Connexion

Toronto Marlies
GP: 11 | W: 6 | L: 5
GF: 40 | GA: 38 | PP%: 35.48% | PK%: 68.42%
DG: Guy Rollin | Morale : 51 | Moyenne d’équipe : 59
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Centre de jeu
Toronto Marlies
6-5-0, 12pts
2
FINAL
3 Manchester Monarchs
16-6-0, 32pts
Team Stats
L3StreakW2
2-3-0Home Record9-2-0
4-2-0Away Record7-4-0
5-4-1Last 10 Games7-3-0
3.64Buts par match 3.95
3.45Buts contre par match 2.95
35.48%Pourcentage en avantage numérique34.48%
68.42%Pourcentage en désavantage numérique72.73%
Manchester Monarchs
16-6-0, 32pts
5
FINAL
3 Toronto Marlies
6-5-0, 12pts
Team Stats
W2StreakL3
9-2-0Home Record2-3-0
7-4-0Away Record4-2-0
7-3-0Last 10 Games5-4-1
3.95Buts par match 3.64
2.95Buts contre par match 3.45
34.48%Pourcentage en avantage numérique35.48%
72.73%Pourcentage en désavantage numérique68.42%
Meneurs d'équipe
Justin KapelmasterVictoires
Justin Kapelmaster
6
Justin KapelmasterPourcentage d’arrêts
Justin Kapelmaster
0.913

Statistiques d’équipe
Buts pour
40
3.64 GFG
Tirs pour
366
33.27 Avg
Pourcentage en avantage numérique
35.5%
11 GF
Début de zone offensive
34.9%
Buts contre
38
3.45 GAA
Tirs contre
398
36.18 Avg
Pourcentage en désavantage numérique
68.4%
6 GA
Début de la zone défensive
38.4%
Information d’équipe

Directeur généralGuy Rollin
EntraîneurScott Arniel
DivisionSteve Yzerman
ConférenceConference 2
CapitaineMichael McCarron
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 55
Espoirs49


Historique d'équipe

Saison actuelle6-5
Historique242-280-60 (0.416%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)6-5
Stanley Cup0


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
1Jonathan Dahlen (R)XX100.008045967868707878506481622548487263660231750,000$
2Jonas Rondbjerg (R)XX100.007972947472705270506570645344445864630221806,667$
3Matthew HighmoreXX100.007543937067597661446359802554556675620251725,000$
4Evgeny SvechnikovXX100.007544856877616471346865622546466771620241800,000$
5Mason MarchmentX100.008746846077676069397459652547476179610261800,000$
6Michael MerschX100.007778766378666862505960655744446379600281800,000$
7Anthony LouisXX100.006553926553656664806062625955556373590261800,000$
8Nathan WalkerX100.008344916465655658385064652545466443570272750,000$
9Michael McCarron (C)XX100.007484506588585556705059642550505983570261750,000$
10Andrei Altybarmakyan (R)X100.006969686669626456505256605344445878560221817,500$
11Evan PoleiXX100.006882356282484756504958615551515780550251700,000$
12Nicolas MelocheX100.008076906876616450254639643744445481580231750,000$
13Ryan StantonX100.007676776276596253254840663858585423580311800,000$
14Ben GleasonX100.007368846268636653254843614144445573570231761,666$
15Keegan LoweX100.007472796472707745253441603945455274570281700,000$
16Josiah DidierX100.007675796475565949254339623745455275560281700,000$
17Lassi Thomson (R)X100.007570885870596251254740613844445379560201863,333$
18Brandon HickeyX100.007875866375474845253341613944445069540251700,000$
Rayé
1Zach Leslie (R)X100.006664706664495049254142564044445131520271700,000$
MOYENNE D’ÉQUIPE100.00756580657261625840525463394747586858
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
1Justin Kapelmaster (R)100.00665063767065727571713044446779650251700,000$
2Robbie Beydoun (R)100.00634151686861727370703044446479620241700,000$
Rayé
1Will Cranley (R)100.00604658786157707065663044446220600191750,000$
2Dereck Baribeau (R)100.00595164866259576460593044445920590223733,333$
3Jeremy Helvig (R)100.00575265815857576258573044445720570241750,000$
4Spencer Martin100.00555974765556515953533044445520560261800,000$
MOYENNE D’ÉQUIPE100.0060506378625963676363304444614060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Arniel68707663878159CAN58160,000$


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
1Jonathan DahlenToronto Marlies (TOR)C/LW116915-175203457223710.53%1426324.002466260001161138.22%348179001.1400100120
2Jonas RondbjergToronto Marlies (TOR)LW/RW111051511010152245172722.22%1026023.694155260000172023.81%21116011.1500101200
3Evgeny SvechnikovToronto Marlies (TOR)LW/RW113912-5752121338249.09%720618.81033118000051127.27%1164001.1600001200
4Anthony LouisToronto Marlies (TOR)C/LW114610-3101016243992010.26%1119617.90011318000020156.55%145102001.0200011002
5Mason MarchmentToronto Marlies (TOR)LW114591208104611248.70%616314.8701110000001050.00%476001.1000000110
6Nicolas MelocheToronto Marlies (TOR)D1117831010111111659.09%1527124.70112227000019000.00%0413000.5900110001
7Matthew HighmoreToronto Marlies (TOR)LW/RW111563001717238204.35%722620.57123426000060040.91%2258000.5300000000
8Michael McCarronToronto Marlies (TOR)C/RW11336-4202019206515.00%519717.92101118000001063.64%1134000.6100000010
9Ryan StantonToronto Marlies (TOR)D1105543420112416560.00%1726824.41000228000015000.00%0214000.3700004001
10Keegan LoweToronto Marlies (TOR)D11044-3755135210.00%519718.00022017000010000.00%0016000.4000010000
11Andrei AltybarmakyanToronto Marlies (TOR)RW11314055141627141011.11%415213.91101200000000100.00%223000.5200001001
12Ben GleasonToronto Marlies (TOR)D11213-3121071173128.57%1019517.8011211700009000.00%023000.3100011000
13Evan PoleiToronto Marlies (TOR)C/LW112132251515162041210.00%214413.1400000000000040.30%6701000.4100201010
14Michael MerschToronto Marlies (TOR)LW11101-2755841325.00%3817.4000000000070016.67%613000.2500100000
15Nathan WalkerToronto Marlies (TOR)LW11011-200445430.00%1595.3700001000050031.25%1611000.3400000000
16Lassi ThomsonToronto Marlies (TOR)D11011-175352050.00%613212.070000100001000.00%002000.1500001000
17Josiah DidierToronto Marlies (TOR)D11000-2803103220.00%813612.450000000004000.00%005000.0000000000
18Brandon HickeyToronto Marlies (TOR)D11000-200423100.00%1736.660000000002000.00%001000.0000000000
19Zach LeslieToronto Marlies (TOR)D8000-100220100.00%0496.230000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne2064063103-1515310520126936612420510.93%132327915.921116272823200011246342.27%65371101010.63006411655
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
1Justin KapelmasterToronto Marlies (TOR)116300.9133.165880031357186110.0000110011
2Robbie BeydounToronto Marlies (TOR)20110.8505.00720064024000.0000011000
Statistiques d’équipe totales ou en moyenne136410.9073.366610037397210110.00001111011


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond salarial 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 10Link
Andrei AltybarmakyanToronto Marlies (TOR)RW221998-08-04Yes192 Lbs5 ft11NoNoNo1Pro & Farm817,500$0$0$No
Anthony LouisToronto Marlies (TOR)C/LW261995-02-10No151 Lbs5 ft7NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Ben GleasonToronto Marlies (TOR)D231998-03-24No180 Lbs6 ft1NoNoNo1Pro & Farm761,666$0$0$NoLien / Lien NHL
Brandon HickeyToronto Marlies (TOR)D251996-04-13No201 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Dereck BaribeauToronto Marlies (TOR)G221999-01-21Yes203 Lbs6 ft6NoNoNo3Pro & Farm733,333$0$0$No733,333$733,333$Lien / Lien NHL
Evan PoleiToronto Marlies (TOR)C/LW251996-02-19No229 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Evgeny SvechnikovToronto Marlies (TOR)LW/RW241996-10-31No208 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Jeremy HelvigToronto Marlies (TOR)G241997-05-24Yes188 Lbs6 ft4NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Jonas RondbjergToronto Marlies (TOR)LW/RW221999-03-31Yes194 Lbs6 ft2NoNoNo1Pro & Farm806,667$0$0$NoLien NHL
Jonathan DahlenToronto Marlies (TOR)C/LW231997-12-20 14:00:54Yes176 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$No
Josiah DidierToronto Marlies (TOR)D281993-04-08No202 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Justin KapelmasterToronto Marlies (TOR)G251995-10-26Yes205 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Keegan LoweToronto Marlies (TOR)D281993-03-29No191 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Lassi ThomsonToronto Marlies (TOR)D202000-09-24Yes190 Lbs6 ft0NoNoNo1Pro & Farm863,333$0$0$NoLien NHL
Mason MarchmentToronto Marlies (TOR)LW261995-03-06No204 Lbs6 ft4NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Matthew HighmoreToronto Marlies (TOR)LW/RW251996-02-27No188 Lbs5 ft11NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Michael McCarronToronto Marlies (TOR)C/RW261995-03-07No232 Lbs6 ft6NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Michael MerschToronto Marlies (TOR)LW281992-10-02No210 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Nathan WalkerToronto Marlies (TOR)LW271994-02-07No186 Lbs5 ft9NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Nicolas MelocheToronto Marlies (TOR)D231997-07-18No204 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Robbie BeydounToronto Marlies (TOR)G241996-10-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Ryan StantonToronto Marlies (TOR)D311989-07-20No205 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Spencer MartinToronto Marlies (TOR)G261995-06-08No191 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Will CranleyToronto Marlies (TOR)G192002-02-26Yes185 Lbs6 ft4NoNoNo1Pro & Farm750,000$0$0$NoLien NHL
Zach LeslieToronto Marlies (TOR)D271994-01-31Yes174 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.76195 Lbs6 ft11.12756,300$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evgeny SvechnikovJonathan DahlenMatthew Highmore40023
2Mason MarchmentAnthony LouisMichael McCarron30023
3Nathan WalkerJonas RondbjergAndrei Altybarmakyan20122
4Michael MerschEvan PoleiJonas Rondbjerg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan StantonNicolas Meloche40122
2Keegan LoweBen Gleason30122
3Josiah DidierLassi Thomson20122
4Brandon HickeyRyan Stanton10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonas RondbjergJonathan DahlenMatthew Highmore60122
2Evgeny SvechnikovAnthony LouisMichael McCarron40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan StantonNicolas Meloche60122
2Keegan LoweBen Gleason40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jonathan DahlenJonas Rondbjerg60122
2Matthew HighmoreEvgeny Svechnikov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan StantonNicolas Meloche60122
2Keegan LoweBen Gleason40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jonathan Dahlen60122Ryan StantonNicolas Meloche60122
2Jonas Rondbjerg40122Keegan LoweBen Gleason40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jonathan DahlenJonas Rondbjerg60122
2Matthew HighmoreEvgeny Svechnikov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan StantonNicolas Meloche60122
2Keegan LoweBen Gleason40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonas RondbjergJonathan DahlenMatthew HighmoreRyan StantonNicolas Meloche
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonas RondbjergJonathan DahlenMatthew HighmoreRyan StantonNicolas Meloche
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Walker, Mason Marchment, Michael MerschNathan Walker, Mason MarchmentMichael Mersch
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Josiah Didier, Lassi Thomson, Brandon HickeyJosiah DidierLassi Thomson, Brandon Hickey
Tirs de pénalité
Jonathan Dahlen, Jonas Rondbjerg, Matthew Highmore, Evgeny Svechnikov, Mason Marchment
Gardien
#1 : Justin Kapelmaster, #2 : Robbie Beydoun


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
1Drummondville Voltigeurs54100000201462110000087133000000127580.80020315100913171163101153111117971449814214.29%7271.43%09922843.42%10225140.64%7517443.10%208109243105209107
2Manchester Monarchs624000002024-431200000810-2312000001214-240.3332032521091317120310115311112196110910317952.94%12466.67%09922843.42%10225140.64%7517443.10%208109243105209107
Total11650000040382523000001617-16420000024213120.5454063103109131713661011531111398132153201311135.48%19668.42%09922843.42%10225140.64%7517443.10%208109243105209107
_Since Last GM Reset11650000040382523000001617-16420000024213120.5454063103109131713661011531111398132153201311135.48%19668.42%09922843.42%10225140.64%7517443.10%208109243105209107
_Vs Conference11650000040382523000001617-16420000024213120.5454063103109131713661011531111398132153201311135.48%19668.42%09922843.42%10225140.64%7517443.10%208109243105209107

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1112L3406310336639813215320110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
116500004038
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001617
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
64200002421
Derniers 10 matchs
WLOTWOTL SOWSOL
441100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
311135.48%19668.42%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
1011531111913171
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
9922843.42%10225140.64%7517443.10%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
208109243105209107


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
1 - 2021-10-158Toronto Marlies4Drummondville Voltigeurs2AWSommaire du match
2 - 2021-10-1616Toronto Marlies3Drummondville Voltigeurs2AWXSommaire du match
3 - 2021-10-1724Drummondville Voltigeurs1Toronto Marlies3BWSommaire du match
4 - 2021-10-1832Drummondville Voltigeurs6Toronto Marlies5BLXSommaire du match
5 - 2021-10-1940Toronto Marlies5Drummondville Voltigeurs3AWSommaire du match
8 - 2021-10-2260Toronto Marlies6Manchester Monarchs8ALSommaire du match
9 - 2021-10-2364Toronto Marlies4Manchester Monarchs3AWSommaire du match
10 - 2021-10-2468Manchester Monarchs1Toronto Marlies3BWSommaire du match
11 - 2021-10-2572Manchester Monarchs4Toronto Marlies2BLSommaire du match
12 - 2021-10-2676Toronto Marlies2Manchester Monarchs3ALSommaire du match
13 - 2021-10-2780Manchester Monarchs5Toronto Marlies3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2512
Assistance10,0005,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 3000 - 100.00% 92,380$461,900$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,890,750$ 1,870,750$ 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$ 0 0$ 0$




Toronto Marlies Leaders statistiques (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
1Nathan Walker383196200396-158346466694133814.65%171736819.24364581148413172881640.84%81.071224
2Matthew Highmore294190198388-14214366540112416.90%201612020.824877125164120123520334.49%101.27113
3Carter Camper316140216356-16015238874893215.02%248728423.0528447292044164858.19%00.98828
4Nick Shore20496248344-725632052066414.46%164498624.4420729280404416454.31%01.38416
5Michael McCarron370163174337-1051644717602101216.11%226726819.655146971494041718148.84%50.9399

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
1Spencer Martin272116112360.8734.40153132441124884453282400.58396
2Justin Kapelmaster46251160.9013.942604001711725928201.00011
3Robbie Beydoun37181620.9073.252121401151235697220.62516

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
Saison régulière
201682165205522278423-1454192603201139204-654172602321139219-80322784437212148122101719655057456933930731025258612972036532.02%2349459.83%9684133451.27%929186549.81%748144351.84%142661817858161741899
201782254008540285348-6341141706220154171-1741112302320131177-465028546775230471021241622205347828724630441033191313382128941.98%2618766.67%9704149347.15%988212846.43%657133149.36%145965117988091706887
201882244006273302333-3141112103132144160-1641131903141158173-15483024927941163105121252300628783855733068101087312681897740.74%1846664.13%6661142846.29%772176443.76%654134348.70%148068417888141717881
2019822639010421312323-1141141804311157155241122106110155168-135231251582710691171141622956038078237229961065171513232148740.65%2308662.61%7685147446.47%830186944.41%626135646.17%147168318078081679856
202082244105534305432-1274192004314147214-6741152101220158218-6073305501806017999119132148610746763522911927180912731976532.99%1877062.57%6715137951.85%787155550.61%732143351.08%146466217648201741904
202082244105534305432-1274192004314147214-6741152101220158218-6073305501806017999119132148610746763522911927180912731976532.99%1877062.57%6715137951.85%787155550.61%732143351.08%146466217648201741904
20217832270566231329023391612033501671442339161502312146146094313509822208393126162604819895859572962942119813472058039.02%2096170.81%7744154448.19%801182543.89%585127245.99%154880716587411523771
Total Saison régulière57017128004432271621002581-4812858213402717131210551262-207285891460171514410451319-2744222100342855289446873782410615680430955045628391209656929119039119141752837.26%149253464.21%5049081003148.93%58941256146.92%4734961149.26%103144769123665630118516104
202111650000040382523000001617-16420000024213124063103109131713661011531111398132153201311135.48%19668.42%09922843.42%10225140.64%7517443.10%208109243105209107
Total Séries éliminatoires11650000040382523000001617-16420000024213124063103109131713661011531111398132153201311135.48%19668.42%09922843.42%10225140.64%7517443.10%208109243105209107

Toronto Marlies Leaders statistiques (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
1Jonathan Dahlen116915-1720345710.53%1426324.00246600011138.22%01.1400
2Jonas Rondbjerg111051511015224522.22%1026023.69415500002023.81%11.1500
3Evgeny Svechnikov113912-572121339.09%720618.81033100001127.27%01.1600
4Anthony Louis114610-31016243910.26%1119617.90011300000156.55%01.0200
5Mason Marchment1145912810468.70%616314.87011100001050.00%01.1000

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
1Justin Kapelmaster116300.9133.165880031357186110.0000
2Robbie Beydoun20110.8505.00720064024000.0000