TORONTO Marlies
GP: 63 | W: 18 | L: 36 | OTL: 9 | P: 45
GF: 202 | GA: 226 | PP%: 13.17% | PK%: 70.21%
DG: Benoit Paulin | Morale : 99 | Moyenne d'Équipe : 65
Prochain matchs #837 vs BAKERSFIELD Condors
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Tyson Jost0X100.0065398769707685677368646669636786997002251,500,000$
2Casey Mittelstadt0X100.006239886677818364716362656663658799690211875,000$
3Adam Erne0X100.008947776380748762586159576368657499680253800,000$
4Henrik Borgstrom0X100.0064438664838077667361596366656281996802361,250,000$
5Brett Ritchie0X100.0084507861897375595257586059736862996702711,750,000$
6John Quenneville (R)0X100.006145866376838061736062646367647699670243750,000$
7Paul Bittner (R)0XX100.007351875990858258555756605967647399670233750,000$
8Dominic Toninato (R)0X100.006347826179807859655860625971665799670263750,000$
9Jordan Kyrou (R)0X100.005739896769777666586364656863647699670223750,000$
10Lukas Vejdemo (R)0X100.006245906279788363746158646567646299670243750,000$
11Rasmus Asplund (R)0X100.005839826670817863726461656365667799670223750,000$
12Isaac Ratcliffe (R)0X100.007452835692858755515454595361627699660213750,000$
13Matthew Phillips (R)0X100.005339876157837862586059576263616499640223750,000$
14Spencer Smallman (R)0X100.006345846077757361555952586167635299640233750,000$
15Daniel O'Regan (R)0X100.004435827658474161485858585858497999570263750,000$
16Ryan Collins (R)0X100.007749875593767856305354604567647099650243750,000$
17Martin Fehervary (R)0X100.006445876081847458305757594661637499650206800,000$
18Nick Ebert0X100.006247865774828156305554584671665999640261750,000$
19Jesper Lindgren (R)0X100.005341835867757457305652545165636699610233750,000$
20Andrew Welinski (R)0X100.004835816575474350304140564960507199520273750,000$
Rayé
MOYENNE D'ÉQUIPE100.00644485627776766054585761596563719965
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
1Ville Husso (R)100.00748482847372747372747369736199680
2Marcus Hogberg (R)100.00737573917271737271737271756299670
3Veini Vehvilainen (R)100.00718280717069717069717065696299650
Rayé
1Brandon Halverson (R)100.00605856885958605958605967716799560
MOYENNE D'ÉQUIPE100.0070757384696870696870696872639964
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Dineen69696969818156CAN583300,000$


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
1Adam ErneTORONTO Marlies (TOR)LW6336478311200171862887419812.50%58113017.955914411310001235262.65%8320021.4713000674
2Brett RitchieTORONTO Marlies (TOR)RW633940791124099902869222313.64%55110517.555101540131000004154.05%7400021.4301000335
3Ryan CollinsTORONTO Marlies (TOR)D63146276611402659215050899.33%164137521.83661253105000146100.00%022001.1100000346
4Matthew PhillipsTORONTO Marlies (TOR)RW63291948182014652245515212.95%5374111.7600000000002047.62%4201031.3000000221
5Isaac RatcliffeTORONTO Marlies (TOR)LW631628441824012957169461299.47%4074011.7600000000001040.00%5002001.1900000033
6Paul BittnerTORONTO Marlies (TOR)C/LW6333841-9300181952969618911.15%118100515.9552766161000003048.39%6210030.8200000503
7Andrew WelinskiTORONTO Marlies (TOR)D63630368280824644202913.64%10789114.1600000000233000.00%002000.8100000101
8John QuennevilleTORONTO Marlies (TOR)C6322224-12140761011925312011.46%9065310.3700000000001061.81%72802020.7300000111
9Jesper LindgrenTORONTO Marlies (TOR)D31279-33155121147914.29%3239912.880000000000000.00%000000.4500000000
10Dominic ToninatoTORONTO Marlies (TOR)C63000000012000.00%180.140002800000000.00%000000.0000000000
11Jordan KyrouTORONTO Marlies (TOR)C63000000000000.00%000.010000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne66119724344048287510686541665493113811.83%718805212.18212748202537000410317358.90%1039590121.0914000212024
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
1Marcus HogbergTORONTO Marlies (TOR)63183690.9243.433744123214281128920.7221863639104
Stats d'équipe Total ou en Moyenne63183690.9243.433744123214281128920.7221863639104


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam ErneTORONTO Marlies (TOR)LW254/20/1995No96 Kg185 CMNoNoNo3Pro & Farm800,000$169,492$800,000$169,492$0$0$No800,000$800,000$Lien
Andrew WelinskiTORONTO Marlies (TOR)D274/27/1993Yes91 Kg188 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Brandon HalversonTORONTO Marlies (TOR)G243/29/1996Yes95 Kg193 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Brett RitchieTORONTO Marlies (TOR)RW277/1/1993No100 Kg193 CMNoNoNo1Pro & Farm1,750,000$370,763$1,750,000$370,763$0$0$NoLien
Casey MittelstadtTORONTO Marlies (TOR)C2111/22/1998No90 Kg185 CMNoNoNo1Pro & Farm875,000$185,381$750,000$158,898$0$0$NoLien
Daniel O'ReganTORONTO Marlies (TOR)C261/30/1994Yes82 Kg175 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Dominic ToninatoTORONTO Marlies (TOR)C263/9/1994Yes87 Kg188 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Henrik BorgstromTORONTO Marlies (TOR)C238/6/1997No90 Kg191 CMNoNoNo6Pro & Farm1,250,000$264,831$750,000$158,898$0$0$No1,250,000$1,250,000$1,250,000$1,250,000$1,250,000$Lien
Isaac RatcliffeTORONTO Marlies (TOR)LW212/15/1999Yes91 Kg198 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Jesper LindgrenTORONTO Marlies (TOR)D235/19/1997Yes75 Kg183 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
John QuennevilleTORONTO Marlies (TOR)C244/16/1996Yes89 Kg185 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Jordan KyrouTORONTO Marlies (TOR)C225/5/1998Yes80 Kg183 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Lukas VejdemoTORONTO Marlies (TOR)C241/25/1996Yes88 Kg188 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Marcus HogbergTORONTO Marlies (TOR)G2511/25/1994Yes95 Kg196 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Martin FehervaryTORONTO Marlies (TOR)D2010/6/1999Yes91 Kg188 CMNoNoNo6Pro & Farm800,000$169,492$750,000$158,898$0$0$No800,000$800,000$800,000$800,000$800,000$
Matthew PhillipsTORONTO Marlies (TOR)RW224/6/1998Yes64 Kg170 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Nick EbertTORONTO Marlies (TOR)D265/11/1994No91 Kg183 CMNoNoNo1Pro & Farm750,000$158,898$750,000$158,898$0$0$NoLien
Paul BittnerTORONTO Marlies (TOR)C/LW2311/4/1996Yes93 Kg196 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Rasmus AsplundTORONTO Marlies (TOR)C2212/3/1997Yes86 Kg180 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Ryan CollinsTORONTO Marlies (TOR)D245/6/1996Yes98 Kg196 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Spencer SmallmanTORONTO Marlies (TOR)RW239/9/1996Yes90 Kg185 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Tyson JostTORONTO Marlies (TOR)C223/14/1998No85 Kg180 CMNoNoNo5Pro & Farm1,500,000$317,797$1,500,000$317,797$0$0$No1,500,000$1,500,000$1,500,000$1,500,000$Lien
Veini VehvilainenTORONTO Marlies (TOR)G232/13/1997Yes82 Kg183 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Ville HussoTORONTO Marlies (TOR)G252/6/1995Yes93 Kg191 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2423.6789 Kg188 CM3.08853,125$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Adam ErneBrett Ritchie31122
2Paul Bittner26122
3Isaac RatcliffeMatthew Phillips23122
4John Quenneville20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan Collins31122
226122
3Andrew Welinski23122
4Ryan Collins20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Adam ErneBrett Ritchie55122
2Paul Bittner45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan Collins55122
245122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Adam Erne45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan Collins55122
245122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Ryan Collins55122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Adam Erne45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan Collins55122
245122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Adam ErneBrett RitchieRyan Collins
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Adam ErneBrett RitchieRyan Collins
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dominic Toninato, Jordan Kyrou, Lukas VejdemoDominic Toninato, Jordan KyrouLukas Vejdemo
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Andrew Welinski, Andrew Welinski,
Tirs de Pénalité
, , , Adam Erne, Brett Ritchie
Gardien
#1 : , #2 : Marcus Hogberg
Lignes d'Attaque Perso. en Prol.
, , , Adam Erne, Brett Ritchie, John Quenneville, John Quenneville, Paul Bittner, Dominic Toninato, Jordan Kyrou, Lukas Vejdemo
Lignes de Défense Perso. en Prol.
, Ryan Collins, , ,


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
LigueDomicileVisiteur
# 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
1BELLEVILLE Senators11000000835000000000001100000083521.0008142200956145148601568648253186323266.67%3166.67%0409150227.23%604271022.29%24897525.44%11538231990417674301
2BRIDGEPORT Sound Tigers4030001048-42010001045-12020000003-320.2504480095614515960156864825168638441500.00%4175.00%0409150227.23%604271022.29%24897525.44%11538231990417674301
3BROOKLYN Wolfpack513001001019-92110000033030200100716-930.30010132300956145114660156864825197555714320210.00%211052.38%0409150227.23%604271022.29%24897525.44%11538231990417674301
4CAROLINA Checkers2200000017116110000008171100000090941.000172643019561451113601568648255125251100.00%10100.00%0409150227.23%604271022.29%24897525.44%11538231990417674301
5CHICAGO Wolves2020000026-41010000014-31010000012-100.00022400956145139601568648258624628800.00%3166.67%0409150227.23%604271022.29%24897525.44%11538231990417674301
6COLORADO Eagles504000011321-8302000011015-52020000036-310.1001318310095614511006015686482523286229313430.77%10370.00%0409150227.23%604271022.29%24897525.44%11538231990417674301
7GRAND RAPIDS Griffins2110000056-1110000004311010000013-220.5005813009561451476015686482510026429700.00%110.00%0409150227.23%604271022.29%24897525.44%11538231990417674301
8HERSEY Bears31100001914-50000000000031100001914-530.5009152400956145195601568648251535716537228.57%8275.00%0409150227.23%604271022.29%24897525.44%11538231990417674301
9IOWA Wild20200000210-81010000004-41010000026-400.000246009561451526015686482585251431200.00%7357.14%0409150227.23%604271022.29%24897525.44%11538231990417674301
10LAVAL Rocket30200100614-820200000310-71000010034-110.16767130095614515060156864825169591847800.00%6266.67%0409150227.23%604271022.29%24897525.44%11538231990417674301
11LEHIGH VALLEY Phantoms2020000059-41010000034-11010000025-300.00056110095614514160156864825117448403133.33%3233.33%0409150227.23%604271022.29%24897525.44%11538231990417674301
12MANITOBA Moose2010000139-61000000123-11010000016-510.2503470095614515260156864825116311053300.00%5180.00%0409150227.23%604271022.29%24897525.44%11538231990417674301
13MILWAUKEE Admirals3020010039-62010010026-41010000013-210.167347109561451476015686482516746245711100.00%11190.91%0409150227.23%604271022.29%24897525.44%11538231990417674301
14ONTARIO Reign1000010045-11000010045-10000000000010.500461000956145136601568648257015219100.00%000.00%0409150227.23%604271022.29%24897525.44%11538231990417674301
15PROVIDENCE Bruins50500000818-102020000036-330300000512-700.0008111910956145179601568648252045922772428.33%8450.00%0409150227.23%604271022.29%24897525.44%11538231990417674301
16ROCKFORD IceHogs32000100171342200000014951000010034-150.83317254200956145111060156864825120361455300.00%7357.14%0409150227.23%604271022.29%24897525.44%11538231990417674301
17SAN ANTONIO Rampage11000000835110000008350000000000021.0008101800956145138601568648254462144125.00%110.00%0409150227.23%604271022.29%24897525.44%11538231990417674301
18SAN DIEGO Gulls44000000375322200000016313220000002121981.00037589501956145138260156864825631214983133.33%60100.00%0409150227.23%604271022.29%24897525.44%11538231990417674301
19SCRANTON Penguins2020000048-41010000035-21010000013-200.0004480095614513460156864825104341028700.00%4175.00%0409150227.23%604271022.29%24897525.44%11538231990417674301
20STOCKTON Flames2110000059-41010000006-61100000053220.50057120095614513360156864825109314275120.00%2150.00%0409150227.23%604271022.29%24897525.44%11538231990417674301
21SYRACUSE Crunch1010000037-41010000037-40000000000000.00033600956145121601568648257718819300.00%40100.00%0409150227.23%604271022.29%24897525.44%11538231990417674301
22TUSCON Roadrunners522000012020020200000310-7320000011710750.5002035550095614511526015686482526063187913323.08%9188.89%0409150227.23%604271022.29%24897525.44%11538231990417674301
23UTICA Comets312000009902020000049-51100000050520.33391524019561451506015686482517756365113215.38%17382.35%0409150227.23%604271022.29%24897525.44%11538231990417674301
Total63173600514202226-24328190021298121-233191700302104105-1450.357202299501239561451182460156864825290087932511681672213.17%1414270.21%0409150227.23%604271022.29%24897525.44%11538231990417674301
_Since Last GM Reset63173600514202226-24328190021298121-233191700302104105-1450.357202299501239561451182460156864825290087932511681672213.17%1414270.21%0409150227.23%604271022.29%24897525.44%11538231990417674301
_Vs Conference44122400413144153-922613001117079-9226110030274740330.37514421535922956145113086015686482519545982518111241814.52%1083171.30%0409150227.23%604271022.29%24897525.44%11538231990417674301
_Vs Division1551300102754827817000002733-674600102481533130.43375121196029561451653601568648256791777427435720.00%34585.29%0409150227.23%604271022.29%24897525.44%11538231990417674301

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6345OTL120229950118242900879325116823
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6317360514202226
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32819021298121
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
319170302104105
Derniers 10 Matchs
WLOTWOTL SOWSOL
320203
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1672213.17%1414270.21%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
601568648259561451
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
409150227.23%604271022.29%24897525.44%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11538231990417674301


Derniers Match 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
1 - 2021-01-179TORONTO Marlies4HERSEY Bears2WSommaire du Match
2 - 2021-01-1815UTICA Comets5TORONTO Marlies3LR3Sommaire du Match
4 - 2021-01-2030PROVIDENCE Bruins4TORONTO Marlies2LSommaire du Match
6 - 2021-01-2252TORONTO Marlies9TUSCON Roadrunners3WSommaire du Match
7 - 2021-01-2362ROCKFORD IceHogs3TORONTO Marlies5WSommaire du Match
8 - 2021-01-2475TORONTO Marlies1BROOKLYN Wolfpack2LSommaire du Match
10 - 2021-01-2688COLORADO Eagles6TORONTO Marlies4LSommaire du Match
13 - 2021-01-29108COLORADO Eagles5TORONTO Marlies3LSommaire du Match
14 - 2021-01-30121TORONTO Marlies3BROOKLYN Wolfpack4LXSommaire du Match
15 - 2021-01-31133LAVAL Rocket6TORONTO Marlies3LSommaire du Match
16 - 2021-02-01141TORONTO Marlies2HERSEY Bears8LSommaire du Match
17 - 2021-02-02149TORONTO Marlies0PROVIDENCE Bruins4LSommaire du Match
19 - 2021-02-04168TUSCON Roadrunners5TORONTO Marlies2LSommaire du Match
20 - 2021-02-05181TORONTO Marlies5UTICA Comets0WR3Sommaire du Match
22 - 2021-02-07195UTICA Comets4TORONTO Marlies1LSommaire du Match
24 - 2021-02-09210IOWA Wild4TORONTO Marlies0LSommaire du Match
26 - 2021-02-11223TORONTO Marlies3BROOKLYN Wolfpack10LSommaire du Match
27 - 2021-02-12236CAROLINA Checkers1TORONTO Marlies8WSommaire du Match
29 - 2021-02-14252TORONTO Marlies1MANITOBA Moose6LSommaire du Match
30 - 2021-02-15260TORONTO Marlies1CHICAGO Wolves2LSommaire du Match
31 - 2021-02-16272SAN ANTONIO Rampage3TORONTO Marlies8WSommaire du Match
32 - 2021-02-17289TORONTO Marlies3ROCKFORD IceHogs4LXSommaire du Match
34 - 2021-02-19299STOCKTON Flames6TORONTO Marlies0LSommaire du Match
35 - 2021-02-20313TORONTO Marlies2COLORADO Eagles3LSommaire du Match
36 - 2021-02-21324TUSCON Roadrunners5TORONTO Marlies1LSommaire du Match
38 - 2021-02-23340COLORADO Eagles4TORONTO Marlies3LXXSommaire du Match
39 - 2021-02-24349TORONTO Marlies2LEHIGH VALLEY Phantoms5LSommaire du Match
41 - 2021-02-26368BRIDGEPORT Sound Tigers3TORONTO Marlies1LSommaire du Match
42 - 2021-02-27376TORONTO Marlies5TUSCON Roadrunners3WSommaire du Match
44 - 2021-03-01392TORONTO Marlies1COLORADO Eagles3LSommaire du Match
45 - 2021-03-02402BROOKLYN Wolfpack2TORONTO Marlies1LSommaire du Match
47 - 2021-03-04417GRAND RAPIDS Griffins3TORONTO Marlies4WSommaire du Match
48 - 2021-03-05432TORONTO Marlies0BRIDGEPORT Sound Tigers1LSommaire du Match
50 - 2021-03-07445TORONTO Marlies5STOCKTON Flames3WSommaire du Match
51 - 2021-03-08452TORONTO Marlies8BELLEVILLE Senators3WR3Sommaire du Match
52 - 2021-03-09465PROVIDENCE Bruins2TORONTO Marlies1LSommaire du Match
54 - 2021-03-11480LAVAL Rocket4TORONTO Marlies0LSommaire du Match
55 - 2021-03-12496SYRACUSE Crunch7TORONTO Marlies3LSommaire du Match
56 - 2021-03-13508TORONTO Marlies0BRIDGEPORT Sound Tigers2LSommaire du Match
58 - 2021-03-15524BROOKLYN Wolfpack1TORONTO Marlies2WSommaire du Match
59 - 2021-03-16534TORONTO Marlies1GRAND RAPIDS Griffins3LSommaire du Match
61 - 2021-03-18549SCRANTON Penguins5TORONTO Marlies3LSommaire du Match
62 - 2021-03-19562TORONTO Marlies9CAROLINA Checkers0WSommaire du Match
64 - 2021-03-21573LEHIGH VALLEY Phantoms4TORONTO Marlies3LSommaire du Match
65 - 2021-03-22588TORONTO Marlies2IOWA Wild6LSommaire du Match
66 - 2021-03-23600ROCKFORD IceHogs6TORONTO Marlies9WSommaire du Match
67 - 2021-03-24612TORONTO Marlies1MILWAUKEE Admirals3LSommaire du Match
69 - 2021-03-26623TORONTO Marlies3LAVAL Rocket4LXSommaire du Match
70 - 2021-03-27636CHICAGO Wolves4TORONTO Marlies1LSommaire du Match
72 - 2021-03-29650TORONTO Marlies2PROVIDENCE Bruins4LSommaire du Match
73 - 2021-03-30659TORONTO Marlies10SAN DIEGO Gulls0WSommaire du Match
75 - 2021-04-01673SAN DIEGO Gulls2TORONTO Marlies6WSommaire du Match
77 - 2021-04-03691MILWAUKEE Admirals3TORONTO Marlies0LSommaire du Match
78 - 2021-04-04704TORONTO Marlies11SAN DIEGO Gulls2WSommaire du Match
80 - 2021-04-06716MILWAUKEE Admirals3TORONTO Marlies2LXSommaire du Match
81 - 2021-04-07732MANITOBA Moose3TORONTO Marlies2LXXSommaire du Match
82 - 2021-04-08740TORONTO Marlies1SCRANTON Penguins3LSommaire du Match
83 - 2021-04-09747TORONTO Marlies3HERSEY Bears4LXXSommaire du Match
85 - 2021-04-11765SAN DIEGO Gulls1TORONTO Marlies10WSommaire du Match
87 - 2021-04-13781TORONTO Marlies3PROVIDENCE Bruins4LSommaire du Match
88 - 2021-04-14792BRIDGEPORT Sound Tigers2TORONTO Marlies3WXXSommaire du Match
89 - 2021-04-15804TORONTO Marlies3TUSCON Roadrunners4LXXSommaire du Match
92 - 2021-04-18818ONTARIO Reign5TORONTO Marlies4LXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
94 - 2021-04-20837BAKERSFIELD Condors-TORONTO Marlies-
95 - 2021-04-21849TORONTO Marlies-SYRACUSE Crunch-
96 - 2021-04-22862PROVIDENCE Bruins-TORONTO Marlies-
98 - 2021-04-24880TORONTO Marlies-SAN ANTONIO Rampage-
99 - 2021-04-25886TORONTO Marlies-ONTARIO Reign-
100 - 2021-04-26897BINGHAMTON Devils-TORONTO Marlies-
102 - 2021-04-28914BELLEVILLE Senators-TORONTO Marlies-
103 - 2021-04-29924TORONTO Marlies-SAN ANTONIO Rampage-
105 - 2021-05-01940UTICA Comets-TORONTO Marlies-
106 - 2021-05-02954TORONTO Marlies-BAKERSFIELD Condors-
108 - 2021-05-04966BELLEVILLE Senators-TORONTO Marlies-
110 - 2021-05-06987TORONTO Marlies-UTICA Comets-
111 - 2021-05-07992HERSEY Bears-TORONTO Marlies-
112 - 2021-05-081000TORONTO Marlies-BINGHAMTON Devils-
113 - 2021-05-091012TORONTO Marlies-IOWA Wild-
115 - 2021-05-111023HERSEY Bears-TORONTO Marlies-
116 - 2021-05-121028TORONTO Marlies-BINGHAMTON Devils-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
8 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,563,493$ 2,047,500$ 1,980,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,563,493$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 25 17,352$ 433,800$




LigueDomicileVisiteur
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
3480273702842219258-394091801741105133-2840181901101114125-1176219367586226885609241978083579437291483855014782654918.49%2475478.14%21015248540.85%1116293937.97%474118939.87%180912932106559942452
3480273702842219258-394091801741105133-2840181901101114125-1176219367586226885609241978083579437291483855014782654918.49%2475478.14%21015248540.85%1116293937.97%474118939.87%180912932106559942452
3663173600514202226-24328190021298121-233191700302104105-145202299501239561451182460156864825290087932511681672213.17%1414270.21%0409150227.23%604271022.29%24897525.44%11538231990417674301
Total Saison Régulière22371110042198640742-1021122655021694308387-79111455502504332355-23197640103316736723123116519666221612238223699872825551425412469712017.22%63515076.38%42439647237.69%2836858833.02%1196335335.67%477334116202153725591207