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Marlies
GP: 66 | W: 28 | L: 26 | OTL: 12 | P: 68
GF: 137 | GA: 169 | PP%: 23.24% | PK%: 69.70%
DG: Phil VendorMolen | Morale : 40 | Moyenne d’équipe : 58
Prochains matchs #1038 vs Reign

Centre de jeu
Marlies
28-26-12, 68pts
5
2 Silver Knights
27-27-12, 66pts
Team Stats
W2SéquenceL3
13-14-6Fiche domicile19-11-4
15-12-6Fiche domicile8-16-8
4-3-3Derniers 10 matchs3-7-0
2.08Buts par match 2.42
2.56Buts contre par match 3.08
23.24%Pourcentage en avantage numérique31.11%
69.70%Pourcentage en désavantage numérique69.95%
Marlies
28-26-12, 68pts
2
1 Griffins
35-18-13, 83pts
Team Stats
W2SéquenceOTL1
13-14-6Fiche domicile20-9-5
15-12-6Fiche domicile15-9-8
4-3-3Derniers 10 matchs7-1-2
2.08Buts par match 2.89
2.56Buts contre par match 2.85
23.24%Pourcentage en avantage numérique29.33%
69.70%Pourcentage en désavantage numérique75.63%
Reign
35-28-4, 74pts
Jour 84
Marlies
28-26-12, 68pts
Statistiques d’équipe
W1SéquenceW2
17-17-0Fiche domicile13-14-6
18-11-4Fiche visiteur15-12-6
6-4-010 derniers matchs4-3-3
3.63Buts par match 2.08
3.58Buts contre par match 2.08
29.73%Pourcentage en avantage numérique23.24%
71.62%Pourcentage en désavantage numérique69.70%
Moose
27-28-11, 65pts
Jour 86
Marlies
28-26-12, 68pts
Statistiques d’équipe
L3SéquenceW2
13-15-6Fiche domicile13-14-6
14-13-5Fiche visiteur15-12-6
1-8-110 derniers matchs4-3-3
1.79Buts par match 2.08
2.12Buts contre par match 2.08
23.08%Pourcentage en avantage numérique23.24%
75.74%Pourcentage en désavantage numérique69.70%
Marlies
28-26-12, 68pts
Jour 87
Bears
51-13-4, 106pts
Statistiques d’équipe
W2SéquenceW8
13-14-6Fiche domicile25-7-1
15-12-6Fiche visiteur26-6-3
4-3-310 derniers matchs9-1-0
2.08Buts par match 3.40
2.56Buts contre par match 3.40
23.24%Pourcentage en avantage numérique31.28%
69.70%Pourcentage en désavantage numérique73.24%
Meneurs d'équipe
Buts
Ivan Ivan
22
Passes
Nikolai Kovalenko
27
Points
Nikolai Kovalenko
45
Plus/Moins
Ivan Ivan
4
Victoires
Keith Petruzzelli
26
Pourcentage d’arrêts
Tristan Lennox
0.884

Statistiques d’équipe
Buts pour
137
2.08 GFG
Tirs pour
951
14.41 Avg
Pourcentage en avantage numérique
23.2%
33 GF
Début de zone offensive
33.1%
Buts contre
169
2.56 GAA
Tirs contre
1347
20.41 Avg
Pourcentage en désavantage numérique
69.7%%
40 GA
Début de la zone défensive
41.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,137
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
1Ivan Ivan (R)X100.0062419486725691695160666625494964686502321,955,000$
2Justin Robidas (R)X96.0071619577638287658064646160464664626402331,421,000$
3Nikolai Kovalenko (R)X98.0080449176656274673070646425535364626402631,495,000$
4Ville Koivunen (R)X100.0066607770628287655064655861474662626302231,387,000$
5Oliver WahlstromX100.0072877574785679665658616359666759656302531,452,000$
6Olle LycksellX100.006441977559617864446954572550506244600261875,000$
7Andre Lee (R)X100.0085798372825382592560576125484760446002531,378,000$
8Ben McCartneyX100.0069716468737478595053605959474659615902431,253,000$
9Judd CaulfieldX100.0082828367847682535048556353474658575902531,381,000$
10Riley Duran (R)X100.0072659478677378516642565955474658595802431,345,000$
11Rafael Harvey-PinardXXX100.0070649073645960557356496148585756565802722,227,000$
12Ben KingX100.007677786678545455704956635445455853570232790,000$
13James Malatesta (R)X100.006567687869606253504556575547475743560222841,667$
14Ryker EvansX100.008144887673789064256048762560596259690241925,000$
15Jacob MacDonaldX100.0076747970747679682553686562474664706303311,000,000$
16Ryan JohnsonX100.007572836974778547253840613851505055600241925,000$
17Cade Webber (R)X100.0083838263846875462536396337474649665902531,345,000$
18Noel HoefenmayerX100.007674856574484753254842604047465134560271750,000$
19Matias Rajaniemi (R)X100.0085809981813332402527386237464548315502331,344,000$
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$
8Dawson BarteauxX100.0076728863724646472540386137454551305402631,106,000$
9Cole KrygierX100.0066744661743836472537415639444448195002531,377,000$
MOYENNE D’ÉQUIPE99.79746981707358645646505362454848574458
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
1Keith Petruzzelli100.004440508345925053958145464658686202731,061,000$
2Tristan Lennox (R)100.004442537845914751928145454460666102331,026,000$
Rayé
1Garin Bjorklund (R)100.004440506745894549908145444460195802331,019,000$
2Kevin Mandolese100.00514455875353525655543044445221550252942,000$
MOYENNE D’ÉQUIPE100.0046425279478149528374414545584459
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
1Nikolai KovalenkoMarlies (TOR)RW66182745-7201097111123407614.63%24143521.753710121011232981132.89%7542616000.6303011433
2Oliver WahlstromMarlies (TOR)RW641923424110409410485274722.35%29124519.471677761013606249.34%762824000.6735125524
3Ivan IvanMarlies (TOR)C662219414608575126296117.46%18103915.75481223801011203238.00%502513110.7914000626
4Jacob MacDonaldMarlies (TOR)D66112738-674409112886433712.79%76177726.93821013131022597120%03441000.4301224163
5Justin RobidasMarlies (TOR)C6592736-1628108612710536798.57%25145222.3426861071016731256.62%3252624000.5013101213
6Ville KoivunenMarlies (TOR)RW66132033-756101139286215415.12%26130319.75681416103000003042.55%47217000.5100011162
7Elmer SoderblomMaple LeafsLW2216824-275345569234023.19%1249522.5442610440000240040.48%421214110.9700001313
8Andre LeeMarlies (TOR)LW6681624-24613511110548164116.67%20134420.3716771090111312027.19%2281521000.36210052011
9Ryan JohnsonMarlies (TOR)D662810-236125911396216303.23%97178427.03112293000080000%01241000.1100221011
10Cade WebberMarlies (TOR)D661910-2562087106261263.85%49151322.941564133000167000%0730000.1300202000
11Riley DuranMarlies (TOR)C66369-1204572156520.00%1077111.681011131011232047.75%17878000.2300000020
12Noel HoefenmayerMarlies (TOR)D66189-16431554822314114.35%43129619.65011165011179000%0720000.1400012000
13Ben McCartneyMarlies (TOR)LW66358020068412712911.11%86099.240111110002363012.50%818000.2600000112
14Judd CaulfieldMarlies (TOR)RW66426-151757084169925.00%6107116.23101217000001139.19%74718000.11210001001
15Olle LycksellMarlies (TOR)RW56123-9004347237114.35%667712.09011210000000042.74%117614000.0900000010
16Ryker EvansMarlies (TOR)D43033-500416519560%2078818.33000120000139000%0714000.0800000000
17Rafael Harvey-PinardMarlies (TOR)C/LW/RW66112-320162260816.67%13254.9401103000030064.10%3912000.1200000000
18Matias RajaniemiMarlies (TOR)D370111006161010%02647.150000400004000%001000.0800000000
19James MalatestaMarlies (TOR)LW56000-140663000%01061.9000000000111000%10000000000000
20Scott ReedyMaple LeafsC1000000000000%011.070000000000000%00000000000000
21Ben KingMarlies (TOR)C63000-100001210%0260.4200000000000033.33%60100000000000
22Dawson BarteauxMarlies (TOR)D4100028010251100%73969.6800004000016000%00100000000000
23Cole KrygierMarlies (TOR)D11000000410000%0948.600000000000000%00100000000000
Statistiques d’équipe totales ou en moyenne1251132212344-1275752151252150395131953213.88%4771982115.843355881081132561125772231042.49%2631222319220.3593681421232729
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)622620100.8772.463367261381123528400.73330611513
2Tristan LennoxMarlies (TOR)162620.8842.366600026224104000.8336557000
Statistiques d’équipe totales ou en moyenne782826120.8782.44402826164134763240366658513


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$356,804$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$373,375$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$204,554$0$0$No790,000$--------790,000$--------No--------Lien
Ben McCartneyMarlies (TOR)LW242001-07-13CANNo199 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,253,000$324,438$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$251,420$0$0$No971,000$--------971,000$--------No--------Lien
Cade WebberMarlies (TOR)D252001-01-05USAYes212 Lbs6 ft7NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,345,000$348,259$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$356,545$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$286,375$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$263,848$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$281,714$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$506,205$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$347,482$0$0$No1,342,000$1,342,000$-------1,342,000$1,342,000$-------NoNo-------Lien
Jacob MacDonaldMarlies (TOR)D331993-02-26USANo208 Lbs6 ft0NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm1,000,000$258,929$0$0$No---------------------------Lien / Lien NHL
James MalatestaMarlies (TOR)LW222003-05-31CANYes193 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm841,667$217,932$0$0$No841,667$--------841,667$--------No--------Lien
Jonathan GrudenMarlies (TOR)C/LW252000-05-04USANo192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,092,000$282,750$0$0$No1,092,000$--------1,092,000$--------No--------Lien
Judd CaulfieldMarlies (TOR)RW252001-03-19USANo220 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,381,000$357,580$0$0$No1,381,000$1,381,000$-------1,381,000$1,381,000$-------NoNo-------Lien
Justin RobidasMarlies (TOR)C232003-03-13USAYes176 Lbs5 ft8NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,421,000$367,938$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$274,723$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$243,911$0$0$No942,000$--------942,000$--------No--------Lien
Matias RajaniemiMarlies (TOR)D232002-09-11FINYes212 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,344,000$348,000$0$0$No1,344,000$1,344,000$-------1,344,000$1,344,000$-------NoNo-------Lien
Nikolai KovalenkoMarlies (TOR)RW261999-10-17USAYes180 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,495,000$387,098$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$194,196$0$0$No---------------------------Lien
Oliver WahlstromMarlies (TOR)RW252000-06-13USANo205 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,452,000$375,964$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$226,563$0$0$No---------------------------Lien
Rafael Harvey-PinardMarlies (TOR)C/LW/RW271999-01-06CANNo181 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm2,227,000$576,634$0$0$No2,227,000$--------2,227,000$--------No--------Lien
Riley DuranMarlies (TOR)C242002-01-25USAYes174 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,345,000$348,259$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$239,509$0$0$No---------------------------Lien
Ryker EvansMarlies (TOR)D242001-12-13CANNo195 Lbs6 ft0NoNoTrade2025-01-20NoNo1FalseFalsePro & Farm925,000$239,509$0$0$No---------------------------Lien
Tristan LennoxMarlies (TOR)G232002-10-21CANYes193 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,026,000$265,661$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$359,134$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
3224.88194 Lbs6 ft22.251,142,365$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ivan IvanOlle LycksellJustin Robidas30122
2Ville KoivunenNikolai KovalenkoAndre Lee30122
3Nikolai KovalenkoJustin RobidasIvan Ivan20122
4Judd CaulfieldNikolai KovalenkoAndre Lee20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldCade Webber35122
2Ryker EvansRyan Johnson35122
3Ryan JohnsonJacob MacDonald30122
4Ryan JohnsonJacob MacDonald0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ivan IvanAndre LeeJustin Robidas60122
2Ville KoivunenNikolai KovalenkoJudd Caulfield40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldCade Webber60122
2Ryker EvansRyan Johnson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nikolai KovalenkoJustin Robidas60122
2Andre LeeIvan Ivan40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldRyker Evans60122
2Cade WebberRyan Johnson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andre Lee60122Jacob MacDonaldCade Webber60122
2Nikolai Kovalenko40122Ryker EvansRyan Johnson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nikolai KovalenkoIvan Ivan60122
2Andre LeeJustin Robidas40122
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, Ivan IvanNikolai Kovalenko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Johnson, Jacob MacDonald, Cade WebberRyan JohnsonRyan Johnson, Jacob MacDonald
Tirs de pénalité
Andre Lee, Judd Caulfield, Justin Robidas, 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
1Admirals10001000431000000000001000100043121.0004610002041651513182308428682292822100.00%40100.00%237684744.39%423105939.94%31965348.85%111537012327371685861
2Americans1010000012-11010000012-10000000000000.000123002041651519182308428682876233133.33%3166.67%037684744.39%423105939.94%31965348.85%111537012327371685861
3Barracuda2110000034-11010000004-41100000030320.50033601204165152918230842868241419363133.33%7185.71%037684744.39%423105939.94%31965348.85%111537012327371685861
4Bears40100102513-83000010258-31010000005-530.3755813002041651544182308428689020337022100.00%9277.78%037684744.39%423105939.94%31965348.85%111537012327371685861
5Bruins21001000202100010001011100000010141.00023502204165151818230842868228434000%20100.00%037684744.39%423105939.94%31965348.85%111537012327371685861
6Canucks21000010523100000102111100000031241.000561100204165153418230842868341011465120.00%30100.00%037684744.39%423105939.94%31965348.85%111537012327371685861
7Checkers21100000330110000003121010000002-220.50035800204165152718230842868211218388112.50%4250.00%037684744.39%423105939.94%31965348.85%111537012327371685861
8Comets2020000028-61010000024-21010000004-400.000235002041651521182308428682171837400.00%4250.00%037684744.39%423105939.94%31965348.85%111537012327371685861
9Condors1000010001-1000000000001000010001-110.50000000204165151818230842868179024300.00%000%037684744.39%423105939.94%31965348.85%111537012327371685861
10Crunch11000000312110000003120000000000021.000369002041651516182308428682355207228.57%000%037684744.39%423105939.94%31965348.85%111537012327371685861
11Eagles3020010037-42010010036-31010000001-110.16735800204165155818230842868341615533133.33%5180.00%037684744.39%423105939.94%31965348.85%111537012327371685861
12Griffins40201001713-62020000039-62000100144030.3757101700204165155218230842868702860838225.00%10460.00%137684744.39%423105939.94%31965348.85%111537012327371685861
13Gulls20101000330100010001011010000023-120.500336012041651517182308428682293234200.00%6266.67%137684744.39%423105939.94%31965348.85%111537012327371685861
14Heat20000020422100000102111000001021141.0004480020416515301823084286841131433300.00%20100.00%037684744.39%423105939.94%31965348.85%111537012327371685861
15IceHogs21000100211110000002021000010001-130.75024601204165151518230842868155933300.00%20100.00%037684744.39%423105939.94%31965348.85%111537012327371685861
16Islanders504010001017-72020000026-430201000811-320.20010172700204165151081823084286815855448012216.67%12375.00%037684744.39%423105939.94%31965348.85%111537012327371685861
17Monsters2010010036-31000010023-11010000013-210.25034700204165152518230842868321212345120.00%6266.67%037684744.39%423105939.94%31965348.85%111537012327371685861
18Moose1010000024-2000000000001010000024-200.00023500204165158182308428682284192150.00%220.00%037684744.39%423105939.94%31965348.85%111537012327371685861
19Penguins1000010001-1000000000001000010001-110.500000002041651571823084286885212000%10100.00%037684744.39%423105939.94%31965348.85%111537012327371685861
20Phantoms531000102020022000000954311000101115-480.80020315100204165157718230842868120359411315746.67%17664.71%037684744.39%423105939.94%31965348.85%111537012327371685861
21Reign210000014311000000112-11100000031230.75046100020416515281823084286850270377114.29%000%037684744.39%423105939.94%31965348.85%111537012327371685861
22Roadrunners532000002223-1312000001116-522000000117460.60022355700204165159818230842868178697111220420.00%13653.85%137684744.39%423105939.94%31965348.85%111537012327371685861
23Rocket2010100034-11010000002-21000100032120.50035800204165151618230842868288634100.00%3233.33%037684744.39%423105939.94%31965348.85%111537012327371685861
24Senators1010000002-2000000000001010000002-200.0000000020416515618230842868162418100.00%20100.00%037684744.39%423105939.94%31965348.85%111537012327371685861
25Silver Knights22000000725110000002021100000052341.00071320012041651532182308428682980345120.00%000%037684744.39%423105939.94%31965348.85%111537012327371685861
26Stars1000000123-1000000000001000000123-110.500235002041651526182308428682414519100.00%000%037684744.39%423105939.94%31965348.85%111537012327371685861
27Thunderbirds312000001213-1312000001213-10000000000020.3331221330020416515571823084286812238396514535.71%7271.43%037684744.39%423105939.94%31965348.85%111537012327371685861
28Wild1010000023-1000000000001010000023-100.000235002041651521182308428683813611100.00%3166.67%037684744.39%423105939.94%31965348.85%111537012327371685861
29Wolf Pack2110000024-21010000003-31100000021120.50023500204165151718230842868233429200.00%2150.00%037684744.39%423105939.94%31965348.85%111537012327371685861
30Wolves20000110110100000101011000010001-130.750101012041651514182308428681581449100.00%30100.00%037684744.39%423105939.94%31965348.85%111537012327371685861
Total66172606755137169-3233814023336887-1933912044226982-13680.515137212349072041651595118230842868134747757712521423323.24%1324069.70%537684744.39%423105939.94%31965348.85%111537012327371685861
_Since Last GM Reset66172606755137169-3233814023336887-1933912044226982-13680.515137212349072041651595118230842868134747757712521423323.24%1324069.70%537684744.39%423105939.94%31965348.85%111537012327371685861
_Vs Conference409170333599127-2821510002135269-171947031224758-11380.47599156255002041651565218230842868988356433779992727.27%892967.42%437684744.39%423105939.94%31965348.85%111537012327371685861
_Vs Division13812021141925-6748001031115-464402011810-2271.0381931500220416515154182308428682087010325028621.43%24962.50%137684744.39%423105939.94%31965348.85%111537012327371685861

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6668W21372123499511347477577125207
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6617266755137169
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3381423336887
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3391244226982
Derniers 10 matchs
WLOTWOTL SOWSOL
430102
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1423323.24%1324069.70%5
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
1823084286820416515
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
37684744.39%423105939.94%31965348.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
111537012327371685861


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
43533Marlies4Admirals3WXSommaire du match
44542Phantoms2Marlies3WSommaire du match
45562IceHogs0Marlies2WSommaire du match
46577Marlies0IceHogs1LXSommaire du match
47588Marlies3Barracuda0WSommaire du match
48603Eagles3Marlies2LXSommaire du match
49621Marlies6Roadrunners5WSommaire du match
50633Marlies0Senators2LSommaire du match
51646Wolves0Marlies1WXXSommaire du match
52666Islanders1Marlies0LSommaire du match
53679Marlies0Comets4LSommaire du match
54694Thunderbirds5Marlies3LSommaire du match
56713Marlies3Rocket2WXSommaire du match
57727Roadrunners1Marlies3WSommaire du match
58742Marlies2Stars3LXXSommaire du match
59759Canucks1Marlies2WXXSommaire du match
60772Marlies4Islanders3WXSommaire du match
62785Gulls0Marlies1WXSommaire du match
64806Marlies2Gulls3LSommaire du match
65818Rocket2Marlies0LSommaire du match
66840Bears1Marlies0LXSommaire du match
68852Marlies0Checkers2LSommaire du match
69871Monsters3Marlies2LXSommaire du match
71893Marlies2Heat1WXXSommaire du match
72906Reign2Marlies1LXXSommaire du match
74930Bears5Marlies4LXXSommaire du match
75942Marlies1Monsters3LSommaire du match
76955Marlies2Wolf Pack1WSommaire du match
78968Americans2Marlies1LSommaire du match
80991Marlies0Condors1LXSommaire du match
81999Barracuda4Marlies0LSommaire du match
821012Marlies5Silver Knights2WSommaire du match
831027Marlies2Griffins1WXSommaire du match
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
Assistance45,73224,805
Assistance PCT69.29%75.17%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
10 2137 - 71.25% 89,070$2,939,316$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,182,823$ 3,655,567$ 3,655,567$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
32,639$ 2,609,055$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
890,702$ 29 39,335$ 1,140,715$




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