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Marlies
GP: 36 | W: 21 | L: 12 | OTL: 3 | P: 45
GF: 155 | GA: 125 | PP%: 26.80% | PK%: 78.02%
DG: Eug Sorokin | Morale : 59 | Moyenne d’équipe : 64
Prochains matchs #393 vs Roadrunners

Centre de jeu
Marlies
21-12-3, 45pts
4
FINAL
3 Fighting Pandas
17-12-6, 40pts
Team Stats
W2SéquenceOTL1
9-6-2Fiche domicile7-6-5
12-6-1Fiche domicile10-6-1
7-3-0Derniers 10 matchs3-4-3
4.31Buts par match 4.20
3.47Buts contre par match 3.71
26.80%Pourcentage en avantage numérique25.71%
78.02%Pourcentage en désavantage numérique81.19%
Admirals
6-28-1, 13pts
4
FINAL
5 Marlies
21-12-3, 45pts
Team Stats
L3SéquenceW2
2-14-1Fiche domicile9-6-2
4-14-0Fiche domicile12-6-1
1-9-0Derniers 10 matchs7-3-0
3.54Buts par match 4.31
6.03Buts contre par match 3.47
24.21%Pourcentage en avantage numérique26.80%
67.61%Pourcentage en désavantage numérique78.02%
Roadrunners
26-8-1, 53pts
Jour 79
Marlies
21-12-3, 45pts
Statistiques d’équipe
W4SéquenceW2
16-2-0Fiche domicile9-6-2
10-6-1Fiche visiteur12-6-1
8-2-010 derniers matchs7-3-0
3.83Buts par match 4.31
2.74Buts contre par match 4.31
30.12%Pourcentage en avantage numérique26.80%
86.08%Pourcentage en désavantage numérique78.02%
Marlies
21-12-3, 45pts
Jour 81
Lions
14-22-0, 28pts
Statistiques d’équipe
W2SéquenceW1
9-6-2Fiche domicile10-7-0
12-6-1Fiche visiteur4-15-0
7-3-010 derniers matchs6-4-0
4.31Buts par match 4.58
3.47Buts contre par match 4.58
26.80%Pourcentage en avantage numérique21.62%
78.02%Pourcentage en désavantage numérique75.70%
Firebirds
19-17-0, 38pts
Jour 82
Marlies
21-12-3, 45pts
Statistiques d’équipe
L2SéquenceW2
11-6-0Fiche domicile9-6-2
8-11-0Fiche visiteur12-6-1
4-6-010 derniers matchs7-3-0
4.56Buts par match 4.31
4.53Buts contre par match 4.31
16.85%Pourcentage en avantage numérique26.80%
80.23%Pourcentage en désavantage numérique78.02%
Meneurs d'équipe
Viktor ArvidssonButs
Viktor Arvidsson
26
Lars EllerPasses
Lars Eller
34
Lars EllerPoints
Lars Eller
45
Lars EllerPlus/Moins
Lars Eller
31
Philipp GrubauerVictoires
Philipp Grubauer
20
Marcus HogbergPourcentage d’arrêts
Marcus Hogberg
0.917

Statistiques d’équipe
Buts pour
155
4.31 GFG
Tirs pour
1227
34.08 Avg
Pourcentage en avantage numérique
26.8%
26 GF
Début de zone offensive
41.2%
Buts contre
125
3.47 GAA
Tirs contre
1091
30.31 Avg
Pourcentage en désavantage numérique
78.0%%
20 GA
Début de la zone défensive
37.9%
Informations de l'équipe

Directeur généralEug Sorokin
EntraîneurSheldon Keefe
DivisionAtlantic
ConférenceEastern Conference
CapitaineErik Johnson
Assistant #1Jack Johnson
Assistant #2Lars Eller


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure18
Limite contact 37 / 50
Espoirs10


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
1Logan Stankoven (R)XX100.00615395745776897459716759515661074650222500,000$
2Lars Eller (A)X100.00675878657473906773666168548378081650361500,000$
3Maxim Tsyplakov (R)X100.00796178687676886750716160556567071640272750,000$
4Mark JankowskiXX100.00636084667771746768596775517373040640312500,000$
5Philip TomasinoX100.00695592746872757450686859515961079640244500,000$
6Viktor ArvidssonX100.00605782686576806850657363517472082640322500,000$
7Mitchell ChaffeeX100.00806187697370787050626761516565076630271500,000$
8Mattias JanmarkX100.00645786657473906456675172507474077630332500,000$
9Vasily PodkolzinXX100.00826183666972926650655866505962071630244500,000$
10Linus Karlsson (R)XXX100.00685686676366557150606059506161058600263750,000$
11Erik Johnson (C)X100.00766885608065626350555574558582071650371500,000$
12Jan RuttaX100.00686074627471726750605473558179081650351500,000$
13Travis HamonicX100.00736487626971766650585471558178076650351500,000$
14Calvin de HaanX100.00755786626867687050645270557977079640341500,000$
15Jack Johnson (A)X100.00655797617964646750615371558682077640381500,000$
16Justin HollX100.00625788617067856550575071557776073640331500,000$
17Marc Del Gaizo (R)X100.00736483636670686650584969556365069620261500,000$
Rayé
MOYENNE D’ÉQUIPE100.0070598565717177685363596753727107364
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
1Philipp Grubauer100.0064736971726765676350707575036660341500,000$
2Marcus Hogberg100.0061676684576356565450666969081610311500,000$
Rayé
MOYENNE D’ÉQUIPE100.006370687865656162595068727205964
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe7585859075751CAN456500,000$


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
1Lars EllerMarlies (TOR)C361134453114044100117341119.40%778721.882689690001610262.44%98500101.1400000261
2Philip TomasinoMarlies (TOR)RW36172340718042521384310012.32%870819.681459600110541256.41%7800001.1301000335
3Viktor ArvidssonMarlies (TOR)LW3426133926601838110368023.64%464318.9463917750003565146.15%5200001.2101000542
4Mattias JanmarkMarlies (TOR)C36122436560416784254514.29%1260616.85000000001131055.40%69500001.1900000132
5Logan StankovenMarlies (TOR)C/RW36141832-11208104115379012.17%574820.7827919840001652054.14%97900000.8601000411
6Calvin de HaanMarlies (TOR)D36526317240643650144110.00%4374120.602571783000140100%000000.8400000042
7Jan RuttaMarlies (TOR)D368212917140572451143015.69%3574120.613472580000061100%000010.7800000212
8Mitchell ChaffeeMarlies (TOR)RW369152419140572910125768.91%157515.97101961000020048.94%4700000.8300000401
9Erik JohnsonMarlies (TOR)D3691423132001012851214517.65%4775821.075271970000051100%000000.6100000212
10Vasily PodkolzinMarlies (TOR)LW/RW3691423-1416084349131699.89%574420.692244280000331150.91%5500000.6200000003
11Travis HamonicMarlies (TOR)D3661622320071252991520.69%3062717.4400028101144010%000000.7000000131
12Maxim TsyplakovMarlies (TOR)RW3641721-1214073469735564.12%565118.100551467000002063.83%4700000.6411000011
13Jack JohnsonMarlies (TOR)D364162036023345021238.00%3469619.352462871000044200%000000.5700000002
14Justin HollMarlies (TOR)D362151752203020255188.00%3662717.4200037000147000%000000.5400000001
15Linus KarlssonMarlies (TOR)C/LW/RW267512860311963133211.11%236714.1400023000032145.71%3500000.6500000023
16Ilya MikheyevToronto Maple LeafsRW47310820432861525.00%27619.0201145000001040.00%500012.6300000201
17Mark JankowskiMarlies (TOR)C/LW4314300381581420.00%28220.6001106000071057.14%700000.9700000010
18Marc Del GaizoMarlies (TOR)D360333201353030%121393.8900000000011000%000000.4300000001
Statistiques d’équipe totales ou en moyenne5721532784311212060764672121837786312.56%2901032618.05264470181785112960021856.98%298500120.8314000263031
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
1Philipp GrubauerMarlies (TOR)36201120.8843.53199121117100700000360200
2Marcus HogbergMarlies (TOR)51110.9172.39176007840000.5004036000
Statistiques d’équipe totales ou en moyenne41211230.8863.43216721124109100043636200


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
Calvin de HaanMarlies (TOR)D341991-05-09CANNo192 Lbs6 ft1NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Erik JohnsonMarlies (TOR)D371988-03-21USANo225 Lbs6 ft4NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Jack JohnsonMarlies (TOR)D381987-01-13USANo225 Lbs6 ft2NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Jan RuttaMarlies (TOR)D351990-07-29CZENo204 Lbs6 ft3NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Justin HollMarlies (TOR)D331992-01-30USANo194 Lbs6 ft4NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Lars EllerMarlies (TOR)C361989-05-08DNKNo208 Lbs6 ft2NoNoFree Agent2025-03-02NoNo12025-08-17FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Linus KarlssonMarlies (TOR)C/LW/RW261999-11-16SWEYes178 Lbs6 ft1NoNoFree AgentNoNo32024-09-12FalseFalsePro & Farm750,000$75,000$42,917$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Logan StankovenMarlies (TOR)C/RW222003-02-26CANYes165 Lbs5 ft8NoNoProspectNoNo22024-08-10FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Marc Del GaizoMarlies (TOR)D261999-10-11USAYes188 Lbs5 ft11NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien
Marcus HogbergMarlies (TOR)G311994-11-25SWENo234 Lbs6 ft5NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Mark JankowskiMarlies (TOR)C/LW311994-09-13CANNo212 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Mattias JanmarkMarlies (TOR)C331992-12-08SWENo205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Maxim TsyplakovMarlies (TOR)RW271998-09-19RUSYes210 Lbs6 ft3NoNoFree AgentNoNo22025-08-08FalseFalsePro & Farm750,000$75,000$42,917$No750,000$--------750,000$--------No--------Lien / Lien NHL
Mitchell ChaffeeMarlies (TOR)RW271998-01-26USANo204 Lbs6 ft1NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Philip TomasinoMarlies (TOR)RW242001-07-28CANNo190 Lbs6 ft0NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Philipp GrubauerMarlies (TOR)G341991-11-25DEUNo188 Lbs6 ft1NoNoFree AgentNoNo12025-08-17FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Travis HamonicMarlies (TOR)D351990-08-16CANNo195 Lbs6 ft0NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Vasily PodkolzinMarlies (TOR)LW/RW242001-06-24RUSNo190 Lbs6 ft1NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Viktor ArvidssonMarlies (TOR)LW321993-04-08SWENo185 Lbs5 ft10NoNoFree AgentNoNo22025-08-17FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1930.79200 Lbs6 ft11.68526,316$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mark JankowskiLogan StankovenMitchell Chaffee35122
2Viktor ArvidssonLars EllerMaxim Tsyplakov35122
3Vasily PodkolzinMattias JanmarkPhilip Tomasino25122
4Viktor ArvidssonLinus KarlssonPhilip Tomasino5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonJan Rutta35122
2Travis HamonicCalvin de Haan35122
3Jack JohnsonJustin Holl30122
4Marc Del GaizoJack Johnson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mark JankowskiLogan StankovenMitchell Chaffee60122
2Viktor ArvidssonLars EllerMaxim Tsyplakov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonJan Rutta60122
2Travis HamonicCalvin de Haan40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mattias JanmarkVasily Podkolzin60122
2Lars EllerViktor Arvidsson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack JohnsonJustin Holl60122
2Travis HamonicCalvin de Haan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lars Eller60122Erik JohnsonJan Rutta60122
2Mattias Janmark40122Travis HamonicCalvin de Haan40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Logan StankovenMark Jankowski60122
2Lars EllerViktor Arvidsson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonJan Rutta60122
2Travis HamonicCalvin de Haan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mark JankowskiLogan StankovenMitchell ChaffeeErik JohnsonJan Rutta
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mark JankowskiLogan StankovenVasily PodkolzinErik JohnsonJan Rutta
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Linus Karlsson, Mattias Janmark, Vasily PodkolzinPhilip Tomasino, Vasily PodkolzinMark Jankowski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Johnson, Justin Holl, Marc Del GaizoJack JohnsonJack Johnson, Justin Holl
Tirs de pénalité
Logan Stankoven, Lars Eller, Maxim Tsyplakov, Philip Tomasino, Mark Jankowski
Gardien
#1 : Philipp Grubauer, #2 : Marcus Hogberg


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
1Admirals21100000880110000005411010000034-120.500814220057563944739543239212511726237114.29%12558.33%1701122857.08%634113056.11%37362659.58%979708740236452240
2Americiens321000001495211000008531100000064240.6671424380057563941033954323921210027166611327.27%6350.00%0701122857.08%634113056.11%37362659.58%979708740236452240
3Barons11000000523000000000001100000052321.00059140057563943439543239212234013000%000%0701122857.08%634113056.11%37362659.58%979708740236452240
4Barracuda11000000431000000000001100000043121.0004812005756394393954323921228810212150.00%5180.00%0701122857.08%634113056.11%37362659.58%979708740236452240
5Broncos421010001495311010008711100000062460.750142640005756394106395432392129422166310440.00%50100.00%0701122857.08%634113056.11%37362659.58%979708740236452240
6Bruins2010100056-11010000024-21000100032120.5005914005756394643954323921247146376116.67%10100.00%0701122857.08%634113056.11%37362659.58%979708740236452240
7Butter Knives733001003427721100000963522001002521470.50034629600575639426539543239212277674818025728.00%22481.82%0701122857.08%634113056.11%37362659.58%979708740236452240
8Fighting Pandas43000001201281000000178-133000000134970.8752036560157563941113954323921210825248212325.00%10370.00%0701122857.08%634113056.11%37362659.58%979708740236452240
9Firebirds2100010010911000010034-11100000075230.750101727005756394733954323921256164335120.00%10100.00%0701122857.08%634113056.11%37362659.58%979708740236452240
10Lynx2020000057-21010000034-11010000023-100.0005914005756394663954323921234131440300.00%70100.00%0701122857.08%634113056.11%37362659.58%979708740236452240
11Nordiks1010000037-41010000037-40000000000000.00036900575639447395432392124112821000%4325.00%0701122857.08%634113056.11%37362659.58%979708740236452240
12Tomahawks2110000011101110000006331010000057-220.5001120310057563949739543239212692310557228.57%4175.00%0701122857.08%634113056.11%37362659.58%979708740236452240
13Wombats320010001477210010009631100000051461.0001425390057563949639543239212872516754250.00%80100.00%0701122857.08%634113056.11%37362659.58%979708740236452240
14Wranglers2110000089-1110000007611010000013-220.500816240057563947939543239212761714625120.00%60100.00%0701122857.08%634113056.11%37362659.58%979708740236452240
Total3618120320115512530177602101706461911601100856124450.6251552814360157563941227395432392121091290212771972626.80%912078.02%1701122857.08%634113056.11%37362659.58%979708740236452240
_Since Last GM Reset3618120320115512530177602101706461911601100856124450.6251552814360157563941227395432392121091290212771972626.80%912078.02%1701122857.08%634113056.11%37362659.58%979708740236452240
_Vs Conference2914903201124943014550210154486159401100704624370.63812422234601575639493139543239212854226170599832226.51%721579.17%1701122857.08%634113056.11%37362659.58%979708740236452240
_Vs Division1887011017861177240000129272116301100493415200.5567814021801575639460939543239212566146108405571424.56%461078.26%0701122857.08%634113056.11%37362659.58%979708740236452240

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3645W21552814361227109129021277101
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3618123201155125
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
177621017064
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1911611008561
Derniers 10 matchs
WLOTWOTL SOWSOL
532000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
972626.80%912078.02%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
395432392125756394
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
701122857.08%634113056.11%37362659.58%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
979708740236452240


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
13Marlies2Butter Knives4LSommaire du match
27Marlies6Fighting Pandas1WSommaire du match
621Bruins4Marlies2LSommaire du match
730Marlies5Butter Knives6LXSommaire du match
941Butter Knives4Marlies3LSommaire du match
1256Marlies2Lynx3LSommaire du match
1360Marlies4Butter Knives5LSommaire du match
1466Firebirds4Marlies3LXSommaire du match
1883Marlies7Butter Knives3WSommaire du match
1990Broncos1Marlies2WSommaire du match
22107Americiens3Marlies2LSommaire du match
25118Marlies7Butter Knives3WSommaire du match
27128Lynx4Marlies3LSommaire du match
29140Marlies3Bruins2WXSommaire du match
31147Marlies3Fighting Pandas0WSommaire du match
32154Fighting Pandas8Marlies7LXXSommaire du match
33161Marlies6Americiens4WSommaire du match
37176Wranglers6Marlies7WSommaire du match
40188Marlies1Wranglers3LSommaire du match
42197Tomahawks3Marlies6WSommaire du match
45213Marlies4Barracuda3WSommaire du match
46218Wombats2Marlies4WSommaire du match
49232Marlies5Barons2WSommaire du match
50241Butter Knives2Marlies6WSommaire du match
53258Americiens2Marlies6WSommaire du match
54268Marlies3Admirals4LSommaire du match
56275Marlies5Tomahawks7LSommaire du match
58285Nordiks7Marlies3LSommaire du match
61300Marlies7Firebirds5WSommaire du match
62307Broncos3Marlies2LSommaire du match
63314Marlies6Broncos2WSommaire du match
66328Wombats4Marlies5WXSommaire du match
69342Marlies5Wombats1WSommaire du match
70350Broncos3Marlies4WXSommaire du match
74365Marlies4Fighting Pandas3WSommaire du match
75373Admirals4Marlies5WSommaire du match
79393Roadrunners-Marlies-
81405Marlies-Lions-
82415Firebirds-Marlies-
85427Marlies-Lynx-
87437Firebirds-Marlies-
89449Marlies-Aces-
91455Marlies-Nordiks-
93462Bruins-Marlies-
96477Wranglers-Marlies-
98486Marlies-Wombats-
100497Marlies-Quacken-
101505Quacken-Marlies-
103515Marlies-Canucks-
105526Lynx-Marlies-
107541Marlies-Firebirds-
108548Barons-Marlies-
112566Bruins-Marlies-
113573Marlies-Americiens-
116586Admirals-Marlies-
118594Marlies-Broncos-
120605Marlies-Griffins-
121613Butter Knives-Marlies-
124633Ice Bats-Marlies-
126642Marlies-Butter Knives-
128652Marlies-Fighting Pandas-
130658Roadrunners-Marlies-
131664Marlies-Lynx-
133680Americiens-Marlies-
135690Marlies-Butter Knives-
138701Lynx-Marlies-
139710Marlies-Ice Bats-
141721Lions-Marlies-
146739Griffins-Marlies-
147749Marlies-Americiens-
149758Marlies-Roadrunners-
150768Barracuda-Marlies-
154787Barracuda-Marlies-
158803Marlies-Admirals-
159809Fighting Pandas-Marlies-
163827Canucks-Marlies-
167846Fighting Pandas-Marlies-
168853Marlies-Bruins-
171865Aces-Marlies-
173874Marlies-Roadrunners-
176889Marlies-Bruins-
178896Aces-Marlies-



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
24 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
663,603$ 1,000,000$ 1,000,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,000,000$ 449,701$ 19 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 103 8,333$ 858,299$




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