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Marlies
GP: 33 | W: 13 | L: 16 | OTL: 4 | P: 30
GF: 76 | GA: 100 | PP%: 28.75% | PK%: 63.89%
DG: Phil VendorMolen | Morale : 43 | Moyenne d’équipe : 58
Prochains matchs #533 vs Admirals

Centre de jeu
Marlies
13-16-4, 30pts
6
5 Phantoms
15-16-2, 32pts
Team Stats
W6SéquenceOTL1
7-9-1Fiche domicile6-10-1
6-7-3Fiche domicile9-6-1
6-3-1Derniers 10 matchs5-3-2
2.30Buts par match 2.85
3.03Buts contre par match 3.24
28.75%Pourcentage en avantage numérique23.08%
63.89%Pourcentage en désavantage numérique65.96%
Crunch
8-20-5, 21pts
1
3 Marlies
13-16-4, 30pts
Team Stats
L3SéquenceW6
5-8-4Fiche domicile7-9-1
3-12-1Fiche domicile6-7-3
4-6-0Derniers 10 matchs6-3-1
2.27Buts par match 2.30
3.21Buts contre par match 3.03
25.00%Pourcentage en avantage numérique28.75%
73.47%Pourcentage en désavantage numérique63.89%
Marlies
13-16-4, 30pts
Jour 43
Admirals
14-15-4, 32pts
Statistiques d’équipe
W6SéquenceW2
7-9-1Fiche domicile7-9-1
6-7-3Fiche visiteur7-6-3
6-3-110 derniers matchs3-5-2
2.30Buts par match 2.48
3.03Buts contre par match 2.48
28.75%Pourcentage en avantage numérique33.33%
63.89%Pourcentage en désavantage numérique63.44%
Phantoms
15-16-2, 32pts
Jour 44
Marlies
13-16-4, 30pts
Statistiques d’équipe
OTL1SéquenceW6
6-10-1Fiche domicile7-9-1
9-6-1Fiche visiteur6-7-3
5-3-210 derniers matchs6-3-1
2.85Buts par match 2.30
3.24Buts contre par match 2.30
23.08%Pourcentage en avantage numérique28.75%
65.96%Pourcentage en désavantage numérique63.89%
IceHogs
11-14-10, 32pts
Jour 45
Marlies
13-16-4, 30pts
Statistiques d’équipe
L1SéquenceW6
6-5-6Fiche domicile7-9-1
5-9-4Fiche visiteur6-7-3
3-5-210 derniers matchs6-3-1
1.97Buts par match 2.30
2.80Buts contre par match 2.30
31.82%Pourcentage en avantage numérique28.75%
66.67%Pourcentage en désavantage numérique63.89%
Meneurs d'équipe
Buts
Ivan Ivan
10
Passes
Oliver Wahlstrom
17
Points
Oliver Wahlstrom
25
Plus/Moins
Ivan Ivan
7
Victoires
Keith Petruzzelli
13
Pourcentage d’arrêts
Tristan Lennox
0.917

Statistiques d’équipe
Buts pour
76
2.30 GFG
Tirs pour
506
15.33 Avg
Pourcentage en avantage numérique
28.8%
23 GF
Début de zone offensive
30.7%
Buts contre
100
3.03 GAA
Tirs contre
773
23.42 Avg
Pourcentage en désavantage numérique
63.9%%
26 GA
Début de la zone défensive
42.4%
Informations de l'équipe

Directeur généralPhil VendorMolen
EntraîneurBenoit Grouix
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,123
Billets de saison1,500


Informations de la formation

Équipe Pro32
Équipe Mineure23
Limite contact 55 / 100
Espoirs153


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
1Justin Robidas (R)X100.0071619576628287658064646260454565546402231,421,000$
2Nikolai Kovalenko (R)X100.0080449176656274673070636525515265566402631,495,000$
3Ivan Ivan (R)X100.0061419485715691695159656725484865586402321,955,000$
4Oliver WahlstromX100.0072877574785679665659606459656660526302531,452,000$
5Ville Koivunen (R)X100.0066607769618287665064655961454563546202231,387,000$
6Olle LycksellX100.006541977559617865447054592549496340610261875,000$
7Andre Lee (R)X100.0085798371815382592560586225464661436002531,378,000$
8Judd CaulfieldX100.0082828366837682545049556453454559506002431,381,000$
9Ben McCartneyX100.0069716467727478605054615959454560515902431,253,000$
10Riley Duran (R)X100.0072659477667378526643576055454559505802431,345,000$
11Rafael Harvey-PinardXXX100.0071649073645960567357506248565657505802722,227,000$
12Ben KingX100.007677776577545455705056635445455848570232790,000$
13James Malatesta (R)X100.006667687768606254504657585546465838560222841,667$
14Ryker EvansX100.008244887572789064256149772559586354690241925,000$
15Jacob MacDonaldX100.0076747970747679662551676562454565636303211,000,000$
16Ryan JohnsonX100.007572836873778548253841613849495152600241925,000$
17Cade Webber (R)X100.0083838263846875462537386337454550555902531,345,000$
18Noel HoefenmayerX100.007774846574484753254842614045455237560271750,000$
19Cole KrygierX100.0066744661743836472537415639444448335102531,377,000$
Rayé
1Aidan McDonoughX100.0075757464754843675059726568444466206002600$
2Jack Malone (R)XXX100.0079729564725252526543566453444458205502531,342,000$
3Jonathan GrudenXX100.0070706965705961546847566053444457205502521,092,000$
4Blade JenkinsX100.007773876373494950504946624444445420530252971,000$
5Isaac RatcliffeX100.0069784961784241495047465844444450205102721,088,000$
6Carson Bantle (R)X100.0079827160824039455038466244444450205002400$
7Bear Hughes (R)XXX100.0071668180663331445538445842444450205002431,442,000$
8Matias Rajaniemi (R)X40.4585809981813332412527396337454549365502331,344,000$
9Dawson BarteauxX100.0076728763724646482540396137454551345402631,106,000$
MOYENNE D’ÉQUIPE97.87746981707258645646505362454747574158
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
1Tristan Lennox (R)100.004442537845904649918145444461556102331,026,000$
2Keith Petruzzelli100.004440508345904751908145454559736102731,061,000$
Rayé
1Garin Bjorklund (R)100.004440506745894549908145444460335902331,019,000$
2Kevin Mandolese100.00514455875353525655543044445237550252942,000$
MOYENNE D’ÉQUIPE100.0046425279478148518274414444585059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Grouix60477337564753CAN561750,000$


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
1Oliver WahlstromMarlies (TOR)RW338172528430596246202817.39%2171521.691455530002432049.61%514114000.7023123113
2Nikolai KovalenkoMarlies (TOR)RW3391625-675426561204114.75%1571321.622575570001531032.92%4071410000.7000001120
3Elmer SoderblomMaple LeafsLW2216824-275345569234023.19%1249522.5442610440000240040.48%421214110.9700001313
4Ville KoivunenMarlies (TOR)RW3391423-7335654551102917.65%1665819.963691158000003042.31%26123000.7000010141
5Ivan IvanMarlies (TOR)C331091972024224381823.26%734210.38347929000021161.54%1356011.1101000303
6Justin RobidasMarlies (TOR)C3241418-109539685614417.14%1470121.921452540000361155.24%1431215000.5100100011
7Jacob MacDonaldMarlies (TOR)D336915-83525487248311812.50%4690427.40617874000253010%01720000.3300203031
8Andre LeeMarlies (TOR)LW337714-20282057573081923.33%1468020.641346610000132027.48%131815000.4114031010
9Ryan JohnsonMarlies (TOR)D33257-1141155477358185.71%5289727.18112149000037000%0423000.1600111001
10Cade WebberMarlies (TOR)D33077-53010346215830%2876023.05044375000035000%0321000.1800101000
11Riley DuranMarlies (TOR)C33134-600223284412.50%536811.1810116000090045.24%8454000.2200000000
12Noel HoefenmayerMarlies (TOR)D33044-1741152750151060%3172421.94011042000147000%0312000.1100012000
13Judd CaulfieldMarlies (TOR)RW33224-12100334387325.00%252315.8500000000001030.00%40310000.1504000000
14Ben McCartneyMarlies (TOR)LW33022-212029177130%42788.4401115000011000%416000.1400000001
15Olle LycksellMarlies (TOR)RW23011-20011198310%323110.05011240000000100.00%143000.0900000000
16Rafael Harvey-PinardMarlies (TOR)C/LW/RW33011-3205113030%11705.1801102000000057.89%1901000.1200000000
17James MalatestaMarlies (TOR)LW23000-120220000%0431.910000000001000%00000000000000
18Scott ReedyMaple LeafsC1000000000000%011.070000000000000%00000000000000
19Ryker EvansMarlies (TOR)D100001009160110%014614.700000000001000%00400000000000
20Ben KingMarlies (TOR)C30000-100001200%0170.5700000000000020.00%50100000000000
21Dawson BarteauxMarlies (TOR)D220000403201100%724611.2000004000013000%00100000000000
22Cole KrygierMarlies (TOR)D11000000410000%0948.600000000000000%00100000000000
23Matias RajaniemiMarlies (TOR)D230000004141010%01576.870000400004000%00000000000000
Statistiques d’équipe totales ou en moyenne62674119193-10334713560581050617927714.62%278987515.7823386164629000639211342.20%1429104184120.39312681391314
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
1Keith PetruzzelliMarlies (TOR)33131540.8692.9718570392701319200.72711330411
2Tristan LennoxMarlies (TOR)60100.9172.4814500672310000031000
Statistiques d’équipe totales ou en moyenne39131640.8732.942003039877335020113331411


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 Salaire restantPlafond 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
Aidan McDonoughMarlies (TOR)LW261999-11-06USANo201 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Andre LeeMarlies (TOR)LW252000-07-26SWEYes206 Lbs6 ft5NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,378,000$861,250$0$0$No1,378,000$1,378,000$-------1,378,000$1,378,000$-------NoNo-------Lien
Bear HughesMarlies (TOR)C/LW/RW242001-05-30USAYes172 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,442,000$901,250$0$0$No1,442,000$1,442,000$-------1,442,000$1,442,000$-------NoNo-------Lien
Ben KingMarlies (TOR)C232002-05-15BCNo205 Lbs6 ft3NoNoProspectNoNo22024-09-17FalseFalsePro & Farm790,000$493,750$0$0$No790,000$--------790,000$--------No--------Lien
Ben McCartneyMarlies (TOR)LW242001-07-13CANNo199 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,253,000$783,125$0$0$No1,253,000$1,253,000$-------1,253,000$1,253,000$-------NoNo-------Lien
Blade JenkinsMarlies (TOR)LW252000-08-11USANo195 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm971,000$606,875$0$0$No971,000$--------971,000$--------No--------Lien
Cade WebberMarlies (TOR)D252001-01-05USAYes212 Lbs6 ft7NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,345,000$840,625$0$0$No1,345,000$1,345,000$-------1,345,000$1,345,000$-------NoNo-------Lien
Carson BantleMarlies (TOR)LW242002-01-22USAYes215 Lbs6 ft5NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Lien
Cole KrygierMarlies (TOR)D252000-05-05USANo195 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,377,000$860,625$0$0$No1,377,000$1,377,000$-------1,377,000$1,377,000$-------NoNo-------Lien
Dawson BarteauxMarlies (TOR)D262000-01-12MANNo192 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,106,000$691,250$0$0$No1,106,000$1,106,000$-------1,106,000$1,106,000$-------NoNo-------Lien
Garin BjorklundMarlies (TOR)G232002-05-28CANYes174 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,019,000$636,875$0$0$No1,019,000$1,019,000$-------1,019,000$1,019,000$-------NoNo-------Lien
Isaac RatcliffeMarlies (TOR)LW271999-02-15CANNo203 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm1,088,000$680,000$0$0$No1,088,000$--------1,088,000$--------No--------Lien
Ivan IvanMarlies (TOR)C232002-08-20CZEYes190 Lbs6 ft0NoNoTrade2025-01-16NoNo22024-09-18FalseFalsePro & Farm1,955,000$1,221,875$0$0$No1,955,000$--------1,955,000$--------No--------Lien
Jack MaloneMarlies (TOR)C/LW/RW252000-10-13USAYes195 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,342,000$838,750$0$0$No1,342,000$1,342,000$-------1,342,000$1,342,000$-------NoNo-------Lien
Jacob MacDonaldMarlies (TOR)D321993-02-26USANo208 Lbs6 ft0NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm1,000,000$625,000$0$0$No---------------------------Lien / Lien NHL
James MalatestaMarlies (TOR)LW222003-05-31CANYes193 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm841,667$526,042$0$0$No841,667$--------841,667$--------No--------Lien
Jonathan GrudenMarlies (TOR)C/LW252000-05-04USANo192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,092,000$682,500$0$0$No1,092,000$--------1,092,000$--------No--------Lien
Judd CaulfieldMarlies (TOR)RW242001-03-19USANo220 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,381,000$863,125$0$0$No1,381,000$1,381,000$-------1,381,000$1,381,000$-------NoNo-------Lien
Justin RobidasMarlies (TOR)C222003-03-13USAYes176 Lbs5 ft8NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,421,000$888,125$0$0$No1,421,000$1,421,000$-------1,421,000$1,421,000$-------NoNo-------Lien
Keith PetruzzelliMarlies (TOR)G271999-02-09USANo190 Lbs6 ft6NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,061,000$663,125$0$0$No1,061,000$1,061,000$-------1,061,000$1,061,000$-------NoNo-------Lien
Kevin MandoleseMarlies (TOR)G252000-08-22CANNo207 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm942,000$588,750$0$0$No942,000$--------942,000$--------No--------Lien
Matias Rajaniemi (sur la masse salariale)Marlies (TOR)D232002-09-11FINYes212 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,344,000$840,000$0$0$Yes1,344,000$1,344,000$-------1,344,000$1,344,000$-------NoNo-------Lien
Nikolai KovalenkoMarlies (TOR)RW261999-10-17USAYes180 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,495,000$934,375$0$0$No1,495,000$1,495,000$-------1,495,000$1,495,000$-------NoNo-------Lien
Noel HoefenmayerMarlies (TOR)D271999-01-06ONTNo204 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$468,750$0$0$No---------------------------Lien
Oliver WahlstromMarlies (TOR)RW252000-06-13USANo205 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,452,000$907,500$0$0$No1,452,000$1,452,000$-------1,452,000$1,452,000$-------NoNo-------Lien
Olle LycksellMarlies (TOR)RW261999-08-24SWENo163 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm875,000$546,875$0$0$No---------------------------Lien
Rafael Harvey-PinardMarlies (TOR)C/LW/RW271999-01-06CANNo181 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm2,227,000$1,391,875$0$0$No2,227,000$--------2,227,000$--------No--------Lien
Riley DuranMarlies (TOR)C242002-01-25USAYes174 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,345,000$840,625$0$0$No1,345,000$1,345,000$-------1,345,000$1,345,000$-------NoNo-------Lien
Ryan JohnsonMarlies (TOR)D242001-07-24USANo195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$578,125$0$0$No---------------------------Lien
Ryker EvansMarlies (TOR)D242001-12-13CANNo195 Lbs6 ft0NoNoTrade2025-01-20NoNo1FalseFalsePro & Farm925,000$578,125$0$0$No---------------------------Lien
Tristan LennoxMarlies (TOR)G232002-10-21CANYes193 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,026,000$641,250$0$0$No1,026,000$1,026,000$-------1,026,000$1,026,000$-------NoNo-------Lien
Ville KoivunenMarlies (TOR)RW222003-06-13FINYes161 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,387,000$866,875$0$0$No1,387,000$1,387,000$-------1,387,000$1,387,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3224.78194 Lbs6 ft22.251,142,365$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ivan IvanOliver WahlstromJustin Robidas30122
2Ville KoivunenNikolai KovalenkoAndre Lee30122
3Nikolai KovalenkoOliver WahlstromIvan Ivan20122
4Judd CaulfieldOliver WahlstromAndre Lee20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldCade Webber35122
2Noel HoefenmayerRyan Johnson35122
3Ryan JohnsonJacob MacDonald30122
4Ryan JohnsonJacob MacDonald0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ivan IvanAndre LeeJustin Robidas60122
2Ville KoivunenNikolai KovalenkoOliver Wahlstrom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldCade Webber60122
2Noel HoefenmayerRyan Johnson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nikolai KovalenkoOliver Wahlstrom60122
2Andre LeeIvan Ivan40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldNoel Hoefenmayer60122
2Cade WebberRyan Johnson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andre Lee60122Jacob MacDonaldCade Webber60122
2Nikolai Kovalenko40122Noel HoefenmayerRyan Johnson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nikolai KovalenkoIvan Ivan60122
2Andre LeeOliver Wahlstrom40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldCade Webber60122
2Noel HoefenmayerRyan Johnson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ivan IvanNikolai KovalenkoJustin RobidasJacob MacDonaldRyan Johnson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ivan IvanNikolai KovalenkoJustin RobidasJacob MacDonaldRyan Johnson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andre Lee, Nikolai Kovalenko, Judd CaulfieldNikolai Kovalenko, Oliver WahlstromNikolai Kovalenko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Johnson, Jacob MacDonald, Cade WebberRyan JohnsonRyan Johnson, Jacob MacDonald
Tirs de pénalité
Andre Lee, Judd Caulfield, Oliver Wahlstrom, Nikolai Kovalenko, Ivan Ivan
Gardien
#1 : Keith Petruzzelli, #2 : Tristan Lennox


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
1Bears2010000117-61000000112-11010000005-510.25012300122932424101180215214512293411100.00%7271.43%018943143.85%23859639.93%17637946.44%548186639362816419
2Bruins21001000202100010001011100000010141.0002350212293241810118021521228434000%20100.00%018943143.85%23859639.93%17637946.44%548186639362816419
3Canucks11000000312000000000001100000031221.00034700122932420101180215211662183133.33%10100.00%018943143.85%23859639.93%17637946.44%548186639362816419
4Checkers11000000312110000003120000000000021.00035800122932414101180215217714165120.00%2150.00%018943143.85%23859639.93%17637946.44%548186639362816419
5Comets1010000024-21010000024-20000000000000.0002350012293241010118021521115020100.00%000%018943143.85%23859639.93%17637946.44%548186639362816419
6Crunch11000000312110000003120000000000021.00036900122932416101180215212355207228.57%000%018943143.85%23859639.93%17637946.44%548186639362816419
7Eagles2020000014-31010000013-21010000001-100.0001230012293243310118021521201013323133.33%4175.00%018943143.85%23859639.93%17637946.44%548186639362816419
8Griffins30200001512-72020000039-61000000123-110.16758130012293243710118021521512153608225.00%9455.56%018943143.85%23859639.93%17637946.44%548186639362816419
9Heat10000010211100000102110000000000021.00022400122932417101180215212510715100.00%10100.00%018943143.85%23859639.93%17637946.44%548186639362816419
10Islanders30300000613-71010000025-32020000048-400.0006101600122932476101180215211053234397228.57%7271.43%018943143.85%23859639.93%17637946.44%548186639362816419
11Moose1010000024-2000000000001010000024-200.0002350012293248101180215212284192150.00%220.00%018943143.85%23859639.93%17637946.44%548186639362816419
12Penguins1000010001-1000000000001000010001-110.50000000122932471011802152185212000%10100.00%018943143.85%23859639.93%17637946.44%548186639362816419
13Phantoms421000101718-111000000633311000101115-460.750172643001229324591011802152110530909111545.45%15566.67%018943143.85%23859639.93%17637946.44%548186639362816419
14Reign11000000312000000000001100000031221.000347001229324161011802152139210185120.00%000%018943143.85%23859639.93%17637946.44%548186639362816419
15Roadrunners312000001317-420200000815-71100000052320.333132033001229324621011802152110949606512325.00%10550.00%018943143.85%23859639.93%17637946.44%548186639362816419
16Silver Knights11000000202110000002020000000000021.0002350112293241110118021521164017300.00%000%018943143.85%23859639.93%17637946.44%548186639362816419
17Thunderbirds21100000981211000009810000000000020.500915240012293244310118021521872815449333.33%5260.00%018943143.85%23859639.93%17637946.44%548186639362816419
18Wild1010000023-1000000000001010000023-100.00023500122932421101180215213813611100.00%3166.67%018943143.85%23859639.93%17637946.44%548186639362816419
19Wolf Pack1010000003-31010000003-30000000000000.000000001229324810118021521151414100.00%2150.00%018943143.85%23859639.93%17637946.44%548186639362816419
20Wolves1000010001-1000000000001000010001-110.50000000122932461011802152193526000%10100.00%018943143.85%23859639.93%17637946.44%548186639362816419
Total3310160122276100-241759010114355-121657002113345-12300.4557611919503122932450610118021521773278347605802328.75%722663.89%018943143.85%23859639.93%17637946.44%548186639362816419
_Since Last GM Reset3310160122276100-241759010114355-121657002113345-12300.4557611919503122932450610118021521773278347605802328.75%722663.89%018943143.85%23859639.93%17637946.44%548186639362816419
_Vs Conference24613001226287-251237000113547-121236001112740-13190.396629715900122932439610118021521623233321445642031.25%632461.90%018943143.85%23859639.93%17637946.44%548186639362816419
_Vs Division7510000121314-1526000011011-123400011330141.0001322350212293248510118021521103417613020525.00%13561.54%018943143.85%23859639.93%17637946.44%548186639362816419

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3330W67611919550677327834760503
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
331016122276100
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
175910114355
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
165702113345
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
802328.75%722663.89%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
101180215211229324
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
18943143.85%23859639.93%17637946.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
548186639362816419


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
214Marlies4Phantoms3WSommaire du match
326Griffins6Marlies3LSommaire du match
439Marlies3Reign1WSommaire du match
556Thunderbirds2Marlies4WSommaire du match
777Bears2Marlies1LXXSommaire du match
996Eagles3Marlies1LSommaire du match
10110Marlies0Eagles1LSommaire du match
11124Marlies3Islanders4LSommaire du match
12133Marlies1Phantoms7LSommaire du match
13149Griffins3Marlies0LSommaire du match
15168Roadrunners7Marlies2LSommaire du match
16182Marlies1Islanders4LSommaire du match
17195Phantoms3Marlies6WSommaire du match
18210Marlies2Griffins3LXXSommaire du match
19228Islanders5Marlies2LSommaire du match
20247Marlies0Bears5LSommaire du match
21254Marlies5Roadrunners2WSommaire du match
23268Heat1Marlies2WXXSommaire du match
24287Marlies0Penguins1LXSommaire du match
25299Thunderbirds6Marlies5LSommaire du match
27318Comets4Marlies2LSommaire du match
29339Marlies2Wild3LSommaire du match
30350Marlies1Bruins0WSommaire du match
31365Wolf Pack3Marlies0LSommaire du match
32385Roadrunners8Marlies6LSommaire du match
33404Marlies0Wolves1LXSommaire du match
34414Marlies2Moose4LSommaire du match
35426Silver Knights0Marlies2WSommaire du match
36444Checkers1Marlies3WSommaire du match
38461Marlies3Canucks1WSommaire du match
39477Bruins0Marlies1WXSommaire du match
40495Marlies6Phantoms5WXXSommaire du match
41508Crunch1Marlies3WSommaire du match
43533Marlies-Admirals-
44542Phantoms-Marlies-
45562IceHogs-Marlies-
46577Marlies-IceHogs-
47588Marlies-Barracuda-
48603Eagles-Marlies-
49621Marlies-Roadrunners-
50633Marlies-Senators-
51646Wolves-Marlies-
52666Islanders-Marlies-
53679Marlies-Comets-
54694Thunderbirds-Marlies-
56713Marlies-Rocket-
57727Roadrunners-Marlies-
58742Marlies-Stars-
59759Canucks-Marlies-
60772Marlies-Islanders-
62785Gulls-Marlies-
64806Marlies-Gulls-
65818Rocket-Marlies-
66840Bears-Marlies-
68852Marlies-Checkers-
69871Monsters-Marlies-
71893Marlies-Heat-
72906Reign-Marlies-
74930Bears-Marlies-
75942Marlies-Monsters-
76955Marlies-Wolf Pack-
78968Americans-Marlies-
80991Marlies-Condors-
81999Barracuda-Marlies-
821012Marlies-Silver Knights-
831027Marlies-Griffins-
841038Reign-Marlies-
861059Moose-Marlies-
871078Marlies-Bears-
881088Wild-Marlies-
891102Marlies-Gulls-
911120Marlies-Thunderbirds-
921134Senators-Marlies-
931149Penguins-Marlies-
951168Marlies-Americans-
961179Marlies-Crunch-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971191Condors-Marlies-
981205Marlies-Thunderbirds-
991216Marlies-Reign-
1001226Admirals-Marlies-
1021244Marlies-Crunch-
1031261Stars-Marlies-
1041272Marlies-Reign-
1051283Marlies-Eagles-
1071302Griffins-Marlies-
1101330Griffins-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance23,38012,717
Assistance PCT68.76%74.81%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 2123 - 70.78% 88,441$1,503,492$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,573,688$ 3,521,167$ 3,521,167$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
31,439$ 1,292,456$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,299,458$ 70 38,135$ 2,669,450$




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