Connexion

Toronto Marlies
GP: 52 | W: 23 | L: 24 | OTL: 5 | P: 51
GF: 189 | GA: 204 | PP%: 19.57% | PK%: 80.86%
DG: DJ | Morale : 99 | Moyenne d’équipe : 67
Prochains matchs #737 vs Lehigh Valley Phantoms
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Centre de jeu
San Diego Gulls
29-21-3, 61pts
5
FINAL
3 Toronto Marlies
23-24-5, 51pts
Team Stats
L1SéquenceW1
13-10-3Fiche domicile9-13-3
16-11-0Fiche domicile14-11-2
6-3-1Derniers 10 matchs3-4-3
3.89Buts par match 3.63
3.77Buts contre par match 3.92
18.87%Pourcentage en avantage numérique19.57%
76.80%Pourcentage en désavantage numérique80.86%
Hartford Wolfpack
25-20-7, 57pts
1
FINAL
4 Toronto Marlies
23-24-5, 51pts
Team Stats
L1SéquenceW1
13-11-3Fiche domicile9-13-3
12-9-4Fiche domicile14-11-2
6-4-0Derniers 10 matchs3-4-3
3.81Buts par match 3.63
3.81Buts contre par match 3.92
18.80%Pourcentage en avantage numérique19.57%
77.37%Pourcentage en désavantage numérique80.86%
Lehigh Valley Phantoms
24-23-4, 52pts
Jour 126
Toronto Marlies
23-24-5, 51pts
Statistiques d’équipe
W2SéquenceW1
14-11-1Fiche domicile9-13-3
10-12-3Fiche visiteur14-11-2
7-2-110 derniers matchs3-4-3
3.53Buts par match 3.63
3.67Buts contre par match 3.63
24.81%Pourcentage en avantage numérique19.57%
85.83%Pourcentage en désavantage numérique80.86%
Manitoba Moose
29-21-1, 59pts
Jour 130
Toronto Marlies
23-24-5, 51pts
Statistiques d’équipe
W1SéquenceW1
14-12-1Fiche domicile9-13-3
15-9-0Fiche visiteur14-11-2
4-6-010 derniers matchs3-4-3
3.33Buts par match 3.63
3.00Buts contre par match 3.63
13.53%Pourcentage en avantage numérique19.57%
81.20%Pourcentage en désavantage numérique80.86%
Toronto Marlies
23-24-5, 51pts
Jour 132
Utica Comets
24-23-6, 54pts
Statistiques d’équipe
W1SéquenceL2
9-13-3Fiche domicile14-11-1
14-11-2Fiche visiteur10-12-5
3-4-310 derniers matchs5-5-0
3.63Buts par match 3.85
3.92Buts contre par match 3.85
19.57%Pourcentage en avantage numérique24.62%
80.86%Pourcentage en désavantage numérique77.37%
Meneurs d'équipe
Buts
Jaedon Descheneau
40
Passes
Jaedon Descheneau
43
Points
Jaedon Descheneau
83
Plus/Moins
Jaedon Descheneau
18
Victoires
Yaniv Perets
15
Pourcentage d’arrêts
Michael Wall
0.913

Statistiques d’équipe
Buts pour
189
3.63 GFG
Tirs pour
2050
39.42 Avg
Pourcentage en avantage numérique
19.6%
27 GF
Début de zone offensive
37.7%
Buts contre
204
3.92 GAA
Tirs contre
2061
39.63 Avg
Pourcentage en désavantage numérique
80.9%%
31 GA
Début de la zone défensive
39.0%
Informations de l'équipe

Directeur généralDJ
EntraîneurMartin St-Louis
DivisionEastern
ConférenceConference 1
CapitaineMatt Frattin
Assistant #1Connor Bedard
Assistant #2Mark Mitera


Informations de l’aréna

Capacité10,000
Assistance4,104
Billets de saison4,000


Informations de la formation

Équipe Pro27
Équipe Mineure22
Limite contact 49 / 75
Espoirs1


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) (A)X100.007337817275787881797779727946989699710183925,000$
2Jaedon DescheneauXX100.0073427480758081828775775670767347997002921,400,000$
3Andreas AthanasiouXX100.0084507080797981748767746868827849996902921,100,000$
4Theodor Niederbach (R)XX100.007029778571737285777975727146437299690211925,000$
5T.J. FoxXX100.003229886768178828779735271808228996903911,499,999$
6Zach HamillXX100.004310988775848367876258736899992499680352500,001$
7Shane Wright (R)X98.707333757277666683797873717355658899680193925,000$
8Matt Frattin (C)XX100.007036798777798363555267676899992299670351500,001$
9Liam Ohgren (R)X100.007436767077707079637076737550618099670192925,000$
10Brad Lambert (R)XX100.007131777275686881797674727462418199670193925,000$
11Tomas MarcinkoXX100.008348767979798254885357696399991699650352500,001$
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 Mitera (A)X100.004915988978787848544436764599992299670372500,001$
18Andrej SekeraX100.003020988874615955654653875999993399670371950,000$
19Tom Willander (R)X100.007235757473666663637166776642428599660183925,000$
20Ludwig ByströmX100.007240828477808145514045696074715199650292600,000$
21David Reinbacher (R)X100.007337757375666665637071747142429199650183925,000$
22Andrew Peeke (R)X100.006327858584757955485343675043446699630252500,001$
Rayé
1David Pastrnak (R)X100.006229798375778057484957666570556599620271510,000$
MOYENNE D’ÉQUIPE99.91673381807775766670636471667071559967
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
1Jaedon DescheneauToronto Marlies (TOR)C/RW514043831840076793168917712.66%33100919.8049132098000004354.19%9676126021.6401000573
2Shane WrightToronto Marlies (TOR)C52294069428077861996614814.57%2594118.11981727123000002050.97%12932920101.4700000345
3Connor BedardToronto Marlies (TOR)C52274067510072442106214612.86%2995318.346131941124000113143.48%923214021.4034000521
4Theodor NiederbachToronto Marlies (TOR)C/RW49292655220053572096211713.88%2683517.04235491000003548.45%4854716001.3200000442
5Andreas AthanasiouToronto Marlies (TOR)C/LW42153247-1640106556183561338.20%2483119.805611211000002402152.67%10103223001.1301110100
6Brad LambertToronto Marlies (TOR)C/RW48152439102807253177541048.47%1980316.740556870002132045.45%2642124000.9700000210
7T.J. FoxToronto Marlies (TOR)C/RW32181634600621132457413.64%848715.24224330000002150.00%184316001.3900000322
8Liam OhgrenToronto Marlies (TOR)LW511217299160645413142689.16%2084316.553038751121233042.47%732524000.6912000112
9Tomas MarcinkoToronto Marlies (TOR)C/RW5281523512050644872316.67%2967713.040000111271420057.66%64025000.6800000003
10Charlie StramelToronto Marlies (TOR)C/RW5291322-11441077619132669.89%2586416.6231415120000001051.14%3071221000.5100101002
11Tom WillanderToronto Marlies (TOR)D5201818-616053515932370%7699319.110228116022484000%02247000.3600000000
12Matt FrattinToronto Marlies (TOR)LW/RW5261117-118036328722566.90%2157010.9800002112101431040.91%22269000.6000000011
13Zach HamillToronto Marlies (TOR)C/RW5211516-13001927103277910.68%1856110.80000062138984251.30%1151714000.5700000110
14Logan MaillouxToronto Marlies (TOR)D5211011-1212051496913311.45%5694118.10011713600001000%01435000.2313000000
15David ReinbacherToronto Marlies (TOR)D521910-745541385119181.96%6082515.8700008000385000%01241000.2400010000
16Mark MiteraToronto Marlies (TOR)D5216760012473516202.86%5380115.41000010003117000%0227000.1701000000
17Andrej SekeraToronto Marlies (TOR)D31077-18000393517210%4559819.31011217000259000%0327000.2300000000
18Brayden McNabbToronto Marlies (TOR)D51055010016283111130%334949.6900001000004000%0516000.2000000000
19Ludwig ByströmToronto Marlies (TOR)D2704411207712510%1929711.0300000000186000%0010000.2700000000
20Carl DahlstromToronto Marlies (TOR)D24011220234210%5823.4500000011047000%002000.2400000000
21Jim O'BrienToronto Marlies (TOR)C/RW43011-200584230%31433.33000000001810053.33%1504000.1400000000
22Andrew PeekeToronto Marlies (TOR)D12000320183420%812410.3500000000232000%00500000000000
Statistiques d’équipe totales ou en moyenne981222343565-15335258559122189685133810.14%6351468414.9734518516211535712471064271351.86%5467393416140.77512221252321
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)28151300.9033.791617001021050471021.0003289231
2Linus SoderstromToronto Marlies (TOR)114520.9054.096460044463205110.50061144110
3Michael WallToronto Marlies (TOR)73220.9133.424210024275134200071001
4Jake KiellyToronto Marlies (TOR)83320.9093.7446500293171460000822100
Statistiques d’équipe totales ou en moyenne54252360.9053.7931500019921059563395476442


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$376,316$0$0$No1,100,000$--------No--------
Andrej SekeraToronto Marlies (TOR)D371977-08-06 20:38:02No200 Lbs6 ft0NoNoTrade2024-03-01NoNo1Farm Only950,000$325,000$0$0$No------------------
Andrew PeekeToronto Marlies (TOR)D251989-10-11 15:38:11Yes225 Lbs6 ft9NoNoN/ANoNo2Pro & Farm500,001$171,053$0$0$No500,001$--------No--------
Brad LambertToronto Marlies (TOR)C/RW191995-08-19 12:10:22Yes183 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$316,447$0$0$No925,000$925,000$-------NoNo-------
Brayden McNabbToronto Marlies (TOR)D321982-08-07 02:38:02No238 Lbs6 ft6NoNoN/ANoNo2Pro & Farm2,000,000$684,211$0$0$No2,000,000$--------No--------
Carl DahlstromToronto Marlies (TOR)D291985-10-20 08:40:03No224 Lbs6 ft4NoNoTrade2024-02-25NoNo1Pro & Farm600,000$205,263$0$0$No------------------
Charlie StramelToronto Marlies (TOR)C/RW181996-08-19 12:01:07Yes216 Lbs6 ft3NoNoN/ANoNo3Pro & Farm925,000$316,447$0$0$No925,000$925,000$-------NoNo-------
Connor BedardToronto Marlies (TOR)C181996-08-19 11:57:31Yes185 Lbs5 ft10NoNoN/ANoNo3Pro & Farm925,000$316,447$0$0$No925,000$925,000$-------NoNo-------
David PastrnakToronto Marlies (TOR)RW271987-11-06 05:51:05Yes198 Lbs6 ft0NoNoTrade2024-03-01NoNo1Pro & Farm510,000$174,474$0$0$No------------------
David ReinbacherToronto Marlies (TOR)D181996-08-19 11:58:23Yes187 Lbs6 ft2NoNoN/ANoNo3Pro & Farm925,000$316,447$0$0$No925,000$925,000$-------NoNo-------
Jaedon DescheneauToronto Marlies (TOR)C/RW291985-10-20 08:42:48No210 Lbs5 ft10NoNoTrade2024-03-01NoNo2Farm Only1,400,000$478,947$0$0$No1,400,000$--------No--------
Jake KiellyToronto Marlies (TOR)G271987-08-17 05:13:30Yes201 Lbs6 ft2NoNoN/ANoNo3Pro & Farm500,000$171,053$0$0$No500,000$500,000$-------NoNo-------
Jim O'BrienToronto Marlies (TOR)C/RW351979-08-06 08:38:02No212 Lbs6 ft2NoNoN/ANoNo2Pro & Farm500,001$171,053$0$0$No500,001$--------No--------
Liam OhgrenToronto Marlies (TOR)LW191995-09-01 05:49:21Yes207 Lbs6 ft3NoNoTrade2024-01-07NoNo2Pro & Farm925,000$316,447$0$0$No925,000$--------No--------
Linus SoderstromToronto Marlies (TOR)G281986-10-20 09:01:32No210 Lbs6 ft5NoNoTrade2024-03-01NoNo1Pro & Farm525,000$179,605$0$0$No------------------
Logan MaillouxToronto Marlies (TOR)D201994-09-09 05:45:33Yes212 Lbs6 ft3NoNoN/ANoNo3Pro & Farm925,000$316,447$0$0$No925,000$925,000$-------NoNo-------
Ludwig ByströmToronto Marlies (TOR)D291985-10-05 14:45:48No210 Lbs6 ft0NoNoN/ANoNo2Pro & Farm600,000$205,263$0$0$No600,000$--------No--------
Mark MiteraToronto Marlies (TOR)D371977-08-06 20:38:02No209 Lbs6 ft3NoNoN/ANoNo2Pro & Farm500,001$171,053$0$0$No500,001$--------No--------
Matt FrattinToronto Marlies (TOR)LW/RW351979-10-14 13:10:32No213 Lbs6 ft1NoNoN/ANoNo1Pro & Farm500,001$171,053$0$0$No------------------
Michael WallToronto Marlies (TOR)G381976-08-06 14:38:02No214 Lbs6 ft2NoNoTrade2024-02-17NoNo2Pro & Farm550,000$188,158$0$0$No550,000$--------No--------
Shane WrightToronto Marlies (TOR)C191995-10-01 08:10:40Yes198 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$316,447$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$513,158$0$0$No------------------
Theodor NiederbachToronto Marlies (TOR)C/RW211993-08-29 14:14:37Yes178 Lbs6 ft0NoNoN/ANoNo1Pro & Farm925,000$316,447$0$0$No------------------
Tom WillanderToronto Marlies (TOR)D181996-08-19 11:59:59Yes179 Lbs6 ft1NoNoN/ANoNo3Pro & Farm925,000$316,447$0$0$No925,000$925,000$-------NoNo-------
Tomas MarcinkoToronto Marlies (TOR)C/RW351979-10-14 10:08:44No218 Lbs6 ft4NoNoN/ANoNo2Pro & Farm500,001$171,053$0$0$No500,001$--------No--------
Yaniv PeretsToronto Marlies (TOR)G231991-08-19 12:06:44Yes181 Lbs6 ft1NoNoN/ANoNo3Pro & Farm650,000$222,368$0$0$No650,000$650,000$-------NoNo-------
Zach HamillToronto Marlies (TOR)C/RW351979-08-06 08:38:02No200 Lbs5 ft11NoNoN/ANoNo2Pro & Farm500,001$171,053$0$0$No500,001$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2727.37205 Lbs6 ft22.07822,593$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor BedardShane WrightJaedon Descheneau33014
2Liam OhgrenCharlie StramelBrad Lambert33113
3Theodor NiederbachAndreas AthanasiouT.J. Fox33122
4Matt FrattinZach HamillJim O'Brien1131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tom WillanderCarl Dahlstrom30032
2David ReinbacherMark Mitera30032
3Logan MaillouxLudwig Byström30032
4Andrew PeekeBrayden McNabb10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor BedardShane WrightCharlie Stramel55113
2Liam OhgrenJaedon DescheneauBrad Lambert45113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan MaillouxTom Willander55212
2David ReinbacherTheodor Niederbach45212
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tomas MarcinkoMatt Frattin55140
2Zach HamillJim O'Brien45140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrej SekeraAndrew Peeke55140
2Ludwig ByströmCarl Dahlstrom45140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zach Hamill55050Andrej SekeraAndrew Peeke55140
2Tomas Marcinko45050Ludwig ByströmCarl Dahlstrom45140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Shane WrightConnor Bedard60122
2Jaedon DescheneauTheodor Niederbach40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1David ReinbacherMark Mitera60032
2Tom WillanderCarl Dahlstrom40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Connor BedardShane WrightJaedon DescheneauLogan MaillouxTom Willander
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam OhgrenCharlie StramelBrad LambertMark MiteraDavid Reinbacher
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brad Lambert, Connor Bedard, Tomas MarcinkoAndreas Athanasiou, T.J. FoxCharlie Stramel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Andrej Sekera, Ludwig Byström, Mark MiteraBrayden McNabbTom Willander, David Reinbacher
Tirs de pénalité
Connor Bedard, Logan Mailloux, Liam Ohgren, Shane Wright, Brad Lambert
Gardien
#1 : Michael Wall, #2 : Yaniv Perets
Lignes d’attaque personnalisées en prolongation
Connor Bedard, Shane Wright, T.J. Fox, Liam Ohgren, Brad Lambert, Charlie Stramel, Charlie Stramel, Theodor Niederbach, Tomas Marcinko, Jaedon Descheneau, Matt Frattin
Lignes de défense personnalisées en prolongation
Logan Mailloux, Tom Willander, David Reinbacher, Carl Dahlstrom, 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 Canucks2110000046-21010000015-41100000031220.500459006062635747476935962176281941300.00%7185.71%1678137349.38%734142351.58%44584952.41%11326651089466924457
2Bakersfield Condors2020000049-51010000034-11010000015-400.00046100060626358574769359621812812345120.00%6183.33%0678137349.38%734142351.58%44584952.41%11326651089466924457
3Belleville Senators21000010972100000104311100000054141.000913220060626357674769359621792312417228.57%60100.00%0678137349.38%734142351.58%44584952.41%11326651089466924457
4Bridgeport's Islanders20101000810-21010000036-31000100054120.500814220060626357574769359621761914367228.57%7357.14%1678137349.38%734142351.58%44584952.41%11326651089466924457
5Calgary Wranglers211000008801010000035-21100000053220.50081119006062635847476935962167191426600.00%7357.14%0678137349.38%734142351.58%44584952.41%11326651089466924457
6Charlotte Checkers2010010036-31000010023-11010000013-210.2503580060626358774769359621734216385120.00%8275.00%0678137349.38%734142351.58%44584952.41%11326651089466924457
7Chicago Wolves220000001239110000008171100000042241.0001218300060626357674769359621822218354125.00%9188.89%0678137349.38%734142351.58%44584952.41%11326651089466924457
8Colorado Eagles220000001358110000006241100000073441.0001322350060626357474769359621732910359444.44%5260.00%0678137349.38%734142351.58%44584952.41%11326651089466924457
9Grand Rapids Griffins220000001055110000005321100000052341.0001019290060626358874769359621993214353133.33%7185.71%0678137349.38%734142351.58%44584952.41%11326651089466924457
10Hartford Wolfpack21100000651110000004131010000024-220.50061117006062635637476935962170191844300.00%9188.89%0678137349.38%734142351.58%44584952.41%11326651089466924457
11Henderson Silver Knights220000001073110000005411100000053241.0001015250060626359474769359621912420307342.86%10460.00%0678137349.38%734142351.58%44584952.41%11326651089466924457
12Hershey Bears2020000049-51010000024-21010000025-300.0004610006062635767476935962164241240400.00%6183.33%0678137349.38%734142351.58%44584952.41%11326651089466924457
13Iowa Wild210001009631000010034-11100000062430.750915240060626358074769359621692912424250.00%6266.67%1678137349.38%734142351.58%44584952.41%11326651089466924457
14Laval Rocket20100100810-21010000045-11000010045-110.25081220006062635937476935962185204358225.00%20100.00%1678137349.38%734142351.58%44584952.41%11326651089466924457
15Lehigh Valley Phantoms1010000035-2000000000001010000035-200.00034700606263531747693596215115215300.00%10100.00%0678137349.38%734142351.58%44584952.41%11326651089466924457
16Manitoba Moose1010000024-2000000000001010000024-200.000235106062635387476935962139141017300.00%50100.00%0678137349.38%734142351.58%44584952.41%11326651089466924457
17Ontario Reign20000110880100000106511000010023-130.750811190060626357674769359621942716286116.67%8187.50%0678137349.38%734142351.58%44584952.41%11326651089466924457
18Providence Bruins2110000078-11010000046-21100000032120.50071219006062635807476935962173311036800.00%50100.00%0678137349.38%734142351.58%44584952.41%11326651089466924457
19Rochester Americans2020000046-21010000034-11010000012-100.0004711006062635727476935962174321034400.00%5180.00%0678137349.38%734142351.58%44584952.41%11326651089466924457
20Rockford IceHogs20101000913-4100010005411010000049-520.5009152400606263580747693596219126163712325.00%3166.67%0678137349.38%734142351.58%44584952.41%11326651089466924457
21San Diego Gulls 2110000010911010000035-21100000074320.500101828006062635857476935962184216338225.00%30100.00%0678137349.38%734142351.58%44584952.41%11326651089466924457
22San Jose Barracuda211000007701010000035-21100000042220.50071118106062635827476935962183241040200.00%5180.00%0678137349.38%734142351.58%44584952.41%11326651089466924457
23Springfield Thunderbirds20200000313-101010000026-41010000017-600.000347006062635807476935962175401640400.00%8362.50%0678137349.38%734142351.58%44584952.41%11326651089466924457
24Syracuse Crunch2110000037-41010000016-51100000021120.500369006062635797476935962157241054400.00%50100.00%0678137349.38%734142351.58%44584952.41%11326651089466924457
25Texas Stars220000001367110000004311100000093641.0001320330060626357674769359621771519324250.00%70100.00%0678137349.38%734142351.58%44584952.41%11326651089466924457
26Utica Comets2020000059-41010000035-21010000024-200.000591410606263573747693596218526833100.00%40100.00%1678137349.38%734142351.58%44584952.41%11326651089466924457
27Wilkes-Barre/Scranton Penguins20100001713-61000000156-11010000027-510.25071017006062635737476935962193291437400.00%8275.00%0678137349.38%734142351.58%44584952.41%11326651089466924457
Total52192402421189204-15256130122192105-13271311012009799-2510.49018930249130606263520507476935962120616823429481382719.57%1623180.86%5678137349.38%734142351.58%44584952.41%11326651089466924457
_Since Last GM Reset52192402421189204-15256130122192105-13271311012009799-2510.49018930249130606263520507476935962120616823429481382719.57%1623180.86%5678137349.38%734142351.58%44584952.41%11326651089466924457
_Vs Conference52192402421189204-15256130122192105-13271311012009799-2510.49018930249130606263520507476935962120616823429481382719.57%1623180.86%5678137349.38%734142351.58%44584952.41%11326651089466924457
_Vs Division276140121089103-141327001104853-51447011004150-9180.33389146235106062635104274769359621106135816251365913.85%821285.37%3678137349.38%734142351.58%44584952.41%11326651089466924457

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5251W11893024912050206168234294830
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5219242421189204
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25613122192105
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
27131112009799
Derniers 10 matchs
WLOTWOTL SOWSOL
340300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1382719.57%1623180.86%5
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
747693596216062635
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
678137349.38%734142351.58%44584952.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11326651089466924457


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 Phantoms-Toronto Marlies-
130755Manitoba Moose-Toronto Marlies-
132770Toronto Marlies-Utica Comets-
134782Toronto Marlies-Henderson Silver Knights-
136794Iowa Wild-Toronto Marlies-
137799Rochester Americans-Toronto Marlies-
139815Hartford Wolfpack-Toronto Marlies-
141829San Jose Barracuda-Toronto Marlies-
144845Toronto Marlies-Ontario Reign-
146858Toronto Marlies-Syracuse Crunch-
148868Toronto Marlies-Texas Stars-
151890Lehigh Valley Phantoms-Toronto Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153901Toronto Marlies-Manitoba Moose-
156921Toronto Marlies-Rockford IceHogs-
158933Chicago Wolves-Toronto Marlies-
161953Laval Rocket-Toronto Marlies-
162962Hershey Bears-Toronto Marlies-
165981Toronto Marlies-Bridgeport's Islanders-
166984Toronto Marlies-Calgary Wranglers-
168996Grand Rapids Griffins-Toronto Marlies-
1711019Bakersfield Condors-Toronto Marlies-
1731033Toronto Marlies-Abbotsford's Canucks-
1741034Ontario Reign-Toronto Marlies-
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
Assistance51,96850,620
Assistance PCT41.57%40.50%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 4104 - 41.04% 373,098$9,327,446$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,878,679$ 4,442,000$ 4,442,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,662,886$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,969,565$ 65 28,642$ 1,861,730$




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