Marlies
GP: 28 | W: 16 | L: 10 | OTL: 2 | P: 34
GF: 110 | GA: 87 | PP%: 22.22% | PK%: 79.01%
DG: Guillaume Jacob | Morale : 75 | Moyenne d’équipe : 61
Prochain matchs #461 vs Crunch
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Centre de jeu
Marlies
16-10-2, 34pts
1
FINAL
3 Wolves
17-10-0, 34pts
Team Stats
W1StreakW3
11-4-1Home Record8-6-0
5-6-1Away Record9-4-0
4-5-1Last 10 Games5-5-0
3.93Buts par match 4.37
3.11Buts contre par match 3.33
22.22%Pourcentage en avantage numérique25.56%
79.01%Pourcentage en désavantage numérique79.73%
Rocket
17-9-1, 35pts
4
FINAL
5 Marlies
16-10-2, 34pts
Team Stats
L1StreakW1
9-5-0Home Record11-4-1
8-4-1Away Record5-6-1
7-3-0Last 10 Games4-5-1
3.85Buts par match 3.93
3.22Buts contre par match 3.11
21.98%Pourcentage en avantage numérique22.22%
83.33%Pourcentage en désavantage numérique79.01%
Crunch
17-10-1, 35pts
2025-12-08
Marlies
16-10-2, 34pts
Statistiques d’équipe
W2SéquenceW1
9-5-1Fiche domicile11-4-1
8-5-0Fiche visiteur5-6-1
7-3-010 derniers matchs4-5-1
3.89Buts par match 3.93
3.82Buts contre par match 3.11
23.75%Pourcentage en avantage numérique22.22%
70.91%Pourcentage en désavantage numérique79.01%
Barracuda
20-6-3, 43pts
2025-12-11
Marlies
16-10-2, 34pts
Statistiques d’équipe
L1SéquenceW1
12-3-2Fiche domicile11-4-1
8-3-1Fiche visiteur5-6-1
8-2-010 derniers matchs4-5-1
4.86Buts par match 3.93
3.34Buts contre par match 3.11
31.73%Pourcentage en avantage numérique22.22%
77.65%Pourcentage en désavantage numérique79.01%
Condors
21-7-1, 43pts
2025-12-13
Marlies
16-10-2, 34pts
Statistiques d’équipe
W1SéquenceW1
9-3-0Fiche domicile11-4-1
12-4-1Fiche visiteur5-6-1
6-3-110 derniers matchs4-5-1
4.24Buts par match 3.93
2.83Buts contre par match 3.11
22.99%Pourcentage en avantage numérique22.22%
81.01%Pourcentage en désavantage numérique79.01%
Meneurs d'équipe
Jack CampbellVictoires
Jack Campbell
11
Magnus HellbergPourcentage d’arrêts
Magnus Hellberg
0.932

Statistiques d’équipe
Buts pour
110
3.93 GFG
Tirs pour
1071
38.25 Avg
Pourcentage en avantage numérique
22.2%
18 GF
Début de zone offensive
40.5%
Buts contre
87
3.11 GAA
Tirs contre
1066
38.07 Avg
Pourcentage en désavantage numérique
79.0%
17 GA
Début de la zone défensive
42.4%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,012
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 80
Espoirs59


Historique d'équipe

Saison actuelle16-10-2 (34PTS)
Historique50-52-16 (0.424%)
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
1Reid Schaefer (R)0X100.00865474609580756159626064616364075640222950,000$
2Matt Savoie (R)0X100.00603786666782746573645960626163075620213950,000$
3Viktor Neuchev (R)0X100.00643795607386775964615758626364075610212950,000$
4Luke Tuch (R)0X98.79764173588575685652555459566365075600233950,000$
5Luke Philp0XX100.00583790586774735666595754587072075600293800,000$
6Roni Hirvonen (R)0X100.00573789616678775962585856606365075600232950,000$
7Anthony Vincent0X100.00634266587280765759555654586770075590281750,000$
8Corey Andonovski0X100.00674267577671815459555658546668075590262800,000$
9Marc Johnstone98X100.00683877587174785659535554586971075590293800,000$
10Jacob Doty0X100.00744565558364805260535456527274075590322950,000$
11Jordan Martel0X100.00673794577681615552505653586769075590273800,000$
12Tate Singleton0X100.00584359566576635562545153576769075560273800,000$
13Michael Callahan0X100.00684085628180855830605761496668075620263800,000$
14Ethan Prow6X100.00603794596968745730585354467375075600321750,000$
15Chris Harpur0X100.00753981558464655430575056456971075590292775,000$
16Colin Felix0X100.00795759557863705230535154456668075580262775,000$
Rayé
1Chris Wagner0XXX100.00754374637379806265606463627677075640343800,000$
2Andre Lee0X100.00794279629175796055595861576566075630251800,000$
3Vasily Ponomarev (R)0X100.00593782676978806573636062676364075630232800,000$
4Travis Howe0X100.00776952548660755351525056507173075580313800,000$
5Alexander Petrovic0X100.00827174609280855830595762457475075630333800,000$
6Matthew Robertson (R)0X100.00764274618985845930605662496466075620242800,000$
7Ty Nelson (R)0X100.00553979646878736330615456476163075600213950,000$
8Will Zmolek0X100.00753895578463645630555258456668075600263800,000$
MOYENNE D’ÉQUIPE99.9569447859787575585057565854676907560
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
1Michael CallahanMarlies (TOR)D2811253611240515064222717.19%6070125.074482668000065300.00%000001.0300000032
2Matt SavoieMarlies (TOR)C281419338404120145341149.66%667724.1953820670003771057.54%78900000.9701000311
3Reid SchaeferMarlies (TOR)LW281219311028012784146311148.22%1868724.5616720660001752049.43%35200000.9001000233
4Roni HirvonenMarlies (TOR)C2812152741002580104336811.54%552518.752241955000012048.05%69300001.0300000211
5Viktor NeuchevMarlies (TOR)LW22101323-160374199247610.10%446521.1815611440001422151.16%8600000.9901000321
6Luke TuchMarlies (TOR)LW2871522134046467225469.72%341914.97000000001410047.62%4200001.0501000131
7Marc JohnstoneMarlies (TOR)RW28911201180163660175015.00%138013.5800001000000050.00%2600001.0500000020
8Luke PhilpMarlies (TOR)C/RW286142012004327318478.22%653118.9904410660001110059.65%5700000.7500000001
9Jacob DotyMarlies (TOR)C2871219895424854164812.96%840014.32101010001201153.00%50000000.9500001100
10Matthew RobertsonMarlies (TOR)D1931215716050324713186.38%3345023.690001849000139200.00%000100.6700000121
11Jordan MartelMarlies (TOR)RW287714120512869174310.14%653219.002131361000000041.46%4100000.5300000010
12Ethan ProwMarlies (TOR)D28211131010057263112266.45%4157920.682241358000160000.00%000000.4500000001
13Ty NelsonMarlies (TOR)D18391211003221319169.68%3336620.360221342000034000.00%000000.6500000000
14Chris HarpurMarlies (TOR)D252810012018201741011.76%2736414.560111400005100.00%000000.5500000010
15Colin FelixMarlies (TOR)D25167538072131081110.00%1836214.4800001000118100.00%000000.3900000001
16Andre LeeMarlies (TOR)LW52133401372081710.00%49218.41000011000070050.00%400000.6500000100
17Anthony VincentMarlies (TOR)RW25011-100475120.00%1572.3000015000010040.91%2200000.3500000000
18Corey AndonovskiMarlies (TOR)RW251010001513487.69%1783.14000000000000100.00%600000.2500000000
19Chris WagnerMarlies (TOR)C/LW/RW1000000324130.00%01414.0700013000020059.26%2700000.0000000000
20Tate SingletonMarlies (TOR)RW24000055000100.00%0100.44000020000000100.00%200000.0000100000
Statistiques d’équipe totales ou en moyenne46910919830711218010653698106429874410.24%275769616.411830481666120001150615252.47%264700100.8004101141913
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
1Jack CampbellMarlies (TOR)1611410.9123.7396620606780100.00001611200
2Magnus HellbergMarlies (TOR)114610.9322.2766202253670100.75041116112
Statistiques d’équipe totales ou en moyenne27151020.9193.131629228510450200.75042727312


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$545,833$800,000$545,833$0$0$No800,000$800,000$Lien / Lien NHL
Andre LeeMarlies (TOR)LW252000-07-26No206 Lbs6 ft5NoNoNo1Pro & Farm800,000$545,833$800,000$545,833$0$0$NoLien / Lien NHL
Anthony VincentMarlies (TOR)RW281997-08-12No190 Lbs6 ft0NoNoNo1Pro & Farm750,000$511,719$750,000$511,719$0$0$NoLien / Lien NHL
Chris HarpurMarlies (TOR)D291996-09-13No201 Lbs6 ft3NoNoNo2Pro & Farm775,000$528,776$775,000$528,776$0$0$No775,000$Lien / Lien NHL
Chris Wagner (contrat à 1 volet)Marlies (TOR)C/LW/RW341991-05-27No192 Lbs6 ft0NoNoNo3Pro & Farm800,000$545,833$800,000$545,833$800,000$545,833$No800,000$800,000$Lien / Lien NHL
Colin FelixMarlies (TOR)D261999-01-07No203 Lbs6 ft1NoNoNo2Pro & Farm775,000$528,776$775,000$528,776$0$0$No775,000$Lien / Lien NHL
Corey AndonovskiMarlies (TOR)RW261999-03-26No195 Lbs6 ft1NoNoNo2Pro & Farm800,000$545,833$800,000$545,833$0$0$No800,000$Lien / Lien NHL
Ethan ProwMarlies (TOR)D321992-11-17No182 Lbs5 ft11NoNoNo1Pro & Farm750,000$511,719$750,000$511,719$0$0$NoLien / Lien NHL
Jack Campbell (contrat à 1 volet)Marlies (TOR)G331992-01-09No200 Lbs6 ft3NoNoNo3Pro & Farm999,999$682,291$999,999$682,291$999,999$682,291$No999,999$999,999$Lien / Lien NHL
Jacob DotyMarlies (TOR)C321993-06-19No212 Lbs6 ft2NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Jordan MartelMarlies (TOR)RW271998-02-24No194 Lbs6 ft1NoNoNo3Pro & Farm800,000$545,833$800,000$545,833$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$545,833$800,000$545,833$800,000$545,833$No800,000$800,000$Lien / Lien NHL
Luke TuchMarlies (TOR)LW232002-03-07Yes209 Lbs6 ft3NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Magnus HellbergMarlies (TOR)G341991-04-04No220 Lbs6 ft6NoNoNo3Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$999,999$Lien / Lien NHL
Marc JohnstoneMarlies (TOR)RW291996-06-19No181 Lbs6 ft0NoNoNo3Pro & Farm800,000$545,833$800,000$545,833$0$0$No800,000$800,000$Lien / Lien NHL
Matt SavoieMarlies (TOR)C212004-01-01Yes179 Lbs5 ft9NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Matthew RobertsonMarlies (TOR)D242001-09-01Yes211 Lbs6 ft4NoNoNo2Pro & Farm800,000$545,833$800,000$545,833$0$0$No800,000$Lien / Lien NHL
Michael CallahanMarlies (TOR)D261999-09-23No199 Lbs6 ft2NoNoNo3Pro & Farm800,000$545,833$800,000$545,833$0$0$No800,000$800,000$Lien / Lien NHL
Reid SchaeferMarlies (TOR)LW222003-09-21Yes226 Lbs6 ft5NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Roni HirvonenMarlies (TOR)C232002-01-10Yes178 Lbs5 ft10NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Tate SingletonMarlies (TOR)RW271998-09-05No176 Lbs5 ft9NoNoNo3Pro & Farm800,000$545,833$800,000$545,833$0$0$No800,000$800,000$Lien / Lien NHL
Travis HoweMarlies (TOR)RW311994-02-10No198 Lbs6 ft4NoNoNo3Pro & Farm800,000$545,833$800,000$545,833$0$0$No800,000$800,000$Lien / Lien NHL
Ty NelsonMarlies (TOR)D212004-03-30Yes195 Lbs5 ft9NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Vasily PonomarevMarlies (TOR)C232002-03-13Yes180 Lbs5 ft10NoNoNo2Pro & Farm800,000$545,833$800,000$545,833$0$0$No800,000$Lien / Lien NHL
Viktor NeuchevMarlies (TOR)LW212003-10-25Yes165 Lbs6 ft2NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Will ZmolekMarlies (TOR)D261999-04-17No205 Lbs6 ft3NoNoNo3Pro & Farm800,000$545,833$800,000$545,833$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 SchaeferMatt SavoieLuke Philp40122
2Viktor NeuchevRoni HirvonenJordan Martel30122
3Luke TuchJacob DotyMarc Johnstone20122
4Matt SavoieReid SchaeferCorey Andonovski10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Callahan40122
2Ethan Prow30122
3Chris HarpurColin Felix20122
4Michael Callahan10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Reid SchaeferMatt SavoieLuke Philp60122
2Viktor NeuchevRoni HirvonenJordan Martel40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Callahan60122
2Ethan Prow40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Reid SchaeferMatt Savoie60122
2Viktor NeuchevLuke Tuch40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Callahan60122
2Ethan Prow40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Reid Schaefer60122Michael Callahan60122
2Matt Savoie40122Ethan Prow40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Reid SchaeferMatt Savoie60122
2Viktor NeuchevLuke Tuch40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Callahan60122
2Ethan Prow40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Reid SchaeferMatt SavoieLuke PhilpMichael Callahan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Reid SchaeferMatt SavoieLuke PhilpMichael Callahan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Anthony Vincent, Tate Singleton, Jacob DotyAnthony Vincent, Tate SingletonJacob Doty
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Chris Harpur, Colin Felix, Ethan ProwChris HarpurColin Felix, Ethan Prow
Tirs de pénalité
Reid Schaefer, Matt Savoie, Viktor Neuchev, Luke Tuch, Luke Philp
Gardien
#1 : Jack Campbell, #2 : Magnus Hellberg
Lignes d’attaque personnalisées en prolongation
Reid Schaefer, Matt Savoie, Viktor Neuchev, Luke Tuch, Luke Philp, Roni Hirvonen, Roni Hirvonen, Jordan Martel, Jacob Doty, Marc Johnstone, Corey Andonovski
Lignes de défense personnalisées en prolongation
Michael Callahan, , Ethan Prow, , 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
1Admirals11000000101110000001010000000000021.0001230151302632135836633318309629200.00%30100.00%0562106552.77%608111554.53%22345249.34%666464668209357178
2Americans200020001192100010005411000100065141.00011193000513026372358366333181021518514250.00%9455.56%0562106552.77%608111554.53%22345249.34%666464668209357178
3Bears1010000023-1000000000001010000023-100.00023500513026342358366333182214621100.00%3166.67%0562106552.77%608111554.53%22345249.34%666464668209357178
4Bruins20200000512-71010000025-31010000037-400.00051015005130263553583663331894312146400.00%8362.50%0562106552.77%608111554.53%22345249.34%666464668209357178
5Checkers11000000523000000000001100000052321.000591400513026365358366333183478243266.67%40100.00%0562106552.77%608111554.53%22345249.34%666464668209357178
6Devils11000000826110000008260000000000021.000815230051302636035836633318467627200.00%3166.67%0562106552.77%608111554.53%22345249.34%666464668209357178
7Firebirds11000000743110000007430000000000021.0007142100513026353358366333183592235120.00%110.00%0562106552.77%608111554.53%22345249.34%666464668209357178
8Griffins211000001138110000009091010000023-120.5001121320151302631053583663331867128645120.00%40100.00%0562106552.77%608111554.53%22345249.34%666464668209357178
9IceHogs11000000422000000000001100000042221.000471100513026335358366333182968103133.33%30100.00%0562106552.77%608111554.53%22345249.34%666464668209357178
10Monsters3010100189-11010000034-12000100155030.5008142200513026374358366333181223328739222.22%14378.57%0562106552.77%608111554.53%22345249.34%666464668209357178
11Penguins2010010057-21000010045-11010000012-110.250591400513026377358366333189120146010220.00%6183.33%0562106552.77%608111554.53%22345249.34%666464668209357178
12Phantoms11000000422000000000001100000042221.0004812005130263333583663331829104236233.33%20100.00%0562106552.77%608111554.53%22345249.34%666464668209357178
13Reign11000000422110000004220000000000021.00048120051302633935836633318329427500.00%20100.00%0562106552.77%608111554.53%22345249.34%666464668209357178
14Roadrunners11000000541110000005410000000000021.000591400513026321358366333184120222000.00%10100.00%0562106552.77%608111554.53%22345249.34%666464668209357178
15Rocket3210000012102220000008531010000045-140.667121931005130263120358366333181012720767228.57%10190.00%0562106552.77%608111554.53%22345249.34%666464668209357178
16Thunderbirds11000000844110000008440000000000021.00081422005130263713583663331837124262150.00%000.00%0562106552.77%608111554.53%22345249.34%666464668209357178
17Wolf Pack1010000012-11010000012-10000000000000.000123005130263173583663331830141322200.00%2150.00%0562106552.77%608111554.53%22345249.34%666464668209357178
18Wolves2020000059-41010000046-21010000013-200.000510150051302636635836633318842810356116.67%4175.00%0562106552.77%608111554.53%22345249.34%666464668209357178
19Wranglers11000000413110000004130000000000021.0004711005130263453583663331840104195120.00%20100.00%0562106552.77%608111554.53%22345249.34%666464668209357178
Total28131003101110872316104011007348251236020013739-2340.6071102003100251302631071358366333181066293186678811822.22%811779.01%0562106552.77%608111554.53%22345249.34%666464668209357178
_Since Last GM Reset28131003101110872316104011007348251236020013739-2340.6071102003100251302631071358366333181066293186678811822.22%811779.01%0562106552.77%608111554.53%22345249.34%666464668209357178
_Vs Conference2161003101777071044011004433111126020013337-4200.4767713921601513026378635836633318822218156522591423.73%691676.81%0562106552.77%608111554.53%22345249.34%666464668209357178
_Vs Division1044020004436853101000241410513010002022-2120.600447812201513026341735836633318398927526123730.43%35877.14%0562106552.77%608111554.53%22345249.34%666464668209357178

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2834W11102003101071106629318667802
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
281310310111087
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1610411007348
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
123620013739
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
811822.22%811779.01%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
358366333185130263
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
562106552.77%608111554.53%22345249.34%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
666464668209357178


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 - 2025-12-08461Crunch-Marlies-
66 - 2025-12-11480Barracuda-Marlies-
68 - 2025-12-13499Condors-Marlies-
71 - 2025-12-16520IceHogs-Marlies-
73 - 2025-12-18538Marlies-Bears-
75 - 2025-12-20558Marlies-Admirals-
76 - 2025-12-21568Marlies-Stars-
78 - 2025-12-23575Penguins-Marlies-
82 - 2025-12-27590Senators-Marlies-
83 - 2025-12-28603Marlies-Griffins-
85 - 2025-12-30617Devils-Marlies-
87 - 2026-01-01634Moose-Marlies-
89 - 2026-01-03651Marlies-Sound Tigers-
92 - 2026-01-06672Checkers-Marlies-
94 - 2026-01-08686Marlies-Phantoms-
96 - 2026-01-10702Comets-Marlies-
98 - 2026-01-12723Marlies-Eagles-
99 - 2026-01-13733Marlies-Roadrunners-
101 - 2026-01-15748Marlies-Silver Knights-
103 - 2026-01-17762Marlies-Moose-
105 - 2026-01-19774Wild-Marlies-
107 - 2026-01-21788Griffins-Marlies-
109 - 2026-01-23802Silver Knights-Marlies-
111 - 2026-01-25819Eagles-Marlies-
113 - 2026-01-27831Americans-Marlies-
115 - 2026-01-29857Marlies-Firebirds-
117 - 2026-01-31869Marlies-Comets-
119 - 2026-02-02885Marlies-Wranglers-
120 - 2026-02-03891Marlies-Condors-
142 - 2026-02-25912Marlies-Crunch-
143 - 2026-02-26921Marlies-Checkers-
145 - 2026-02-28940Senators-Marlies-
147 - 2026-03-02954Phantoms-Marlies-
149 - 2026-03-04971Marlies-Devils-
150 - 2026-03-05975Marlies-Wolf Pack-
152 - 2026-03-07994Crunch-Marlies-
155 - 2026-03-101014Marlies-Rocket-
157 - 2026-03-121029Gulls-Marlies-
159 - 2026-03-141047Marlies-Americans-
160 - 2026-03-151060Marlies-Wild-
162 - 2026-03-171068Sound Tigers-Marlies-
165 - 2026-03-201094Wolves-Marlies-
166 - 2026-03-211106Marlies-Senators-
169 - 2026-03-241120Marlies-Bruins-
170 - 2026-03-251136Wolf Pack-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281160Marlies-Thunderbirds-
175 - 2026-03-301176Marlies-Gulls-
178 - 2026-04-021202Marlies-Barracuda-
180 - 2026-04-041217Marlies-Reign-
184 - 2026-04-081245Bears-Marlies-
185 - 2026-04-091252Marlies-Sound Tigers-
187 - 2026-04-111270Checkers-Marlies-
189 - 2026-04-131285Stars-Marlies-
191 - 2026-04-151304Marlies-Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4025
Assistance21,53710,653
Assistance PCT67.30%66.58%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-6 2012 - 67.06% 88,110$1,409,758$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
887,899$ 1,950,000$ 1,950,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 616,188$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-528,659$ 131 14,583$ 1,910,373$




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 Ponomarev825346991582528135015.14%29179021.8313821753031010251.55%01.1139
2Adam Ruzicka69344882-662229233210.24%27166524.1379166003364255.28%10.9837
3Reid Schaefer105245680111173541993347.19%33203219.35214164910133048.09%00.7905
4Austin Poganski82253762-1122861042569.77%15160619.60513185100010450.36%10.7702
5Matthew Robertson100103949-211012821171417.09%134226622.66358670002200.00%00.4300

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
2Jack Campbell1611410.9123.7396620606780100.0000
3Magnus Hellberg114610.9322.2766202253670100.7504
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
202528131003101110872316104011007348251236020013739-2341102003100251302631071358366333181066293186678811822.22%811779.01%0562106552.77%608111554.53%22345249.34%666464668209357178
Total Saison régulière1103652010246374397-23572421071132131912253123103133161206-45108374677105103132120108193754120613161169974004111679426223416619.35%3558376.62%42033391551.93%2238419053.41%907183449.45%2521171827228351429700

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