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Marlies
GP: 23 | W: 14 | L: 9
GF: 61 | GA: 50 | PP%: 10.88% | PK%: 87.50%
DG: Garrett | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Wild
16-4-0, 32pts
5
FINAL
1 Marlies
14-9-0, 28pts
Team Stats
W3StreakL3
8-1-0Home Record7-5-0
8-3-0Away Record7-4-0
8-0-2Last 10 Games6-3-1
3.70Buts par match 2.65
1.80Buts contre par match 2.17
18.35%Pourcentage en avantage numérique10.88%
92.86%Pourcentage en désavantage numérique87.50%
Marlies
14-9-0, 28pts
1
FINAL
2 Wild
16-4-0, 32pts
Team Stats
L3StreakW3
7-5-0Home Record8-1-0
7-4-0Away Record8-3-0
6-3-1Last 10 Games8-0-2
2.65Buts par match 3.70
2.17Buts contre par match 1.80
10.88%Pourcentage en avantage numérique18.35%
87.50%Pourcentage en désavantage numérique92.86%
Meneurs d'équipe
Ryan DzingelButs
Ryan Dzingel
10
Ryan DzingelPasses
Ryan Dzingel
13
Ryan DzingelPoints
Ryan Dzingel
23
Ryan DzingelPlus/Moins
Ryan Dzingel
11
Pheonix CopleyVictoires
Pheonix Copley
14
Calvin PickardPourcentage d’arrêts
Calvin Pickard
0.9

Statistiques d’équipe
Buts pour
61
2.65 GFG
Tirs pour
515
22.39 Avg
Pourcentage en avantage numérique
10.9%
16 GF
Début de zone offensive
39.9%
Buts contre
50
2.17 GAA
Tirs contre
469
20.39 Avg
Pourcentage en désavantage numérique
87.5%%
19 GA
Début de la zone défensive
39.5%
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 Mineure20
Limite contact 46 / 50
Espoirs45


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
1Brett HowdenXXX100.0078449180765770586868716825646471506602511,000,000$
2Jack McBain (R)X100.0098488277806741637360727825444472506502331,350,000$
3Ryan DzingelXX100.006794707872666364585970712566666950650313950,000$
4Cody Glass (R)XX100.0081449984725983726761555975535464506402411,713,333$
5Brandon PirriXXX100.006668626868575569805674677067686750630323950,000$
6Andy AndreoffXX100.007474747074636464805961695864646550630321750,000$
7Chris WagnerXXX100.007471827771737859504960695767696450630323950,000$
8Jack Studnicka (R)X100.007643918065636958766555682547476450620242863,333$
9Kyle CliffordX100.008599667781526854386156602577816250620322750,000$
10Steven LorentzX100.0075449573785882584557626725575865506202721,050,000$
11Simon Holmstrom (R)X100.008175956375636461506157675444446350600222863,333$
12Alex Vlasic (R)X100.0075449575776443552546497325454559506202231,491,667$
13Sean DayX100.008280866680717655255145664344445850620251750,000$
14Jacob Bernard-Docker (R)X100.0065428575706562582550476525454558506002331,208,333$
15Joseph CecconiX100.0079807763806368482541396337444453505802611,293,750$
16Jeremy Davies (R)X100.0069667668666568552551436041464655505802611,325,000$
17Brinson Pasichnuk (R)X100.007974916874596348254040633844445350580253750,000$
Rayé
1Justin DowlingXXX100.006541967065556056575959622557576250590321750,000$
2Liam O'BrienX100.009999346780556058455357642552526050590291750,000$
3Gabriel BourqueXX100.007372756372555557505356625344445950570321850,000$
4Spencer SmallmanX100.007272736372565756505354615144445850560263750,000$
5Keaton MiddletonX100.008191596191555847253840633844445150570251750,000$
6Brandon CrawleyX100.007074615174545844253139603755554850540261866,666$
MOYENNE D’ÉQUIPE100.00776779707461645747535565395353615061
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
1Pheonix Copley100.00645462826864686870676547476050640313850,000$
2Calvin Pickard100.00584455786460566362613058585950600311750,000$
Rayé
1Dylan Wells100.00444050754544454945454544444550480253750,000$
MOYENNE D’ÉQUIPE100.0055465678595656605958475050555057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Greg Moore62607173575488USA383500,000$


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
1Ryan DzingelMarlies (TOR)LW/RW2310132311180183965275215.38%1051822.562681611510181372054.93%7100000.8900000323
2Andy AndreoffMarlies (TOR)C/LW23910193140413052192817.31%537916.49347151100001112057.14%2100001.0000000221
3Cody GlassMarlies (TOR)C/RW2321214712025444313444.65%353423.24134121020111740056.12%9800000.5200000022
4Jack StudnickaMarlies (TOR)C2359143809514481911.36%239917.390113180111621065.15%30700000.7000000001
5Jack McBainMarlies (TOR)C2067131280574652143611.54%543421.700442010200021102157.32%56000000.6000000221
6Chris WagnerMarlies (TOR)C/LW/RW235813720025575413359.26%749021.34235201151017881051.42%42200000.5300000211
7Brandon PirriMarlies (TOR)C/LW/RW23471142209214218329.52%129112.661231069000021066.67%1200000.7600000001
8Sean DayMarlies (TOR)D23191045210551611649.09%2157725.1014581180000113000.00%000000.3500101011
9Simon HolmstromMarlies (TOR)RW2355104100122032102215.63%231913.89000017000002173.33%1500000.6300000112
10Jacob Bernard-DockerMarlies (TOR)D23437616031222651215.38%2151522.4331418970000110100.00%000000.2700000010
11Kyle CliffordMarlies (TOR)LW2324631753722297196.90%030613.3200017000000037.50%800000.3900100001
12Brett HowdenMarlies (TOR)C/LW/RW11325-50011720101915.00%316815.27314956000001044.44%1800000.6000000000
13Steven LorentzMarlies (TOR)C23055320913144110.00%41687.3200001000000046.15%13000000.5900000000
14Jeremy DaviesMarlies (TOR)D2305565004586610.00%2251222.270115960110101000.00%000000.2000000000
15Brinson PasichnukMarlies (TOR)D21235124022552040.00%731214.8600008000011010.00%000000.3200000101
16Alex VlasicMarlies (TOR)D1104441608103280.00%1326123.81011149000155000.00%000000.3100000000
17Joseph CecconiMarlies (TOR)D23033332039177460.00%1040717.70000431000044000.00%000000.1500000000
18Justin DowlingMarlies (TOR)C/LW/RW103032002471742.86%0737.3600001000001050.00%400000.8100000020
19Keaton MiddletonMarlies (TOR)D2000140800000.00%05025.230000500008000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne37461109170683451545344251216935511.91%136672017.9716314714211262352193214356.18%166600000.5100201111415
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
1Pheonix CopleyMarlies (TOR)2314540.8931.99144802484490100.00%0230201
2Calvin PickardMarlies (TOR)20000.9002.4050002200000.00%0023000
Statistiques d’équipe totales ou en moyenne2514540.8932.001498025046901002323201


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
Alex VlasicMarlies (TOR)D222001-06-05Yes198 Lbs6 ft6NoNoNo3Pro & Farm1,491,667$0$0$No1,491,667$1,491,667$Lien
Andy AndreoffMarlies (TOR)C/LW321991-05-17No203 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Brandon CrawleyMarlies (TOR)D261997-02-01No202 Lbs6 ft1NoNoNo1Pro & Farm866,666$0$0$NoLien
Brandon PirriMarlies (TOR)C/LW/RW321991-04-10No186 Lbs6 ft0NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$Lien / Lien NHL
Brett HowdenMarlies (TOR)C/LW/RW251998-03-28No200 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$0$0$NoLien / Lien NHL
Brinson PasichnukMarlies (TOR)D251997-11-23Yes205 Lbs6 ft0NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Calvin PickardMarlies (TOR)G311992-04-14No210 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Chris WagnerMarlies (TOR)C/LW/RW321991-05-26No198 Lbs6 ft0NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$Lien / Lien NHL
Cody GlassMarlies (TOR)C/RW241999-04-01Yes192 Lbs6 ft2NoNoNo1Pro & Farm1,713,333$0$0$NoLien / Lien NHL
Dylan WellsMarlies (TOR)G251998-01-03No190 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Gabriel BourqueMarlies (TOR)LW/RW321990-09-23No206 Lbs5 ft10NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Jack McBainMarlies (TOR)C232000-06-06Yes212 Lbs6 ft4NoNoNo3Pro & Farm1,350,000$0$0$No1,350,000$1,350,000$Lien
Jack StudnickaMarlies (TOR)C241999-02-18Yes171 Lbs6 ft1NoNoNo2Pro & Farm863,333$0$0$No863,333$Lien / Lien NHL
Jacob Bernard-DockerMarlies (TOR)D232000-06-30Yes190 Lbs6 ft0NoNoNo3Pro & Farm1,208,333$0$0$No1,208,333$1,208,333$Lien
Jeremy DaviesMarlies (TOR)D261996-12-04Yes180 Lbs5 ft11NoNoNo1Pro & Farm1,325,000$0$0$NoLien / Lien NHL
Joseph CecconiMarlies (TOR)D261997-05-23No215 Lbs6 ft3NoNoNo1Pro & Farm1,293,750$0$0$NoLien / Lien NHL
Justin DowlingMarlies (TOR)C/LW/RW321990-10-01No180 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Keaton MiddletonMarlies (TOR)D251998-02-10No240 Lbs6 ft6NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Kyle CliffordMarlies (TOR)LW321991-01-13No211 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Liam O'BrienMarlies (TOR)C291994-07-29No213 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Pheonix CopleyMarlies (TOR)G311992-01-18No198 Lbs6 ft4YesNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien / Lien NHL
Ryan DzingelMarlies (TOR)LW/RW311992-03-09No190 Lbs6 ft0NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$Lien / Lien NHL
Sean DayMarlies (TOR)D251998-01-09No218 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Simon HolmstromMarlies (TOR)RW222001-05-24Yes202 Lbs6 ft2NoNoNo2Pro & Farm863,333$0$0$No863,333$Lien / Lien NHL
Spencer SmallmanMarlies (TOR)RW261996-09-09No198 Lbs6 ft1NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Steven LorentzMarlies (TOR)C271996-04-13No206 Lbs6 ft4NoNoNo2Pro & Farm1,050,000$0$0$No1,050,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2627.23201 Lbs6 ft21.92964,439$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett HowdenJack McBainCody Glass40122
2Andy AndreoffChris WagnerRyan Dzingel30122
3Kyle CliffordJack StudnickaSimon Holmstrom20122
4Brandon PirriSteven LorentzCody Glass10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean Day40122
2Jacob Bernard-DockerJeremy Davies30122
3Joseph CecconiBrinson Pasichnuk20122
4Sean Day10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett HowdenJack McBainCody Glass60122
2Andy AndreoffChris WagnerRyan Dzingel40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean Day60122
2Jacob Bernard-DockerJeremy Davies40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainRyan Dzingel60122
2Cody GlassChris Wagner40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean Day60122
2Jacob Bernard-DockerJeremy Davies40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Dzingel60122Sean Day60122
2Jack McBain40122Jacob Bernard-DockerJeremy Davies40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainCody Glass60122
2Jack StudnickaBrett Howden40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean Day60122
2Jacob Bernard-DockerJeremy Davies40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan DzingelJack McBainCody GlassSean Day
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan DzingelJack McBainCody GlassSean Day
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cody Glass, Jack McBain, Jack StudnickaCody Glass, Jack McBainJack Studnicka
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joseph Cecconi, Jacob Bernard-Docker, Jeremy DaviesJoseph CecconiJacob Bernard-Docker, Jeremy Davies
Tirs de pénalité
Ryan Dzingel, Jack McBain, Cody Glass, Chris Wagner, Andy Andreoff
Gardien
#1 : Pheonix Copley, #2 : Calvin Pickard
Lignes d’attaque personnalisées en prolongation
Ryan Dzingel, Jack McBain, Cody Glass, Chris Wagner, Andy Andreoff, Brandon Pirri, Brandon Pirri, Brett Howden, Jack Studnicka, Steven Lorentz, Simon Holmstrom
Lignes de défense personnalisées en prolongation
Sean Day, , Jacob Bernard-Docker, Jeremy Davies, Joseph Cecconi


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
1Crunch44000000229132200000094522000000135881.00022386000192314591168151149479329678420525.00%28582.14%137168654.08%36867954.20%21035559.15%627436561183308155
2Monsters74300000151144310000011563120000046-280.57115254001192314515916815114947110311121514836.25%48491.67%037168654.08%36867954.20%21035559.15%627436561183308155
3Rocket64200000131303120000069-33300000074380.66713253800192314513516815114947117408012037410.81%35391.43%037168654.08%36867954.20%21035559.15%627436561183308155
4Wild624000001117-631200000812-43120000035-240.333112132011923145130168151149471493686994249.52%41782.93%137168654.08%36867954.20%21035559.15%627436561183308155
Total23149000006150111275000003430411740000027207280.60961109170021923145515168151149474691363454541471610.88%1521987.50%237168654.08%36867954.20%21035559.15%627436561183308155
_Since Last GM Reset23149000006150111275000003430411740000027207280.60961109170021923145515168151149474691363454541471610.88%1521987.50%237168654.08%36867954.20%21035559.15%627436561183308155
_Vs Conference171250000050331796300000261888620000024159240.7065088138011923145385168151149473201002593551051211.43%1111289.19%137168654.08%36867954.20%21035559.15%627436561183308155
_Vs Division101250000035221356300000151325620000020911241.200356398001923145226168151149472106914720457915.79%63887.30%137168654.08%36867954.20%21035559.15%627436561183308155

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2328L36110917051546913634545402
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2314900006150
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
127500003430
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
117400002720
Derniers 10 matchs
WLOTWOTL SOWSOL
234100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1471610.88%1521987.50%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
168151149471923145
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
37168654.08%36867954.20%21035559.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
627436561183308155


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 - 2023-03-221Crunch2Marlies3BWXSommaire du match
3 - 2023-03-249Crunch2Marlies6BWSommaire du match
5 - 2023-03-2617Marlies6Crunch3AWSommaire du match
7 - 2023-03-2825Marlies7Crunch2AWSommaire du match
15 - 2023-04-0557Monsters1Marlies4BWSommaire du match
17 - 2023-04-0761Monsters2Marlies1BLXSommaire du match
19 - 2023-04-0965Marlies0Monsters2ALSommaire du match
21 - 2023-04-1169Marlies2Monsters3ALXSommaire du match
23 - 2023-04-1373Monsters0Marlies3BWSommaire du match
25 - 2023-04-1577Marlies2Monsters1AWSommaire du match
27 - 2023-04-1781Monsters2Marlies3BWSommaire du match
29 - 2023-04-1985Rocket3Marlies2BLXSommaire du match
31 - 2023-04-2187Rocket5Marlies1BLSommaire du match
33 - 2023-04-2389Marlies2Rocket1AWXSommaire du match
35 - 2023-04-2591Marlies3Rocket2AWXSommaire du match
37 - 2023-04-2793Rocket1Marlies3BWSommaire du match
39 - 2023-04-2995Marlies2Rocket1AWSommaire du match
43 - 2023-05-0399Wild2Marlies3BWXSommaire du match
44 - 2023-05-04100Wild5Marlies4BLXSommaire du match
45 - 2023-05-05101Marlies1Wild0AWXSommaire du match
46 - 2023-05-06102Marlies1Wild3ALSommaire du match
47 - 2023-05-07103Wild5Marlies1BLSommaire du match
48 - 2023-05-08104Marlies1Wild2ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance24,00012,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 3000 - 100.00% 70,000$840,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,507,541$ 2,417,542$ 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

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