Connexion

Marlies
GP: 7 | W: 3 | L: 4
GF: 27 | GA: 31 | PP%: 18.18% | PK%: 65.12%
DG: Pascal Landry | Morale : 15 | Moyenne d’équipe : 63
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Marlies
3-4-0, 6pts
3
FINAL
4 Reign
5-7-0, 10pts
Team Stats
OTL2StreakL4
2-2-0Home Record2-3-0
1-2-0Away Record3-4-0
3-2-2Last 10 Games5-5-0
3.86Buts par match 4.08
4.43Buts contre par match 4.00
18.18%Pourcentage en avantage numérique28.85%
65.12%Pourcentage en désavantage numérique80.00%
Reign
5-7-0, 10pts
4
FINAL
3 Marlies
3-4-0, 6pts
Team Stats
L4StreakOTL2
2-3-0Home Record2-2-0
3-4-0Away Record1-2-0
5-5-0Last 10 Games3-2-2
4.08Buts par match 3.86
4.00Buts contre par match 4.43
28.85%Pourcentage en avantage numérique18.18%
80.00%Pourcentage en désavantage numérique65.12%
Meneurs d'équipe
Buts
Nicholas Baptiste
5
Passes
Neal Pionk
8
Points
Neal Pionk
9
Plus/Moins
Pavel Zacha
7
Victoires
Malcolm Subban
3
Pourcentage d’arrêts
Malcolm Subban
0.899

Statistiques d’équipe
Buts pour
27
3.86 GFG
Tirs pour
235
33.57 Avg
Pourcentage en avantage numérique
18.2%
6 GF
Début de zone offensive
34.9%
Buts contre
31
4.43 GAA
Tirs contre
266
38.00 Avg
Pourcentage en désavantage numérique
65.1%
15 GA
Début de la zone défensive
40.4%
Informations de l'équipe

Directeur généralPascal Landry
EntraîneurPeter DeBoer
DivisionFritz-Kraatz
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,992
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure20
Limite contact 49 / 250
Espoirs0


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
1Linden Vey (R)X100.007233747669757775777577636957523776710251995,000$
2Tyler Bertuzzi (R)X100.007735756979638573667373706451455659700212850,000$
3Colton Sissons (R)X100.007751707472697074766966667351464147690232800,000$
4Nicholas Baptiste (R)X100.007340727674567274597273636244445576680213700,000$
5Johan Larsson (R)X100.006337757362716668757571506146463973660241600,000$
6Aleksi Saarela (R)X100.005825717955605072596569517342427676630191500,000$
7Logan Brown (R)X100.007448636875547864556665525340408359620182500,000$
8Henri Ikonen (R)X100.006943626460467165566564574343434320600211500,000$
9Mathieu Olivier (R)X100.007343676678486659566362565342437076600192500,000$
10Tyler Benson (R)X100.007343626475517363496366564740408276600182500,000$
11Tobias Lindberg (R)X100.006641666857576458666061516243434331590211300,000$
12Zack MacEwen (R)X100.006242585868586656505860495143444527560201500,000$
13Haydn Fleury (R)X100.007135887275617565397258865650436041720202950,000$
14Tim Erixon (R)X100.007440847071787174617166756563493657720251950,000$
15Neal Pionk (R)X100.006533887859647385438168755149466166710211500,000$
16Brett Pesce (R)X100.006330788269677575428362715251464765700221650,000$
17Jeff Corbett (R)X100.006735815851736662427173655746464642650221600,000$
18Lucas Carlsson (R)X100.006938816266625956335543684042417548620192500,000$
Rayé
1Pavel Zacha (R)X100.006727826478686872697485556744427637690191500,000$
2Jakob Forsbacka-Karlsson (R)X100.006436626653565152584967505143435619560204400,000$
3Otto Koivula (R)X100.005130605267645165635267406440407220560182500,000$
4Jaden Lindo (R)X100.006131605061504959495860475442425520540201250,000$
5Radovan Bondra (R)X100.006422545052415655365952483941415320500191400,000$
6Dennis Gilbert (R)X100.006636696152616045366446693342435029590201500,000$
7Brycen Martin (R)X100.005428596650404867216644633542425619560201300,000$
8Simon Bourque (R)X100.003730515342415653245936564341415820480191400,000$
MOYENNE D’ÉQUIPE100.00663670666459656552666360554544574662
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
1Malcolm Subban100.00697485696779856968886854494776730231800,000$
2Charlie Lindgren100.00727678576490775855767452475776680231500,000$
Rayé
1Jamie Phillips100.00756780555777725854766147453520640231400,000$
MOYENNE D’ÉQUIPE100.0072728160638278625980685147465768
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter DeBoer67717386546362Can554666,000$


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
1Nick RitchieMaple LeafsLW7681461002463662016.67%016723.970445280113311169.23%1373011.6700000210
2Neal PionkMarlies (TOR)D718960059227104.55%117725.40112230011020000.00%057001.0100000000
3Pavel ZachaMarlies (TOR)C41787009892311.11%27518.760223120000100048.18%11012002.1300000012
4Nicholas BaptisteMarlies (TOR)RW752751001392771718.52%314721.012136280000131043.48%2362010.9500000100
5Brett PesceMarlies (TOR)D714522081116366.25%515321.93112631011121000.00%035000.6500000000
6Johan LarssonMarlies (TOR)LW7325-29587176717.65%29413.5610112101180155.56%1813001.0500010000
7Linden VeyMarlies (TOR)RW7404260148204920.00%010615.21101422000001075.00%462000.7500000001
8Colton SissonsMarlies (TOR)C51232809764516.67%110921.910111190000260051.85%13551000.5500000000
9Haydn FleuryMarlies (TOR)D703322011912350.00%1219728.19000120000036000.00%027000.3000000000
10Tim ErixonMarlies (TOR)D7033-2009148150.00%1115021.5500000000138000.00%017000.4000000000
11Tyler BertuzziMarlies (TOR)LW712356012816996.25%511716.720001211013140057.14%722000.5100000000
12Aleksi SaarelaMarlies (TOR)C7112-312012913357.69%011816.910110180000100035.00%10042000.3400000000
13Jeff CorbettMarlies (TOR)D7022100852220.00%710815.4400002100002000.00%013000.3700000000
14Logan BrownMarlies (TOR)C72021808483425.00%27210.3400000000040038.46%2611000.5500000000
15Lucas CarlssonMarlies (TOR)D7011120254110.00%48211.780000000000000.00%005000.2400000000
16Tyler BensonMarlies (TOR)LW7101-40085104910.00%2608.570000000000000.00%211000.3300000000
17Tobias LindbergMarlies (TOR)RW7000-400635230.00%3608.6500001000000050.00%411000.0000000000
18Zack MacEwenMarlies (TOR)C5000-280311120.00%0428.5300000000000045.45%1110000.0000000000
19Mathieu OlivierMarlies (TOR)RW7000-160733030.00%4699.870000000000000.00%201000.0000000000
Statistiques d’équipe totales ou en moyenne126274572228951761312356812511.49%64211116.75611173026023592403246.37%4554855020.6800010323
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
1Malcolm SubbanMarlies (TOR)53110.8993.693090019188104000.000052000
2Charlie LindgrenMarlies (TOR)20110.8465.7612520127830100.000025000
Statistiques d’équipe totales ou en moyenne73220.8834.294342031266134100.000077000


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
Aleksi SaarelaMarlies (TOR)C191997-01-01Yes200 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$No
Brett PesceMarlies (TOR)D221994-01-01Yes185 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$No
Brycen MartinMarlies (TOR)D201996-01-01Yes198 Lbs6 ft2NoNoNo1Pro & Farm300,000$0$0$No
Charlie LindgrenMarlies (TOR)G231993-01-01No180 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Colton SissonsMarlies (TOR)C231993-01-01Yes187 Lbs6 ft0NoNoNo2Pro & Farm800,000$0$0$No900,000$
Dennis GilbertMarlies (TOR)D201996-01-01Yes216 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Haydn FleuryMarlies (TOR)D201996-01-01Yes208 Lbs6 ft3NoNoNo2Pro & Farm950,000$0$0$No1,200,000$
Henri IkonenMarlies (TOR)LW211995-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Jaden LindoMarlies (TOR)RW201996-01-01Yes215 Lbs6 ft2NoNoNo1Pro & Farm250,000$0$0$No
Jakob Forsbacka-KarlssonMarlies (TOR)C201996-01-01Yes184 Lbs6 ft1NoNoNo4Pro & Farm400,000$0$0$No450,000$500,000$550,000$
Jamie PhillipsMarlies (TOR)G231993-01-01No180 Lbs6 ft0NoNoNo1Pro & Farm400,000$0$0$No
Jeff CorbettMarlies (TOR)D221994-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
Johan LarssonMarlies (TOR)LW241992-01-01Yes206 Lbs5 ft11NoNoNo1Pro & Farm600,000$0$0$No
Linden VeyMarlies (TOR)RW251991-01-01Yes189 Lbs6 ft0NoNoNo1Pro & Farm995,000$0$0$No
Logan BrownMarlies (TOR)C181998-01-01Yes227 Lbs6 ft6NoNoNo2Pro & Farm500,000$0$0$No500,000$
Lucas CarlssonMarlies (TOR)D191997-01-01Yes190 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Malcolm SubbanMarlies (TOR)G231993-01-01No195 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$No
Mathieu OlivierMarlies (TOR)RW191997-01-01Yes209 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Neal PionkMarlies (TOR)D211995-01-01Yes186 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Nicholas BaptisteMarlies (TOR)RW211995-01-01Yes185 Lbs6 ft1NoNoNo3Pro & Farm700,000$0$0$No800,000$900,000$
Otto KoivulaMarlies (TOR)LW181998-01-01Yes220 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Pavel ZachaMarlies (TOR)C191997-01-01Yes210 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Radovan BondraMarlies (TOR)RW191997-01-01Yes217 Lbs6 ft5NoNoNo1Pro & Farm400,000$0$0$No
Simon BourqueMarlies (TOR)D191997-01-01Yes198 Lbs6 ft1NoNoNo1Pro & Farm400,000$0$0$No
Tim ErixonMarlies (TOR)D251991-01-01Yes200 Lbs6 ft2NoNoNo1Pro & Farm950,000$0$0$No
Tobias LindbergMarlies (TOR)RW211995-01-01Yes185 Lbs6 ft3NoNoNo1Pro & Farm300,000$0$0$No
Tyler BensonMarlies (TOR)LW181998-01-01Yes190 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Tyler BertuzziMarlies (TOR)LW211995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm850,000$0$0$No950,000$
Zack MacEwenMarlies (TOR)C201996-01-01Yes205 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2920.79197 Lbs6 ft11.45563,621$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler BertuzziColton SissonsLinden Vey40122
2Johan LarssonAleksi SaarelaNicholas Baptiste30122
3Henri IkonenLogan BrownMathieu Olivier20122
4Tyler BensonZack MacEwenTobias Lindberg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryTim Erixon40122
2Neal PionkBrett Pesce30122
3Jeff CorbettLucas Carlsson20122
4Haydn FleuryTim Erixon10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler BertuzziColton SissonsLinden Vey60122
2Johan LarssonAleksi SaarelaNicholas Baptiste40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryTim Erixon60122
2Neal PionkBrett Pesce40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Colton SissonsTyler Bertuzzi60122
2Aleksi SaarelaJohan Larsson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryTim Erixon60122
2Neal PionkBrett Pesce40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Colton Sissons60122Haydn FleuryTim Erixon60122
2Aleksi Saarela40122Neal PionkBrett Pesce40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Colton SissonsTyler Bertuzzi60122
2Aleksi SaarelaJohan Larsson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryTim Erixon60122
2Neal PionkBrett Pesce40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler BertuzziColton SissonsLinden VeyHaydn FleuryTim Erixon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler BertuzziColton SissonsLinden VeyHaydn FleuryTim Erixon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Johan Larsson, Aleksi Saarela, Logan BrownJohan Larsson, Aleksi SaarelaJohan Larsson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brett Pesce, Jeff Corbett, Lucas CarlssonBrett PesceBrett Pesce, Jeff Corbett
Tirs de pénalité
Linden Vey, Tyler Bertuzzi, Colton Sissons, Nicholas Baptiste, Johan Larsson
Gardien
#1 : Malcolm Subban, #2 : Charlie Lindgren


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
1Reign734000002731-44220000016160312000001115-460.42927457200117812358168806266649117633618.18%431565.12%27015944.03%8518446.20%5611250.00%149791576712863
Total734000002731-44220000016160312000001115-460.42927457200117812358168806266649117633618.18%431565.12%27015944.03%8518446.20%5611250.00%149791576712863
_Since Last GM Reset734000002731-44220000016160312000001115-460.42927457200117812358168806266649117633618.18%431565.12%27015944.03%8518446.20%5611250.00%149791576712863
_Vs Conference734000002731-44220000016160312000001115-460.42927457200117812358168806266649117633618.18%431565.12%27015944.03%8518446.20%5611250.00%149791576712863
_Vs Division734000002731-44220000016160312000001115-460.42927457200117812358168806266649117633618.18%431565.12%27015944.03%8518446.20%5611250.00%149791576712863

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76OTL2274572235266649117600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002731
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001616
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31200001115
Derniers 10 matchs
WLOTWOTL SOWSOL
221200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
33618.18%431565.12%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
816880611781
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
7015944.03%8518446.20%5611250.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
149791576712863


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 - 2021-11-302Reign4Marlies7BWR1Sommaire du match
2 - 2021-12-0110Reign3Marlies4BWXSommaire du match
3 - 2021-12-0218Marlies4Reign3AWR1Sommaire du match
4 - 2021-12-0326Marlies4Reign8ALSommaire du match
5 - 2021-12-0434Reign5Marlies2BLR1Sommaire du match
6 - 2021-12-0542Marlies3Reign4ALXSommaire du match
7 - 2021-12-0650Reign4Marlies3BLXR1Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance8,0003,969
Assistance PCT100.00%99.23%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 2992 - 99.74% 89,128$356,511$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,634,500$ 1,455,000$ 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