Connexion

Toronto Marlies
GP: 72 | W: 25 | L: 33 | OTL: 14 | P: 64
GF: 191 | GA: 248 | PP%: 28.43% | PK%: 63.21%
DG: Albin Cöster | Morale : 23 | Moyenne d’équipe : 57
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Centre de jeu
Toronto Marlies
25-33-14, 64pts
3
FINAL
1 Rockford IceHogs
28-32-12, 68pts
Team Stats
L1SéquenceW1
14-17-5Fiche domicile11-18-7
11-16-9Fiche domicile17-14-5
7-3-0Derniers 10 matchs4-4-2
2.65Buts par match 2.61
3.44Buts contre par match 2.90
28.43%Pourcentage en avantage numérique31.46%
63.21%Pourcentage en désavantage numérique61.74%
Toronto Marlies
25-33-14, 64pts
1
FINAL
3 Colorado Eagles
43-23-6, 92pts
Team Stats
L1SéquenceW1
14-17-5Fiche domicile21-12-3
11-16-9Fiche domicile22-11-3
7-3-0Derniers 10 matchs4-5-1
2.65Buts par match 2.54
3.44Buts contre par match 2.26
28.43%Pourcentage en avantage numérique42.42%
63.21%Pourcentage en désavantage numérique70.00%
Meneurs d'équipe
Trey Fix-WolanskyButs
Trey Fix-Wolansky
28
Nicholas RobertsonPasses
Nicholas Robertson
31
Trey Fix-WolanskyPoints
Trey Fix-Wolansky
58
Mikhail AbramovPlus/Moins
Mikhail Abramov
8
Alex StalockVictoires
Alex Stalock
25
Alex StalockPourcentage d’arrêts
Alex Stalock
0.895

Statistiques d’équipe
Buts pour
191
2.65 GFG
Tirs pour
1925
26.74 Avg
Pourcentage en avantage numérique
28.4%
29 GF
Début de zone offensive
36.9%
Buts contre
248
3.44 GAA
Tirs contre
2178
30.25 Avg
Pourcentage en désavantage numérique
63.2%%
39 GA
Début de la zone défensive
32.2%
Informations de l'équipe

Directeur généralAlbin Cöster
EntraîneurSheldon Keefe
DivisionNortheast Division
ConférenceEastern Conference
CapitaineJordan Oesterle
Assistant #1Max McCormick
Assistant #2Jimmy Schuldt


Informations de l’aréna

Capacité3,000
Assistance2,873
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 60
Espoirs18


Historique d'équipe

Saison actuelle25-33-14 (64PTS)
Historique113-79-30 (0.509%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)16 - 13 (0.552%)
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
SP
Âge
Contrat
Salaire
1Matthew Knies0X100.00886189888089788625757464255150157720221925,000$
2Nicholas Robertson0X100.00693999846464717525747859665151156670231796,667$
3Will Cuylle (R)0X100.00978480798464787225657558255151180660222828,333$
4Trey Fix-Wolansky0X100.00715497776263787445657061795152159630252775,000$
5Jesse Ylonen0X100.00724096807262696234616566254852152620251775,000$
6Walker Duehr0X100.00844698807758676425676361254954155620272825,000$
7Curtis Douglas (R)0X100.00818070669750785275564655254949157580241837,500$
8Brett Seney0XX100.00645486705850836276635553505753151570281775,000$
9Max McCormick (A)0XX100.00635587696550835945575861636557145570321953,125$
10Brian Halonen0X100.00615789717450675845525956575150139560251925,000$
11Mikhail Abramov (R)0X100.00595388706450795876595256254848156550231809,444$
12Isaak Phillips (R)0X100.00855688758171646025594982254850157660231859,167$
13Jordan Oesterle (C)0X100.00744097756863646425634872256668144630321750,000$
14Jimmy Schuldt (A)0X100.00635788637250835325564265255954145570291750,000$
15Marc Del Gaizo0X100.00615588686750795625594862255150143560251850,833$
16William Villeneuve (R)0X100.00625586687450765225593758254747135560222817,778$
17Joseph Duszak0X100.00645685675950795625574454255552138540271750,000$
18Topias Vilen (R)0X100.00573695687250765225583856254646139540213836,667$
Rayé
1Brendan Perlini0XX100.00675887678150685445555256655753132570281750,000$
2Owen Sillinger0X100.00655583666350845575594758255249120540271750,000$
3Adam Brooks0X100.00573493666650735775545258255450120540281762,500$
4Samuel Laberge0X100.00696378627650795275514158505350120540271775,000$
5Shawn Element (R)0X100.00696277616950815175484558254646120530241750,000$
6Ty Voit (R)0X100.003030994635453030303030423028293020350213800,556$
7Mac Hollowell0X100.00655583676150815425634157255048120550261775,000$
8Mikko Kokkonen (R)0X100.00613689616750824925524261254545120530232846,667$
MOYENNE D’ÉQUIPE100.0068538870705574584258526035515024258
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
SP
Âge
Contrat
Salaire
1Alex Stalock0100.0062524858504743425059507562163510371800,000$
2Nolan Maier (R)0100.0044454564463037443743504545141430231750,000$
Rayé
MOYENNE D’ÉQUIPE100.005349476148394043445150605415247
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe60508050996050CAN451500,000$


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’équipe
POS
GP
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
1Trey Fix-WolanskyToronto Marlies (TOR)RW72283058-19121075952316416812.12%39131218.2338111675000002234.72%724424020.8818002514
2Nicholas RobertsonToronto Marlies (TOR)LW72223153-2660107111259631308.49%26135918.88561112691124584226.03%737935000.78310000255
3Will CuylleToronto Marlies (TOR)LW74282553710155126722106113013.33%17114115.42661210581012503325.00%726119010.9328533540
4Matthew KniesToronto Marlies (TOR)LW69163147-1149259082190601288.42%24107215.54461016490004462032.00%757737000.8816032124
5Walker DuehrToronto Marlies (TOR)RW72212344-2201161131935911910.88%30121316.852463321011221038.37%866331000.7302000222
6Curtis DouglasToronto Marlies (TOR)C72182139-351344018614189365020.22%57156521.752687730000431352.99%15741537000.5000206320
7Brett SeneyToronto Marlies (TOR)C/LW72162238-1625510013493204117.20%29136418.953694681012634156.66%8031427000.5600010213
8Jesse YlonenToronto Marlies (TOR)RW72191938-900120121174649710.92%36124917.3641511470001161225.00%685130000.6111000223
9Mikhail AbramovToronto Marlies (TOR)C721221338221071104108296611.11%24107514.9400000000091059.56%4551718000.6100002101
10Jimmy SchuldtToronto Marlies (TOR)D7212223-17241049985828171.72%83148620.65145268011165000%0960000.3100002000
11Jordan OesterleToronto Marlies (TOR)D7232023-2020741549332423.23%88171923.88235979000269000%02764000.2700000101
12Marc Del GaizoToronto Marlies (TOR)D7231619-20371582795429305.56%76169223.511013780000661066.67%32254000.2200012100
13Brendan PerliniToronto Marlies (TOR)LW/RW62711183100956461274711.48%1995215.3700003011191153.33%301320000.3800000022
14Isaak PhillipsToronto Marlies (TOR)D7031417-127577947422294.05%65121317.34224429000027000%01039000.2800001002
15William VilleneuveToronto Marlies (TOR)D7201313-9281055734511230%69145720.25055163011265000%0643000.1800010000
16Max McCormickToronto Marlies (TOR)LW/RW727411-149558627421459.46%972110.0200005000002143.14%511921000.3000001001
17Joseph DuszakToronto Marlies (TOR)D72099-16605263258120%52118216.4300008000012000%1530000.1500000000
18Brian HalonenToronto Marlies (TOR)LW72268-150031386126403.28%85778.0300000000000033.33%15195000.2800000000
19Topias VilenToronto Marlies (TOR)D72077-5952762241160%44113915.830000100019000%0731000.1200010000
20Samuel LabergeToronto Marlies (TOR)LW39000000200000%0180.480000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1394206345551-21750319515931760211667112209.74%7952351816.873557929881144821637231551.54%3378558625030.4783571021252128
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Alex StalockToronto Marlies (TOR)722532140.8953.1542132122121021375030.71031720343
2Nolan MaierToronto Marlies (TOR)70100.7536.35170001873421000072000
Statistiques d’équipe totales ou en moyenne792533140.8903.274384212392175141713317272343


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’équipe
POS
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 2
Salaire année 3
Salaire année 4
Salaire année 5
Salaire année 6
Salaire année 7
Salaire année 8
Salaire année 9
Salaire année 10
Plafond salarial année 2
Plafond salarial année 3
Plafond salarial année 4
Plafond salarial année 5
Plafond salarial année 6
Plafond salarial année 7
Plafond salarial année 8
Plafond salarial année 9
Plafond salarial année 10
Non-échange année 2
Non-échange année 3
Non-échange année 4
Non-échange année 5
Non-échange année 6
Non-échange année 7
Non-échange année 8
Non-échange année 9
Non-échange année 10
Lien
Adam BrooksToronto Marlies (TOR)C281996-12-31CANNo174 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm762,500$0$0$No---------------------------Lien / Lien NHL
Alex StalockToronto Marlies (TOR)G371987-12-31USANo200 Lbs6 ft0NoNoN/ANoNo12024-04-05FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Brendan PerliniToronto Marlies (TOR)LW/RW281996-12-31ENGNo211 Lbs6 ft3NoNoFree AgentNoNo12024-08-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Brett SeneyToronto Marlies (TOR)C/LW281996-12-31CANNo174 Lbs5 ft9NoNoFree AgentNoNo12024-08-10FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Brian HalonenToronto Marlies (TOR)LW251999-12-31USANo205 Lbs6 ft0NoNoTrade2024-09-26NoNo12024-08-10FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Curtis DouglasToronto Marlies (TOR)C242000-12-31CANYes248 Lbs6 ft9NoNoN/ANoNo1FalseFalsePro & Farm837,500$0$0$No---------------------------Lien / Lien NHL
Isaak PhillipsToronto Marlies (TOR)D232001-12-31CANYes193 Lbs6 ft2NoNoTrade2025-02-28NoNo1FalseFalsePro & Farm859,167$0$0$No---------------------------Lien / Lien NHL
Jesse YlonenToronto Marlies (TOR)RW251999-12-31USANo201 Lbs6 ft1NoNoTrade2024-09-19NoNo12024-08-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Jimmy SchuldtToronto Marlies (TOR)D291995-12-31USANo205 Lbs6 ft1NoNoFree AgentNoNo12024-09-03FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Jordan OesterleToronto Marlies (TOR)D321992-12-31USANo182 Lbs6 ft0NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Joseph DuszakToronto Marlies (TOR)D271997-12-31USANo185 Lbs5 ft10NoNoFree AgentNoNo12024-08-19FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Mac HollowellToronto Marlies (TOR)D261998-12-31CANNo170 Lbs5 ft9NoNoFree AgentNoNo12024-08-19FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Marc Del GaizoToronto Marlies (TOR)D251999-12-31USANo190 Lbs5 ft10NoNoTrade2024-09-25NoNo12024-08-15FalseFalsePro & Farm850,833$0$0$No---------------------------Lien
Matthew KniesToronto Marlies (TOR)LW222002-12-31USANo217 Lbs6 ft3NoNoDraftNoNo12024-06-20FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Max McCormickToronto Marlies (TOR)LW/RW321992-12-31USANo188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm953,125$0$0$No---------------------------Lien / Lien NHL
Mikhail AbramovToronto Marlies (TOR)C232001-12-31RUSYes160 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm809,444$0$0$No---------------------------Lien / Lien NHL
Mikko KokkonenToronto Marlies (TOR)D232001-12-31FINYes200 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm846,667$0$0$No846,667$--------846,667$--------No--------Lien
Nicholas RobertsonToronto Marlies (TOR)LW232001-12-31USANo178 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm796,667$0$0$No---------------------------Lien / Lien NHL
Nolan MaierToronto Marlies (TOR)G232001-12-31CANYes174 Lbs6 ft0NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Owen SillingerToronto Marlies (TOR)C271997-12-31CANNo183 Lbs5 ft10NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Samuel LabergeToronto Marlies (TOR)LW271997-12-31CANNo205 Lbs6 ft2NoNoFree AgentNoNo12024-08-19FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Shawn ElementToronto Marlies (TOR)C242000-12-31CANYes192 Lbs6 ft0NoNoFree AgentNoNo12024-08-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Topias VilenToronto Marlies (TOR)D212003-12-31FINYes194 Lbs6 ft1NoNoFree AgentNoNo32024-08-13FalseFalsePro & Farm836,667$0$0$No836,667$836,667$-------836,667$836,667$-------NoNo-------Lien
Trey Fix-WolanskyToronto Marlies (TOR)RW251999-12-31CANNo185 Lbs5 ft8NoNoTrade2024-09-30NoNo22024-08-11FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Ty VoitToronto Marlies (TOR)RW212003-12-31USAYes161 Lbs5 ft10NoNoFree AgentNoNo32024-08-13FalseFalsePro & Farm800,556$0$0$No800,556$800,556$-------800,556$800,556$-------NoNo-------
Walker DuehrToronto Marlies (TOR)RW271997-12-31USANo210 Lbs6 ft2NoNoFree AgentNoNo22024-08-10FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Lien / Lien NHL
Will CuylleToronto Marlies (TOR)LW222002-12-31CANYes204 Lbs6 ft3NoNoTrade2024-12-30NoNo2FalseFalsePro & Farm828,333$0$0$No828,333$--------828,333$--------No--------Lien
William VilleneuveToronto Marlies (TOR)D222002-12-31CANYes175 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm817,778$0$0$No817,778$--------817,778$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.68192 Lbs6 ft01.32807,116$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas RobertsonCurtis DouglasTrey Fix-Wolansky37122
2Will CuylleBrett SeneyWalker Duehr30113
3Matthew KniesMikhail AbramovJesse Ylonen23122
4Brian HalonenCurtis DouglasMax McCormick10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleMarc Del Gaizo40113
2Jimmy SchuldtWilliam Villeneuve34032
3Joseph DuszakTopias Vilen26131
4Jordan OesterleMarc Del Gaizo0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas RobertsonCurtis DouglasTrey Fix-Wolansky50005
2Will CuylleBrett SeneyWalker Duehr50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleMarc Del Gaizo50023
2Jimmy SchuldtWilliam Villeneuve50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Curtis DouglasNicholas Robertson50140
2Brett SeneyWill Cuylle50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleMarc Del Gaizo50140
2Jimmy SchuldtWilliam Villeneuve50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Curtis Douglas50050Jordan OesterleMarc Del Gaizo50140
2Brett Seney50050Jimmy SchuldtWilliam Villeneuve50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Curtis DouglasNicholas Robertson50122
2Brett SeneyWill Cuylle50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleMarc Del Gaizo50122
2Jimmy SchuldtWilliam Villeneuve50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicholas RobertsonCurtis DouglasTrey Fix-WolanskyJordan OesterleMarc Del Gaizo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicholas RobertsonCurtis DouglasTrey Fix-WolanskyJordan OesterleMarc Del Gaizo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jesse Ylonen, Max McCormick, Curtis DouglasJesse Ylonen, Max McCormickJesse Ylonen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Villeneuve, Joseph Duszak, Topias VilenWilliam VilleneuveWilliam Villeneuve, Joseph Duszak
Tirs de pénalité
Nicholas Robertson, Will Cuylle, Trey Fix-Wolansky, Walker Duehr, Jesse Ylonen
Gardien
#1 : Alex Stalock, #2 : Nolan Maier
Lignes d’attaque personnalisées en prolongation
Nicholas Robertson, Will Cuylle, Trey Fix-Wolansky, Walker Duehr, Jesse Ylonen, Max McCormick, Max McCormick, Curtis Douglas, Matthew Knies, Brian Halonen, Brett Seney
Lignes de défense personnalisées en prolongation
Jordan Oesterle, Marc Del Gaizo, Jimmy Schuldt, William Villeneuve, Joseph Duszak


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
Total
Domicile
Visiteur
#
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 Canucks21000010514110000003031000001021141.0005510013784621054534689673603627046200.00%000%0648120853.64%539105351.19%544101353.70%142772214826991483749
2Bakersfield Condors21100000711-4110000004311010000038-520.5007111800378462105453468967360511229404125.00%2150.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
3Belleville Senators311000018802010000147-31100000041330.50081624003784621086534689673601012924519333.33%220.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
4Bridgeport Islanders210000016331000000112-11100000051430.750612180037846210535346896736051167513133.33%10100.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
5Calgary Wranglers2010010057-21010000023-11000010034-110.250591400378462104953468967360671410323133.33%5180.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
6Charlotte Checkers210001007611000010023-11100000053230.750712190037846210405346896736057175405480.00%000%0648120853.64%539105351.19%544101353.70%142772214826991483749
7Chicago Wolves2010001067-11010000024-21000001043120.5006713103784621041534689673605014645300.00%3166.67%0648120853.64%539105351.19%544101353.70%142772214826991483749
8Cleveland Monsters31200000913-420200000611-51100000032120.33391726003784621097534689673609224851100.00%4250.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
9Coachella Valley Firebirds20001100440100010003211000010012-130.75046100037846210465346896736054242850000%5180.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
10Colorado Eagles2010100034-1100010002111010000013-220.500369103784621050534689673605330947100.00%20100.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
11Grand Rapids Griffins31200000511-62110000025-31010000036-320.33359140037846210745346896736010225059300.00%000%0648120853.64%539105351.19%544101353.70%142772214826991483749
12Hartford Wolf Pack20200000214-121010000028-61010000006-600.00023500378462104553468967360452141432150.00%8537.50%0648120853.64%539105351.19%544101353.70%142772214826991483749
13Henderson Silver Knights20200000311-81010000027-51010000014-300.0003580037846210535346896736083291040200.00%5340.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
14Hershey Bears32000001141222200000010731000000145-150.83314223600378462108753468967360101304495240.00%20100.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
15Iowa Wild2010010035-21010000023-11000010012-110.2503690037846210465346896736073259394250.00%20100.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
16Laval Rocket40400000813-51010000023-130300000610-400.0008122000378462101115346896736011633468810220.00%8450.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
17Lehigh Valley Phantoms21000100972110000004131000010056-130.75091625003784621058534689673607425634000%30100.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
18Manitoba Moose21001000844110000005231000100032141.000814220037846210555346896736050201141200.00%3166.67%0648120853.64%539105351.19%544101353.70%142772214826991483749
19Milwaukee Admirals2010010046-21000010034-11010000012-110.25046100037846210615346896736059242463133.33%110.00%1648120853.64%539105351.19%544101353.70%142772214826991483749
20Ontario Reign2010000135-21010000012-11000000123-110.2503580037846210455346896736069282423266.67%10100.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
21Providence Bruins201010006601010000023-11000100043120.50061218003784621056534689673605519449400.00%2150.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
22Rochester Americans31200000610-4110000003212020000038-520.33361016103784621078534689673601014217652150.00%6266.67%0648120853.64%539105351.19%544101353.70%142772214826991483749
23Rockford IceHogs210001006511000010034-11100000031230.75061016003784621052534689673604515441000%2150.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
24San Diego Gulls21100000770110000005231010000025-320.5007111800378462106253468967360631112326116.67%10100.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
25San Jose Barracuda21000010743110000004221000001032141.00071017003784621053534689673605010246100.00%10100.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
26Springfield Thunderbirds22000000642110000003211100000032141.0006111700378462106653468967360732120333133.33%5180.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
27Syracuse Crunch30200100815-71010000025-320100100610-410.1678142200378462108253468967360712024624125.00%7357.14%1648120853.64%539105351.19%544101353.70%142772214826991483749
28Texas Stars20200000813-51010000047-31010000046-200.000815230037846210585346896736081198453266.67%4175.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
29Tucson Roadrunners2010001057-2100000103211010000025-320.500571200378462105553468967360753417434125.00%6433.33%0648120853.64%539105351.19%544101353.70%142772214826991483749
30Utica Comets40300001716-92020000026-420100001510-510.12571118003784621098534689673601163914717114.29%7271.43%1648120853.64%539105351.19%544101353.70%142772214826991483749
31Wilkes-Barre Scranton Penguins2010000169-31010000057-21000000112-110.250691500378462106053468967360642231343133.33%8275.00%0648120853.64%539105351.19%544101353.70%142772214826991483749
Total72173304846191248-573611170231298120-22366160253493128-35640.4441913195103137846210192553468967360217871941014551022928.43%1063963.21%3648120853.64%539105351.19%544101353.70%142772214826991483749
_Since Last GM Reset72173304846191248-573611170231298120-22366160253493128-35640.4441913195103137846210192553468967360217871941014551022928.43%1063963.21%3648120853.64%539105351.19%544101353.70%142772214826991483749
_Vs Conference40112001305107147-4020611001025072-222059012035775-18320.40010718629310378462101091534689673601219383251780611829.51%632461.90%2648120853.64%539105351.19%544101353.70%142772214826991483749
_Vs Division20416001025981-221128000013246-14928001012735-8110.275599715610378462105395346896736059319111737824625.00%361266.67%1648120853.64%539105351.19%544101353.70%142772214826991483749

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7264L119131951019252178719410145531
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7217334846191248
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
361117231298120
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
36616253493128
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
1022928.43%1063963.21%3
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
5346896736037846210
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
648120853.64%539105351.19%544101353.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
142772214826991483749


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
317Cleveland Monsters7Toronto Marlies3LSommaire du match
531Toronto Marlies1Laval Rocket3LSommaire du match
745Hershey Bears2Toronto Marlies4WSommaire du match
1069Utica Comets3Toronto Marlies1LSommaire du match
1287Toronto Marlies4Utica Comets5LXXSommaire du match
1499Toronto Marlies2Syracuse Crunch5LSommaire du match
15108Toronto Marlies3Laval Rocket4LSommaire du match
17123Belleville Senators4Toronto Marlies3LXXSommaire du match
20143Grand Rapids Griffins1Toronto Marlies2WSommaire du match
22161Calgary Wranglers3Toronto Marlies2LSommaire du match
24175Toronto Marlies0Hartford Wolf Pack6LSommaire du match
27194Hershey Bears5Toronto Marlies6WSommaire du match
30216Toronto Marlies1Rochester Americans3LSommaire du match
32228Toronto Marlies3Springfield Thunderbirds2WSommaire du match
33239Cleveland Monsters4Toronto Marlies3LSommaire du match
36260Grand Rapids Griffins4Toronto Marlies0LSommaire du match
40290Bridgeport Islanders2Toronto Marlies1LXXSommaire du match
43312Toronto Marlies5Lehigh Valley Phantoms6LXSommaire du match
45324Syracuse Crunch5Toronto Marlies2LSommaire du match
48345Toronto Marlies3Calgary Wranglers4LXSommaire du match
49356Ontario Reign2Toronto Marlies1LSommaire du match
51378Toronto Marlies3Grand Rapids Griffins6LSommaire du match
53388Lehigh Valley Phantoms1Toronto Marlies4WSommaire du match
55400Toronto Marlies4Texas Stars6LSommaire du match
58422Milwaukee Admirals4Toronto Marlies3LXSommaire du match
61449Chicago Wolves4Toronto Marlies2LSommaire du match
63466Toronto Marlies1Henderson Silver Knights4LSommaire du match
65480Texas Stars7Toronto Marlies4LSommaire du match
67493Toronto Marlies2Ontario Reign3LXXSommaire du match
69504Toronto Marlies4Chicago Wolves3WXXSommaire du match
70515Colorado Eagles1Toronto Marlies2WXSommaire du match
73538Toronto Marlies2Tucson Roadrunners5LSommaire du match
75548San Diego Gulls2Toronto Marlies5WSommaire du match
77562Toronto Marlies4Providence Bruins3WXSommaire du match
78578Iowa Wild3Toronto Marlies2LSommaire du match
81596Toronto Marlies4Syracuse Crunch5LXSommaire du match
83609Wilkes-Barre Scranton Penguins7Toronto Marlies5LSommaire du match
85622Toronto Marlies3Cleveland Monsters2WSommaire du match
87642Providence Bruins3Toronto Marlies2LSommaire du match
89657Toronto Marlies1Utica Comets5LSommaire du match
91666Toronto Marlies1Wilkes-Barre Scranton Penguins2LXXSommaire du match
93678Charlotte Checkers3Toronto Marlies2LXSommaire du match
95693Toronto Marlies1Milwaukee Admirals2LSommaire du match
97703Toronto Marlies3Bakersfield Condors8LSommaire du match
98718Bakersfield Condors3Toronto Marlies4WSommaire du match
102743Utica Comets3Toronto Marlies1LSommaire du match
104761Toronto Marlies1Coachella Valley Firebirds2LXSommaire du match
106775Toronto Marlies2Rochester Americans5LSommaire du match
107782Rockford IceHogs4Toronto Marlies3LXSommaire du match
110804Belleville Senators3Toronto Marlies1LSommaire du match
112818Toronto Marlies3Manitoba Moose2WXSommaire du match
114838Toronto Marlies1Iowa Wild2LXSommaire du match
115845Laval Rocket3Toronto Marlies2LSommaire du match
117865Toronto Marlies2San Diego Gulls5LSommaire du match
119875Coachella Valley Firebirds2Toronto Marlies3WXSommaire du match
123901Tucson Roadrunners2Toronto Marlies3WXXSommaire du match
124909Toronto Marlies4Hershey Bears5LXXSommaire du match
128935Abbotsford Canucks0Toronto Marlies3WSommaire du match
132961Toronto Marlies3San Jose Barracuda2WXXSommaire du match
133968Springfield Thunderbirds2Toronto Marlies3WSommaire du match
137999Rochester Americans2Toronto Marlies3WSommaire du match
1381005Toronto Marlies2Laval Rocket3LSommaire du match
1411021Toronto Marlies2Abbotsford Canucks1WXXSommaire du match
1431034Manitoba Moose2Toronto Marlies5WSommaire du match
1461056Toronto Marlies5Charlotte Checkers3WSommaire du match
1481065Hartford Wolf Pack8Toronto Marlies2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1521092Henderson Silver Knights7Toronto Marlies2LSommaire du match
1531101Toronto Marlies4Belleville Senators1WSommaire du match
1561118Toronto Marlies5Bridgeport Islanders1WSommaire du match
1581125San Jose Barracuda2Toronto Marlies4WSommaire du match
1591134Toronto Marlies3Rockford IceHogs1WSommaire du match
1611143Toronto Marlies1Colorado Eagles3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3218
Assistance69,49533,932
Assistance PCT96.52%94.26%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2873 - 95.77% 78,739$2,834,616$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,786,866$ 2,259,924$ 2,259,924$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,286,924$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 16,932$ 0$




Toronto Marlies Leaders statistiques des joueurs (saison régulière)

#
Nom du joueur
GP
G
A
P
+/-
PIM
HIT
HTT
SHT
SHT%
SB
MP
AMG
PPG
PPA
PPP
PPS
PKG
PKA
PKP
PKS
GW
GT
FO%
HT
P/20
PSG
PSS
1Brett Seney2146493157-927630731853611.94%79395818.5019294836101715456.52%00.79614
2Michael Amadio148586412245618316752311.09%55272918.442332555400076845.82%20.89220
3Joey Anderson148545911331461721695479.87%66254517.2015243940000010440.00%00.89824
4Curtis Douglas220425193-2864351034829314.33%93382517.391313262700005552.58%00.49611
5Bobby McMann148286189726726621917116.37%46269818.23724311201165249.33%00.6612

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
1Erik Kallgren1468745140.9202.128768410310386121991050.78383
2Alex Stalock722532140.8953.1542132122121021375030.71031
3Luke Richardson21100.9143.0311900670400100
4Joseph Woll40000.8753.1911300648290000
5Nolan Maier70100.7536.35170001873421000

Toronto Marlies Statistiques de l'Équipe de Carrière

Total
Domicile
Visiteur
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
202276332506174167161638191103032887513381414031427986-79716725642316277255211983499727735622006690175316251975929.95%1845470.65%2710141450.21%761146152.09%48792952.42%151074515277661582791
2023722921054852021762636151202241106921436149032449684129320232352554407673172378770806781621979643157516261814022.10%1103964.55%0729150748.37%554120246.09%49999750.05%155685313986991438704
202472173304846191248-573611170231298120-22366160253493128-35641913195103137846210192553468967360217871941014551022928.43%1063963.21%3648120853.64%539105351.19%544101353.70%142772214826991483749
Total Saison régulière2207979015131915560585-25110454007585292287511034390881110268298-302545608981458911104232190486286180322222189184616320523738470648012826.67%40013267.00%52087412950.54%1854371649.89%1530293952.06%449323204407216545032245
Séries éliminatoires
2022624000001115-43210000065130300000510-5411223300235114039504921644811011812433.33%20860.00%0369737.11%6412551.20%327145.07%117541176213065
2023231490000075591612840000043311211650000032284287511218710154018279824727824330724230835544541935.19%451468.89%028051854.05%25248352.17%16836446.15%514287465221457225
Total Séries éliminatoires2916130000086741215105000004936131468000003738-1328613422010174323393828632829232888278945662662334.85%652266.15%031661551.38%31660851.97%20043545.98%631341582283588291

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
1Joey Anderson29132336132528301329.85%1255319.0765111400002036.84%01.3000
2Brett Seney291417311112741437917.72%947616.45178200018158.42%01.3000
3Michael Amadio2971219-3103130808.75%1352318.04369400020041.94%00.7300
4Tim Gettinger29711181110959344316.28%850917.56336500050036.11%00.7100
5Bobby McMann296814-28145464114.63%1449317.01279800040148.15%00.5700

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
1Erik Kallgren28151020.9202.36170400678384621100
2Luke Richardson21100.8783.969100649240000