Connexion

Toronto Marlies
GP: 56 | W: 37 | L: 12 | OTL: 7 | P: 81
GF: 163 | GA: 123 | PP%: 20.98% | PK%: 66.67%
DG: Albin Cöster | Morale : 72 | Moyenne d’équipe : 59
Prochains matchs #908 vs Milwaukee Admirals
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Centre de jeu
Toronto Marlies
37-12-7, 81pts
3
FINAL
2 Henderson Silver Knights
30-23-3, 63pts
Team Stats
L1SéquenceW1
17-8-3Fiche domicile15-12-2
20-4-4Fiche domicile15-11-1
7-2-1Derniers 10 matchs5-4-1
2.91Buts par match 2.50
2.20Buts contre par match 2.39
20.98%Pourcentage en avantage numérique37.61%
66.67%Pourcentage en désavantage numérique72.64%
Bakersfield Condors
31-16-9, 71pts
4
FINAL
2 Toronto Marlies
37-12-7, 81pts
Team Stats
W2SéquenceL1
15-7-6Fiche domicile17-8-3
16-9-3Fiche domicile20-4-4
5-2-3Derniers 10 matchs7-2-1
2.61Buts par match 2.91
2.23Buts contre par match 2.20
34.58%Pourcentage en avantage numérique20.98%
67.48%Pourcentage en désavantage numérique66.67%
Milwaukee Admirals
33-21-2, 68pts
Jour 112
Toronto Marlies
37-12-7, 81pts
Statistiques d’équipe
W1SéquenceL1
15-13-0Fiche domicile17-8-3
18-8-2Fiche visiteur20-4-4
7-2-110 derniers matchs7-2-1
2.61Buts par match 2.91
2.32Buts contre par match 2.91
26.12%Pourcentage en avantage numérique20.98%
63.82%Pourcentage en désavantage numérique66.67%
Toronto Marlies
37-12-7, 81pts
Jour 114
Bridgeport Islanders
24-21-11, 59pts
Statistiques d’équipe
L1SéquenceW2
17-8-3Fiche domicile11-8-9
20-4-4Fiche visiteur13-13-2
7-2-110 derniers matchs4-5-1
2.91Buts par match 2.14
2.20Buts contre par match 2.14
20.98%Pourcentage en avantage numérique30.77%
66.67%Pourcentage en désavantage numérique71.64%
Toronto Marlies
37-12-7, 81pts
Jour 116
Ontario Reign
28-20-7, 63pts
Statistiques d’équipe
L1SéquenceL1
17-8-3Fiche domicile14-10-4
20-4-4Fiche visiteur14-10-3
7-2-110 derniers matchs6-4-0
2.91Buts par match 2.58
2.20Buts contre par match 2.58
20.98%Pourcentage en avantage numérique30.33%
66.67%Pourcentage en désavantage numérique76.29%
Meneurs d'équipe
Brett SeneyButs
Brett Seney
25
Michael AmadioPasses
Michael Amadio
32
Brett SeneyPoints
Brett Seney
55
Plus/Moins
Alex Petrovic
20
Erik KallgrenVictoires
Erik Kallgren
37
Erik KallgrenPourcentage d’arrêts
Erik Kallgren
0.921

Statistiques d’équipe
Buts pour
163
2.91 GFG
Tirs pour
1877
33.52 Avg
Pourcentage en avantage numérique
21.0%
30 GF
Début de zone offensive
41.7%
Buts contre
123
2.20 GAA
Tirs contre
1475
26.34 Avg
Pourcentage en désavantage numérique
66.7%%
29 GA
Début de la zone défensive
31.9%
Informations de l'équipe

Directeur généralAlbin Cöster
EntraîneurSheldon Keefe
DivisionNorth Division
ConférenceEastern Conference
CapitaineMichael Amadio
Assistant #1Travis Dermott
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,947
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 60
Espoirs14


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
1Joey Anderson0X100.007343999270718265256173772559586782670251750,000$
2Michael Amadio (C)0XX100.007143947374627968466778652568676884650272762,500$
3Brett Seney0XX100.006661727761788170806669626254536483640271750,000$
4Tim Gettinger0X100.008483816784676963506161675747466175630251750,000$
5Brendan Perlini0XX100.008279858379494759504965666249486181620271937,500$
6Nicholas Robertson0X100.007742997660585168566466692549486584620222796,667$
7Max McCormick0X100.006867726767778067506465626354536482620312953,125$
8Bobby McMann0X100.007975836075676867495774667047466687620272762,500$
9Walker Duehr0X100.008546956178568156306176552549486781590261750,000$
10Curtis Douglas (R)0X100.008094396596748149634450624847465378590232837,500$
11Adam Brooks0X100.006762836962606060766255605451515881580272762,500$
12Mikhail Abramov (R)0X100.007161986563727655715155595347465883570222809,444$
13Anton Stralman46X100.0077679877666266712540418837879252886603711,250,000$
14Travis Dermott (A)0X100.0073439482746457552540497625676857816302711,500,000$
15Alex Petrovic0X100.008181767081808753254447644447465583620311937,500$
16Parker Wotherspoon0X100.006842906364626561254849752548475581580261937,500$
17William Villeneuve (R)0X100.007166816568727851254841593947465180570213817,778$
18Mac Hollowell0X100.006861876862565655255738593747465180560251750,000$
Rayé
1Nick Abruzzese (R)0XX100.007162916562687062786158625545456320580241850,000$
2Samuel Laberge0X100.007476696876596154504757625444445820570261937,500$
3Connor Ford0X100.007668936968656951504751624844445820560251750,000$
4Shawn Element (R)0X100.006470506970616355694758575544445720550231750,000$
5Mitchell Hoelscher (R)0X100.007365906665596153664656615344445820550231750,000$
6Alex Whelan0X100.007976876476494950504846634444445420550261750,000$
7Mikko Kokkonen (R)0X100.007472796772606446253739603744445120550223846,667$
8Filip Kral (R)0X100.007669915969586147253742614044445220540241810,000$
MOYENNE D’ÉQUIPE100.00746484707164685847525665455150596360
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
1Erik Kallgren0100.00645554757554746568637549496185630271750,000$
2Luke Richardson (R)0100.00725859665060615552525644446483560241937,500$
Rayé
1Jett Alexander0100.00505560775249585446595544445522530241937,500$
MOYENNE D’ÉQUIPE100.0062565873595464585558624646606357
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe60508050996050CAN441500,000$


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
1Brett SeneyToronto Marlies (TOR)C/LW56253055141166078691836211613.66%23109619.597512121110003525259.79%975520201.0038147634
2Michael AmadioToronto Marlies (TOR)C/RW562132531027156565216511039.72%24102118.2451823141290007604147.72%2416617001.04211012786
3Joey AndersonToronto Marlies (TOR)RW56232649920205758247651439.31%33103318.4526811116000003139.62%537313200.95311112642
4Bobby McMannToronto Marlies (TOR)C56122739101181001166978254015.38%20101518.142793990002530243.34%10891124000.77001055025
5Tim GettingerToronto Marlies (TOR)LW56141832101991159448139519610.07%1592916.595386960003534044.44%363714000.69344109231
6Nicholas RobertsonToronto Marlies (TOR)LW561510251240504115453859.74%1378013.94011244000046139.29%284217000.6400000334
7Brendan PerliniToronto Marlies (TOR)LW/RW561013231484601145813139797.63%1388915.880111680001252134.91%1064317000.5201372141
8Max McCormickToronto Marlies (TOR)LW567111824030723615548824.52%1065111.6400000000002146.67%15239000.5500123213
9Adam BrooksToronto Marlies (TOR)C562151711282040466422413.13%1069612.4400004000030056.06%437118000.4900121000
10Parker WotherspoonToronto Marlies (TOR)D564121619222044687026235.71%48118621.183145109000060010%01338000.2700022000
11Anton StralmanToronto Marlies (TOR)D56411159757557737028425.71%60128022.864157110000064100%01849000.2300636100
12Alex PetrovicToronto Marlies (TOR)D563121520653595624332186.98%37110919.812136106000057000%01227000.2700124010
13Travis DermottToronto Marlies (TOR)D56013139323049766026250%62135024.110221117000163000%01750000.1900141000
14Walker DuehrToronto Marlies (TOR)RW56561121010783110136734.95%661511.0000004000000030.00%103611000.3600020121
15Curtis DouglasToronto Marlies (TOR)C56471192361301326835141611.43%1375613.5100000000000048.71%544113000.29006713011
16Mikhail AbramovToronto Marlies (TOR)C56641041210344852263211.54%1159910.7100000000003051.34%224510000.3300101011
17William VilleneuveToronto Marlies (TOR)D5615671188055413511142.86%3792116.460000600004000%01020000.1300385000
18Mac HollowellToronto Marlies (TOR)D560667343032464416120%3591816.400000000000000%01125000.1300033000
Statistiques d’équipe totales ou en moyenne1008156258414178124084012621003187763110408.31%4701685216.7230467668112800017504301047.40%2880484382400.491135396366293329
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
1Erik KallgrenToronto Marlies (TOR)56371270.9212.053418441171473890420.78437560623
Statistiques d’équipe totales ou en moyenne56371270.9212.0534184411714738904237560623


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 Plafond 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
Adam BrooksToronto Marlies (TOR)C271996-12-31No174 Lbs5 ft10NoNoN/ANoNo2Pro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Alex PetrovicToronto Marlies (TOR)D311992-12-31No216 Lbs6 ft4NoNoN/ANoNo1Pro & Farm937,500$0$0$No------------------Lien
Alex WhelanToronto Marlies (TOR)RW261997-12-31No212 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Anton StralmanToronto Marlies (TOR)D371986-12-31No186 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------Lien / Lien NHL
Bobby McMannToronto Marlies (TOR)C271996-12-31No205 Lbs6 ft1NoNoN/ANoNo2Pro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Brendan PerliniToronto Marlies (TOR)LW/RW271996-12-31No211 Lbs6 ft3NoNoN/ANoNo1Pro & Farm937,500$0$0$No------------------Lien / Lien NHL
Brett SeneyToronto Marlies (TOR)C/LW271996-12-31No174 Lbs5 ft9NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Connor FordToronto Marlies (TOR)RW251998-12-31No187 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Curtis DouglasToronto Marlies (TOR)C232000-12-31Yes248 Lbs6 ft9NoNoN/ANoNo2Pro & Farm837,500$0$0$No837,500$--------No--------Lien / Lien NHL
Erik KallgrenToronto Marlies (TOR)G271996-12-31No190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Filip KralToronto Marlies (TOR)D241999-12-31Yes185 Lbs6 ft1NoNoN/ANoNo1Pro & Farm810,000$0$0$No------------------Lien / Lien NHL
Jett AlexanderToronto Marlies (TOR)G241999-12-31 17:43:38No214 Lbs6 ft5NoNoN/ANoNo1Pro & Farm937,500$0$0$No------------------
Joey AndersonToronto Marlies (TOR)RW251998-12-31No190 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Luke RichardsonToronto Marlies (TOR)G241999-12-31 19:20:39Yes170 Lbs6 ft3NoNoN/ANoNo1Pro & Farm937,500$0$0$No------------------
Mac HollowellToronto Marlies (TOR)D251998-12-31No170 Lbs5 ft9NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Max McCormickToronto Marlies (TOR)LW311992-12-31No188 Lbs5 ft11NoNoN/ANoNo2Pro & Farm953,125$0$0$No953,125$--------No--------Lien / Lien NHL
Michael AmadioToronto Marlies (TOR)C/RW271996-12-31No204 Lbs6 ft1NoNoN/ANoNo2Pro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Mikhail AbramovToronto Marlies (TOR)C222001-12-31Yes160 Lbs6 ft0NoNoN/ANoNo2Pro & Farm809,444$0$0$No809,444$--------No--------Lien / Lien NHL
Mikko KokkonenToronto Marlies (TOR)D222001-12-31Yes200 Lbs5 ft11NoNoN/ANoNo3Pro & Farm846,667$0$0$No846,667$846,667$-------NoNo-------
Mitchell HoelscherToronto Marlies (TOR)C232000-12-31Yes176 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Nicholas RobertsonToronto Marlies (TOR)LW222001-12-31No162 Lbs5 ft9NoNoN/ANoNo2Pro & Farm796,667$0$0$No796,667$--------No--------Lien / Lien NHL
Nick AbruzzeseToronto Marlies (TOR)C/LW241999-12-31Yes174 Lbs5 ft10NoNoN/ANoNo1Pro & Farm850,000$0$0$No------------------
Parker WotherspoonToronto Marlies (TOR)D261997-12-31No172 Lbs6 ft0NoNoN/ANoNo1Pro & Farm937,500$0$0$No------------------Lien / Lien NHL
Samuel LabergeToronto Marlies (TOR)LW261997-12-31No205 Lbs6 ft2NoNoN/ANoNo1Pro & Farm937,500$0$0$No------------------Lien / Lien NHL
Shawn ElementToronto Marlies (TOR)C232000-12-31Yes192 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Tim GettingerToronto Marlies (TOR)LW251998-12-31No218 Lbs6 ft6NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Travis DermottToronto Marlies (TOR)D271996-12-31No205 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien / Lien NHL
Walker DuehrToronto Marlies (TOR)RW261997-12-31No210 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
William VilleneuveToronto Marlies (TOR)D212002-12-31Yes175 Lbs6 ft1NoNoN/ANoNo3Pro & Farm817,778$0$0$No817,778$817,778$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.66192 Lbs6 ft11.38858,058$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett SeneyBobby McMannJoey Anderson32014
2Tim GettingerCurtis DouglasMichael Amadio28113
3Nicholas RobertsonAdam BrooksBrendan Perlini23122
4Max McCormickMikhail AbramovWalker Duehr17122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottAnton Stralman38023
2Alex PetrovicParker Wotherspoon32032
3William VilleneuveMac Hollowell30131
4Travis DermottAnton Stralman0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett SeneyMichael AmadioJoey Anderson50005
2Tim GettingerBobby McMannMichael Amadio50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottAnton Stralman50023
2Alex PetrovicParker Wotherspoon50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael AmadioBrett Seney50140
2Bobby McMannTim Gettinger50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottAnton Stralman50140
2Alex PetrovicParker Wotherspoon50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Amadio50050Travis DermottAnton Stralman50140
2Bobby McMann50050Alex PetrovicParker Wotherspoon50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael AmadioBrett Seney50122
2Bobby McMannTim Gettinger50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottAnton Stralman50122
2Alex PetrovicParker Wotherspoon50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett SeneyMichael AmadioJoey AndersonTravis DermottAnton Stralman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett SeneyMichael AmadioJoey AndersonTravis DermottAnton Stralman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brendan Perlini, Nicholas Robertson, Max McCormickBrendan Perlini, Nicholas RobertsonBrendan Perlini
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Parker Wotherspoon, William Villeneuve, Mac HollowellParker WotherspoonParker Wotherspoon, William Villeneuve
Tirs de pénalité
Joey Anderson, Michael Amadio, Brett Seney, Tim Gettinger, Brendan Perlini
Gardien
#1 : Erik Kallgren, #2 : Luke Richardson


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 Canucks21001000642110000003211000100032141.000691500375857156661662461953481375437228.57%5260.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
2Bakersfield Condors2110000056-11010000024-21100000032120.500510151037585715656166246195347133741300.00%6266.67%0564118247.72%42590247.12%37674850.27%122567510745441122549
3Belleville Senators31000011752100000102112100000154150.833791600375857159561662461953903275639111.11%5180.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
4Calgary Wranglers2010010036-31000010034-11010000002-210.25034700375857155861662461953792530424125.00%000%0564118247.72%42590247.12%37674850.27%122567510745441122549
5Charlotte Checkers22000000615110000002021100000041341.0006111701375857158261662461953371112424250.00%10100.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
6Chicago Wolves211000004401010000012-11100000032120.5004590037585715766166246195348121434400.00%2150.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
7Cleveland Monsters21100000440211000004400000000000020.50045900375857155961662461953671229567114.29%2150.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
8Coachella Valley Firebirds2020000026-41010000013-21010000013-200.0002460037585715706166246195348147464400.00%2150.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
9Colorado Eagles1010000024-2000000000001010000024-200.000235003758571525616624619532483325300.00%4175.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
10Grand Rapids Griffins11000000202000000000001100000020221.0002460137585715386166246195318121430200.00%20100.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
11Hartford Wolf Pack21000010743110000003121000001043141.0007111800375857155861662461953371416467342.86%3166.67%0564118247.72%42590247.12%37674850.27%122567510745441122549
12Henderson Silver Knights20001010752100010004311000001032141.0007111800375857156961662461953682017382150.00%10100.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
13Hershey Bears11000000321000000000001100000032121.00034700375857153461662461953301517243133.33%110.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
14Iowa Wild20000020642100000103211000001032141.00067130037585715676166246195354254835600.00%40100.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
15Laval Rocket320000101376110000005322100001084461.00013233600375857151026166246195387264972600.00%220.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
16Lehigh Valley Phantoms22000000633110000003211100000031241.00069150037585715756166246195355133647300.00%3166.67%0564118247.72%42590247.12%37674850.27%122567510745441122549
17Manitoba Moose210000015411000000112-11100000042230.750581300375857155561662461953471070318112.50%5260.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
18Ontario Reign2010000157-21010000034-11000000123-110.25059140037585715606166246195345161951200.00%2150.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
19Providence Bruins10000010431100000104310000000000021.0004590037585715266166246195342538165120.00%4175.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
20Rochester Americans31101000752110000004222010100033040.66771118003758571510261662461953942638637114.29%40100.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
21Rockford IceHogs220000001147110000006241100000052341.00011172800375857156761662461953492794418562.50%7357.14%0564118247.72%42590247.12%37674850.27%122567510745441122549
22San Diego Gulls1000010012-1000000000001000010012-110.5001230037585715306166246195328113623400.00%30100.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
23San Jose Barracuda1010000024-21010000024-20000000000000.000224003758571537616624619533571723300.00%10100.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
24Springfield Thunderbirds310011001394210001009631000100043150.83313203300375857151156166246195374301307211654.55%5340.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
25Syracuse Crunch430000011174220000006242100000155070.8751119300037585715136616624619539936105939222.22%5180.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
26Texas Stars211000006601010000024-21100000042220.500610161037585715696166246195345174955400.00%220.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
27Tucson Roadrunners11000000633110000006330000000000021.0006915003758571544616624619533513718200.00%10100.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
28Utica Comets211000006421010000024-21100000040420.500612180137585715656166246195339655455240.00%5260.00%0564118247.72%42590247.12%37674850.27%122567510745441122549
29Wilkes-Barre Scranton Penguins11000000303110000003030000000000021.00035801375857153261662461953611029100.00%000%0564118247.72%42590247.12%37674850.27%122567510745441122549
Total562612043741631234028138012318467172813403143795623810.72316325842124375857151877616624619531475470124412621433020.98%872966.67%0564118247.72%42590247.12%37674850.27%122567510745441122549
_Since Last GM Reset562612043741631234028138012318467172813403143795623810.72316325842124375857151877616624619531475470124412621433020.98%872966.67%0564118247.72%42590247.12%37674850.27%122567510745441122549
_Vs Conference31183031429658381611200120503020157103022462818530.855961532490337585715104761662461953805240685711842226.19%451664.44%0564118247.72%42590247.12%37674850.27%122567510745441122549
_Vs Division12103020223321127620001016133541020121789301.2503351840237585715399616624619532827317728130723.33%16756.25%0564118247.72%42590247.12%37674850.27%122567510745441122549

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5681L1163258421187714754701244126224
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5626124374163123
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2813812318467
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2813431437956
Derniers 10 matchs
WLOTWOTL SOWSOL
720001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1433020.98%872966.67%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
6166246195337585715
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
564118247.72%42590247.12%37674850.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
122567510745441122549


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
210Syracuse Crunch1Toronto Marlies3BWSommaire du match
533Springfield Thunderbirds4Toronto Marlies3BLXSommaire du match
648Toronto Marlies2Rochester Americans1AWXSommaire du match
970Abbotsford Canucks2Toronto Marlies3BWSommaire du match
1077Toronto Marlies3Laval Rocket2AWXXSommaire du match
13101Cleveland Monsters1Toronto Marlies3BWSommaire du match
15118Toronto Marlies2Belleville Senators3ALXXSommaire du match
17131Toronto Marlies3Syracuse Crunch2AWSommaire du match
19141Utica Comets4Toronto Marlies2BLSommaire du match
21162Belleville Senators1Toronto Marlies2BWXXSommaire du match
24180Toronto Marlies3Belleville Senators1AWSommaire du match
25196Springfield Thunderbirds2Toronto Marlies6BWSommaire du match
27208Toronto Marlies2Ontario Reign3ALXXSommaire du match
30228Lehigh Valley Phantoms2Toronto Marlies3BWSommaire du match
32248Toronto Marlies3Lehigh Valley Phantoms1AWSommaire du match
34260Laval Rocket3Toronto Marlies5BWSommaire du match
36279Toronto Marlies0Calgary Wranglers2ALSommaire du match
38292Providence Bruins3Toronto Marlies4BWXXSommaire du match
40313Toronto Marlies2Colorado Eagles4ALSommaire du match
42326Tucson Roadrunners3Toronto Marlies6BWSommaire du match
43340Toronto Marlies3Bakersfield Condors2AWSommaire du match
45356Rochester Americans2Toronto Marlies4BWSommaire du match
46366Toronto Marlies4Hartford Wolf Pack3AWXXSommaire du match
49383Toronto Marlies4Manitoba Moose2AWSommaire du match
50398Toronto Marlies4Springfield Thunderbirds3AWXSommaire du match
51408Wilkes-Barre Scranton Penguins0Toronto Marlies3BWSommaire du match
54430Charlotte Checkers0Toronto Marlies2BWSommaire du match
56449Toronto Marlies3Hershey Bears2AWSommaire du match
58463Coachella Valley Firebirds3Toronto Marlies1BLSommaire du match
61483Toronto Marlies4Utica Comets0AWSommaire du match
62494Hartford Wolf Pack1Toronto Marlies3BWSommaire du match
65514Toronto Marlies5Rockford IceHogs2AWSommaire du match
67525Ontario Reign4Toronto Marlies3BLSommaire du match
69540Toronto Marlies2Grand Rapids Griffins0AWSommaire du match
70552Toronto Marlies1Coachella Valley Firebirds3ALSommaire du match
72568Texas Stars4Toronto Marlies2BLSommaire du match
75589Chicago Wolves2Toronto Marlies1BLSommaire du match
77608Toronto Marlies3Abbotsford Canucks2AWXSommaire du match
79621Toronto Marlies1San Diego Gulls2ALXSommaire du match
80629Calgary Wranglers4Toronto Marlies3BLXSommaire du match
82650Cleveland Monsters3Toronto Marlies1BLSommaire du match
84672Toronto Marlies4Charlotte Checkers1AWSommaire du match
85680Toronto Marlies3Iowa Wild2AWXXSommaire du match
86693San Jose Barracuda4Toronto Marlies2BLSommaire du match
88710Toronto Marlies3Chicago Wolves2AWSommaire du match
91728Toronto Marlies2Syracuse Crunch3ALXXSommaire du match
92734Henderson Silver Knights3Toronto Marlies4BWXSommaire du match
94757Toronto Marlies5Laval Rocket2AWSommaire du match
95766Rockford IceHogs2Toronto Marlies6BWSommaire du match
98791Manitoba Moose2Toronto Marlies1BLXXSommaire du match
100806Toronto Marlies4Texas Stars2AWSommaire du match
102821Syracuse Crunch1Toronto Marlies3BWSommaire du match
104841Toronto Marlies1Rochester Americans2ALSommaire du match
105853Iowa Wild2Toronto Marlies3BWXXSommaire du match
108872Toronto Marlies3Henderson Silver Knights2AWXXSommaire du match
109886Bakersfield Condors4Toronto Marlies2BLSommaire du match
112908Milwaukee Admirals-Toronto Marlies-
114920Toronto Marlies-Bridgeport Islanders-
116937Toronto Marlies-Ontario Reign-
117950Abbotsford Canucks-Toronto Marlies-
119964Toronto Marlies-San Jose Barracuda-
121979Toronto Marlies-Cleveland Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122988Colorado Eagles-Toronto Marlies-
1251011Utica Comets-Toronto Marlies-
1271034Toronto Marlies-Milwaukee Admirals-
1281043Toronto Marlies-Tucson Roadrunners-
1291053San Diego Gulls-Toronto Marlies-
1321077Bridgeport Islanders-Toronto Marlies-
1341087Toronto Marlies-Providence Bruins-
1361105Grand Rapids Griffins-Toronto Marlies-
1401127Hershey Bears-Toronto Marlies-
1411136Toronto Marlies-Wilkes-Barre Scranton Penguins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3615
Assistance55,03327,491
Assistance PCT98.27%98.18%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
8 2947 - 98.24% 89,071$2,493,979$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,287,599$ 2,488,369$ 2,488,369$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,904,871$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
712,565$ 34 20,609$ 700,706$




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