||
6 - 2020-10-02 | 49 | Rampage | 0 | Stars | 2 | W | Sommaire du Match | |||
9 - 2020-10-05 | 66 | Soldiers | 2 | Stars | 1 | L | X | X | Sommaire du Match | |
10 - 2020-10-06 | 70 | Stars | 4 | Soldiers | 3 | W | Sommaire du Match | |||
12 - 2020-10-08 | 86 | Penguins | 1 | Stars | 0 | L | Sommaire du Match | |||
14 - 2020-10-10 | 93 | Stars | - | Wolves | - | |||||
16 - 2020-10-12 | 102 | Stars | - | Soldiers | - | |||||
18 - 2020-10-14 | 111 | Stars | - | Rampage | - | |||||
20 - 2020-10-16 | 128 | Admirals | - | Stars | - | |||||
22 - 2020-10-18 | 143 | Wolves | - | Stars | - | |||||
23 - 2020-10-19 | 154 | Stars | - | Wolves | - | |||||
24 - 2020-10-20 | 159 | Stars | - | Monsters | - | |||||
25 - 2020-10-21 | 171 | Moose | - | Stars | - | |||||
27 - 2020-10-23 | 180 | Stars | - | IceHogs | - | |||||
28 - 2020-10-24 | 189 | Sharks | - | Stars | - | |||||
30 - 2020-10-26 | 204 | Condors | - | Stars | - | |||||
32 - 2020-10-28 | 211 | Stars | - | Rampage | - | |||||
34 - 2020-10-30 | 226 | Stars | - | Soldiers | - | |||||
36 - 2020-11-01 | 231 | Senators | - | Stars | - | |||||
38 - 2020-11-03 | 243 | Stars | - | Moose | - | |||||
40 - 2020-11-05 | 256 | Wolves | - | Stars | - | |||||
42 - 2020-11-07 | 266 | Stars | - | IceHogs | - | |||||
44 - 2020-11-09 | 276 | Stars | - | Moose | - | |||||
45 - 2020-11-10 | 284 | Wolves | - | Stars | - | |||||
46 - 2020-11-11 | 298 | Rampage | - | Stars | - | |||||
48 - 2020-11-13 | 314 | Rampage | - | Stars | - | |||||
49 - 2020-11-14 | 319 | Stars | - | Wolves | - | |||||
50 - 2020-11-15 | 326 | Stars | - | Flames | - | |||||
51 - 2020-11-16 | 340 | Soldiers | - | Stars | - | |||||
52 - 2020-11-17 | 346 | Stars | - | Monarchs | - | |||||
54 - 2020-11-19 | 364 | Stars | - | IceHogs | - | |||||
55 - 2020-11-20 | 369 | Soldiers | - | Stars | - | |||||
56 - 2020-11-21 | 380 | Stars | - | Soldiers | - | |||||
57 - 2020-11-22 | 392 | Rampage | - | Stars | - | |||||
59 - 2020-11-24 | 409 | Monsters | - | Stars | - | |||||
60 - 2020-11-25 | 421 | Stars | - | Wolf Pack | - | |||||
61 - 2020-11-26 | 430 | Monarchs | - | Stars | - | |||||
64 - 2020-11-29 | 443 | Stars | - | Rampage | - | |||||
65 - 2020-11-30 | 454 | IceHogs | - | Stars | - | |||||
66 - 2020-12-01 | 463 | Stars | - | Wolves | - | |||||
67 - 2020-12-02 | 473 | Monsters | - | Stars | - | |||||
68 - 2020-12-03 | 485 | Stars | - | Monsters | - | |||||
70 - 2020-12-05 | 493 | Stars | - | Griffins | - | |||||
71 - 2020-12-06 | 503 | IceHogs | - | Stars | - | |||||
72 - 2020-12-07 | 514 | Stars | - | Marlies | - | |||||
74 - 2020-12-09 | 525 | Admirals | - | Stars | - | |||||
75 - 2020-12-10 | 539 | Stars | - | Penguins | - | |||||
77 - 2020-12-12 | 545 | Griffins | - | Stars | - | |||||
79 - 2020-12-14 | 561 | Wolves | - | Stars | - | |||||
80 - 2020-12-15 | 573 | Stars | - | Sound Tigers | - | |||||
81 - 2020-12-16 | 581 | Stars | - | Rocket | - | |||||
83 - 2020-12-18 | 595 | Sound Tigers | - | Stars | - | |||||
85 - 2020-12-20 | 605 | Stars | - | Monarchs | - | |||||
86 - 2020-12-21 | 614 | Phantoms | - | Stars | - | |||||
87 - 2020-12-22 | 628 | Sharks | - | Stars | - | |||||
89 - 2020-12-24 | 640 | Stars | - | Bruins | - | |||||
91 - 2020-12-26 | 650 | Stars | - | Rampage | - | |||||
92 - 2020-12-27 | 660 | Bruins | - | Stars | - | |||||
94 - 2020-12-29 | 672 | Wolf Pack | - | Stars | - | |||||
95 - 2020-12-30 | 686 | Crunch | - | Stars | - | |||||
96 - 2020-12-31 | 693 | Stars | - | IceHogs | - | |||||
97 - 2021-01-01 | 706 | Stars | - | Soldiers | - | |||||
98 - 2021-01-02 | 716 | Moose | - | Stars | - | |||||
99 - 2021-01-03 | 722 | Stars | - | Senators | - | |||||
101 - 2021-01-05 | 738 | Condors | - | Stars | - | |||||
103 - 2021-01-07 | 752 | Marlies | - | Stars | - | |||||
104 - 2021-01-08 | 766 | Stars | - | Flames | - | |||||
105 - 2021-01-09 | 774 | Flames | - | Stars | - | |||||
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
106 - 2021-01-10 | 783 | Stars | - | Sharks | - | |||||
108 - 2021-01-12 | 796 | Stars | - | Phantoms | - | |||||
109 - 2021-01-13 | 806 | Stars | - | Condors | - | |||||
110 - 2021-01-14 | 811 | Soldiers | - | Stars | - | |||||
112 - 2021-01-16 | 828 | Stars | - | Crunch | - | |||||
113 - 2021-01-17 | 834 | Rocket | - | Stars | - | |||||
115 - 2021-01-19 | 846 | Stars | - | Moose | - | |||||
116 - 2021-01-20 | 853 | Stars | - | Admirals | - | |||||
117 - 2021-01-21 | 859 | IceHogs | - | Stars | - | |||||
119 - 2021-01-23 | 878 | Senators | - | Stars | - | |||||
122 - 2021-01-26 | 895 | IceHogs | - | Stars | - |
Capacité de l'Aréna - Tendance du Prix des Billets - % | ||
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Niveau 1 | Niveau 2 | |
Capacité de l'Aréna | 2000 | 1000 |
Prix des Billets | 35 | 15 |
Assistance | 0 | 0 |
Assistance PCT | 0.00% | 0.00% |
Revenus | |||||
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Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité de l'Aréna | Popularité de l'Équipe |
36 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
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Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
285,389$ | 1,472,126$ | 1,472,126$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
0$ | 154,336$ | 0 | 0 |
Éstimation | |||
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Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
0$ | 111 | 21,953$ | 2,436,783$ |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
2020 | 8 | 2 | 5 | 0 | 0 | 0 | 0 | 1 | 12 | 18 | -6 | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 5 | 12 | 23 | 35 | 0 | 1 | 4 | 3 | 5 | 0 | 136 | 49 | 45 | 42 | 3 | 181 | 39 | 101 | 160 | 42 | 4 | 9.52% | 37 | 4 | 89.19% | 0 | 115 | 192 | 59.90% | 133 | 235 | 56.60% | 55 | 105 | 52.38% | 184 | 124 | 198 | 62 | 102 | 49 |
Total Saison Régulière | 8 | 2 | 5 | 0 | 0 | 0 | 0 | 1 | 12 | 18 | -6 | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 5 | 12 | 23 | 35 | 0 | 1 | 4 | 3 | 5 | 0 | 136 | 49 | 45 | 42 | 3 | 181 | 39 | 101 | 160 | 42 | 4 | 9.52% | 37 | 4 | 89.19% | 0 | 115 | 192 | 59.90% | 133 | 235 | 56.60% | 55 | 105 | 52.38% | 184 | 124 | 198 | 62 | 102 | 49 |