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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Joakim Nordstrom | 0 | X | 100.00 | 81 | 46 | 87 | 66 | 76 | 78 | 81 | 63 | 79 | 61 | 62 | 78 | 63 | 75 | 68 | 53 | 99 | 71 | 0 | 28 | 5 | 900,000$ | ||||
2 | Colton Sceviour | 0 | X | X | 100.00 | 80 | 42 | 87 | 62 | 72 | 78 | 83 | 61 | 76 | 63 | 60 | 82 | 61 | 79 | 71 | 47 | 99 | 71 | 0 | 31 | 2 | 1,200,000$ | |||
3 | Logan Brown | 0 | X | X | 100.00 | 71 | 49 | 85 | 65 | 96 | 80 | 82 | 63 | 78 | 66 | 62 | 67 | 65 | 63 | 62 | 85 | 99 | 71 | 0 | 22 | 1 | 750,000$ | |||
4 | Dominik Kahun | 0 | X | 100.00 | 52 | 38 | 88 | 72 | 67 | 80 | 86 | 71 | 69 | 73 | 67 | 64 | 72 | 69 | 67 | 42 | 98 | 71 | 0 | 25 | 2 | 750,000$ | ||||
5 | Tanner Kero | 0 | X | X | 100.00 | 56 | 46 | 88 | 63 | 70 | 86 | 87 | 61 | 74 | 62 | 58 | 63 | 61 | 75 | 68 | 57 | 99 | 68 | 0 | 28 | 5 | 750,000$ | |||
6 | Michael Dal Colle | 0 | X | 100.00 | 75 | 42 | 89 | 63 | 84 | 75 | 77 | 64 | 53 | 61 | 60 | 62 | 65 | 67 | 64 | 86 | 99 | 68 | 0 | 24 | 4 | 850,000$ | ||||
7 | Jason Robertson (R) | 0 | X | 100.00 | 66 | 46 | 90 | 66 | 85 | 79 | 74 | 63 | 56 | 61 | 61 | 64 | 63 | 61 | 62 | 76 | 99 | 68 | 0 | 21 | 3 | 750,000$ | ||||
8 | Gemel Smith | 0 | X | X | 100.00 | 59 | 45 | 87 | 63 | 72 | 78 | 77 | 62 | 69 | 60 | 61 | 59 | 63 | 71 | 66 | 59 | 99 | 66 | 0 | 26 | 3 | 750,000$ | |||
9 | Noah Gregor (R) | 0 | X | 100.00 | 68 | 41 | 88 | 64 | 71 | 73 | 66 | 62 | 70 | 61 | 59 | 63 | 64 | 63 | 62 | 65 | 99 | 65 | 0 | 22 | 3 | 750,000$ | ||||
10 | Andrej Sekera | 0 | X | 100.00 | 60 | 40 | 87 | 64 | 73 | 83 | 77 | 63 | 30 | 69 | 55 | 78 | 48 | 84 | 74 | 35 | 99 | 70 | 0 | 34 | 4 | 1,500,000$ | ||||
11 | Korbinian Holzer | 0 | X | 100.00 | 82 | 45 | 80 | 61 | 86 | 84 | 73 | 59 | 30 | 60 | 53 | 78 | 47 | 80 | 72 | 37 | 99 | 70 | 0 | 32 | 4 | 850,000$ | ||||
12 | Dylan McIlrath | 0 | X | 100.00 | 75 | 57 | 77 | 60 | 96 | 80 | 72 | 59 | 30 | 57 | 56 | 66 | 53 | 75 | 68 | 71 | 99 | 68 | 0 | 28 | 5 | 750,000$ | ||||
13 | Jake Walman (R) | 0 | X | 100.00 | 57 | 43 | 88 | 60 | 71 | 78 | 75 | 59 | 30 | 58 | 57 | 61 | 53 | 67 | 64 | 63 | 99 | 64 | 0 | 24 | 3 | 750,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
1 | Sven Baertschi | 0 | X | 100.00 | 58 | 42 | 88 | 63 | 70 | 79 | 72 | 64 | 59 | 65 | 61 | 62 | 64 | 75 | 68 | 71 | 99 | 67 | 0 | 27 | 1 | 2,000,000$ | ||||
2 | Kevin Connauton | 0 | X | 100.00 | 73 | 46 | 85 | 60 | 81 | 86 | 77 | 59 | 30 | 64 | 58 | 70 | 54 | 78 | 68 | 51 | 99 | 70 | 0 | 30 | 6 | 1,375,000$ | ||||
3 | Joey Keane (R) | 0 | X | 100.00 | 59 | 48 | 85 | 64 | 72 | 89 | 87 | 63 | 30 | 62 | 55 | 56 | 52 | 61 | 64 | 63 | 99 | 67 | 0 | 21 | 3 | 800,000$ | ||||
4 | Ryan Sproul | 0 | X | 100.00 | 60 | 89 | 69 | 67 | 87 | 50 | 50 | 67 | 30 | 51 | 46 | 50 | 56 | 52 | 51 | 67 | 99 | 57 | 0 | 27 | 1 | 750,000$ | ||||
MOYENNE D'ÉQUIPE | 100.00 | 67 | 47 | 85 | 64 | 78 | 79 | 76 | 63 | 53 | 62 | 58 | 66 | 59 | 70 | 66 | 60 | 99 | 68 |
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 | Stuart Skinner (R) | 100.00 | 74 | 73 | 71 | 88 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 63 | 67 | 65 | 99 | 67 | 0 | |
Rayé | ||||||||||||||||||||
1 | Dylan Wells | 100.00 | 61 | 59 | 57 | 78 | 60 | 59 | 61 | 60 | 59 | 61 | 60 | 63 | 67 | 59 | 99 | 57 | 0 | |
MOYENNE D'ÉQUIPE | 100.00 | 68 | 66 | 64 | 83 | 67 | 66 | 68 | 67 | 66 | 68 | 67 | 63 | 67 | 62 | 99 | 62 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Boughner | 80 | 75 | 78 | 75 | 76 | 76 | 72 | CAN | 50 | 9 | 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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrej Sekera | BRIDGEPORT Sound Tigers (ISL) | D | 34 | 6/8/1986 | No | 89 Kg | 183 CM | No | No | No | 4 | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 0$ | 0$ | No | 1,500,000$ | 1,500,000$ | 1,500,000$ | Lien | ||||||
Colton Sceviour | BRIDGEPORT Sound Tigers (ISL) | C/RW | 31 | 4/20/1989 | No | 86 Kg | 183 CM | No | No | No | 2 | Pro & Farm | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 0$ | 0$ | No | 1,200,000$ | Lien | ||||||||
Dominik Kahun | BRIDGEPORT Sound Tigers (ISL) | C | 25 | 7/2/1995 | No | 80 Kg | 180 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Dylan McIlrath | BRIDGEPORT Sound Tigers (ISL) | D | 28 | 4/20/1992 | No | 105 Kg | 196 CM | No | No | No | 5 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | 750,000$ | Lien | |||||
Dylan Wells | BRIDGEPORT Sound Tigers (ISL) | G | 22 | 1/3/1998 | No | 86 Kg | 188 CM | No | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | Lien | ||||||
Gemel Smith | BRIDGEPORT Sound Tigers (ISL) | C/LW | 26 | 4/16/1994 | No | 89 Kg | 180 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | |||||||
Jake Walman | BRIDGEPORT Sound Tigers (ISL) | D | 24 | 2/20/1996 | Yes | 77 Kg | 185 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Jason Robertson | BRIDGEPORT Sound Tigers (ISL) | RW | 21 | 7/22/1999 | Yes | 95 Kg | 191 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Joakim Nordstrom | BRIDGEPORT Sound Tigers (ISL) | LW | 28 | 2/25/1992 | No | 88 Kg | 185 CM | No | No | No | 5 | Pro & Farm | 900,000$ | 900,000$ | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | 900,000$ | Lien | |||||
Joey Keane | BRIDGEPORT Sound Tigers (ISL) | D | 21 | 7/2/1999 | Yes | 85 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 800,000$ | 800,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | ||||||||
Kevin Connauton | BRIDGEPORT Sound Tigers (ISL) | D | 30 | 2/23/1990 | No | 93 Kg | 188 CM | No | No | No | 6 | Pro & Farm | 1,375,000$ | 1,375,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 1,375,000$ | 1,375,000$ | 1,375,000$ | 1,375,000$ | 1,375,000$ | Lien | ||||
Korbinian Holzer | BRIDGEPORT Sound Tigers (ISL) | D | 32 | 2/16/1988 | No | 97 Kg | 191 CM | No | No | No | 4 | Pro & Farm | 850,000$ | 850,000$ | 850,000$ | 850,000$ | 0$ | 0$ | No | 850,000$ | 850,000$ | 850,000$ | Lien | ||||||
Logan Brown | BRIDGEPORT Sound Tigers (ISL) | C/LW | 22 | 3/5/1998 | No | 100 Kg | 198 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
Michael Dal Colle | BRIDGEPORT Sound Tigers (ISL) | LW | 24 | 6/20/1996 | No | 93 Kg | 191 CM | No | No | No | 4 | Pro & Farm | 850,000$ | 850,000$ | 850,000$ | 850,000$ | 0$ | 0$ | No | 850,000$ | 850,000$ | 850,000$ | Lien | ||||||
Noah Gregor | BRIDGEPORT Sound Tigers (ISL) | C | 22 | 7/28/1998 | Yes | 84 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Ryan Sproul | BRIDGEPORT Sound Tigers (ISL) | D | 27 | 1/13/1993 | No | 93 Kg | 193 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
Stuart Skinner | BRIDGEPORT Sound Tigers (ISL) | G | 21 | 11/1/1998 | Yes | 94 Kg | 193 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Sven Baertschi | BRIDGEPORT Sound Tigers (ISL) | RW | 27 | 10/5/1992 | No | 86 Kg | 180 CM | No | No | No | 1 | Pro & Farm | 2,000,000$ | 2,000,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
Tanner Kero | BRIDGEPORT Sound Tigers (ISL) | C/RW | 28 | 7/24/1992 | No | 82 Kg | 183 CM | No | No | No | 5 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | 750,000$ | Lien |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
19 | 25.95 | 90 Kg | 188 CM | 3.26 | 932,895$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Logan Brown | Colton Sceviour | 35 | 0 | 2 | 3 | |
2 | Joakim Nordstrom | Noah Gregor | 30 | 0 | 2 | 3 | |
3 | Jason Robertson | Tanner Kero | Michael Dal Colle | 25 | 1 | 2 | 2 |
4 | Michael Dal Colle | Gemel Smith | Colton Sceviour | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Andrej Sekera | 44 | 0 | 3 | 2 | ||
2 | Dylan McIlrath | 36 | 1 | 3 | 1 | ||
3 | Jake Walman | Andrej Sekera | 20 | 1 | 3 | 1 | |
4 | Dylan McIlrath | 0 | 1 | 3 | 1 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Logan Brown | 55 | 0 | 1 | 4 | ||
2 | Michael Dal Colle | Colton Sceviour | Jason Robertson | 45 | 1 | 0 | 4 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Andrej Sekera | 55 | 0 | 1 | 4 | ||
2 | Dylan McIlrath | 45 | 0 | 1 | 4 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Colton Sceviour | Joakim Nordstrom | 55 | 1 | 3 | 1 |
2 | Logan Brown | Michael Dal Colle | 45 | 1 | 4 | 0 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Andrej Sekera | 55 | 1 | 4 | 0 | |
2 | Dylan McIlrath | 45 | 1 | 4 | 0 |
3 joueurs en Désavantage Numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
1 | Colton Sceviour | 55 | 1 | 4 | 0 | Andrej Sekera | 55 | 1 | 4 | 0 | |
2 | Logan Brown | 45 | 1 | 4 | 0 | Dylan McIlrath | 45 | 1 | 4 | 0 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Colton Sceviour | Joakim Nordstrom | 55 | 1 | 2 | 2 |
2 | Logan Brown | Michael Dal Colle | 45 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Andrej Sekera | 55 | 1 | 2 | 2 | |
2 | Dylan McIlrath | 45 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Joakim Nordstrom | Logan Brown | Colton Sceviour | Andrej Sekera |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Joakim Nordstrom | Colton Sceviour | Andrej Sekera |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
, Michael Dal Colle, Jason Robertson | , Michael Dal Colle |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Dylan McIlrath, , Jake Walman | Dylan McIlrath | Dylan McIlrath, |
Tirs de Pénalité |
---|
Colton Sceviour, Logan Brown, Joakim Nordstrom, Tanner Kero, |
Gardien |
---|
#1 : Stuart Skinner, #2 : |
Lignes d'Attaque Perso. en Prol. |
---|
Colton Sceviour, Logan Brown, Joakim Nordstrom, Tanner Kero, , Michael Dal Colle, Michael Dal Colle, Jason Robertson, , Gemel Smith, Noah Gregor |
Lignes de Défense Perso. en Prol. |
---|
Andrej Sekera, , Dylan McIlrath, , Jake Walman |
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 |
Ligue | 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 Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
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 Éxtérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
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 |
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Capacité de l'Aréna - Tendance du Prix des Billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité de l'Aréna | 2000 | 1000 |
Prix des Billets | 35 | 15 |
Assistance | 0.00% | 0.00% |
Assistance PCT | 0.00% | 0.00% |
Revenus | |||||
---|---|---|---|---|---|
Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité de l'Aréna | Popularité de l'Équipe |
40 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
0$ | 1,772,500$ | 1,580,000$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
0$ | 0 | 0$ | 0$ |
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 |
Saison Régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
34 | 80 | 46 | 16 | 0 | 2 | 8 | 6 | 2 | 227 | 154 | 73 | 40 | 25 | 5 | 0 | 1 | 6 | 3 | 0 | 123 | 74 | 49 | 40 | 21 | 11 | 0 | 1 | 2 | 3 | 2 | 104 | 80 | 24 | 118 | 227 | 410 | 637 | 0 | 13 | 80 | 61 | 78 | 13 | 2535 | 856 | 778 | 858 | 74 | 2004 | 516 | 649 | 1418 | 229 | 46 | 20.09% | 305 | 34 | 88.85% | 5 | 1608 | 2693 | 59.71% | 1330 | 2433 | 54.67% | 671 | 1134 | 59.17% | 2128 | 1517 | 1713 | 560 | 1018 | 525 |
34 | 80 | 46 | 16 | 0 | 2 | 8 | 6 | 2 | 227 | 154 | 73 | 40 | 25 | 5 | 0 | 1 | 6 | 3 | 0 | 123 | 74 | 49 | 40 | 21 | 11 | 0 | 1 | 2 | 3 | 2 | 104 | 80 | 24 | 118 | 227 | 410 | 637 | 0 | 13 | 80 | 61 | 78 | 13 | 2535 | 856 | 778 | 858 | 74 | 2004 | 516 | 649 | 1418 | 229 | 46 | 20.09% | 305 | 34 | 88.85% | 5 | 1608 | 2693 | 59.71% | 1330 | 2433 | 54.67% | 671 | 1134 | 59.17% | 2128 | 1517 | 1713 | 560 | 1018 | 525 |
Total Saison Régulière | 160 | 92 | 32 | 0 | 4 | 16 | 12 | 4 | 454 | 308 | 146 | 80 | 50 | 10 | 0 | 2 | 12 | 6 | 0 | 246 | 148 | 98 | 80 | 42 | 22 | 0 | 2 | 4 | 6 | 4 | 208 | 160 | 48 | 236 | 454 | 820 | 1274 | 0 | 26 | 160 | 122 | 156 | 26 | 5070 | 1712 | 1556 | 1716 | 148 | 4008 | 1032 | 1298 | 2836 | 458 | 92 | 20.09% | 610 | 68 | 88.85% | 10 | 3216 | 5386 | 59.71% | 2660 | 4866 | 54.67% | 1342 | 2268 | 59.17% | 4257 | 3034 | 3426 | 1120 | 2036 | 1050 |
Séries | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
34 | 12 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 27 | 27 | 0 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 19 | 14 | 5 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 10 | 27 | 49 | 76 | 1 | 2 | 13 | 8 | 6 | 0 | 354 | 106 | 121 | 117 | 10 | 301 | 94 | 90 | 194 | 38 | 6 | 15.79% | 43 | 4 | 90.70% | 1 | 218 | 413 | 52.78% | 192 | 376 | 51.06% | 102 | 184 | 55.43% | 316 | 222 | 288 | 92 | 158 | 80 |
Total Séries | 12 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 27 | 27 | 0 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 19 | 14 | 5 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 10 | 27 | 49 | 76 | 1 | 2 | 13 | 8 | 6 | 0 | 354 | 106 | 121 | 117 | 10 | 301 | 94 | 90 | 194 | 38 | 6 | 15.79% | 43 | 4 | 90.70% | 1 | 218 | 413 | 52.78% | 192 | 376 | 51.06% | 102 | 184 | 55.43% | 316 | 222 | 288 | 92 | 158 | 80 |