Marlies

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Sebastien Cloutier | Morale : 50 | Moyenne d'Équipe : 56
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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
1Tage ThompsonX100.00775563677873747050646468555050183640
2Stefan MatteauX100.00645558748078706150606060555050122600
3Brett SterlingX100.00595567686159755750565759557475118580
4Austen BrassardX100.00675567607767665550555556557267128570
5Kyle FlanaganX100.00655566626561755750565755555050169560
6Mark MacMillanX100.00665562636561755550555556555050169560
7Quentin ShoreX100.00565563676866605550555555555050169560
8Andrew MillerX100.00565555555859595550555555557575166550
9Brandon BolligX100.00565555555758595550555555557573166550
10Max ReinhartX100.00805569555466695550555555555050166550
11Ryan GarbuttX100.00555555555555555550555555556667165540
12Ryan PennyX100.00765569555454645550555555555050166540
13John McCarthyX100.00565555555556555550555555555555151530
14Tom SestitoX100.00565555555555555550555555556061149530
15Oliver KylingtonX100.00555557605757635725575757555353130550
16Dylan LabbeX100.00555555605555585525555555555353169540
17David ShieldsX100.00555555605555585525555555555353169540
18Keaton ThompsonX100.00565555605555595525555555555353169540
19Seth HelgesonX100.00555555605555665525555555555353169540
20Matt LashoffX100.00555555605555575525555555555555168540
Rayé
1Miro AaltonenX100.00565555555555555550555555555050120520
2Sean MaloneX100.00555555555555555550555555555050120520
3Ryan HamiltonX100.00565555555555555550555555555050120520
MOYENNE D'ÉQUIPE100.0060555960605962564356565655565615355
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
1Chad Johnson100.0080837671817180727876557976161740
2Troy Grosenick100.0079787773737371717070556565169700
Rayé
MOYENNE D'ÉQUIPE100.008081777277727672747355727116572
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Cunneyworth61625466744756CAN583100,000$


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 GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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 Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Andrew MillerMarlies (Tor)RW281988-09-17No181 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No
Austen BrassardMarlies (Tor)RW241993-01-13No188 Lbs6 ft2NoNoNo0Avec RestrictionPro & Farm0$0$No
Brandon BolligMarlies (Tor)LW291987-01-30No223 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No
Brett SterlingMarlies (Tor)LW321984-04-23No175 Lbs5 ft7NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No
Chad JohnsonMarlies (Tor)G301986-06-10No193 Lbs6 ft3NoNoNo0Sans RestrictionPro & Farm0$0$No
David ShieldsMarlies (Tor)D251991-01-27No204 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Dylan LabbeMarlies (Tor)D221995-01-09No194 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm500,000$0$0$No
John McCarthyMarlies (Tor)C301986-08-09No194 Lbs6 ft1NoNoNo0Sans RestrictionPro & Farm0$0$No
Keaton ThompsonMarlies (Tor)D211995-09-13No182 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Kyle FlanaganMarlies (Tor)C281988-12-30No181 Lbs5 ft9NoNoNo2Sans RestrictionPro & Farm300,000$0$0$No
Mark MacMillanMarlies (Tor)LW241992-01-23No172 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Matt LashoffMarlies (Tor)D301986-09-28No207 Lbs6 ft2NoNoNo0Sans RestrictionPro & Farm0$0$No
Max ReinhartMarlies (Tor)C241992-02-03No190 Lbs6 ft1NoNoNo0Avec RestrictionPro & Farm0$0$No
Miro AaltonenMarlies (Tor)C231993-06-07No176 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Oliver KylingtonMarlies (Tor)D191997-05-19No181 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Quentin ShoreMarlies (Tor)C221994-05-25No183 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Ryan GarbuttMarlies (Tor)C311985-08-11No195 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Ryan HamiltonMarlies (Tor)LW311985-04-14No219 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Ryan PennyMarlies (Tor)LW221994-09-09No192 Lbs6 ft0NoNoNo0Contrat d'EntréePro & Farm0$0$No
Sean MaloneMarlies (Tor)C211995-04-30No196 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Seth HelgesonMarlies (Tor)D261990-10-07No215 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Stefan MatteauMarlies (Tor)LW221994-02-22No220 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Tage ThompsonMarlies (Tor)RW191997-10-30No201 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Tom SestitoMarlies (Tor)LW291987-09-27No228 Lbs6 ft5NoNoNo0Sans RestrictionPro & Farm0$0$No
Troy GrosenickMarlies (Tor)G271989-08-26No185 Lbs6 ft1NoNoNo0Avec RestrictionPro & Farm0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2525.56195 Lbs6 ft11.36268,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000.00%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
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien



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
38 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 67,000$ 37,900$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 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