Connexion

Toronto Marlies
GP: 11 | W: 4 | L: 2 | OTL: 5 | P: 13
GF: 10 | GA: 11 | PP%: 0.00% | PK%: 97.50%
DG: | Morale : 1 | Moyenne d’équipe : 74
Prochains matchs #69 vs Rockford IceHogs
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Centre de jeu
Toronto Marlies
4-2-5, 13pts
0
FINAL
1 Worcester Sharks
11-0-0, 22pts
Team Stats
W1SéquenceW1
3-1-1Fiche domicile5-0-0
1-1-4Fiche domicile6-0-0
4-1-5Derniers 10 matchs10-0-0
0.91Buts par match 2.91
1.00Buts contre par match 0.45
0.00%Pourcentage en avantage numérique14.29%
97.50%Pourcentage en désavantage numérique97.14%
Toronto Marlies
4-2-5, 13pts
3
FINAL
0 Charlotte Checkers
0-11-0, 0pts
Team Stats
W1SéquenceL11
3-1-1Fiche domicile0-6-0
1-1-4Fiche domicile0-5-0
4-1-5Derniers 10 matchs0-10-0
0.91Buts par match 0.36
1.00Buts contre par match 5.55
0.00%Pourcentage en avantage numérique0.00%
97.50%Pourcentage en désavantage numérique46.67%
Rockford IceHogs
2-8-1, 5pts
2024-11-20
Toronto Marlies
4-2-5, 13pts
Statistiques d’équipe
L3SéquenceW1
1-5-0Fiche domicile3-1-1
1-3-1Fiche visiteur1-1-4
2-8-010 derniers matchs4-1-5
1.64Buts par match 0.91
1.91Buts contre par match 0.91
11.54%Pourcentage en avantage numérique0.00%
84.21%Pourcentage en désavantage numérique97.50%
Charlotte Checkers
0-11-0, 0pts
2024-11-22
Toronto Marlies
4-2-5, 13pts
Statistiques d’équipe
L11SéquenceW1
0-6-0Fiche domicile3-1-1
0-5-0Fiche visiteur1-1-4
0-10-010 derniers matchs4-1-5
0.36Buts par match 0.91
5.55Buts contre par match 0.91
0.00%Pourcentage en avantage numérique0.00%
46.67%Pourcentage en désavantage numérique97.50%
Toronto Marlies
4-2-5, 13pts
2024-11-24
Grand Rapids Griffins
6-2-3, 15pts
Statistiques d’équipe
W1SéquenceL1
3-1-1Fiche domicile2-1-3
1-1-4Fiche visiteur4-1-0
4-1-510 derniers matchs5-2-3
0.91Buts par match 2.55
1.00Buts contre par match 2.55
0.00%Pourcentage en avantage numérique3.70%
97.50%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Chris Neil
2
Passes
Boris Valabik
3
Points
Chris Neil
4
Plus/Moins
Brendan Witt
3
Victoires
Jean-Sebastien Giguere
4
Pourcentage d’arrêts
Jean-Sebastien Giguere
0.95

Statistiques d’équipe
Buts pour
10
0.91 GFG
Tirs pour
164
14.91 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
34.4%
Buts contre
11
1.00 GAA
Tirs contre
160
14.55 Avg
Pourcentage en désavantage numérique
97.5%%
1 GA
Début de la zone défensive
42.8%
Informations de l'équipe

Directeur général
EntraîneurBruce Boudreau
DivisionNortheast
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 250
Espoirs34


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
1Chris Neil0X100.009990427592969693777879777991888787762301750,000$
2Fredrik Sjostrom0X100.008977999395929287677570847083798787762261750,000$
3Tim Kennedy (R)0X100.008573919175999988767977787777758787762231500,000$
4Luca Caputi (R)0X100.008775959088828296738173777373738787752211743,000$
5Michael Zigomanis (R)0X100.008198818187737395917773897387848787752281500,000$
6Christian Hanson (R)0X100.009075958189838393887671837177738787742231569,624$
7Jared Boll0X100.009794489192969693676971757177778787742231725,000$
8Michal Repik (R)0X100.008675999378808093897277787773718787742211500,000$
9Mike Brown0X100.009498708387959584676773827391778787742241537,500$
10Brad Winchester0X100.009994617699909085707270777087838787732281750,000$
11Colton Orr0X100.0093924275979999857768717671857987877222731,000,000$
12Brendan Witt0X100.009995828297767673677273887399998787772341750,000$
13Jeff Finger0X100.0097999481918080836782738873918687877723023,500,000$
14Mike Komisarek0X100.0099968283997272696775678767858587877522744,500,000$
15Boris Valabik0X100.008498708799747480677367856777768787742231500,000$
16Brett Lebda0X100.0080759788838888816776697869858187877422721,450,000$
17David Schlemko (R)0X100.007775979383777788678273797375768787742221750,000$
Rayé
1Oscar Moller0X100.008477999181818187747275767571748787722201500,000$
2Jay Rosehill (R)0X100.009690427894707075717071777179778787692241500,000$
3Tim Brent (R)0X100.008778998582626267806767766781798787672251575,000$
4Brayden Irwin (R)0X100.007576997995636367786767786775748787662221500,000$
5Nazem Kadri (R)0X100.0073779993736262677467677767697587876621931,720,000$
6Alexander Sulzer (R)0X100.007977997989686868677367816781838787702251650,000$
7Matt Lashoff (R)0X100.007496768989636367676767766777788787682231500,000$
MOYENNE D’ÉQUIPE100.00888582858980808273737180718179878773
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
1Jean-Sebastien Giguere0100.009498939796989897989597989532879223316,000,000$
2Jonas Gustavsson (R)0100.009595889995979796979496858347879022521,350,000$
Rayé
MOYENNE D’ÉQUIPE100.0095979198969898979895979289408791
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Boudreau85829586888570CAN5632,052,000$


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
1Chris NeilToronto Marlies (Tor)RW11224-12401241911910.53%323221.170004210000201056.10%41282000.3405000001
2Boris ValabikToronto Marlies (Tor)D11033-2100354000%419117.4200004000011000%0116000.3100000001
3Brad WinchesterToronto Marlies (Tor)LW1103302011211730%113011.90000000000000100.00%2113000.4600000001
4David SchlemkoToronto Marlies (Tor)D110222001107340%321119.22000112000021000%0108000.1901000000
5Jeff FingerToronto Marlies (Tor)D11112100111263816.67%1827725.25000026000048000%0610000.1401000110
6Luca CaputiToronto Marlies (Tor)LW11022020106144100%016014.6000000000213000%2112000.2502000010
7Michal RepikToronto Marlies (Tor)RW11202100125162412.50%416615.14000000001210133.33%3143000.2401000201
8Brett LebdaToronto Marlies (Tor)D11101-1001564116.67%216915.380000000002100%0210000.1200000010
9Christian HansonToronto Marlies (Tor)C1110110071111379.09%219517.80000022000070045.35%8687000.1011000000
10Fredrik SjostromToronto Marlies (Tor)LW11011000666640%525022.790000210000440039.33%89156000.0815000000
11Mike BrownToronto Marlies (Tor)RW1110102038112109.09%013111.9200000000000150.00%670000.1501000010
12Mike KomisarekToronto Marlies (Tor)D110111809131210%1223921.75000017000024000%0213000.0800000000
13Tim KennedyToronto Marlies (Tor)LW110111007821850%121519.550002220001170054.55%11333000.0925000000
14Brendan WittToronto Marlies (Tor)D110003408137300%826323.95000126000044000%021200011000000
15Colton OrrToronto Marlies (Tor)RW8000-240351120%0475.9600000000000050.00%60000001000000
16Jared BollToronto Marlies (Tor)RW11000116014314860%018717.03000222000000028.57%78100011000000
17Michael ZigomanisToronto Marlies (Tor)C110002004129530%316114.670004210000280043.70%1195200001000000
Statistiques d’équipe totales ou en moyenne18481624772012212816472774.88%66323217.570001422100043062244.62%37216398000.15626000344
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
1Jean-Sebastien GiguereToronto Marlies (Tor)114250.9500.7068704816072000.72025110210
Statistiques d’équipe totales ou en moyenne114250.9500.70687048160720025110210


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 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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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 SulzerToronto Marlies (Tor)D251999-11-03DEUYes204 Lbs6 ft1NoNoAssign ManuallyNoNo1FalseFalsePro & Farm650,000$513,158$0$0$No---------------------------
Boris ValabikToronto Marlies (Tor)D232001-11-03SVKNo245 Lbs6 ft7NoNoAssign ManuallyNoNo1FalseFalsePro & Farm500,000$394,737$0$0$No---------------------------
Brad WinchesterToronto Marlies (Tor)LW281996-11-03USANo231 Lbs6 ft5NoNoAssign ManuallyNoNo12024-10-08FalseFalsePro & Farm750,000$592,105$0$0$No---------------------------
Brayden IrwinToronto Marlies (Tor)C222002-11-03CANYes215 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$394,737$0$0$No---------------------------
Brendan WittToronto Marlies (Tor)D341990-11-03CANNo223 Lbs6 ft2NoNoAssign ManuallyNoNo12024-10-08FalseFalsePro & Farm750,000$592,105$0$0$No---------------------------
Brett LebdaToronto Marlies (Tor)D271997-11-03USANo195 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm1,450,000$1,144,737$0$0$No1,450,000$-----------------No--------
Chris NeilToronto Marlies (Tor)RW301994-11-03CANNo212 Lbs6 ft1NoNoAssign ManuallyNoNo12024-10-08FalseFalsePro & Farm750,000$592,105$0$0$No---------------------------
Christian HansonToronto Marlies (Tor)C232001-11-03USAYes202 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm569,624$449,703$0$0$No---------------------------
Colton OrrToronto Marlies (Tor)RW271997-11-03CANNo222 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,000,000$789,474$0$0$No1,000,000$1,000,000$----------------NoNo-------
David SchlemkoToronto Marlies (Tor)D222002-11-03CANYes190 Lbs6 ft1NoNoAssign ManuallyNoNo12024-10-08FalseFalsePro & Farm750,000$592,105$0$0$No---------------------------
Fredrik SjostromToronto Marlies (Tor)LW261998-11-03SWENo218 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$592,105$0$0$No---------------------------
Jared BollToronto Marlies (Tor)RW232001-11-03USANo210 Lbs6 ft3NoNoAssign ManuallyNoNo12024-10-08FalseFalsePro & Farm725,000$572,368$0$0$No---------------------------
Jay RosehillToronto Marlies (Tor)LW242000-11-03CANYes215 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$394,737$0$0$No---------------------------
Jean-Sebastien GiguereToronto Marlies (Tor)G331991-11-03CANNo202 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm6,000,000$4,736,842$0$0$No---------------------------
Jeff FingerToronto Marlies (Tor)D301994-11-03USANo209 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm3,500,000$2,763,158$0$0$No3,500,000$-----------------No--------
Jonas GustavssonToronto Marlies (Tor)G251999-11-03SWEYes192 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,350,000$1,065,789$0$0$No1,350,000$-----------------No--------
Luca CaputiToronto Marlies (Tor)LW212003-11-03CANYes200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm743,000$586,579$0$0$No---------------------------
Matt LashoffToronto Marlies (Tor)D232001-11-03USAYes205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$394,737$0$0$No---------------------------
Michael ZigomanisToronto Marlies (Tor)C281996-11-03CANYes200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$394,737$0$0$No---------------------------
Michal RepikToronto Marlies (Tor)RW212003-11-03CZEYes180 Lbs5 ft10NoNoAssign ManuallyNoNo1FalseFalsePro & Farm500,000$394,737$0$0$No---------------------------
Mike BrownToronto Marlies (Tor)RW242000-11-03USANo201 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm537,500$424,342$0$0$No---------------------------
Mike KomisarekToronto Marlies (Tor)D271997-11-03USANo243 Lbs6 ft4NoNoN/ANoNo4FalseFalsePro & Farm4,500,000$3,552,632$0$0$No4,500,000$4,500,000$4,500,000$---------------NoNoNo------
Nazem KadriToronto Marlies (Tor)C192005-11-03CANYes167 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm1,720,000$1,357,895$0$0$No1,720,000$1,720,000$----------------NoNo-------
Oscar MollerToronto Marlies (Tor)C202004-11-03SWENo186 Lbs5 ft10NoNoAssign ManuallyNoNo1FalseFalsePro & Farm500,000$394,737$0$0$No---------------------------
Tim BrentToronto Marlies (Tor)C251999-11-03CANYes188 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm575,000$453,947$0$0$No---------------------------
Tim KennedyToronto Marlies (Tor)LW232001-11-03USAYes173 Lbs5 ft10NoNoAssign ManuallyNoNo1FalseFalsePro & Farm500,000$394,737$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.12205 Lbs6 ft11.381,195,005$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fredrik SjostromMichael ZigomanisChris Neil40122
2Tim KennedyChristian HansonJared Boll30122
3Luca CaputiMichal Repik20122
4Brad WinchesterMike Brown10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brendan WittJeff Finger40122
2Mike KomisarekBoris Valabik30122
3Brett LebdaDavid Schlemko20122
4Brendan WittJeff Finger10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fredrik SjostromMichael ZigomanisChris Neil60122
2Tim KennedyChristian HansonJared Boll40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brendan WittJeff Finger60122
2Mike KomisarekBoris Valabik40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael ZigomanisFredrik Sjostrom60122
2Christian HansonTim Kennedy40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brendan WittJeff Finger60122
2Mike KomisarekBoris Valabik40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Zigomanis60122Brendan WittJeff Finger60122
2Christian Hanson40122Mike KomisarekBoris Valabik40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael ZigomanisFredrik Sjostrom60122
2Christian HansonTim Kennedy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brendan WittJeff Finger60122
2Mike KomisarekBoris Valabik40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fredrik SjostromMichael ZigomanisChris NeilBrendan WittJeff Finger
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fredrik SjostromMichael ZigomanisChris NeilBrendan WittJeff Finger
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Zigomanis, Jared Boll, Michal RepikMichael Zigomanis, Jared BollMichael Zigomanis
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Boris Valabik, Brett Lebda, David SchlemkoBoris ValabikBoris Valabik, Brett Lebda
Tirs de pénalité
Chris Neil, Fredrik Sjostrom, Tim Kennedy, Luca Caputi, Michael Zigomanis
Gardien
#1 : Jean-Sebastien Giguere, #2 : Jonas Gustavsson


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 Heat1000010012-1000000000001000010012-110.5001230012561843565932137414300.00%20100.00%05513640.44%7916946.75%399043.33%2431452549919093
2Adirondack Phantoms1010000001-11010000001-10000000000000.000000001256114356593215385100.00%40100.00%05513640.44%7916946.75%399043.33%2431452549919093
3Charlotte Checkers11000000303000000000001100000030321.000369011256184356593292418000%20100.00%05513640.44%7916946.75%399043.33%2431452549919093
4Hamilton Bulldogs20000011220100000101011000000112-130.750224011256294356593234162019400.00%100100.00%05513640.44%7916946.75%399043.33%2431452549919093
5Norfolk Admirals2010010002-2000000000002010010002-210.250000001256254356593230112016500.00%10190.00%05513640.44%7916946.75%399043.33%2431452549919093
6Providence Bruins21000010312210000103120000000000041.000347011256294356593228111822300.00%90100.00%05513640.44%7916946.75%399043.33%2431452549919093
7Worcester Sharks2000000213-21000000112-11000000101-120.50012300125634435659323116628700.00%30100.00%05513640.44%7916946.75%399043.33%2431452549919093
Total1122002231011-1511000215416110020257-2130.5911016260312561644356593216066801222300.00%40197.50%05513640.44%7916946.75%399043.33%2431452549919093
_Since Last GM Reset1122002231011-1511000215416110020257-2130.5911016260312561644356593216066801222300.00%40197.50%05513640.44%7916946.75%399043.33%2431452549919093
_Vs Conference822001218624110002042241100101440100.62581220031256112435659321164370801300.00%35197.14%05513640.44%7916946.75%399043.33%2431452549919093
_Vs Division41000021532310000204131000000112-170.8755611021256584356593262273841700.00%190100.00%05513640.44%7916946.75%399043.33%2431452549919093

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1113W1101626164160668012203
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
112202231011
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
511002154
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
611020257
Derniers 10 matchs
WLOTWOTL SOWSOL
210223
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2300.00%40197.50%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
435659321256
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
5513640.44%7916946.75%399043.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2431452549919093


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 - 2024-11-041Toronto Marlies0Norfolk Admirals1LSommaire du match
2 - 2024-11-057Toronto Marlies1Abbotsford Heat2LXSommaire du match
3 - 2024-11-0611Providence Bruins1Toronto Marlies2WXXSommaire du match
6 - 2024-11-0920Providence Bruins0Toronto Marlies1WSommaire du match
8 - 2024-11-1123Toronto Marlies1Hamilton Bulldogs2LXXSommaire du match
9 - 2024-11-1231Hamilton Bulldogs0Toronto Marlies1WXXSommaire du match
12 - 2024-11-1542Adirondack Phantoms1Toronto Marlies0LSommaire du match
13 - 2024-11-1647Worcester Sharks2Toronto Marlies1LXXSommaire du match
14 - 2024-11-1749Toronto Marlies0Norfolk Admirals1LXSommaire du match
15 - 2024-11-1858Toronto Marlies0Worcester Sharks1LXXSommaire du match
16 - 2024-11-1963Toronto Marlies3Charlotte Checkers0WSommaire du match
17 - 2024-11-2069Rockford IceHogs-Toronto Marlies-
19 - 2024-11-2276Charlotte Checkers-Toronto Marlies-
21 - 2024-11-2481Toronto Marlies-Grand Rapids Griffins-
23 - 2024-11-2687Toronto Marlies-Manitoba Moose-
25 - 2024-11-2893Worcester Sharks-Toronto Marlies-
27 - 2024-11-30100Manitoba Moose-Toronto Marlies-
29 - 2024-12-02107Charlotte Checkers-Toronto Marlies-
31 - 2024-12-04112Toronto Marlies-Adirondack Phantoms-
33 - 2024-12-06116Toronto Marlies-Norfolk Admirals-
35 - 2024-12-08124Adirondack Phantoms-Toronto Marlies-
36 - 2024-12-09130Toronto Marlies-Adirondack Phantoms-
38 - 2024-12-11136Toronto Marlies-Hamilton Bulldogs-
39 - 2024-12-12140Toronto Marlies-Rockford IceHogs-
41 - 2024-12-14144Providence Bruins-Toronto Marlies-
42 - 2024-12-15153Grand Rapids Griffins-Toronto Marlies-
44 - 2024-12-17157Toronto Marlies-Providence Bruins-
46 - 2024-12-19166Providence Bruins-Toronto Marlies-
48 - 2024-12-21173Hamilton Bulldogs-Toronto Marlies-
49 - 2024-12-22178Toronto Marlies-Charlotte Checkers-
51 - 2024-12-24184Adirondack Phantoms-Toronto Marlies-
52 - 2024-12-25192Abbotsford Heat-Toronto Marlies-
54 - 2024-12-27198Toronto Marlies-Providence Bruins-
56 - 2024-12-29205Norfolk Admirals-Toronto Marlies-
57 - 2024-12-30208Toronto Marlies-Lake Erie Monsters-
59 - 2025-01-01215Toronto Marlies-Norfolk Admirals-
60 - 2025-01-02219Toronto Marlies-Hamilton Bulldogs-
62 - 2025-01-04225Lake Erie Monsters-Toronto Marlies-
63 - 2025-01-05230Toronto Marlies-Providence Bruins-
64 - 2025-01-06236Hamilton Bulldogs-Toronto Marlies-
68 - 2025-01-10244Hamilton Bulldogs-Toronto Marlies-
71 - 2025-01-13251Toronto Marlies-Hamilton Bulldogs-
72 - 2025-01-14256Norfolk Admirals-Toronto Marlies-
74 - 2025-01-16263Toronto Marlies-Norfolk Admirals-



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
17 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,086,112$ 3,107,012$ 0$ 2,052,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
40,882$ 654,112$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 60 67,882$ 4,072,920$




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