Connexion

Toronto Marlies
GP: 20 | W: 13 | L: 7
GF: 60 | GA: 40 | PP%: 17.65% | PK%: 86.49%
DG: Yves Martel | Morale : 99 | Moyenne d’équipe : 66
Prochains matchs #100 vs Harford Wolf Pack
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Grand Rapids Griffins
11-6-0, 22pts
2
FINAL
3 Toronto Marlies
13-7-0, 26pts
Team Stats
L1SéquenceW2
6-2-0Fiche domicile7-4-0
5-4-0Fiche domicile6-3-0
4-5-1Derniers 10 matchs7-2-1
3.35Buts par match 3.00
2.06Buts contre par match 2.00
31.71%Pourcentage en avantage numérique17.65%
84.44%Pourcentage en désavantage numérique86.49%
Harford Wolf Pack
12-4-0, 24pts
1
FINAL
3 Toronto Marlies
13-7-0, 26pts
Team Stats
L1SéquenceW2
6-1-0Fiche domicile7-4-0
6-3-0Fiche domicile6-3-0
8-2-0Derniers 10 matchs7-2-1
3.88Buts par match 3.00
2.31Buts contre par match 2.00
32.50%Pourcentage en avantage numérique17.65%
92.00%Pourcentage en désavantage numérique86.49%
Harford Wolf Pack
12-4-0, 24pts
2024-05-15
Toronto Marlies
13-7-0, 26pts
Statistiques d’équipe
L1SéquenceW2
6-1-0Fiche domicile7-4-0
6-3-0Fiche visiteur6-3-0
8-2-010 derniers matchs7-2-1
3.88Buts par match 3.00
2.31Buts contre par match 3.00
32.50%Pourcentage en avantage numérique17.65%
92.00%Pourcentage en désavantage numérique86.49%
Toronto Marlies
13-7-0, 26pts
2024-05-16
Harford Wolf Pack
12-4-0, 24pts
Statistiques d’équipe
W2SéquenceL1
7-4-0Fiche domicile6-1-0
6-3-0Fiche visiteur6-3-0
7-2-110 derniers matchs8-2-0
3.00Buts par match 3.88
2.00Buts contre par match 3.88
17.65%Pourcentage en avantage numérique32.50%
86.49%Pourcentage en désavantage numérique92.00%
Toronto Marlies
13-7-0, 26pts
2024-05-17
Harford Wolf Pack
12-4-0, 24pts
Statistiques d’équipe
W2SéquenceL1
7-4-0Fiche domicile6-1-0
6-3-0Fiche visiteur6-3-0
7-2-110 derniers matchs8-2-0
3.00Buts par match 3.88
2.00Buts contre par match 3.88
17.65%Pourcentage en avantage numérique32.50%
86.49%Pourcentage en désavantage numérique92.00%
Meneurs d'équipe
Buts
Jonathan Dahlen
8
Sam GagnerPasses
Sam Gagner
13
Sam GagnerPoints
Sam Gagner
20
Dylan GambrellPlus/Moins
Dylan Gambrell
7
Victoires
Martin Jones
9
Pourcentage d’arrêts
Thomas Greiss
0.922

Statistiques d’équipe
Buts pour
60
3.00 GFG
Tirs pour
613
30.65 Avg
Pourcentage en avantage numérique
17.6%
9 GF
Début de zone offensive
41.7%
Buts contre
40
2.00 GAA
Tirs contre
507
25.35 Avg
Pourcentage en désavantage numérique
86.5%%
5 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur généralYves Martel
EntraîneurJohn Gruden
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison0


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 50
Espoirs22


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
1Sam Lafferty0XXX100.0083538267768684667765647963697149946802811,150,000$
2Sam Gagner0XX100.0055388969738284727466677370877547946703421,900,000$
3Jonathan Dahlen0XXX100.005634857468837972696671597664677294660251700,000$
4Martin Frk0X100.0074398668798581676264706172707158946602921,875,000$
5Rem Pitlick0XX100.0060398473708684697471666270666762756602611,100,000$
6Sam Steel0X100.005934927169838574797062636866677584660251850,000$
7Jay Beagle0XX100.0070378261858078599160568257817722946503711,100,000$
8Josh Leivo0XX100.0068398866798183666364676166697251946503011,000,000$
9Chris Tierney0X100.006538936476788466786860636573715794640291775,000$
10Dylan Gambrell0X100.007034876369798462776059826168675794640271775,000$
11Nolan Patrick0XX100.0064368667817976688265635873656988946402532,000,000$
12Miles Wood0X100.0070427173798074675765665867716951936402862,500,000$
13Colin Miller0X100.0071418467778882663074626554747338946703011,850,000$
14Nathan Beaulieu0X100.0063787464808274633066587550737465946703031,400,000$
15Slater Koekkoek0X100.0068379367797871653067597253687071946602921,250,000$
16Michal Kempny0X100.0072456963768467583062597250737427946503311,150,000$
17Conor Timmins0X100.0069448469818366653071606152656674936402521,100,000$
18Jacob Bernard-Docker0X100.006339836372828362306058614963658036620232805,000$
Rayé
1Egor Sokolov0XX100.007641826588858864676560636264656771640231775,000$
2Jean-Luc Foudy0X100.005838826668808263726458606461636647610212847,500$
3Nick Abruzzese0XX100.006036926669807463696459606164665724610242775,000$
4Marc Jonstone0X100.008348505795856260696150565569713624590272775,000$
5Maxime Lajoie (R)0X100.006640836277758459306258604966706684620251775,000$
6Mikko Kokkonen (R)0X100.006339775472686653305550524562646524550222846,667$
MOYENNE D’ÉQUIPE100.00674182667781786558656165616969587864
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
1Martin Jones099.00899489878887898887898853575288830331875,000$
2Thomas Greiss0100.00868579848584868584868581904993830371800,000$
Rayé
1Arvid Soderblom0100.00747978797372747372747364715740720242962,500$
2Kevin Mandolese0100.00736263827271737271737263695940700231775,000$
3Dennis Hildeby (R)0100.00575556915655575655575662675940600222843,333$
MOYENNE D’ÉQUIPE99.8076757385757476757476756571556074
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Gruden83635766726856Usa532800,000$


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
1Sam GagnerToronto Marlies (TOR)C/RW2071320-14018348313548.43%544022.022241245000001037.50%4000000.9100000211
2Jonathan DahlenToronto Marlies (TOR)C/LW/RW208816-140172177173710.39%345022.50022745000080045.16%3100000.7100000211
3Martin FrkToronto Marlies (TOR)RW206915540242150143612.00%237418.74033645000002131.82%2200000.8000000201
4Slater KoekkoekToronto Marlies (TOR)D20681464061823121826.09%2943121.573031138000027100%000000.6500000100
5Sam SteelToronto Marlies (TOR)C2048125007394914318.16%332916.4600000000001052.67%37400000.7300000011
6Nathan BeaulieuToronto Marlies (TOR)D2019105403418198245.26%2650525.30044951000031000%000000.4000000010
7Sam LaffertyToronto Marlies (TOR)C/LW/RW203710610029214618336.52%425312.66000000000171047.62%2100100.7900000001
8Jay BeagleToronto Marlies (TOR)C/RW20549620142135153314.29%432216.131017460002402059.79%9700000.5600000121
9Colin MillerToronto Marlies (TOR)D20178512038162110134.76%1850525.29123951000029000%000000.3200000001
10Josh LeivoToronto Marlies (TOR)LW/RW20538500152847133710.64%341620.802029450000381043.12%10900000.3800000202
11Michal KempnyToronto Marlies (TOR)D201786120258239144.35%1743121.560221038000027010%000000.3700000011
12Conor TimminsToronto Marlies (TOR)D2035851201813104630.00%1031315.6900011000010200%000000.5100000021
13Chris TierneyToronto Marlies (TOR)C203475002272431512.50%124412.2300002000082054.78%27200000.5700000000
14Dylan GambrellToronto Marlies (TOR)C204267008132062020.00%11497.50000000000180051.55%16100000.8000000110
15Rem PitlickToronto Marlies (TOR)C/RW2015660089294133.45%01296.4500000000000080.00%500000.9300000100
16Nolan PatrickToronto Marlies (TOR)C/RW20145-110043423910202.56%143321.69011741000000058.19%53100000.2300000000
17Miles WoodToronto Marlies (TOR)LW20123640961513136.67%11286.4400000000000033.33%600000.4700000001
18Jacob Bernard-DockerToronto Marlies (TOR)D140224001551130%1521515.410000100002000%000000.1900000000
19Maxime Lajoie Toronto Marlies (TOR)D6000100612120%69215.410000000002000%00000000000000
Statistiques d’équipe totales ou en moyenne36060107167808203363616131854229.79%149616817.149162588457000226413253.62%166900100.5400000121012
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
1Martin JonesToronto Marlies (TOR)159330.9211.98940013139200000155201
2Thomas GreissToronto Marlies (TOR)54100.9221.7630701911501000515000
Statistiques d’équipe totales ou en moyenne2013430.9211.931247024050701002020201


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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen 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
Arvid SoderblomToronto Marlies (TOR)G241999-08-19No180 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm962,500$206,250$700,000$150,000$0$0$No962,500$--------No--------Lien
Chris TierneyToronto Marlies (TOR)C291994-07-01No191 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No------------------Lien / Lien NHL
Colin MillerToronto Marlies (TOR)D301992-10-29No198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,850,000$396,429$700,000$150,000$0$0$No------------------Lien / Lien NHL
Conor TimminsToronto Marlies (TOR)D251998-09-18 18:25:48No188 Lbs7 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,100,000$235,714$0$0$No1,100,000$--------No--------
Dennis HildebyToronto Marlies (TOR)G222001-08-19 10:53:06Yes200 Lbs8 ft3NoNoN/ANoNo2FalseFalsePro & Farm843,333$180,714$750,000$160,714$0$0$No843,333$--------No--------Lien
Dylan GambrellToronto Marlies (TOR)C271996-08-26No185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$0$0$No------------------Lien / Lien NHL
Egor SokolovToronto Marlies (TOR)LW/RW232000-06-07No222 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No------------------Lien
Jacob Bernard-DockerToronto Marlies (TOR)D232000-06-30No190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm805,000$172,500$700,000$150,000$0$0$No805,000$--------No--------Lien
Jay BeagleToronto Marlies (TOR)C/RW371985-10-16No210 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$235,714$700,000$150,000$0$0$No------------------Lien
Jean-Luc FoudyToronto Marlies (TOR)C212002-03-13No177 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm847,500$181,607$0$0$No847,500$--------No--------Lien
Jonathan DahlenToronto Marlies (TOR)C/LW/RW251997-12-20No180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Josh LeivoToronto Marlies (TOR)LW/RW301993-05-26No192 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$214,286$700,000$150,000$0$0$No------------------Lien / Lien NHL
Kevin MandoleseToronto Marlies (TOR)G232000-08-22No180 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No------------------Lien
Marc JonstoneToronto Marlies (TOR)RW271996-06-19 07:40:23No183 Lbs6 ft10NoNoN/ANoNo2FalseFalsePro & Farm775,000$166,071$0$0$No775,000$--------No--------
Martin FrkToronto Marlies (TOR)RW291993-10-05No210 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,875,000$401,786$700,000$150,000$0$0$No1,875,000$--------No--------Lien
Martin JonesToronto Marlies (TOR)G331990-01-10No190 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm875,000$187,500$0$0$No------------------Lien
Maxime Lajoie Toronto Marlies (TOR)D251997-11-05 10:57:51Yes185 Lbs6 ft10NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$750,000$160,714$0$0$No------------------Lien
Michal KempnyToronto Marlies (TOR)D331990-09-08No192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,150,000$246,429$700,000$150,000$0$0$No------------------Lien
Mikko KokkonenToronto Marlies (TOR)D222001-01-18 11:01:06Yes183 Lbs7 ft7NoNoN/ANoNo2FalseFalsePro & Farm846,667$181,429$750,000$160,714$0$0$No846,667$--------No--------Lien
Miles WoodToronto Marlies (TOR)LW281995-09-13 15:24:28No188 Lbs7 ft4NoNoN/ANoNo6FalseFalsePro & Farm2,500,000$535,714$700,000$150,000$0$0$No2,500,000$2,500,000$2,500,000$2,500,000$2,500,000$----NoNoNoNoNo----
Nathan BeaulieuToronto Marlies (TOR)D301992-12-05No200 Lbs6 ft2NoNoN/ANoNo3FalseFalseFarm Only1,400,000$300,000$700,000$150,000$0$0$No1,400,000$1,400,000$-------NoNo-------Lien / Lien NHL
Nick AbruzzeseToronto Marlies (TOR)C/LW241999-06-04 08:08:35No180 Lbs6 ft11NoNoN/ANoNo2FalseFalsePro & Farm775,000$166,071$0$0$No775,000$--------No--------
Nolan PatrickToronto Marlies (TOR)C/RW251998-09-19No201 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm2,000,000$428,571$700,000$150,000$0$0$No2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Rem PitlickToronto Marlies (TOR)C/RW261997-04-02No196 Lbs5 ft11NoNoWaiverNoNo1FalseFalsePro & Farm1,100,000$235,714$700,000$150,000$0$0$No------------------Lien / Lien NHL
Sam GagnerToronto Marlies (TOR)C/RW341989-08-10No197 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,900,000$407,143$700,000$150,000$0$0$No1,900,000$--------No--------Lien / Lien NHL
Sam LaffertyToronto Marlies (TOR)C/LW/RW281995-03-06No195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,150,000$246,429$0$0$No------------------Lien / Lien NHL
Sam SteelToronto Marlies (TOR)C251998-02-03No184 Lbs5 ft11NoNoTrade2024-02-25NoNo1FalseFalsePro & Farm850,000$182,143$0$0$No------------------Lien / Lien NHL
Slater KoekkoekToronto Marlies (TOR)D291994-02-18No193 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$267,857$700,000$150,000$0$0$No1,250,000$--------No--------Lien
Thomas GreissToronto Marlies (TOR)G371986-01-29No219 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$171,429$700,000$150,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2927.38193 Lbs6 ft51.691,114,828$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan DahlenNolan PatrickSam Gagner42014
2Josh LeivoSam SteelMartin Frk34014
3Sam LaffertyChris TierneyJay Beagle19041
4Miles WoodDylan GambrellRem Pitlick5131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin MillerNathan Beaulieu42113
2Slater KoekkoekMichal Kempny34113
3Conor TimminsJacob Bernard-Docker19131
4Colin MillerNathan Beaulieu5131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan DahlenJay BeagleSam Gagner60005
2Josh LeivoNolan PatrickMartin Frk40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin MillerNathan Beaulieu60023
2Slater KoekkoekMichal Kempny40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Josh LeivoJay Beagle60050
2Dylan GambrellSam Lafferty40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin MillerNathan Beaulieu60050
2Slater KoekkoekMichal Kempny40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Gagner60140Colin MillerNathan Beaulieu60140
2Jay Beagle40140Slater KoekkoekMichal Kempny40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam GagnerJonathan Dahlen60122
2Nolan PatrickJosh Leivo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin MillerNathan Beaulieu60122
2Slater KoekkoekMichal Kempny40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan DahlenSam GagnerMartin FrkColin MillerNathan Beaulieu
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dylan GambrellSam LaffertyJay BeagleColin MillerNathan Beaulieu
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Leivo, Jay Beagle, Sam LaffertyJosh Leivo, Jay BeagleJosh Leivo
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Slater Koekkoek, Colin Miller, Nathan BeaulieuMichal KempnyMichal Kempny, Conor Timmins
Tirs de pénalité
Jonathan Dahlen, Nolan Patrick, Martin Frk, Sam Gagner, Miles Wood
Gardien
#1 : Martin Jones, #2 : Thomas Greiss
Lignes d’attaque personnalisées en prolongation
Dylan Gambrell, Sam Gagner, Martin Frk, Jonathan Dahlen, Josh Leivo, Jay Beagle, Jay Beagle, Sam Lafferty, Nolan Patrick, Miles Wood, Chris Tierney
Lignes de défense personnalisées en prolongation
Colin Miller, Nathan Beaulieu, Slater Koekkoek, Michal Kempny, Conor Timmins


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
1Canucks d'abbotsford64200000211293120000098133000000124880.6672138590018221912072031961912315240349514321.43%15380.00%038669655.46%34666751.87%16330653.27%518368464146265134
2Checkers 64200000181083210000076132100000114780.66718325002182219116820319619123146432811317211.76%12191.67%038669655.46%34666751.87%16330653.27%518368464146265134
3Grand Rapids Griffins74300000181714310000011923120000078-180.57118314900182219121420319619123174571611019421.05%8187.50%038669655.46%34666751.87%16330653.27%518368464146265134
4Harford Wolf Pack11000000312110000003120000000000021.0003690018221912420319619123359418100.00%20100.00%038669655.46%34666751.87%16330653.27%518368464146265134
Total20137000006040201174000003024696300000301614260.65060107167021822191613203196191235071498233651917.65%37586.49%038669655.46%34666751.87%16330653.27%518368464146265134
_Since Last GM Reset20137000006040201174000003024696300000301614260.65060107167021822191613203196191235071498233651917.65%37586.49%038669655.46%34666751.87%16330653.27%518368464146265134
_Vs Conference19127000005739181064000002723496300000301614240.63257101158021822191589203196191234721407831850918.00%35585.71%038669655.46%34666751.87%16330653.27%518368464146265134

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2026W2601071676135071498233602
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2013700006040
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
117400003024
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
96300003016
Derniers 10 matchs
WLOTWOTL SOWSOL
621100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
51917.65%37586.49%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
203196191231822191
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
38669655.46%34666751.87%16330653.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
518368464146265134


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 - 2024-04-235Canucks d'abbotsford1Toronto Marlies4WSommaire du match
2 - 2024-04-2413Canucks d'abbotsford3Toronto Marlies2LSommaire du match
3 - 2024-04-2521Toronto Marlies4Canucks d'abbotsford1WSommaire du match
4 - 2024-04-2629Toronto Marlies5Canucks d'abbotsford2WSommaire du match
5 - 2024-04-2737Canucks d'abbotsford4Toronto Marlies3LXSommaire du match
6 - 2024-04-2845Toronto Marlies3Canucks d'abbotsford1WSommaire du match
8 - 2024-04-3059Checkers 0Toronto Marlies1WSommaire du match
9 - 2024-05-0163Checkers 4Toronto Marlies3LXSommaire du match
10 - 2024-05-0267Toronto Marlies1Checkers 2LSommaire du match
11 - 2024-05-0371Toronto Marlies6Checkers 0WSommaire du match
12 - 2024-05-0475Checkers 2Toronto Marlies3WSommaire du match
13 - 2024-05-0579Toronto Marlies4Checkers 2WSommaire du match
15 - 2024-05-0786Grand Rapids Griffins2Toronto Marlies3WXSommaire du match
16 - 2024-05-0888Grand Rapids Griffins3Toronto Marlies1LSommaire du match
17 - 2024-05-0990Toronto Marlies4Grand Rapids Griffins1WSommaire du match
18 - 2024-05-1092Toronto Marlies1Grand Rapids Griffins4LSommaire du match
19 - 2024-05-1194Grand Rapids Griffins2Toronto Marlies4WSommaire du match
20 - 2024-05-1296Toronto Marlies2Grand Rapids Griffins3LXSommaire du match
21 - 2024-05-1398Grand Rapids Griffins2Toronto Marlies3WSommaire du match
22 - 2024-05-1499Harford Wolf Pack1Toronto Marlies3WSommaire du match
23 - 2024-05-15100Harford Wolf Pack-Toronto Marlies-
24 - 2024-05-16101Toronto Marlies-Harford Wolf Pack-
25 - 2024-05-17102Toronto Marlies-Harford Wolf Pack-
26 - 2024-05-18103Harford Wolf Pack-Toronto Marlies-
27 - 2024-05-19104Toronto Marlies-Harford Wolf Pack-
28 - 2024-05-20105Harford Wolf Pack-Toronto Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance22,00011,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-6 3000 - 100.00% 87,500$962,500$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,233,000$ 1,485,000$ 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$ 6 0$ 0$




Toronto Marlies Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Toronto Marlies Leaders des statistiques des gardiens (saison régulière)

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

Toronto Marlies Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Toronto Marlies Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Toronto Marlies Leaders des statistiques des gardiens (séries éliminatoires)

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