Marlies
GP: 82 | W: 41 | L: 36 | OTL: 5 | P: 87
GF: 332 | GA: 347 | PP%: 28.23% | PK%: 71.43%
DG: Guillaume Jacob | Morale : 75 | Moyenne d’équipe : 61
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Centre de jeu
Marlies
41-36-5, 87pts
4
FINAL
3 Crunch
45-29-8, 98pts
Team Stats
W2StreakW1
20-17-4Home Record25-13-3
21-19-1Away Record20-16-5
3-5-2Last 10 Games6-3-1
4.05Buts par match 3.89
4.23Buts contre par match 3.54
28.23%Pourcentage en avantage numérique26.80%
71.43%Pourcentage en désavantage numérique77.83%
Marlies
41-36-5, 87pts
8
FINAL
1 Wolf Pack
48-26-8, 104pts
Team Stats
W2StreakL1
20-17-4Home Record28-11-2
21-19-1Away Record20-15-6
3-5-2Last 10 Games6-3-1
4.05Buts par match 4.05
4.23Buts contre par match 3.67
28.23%Pourcentage en avantage numérique21.07%
71.43%Pourcentage en désavantage numérique78.21%
Meneurs d'équipe
Victoires
Pyotr Kochetkov
17
Alex LyonPourcentage d’arrêts
Alex Lyon
0.911

Statistiques d’équipe
Buts pour
332
4.05 GFG
Tirs pour
3125
38.11 Avg
Pourcentage en avantage numérique
28.2%
70 GF
Début de zone offensive
40.9%
Buts contre
347
4.23 GAA
Tirs contre
3031
36.96 Avg
Pourcentage en désavantage numérique
71.4%
62 GA
Début de la zone défensive
38.9%
Information d’équipe

Directeur généralGuillaume Jacob
EntraîneurBlaine Forsythe
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,955
Billets de saison300


Information formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 80
Espoirs32


Historique d'équipe

Saison actuelle41-36-5 (87PTS)
Historique1086-941-216 (0.484%)
Apparitions séries éliminatoires 7
Historique séries éliminatoires (W-L)25-37
Stanley Cup0


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
1Adam Cracknell0X100.00763991668595886473656364617779075670372925,000$
2Adam Ruzicka (R)0XXX100.00763992679083756578666864676365075660231925,000$
3Byron Froese0XX100.00703987607887776378616268647176075640311750,000$
4Kristian Vesalainen (R)0XX100.00733988658670836459626163666467075640232903,000$
5Jake Lucchini0X100.00573684606985915962615855606769075610271700,000$
6Devante Smith-Pelly0X100.00703892547961765551565758537072075600301750,000$
7Donald Busdeker (R)0X100.00573878586681865762605657616365075600231750,000$
8Mason Jobst0XX100.00563884616574675965585753616870075600281700,000$
9Mitchell McLain0X100.00653463567480895458525953576971075590291700,000$
10Cole Coskey (R)0X100.00633791577266635651555254576365075580231750,000$
11Jarid Lukosevicius0X100.00583780556981775455535652536769075580271700,000$
12Calen Addison (R)0X100.00633487706784826730686762566264075650222925,000$
13Brian Lashoff0X100.00774283578665885630555458467277075610321700,000$
14Logan Day0X100.00633986577973895630595458476867075600281700,000$
15Roland McKeown (R)0X100.00673874587670895430595355466668075600263750,000$
16Matt Murphy (R)0X100.00713987568063655430595157456769075590273950,000$
17Matthew Robertson (R)0X100.00784182528770935130545257456163075590213950,000$
Rayé
1Vasily Ponomarev (R)0X100.00593789656879616472635962666162075620203950,000$
2Alex Gallant0XX100.00778659557069785457525351557072075580301750,000$
3Alexis D'Aoust0X100.00643795547371625354515651546668075580261750,000$
4Andre Lee0X100.00714273549175645358555059536264075580221750,000$
5Jacob Doty0XX100.00747156528365685351545556526971075580291700,000$
6Blake Christensen0X100.00573472556471625351525456536769075570271750,000$
7Ara Nazarian0X100.00573693546663615355525654566568075570261750,000$
8Benjamin Tardif0X100.00593792536963615254505155536164075560221750,000$
MOYENNE D’ÉQUIPE100.0066418258767476575357575755666907560
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
1Adam Huska (R)100.0074727389737274737274736573075650253852,000$
2Alex Lyon100.0075757678737274737274737084075650301750,000$
Rayé
1Pyotr Kochetkov (R)100.0072737284717072717072716369075630233950,000$
MOYENNE D’ÉQUIPE100.007473748472717372717372667507564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Blaine Forsythe67707365706579CAN471500,000$


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
1Byron FroeseMarlies (TOR)C/RW8152631152133513117843912131811.85%40178422.041014247019920261548261.10%50900021.29340019104
2Adam RuzickaMarlies (TOR)C/LW/RW6836599520315152210387962799.30%30157923.23412163915801171725457.07%185400011.2004010873
3Calen AddisonMarlies (TOR)D82286290-8180681622487315911.29%150198224.171616321102100110179300.00%100110.9101000344
4Jake LucchiniMarlies (TOR)LW82255277820065106269791969.29%15163919.9911920431920002441344.53%12800000.9423000243
5Logan DayMarlies (TOR)D821150616260889311741939.40%118172321.02411155118800001481050.00%200000.7100000114
6Donald BusdekerMarlies (TOR)RW82233558-20180135131255711899.02%17152118.55991851183000002141.23%11400010.7612000331
7Adam CracknellMarlies (TOR)C33223456-5135651291814514212.15%1685325.864101431930000835154.89%117700021.3111010502
8Vasily PonomarevMarlies (TOR)C57252752-8100581712136216111.74%17101617.83881626910003581054.28%128600011.0212000140
9Roland McKeownMarlies (TOR)D82133851276019287100286313.00%130171620.9371219541880000137100.00%000000.5900000202
10Brian LashoffMarlies (TOR)D81113445-5971522654102305610.78%105187223.1261117351920002145000.00%000000.4800111105
11Devante Smith-PellyMarlies (TOR)RW82202444-13240118102212701479.43%18115014.03000380000173044.04%10900000.7600000243
12Kristian VesalainenMarlies (TOR)LW/RW3518224041005751139359212.95%1166719.0606621810001423148.19%8300011.2003000300
13Matthew RobertsonMarlies (TOR)D8292635-246201595761184614.75%83127615.57011220000126010.00%000000.5500000014
14Matt MurphyMarlies (TOR)D6642024-88061624217319.52%72101015.3100034011153110.00%000000.4800000011
15Jarid LukoseviciusMarlies (TOR)RW7271118-910043829242737.61%474010.2800006000001047.97%54200000.4900000100
16Mason JobstMarlies (TOR)C/LW2811011-20013606917361.45%336613.07000000001160052.65%26400000.6000000000
17Mitchell McLainMarlies (TOR)C24549280412931112116.13%22229.2900000000000047.64%25400000.8100000000
18Benjamin TardifMarlies (TOR)LW37516-920332347134010.64%352914.30112748000031035.90%3900000.2300000011
19Ara NazarianMarlies (TOR)LW932502055169918.75%312413.7900000000061027.27%1100000.8100000001
20Alex GallantMarlies (TOR)C/LW1031438017111331223.08%1999.9400000000000055.56%4500000.8000000100
21Alexis D'AoustMarlies (TOR)RW38314-58021132871710.71%53007.92000020000141032.10%8100000.2700000110
22Blake ChristensenMarlies (TOR)LW16123-6002414567.14%0734.6201102000010150.00%1400000.8100000000
23Cole CoskeyMarlies (TOR)RW43033-3005169290.00%51964.5700018000080038.81%6700000.3111000000
24Andre LeeMarlies (TOR)LW1603306023145840.00%11257.8300000000060057.14%2100000.4800000000
Statistiques d’équipe totales ou en moyenne1288325584909-5949030177818503089903219910.52%8492257317.53701312015471882235241323381553.61%660100190.81921132434138
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
1Pyotr KochetkovMarlies (TOR)33171120.9043.231783209610050300.667123120101
2Alex LyonMarlies (TOR)1410300.9112.9178400384250100.0000140100
3Adam HuskaMarlies (TOR)84300.9063.5838620232450000.000087000
Statistiques d’équipe totales ou en moyenne55311720.9063.1929544015716750400.667125327201


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 CracknellMarlies (TOR)C377/15/1985No209 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Adam HuskaMarlies (TOR)G255/12/1997Yes214 Lbs6 ft4NoNoNo3Pro & Farm852,000$852,000$0$0$No852,000$852,000$Lien / Lien NHL
Adam RuzickaMarlies (TOR)C/LW/RW235/11/1999Yes220 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Alex GallantMarlies (TOR)C/LW3012/8/1992No177 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Alex LyonMarlies (TOR)G3012/9/1992No201 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Alexis D'AoustMarlies (TOR)RW264/3/1996No205 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Andre LeeMarlies (TOR)LW227/26/2000No206 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Ara NazarianMarlies (TOR)LW266/1/1996No185 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Benjamin TardifMarlies (TOR)LW221/24/2000No192 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Blake ChristensenMarlies (TOR)LW279/15/1995No174 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Brian LashoffMarlies (TOR)D327/16/1990No213 Lbs6 ft3NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Byron FroeseMarlies (TOR)C/RW313/12/1991No202 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Calen AddisonMarlies (TOR)D224/11/2000Yes173 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Cole CoskeyMarlies (TOR)RW236/1/1999Yes190 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Devante Smith-PellyMarlies (TOR)RW306/14/1992No223 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Donald BusdekerMarlies (TOR)RW239/25/1999Yes180 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Jacob DotyMarlies (TOR)C/RW296/19/1993No212 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Jake LucchiniMarlies (TOR)LW275/9/1995No183 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Jarid LukoseviciusMarlies (TOR)RW272/5/1995No185 Lbs5 ft10NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Kristian VesalainenMarlies (TOR)LW/RW236/1/1999Yes207 Lbs6 ft3NoNoNo2Pro & Farm903,000$903,000$0$0$No903,000$Lien / Lien NHL
Logan DayMarlies (TOR)D289/19/1994No209 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Mason JobstMarlies (TOR)C/LW282/17/1994No185 Lbs5 ft8NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Matt MurphyMarlies (TOR)D275/1/1995Yes197 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Matthew RobertsonMarlies (TOR)D219/1/2001Yes201 Lbs6 ft4NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Mitchell McLainMarlies (TOR)C2912/9/1993No196 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Pyotr KochetkovMarlies (TOR)G236/25/1999Yes205 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Roland McKeownMarlies (TOR)D261/20/1996Yes195 Lbs6 ft1NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Vasily PonomarevMarlies (TOR)C203/13/2002Yes180 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2826.32197 Lbs6 ft11.54793,929$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam RuzickaAdam CracknellKristian Vesalainen40122
2Jake LucchiniByron FroeseDonald Busdeker30122
3Mason JobstDevante Smith-Pelly20122
4Adam CracknellMitchell McLainCole Coskey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonBrian Lashoff40122
2Roland McKeownLogan Day30122
3Matthew RobertsonMatt Murphy20122
4Calen AddisonBrian Lashoff10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam RuzickaAdam CracknellKristian Vesalainen60122
2Jake LucchiniByron FroeseDonald Busdeker40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonBrian Lashoff60122
2Roland McKeownLogan Day40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam CracknellAdam Ruzicka60122
2Kristian VesalainenByron Froese40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonBrian Lashoff60122
2Roland McKeownLogan Day40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Cracknell60122Calen AddisonBrian Lashoff60122
2Adam Ruzicka40122Roland McKeownLogan Day40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adam CracknellAdam Ruzicka60122
2Kristian VesalainenByron Froese40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonBrian Lashoff60122
2Roland McKeownLogan Day40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam RuzickaAdam CracknellKristian VesalainenCalen AddisonBrian Lashoff
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam RuzickaAdam CracknellKristian VesalainenCalen AddisonBrian Lashoff
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jarid Lukosevicius, , Mason JobstJarid Lukosevicius, Mason Jobst
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Robertson, Matt Murphy, Roland McKeownMatthew RobertsonMatt Murphy, Roland McKeown
Tirs de pénalité
Adam Cracknell, Adam Ruzicka, Kristian Vesalainen, Byron Froese,
Gardien
#1 : Alex Lyon, #2 : Adam Huska
Lignes d’attaque personnalisées en prolongation
Adam Cracknell, Adam Ruzicka, Kristian Vesalainen, Byron Froese, , Jake Lucchini, Jake Lucchini, Mason Jobst, Donald Busdeker, Devante Smith-Pelly, Mitchell McLain
Lignes de défense personnalisées en prolongation
Calen Addison, Brian Lashoff, Roland McKeown, Logan Day, Matthew Robertson


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
1Admirals2110000078-1110000003121010000047-320.50071421001151139616769501084105459611414509111.11%60100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
2Americans321000001314-121100000811-31100000053240.667132336001151139616100950108410545910223294711327.27%12466.67%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
3Barracuda220000001156110000005231100000063341.0001121320011511396167095010841054596229123611436.36%60100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
4Bears31200000815-721100000710-31010000015-420.333814220011511396168495010841054591132926667114.29%13469.23%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
5Bruins422000001519-42110000069-321100000910-140.500152237001151139616157950108410545917345338913538.46%14564.29%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
6Checkers413000001322-920200000513-82110000089-120.25013233600115113961612795010841054591504634891616.25%16568.75%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
7Comets21100000914-51010000039-61100000065120.5009172600115113961676950108410545980152519333.33%10100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
8Condors2100000111921000000167-11100000052330.750111829001151139616649501084105459802416395240.00%5260.00%11590302052.65%1461287250.87%792149852.87%1983138419305811049526
9Crunch32001000155101100000041321001000114761.0001528430011511396161389501084105459942820726233.33%9366.67%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
10Devils3210000014951010000056-12200000093640.6671427410011511396161779501084105459983512829333.33%60100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
11Eagles21100000880110000006421010000024-220.5008142200115113961676950108410545973222468225.00%10100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
12Firebirds21001000963110000005321000100043141.0009162500115113961678950108410545973238456116.67%4250.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
13Griffins4210000123185210000011174211000001211150.62523426500115113961616995010841054591705223878337.50%8187.50%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
14Gulls20200000611-51010000034-11010000037-400.00061218001151139616859501084105459881412466116.67%6266.67%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
15IceHogs2010001029-7100000102111010000008-820.50022400115113961657950108410545973132048500.00%8362.50%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
16Monsters30201000812-42020000049-51000100043120.3338142200115113961611495010841054591093322772150.00%11372.73%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
17Moose200011007701000010034-11000100043130.750713200011511396168295010841054597527851300.00%20100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
18Penguins31200000913-4110000005412020000049-520.333917260011511396161029501084105459933312748450.00%6183.33%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
19Phantoms312000001619-320200000615-911000000104620.333162743001151139616128950108410545913735307010220.00%14564.29%11590302052.65%1461287250.87%792149852.87%1983138419305811049526
20Reign2020000039-61010000003-31010000036-300.000347001151139616539501084105459832714326116.67%6266.67%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
21Roadrunners220000001486110000009541100000053241.000142640001151139616115950108410545964208537342.86%4325.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
22Rocket413000001521-621100000912-32020000069-320.250152540001151139616143950108410545914154247311327.27%12833.33%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
23Senators42100100171612200000011832010010068-250.6251730470011511396161609501084105459148391210313861.54%6350.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
24Silver Knights2010100011110100010006511010000056-120.500112031001151139616639501084105459752984410330.00%4250.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
25Sound Tigers330000002191222000000144101100000075261.0002135560011511396161659501084105459105266606116.67%3166.67%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
26Stars21100000710-3110000006421010000016-520.50071320001151139616699501084105459801812374125.00%5180.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
27Thunderbirds211000007701010000034-11100000043120.50071320001151139616619501084105459811910477342.86%40100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
28Wild201010006601010000023-11000100043120.50061218001151139616759501084105459601326347228.57%6266.67%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
29Wolf Pack3120000010731010000023-12110000084420.3331019290011511396169195010841054591263318696350.00%80100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
30Wolves30200001815-71000000145-120200000410-610.1678162400115113961686950108410545910231195812216.67%60100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
31Wranglers21000010954100000104311100000052341.00091423001151139616849501084105459621910497114.29%50100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
Total82333606223332347-1541171701123167179-1241161905100165168-3870.53033259192300115113961631259501084105459303186850218242487028.23%2176271.43%21590302052.65%1461287250.87%792149852.87%1983138419305811049526
_Since Last GM Reset82333606223332347-1541171701123167179-1241161905100165168-3870.53033259192300115113961631259501084105459303186850218242487028.23%2176271.43%21590302052.65%1461287250.87%792149852.87%1983138419305811049526
_Vs Conference4623200210019819712312110000099113-142311902100998415510.55419834954700115113961618419501084105459169748427410431384331.16%1284465.63%11590302052.65%1461287250.87%792149852.87%1983138419305811049526
_Vs Division2611702100111115-41364000005461-713530210057543270.5191111933040011511396169949501084105459978287175560782532.05%772962.34%01590302052.65%1461287250.87%792149852.87%1983138419305811049526

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8287W233259192331253031868502182400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8233366223332347
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4117171123167179
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4116195100165168
Derniers 10 matchs
WLOTWOTL SOWSOL
350101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2487028.23%2176271.43%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
95010841054591151139616
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
1590302052.65%1461287250.87%792149852.87%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1983138419305811049526


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 - 2022-10-126Marlies2Rocket4ALSommaire du match
3 - 2022-10-1315Bears9Marlies4BLSommaire du match
5 - 2022-10-1530Senators6Marlies7BWSommaire du match
7 - 2022-10-1740Roadrunners5Marlies9BWSommaire du match
10 - 2022-10-2061Stars4Marlies6BWSommaire du match
12 - 2022-10-2278Marlies4Moose3AWXSommaire du match
14 - 2022-10-2496Marlies5Silver Knights6ALSommaire du match
17 - 2022-10-27119Marlies6Barracuda3AWSommaire du match
19 - 2022-10-29130Marlies3Reign6ALSommaire du match
20 - 2022-10-30142Marlies3Gulls7ALSommaire du match
23 - 2022-11-02159Phantoms10Marlies3BLSommaire du match
26 - 2022-11-05180Bruins6Marlies2BLSommaire du match
27 - 2022-11-06191Marlies2Wolves7ALSommaire du match
29 - 2022-11-08201Silver Knights5Marlies6BWXSommaire du match
32 - 2022-11-11221Penguins4Marlies5BWSommaire du match
33 - 2022-11-12230Comets9Marlies3BLSommaire du match
36 - 2022-11-15251Marlies2Penguins3ALSommaire du match
38 - 2022-11-17264Devils6Marlies5BLSommaire du match
40 - 2022-11-19277Americans9Marlies4BLSommaire du match
42 - 2022-11-21295Sound Tigers2Marlies8BWSommaire du match
44 - 2022-11-23309Marlies6Devils2AWSommaire du match
46 - 2022-11-25321Marlies4Wild3AWXSommaire du match
47 - 2022-11-26335Marlies2Penguins6ALSommaire du match
49 - 2022-11-28348Marlies7Griffins5AWSommaire du match
51 - 2022-11-30363Barracuda2Marlies5BWSommaire du match
54 - 2022-12-03385Marlies7Crunch1AWSommaire du match
57 - 2022-12-06409Marlies1Stars6ALSommaire du match
59 - 2022-12-08420Reign3Marlies0BLSommaire du match
61 - 2022-12-10438Wranglers3Marlies4BWXXSommaire du match
64 - 2022-12-13454Gulls4Marlies3BLSommaire du match
66 - 2022-12-15476Marlies0Wolf Pack3ALSommaire du match
68 - 2022-12-17491Marlies1Bears5ALSommaire du match
71 - 2022-12-20513Crunch1Marlies4BWSommaire du match
73 - 2022-12-22525Phantoms5Marlies3BLSommaire du match
78 - 2022-12-27553Marlies4Thunderbirds3AWSommaire du match
80 - 2022-12-29572Marlies5Roadrunners3AWSommaire du match
82 - 2022-12-31582Marlies2Eagles4ALSommaire du match
85 - 2023-01-03602Thunderbirds4Marlies3BLSommaire du match
87 - 2023-01-05615Firebirds3Marlies5BWSommaire du match
89 - 2023-01-07630Griffins1Marlies6BWSommaire du match
90 - 2023-01-08643Marlies10Phantoms4AWSommaire du match
93 - 2023-01-11658Admirals1Marlies3BWSommaire du match
94 - 2023-01-12666Marlies5Griffins6ALSommaire du match
96 - 2023-01-14683Marlies3Bruins5ALSommaire du match
99 - 2023-01-17706Checkers4Marlies2BLSommaire du match
101 - 2023-01-19723Moose4Marlies3BLXSommaire du match
103 - 2023-01-21737Marlies4Rocket5ALSommaire du match
105 - 2023-01-23752Sound Tigers2Marlies6BWSommaire du match
107 - 2023-01-25767Wolf Pack3Marlies2BLSommaire du match
109 - 2023-01-27782Senators2Marlies4BWSommaire du match
111 - 2023-01-29800Bears1Marlies3BWSommaire du match
114 - 2023-02-01806Bruins3Marlies4BWSommaire du match
123 - 2023-02-10829Marlies4Monsters3AWXSommaire du match
124 - 2023-02-11840Monsters4Marlies2BLSommaire du match
128 - 2023-02-15864IceHogs1Marlies2BWXXSommaire du match
131 - 2023-02-18888Rocket2Marlies3BWSommaire du match
132 - 2023-02-19899Marlies0IceHogs8ALSommaire du match
134 - 2023-02-21912Marlies5Americans3AWSommaire du match
137 - 2023-02-24931Wild3Marlies2BLSommaire du match
139 - 2023-02-26952Marlies4Firebirds3AWXSommaire du match
142 - 2023-03-01969Marlies5Condors2AWSommaire du match
143 - 2023-03-02979Marlies5Wranglers2AWSommaire du match
145 - 2023-03-04994Marlies6Comets5AWSommaire du match
148 - 2023-03-071015Marlies3Devils1AWSommaire du match
152 - 2023-03-111043Condors7Marlies6BLXXSommaire du match
154 - 2023-03-131061Americans2Marlies4BWSommaire du match
156 - 2023-03-151077Eagles4Marlies6BWSommaire du match
158 - 2023-03-171092Wolves5Marlies4BLXXSommaire du match
159 - 2023-03-181102Marlies2Senators3ALSommaire du match
162 - 2023-03-211127Marlies7Sound Tigers5AWSommaire du match
164 - 2023-03-231140Marlies6Checkers4AWSommaire du match
166 - 2023-03-251161Marlies2Wolves3ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
167 - 2023-03-261167Marlies4Admirals7ALSommaire du match
170 - 2023-03-291186Checkers9Marlies3BLSommaire du match
173 - 2023-04-011210Marlies4Senators5ALXSommaire du match
174 - 2023-04-021223Griffins6Marlies5BLXXSommaire du match
176 - 2023-04-041230Monsters5Marlies2BLSommaire du match
178 - 2023-04-061246Marlies6Bruins5AWSommaire du match
180 - 2023-04-081263Rocket10Marlies6BLSommaire du match
182 - 2023-04-101279Marlies2Checkers5ALSommaire du match
183 - 2023-04-111289Marlies4Crunch3AWXSommaire du match
185 - 2023-04-131304Marlies8Wolf Pack1AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance80,66840,469
Assistance PCT98.38%98.70%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2955 - 98.49% 79,992$3,279,669$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,703,106$ 2,223,000$ 2,223,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,016$ 2,188,217$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 14,719$ 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
1Adam Cracknell6675212855427670169616331456423295276407.70%293215861023.761661144131045678108164816716360.30%20.971325
2Kristian Vesalainen674332074022722913033742414143152708311.84%237714458021.443266629884914000248654250.56%831.000249
3Jesse Puljujarvi46173402259259941539348314499115023094210.99%113411449624.80405405810445500064856724349.91%3241.0581162
4Vitali Kravtsov588725182773529184176145212370289438.70%211011634419.7632557389843820001622438150.35%1620.91082
5Adam Ruzicka46861359341247714221371408411034170097.99%10258834418.852506649142327082827908558.28%821.0818

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
1Daniil Tarasov6642307829974860.9023.6638285502432332823797801622430.727891
2Kristers Gudlevskis24212480170.9152.6913464231260370762510960.74370
3Michael Leighton138894060.9132.438042101732637650310.66736
4Justin Pogge1516858220.9083.04895134445349242536910.70872
5Adam Huska7866314190.9233.06251771651282166730110.78919

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
Saison régulière
5804030011262762591740279000131501005040132101113126159-3393276465741170689710827460748100098226601002160120112255524.44%2204679.09%4739162445.50%806170247.36%627130747.97%1478685192410021731820
68039270325430726047402211030131641323240171600241143128151003074998061207911710327900886960922238983898722572166530.09%2335377.25%6864178148.51%802171046.90%666133250.00%1628817385720421692827
776312801655223219438141500414103110-738171301241120109118522335057303056768520230635681681230873068217791434531.47%1943780.93%6744141052.77%746150149.70%569108052.69%143364614967861687846
876283002745240251-1138131601233106117-1138151401512134134080240378618130511018224230750852793251980598518891714023.39%2316472.29%4837167350.03%896174051.49%572110451.81%147571615457711592790
980273803327260297-3740161901103137143-640111902224123154-31742604136731006292101275307671023942268989382422091954523.08%2204878.18%6943190449.53%938182451.43%616119651.51%162382215907991642810
1080352502657220208124016120134410710344019130131311310589722034656605040938024650694906829259887059620141883820.21%1983681.82%4899171352.48%896177450.51%506102249.51%153671016118321727860
11802334061124190232-424013160541199105-64010180171391127-367719030249265029668719950500685777245482559317831685633.33%2115872.51%4767147152.14%768161147.67%44597745.55%146061115948381809918
1276253700725211252-4138131600423108119-1138122100302103133-306621134755843033977924930673955840250084966120662116028.44%2396971.13%4859168950.86%824163450.43%510104648.76%147669915317881602785
1380233402795202245-4340121801252105126-214011160154397119-228020231251432050707122730638756847265991059419111564226.92%2325675.86%5781156549.90%910184049.46%499103748.12%146764416468481766878
1480283903316234267-3340112201015115134-1940171702301119133-147323438161532049988324210678886830265384066219151936734.72%1664970.48%2864166951.77%813166048.98%558111949.87%150770216188201715861
15803327042862932642940191001163153131224014170312314013379829349478742074119883249010331229962290391146622522076229.95%1443675.00%31010199050.75%921183350.25%596120549.46%172995115927771568773
167635220426722919138382160223412589363814160203310410229922939862709081667224640833773823201954036613282755921.45%1673678.44%11367258252.94%1178225852.17%591111553.00%190713311738562993505
1780363201524219201184018160120310810264018160032111199128721940262125088745425000831814835229767339114652505220.80%1823282.42%11425270352.72%1311253151.80%650123152.80%1948133918345901056534
18765019030222511569538241002011124804438269010111277651112251454705014098816725600846865837197561228413072405121.25%1322382.58%21447260555.55%1164219153.13%659117656.04%197614011626531984519
198237310633226524223412110042311431123141162102101122130-89726548875323098797923350757794754248874948014931954824.62%1924576.56%21241249649.72%1207264645.62%659133149.51%1934133119586061078535
20823237034242512456411717022121361231341152001212115122-78225144569604097767327220915857934260773871720293036722.11%3187277.36%41542299351.52%1437290049.55%649127350.98%1925131419656291067531
2182363502405289305-1641191901101147148-141171601304142157-15852895338222101071037732000101311111046297387754319722244118.30%2235077.58%11628310652.41%1514299150.62%762140354.31%1989140819345761030522
22823338033322992909412115023001531252841122301032146165-1983299522821040131857730640100110221016308989853920352395020.92%2365277.97%21613309452.13%1595315250.60%703136051.69%1953136119615941040515
2382323805313293304-11411814052111591471241142400102134157-2382293511804331109780631359991110100928308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-238229351180433011097803135099911101009308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-238229351180433011097803135099911101009308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-2382293511804331109780631359991110100928308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-238229351180433011097803135099911101009308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-238229351180433011097803135099911101009308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-238229351180433011097803135099911101009308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-238229351180433011097803135099911101009308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-238229351180433011097803135099911101009308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
202282333606223332347-1541171701123167179-1241161905100165168-38733259192300115113961631259501084105459303186850218242487028.23%2176271.43%21590302052.65%1461287250.87%792149852.87%1983138419305811049526
Total Saison régulière224891294101001057411674287467-39112449640007452445838813601280112441654102653305835473866-31923937428127192014757101335236825252054778162948244952701122828766032324017684531796306141822.49%6214141977.16%81372706909653.94%351366825251.48%182893525051.88%502093144352498201943606317937
Séries éliminatoires
5734000001314-1321000007524130000069-361323360102641950438663193796713920840.00%17476.47%05713043.85%7115147.02%498259.76%121512067108115873
6136700000505007520000030246615000002026-6125083133000111920462013217315752619617832525624.00%361072.22%014030346.20%15934845.69%10823845.38%24913141492166238116
1040400000616-102020000039-62020000037-4068142002311510624049158543710010440.00%8362.50%05911252.68%519951.52%306347.62%824480377739
151367000004346-3624000001619-3743000002727012436811100012131651501761791444941829633135822.86%35974.29%217834152.20%17334749.86%9118948.15%284151272132261131
1640400000512-72020000036-32020000026-40510150003201020313435146293971700.00%15473.33%07013153.44%9016554.55%406561.54%8757107325425
181156000003133-26330000017161523000001417-31031588910010108359093122106335916819435514.29%32681.25%322239156.78%21638056.84%10720053.50%3002112728815777
201055000002833-5422000001314-1633000001519-41028487600012673360123100100349103119258511019.61%431369.77%020740251.49%18038546.75%7716945.56%2301532507913261
Total Séries éliminatoires62253700000176204-28301416000008993-43211210000087111-245017629847431052595621200660734654220173460414181834122.40%1864973.66%5933181051.55%940187550.13%502100649.90%1356802720136181080525

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
1Joel Perrault139122141925476813.24%1628722.14033100030149.22%01.4600
2Justin Abdelkader13712193239296610.61%1931824.53213801101150.84%01.1900
3Andy Wozniewski3299184423377312.33%1754116.932571200012152.27%00.6600
4Kerby Rychel2121214281939613.28%739118.66022910110038.46%00.7100
5Jeff Taffe1359140622214710.64%1126220.16022500010053.40%01.0700

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
1Justin Pogge136700.9043.977410049513262000.0000
2Kristers Gudlevskis155720.9133.048896145515196100.0000
3Anders Lindback105410.9053.2361420333490100.0000
4Michael Leighton104410.8953.0754800282660010.0000
5Justin Pogge73400.9272.0042101141930000.0000