Connexion

Toronto Marlies
GP: 75 | W: 35 | L: 33 | OTL: 7 | P: 77
GF: 278 | GA: 289 | PP%: 19.02% | PK%: 78.71%
DG: DJ | Morale : 99 | Moyenne d’équipe : 67
Prochains matchs #1053 vs Belleville Senators
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Centre de jeu
Toronto Marlies
35-33-7, 77pts
3
FINAL
6 Abbotsford's Canucks
41-29-5, 87pts
Team Stats
W1SéquenceL1
17-17-4Fiche domicile20-12-5
18-16-3Fiche domicile21-17-0
5-4-1Derniers 10 matchs6-3-1
3.71Buts par match 3.71
3.85Buts contre par match 3.43
19.02%Pourcentage en avantage numérique15.35%
78.71%Pourcentage en désavantage numérique82.76%
Ontario Reign
45-19-10, 100pts
2
FINAL
4 Toronto Marlies
35-33-7, 77pts
Team Stats
L1SéquenceW1
20-13-3Fiche domicile17-17-4
25-6-7Fiche domicile18-16-3
6-4-0Derniers 10 matchs5-4-1
3.95Buts par match 3.71
3.24Buts contre par match 3.85
16.35%Pourcentage en avantage numérique19.02%
72.55%Pourcentage en désavantage numérique78.71%
Toronto Marlies
35-33-7, 77pts
Jour 176
Belleville Senators
33-33-8, 74pts
Statistiques d’équipe
W1SéquenceL2
17-17-4Fiche domicile18-13-3
18-16-3Fiche visiteur15-20-5
5-4-110 derniers matchs4-4-2
3.71Buts par match 3.51
3.85Buts contre par match 3.51
19.02%Pourcentage en avantage numérique15.06%
78.71%Pourcentage en désavantage numérique77.29%
Toronto Marlies
35-33-7, 77pts
Jour 178
Wilkes-Barre/Scranton Penguins
42-28-4, 88pts
Statistiques d’équipe
W1SéquenceL3
17-17-4Fiche domicile24-13-1
18-16-3Fiche visiteur18-15-3
5-4-110 derniers matchs3-7-0
3.71Buts par match 3.99
3.85Buts contre par match 3.99
19.02%Pourcentage en avantage numérique23.86%
78.71%Pourcentage en désavantage numérique78.54%
San Diego Gulls
38-31-5, 81pts
Jour 182
Toronto Marlies
35-33-7, 77pts
Statistiques d’équipe
OTL1SéquenceW1
16-16-5Fiche domicile17-17-4
22-15-0Fiche visiteur18-16-3
5-3-210 derniers matchs5-4-1
3.84Buts par match 3.71
3.89Buts contre par match 3.71
17.84%Pourcentage en avantage numérique19.02%
76.16%Pourcentage en désavantage numérique78.71%
Meneurs d'équipe
Buts
Shane Wright
41
Passes
Connor Bedard
52
Points
Shane Wright
87
Plus/Moins
Brad Lambert
15
Victoires
Yaniv Perets
23
Pourcentage d’arrêts
Michael Wall
0.918

Statistiques d’équipe
Buts pour
278
3.71 GFG
Tirs pour
2991
39.88 Avg
Pourcentage en avantage numérique
19.0%
39 GF
Début de zone offensive
38.0%
Buts contre
289
3.85 GAA
Tirs contre
3001
40.01 Avg
Pourcentage en désavantage numérique
78.7%%
43 GA
Début de la zone défensive
38.6%
Informations de l'équipe

Directeur généralDJ
EntraîneurMartin St-Louis
DivisionEastern
ConférenceConference 1
CapitaineConnor Bedard
Assistant #1T.J. Fox
Assistant #2Andrej Sekera


Informations de l’aréna

Capacité10,000
Assistance4,095
Billets de saison4,000


Informations de la formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 75
Espoirs0


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
1Connor Bedard (R) (C)X100.007337817275787881797779727946989699710183925,000$
2Andreas AthanasiouXX100.0084507080797981748767746868827849996902921,100,000$
3Theodor Niederbach (R)XX100.007029778571737285777975727146437299690211925,000$
4T.J. Fox (A)XX100.003229886768178828779735271808228996903911,499,999$
5Zach HamillXX100.004310988775848367876258736899992499680352500,001$
6Shane Wright (R)X100.007333757277666683797873717355658899680193925,000$
7Matt FrattinXX100.007036798777798363555267676899992299670351500,001$
8Liam Ohgren (R)X99.007436767077707079637076737550618099670192925,000$
9Brad Lambert (R)XX100.007131777275686881797674727462418199670193925,000$
10Tomas MarcinkoXX100.008348767979798254885357696399991699650352500,001$
11Rudolf Balcers (R)X100.00582383817373797152667162706956529965N0262500,001$
12Charlie Stramel (R)XX100.007843737681666665796670777044398499650183925,000$
13Jim O'BrienXX100.006631908778828247864249766599992099640352500,001$
14Brayden McNabbX100.0071408387858583685768726867889227997103222,000,000$
15Carl DahlstromX100.008652748380828358545553715573705699690291600,000$
16Logan Mailloux (R)X100.007837777281808071637273727342516199680203925,000$
17Mark MiteraX100.004915988978787848544436764599992299670372500,001$
18Andrej Sekera (A)X100.003020988874615955654653875999993399670371950,000$
19Tom Willander (R)X100.007235757473666663637166776642428599660183925,000$
20Ludwig ByströmX100.007240828477808145514045696074715199650292600,000$
21David Reinbacher (R)X100.007337757375666665637071747142429199650183925,000$
22Andrew Peeke (R)X100.006327858584757955485343675043446699630252500,001$
Rayé
1Michael Spacek (R)XX97.20633080787675777087686562658063569966N0262500,001$
2David Pastrnak (R)X100.006229798375778057484957666570556599620271510,000$
MOYENNE D’ÉQUIPE99.83663282807775766669636471667070559967
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
1Michael Wall100.00778083888691869591847789992999730382550,000$
2Yaniv Perets (R)100.00808077748383838383808353875999660233650,000$
Rayé
1Jake Kielly (R)100.00777478858078787878778066794499640273500,000$
2Linus Soderstrom100.00828682838880807070676559575999630281525,000$
MOYENNE D’ÉQUIPE100.0079808083848382828177766781489967
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Martin St-Louis85758585757595CAN4851,000,000$


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
1Shane WrightToronto Marlies (TOR)C75414687-52801071212878519614.29%36135418.0612112342180000005050.11%18084025101.2802000545
2Connor BedardToronto Marlies (TOR)C75325284-4160100582998920910.70%39137218.297182553181000113142.64%1294520021.2237000521
3Andreas AthanasiouToronto Marlies (TOR)C/LW65274572-144210112792527318510.71%40121118.6461016261460002415153.63%13074429011.1901110334
4Theodor NiederbachToronto Marlies (TOR)C/RW72333972-424087783069817710.78%40124717.322469147000003547.96%5388127001.1511000453
5Brad LambertToronto Marlies (TOR)C/RW712734611534095692547315310.63%30119416.83178111370002145246.10%2823232011.0211000511
6T.J. FoxToronto Marlies (TOR)C/RW5526335910006442107412412.38%1487115.855491077000002253.46%5354712001.3501000543
7Liam OhgrenToronto Marlies (TOR)LW742122431226010472190669511.05%35123316.67415161261121263144.44%993933000.7025000114
8Zach HamillToronto Marlies (TOR)C/RW75151429-7002233157391089.55%2578610.4900006314101245250.65%1542520000.7400000120
9Matt FrattinToronto Marlies (TOR)LW/RW75141529-6100503814136739.93%287409.8800002224131721144.83%293712000.7800000011
10Tom WillanderToronto Marlies (TOR)D7522729-524077828940472.25%102142218.9612313173022487000%02764000.4100000011
11Charlie StramelToronto Marlies (TOR)C/RW71101929-1854101137612135758.26%34117816.6042621166000001049.49%3941828000.4901101003
12Tomas MarcinkoToronto Marlies (TOR)C/RW75919287160769364103514.06%4196412.8600004112101700057.51%786510000.5800000003
13David ReinbacherToronto Marlies (TOR)D7011617-653557567426331.35%73112316.050000160003101000%02154000.3000010000
14Logan MaillouxToronto Marlies (TOR)D7511516-1418068779625511.04%87137818.38011919500002000%01944000.2315000000
15Andrej SekeraToronto Marlies (TOR)D5411213-17001615123291.96%8393417.30011217101488000%0445100.2800000000
16Brayden McNabbToronto Marlies (TOR)D74099510018303914150%466148.3100001000004000%0718000.2900000000
17Michael SpacekToronto Marlies (TOR)C/RW1163972091128101821.43%315414.0500000000001085.71%790001.1600000201
18Mark MiteraToronto Marlies (TOR)D75178100016645319291.89%89118515.81000010004142000%0340000.1301000000
19Ludwig ByströmToronto Marlies (TOR)D500661240183037840%4965813.1700000000192000%0324000.1800000000
20Jim O'BrienToronto Marlies (TOR)C/RW6605540011138370%82543.860000102211080047.83%6915000.3900000000
21Carl DahlstromToronto Marlies (TOR)D47033812011911320%192615.5700000022070000%037000.2300000000
22Andrew PeekeToronto Marlies (TOR)D3502212031311450%152457.0000000000249000%029000.1600000000
23David PastrnakToronto Marlies (TOR)RW31011002241025.00%0237.680000000004000%000000.8700000000
24Rudolf BalcersToronto Marlies (TOR)LW16011000003000%0110.7301137000000050.00%400001.7201000000
Statistiques d’équipe totales ou en moyenne1434268444712-83752511631209278585416709.62%9362042314.244262104215160081119581304341551.44%6141512558240.70826221312430
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
1Yaniv PeretsToronto Marlies (TOR)42231720.9053.762444001531619729030.733154218442
2Michael WallToronto Marlies (TOR)177720.9183.229870053643297221.00031615031
3Linus SoderstromToronto Marlies (TOR)114520.9054.096460044463205110.50061144110
4Jake KiellyToronto Marlies (TOR)83320.9093.7446500293171460000822100
Statistiques d’équipe totales ou en moyenne78373280.9083.694543002793042137736247799683


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
Andreas AthanasiouToronto Marlies (TOR)C/LW291985-10-05 14:39:25No216 Lbs6 ft2NoNoTrade2024-03-01NoNo2Farm Only1,100,000$86,842$0$0$No1,100,000$--------No--------
Andrej SekeraToronto Marlies (TOR)D371977-08-06 20:38:02No200 Lbs6 ft0NoNoTrade2024-03-01NoNo1Farm Only950,000$75,000$0$0$No------------------
Andrew PeekeToronto Marlies (TOR)D251989-10-11 15:38:11Yes225 Lbs6 ft9NoNoN/ANoNo2Pro & Farm500,001$39,474$0$0$No500,001$--------No--------
Brad LambertToronto Marlies (TOR)C/RW191995-08-19 12:10:22Yes183 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$73,026$0$0$No925,000$925,000$-------NoNo-------
Brayden McNabbToronto Marlies (TOR)D321982-08-07 02:38:02No238 Lbs6 ft6NoNoN/ANoNo2Pro & Farm2,000,000$157,895$0$0$No2,000,000$--------No--------
Carl DahlstromToronto Marlies (TOR)D291985-10-20 08:40:03No224 Lbs6 ft4NoNoTrade2024-02-25NoNo1Pro & Farm600,000$47,368$0$0$No------------------
Charlie StramelToronto Marlies (TOR)C/RW181996-08-19 12:01:07Yes216 Lbs6 ft3NoNoN/ANoNo3Pro & Farm925,000$73,026$0$0$No925,000$925,000$-------NoNo-------
Connor BedardToronto Marlies (TOR)C181996-08-19 11:57:31Yes185 Lbs5 ft10NoNoN/ANoNo3Pro & Farm925,000$73,026$0$0$No925,000$925,000$-------NoNo-------
David PastrnakToronto Marlies (TOR)RW271987-11-06 05:51:05Yes198 Lbs6 ft0NoNoTrade2024-03-01NoNo1Pro & Farm510,000$40,263$0$0$No------------------
David ReinbacherToronto Marlies (TOR)D181996-08-19 11:58:23Yes187 Lbs6 ft2NoNoN/ANoNo3Pro & Farm925,000$73,026$0$0$No925,000$925,000$-------NoNo-------
Jake KiellyToronto Marlies (TOR)G271987-08-17 05:13:30Yes201 Lbs6 ft2NoNoN/ANoNo3Pro & Farm500,000$39,474$0$0$No500,000$500,000$-------NoNo-------
Jim O'BrienToronto Marlies (TOR)C/RW351979-08-06 08:38:02No212 Lbs6 ft2NoNoN/ANoNo2Pro & Farm500,001$39,474$0$0$No500,001$--------No--------
Liam OhgrenToronto Marlies (TOR)LW191995-09-01 05:49:21Yes207 Lbs6 ft3NoNoTrade2024-01-07NoNo2Pro & Farm925,000$73,026$0$0$No925,000$--------No--------
Linus SoderstromToronto Marlies (TOR)G281986-10-20 09:01:32No210 Lbs6 ft5NoNoTrade2024-03-01NoNo1Pro & Farm525,000$41,447$0$0$No------------------
Logan MaillouxToronto Marlies (TOR)D201994-09-09 05:45:33Yes212 Lbs6 ft3NoNoN/ANoNo3Pro & Farm925,000$73,026$0$0$No925,000$925,000$-------NoNo-------
Ludwig ByströmToronto Marlies (TOR)D291985-10-05 14:45:48No210 Lbs6 ft0NoNoN/ANoNo2Pro & Farm600,000$47,368$0$0$No600,000$--------No--------
Mark MiteraToronto Marlies (TOR)D371977-08-06 20:38:02No209 Lbs6 ft3NoNoN/ANoNo2Pro & Farm500,001$39,474$0$0$No500,001$--------No--------
Matt FrattinToronto Marlies (TOR)LW/RW351979-10-14 13:10:32No213 Lbs6 ft1NoNoN/ANoNo1Pro & Farm500,001$39,474$0$0$No------------------
Michael SpacekToronto Marlies (TOR)C/RW261988-09-19 14:35:15Yes203 Lbs6 ft0YesNoFree AgentNoNo22024-03-17Pro & Farm500,001$39,474$0$0$No500,001$--------Yes--------
Michael WallToronto Marlies (TOR)G381976-08-06 14:38:02No214 Lbs6 ft2NoNoTrade2024-02-17NoNo2Pro & Farm550,000$43,421$0$0$No550,000$--------No--------
Rudolf BalcersToronto Marlies (TOR)LW261988-09-19 10:55:34Yes191 Lbs6 ft0YesNoFree AgentNoNo22024-03-17Pro & Farm500,001$39,474$0$0$No500,001$--------Yes--------
Shane WrightToronto Marlies (TOR)C191995-10-01 08:10:40Yes198 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$73,026$0$0$No925,000$925,000$-------NoNo-------
T.J. FoxToronto Marlies (TOR)C/RW391975-08-06 08:38:02No204 Lbs6 ft1NoNoTrade2024-01-31NoNo1Pro & Farm1,499,999$118,421$0$0$No------------------
Theodor NiederbachToronto Marlies (TOR)C/RW211993-08-29 14:14:37Yes178 Lbs6 ft0NoNoN/ANoNo1Pro & Farm925,000$73,026$0$0$No------------------
Tom WillanderToronto Marlies (TOR)D181996-08-19 11:59:59Yes179 Lbs6 ft1NoNoN/ANoNo3Pro & Farm925,000$73,026$0$0$No925,000$925,000$-------NoNo-------
Tomas MarcinkoToronto Marlies (TOR)C/RW351979-10-14 10:08:44No218 Lbs6 ft4NoNoN/ANoNo2Pro & Farm500,001$39,474$0$0$No500,001$--------No--------
Yaniv PeretsToronto Marlies (TOR)G231991-08-19 12:06:44Yes181 Lbs6 ft1NoNoN/ANoNo3Pro & Farm650,000$51,316$0$0$No650,000$650,000$-------NoNo-------
Zach HamillToronto Marlies (TOR)C/RW351979-08-06 08:38:02No200 Lbs5 ft11NoNoN/ANoNo2Pro & Farm500,001$39,474$0$0$No500,001$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2827.21204 Lbs6 ft22.07778,929$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor BedardShane WrightCharlie Stramel30023
2Liam OhgrenT.J. FoxBrad Lambert30023
3Theodor NiederbachAndreas AthanasiouTomas Marcinko30023
4Matt FrattinJim O'BrienZach Hamill10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tom WillanderLudwig Byström30122
2David ReinbacherMark Mitera30122
3Logan MaillouxAndrej Sekera30122
4Brayden McNabbCarl Dahlstrom10131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor BedardShane WrightAndreas Athanasiou50005
2Liam OhgrenT.J. FoxCharlie Stramel50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Theodor NiederbachLogan Mailloux50014
2Brad LambertTom Willander50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tomas MarcinkoZach Hamill50041
2Jim O'BrienMatt Frattin50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1David ReinbacherMark Mitera50140
2Andrej SekeraCarl Dahlstrom50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zach Hamill50140Andrej SekeraCarl Dahlstrom50050
2Jim O'Brien50140Tom WillanderLudwig Byström50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Shane WrightConnor Bedard50113
2T.J. FoxBrad Lambert50113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1David ReinbacherMark Mitera50122
2Logan MaillouxAndrej Sekera50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam OhgrenT.J. FoxBrad LambertTheodor NiederbachLogan Mailloux
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam OhgrenTomas MarcinkoBrad LambertTom WillanderLudwig Byström
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andreas Athanasiou, T.J. Fox, Connor BedardRudolf Balcers, Tomas MarcinkoLiam Ohgren
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Mitera, Brayden McNabb, Andrew PeekeDavid ReinbacherAndrew Peeke, Ludwig Byström
Tirs de pénalité
Connor Bedard, Liam Ohgren, Shane Wright, Logan Mailloux, Brad Lambert
Gardien
#1 : Yaniv Perets, #2 : Michael Wall
Lignes d’attaque personnalisées en prolongation
Theodor Niederbach, Connor Bedard, Shane Wright, Jim O'Brien, Brad Lambert, Liam Ohgren, Liam Ohgren, T.J. Fox, Andreas Athanasiou, Tomas Marcinko, Matt Frattin
Lignes de défense personnalisées en prolongation
Tom Willander, Logan Mailloux, Andrej Sekera, Brayden McNabb, Mark Mitera


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's Canucks31200000712-51010000015-42110000067-120.3337101700909093811910601016895421184327615120.00%11281.82%11034202051.19%1037204950.61%655124352.70%163896815756621327664
2Bakersfield Condors312000001012-2211000009721010000015-420.333101626009090938124106010168954211845144810220.00%7271.43%01034202051.19%1037204950.61%655124352.70%163896815756621327664
3Belleville Senators21000010972100000104311100000054141.00091322009090938761060101689542792312417228.57%60100.00%01034202051.19%1037204950.61%655124352.70%163896815756621327664
4Bridgeport's Islanders31101000131211010000036-321001000106440.667132134009090938112106010168954211134165214321.43%8362.50%11034202051.19%1037204950.61%655124352.70%163896815756621327664
5Calgary Wranglers31200000915-61010000035-221100000610-420.333912210090909381251060101689542138372039600.00%10550.00%01034202051.19%1037204950.61%655124352.70%163896815756621327664
6Charlotte Checkers2010010036-31000010023-11010000013-210.250358009090938871060101689542734216385120.00%8275.00%01034202051.19%1037204950.61%655124352.70%163896815756621327664
7Chicago Wolves330000001841422000000142121100000042261.00018304800909093812310601016895421043120596116.67%10190.00%01034202051.19%1037204950.61%655124352.70%163896815756621327664
8Colorado Eagles220000001358110000006241100000073441.000132235009090938741060101689542732910359444.44%5260.00%01034202051.19%1037204950.61%655124352.70%163896815756621327664
9Grand Rapids Griffins330000001477220000009541100000052361.00014274100909093812810601016895421385118515120.00%9277.78%01034202051.19%1037204950.61%655124352.70%163896815756621327664
10Hartford Wolfpack32100000131032200000011651010000024-240.66713253800909093810310601016895421072922628112.50%11190.91%01034202051.19%1037204950.61%655124352.70%163896815756621327664
11Henderson Silver Knights3210000013121110000005412110000088040.667132134009090938137106010168954213743244410330.00%12466.67%01034202051.19%1037204950.61%655124352.70%163896815756621327664
12Hershey Bears30300000916-720200000711-41010000025-300.0009152410909093810910601016895421043616589111.11%8275.00%01034202051.19%1037204950.61%655124352.70%163896815756621327664
13Iowa Wild311001001312120100100710-31100000062430.500132235009090938118106010168954210840145610330.00%7271.43%11034202051.19%1037204950.61%655124352.70%163896815756621327664
14Laval Rocket301001011215-320100001810-21000010045-120.33312172900909093812810601016895421234165713323.08%30100.00%11034202051.19%1037204950.61%655124352.70%163896815756621327664
15Lehigh Valley Phantoms312000001012-2211000007701010000035-220.3331014240090909381261060101689542140461057800.00%5180.00%11034202051.19%1037204950.61%655124352.70%163896815756621327664
16Manitoba Moose30100011810-2100000102112010000169-330.5008111910909093812510601016895421153616416116.67%8275.00%01034202051.19%1037204950.61%655124352.70%163896815756621327664
17Ontario Reign42000110181532100001010732100010088070.875182644009090938158106010168954217560226711327.27%11190.91%11034202051.19%1037204950.61%655124352.70%163896815756621327664
18Providence Bruins2110000078-11010000046-21100000032120.5007121900909093880106010168954273311036800.00%50100.00%01034202051.19%1037204950.61%655124352.70%163896815756621327664
19Rochester Americans3030000059-42020000047-31010000012-100.00059141090909381081060101689542121441451400.00%7185.71%01034202051.19%1037204950.61%655124352.70%163896815756621327664
20Rockford IceHogs302010001117-61000100054120200000613-720.333111829009090938113106010168954213644225414321.43%6266.67%01034202051.19%1037204950.61%655124352.70%163896815756621327664
21San Diego Gulls 2110000010911010000035-21100000074320.50010182800909093885106010168954284216338225.00%30100.00%01034202051.19%1037204950.61%655124352.70%163896815756621327664
22San Jose Barracuda3210000013103211000009811100000042240.66713213410909093812510601016895421374114573133.33%7271.43%01034202051.19%1037204950.61%655124352.70%163896815756621327664
23Springfield Thunderbirds20200000313-101010000026-41010000017-600.00034700909093880106010168954275401640400.00%8362.50%01034202051.19%1037204950.61%655124352.70%163896815756621327664
24Syracuse Crunch3210000078-11010000016-52200000062440.66771320009090938121106010168954294381263700.00%6183.33%01034202051.19%1037204950.61%655124352.70%163896815756621327664
25Texas Stars3300000017891100000043122000000135861.00017274400909093812110601016895421022521497342.86%80100.00%11034202051.19%1037204950.61%655124352.70%163896815756621327664
26Utica Comets30300000612-61010000035-22020000037-400.000611172090909381131060101689542125381051400.00%50100.00%11034202051.19%1037204950.61%655124352.70%163896815756621327664
27Wilkes-Barre/Scranton Penguins20100001713-61000000156-11010000027-510.2507101700909093873106010168954293291437400.00%8275.00%01034202051.19%1037204950.61%655124352.70%163896815756621327664
Total75303302433278289-1138131701232148150-237171601201130139-9770.513278450728609090938299110601016895423001101742213372053919.02%2024378.71%81034202051.19%1037204950.61%655124352.70%163896815756621327664
_Since Last GM Reset75303302433278289-1138131701232148150-237171601201130139-9770.513278450728609090938299110601016895423001101742213372053919.02%2024378.71%81034202051.19%1037204950.61%655124352.70%163896815756621327664
_Vs Conference75303302433278289-1138131701232148150-237171601201130139-9770.513278450728609090938299110601016895423001101742213372053919.02%2024378.71%81034202051.19%1037204950.61%655124352.70%163896815756621327664
_Vs Division38111801222133139-621510001218283-11768011015156-5320.4211332223554090909381487106010168954214855131967131021312.75%991683.84%41034202051.19%1037204950.61%655124352.70%163896815756621327664

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7577W1278450728299130011017422133760
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7530332433278289
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3813171232148150
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3717161201130139
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2053919.02%2024378.71%8
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
10601016895429090938
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
1034202051.19%1037204950.61%655124352.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
163896815756621327664


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
17Laval Rocket5Toronto Marlies4BLSommaire du match
217Toronto Marlies2Hershey Bears5ALSommaire du match
851Providence Bruins6Toronto Marlies4BLSommaire du match
1066Wilkes-Barre/Scranton Penguins6Toronto Marlies5BLXXSommaire du match
1275Toronto Marlies2Syracuse Crunch1AWSommaire du match
1699Toronto Marlies7Colorado Eagles3AWSommaire du match
17104Toronto Marlies2Manitoba Moose4ALSommaire du match
20120Toronto Marlies4Chicago Wolves2AWSommaire du match
23138Bridgeport's Islanders6Toronto Marlies3BLSommaire du match
25152Henderson Silver Knights4Toronto Marlies5BWSommaire du match
29175Toronto Marlies4San Jose Barracuda2AWSommaire du match
31184Toronto Marlies9Texas Stars3AWSommaire du match
34197Toronto Marlies1Charlotte Checkers3ALSommaire du match
36215Belleville Senators3Toronto Marlies4BWXXSommaire du match
39232Toronto Marlies5Grand Rapids Griffins2AWSommaire du match
42250Bakersfield Condors4Toronto Marlies3BLSommaire du match
45268Utica Comets5Toronto Marlies3BLSommaire du match
48285Toronto Marlies1Bakersfield Condors5ALSommaire du match
50299Toronto Marlies1Springfield Thunderbirds7ALSommaire du match
51304Toronto Marlies2Hartford Wolfpack4ALSommaire du match
53310Toronto Marlies7San Diego Gulls 4AWSommaire du match
57335Toronto Marlies4Rockford IceHogs9ALSommaire du match
60357Toronto Marlies5Bridgeport's Islanders4AWXSommaire du match
61363Hershey Bears4Toronto Marlies2BLSommaire du match
63377Springfield Thunderbirds6Toronto Marlies2BLSommaire du match
68396Grand Rapids Griffins3Toronto Marlies5BWSommaire du match
71418Syracuse Crunch6Toronto Marlies1BLSommaire du match
73432Toronto Marlies5Belleville Senators4AWSommaire du match
75438Toronto Marlies5Calgary Wranglers3AWSommaire du match
77453Calgary Wranglers5Toronto Marlies3BLSommaire du match
78458Ontario Reign5Toronto Marlies6BWXXSommaire du match
80470Colorado Eagles2Toronto Marlies6BWSommaire du match
82484San Jose Barracuda5Toronto Marlies3BLSommaire du match
84492Toronto Marlies3Providence Bruins2AWSommaire du match
87512Toronto Marlies1Rochester Americans2ALSommaire du match
90531Abbotsford's Canucks5Toronto Marlies1BLSommaire du match
94552Toronto Marlies6Iowa Wild2AWSommaire du match
97571Toronto Marlies3Abbotsford's Canucks1AWSommaire du match
98576Chicago Wolves1Toronto Marlies8BWSommaire du match
100589Toronto Marlies5Henderson Silver Knights3AWSommaire du match
102599Toronto Marlies3Lehigh Valley Phantoms5ALSommaire du match
103602Toronto Marlies2Ontario Reign3ALXSommaire du match
106622Toronto Marlies2Wilkes-Barre/Scranton Penguins7ALSommaire du match
108633Toronto Marlies4Laval Rocket5ALXSommaire du match
109638Toronto Marlies2Utica Comets4ALSommaire du match
111651Charlotte Checkers3Toronto Marlies2BLXSommaire du match
113664Rockford IceHogs4Toronto Marlies5BWXSommaire du match
115673Texas Stars3Toronto Marlies4BWSommaire du match
117683Iowa Wild4Toronto Marlies3BLXSommaire du match
121708Rochester Americans4Toronto Marlies3BLSommaire du match
122714San Diego Gulls 5Toronto Marlies3BLSommaire du match
124723Hartford Wolfpack1Toronto Marlies4BWSommaire du match
126737Lehigh Valley Phantoms5Toronto Marlies4BLSommaire du match
130755Manitoba Moose1Toronto Marlies2BWXXSommaire du match
132770Toronto Marlies1Utica Comets3ALSommaire du match
134782Toronto Marlies3Henderson Silver Knights5ALSommaire du match
136794Iowa Wild6Toronto Marlies4BLSommaire du match
137799Rochester Americans3Toronto Marlies1BLSommaire du match
139815Hartford Wolfpack5Toronto Marlies7BWSommaire du match
141829San Jose Barracuda3Toronto Marlies6BWSommaire du match
144845Toronto Marlies6Ontario Reign5AWSommaire du match
146858Toronto Marlies4Syracuse Crunch1AWSommaire du match
148868Toronto Marlies4Texas Stars2AWSommaire du match
151890Lehigh Valley Phantoms2Toronto Marlies3BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153901Toronto Marlies4Manitoba Moose5ALXXSommaire du match
156921Toronto Marlies2Rockford IceHogs4ALSommaire du match
158933Chicago Wolves1Toronto Marlies6BWSommaire du match
161953Laval Rocket5Toronto Marlies4BLXXSommaire du match
162962Hershey Bears7Toronto Marlies5BLSommaire du match
165981Toronto Marlies5Bridgeport's Islanders2AWSommaire du match
166984Toronto Marlies1Calgary Wranglers7ALSommaire du match
168996Grand Rapids Griffins2Toronto Marlies4BWSommaire du match
1711019Bakersfield Condors3Toronto Marlies6BWSommaire du match
1731033Toronto Marlies3Abbotsford's Canucks6ALSommaire du match
1741034Ontario Reign2Toronto Marlies4BWSommaire du match
1761053Toronto Marlies-Belleville Senators-
1781067Toronto Marlies-Wilkes-Barre/Scranton Penguins-
1821090San Diego Gulls -Toronto Marlies-
1831095Toronto Marlies-Providence Bruins-
1851109Colorado Eagles-Toronto Marlies-
1871125Charlotte Checkers-Toronto Marlies-
1901145Toronto Marlies-Springfield Thunderbirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50005000
Prix des billets8045
Assistance78,97976,620
Assistance PCT41.57%40.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
3 4095 - 40.95% 376,065$14,290,457$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,275,831$ 4,362,000$ 4,362,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,796,888$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,128,194$ 15 28,221$ 423,315$




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