Connexion

Toronto Marlies
GP: 67 | W: 32 | L: 29 | OTL: 6 | P: 70
GF: 186 | GA: 185 | PP%: 17.03% | PK%: 84.87%
DG: Zdenek Jirgala | Morale : 50 | Moyenne d’équipe : 55
Prochains matchs #1090 vs Hershey Bears
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Centre de jeu
Chicago Wolves
32-28-8, 72pts
1
FINAL
3 Toronto Marlies
32-29-6, 70pts
Team Stats
L4SéquenceW2
19-13-3Fiche domicile15-14-4
13-15-5Fiche domicile17-15-2
4-6-0Derniers 10 matchs5-5-0
3.15Buts par match 2.78
3.19Buts contre par match 2.76
12.75%Pourcentage en avantage numérique17.03%
80.26%Pourcentage en désavantage numérique84.87%
Toronto Marlies
32-29-6, 70pts
5
FINAL
2 Lehigh Valley Phantoms
34-26-9, 77pts
Team Stats
W2SéquenceL1
15-14-4Fiche domicile19-12-4
17-15-2Fiche domicile15-14-5
5-5-0Derniers 10 matchs4-4-2
2.78Buts par match 2.61
2.76Buts contre par match 2.43
17.03%Pourcentage en avantage numérique17.61%
84.87%Pourcentage en désavantage numérique85.19%
Toronto Marlies
32-29-6, 70pts
Jour 134
Hershey Bears
33-25-9, 75pts
Statistiques d’équipe
W2SéquenceL2
15-14-4Fiche domicile14-15-3
17-15-2Fiche visiteur19-10-6
5-5-010 derniers matchs5-5-0
2.78Buts par match 2.46
2.76Buts contre par match 2.46
17.03%Pourcentage en avantage numérique19.87%
84.87%Pourcentage en désavantage numérique81.53%
Bakersfield Condors
38-19-8, 84pts
Jour 136
Toronto Marlies
32-29-6, 70pts
Statistiques d’équipe
W1SéquenceW2
19-9-5Fiche domicile15-14-4
19-10-3Fiche visiteur17-15-2
7-2-110 derniers matchs5-5-0
3.45Buts par match 2.78
3.03Buts contre par match 2.78
23.93%Pourcentage en avantage numérique17.03%
77.39%Pourcentage en désavantage numérique84.87%
Hershey Bears
33-25-9, 75pts
Jour 139
Toronto Marlies
32-29-6, 70pts
Statistiques d’équipe
L2SéquenceW2
14-15-3Fiche domicile15-14-4
19-10-6Fiche visiteur17-15-2
5-5-010 derniers matchs5-5-0
2.46Buts par match 2.78
2.66Buts contre par match 2.78
19.87%Pourcentage en avantage numérique17.03%
81.53%Pourcentage en désavantage numérique84.87%
Meneurs d'équipe
Julien GauthierButs
Julien Gauthier
29
Fabian ZetterlundPasses
Fabian Zetterlund
37
Fabian ZetterlundPoints
Fabian Zetterlund
64
Brett SeneyPlus/Moins
Brett Seney
30
Jonas JohanssonVictoires
Jonas Johansson
26
Jonas JohanssonPourcentage d’arrêts
Jonas Johansson
0.902

Statistiques d’équipe
Buts pour
186
2.78 GFG
Tirs pour
1784
26.63 Avg
Pourcentage en avantage numérique
17.0%
31 GF
Début de zone offensive
39.6%
Buts contre
185
2.76 GAA
Tirs contre
1772
26.45 Avg
Pourcentage en désavantage numérique
84.9%%
23 GA
Début de la zone défensive
39.6%
Informations de l'équipe

Directeur généralZdenek Jirgala
DivisionNorth Division
ConférenceEastern Conference
CapitaineAdam Cracknell
Assistant #1Seth Helgeson
Assistant #2Fabian Zetterlund


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure21
Limite contact 48 / 80
Espoirs21


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
1Fabian Zetterlund (R) (A)X100.006837827177758767556757646160510506302411,000,000$
2Julien GauthierX100.00794080678567826353566363636455050620251900,000$
3Brett SeneyXX100.00704370696175616558515364676657050590271900,000$
4Adam Cracknell (C)XX100.00625560618250575736565658558878050580382700,000$
5Alex Steeves (R)XXX100.00663680697365606450515058596051050570232700,000$
6Gabriel Fortier (R)XX100.00663777686666606250515058605849050560231600,000$
7Shane Bowers (R)XX100.00603682697455605650515058596050050560247100,000$
8Michael MerschX100.00523582597945575535545455547466050550301600,000$
9Shane HarperX100.00573574607150605337535156518072050550341600,000$
10Isak RosenXXX100.00543585646742575335525255605243050530209100,000$
11Xavier BourgaultX100.00533584636841585242515256595445050530209100,000$
12John AlbertX100.00513573536844554330444255498072050510341600,000$
13Kyle CapobiancoX100.00654864687771635430515762546454050590261900,000$
14Daniel WalcottXX100.00636060627051595132505258547061050560293100,000$
15Paul LaDueX100.00583577537954594330444062497465050550312900,000$
16William TrudeauX100.00604274597350584930504762555445050550209100,000$
17Andy WelinskiX100.00543684567650544730484461497263050550302900,000$
18Seth Helgeson (A)X100.00605270518451474330444161487870050550322900,000$
Rayé
1Bobby McMannX92.35713782677970625951535058626657050580271800,000$
2Roni HirvonenXX100.004444444544444445444444444450500504502110100,000$
3Jason DemersX79.497152666675686049305155675282770506103521,200,000$
4Xavier OuelletX100.00593578577355604630484259537263050550302900,000$
5Brycen MartinX100.00563577527655544230434156476657050530279100,000$
MOYENNE D’ÉQUIPE98.7461417461735660533951505955675905056
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
1Jonas Johansson99.00635956876665616364646068600505902821,100,000$
2Chase Perry100.0055484577555253545654556659050540271100,000$
Rayé
1Vyacheslav Peksa100.00404040404040404040404050500504302110100,000$
2Chase Clark100.0033333333333333333333335050050390219100,000$
MOYENNE D’ÉQUIPE99.754845445949484748484847595505049
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Fabian ZetterlundToronto Marlies (TOR)LW6427376428100401282227815612.16%14149323.343252815110131149249.04%36500000.8623000595
2Julien GauthierToronto Marlies (TOR)RW6729356426380153882065614414.08%11146121.8273102314901141255253.14%17500010.8813000477
3Brett SeneyToronto Marlies (TOR)C/LW6723355830100861441755512213.14%15125818.7911011301600007701550.16%156700110.9212000723
4Kyle CapobiancoToronto Marlies (TOR)D6792837-3340965910329668.74%57134920.14571239151011194110%000000.5501000121
5Shane BowersToronto Marlies (TOR)C/RW67102333-3180478211443938.77%11103115.40011740000131147.80%31800000.6400000142
6Alex SteevesToronto Marlies (TOR)C/LW/RW63141630-22240619715530899.03%8111617.735510261060002371049.24%26400000.5400000133
7Bobby McMannToronto Marlies (TOR)C5872128-262357111312023925.83%9107118.472911211200001812050.98%111800000.5201001210
8Adam CracknellToronto Marlies (TOR)C/RW67111526-3145151096511128759.91%11113616.9615615134000172048.56%20800000.4601201110
9Colton WhiteMaple LeafsD5791625-6160634770224612.86%70116220.40461029115000094220%000000.4300000002
10Daniel WalcottToronto Marlies (TOR)LW/D672182010481076424624334.35%44101815.210334570001491042.86%1400000.3900101101
11Taylor FedunMaple LeafsD6671320-4120604868194410.29%68136320.6612325137000171110%100000.2900000101
12Jason DemersToronto Marlies (TOR)D47414183375100444522428.89%54104422.2113419109000067200%000000.3400001031
13Gabriel FortierToronto Marlies (TOR)C/LW568917-10120648611624786.90%783414.910002210000161147.65%68200000.4100000122
14Michael MerschToronto Marlies (TOR)LW6612517-1160213484317614.29%584612.83000050000110034.33%6700000.4011000200
15Paul LaDueToronto Marlies (TOR)D5821012-112054211221316.67%3274612.86000120000055000%000000.3200000002
16Shane HarperToronto Marlies (TOR)RW674812-10028356225406.45%579211.830001160000321041.76%9100000.3000000001
17William TrudeauToronto Marlies (TOR)D513811-824060302041915.00%3881015.89101428000152000%000000.2700000000
18Xavier OuelletToronto Marlies (TOR)D43088560361311560%2243210.0600000000020000%000000.3700000000
19Isak RosenToronto Marlies (TOR)C/LW/RW223361206152081215.00%126311.980222230000200044.74%3800000.4600000010
20Andy WelinskiToronto Marlies (TOR)D2212340041043925.00%31838.350001200007100%000000.3300000000
21Seth HelgesonToronto Marlies (TOR)D30022-414030127320%2132210.7400002000020000%100000.1200000000
22Xavier BourgaultToronto Marlies (TOR)C24011-400312123130%01466.09000000002110037.06%14300000.1400000000
23Brycen MartinToronto Marlies (TOR)D1000000000000%077.830000000000000%00000000000000
24John AlbertToronto Marlies (TOR)C9000100131110%2273.0900002000000033.33%120000000000000
Statistiques d’équipe totales ou en moyenne1206185327512-3638135126912281784538127110.37%5081992416.523158892771560123251064311548.91%506400120.51512304273531
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
1Jonas JohanssonToronto Marlies (TOR)53262040.9022.6030960313413730000.455115016430
2Chase PerryToronto Marlies (TOR)176920.8793.049460048398001001750100
Statistiques d’équipe totales ou en moyenne70322960.8972.704042031821771001116766530


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 Salaire restantPlafond 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
Adam CracknellToronto Marlies (TOR)C/RW3807.07.1985No216 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$122,500$0$0$No700,000$--------No--------Lien NHL
Alex SteevesToronto Marlies (TOR)C/LW/RW2307.07.2000Yes196 Lbs6 ft0NoNoN/ANoNo2Pro & Farm700,000$122,500$0$0$No700,000$--------No--------Lien NHL
Andy WelinskiToronto Marlies (TOR)D3007.07.1993No201 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$157,500$0$0$No900,000$--------No--------Lien NHL
Bobby McMannToronto Marlies (TOR)C2707.07.1996No208 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$140,000$0$0$No------------------Lien NHL
Brett SeneyToronto Marlies (TOR)C/LW2707.07.1996No156 Lbs5 ft9NoNoN/ANoNo1Pro & Farm900,000$157,500$0$0$No------------------Lien NHL
Brycen MartinToronto Marlies (TOR)D2707.07.1996No194 Lbs6 ft2NoNoN/ANoNo9Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Chase ClarkToronto Marlies (TOR)G2107.07.2002 15:01:28No218 Lbs6 ft6NoNoN/ANoNo9Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Chase PerryToronto Marlies (TOR)G2707.07.1996No190 Lbs6 ft3NoNoN/ANoNo1Farm Only100,000$17,500$0$0$No------------------
Daniel WalcottToronto Marlies (TOR)LW/D2907.07.1994No174 Lbs6 ft1NoNoN/ANoNo3Farm Only100,000$17,500$0$0$No100,000$100,000$-------NoNo-------Lien NHL
Fabian ZetterlundToronto Marlies (TOR)LW2407.07.1999Yes220 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,000,000$175,000$0$0$No------------------Lien NHL
Gabriel FortierToronto Marlies (TOR)C/LW2307.07.2000Yes177 Lbs5 ft10NoNoN/ANoNo1Pro & Farm600,000$105,000$0$0$No------------------Lien NHL
Isak RosenToronto Marlies (TOR)C/LW/RW2007.07.2003No174 Lbs5 ft11NoNoN/ANoNo9Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Jason DemersToronto Marlies (TOR)D3507.07.1988No195 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,200,000$210,000$0$0$No1,200,000$--------No--------
John AlbertToronto Marlies (TOR)C3407.07.1989No179 Lbs5 ft11NoNoN/ANoNo1Pro & Farm600,000$105,000$0$0$No------------------
Jonas JohanssonToronto Marlies (TOR)G2807.07.1995No220 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,100,000$192,500$0$0$No1,100,000$--------No--------Lien NHL
Julien GauthierToronto Marlies (TOR)RW2507.07.1998No224 Lbs6 ft4NoNoN/ANoNo1Pro & Farm900,000$157,500$0$0$No------------------Lien NHL
Kyle CapobiancoToronto Marlies (TOR)D2607.07.1997No201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$157,500$0$0$No------------------Lien NHL
Michael MerschToronto Marlies (TOR)LW3007.07.1993No209 Lbs6 ft2NoNoN/ANoNo1Pro & Farm600,000$105,000$0$0$No------------------Lien NHL
Paul LaDueToronto Marlies (TOR)D3107.07.1992No201 Lbs6 ft3NoNoN/ANoNo2Pro & Farm900,000$157,500$0$0$No900,000$--------No--------Lien NHL
Roni HirvonenToronto Marlies (TOR)LW/RW2107.07.2002 2:32:14No179 Lbs5 ft10NoNoN/ANoNo10Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Seth HelgesonToronto Marlies (TOR)D3207.07.1991No220 Lbs6 ft4NoNoN/ANoNo2Pro & Farm900,000$157,500$0$0$No900,000$--------No--------Lien NHL
Shane BowersToronto Marlies (TOR)C/RW2407.07.1999Yes186 Lbs6 ft2NoNoN/ANoNo7Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$---NoNoNoNoNoNo---Lien NHL
Shane HarperToronto Marlies (TOR)RW3407.07.1989No183 Lbs6 ft0NoNoN/ANoNo1Pro & Farm600,000$105,000$0$0$No------------------
Vyacheslav PeksaToronto Marlies (TOR)G2107.07.2002 2:33:11No179 Lbs6 ft3NoNoN/ANoNo10Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
William TrudeauToronto Marlies (TOR)D2007.07.2003No187 Lbs6 ft1NoNoN/ANoNo9Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Xavier BourgaultToronto Marlies (TOR)C2007.07.2003No172 Lbs6 ft0NoNoN/ANoNo9Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Xavier OuelletToronto Marlies (TOR)D3007.07.1993No196 Lbs6 ft0NoNoN/ANoNo2Pro & Farm900,000$157,500$0$0$No900,000$--------No--------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2726.93195 Lbs6 ft13.74562,963$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fabian ZetterlundBrett SeneyJulien Gauthier40122
2Alex SteevesAdam CracknellShane Bowers30122
3Michael MerschGabriel FortierShane Harper20122
4Isak RosenXavier BourgaultFabian Zetterlund10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoDaniel Walcott40122
2William TrudeauSeth Helgeson30122
3Andy WelinskiPaul LaDue20122
4Kyle CapobiancoDaniel Walcott10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fabian ZetterlundBrett SeneyJulien Gauthier60122
2Alex SteevesAdam CracknellShane Bowers40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoDaniel Walcott60122
2William TrudeauSeth Helgeson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Fabian ZetterlundJulien Gauthier60122
2Brett SeneyAdam Cracknell40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoDaniel Walcott60122
2William TrudeauSeth Helgeson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Fabian Zetterlund60122Kyle CapobiancoDaniel Walcott60122
2Julien Gauthier40122William TrudeauSeth Helgeson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Fabian ZetterlundJulien Gauthier60122
2Brett SeneyAdam Cracknell40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoDaniel Walcott60122
2William TrudeauSeth Helgeson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian ZetterlundBrett SeneyJulien GauthierKyle CapobiancoDaniel Walcott
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian ZetterlundBrett SeneyJulien GauthierKyle CapobiancoDaniel Walcott
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
John Albert, Gabriel Fortier, Michael MerschJohn Albert, Gabriel FortierMichael Mersch
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Andy Welinski, Paul LaDue, William TrudeauAndy WelinskiPaul LaDue, William Trudeau
Tirs de pénalité
Fabian Zetterlund, Julien Gauthier, Brett Seney, Adam Cracknell, Alex Steeves
Gardien
#1 : Jonas Johansson, #2 : Chase Perry


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
1Abbotsford Canucks200011006601000010034-11000100032130.7506111700745551104657660957734541812369111.11%5180.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
2Bakersfield Condors10000010431000000000001000001043121.0004610007455511033576609577342312426300.00%20100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
3Belleville Senators41201000121202020000047-32100100085340.50012203200745551101045766095773411333198315320.00%7185.71%0985200749.08%963200348.08%529105450.19%158710901575500888442
4Bridgeport Islanders3120000058-3110000002112020000037-420.333571200745551108457660957734812614586116.67%7185.71%0985200749.08%963200348.08%529105450.19%158710901575500888442
5Calgary Wranglers22000000633110000004221100000021141.000612180074555110605766095773446151033400.00%5180.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
6Charlotte Checkers2110000068-21010000036-31100000032120.500611170074555110425766095773456914285240.00%7271.43%0985200749.08%963200348.08%529105450.19%158710901575500888442
7Chicago Wolves21100000541211000005410000000000020.500581300745551105357660957734731010347114.29%30100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
8Cleveland Monsters30300000811-31010000023-12020000068-200.000814220074555110675766095773495421658400.00%7185.71%0985200749.08%963200348.08%529105450.19%158710901575500888442
9Coachella Valley Firebirds220000001064110000004221100000064241.0001017270074555110555766095773454128246116.67%4175.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
10Colorado Eagles2010010046-21000010023-11010000023-110.250471100745551104957660957734531221426116.67%8187.50%0985200749.08%963200348.08%529105450.19%158710901575500888442
11Grand Rapids Griffins2110000045-11010000013-21100000032120.50047110074555110515766095773451128464125.00%3166.67%0985200749.08%963200348.08%529105450.19%158710901575500888442
12Hartford Wolf Pack30300000612-62020000038-51010000034-100.000691500745551107257660957734772144912216.67%2150.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
13Henderson Silver Knights2020000047-31010000023-11010000024-200.0004711007455511055576609577343581648100.00%8187.50%0985200749.08%963200348.08%529105450.19%158710901575500888442
14Hershey Bears11000000211000000000001100000021121.00024600745551103157660957734227014500.00%000%0985200749.08%963200348.08%529105450.19%158710901575500888442
15Iowa Wild21100000440110000003211010000012-120.50048120074555110585766095773452201419100.00%70100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
16Laval Rocket22000000844110000004131100000043141.0008152300745551106557660957734459841200.00%40100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
17Lehigh Valley Phantoms31200000810-21010000015-42110000075220.3338132100745551107757660957734662118538112.50%8275.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
18Manitoba Moose21100000910-1110000009721010000003-320.5009142300745551104757660957734511712447342.86%5180.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
19Milwaukee Admirals21100000321110000002021010000012-120.50036901745551105857660957734451510267114.29%50100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
20Ontario Reign21000001761110000003121000000145-130.75071421007455511062576609577344718633800.00%30100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
21Providence Bruins4120100011110211000005502010100066040.50011213200745551101235766095773410933589413215.38%11554.55%0985200749.08%963200348.08%529105450.19%158710901575500888442
22Rochester Americans3010100179-22010100056-11000000123-130.50071320007455511086576609577349423166011327.27%70100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
23Rockford IceHogs2020000047-31010000012-11010000035-200.000459007455511039576609577345714428800.00%20100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
24San Diego Gulls21100000660110000004221010000024-220.500610161074555110505766095773456812346116.67%50100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
25San Jose Barracuda21001000752100010005411100000021141.000713200074555110545766095773452164475240.00%20100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
26Springfield Thunderbirds210001004401000010023-11100000021130.750471100745551106557660957734681714305120.00%7271.43%0985200749.08%963200348.08%529105450.19%158710901575500888442
27Syracuse Crunch210001005501000010023-11100000032130.75058130074555110495766095773447151648100.00%6183.33%0985200749.08%963200348.08%529105450.19%158710901575500888442
28Texas Stars22000000606110000004041100000020241.0006121802745551105257660957734441110418225.00%40100.00%1985200749.08%963200348.08%529105450.19%158710901575500888442
29Tucson Roadrunners2020000057-21010000023-11010000034-100.000591400745551104057660957734521911494125.00%20100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
30W-B/Scranton Penguins220000001037110000006151100000042241.000101929007455511057576609577345415124311100.00%60100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
Total6726290541218618513313140240093912341315030129394-1700.5221863275131374555110178457660957734177250838112691823117.03%1522384.87%1985200749.08%963200348.08%529105450.19%158710901575500888442
_Since Last GM Reset6726290541218618513313140240093912341315030129394-1700.5221863275131374555110178457660957734177250838112691823117.03%1522384.87%1985200749.08%963200348.08%529105450.19%158710901575500888442
_Vs Conference3613180310197103-618511011004353-1018870200154504340.47297169266007455511096157660957734983276213709941718.09%781580.77%0985200749.08%963200348.08%529105450.19%158710901575500888442
_Vs Division1777031014449-5826011001922-3951020012527-2220.64744741180074555110441576609577344681427430943613.95%33584.85%0985200749.08%963200348.08%529105450.19%158710901575500888442

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6770W218632751317841772508381126913
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6726295412186185
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
33131424009391
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
34131530129394
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1823117.03%1522384.87%1
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
5766095773474555110
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
985200749.08%963200348.08%529105450.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
158710901575500888442


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
13Laval Rocket1Toronto Marlies4BWSommaire du match
429Iowa Wild2Toronto Marlies3BWSommaire du match
643Rockford IceHogs2Toronto Marlies1BLSommaire du match
966Toronto Marlies3Charlotte Checkers2AWSommaire du match
1072Toronto Marlies3Syracuse Crunch2AWSommaire du match
1288Toronto Marlies2Hershey Bears1AWSommaire du match
14110Toronto Marlies2Texas Stars0AWSommaire du match
15120Toronto Marlies1Milwaukee Admirals2ALSommaire du match
17134Ontario Reign1Toronto Marlies3BWSommaire du match
19144Toronto Marlies3Providence Bruins2AWXSommaire du match
21163Rochester Americans2Toronto Marlies0BLSommaire du match
22172Syracuse Crunch3Toronto Marlies2BLXSommaire du match
24189Belleville Senators3Toronto Marlies2BLSommaire du match
26203Calgary Wranglers2Toronto Marlies4BWSommaire du match
27213Abbotsford Canucks4Toronto Marlies3BLXSommaire du match
31244Toronto Marlies3Grand Rapids Griffins2AWSommaire du match
34270Toronto Marlies1Iowa Wild2ALSommaire du match
37295Toronto Marlies3Rockford IceHogs5ALSommaire du match
40316Toronto Marlies4W-B/Scranton Penguins2AWSommaire du match
42333Coachella Valley Firebirds2Toronto Marlies4BWSommaire du match
43341Charlotte Checkers6Toronto Marlies3BLSommaire du match
46366Providence Bruins3Toronto Marlies1BLSommaire du match
49391Toronto Marlies4Belleville Senators3AWXSommaire du match
51406Toronto Marlies1Bridgeport Islanders4ALSommaire du match
52415Milwaukee Admirals0Toronto Marlies2BWSommaire du match
54432Toronto Marlies3Hartford Wolf Pack4ALSommaire du match
56448Cleveland Monsters3Toronto Marlies2BLSommaire du match
58466W-B/Scranton Penguins1Toronto Marlies6BWSommaire du match
61490Hartford Wolf Pack3Toronto Marlies2BLSommaire du match
63507Toronto Marlies2Rochester Americans3ALXXSommaire du match
64516Toronto Marlies2Cleveland Monsters3ALSommaire du match
66532Belleville Senators4Toronto Marlies2BLSommaire du match
68549Toronto Marlies4Cleveland Monsters5ALSommaire du match
70564Chicago Wolves3Toronto Marlies2BLSommaire du match
72587Toronto Marlies2San Diego Gulls4ALSommaire du match
73594Toronto Marlies4Ontario Reign5ALXXSommaire du match
76618Toronto Marlies2San Jose Barracuda1AWSommaire du match
78627San Jose Barracuda4Toronto Marlies5BWXSommaire du match
79635Toronto Marlies2Bridgeport Islanders3ALSommaire du match
81653Colorado Eagles3Toronto Marlies2BLXSommaire du match
83671Grand Rapids Griffins3Toronto Marlies1BLSommaire du match
85691Toronto Marlies4Bakersfield Condors3AWXXSommaire du match
86699Toronto Marlies2Calgary Wranglers1AWSommaire du match
88714Toronto Marlies3Abbotsford Canucks2AWXSommaire du match
90730Toronto Marlies6Coachella Valley Firebirds4AWSommaire du match
93749Manitoba Moose7Toronto Marlies9BWSommaire du match
95774Toronto Marlies0Manitoba Moose3ALSommaire du match
96779Bridgeport Islanders1Toronto Marlies2BWSommaire du match
99800Texas Stars0Toronto Marlies4BWSommaire du match
100812Toronto Marlies4Belleville Senators2AWSommaire du match
102827Springfield Thunderbirds3Toronto Marlies2BLXSommaire du match
104843Lehigh Valley Phantoms5Toronto Marlies1BLSommaire du match
105853San Diego Gulls2Toronto Marlies4BWSommaire du match
107871Toronto Marlies2Springfield Thunderbirds1AWSommaire du match
109890Toronto Marlies3Tucson Roadrunners4ALSommaire du match
110899Toronto Marlies2Henderson Silver Knights4ALSommaire du match
113921Toronto Marlies2Colorado Eagles3ALSommaire du match
115935Henderson Silver Knights3Toronto Marlies2BLSommaire du match
117954Tucson Roadrunners3Toronto Marlies2BLSommaire du match
118959Hartford Wolf Pack5Toronto Marlies1BLSommaire du match
120979Providence Bruins2Toronto Marlies4BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1231003Rochester Americans4Toronto Marlies5BWXSommaire du match
1251017Toronto Marlies3Providence Bruins4ALSommaire du match
1261027Toronto Marlies4Laval Rocket3AWSommaire du match
1281042Toronto Marlies2Lehigh Valley Phantoms3ALSommaire du match
1301060Chicago Wolves1Toronto Marlies3BWSommaire du match
1321075Toronto Marlies5Lehigh Valley Phantoms2AWSommaire du match
1341090Toronto Marlies-Hershey Bears-
1361106Bakersfield Condors-Toronto Marlies-
1391131Hershey Bears-Toronto Marlies-
1401139Toronto Marlies-Chicago Wolves-
1421154Utica Comets-Toronto Marlies-
1441173Toronto Marlies-Rochester Americans-
1451182Charlotte Checkers-Toronto Marlies-
1471197Syracuse Crunch-Toronto Marlies-
1501223Toronto Marlies-Laval Rocket-
1521238W-B/Scranton Penguins-Toronto Marlies-
1531244Toronto Marlies-Utica Comets-
1551263Utica Comets-Toronto Marlies-
1571281Grand Rapids Griffins-Toronto Marlies-
1591294Toronto Marlies-Charlotte Checkers-
1601306Toronto Marlies-Syracuse Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
8 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,414,946$ 1,520,000$ 1,520,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,500$ 1,414,946$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 28 9,500$ 266,000$




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