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Marlies
GP: 54 | W: 36 | L: 15 | OTL: 3 | P: 75
GF: 236 | GA: 173 | PP%: 26.72% | PK%: 75.94%
DG: Eug Sorokin | Morale : 79 | Moyenne d’équipe : 64
Prochains matchs #586 vs Admirals

Centre de jeu
Bruins
13-33-8, 34pts
4
FINAL
6 Marlies
36-15-3, 75pts
Team Stats
L2SéquenceL1
5-17-4Fiche domicile18-6-2
8-16-4Fiche domicile18-9-1
1-7-2Derniers 10 matchs8-2-0
3.30Buts par match 4.37
4.87Buts contre par match 3.20
25.69%Pourcentage en avantage numérique26.72%
74.48%Pourcentage en désavantage numérique75.94%
Marlies
36-15-3, 75pts
3
FINAL
5 Americiens
29-19-2, 60pts
Team Stats
L1SéquenceW2
18-6-2Fiche domicile14-12-1
18-9-1Fiche domicile15-7-1
8-2-0Derniers 10 matchs6-4-0
4.37Buts par match 4.86
3.20Buts contre par match 4.66
26.72%Pourcentage en avantage numérique22.52%
75.94%Pourcentage en désavantage numérique72.36%
Admirals
16-32-3, 35pts
Jour 116
Marlies
36-15-3, 75pts
Statistiques d’équipe
W2SéquenceL1
7-18-2Fiche domicile18-6-2
9-14-1Fiche visiteur18-9-1
8-1-110 derniers matchs8-2-0
3.80Buts par match 4.37
5.35Buts contre par match 4.37
24.39%Pourcentage en avantage numérique26.72%
69.79%Pourcentage en désavantage numérique75.94%
Marlies
36-15-3, 75pts
Jour 118
Broncos
22-22-7, 51pts
Statistiques d’équipe
L1SéquenceSOL1
18-6-2Fiche domicile13-13-1
18-9-1Fiche visiteur9-9-6
8-2-010 derniers matchs6-3-1
4.37Buts par match 3.35
3.20Buts contre par match 3.35
26.72%Pourcentage en avantage numérique21.36%
75.94%Pourcentage en désavantage numérique63.74%
Marlies
36-15-3, 75pts
Jour 120
Griffins
30-23-0, 60pts
Statistiques d’équipe
L1SéquenceW3
18-6-2Fiche domicile16-10-0
18-9-1Fiche visiteur14-13-0
8-2-010 derniers matchs7-3-0
4.37Buts par match 5.55
3.20Buts contre par match 5.55
26.72%Pourcentage en avantage numérique21.24%
75.94%Pourcentage en désavantage numérique73.60%
Meneurs d'équipe
Philip TomasinoButs
Philip Tomasino
26
Lars EllerPasses
Lars Eller
41
Lars EllerPoints
Lars Eller
60
Lars EllerPlus/Moins
Lars Eller
40
Philipp GrubauerVictoires
Philipp Grubauer
35
Marcus HogbergPourcentage d’arrêts
Marcus Hogberg
0.917

Statistiques d’équipe
Buts pour
236
4.37 GFG
Tirs pour
1831
33.91 Avg
Pourcentage en avantage numérique
26.7%
35 GF
Début de zone offensive
41.3%
Buts contre
173
3.20 GAA
Tirs contre
1568
29.04 Avg
Pourcentage en désavantage numérique
75.9%%
32 GA
Début de la zone défensive
37.6%
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 Pro18
Équipe Mineure19
Limite contact 37 / 50
Espoirs12


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)XX100.00615395745776897560726759515762088650222500,000$
2Maxim Tsyplakov (R)X100.00796178687676886850726160556668087650272750,000$
3Lars Eller (A)X100.00675878647373906873676268548479092650361500,000$
4Mark JankowskiXX100.00636084667771746868596975517474072650312500,000$
5Philip TomasinoX100.00695593756972757450686960516062089650244500,000$
6Mitchell ChaffeeX100.00806188697370787050636760516666087640281500,000$
7Mattias JanmarkX100.00645786657473906456675273507575089640332500,000$
8Vasily PodkolzinXX100.00826184677072926650655966506063089630244500,000$
9Linus Karlsson (R)XXX100.00685687676366557150596059506262082590263750,000$
10Calvin de HaanX100.00755786626867687150655271558078089650341500,000$
11Erik Johnson (C)X100.00766885608065626450565575558683087650371500,000$
12Jack Johnson (A)X100.00655797607864646850635472558783088650391500,000$
13Jan RuttaX100.00686075627471726850615474558280089650351500,000$
14Travis HamonicX100.00736487626971766750595571558279088650351500,000$
15Justin HollX100.00625788617067856750595271557877087640331500,000$
16Marc Del Gaizo (R)X100.00736483636670686550584968556466086620261500,000$
Rayé
MOYENNE D’ÉQUIPE100.0070598665717077685463596853737208764
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 Grubauer100.0064736971726865686450707676065660341500,000$
2Marcus Hogberg100.0061676684576356565450666969089610311500,000$
Rayé
MOYENNE D’ÉQUIPE100.006370687865666162595068737307764
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)C5419416040180541471755415410.86%11115421.37371015950003824262.31%143000111.0400000382
2Philip TomasinoMarlies (TOR)RW542634602122054771976614413.20%9101218.751459670110541251.46%10300011.1901000755
3Viktor ArvidssonToronto Maple LeafsLW493524593710022551765012619.89%797819.98651121950005756146.84%7900001.2101000852
4Logan StankovenMarlies (TOR)C/RW54203656-320161391725813511.63%8111020.5731013291140001653154.89%141200001.0101000612
5Mattias JanmarkMarlies (TOR)C5417304723805194119366514.29%1592217.09000000112523054.04%108800001.0200000163
6Calvin de HaanMarlies (TOR)D54538431934099526420567.81%63111120.5827920112000169100%000000.7700000042
7Jan RuttaMarlies (TOR)D5410304029200913371194814.08%49109120.20371033108000062100%000010.7300000215
8Mitchell ChaffeeMarlies (TOR)RW54132538232209253149471098.72%393217.272021591000130047.83%6900000.8200000431
9Jack JohnsonMarlies (TOR)D5453035136041486626307.58%55105119.472462972101280210%000000.6700000013
10Maxim TsyplakovMarlies (TOR)RW548273523001196514743935.44%7100018.522792195011013059.42%6900000.7011000122
11Vasily PodkolzinMarlies (TOR)LW/RW54171835-2200121451374310312.41%9106519.732244351011663152.70%7400000.6600000304
12Erik JohnsonMarlies (TOR)D54122133253001304972266116.67%64110820.5365113097000054100%000000.6000000214
13Travis HamonicMarlies (TOR)D5482432153410933951162615.69%4499718.47112937101174010%000000.6400200232
14Justin HollMarlies (TOR)D54526311530050333792613.51%5192717.1810158011183000%000000.6700000001
15Mark JankowskiMarlies (TOR)C/LW21175221220182782305020.73%643520.731236270000223055.88%3400001.0100000231
16Linus KarlssonMarlies (TOR)C/LW/RW44106161360362673174113.70%247410.79000250000124153.16%7900000.6700000033
17Marc Del GaizoMarlies (TOR)D540555402086050%162103.8900000000018000%000000.4800000001
Statistiques d’équipe totales ou en moyenne8702274206472872981011079901794560127212.65%4191558417.91356196248106634718879351056.75%443700130.8314200414643
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)54351420.8893.22307441165148401000540201
2Marcus HogbergMarlies (TOR)51110.9172.39176007840000.5004054000
Statistiques d’équipe totales ou en moyenne59361530.8903.18325041172156801045454201


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$18,333$No---------------------------Lien / Lien NHL
Erik JohnsonMarlies (TOR)D371988-03-21USANo225 Lbs6 ft4NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Jack JohnsonMarlies (TOR)D391987-01-13USANo225 Lbs6 ft2NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Jan RuttaMarlies (TOR)D351990-07-29CZENo204 Lbs6 ft3NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Justin HollMarlies (TOR)D331992-01-30USANo194 Lbs6 ft4NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Lars EllerMarlies (TOR)C361989-05-08DNKNo208 Lbs6 ft2NoNoFree Agent2025-03-02NoNo12025-08-17FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Linus KarlssonMarlies (TOR)C/LW/RW261999-11-16SWEYes178 Lbs6 ft1NoNoFree AgentNoNo32024-09-12FalseFalsePro & Farm750,000$75,000$27,500$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$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Marc Del GaizoMarlies (TOR)D261999-10-11USAYes188 Lbs5 ft11NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien
Marcus HogbergMarlies (TOR)G311994-11-25SWENo234 Lbs6 ft5NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Mark JankowskiMarlies (TOR)C/LW311994-09-13CANNo212 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Mattias JanmarkMarlies (TOR)C331992-12-08SWENo205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Maxim TsyplakovMarlies (TOR)RW271998-09-19RUSYes210 Lbs6 ft3NoNoFree AgentNoNo22025-08-08FalseFalsePro & Farm750,000$75,000$27,500$No750,000$--------750,000$--------No--------Lien / Lien NHL
Mitchell ChaffeeMarlies (TOR)RW281998-01-26USANo204 Lbs6 ft1NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Philip TomasinoMarlies (TOR)RW242001-07-28CANNo190 Lbs6 ft0NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$18,333$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$18,333$No---------------------------Lien / Lien NHL
Travis HamonicMarlies (TOR)D351990-08-16CANNo195 Lbs6 ft0NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Vasily PodkolzinMarlies (TOR)LW/RW242001-06-24RUSNo190 Lbs6 ft1NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1830.83200 Lbs6 ft21.67527,778$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mark JankowskiLogan StankovenMaxim Tsyplakov35122
2Vasily PodkolzinLars EllerMitchell Chaffee35122
3Linus KarlssonMattias JanmarkPhilip Tomasino25122
4Linus KarlssonMattias JanmarkPhilip 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
1Vasily PodkolzinLogan StankovenMitchell Chaffee60122
2Philip TomasinoLars 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 JanmarkMark Jankowski60122
2Lars EllerMitchell Chaffee40122
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 EllerMaxim Tsyplakov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonJan Rutta60122
2Travis HamonicCalvin de Haan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vasily PodkolzinLogan 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 PodkolzinMaxim Tsyplakov
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, Mitchell Chaffee
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
1Aces1010000003-3000000000001010000003-300.0000000089865662159465257217288824200.00%4175.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
2Admirals21100000880110000005411010000034-120.500814220089865664759465257217511726237114.29%12558.33%11032183256.33%950166956.92%54593658.23%147210641100359683363
3Americiens4220000017143211000008532110000099040.5001730470089865661355946525721714736169512325.00%6350.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
4Barons22000000954110000004311100000052341.0009142300898656676594652572175114838300.00%4250.00%11032183256.33%950166956.92%54593658.23%147210641100359683363
5Barracuda11000000431000000000001100000043121.0004812008986566395946525721728810212150.00%5180.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
6Broncos421010001495311010008711100000062460.750142640008986566106594652572179422166310440.00%50100.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
7Bruins411020001614231101000131211000100032160.7501628440089865661215946525721710531207112216.67%8362.50%01032183256.33%950166956.92%54593658.23%147210641100359683363
8Butter Knives733001003427721100000963522001002521470.50034629600898656626559465257217277674818025728.00%22481.82%01032183256.33%950166956.92%54593658.23%147210641100359683363
9Canucks11000000321000000000001100000032121.00035800898656632594652572172251014100.00%50100.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
10Fighting Pandas43000001201281000000178-133000000134970.8752036560189865661115946525721710825248212325.00%10370.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
11Firebirds5400010025141132000100147722000000117490.9002547720089865661705946525721710334107412541.67%4175.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
12Lions11000000413000000000001100000041321.000461000898656644594652572173570232150.00%000%01032183256.33%950166956.92%54593658.23%147210641100359683363
13Lynx42200000171072110000076121100000104640.50017294600898656614259465257217682019797114.29%70100.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
14Nordiks2110000079-21010000037-41100000042220.50071421008986566865946525721775202343100.00%9455.56%01032183256.33%950166956.92%54593658.23%147210641100359683363
15Quacken22000000963110000003121100000065141.0009172600898656649594652572175218143711100.00%7357.14%11032183256.33%950166956.92%54593658.23%147210641100359683363
16Roadrunners11000000716110000007160000000000021.00071219008986566265946525721724981811100.00%4175.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
17Tomahawks2110000011101110000006331010000057-220.5001120310089865669759465257217692310557228.57%4175.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
18Wombats42101000191362100100096321100000107360.750193453008986566133594652572171203420957228.57%90100.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
19Wranglers31101000121202100100011921010000013-240.667122436008986566131594652572171112318837114.29%80100.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
Total54311505201236173632614604101114852928179011001228834750.694236426662018986566183159465257217156842130811181313526.72%1333275.94%31032183256.33%950166956.92%54593658.23%147210641100359683363
_Since Last GM Reset54311505201236173632614604101114852928179011001228834750.694236426662018986566183159465257217156842130811181313526.72%1333275.94%31032183256.33%950166956.92%54593658.23%147210641100359683363
_Vs Conference392111042011771225520105031018762251911601100906030530.67917731849501898656612565946525721710972952077801052927.62%872077.01%11032183256.33%950166956.92%54593658.23%147210641100359683363
_Vs Division2311802101104772710440100144377137401100604020280.60910418528901898656677459465257217705179127507681623.53%531375.47%01032183256.33%950166956.92%54593658.23%147210641100359683363

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5475L123642666218311568421308111801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5431155201236173
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
26146410111485
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
28179110012288
Derniers 10 matchs
WLOTWOTL SOWSOL
721000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1313526.72%1333275.94%3
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
594652572178986566
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
1032183256.33%950166956.92%54593658.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
147210641100359683363


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
79393Roadrunners1Marlies7WSommaire du match
81405Marlies4Lions1WSommaire du match
82415Firebirds1Marlies7WSommaire du match
85427Marlies8Lynx1WSommaire du match
87437Firebirds2Marlies4WSommaire du match
89449Marlies0Aces3LSommaire du match
91455Marlies4Nordiks2WSommaire du match
93462Bruins4Marlies5WXSommaire du match
96477Wranglers3Marlies4WXSommaire du match
98486Marlies5Wombats6LSommaire du match
100497Marlies6Quacken5WSommaire du match
101505Quacken1Marlies3WSommaire du match
103515Marlies3Canucks2WSommaire du match
105526Lynx2Marlies4WSommaire du match
107541Marlies4Firebirds2WSommaire du match
108548Barons3Marlies4WSommaire du match
112566Bruins4Marlies6WSommaire du match
113573Marlies3Americiens5LSommaire du match
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-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
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
15 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
969,708$ 950,000$ 950,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
950,000$ 653,049$ 18 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 66 8,056$ 531,696$




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