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Marlies
GP: 1 | W: 1 | L: 0
GF: 5 | GA: 1 | PP%: 0% | PK%: 0%
DG: LedTasso | Morale : 72 | Moyenne d’équipe : 60
Prochains matchs #12 vs Penguins

Centre de jeu
Penguins
0-1-0, 0pts
1
FINAL
5 Marlies
1-0-0, 2pts
Team Stats
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche domicile0-0-0
0-1-0Derniers 10 matchs1-0-0
1.00Buts par match 5.00
5.00Buts contre par match 1.00
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Penguins
0-1-0, 0pts
Jour 3
Marlies
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche visiteur0-0-0
0-1-010 derniers matchs1-0-0
1.00Buts par match 5.00
5.00Buts contre par match 5.00
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Marlies
1-0-0, 2pts
Jour 5
Penguins
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
5.00Buts par match 1.00
1.00Buts contre par match 1.00
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Marlies
1-0-0, 2pts
Jour 7
Penguins
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
5.00Buts par match 1.00
1.00Buts contre par match 1.00
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe
Buts
Andre Ghantous
1
Passes
Andre Ghantous
2
Points
Andre Ghantous
3
Plus/Moins
Ben McCartney
3
Victoires
Hunter Shepard
1
Pourcentage d’arrêts
Hunter Shepard
0.977

Statistiques d’équipe
Buts pour
5
5.00 GFG
Tirs pour
32
32.00 Avg
Pourcentage en avantage numérique
0%
0 GF
Début de zone offensive
21.8%
Buts contre
1
1.00 GAA
Tirs contre
44
44.00 Avg
Pourcentage en désavantage numérique
0%%
0 GA
Début de la zone défensive
50.9%
Informations de l'équipe

Directeur généralLedTasso
EntraîneurAdam Oates
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineJayson Megna
Assistant #1Riley Nash
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 90
Espoirs38


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
1Jayson Megna (C)0X99.005044876383786665606865666353630856303411,000,000$
2Riley Nash (A)0X100.005043866282776062586665616368750746203511,300,000$
3Logan Morrison (R)0X99.00504088667981676156666460625060086610222875,000$
4Drake Caggiula0X99.005039756277606066406866626350600836003011,000,000$
5Seth Griffith0X99.005041756178606067407064626250600836003121,000,000$
6Ethen Frank0X99.005040756077606064406370626550600776002631,150,000$
7Rourke Chartier0X100.00564393618076605478626366605161066600282850,000$
8Rory Kerins0X100.00504375578060606140636662635060077590222775,000$
9David Gust0X100.005039756077606063406565626350600835903011,000,000$
10Ben McCartney0XXX100.00504575548460605940646262615060084580231850,000$
11Andre Ghantous (R)0XXX100.00504075587760605940646262615060081580261775,000$
12Sam Morton (R)0X100.0050427557816060604061686264506005958N02521,000,000$
13Trevor Carrick0X100.00504775538760607820676368625060085610301850,000$
14Lucas Carlsson0X99.005042755881606080206667686450600856102721,000,000$
15Filip Roos0X99.00504390598376607120636065605060083610252800,000$
16Yan Kuznetsov0X100.00504987538971607120616167615060083610221850,000$
17Noel Hoefenmayer0X100.00504375558260607420626368625060083600252775,000$
18Max Martin0X100.00504075558060607120616068605060026590251775,000$
Rayé
1Cole Reinhardt23X100.00504775528560605840636262615060024570241775,000$
2Jeremy McKenna0X100.00504475548160605840626362625060024570252775,000$
3Jake Chiasson (R)0X100.00504275538260605340595962605060023550213775,000$
4Chad Nychuk0X100.00504475538260607120616168615060023590231775,000$
MOYENNE D’ÉQUIPE99.6850437958816561653864646462516106760
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
1Hunter Shepard098.0074767385787776787875767771086750291850,000$
2Thomas Milic0100.0063726983666763676764656566085660213875,000$
Rayé
1Jaxson Stauber0100.0063696686676765686764667169024660252800,000$
2Isaac Poulter (R)0100.0055636085595957605956586867024600231775,000$
3Dryden McKay0100.0038565384424341434339417470024500271800,000$
MOYENNE D’ÉQUIPE99.605967648562636063636061716904963
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Oates75757575757575CAN6260$


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
1Andre GhantousMarlies (TOR)C/LW/RW11233001121450.00%01010.1200000000000057.14%702005.9300000010
2Lucas CarlssonMarlies (TOR)D1022200333110%22323.250000000000000%000001.7200000001
3Ben McCartneyMarlies (TOR)C/LW/RW110130010110100.00%01010.120000000000000%000001.9800000000
4Rory KerinsMarlies (TOR)C11011002331033.33%21414.130000000000000%000001.4200000000
5Noel HoefenmayerMarlies (TOR)D1011200120100%11818.830000000000000%000001.0600000000
6Trevor CarrickMarlies (TOR)D1011200111100%11818.830000000000000%000001.0600000000
7Drake CaggiulaMarlies (TOR)C1011000312110%11717.350000000000000%001001.1500000000
8David GustMarlies (TOR)RW11013000121150.00%01010.120000000000100%010001.9800000000
9Seth GriffithMarlies (TOR)RW11010001173314.29%01717.350000000000000%001001.1500000000
10Max MartinMarlies (TOR)D1011000120000%11717.920000000000000%000001.1200000000
11Filip RoosMarlies (TOR)D1011200120120%02323.250000000000000%000000.8600000000
12Jayson MegnaMarlies (TOR)C1000000103240%11818.4000000000000050.00%242000000000000
13Riley NashMarlies (TOR)C1000000112230%01717.3500000000000036.36%110000000000000
14Ethen FrankMarlies (TOR)RW1000000010020%01818.400000000000000%11100000000000
15Logan MorrisonMarlies (TOR)C1000000223130%01818.40000000000000100.00%10000000000000
16Rourke ChartierMarlies (TOR)C1000100030000%11414.1300000000000063.64%110100000000000
17Sam MortonMarlies (TOR)C1000100011010%11414.130000000000000%01000000000000
18Yan KuznetsovMarlies (TOR)D1000000002110%01717.920000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1859142000192532182615.63%1130016.6700000000001050.91%5556000.9300000011
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
1Hunter ShepardMarlies (TOR)11000.9771.00600014420000010100
Statistiques d’équipe totales ou en moyenne11000.9771.0060001442000010100


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andre GhantousMarlies (TOR)C/LW/RW261998-12-07USAYes180 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Ben McCartneyMarlies (TOR)C/LW/RW232001-07-13CANNo199 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm850,000$789,286$0$0$No---------------------------
Chad NychukMarlies (TOR)D232001-03-06CANNo194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Cole ReinhardtMarlies (TOR)LW242000-02-01CANNo207 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
David GustMarlies (TOR)RW301994-02-21USANo177 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$928,571$0$0$No---------------------------
Drake Caggiula (contrat à 1 volet)Marlies (TOR)C301994-06-20CANNo176 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$928,571$0$0$No---------------------------
Dryden McKayMarlies (TOR)G271997-11-25USANo183 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$742,857$0$0$No---------------------------
Ethen Frank (contrat à 1 volet)Marlies (TOR)RW261998-02-05USANo178 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm1,150,000$1,067,857$0$0$No1,150,000$1,150,000$-------1,150,000$1,150,000$-------NoNo-------
Filip RoosMarlies (TOR)D251999-01-05SWENo190 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm800,000$742,857$0$0$No800,000$--------800,000$--------No--------
Hunter ShepardMarlies (TOR)G291995-11-07USANo215 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm850,000$789,286$0$0$No---------------------------
Isaac PoulterMarlies (TOR)G232001-09-12CANYes178 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Jake ChiassonMarlies (TOR)RW212003-05-25CANYes187 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm775,000$719,643$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Jaxson StauberMarlies (TOR)G251999-04-27USANo175 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm800,000$742,857$0$0$No800,000$--------800,000$--------No--------
Jayson MegnaMarlies (TOR)C341990-02-01USANo195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$928,571$0$0$No---------------------------
Jeremy McKennaMarlies (TOR)RW251999-04-20CANNo194 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm775,000$719,643$0$0$No775,000$--------775,000$--------No--------
Logan MorrisonMarlies (TOR)C222002-07-09CANYes179 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm875,000$812,500$0$0$No875,000$--------875,000$--------No--------
Lucas CarlssonMarlies (TOR)D271997-07-05SWENo189 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$928,571$0$0$No1,000,000$--------1,000,000$--------No--------
Max MartinMarlies (TOR)D251999-06-25CANNo181 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Noel HoefenmayerMarlies (TOR)D251999-06-01CANNo192 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$719,643$0$0$No775,000$--------775,000$--------No--------
Riley Nash (contrat à 1 volet)Marlies (TOR)C351989-05-09CANNo192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$1,207,143$150,000$139,286$No---------------------------
Rory KerinsMarlies (TOR)C222002-04-12CANNo190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm775,000$719,643$0$0$No775,000$--------775,000$--------No--------
Rourke ChartierMarlies (TOR)C281996-04-03CANNo190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm850,000$789,286$0$0$No850,000$--------850,000$--------No--------
Sam MortonMarlies (TOR)C251999-07-28USAYes186 Lbs6 ft1YesNoN/ANoNo2FalseFalsePro & Farm1,000,000$928,571$0$0$No1,000,000$--------1,000,000$--------Yes--------
Seth GriffithMarlies (TOR)RW311993-01-04CANNo185 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$928,571$0$0$No1,000,000$--------1,000,000$--------No--------
Thomas MilicMarlies (TOR)G212003-04-14CANNo179 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm875,000$812,500$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------
Trevor CarrickMarlies (TOR)D301994-07-04CANNo209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm850,000$789,286$0$0$No---------------------------
Yan KuznetsovMarlies (TOR)D222002-03-09RUSNo215 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm850,000$789,286$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2726.07189 Lbs6 ft01.59882,407$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Logan MorrisonJayson MegnaEthen Frank35023
2Drake CaggiulaRiley NashSeth Griffith30023
3Sam MortonRourke ChartierRory Kerins25032
4Ben McCartneyAndre GhantousDavid Gust10041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip RoosLucas Carlsson41032
2Trevor CarrickNoel Hoefenmayer33032
3Yan KuznetsovMax Martin26032
4Trevor CarrickNoel Hoefenmayer0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drake CaggiulaLogan MorrisonEthen Frank50005
2Sam MortonJayson MegnaSeth Griffith50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip RoosLucas Carlsson70023
2Trevor CarrickLucas Carlsson30023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jayson MegnaDrake Caggiula50050
2Rourke ChartierSeth Griffith50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor CarrickMax Martin60050
2Noel HoefenmayerYan Kuznetsov40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jayson Megna60050Trevor CarrickMax Martin60050
2Rourke Chartier40050Noel HoefenmayerYan Kuznetsov40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jayson MegnaDavid Gust50032
2Sam MortonBen McCartney50032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor CarrickMax Martin50032
2Lucas CarlssonNoel Hoefenmayer50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jayson MegnaRourke ChartierRiley NashFilip RoosLucas Carlsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jayson MegnaRourke ChartierRiley NashLucas CarlssonNoel Hoefenmayer
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Riley Nash, Jayson Megna, Rory KerinsDavid Gust, Jayson MegnaRiley Nash
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Trevor Carrick, Lucas Carlsson, Filip RoosNoel HoefenmayerLucas Carlsson, Filip Roos
Tirs de pénalité
Ethen Frank, Sam Morton, Rory Kerins, Riley Nash, Logan Morrison
Gardien
#1 : Hunter Shepard, #2 : Thomas Milic
Lignes d’attaque personnalisées en prolongation
Jayson Megna, Rourke Chartier, David Gust, Seth Griffith, Riley Nash, Drake Caggiula, Sam Morton, Rory Kerins, Logan Morrison, Ethen Frank
Lignes de défense personnalisées en prolongation
Max Martin, Lucas Carlsson, Trevor Carrick, Filip Roos, Noel Hoefenmayer


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
1Penguins11000000514110000005140000000000021.0005914002210321071504411019000%000%051241.67%142850.00%91560.00%2012238168
Total11000000514110000005140000000000021.0005914002210321071504411019000%000%051241.67%142850.00%91560.00%2012238168
_Since Last GM Reset11000000514110000005140000000000021.0005914002210321071504411019000%000%051241.67%142850.00%91560.00%2012238168
_Vs Conference11000000514110000005140000000000021.0005914002210321071504411019000%000%051241.67%142850.00%91560.00%2012238168

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
12W1591432441101900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
110000051
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000051
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
1071502210
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
51241.67%142850.00%91560.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2012238168


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
14Penguins1Marlies5WSommaire du match
312Penguins-Marlies-
520Marlies-Penguins-
728Marlies-Penguins-
936Penguins-Marlies-
1144Marlies-Penguins-
1352Penguins-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,037,500$ 2,037,500$ 0$0$
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$ 13 0$ 0$




Marlies Leaders statistiques des joueurs (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 des joueurs (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