Connexion

Toronto Marlies
GP: 56 | W: 27 | L: 21 | OTL: 8 | P: 62
GF: 178 | GA: 165 | PP%: 16.03% | PK%: 80.70%
DG: DJ | Morale : 99 | Moyenne d’équipe : 67
Prochains matchs #783 vs Utica Comets
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Centre de jeu
Bridgeport's Islanders
28-23-5, 61pts
1
FINAL
4 Toronto Marlies
27-21-8, 62pts
Team Stats
W1SéquenceL1
16-10-2Fiche domicile12-11-5
12-13-3Fiche domicile15-10-3
6-4-0Derniers 10 matchs7-2-1
2.96Buts par match 3.18
2.98Buts contre par match 2.95
16.08%Pourcentage en avantage numérique16.03%
76.62%Pourcentage en désavantage numérique80.70%
Toronto Marlies
27-21-8, 62pts
2
FINAL
4 Abbotsford's Canucks
32-20-4, 68pts
Team Stats
L1SéquenceW2
12-11-5Fiche domicile19-8-1
15-10-3Fiche domicile13-12-3
7-2-1Derniers 10 matchs3-4-3
3.18Buts par match 3.29
2.95Buts contre par match 2.86
16.03%Pourcentage en avantage numérique12.59%
80.70%Pourcentage en désavantage numérique81.25%
Utica Comets
24-27-4, 52pts
Jour 135
Toronto Marlies
27-21-8, 62pts
Statistiques d’équipe
W1SéquenceL1
13-13-2Fiche domicile12-11-5
11-14-2Fiche visiteur15-10-3
4-4-210 derniers matchs7-2-1
3.09Buts par match 3.18
3.80Buts contre par match 3.18
19.51%Pourcentage en avantage numérique16.03%
72.26%Pourcentage en désavantage numérique80.70%
Syracuse Crunch
21-27-8, 50pts
Jour 137
Toronto Marlies
27-21-8, 62pts
Statistiques d’équipe
OTL1SéquenceL1
13-11-5Fiche domicile12-11-5
8-16-3Fiche visiteur15-10-3
2-3-510 derniers matchs7-2-1
3.20Buts par match 3.18
3.82Buts contre par match 3.18
21.94%Pourcentage en avantage numérique16.03%
78.66%Pourcentage en désavantage numérique80.70%
Toronto Marlies
27-21-8, 62pts
Jour 139
Providence Bruins
32-21-3, 67pts
Statistiques d’équipe
L1SéquenceW2
12-11-5Fiche domicile17-10-1
15-10-3Fiche visiteur15-11-2
7-2-110 derniers matchs6-4-0
3.18Buts par match 3.16
2.95Buts contre par match 3.16
16.03%Pourcentage en avantage numérique21.05%
80.70%Pourcentage en désavantage numérique83.77%
Meneurs d'équipe
Buts
Ivan Demidov
22
Passes
Connor Bedard
34
Points
Ivan Demidov
53
Plus/Moins
Connor Bedard
26
Victoires
Linus Ullmark
23
Pourcentage d’arrêts
Linus Ullmark
0.933

Statistiques d’équipe
Buts pour
178
3.18 GFG
Tirs pour
2176
38.86 Avg
Pourcentage en avantage numérique
16.0%
21 GF
Début de zone offensive
39.5%
Buts contre
165
2.95 GAA
Tirs contre
2121
37.88 Avg
Pourcentage en désavantage numérique
80.7%%
33 GA
Début de la zone défensive
38.8%
Informations de l'équipe

Directeur généralDJ
EntraîneurJoe Sacco
DivisionEastern
ConférenceConference 1
CapitaineMark Mitera
Assistant #1Curtis Lazar
Assistant #2Tomas Marcinko


Informations de l’aréna

Capacité10,000
Assistance4,590
Billets de saison4,000


Informations de la formation

Équipe Pro30
Équipe Mineure21
Limite contact 51 / 75
Espoirs3


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)X100.007337818073808083817981727949999399730192925,000$
2Macklin Celebrini (R)X100.007333778177727281797679727941659399700183925,000$
3Ivan Demidov (R)XX100.007233778277717181797773727343578899690183925,000$
4Liam Ohgren (R)X100.007537777880727279637076747553647799690201925,000$
5Brad Lambert (R)XX100.007434768073707082817775747464437999690202925,000$
6Felix BibeauX100.0073347680747576768273736668637648996802511,000,000$
7Curtis Lazar (A)X100.00784576797981836088536480687299609968N02931,499,999$
8Ted PurcellX100.001239985737571757579755463949910996803911,499,999$
9Ridly Greig (R)X100.007538647573797978597169706949687799670221650,000$
10Tomas Marcinko (A)XX100.008348767779778053885256696399991099650361500,001$
11Marcel Marcel (R)X100.008039757185747469567070707055466499650203925,000$
12Charlie Stramel (R)XX100.007738737383696961796669776946388199650192925,000$
13Zayne Parekh (R)X100.007331817775747481637576727637508899690183925,000$
14Zeev Buium (R)X100.007331817775767665637269766939738299690183925,000$
15Cole Hutson (R)X100.007028757871797981617770707037677699680183925,000$
16David Reinbacher (R)X100.007640748174686865637071747144448999670192925,000$
17Tom Willander (R)X100.007437758272686865637368776644448399670192925,000$
18Mark Mitera (C)X100.004612998777767647544334774599991799660381500,001$
19Logan StanleyX100.008654707489768145544646755553506499660261700,000$
20Janis MoserX100.00693472727268686058676671669164609966N02431,499,999$
Rayé
1Matt FrattinXX100.00693481857777816355526767689999189967N0363625,000$
2Matthew KniesX100.00734072747868687058676966695669709965N02131,499,999$
3David PastrnakX100.005926828674798258485058676572576399630283510,000$
4Marc StaalX100.00858064847977774743453369478888219967N0373625,000$
5Aron Kiviharju (R)X89.187231797375717178577670687056476999670183925,000$
6Ludwig ByströmX100.007038848776828344513944706077744899660301600,000$
MOYENNE D’ÉQUIPE99.58713678797774756765656571676268639967
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
1Yaniv Perets100.00808380778684848484808355895799680242650,000$
2Linus Ullmark100.00808780819086868687697063594099670311600,000$
3Ilya Nabokov (R)100.00807775748181818181808153527799630213650,000$
Rayé
1Mack Guzda100.0072777885706565707072705061699958N0233625,000$
MOYENNE D’ÉQUIPE100.0078817879827979808175765565619964
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joe Sacco75838575818185USA525250,000$


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
1Ivan DemidovToronto Marlies (TOR)C/RW56223153714073622106014610.48%2493516.7044814106000014149.44%5382912001.1322000253
2Connor BedardToronto Marlies (TOR)C55183452261007458225681358.00%3194217.1434722117000044144.31%2463514001.1004000271
3Ted PurcellToronto Marlies (TOR)RW541725421000642203601248.37%1386115.9536923109000084154.67%2893316110.9800000202
4Macklin CelebriniToronto Marlies (TOR)C56122941-11607641199691386.03%2189716.0317825980000101148.65%1113916000.9115000122
5Liam OhgrenToronto Marlies (TOR)LW562119401132065561996010410.55%2999317.7534711810222812159.38%644316000.8102000214
6Brad LambertToronto Marlies (TOR)C/RW56221739-36072612075411110.63%3290516.1743717116000011150.70%10042915000.8603000213
7Curtis LazarToronto Marlies (TOR)C5661824164054818533517.06%1978213.9800011811271260155.01%649824000.6100000211
8Ridly GreigToronto Marlies (TOR)LW561932203208451160408311.88%2084315.051013141017976050.88%572121010.5200000222
9Charlie StramelToronto Marlies (TOR)C/RW5611112218400706769224515.94%2183914.99000070113772152.88%312822000.5200000102
10Marcel MarcelToronto Marlies (TOR)LW5612921-112207237113377010.62%2074313.280110250002333045.71%351818000.5601000120
11Cole HutsonToronto Marlies (TOR)D5631316718034436323284.76%5785915.351451011900000000%01722000.3700000001
12Zeev BuiumToronto Marlies (TOR)D56213151114044436429303.13%4893016.62112579134389100%0639100.3200000010
13Zayne ParekhToronto Marlies (TOR)D5041014186019296225346.45%6077215.451121211700002000%02121000.3612000110
14Tom WillanderToronto Marlies (TOR)D5629111022046415720213.51%5584015.0200009112190000%01427000.2600000000
15Felix BibeauToronto Marlies (TOR)C17538-122017186116408.20%1022913.51101410000011055.21%192102000.7000000003
16David ReinbacherToronto Marlies (TOR)D52088716032362917150%5878515.110111350112770025.00%41324000.2000000000
17Tomas MarcinkoToronto Marlies (TOR)C/RW56437-26054414210269.52%1459510.64000003035730054.42%29447100.2300000001
18Mark MiteraToronto Marlies (TOR)D510778004353224150%4669013.54000000221122000%0330000.2000000001
19Matthew KniesToronto Marlies (TOR)LW48077-715520176535480%124308.97000000111240063.64%11125000.3300000000
20Aron KiviharjuToronto Marlies (TOR)D49167-151202644489232.08%3266213.5201105100006000%01315000.2100000001
21Logan StanleyToronto Marlies (TOR)D560332037557384219140%5578714.0600000000095000%0536000.0800010000
22Janis MoserToronto Marlies (TOR)D24033-260161114640%2329912.4700000000022000%036000.2000000000
23Marc StaalToronto Marlies (TOR)D261012140172011129.09%1529911.5200000000048000%013000.0700000000
24Ludwig ByströmToronto Marlies (TOR)D17000200230000%3754.4300000000063000%00200000000000
25Matt FrattinToronto Marlies (TOR)LW/RW5000000206180%2377.580000000000000%11100000000000
Statistiques d’équipe totales ou en moyenne1176182281463120344101036975226673813158.03%7201704214.4923376014811207121934115929851.88%3807386414320.54419010182327
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
1Linus UllmarkToronto Marlies (TOR)41231260.9332.442483201011513687330.61513414992
2Ilya NabokovToronto Marlies (TOR)82510.8834.6946100363091441000817100
3Yaniv PeretsToronto Marlies (TOR)82410.9262.934500022296139000.8005735110
Statistiques d’équipe totales ou en moyenne57272180.9252.8133942015921189704318565611102


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
Aron Kiviharju (sur la masse salariale)Toronto Marlies (TOR)D181996-09-03Yes185 Lbs5 ft10NoNoProspectNoNo32024-09-02Pro & Farm925,000$276,047$0$0$Yes925,000$925,000$-------NoNo-------
Brad LambertToronto Marlies (TOR)C/RW201994-08-19Yes188 Lbs6 ft1NoNoN/ANoNo2Pro & Farm925,000$276,047$0$0$No925,000$--------No--------
Charlie StramelToronto Marlies (TOR)C/RW191995-08-19Yes221 Lbs6 ft4NoNoN/ANoNo2Pro & Farm925,000$276,047$0$0$No925,000$--------No--------
Cole HutsonToronto Marlies (TOR)D181996-09-03Yes165 Lbs5 ft10NoNoProspectNoNo32024-09-02Pro & Farm925,000$276,047$0$0$No925,000$925,000$-------NoNo-------
Connor BedardToronto Marlies (TOR)C191995-08-19Yes190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm925,000$276,047$0$0$No925,000$--------No--------
Curtis LazarToronto Marlies (TOR)C291985-10-20No224 Lbs6 ft0YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$447,644$0$0$No1,499,999$1,499,999$-------YesYes-------
David PastrnakToronto Marlies (TOR)RW281986-11-06No200 Lbs6 ft0NoNoFree Agent2024-03-01NoNo32024-08-23Pro & Farm510,000$152,199$0$0$No510,000$510,000$-------NoNo-------
David ReinbacherToronto Marlies (TOR)D191995-08-19Yes189 Lbs6 ft3NoNoN/ANoNo2Pro & Farm925,000$276,047$0$0$No925,000$--------No--------
Felix BibeauToronto Marlies (TOR)C251989-08-31No195 Lbs6 ft0NoNoTrade2025-02-02NoNo1Pro & Farm1,000,000$298,429$0$0$No------------------
Ilya NabokovToronto Marlies (TOR)G211993-09-03Yes179 Lbs6 ft1NoNoProspectNoNo32024-09-02Pro & Farm650,000$193,979$0$0$No650,000$650,000$-------NoNo-------
Ivan DemidovToronto Marlies (TOR)C/RW181996-09-03Yes192 Lbs5 ft11NoNoProspectNoNo32024-09-02Pro & Farm925,000$276,047$0$0$No925,000$925,000$-------NoNo-------
Janis MoserToronto Marlies (TOR)D241990-09-01No187 Lbs6 ft1YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$447,644$0$0$No1,499,999$1,499,999$-------YesYes-------
Liam OhgrenToronto Marlies (TOR)LW201994-09-01Yes210 Lbs6 ft5NoNoTrade2024-01-07NoNo1Pro & Farm925,000$276,047$0$0$No------------------
Linus UllmarkToronto Marlies (TOR)G311983-10-14No211 Lbs6 ft3NoNoTrade2024-08-16NoNo1Pro & Farm600,000$179,058$0$0$No------------------
Logan StanleyToronto Marlies (TOR)D261988-09-27No250 Lbs6 ft11NoNoTrade2024-12-06NoNo1Pro & Farm700,000$208,901$0$0$No------------------
Ludwig ByströmToronto Marlies (TOR)D301984-10-05No213 Lbs6 ft0NoNoN/ANoNo1Pro & Farm600,000$179,058$0$0$No------------------
Mack GuzdaToronto Marlies (TOR)G231991-09-01No216 Lbs6 ft6YesNoFree AgentNoNo32024-10-07Pro & Farm625,000$186,518$0$0$No625,000$625,000$-------YesYes-------
Macklin CelebriniToronto Marlies (TOR)C181996-09-03Yes196 Lbs6 ft0NoNoProspectNoNo32024-09-02Pro & Farm925,000$276,047$0$0$No925,000$925,000$-------NoNo-------
Marc StaalToronto Marlies (TOR)D371977-08-07No222 Lbs6 ft3YesNoFree AgentNoNo32024-10-07Pro & Farm625,000$186,518$0$0$No625,000$625,000$-------YesYes-------
Marcel MarcelToronto Marlies (TOR)LW201994-09-03Yes243 Lbs6 ft4NoNoProspectNoNo32024-09-02Pro & Farm925,000$276,047$0$0$No925,000$925,000$-------NoNo-------
Mark MiteraToronto Marlies (TOR)D381976-08-06No209 Lbs6 ft3NoNoN/ANoNo1Pro & Farm500,001$149,215$0$0$No------------------
Matt FrattinToronto Marlies (TOR)LW/RW361978-10-14No213 Lbs6 ft1YesNoFree AgentNoNo32024-10-07Pro & Farm625,000$186,518$0$0$No625,000$625,000$-------YesYes-------
Matthew KniesToronto Marlies (TOR)LW211993-09-01No216 Lbs6 ft4YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$447,644$0$0$No1,499,999$1,499,999$-------YesYes-------
Ridly GreigToronto Marlies (TOR)LW221992-06-23Yes179 Lbs6 ft2NoNoTrade2024-12-06NoNo1Pro & Farm650,000$193,979$0$0$No------------------
Ted PurcellToronto Marlies (TOR)RW391975-08-06No183 Lbs6 ft2NoNoTrade2024-12-22NoNo1Pro & Farm1,499,999$447,644$0$0$No------------------
Tom WillanderToronto Marlies (TOR)D191995-08-19Yes182 Lbs6 ft2NoNoN/ANoNo2Pro & Farm925,000$276,047$0$0$No925,000$--------No--------
Tomas MarcinkoToronto Marlies (TOR)C/RW361978-10-14No218 Lbs6 ft4NoNoN/ANoNo1Pro & Farm500,001$149,215$0$0$No------------------
Yaniv PeretsToronto Marlies (TOR)G241990-08-19No183 Lbs6 ft1NoNoN/ANoNo2Pro & Farm650,000$193,979$0$0$No650,000$--------No--------
Zayne ParekhToronto Marlies (TOR)D181996-09-03Yes181 Lbs6 ft0NoNoProspectNoNo32024-09-02Pro & Farm925,000$276,047$0$0$No925,000$925,000$-------NoNo-------
Zeev BuiumToronto Marlies (TOR)D181996-09-03Yes183 Lbs6 ft0NoNoProspectNoNo32024-09-02Pro & Farm925,000$276,047$0$0$No925,000$925,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3024.47201 Lbs6 ft22.20875,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ridly GreigCurtis LazarConnor Bedard25014
2Liam OhgrenTomas MarcinkoIvan Demidov25023
3Macklin CelebriniCharlie StramelBrad Lambert25023
4Marcel MarcelFelix BibeauTed Purcell25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cole HutsonZeev Buium25032
2Zayne ParekhLogan Stanley25032
3Tom WillanderDavid Reinbacher25032
4Mark MiteraJanis Moser25032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Connor BedardCurtis LazarTed Purcell50122
2Marcel MarcelFelix BibeauIvan Demidov50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zayne ParekhTom Willander50122
2Cole HutsonZeev Buium50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Charlie StramelLiam Ohgren60122
2Tomas MarcinkoCurtis Lazar40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1David ReinbacherLogan Stanley60122
2Zeev BuiumMark Mitera40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tomas Marcinko60122David ReinbacherLogan Stanley60122
2Charlie Stramel40122Zeev BuiumMark Mitera40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Connor BedardRidly Greig60122
2Felix BibeauMarcel Marcel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Janis MoserMark Mitera60032
2Tom WillanderDavid Reinbacher40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Connor BedardTed PurcellIvan DemidovCole HutsonZayne Parekh
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marcel MarcelCurtis LazarCharlie StramelZeev BuiumLogan Stanley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Macklin Celebrini, Brad Lambert, Marcel MarcelLiam Ohgren, Macklin CelebriniRidly Greig
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Hutson, Janis Moser, Mark MiteraDavid ReinbacherTom Willander, Janis Moser
Tirs de pénalité
Ivan Demidov, Zayne Parekh, Macklin Celebrini, Marcel Marcel, Ridly Greig
Gardien
#1 : Linus Ullmark, #2 : Yaniv Perets, #3 : Ilya Nabokov
Lignes d’attaque personnalisées en prolongation
Ivan Demidov, Connor Bedard, Brad Lambert, Liam Ohgren, Charlie Stramel, Macklin Celebrini, Macklin Celebrini, Marcel Marcel, Ted Purcell, Ridly Greig, Felix Bibeau
Lignes de défense personnalisées en prolongation
Zayne Parekh, Cole Hutson, Zeev Buium, Janis Moser, Tom Willander


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 Canucks30200010810-2100000105412020000036-320.33381220005169546136786719654371124025547228.57%11281.82%1789152651.70%776150251.66%44083952.44%12527441160498990488
2Bakersfield Condors2110000035-2110000002111010000014-320.500358005169546717867196543766251447400.00%70100.00%1789152651.70%776150251.66%44083952.44%12527441160498990488
3Belleville Senators2020000038-51010000013-21010000025-300.000358005169546737867196543779311433400.00%70100.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
4Bridgeport's Islanders31200000651211000005321010000012-120.33369150051695461277867196543710436867400.00%4175.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
5Calgary Wranglers21001000954100010005411100000041341.00091524005169546847867196543788212032100.00%10280.00%2789152651.70%776150251.66%44083952.44%12527441160498990488
6Charlotte Checkers211000007701010000012-11100000065120.500711180051695468378671965437712214435120.00%7271.43%0789152651.70%776150251.66%44083952.44%12527441160498990488
7Chicago Wolves21001000633110000003121000100032141.0006111700516954685786719654377724634200.00%30100.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
8Colorado Eagles210001008711000010045-11100000042230.750813210051695469278671965437762123363133.33%10370.00%1789152651.70%776150251.66%44083952.44%12527441160498990488
9Grand Rapids Griffins21100000743110000006241010000012-120.50071219005169546737867196543784251737100.00%6183.33%0789152651.70%776150251.66%44083952.44%12527441160498990488
10Hartford Wolfpack2020000049-51010000025-31010000024-200.00047111051695467678671965437682812429222.22%6183.33%0789152651.70%776150251.66%44083952.44%12527441160498990488
11Henderson Silver Knights210001005501000010012-11100000043130.7505813005169546777867196543769311438800.00%70100.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
12Hershey Bears2000020046-21000010023-11000010023-120.500459005169546697867196543793311235200.00%60100.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
13Iowa Wild21100000660110000004311010000023-120.50067130051695467778671965437762514296116.67%7271.43%1789152651.70%776150251.66%44083952.44%12527441160498990488
14Laval Rocket211000009811010000047-31100000051420.50091221005169546657867196543782291648500.00%8187.50%0789152651.70%776150251.66%44083952.44%12527441160498990488
15Lehigh Valley Phantoms22000000826110000005141100000031241.00081422005169546877867196543765182307114.29%10100.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
16Manitoba Moose21100000752110000005231010000023-120.50071219005169546837867196543775196376233.33%30100.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
17Ontario Reign2110000011110110000006511010000056-120.50011193000516954675786719654377922203210220.00%10370.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
18Providence Bruins2010000169-31010000035-21000000134-110.25061117105169546757867196543771281246100.00%6183.33%0789152651.70%776150251.66%44083952.44%12527441160498990488
19Rochester Americans2010000139-61010000016-51000000123-110.2503470051695467278671965437833126452150.00%13469.23%0789152651.70%776150251.66%44083952.44%12527441160498990488
20Rockford IceHogs211000006511010000034-11100000031220.50069150051695467078671965437752510285120.00%5260.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
21San Diego Gulls 210001008621000010045-11100000041330.75081624005169546767867196543770218317342.86%4175.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
22San Jose Barracuda211000006511010000024-21100000041320.5006713105169546817867196543770301031300.00%5260.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
23Springfield Thunderbirds22000000624110000004131100000021141.0006915005169546767867196543764164397114.29%20100.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
24Syracuse Crunch220000001266110000007341100000053241.000121830005169546757867196543784274334125.00%20100.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
25Texas Stars211000007701010000035-21100000042220.500713200051695466178671965437691816365120.00%8450.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
26Utica Comets210000017431000000123-11100000051430.750712190051695468478671965437774214354125.00%70100.00%0789152651.70%776150251.66%44083952.44%12527441160498990488
27Wilkes-Barre/Scranton Penguins201000106601010000034-11000001032120.50061016005169546737867196543794191243900.00%6183.33%1789152651.70%776150251.66%44083952.44%12527441160498990488
Total5623210252317816513281011014119393028131001112857213620.554178286464305169546217678671965437212170535310411312116.03%1713380.70%7789152651.70%776150251.66%44083952.44%12527441160498990488
_Since Last GM Reset5623210252317816513281011014119393028131001112857213620.554178286464305169546217678671965437212170535310411312116.03%1713380.70%7789152651.70%776150251.66%44083952.44%12527441160498990488
_Vs Conference5623210252317816513281011014119393028131001112857213620.554178286464305169546217678671965437212170535310411312116.03%1713380.70%7789152651.70%776150251.66%44083952.44%12527441160498990488
_Vs Division29101101203888621557001014548-314540110243385270.46688141229205169546111778671965437113239116957159711.86%821285.37%1789152651.70%776150251.66%44083952.44%12527441160498990488

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5662L117828646421762121705353104130
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5623212523178165
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
28101114119393
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
28131011128572
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1312116.03%1713380.70%7
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
786719654375169546
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
789152651.70%776150251.66%44083952.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12527441160498990488


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
112Toronto Marlies1Bakersfield Condors4ALSommaire du match
319Toronto Marlies2Manitoba Moose3ALSommaire du match
533Abbotsford's Canucks4Toronto Marlies5BWXXSommaire du match
742Ontario Reign5Toronto Marlies6BWSommaire du match
955San Diego Gulls 5Toronto Marlies4BLXSommaire du match
1062Colorado Eagles5Toronto Marlies4BLXSommaire du match
1382Texas Stars5Toronto Marlies3BLSommaire du match
1595Toronto Marlies3Providence Bruins4ALXXSommaire du match
18109Belleville Senators3Toronto Marlies1BLSommaire du match
22131Toronto Marlies2Rochester Americans3ALXXSommaire du match
24141Toronto Marlies2Hershey Bears3ALXSommaire du match
26156Toronto Marlies5Laval Rocket1AWSommaire du match
28166Wilkes-Barre/Scranton Penguins4Toronto Marlies3BLSommaire du match
29173San Jose Barracuda4Toronto Marlies2BLSommaire du match
33195Toronto Marlies3Chicago Wolves2AWXSommaire du match
36214Iowa Wild3Toronto Marlies4BWSommaire du match
38222Calgary Wranglers4Toronto Marlies5BWXSommaire du match
40237Utica Comets3Toronto Marlies2BLXXSommaire du match
42246Toronto Marlies1Bridgeport's Islanders2ALSommaire du match
45264Toronto Marlies3Rockford IceHogs1AWSommaire du match
47279Rockford IceHogs4Toronto Marlies3BLSommaire du match
48284Toronto Marlies1Grand Rapids Griffins2ALSommaire du match
50293Charlotte Checkers2Toronto Marlies1BLSommaire du match
53312Toronto Marlies2Hartford Wolfpack4ALSommaire du match
55324Toronto Marlies2Iowa Wild3ALSommaire du match
57335Lehigh Valley Phantoms1Toronto Marlies5BWSommaire du match
60350Providence Bruins5Toronto Marlies3BLSommaire du match
63370Henderson Silver Knights2Toronto Marlies1BLXSommaire du match
66386Laval Rocket7Toronto Marlies4BLSommaire du match
68398Toronto Marlies5Utica Comets1AWSommaire du match
71419Toronto Marlies6Charlotte Checkers5AWSommaire du match
72420Toronto Marlies2Springfield Thunderbirds1AWSommaire du match
76444Springfield Thunderbirds1Toronto Marlies4BWSommaire du match
79465Toronto Marlies4San Diego Gulls 1AWSommaire du match
80473Toronto Marlies4San Jose Barracuda1AWSommaire du match
83485Toronto Marlies5Syracuse Crunch3AWSommaire du match
86504Bakersfield Condors1Toronto Marlies2BWSommaire du match
88515Bridgeport's Islanders2Toronto Marlies1BLSommaire du match
89524Toronto Marlies4Colorado Eagles2AWSommaire du match
92540Grand Rapids Griffins2Toronto Marlies6BWSommaire du match
95560Rochester Americans6Toronto Marlies1BLSommaire du match
98578Toronto Marlies3Wilkes-Barre/Scranton Penguins2AWXXSommaire du match
100587Hartford Wolfpack5Toronto Marlies2BLSommaire du match
102598Toronto Marlies4Calgary Wranglers1AWSommaire du match
103604Toronto Marlies5Ontario Reign6ALSommaire du match
105615Toronto Marlies1Abbotsford's Canucks2ALSommaire du match
107628Toronto Marlies4Henderson Silver Knights3AWSommaire du match
109640Manitoba Moose2Toronto Marlies5BWSommaire du match
110645Syracuse Crunch3Toronto Marlies7BWSommaire du match
113664Toronto Marlies3Lehigh Valley Phantoms1AWSommaire du match
116680Hershey Bears3Toronto Marlies2BLXSommaire du match
118692Toronto Marlies2Belleville Senators5ALSommaire du match
123720Chicago Wolves1Toronto Marlies3BWSommaire du match
129750Toronto Marlies4Texas Stars2AWSommaire du match
131760Bridgeport's Islanders1Toronto Marlies4BWSommaire du match
133773Toronto Marlies2Abbotsford's Canucks4ALSommaire du match
135783Utica Comets-Toronto Marlies-
137802Syracuse Crunch-Toronto Marlies-
139812Toronto Marlies-Providence Bruins-
141824Ontario Reign-Toronto Marlies-
142832Toronto Marlies-Grand Rapids Griffins-
144843Toronto Marlies-Charlotte Checkers-
146855Toronto Marlies-Springfield Thunderbirds-
149874Manitoba Moose-Toronto Marlies-
151888Henderson Silver Knights-Toronto Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154905Toronto Marlies-Belleville Senators-
156921Lehigh Valley Phantoms-Toronto Marlies-
157926San Jose Barracuda-Toronto Marlies-
160945San Diego Gulls -Toronto Marlies-
162958Toronto Marlies-Texas Stars-
165977Chicago Wolves-Toronto Marlies-
167989Hershey Bears-Toronto Marlies-
1701010Toronto Marlies-Bakersfield Condors-
1721023Toronto Marlies-Rochester Americans-
1741036Colorado Eagles-Toronto Marlies-
1761050Hartford Wolfpack-Toronto Marlies-
1771056Toronto Marlies-Iowa Wild-
1801074Toronto Marlies-Wilkes-Barre/Scranton Penguins-
1821092Toronto Marlies-Calgary Wranglers-
1851108Laval Rocket-Toronto Marlies-
1871121Toronto Marlies-Rockford IceHogs-
1901136Toronto Marlies-Colorado Eagles-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50005000
Prix des billets8045
Assistance67,92660,593
Assistance PCT48.52%43.28%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
13 4590 - 45.90% 434,269$12,159,538$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,893,488$ 5,067,000$ 5,067,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,502,122$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,645,500$ 57 27,838$ 1,586,766$




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