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Marlies
GP: 16 | W: 10 | L: 6
GF: 46 | GA: 36 | PP%: 16.88% | PK%: 92.17%
DG: Garrett | Morale : 50 | Moyenne d’équipe : 58
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Centre de jeu
Marlies
10-6-0, 20pts
0
FINAL
3 Rocket
15-7-0, 30pts
Team Stats
L3StreakL3
5-3-0Home Record7-4-0
5-3-0Away Record8-3-0
5-5-0Last 10 Games6-4-0
2.88Buts par match 3.14
2.25Buts contre par match 1.77
16.88%Pourcentage en avantage numérique14.79%
92.17%Pourcentage en désavantage numérique90.68%
Rocket
15-7-0, 30pts
4
FINAL
1 Marlies
10-6-0, 20pts
Team Stats
L3StreakL3
7-4-0Home Record5-3-0
8-3-0Away Record5-3-0
6-4-0Last 10 Games5-5-0
3.14Buts par match 2.88
1.77Buts contre par match 2.25
14.79%Pourcentage en avantage numérique16.88%
90.68%Pourcentage en désavantage numérique92.17%
Meneurs d'équipe
Buts
Ethan Cardwell
9
Passes
Martin Chromiak
9
Points
Ethan Cardwell
15
Ryan DzingelPlus/Moins
Ryan Dzingel
7
Victoires
Jesper Vikman
10
Pourcentage d’arrêts
Olivier Rodrigue
0.909

Statistiques d’équipe
Buts pour
46
2.88 GFG
Tirs pour
391
24.44 Avg
Pourcentage en avantage numérique
16.9%
13 GF
Début de zone offensive
43.5%
Buts contre
36
2.25 GAA
Tirs contre
294
18.38 Avg
Pourcentage en désavantage numérique
92.2%%
9 GA
Début de la zone défensive
37.9%
Informations de l'équipe

Directeur généralGarrett
EntraîneurGreg Moore
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison0


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 51
Espoirs50


Historique d'équipe

Saison actuelle10-6
Historique108-44-10 (0.667%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)20-11
Coupe Stanley0


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
1Jack StudnickaXX100.008144918065597065675057762557576450630263875,000$
2Austin WatsonXX100.009199337882487164255657675372726250630331900,000$
3Chris WagnerXX100.008893807774486564755858692568716450630341950,000$
4Ethan Cardwell (R)X100.007369836469707262505663636044446450600223925,000$
5William LockwoodX100.008691826965516064455455692547476150590261842,500$
6Martin Chromiak (R)X100.007368846068747858505358625544446150590222820,000$
7Ryan DzingelXXX100.007670896570454358734463696066666150590331950,000$
8Spencer SmallmanX100.007473776373697355504858625544446050580281750,000$
9Jacob Bernard-DockerX100.0073538975706783622551488225565663506702411,208,333$
10John LudvigX100.008799627377586362254550802547476150650252775,000$
11Sean DayX100.008988906588707552254842694044445850630272750,000$
12Callan FooteX100.007877807477575953254641673960615550620261850,000$
13Jeremy DaviesX100.006666676566768157254851594846465850590283900,000$
14Brinson PasichnukX100.007974916874596348254040633844445350580271750,000$
15Joseph CecconiX100.007576716576657046253839603744445150570281750,000$
16Layton Ahac (R)X100.007672866572636844253339603744445150570242925,000$
17Mike Benning (R)X100.006762806262677251254246574444445450560233925,000$
Rayé
1Maxim Cajkovic (R)X100.007367875967515059505658625544446050560243925,000$
2Matvei Petrov (R)XX100.007167816067616452504456605344445750550223813,333$
3Adam RaskaX100.006063536763697547504346534445455150530232900,000$
4Tanner Dickinson (R)X100.006757916057525252654257585444445650530233878,333$
5Ilya Nikolayev (R)X100.007670905970545649614547614544445450530233836,667$
6Zayde Wisdom (R)X100.007469856269596344553844594244445150520232896,667$
MOYENNE D’ÉQUIPE100.00767279677061665543475165434950585059
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
1Jesper Vikman (R)100.00594759726466586468663044446150600233858,000$
2Olivier Rodrigue100.00584961596259546159583044445750560242775,000$
Rayé
1Jiri Patera100.00525265805252505651513044445250540262775,000$
MOYENNE D’ÉQUIPE100.0056496270595954605958304444575057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Greg Moore62607173575488USA381500,000$


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
1Ethan CardwellMarlies (TOR)RW1696156140172757213415.79%231619.8103313590002521131.58%1900010.9500000210
2Martin ChromiakMarlies (TOR)RW163912312024112462712.50%329018.18257559000001052.94%1700000.8300000102
3Ryan DzingelMarlies (TOR)C/LW/RW1657127100183134122414.71%131419.632247490000480063.97%27200000.7600000212
4Jack StudnickaMarlies (TOR)C/RW1647113206314516278.89%532020.031348600002750062.92%8900000.6900000011
5William LockwoodMarlies (TOR)RW165611-1155222041152912.20%027317.070001190000121042.11%3800000.8100010112
6Chris WagnerMarlies (TOR)C/RW1655101115154126121319.23%534621.683147561012851059.91%46900000.5800100020
7Jacob Bernard-DockerMarlies (TOR)D16279-3409122310208.70%1435722.35235176301109800100.00%100000.5000000100
8Spencer SmallmanMarlies (TOR)RW1654906015232892217.86%126216.43000213000023053.95%21500000.6800000100
9Callan FooteMarlies (TOR)D1626841801812163712.50%1431719.85202953000076000.00%000000.5000000010
10Brinson PasichnukMarlies (TOR)D1607732351783140.00%424215.18000070000490025.00%800000.5800100001
11Austin WatsonMarlies (TOR)LW/RW16167147561142915233.45%133020.660334530115670042.86%2100000.4200010000
12John LudvigMarlies (TOR)D16246-4375641024548.33%1233320.851231661000180100.00%000000.3600100002
13Jeremy DaviesMarlies (TOR)D16325610023390433.33%921013.1701114000040200.00%000000.4700000110
14Sean DayMarlies (TOR)D160444280228137100.00%1432420.31011957000080000.00%000000.2500000000
15Joseph CecconiMarlies (TOR)D16022120021811690.00%625816.1300000000010025.00%800000.1600000000
16Layton AhacMarlies (TOR)D1602201401246050.00%81147.140000000000000.00%000000.3500000000
17Mike BenningMarlies (TOR)D16011-240322000.00%0734.610001120000170020.00%500000.2700000000
Statistiques d’équipe totales ou en moyenne2724685131292752536726539113826211.76%99468917.241324371006331231279010157.92%116200010.56003209810
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
1Jesper VikmanMarlies (TOR)1610600.8762.2692920352830000.00%0160010
2Olivier RodrigueMarlies (TOR)20000.9091.1154001110000.00%0016000
Statistiques d’équipe totales ou en moyenne1810600.8782.20984203629400001616010


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 restantPlafond salarial 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 10Link
Adam RaskaMarlies (TOR)RW232001-09-25No178 Lbs5 ft10NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Austin WatsonMarlies (TOR)LW/RW331992-01-12No205 Lbs6 ft4NoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Brinson PasichnukMarlies (TOR)D271997-11-23No205 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien
Callan FooteMarlies (TOR)D261998-12-13No209 Lbs6 ft3NoNoNo1Pro & Farm850,000$0$0$NoLien
Chris WagnerMarlies (TOR)C/RW341991-05-26No198 Lbs6 ft0NoNoNo1Pro & Farm950,000$0$0$NoLien / Lien NHL
Ethan CardwellMarlies (TOR)RW222002-08-30Yes192 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Ilya NikolayevMarlies (TOR)C232001-06-26Yes190 Lbs6 ft0NoNoNo3Pro & Farm836,667$0$0$No836,667$836,667$Lien
Jack StudnickaMarlies (TOR)C/RW261999-02-18No172 Lbs6 ft1NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Lien / Lien NHL
Jacob Bernard-DockerMarlies (TOR)D242000-06-30No189 Lbs6 ft1NoNoNo1Pro & Farm1,208,333$0$0$NoLien
Jeremy DaviesMarlies (TOR)D281996-12-04No181 Lbs5 ft11NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien / Lien NHL
Jesper VikmanMarlies (TOR)G232002-03-11Yes179 Lbs6 ft3NoNoNo3Pro & Farm858,000$0$0$No858,000$858,000$Lien
Jiri PateraMarlies (TOR)G261999-02-24No209 Lbs6 ft2NoNoNo2Pro & Farm775,000$0$0$No775,000$Lien
John LudvigMarlies (TOR)D252000-02-08No200 Lbs6 ft1NoNoNo2Pro & Farm775,000$0$0$No775,000$Lien
Joseph CecconiMarlies (TOR)D281997-05-23No209 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Layton AhacMarlies (TOR)D242001-02-22Yes190 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Martin ChromiakMarlies (TOR)RW222002-08-20Yes187 Lbs6 ft0NoNoNo2Pro & Farm820,000$0$0$No820,000$Lien
Matvei PetrovMarlies (TOR)LW/RW222003-03-12Yes179 Lbs6 ft2NoNoNo3Pro & Farm813,333$0$0$No813,333$813,333$Lien
Maxim CajkovicMarlies (TOR)RW242001-01-03Yes185 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Mike BenningMarlies (TOR)D232002-01-05Yes177 Lbs5 ft9NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Olivier RodrigueMarlies (TOR)G242000-07-06No156 Lbs6 ft1NoNoNo2Pro & Farm775,000$0$0$No775,000$Lien
Ryan DzingelMarlies (TOR)C/LW/RW331992-03-09No190 Lbs6 ft0NoNoNo1Pro & Farm950,000$0$0$NoLien / Lien NHL
Sean DayMarlies (TOR)D271998-01-09No240 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Spencer SmallmanMarlies (TOR)RW281996-09-09No201 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Tanner DickinsonMarlies (TOR)C232002-03-05Yes150 Lbs5 ft11NoNoNo3Pro & Farm878,333$0$0$No878,333$878,333$Lien
William LockwoodMarlies (TOR)RW261998-06-20No172 Lbs5 ft11NoNoNo1Pro & Farm842,500$0$0$NoLien
Zayde WisdomMarlies (TOR)C232002-05-20Yes195 Lbs5 ft10NoNoNo2Pro & Farm896,667$0$0$No896,667$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.65190 Lbs6 ft12.00865,532$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Austin WatsonChris WagnerJack Studnicka40122
2Martin ChromiakRyan DzingelEthan Cardwell30122
3Joseph CecconiSpencer SmallmanWilliam Lockwood20122
4Austin WatsonChris WagnerMartin Chromiak10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerJohn Ludvig40122
2Sean DayCallan Foote30122
3Jeremy DaviesBrinson Pasichnuk20122
4Joseph CecconiLayton Ahac10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Austin WatsonChris WagnerJack Studnicka60122
2Martin ChromiakRyan DzingelEthan Cardwell40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerJohn Ludvig60122
2Sean DayCallan Foote40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris WagnerAustin Watson60122
2Jack StudnickaEthan Cardwell40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerJohn Ludvig60122
2Sean DayCallan Foote40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chris Wagner60122Jacob Bernard-DockerJohn Ludvig60122
2Austin Watson40122Sean DayCallan Foote40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris WagnerAustin Watson60122
2Jack StudnickaEthan Cardwell40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerJohn Ludvig60122
2Sean DayCallan Foote40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Austin WatsonChris WagnerJack StudnickaJacob Bernard-DockerJohn Ludvig
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Austin WatsonChris WagnerJack StudnickaJacob Bernard-DockerJohn Ludvig
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
William Lockwood, Spencer Smallman, Ryan DzingelWilliam Lockwood, Spencer SmallmanRyan Dzingel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Benning, Jeremy Davies, Brinson PasichnukMike BenningJeremy Davies, Brinson Pasichnuk
Tirs de pénalité
Chris Wagner, Austin Watson, Jack Studnicka, Ethan Cardwell, Ryan Dzingel
Gardien
#1 : Jesper Vikman, #2 : Olivier Rodrigue
Lignes d’attaque personnalisées en prolongation
Chris Wagner, Austin Watson, Jack Studnicka, Ethan Cardwell, Ryan Dzingel, William Lockwood, William Lockwood, Martin Chromiak, Spencer Smallman, ,
Lignes de défense personnalisées en prolongation
Jacob Bernard-Docker, John Ludvig, Sean Day, Callan Foote, Jeremy Davies


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
1Checkers642000001215-33210000069-33210000066080.66712223400218161141146117110181154510616333618.18%44490.91%030450560.20%24444055.45%12521757.60%436302344119202105
2Rocket624000001115-43120000068-23120000057-240.33311203100218161105146117110181173511311035514.29%42392.86%130450560.20%24444055.45%12521757.60%436302344119202105
3Wolves440000002361722000000112922000000124881.0002343660021816114514611711018621958949222.22%29293.10%030450560.20%24444055.45%12521757.60%436302344119202105
Total161060000046361085300000231948530000023176200.6254685131002181613911461171101829499277367771316.88%115992.17%130450560.20%24444055.45%12521757.60%436302344119202105
_Since Last GM Reset161060000046361085300000231948530000023176200.6254685131002181613911461171101829499277367771316.88%115992.17%130450560.20%24444055.45%12521757.60%436302344119202105
_Vs Conference161060000046361085300000231948530000023176200.6254685131002181613911461171101829499277367771316.88%115992.17%130450560.20%24444055.45%12521757.60%436302344119202105
_Vs Division1224000002330-7612000001217-5612000001113-240.167234265002181612461461171101823280219273681116.18%86791.86%130450560.20%24444055.45%12521757.60%436302344119202105

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1620L346851313912949927736700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1610600004636
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
85300002319
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
85300002317
Derniers 10 matchs
WLOTWOTL SOWSOL
451000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
771316.88%115992.17%1
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
14611711018218161
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
30450560.20%24444055.45%12521757.60%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
436302344119202105


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
1 - 2024-10-183Marlies4Wolves2AWSommaire du match
3 - 2024-10-2011Marlies8Wolves2AWSommaire du match
5 - 2024-10-2219Wolves1Marlies5BWSommaire du match
7 - 2024-10-2427Wolves1Marlies6BWSommaire du match
15 - 2024-11-0158Marlies2Checkers1AWSommaire du match
17 - 2024-11-0362Marlies1Checkers4ALSommaire du match
19 - 2024-11-0566Checkers5Marlies0BLSommaire du match
21 - 2024-11-0770Checkers3Marlies4BWSommaire du match
23 - 2024-11-0974Marlies3Checkers1AWSommaire du match
25 - 2024-11-1178Checkers1Marlies2BWXSommaire du match
29 - 2024-11-1585Marlies5Rocket2AWSommaire du match
31 - 2024-11-1787Marlies0Rocket2ALSommaire du match
33 - 2024-11-1989Rocket3Marlies5BWSommaire du match
35 - 2024-11-2191Rocket1Marlies0BLSommaire du match
37 - 2024-11-2393Marlies0Rocket3ALSommaire du match
39 - 2024-11-2595Rocket4Marlies1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance16,0008,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 3000 - 100.00% 70,000$560,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,250,383$ 2,250,383$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Marlies Leaders statistiques (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
1Sheldon Dries14486961821085310431250916.90%28311921.6619325110056113013265.3131.1727
2Chris Wagner14975831589715120421140818.38%19274418.4221234483336139469.4451.1525
3Jack Studnicka1546292154817211530741714.87%25285018.51102131574152712064.6631.0825
4Jacob Bernard-Docker131199811711212518110118510.27%102277521.191024341230101022266.6700.8400
5Martin Chromiak154447111577748314933713.06%6237515.43413172900028256.6700.9711

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
1Jesper Vikman82552600.8772.17474021517113950100.90010
2Joel Hofer51361010.8861.782867412857460000.7147
3Jiri Patera2517710.8642.18140745513760100.50012
4Olivier Rodrigue90100.9062.03266009960000.00%0

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
Saison régulière
202372501701022330140190362670100217270102362410000201587088108330578908017141969091971669640651301141320104615813186520.44%4216085.75%101246199962.33%1023165661.78%721111964.43%216516081327448847472
20248245270703032517814741231303020161867541221404010164927211032558190601511810988112189694740730351472449129617263827519.63%5476288.67%111460229463.64%1202207357.98%739120261.48%234717171638533961524
Total Saison régulière1549544080526553183377749200402233315617777462404030322162160218655115918140322592051782041601363138013816526137692342330770014020.00%96812287.40%212706429363.03%2225372959.67%1460232162.90%4513332529669821809997
Séries éliminatoires
2021151050000058451386200000341816743000002427-3205898156102418142415145140125531090177308912021.98%761086.84%126244459.01%19534856.03%13322758.59%40329633410317991
2024161060000046361085300000231948530000023176204685131002181613911461171101829499277367771316.88%115992.17%130450560.20%24444055.45%12521757.60%436302344119202105
Total Séries éliminatoires31201100000104812316115000005737201596000004744340104183287104526303806291257235236041894546751683319.64%1911990.05%256694959.64%43978855.71%25844458.11%840599678223382197

Marlies Leaders statistiques (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
1Jack Studnicka3171421-269526710.45%756118.123581100041156.3200.7500
2Gabriel Bourque15315185103514329.38%325817.2319101300001028.5701.3900
3Adam Mascherin151171831011206118.03%126917.984592500010050.0001.3300
4Jeremy Davies31612187303992227.27%1849115.8616780110210.00%00.7300
5Barrett Hayton15881641423314119.51%129819.922571500001057.3511.0700

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
1Jesper Vikman1610600.8762.2692920352830000.00%0
2Calvin Pickard159410.8542.9485600422870010.00%0
3Dylan Wells21000.9092.0060002220000.00%0
4Olivier Rodrigue20000.9091.1154001110000.00%0