Marlies
GP: 60 | W: 22 | L: 32 | OTL: 6 | P: 50
GF: 183 | GA: 222 | PP%: 18.88% | PK%: 77.83%
DG: Guillaume Jacob | Morale : 75 | Moyenne d’équipe : 60
Prochain matchs #971 vs Barracuda
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Centre de jeu
Marlies
22-32-6, 50pts
1
FINAL
3 Wolf Pack
35-17-8, 78pts
Team Stats
W1StreakL1
14-14-3Home Record18-9-3
8-18-3Away Record17-8-5
4-6-0Last 10 Games5-5-0
3.05Buts par match 3.67
3.70Buts contre par match 3.10
18.88%Pourcentage en avantage numérique20.71%
77.83%Pourcentage en désavantage numérique75.51%
Marlies
22-32-6, 50pts
4
FINAL
3 Penguins
30-25-8, 68pts
Team Stats
W1StreakL1
14-14-3Home Record19-10-3
8-18-3Away Record11-15-5
4-6-0Last 10 Games6-4-0
3.05Buts par match 3.30
3.70Buts contre par match 3.46
18.88%Pourcentage en avantage numérique28.30%
77.83%Pourcentage en désavantage numérique74.34%
Barracuda
24-33-4, 52pts
2025-03-03
Marlies
22-32-6, 50pts
Statistiques d’équipe
L2SéquenceW1
14-12-3Fiche domicile14-14-3
10-21-1Fiche visiteur8-18-3
2-6-210 derniers matchs4-6-0
3.18Buts par match 3.05
3.66Buts contre par match 3.70
24.18%Pourcentage en avantage numérique18.88%
75.24%Pourcentage en désavantage numérique77.83%
Marlies
22-32-6, 50pts
2025-03-05
Silver Knights
30-24-6, 66pts
Statistiques d’équipe
W1SéquenceW1
14-14-3Fiche domicile15-13-3
8-18-3Fiche visiteur15-11-3
4-6-010 derniers matchs5-3-2
3.05Buts par match 3.63
3.70Buts contre par match 3.32
18.88%Pourcentage en avantage numérique21.61%
77.83%Pourcentage en désavantage numérique79.44%
Marlies
22-32-6, 50pts
2025-03-08
Eagles
28-32-1, 57pts
Statistiques d’équipe
W1SéquenceL1
14-14-3Fiche domicile13-16-1
8-18-3Fiche visiteur15-16-0
4-6-010 derniers matchs3-7-0
3.05Buts par match 3.62
3.70Buts contre par match 3.72
18.88%Pourcentage en avantage numérique21.63%
77.83%Pourcentage en désavantage numérique76.19%
Meneurs d'équipe
Victoires
Julian Junca
21
Pourcentage d’arrêts
Olof Lindbom
0.919

Statistiques d’équipe
Buts pour
183
3.05 GFG
Tirs pour
1955
32.58 Avg
Pourcentage en avantage numérique
18.9%
37 GF
Début de zone offensive
38.9%
Buts contre
222
3.70 GAA
Tirs contre
2180
36.33 Avg
Pourcentage en désavantage numérique
77.8%
47 GA
Début de la zone défensive
42.5%
Information d’équipe

Directeur généralGuillaume Jacob
EntraîneurBob Woods
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,964
Billets de saison300


Information formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 80
Espoirs53


Historique d'équipe

Saison actuelle22-32-6 (50PTS)
Historique852-697-169 (0.496%)
Apparitions séries éliminatoires 8
Historique séries éliminatoires (W-L)41-45
Stanley Cup1


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 moyen
1Adam Ruzicka (R)0XXX100.00623893678977766677696162626567075650252775,000$
2Vasily Ponomarev (R)0X100.00573786676678806573666462676264075640221950,000$
3Austin Poganski0X100.00684081567778855762585960556870075610281750,000$
4Andre Lee0X100.00824282569171775755535861596466075610242800,000$
5Reid Schaefer (R)0X100.00864280589579715754565561586163075610213950,000$
6Cameron Wright0X100.00673981597683685852545753566668075600261750,000$
7Viktor Neuchev (R)0X100.00643795587379705662595755586163075600203950,000$
8Anthony Vincent0X100.00634269577279655659555458526769075590272750,000$
9Brennan Saulnier0X100.00706551586867725761565553547173075590301750,000$
10Bryce Kindopp (R)0X100.00653892577469795659525558546567075590251750,000$
11Roni Hirvonen (R)0X100.00573693596679665863555754596265075590223950,000$
12Roland McKeown0X100.00663975597679855630585561476870075610281750,000$
13Matthew Robertson (R)0X100.00774278588776835730595358466365075610231950,000$
14Chris Harpur0X100.00754272568466625430575058456870075590283775,000$
15Cameron Gaunce0X100.00674270587667775430555257457476075590343775,000$
16Jake Massie (R)0X100.00663888577565725530585356466769075590271750,000$
17Brenden Miller0X100.00705259557965755330545256457072075580303775,000$
18Colin Felix0X100.00795752557862635330525054456567075570253775,000$
Rayé
1Jacob Lucchini0X100.00633792657084876470626361656971075640292775,000$
2Anthony Angello57XX100.00824468589169805760565559546870075610281750,000$
3Corey Andonovski0X100.00674366617674835762605556586567075600253800,000$
4Jacob Doty (R)0X100.00744564578366715660545558567173075600313950,000$
5Alex Gallant0XX100.00778652537066775155525354507274075580311750,000$
6Jack Ahcan (R)0X100.00563883636577865830645453476769075610271750,000$
7Ethan Prow6X100.00603695586970835730615355477274075600312750,000$
8Ethan Frisch0X100.00623879587269715730595153456466075580231750,000$
MOYENNE D’ÉQUIPE100.0069447759777376574957555753676907560
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 moyen
1Julian Junca100.0066706790656466656466656775075610261750,000$
2Olof Lindbom (R)100.0063716774626163626163626471075580243950,000$
Rayé
MOYENNE D’ÉQUIPE100.006571678264636564636564667307560
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Woods66737460827766CAN562850,000$


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
1Vasily PonomarevMarlies (TOR)C60413273940192022496618516.47%26131621.95125175616030392239252.76%146900001.1138000913
2Adam RuzickaMarlies (TOR)C/LW/RW47183149-122015202212581558.49%23112023.8447114713003351691054.78%173600010.8736000322
3Austin PoganskiMarlies (TOR)RW60122941-181205982185401026.49%14119019.8441014421720001640248.94%9400000.6902000123
4Roland McKeownMarlies (TOR)D5972936-92801047711223726.25%96141123.924913631690002169110.00%000000.5100000022
5Reid SchaeferMarlies (TOR)LW58102333-574101839915140906.62%13111019.15145211451011460046.09%24300000.5904011013
6Cameron WrightMarlies (TOR)RW60111930-9604362105279110.48%784214.040117470000221039.18%9700000.7111000012
7Andre LeeMarlies (TOR)LW59161228-916010058144349211.11%19105117.82336341330000422041.12%10700000.5300000201
8Anthony AngelloMarlies (TOR)C/RW50121527-43001206113044769.23%1292118.42246291370002321140.00%10000000.5912000131
9Cameron GaunceMarlies (TOR)D5661925-22801026151203911.76%71109819.62134181360220121010.00%000000.4600000012
10Matthew RobertsonMarlies (TOR)D5961521-28815164627216568.33%79128921.85325421520001145000.00%000000.3300010020
11Ethan ProwMarlies (TOR)D4521820912031444810304.17%4489319.8706618920001106000.00%000000.4500000000
12Jacob DotyMarlies (TOR)C4551015-1528075686519487.69%1861513.68011227000082048.63%47500000.4900000300
13Jacob LucchiniMarlies (TOR)C234101410011646128576.56%738316.671015380000390153.85%39000000.7302000100
14Brenden MillerMarlies (TOR)D373912-23408531274811.11%4757915.6500014000039000.00%000000.4100000021
15Roni HirvonenMarlies (TOR)C406612-60065454244711.11%43709.2600000000030048.04%43300000.6500000001
16Viktor NeuchevMarlies (TOR)LW326612-320193944133013.64%238612.0900004000010058.06%3100000.6200000000
17Jake MassieMarlies (TOR)D2411011-5202415198145.26%2442917.89134840000041000.00%000000.5100000000
18Jack AhcanMarlies (TOR)D22189-5201015272411144.17%2949722.630111141000056000.00%000000.3600101001
19Corey AndonovskiMarlies (TOR)RW30257-414028343812255.26%534111.3900002000000054.55%7700000.4100000001
20Brennan SaulnierMarlies (TOR)LW60167-1531571306516491.54%45078.45000000000120046.15%2600000.2800001000
21Bryce KindoppMarlies (TOR)RW36527-4209173381715.15%32336.4900009000192135.05%9700000.6000000000
22Anthony VincentMarlies (TOR)RW5933624011223712268.11%52504.24000370000280046.15%5200000.4800000000
23Ethan FrischMarlies (TOR)D220550809216280.00%2733615.310001300008000.00%000000.3000000000
24Chris HarpurMarlies (TOR)D26134-460421371614.29%1931712.20101427000019000.00%000000.2500000000
25Colin FelixMarlies (TOR)D13123-510023640525.00%71158.900001200007000.00%000000.5200000000
26Alex GallantMarlies (TOR)C/LW22022110036612470.00%41577.1500000000070045.45%1100000.2500000000
Statistiques d’équipe totales ou en moyenne1104180329509-1424643014041457195554013499.21%6091776816.09375996413168645923142919951.31%543800010.57825123201723
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
1Julian JuncaMarlies (TOR)60213160.8993.6333702020420190100.58324600251
2Olof LindbomMarlies (TOR)81100.9192.8327620131610001.0002060000
Statistiques d’équipe totales ou en moyenne68223260.9003.5736474021721800100.615266060251


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 RuzickaMarlies (TOR)C/LW/RW251999-05-11Yes215 Lbs6 ft4NoNoNo2Pro & Farm775,000$181,888$775,000$181,888$0$0$No775,000$Lien / Lien NHL
Alex GallantMarlies (TOR)C/LW311992-12-08No177 Lbs6 ft0NoNoNo1Pro & Farm750,000$176,020$750,000$176,020$0$0$NoLien / Lien NHL
Andre LeeMarlies (TOR)LW242000-07-26No206 Lbs6 ft5NoNoNo2Pro & Farm800,000$187,755$800,000$187,755$0$0$No800,000$Lien / Lien NHL
Anthony AngelloMarlies (TOR)C/RW281996-03-06No210 Lbs6 ft5NoNoNo1Pro & Farm750,000$176,020$750,000$176,020$0$0$NoLien / Lien NHL
Anthony VincentMarlies (TOR)RW271997-08-12No190 Lbs6 ft0NoNoNo2Pro & Farm750,000$176,020$750,000$176,020$0$0$No750,000$Lien / Lien NHL
Austin PoganskiMarlies (TOR)RW281996-02-16No198 Lbs6 ft1NoNoNo1Pro & Farm750,000$176,020$750,000$176,020$0$0$NoLien / Lien NHL
Brenden MillerMarlies (TOR)D301994-03-29No210 Lbs6 ft1NoNoNo3Pro & Farm775,000$181,888$775,000$181,888$0$0$No775,000$775,000$Lien / Lien NHL
Brennan SaulnierMarlies (TOR)LW301993-12-29No170 Lbs6 ft0NoNoNo1Pro & Farm750,000$176,020$750,000$176,020$0$0$NoLien / Lien NHL
Bryce KindoppMarlies (TOR)RW251999-06-14Yes185 Lbs6 ft1NoNoNo1Pro & Farm750,000$176,020$750,000$176,020$0$0$NoLien / Lien NHL
Cameron GaunceMarlies (TOR)D341990-03-19No194 Lbs6 ft1NoNoNo3Pro & Farm775,000$181,888$775,000$181,888$0$0$No775,000$775,000$Lien / Lien NHL
Cameron WrightMarlies (TOR)RW261998-08-11No194 Lbs6 ft1NoNoNo1Pro & Farm750,000$176,020$750,000$176,020$0$0$NoLien
Chris HarpurMarlies (TOR)D281996-09-13No201 Lbs6 ft3NoNoNo3Pro & Farm775,000$181,888$775,000$181,888$0$0$No775,000$775,000$Lien
Colin FelixMarlies (TOR)D251999-01-07No203 Lbs6 ft1NoNoNo3Pro & Farm775,000$181,888$775,000$181,888$0$0$No775,000$775,000$Lien
Corey AndonovskiMarlies (TOR)RW251999-03-26No195 Lbs6 ft1NoNoNo3Pro & Farm800,000$187,755$800,000$187,755$0$0$No800,000$800,000$Lien / Lien NHL
Ethan FrischMarlies (TOR)D232000-10-29No192 Lbs5 ft11NoNoNo1Pro & Farm750,000$176,020$750,000$176,020$0$0$NoLien
Ethan ProwMarlies (TOR)D311992-11-17No182 Lbs5 ft11NoNoNo2Pro & Farm750,000$176,020$750,000$176,020$0$0$No750,000$Lien / Lien NHL
Jack AhcanMarlies (TOR)D271997-05-18Yes180 Lbs5 ft9NoNoNo1Pro & Farm750,000$176,020$750,000$176,020$0$0$NoLien / Lien NHL
Jacob DotyMarlies (TOR)C311993-06-19Yes212 Lbs6 ft2NoNoNo3Pro & Farm950,000$222,959$950,000$222,959$0$0$No950,000$950,000$Lien
Jacob LucchiniMarlies (TOR)C291995-05-09No180 Lbs6 ft0NoNoNo2Pro & Farm775,000$181,888$775,000$181,888$0$0$No775,000$Lien / Lien NHL
Jake MassieMarlies (TOR)D271997-01-27Yes190 Lbs6 ft1NoNoNo1Pro & Farm750,000$176,020$750,000$176,020$0$0$NoLien / Lien NHL
Julian JuncaMarlies (TOR)G261998-02-15No203 Lbs6 ft5NoNoNo1Pro & Farm750,000$176,020$750,000$176,020$0$0$NoLien
Matthew RobertsonMarlies (TOR)D232001-09-01Yes201 Lbs6 ft4NoNoNo1Pro & Farm950,000$222,959$950,000$222,959$0$0$NoLien / Lien NHL
Olof LindbomMarlies (TOR)G242000-07-23Yes185 Lbs6 ft1NoNoNo3Pro & Farm950,000$222,959$950,000$222,959$0$0$No950,000$950,000$
Reid SchaeferMarlies (TOR)LW212003-09-21Yes226 Lbs6 ft5NoNoNo3Pro & Farm950,000$222,959$950,000$222,959$0$0$No950,000$950,000$
Roland McKeownMarlies (TOR)D281996-01-20No195 Lbs6 ft1NoNoNo1Pro & Farm750,000$176,020$750,000$176,020$0$0$NoLien / Lien NHL
Roni HirvonenMarlies (TOR)C222002-01-10Yes178 Lbs5 ft10NoNoNo3Pro & Farm950,000$222,959$950,000$222,959$0$0$No950,000$950,000$
Vasily PonomarevMarlies (TOR)C222002-03-13Yes180 Lbs5 ft10NoNoNo1Pro & Farm950,000$222,959$950,000$222,959$0$0$NoLien / Lien NHL
Viktor NeuchevMarlies (TOR)LW202003-10-25Yes165 Lbs6 ft2NoNoNo3Pro & Farm950,000$222,959$950,000$222,959$0$0$No950,000$950,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2826.43193 Lbs6 ft11.89808,929$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andre LeeAdam RuzickaAustin Poganski40122
2Reid SchaeferVasily PonomarevCameron Wright30122
3Viktor NeuchevRoni HirvonenBryce Kindopp20122
4Brennan SaulnierAdam RuzickaAnthony Vincent10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland McKeownMatthew Robertson40122
2Jake MassieCameron Gaunce30122
3Chris HarpurBrenden Miller20122
4Colin FelixRoland McKeown10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andre LeeAdam RuzickaAustin Poganski60122
2Reid SchaeferVasily PonomarevCameron Wright40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland McKeownMatthew Robertson60122
2Jake MassieCameron Gaunce40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam RuzickaVasily Ponomarev60122
2Andre LeeAustin Poganski40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland McKeownMatthew Robertson60122
2Jake MassieCameron Gaunce40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Ruzicka60122Roland McKeownMatthew Robertson60122
2Vasily Ponomarev40122Jake MassieCameron Gaunce40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adam RuzickaVasily Ponomarev60122
2Andre LeeAustin Poganski40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland McKeownMatthew Robertson60122
2Jake MassieCameron Gaunce40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andre LeeAdam RuzickaAustin PoganskiRoland McKeownMatthew Robertson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andre LeeAdam RuzickaAustin PoganskiRoland McKeownMatthew Robertson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Viktor Neuchev, Roni Hirvonen, Bryce KindoppViktor Neuchev, Roni HirvonenBryce Kindopp
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Chris Harpur, Brenden Miller, Colin FelixChris HarpurBrenden Miller, Colin Felix
Tirs de pénalité
Adam Ruzicka, Vasily Ponomarev, Andre Lee, Austin Poganski, Reid Schaefer
Gardien
#1 : Julian Junca, #2 : Olof Lindbom
Lignes d’attaque personnalisées en prolongation
Adam Ruzicka, Vasily Ponomarev, Andre Lee, Austin Poganski, Reid Schaefer, Cameron Wright, Cameron Wright, Viktor Neuchev, Roni Hirvonen, Bryce Kindopp, Brennan Saulnier
Lignes de défense personnalisées en prolongation
Roland McKeown, Matthew Robertson, Jake Massie, Cameron Gaunce, Chris Harpur


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
1Admirals1010000035-21010000035-20000000000000.00036900576454133259970461265355632000.00%3166.67%01082208451.92%1200227352.79%50899750.95%13499071513463787382
2Americans20101000770100010004311010000034-120.5007121900576454136259970461265772413386116.67%4175.00%01082208451.92%1200227352.79%50899750.95%13499071513463787382
3Bears3300000015872200000010461100000054161.0001528430057645413111599704612658740286112216.67%13284.62%01082208451.92%1200227352.79%50899750.95%13499071513463787382
4Bruins402011001013-3201010007702010010036-330.37510192900576454131185997046126514638349919210.53%16381.25%01082208451.92%1200227352.79%50899750.95%13499071513463787382
5Checkers1010000024-2000000000001010000024-200.000235005764541331599704612653210221200.00%10100.00%01082208451.92%1200227352.79%50899750.95%13499071513463787382
6Comets211000008441010000023-11100000061520.500816240057645413585997046126563178439111.11%4175.00%01082208451.92%1200227352.79%50899750.95%13499071513463787382
7Condors21000001101001000000145-11100000065130.75010182800576454137159970461265823824389555.56%12283.33%01082208451.92%1200227352.79%50899750.95%13499071513463787382
8Crunch3120000068-2211000006601010000002-220.33361218005764541376599704612651073226761119.09%12375.00%01082208451.92%1200227352.79%50899750.95%13499071513463787382
9Devils30300000813-51010000023-120200000610-400.000814220057645413108599704612651073828708225.00%12466.67%01082208451.92%1200227352.79%50899750.95%13499071513463787382
10Firebirds22000000972110000004311100000054141.0009152400576454135959970461265661812425120.00%60100.00%01082208451.92%1200227352.79%50899750.95%13499071513463787382
11Griffins30200001711-41010000034-12010000147-310.167714210057645413102599704612651013324606233.33%11190.91%11082208451.92%1200227352.79%50899750.95%13499071513463787382
12Gulls1010000012-11010000012-10000000000000.0001230057645413315997046126533111715300.00%6266.67%01082208451.92%1200227352.79%50899750.95%13499071513463787382
13IceHogs2010000179-21000000145-11010000034-110.250713200057645413805997046126586151671600.00%8362.50%11082208451.92%1200227352.79%50899750.95%13499071513463787382
14Monsters20200000611-51010000047-31010000024-200.0006111700576454136959970461265701817425120.00%6350.00%01082208451.92%1200227352.79%50899750.95%13499071513463787382
15Moose20100001410-61000000123-11010000027-510.250481200576454136959970461265851916565120.00%8362.50%01082208451.92%1200227352.79%50899750.95%13499071513463787382
16Penguins3110001010100100000103212110000078-140.66710182800576454137959970461265116324363600.00%18572.22%01082208451.92%1200227352.79%50899750.95%13499071513463787382
17Phantoms21001000752110000003211000100043141.00071118005764541358599704612657624104410220.00%50100.00%01082208451.92%1200227352.79%50899750.95%13499071513463787382
18Reign11000000413110000004130000000000021.000471100576454132559970461265286816300.00%40100.00%01082208451.92%1200227352.79%50899750.95%13499071513463787382
19Roadrunners1010000036-31010000036-30000000000000.0003470057645413325997046126540512322150.00%6266.67%01082208451.92%1200227352.79%50899750.95%13499071513463787382
20Rocket30101010990100010003212010001067-140.6679162500576454131185997046126510639188113538.46%9277.78%01082208451.92%1200227352.79%50899750.95%13499071513463787382
21Senators210000101073110000004221000001065141.0001018280057645413715997046126570198615120.00%4250.00%01082208451.92%1200227352.79%50899750.95%13499071513463787382
22Silver Knights1010000015-41010000015-40000000000000.000112005764541327599704612654381022300.00%5180.00%11082208451.92%1200227352.79%50899750.95%13499071513463787382
23Sound Tigers31100001911-22110000067-11000000134-130.500915240057645413965997046126511925206010330.00%10190.00%01082208451.92%1200227352.79%50899750.95%13499071513463787382
24Stars21100000871110000006421010000023-120.500816240057645413715997046126576191144500.00%3166.67%01082208451.92%1200227352.79%50899750.95%13499071513463787382
25Thunderbirds20101000550100010004311010000012-120.500581300576454136859970461265591345211327.27%20100.00%01082208451.92%1200227352.79%50899750.95%13499071513463787382
26Wild2020000058-31010000023-11010000035-200.000581300576454136159970461265661621476116.67%80100.00%11082208451.92%1200227352.79%50899750.95%13499071513463787382
27Wolf Pack2020000038-51010000025-31010000013-200.0003470057645413695997046126573221250700.00%60100.00%01082208451.92%1200227352.79%50899750.95%13499071513463787382
28Wolves20200000411-71010000026-41010000025-300.00048120057645413775997046126576118468225.00%4175.00%01082208451.92%1200227352.79%50899750.95%13499071513463787382
29Wranglers1010000027-5000000000001010000027-500.0002460057645413265997046126555141222100.00%6350.00%01082208451.92%1200227352.79%50899750.95%13499071513463787382
Total60143205135183222-39319140401399108-9295180112284114-30500.4171833295120057645413195559970461265218060946814041963718.88%2124777.83%41082208451.92%1200227352.79%50899750.95%13499071513463787382
_Since Last GM Reset60143205135183222-39319140401399108-9295180112284114-30500.4171833295120057645413195559970461265218060946814041963718.88%2124777.83%41082208451.92%1200227352.79%50899750.95%13499071513463787382
_Vs Conference3882004132113136-231868030105960-120212011225476-22330.434113203316005764541312455997046126513634052918721282418.75%1312878.63%11082208451.92%1200227352.79%50899750.95%13499071513463787382
_Vs Division1829031215159-882303000272431006001212435-11160.4445194145005764541357859970461265639195125436621219.35%571278.95%11082208451.92%1200227352.79%50899750.95%13499071513463787382

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6050W118332951219552180609468140400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6014325135183222
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31914401399108
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
29518112284114
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1963718.88%2124777.83%4
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
5997046126557645413
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
1082208451.92%1200227352.79%50899750.95%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13499071513463787382


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
6 - 2024-10-096Marlies4Rocket3AWXXSommaire du match
7 - 2024-10-1015Marlies2Devils5ALSommaire du match
9 - 2024-10-1226Penguins2Marlies3BWXXSommaire du match
13 - 2024-10-1658Reign1Marlies4BWSommaire du match
16 - 2024-10-1979Wolf Pack5Marlies2BLSommaire du match
18 - 2024-10-2191Crunch1Marlies4BWSommaire du match
19 - 2024-10-2297Marlies2Monsters4ALSommaire du match
21 - 2024-10-24110Thunderbirds3Marlies4BWXSommaire du match
23 - 2024-10-26125Marlies3Bruins4ALXSommaire du match
25 - 2024-10-28143Marlies2Moose7ALSommaire du match
28 - 2024-10-31161Firebirds3Marlies4BWSommaire du match
30 - 2024-11-02181Marlies1Thunderbirds2ALSommaire du match
31 - 2024-11-03189Marlies3Wild5ALSommaire du match
33 - 2024-11-05195Bruins4Marlies3BLSommaire du match
36 - 2024-11-08220Griffins4Marlies3BLSommaire du match
37 - 2024-11-09227Rocket2Marlies3BWXSommaire du match
40 - 2024-11-12245Senators2Marlies4BWSommaire du match
41 - 2024-11-13253Marlies5Bears4AWSommaire du match
44 - 2024-11-16274Condors5Marlies4BLXXSommaire du match
48 - 2024-11-20301Silver Knights5Marlies1BLSommaire du match
52 - 2024-11-24333Roadrunners6Marlies3BLSommaire du match
55 - 2024-11-27352Marlies2Checkers4ALSommaire du match
58 - 2024-11-30378Marlies0Crunch2ALSommaire du match
60 - 2024-12-02394IceHogs5Marlies4BLXXSommaire du match
62 - 2024-12-04406Admirals5Marlies3BLSommaire du match
64 - 2024-12-06419Bears3Marlies5BWSommaire du match
65 - 2024-12-07433Marlies3Penguins5ALSommaire du match
68 - 2024-12-10446Marlies4Devils5ALSommaire du match
70 - 2024-12-12459Gulls2Marlies1BLSommaire du match
72 - 2024-12-14479Marlies4Griffins5ALXXSommaire du match
73 - 2024-12-15490Americans3Marlies4BWXSommaire du match
76 - 2024-12-18508Marlies2Stars3ALSommaire du match
78 - 2024-12-20521Marlies3Americans4ALSommaire du match
79 - 2024-12-21532Sound Tigers3Marlies5BWSommaire du match
81 - 2024-12-23546Moose3Marlies2BLXXSommaire du match
85 - 2024-12-27559Marlies0Griffins2ALSommaire du match
86 - 2024-12-28571Bears1Marlies5BWSommaire du match
89 - 2024-12-31590Sound Tigers4Marlies1BLSommaire du match
91 - 2025-01-02607Marlies3Sound Tigers4ALXXSommaire du match
93 - 2025-01-04623Bruins3Marlies4BWXSommaire du match
94 - 2025-01-05635Phantoms2Marlies3BWSommaire du match
96 - 2025-01-07644Marlies4Phantoms3AWXSommaire du match
98 - 2025-01-09659Marlies2Wolves5ALSommaire du match
100 - 2025-01-11672Comets3Marlies2BLSommaire du match
103 - 2025-01-14693Stars4Marlies6BWSommaire du match
105 - 2025-01-16707Devils3Marlies2BLSommaire du match
107 - 2025-01-18726Marlies2Rocket4ALSommaire du match
109 - 2025-01-20744Crunch5Marlies2BLSommaire du match
111 - 2025-01-22757Monsters7Marlies4BLSommaire du match
114 - 2025-01-25780Marlies6Senators5AWXXSommaire du match
118 - 2025-01-29807Wild3Marlies2BLSommaire du match
121 - 2025-02-01833Marlies6Condors5AWSommaire du match
124 - 2025-02-04853Marlies2Wranglers7ALSommaire du match
126 - 2025-02-06869Marlies5Firebirds4AWSommaire du match
128 - 2025-02-08884Marlies6Comets1AWSommaire du match
142 - 2025-02-22900Wolves6Marlies2BLSommaire du match
143 - 2025-02-23912Marlies3IceHogs4ALSommaire du match
145 - 2025-02-25918Marlies0Bruins2ALSommaire du match
148 - 2025-02-28945Marlies1Wolf Pack3ALSommaire du match
150 - 2025-03-02961Marlies4Penguins3AWSommaire du match
151 - 2025-03-03971Barracuda-Marlies-
153 - 2025-03-05985Marlies-Silver Knights-
156 - 2025-03-081007Marlies-Eagles-
158 - 2025-03-101024Marlies-Roadrunners-
161 - 2025-03-131040Checkers-Marlies-
163 - 2025-03-151059Senators-Marlies-
165 - 2025-03-171076Wranglers-Marlies-
167 - 2025-03-191087Eagles-Marlies-
168 - 2025-03-201091Marlies-Wolf Pack-
170 - 2025-03-221114Marlies-Admirals-
173 - 2025-03-251130Phantoms-Marlies-
175 - 2025-03-271152Marlies-Barracuda-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
177 - 2025-03-291165Marlies-Reign-
178 - 2025-03-301176Marlies-Gulls-
181 - 2025-04-021194Checkers-Marlies-
184 - 2025-04-051216Monsters-Marlies-
187 - 2025-04-081237Marlies-Checkers-
188 - 2025-04-091245Marlies-Crunch-
191 - 2025-04-121269Rocket-Marlies-
192 - 2025-04-131279Marlies-Wolves-
194 - 2025-04-151292Marlies-Americans-
196 - 2025-04-171308Griffins-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4025
Assistance41,28819,609
Assistance PCT66.59%63.25%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-21 1964 - 65.48% 86,361$2,677,180$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,326,323$ 2,265,000$ 2,265,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,666,987$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-1,813,574$ 46 15,893$ 731,078$




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
1Chad Rau507148212360-44507071055127011.65%250939218.532767941246064320650.58%40.77531
2Jerome Samson499164188352-39153755823158410.35%243864917.33425810016532531261241.96%50.81834
3Emile Poirier6041531903431062701165607140610.88%1061022016.92253257205011921746.78%30.6749
4Adam Ruzicka325131207338519938492713539.68%106665720.492236581771672117556.42%51.02618
5Roland McKeown474712142852332284757766210.73%7131002921.16315384323145910125.00%00.5700

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
1Kristers Gudlevskis24212480170.9152.6913464231260370762510960.74370
2Michael Leighton138894060.9132.438042101732637650310.66736
3Justin Pogge1516858220.9083.04895134445349242536910.70872
4Adam Huska146636190.9023.65792416548249130110.78919
5Alex Lyon93563050.9173.0254716027533160220.66718

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
202282333606223332347-1541171701123167179-1241161905100165168-38733259192300115113961631259501084105459303186850218242487028.23%2176271.43%21590302052.65%1461287250.87%792149852.87%1983138419305811049526
20238239280544231025753412015031201561381841191302322154119351023105518612012087941230641022102599045305888251920332224520.27%2354780.00%41572303951.73%1707314454.29%741137453.93%1898130620026001065525
202460143205135183222-39319140401399108-9295180112284114-30501833295120057645413195559970461265218060946814041963718.88%2124777.83%41082208451.92%1200227352.79%50899750.95%13499071513463787382
Total Saison régulière173470969707086739955775514638683813170413739532864267119386632838002949344627132843-130188955779511150883577402165219141513577553570181211983415847571371778714039409364716114024.17%4653107376.94%73256044932351.91%247554888550.64%136182656551.26%376572249140422166252971614780
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
202324168000008590-511101000004733141367000003857-19328515223700272825580526325727015861228196606621829.03%872670.11%146486553.64%47491751.69%22841654.81%548372595182316152
Total Séries éliminatoires86414500000261294-33412417000001361261045172800000125168-4382261450711312780846129252639171004669306296280020242455924.08%2737572.53%61397267552.22%1414279250.64%730142251.34%19041175779638001396678

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
1Adam Cracknell241321344159211210112.87%961725.733362010133055.61%01.1000
2Adam Ruzicka241414287015397917.72%354922.883361500024052.86%01.0200
3Vasily Ponomarev24914230611598710.34%1140316.80123400003053.72%11.1400
4Vitali Kravtsov24913224214448410.71%846719.471341200002062.96%00.9400
5Joel Perrault139122141925476813.24%1628722.14033100030149.22%01.4600

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
1Alex Lyon2416800.9013.52138040818200100.0000
2Justin Pogge136700.9043.977410049513262000.0000
3Kristers Gudlevskis155720.9133.048896145515196100.0000
4Anders Lindback105410.9053.2361420333490100.0000
5Michael Leighton104410.8953.0754800282660010.0000