Connexion

Toronto Marlies
GP: 36 | W: 20 | L: 13 | OTL: 3 | P: 43
GF: 118 | GA: 107 | PP%: 39.50% | PK%: 69.66%
DG: Ola Thorell | Morale : 43 | Moyenne d’équipe : 47
Prochains matchs #586 vs Tucson Roadrunners
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Centre de jeu
Toronto Marlies
20-13-3, 43pts
2
FINAL
7 Lehigh Valley Phantoms
22-12-2, 46pts
Team Stats
W1SéquenceW4
10-5-3Fiche domicile12-6-0
10-8-0Fiche domicile10-6-2
7-3-0Derniers 10 matchs7-3-0
3.28Buts par match 3.44
2.97Buts contre par match 2.92
39.50%Pourcentage en avantage numérique29.82%
69.66%Pourcentage en désavantage numérique74.53%
Syracuse Crunch
12-20-4, 28pts
1
FINAL
4 Toronto Marlies
20-13-3, 43pts
Team Stats
L1SéquenceW1
9-8-1Fiche domicile10-5-3
3-12-3Fiche domicile10-8-0
2-7-1Derniers 10 matchs7-3-0
2.06Buts par match 3.28
3.08Buts contre par match 2.97
27.27%Pourcentage en avantage numérique39.50%
65.93%Pourcentage en désavantage numérique69.66%
Tucson Roadrunners
13-21-3, 29pts
Jour 85
Toronto Marlies
20-13-3, 43pts
Statistiques d’équipe
L4SéquenceW1
8-10-0Fiche domicile10-5-3
5-11-3Fiche visiteur10-8-0
3-6-110 derniers matchs7-3-0
2.43Buts par match 3.28
3.27Buts contre par match 3.28
41.38%Pourcentage en avantage numérique39.50%
65.35%Pourcentage en désavantage numérique69.66%
Toronto Marlies
20-13-3, 43pts
Jour 88
Coachella Valley Firebirds
20-13-2, 42pts
Statistiques d’équipe
W1SéquenceL1
10-5-3Fiche domicile11-6-2
10-8-0Fiche visiteur9-7-0
7-3-010 derniers matchs5-4-1
3.28Buts par match 3.20
2.97Buts contre par match 3.20
39.50%Pourcentage en avantage numérique43.56%
69.66%Pourcentage en désavantage numérique66.32%
Toronto Marlies
20-13-3, 43pts
Jour 93
San Jose Barracuda
17-13-5, 39pts
Statistiques d’équipe
W1SéquenceW2
10-5-3Fiche domicile11-3-4
10-8-0Fiche visiteur6-10-1
7-3-010 derniers matchs3-6-1
3.28Buts par match 2.89
2.97Buts contre par match 2.89
39.50%Pourcentage en avantage numérique27.08%
69.66%Pourcentage en désavantage numérique71.43%
Meneurs d'équipe
Ryan TverbergButs
Ryan Tverberg
17
Calle JarnkrokPasses
Calle Jarnkrok
31
Calle JarnkrokPoints
Calle Jarnkrok
43
Nick AbruzzesePlus/Moins
Nick Abruzzese
5
Dennis HildebyVictoires
Dennis Hildeby
20
Dennis HildebyPourcentage d’arrêts
Dennis Hildeby
0.9

Statistiques d’équipe
Buts pour
118
3.28 GFG
Tirs pour
876
24.33 Avg
Pourcentage en avantage numérique
39.5%
47 GF
Début de zone offensive
33.4%
Buts contre
107
2.97 GAA
Tirs contre
990
27.50 Avg
Pourcentage en désavantage numérique
69.7%%
27 GA
Début de la zone défensive
36.9%
Informations de l'équipe

Directeur généralOla Thorell
EntraîneurCraig Berube
DivisionNortheast Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,805
Billets de saison0


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 60
Espoirs30


Historique d'équipe

Saison actuelle20-13-3 (43PTS)
Historique28-33-5 (0.424%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
Coupe Stanley0


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
1Matthew Knies0X100.009252739393829768306777703036357144690222925,000$
2Calle Jarnkrok0X100.00583095776185736249656668318566286365N03332,100,000$
3Zach Parise0X100.005430967761805557305959694299902853630401937,500$
4Alex Steeves0X100.008330895170798563405255593034364859570251834,167$
5Rhett Gardner0X100.006461466683678150655051603040433462550281775,000$
6Nick Abruzzese0X98.003430916652659062405646503035385168520252775,000$
7Ryan Tverberg (R)0X100.004130936461536851455047473031332868490223851,667$
8Max Ellis (R)0X100.003030945842526039303935423033362862420241838,750$
9Dmitry Ovchinnikov (R)0X100.003030996441484741303337403031322856410221835,000$
10Roni Hirvonen (R)0X100.003030995349626138403536403031332862410222856,667$
11T.J. Friedmann0X100.003130996457433230293333413034382831400261775,000$
12Ty Voit (R)0X100.003030994635403029302930413029302926350213800,556$
13Kyle Capobianco0X100.005131766171658862305942623040413928560271775,000$
14Topi Niemela (R)0X100.003030786253618756305242463031332865490222856,667$
15Mikko Kokkonen (R)0X100.005130874268658944304033513032342853470232846,667$
16Joseph Duszak0X100.003030636543708053354937403035382940470271775,000$
17William Villeneuve (R)0X100.003330775659637546304632463031332854460222817,778$
18Noah Chadwick (R)0X100.005130853176413030303029403027272947390191851,667$
Rayé
1Kyle Clifford0X80.036999254483637447304339493088672941500331775,000$
2Kyle Crnkovic (R)0X100.002930994533433429302929413030322938350221775,000$
3Ryan Orgel0X100.004030993459403030303030423034383028380271775,000$
4Michael Joyaux0X100.003130993849453230303030403035392938370271775,000$
MOYENNE D’ÉQUIPE99.00453685575960644635444249314141334948
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
1Dennis Hildeby (R)0100.00628466995968696365435132396482620232843,333$
2Julian Junca0100.00435232933930404143453038454548450261775,000$
Rayé
1Keith Petruzzelli0100.00326444853239353743333632485344420251817,500$
2Matt Vernon0100.00255025252525252525252525252525260261775,000$
MOYENNE D’ÉQUIPE100.0041634276394142424437363239475044
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Berube25252525102550CAN571500,000$


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
1Calle JarnkrokToronto Marlies (TOR)C331231432006361104458411.54%1260118.233141710630002281154.76%3892811121.4302000441
2Ryan TverbergToronto Marlies (TOR)C36171835-11156058111205515.32%1058416.249101921570002284051.96%204368001.2011001334
3Nick AbruzzeseToronto Marlies (TOR)C36161632540477083235619.28%1171919.992358630004532151.80%1392621000.8901000233
4Alex SteevesToronto Marlies (TOR)C32161228-1240554384234319.05%756717.731192024560000211055.77%521410010.9900000131
5Topi NiemelaToronto Marlies (TOR)D3641620-6100244435171311.43%2372320.113912795000052010%0820000.5500000000
6Max EllisToronto Marlies (TOR)RW3671017-200324237141218.92%655815.52358446000002031.96%97138000.6100000012
7Max LajoieToronto Maple LeafsD3331417320043756127184.92%3975022.742244420001241150.00%21129000.4500000110
8Rhett GardnerToronto Marlies (TOR)C359716-6400683578244911.54%2154815.664596430003243058.33%481714000.5800000021
9Zach PariseToronto Marlies (TOR)LW83131630018162251413.64%114818.52167416000001020.00%551002.1600000211
10Dmitry OvchinnikovToronto Marlies (TOR)LW354812-60021262391917.39%643612.472572130000110141.10%73119000.5500000100
11Kyle CliffordToronto Marlies (TOR)LW288311340082593181625.81%1151418.391011500001160061.11%18312000.4300000100
12Kyle CapobiancoToronto Marlies (TOR)D303710-710027273613118.33%2550916.97246527000033100%0818000.3900000000
13Roni HirvonenToronto Marlies (TOR)C3644812023333151512.90%752714.64000000001282045.00%2027000.3000000011
14William VilleneuveToronto Marlies (TOR)D36156-1100213022954.55%2468719.09112556000046000%0719000.1700000001
15Mikko KokkonenToronto Marlies (TOR)D36055-320032632517140%4186223.95022356000065000%0632000.1200000000
16Michael JoyauxToronto Marlies (TOR)D2314510081752220.00%331713.8211219000016000%019000.3100000100
17T.J. FriedmannToronto Marlies (TOR)RW31224-142018422061510.00%1549115.8400003000000041.98%486216000.1600000010
18Noah ChadwickToronto Marlies (TOR)D28033-24018195520%732611.66011118000011000%013000.1800000000
19Matthew KniesToronto Marlies (TOR)LW1000000300000%077.480000000000000%00000000000000
20Kyle CrnkovicToronto Marlies (TOR)LW27000-200535220%0883.2900000000140050.00%20300000000000
21Joseph DuszakToronto Marlies (TOR)D11000-440351010%113712.470000000000000%00000000000000
22Ryan OrgelToronto Marlies (TOR)D2000000020000%24120.930000000000000%00200000000000
23Ty VoitToronto Marlies (TOR)RW14000-100340000%0614.4000000000000033.33%31000001000000
Statistiques d’équipe totales ou en moyenne623110178288-49181567477481927444613.43%2721021116.3945771221067230001546618547.92%1538200252130.5615001162015
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
1Dennis HildebyToronto Marlies (TOR)34201030.9002.7419932291911508400.6005341422
2Matt VernonToronto Marlies (TOR)10000.8332.612300164000001000
3Keith PetruzzelliToronto Marlies (TOR)30300.7885.16128001152320000223000
4Julian JuncaToronto Marlies (TOR)10000.8577.202500321140000011000
Statistiques d’équipe totales ou en moyenne39201330.8932.932171221069905584053636422


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex SteevesToronto Marlies (TOR)C251999-12-10USANo196 Lbs6 ft0NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm834,167$0$0$No---------------------------Lien NHL
Calle Jarnkrok (contrat à 1 volet)Toronto Marlies (TOR)C331991-09-25SWENo190 Lbs6 ft0YesNoFree AgentNoNo32024-02-03FalseFalsePro & Farm2,100,000$950,000$556,566$No2,100,000$2,100,000$-------2,100,000$2,100,000$-------YesYes-------Lien NHL
Dennis HildebyToronto Marlies (TOR)G232001-08-19SWEYes223 Lbs6 ft7NoNoTrade2024-02-24NoNo22024-02-03FalseFalsePro & Farm843,333$0$0$No843,333$--------843,333$--------No--------Lien NHL
Dmitry OvchinnikovToronto Marlies (TOR)LW222002-08-19RUSYes165 Lbs5 ft11NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm835,000$0$0$No---------------------------Lien NHL
Joseph DuszakToronto Marlies (TOR)D271997-07-22USANo176 Lbs5 ft9NoNoFree AgentNoNo12024-11-20FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Julian JuncaToronto Marlies (TOR)G261998-02-15FRANo214 Lbs6 ft5NoNoFree AgentNoNo12024-11-26FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Keith PetruzzelliToronto Marlies (TOR)G251999-02-09USANo190 Lbs6 ft6NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm817,500$0$0$No---------------------------Lien NHL
Kyle CapobiancoToronto Marlies (TOR)D271997-08-13CANNo201 Lbs6 ft2NoNoWaiverNoNo12024-02-04FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Kyle Clifford (contrat à 1 volet)Toronto Marlies (TOR)LW331991-01-13CANNo218 Lbs6 ft2NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Kyle CrnkovicToronto Marlies (TOR)LW222002-02-10CANYes165 Lbs5 ft7NoNoFree AgentNoNo12024-09-29FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Matt VernonToronto Marlies (TOR)G261998-03-29USANo165 Lbs5 ft11NoNoFree AgentNoNo12024-11-23FalseFalsePro & Farm775,000$0$0$No---------------------------
Matthew KniesToronto Marlies (TOR)LW222002-10-17USANo217 Lbs6 ft3NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien NHL
Max EllisToronto Marlies (TOR)RW242000-01-18USAYes172 Lbs5 ft9NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm838,750$0$0$No---------------------------Lien NHL
Michael JoyauxToronto Marlies (TOR)D271997-02-13USANo181 Lbs5 ft10NoNoFree AgentNoNo12024-09-29FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Mikko KokkonenToronto Marlies (TOR)D232001-01-18FINYes201 Lbs6 ft0NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm846,667$0$0$No846,667$--------846,667$--------No--------Lien NHL
Nick AbruzzeseToronto Marlies (TOR)C251999-06-04USANo183 Lbs5 ft11NoNoFree AgentNoNo22024-09-29FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Noah ChadwickToronto Marlies (TOR)D192005-05-10CANYes201 Lbs6 ft4NoNoFree AgentNoNo12024-08-07FalseFalsePro & Farm851,667$0$0$No---------------------------Lien / Lien NHL
Rhett GardnerToronto Marlies (TOR)C281996-02-28CANNo210 Lbs6 ft3NoNoFree AgentNoNo12024-09-15FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Roni HirvonenToronto Marlies (TOR)C222002-01-10FINYes179 Lbs5 ft10NoNoFree AgentNoNo22024-08-06FalseFalsePro & Farm856,667$0$0$No856,667$--------856,667$--------No--------Lien / Lien NHL
Ryan OrgelToronto Marlies (TOR)D271997-02-15USANo190 Lbs6 ft0NoNoFree AgentNoNo12024-11-19FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Ryan TverbergToronto Marlies (TOR)C222002-01-30CANYes190 Lbs6 ft0NoNoFree AgentNoNo32024-08-06FalseFalsePro & Farm851,667$0$0$No851,667$851,667$-------851,667$851,667$-------NoNo-------Lien NHL
T.J. FriedmannToronto Marlies (TOR)RW261998-02-27USANo181 Lbs6 ft2NoNoFree AgentNoNo12024-09-29FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Topi NiemelaToronto Marlies (TOR)D222002-03-25FINYes179 Lbs6 ft0NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm856,667$0$0$No856,667$--------856,667$--------No--------Lien NHL
Ty VoitToronto Marlies (TOR)RW212003-06-10USAYes161 Lbs5 ft10NoNoFree AgentNoNo32024-08-07FalseFalsePro & Farm800,556$0$0$No800,556$800,556$-------800,556$800,556$-------NoNo-------Lien / Lien NHL
William VilleneuveToronto Marlies (TOR)D222002-03-20CANYes183 Lbs6 ft2NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm817,778$0$0$No817,778$--------817,778$--------No--------Lien NHL
Zach Parise (contrat à 1 volet)Toronto Marlies (TOR)LW401984-07-28USANo195 Lbs5 ft11NoNoFree AgentNoYes12024-08-18FalseFalsePro & Farm937,500$0$0$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.35189 Lbs6 ft11.50866,843$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rhett GardnerT.J. FriedmannDmitry Ovchinnikov40122
2Nick AbruzzeseCalle JarnkrokZach Parise30122
3Max EllisRyan TverbergRoni Hirvonen20122
4Rhett GardnerNick AbruzzeseCalle Jarnkrok10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikko Kokkonen40122
2William VilleneuveNoah Chadwick30122
3Kyle CapobiancoTopi Niemela20122
4Topi Niemela10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach PariseMax EllisRyan Tverberg60122
2Nick AbruzzeseCalle JarnkrokRhett Gardner40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Topi Niemela60122
2William VilleneuveMikko Kokkonen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nick AbruzzeseCalle Jarnkrok60122
2Ryan TverbergRoni Hirvonen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikko Kokkonen60122
2Topi NiemelaWilliam Villeneuve40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Tverberg60122Topi NiemelaMikko Kokkonen60122
2Nick Abruzzese40122William Villeneuve40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan TverbergCalle Jarnkrok60122
2Nick AbruzzeseMax Ellis40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikko KokkonenTopi Niemela60122
2William Villeneuve40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach PariseCalle JarnkrokNick AbruzzeseTopi Niemela
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach PariseCalle JarnkrokNick AbruzzeseTopi Niemela
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Tverberg, Nick Abruzzese, Calle JarnkrokRyan Tverberg, Nick AbruzzeseNick Abruzzese
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Villeneuve, Topi Niemela, Mikko KokkonenTopi NiemelaTopi Niemela, William Villeneuve
Tirs de pénalité
Nick Abruzzese, Calle Jarnkrok, Ryan Tverberg, Rhett Gardner, Max Ellis
Gardien
#1 : Dennis Hildeby, #2 : Julian Junca
Lignes d’attaque personnalisées en prolongation
Roni Hirvonen, Rhett Gardner, T.J. Friedmann, , Dmitry Ovchinnikov, Calle Jarnkrok, Calle Jarnkrok, Nick Abruzzese, Zach Parise, Ryan Tverberg, Max Ellis
Lignes de défense personnalisées en prolongation
Kyle Capobianco, Mikko Kokkonen, Topi Niemela, William Villeneuve,


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
1Bakersfield Condors11000000422110000004220000000000021.000461000194352422183320363151734192150.00%2150.00%027957748.35%33063851.72%24851548.16%679312730365764392
2Belleville Senators320010001596210010009631100000063361.000152843001943524761833203631510126264816850.00%13192.31%027957748.35%33063851.72%24851548.16%679312730365764392
3Bridgeport Islanders21001000853100010004311100000042241.000813210019435244718332036315701910399777.78%5260.00%027957748.35%33063851.72%24851548.16%679312730365764392
4Charlotte Checkers11000000624000000000001100000062421.00061218001943524271833203631522107254375.00%10100.00%027957748.35%33063851.72%24851548.16%679312730365764392
5Chicago Wolves210001008711000010045-11100000042230.75081220001943524691833203631564166426350.00%3233.33%027957748.35%33063851.72%24851548.16%679312730365764392
6Cleveland Monsters1010000067-1000000000001010000067-100.0006111700194352428183320363151868467342.86%4325.00%027957748.35%33063851.72%24851548.16%679312730365764392
7Colorado Eagles1010000002-2000000000001010000002-200.000000001943524818332036315124218100.00%10100.00%027957748.35%33063851.72%24851548.16%679312730365764392
8Grand Rapids Griffins21100000972110000006331010000034-120.50091524001943524621833203631566268369444.44%4250.00%027957748.35%33063851.72%24851548.16%679312730365764392
9Henderson Silver Knights1010000024-21010000024-20000000000000.0002350019435241118332036315252621200.00%3233.33%027957748.35%33063851.72%24851548.16%679312730365764392
10Hershey Bears2020000058-31010000024-21010000034-100.00059140019435245018332036315631910369111.11%5180.00%027957748.35%33063851.72%24851548.16%679312730365764392
11Iowa Wild1010000025-3000000000001010000025-300.0002350019435242318332036315387616300.00%3233.33%027957748.35%33063851.72%24851548.16%679312730365764392
12Laval Rocket211000006601010000045-11100000021120.500611170019435243018332036315521810266116.67%5180.00%027957748.35%33063851.72%24851548.16%679312730365764392
13Lehigh Valley Phantoms2110000059-4110000003211010000027-520.50059140019435246018332036315761964111218.18%3233.33%027957748.35%33063851.72%24851548.16%679312730365764392
14Manitoba Moose1010000012-11010000012-10000000000000.0001230019435241518332036315379102211100.00%5180.00%027957748.35%33063851.72%24851548.16%679312730365764392
15Ontario Reign11000000202000000000001100000020221.00024601194352418183320363152792174250.00%10100.00%027957748.35%33063851.72%24851548.16%679312730365764392
16Rochester Americans310010101174210000108531000100032161.000111324001943524821833203631578146667342.86%3166.67%027957748.35%33063851.72%24851548.16%679312730365764392
17San Diego Gulls21100000871110000006331010000024-220.500813210019435245518332036315581812355240.00%6266.67%027957748.35%33063851.72%24851548.16%679312730365764392
18San Jose Barracuda1010000034-11010000034-10000000000000.000358001943524341833203631534610194375.00%50100.00%027957748.35%33063851.72%24851548.16%679312730365764392
19Syracuse Crunch320001001064210001006421100000042250.8331015250019435247218332036315572016593133.33%8275.00%027957748.35%33063851.72%24851548.16%679312730365764392
20Utica Comets22000000514000000000002200000051441.0005914011943524341833203631537122334250.00%10100.00%027957748.35%33063851.72%24851548.16%679312730365764392
21Wilkes-Barre/Scranton Penguins2010000127-51000000112-11010000015-410.250235001943524531833203631538141641600.00%8275.00%027957748.35%33063851.72%24851548.16%679312730365764392
Total36161303211118107111875022116354918980100055532430.597118196314021943524876183320363159902771837051194739.50%892769.66%027957748.35%33063851.72%24851548.16%679312730365764392
_Since Last GM Reset36161303211118107111875022116354918980100055532430.597118196314021943524876183320363159902771837051194739.50%892769.66%027957748.35%33063851.72%24851548.16%679312730365764392
_Vs Conference25127031118874141252021114334913750100045405340.6808814823601194352462118332036315678203125496913538.46%601771.67%027957748.35%33063851.72%24851548.16%679312730365764392
_Vs Division1493021105737208410111033231065201000241410250.89357941510019435243491833203631537611473260452044.44%34779.41%027957748.35%33063851.72%24851548.16%679312730365764392

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3643W111819631487699027718370502
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3616133211118107
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
187522116354
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
189810005553
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1194739.50%892769.66%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
183320363151943524
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
27957748.35%33063851.72%24851548.16%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
679312730365764392


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
316Toronto Marlies3Grand Rapids Griffins4LSommaire du match
429Grand Rapids Griffins3Toronto Marlies6WSommaire du match
644Wilkes-Barre/Scranton Penguins2Toronto Marlies1LXXSommaire du match
961Toronto Marlies6Cleveland Monsters7LSommaire du match
1178Rochester Americans2Toronto Marlies4WSommaire du match
1393Toronto Marlies3Rochester Americans2WXSommaire du match
14105Toronto Marlies4Syracuse Crunch2WSommaire du match
16124Chicago Wolves5Toronto Marlies4LXSommaire du match
18136Laval Rocket5Toronto Marlies4LSommaire du match
19153Toronto Marlies2Laval Rocket1WSommaire du match
21160Toronto Marlies2Utica Comets0WSommaire du match
24182Belleville Senators3Toronto Marlies4WXSommaire du match
26195Toronto Marlies6Belleville Senators3WSommaire du match
31220Syracuse Crunch3Toronto Marlies2LXSommaire du match
33230Henderson Silver Knights4Toronto Marlies2LSommaire du match
37253Toronto Marlies6Charlotte Checkers2WSommaire du match
39263Manitoba Moose2Toronto Marlies1LSommaire du match
41284Toronto Marlies4Chicago Wolves2WSommaire du match
42295Bakersfield Condors2Toronto Marlies4WSommaire du match
44315Toronto Marlies3Hershey Bears4LSommaire du match
47326Toronto Marlies3Utica Comets1WSommaire du match
48342Bridgeport Islanders3Toronto Marlies4WXSommaire du match
50358Toronto Marlies2Iowa Wild5LSommaire du match
52376Toronto Marlies1Wilkes-Barre/Scranton Penguins5LSommaire du match
54384San Jose Barracuda4Toronto Marlies3LSommaire du match
57409Hershey Bears4Toronto Marlies2LSommaire du match
59422Toronto Marlies2San Diego Gulls4LSommaire du match
62439Lehigh Valley Phantoms2Toronto Marlies3WSommaire du match
64456Toronto Marlies0Colorado Eagles2LSommaire du match
66470Toronto Marlies4Bridgeport Islanders2WSommaire du match
67476Rochester Americans3Toronto Marlies4WXXSommaire du match
71501San Diego Gulls3Toronto Marlies6WSommaire du match
73521Belleville Senators3Toronto Marlies5WSommaire du match
76536Toronto Marlies2Ontario Reign0WSommaire du match
78554Toronto Marlies2Lehigh Valley Phantoms7LSommaire du match
80569Syracuse Crunch1Toronto Marlies4WSommaire du match
85586Tucson Roadrunners-Toronto Marlies-
88610Toronto Marlies-Coachella Valley Firebirds-
93639Toronto Marlies-San Jose Barracuda-
94647Milwaukee Admirals-Toronto Marlies-
97672Providence Bruins-Toronto Marlies-
98684Toronto Marlies-Bakersfield Condors-
103706Hartford Wolf Pack-Toronto Marlies-
105725Toronto Marlies-Rochester Americans-
106735Toronto Marlies-Springfield Thunderbirds-
108748Laval Rocket-Toronto Marlies-
110767Springfield Thunderbirds-Toronto Marlies-
113792Toronto Marlies-Milwaukee Admirals-
114798Iowa Wild-Toronto Marlies-
116817Toronto Marlies-Rockford IceHogs-
118832Rockford IceHogs-Toronto Marlies-
119845Toronto Marlies-Texas Stars-
121863Abbotsford Canucks-Toronto Marlies-
123870Toronto Marlies-Laval Rocket-
125890Toronto Marlies-Belleville Senators-
127900Ontario Reign-Toronto Marlies-
142923Toronto Marlies-Cleveland Monsters-
145933Toronto Marlies-Providence Bruins-
146944Cleveland Monsters-Toronto Marlies-
150970Cleveland Monsters-Toronto Marlies-
153989Toronto Marlies-Henderson Silver Knights-
1551000Calgary Wranglers-Toronto Marlies-
1581022Toronto Marlies-Hartford Wolf Pack-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1591031Charlotte Checkers-Toronto Marlies-
1631057Grand Rapids Griffins-Toronto Marlies-
1641064Toronto Marlies-Abbotsford Canucks-
1671089Coachella Valley Firebirds-Toronto Marlies-
1691106Toronto Marlies-Manitoba Moose-
1711122Texas Stars-Toronto Marlies-
1731134Toronto Marlies-Tucson Roadrunners-
1741141Toronto Marlies-Calgary Wranglers-
1761157Utica Comets-Toronto Marlies-
1781173Toronto Marlies-Grand Rapids Griffins-
1791177Toronto Marlies-Syracuse Crunch-
1861202Utica Comets-Toronto Marlies-
1901214Colorado Eagles-Toronto Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance33,71816,768
Assistance PCT93.66%93.16%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
20 2805 - 93.49% 118,509$2,133,159$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
926,137$ 1,872,544$ 1,872,544$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 710,339$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,370,177$ 108 12,487$ 1,348,596$




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
1Kyle Clifford55271845-169414111111822.88%25108819.7984121500012056.73%10.8300
2Calle Jarnkrok3312314320636110411.54%1260118.23314171000021154.76%21.4302
3Pontus Holmberg27162642-99525710914.68%1856320.8958131700002144.00%11.4900
4Max Lajoie6253540-140811241124.46%78145723.51411151500031150.00%00.5500
5Ryan Tverberg58181836211676711415.79%1373912.75910192100024051.29%00.9711

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
1Dennis Hildeby41211030.8903.05216322110999568400.6005
2Keith Petruzzelli1941110.8185.5586500804392574000
3Maxime Lagace1631210.8504.2389300634202391000
4Julian Junca10000.8577.202500321140000
5Matt Vernon10000.8332.6123001640000

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
Saison régulière
20233072001200105151-4615211011004476-321559001006175-14181051722770016444417311483372433895298211536943132.98%754342.67%025751549.90%22649645.56%23848249.38%539237607302655331
20243616130321111810711187502211635491898010005553243118196314021943524876183320363159902771837051194739.50%892769.66%027957748.35%33063851.72%24851548.16%679312730365764392
Total Saison régulière66233304411223258-353391603311107130-2333141701100116128-1261223368591023587965160733165760618188557539412412137836.62%1647057.32%0536109249.08%556113449.03%48699748.75%121854913376671419723
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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