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Marlies
GP: 82 | W: 68 | L: 12 | OTL: 2 | P: 138
GF: 436 | GA: 131 | PP%: 20.81% | PK%: 88.65%
DG: Garrett | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Monsters
64-15-3, 131pts
1
FINAL
4 Marlies
68-12-2, 138pts
Team Stats
OTW1StreakL1
31-8-2Home Record35-4-2
33-7-1Away Record33-8-0
6-3-1Last 10 Games9-1-0
4.62Buts par match 5.32
2.05Buts contre par match 1.60
19.02%Pourcentage en avantage numérique20.81%
89.37%Pourcentage en désavantage numérique88.65%
Senators
40-36-6, 86pts
5
FINAL
4 Marlies
68-12-2, 138pts
Team Stats
W3StreakL1
20-17-4Home Record35-4-2
20-19-2Away Record33-8-0
5-3-2Last 10 Games9-1-0
4.12Buts par match 5.32
3.84Buts contre par match 1.60
20.90%Pourcentage en avantage numérique20.81%
76.34%Pourcentage en désavantage numérique88.65%
Meneurs d'équipe
Brandon PirriButs
Brandon Pirri
57
Brandon PirriPasses
Brandon Pirri
73
Brandon PirriPoints
Brandon Pirri
130
Brandon PirriPlus/Moins
Brandon Pirri
114
Pheonix CopleyVictoires
Pheonix Copley
66
Pheonix CopleyPourcentage d’arrêts
Pheonix Copley
0.895

Statistiques d’équipe
Buts pour
436
5.32 GFG
Tirs pour
2449
29.87 Avg
Pourcentage en avantage numérique
20.8%
72 GF
Début de zone offensive
42.2%
Buts contre
131
1.60 GAA
Tirs contre
1206
14.71 Avg
Pourcentage en désavantage numérique
88.6%%
47 GA
Début de la zone défensive
33.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,930
Billets de saison0


Informations de la formation

Équipe Pro25
Équipe Mineure21
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$
2Ryan DzingelXX100.006794707872666364585970712566666950650313950,000$
3Cody Glass (R)XX100.0081449984725983726761555975535464506402411,713,333$
4Brandon PirriXXX100.006668626868575569805674677067686750630323950,000$
5Andy AndreoffXX100.007474747074636464805961695864646550630321750,000$
6Chris WagnerXXX100.007471827771737859504960695767696450630323950,000$
7Jack Studnicka (R)X100.007643918065636958766555682547476450620242863,333$
8Kyle CliffordX100.008599667781526854386156602577816250620322750,000$
9Steven LorentzX100.0075449573785882584557626725575865506202721,050,000$
10Simon Holmstrom (R)X100.008175956375636461506157675444446350600222863,333$
11Alex Vlasic (R)X100.0075449575776443552546497325454559506202231,491,667$
12Sean DayX100.008280866680717655255145664344445850620251750,000$
13Jacob Bernard-Docker (R)X100.0065428575706562582550476525454558506002231,208,333$
14Joseph CecconiX100.0079807763806368482541396337444453505802611,293,750$
15Jeremy Davies (R)X100.0069667668666568552551436041464655505802611,325,000$
16Brinson Pasichnuk (R)X100.007974916874596348254040633844445350580253750,000$
Rayé
1Justin DowlingXXX100.006541967065556056575959622557576250590321750,000$
2Liam O'BrienX100.009999346780556058455357642552526050590281750,000$
3Gabriel BourqueXX100.007372756372555557505356625344445950570321850,000$
4Spencer SmallmanX100.007272736372565756505354615144445850560263750,000$
5Keaton MiddletonX100.008191596191555847253840633844445150570251750,000$
6Brandon CrawleyX100.007074615174545844253139603755554850540261866,666$
MOYENNE D’ÉQUIPE100.00766879707460655746535465405354605060
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
1Brandon PirriMarlies (TOR)C/LW/RW82577313011452099522628420821.76%4136216.619112047256000083178.82%8500051.910000013710
2Ryan DzingelMarlies (TOR)LW/RW8257661231017125631703218319717.76%14175421.39618244925613493446264.76%66400041.4012113897
3Jack McBainMarlies (TOR)C815762119849602191463138720918.21%21160619.83101626562643032932610068.87%128500041.48020008613
4Chris WagnerMarlies (TOR)C/LW/RW8246651111135001001432495814018.47%10162819.856162238254213162149164.36%120100011.36000001165
5Cody GlassMarlies (TOR)C/RW82336910296140531071614212120.50%2163719.97215171525812362236169.21%30200001.2512000765
6Andy AndreoffMarlies (TOR)C/LW8236589475411581532115011517.06%7101812.4291726462510003396276.47%5100011.8500120395
7Jack StudnickaMarlies (TOR)C8224467054260371421796111413.41%19134816.4423595301181784070.23%100100011.0400000711
8Alex VlasicMarlies (TOR)D8218516995420933691424919.78%60177921.707916392580111321200.00%000000.7800000131
9Steven LorentzMarlies (TOR)C829536296220674270184812.86%29125315.2800001000001065.08%18900000.9900000243
10Brett HowdenMarlies (TOR)C/LW/RW4915445952120234894206915.96%681416.613475580004773070.69%17400001.4500000333
11Simon HolmstromMarlies (TOR)RW822433575037535601424011216.90%10113513.85213523000008263.93%6100001.0000001321
12Jacob Bernard-DockerMarlies (TOR)D82745528540073457120529.86%47172421.035813412450110313400.00%000000.6000000013
13Kyle CliffordMarlies (TOR)LW81221739461121014262120327618.33%1115414.250000170002474167.92%5300000.6800002102
14Sean DayMarlies (TOR)D828273598143151492743113018.60%37180722.05459202740002289000.00%000000.3900011012
15Jeremy DaviesMarlies (TOR)D53219216264010117308206.67%32109720.72123111500110186100.00%000000.3800000010
16Justin DowlingMarlies (TOR)C/LW/RW3341115140031218111622.22%21765.3600000000000066.67%1200001.7000000100
17Joseph CecconiMarlies (TOR)D702121456117151361413132115.38%26117516.790000510001124010.00%000000.2400201002
18Liam O'BrienMarlies (TOR)C37628424034101931131.58%12085.632022210000210055.65%11500000.7700000010
19Brinson PasichnukMarlies (TOR)D71231910014320050.00%410715.390000100002000.00%000000.5600000010
Statistiques d’équipe totales ou en moyenne13134287551183131497385152211892409683160817.77%3322279017.3668125193383270071017812722671167.38%5193000161.0426448686163
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)80661220.8951.53474722412111530210.6676802021
2Calvin PickardMarlies (TOR)42000.8841.81166005430000.00%0257000
Statistiques d’équipe totales ou en moyenne84681220.8951.544914224126119602168259021


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 StudnickaMarlies (TOR)C241999-02-18Yes171 Lbs6 ft1NoNoNo2Pro & Farm863,333$0$0$No863,333$Lien / Lien NHL
Jacob Bernard-DockerMarlies (TOR)D222000-06-30Yes190 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)C281994-07-29No213 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$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2527.32200 Lbs6 ft21.88949,017$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett HowdenJack McBainCody Glass40122
2Ryan DzingelChris WagnerBrandon Pirri30122
3Kyle CliffordJack StudnickaSimon Holmstrom20122
4Andy AndreoffSteven LorentzCody Glass10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean DayAlex Vlasic40122
2Jacob Bernard-DockerJeremy Davies30122
3Joseph CecconiSteven Lorentz20122
4Sean DayAlex Vlasic10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan DzingelJack McBainCody Glass60122
2Andy AndreoffChris WagnerBrandon Pirri40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean DayAlex Vlasic60122
2Jacob Bernard-DockerJeremy Davies40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan DzingelJack McBain60122
2Cody GlassChris Wagner40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean DayAlex Vlasic60122
2Jacob Bernard-DockerJeremy Davies40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Dzingel60122Sean DayAlex Vlasic60122
2Jack McBain40122Jacob Bernard-DockerJeremy Davies40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan DzingelJack McBain60122
2Cody GlassChris Wagner40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean DayAlex Vlasic60122
2Jacob Bernard-DockerJeremy Davies40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan DzingelJack McBainCody GlassSean DayAlex Vlasic
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan DzingelJack McBainCody GlassSean DayAlex Vlasic
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cody Glass, Brett Howden, Jack StudnickaCody Glass, Brett HowdenJack 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, Kyle Clifford, Jack Studnicka, Steven Lorentz, Simon Holmstrom
Lignes de défense personnalisées en prolongation
Sean Day, Alex Vlasic, 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
1 Americans220000001611511000000615110000001001041.0001631470117714211268177681085019268203710660.00%90100.00%11505219468.60%1121174164.39%880126969.35%258319601413490938535
2Admirals330000002141722000000122101100000092761.00021396001177142112612977681085019324305510220.00%14285.71%01505219468.60%1121174164.39%880126969.35%258319601413490938535
3Barracudas3300000030228220000002002011000000102861.0003052820217714211261437768108501924103065800.00%15193.33%11505219468.60%1121174164.39%880126969.35%258319601413490938535
4Bears22000000200201100000010010110000001001041.0002038580217714211261127768108501924714456350.00%70100.00%01505219468.60%1121174164.39%880126969.35%258319601413490938535
5Bruins2200000013310110000007251100000061541.0001324370017714211265777681085019391237355360.00%15286.67%11505219468.60%1121174164.39%880126969.35%258319601413490938535
6Canucks44000000195142200000010282200000093681.00019355401177142112667776810850196321506126726.92%24195.83%01505219468.60%1121174164.39%880126969.35%258319601413490938535
7Checkers3110100079-2110000003122010100048-440.6677132000177142112676776810850194818506811218.18%20480.00%01505219468.60%1121174164.39%880126969.35%258319601413490938535
8Comets431000002161522000000122102110000094560.750214061011771421126119776810850196216387224729.17%19289.47%11505219468.60%1121174164.39%880126969.35%258319601413490938535
9Condors21100000321110000002021010000012-120.5003580117714211262177681085019394304014214.29%15286.67%01505219468.60%1121174164.39%880126969.35%258319601413490938535
10Crunch4300010024101421000100642220000001861270.87524436701177142112697776810850196316537320630.00%24579.17%01505219468.60%1121174164.39%880126969.35%258319601413490938535
11Eagles210000101321110000010211110000001111041.0001323360017714211266977681085019266143210330.00%7185.71%01505219468.60%1121174164.39%880126969.35%258319601413490938535
12Firebirds22000000817110000005141100000030341.000815230117714211264977681085019201222413133.33%10190.00%11505219468.60%1121174164.39%880126969.35%258319601413490938535
13Griffins41300000810-22020000036-32110000054120.250812200017714211267677681085019742751772328.70%18383.33%01505219468.60%1121174164.39%880126969.35%258319601413490938535
14Gulls2020000015-41010000002-21010000013-200.000123001771421126637768108501927114340600.00%13284.62%01505219468.60%1121174164.39%880126969.35%258319601413490938535
15Heat32100000862110000004222110000044040.667814221017714211266877681085019421154582015.00%11190.91%01505219468.60%1121174164.39%880126969.35%258319601413490938535
16IceHogs21100000954110000006151010000034-120.50091625001771421126617768108501924320415120.00%10280.00%01505219468.60%1121174164.39%880126969.35%258319601413490938535
17Monsters4210000112102210000016422110000066050.62512203200177142112675776810850197015737921314.29%27388.89%01505219468.60%1121174164.39%880126969.35%258319601413490938535
18Moose21001000945100010004311100000051441.00091524001771421126517768108501932420406116.67%10190.00%01505219468.60%1121174164.39%880126969.35%258319601413490938535
19Penguins220000001459110000007431100000071641.0001425390017714211267577681085019381318417228.57%9188.89%01505219468.60%1121174164.39%880126969.35%258319601413490938535
20Phantoms2200000015312110000008261100000071641.0001526410017714211264477681085019289323211218.18%11190.91%01505219468.60%1121174164.39%880126969.35%258319601413490938535
21Rampage 220000001811711000000110111100000071641.000183250011771421126957768108501918116402150.00%30100.00%01505219468.60%1121174164.39%880126969.35%258319601413490938535
22Reign22000000844110000003031100000054141.00081523011771421126487768108501938112640800.00%13284.62%01505219468.60%1121174164.39%880126969.35%258319601413490938535
23Roadrunners330000002402411000000707220000001701761.00024436703177142112613877681085019241035478112.50%100100.00%11505219468.60%1121174164.39%880126969.35%258319601413490938535
24Rocket430010001385210010007522200000063381.00013233600177142112678776810850198324428618211.11%19289.47%11505219468.60%1121174164.39%880126969.35%258319601413490938535
25Senators4310000025131221100000136722000000127560.750254166001771421126118776810850197727445423626.09%22386.36%01505219468.60%1121174164.39%880126969.35%258319601413490938535
26Sound Tigers220000001301311000000303110000001001041.000132336021771421126687768108501918818314250.00%80100.00%01505219468.60%1121174164.39%880126969.35%258319601413490938535
27Stars2200000016016110000007071100000090941.00016264202177142112692776810850191542047100.00%90100.00%01505219468.60%1121174164.39%880126969.35%258319601413490938535
28Thunderbirds21001000523100010003211100000020241.00059140117714211265677681085019451012411000.00%50100.00%01505219468.60%1121174164.39%880126969.35%258319601413490938535
29Wild3300000015782200000013671100000021161.00015264100177142112670776810850194615457413323.08%20480.00%01505219468.60%1121174164.39%880126969.35%258319601413490938535
30Wolf Pack220000001801811000000808110000001001041.00018345202177142112610577681085019152144111100.00%70100.00%01505219468.60%1121174164.39%880126969.35%258319601413490938535
31Wolves220000001037110000006061100000043141.0001018280117714211264877681085019268224012216.67%10190.00%01505219468.60%1121174164.39%880126969.35%258319601413490938535
Total826312041114361313054131403111214591554132801000222721501380.84143677812141241771421126244977681085019120635798315733467220.81%4144788.65%71505219468.60%1121174164.39%880126969.35%258319601413490938535
_Since Last GM Reset826312041114361313054131403111214591554132801000222721501380.84143677812141241771421126244977681085019120635798315733467220.81%4144788.65%71505219468.60%1121174164.39%880126969.35%258319601413490938535
_Vs Conference4533703101227841432215302101106406623184010001214477740.82222740663301017714211261223776810850197472255468362104822.86%2352788.51%31505219468.60%1121174164.39%880126969.35%258319601413490938535
_Vs Division221960110110447571183011014526191111300000592138420.955104183287031771421126563776810850194071242594031092522.94%1121586.61%31505219468.60%1121174164.39%880126969.35%258319601413490938535

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82138L14367781214244912063579831573124
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8263124111436131
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41314311121459
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41328100022272
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3467220.81%4144788.65%7
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
776810850191771421126
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
1505219468.60%1121174164.39%880126969.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
258319601413490938535


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
2 - 2023-03-2317Senators1Marlies9BWSommaire du match
4 - 2023-03-2532Marlies1Comets3ALSommaire du match
5 - 2023-03-2644Marlies3Rocket2AWSommaire du match
7 - 2023-03-2858Wild3Marlies7BWSommaire du match
9 - 2023-03-3076Admirals2Marlies7BWSommaire du match
12 - 2023-04-0299Barracudas0Marlies10BWSommaire du match
13 - 2023-04-03109Marlies4Canucks1AWSommaire du match
15 - 2023-04-05121Marlies1Griffins2ALSommaire du match
17 - 2023-04-07137Marlies1Heat3ALSommaire du match
19 - 2023-04-09155Crunch4Marlies3BLXSommaire du match
21 - 2023-04-11176Griffins2Marlies1BLSommaire du match
23 - 2023-04-13194Comets2Marlies4BWSommaire du match
24 - 2023-04-14205Marlies3Monsters4ALSommaire du match
27 - 2023-04-17228Marlies11Roadrunners0AWSommaire du match
28 - 2023-04-18237Rocket4Marlies5BWXSommaire du match
31 - 2023-04-21252Marlies2Checkers7ALSommaire du match
33 - 2023-04-23271Bears0Marlies10BWSommaire du match
36 - 2023-04-26293Comets0Marlies8BWSommaire du match
38 - 2023-04-28316Marlies7Phantoms1AWSommaire du match
39 - 2023-04-29324Wolf Pack0Marlies8BWSommaire du match
43 - 2023-05-03355Checkers1Marlies3BWSommaire du match
45 - 2023-05-05368Marlies5Moose1AWSommaire du match
47 - 2023-05-07385Admirals0Marlies5BWSommaire du match
49 - 2023-05-09400Marlies10Wolf Pack0AWSommaire du match
51 - 2023-05-11414Marlies10Barracudas2AWSommaire du match
52 - 2023-05-12424IceHogs1Marlies6BWSommaire du match
54 - 2023-05-14444Marlies11Eagles1AWSommaire du match
56 - 2023-05-16457Gulls2Marlies0BLSommaire du match
58 - 2023-05-18478Marlies4Wolves3AWSommaire du match
60 - 2023-05-20489 Americans1Marlies6BWSommaire du match
63 - 2023-05-23513Wild3Marlies6BWSommaire du match
65 - 2023-05-25531Marlies5Reign4AWSommaire du match
67 - 2023-05-27545Barracudas0Marlies10BWSommaire du match
69 - 2023-05-29567Marlies3Firebirds0AWSommaire du match
71 - 2023-05-31579Marlies4Griffins2AWSommaire du match
72 - 2023-06-01586Penguins4Marlies7BWSommaire du match
75 - 2023-06-04610Crunch0Marlies3BWSommaire du match
77 - 2023-06-06628Marlies10Sound Tigers0AWSommaire du match
78 - 2023-06-07641Griffins4Marlies2BLSommaire du match
80 - 2023-06-09661Marlies3IceHogs4ALSommaire du match
82 - 2023-06-11674Thunderbirds2Marlies3BWXSommaire du match
84 - 2023-06-13691Marlies1Condors2ALSommaire du match
86 - 2023-06-15707Eagles1Marlies2BWXXSommaire du match
90 - 2023-06-19737Wolves0Marlies6BWSommaire du match
91 - 2023-06-20746Marlies8Comets1AWSommaire du match
95 - 2023-06-24769Roadrunners0Marlies7BWSommaire du match
97 - 2023-06-26789Marlies7Penguins1AWSommaire du match
99 - 2023-06-28801Sound Tigers0Marlies3BWSommaire du match
101 - 2023-06-30815Marlies2Thunderbirds0AWSommaire du match
103 - 2023-07-02831Marlies2Checkers1AWXSommaire du match
104 - 2023-07-03838Reign0Marlies3BWSommaire du match
107 - 2023-07-06865Marlies10 Americans0AWSommaire du match
108 - 2023-07-07871Moose3Marlies4BWXSommaire du match
110 - 2023-07-09891Marlies1Gulls3ALSommaire du match
111 - 2023-07-10902Rocket1Marlies2BWSommaire du match
114 - 2023-07-13921Marlies6Senators3AWSommaire du match
115 - 2023-07-14931Condors0Marlies2BWSommaire du match
118 - 2023-07-17956Marlies9Stars0AWSommaire du match
119 - 2023-07-18960Marlies6Bruins1AWSommaire du match
120 - 2023-07-19971Phantoms2Marlies8BWSommaire du match
123 - 2023-07-22994Monsters3Marlies2BLXXSommaire du match
125 - 2023-07-241009Marlies6Senators4AWSommaire du match
127 - 2023-07-261025Marlies6Roadrunners0AWSommaire du match
128 - 2023-07-271032Marlies7Rampage 1AWSommaire du match
129 - 2023-07-281040Bruins2Marlies7BWSommaire du match
131 - 2023-07-301059Marlies9Admirals2AWSommaire du match
133 - 2023-08-011072Firebirds1Marlies5BWSommaire du match
136 - 2023-08-041095Rampage 0Marlies11BWSommaire du match
137 - 2023-08-051102Marlies10Bears0AWSommaire du match
140 - 2023-08-081127Marlies3Heat1AWSommaire du match
141 - 2023-08-091136Heat2Marlies4BWSommaire du match
143 - 2023-08-111157Marlies11Crunch3AWSommaire du match
144 - 2023-08-121165Marlies2Wild1AWSommaire du match
145 - 2023-08-131175Stars0Marlies7BWSommaire du match
148 - 2023-08-161196Canucks2Marlies5BWSommaire du match
150 - 2023-08-181216Marlies3Monsters2AWSommaire du match
152 - 2023-08-201226Marlies7Crunch3AWSommaire du match
153 - 2023-08-211234Canucks0Marlies5BWSommaire du match
155 - 2023-08-231250Marlies5Canucks2AWSommaire du match
157 - 2023-08-251264Marlies3Rocket1AWSommaire du match
159 - 2023-08-271277Monsters1Marlies4BWSommaire du match
164 - 2023-09-011303Senators5Marlies4BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance81,50338,615
Assistance PCT99.39%94.18%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2930 - 97.66% 69,576$2,852,605$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,977,871$ 2,507,541$ 2,417,542$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
15,106$ 2,477,878$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 18,118$ 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