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Toronto Marlies
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Bret Spencer | Morale : 60 | Moyenne d’équipe : 51
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralBret Spencer
EntraîneurChris Chelios
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 45
Espoirs5


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Benoit Olivier-Groulx (R)23X100.00565866616968666470636268555452060630244750,000$
2Connor McMichael24X100.00585576646364666068626163615554060620232863,333$
3Alexander Holtz22XX100.00595173637060585854616063555354060610223894,167$
4Owen Beck78X100.00543878527364524848565057515155060550203916,667$
5Josh Doan0X100.00515265535854535252525258515149060530221750,000$
6Brad Lambert90X100.00525164525854535152515255544948060530201750,000$
7Dmitri Buchelnikov (R)76X100.00454545454545454545454545454545060450204750,000$
8Nick Abruzzese (R)71X100.00454545454545454545454545454545060450242750,000$
9Jack Hughes (R)77X100.00454545454545454545454545454545060450204750,000$
10Collin Graf0X100.00454545454545454545454545454545060450251750,000$
11TOR CAP HIT0X100.001010101010101010101010101010100601002512,750,000$
12Dmitri Samorukov42X100.00555466606567645740575562565855060590241775,000$
13Helge Grans44X100.00555466586765635640565560545352060580211750,000$
14Jake Livingstone0X100.005438705275685450385750665151550605702512,001,667$
15William Wallinder0X100.00515165516251515138515157515149060530211750,000$
16Lane Hutson (R)58X100.00454545454545454545454545454545060450204750,000$
17Maveric Lamoureux (R)59X100.00454545454545454545454545454545060450204750,000$
18Larry Keenan0X100.00454545454545454545454545454545060450251750,000$
Rayé
MOYENNE D’ÉQUIPE100.0048465650555250484650495248474706050
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Cal Petersen36100.00676869737369696567687365580606802935,000,000$
2Sebastian Cossa1100.0051525273615160515252624948060550211750,000$
3Dryden Mckay38100.0051515259615163525452625953060550261750,000$
Rayé
1Sergei Ivanov (R)39100.0045454545454545454545454545060450204750,000$
2Yaniv Perets0100.0045454545454545454545454545060450251750,000$
MOYENNE D’ÉQUIPE100.005252535957525652535257535006054
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Chris Chelios75757575757575USA6130$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP 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
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS 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 Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alexander HoltzToronto Marlies (TOR)LW/RW2201/23/02No195 Lbs6 ft0NoNoN/ANoNo3Pro & Farm894,167$0$0$No894,167$894,167$-------NoNo-------Lien
Benoit Olivier-GroulxToronto Marlies (TOR)LW2402/06/00Yes194 Lbs6 ft2NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------Lien
Brad LambertToronto Marlies (TOR)C2012/19/03No183 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Cal Petersen (contrat à 1 volet)Toronto Marlies (TOR)G2910/19/94No185 Lbs6 ft2NoNoN/ANoNo3Pro & Farm5,000,000$5,000,000$3,571,429$No5,000,000$5,000,000$-------NoNo-------Lien
Collin GrafToronto Marlies (TOR)RW2508/16/98 5:00:27 AMNo190 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Connor McMichaelToronto Marlies (TOR)C2301/15/01No180 Lbs6 ft0NoNoN/ANoNo2Pro & Farm863,333$0$0$No863,333$--------No--------Lien
Dmitri BuchelnikovToronto Marlies (TOR)LW2009/06/03 3:11:57 AMYes168 Lbs5 ft10NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Dmitri SamorukovToronto Marlies (TOR)D2406/16/99No188 Lbs6 ft3NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien
Dryden MckayToronto Marlies (TOR)G2611/25/97No183 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Helge GransToronto Marlies (TOR)D2105/10/02No205 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Jack HughesToronto Marlies (TOR)C2011/02/03 4:49:47 AMYes170 Lbs6 ft0NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Jake Livingstone (contrat à 1 volet)Toronto Marlies (TOR)D2504/16/99No205 Lbs6 ft3NoNoN/ANoNo1Pro & Farm2,001,667$2,001,667$1,429,762$No------------------Lien
Josh DoanToronto Marlies (TOR)RW2202/01/02No183 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Lane HutsonToronto Marlies (TOR)D2002/14/04 3:23:42 AMYes148 Lbs5 ft9NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Larry KeenanToronto Marlies (TOR)D2508/16/98 5:00:47 AMNo190 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Maveric LamoureuxToronto Marlies (TOR)D2001/13/04 4:31:19 AMYes198 Lbs6 ft7NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Nick AbruzzeseToronto Marlies (TOR)C2410/11/99Yes161 Lbs5 ft9NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Owen BeckToronto Marlies (TOR)C2002/03/04No191 Lbs5 ft11NoNoN/ANoNo3Pro & Farm916,667$0$0$No916,667$916,667$-------NoNo-------Lien
Sebastian CossaToronto Marlies (TOR)G2111/21/02No209 Lbs6 ft6NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Sergei IvanovToronto Marlies (TOR)G2004/03/04 2:37:22 AMYes165 Lbs5 ft11NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
TOR CAP HITToronto Marlies (TOR)C2507/07/98 1:15:13 PMNo175 Lbs5 ft10NoNoN/ANoNo1Pro & Farm2,750,000$0$0$No------------------
William WallinderToronto Marlies (TOR)D2107/28/02No190 Lbs6 ft4NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Yaniv PeretsToronto Marlies (TOR)G2508/16/98 5:01:09 AMNo190 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2322.70185 Lbs6 ft12.131,095,688$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Benoit Olivier-GroulxConnor McMichael30122
2Alexander Holtz30122
3Dmitri BuchelnikovNick Abruzzese25122
415122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maveric Lamoureux30122
2Helge Grans30122
325122
4Maveric Lamoureux15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Benoit Olivier-GroulxConnor McMichael60122
2Alexander Holtz40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maveric Lamoureux60122
2Helge Grans40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Connor McMichael60122
2Benoit Olivier-GroulxAlexander Holtz40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maveric Lamoureux60122
2Helge Grans40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Connor McMichael60122Maveric Lamoureux60122
240122Helge Grans40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Connor McMichael60122
2Benoit Olivier-GroulxAlexander Holtz40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maveric Lamoureux60122
2Helge Grans40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Benoit Olivier-GroulxConnor McMichaelMaveric Lamoureux
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Benoit Olivier-GroulxConnor McMichaelMaveric Lamoureux
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander Holtz, , Alexander Holtz, Alexander Holtz
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Helge Grans, Helge Grans,
Tirs de pénalité
Connor McMichael, , Benoit Olivier-Groulx, Alexander Holtz,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
Connor McMichael, , Benoit Olivier-Groulx, Alexander Holtz, , Nick Abruzzese, Nick Abruzzese, , , Dmitri Buchelnikov,
Lignes de défense personnalisées en prolongation
, Maveric Lamoureux, , Helge Grans,


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité45003500
Prix des billets350
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 0 - 0%0$0$8000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,819,917$ 1,294,917$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 10 0$ 0$




Toronto Marlies Leaders statistiques des joueurs (saison régulière)

# 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

Toronto Marlies Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Toronto Marlies Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Toronto Marlies Leaders statistiques des joueurs (séries éliminatoires)

# 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

Toronto Marlies Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA