Connexion

Marlies
GP: 70 | W: 44 | L: 22 | OTL: 4 | P: 92
GF: 228 | GA: 175 | PP%: 21.40% | PK%: 84.24%
DG: Jonathan Prevost | Morale : 40 | Moyenne d’équipe : 60
Prochains matchs #849 vs Admirals
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Centre de jeu
Bruins
35-27-8, 78pts
1
FINAL
2 Marlies
44-22-4, 92pts
Team Stats
L2SéquenceW2
20-11-4Fiche domicile22-10-3
15-16-4Fiche domicile22-12-1
5-4-1Derniers 10 matchs8-2-0
2.80Buts par match 3.26
2.61Buts contre par match 2.50
21.43%Pourcentage en avantage numérique21.40%
78.03%Pourcentage en désavantage numérique84.24%
Marlies
44-22-4, 92pts
3
FINAL
2 Griffins
33-32-7, 73pts
Team Stats
W2SéquenceOTL1
22-10-3Fiche domicile18-15-2
22-12-1Fiche domicile15-17-5
8-2-0Derniers 10 matchs4-4-2
3.26Buts par match 2.78
2.50Buts contre par match 2.97
21.40%Pourcentage en avantage numérique19.25%
84.24%Pourcentage en désavantage numérique82.81%
Admirals
35-28-7, 77pts
2025-04-26
Marlies
44-22-4, 92pts
Statistiques d’équipe
L1SéquenceW2
16-14-5Fiche domicile22-10-3
19-14-2Fiche visiteur22-12-1
8-2-010 derniers matchs8-2-0
2.80Buts par match 3.26
2.71Buts contre par match 3.26
26.14%Pourcentage en avantage numérique21.40%
76.22%Pourcentage en désavantage numérique84.24%
Marlies
44-22-4, 92pts
2025-04-28
Senators
33-34-3, 69pts
Statistiques d’équipe
W2SéquenceW1
22-10-3Fiche domicile17-16-2
22-12-1Fiche visiteur16-18-1
8-2-010 derniers matchs5-4-1
3.26Buts par match 2.33
2.50Buts contre par match 2.33
21.40%Pourcentage en avantage numérique22.41%
84.24%Pourcentage en désavantage numérique82.79%
Manitoba Moose
38-26-7, 83pts
2025-04-30
Marlies
44-22-4, 92pts
Statistiques d’équipe
L2SéquenceW2
21-12-2Fiche domicile22-10-3
17-14-5Fiche visiteur22-12-1
4-4-210 derniers matchs8-2-0
2.68Buts par match 3.26
2.55Buts contre par match 3.26
15.97%Pourcentage en avantage numérique21.40%
79.75%Pourcentage en désavantage numérique84.24%
Meneurs d'équipe
Buts
Mason McTavish
45
Jimmy VeseyPasses
Jimmy Vesey
40
Points
Mason McTavish
79
Plus/Moins
Mason McTavish
22
Victoires
Magnus Hellberg
34
Pourcentage d’arrêts
Magnus Hellberg
0.903

Statistiques d’équipe
Buts pour
228
3.26 GFG
Tirs pour
2037
29.10 Avg
Pourcentage en avantage numérique
21.4%
55 GF
Début de zone offensive
41.8%
Buts contre
175
2.50 GAA
Tirs contre
1771
25.30 Avg
Pourcentage en désavantage numérique
84.2%%
32 GA
Début de la zone défensive
38.5%
Informations de l'équipe

Directeur généralJonathan Prevost
EntraîneurEric Veilleux
DivisionAtlantic Division
ConférenceConférence EST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 70
Espoirs6


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
1Mason McTavish0XX97.007243607987867884787777718060500407502323,394,167$
2Lukas Reichel0XX99.006945917775847873687165657260500407002311,337,500$
3Ben Meyers0XX96.006940827379807066536261656760500406602721,031,250$
4Kristian Reichel0X97.00624368716370686544616264665450040630271775,000$
5Riley Sutter0X100.00674663647066646159595464605250040610261775,000$
6Cole Reinhardt0X98.00645059636866646142605460595250040600261813,333$
7Riley Damiani0X100.00544367656066646159585651615250040580262891,667$
8Oskar Olausson0X100.00604270656360576143545652615050040570232894,167$
9Robert Mastrosimone (R)0X100.00544465675664626041565255605150040570251750,000$
10Ben Hutton0X100.00574579738184797140686472698373040710331750,000$
11Tyler Tucker0X100.00747160748382686840616270685850040690262808,333$
12Ville Ottavainen0X99.00704370657265636640635970635050040650231925,000$
13Alec Regula0X100.00704466657265636340625570615150040640251775,000$
14Calle Rosen0X100.00534174656272706540655366616555040630321750,000$
15Jack Thompson0X100.00554173716464626640655766655050040630242902,500$
Rayé
1Jimmy Vesey0XX95.00794590758083888050737373768070040740322750,000$
2Sonny Milano0XX95.00664087757782847540687567758373040720292750,000$
3Mattias Janmark0XX95.007363727381828971536864726983730407103331,000,000$
4Mark Jankowski0XX33.24584082728584787175686770708070040700311775,000$
5Shane Bowers0X100.00544073656265636041515551605250040570262750,000$
6Sam Morton0XX100.00604070656361585650515257585250040570261750,000$
7Justin Hryckowian0XX100.00604169646460575440515153565150040550251750,000$
8Gabriel Landeskog0XX100.00111111111111111040603227,000,000$
9Cameron Crotty0X100.00654270656967656240555467605350040620261775,000$
10Luke Krys0X100.00614170656560575440515261575150040580251750,000$
11Gabriel Carlsson0X100.0011111111111111104060281725,000$
MOYENNE D’ÉQUIPE96.3159416764666664614557555960555104060
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
1Magnus Hellberg0100.0069707173716971686970647063040690351785,000$
2Felix Sandstrom0100.0073666665686668656669625550040660291775,000$
Rayé
MOYENNE D’ÉQUIPE100.007168696970687067687063635704068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Eric Veilleux4349584661621CAN521525,000$


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
1Mason McTavishMarlies (TOR)C/LW61453479225201861912636016317.11%12135722.26108184215200037513354.06%129300131.16020001632
2Jimmy VeseyMarlies (TOR)LW/RW622440641546101011562265015610.62%19130921.12420243515500021004150.19%52800010.9812101447
3Ben HuttonMarlies (TOR)D701334471134109193122338710.66%91178825.567916512040001131210%000000.5300011252
4Mattias JanmarkMarlies (TOR)LW/RW6716294505820174115188481708.51%12133219.8961016321910004802150.57%26100000.6812031532
5Sonny MilanoMarlies (TOR)LW/RW66202141-10100481162006213310.00%16127619.3461117411990003753147.05%47400000.6401000124
6Lukas ReichelMarlies (TOR)C/LW691623391620451331353710111.85%11101214.6714515930001304056.20%50000000.7700000412
7Mark JankowskiMarlies (TOR)C/LW58171936122025110126499613.49%1193116.072461210501111311061.92%28100000.7724000042
8Ville OttavainenMarlies (TOR)D7052732-1760188526019418.33%72162823.263710231830000131000%000000.3900000204
9Jack ThompsonMarlies (TOR)D7032528222059745522445.45%71147821.12088241360000127000%000000.3800000020
10Ben MeyersMarlies (TOR)C/LW7091827910038979525809.47%876110.881122150002225048.42%66300000.7100000012
11Kristian ReichelMarlies (TOR)RW7013132610100596498307413.27%8107015.29336101040000423136.76%18500000.4911000322
12Alec RegulaMarlies (TOR)D70422261820198655127407.84%90161123.02145201621011116010%000000.3200000023
13Calle RosenMarlies (TOR)D67122232016049512613243.85%56109616.360114720000128000%000000.4200000002
14Brett KulakMaple LeafsD15513181410029253151616.13%2439426.273251654000034210%000000.9100000213
15Riley SutterMarlies (TOR)RW698816-120802758134013.79%670010.15101418000071160.00%4500100.4600000111
16Aliaksei ProtasMaple LeafsC/LW/RW155111672083942232611.90%132421.661345510000180045.00%4000000.9900000021
17Tyler TuckerMarlies (TOR)D3623531802712153813.33%122657.37202824000124010%000000.3800000010
18Cole ReinhardtMarlies (TOR)LW69224333557264514384.44%471310.340000140000100042.86%4900000.1101001000
19Riley DamianiMarlies (TOR)C540330006165150%21863.460000120000360048.72%15600000.3200000000
20Oskar OlaussonMarlies (TOR)RW22022200122100%0281.28000020000000100.00%200001.4200000000
21Shane BowersMarlies (TOR)C11000-100144110%0585.30000140000130032.56%430000000000000
22Cameron CrottyMarlies (TOR)D21000080854220%21175.5800018000010000%00000000000000
23Justin HryckowianMarlies (TOR)C/LW2000000110100%084.080000000000000%00000000000000
24Luke KrysMarlies (TOR)D1000-120110000%01414.050000000000000%00000000000000
25Robert MastrosimoneMarlies (TOR)LW19000-200516040%1482.540000000000000%20000000000000
26Sam MortonMarlies (TOR)C/LW7000000100000%040.700000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne121120836957713149545148614761857539134911.20%5291952016.1251951463461966112191351401251.33%452200240.59513144403439
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)55341540.9032.4332090213013350100.73315550232
2Devon LeviMaple Leafs1510500.9112.19878213236100100150100
3Felix SandstromMarlies (TOR)50200.8654.0314900107400000070000
Statistiques d’équipe totales ou en moyenne75442240.9032.444237231721770011157070332


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alec RegulaMarlies (TOR)D251999-08-06USANo218 Lbs6 ft4NoNoAssign ManuallyNoNo12024-11-11FalseFalsePro & Farm775,000$0$0$No---------------------------
Ben HuttonMarlies (TOR)D331992-04-20CANNo201 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien NHL
Ben MeyersMarlies (TOR)C/LW271997-11-15USANo194 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,031,250$0$0$No1,031,250$--------1,031,250$--------No--------
Calle RosenMarlies (TOR)D321993-02-02SWENo186 Lbs6 ft1NoNoN/AYesYes1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien NHL
Cameron CrottyMarlies (TOR)D261998-05-05CANNo211 Lbs6 ft3NoNoN/ANoNo12024-08-25FalseFalsePro & Farm775,000$0$0$No---------------------------
Cole ReinhardtMarlies (TOR)LW261999-02-01CANNo215 Lbs6 ft1NoNoN/ANoNo12024-08-25FalseFalsePro & Farm813,333$0$0$No---------------------------
Felix SandstromMarlies (TOR)G291996-01-12SWENo196 Lbs6 ft2NoNoN/ANoNo12024-08-25FalseFalsePro & Farm775,000$0$0$No---------------------------
Gabriel CarlssonMarlies (TOR)D281997-01-02SWENo195 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm725,000$0$0$No---------------------------Lien / Lien NHL
Gabriel LandeskogMarlies (TOR)LW/RW321992-11-23SWENo215 Lbs6 ft1NoNoTrade2024-07-04YesYes2FalseFalsePro & Farm7,000,000$0$0$No7,000,000$--------7,000,000$--------No--------Lien / Lien NHL
Jack ThompsonMarlies (TOR)D242001-03-19CANNo189 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------
Jimmy VeseyMarlies (TOR)LW/RW321992-05-26USANo200 Lbs6 ft2NoNoN/AYesYes2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien NHL
Justin HryckowianMarlies (TOR)C/LW252000-02-23CANNo195 Lbs5 ft10NoNoAssign ManuallyNoNo12024-11-11FalseFalsePro & Farm750,000$0$0$No---------------------------
Kristian ReichelMarlies (TOR)RW271997-06-11CZENo188 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Lukas ReichelMarlies (TOR)C/LW232001-05-17DEUNo170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,337,500$0$0$No---------------------------
Luke KrysMarlies (TOR)D251999-09-27USANo195 Lbs6 ft2NoNoAssign ManuallyNoNo12024-11-11FalseFalsePro & Farm750,000$0$0$No---------------------------
Magnus HellbergMarlies (TOR)G351990-04-04SWENo220 Lbs6 ft6NoNoAssign ManuallyNoNo12025-01-20FalseFalsePro & Farm785,000$0$0$No---------------------------
Mark Jankowski (sur la masse salariale)Marlies (TOR)C/LW311993-09-13CANNo212 Lbs6 ft4NoNoN/AYesYes12024-08-25FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Mason McTavishMarlies (TOR)C/LW232002-01-30CHENo213 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm3,394,167$0$0$No3,394,167$--------3,394,167$--------No--------
Mattias JanmarkMarlies (TOR)LW/RW331991-12-08SWENo205 Lbs6 ft2NoNoN/AYesYes32024-08-25FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien NHL
Oskar OlaussonMarlies (TOR)RW232001-11-10SWENo181 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm894,167$0$0$No894,167$--------894,167$--------No--------
Riley DamianiMarlies (TOR)C261999-03-20CANNo180 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm891,667$0$0$No891,667$--------891,667$--------No--------
Riley SutterMarlies (TOR)RW261998-10-25USANo211 Lbs6 ft4NoNoN/ANoNo12024-08-25FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Robert MastrosimoneMarlies (TOR)LW252000-01-24USAYes165 Lbs5 ft10NoNoTrade2025-04-13NoNo12024-08-24FalseFalsePro & Farm750,000$0$0$No---------------------------
Sam MortonMarlies (TOR)C/LW261998-07-28USANo186 Lbs6 ft1NoNoAssign ManuallyNoNo12024-11-11FalseFalsePro & Farm750,000$0$0$No---------------------------
Shane BowersMarlies (TOR)C261998-07-30CANNo180 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien NHL
Sonny MilanoMarlies (TOR)LW/RW291995-05-12USANo194 Lbs6 ft0NoNoTrade2024-07-04YesYes2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien NHL
Tyler TuckerMarlies (TOR)D261999-03-01CANNo204 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm808,333$0$0$No808,333$--------808,333$--------No--------
Ville OttavainenMarlies (TOR)D232001-08-12FINNo216 Lbs6 ft5NoNoAssign ManuallyNoNo12024-11-11FalseFalsePro & Farm925,000$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2827.36198 Lbs6 ft21.431,139,568$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ben MeyersMason McTavish40122
2Lukas Reichel30122
3Ben Meyers20122
4Riley DamianiRobert Mastrosimone10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HuttonVille Ottavainen40122
2Alec RegulaJack Thompson30122
3Calle RosenVille Ottavainen20122
4Alec RegulaVille Ottavainen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ben MeyersMason McTavish60122
2Lukas ReichelRiley Damiani40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HuttonVille Ottavainen60122
2Alec RegulaJack Thompson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ben Meyers60122
2Riley Damiani40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenVille Ottavainen60122
2Alec RegulaJack Thompson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Calle RosenVille Ottavainen60122
2Ben Meyers40122Alec RegulaJack Thompson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ben Meyers60122
2Mason McTavish40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HuttonVille Ottavainen60122
2Alec RegulaJack Thompson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason McTavishBen HuttonVille Ottavainen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason McTavishBen HuttonVille Ottavainen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ben Meyers, , , Lukas Reichel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Calle Rosen, Ville Ottavainen, Alec RegulaCalle RosenVille Ottavainen, Alec Regula
Tirs de pénalité
, , Ben Meyers, Lukas Reichel, Riley Damiani
Gardien
#1 : Magnus Hellberg, #2 : Felix Sandstrom
Lignes d’attaque personnalisées en prolongation
, , Lukas Reichel, Robert Mastrosimone, Riley Damiani, Ben Meyers, Ben Meyers, Mason McTavish, , Oskar Olausson, Kristian Reichel
Lignes de défense personnalisées en prolongation
Ben Hutton, Ville Ottavainen, Alec Regula, Jack Thompson, Calle Rosen


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
1Admirals31101000972110000005232010100045-140.6679152400965962138373558867553983134848450.00%16193.75%11231229153.73%1070211250.66%575107653.44%169911771632522912455
2Americans42200000981211000007612110000022040.500914230096596213114735588675538613259712216.67%7357.14%01231229153.73%1070211250.66%575107653.44%169911771632522912455
3Bruins311000107702110000034-11000001043140.667791600965962136973558867553511620689111.11%10280.00%01231229153.73%1070211250.66%575107653.44%169911771632522912455
4Checkers312000001114-3211000007611010000048-420.333111930009659621384735588675538336276415320.00%10460.00%01231229153.73%1070211250.66%575107653.44%169911771632522912455
5Comets31001100945210010007161000010023-150.83391726019659621310273558867553722117701119.09%6266.67%01231229153.73%1070211250.66%575107653.44%169911771632522912455
6Condors22000000835000000000002200000083541.000814220096596213687355886755338921426116.67%30100.00%01231229153.73%1070211250.66%575107653.44%169911771632522912455
7Crunch11000000422110000004220000000000021.00047110096596213317355886755323902410220.00%000%01231229153.73%1070211250.66%575107653.44%169911771632522912455
8Eagles20101000811-31010000048-41000100043120.500811190096596213757355886755347168468112.50%4250.00%01231229153.73%1070211250.66%575107653.44%169911771632522912455
9Firebirds3200100014861100000042221001000106461.000142741009659621382735588675538025195312541.67%70100.00%01231229153.73%1070211250.66%575107653.44%169911771632522912455
10Griffins321000009541010000001-12200000094540.667913220096596213657355886755387252274300.00%9277.78%01231229153.73%1070211250.66%575107653.44%169911771632522912455
11Gulls31101000752210010007431010000001-140.6677111800965962138973558867553641512679111.11%60100.00%01231229153.73%1070211250.66%575107653.44%169911771632522912455
12IceHogs32100000743110000002112110000053240.66771219009659621351735588675538528245911327.27%110100.00%01231229153.73%1070211250.66%575107653.44%169911771632522912455
13Manitoba Moose4110002012102100000104313110001087160.75012172900965962131137355886755312037249211218.18%120100.00%01231229153.73%1070211250.66%575107653.44%169911771632522912455
14Monsters31002000963100010002112100100075261.0009162500965962138673558867553701922899111.11%11281.82%01231229153.73%1070211250.66%575107653.44%169911771632522912455
15Penguins5320000017125220000009363120000089-160.600173148119659621314873558867553128413411621419.05%16381.25%01231229153.73%1070211250.66%575107653.44%169911771632522912455
16Reign3020010048-42010010035-21010000013-210.167481200965962138973558867553692423521218.33%8187.50%01231229153.73%1070211250.66%575107653.44%169911771632522912455
17Rocket4310000016793210000012571100000042260.75016284401965962131267355886755310225269020525.00%11190.91%01231229153.73%1070211250.66%575107653.44%169911771632522912455
18Senators11000000514110000005140000000000021.00051015009659621339735588675531252109333.33%10100.00%01231229153.73%1070211250.66%575107653.44%169911771632522912455
19Silver Knights312000001013-32110000079-21010000034-120.33310172700965962137573558867553822127613133.33%9366.67%01231229153.73%1070211250.66%575107653.44%169911771632522912455
20Stars3210000015105110000006332110000097240.667153045009659621395735588675539133167417529.41%7185.71%01231229153.73%1070211250.66%575107653.44%169911771632522912455
21Wolf Pack321000001165211000005501100000061540.667112031009659621310273558867553662521599111.11%8187.50%01231229153.73%1070211250.66%575107653.44%169911771632522912455
22Wolves5210000218180310000021011-12110000087160.600183250009659621315273558867553140486510625624.00%20480.00%01231229153.73%1070211250.66%575107653.44%169911771632522912455
23Wranglers311010009631010000034-12100100062440.6679142300965962139973558867553772322487228.57%110100.00%01231229153.73%1070211250.66%575107653.44%169911771632522912455
Total7033220823222817553351810031121168729351512051201128824920.6572283926201396596213203773558867553177154551115452575521.40%2033284.24%11231229153.73%1070211250.66%575107653.44%169911771632522912455
_Since Last GM Reset7033220823222817553351810031121168729351512051201128824920.6572283926201396596213203773558867553177154551115452575521.40%2033284.24%11231229153.73%1070211250.66%575107653.44%169911771632522912455
_Vs Conference3819130202212696301912301012744529197100101052511480.632126219345129659621310947355886755310093122898591583824.05%1171785.47%11231229153.73%1070211250.66%575107653.44%169911771632522912455
_Vs Division1885010226148138500001233201310350101028280240.66761105166119659621353573558867553498162159408741925.68%65887.69%11231229153.73%1070211250.66%575107653.44%169911771632522912455

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7092W222839262020371771545511154513
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7033228232228175
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
351810311211687
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
351512512011288
Derniers 10 matchs
WLOTWOTL SOWSOL
621010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2575521.40%2033284.24%1
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
7355886755396596213
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
1231229153.73%1070211250.66%575107653.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
169911771632522912455


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
4 - 2024-12-2311Rocket1Marlies6WSommaire du match
5 - 2024-12-2423Reign2Marlies1LSommaire du match
7 - 2024-12-2633Marlies4Monsters3WXSommaire du match
9 - 2024-12-2847Penguins0Marlies4WSommaire du match
11 - 2024-12-3059Marlies3Penguins4LSommaire du match
13 - 2025-01-0170Marlies4Firebirds3WXSommaire du match
15 - 2025-01-0383Checkers3Marlies2LSommaire du match
17 - 2025-01-0595Americans2Marlies5WSommaire du match
19 - 2025-01-07108Marlies0Americans1LSommaire du match
21 - 2025-01-09118Marlies4Penguins2WSommaire du match
23 - 2025-01-11131Marlies1Penguins3LSommaire du match
25 - 2025-01-13142Firebirds2Marlies4WSommaire du match
27 - 2025-01-15153Marlies5Condors1WSommaire du match
29 - 2025-01-17166Checkers3Marlies5WSommaire du match
31 - 2025-01-19179Penguins3Marlies5WSommaire du match
32 - 2025-01-20184Marlies4Manitoba Moose1WSommaire du match
34 - 2025-01-22201Eagles8Marlies4LSommaire du match
36 - 2025-01-24211Marlies4Eagles3WXSommaire du match
38 - 2025-01-26225IceHogs1Marlies2WSommaire du match
40 - 2025-01-28235Marlies2Comets3LXSommaire du match
42 - 2025-01-30249Stars3Marlies6WSommaire du match
44 - 2025-02-01261Marlies4Wolves2WSommaire du match
46 - 2025-02-03274Marlies0IceHogs1LSommaire du match
48 - 2025-02-05282Marlies5Stars2WSommaire du match
49 - 2025-02-06288Rocket4Marlies2LSommaire du match
51 - 2025-02-08304Gulls1Marlies3WSommaire du match
53 - 2025-02-10317Admirals2Marlies5WSommaire du match
55 - 2025-02-12332Marlies5IceHogs2WSommaire du match
56 - 2025-02-13342Marlies4Wranglers1WSommaire du match
58 - 2025-02-15352Comets0Marlies5WSommaire du match
60 - 2025-02-17369Wolves5Marlies4LXXSommaire du match
62 - 2025-02-19378Marlies0Gulls1LSommaire du match
64 - 2025-02-21391Marlies4Wolves5LSommaire du match
66 - 2025-02-23400Bruins3Marlies1LSommaire du match
67 - 2025-02-24415Gulls3Marlies4WXSommaire du match
69 - 2025-02-26428Marlies4Checkers8LSommaire du match
71 - 2025-02-28439Marlies4Bruins3WXXSommaire du match
73 - 2025-03-02446Marlies2Wranglers1WXSommaire du match
74 - 2025-03-03456Reign3Marlies2LXSommaire du match
76 - 2025-03-05471Griffins1Marlies0LSommaire du match
79 - 2025-03-08490Americans4Marlies2LSommaire du match
81 - 2025-03-10506Wranglers4Marlies3LSommaire du match
82 - 2025-03-11517Marlies4Rocket2WSommaire du match
84 - 2025-03-13527Marlies6Griffins2WSommaire du match
85 - 2025-03-14538Silver Knights6Marlies3LSommaire du match
87 - 2025-03-16551Monsters1Marlies2WXSommaire du match
89 - 2025-03-18563Marlies3Monsters2WSommaire du match
91 - 2025-03-20577Marlies2Admirals4LSommaire du match
92 - 2025-03-21586Silver Knights3Marlies4WSommaire du match
93 - 2025-03-22596Marlies3Silver Knights4LSommaire du match
95 - 2025-03-24609Senators1Marlies5WSommaire du match
98 - 2025-03-27626Wolves2Marlies3WSommaire du match
100 - 2025-03-29643Marlies4Manitoba Moose3WXXSommaire du match
101 - 2025-03-30649Marlies6Wolf Pack1WSommaire du match
102 - 2025-03-31658Rocket0Marlies4WSommaire du match
104 - 2025-04-02669Marlies4Stars5LSommaire du match
105 - 2025-04-03684Wolves4Marlies3LXXSommaire du match
107 - 2025-04-05697Marlies2Admirals1WXSommaire du match
109 - 2025-04-07708Crunch2Marlies4WSommaire du match
110 - 2025-04-08714Marlies1Reign3LSommaire du match
112 - 2025-04-10728Comets1Marlies2WXSommaire du match
113 - 2025-04-11744Marlies2Americans1WSommaire du match
115 - 2025-04-13755Wolf Pack3Marlies5WSommaire du match
116 - 2025-04-14766Marlies6Firebirds3WSommaire du match
118 - 2025-04-16778Marlies0Manitoba Moose3LSommaire du match
119 - 2025-04-17787Manitoba Moose3Marlies4WXXSommaire du match
121 - 2025-04-19797Marlies3Condors2WSommaire du match
122 - 2025-04-20810Wolf Pack2Marlies0LSommaire du match
124 - 2025-04-22825Bruins1Marlies2WSommaire du match
126 - 2025-04-24837Marlies3Griffins2WSommaire du match
128 - 2025-04-26849Admirals-Marlies-
130 - 2025-04-28863Marlies-Senators-
132 - 2025-04-30875Manitoba Moose-Marlies-
133 - 2025-05-01883Marlies-Senators-
134 - 2025-05-02897Condors-Marlies-
136 - 2025-05-04908Marlies-Eagles-
138 - 2025-05-06921Senators-Marlies-
140 - 2025-05-08938Marlies-Condors-
141 - 2025-05-09946Senators-Marlies-
143 - 2025-05-11957Marlies-Crunch-
144 - 2025-05-12966Admirals-Marlies-
146 - 2025-05-14976Marlies-Crunch-



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

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 31,132,916$ 31,132,916$ 525,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 21 213,905$ 4,492,005$




Marlies Leaders statistiques des joueurs (saison régulière)

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

Marlies Leaders des statistiques des gardiens (saison régulière)

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

Marlies Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Marlies Leaders statistiques des joueurs (séries éliminatoires)

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

Marlies Leaders des statistiques des gardiens (séries éliminatoires)

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