Marlies de Toronto

GP: 6 | W: 1 | L: 5 | OTL: 0 | P: 2
GF: 15 | GA: 57 | PP%: 25.00% | PK%: 0.00%
DG: Benoit Paulin | Morale : 98 | Moyenne d'Équipe : 62
Prochain matchs #90 vs MILWAUKEE Admirals
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 SP
1Adam Erne0X100.008444686880767867686864636655517599690
2Nail Yakupov0X100.006742787168767567306566607064578898670
3Henrik Borgstrom (R)0X100.005735757081698769736463586552518199670
4Brett Ritchie0X100.008350646390746662556263606360537098660
5Nick Ebert0X100.005135746771464749303332564958417998500
Rayé
1Cole Cassels0XX100.005546626066568656675854605450504493600
2Nikita Scherbak0X100.005535716379565463505757525751507893580
3T.J. Tynan0X100.004635757655485260445753555762516393570
4Joe Morrow0X100.006647736474755464306258676656526993630
5Ryan Murphy0X100.005135686769505167304742525257528193550
6Julius Bergman0X100.005489705878445058304540505050504393520
MOYENNE D'ÉQUIPE100.00614571667461646246565458595651709560
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
1Garret Sparks100.00827189848180828180817553684795710
2Jon Gillies100.00716988977070717070706651616398650
Rayé
MOYENNE D'ÉQUIPE100.0077708991767577767576715265559768
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Eric Veilleux68686868707078CAN48275,000$


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 RitchieMarlies de Toronto (TOR)RW612012-4003093762432.43%3712120.1910121000001050.00%400011.9800000000
Stats d'équipe Total ou en Moyenne612012-4003093762432.43%3712120.1910121000001050.00%400011.9800000000
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'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 ErneMarlies de Toronto (TOR)LW241995-04-20No97 Kg185 CMNoNoNo1Pro & Farm1,800,000$1,670,270$1,800,000$1,670,270$0$0$NoLien
Brett RitchieMarlies de Toronto (TOR)RW261993-07-01No100 Kg193 CMNoNoNo3Pro & Farm1,750,000$1,623,873$1,750,000$1,623,873$0$0$No1,750,000$1,750,000$Lien
Cole CasselsMarlies de Toronto (TOR)C/RW241995-05-04No82 Kg183 CMNoNoNo0Pro & Farm0$0$NoLien
Garret SparksMarlies de Toronto (TOR)G261993-06-28No91 Kg191 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Henrik BorgstromMarlies de Toronto (TOR)C221997-08-06Yes86 Kg191 CMNoNoNo2Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$Lien
Joe MorrowMarlies de Toronto (TOR)D261992-12-09No89 Kg183 CMNoNoNo0Pro & Farm0$0$NoLien
Jon GilliesMarlies de Toronto (TOR)G251994-01-22No101 Kg198 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Julius BergmanMarlies de Toronto (TOR)D231995-11-02No93 Kg185 CMNoNoNo0Pro & Farm0$0$NoLien
Nail YakupovMarlies de Toronto (TOR)RW251993-10-06No89 Kg180 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Nick EbertMarlies de Toronto (TOR)D251994-05-11No93 Kg183 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$No
Nikita ScherbakMarlies de Toronto (TOR)RW231995-12-30No87 Kg188 CMNoNoNo0Pro & Farm0$0$NoLien
Ryan MurphyMarlies de Toronto (TOR)D261993-03-31No82 Kg180 CMNoNoNo0Pro & Farm0$0$NoLien
T.J. TynanMarlies de Toronto (TOR)C271992-02-25No75 Kg173 CMNoNoNo0Pro & Farm0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1324.7790 Kg185 CM0.77561,538$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brett Ritchie31122
226122
3Brett Ritchie23122
420122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
131122
226122
323122
420122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brett Ritchie55122
245122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brett Ritchie55122
245122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brett Ritchie5512255122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brett Ritchie55122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brett Ritchie
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brett Ritchie
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
Brett Ritchie, , , ,
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
Brett Ritchie, , , , , , , , , ,
Lignes de Défense Perso. en Prol.
, , , ,


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
1CHICAGO Wolves1100000010551100000010550000000000021.0001016260067206337442704612030000.00%000.00%0167122.54%2516215.43%1811615.52%4931253365719
2MILWAUKEE Admirals1010000008-8000000000001010000008-800.00000000672063744270842505000.00%000.00%0167122.54%2516215.43%1811615.52%4931253365719
3Manitoba Moose10100000210-80000000000010100000210-800.0002460067201837442709632021000.00%000.00%0167122.54%2516215.43%1811615.52%4931253365719
4PROVIDENCE Bruins10100000011-110000000000010100000011-1100.000000006720237442708130012000.00%000.00%0167122.54%2516215.43%1811615.52%4931253365719
5ROCKFORD IceHogs10100000210-810100000210-80000000000000.000246006720113744270601409100.00%000.00%0167122.54%2516215.43%1811615.52%4931253365719
6TUSCON Roadrunners10100000113-1210100000113-120000000000000.000123006720837442709833083133.33%000.00%0167122.54%2516215.43%1811615.52%4931253365719
Total615000001557-42312000001328-1530300000229-2720.16715264100672010837442704651460854125.00%000.00%0167122.54%2516215.43%1811615.52%4931253365719
_Since Last GM Reset615000001557-42312000001328-1530300000229-2720.16715264100672010837442704651460854125.00%000.00%0167122.54%2516215.43%1811615.52%4931253365719
_Vs Conference514000001347-34312000001328-1520200000019-1920.2001322350067209037442703691140644125.00%000.00%0167122.54%2516215.43%1811615.52%4931253365719
_Vs Division10200000113-1210100000113-120010000000000.000123006720837442709833083133.33%000.00%0167122.54%2516215.43%1811615.52%4931253365719

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
62L215264110846514608500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
61500001557
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001328
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3030000229
Derniers 10 Matchs
WLOTWOTL SOWSOL
150000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4125.00%000.00%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
37442706720
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
167122.54%2516215.43%1811615.52%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
4931253365719


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 - 2020-01-153ROCKFORD IceHogs10Marlies de Toronto2LSommaire du Match
2 - 2020-01-1621Marlies de Toronto2Manitoba Moose10LSommaire du Match
3 - 2020-01-1730Marlies de Toronto0PROVIDENCE Bruins11LSommaire du Match
4 - 2020-01-1844CHICAGO Wolves5Marlies de Toronto10WSommaire du Match
5 - 2020-01-1963TUSCON Roadrunners13Marlies de Toronto1LSommaire du Match
7 - 2020-01-2172Marlies de Toronto0MILWAUKEE Admirals8LSommaire du Match
9 - 2020-01-2390MILWAUKEE Admirals-Marlies de Toronto-
11 - 2020-01-25101PROVIDENCE Bruins-Marlies de Toronto-
13 - 2020-01-27112Marlies de Toronto-PROVIDENCE Bruins-
15 - 2020-01-29124Marlies de Toronto-TUSCON Roadrunners-
17 - 2020-01-31141Marlies de Toronto-LAVAL Rockets-
18 - 2020-02-01143Marlies de Toronto-HERSEY Bears-
20 - 2020-02-03155COLORADO Eagles-Marlies de Toronto-
21 - 2020-02-04170Marlies de Toronto-BRIDGEPORT Sound Tigers-
23 - 2020-02-06182SAN DIEGO Gulls-Marlies de Toronto-
24 - 2020-02-07194Marlies de Toronto-SAN DIEGO Gulls-
25 - 2020-02-08207CHICAGO Wolves-Marlies de Toronto-
27 - 2020-02-10222BELLEVILLE Senators-Marlies de Toronto-
28 - 2020-02-11234Marlies de Toronto-PROVIDENCE Bruins-
29 - 2020-02-12247ROCKFORD IceHogs-Marlies de Toronto-
31 - 2020-02-14262Marlies de Toronto-BRIDGEPORT Sound Tigers-
32 - 2020-02-15274Marlies de Toronto-COLORADO Eagles-
33 - 2020-02-16285SAN DIEGO Gulls-Marlies de Toronto-
34 - 2020-02-17296Marlies de Toronto-IOWA Wild-
35 - 2020-02-18311IOWA Wild-Marlies de Toronto-
37 - 2020-02-20329UTICA Comets-Marlies de Toronto-
38 - 2020-02-21341Marlies de Toronto-BELLEVILLE Senators-
39 - 2020-02-22352COLORADO Eagles-Marlies de Toronto-
41 - 2020-02-24371PROVIDENCE Bruins-Marlies de Toronto-
42 - 2020-02-25376Marlies de Toronto-VICTORIAVILLE Tigres-
44 - 2020-02-27396Marlies de Toronto-HERSEY Bears-
45 - 2020-02-28408PV Sharapovas-Marlies de Toronto-
46 - 2020-02-29421Marlies de Toronto-Binghampton Devils-
47 - 2020-03-01434BROOKLYN Wolfpack-Marlies de Toronto-
49 - 2020-03-03449Binghampton Devils-Marlies de Toronto-
50 - 2020-03-04464Marlies de Toronto-HOLLYWOOD Oscar-
51 - 2020-03-05472Marlies de Toronto-BROOKLYN Wolfpack-
52 - 2020-03-06485BROOKLYN Wolfpack-Marlies de Toronto-
54 - 2020-03-08498Marlies de Toronto-Syracruse Crunch-
55 - 2020-03-09511CORNWALL Aces-Marlies de Toronto-
57 - 2020-03-11527LEHIGH VALLEY Phantoms-Marlies de Toronto-
59 - 2020-03-13541Marlies de Toronto-MILWAUKEE Admirals-
60 - 2020-03-14556Manitoba Moose-Marlies de Toronto-
61 - 2020-03-15572Marlies de Toronto-MONT-LAURIER Sommet-
62 - 2020-03-16581LAVAL Rockets-Marlies de Toronto-
63 - 2020-03-17596Marlies de Toronto-STOCKTON Flames-
64 - 2020-03-18604ROCKFORD IceHogs-Marlies de Toronto-
66 - 2020-03-20622Marlies de Toronto-WILKIES-BARRIE Penguins-
67 - 2020-03-21632CHICAGO Wolves-Marlies de Toronto-
68 - 2020-03-22649LEHIGH VALLEY Phantoms-Marlies de Toronto-
69 - 2020-03-23656Marlies de Toronto-CHICAGO Wolves-
70 - 2020-03-24667Marlies de Toronto-CORNWALL Aces-
71 - 2020-03-25681Marlies de Toronto-BROOKLYN Wolfpack-
72 - 2020-03-26694MILWAUKEE Admirals-Marlies de Toronto-
74 - 2020-03-28709IOWA Wild-Marlies de Toronto-
75 - 2020-03-29727Marlies de Toronto-LAVAL Rockets-
76 - 2020-03-30738HOLLYWOOD Oscar-Marlies de Toronto-
78 - 2020-04-01756WILKIES-BARRIE Penguins-Marlies de Toronto-
79 - 2020-04-02766Marlies de Toronto-CHICAGO Wolves-
80 - 2020-04-03783TUSCON Roadrunners-Marlies de Toronto-
81 - 2020-04-04794Marlies de Toronto-HOLLYWOOD Oscar-
83 - 2020-04-06809VICTORIAVILLE Tigres-Marlies de Toronto-
84 - 2020-04-07820Marlies de Toronto-UTICA Comets-
85 - 2020-04-08834HERSEY Bears-Marlies de Toronto-
86 - 2020-04-09842Marlies de Toronto-SAN DIEGO Gulls-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11858Marlies de Toronto-Manitoba Moose-
89 - 2020-04-12869Syracruse Crunch-Marlies de Toronto-
90 - 2020-04-13887Marlies de Toronto-COLORADO Eagles-
91 - 2020-04-14896LAVAL Rockets-Marlies de Toronto-
92 - 2020-04-15902Marlies de Toronto-LEHIGH VALLEY Phantoms-
93 - 2020-04-16919BRIDGEPORT Sound Tigers-Marlies de Toronto-
95 - 2020-04-18940STOCKTON Flames-Marlies de Toronto-
96 - 2020-04-19955Marlies de Toronto-PV Sharapovas-
97 - 2020-04-20958Marlies de Toronto-TUSCON Roadrunners-
98 - 2020-04-21975HERSEY Bears-Marlies de Toronto-
100 - 2020-04-23991UTICA Comets-Marlies de Toronto-
102 - 2020-04-251011Marlies de Toronto-UTICA Comets-
104 - 2020-04-271018BRIDGEPORT Sound Tigers-Marlies de Toronto-
105 - 2020-04-281027Marlies de Toronto-Manitoba Moose-
106 - 2020-04-291035Marlies de Toronto-ROCKFORD IceHogs-
109 - 2020-05-021052MONT-LAURIER Sommet-Marlies de Toronto-
110 - 2020-05-031063Marlies de Toronto-ROCKFORD IceHogs-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
58,016$ 730,000$ 730,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 52,616$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 103 7,252$ 746,956$




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
33615000001557-42312000001328-1530300000229-27215264100672010837442704651460854125.00%000.00%0167122.54%2516215.43%1811615.52%4931253365719
Total Saison Régulière615000001557-42312000001328-1530300000229-27215264100672010837442704651460854125.00%000.00%0167122.54%2516215.43%1811615.52%4931253365719