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Marlies
GP: 28 | W: 14 | L: 11 | OTL: 3 | P: 31
GF: 117 | GA: 100 | PP%: 22.78% | PK%: 77.78%
DG: Eug Sorokin | Morale : 49 | Moyenne d’équipe : 64
Prochains matchs #300 vs Firebirds

Centre de jeu
Marlies
14-11-3, 31pts
5
FINAL
7 Tomahawks
18-6-2, 38pts
Team Stats
L3SéquenceW2
6-5-2Fiche domicile10-4-0
8-6-1Fiche domicile8-2-2
6-4-0Derniers 10 matchs8-2-0
4.18Buts par match 5.69
3.57Buts contre par match 4.65
22.78%Pourcentage en avantage numérique18.31%
77.78%Pourcentage en désavantage numérique76.67%
Nordiks
16-12-1, 33pts
7
FINAL
3 Marlies
14-11-3, 31pts
Team Stats
W2SéquenceL3
6-7-0Fiche domicile6-5-2
10-5-1Fiche domicile8-6-1
6-4-0Derniers 10 matchs6-4-0
5.59Buts par match 4.18
5.07Buts contre par match 3.57
29.31%Pourcentage en avantage numérique22.78%
71.95%Pourcentage en désavantage numérique77.78%
Marlies
14-11-3, 31pts
Jour 61
Firebirds
16-11-0, 32pts
Statistiques d’équipe
L3SéquenceOTW1
6-5-2Fiche domicile9-4-0
8-6-1Fiche visiteur7-7-0
6-4-010 derniers matchs7-3-0
4.18Buts par match 4.85
3.57Buts contre par match 4.85
22.78%Pourcentage en avantage numérique19.70%
77.78%Pourcentage en désavantage numérique80.00%
Broncos
11-12-3, 25pts
Jour 62
Marlies
14-11-3, 31pts
Statistiques d’équipe
W1SéquenceL3
7-7-0Fiche domicile6-5-2
4-5-3Fiche visiteur8-6-1
4-5-110 derniers matchs6-4-0
3.62Buts par match 4.18
4.27Buts contre par match 4.18
22.03%Pourcentage en avantage numérique22.78%
64.29%Pourcentage en désavantage numérique77.78%
Marlies
14-11-3, 31pts
Jour 63
Broncos
11-12-3, 25pts
Statistiques d’équipe
L3SéquenceW1
6-5-2Fiche domicile7-7-0
8-6-1Fiche visiteur4-5-3
6-4-010 derniers matchs4-5-1
4.18Buts par match 3.62
3.57Buts contre par match 3.62
22.78%Pourcentage en avantage numérique22.03%
77.78%Pourcentage en désavantage numérique64.29%
Meneurs d'équipe
Viktor ArvidssonButs
Viktor Arvidsson
17
Lars EllerPasses
Lars Eller
24
Philip TomasinoPoints
Philip Tomasino
33
Lars EllerPlus/Moins
Lars Eller
21
Philipp GrubauerVictoires
Philipp Grubauer
13
Marcus HogbergPourcentage d’arrêts
Marcus Hogberg
0.917

Statistiques d’équipe
Buts pour
117
4.18 GFG
Tirs pour
990
35.36 Avg
Pourcentage en avantage numérique
22.8%
18 GF
Début de zone offensive
41.3%
Buts contre
100
3.57 GAA
Tirs contre
889
31.75 Avg
Pourcentage en désavantage numérique
77.8%%
16 GA
Début de la zone défensive
38.2%
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 Pro20
Équipe Mineure18
Limite contact 38 / 50
Espoirs9


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)XX100.00615395745776897459706659515661059650222500,000$
2Lars Eller (A)X100.00675877657473906773656167548378065650361500,000$
3Maxim Tsyplakov (R)X100.00796177687676886750716161556567057640272750,000$
4Mark JankowskiXX100.00636084667771746768596775517373033640312500,000$
5Philip TomasinoX100.00695592746872757450676860515961066640244500,000$
6Viktor ArvidssonX100.00615781686576806850657263517472066640322500,000$
7Mitchell ChaffeeX100.00796187697370787050626761516565063630271500,000$
8Mattias JanmarkX100.00645785657473906356675173507474062630322500,000$
9Vasily PodkolzinXX100.00826183666972926550655866505962055630244500,000$
10Samuel GirardX100.00655689655978877150675076556669029660273500,000$
11Erik Johnson (C)X100.00766885608065626350555474558582054650371500,000$
12Jan RuttaX100.00686074627471726750595273558179065650351500,000$
13Travis HamonicX100.00726487626971766650585371558178062650351500,000$
14Calvin de HaanX100.00745786626867686950635270557977065640341500,000$
15Jack Johnson (A)X100.00655796617964646750615371558682063640381500,000$
16Justin HollX100.00625788617067856550575171557776060640331500,000$
17Marc Del Gaizo (R)X100.00736483636670686650594969556365057620261500,000$
Rayé
1Linus Karlsson (R)XXX100.00685686676366557150606159506161060600263750,000$
MOYENNE D’ÉQUIPE100.0069598565707177685363586853727105864
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 Grubauer100.0064736971726765676350707575024660341500,000$
2Marcus Hogberg100.0061676684576356565450666969067610311500,000$
Rayé
MOYENNE D’ÉQUIPE100.006370687865656162595068727204664
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
1Philip TomasinoMarlies (TOR)RW2815183391203243100327415.00%455419.821459570110511255.56%6300001.1901000324
2Lars EllerMarlies (TOR)C28624302110035808029857.50%661121.831458570001480161.61%77100000.9800000140
3Mattias JanmarkMarlies (TOR)C2892130640354964213214.06%1045516.2500000000150058.98%51200001.3200000122
4Viktor ArvidssonMarlies (TOR)LW261711281860163085296720.00%451719.9143712590003423047.62%4200001.0801000242
5Calvin de HaanMarlies (TOR)D2841923720052234212339.52%3358020.732461668000133100%000000.7900000022
6Logan StankovenMarlies (TOR)C/RW28111223-122058599317211.11%560821.7216714700001581054.77%81800000.7601000301
7Jan RuttaMarlies (TOR)D2851621980472040112612.50%2458921.042462267000053100%000000.7100000112
8Mitchell ChaffeeMarlies (TOR)RW28813211512043228822659.09%146216.52101958000010047.37%3800000.9100000401
9Travis HamonicMarlies (TOR)D2851318320053182371221.74%2647817.0700004101127000%000000.7500000130
10Jack JohnsonMarlies (TOR)D283131626019234017197.50%2653619.172242259000036200%000000.6000000002
11Erik JohnsonMarlies (TOR)D2869155140852041153814.63%4159321.184151758000045100%000000.5100000211
12Maxim TsyplakovMarlies (TOR)RW2831215-1212060348332443.61%552118.640331156000001063.33%3000000.5711000010
13Vasily PodkolzinMarlies (TOR)LW/RW286915-1612062277522598.00%557220.450002190000200048.78%4100000.5200000002
14Justin HollMarlies (TOR)D2821012418024111941810.53%3248317.2700026000133000%000000.5000000001
15Linus KarlssonMarlies (TOR)C/LW/RW247512860311963133211.11%235714.9100022000012148.28%2900000.6700000023
16Ilya MikheyevToronto Maple LeafsRW47310820432861525.00%27619.0201145000001040.00%500012.6300000201
17Marc Del GaizoMarlies (TOR)D280334201033030%91063.810000000006000%000000.5600000001
18Mark JankowskiMarlies (TOR)C/LW2202000251171218.18%24120.5700002000030066.67%300000.9700000010
Statistiques d’équipe totales ou en moyenne44811621132779166061551598431070611.79%237814618.18183250150654112947014457.61%235200010.8014000202325
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)28131020.8863.671506019280500000280200
2Marcus HogbergMarlies (TOR)51110.9172.39176007840000.5004028000
Statistiques d’équipe totales ou en moyenne33141130.8893.531683019988900042828200


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$33,611$No---------------------------Lien / Lien NHL
Erik JohnsonMarlies (TOR)D371988-03-21USANo225 Lbs6 ft4NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien / Lien NHL
Jack JohnsonMarlies (TOR)D381987-01-13USANo225 Lbs6 ft2NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien / Lien NHL
Jan RuttaMarlies (TOR)D351990-07-29CZENo204 Lbs6 ft3NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien / Lien NHL
Justin HollMarlies (TOR)D331992-01-30USANo194 Lbs6 ft4NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien / Lien NHL
Lars EllerMarlies (TOR)C361989-05-08DNKNo208 Lbs6 ft2NoNoFree Agent2025-03-02NoNo12025-08-17FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien / Lien NHL
Linus KarlssonMarlies (TOR)C/LW/RW261999-11-16SWEYes178 Lbs6 ft1NoNoFree AgentNoNo32024-09-12FalseFalsePro & Farm750,000$75,000$50,417$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$33,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Marc Del GaizoMarlies (TOR)D261999-10-11USAYes188 Lbs5 ft11NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien
Marcus HogbergMarlies (TOR)G311994-11-25SWENo234 Lbs6 ft5NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien / Lien NHL
Mark JankowskiMarlies (TOR)C/LW311994-09-13CANNo212 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Mattias JanmarkMarlies (TOR)C321992-12-08SWENo205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$33,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Maxim TsyplakovMarlies (TOR)RW271998-09-19RUSYes210 Lbs6 ft3NoNoFree AgentNoNo22025-08-08FalseFalsePro & Farm750,000$75,000$50,417$No750,000$--------750,000$--------No--------Lien / Lien NHL
Mitchell ChaffeeMarlies (TOR)RW271998-01-26USANo204 Lbs6 ft1NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien / Lien NHL
Philip TomasinoMarlies (TOR)RW242001-07-28CANNo190 Lbs6 ft0NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$33,611$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$33,611$No---------------------------Lien / Lien NHL
Samuel GirardMarlies (TOR)D271998-05-12CANNo170 Lbs5 ft10NoNoTrade2025-07-20NoNo32024-08-19FalseFalsePro & Farm500,000$50,000$33,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Travis HamonicMarlies (TOR)D351990-08-16CANNo195 Lbs6 ft0NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$33,611$No---------------------------Lien / Lien NHL
Vasily PodkolzinMarlies (TOR)LW/RW242001-06-24RUSNo190 Lbs6 ft1NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$33,611$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$33,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2030.55198 Lbs6 ft11.75525,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Viktor ArvidssonLars Eller35122
2Vasily PodkolzinLogan StankovenMaxim Tsyplakov35122
3Mattias JanmarkPhilip Tomasino25122
4Lars EllerMitchell Chaffee5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonJan Rutta35122
2Calvin de HaanJack Johnson35122
3Travis HamonicJustin Holl30122
4Marc Del GaizoErik Johnson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Viktor ArvidssonLogan Stankoven60122
2Vasily PodkolzinLars EllerMaxim Tsyplakov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack JohnsonCalvin de Haan60122
2Erik JohnsonJan Rutta40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lars EllerViktor Arvidsson60122
2Logan StankovenVasily Podkolzin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis HamonicJustin Holl60122
2Erik JohnsonJan Rutta40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lars Eller60122Erik JohnsonJan Rutta60122
2Logan Stankoven40122Calvin de HaanJack Johnson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lars Eller60122
2Logan StankovenViktor Arvidsson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonJan Rutta60122
2Calvin de HaanJack Johnson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Viktor ArvidssonLars EllerJack JohnsonCalvin de Haan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Viktor ArvidssonLars EllerErik JohnsonJan Rutta
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mitchell Chaffee, Philip Tomasino, Mattias JanmarkPhilip Tomasino, Mitchell ChaffeePhilip Tomasino
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Travis Hamonic, Justin Holl, Marc Del GaizoTravis HamonicTravis Hamonic, Justin Holl
Tirs de pénalité
, Lars Eller, Logan Stankoven, Maxim Tsyplakov, Philip Tomasino
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
1Admirals1010000034-1000000000001010000034-100.000358004740292223193433221027101612200.00%7271.43%155796957.48%50989556.87%29048060.42%778567561181347186
2Americiens321000001495211000008531100000064240.6671424380047402921033193433221010027166611327.27%6350.00%055796957.48%50989556.87%29048060.42%778567561181347186
3Barons11000000523000000000001100000052321.00059140047402923431934332210234013000%000%055796957.48%50989556.87%29048060.42%778567561181347186
4Barracuda11000000431000000000001100000043121.0004812004740292393193433221028810212150.00%5180.00%055796957.48%50989556.87%29048060.42%778567561181347186
5Broncos11000000211110000002110000000000021.0002350047402922731934332210174619300.00%20100.00%055796957.48%50989556.87%29048060.42%778567561181347186
6Bruins2010100056-11010000024-21000100032120.5005914004740292643193433221047146376116.67%10100.00%055796957.48%50989556.87%29048060.42%778567561181347186
7Butter Knives733001003427721100000963522001002521470.50034629600474029226531934332210277674818025728.00%22481.82%055796957.48%50989556.87%29048060.42%778567561181347186
8Fighting Pandas3200000116971000000178-12200000091850.83316294501474029280319343322108623165511327.27%6266.67%055796957.48%50989556.87%29048060.42%778567561181347186
9Firebirds1000010034-11000010034-10000000000010.50035800474029239319343322103610011300.00%000%055796957.48%50989556.87%29048060.42%778567561181347186
10Lynx2020000057-21010000034-11010000023-100.0005914004740292663193433221034131440300.00%70100.00%055796957.48%50989556.87%29048060.42%778567561181347186
11Nordiks1010000037-41010000037-40000000000000.00036900474029247319343322104112821000%4325.00%055796957.48%50989556.87%29048060.42%778567561181347186
12Tomahawks2110000011101110000006331010000057-220.5001120310047402929731934332210692310557228.57%4175.00%055796957.48%50989556.87%29048060.42%778567561181347186
13Wombats11000000422110000004220000000000021.00046100047402922831934332210285425100.00%20100.00%055796957.48%50989556.87%29048060.42%778567561181347186
14Wranglers2110000089-1110000007611010000013-220.500816240047402927931934332210761714625120.00%60100.00%055796957.48%50989556.87%29048060.42%778567561181347186
Total281311012011171001713650010154504157601100635013310.55411721132801474029299031934332210889237168617791822.78%721677.78%155796957.48%50989556.87%29048060.42%778567561181347186
_Since Last GM Reset281311012011171001713650010154504157601100635013310.55411721132801474029299031934332210889237168617791822.78%721677.78%155796957.48%50989556.87%29048060.42%778567561181347186
_Vs Conference21980120186691710440010138344115401100483513230.5488615223801474029269431934332210652173126445651421.54%531179.25%155796957.48%50989556.87%29048060.42%778567561181347186
_Vs Division1777011017458167240000129272105301100453114180.5297413320701474029257831934332210544144100378561425.00%42978.57%055796957.48%50989556.87%29048060.42%778567561181347186

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2831L311721132899088923716861701
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2813111201117100
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
136501015450
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
157611006350
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
791822.78%721677.78%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
319343322104740292
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
55796957.48%50989556.87%29048060.42%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
778567561181347186


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
61300Marlies-Firebirds-
62307Broncos-Marlies-
63314Marlies-Broncos-
66328Wombats-Marlies-
69342Marlies-Wombats-
70350Broncos-Marlies-
74365Marlies-Fighting Pandas-
75373Admirals-Marlies-
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
28 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
509,717$ 1,050,000$ 1,050,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,050,000$ 345,815$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 121 8,611$ 1,041,931$




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