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Marlies
GP: 1 | W: 0 | L: 1 | OTL: 0 | P: 0
GF: 1 | GA: 3 | PP%: 8.33% | PK%: 100.00%
DG: Danick Lépine | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #17 vs Senators
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Centre de jeu
Marlies
0-1-0, 0pts
1
FINAL
3 Bruins
2-0-0, 4pts
Team Stats
L1StreakW2
0-0-0Home Record1-0-0
0-1-0Away Record1-0-0
0-1-0Last 10 Games2-0-0
1.00Buts par match 3.00
3.00Buts contre par match 1.50
8.33%Pourcentage en avantage numérique10.00%
100.00%Pourcentage en désavantage numérique90.00%
Senators
1-0-0, 2pts
2022-10-14
Marlies
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
3.00Buts par match 1.00
1.00Buts contre par match 1.00
20.00%Pourcentage en avantage numérique8.33%
83.33%Pourcentage en désavantage numérique100.00%
Wolf Pack
0-1-0, 0pts
2022-10-15
Marlies
0-1-0, 0pts
Statistiques d’équipe
L1SéquenceL1
0-1-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
0-1-010 derniers matchs0-1-0
1.00Buts par match 1.00
5.00Buts contre par match 1.00
0.00%Pourcentage en avantage numérique8.33%
0.00%Pourcentage en désavantage numérique100.00%
Marlies
0-1-0, 0pts
2022-10-16
Penguins
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-0-0Fiche domicile0-0-0
0-1-0Fiche visiteur1-0-0
0-1-010 derniers matchs1-0-0
1.00Buts par match 3.00
3.00Buts contre par match 3.00
8.33%Pourcentage en avantage numérique14.29%
100.00%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Colin Blackwell
1
Passes
Arthur Kaliyev
1
Points
Arthur Kaliyev
1
Plus/Moins
Brendan Smith
0
Victoires
Thomas Greiss
0
Pourcentage d’arrêts
Thomas Greiss
0.8

Statistiques d’équipe
Buts pour
1
1.00 GFG
Tirs pour
31
31.00 Avg
Pourcentage en avantage numérique
8.3%
1 GF
Début de zone offensive
56.9%
Buts contre
3
3.00 GAA
Tirs contre
15
15.00 Avg
Pourcentage en désavantage numérique
100.0%
0 GA
Début de la zone défensive
31.9%
Informations de l'équipe

Directeur généralDanick Lépine
EntraîneurJoel Quenneville
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 60
Espoirs14


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
1Arthur Kaliyev (R)0XX100.006352867972638675256371596355556950002121,066,667$
2Adam Beckman (R)0X100.00746987686964665950585663534444625000212925,000$
3Gabriel Fortier (R)0XX100.00894587666254826225505961254444625000222880,000$
4Brett Howden0XXX100.00784491807657705868687168256464715000242900,000$
5Filip Chytil0XX100.006342928276658067586662632564646650002321,244,166$
6Darren Helm0X100.008244928270578360536159856380806950003511,250,000$
7Ryan Suzuki (R)0X100.00706583776553535670505860554444605000212894,167$
8Serron Noel (R)0X100.00788268638255575150514663444444555000222894,167$
9Tomas Nosek0XX100.007644877679658258876556832565676750003011,000,000$
10Derek Ryan0XX100.006541967766598461836364827569696950003511,250,000$
11Gabriel Bourque0XX100.00737275637255555750535662534444595000321866,000$
12Colin Blackwell0XXX100.008144917667627861556370735963637050002911,250,000$
13Steven Fogarty0XXX100.00787684627668706278625766544646635000291708,750$
14Brendan Smith0XXX100.008175777676647257254850752575756150003321,100,000$
15Jan Rutta0X100.007754827776708160255448752564666250003221,300,000$
16Joel Hanley0X100.00794496726958655725484875256060605000313750,000$
17Jordan Oesterle0X100.006742967767767062255048772565656250003021,350,000$
18Ryan Merkley (R)0X100.006141927664677669255048662547476050002221,163,333$
Rayé
1Samuel Helenius (R)0X100.00817985667936354556384663444444525000193902,500$
2Alex Vlasic (R)0X100.00754495757764435525464973254545595000213916,667$
3Andrew Nielsen (R)0X100.00818375628341395225464167395555535000251697,500$
MOYENNE D’ÉQUIPE100.0075568773736068594755556941565662500
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
1Cayden Primeau100.0059525180655283606559754545625000231966,666$
2Thomas Greiss100.00627070886558776465629167686650003613,750,000$
Rayé
1Hunter Jones (R)100.0046496181454645504545454444475000222925,000$
MOYENNE D’ÉQUIPE100.005657618358526858585570525258500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Quenneville81808276948850CAN6532,500,000$


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
1Arthur KaliyevMarlies (TOR)LW/RW1011-100012010.00%01717.330112800001000.00%100001.1500000000
2Nikita ZadorovMaple LeafsD1011040334120.00%02020.830113800001000.00%000000.9600000000
3Colin BlackwellMarlies (TOR)C/LW/RW1101-1201160116.67%11919.0710168000020019.072000001.0500000000
4Brendan SmithMarlies (TOR)LW/RW/D1000000010040.00%02323.580000800003000.00%000000.00%00000000
5Adam BeckmanMarlies (TOR)LW1000-100000000.00%066.370000000000000.00%000000.00%00000000
6Gabriel FortierMarlies (TOR)C/LW1000-100002010.00%077.980000000001007.98700000.00%00000000
7Brett HowdenMarlies (TOR)C/LW/RW1000020110020.00%01818.9300009000020018.93300000.00%00000000
8Filip ChytilMarlies (TOR)C/LW1000-100052010.00%01212.8300000000020012.83400000.00%00000000
9Jan RuttaMarlies (TOR)D1000-200011110.00%02323.520000800014000.00%000000.00%00000000
10Darren HelmMarlies (TOR)LW1000020012000.00%01919.1800029000020019.18600000.00%00000000
11Ryan SuzukiMarlies (TOR)C1000000000000.00%033.070000100000003.07100000.00%00000000
12Joel HanleyMarlies (TOR)D1000-100010010.00%01515.050000200001000.00%000000.00%00000000
13Jordan OesterleMarlies (TOR)D1000-200016000.00%02121.780005900003000.00%000000.00%00000000
14Serron NoelMarlies (TOR)RW1000-100100000.00%077.550000100000000.00%100000.00%00000000
15Ryan MerkleyMarlies (TOR)D1000-100000000.00%01515.220000100002000.00%000000.00%00000000
16Tomas NosekMarlies (TOR)C/LW1000-100020320.00%01111.5200001000000011.52400000.00%00000000
17Derek RyanMarlies (TOR)C/RW1000000125120.00%02121.0200049000040021.022400000.00%00000000
18Gabriel BourqueMarlies (TOR)LW/RW1000-100110010.00%01010.320000000000000.00%000000.00%00000000
19Steven FogartyMarlies (TOR)C/LW/RW1000-155201000.00%01414.8300017000000014.83100000.00%00010000
Statistiques d’équipe totales ou en moyenne19123-151551021316193.23%128915.2612323960001350063.89%7200000.2100010000
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
1Thomas GreissMarlies (TOR)10100.8003.0060003150000.00%010000
Statistiques d’équipe totales ou en moyenne10100.8003.006000315000010000


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 restantSalaire moyenSalaire moyen 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 BeckmanMarlies (TOR)LW212001-05-10Yes187 Lbs6 ft1NoNoNo2Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$Lien
Alex VlasicMarlies (TOR)D212001-06-05Yes198 Lbs6 ft6NoNoNo3Pro & Farm916,667$891,553$916,667$891,553$0$0$No916,667$916,667$
Andrew NielsenMarlies (TOR)D251996-11-13Yes224 Lbs6 ft4NoNoNo1Pro & Farm697,500$678,390$697,500$678,390$0$0$No
Arthur KaliyevMarlies (TOR)LW/RW212001-06-25Yes190 Lbs6 ft2NoNoNo2Pro & Farm1,066,667$1,037,443$925,000$899,658$0$0$No1,066,667$Lien
Brendan SmithMarlies (TOR)LW/RW/D331989-02-08No200 Lbs6 ft2YesNoNo2Pro & Farm1,100,000$1,069,863$1,100,000$1,069,863$0$0$No1,100,000$Lien
Brett HowdenMarlies (TOR)C/LW/RW241998-03-28No200 Lbs6 ft3NoNoNo2Pro & Farm900,000$875,342$900,000$875,342$0$0$No900,000$Lien
Cayden PrimeauMarlies (TOR)G231999-08-11No209 Lbs6 ft2NoNoNo1Pro & Farm966,666$940,182$966,666$940,182$0$0$NoLien
Colin BlackwellMarlies (TOR)C/LW/RW291993-03-28No190 Lbs5 ft9YesNoNo1Pro & Farm1,250,000$1,215,753$1,250,000$1,215,753$0$0$NoLien
Darren HelmMarlies (TOR)LW351987-01-21No192 Lbs6 ft0NoNoNo1Pro & Farm1,250,000$1,215,753$1,250,000$1,215,753$0$0$NoLien
Derek RyanMarlies (TOR)C/RW351986-12-29No185 Lbs5 ft10YesNoNo1Pro & Farm1,250,000$1,215,753$1,250,000$1,215,753$0$0$NoLien
Filip ChytilMarlies (TOR)C/LW231999-09-05No206 Lbs6 ft2NoNoNo2Pro & Farm1,244,166$1,210,079$894,166$869,668$0$0$No1,244,166$Lien
Gabriel BourqueMarlies (TOR)LW/RW321990-09-23No206 Lbs5 ft10NoNoNo1Pro & Farm866,000$842,274$866,000$842,274$0$0$NoLien
Gabriel FortierMarlies (TOR)C/LW222000-02-06Yes174 Lbs5 ft10NoNoNo2Pro & Farm880,000$855,890$880,000$855,890$0$0$No880,000$Lien
Hunter JonesMarlies (TOR)G222000-09-21Yes194 Lbs6 ft4NoNoNo2Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$Lien
Jan RuttaMarlies (TOR)D321990-07-29No204 Lbs6 ft3YesNoNo2Pro & Farm1,300,000$1,264,384$1,300,000$1,264,384$0$0$No1,300,000$Lien
Joel HanleyMarlies (TOR)D311991-06-08No190 Lbs5 ft11YesNoNo3Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$Lien
Jordan OesterleMarlies (TOR)D301992-06-25No182 Lbs6 ft0YesNoNo2Pro & Farm1,350,000$1,313,014$1,350,000$1,313,014$0$0$No1,350,000$Lien
Ryan MerkleyMarlies (TOR)D222000-08-14Yes176 Lbs5 ft11NoNoNo2Pro & Farm1,163,333$1,131,461$1,163,333$1,131,461$0$0$No1,163,333$Lien
Ryan SuzukiMarlies (TOR)C212001-05-28Yes176 Lbs6 ft0NoNoNo2Pro & Farm894,167$869,669$894,167$869,669$0$0$No894,167$Lien
Samuel HeleniusMarlies (TOR)C192002-11-26Yes201 Lbs6 ft6NoNoNo3Pro & Farm902,500$877,774$902,500$877,774$0$0$No902,500$902,500$
Serron NoelMarlies (TOR)RW222000-08-08Yes216 Lbs6 ft5NoNoNo2Pro & Farm894,167$869,669$894,167$869,669$0$0$No894,167$Lien
Steven FogartyMarlies (TOR)C/LW/RW291993-04-19No204 Lbs6 ft3NoNoNo1Pro & Farm708,750$689,332$708,750$689,332$0$0$NoLien
Thomas GreissMarlies (TOR)G361986-01-29No232 Lbs6 ft2NoNoNo1Pro & Farm3,750,000$3,647,260$3,750,000$3,647,260$0$0$NoLien
Tomas NosekMarlies (TOR)C/LW301992-08-31No210 Lbs6 ft3YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2426.58198 Lbs6 ft21.751,122,941$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Darren HelmDerek RyanBrett Howden35122
2Arthur KaliyevColin BlackwellSteven Fogarty30122
3Filip ChytilTomas NosekGabriel Bourque25122
4Adam BeckmanGabriel FortierSerron Noel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brendan SmithJan Rutta35122
2Jordan OesterleJoel Hanley30122
3Ryan Merkley25122
4Brendan SmithJan Rutta10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Darren HelmDerek RyanBrett Howden60122
2Arthur KaliyevColin BlackwellSteven Fogarty40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brendan SmithJan Rutta60122
2Jordan OesterleJoel Hanley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Darren HelmDerek Ryan60122
2Brett HowdenColin Blackwell40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brendan SmithJan Rutta60122
2Jordan OesterleJoel Hanley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Darren Helm60122Brendan SmithJan Rutta60122
2Derek Ryan40122Jordan OesterleJoel Hanley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Darren HelmDerek Ryan60122
2Brett HowdenColin Blackwell40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brendan SmithJan Rutta60122
2Jordan OesterleJoel Hanley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Darren HelmDerek RyanBrett HowdenBrendan SmithJan Rutta
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Darren HelmDerek RyanBrett HowdenBrendan SmithJan Rutta
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Suzuki, Tomas Nosek, Filip ChytilRyan Suzuki, Tomas NosekFilip Chytil
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Merkley, , Jordan OesterleRyan Merkley, Jordan Oesterle
Tirs de pénalité
Darren Helm, Derek Ryan, Brett Howden, Colin Blackwell, Arthur Kaliyev
Gardien
#1 : Thomas Greiss, #2 : Cayden Primeau
Lignes d’attaque personnalisées en prolongation
Darren Helm, Derek Ryan, Brett Howden, Colin Blackwell, Arthur Kaliyev, Tomas Nosek, Tomas Nosek, Filip Chytil, Brendan Smith, Steven Fogarty, Gabriel Fortier
Lignes de défense personnalisées en prolongation
Brendan Smith, Jan Rutta, Jordan Oesterle, Joel Hanley, Ryan Merkley


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
1Bruins1010000013-2000000000001010000013-200.000123000010314918015115101218.33%50100.00%0264163.41%132356.52%7887.50%2518227115
Total1010000013-2000000000001010000013-200.000123000010314918015115101218.33%50100.00%0264163.41%132356.52%7887.50%2518227115
_Since Last GM Reset1010000013-2000000000001010000013-200.000123000010314918015115101218.33%50100.00%0264163.41%132356.52%7887.50%2518227115
_Vs Conference1010000013-2000000000001010000013-200.000123000010314918015115101218.33%50100.00%0264163.41%132356.52%7887.50%2518227115
_Vs Division1010000013-2000000000001010000013-200.000123000010314918015115101218.33%50100.00%0264163.41%132356.52%7887.50%2518227115

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
10L112331151151000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
101000013
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000013
Derniers 10 matchs
WLOTWOTL SOWSOL
010000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1218.33%50100.00%0
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
491800010
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
264163.41%132356.52%7887.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2518227115


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 - 2022-10-096Marlies1Bruins3ALSommaire du match
6 - 2022-10-1417Senators-Marlies-
7 - 2022-10-1530Wolf Pack-Marlies-
8 - 2022-10-1634Marlies-Penguins-
10 - 2022-10-1854Marlies-Penguins-
12 - 2022-10-2059Rocket-Marlies-
14 - 2022-10-2277Flames-Marlies-
15 - 2022-10-2386Marlies-Bruins-
16 - 2022-10-2492Marlies-Admirals-
18 - 2022-10-26104Marlies-Crunch-
19 - 2022-10-27109Wolf Pack-Marlies-
22 - 2022-10-30126Bruins-Marlies-
25 - 2022-11-02144Rocket-Marlies-
26 - 2022-11-03155Marlies-Admirals-
28 - 2022-11-05165Soldiers-Marlies-
29 - 2022-11-06175Marlies-Griffins-
32 - 2022-11-09188Wolf Pack-Marlies-
35 - 2022-11-12201Bruins-Marlies-
37 - 2022-11-14209Marlies-Bruins-
41 - 2022-11-18224Marlies-IceHogs-
42 - 2022-11-19231Admirals-Marlies-
45 - 2022-11-22243Marlies-Admirals-
46 - 2022-11-23252Phantoms-Marlies-
48 - 2022-11-25267Marlies-Monsters-
49 - 2022-11-26274Rocket-Marlies-
51 - 2022-11-28289Crunch-Marlies-
52 - 2022-11-29295Marlies-Rocket-
54 - 2022-12-01312Phantoms-Marlies-
56 - 2022-12-03319Marlies-Flames-
58 - 2022-12-05335Senators-Marlies-
60 - 2022-12-07341Marlies-Crunch-
62 - 2022-12-09355Flames-Marlies-
64 - 2022-12-11364Marlies-Soldiers-
67 - 2022-12-14380Rampage-Marlies-
68 - 2022-12-15391Marlies-Wolf Pack-
69 - 2022-12-16400Griffins-Marlies-
72 - 2022-12-19410Marlies-Condors-
73 - 2022-12-20418Marlies-Crunch-
74 - 2022-12-21422Marlies-Penguins-
75 - 2022-12-22435Sound Tigers-Marlies-
77 - 2022-12-24450Crunch-Marlies-
81 - 2022-12-28466Wolf Pack-Marlies-
84 - 2022-12-31482Marlies-Flames-
85 - 2023-01-01489Monsters-Marlies-
87 - 2023-01-03499Marlies-Monsters-
89 - 2023-01-05510Senators-Marlies-
91 - 2023-01-07525Marlies-Bruins-
93 - 2023-01-09532Stars-Marlies-
95 - 2023-01-11541Marlies-Sound Tigers-
98 - 2023-01-14554Marlies-Rocket-
99 - 2023-01-15561Admirals-Marlies-
103 - 2023-01-19579Crunch-Marlies-
105 - 2023-01-21594Sharks-Marlies-
108 - 2023-01-24602Marlies-Moose-
109 - 2023-01-25617Senators-Marlies-
111 - 2023-01-27625Marlies-Monarchs-
113 - 2023-01-29633Marlies-Phantoms-
114 - 2023-01-30643Flames-Marlies-
117 - 2023-02-02655Marlies-Crunch-
118 - 2023-02-03666Penguins-Marlies-
121 - 2023-02-06676Marlies-Rampage-
124 - 2023-02-09687Marlies-Griffins-
125 - 2023-02-10693Rocket-Marlies-
127 - 2023-02-12708Marlies-Senators-
128 - 2023-02-13715Wolves-Marlies-
132 - 2023-02-17729Bruins-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
134 - 2023-02-19743Marlies-Rampage-
137 - 2023-02-22751Marlies-Senators-
139 - 2023-02-24757IceHogs-Marlies-
141 - 2023-02-26770Marlies-Penguins-
144 - 2023-03-01781IceHogs-Marlies-
145 - 2023-03-02790Marlies-Penguins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
142,332$ 2,695,060$ 2,645,892$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 73,836$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 142 35,583$ 5,052,786$




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