Marlies

DG: Daniel Stankovic Morale : 1 Moyenne d'Équipe : 54
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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
1Manny MalhotraXX100.00797678705858615465353658508587030590
2Mark McNeill (R)XX100.00907878665967686480364165584444020590
3Tom KostopoulosX100.00597162605470676175383759507576072570
4Jordan SchroederXX100.00604168754952656260404059535758031560
5Matt FrattinXX100.00597462695669665773363458505960036550
6Blair JonesXXX100.00697964705962625770333755505960069550
7Ryan DzingelXXX100.00716567635354656160424159504646021550
8Chase BalisyXXX100.00606369665069655765323359504444035520
9Cole Ully (R)XX100.00646671645150605667323460504444021510
10Ben Johnson (R)X100.00676872625248565864303955564444036510
11Blake ColemanX100.00586960595348575867323857514444020500
12Greger HansonX100.00576659585150595359273152504444033480
13Shane BakkerX100.00547856635947565264253148504444022480
14Ryan MurphyX100.00724285856675807625463871506666081660
15Tyson StrachanX100.00608066726366695725313059506263020560
16Anthony DeAngelo (R)X100.00556461735561666725393154505555035550
17Calle Andersson (R)X100.00627969706358635625253363504944025530
18Jan Kostalek (R)X100.00596867665759645525262758504646028510
19Robert Hagg (R)X100.00587565666068695325242856504545027510
Rayé
1Joel RechliczX100.00568356555949595265272750504444020470
2Ryan CruthersX100.00453861546255414533323148406156020460
3Mike LiambasX100.00527055625350595259262845504444020460
4Dylan ReeseX100.00587565626057606425383459505454051540
5Ben Harpur (R)X100.00608266666359645325252759504747030510
6Justin Holl (R)XX100.00646670635153605657323159504444029510
MOYENNE D'ÉQUIPE100.0062696666575862575132335750525203353
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
1Jeff Lerg100.0062636366697568696868565555039650
2Mason McDonald (R)100.0059677276636962676762455050042630
Rayé
1Pat Nagle (R)100.0046505974514846485045465153019500
MOYENNE D'ÉQUIPE100.005660657261645961625849525303359
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe76778471606599CAN355100,000$


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 SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
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


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 Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantSalaire 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 Link
Anthony DeAngeloMarlies (TOR)D2124.10.1995Yes175 Lbs5 ft11NoNo10Contrat d'EntréeFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Ben HarpurMarlies (TOR)D2212.1.1995 15:44:24Yes214 Lbs6 ft6NoNo9Contrat d'EntréePro & Farm100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Ben JohnsonMarlies (TOR)LW227.6.1994Yes187 Lbs6 ft0NoNo9Contrat d'EntréeFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Blair JonesMarlies (TOR)C/LW/RW3027.9.1986No216 Lbs6 ft2NoNo1Sans RestrictionPro & Farm500,000$Lien
Blake ColemanMarlies (TOR)C2528.11.1991 15:45:20No198 Lbs5 ft10NoNo9Avec RestrictionPro & Farm100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Calle AnderssonMarlies (TOR)D2316.5.1994Yes216 Lbs6 ft2NoNo10Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Chase BalisyMarlies (TOR)C/LW/RW252.2.1992No170 Lbs5 ft11NoNo9Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Cole UllyMarlies (TOR)LW/RW2220.2.1995 15:46:38Yes181 Lbs5 ft11NoNo9Contrat d'EntréePro & Farm100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Dylan ReeseMarlies (TOR)D3229.8.1984No205 Lbs6 ft1NoNo1Sans RestrictionPro & Farm500,000$Lien
Greger HansonMarlies (TOR)LW2917.2.1988No185 Lbs5 ft10NoNo1Sans RestrictionPro & Farm1,100,000$Lien
Jan KostalekMarlies (TOR)D2216.2.1995Yes181 Lbs6 ft1NoNo10Contrat d'EntréeFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Jeff LergMarlies (TOR)G319.4.1986No163 Lbs5 ft6NoNo1Sans RestrictionPro & Farm500,000$Lien
Joel RechliczMarlies (TOR)RW2914.6.1987No220 Lbs6 ft4NoNo1Sans RestrictionPro & Farm1,100,000$Lien
Jordan SchroederMarlies (TOR)C/RW2629.9.1990No176 Lbs5 ft9NoNo1Avec RestrictionPro & Farm800,000$Lien
Justin HollMarlies (TOR)RW/D2530.1.1992Yes170 Lbs6 ft2NoNo10Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Manny MalhotraMarlies (TOR)C/LW3718.5.1980No207 Lbs6 ft2NoNo1Sans RestrictionPro & Farm700,000$Lien
Mark McNeillMarlies (TOR)C/RW2422.2.1993 3:35:38Yes214 Lbs6 ft2NoNo6Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$Lien
Mason McDonaldMarlies (TOR)G2123.4.1996 1:19:01Yes201 Lbs6 ft4NoNo10Contrat d'EntréeFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$
Matt FrattinMarlies (TOR)LW/RW293.1.1988 14:41:30No205 Lbs6 ft0NoNo1Sans RestrictionPro & Farm700,000$Lien
Mike LiambasMarlies (TOR)LW2816.2.1989No204 Lbs5 ft9NoNo1Sans RestrictionPro & Farm1,100,000$Lien
Pat NagleMarlies (TOR)G2921.9.1987Yes169 Lbs6 ft2NoNo1Sans RestrictionPro & Farm1,100,000$
Robert HaggMarlies (TOR)D228.2.1995Yes204 Lbs6 ft2NoNo9Contrat d'EntréeFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Ryan CruthersMarlies (TOR)C324.7.1984No175 Lbs6 ft0NoNo1Sans RestrictionPro & Farm1,100,000$
Ryan DzingelMarlies (TOR)C/LW/RW259.3.1992No188 Lbs6 ft0NoNo1Avec RestrictionPro & Farm1,200,000$Lien
Ryan MurphyMarlies (TOR)D2431.3.1993 2:48:17No185 Lbs5 ft11NoNo1Avec RestrictionPro & Farm1,200,000$Lien
Shane BakkerMarlies (TOR)C2911.11.1987No209 Lbs6 ft4NoNo1Sans RestrictionPro & Farm1,100,000$Lien
Tom KostopoulosMarlies (TOR)RW3824.1.1979No197 Lbs6 ft0NoNo1Sans RestrictionPro & Farm500,000$Lien
Tyson StrachanMarlies (TOR)D3230.10.1984No215 Lbs6 ft3NoNo1Sans RestrictionPro & Farm500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2826.93194 Lbs6 ft14.50532,143$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan DzingelMatt FrattinTom Kostopoulos40122
2Blair JonesMark McNeillManny Malhotra30122
3Manny MalhotraMark McNeillBlair Jones20122
4Blair JonesManny MalhotraBen Johnson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Robert HaggCalle Andersson40122
2Tyson StrachanAnthony DeAngelo30122
3Robert HaggTyson Strachan20122
4Ryan MurphyRobert Hagg10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Manny MalhotraRyan DzingelTom Kostopoulos60122
2Ben JohnsonMark McNeillBlair Jones40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyson StrachanAnthony DeAngelo60122
2Calle AnderssonRobert Hagg40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan DzingelManny Malhotra60122
2Blair JonesBen Johnson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyson StrachanAnthony DeAngelo60122
2Calle AnderssonRobert Hagg40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Blair Jones60122Calle AnderssonTyson Strachan60122
2Manny Malhotra40122Robert HaggAnthony DeAngelo40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ben JohnsonManny Malhotra60122
2Blair JonesRyan Dzingel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony DeAngeloRobert Hagg60122
2Tyson StrachanCalle Andersson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mark McNeillManny MalhotraRyan DzingelTyson StrachanAnthony DeAngelo
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mark McNeillManny MalhotraRyan DzingelTyson StrachanAnthony DeAngelo
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ben Johnson, Manny Malhotra, Blair JonesManny Malhotra, Blair JonesManny Malhotra
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Robert Hagg, Tyson Strachan, Anthony DeAngeloRobert HaggRobert Hagg, Tyson Strachan
Tirs de Pénalité
Mark McNeill, Blair Jones, Ryan Dzingel, Manny Malhotra, Ben Johnson
Gardien
#1 : Mason McDonald, #2 : Jeff Lerg


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
# VS Équipe 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 GF% SH% SV% PDO PDOBRK
Total0000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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
DateMatchup Result Detail



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
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
41 0 - 0.00%0$0$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,490,000$ 120,000$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
0$ 0$ 0$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




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