Laval Rocket | |
GP: 72 | W: 28 | L: 36 | OTL: 8 | P: 64 GF: 159 | GA: 230 | PP%: 20.90% | PK%: 79.62% DG: Martin Thibeault | Morale : 50 | Moyenne d’équipe : N/A |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kalle Kossila | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 41 | 0 | 0 | 30 | 1 | 700,000$ | ||||
2 | Jeremy Bracco (R) | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 46 | 0 | 0 | 26 | 2 | 700,000$ | ||||
3 | Matt Bartkowski | X | 100.00 | 69 | 40 | 79 | 54 | 78 | 71 | 86 | 53 | 30 | 55 | 52 | 56 | 45 | 75 | 77 | 25 | 41 | 0 | 0 | 35 | 2 | 700,000$ | ||||
4 | Christian Djoos | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 29 | 3 | 1,000,000$ | ||||
5 | Brett Lernout | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 28 | 1 | 700,000$ | ||||
6 | Brennan Menell (R) | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 26 | 3 | 750,000$ | ||||
7 | Oskari Laaksonen | X | 100.00 | 63 | 38 | 81 | 56 | 72 | 64 | 80 | 55 | 30 | 58 | 53 | 54 | 46 | 64 | 66 | 62 | 50 | 0 | 0 | 24 | 3 | 925,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 47 | 36 | 51 | 44 | 46 | 76 | 88 | 44 | 23 | 45 | 44 | 44 | 34 | 38 | 38 | 20 | 47 | 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 | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Eric Comrie | 100.00 | 68 | 84 | 72 | 74 | 72 | 73 | 76 | 76 | 77 | 61 | 78 | 68 | 81 | 99 | 49 | 0 | 0 | 28 | 1 | 700,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 68 | 84 | 72 | 74 | 72 | 73 | 76 | 76 | 77 | 61 | 78 | 68 | 81 | 99 | 49 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Montreal | 30 | 30 | 30 | 30 | 30 | 30 | 11 | CAN | 43 | 1 | 40,000$ |
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 | Matt Bartkowski | Laval Rocket (MTL) | D | 68 | 28 | 45 | 73 | 1 | 42 | 0 | 223 | 105 | 196 | 57 | 122 | 14.29% | 91 | 1497 | 22.02 | 8 | 7 | 15 | 87 | 140 | 0 | 0 | 0 | 1 | 88 | 1 | 4 | 0% | 0 | 0 | 0 | 0 | 0 | 0.98 | 2 | 8 | 0 | 0 | 0 | 17 | 7 | 11 |
2 | Christian Djoos | Laval Rocket (MTL) | D | 72 | 22 | 33 | 55 | -25 | 74 | 0 | 272 | 174 | 249 | 97 | 177 | 8.84% | 58 | 1555 | 21.60 | 4 | 15 | 19 | 31 | 120 | 1 | 0 | 1 | 1 | 34 | 4 | 3 | 50.29% | 692 | 0 | 0 | 0 | 0 | 0.71 | 0 | 2 | 0 | 0 | 0 | 7 | 8 | 11 |
3 | Oskari Laaksonen | Laval Rocket (MTL) | D | 72 | 27 | 22 | 49 | -28 | 56 | 20 | 181 | 108 | 197 | 53 | 131 | 13.71% | 72 | 1439 | 19.99 | 9 | 7 | 16 | 56 | 85 | 0 | 0 | 0 | 3 | 73 | 6 | 0 | 76.92% | 13 | 0 | 0 | 1 | 0 | 0.68 | 4 | 9 | 2 | 1 | 1 | 5 | 10 | 7 |
4 | Brett Lernout | Laval Rocket (MTL) | D | 72 | 22 | 21 | 43 | -39 | 64 | 0 | 251 | 198 | 255 | 77 | 199 | 8.63% | 74 | 1646 | 22.87 | 6 | 5 | 11 | 39 | 131 | 0 | 0 | 0 | 0 | 11 | 2 | 1 | 50.72% | 830 | 0 | 0 | 0 | 1 | 0.52 | 2 | 5 | 0 | 0 | 0 | 5 | 8 | 4 |
5 | Brennan Menell | Laval Rocket (MTL) | D | 72 | 11 | 24 | 35 | -38 | 35 | 5 | 203 | 123 | 204 | 66 | 127 | 5.39% | 60 | 1518 | 21.09 | 4 | 8 | 12 | 52 | 88 | 0 | 0 | 0 | 0 | 76 | 1 | 1 | 51.82% | 330 | 0 | 0 | 0 | 0 | 0.46 | 0 | 1 | 0 | 0 | 1 | 1 | 6 | 7 |
6 | Rudolfs Balcers | Montreal Canadiens | LW/RW | 14 | 12 | 15 | 27 | 14 | 0 | 0 | 12 | 32 | 92 | 29 | 54 | 13.04% | 6 | 360 | 25.77 | 1 | 1 | 2 | 4 | 34 | 0 | 0 | 0 | 0 | 33 | 3 | 0 | 85.71% | 21 | 0 | 0 | 0 | 2 | 1.50 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 0 |
7 | Kalle Kossila | Laval Rocket (MTL) | LW | 18 | 7 | 7 | 14 | -5 | 20 | 0 | 49 | 22 | 56 | 20 | 48 | 12.50% | 2 | 374 | 20.83 | 1 | 3 | 4 | 3 | 25 | 0 | 0 | 0 | 1 | 35 | 3 | 1 | 50.00% | 26 | 0 | 0 | 0 | 0 | 0.75 | 0 | 2 | 0 | 0 | 0 | 4 | 2 | 0 |
8 | Markus Niemelainen | Montreal Canadiens | D | 14 | 3 | 5 | 8 | -1 | 6 | 0 | 51 | 17 | 36 | 14 | 20 | 8.33% | 9 | 309 | 22.12 | 2 | 1 | 3 | 20 | 22 | 0 | 0 | 0 | 0 | 25 | 0 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.52 | 2 | 2 | 0 | 0 | 0 | 2 | 0 | 2 |
Statistiques d’équipe totales ou en moyenne | 402 | 132 | 172 | 304 | -121 | 297 | 25 | 1242 | 779 | 1285 | 413 | 878 | 10.27% | 372 | 8701 | 21.65 | 35 | 47 | 82 | 292 | 649 | 1 | 0 | 1 | 6 | 379 | 20 | 11 | 51.31% | 1912 | 0 | 0 | 1 | 3 | 0.70 | 10 | 29 | 2 | 1 | 2 | 42 | 47 | 42 |
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 |
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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 | Nom de l’équipe | POS | Âge | Date de naissance | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Type | Salaire actuel | Salaire restant | Plafond salarial Non Activé | 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 | Non-échange Année 2 | Non-échange Année 3 | Non-échange Année 4 | Non-échange Année 5 | Non-échange Année 6 | Non-échange Année 7 | Non-échange Année 8 | Non-échange Année 9 | Non-échange Année 10 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brennan Menell | Laval Rocket (MTL) | D | 26 | 5/24/1997 | Yes | 177 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |||
Brett Lernout | Laval Rocket (MTL) | D | 28 | 9/24/1995 | No | 214 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Christian Djoos | Laval Rocket (MTL) | D | 29 | 8/6/1994 | No | 180 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |||
Eric Comrie | Laval Rocket (MTL) | G | 28 | 7/6/1995 | No | 183 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Jeremy Bracco | Laval Rocket (MTL) | RW | 26 | 3/17/1997 | Yes | 181 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | Pro & Farm | 700,000$ | 0$ | 0$ | No | 700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
Kalle Kossila | Laval Rocket (MTL) | LW | 30 | 4/14/1993 | No | 182 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Matt Bartkowski | Laval Rocket (MTL) | D | 35 | 6/4/1988 | No | 201 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro & Farm | 700,000$ | 0$ | 0$ | No | 700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
Oskari Laaksonen | Laval Rocket (MTL) | D | 24 | 7/2/1999 | No | 172 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
8 | 28.25 | 186 Lbs | 6 ft1 | 2.00 | 771,875$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Brett Lernout | 38 | 1 | 2 | 2 | ||
2 | Christian Djoos | 30 | 1 | 2 | 2 | ||
3 | Oskari Laaksonen | 22 | 1 | 2 | 2 | ||
4 | Brennan Menell | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | Oskari Laaksonen | Brennan Menell | 30 | 1 | 2 | 2 | |
3 | Brett Lernout | Christian Djoos | 22 | 1 | 2 | 2 | |
4 | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Brett Lernout | 60 | 1 | 2 | 2 | ||
2 | Christian Djoos | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | Oskari Laaksonen | Brennan Menell | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Oskari Laaksonen | Brennan Menell | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | Oskari Laaksonen | Brennan Menell | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Oskari Laaksonen | Brennan Menell | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Brett Lernout |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Brett Lernout |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Brett Lernout, Christian Djoos, | Brett Lernout | Christian Djoos, |
Tirs de pénalité |
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, , , , |
Gardien |
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#1 : , #2 : |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
1 | Abbotsford Canucks | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 5 | 16 | -11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 57 | 37 | 59 | 10 | 74 | 508 | 544 | 546 | 68 | 84 | 16 | 25 | 59 | 14 | 3 | 21.43% | 10 | 3 | 70.00% | 0 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
2 | Belleville Senators | 12 | 5 | 4 | 0 | 0 | 0 | 3 | 0 | 40 | 37 | 3 | 6 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 19 | 18 | 1 | 6 | 2 | 2 | 0 | 0 | 0 | 2 | 0 | 21 | 19 | 2 | 16 | 0.667 | 40 | 59 | 99 | 0 | 0 | 57 | 37 | 59 | 10 | 321 | 508 | 544 | 546 | 68 | 319 | 89 | 75 | 287 | 24 | 6 | 25.00% | 34 | 6 | 82.35% | 1 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
3 | Bridgeport Islanders | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 14 | 14 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 8 | -2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 6 | 2 | 4 | 0.500 | 14 | 20 | 34 | 0 | 0 | 57 | 37 | 59 | 10 | 109 | 508 | 544 | 546 | 68 | 96 | 30 | 16 | 87 | 8 | 3 | 37.50% | 8 | 1 | 87.50% | 0 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
4 | Cleveland Monsters | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 4 | 11 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | -3 | 1 | 0.125 | 4 | 7 | 11 | 0 | 0 | 57 | 37 | 59 | 10 | 37 | 508 | 544 | 546 | 68 | 100 | 28 | 22 | 53 | 8 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
5 | Hartford Wolf Pack | 4 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 12 | 9 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 7 | 0.875 | 12 | 19 | 31 | 0 | 1 | 57 | 37 | 59 | 10 | 125 | 508 | 544 | 546 | 68 | 101 | 28 | 20 | 121 | 6 | 3 | 50.00% | 9 | 1 | 88.89% | 1 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
6 | Hershey Bears | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 57 | 37 | 59 | 10 | 44 | 508 | 544 | 546 | 68 | 47 | 25 | 8 | 40 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
7 | LeHigh Valley Phantoms | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 57 | 37 | 59 | 10 | 37 | 508 | 544 | 546 | 68 | 26 | 10 | 2 | 50 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
8 | Manitoba Moose | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 11 | 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 6 | 0.750 | 17 | 30 | 47 | 0 | 0 | 57 | 37 | 59 | 10 | 114 | 508 | 544 | 546 | 68 | 92 | 19 | 16 | 101 | 9 | 5 | 55.56% | 7 | 1 | 85.71% | 0 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
9 | Rochester Americans | 8 | 1 | 6 | 0 | 0 | 0 | 0 | 1 | 8 | 19 | -11 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 5 | 9 | -4 | 3 | 0.188 | 8 | 13 | 21 | 0 | 0 | 57 | 37 | 59 | 10 | 158 | 508 | 544 | 546 | 68 | 204 | 48 | 40 | 189 | 21 | 3 | 14.29% | 20 | 5 | 75.00% | 0 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
10 | Springfield Thunderbirds | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 1 | 57 | 37 | 59 | 10 | 68 | 508 | 544 | 546 | 68 | 38 | 10 | 8 | 49 | 7 | 2 | 28.57% | 4 | 0 | 100.00% | 0 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
11 | Syracuse Crunch | 8 | 1 | 6 | 0 | 0 | 0 | 0 | 1 | 7 | 39 | -32 | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 4 | 21 | -17 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 18 | -15 | 3 | 0.188 | 7 | 12 | 19 | 0 | 1 | 57 | 37 | 59 | 10 | 124 | 508 | 544 | 546 | 68 | 276 | 57 | 45 | 139 | 30 | 3 | 10.00% | 19 | 5 | 73.68% | 0 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
12 | Toronto Marlies | 8 | 4 | 1 | 0 | 0 | 0 | 2 | 1 | 22 | 18 | 4 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 8 | 0 | 4 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 14 | 10 | 4 | 13 | 0.813 | 22 | 31 | 53 | 0 | 0 | 57 | 37 | 59 | 10 | 262 | 508 | 544 | 546 | 68 | 157 | 64 | 26 | 176 | 10 | 2 | 20.00% | 7 | 1 | 85.71% | 0 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
13 | Utica Comets | 8 | 1 | 6 | 0 | 0 | 0 | 0 | 1 | 11 | 32 | -21 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 13 | -8 | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 6 | 19 | -13 | 3 | 0.188 | 11 | 14 | 25 | 0 | 1 | 57 | 37 | 59 | 10 | 133 | 508 | 544 | 546 | 68 | 217 | 43 | 43 | 150 | 27 | 4 | 14.81% | 17 | 5 | 70.59% | 0 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
14 | Wilkes-Barre/Scranton Penguins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 12 | -11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | -7 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 57 | 37 | 59 | 10 | 19 | 508 | 544 | 546 | 68 | 64 | 13 | 12 | 29 | 4 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
Total | 72 | 22 | 36 | 0 | 0 | 2 | 6 | 6 | 159 | 230 | -71 | 36 | 11 | 20 | 0 | 0 | 0 | 2 | 3 | 70 | 110 | -40 | 36 | 11 | 16 | 0 | 0 | 2 | 4 | 3 | 89 | 120 | -31 | 64 | 0.444 | 159 | 243 | 402 | 0 | 4 | 57 | 37 | 59 | 10 | 1625 | 508 | 544 | 546 | 68 | 1821 | 480 | 358 | 1530 | 177 | 37 | 20.90% | 157 | 32 | 79.62% | 2 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 | |
_Since Last GM Reset | 72 | 22 | 36 | 0 | 0 | 2 | 6 | 6 | 159 | 230 | -71 | 36 | 11 | 20 | 0 | 0 | 0 | 2 | 3 | 70 | 110 | -40 | 36 | 11 | 16 | 0 | 0 | 2 | 4 | 3 | 89 | 120 | -31 | 64 | 0.444 | 159 | 243 | 402 | 0 | 4 | 57 | 37 | 59 | 10 | 1625 | 508 | 544 | 546 | 68 | 1821 | 480 | 358 | 1530 | 177 | 37 | 20.90% | 157 | 32 | 79.62% | 2 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 | |
_Vs Conference | 62 | 21 | 28 | 0 | 0 | 1 | 6 | 6 | 145 | 199 | -54 | 31 | 10 | 16 | 0 | 0 | 0 | 2 | 3 | 63 | 96 | -33 | 31 | 11 | 12 | 0 | 0 | 1 | 4 | 3 | 82 | 103 | -21 | 61 | 0.492 | 145 | 220 | 365 | 0 | 3 | 57 | 37 | 59 | 10 | 1446 | 508 | 544 | 546 | 68 | 1599 | 426 | 303 | 1369 | 148 | 32 | 21.62% | 132 | 28 | 78.79% | 2 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 | |
_Vs Division | 26 | 10 | 11 | 0 | 0 | 0 | 5 | 2 | 55 | 86 | -31 | 13 | 5 | 7 | 0 | 0 | 0 | 2 | 0 | 24 | 38 | -14 | 13 | 5 | 4 | 0 | 0 | 0 | 3 | 2 | 31 | 48 | -17 | 32 | 0.615 | 55 | 82 | 137 | 0 | 2 | 57 | 37 | 59 | 10 | 504 | 508 | 544 | 546 | 68 | 651 | 177 | 123 | 530 | 62 | 13 | 20.97% | 56 | 11 | 80.36% | 1 | 782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% | 2004 | 1540 | 1601 | 406 | 779 | 412 |
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 |
72 | 64 | L2 | 159 | 243 | 402 | 1625 | 1821 | 480 | 358 | 1530 | 0 | 4 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
72 | 22 | 36 | 0 | 2 | 6 | 6 | 159 | 230 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
36 | 11 | 20 | 0 | 0 | 2 | 3 | 70 | 110 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
36 | 11 | 16 | 0 | 2 | 4 | 3 | 89 | 120 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 4 | 0 | 1 | 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 |
---|---|---|---|---|---|---|
177 | 37 | 20.90% | 157 | 32 | 79.62% | 2 |
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 |
---|---|---|---|---|---|---|---|
508 | 544 | 546 | 68 | 57 | 37 | 59 | 10 |
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 |
782 | 1602 | 48.81% | 598 | 1390 | 43.02% | 501 | 1031 | 48.59% |
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 |
2004 | 1540 | 1601 | 406 | 779 | 412 |
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 |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 67,725 | 34,599 |
Assistance PCT | 94.06% | 96.11% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
0 | 2842 - 94.74% | 94,707$ | 3,409,443$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
607,834$ | 617,500$ | 550,202$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
3,151$ | 607,834$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 3,151$ | 0$ |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|