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Marlies
GP: 18 | W: 14 | L: 4 | OTL: 0 | P: 28
GF: 73 | GA: 35 | PP%: 22.50% | PK%: 87.80%
DG: Garrett | Morale : 50 | Moyenne d’équipe : 59
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Centre de jeu
Marlies
14-4-0, 28pts
5
FINAL
1 Bears
8-7-3, 19pts
Team Stats
W2StreakW1
6-3-0Home Record5-4-0
8-1-0Away Record3-3-3
8-2-0Last 10 Games4-5-1
4.06Buts par match 3.83
1.94Buts contre par match 2.67
22.50%Pourcentage en avantage numérique12.99%
87.80%Pourcentage en désavantage numérique86.00%
Marlies
14-4-0, 28pts
3
FINAL
0 Checkers
13-4-1, 27pts
Team Stats
W2StreakL1
6-3-0Home Record7-2-0
8-1-0Away Record6-2-1
8-2-0Last 10 Games8-2-0
4.06Buts par match 3.94
1.94Buts contre par match 1.94
22.50%Pourcentage en avantage numérique17.33%
87.80%Pourcentage en désavantage numérique84.42%
Meneurs d'équipe
Sheldon DriesButs
Sheldon Dries
11
Sheldon DriesPasses
Sheldon Dries
14
Sheldon DriesPoints
Sheldon Dries
25
Sheldon DriesPlus/Moins
Sheldon Dries
17
Victoires
Jesper Vikman
14
Pourcentage d’arrêts
Olivier Rodrigue
1

Statistiques d’équipe
Buts pour
73
4.06 GFG
Tirs pour
424
23.56 Avg
Pourcentage en avantage numérique
22.5%
18 GF
Début de zone offensive
38.8%
Buts contre
35
1.94 GAA
Tirs contre
328
18.22 Avg
Pourcentage en désavantage numérique
87.8%%
15 GA
Début de la zone défensive
38.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 50
Espoirs49


Historique d'équipe

Saison actuelle14-4-0 (28PTS)
Historique0-0-0
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
1Sheldon DriesX100.006864776464747668805971666758586850640301775,000$
2Jack StudnickaXX100.008144918065597065675057762557576450630253875,000$
3Chris WagnerXX100.008893807774486564755858692568716450630331950,000$
4Ethan Cardwell (R)X100.007369836469707262505663636044446450600223925,000$
5Martin Chromiak (R)X100.007368846068747858505358625544446150590222820,000$
6Ryan DzingelXXX100.007670896570454358734463696066666150590321950,000$
7Spencer SmallmanX100.007473776373697355504858625544446050580281750,000$
8Maxim Cajkovic (R)X100.007367875967515059505658625544446050560233925,000$
9Matvei Petrov (R)XX100.007167816067616452504456605344445750550213813,333$
10Adam RaskaX100.006063536763697547504346534445455150530232900,000$
11Ilya Nikolayev (R)X100.007670905970545649614547614544445450530233836,667$
12Jacob Bernard-DockerX100.0073538975706783622551488225565663506702411,208,333$
13John LudvigX100.008799627377586362254550802547476150650242775,000$
14Sean DayX100.008988906588707552254842694044445850630262750,000$
15Callan FooteX100.007877807477575953254641673960615550620251850,000$
16Keaton MiddletonX100.007787546587788747253642614044445350600261750,000$
17Jeremy DaviesX100.006666676566768157254851594846465850590273900,000$
18Brinson PasichnukX100.007974916874596348254040633844445350580261750,000$
19Joseph CecconiX100.007576716576657046253839603744445150570271750,000$
20Layton Ahac (R)X100.007672866572636844253339603744445150570232925,000$
Rayé
1Tanner Dickinson (R)X100.006757916057525252654257585444445650530223878,333$
2Zayde Wisdom (R)X100.007469856269596344553844594244445150520222896,667$
3Mike Benning (R)X100.006762806262677251254246574444445450560223925,000$
MOYENNE D’ÉQUIPE100.00757180667163685545465164444949585059
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)100.00594759726466586468663044446150600223858,000$
2Olivier Rodrigue100.00584961596259546159583044445750560242775,000$
Rayé
1Jiri Patera100.00525265805252505651513044445250540252775,000$
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
1Sheldon DriesMarlies (TOR)C18111425172044654165320.37%138521.42448136300031061068.27%49800001.3001000320
2Jacob Bernard-DockerMarlies (TOR)D1891221111006243442726.47%1339922.204482660011091200.00%000001.0500000013
3Chris WagnerMarlies (TOR)C/RW18613199175302344152613.64%330717.0734716440001500071.96%10700001.2411001021
4Martin ChromiakMarlies (TOR)RW18413171080142131193712.90%027615.37022239000080073.08%2600001.2300000022
5John LudvigMarlies (TOR)D1861016136410621633152418.18%935319.663362157112168200.00%000000.9000101130
6Ethan CardwellMarlies (TOR)RW18691514120121438112515.79%331017.242247620001401160.00%2500000.9700000002
7Liam O'BrienMarlies (TOR)LW/RW18871515300612345112517.78%133818.800337571011602055.00%4000010.8901000210
8Sean DayMarlies (TOR)D1811112112755513104910.00%1736520.32112955011081000.00%000000.6600001101
9Spencer SmallmanMarlies (TOR)RW18751211180231121101733.33%025013.90011218000000051.92%5200000.9600000201
10Ryan DzingelMarlies (TOR)C/LW/RW184711124013213352212.12%331517.510338520002621069.50%14100000.7000000110
11Maxim CajkovicMarlies (TOR)RW132810860911257178.00%016512.7700002000001055.00%6000001.2100000011
12Jeremy DaviesMarlies (TOR)D1827910120191175628.57%729616.500441130000492025.00%400000.6100000001
13Callan FooteMarlies (TOR)D151454801710112119.09%828619.09011944000048010.00%000000.3500000000
14Jack StudnickaMarlies (TOR)C/RW62351601114156613.33%111318.941122210001210065.00%10000000.8800000000
15Keaton MiddletonMarlies (TOR)D180559400571210060.00%1830516.99011314000252000.00%000000.3300000000
16Joseph CecconiMarlies (TOR)D111234181011430233.33%2958.720000100007100.00%000000.6300101100
17Brinson PasichnukMarlies (TOR)D11202416016754740.00%014212.9100000000010025.00%400000.2800000000
18Layton AhacMarlies (TOR)D8000220402000.00%0293.71000160000800100.00%100000.00%00000000
Statistiques d’équipe totales ou en moyenne280721302021653003042428142113432017.10%86473816.921834521276192351276213266.07%105800010.8513204111312
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)1814400.8911.96107302353200001.0003180001
2Olivier RodrigueMarlies (TOR)10001.0000.00%1800080000.00%0018000
Statistiques d’équipe totales ou en moyenne1914400.8931.931091023532800031818001


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$900,000$0$0$No900,000$Lien
Brinson PasichnukMarlies (TOR)D261997-11-23No205 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Callan FooteMarlies (TOR)D251998-12-13No209 Lbs6 ft3NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien
Chris WagnerMarlies (TOR)C/RW331991-05-26No198 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Ethan CardwellMarlies (TOR)RW222002-08-30Yes192 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Ilya NikolayevMarlies (TOR)C232001-06-26Yes190 Lbs6 ft0NoNoNo3Pro & Farm836,667$836,667$0$0$No836,667$836,667$Lien
Jack StudnickaMarlies (TOR)C/RW251999-02-18No172 Lbs6 ft1NoNoNo3Pro & Farm875,000$875,000$0$0$No875,000$875,000$Lien / Lien NHL
Jacob Bernard-DockerMarlies (TOR)D242000-06-30No189 Lbs6 ft1NoNoNo1Pro & Farm1,208,333$1,208,333$0$0$NoLien
Jeremy DaviesMarlies (TOR)D271996-12-04No181 Lbs5 ft11NoNoNo3Pro & Farm900,000$900,000$0$0$No900,000$900,000$Lien / Lien NHL
Jesper VikmanMarlies (TOR)G222002-03-11Yes179 Lbs6 ft3NoNoNo3Pro & Farm858,000$858,000$0$0$No858,000$858,000$Lien
Jiri PateraMarlies (TOR)G251999-02-24No209 Lbs6 ft2NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien
John LudvigMarlies (TOR)D242000-02-08No200 Lbs6 ft1NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien
Joseph CecconiMarlies (TOR)D271997-05-23No209 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Keaton MiddletonMarlies (TOR)D261998-02-10No234 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Layton AhacMarlies (TOR)D232001-02-22Yes190 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Martin ChromiakMarlies (TOR)RW222002-08-20Yes187 Lbs6 ft0NoNoNo2Pro & Farm820,000$820,000$0$0$No820,000$Lien
Matvei PetrovMarlies (TOR)LW/RW212003-03-12Yes179 Lbs6 ft2NoNoNo3Pro & Farm813,333$813,333$0$0$No813,333$813,333$Lien
Maxim CajkovicMarlies (TOR)RW232001-01-03Yes185 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Mike BenningMarlies (TOR)D222002-01-05Yes177 Lbs5 ft9NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Olivier RodrigueMarlies (TOR)G242000-07-06No156 Lbs6 ft1NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien
Ryan DzingelMarlies (TOR)C/LW/RW321992-03-09No190 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Sean DayMarlies (TOR)D261998-01-09No240 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Sheldon DriesMarlies (TOR)C301994-04-23No180 Lbs5 ft9NoNoNo1Pro & Farm775,000$775,000$0$0$NoLien / Lien NHL
Spencer SmallmanMarlies (TOR)RW281996-09-09No201 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Tanner DickinsonMarlies (TOR)C222002-03-05Yes150 Lbs5 ft11NoNoNo3Pro & Farm878,333$878,333$0$0$No878,333$878,333$Lien
Zayde WisdomMarlies (TOR)C222002-05-20Yes195 Lbs5 ft10NoNoNo2Pro & Farm896,667$896,667$0$0$No896,667$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.88191 Lbs6 ft02.00857,167$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam O'BrienSheldon DriesEthan Cardwell35023
2Ryan DzingelJack StudnickaMartin Chromiak30032
3Spencer SmallmanIlya NikolayevMaxim Cajkovic20032
4Matvei PetrovChris WagnerAdam Raska15032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerJohn Ludvig40122
2Callan FooteKeaton Middleton30122
3Jeremy DaviesSean Day20122
4John LudvigJacob Bernard-Docker10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam O'BrienSheldon DriesEthan Cardwell60014
2Ryan DzingelJack StudnickaChris Wagner40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerJohn Ludvig60023
2Sean DayCallan Foote40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sheldon DriesJack Studnicka60122
2Ryan DzingelChris Wagner40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerJohn Ludvig60122
2Sean DayKeaton Middleton40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sheldon Dries60122Jacob Bernard-DockerJohn Ludvig60122
2Jack Studnicka40122Sean DayKeaton Middleton40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sheldon DriesJack Studnicka60122
2Ryan DzingelMartin Chromiak40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerJohn Ludvig60122
2Sean DayKeaton Middleton40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack StudnickaSheldon DriesEthan CardwellJacob Bernard-DockerJohn Ludvig
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack StudnickaSheldon DriesRyan DzingelJacob Bernard-DockerJohn Ludvig
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ethan Cardwell, Ryan Dzingel, Martin ChromiakEthan Cardwell, Ryan DzingelEthan Cardwell
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Bernard-Docker, John Ludvig, Sean DayJeremy DaviesJohn Ludvig, Keaton Middleton
Tirs de pénalité
Sheldon Dries, Ryan Dzingel, Chris Wagner, Liam O'Brien, Ethan Cardwell
Gardien
#1 : Jesper Vikman, #2 : Olivier Rodrigue
Lignes d’attaque personnalisées en prolongation
Sheldon Dries, Ethan Cardwell, Jack Studnicka, Chris Wagner, Martin Chromiak, Ryan Dzingel, Ryan Dzingel, Matvei Petrov, Spencer Smallman, Maxim Cajkovic, Liam O'Brien
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
1Bears22000000826110000003121100000051441.000816240031211835614014513012301024497228.57%6183.33%031745669.52%26944860.04%15827158.30%524386351116216118
2Bruins20002000862100010004311000100043141.000813210031211836314014513012361620559555.56%10190.00%031745669.52%26944860.04%15827158.30%524386351116216118
3Checkers22000000624110000003211100000030341.000611170131211834514014513012371422381218.33%100100.00%031745669.52%26944860.04%15827158.30%524386351116216118
4Islanders22000000142121100000041311000000101941.0001427410031211836614014513012236204222100.00%10190.00%031745669.52%26944860.04%15827158.30%524386351116216118
5Penguins2200000015312110000008171100000072541.0001526410031211834914014513012459326412541.67%15286.67%231745669.52%26944860.04%15827158.30%524386351116216118
6Phantoms220000001257110000007521100000050541.0001222340131211834714014513012341043555120.00%19289.47%031745669.52%26944860.04%15827158.30%524386351116216118
7Rocket2020000036-31010000012-11010000024-200.00035800312118327140145130124264239800.00%20575.00%031745669.52%26944860.04%15827158.30%524386351116216118
8Wolf Pack211000003301010000012-11100000021120.5003690031211834014014513012337484514214.29%17194.12%031745669.52%26944860.04%15827158.30%524386351116216118
9Wolves2010001046-21010000014-31000001032120.500448003121183311401451301248849411100.00%16287.50%031745669.52%26944860.04%15827158.30%524386351116216118
Total18114020107335389530100032211196101010411427280.778731302030231211834241401451301232886300428801822.50%1231587.80%231745669.52%26944860.04%15827158.30%524386351116216118
_Since Last GM Reset18114020107335389530100032211196101010411427280.778731302030231211834241401451301232886300428801822.50%1231587.80%231745669.52%26944860.04%15827158.30%524386351116216118
_Vs Conference18114020107335389530100032211196101010411427280.778731302030231211834241401451301232886300428801822.50%1231587.80%231745669.52%26944860.04%15827158.30%524386351116216118
_Vs Division6020000017143301000008713010000097200.00017294601312118313514014513012115368413229620.69%40685.00%031745669.52%26944860.04%15827158.30%524386351116216118

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1828W2731302034243288630042802
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1811420107335
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
95310003221
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
96110104114
Derniers 10 matchs
WLOTWOTL SOWSOL
721000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
801822.50%1231587.80%2
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
140145130123121183
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
31745669.52%26944860.04%15827158.30%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
524386351116216118


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 - 2024-09-2311Penguins1Marlies8BWSommaire du match
2 - 2024-09-2423Marlies2Wolf Pack1AWSommaire du match
4 - 2024-09-2643Wolves4Marlies1BLSommaire du match
6 - 2024-09-2868Marlies4Bruins3AWXSommaire du match
7 - 2024-09-2979Wolf Pack2Marlies1BLSommaire du match
9 - 2024-10-0196Marlies5Phantoms0AWSommaire du match
10 - 2024-10-02111Islanders1Marlies4BWSommaire du match
11 - 2024-10-03123Marlies3Wolves2AWXXSommaire du match
12 - 2024-10-04144Checkers2Marlies3BWSommaire du match
13 - 2024-10-05155Marlies7Penguins2AWSommaire du match
14 - 2024-10-06175Rocket2Marlies1BLSommaire du match
16 - 2024-10-08194Marlies10Islanders1AWSommaire du match
17 - 2024-10-09208Bears1Marlies3BWSommaire du match
19 - 2024-10-11228Bruins3Marlies4BWXSommaire du match
22 - 2024-10-14257Phantoms5Marlies7BWSommaire du match
23 - 2024-10-15264Marlies2Rocket4ALSommaire du match
24 - 2024-10-16270Marlies5Bears1AWSommaire du match
25 - 2024-10-17287Marlies3Checkers0AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,306,133$ 2,306,133$ 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$ 1 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

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

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

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

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