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Marlies
GP: 86 | W: 36 | L: 37 | OTL: 13 | P: 85
GF: 174 | GA: 219 | PP%: 24.74% | PK%: 71.58%
DG: Phil VendorMolen | Morale : 35 | Moyenne d’équipe : 58

Centre de jeu
Griffins
43-24-19, 105pts
2
1 Marlies
36-37-13, 85pts
Team Stats
OTL1SéquenceW1
25-12-6Fiche domicile17-19-7
18-12-13Fiche domicile19-18-6
5-2-3Derniers 10 matchs3-6-1
2.78Buts par match 2.02
2.94Buts contre par match 2.55
32.12%Pourcentage en avantage numérique24.74%
75.00%Pourcentage en désavantage numérique71.58%
Griffins
43-24-19, 105pts
2
3 Marlies
36-37-13, 85pts
Team Stats
OTL1SéquenceW1
25-12-6Fiche domicile17-19-7
18-12-13Fiche domicile19-18-6
5-2-3Derniers 10 matchs3-6-1
2.78Buts par match 2.02
2.94Buts contre par match 2.55
32.12%Pourcentage en avantage numérique24.74%
75.00%Pourcentage en désavantage numérique71.58%
Meneurs d'équipe
Buts
Oliver Wahlstrom
28
Jacob MacDonaldPasses
Jacob MacDonald
36
Points
Oliver Wahlstrom
59
Plus/Moins
Matias Rajaniemi
4
Victoires
Keith Petruzzelli
34
Pourcentage d’arrêts
Tristan Lennox
0.883

Statistiques d’équipe
Buts pour
174
2.02 GFG
Tirs pour
1266
14.72 Avg
Pourcentage en avantage numérique
24.7%
48 GF
Début de zone offensive
32.6%
Buts contre
219
2.55 GAA
Tirs contre
1748
20.33 Avg
Pourcentage en désavantage numérique
71.6%%
52 GA
Début de la zone défensive
42.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,129
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)X100.0062419486725691695160676525504963696502321,955,000$
2Justin Robidas (R)X100.0071619578648287658165646060474764656402331,421,000$
3Oliver WahlstromX100.0072877474785679665659626259676859706402531,452,000$
4Ville Koivunen (R)X100.0067607771638287655064655761474762626302231,387,000$
5Olle LycksellX100.006441977559617863446953562551516144600261875,000$
6Andre Lee (R)X100.0085798372825382582460566025484860516002531,378,000$
7Ben McCartneyX100.0069716569747478585053605859474759635902431,253,000$
8Riley Duran (R)X100.0072659578677378516642565855474758605802431,345,000$
9Rafael Harvey-PinardXXX100.0070649173645960557355496148585856575802722,227,000$
10Ben KingX100.007677786678545454704956625446455754570242790,000$
11James Malatesta (R)X100.006567697869606252504556565548475646560232841,667$
12Jack Malone (R)XXX100.0079729564725252526543566453444458235502531,342,000$
13Jonathan GrudenXX100.0070706965705961546847566053444457235502621,092,000$
14Ryker EvansX100.008144887774789064256048752560606259690241925,000$
15Jacob MacDonaldX100.0077747970747679682554686562474764776403311,000,000$
16Ryan JohnsonX100.007572837075778548253842603851515056610241925,000$
17Cade Webber (R)X100.0083838263846875462536396237474749645902531,345,000$
18Noel HoefenmayerX100.007674856574484752254842604047475134560271750,000$
19Matias Rajaniemi (R)X100.0084809981813332402527386137464648325502331,344,000$
Rayé
1Nikolai Kovalenko (R)X100.0080449176656274673070646425535364506402631,495,000$
2Aidan McDonoughX100.0075757464754843675059726568444466206002600$
3Judd CaulfieldX100.0082828367847682535049546253474758465902531,381,000$
4Blade JenkinsX100.007773876373494950504946624444445420530252971,000$
5Isaac RatcliffeX100.0069784961784241495047465844444450205102721,088,000$
6Carson Bantle (R)X100.0079827160824039455038466244444450205002400$
7Bear Hughes (R)XXX100.0071668180663331445538445842444450205002531,442,000$
8Dawson BarteauxX100.0076728863724646472540386137454551195402631,106,000$
9Cole KrygierX100.0066744661743836472537415639444448195002631,377,000$
MOYENNE D’ÉQUIPE100.00746981707358645546505361454848574458
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 Petruzzelli100.004440508345935054958145474657846302731,061,000$
2Tristan Lennox (R)100.004442537845914751928145454560736102331,026,000$
Rayé
1Garin Bjorklund (R)100.004440506745894549908145444460195802431,019,000$
2Kevin Mandolese100.00514455875353525655543044445220550252942,000$
MOYENNE D’ÉQUIPE100.0046425279478249538374414545574959
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)RW84283159118375124135127346522.05%32160619.1381119201051014659349.46%9341126000.7335429724
2Ivan IvanMarlies (TOR)C85282452-410010898171458116.37%24142716.795914261141122373242.11%953625110.7314000637
3Jacob MacDonaldMarlies (TOR)D86133649-119345127167122575310.66%104232627.059716191740228139220%04354000.4201324184
4Justin RobidasMarlies (TOR)C85133548-253315105154135461039.63%33192722.67279914520271181257.59%5073835000.5013201415
5Nikolai KovalenkoMarlies (TOR)RW67182745-7201097113123407714.63%24143721.463710121011232981133.03%7572616000.6303011433
6Ville KoivunenMarlies (TOR)RW86182644-147315152126126348314.29%33174320.2891221261390001104149.37%792810000.5000021362
7Andre LeeMarlies (TOR)LW8692029-29845013413366245913.64%25175020.3517891420112502023.67%3002126000.33210253011
8Elmer SoderblomMaple LeafsLW2216824-275345569234023.19%1249522.5442610440000240040.48%421214110.9700001313
9Ryan JohnsonMarlies (TOR)D8651116-3471251191779128355.49%125231526.9221341240001112000%01451000.1400221013
10Cade WebberMarlies (TOR)D8621214-86525114135411794.88%64197122.9327910179000395000%0942000.1400212000
11Riley DuranMarlies (TOR)C864711-5206586196621.05%11101111.761011231011382049.58%238118000.2200000121
12Judd CaulfieldMarlies (TOR)RW815611-182159410121111423.81%7134516.612244430111292142.03%138925000.16210001001
13Ben McCartneyMarlies (TOR)LW86459-2415935437161310.81%1089310.380111170002494035.71%14214000.2000001113
14Ryker EvansMarlies (TOR)D63099-168058104331680%38126520.09033351000186000%01625000.1400000010
15Noel HoefenmayerMarlies (TOR)D86189-17451557912314134.35%45153217.82011167011187000%0723000.1200012000
16Olle LycksellMarlies (TOR)RW76347-180058813916267.69%10102913.54022224000000043.59%273916000.1400000010
17Rafael Harvey-PinardMarlies (TOR)C/LW/RW86123-44032331001210.00%25025.8401106000050064.00%5053000.1200000000
18James MalatestaMarlies (TOR)LW76101-140121190111.11%01942.5600000000215100%210000.1000000100
19Jonathan GrudenMarlies (TOR)C/LW16011100100000%060.390000000000000%000003.2200000000
20Matias RajaniemiMarlies (TOR)D570114009212110%03966.960000500006000%002000.0500000000
21Scott ReedyMaple LeafsC1000000000000%011.070000000000000%00000000000000
22Jack MaloneMarlies (TOR)C/LW/RW5000000220000%0234.770000000000000%01000000000000
23Ben KingMarlies (TOR)C83000000311220%0430.5200000000000037.50%80100000000000
24Dawson BarteauxMarlies (TOR)D4100028010251100%73969.6800004000016000%00100000000000
25Cole KrygierMarlies (TOR)D11000000410000%0948.600000000000000%00100000000000
Statistiques d’équipe totales ou en moyenne1627169273442-20777229016121904126643170113.35%6062573815.82488012815715166814381091311243.82%3437299418220.34936151627313137
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)823431110.8782.4344982101821489681420.73330811646
2Tristan LennoxMarlies (TOR)182620.8832.487260030257117000.8336577000
Statistiques d’équipe totales ou en moyenne1003637130.8792.435225210212174679842368678646


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$0$0$No1,378,000$1,378,000$-------1,378,000$1,378,000$-------NoNo-------Lien
Bear HughesMarlies (TOR)C/LW/RW252001-05-30USAYes172 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,442,000$0$0$No1,442,000$1,442,000$-------1,442,000$1,442,000$-------NoNo-------Lien
Ben KingMarlies (TOR)C242002-05-15BCNo205 Lbs6 ft3NoNoProspectNoNo22024-09-17FalseFalsePro & Farm790,000$0$0$No790,000$--------790,000$--------No--------Lien
Ben McCartneyMarlies (TOR)LW242001-07-13CANNo199 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,253,000$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$0$0$No971,000$--------971,000$--------No--------Lien
Cade WebberMarlies (TOR)D252001-01-05USAYes212 Lbs6 ft7NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,345,000$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)D262000-05-05USANo195 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,377,000$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$0$0$No1,106,000$1,106,000$-------1,106,000$1,106,000$-------NoNo-------Lien
Garin BjorklundMarlies (TOR)G242002-05-28CANYes174 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,019,000$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$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$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$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$0$0$No---------------------------Lien / Lien NHL
James MalatestaMarlies (TOR)LW232003-05-31CANYes193 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm841,667$0$0$No841,667$--------841,667$--------No--------Lien
Jonathan GrudenMarlies (TOR)C/LW262000-05-04USANo192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,092,000$0$0$No1,092,000$--------1,092,000$--------No--------Lien
Judd CaulfieldMarlies (TOR)RW252001-03-19USANo220 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,381,000$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$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$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$0$0$No942,000$--------942,000$--------No--------Lien
Matias RajaniemiMarlies (TOR)D232002-09-11FINYes212 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,344,000$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$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$0$0$No---------------------------Lien
Oliver WahlstromMarlies (TOR)RW252000-06-13USANo205 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,452,000$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$0$0$No---------------------------Lien
Rafael Harvey-PinardMarlies (TOR)C/LW/RW271999-01-06CANNo181 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm2,227,000$0$0$No2,227,000$--------2,227,000$--------No--------Lien
Riley DuranMarlies (TOR)C242002-01-25USAYes174 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,345,000$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$0$0$No---------------------------Lien
Ryker EvansMarlies (TOR)D242001-12-13CANNo195 Lbs6 ft0NoNoTrade2025-01-20NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Tristan LennoxMarlies (TOR)G232002-10-21CANYes193 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,026,000$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$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
3225.06194 Lbs6 ft22.251,142,365$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ben McCartneyOlle LycksellJustin Robidas30122
2Ville KoivunenOliver WahlstromAndre Lee30122
3Ville KoivunenJustin RobidasOliver Wahlstrom20122
4Ivan IvanJustin RobidasAndre 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
1Olle LycksellAndre LeeJustin Robidas60122
2Ville KoivunenOliver WahlstromIvan Ivan40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldCade Webber60122
2Ryker EvansRyan Johnson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ville KoivunenJustin Robidas60122
2Andre LeeOliver Wahlstrom40122
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
2Justin Robidas40122Ryker EvansRyan Johnson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oliver WahlstromVille Koivunen60122
2Andre LeeJustin Robidas40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldCade Webber60122
2Noel HoefenmayerRyan Johnson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ville KoivunenOliver WahlstromJustin RobidasJacob MacDonaldRyan Johnson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ville KoivunenOliver WahlstromJustin RobidasJacob MacDonaldRyan Johnson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andre Lee, Justin Robidas, Oliver WahlstromJustin Robidas, Andre LeeJustin Robidas
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Johnson, Jacob MacDonald, Cade WebberRyan JohnsonRyan Johnson, Jacob MacDonald
Tirs de pénalité
Andre Lee, Olle Lycksell, Justin Robidas, Ville Koivunen, Oliver Wahlstrom
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
1Admirals200011005501000010012-11000100043130.75058130023627716282234555517241107849400.00%9188.89%2496109545.30%597141642.16%41384848.70%1448484160395721811114
2Americans2020000057-21010000012-11010000045-100.0005101500236277163922345555172561719406233.33%7357.14%1496109545.30%597141642.16%41384848.70%1448484160395721811114
3Barracuda2110000034-11010000004-41100000030320.50033601236277162922345555172241419363133.33%7185.71%0496109545.30%597141642.16%41384848.70%1448484160395721811114
4Bears50200102618-123000010258-320200000110-930.30069150023627716592234555517211128398922100.00%12375.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
5Bruins21001000202100010001011100000010141.00023502236277161822345555172228434000%20100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
6Canucks21000010523100000102111100000031241.000561100236277163422345555172341011465120.00%30100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
7Checkers21100000330110000003121010000002-220.50035800236277162722345555172211218388112.50%4250.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
8Comets2020000028-61010000024-21010000004-400.000235002362771621223455551722171837400.00%4250.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
9Condors2010010025-31010000024-21000010001-110.25022410236277163122345555172451617464125.00%6183.33%0496109545.30%597141642.16%41384848.70%1448484160395721811114
10Crunch32100000853110000003122110000054140.6678142210236277166222345555172401195016531.25%2150.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
11Eagles4120010047-32010010036-32110000011030.375471101236277166422345555172491826654250.00%8187.50%0496109545.30%597141642.16%41384848.70%1448484160395721811114
12Griffins603020011117-640301000713-62000100144050.41711172800236277168422345555172109438012213323.08%15566.67%1496109545.30%597141642.16%41384848.70%1448484160395721811114
13Gulls31101000642100010001012110000054140.667661201236277162622345555172291441494250.00%8275.00%1496109545.30%597141642.16%41384848.70%1448484160395721811114
14Heat20000020422100000102111000001021141.0004480023627716302234555517241131433300.00%20100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
15IceHogs21000100211110000002021000010001-130.75024601236277161522345555172155933300.00%20100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
16Islanders504010001017-72020000026-430201000811-320.20010172700236277161082234555517215855448012216.67%12375.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
17Monsters2010010036-31000010023-11010000013-210.25034700236277162522345555172321212345120.00%6266.67%0496109545.30%597141642.16%41384848.70%1448484160395721811114
18Moose2110000034-1110000001011010000024-220.5003580123627716182234555517230811362150.00%3233.33%0496109545.30%597141642.16%41384848.70%1448484160395721811114
19Penguins21000100211110000002021000010001-130.750235012362771617223455551721774334250.00%20100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
20Phantoms531000102020022000000954311000101115-480.80020315100236277167722345555172120359411315746.67%17664.71%0496109545.30%597141642.16%41384848.70%1448484160395721811114
21Reign52200001812-42010000127-53210000065150.500814220023627716902234555517212652108016212.50%5340.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
22Roadrunners532000002223-1312000001116-522000000117460.60022355700236277169822345555172178697111220420.00%13653.85%1496109545.30%597141642.16%41384848.70%1448484160395721811114
23Rocket2010100034-11010000002-21000100032120.50035800236277161622345555172288634100.00%3233.33%0496109545.30%597141642.16%41384848.70%1448484160395721811114
24Senators2110000012-1110000001011010000002-220.500123012362771620223455551722361141200.00%30100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
25Silver Knights22000000725110000002021100000052341.00071320012362771632223455551722980345120.00%000%0496109545.30%597141642.16%41384848.70%1448484160395721811114
26Stars2010000158-31010000035-21000000123-110.25057120023627716412234555517247221334400.00%40100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
27Thunderbirds514000001622-6312000001213-12020000049-520.20016284400236277169222345555172192606610922836.36%13469.23%0496109545.30%597141642.16%41384848.70%1448484160395721811114
28Wild2020000035-21010000012-11010000023-100.0003580023627716342234555517272271227400.00%6183.33%0496109545.30%597141642.16%41384848.70%1448484160395721811114
29Wolf Pack2110000024-21010000003-31100000021120.50023500236277161722345555172233429200.00%2150.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
30Wolves20000110110100000101011000010001-130.750101012362771614223455551721581449100.00%30100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
Total86243707855174219-454311190343384109-254313180442290110-20850.49417427344721123627716126622345555172174860677416121944824.74%1835271.58%6496109545.30%597141642.16%41384848.70%1448484160395721811114
_Since Last GM Reset86243707855174219-454311190343384109-254313180442290110-20850.49417427344721123627716126622345555172174860677416121944824.74%1835271.58%6496109545.30%597141642.16%41384848.70%1448484160395721811114
_Vs Conference54132504435124166-4228713013136485-2126612031226081-21490.454124200324032362771687222345555172129644958710331353626.67%1263969.05%5496109545.30%597141642.16%41384848.70%1448484160395721811114
_Vs Division19918031143338-510410011031619-3958020111719-2310.816335689132362771626622345555172299105147359461123.91%361363.89%2496109545.30%597141642.16%41384848.70%1448484160395721811114

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8685W1174273447126617486067741612211
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8624377855174219
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
431119343384109
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
431318442290110
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1944824.74%1835271.58%6
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
2234555517223627716
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
496109545.30%597141642.16%41384848.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1448484160395721811114


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
841038Reign5Marlies1LSommaire du match
861059Moose0Marlies1WSommaire du match
871078Marlies1Bears5LSommaire du match
881088Wild2Marlies1LSommaire du match
891102Marlies3Gulls1WSommaire du match
911120Marlies3Thunderbirds7LSommaire du match
921134Senators0Marlies1WSommaire du match
931149Penguins0Marlies2WSommaire du match
951168Marlies4Americans5LSommaire du match
961179Marlies5Crunch2WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971191Condors4Marlies2LSommaire du match
981205Marlies1Thunderbirds2LSommaire du match
991216Marlies1Reign3LSommaire du match
1001226Admirals2Marlies1LXSommaire du match
1021244Marlies0Crunch2LSommaire du match
1031261Stars5Marlies3LSommaire du match
1041272Marlies2Reign1WSommaire du match
1051283Marlies1Eagles0WSommaire du match
1071302Griffins2Marlies1LSommaire du match
1101330Griffins2Marlies3WXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance59,38932,154
Assistance PCT69.06%74.78%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2129 - 70.96% 88,739$3,815,778$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,314,200$ 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$ 3,526,216$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 39,335$ 0$




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