Eagles | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: blix900 | Morale : 40 | Moyenne d’équipe : 58 Prochain matchs #8 vs IceHogs |
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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 |
# | 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 | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Phil Tomasino | 0 | X | 100.00 | 58 | 40 | 88 | 69 | 79 | 78 | 75 | 65 | 53 | 71 | 64 | 63 | 62 | 52 | 62 | 0 | 40 | 63 | 0 | 21 | 2 | 925,000$ | ||||
2 | Nathan Walker (A) | 0 | X | 100.00 | 89 | 42 | 81 | 64 | 79 | 64 | 62 | 65 | 53 | 67 | 68 | 62 | 64 | 67 | 77 | 0 | 40 | 63 | 0 | 28 | 2 | 850,000$ | ||||
3 | Andrew Poturalski (A) | 0 | X | 100.00 | 50 | 41 | 75 | 66 | 78 | 60 | 56 | 73 | 53 | 77 | 66 | 57 | 63 | 67 | 73 | 0 | 40 | 62 | 0 | 28 | 3 | 850,000$ | ||||
4 | Marc McLaughlin (R) | 0 | X | 100.00 | 77 | 45 | 77 | 62 | 83 | 74 | 39 | 58 | 56 | 58 | 70 | 61 | 65 | 51 | 62 | 0 | 40 | 59 | 0 | 23 | 2 | 925,000$ | ||||
5 | Riley Damiani | 0 | X | 100.00 | 57 | 38 | 76 | 62 | 76 | 60 | 50 | 60 | 57 | 66 | 61 | 60 | 61 | 52 | 62 | 0 | 40 | 57 | 0 | 22 | 2 | 925,000$ | ||||
6 | Simon Holmstrom | 0 | X | 100.00 | 50 | 41 | 75 | 59 | 80 | 60 | 46 | 60 | 40 | 66 | 60 | 62 | 60 | 53 | 63 | 0 | 40 | 57 | 0 | 21 | 1 | 925,000$ | ||||
7 | Alex Limoges (R) | 0 | X | 100.00 | 50 | 52 | 75 | 54 | 85 | 60 | 40 | 60 | 40 | 63 | 64 | 62 | 62 | 52 | 62 | 0 | 40 | 56 | 0 | 25 | 1 | 925,000$ | ||||
8 | Samuel Asselin | 0 | X | 100.00 | 50 | 41 | 75 | 57 | 79 | 60 | 46 | 56 | 60 | 64 | 58 | 62 | 59 | 52 | 62 | 0 | 40 | 56 | 0 | 24 | 2 | 850,000$ | ||||
9 | Chris Wilkie (R) | 0 | X | 100.00 | 50 | 43 | 75 | 57 | 81 | 60 | 17 | 58 | 40 | 65 | 60 | 62 | 60 | 51 | 61 | 0 | 40 | 55 | 0 | 26 | 1 | 800,000$ | ||||
10 | Jonathan Gruden (R) | 0 | X | 100.00 | 50 | 48 | 75 | 55 | 81 | 60 | 53 | 55 | 40 | 62 | 58 | 62 | 59 | 53 | 63 | 0 | 40 | 55 | 0 | 22 | 2 | 750,000$ | ||||
11 | Joona Koppanen | 0 | X | 100.00 | 50 | 48 | 75 | 52 | 89 | 60 | 40 | 57 | 40 | 64 | 59 | 62 | 60 | 53 | 63 | 0 | 40 | 55 | 0 | 24 | 1 | 750,000$ | ||||
12 | Jack Kopacka | 0 | X | 100.00 | 50 | 50 | 75 | 53 | 84 | 60 | 30 | 53 | 40 | 61 | 59 | 62 | 60 | 54 | 63 | 0 | 40 | 54 | 0 | 24 | 2 | 800,000$ | ||||
13 | Ethan Bear | 0 | X | 100.00 | 69 | 44 | 87 | 62 | 82 | 78 | 66 | 68 | 20 | 66 | 66 | 72 | 63 | 54 | 64 | 0 | 40 | 64 | 0 | 25 | 1 | 1,750,000$ | ||||
14 | Cam Dineen | 0 | X | 100.00 | 58 | 42 | 86 | 62 | 80 | 67 | 54 | 70 | 20 | 69 | 59 | 70 | 60 | 53 | 63 | 0 | 40 | 61 | 0 | 24 | 1 | 750,000$ | ||||
15 | Jeremy Davies | 0 | X | 100.00 | 64 | 45 | 76 | 60 | 78 | 60 | 49 | 71 | 20 | 68 | 60 | 67 | 60 | 54 | 63 | 0 | 40 | 60 | 0 | 25 | 1 | 900,000$ | ||||
16 | Christian Wolanin | 0 | X | 100.00 | 57 | 43 | 78 | 57 | 82 | 60 | 42 | 70 | 20 | 67 | 59 | 68 | 60 | 53 | 63 | 0 | 40 | 59 | 0 | 27 | 3 | 900,000$ | ||||
17 | Leon Gawanke | 0 | X | 100.00 | 50 | 50 | 75 | 55 | 83 | 60 | 43 | 71 | 20 | 66 | 63 | 68 | 62 | 53 | 63 | 0 | 40 | 58 | 0 | 23 | 1 | 810,000$ | ||||
18 | Tarmo Reunanen | 0 | X | 100.00 | 50 | 41 | 75 | 57 | 80 | 60 | 26 | 69 | 20 | 65 | 59 | 68 | 60 | 51 | 61 | 0 | 40 | 57 | 0 | 24 | 1 | 925,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
1 | Blake Speers | 0 | X | 100.00 | 50 | 46 | 75 | 54 | 79 | 60 | 30 | 50 | 60 | 59 | 55 | 62 | 58 | 53 | 63 | 0 | 40 | 53 | 0 | 25 | 1 | 750,000$ | ||||
2 | Alexander Khovanov (R) | 0 | X | X | X | 100.00 | 50 | 43 | 75 | 53 | 81 | 60 | 10 | 52 | 40 | 61 | 56 | 62 | 58 | 50 | 60 | 0 | 40 | 52 | 0 | 22 | 2 | 850,000$ | ||
3 | Brady Lyle (R) | 0 | X | 100.00 | 50 | 48 | 75 | 50 | 87 | 60 | 41 | 66 | 20 | 62 | 60 | 68 | 60 | 55 | 64 | 0 | 40 | 57 | 0 | 23 | 1 | 925,000$ | ||||
4 | Colby Williams | 0 | X | 100.00 | 50 | 55 | 75 | 51 | 83 | 60 | 29 | 64 | 20 | 61 | 57 | 68 | 59 | 56 | 66 | 0 | 40 | 56 | 0 | 27 | 2 | 750,000$ | ||||
5 | Teemu Kivihalme | 0 | X | 100.00 | 50 | 40 | 75 | 56 | 79 | 60 | 10 | 66 | 20 | 62 | 57 | 68 | 59 | 51 | 61 | 0 | 40 | 55 | 0 | 27 | 2 | 750,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 56 | 45 | 77 | 58 | 81 | 63 | 41 | 62 | 37 | 65 | 61 | 64 | 61 | 54 | 64 | 0 | 40 | 58 |
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 | Eetu Makiniemi (R) | 100.00 | 58 | 58 | 55 | 85 | 64 | 61 | 63 | 63 | 63 | 59 | 61 | 68 | 67 | 0 | 40 | 62 | 0 | |
2 | Adam Werner | 100.00 | 54 | 63 | 60 | 89 | 59 | 58 | 58 | 59 | 59 | 55 | 58 | 71 | 69 | 0 | 40 | 61 | 0 | |
Rayé | ||||||||||||||||||||
1 | Isaiah Saville (R) | 100.00 | 54 | 52 | 49 | 84 | 60 | 57 | 59 | 59 | 58 | 55 | 57 | 65 | 66 | 0 | 40 | 59 | 0 | |
2 | Arturs Silovs (R) | 100.00 | 47 | 57 | 54 | 88 | 52 | 51 | 51 | 52 | 52 | 48 | 51 | 65 | 66 | 0 | 40 | 55 | 0 | |
MOYENNE D’ÉQUIPE | 100.00 | 53 | 58 | 55 | 87 | 59 | 57 | 58 | 58 | 58 | 54 | 57 | 67 | 67 | 0 | 40 | 59 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Wayne Gretzky | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 58 | 8 | 500,000$ |
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 |
---|
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 |
---|
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 | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Werner | Eagles (COL) | G | 25 | 7/1/1997 | No | 205 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 800,000$ | 791,534$ | 800,000$ | 791,534$ | 0$ | 0$ | No | Lien | |||||||||
Alex Limoges | Eagles (COL) | LW | 25 | 9/16/1997 | Yes | 207 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | Lien | |||||||||
Alexander Khovanov | Eagles (COL) | C/LW/RW | 22 | 4/12/2000 | Yes | 192 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Lien | ||||||||
Andrew Poturalski (contrat à 1 volet) | Eagles (COL) | C | 28 | 1/14/1994 | No | 183 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Lien | |||||||
Arturs Silovs | Eagles (COL) | G | 21 | 7/1/2001 | Yes | 203 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Lien | |||||||
Blake Speers | Eagles (COL) | C | 25 | 2/2/1997 | No | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Lien | |||||||||
Brady Lyle | Eagles (COL) | D | 23 | 6/6/1999 | Yes | 210 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | Lien | |||||||||
Cam Dineen | Eagles (COL) | D | 24 | 6/19/1998 | No | 188 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Lien | |||||||||
Chris Wilkie | Eagles (COL) | RW | 26 | 7/10/1996 | Yes | 190 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 800,000$ | 791,534$ | 800,000$ | 791,534$ | 0$ | 0$ | No | Lien | |||||||||
Christian Wolanin | Eagles (COL) | D | 27 | 3/17/1995 | No | 190 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 900,000$ | 890,476$ | 900,000$ | 890,476$ | 0$ | 0$ | No | 900,000$ | 900,000$ | Lien | |||||||
Colby Williams | Eagles (COL) | D | 27 | 1/26/1995 | No | 200 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Eetu Makiniemi | Eagles (COL) | G | 23 | 7/1/1999 | Yes | 183 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Lien | ||||||||
Ethan Bear | Eagles (COL) | D | 25 | 6/26/1997 | No | 197 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,750,000$ | 1,731,481$ | 1,750,000$ | 1,731,481$ | 0$ | 0$ | No | Lien | |||||||||
Isaiah Saville | Eagles (COL) | G | 22 | 9/21/2000 | Yes | 196 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Lien | |||||||
Jack Kopacka | Eagles (COL) | LW | 24 | 3/5/1998 | No | 200 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 800,000$ | 791,534$ | 800,000$ | 791,534$ | 0$ | 0$ | No | 800,000$ | Lien | ||||||||
Jeremy Davies | Eagles (COL) | D | 25 | 12/4/1996 | No | 180 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 900,000$ | 890,476$ | 900,000$ | 890,476$ | 0$ | 0$ | No | Lien | |||||||||
Jonathan Gruden | Eagles (COL) | LW | 22 | 5/4/2000 | Yes | 190 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Joona Koppanen | Eagles (COL) | LW | 24 | 2/25/1998 | No | 210 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Lien | |||||||||
Leon Gawanke | Eagles (COL) | D | 23 | 5/31/1999 | No | 198 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 810,000$ | 801,429$ | 810,000$ | 801,429$ | 0$ | 0$ | No | Lien | |||||||||
Marc McLaughlin | Eagles (COL) | C | 23 | 7/26/1999 | Yes | 198 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
Nathan Walker | Eagles (COL) | LW | 28 | 2/7/1994 | No | 187 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Lien | ||||||||
Phil Tomasino | Eagles (COL) | C | 21 | 7/28/2001 | No | 179 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
Riley Damiani | Eagles (COL) | C | 22 | 3/20/2000 | No | 170 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
Samuel Asselin | Eagles (COL) | C | 24 | 7/1/1998 | No | 184 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Lien | ||||||||
Simon Holmstrom | Eagles (COL) | RW | 21 | 5/24/2001 | No | 183 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | Lien | |||||||||
Tarmo Reunanen | Eagles (COL) | D | 24 | 3/1/1998 | No | 185 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | Lien | |||||||||
Teemu Kivihalme | Eagles (COL) | D | 27 | 6/14/1995 | No | 181 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | 750,000$ | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
27 | 24.11 | 192 Lbs | 6 ft0 | 1.70 | 877,222$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 40 | 0 | 2 | 3 | |||
2 | 30 | 0 | 2 | 3 | |||
3 | 20 | 0 | 2 | 3 | |||
4 | 10 | 0 | 2 | 3 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 40 | 0 | 3 | 2 | |||
2 | 35 | 0 | 3 | 2 | |||
3 | 25 | 0 | 3 | 2 | |||
4 | 0 | 0 | 3 | 2 |
Attaque en svantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 0 | 1 | 4 | |||
2 | 40 | 0 | 1 | 4 |
Défense en svantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 0 | 1 | 4 | |||
2 | 40 | 0 | 1 | 4 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 0 | 4 | 1 | ||
2 | 40 | 0 | 4 | 1 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 0 | 4 | 1 | ||
2 | 40 | 0 | 4 | 1 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 0 | 5 | 0 | 60 | 0 | 5 | 0 | |||
2 | 40 | 0 | 5 | 0 | 40 | 0 | 5 | 0 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 0 | 2 | 3 | ||
2 | 40 | 0 | 2 | 3 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 0 | 3 | 2 | ||
2 | 40 | 0 | 3 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
---|
, , , , |
Gardien |
---|
#1 : , #2 : |
Lignes d’attaque personnalisées en prolongation |
---|
, , , , , , , , , , |
Lignes de défense personnalisées en prolongation |
---|
, , , , |
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 |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
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 |
---|---|---|---|---|---|---|
0 | 0 | 0.00% | 0 | 0 | 0.00% | 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 |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
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 |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
Temps avec la rondelle | |||||
---|---|---|---|---|---|
En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|---|---|---|---|---|---|---|---|---|---|
6 - 2022-09-14 | 8 | IceHogs | - | Eagles | - | |||||
7 - 2022-09-15 | 18 | Eagles | - | Heat | - | |||||
11 - 2022-09-19 | 45 | Eagles | - | Wild | - | |||||
13 - 2022-09-21 | 57 | Moose | - | Eagles | - | |||||
15 - 2022-09-23 | 73 | Firebirds | - | Eagles | - | |||||
16 - 2022-09-24 | 85 | Eagles | - | Silver Knights | - | |||||
19 - 2022-09-27 | 99 | Eagles | - | Wolf Pack | - | |||||
22 - 2022-09-30 | 123 | Eagles | - | Comets | - | |||||
23 - 2022-10-01 | 135 | Eagles | - | Islanders | - | |||||
29 - 2022-10-07 | 174 | Monsters | - | Eagles | - | |||||
30 - 2022-10-08 | 176 | Eagles | - | Monsters | - | |||||
35 - 2022-10-13 | 219 | Admirals | - | Eagles | - | |||||
37 - 2022-10-15 | 233 | Wolves | - | Eagles | - | |||||
39 - 2022-10-17 | 247 | Thunderbirds | - | Eagles | - | |||||
42 - 2022-10-20 | 261 | Eagles | - | Wolves | - | |||||
44 - 2022-10-22 | 279 | Eagles | - | Bears | - | |||||
46 - 2022-10-24 | 298 | Eagles | - | Stars | - | |||||
48 - 2022-10-26 | 317 | Canucks | - | Eagles | - | |||||
50 - 2022-10-28 | 319 | Eagles | - | Admirals | - | |||||
51 - 2022-10-29 | 339 | Stars | - | Eagles | - | |||||
54 - 2022-11-01 | 357 | Eagles | - | Moose | - | |||||
56 - 2022-11-03 | 365 | Eagles | - | Americans | - | |||||
58 - 2022-11-05 | 381 | Eagles | - | Bruins | - | |||||
60 - 2022-11-07 | 397 | Eagles | - | Phantoms | - | |||||
62 - 2022-11-09 | 415 | Bruins | - | Eagles | - | |||||
64 - 2022-11-11 | 430 | Wolf Pack | - | Eagles | - | |||||
66 - 2022-11-13 | 442 | Eagles | - | Thunderbirds | - | |||||
68 - 2022-11-15 | 464 | Phantoms | - | Eagles | - | |||||
70 - 2022-11-17 | 479 | Americans | - | Eagles | - | |||||
72 - 2022-11-19 | 493 | Admirals | - | Eagles | - | |||||
74 - 2022-11-21 | 506 | Islanders | - | Eagles | - | |||||
76 - 2022-11-23 | 520 | Rocket | - | Eagles | - | |||||
78 - 2022-11-25 | 539 | Eagles | - | Admirals | - | |||||
82 - 2022-11-29 | 554 | Eagles | - | Roadrunners | - | |||||
84 - 2022-12-01 | 571 | Reign | - | Eagles | - | |||||
86 - 2022-12-03 | 582 | Marlies | - | Eagles | - | |||||
88 - 2022-12-05 | 596 | Silver Knights | - | Eagles | - | |||||
91 - 2022-12-08 | 619 | Eagles | - | Canucks | - | |||||
93 - 2022-12-10 | 635 | Eagles | - | Condors | - | |||||
96 - 2022-12-13 | 656 | Checkers | - | Eagles | - | |||||
98 - 2022-12-15 | 671 | Eagles | - | IceHogs | - | |||||
100 - 2022-12-17 | 678 | Senators | - | Eagles | - | |||||
102 - 2022-12-19 | 696 | Griffins | - | Eagles | - | |||||
104 - 2022-12-21 | 715 | Eagles | - | Heat | - | |||||
106 - 2022-12-23 | 731 | Eagles | - | Canucks | - | |||||
107 - 2022-12-24 | 743 | Eagles | - | Firebirds | - | |||||
110 - 2022-12-27 | 764 | Bears | - | Eagles | - | |||||
112 - 2022-12-29 | 776 | Gulls | - | Eagles | - | |||||
114 - 2022-12-31 | 788 | Thunderbirds | - | Eagles | - | |||||
124 - 2023-01-10 | 813 | Eagles | - | Penguins | - | |||||
126 - 2023-01-12 | 821 | Eagles | - | Crunch | - | |||||
128 - 2023-01-14 | 839 | Eagles | - | Checkers | - | |||||
131 - 2023-01-17 | 862 | Crunch | - | Eagles | - | |||||
132 - 2023-01-18 | 867 | Eagles | - | Wild | - | |||||
135 - 2023-01-21 | 883 | Eagles | - | Thunderbirds | - | |||||
136 - 2023-01-22 | 898 | Condors | - | Eagles | - | |||||
141 - 2023-01-27 | 935 | Eagles | - | Moose | - | |||||
142 - 2023-01-28 | 945 | Heat | - | Eagles | - | |||||
144 - 2023-01-30 | 956 | Silver Knights | - | Eagles | - | |||||
146 - 2023-02-01 | 971 | Comets | - | Eagles | - | |||||
149 - 2023-02-04 | 997 | Eagles | - | Stars | - | |||||
150 - 2023-02-05 | 1005 | Firebirds | - | Eagles | - | |||||
152 - 2023-02-07 | 1019 | Barracuda | - | Eagles | - | |||||
154 - 2023-02-09 | 1033 | Reign | - | Eagles | - | |||||
156 - 2023-02-11 | 1041 | Roadrunners | - | Eagles | - | |||||
158 - 2023-02-13 | 1062 | Eagles | - | Rocket | - | |||||
160 - 2023-02-15 | 1077 | Eagles | - | Marlies | - | |||||
161 - 2023-02-16 | 1080 | Eagles | - | Senators | - | |||||
163 - 2023-02-18 | 1095 | Eagles | - | Griffins | - | |||||
165 - 2023-02-20 | 1117 | IceHogs | - | Eagles | - | |||||
167 - 2023-02-22 | 1133 | Penguins | - | Eagles | - | |||||
169 - 2023-02-24 | 1149 | Roadrunners | - | Eagles | - | |||||
171 - 2023-02-26 | 1165 | Eagles | - | Roadrunners | - | |||||
172 - 2023-02-27 | 1174 | Eagles | - | Gulls | - | |||||
174 - 2023-03-01 | 1188 | Wild | - | Eagles | - | |||||
177 - 2023-03-04 | 1212 | Stars | - | Eagles | - | |||||
180 - 2023-03-07 | 1239 | Eagles | - | Barracuda | - | |||||
182 - 2023-03-09 | 1256 | Eagles | - | Barracuda | - | |||||
184 - 2023-03-11 | 1272 | Eagles | - | Reign | - | |||||
185 - 2023-03-12 | 1274 | Eagles | - | Gulls | - | |||||
187 - 2023-03-14 | 1292 | Condors | - | Eagles | - | |||||
189 - 2023-03-16 | 1309 | Moose | - | Eagles | - |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 0 |
Assistance | 0.00% | 0.00% |
Assistance PCT | 0.00% | 0.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
24,164$ | 2,283,500$ | 2,283,500$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
12,082$ | 24,164$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 187 | 12,082$ | 2,259,334$ |
Total | 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 |
Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | 82 | 34 | 24 | 0 | 7 | 8 | 4 | 5 | 188 | 168 | 20 | 41 | 14 | 12 | 0 | 7 | 4 | 3 | 1 | 85 | 78 | 7 | 41 | 20 | 12 | 0 | 0 | 4 | 1 | 4 | 103 | 90 | 13 | 103 | 188 | 297 | 485 | 4 | 7 | 36 | 63 | 78 | 15 | 2700 | 873 | 913 | 887 | 70 | 2256 | 735 | 131 | 1856 | 124 | 34 | 27.42% | 48 | 14 | 70.83% | 1 | 865 | 1705 | 50.73% | 756 | 1451 | 52.10% | 468 | 981 | 47.71% | 1713 | 905 | 1557 | 798 | 1711 | 848 |
11 | 82 | 34 | 24 | 0 | 7 | 8 | 4 | 5 | 188 | 168 | 20 | 41 | 14 | 12 | 0 | 7 | 4 | 3 | 1 | 85 | 78 | 7 | 41 | 20 | 12 | 0 | 0 | 4 | 1 | 4 | 103 | 90 | 13 | 103 | 188 | 297 | 485 | 4 | 7 | 36 | 63 | 78 | 15 | 2700 | 873 | 913 | 887 | 70 | 2256 | 735 | 131 | 1856 | 124 | 34 | 27.42% | 48 | 14 | 70.83% | 1 | 865 | 1705 | 50.73% | 756 | 1451 | 52.10% | 468 | 981 | 47.71% | 1713 | 905 | 1557 | 798 | 1711 | 848 |
Total Saison régulière | 164 | 68 | 48 | 0 | 14 | 16 | 8 | 10 | 376 | 336 | 40 | 82 | 28 | 24 | 0 | 14 | 8 | 6 | 2 | 170 | 156 | 14 | 82 | 40 | 24 | 0 | 0 | 8 | 2 | 8 | 206 | 180 | 26 | 206 | 376 | 594 | 970 | 8 | 14 | 72 | 126 | 156 | 30 | 5400 | 1746 | 1826 | 1774 | 140 | 4512 | 1470 | 262 | 3712 | 248 | 68 | 27.42% | 96 | 28 | 70.83% | 2 | 1730 | 3410 | 50.73% | 1512 | 2902 | 52.10% | 936 | 1962 | 47.71% | 3426 | 1810 | 3115 | 1597 | 3422 | 1696 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 22 | 22 | 0 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 9 | 6 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 14 | 22 | 36 | 58 | 0 | 1 | 8 | 9 | 5 | 0 | 406 | 152 | 128 | 126 | 0 | 347 | 106 | 38 | 242 | 18 | 3 | 16.67% | 4 | 3 | 25.00% | 0 | 160 | 295 | 54.24% | 101 | 208 | 48.56% | 75 | 140 | 53.57% | 247 | 143 | 208 | 96 | 204 | 103 |
11 | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 22 | 22 | 0 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 9 | 6 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 14 | 22 | 36 | 58 | 0 | 1 | 8 | 9 | 5 | 0 | 406 | 152 | 128 | 126 | 0 | 347 | 106 | 38 | 242 | 18 | 3 | 16.67% | 4 | 3 | 25.00% | 0 | 160 | 295 | 54.24% | 101 | 208 | 48.56% | 75 | 140 | 53.57% | 247 | 143 | 208 | 96 | 204 | 103 |
Total Séries éliminatoires | 22 | 14 | 8 | 0 | 0 | 0 | 0 | 0 | 44 | 44 | 0 | 10 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 30 | 18 | 12 | 12 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 14 | 26 | -12 | 28 | 44 | 72 | 116 | 0 | 2 | 16 | 18 | 10 | 0 | 812 | 304 | 256 | 252 | 0 | 694 | 212 | 76 | 484 | 36 | 6 | 16.67% | 8 | 6 | 25.00% | 0 | 320 | 590 | 54.24% | 202 | 416 | 48.56% | 150 | 280 | 53.57% | 494 | 287 | 416 | 192 | 409 | 207 |