Marlies
GP: 82 | W: 46 | L: 32 | OTL: 4 | P: 96
GF: 321 | GA: 274 | PP%: 22.78% | PK%: 82.40%
DG: Guillaume Jacob | Morale : 75 | Moyenne d’équipe : 61
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Stars
43-31-8, 94pts
2
FINAL
3 Marlies
46-32-4, 96pts
Team Stats
L4StreakW3
21-16-4Home Record22-17-2
22-15-4Away Record24-15-2
5-4-1Last 10 Games6-4-0
3.84Buts par match 3.91
3.67Buts contre par match 3.34
24.33%Pourcentage en avantage numérique22.78%
74.32%Pourcentage en désavantage numérique82.40%
Marlies
46-32-4, 96pts
3
FINAL
2 Senators
48-29-5, 101pts
Team Stats
W3StreakL2
22-17-2Home Record25-13-3
24-15-2Away Record23-16-2
6-4-0Last 10 Games7-2-1
3.91Buts par match 3.94
3.34Buts contre par match 3.07
22.78%Pourcentage en avantage numérique23.61%
82.40%Pourcentage en désavantage numérique78.98%
Meneurs d'équipe
Magnus HellbergVictoires
Magnus Hellberg
28
Jack CampbellPourcentage d’arrêts
Jack Campbell
0.922

Statistiques d’équipe
Buts pour
321
3.91 GFG
Tirs pour
3159
38.52 Avg
Pourcentage en avantage numérique
22.8%
59 GF
Début de zone offensive
40.4%
Buts contre
274
3.34 GAA
Tirs contre
3133
38.21 Avg
Pourcentage en désavantage numérique
82.4%
44 GA
Début de la zone défensive
41.7%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,084
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 80
Espoirs57


Historique d'équipe

Saison actuelle46-32-4 (96PTS)
Historique80-74-18 (0.465%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
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 moyen
1Chris Wagner0XXX100.00754374637379806265606463627677075640343800,000$
2Reid Schaefer (R)0X100.00865474609580756159626064616364075640222950,000$
3Andre Lee0X100.00794279629175796055595861576566075630251800,000$
4Vasily Ponomarev (R)0X100.00593782676978806573636062676364075630232800,000$
5Matt Savoie (R)0X100.00603786666782746573645960626163075620213950,000$
6Viktor Neuchev (R)0X100.00643795607386775964615758626364075610212950,000$
7Luke Tuch (R)0X100.00764173588575685652555459566365075600233950,000$
8Luke Philp0XX100.00583790586774735666595754587072075600293800,000$
9Anthony Vincent0X100.00634266587280765759555654586770075590281750,000$
10Corey Andonovski0X100.00674267577671815459555658546668075590262800,000$
11Jordan Martel0X100.00673794577681615552505653586769075590273800,000$
12Michael Callahan0X100.00684085628180855830605761496668075620263800,000$
13Ethan Prow6X100.00603794596968745730585354467375075600321750,000$
14Ty Nelson (R)0X100.00553979646878736330615456476163075600213950,000$
15Will Zmolek0X100.00753895578463645630555258456668075600263800,000$
16Chris Harpur0X100.00753981558464655430575056456971075590292775,000$
Rayé
1Roni Hirvonen (R)0X74.69573789616678775962585856606365075600232950,000$
2Marc Johnstone98X100.00683877587174785659535554586971075590293800,000$
3Jacob Doty0X100.00744565558364805260535456527274075590322950,000$
4Travis Howe0X100.00776952548660755351525056507173075580313800,000$
5Tate Singleton0X100.00584359566576635562545153576769075560273800,000$
6Alexander Petrovic0X100.00827174609280855830595762457475075630333800,000$
7Matthew Robertson (R)0X100.00764274618985845930605662496466075620242800,000$
8Colin Felix0X100.00795759557863705230535154456668075580262775,000$
MOYENNE D’ÉQUIPE98.9569447859787575585057565854676907560
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
1Magnus Hellberg100.0076847896757476757476757488075680343999,999$
2Jack Campbell100.0074817683737274737274737587075660333999,999$
Rayé
MOYENNE D’ÉQUIPE100.007583779074737574737574758807567
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Woods63656869868061CAN571850,000$


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
1Reid SchaeferMarlies (TOR)LW783255872778103142123761042728.51%57189324.28613196119700072264251.44%73100020.9204101686
2Matt SavoieMarlies (TOR)C6536448017140282523208824211.25%34139121.4197163111400061475156.58%163300001.1502000363
3Roni HirvonenMarlies (TOR)C823632680180601972938822812.29%20135616.54639441111011324252.10%166400051.0002000912
4Michael CallahanMarlies (TOR)D551652687535134101128396412.50%98135124.5851419601440110132300.00%000001.0100001245
5Luke PhilpMarlies (TOR)C/RW82243256306024942275715310.57%14162119.773912422120112424157.79%15400000.6912000205
6Luke TuchMarlies (TOR)LW7518355312400150115203691468.87%13119315.911239280002971158.47%11800000.8902000152
7Chris WagnerMarlies (TOR)C/LW/RW3521224311360681341845813411.41%1184924.27268361010004892153.83%116100011.0102000323
8Ethan ProwMarlies (TOR)D73103141223801306096275810.42%118155521.30581348160000217020100.00%200000.5300000202
9Matthew RobertsonMarlies (TOR)D436344012240100609230446.52%81102923.94268451190002103300.00%000100.7800000233
10Vasily PonomarevMarlies (TOR)C34152540-26017121160501169.38%1169920.57281037961013500059.03%89100001.1412000232
11Andre LeeMarlies (TOR)LW391818360260107601604014011.25%1777019.76336351070112573263.27%4900000.9311000332
12Marc JohnstoneMarlies (TOR)RW6311233442004678133391168.27%591814.58101943000030053.85%7800000.7411000020
13Ty NelsonMarlies (TOR)D52727342112091698423688.33%84111021.36347421280000113100.00%000000.6100000111
14Chris HarpurMarlies (TOR)D51625316220814455183510.91%7383116.311451644000147100.00%100000.7500000230
15Jacob DotyMarlies (TOR)C6311162714315979611232869.82%2175411.97101290002392151.34%89800000.7200003201
16Alexander PetrovicMarlies (TOR)D30720270240944169215010.14%6976725.595383897000066120.00%000000.7000000113
17Jordan MartelMarlies (TOR)RW47111526-1406758105358210.48%1087118.5432520103000001245.45%6600000.6001000112
18Viktor NeuchevMarlies (TOR)LW301114252603941108278510.19%654718.2315611460001452151.04%9600000.9101000321
19Corey AndonovskiMarlies (TOR)RW6791322-62610486310644778.49%2176911.48000030000221160.29%6800000.5700002011
20Colin FelixMarlies (TOR)D4121113050011523239188.70%3062515.25000419000141100.00%000000.4200000001
21Anthony VincentMarlies (TOR)RW6721012-1325585423816375.26%3774211.080111120000190056.82%4400000.3200001001
22Will ZmolekMarlies (TOR)D7022020755060.00%710815.470000100002000.00%000000.3700000000
23Tate SingletonMarlies (TOR)RW28000275223100.00%3511.8500004000000066.67%300000.0000100000
Statistiques d’équipe totales ou en moyenne120730955686515258050190419683080915225710.03%8402180918.0759981575911905235361552411754.32%765700180.79420208454646
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
1Magnus HellbergMarlies (TOR)58282530.9093.3632872218420230310.667125823322
2Jack CampbellMarlies (TOR)2817710.9223.201595208510870211.00072358310
Statistiques d’équipe totales ou en moyenne86453240.9143.3148824226931100520.789198181632


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
Alexander PetrovicMarlies (TOR)D331992-03-03No211 Lbs6 ft5NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Andre LeeMarlies (TOR)LW252000-07-26No206 Lbs6 ft5NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Anthony VincentMarlies (TOR)RW281997-08-12No190 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Chris HarpurMarlies (TOR)D291996-09-13No201 Lbs6 ft3NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien / Lien NHL
Chris Wagner (contrat à 1 volet)Marlies (TOR)C/LW/RW341991-05-27No192 Lbs6 ft0NoNoNo3Pro & Farm800,000$800,000$800,000$0$No800,000$800,000$Lien / Lien NHL
Colin FelixMarlies (TOR)D261999-01-07No203 Lbs6 ft1NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien / Lien NHL
Corey AndonovskiMarlies (TOR)RW261999-03-26No195 Lbs6 ft1NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Ethan ProwMarlies (TOR)D321992-11-17No182 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Jack Campbell (contrat à 1 volet)Marlies (TOR)G331992-01-09No200 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$999,999$0$No999,999$999,999$Lien / Lien NHL
Jacob DotyMarlies (TOR)C321993-06-19No212 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jordan MartelMarlies (TOR)RW271998-02-24No194 Lbs6 ft1NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Luke Philp (contrat à 1 volet)Marlies (TOR)C/RW291995-11-06No181 Lbs5 ft10NoNoNo3Pro & Farm800,000$800,000$800,000$0$No800,000$800,000$Lien / Lien NHL
Luke TuchMarlies (TOR)LW232002-03-07Yes209 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Magnus HellbergMarlies (TOR)G341991-04-04No220 Lbs6 ft6NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Marc JohnstoneMarlies (TOR)RW291996-06-19No181 Lbs6 ft0NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Matt SavoieMarlies (TOR)C212004-01-01Yes179 Lbs5 ft9NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Matthew RobertsonMarlies (TOR)D242001-09-01Yes211 Lbs6 ft4NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Michael CallahanMarlies (TOR)D261999-09-23No199 Lbs6 ft2NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Reid SchaeferMarlies (TOR)LW222003-09-21Yes226 Lbs6 ft5NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Roni Hirvonen (sur la masse salariale)Marlies (TOR)C232002-01-10Yes178 Lbs5 ft10NoNoNo2Pro & Farm950,000$950,000$0$0$Yes950,000$Lien / Lien NHL
Tate SingletonMarlies (TOR)RW271998-09-05No176 Lbs5 ft9NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Travis HoweMarlies (TOR)RW311994-02-10No198 Lbs6 ft4NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Ty NelsonMarlies (TOR)D212004-03-30Yes195 Lbs5 ft9NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Vasily PonomarevMarlies (TOR)C232002-03-13Yes180 Lbs5 ft10NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Viktor NeuchevMarlies (TOR)LW212003-10-25Yes165 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Will ZmolekMarlies (TOR)D261999-04-17No205 Lbs6 ft3NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2627.12196 Lbs6 ft12.42850,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Reid SchaeferChris WagnerLuke Philp40122
2Andre LeeVasily PonomarevJordan Martel30122
3Viktor NeuchevMatt SavoieCorey Andonovski20122
4Luke TuchAnthony Vincent10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Callahan40122
2Ethan ProwTy Nelson30122
3Will ZmolekChris Harpur20122
4Michael Callahan10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Reid SchaeferChris WagnerLuke Philp60122
2Andre LeeVasily PonomarevJordan Martel40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Callahan60122
2Ethan ProwTy Nelson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris WagnerReid Schaefer60122
2Vasily PonomarevAndre Lee40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Callahan60122
2Ethan ProwTy Nelson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chris Wagner60122Michael Callahan60122
2Reid Schaefer40122Ethan ProwTy Nelson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris WagnerReid Schaefer60122
2Vasily PonomarevAndre Lee40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Callahan60122
2Ethan ProwTy Nelson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Reid SchaeferChris WagnerLuke PhilpMichael Callahan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Reid SchaeferChris WagnerLuke PhilpMichael Callahan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Savoie, Viktor Neuchev, Luke TuchMatt Savoie, Viktor NeuchevLuke Tuch
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Will Zmolek, Chris Harpur, Ethan ProwWill ZmolekChris Harpur, Ethan Prow
Tirs de pénalité
Chris Wagner, Reid Schaefer, Vasily Ponomarev, Andre Lee, Matt Savoie
Gardien
#1 : Jack Campbell, #2 : Magnus Hellberg
Lignes d’attaque personnalisées en prolongation
Chris Wagner, Reid Schaefer, Vasily Ponomarev, Andre Lee, Matt Savoie, Viktor Neuchev, Viktor Neuchev, Luke Tuch, Luke Philp, , Jordan Martel
Lignes de défense personnalisées en prolongation
, Michael Callahan, Ethan Prow, Ty Nelson, Will Zmolek


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
1Admirals22000000413110000001011100000031241.0004711011241058684710781021103743461410547342.86%50100.00%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
2Americans41102000151502010100068-22100100097260.750152641001241058681311078102110374317236411038337.50%17476.47%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
3Barracuda20100010610-4100000104311010000027-520.50069150012410586879107810211037438820165610110.00%8187.50%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
4Bears3120000078-11010000012-12110000066020.333712190012410586811310781021103743852820594125.00%10190.00%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
5Bruins31200000814-61010000025-32110000069-320.333815230012410586891107810211037431234125719111.11%9366.67%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
6Checkers4310000023101322000000143112110000097260.750234164001241058682171078102110374316450221079333.33%11281.82%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
7Comets2010000179-21010000045-11000000134-110.25071118001241058687610781021103743922432556350.00%50100.00%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
8Condors21100000752110000005141010000024-220.5007132000124105868821078102110374374202434400.00%12283.33%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
9Crunch312000001112-120200000710-31100000042220.33311193010124105868112107810211037431234318681218.33%8275.00%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
10Devils32001000188102200000015691000100032161.00018314900124105868114107810211037431273832706116.67%16381.25%11695313254.12%1777323354.96%743139053.45%1961137619545961032517
11Eagles220000001183110000005321100000065141.0001119300012410586869107810211037438529164311654.55%70100.00%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
12Firebirds21100000862110000007431010000012-120.50081624001241058687510781021103743591910479111.11%5180.00%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
13Griffins431000002791822000000194152110000085360.7502751780112410586822610781021103743152361012312433.33%5180.00%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
14Gulls22000000523110000003121100000021141.00051015001241058681111078102110374372231453300.00%60100.00%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
15IceHogs2110000056-11010000014-31100000042220.5005914001241058687010781021103743842435335120.00%9188.89%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
16Monsters3010100189-11010000034-12000100155030.500814220012410586874107810211037431223328739222.22%14378.57%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
17Moose2110000069-31010000026-41100000043120.50061218001241058686310781021103743992712475240.00%6266.67%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
18Penguins30200100613-720100100511-61010000012-110.16761016001241058681061078102110374313032249213215.38%11463.64%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
19Phantoms311001001011-11000010045-12110000066030.500102030001241058681071078102110374310839247812216.67%10190.00%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
20Reign22000000963110000004221100000054141.0009182700124105868811078102110374366166451000.00%30100.00%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
21Roadrunners21100000990110000005411010000045-120.50091524001241058685010781021103743813612514125.00%6183.33%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
22Rocket43100000191272200000085321100000117460.7501931500012410586818410781021103743127364210510220.00%11190.91%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
23Senators43100000171432110000089-12200000095460.750173148101241058681301078102110374316243189616318.75%90100.00%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
24Silver Knights220000001477110000008441100000063341.0001424380012410586896107810211037438123216122100.00%8187.50%11695313254.12%1777323354.96%743139053.45%1961137619545961032517
25Sound Tigers31200000131301010000056-12110000087120.333132336001241058681041078102110374310829248610330.00%5180.00%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
26Stars2110000057-2110000003211010000025-320.5005914001241058687710781021103743802718447114.29%8187.50%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
27Thunderbirds210000101275110000008441000001043141.000122032001241058681271078102110374369206459333.33%10100.00%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
28Wild211000008801010000036-31100000052320.50081523001241058685210781021103743722712306116.67%6183.33%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
29Wolf Pack3030000058-32020000035-21010000023-100.00059140012410586895107810211037439537296910110.00%9455.56%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
30Wolves30300000713-620200000610-41010000013-200.0007142100124105868951078102110374311737146010220.00%6266.67%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
31Wranglers220000001156110000004131100000074341.0001121320012410586810510781021103743701884011327.27%4175.00%01695313254.12%1777323354.96%743139053.45%1961137619545961032517
Total824032042223212744741201701210173143304120150301214813117960.58532157589622124105868315910781021103743313392562319982595922.78%2504482.40%21695313254.12%1777323354.96%743139053.45%1961137619545961032517
_Since Last GM Reset824032042223212744741201701210173143304120150301214813117960.58532157589622124105868315910781021103743313392562319982595922.78%2504482.40%21695313254.12%1777323354.96%743139053.45%1961137619545961032517
_Vs Conference50202304201194169252591301200106931325111003001887612510.51019434754121124105868189910781021103743191555837112601503120.67%1513278.81%11695313254.12%1777323354.96%743139053.45%1961137619545961032517
_Vs Division26159020001208634137501000644420138401000564214340.654120214334211241058681091107810211037431023285176673761722.37%701381.43%01695313254.12%1777323354.96%743139053.45%1961137619545961032517

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8296W332157589631593133925623199822
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8240324222321274
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120171210173143
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120153012148131
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2595922.78%2504482.40%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
10781021103743124105868
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
1695313254.12%1777323354.96%743139053.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1961137619545961032517


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 - 2025-10-084Rocket1Marlies3BWSommaire du match
5 - 2025-10-1125Marlies2Griffins3ALSommaire du match
7 - 2025-10-1343Griffins0Marlies9BWSommaire du match
8 - 2025-10-1449Admirals0Marlies1BWSommaire du match
10 - 2025-10-1661Wolf Pack2Marlies1BLSommaire du match
12 - 2025-10-1879Firebirds4Marlies7BWSommaire du match
15 - 2025-10-2198Devils2Marlies8BWSommaire du match
18 - 2025-10-24125Marlies6Americans5AWXSommaire du match
19 - 2025-10-25132Americans4Marlies5BWXSommaire du match
22 - 2025-10-28151Wranglers1Marlies4BWSommaire du match
23 - 2025-10-29166Marlies4Monsters3AWXSommaire du match
26 - 2025-11-01188Marlies4Phantoms2AWSommaire du match
28 - 2025-11-03199Penguins5Marlies4BLXSommaire du match
30 - 2025-11-05213Roadrunners4Marlies5BWSommaire du match
33 - 2025-11-08234Bruins5Marlies2BLSommaire du match
34 - 2025-11-09246Wolves6Marlies4BLSommaire du match
36 - 2025-11-11256Marlies3Bruins7ALSommaire du match
38 - 2025-11-13269Reign2Marlies4BWSommaire du match
40 - 2025-11-15291Marlies4IceHogs2AWSommaire du match
43 - 2025-11-18307Thunderbirds4Marlies8BWSommaire du match
45 - 2025-11-20319Monsters4Marlies3BLSommaire du match
47 - 2025-11-22337Marlies4Rocket5ALSommaire du match
51 - 2025-11-26369Marlies1Monsters2ALXXSommaire du match
53 - 2025-11-28386Marlies2Bears3ALSommaire du match
54 - 2025-11-29396Marlies1Penguins2ALSommaire du match
57 - 2025-12-02415Marlies5Checkers2AWSommaire du match
59 - 2025-12-04432Marlies1Wolves3ALSommaire du match
61 - 2025-12-06444Rocket4Marlies5BWSommaire du match
63 - 2025-12-08461Crunch6Marlies4BLSommaire du match
66 - 2025-12-11480Barracuda3Marlies4BWXXSommaire du match
68 - 2025-12-13499Condors1Marlies5BWSommaire du match
71 - 2025-12-16520IceHogs4Marlies1BLSommaire du match
73 - 2025-12-18538Marlies4Bears3AWSommaire du match
75 - 2025-12-20558Marlies3Admirals1AWSommaire du match
76 - 2025-12-21568Marlies2Stars5ALSommaire du match
78 - 2025-12-23575Penguins6Marlies1BLSommaire du match
82 - 2025-12-27590Senators5Marlies3BLSommaire du match
83 - 2025-12-28603Marlies6Griffins2AWSommaire du match
85 - 2025-12-30617Devils4Marlies7BWSommaire du match
87 - 2026-01-01634Moose6Marlies2BLSommaire du match
89 - 2026-01-03651Marlies6Sound Tigers2AWSommaire du match
92 - 2026-01-06672Checkers2Marlies7BWSommaire du match
94 - 2026-01-08686Marlies2Phantoms4ALSommaire du match
96 - 2026-01-10702Comets5Marlies4BLSommaire du match
98 - 2026-01-12723Marlies6Eagles5AWSommaire du match
99 - 2026-01-13733Marlies4Roadrunners5ALSommaire du match
101 - 2026-01-15748Marlies6Silver Knights3AWSommaire du match
103 - 2026-01-17762Marlies4Moose3AWSommaire du match
105 - 2026-01-19774Wild6Marlies3BLSommaire du match
107 - 2026-01-21788Griffins4Marlies10BWSommaire du match
109 - 2026-01-23802Silver Knights4Marlies8BWSommaire du match
111 - 2026-01-25819Eagles3Marlies5BWSommaire du match
113 - 2026-01-27831Americans4Marlies1BLSommaire du match
115 - 2026-01-29857Marlies1Firebirds2ALSommaire du match
117 - 2026-01-31869Marlies3Comets4ALXXSommaire du match
119 - 2026-02-02885Marlies7Wranglers4AWSommaire du match
120 - 2026-02-03891Marlies2Condors4ALSommaire du match
142 - 2026-02-25912Marlies4Crunch2AWSommaire du match
143 - 2026-02-26921Marlies4Checkers5ALSommaire du match
145 - 2026-02-28940Senators4Marlies5BWSommaire du match
147 - 2026-03-02954Phantoms5Marlies4BLXSommaire du match
149 - 2026-03-04971Marlies3Devils2AWXSommaire du match
150 - 2026-03-05975Marlies2Wolf Pack3ALSommaire du match
152 - 2026-03-07994Crunch4Marlies3BLSommaire du match
155 - 2026-03-101014Marlies7Rocket2AWSommaire du match
157 - 2026-03-121029Gulls1Marlies3BWSommaire du match
159 - 2026-03-141047Marlies3Americans2AWSommaire du match
160 - 2026-03-151060Marlies5Wild2AWSommaire du match
162 - 2026-03-171068Sound Tigers6Marlies5BLSommaire du match
165 - 2026-03-201094Wolves4Marlies2BLSommaire du match
166 - 2026-03-211106Marlies6Senators3AWSommaire du match
169 - 2026-03-241120Marlies3Bruins2AWSommaire du match
170 - 2026-03-251136Wolf Pack3Marlies2BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281160Marlies4Thunderbirds3AWXXSommaire du match
175 - 2026-03-301176Marlies2Gulls1AWSommaire du match
178 - 2026-04-021202Marlies2Barracuda7ALSommaire du match
180 - 2026-04-041217Marlies5Reign4AWSommaire du match
184 - 2026-04-081245Bears2Marlies1BLSommaire du match
185 - 2026-04-091252Marlies2Sound Tigers5ALSommaire du match
187 - 2026-04-111270Checkers1Marlies7BWSommaire du match
189 - 2026-04-131285Stars2Marlies3BWSommaire du match
191 - 2026-04-151304Marlies3Senators2AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4025
Assistance56,55728,896
Assistance PCT68.97%70.48%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-31 2084 - 69.47% 90,996$3,730,852$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,787,274$ 1,855,000$ 1,855,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,928,411$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,820,888$ 0 14,089$ 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
1Vasily Ponomarev116687113913144240251013.33%40248921.461516311124041310253.85%01.12411
2Reid Schaefer1554492136281675413275647.80%72323820.89721289010195250.05%20.8408
3Roni Hirvonen137454388-12187327538011.84%32194814.236394410125250.53%50.9002
4Adam Ruzicka69344882-662229233210.24%27166524.1379166003364255.28%10.9837
5Matt Savoie6536448017142825232011.25%34139121.4197163100065156.58%01.1502

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
1Julian Junca82324060.8923.8544252128426180100.65529
2Magnus Hellberg58282530.9093.3632872218420230310.66712
3Jack Campbell2817710.9223.201595208510870211.0007
4Olof Lindbom152200.9342.2955120213200001.0002

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
202482234207145264310-4641141706013140143-34192501132124167-43742644777410181908216268384895083679293882360819442604818.46%2746675.91%41471285051.61%1630307553.01%684138249.49%1855125320536261072522
20258240320422232127447412017012101731433041201503012148131179632157589622124105868315910781021103743313392562319982595922.78%2504482.40%21695313254.12%1777323354.96%743139053.45%1961137619545961032517
Total Saison régulière16463740113675855841823434072233132862782294004144272298-261705851052163723205195168245842192619711873122607117481231394251910720.62%52411079.01%63166598252.93%3407630854.01%1427277251.48%381626294008122221041039

Marlies Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Marlies Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA