Hershey Bears | |
GP: 32 | W: 7 | L: 24 | OTL: 1 | P: 15 GF: 64 | GA: 130 | PP%: 9.30% | PK%: 76.79% DG: Ledge | Morale : 50 | Moyenne d’équipe : N/A Prochains matchs #497 vs San Jose Barracuda |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | Brandon Sutter | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 35 | 2 | 1,125,000$ | ||||
2 | Lukas Sedlak | X | X | X | 100.00 | 40 | 35 | 40 | 65 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 70 | 72 | 11 | 50 | 0 | 0 | 31 | 3 | 900,000$ | ||
3 | Nicolas Aube-Kubel | X | 100.00 | 78 | 62 | 80 | 66 | 76 | 79 | 83 | 64 | 57 | 63 | 60 | 62 | 61 | 69 | 70 | 60 | 50 | 0 | 0 | 28 | 3 | 1,000,000$ | ||||
4 | Janne Kuokkanen | X | X | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 26 | 2 | 1,600,000$ | ||
5 | Mitchell Stephens | X | 100.00 | 65 | 38 | 84 | 63 | 75 | 82 | 86 | 61 | 70 | 62 | 60 | 66 | 63 | 67 | 69 | 66 | 47 | 0 | 0 | 27 | 1 | 775,000$ | ||||
6 | Oskar Steen (R) | X | 100.00 | 70 | 37 | 88 | 62 | 70 | 81 | 84 | 61 | 65 | 58 | 63 | 60 | 62 | 67 | 68 | 47 | 50 | 0 | 0 | 26 | 1 | 925,000$ | ||||
7 | Michael Stone | X | 100.00 | 40 | 35 | 40 | 66 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 78 | 74 | 11 | 26 | 0 | 0 | 34 | 2 | 750,000$ | ||||
8 | Carl Dahlstrom | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 29 | 3 | 750,000$ | ||||
9 | Ryan Merkley | X | 100.00 | 40 | 35 | 40 | 66 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 63 | 65 | 11 | 50 | 0 | 0 | 24 | 1 | 925,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 50 | 39 | 55 | 56 | 48 | 80 | 88 | 47 | 35 | 47 | 47 | 48 | 41 | 54 | 55 | 27 | 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 | Dustin Wolf (R) | 100.00 | 74 | 99 | 87 | 70 | 75 | 67 | 68 | 68 | 68 | 57 | 78 | 63 | 70 | 59 | 47 | 0 | 0 | 23 | 4 | 775,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 74 | 99 | 87 | 70 | 75 | 67 | 68 | 68 | 68 | 57 | 78 | 63 | 70 | 59 | 47 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
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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 | 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 |
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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 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 | Pays | 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 | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond 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 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 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 |
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Brandon Sutter | Hershey Bears (WAS) | C | 35 | 1989-02-14 | USA | No | 190 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,125,000$ | 713,273$ | 0$ | 0$ | No | 1,125,000$ | - | - | - | - | - | - | - | - | 1,125,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Carl Dahlstrom | Hershey Bears (WAS) | D | 29 | 1995-01-28 | SWE | No | 229 Lbs | 6 ft5 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 750,000$ | 475,515$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Dustin Wolf | Hershey Bears (WAS) | G | 23 | 2001-04-16 | USA | Yes | 166 Lbs | 6 ft0 | No | No | N/A | No | No | 4 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 491,366$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | |
Janne Kuokkanen | Hershey Bears (WAS) | C/LW/RW | 26 | 1998-05-25 | FIN | No | 193 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,600,000$ | 1,014,433$ | 0$ | 0$ | No | 1,600,000$ | - | - | - | - | - | - | - | - | 1,600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Lukas Sedlak | Hershey Bears (WAS) | C/LW/RW | 31 | 1993-02-25 | CZE | No | 205 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 900,000$ | 570,619$ | 0$ | 0$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Michael Stone | Hershey Bears (WAS) | D | 34 | 1990-06-07 | CAN | No | 210 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 475,515$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Mitchell Stephens | Hershey Bears (WAS) | C | 27 | 1997-02-05 | CAN | No | 203 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 491,366$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Nicolas Aube-Kubel | Hershey Bears (WAS) | RW | 28 | 1996-05-10 | CAN | No | 207 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,000,000$ | 634,021$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Oskar Steen | Hershey Bears (WAS) | C | 26 | 1998-03-09 | SWE | Yes | 196 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 586,469$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Ryan Merkley | Hershey Bears (WAS) | D | 24 | 2000-08-14 | CAN | No | 186 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 586,469$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
10 | 28.30 | 199 Lbs | 6 ft1 | 2.20 | 952,500$ |
Attaque à 5 contre 5 | |||||||
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Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 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 | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
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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 | 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 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
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Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
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Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
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Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
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 | Bridgeport Islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 20 | 26 | 16 | 2 | 39 | 265 | 299 | 241 | 4 | 55 | 11 | 6 | 23 | 0 | 0 | 0% | 2 | 1 | 50.00% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
2 | Charlotte Checkers | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 11 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 20 | 26 | 16 | 2 | 96 | 265 | 299 | 241 | 4 | 130 | 31 | 8 | 84 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
3 | Chicago Wolves | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 4 | 20 | -16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | -10 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 20 | 26 | 16 | 2 | 71 | 265 | 299 | 241 | 4 | 148 | 55 | 18 | 60 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
4 | Cleveland Monsters | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 20 | 26 | 16 | 2 | 34 | 265 | 299 | 241 | 4 | 51 | 22 | 2 | 23 | 1 | 1 | 100.00% | 1 | 1 | 0.00% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
5 | Colorado Eagles | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 20 | 26 | 16 | 2 | 24 | 265 | 299 | 241 | 4 | 51 | 15 | 4 | 27 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
6 | Henderson Silver Knights | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 20 | 26 | 16 | 2 | 4 | 265 | 299 | 241 | 4 | 29 | 11 | 2 | 12 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
7 | Iowa Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 20 | 26 | 16 | 2 | 9 | 265 | 299 | 241 | 4 | 52 | 14 | 4 | 6 | 0 | 0 | 0% | 3 | 1 | 66.67% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
8 | Laval Rocket | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 20 | 26 | 16 | 2 | 34 | 265 | 299 | 241 | 4 | 21 | 7 | 0 | 15 | 2 | 1 | 50.00% | 0 | 0 | 0% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
9 | LeHigh Valley Phantoms | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1.000 | 12 | 24 | 36 | 0 | 0 | 20 | 26 | 16 | 2 | 102 | 265 | 299 | 241 | 4 | 99 | 24 | 4 | 90 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
10 | Manitoba Moose | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 20 | 26 | 16 | 2 | 86 | 265 | 299 | 241 | 4 | 87 | 26 | 6 | 60 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 1 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
11 | Providence Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 20 | 26 | 16 | 2 | 27 | 265 | 299 | 241 | 4 | 51 | 21 | 8 | 30 | 0 | 0 | 0% | 4 | 1 | 75.00% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
12 | Rockford IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 20 | 26 | 16 | 2 | 38 | 265 | 299 | 241 | 4 | 35 | 8 | 2 | 21 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
13 | San Diego Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 20 | 26 | 16 | 2 | 29 | 265 | 299 | 241 | 4 | 39 | 12 | 6 | 25 | 2 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
14 | San Jose Barracuda | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 20 | 26 | 16 | 2 | 12 | 265 | 299 | 241 | 4 | 48 | 12 | 2 | 13 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
15 | Springfield Thunderbirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 20 | 26 | 16 | 2 | 15 | 265 | 299 | 241 | 4 | 44 | 24 | 4 | 6 | 0 | 0 | 0% | 2 | 0 | 100.00% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
16 | Syracuse Crunch | 4 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 14 | 15 | -1 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 9 | -1 | 4 | 0.500 | 14 | 28 | 42 | 0 | 0 | 20 | 26 | 16 | 2 | 107 | 265 | 299 | 241 | 4 | 186 | 53 | 20 | 85 | 3 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
17 | Texas Stars | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 20 | 26 | 16 | 2 | 25 | 265 | 299 | 241 | 4 | 66 | 27 | 11 | 36 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
18 | Toronto Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 20 | 26 | 16 | 2 | 37 | 265 | 299 | 241 | 4 | 38 | 9 | 2 | 30 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
19 | Wilkes-Barre/Scranton Penguins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 20 | 26 | 16 | 2 | 20 | 265 | 299 | 241 | 4 | 86 | 20 | 8 | 17 | 7 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
Total | 32 | 5 | 24 | 0 | 2 | 1 | 0 | 0 | 64 | 130 | -66 | 15 | 3 | 10 | 0 | 1 | 1 | 0 | 0 | 30 | 53 | -23 | 17 | 2 | 14 | 0 | 1 | 0 | 0 | 0 | 34 | 77 | -43 | 15 | 0.234 | 64 | 125 | 189 | 0 | 0 | 20 | 26 | 16 | 2 | 809 | 265 | 299 | 241 | 4 | 1316 | 402 | 117 | 663 | 43 | 4 | 9.30% | 56 | 13 | 76.79% | 1 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 | |
_Since Last GM Reset | 32 | 5 | 24 | 0 | 2 | 1 | 0 | 0 | 64 | 130 | -66 | 15 | 3 | 10 | 0 | 1 | 1 | 0 | 0 | 30 | 53 | -23 | 17 | 2 | 14 | 0 | 1 | 0 | 0 | 0 | 34 | 77 | -43 | 15 | 0.234 | 64 | 125 | 189 | 0 | 0 | 20 | 26 | 16 | 2 | 809 | 265 | 299 | 241 | 4 | 1316 | 402 | 117 | 663 | 43 | 4 | 9.30% | 56 | 13 | 76.79% | 1 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 | |
_Vs Conference | 22 | 4 | 16 | 0 | 2 | 0 | 0 | 0 | 49 | 85 | -36 | 11 | 3 | 7 | 0 | 1 | 0 | 0 | 0 | 27 | 36 | -9 | 11 | 1 | 9 | 0 | 1 | 0 | 0 | 0 | 22 | 49 | -27 | 12 | 0.273 | 49 | 97 | 146 | 0 | 0 | 20 | 26 | 16 | 2 | 619 | 265 | 299 | 241 | 4 | 901 | 257 | 80 | 494 | 27 | 3 | 11.11% | 39 | 8 | 79.49% | 1 | 277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% | 494 | 333 | 1089 | 220 | 342 | 140 |
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 |
32 | 15 | W1 | 64 | 125 | 189 | 809 | 1316 | 402 | 117 | 663 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
32 | 5 | 24 | 2 | 1 | 0 | 0 | 64 | 130 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
15 | 3 | 10 | 1 | 1 | 0 | 0 | 30 | 53 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
17 | 2 | 14 | 1 | 0 | 0 | 0 | 34 | 77 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
2 | 8 | 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 |
---|---|---|---|---|---|---|
43 | 4 | 9.30% | 56 | 13 | 76.79% | 1 |
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 |
---|---|---|---|---|---|---|---|
265 | 299 | 241 | 4 | 20 | 26 | 16 | 2 |
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 |
277 | 628 | 44.11% | 316 | 861 | 36.70% | 203 | 478 | 42.47% |
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 |
494 | 333 | 1089 | 220 | 342 | 140 |
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 | 28,580 | 14,357 |
Assistance PCT | 95.27% | 95.71% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
21 | 2862 - 95.42% | 95,632$ | 1,434,473$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
328,335$ | 952,500$ | 850,202$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
4,910$ | 328,335$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
2,008,262$ | 123 | 4,910$ | 603,930$ |
# | 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
# | 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 |
---|