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Marlies
GP: 64 | W: 32 | L: 27 | OTL: 5 | P: 69
GF: 216 | GA: 215 | PP%: 22.34% | PK%: 84.42%
DG: Alain Ricard | Morale : 51 | Moyenne d’équipe : 63
Prochains matchs #1012 vs Moose
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Centre de jeu
Wolf Pack
30-27-5, 65pts
0
FINAL
4 Marlies
32-27-5, 69pts
Team Stats
W1SéquenceW3
17-13-1Fiche domicile18-10-3
13-14-4Fiche domicile14-17-2
3-5-2Derniers 10 matchs6-4-0
3.11Buts par match 3.38
3.31Buts contre par match 3.36
20.12%Pourcentage en avantage numérique22.34%
79.08%Pourcentage en désavantage numérique84.42%
PenguinsF
31-28-4, 66pts
0
FINAL
4 Marlies
32-27-5, 69pts
Team Stats
L1SéquenceW3
15-14-2Fiche domicile18-10-3
16-14-2Fiche domicile14-17-2
4-4-2Derniers 10 matchs6-4-0
3.33Buts par match 3.38
3.30Buts contre par match 3.36
21.58%Pourcentage en avantage numérique22.34%
75.00%Pourcentage en désavantage numérique84.42%
Moose
33-27-5, 71pts
2025-01-21
Marlies
32-27-5, 69pts
Statistiques d’équipe
L1SéquenceW3
17-11-3Fiche domicile18-10-3
16-16-2Fiche visiteur14-17-2
8-2-010 derniers matchs6-4-0
3.48Buts par match 3.38
3.48Buts contre par match 3.38
20.51%Pourcentage en avantage numérique22.34%
76.62%Pourcentage en désavantage numérique84.42%
Marlies
32-27-5, 69pts
2025-01-24
Wolves
28-26-6, 62pts
Statistiques d’équipe
W3SéquenceW1
18-10-3Fiche domicile16-12-3
14-17-2Fiche visiteur12-14-3
6-4-010 derniers matchs5-4-1
3.38Buts par match 3.00
3.36Buts contre par match 3.00
22.34%Pourcentage en avantage numérique19.02%
84.42%Pourcentage en désavantage numérique78.37%
Crunch
30-28-5, 65pts
2025-01-26
Marlies
32-27-5, 69pts
Statistiques d’équipe
L2SéquenceW3
19-9-3Fiche domicile18-10-3
11-19-2Fiche visiteur14-17-2
5-4-110 derniers matchs6-4-0
3.10Buts par match 3.38
3.19Buts contre par match 3.38
17.22%Pourcentage en avantage numérique22.34%
78.13%Pourcentage en désavantage numérique84.42%
Meneurs d'équipe
Buts
Joseph Cramarossa
26
Passes
Peyton Krebs
42
Points
Peyton Krebs
61
Plus/Moins
Peyton Krebs
13
Victoires
Sami Aittokallio
21
Pourcentage d’arrêts
Michael Houser
0.906

Statistiques d’équipe
Buts pour
216
3.38 GFG
Tirs pour
1879
29.36 Avg
Pourcentage en avantage numérique
22.3%
44 GF
Début de zone offensive
39.6%
Buts contre
215
3.36 GAA
Tirs contre
1917
29.95 Avg
Pourcentage en désavantage numérique
84.4%%
36 GA
Début de la zone défensive
40.8%
Informations de l'équipe

Directeur généralAlain Ricard
EntraîneurBob Gainey
DivisionDivision Nord-Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,854
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure18
Limite contact 52 / 56
Espoirs26


Historique d'équipe

Saison actuelle32-27-5 (69PTS)
Historique77-59-12 (0.520%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)2 - 4 (0.333%)
Coupe Stanley0


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
1Karson KuhlmanXX100.0070498472677987736975717467695756586702922,000,000$
2Janne KuokkanenXX100.0062469175738091726574726966635566676702632,500,000$
3Givani SmithXX100.0077546677757380766475687462555066506602611,500,000$
4Joseph CramarossaXX100.0075687470717280737168777275564950636603211,400,000$
5Peyton Krebs (R)X100.006950807768749072727266706065457057650233900,000$
6Sondre OldenXX100.0069448775697481677170646667685346676503211,200,000$
7Jan Jenik (R)XX100.007655707269757572607070726648457068640243750,000$
8Adam HelewkaXX100.007046757271677567626668736058505635630291800,000$
9Evan Barratt (R)X99.006850807268707066726866676045456036620253750,000$
10Kevin HancockXXX100.006145917268667466696664696252486035620261750,000$
11Philippe CornetX100.0061459770716865666362636662454538576003421,000,000$
12Alan LyszczarczykXXX100.006648857269666662685859636245455826590261750,000$
13Luke Hughes (R)X100.006445887069869071457870716455608060670213900,000$
14Vladislav GavrikovX100.0065498972737788724575697460685258616702912,000,000$
15William LagessonX100.0064478468717471754573737360605154556602811,300,000$
16Dmitri YudinX100.0066458472697370714568617554585154276402921,200,000$
17Thomas LarkinX100.0070658469767072714568687264484642286403421,250,000$
18Kristians RubinsX100.007244897275707166456366725451475762640281750,000$
Rayé
1Tanner RichardXX89.607157746971656664686861736072604556630311900,000$
2Kyle Topping (R)X100.007250757268707067706767676145457049620253750,000$
3Marcus Kallionkeli (R)XX100.006950757271707066606565665845457020610233750,000$
4Maxime FortierXX100.005958877567656565676261676248476420600273700,000$
5Emil Lilleberg (R)X93.147545867271767771457162776245457029650231900,000$
6Nikita CherepanovX100.0063458572737272694564687160595054196402921,200,000$
7David Farrance (R)X100.006545857268757573456965745845457041640253750,000$
8Danila Galenyuk (R)X100.006550807271707067456766706045457020620243750,000$
9David Kvasnicka (R)X100.006545857267707069456660715445456020620253750,000$
10Layton Ahac (R)X100.006845857271707068456258755245457020620233750,000$
11Will WeberX100.006144877175676568456262685946453420610362950,000$
12Zakhar ArzamastsevX100.005643946975666168456163685946455020610321850,000$
13Marc McNultyX100.0065458670756659654561556657454556206002911,000,000$
MOYENNE D’ÉQUIPE99.39674983727171746956686570615348594163
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
1Michael Houser100.007774737676828585868577485550626503221,950,000$
2Sami Aittokallio99.007778777777758180797878475150166303211,400,000$
Rayé
1Maksim Zhukov100.00777968807773737575747548486620600251750,000$
MOYENNE D’ÉQUIPE99.6777777378777780808079774851553363
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Gainey68748782999914CAN704100,000$


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
1Peyton KrebsMarlies (Tor)C641942611316061751474210512.93%3116618.2231316311590000143353.62%143800001.0501000232
2Joseph CramarossaMarlies (Tor)LW/RW622629558591587702115014512.32%10110517.83691542149000086151.11%9000001.0002201435
3Karson KuhlmanMarlies (Tor)LW/RW64262753133567712095115612.44%9115017.98491331159000074148.86%8800010.9213001315
4Jan JenikMarlies (Tor)LW/RW642422460535131711656412214.55%14113517.75369291530000233151.85%8100010.8111001542
5Janne KuokkanenMarlies (Tor)LW/RW64212546-56032592015812110.45%10117918.434913301610000111245.63%10300000.7802000113
6William LagessonMarlies (Tor)D63112435-4360674172164615.28%67124819.815510301110000123010%000000.5600000024
7Luke HughesMarlies (Tor)D5252631-1630052347419556.76%49106320.4626841128000039100%000000.5800000040
8Givani SmithMarlies (Tor)LW/RW53171229-544106941118328514.41%1368512.94000240000634045.24%4200010.8500002211
9Kristians RubinsMarlies (Tor)D59523281252068396017428.33%66120720.47134231411012139100%000000.4600000100
10David FarranceMarlies (Tor)D4632427832042353215349.38%4988519.261012130000128010%000000.6100000031
11Evan BarrattMarlies (Tor)C4471623-312054767617469.21%381618.5633615860000531048.63%102000000.5600000020
12Thomas LarkinMarlies (Tor)D3581422221545233933620.51%3974021.1634710770110102000%000000.5900010210
13Emil LillebergMarlies (Tor)D3661521-15280733046162713.04%5275320.945492490000092010%000000.5600000130
14Kyle ToppingMarlies (Tor)C5071320-5260636768186510.29%678415.690000500021272048.98%102900000.5100000011
15Sondre OldenMarlies (Tor)LW/RW6471320-124029368020688.75%676211.92000026000020039.62%5300000.5224000001
16Vladislav GavrikovMarlies (Tor)D5931619-230070494223357.14%72114419.40011270001158000%000000.3300000101
17Tanner RichardMarlies (Tor)LW/RW6366124195393159213610.17%1064710.2800021501131852145.00%8000100.3700001100
18Kevin HancockMarlies (Tor)C/LW/RW463912-8008484813436.25%553511.651238610001200148.30%50100000.4500000000
19Dmitri YudinMarlies (Tor)D2211011-210018272213144.55%2441618.931561142000015000%000000.5300000100
20Adam HelewkaMarlies (Tor)LW/RW443710114024134914286.12%73517.99000110001580035.71%2800000.5700000101
21Philippe CornetMarlies (Tor)C54347-7008583711258.11%256310.430000000021592043.39%74900000.2500000000
22Nikita CherepanovMarlies (Tor)D12325100103115327.27%823619.7020264000005000%000000.4200000001
23Alan LyszczarczykMarlies (Tor)C/LW/RW9011-200284000%0606.6700000000000048.48%6600000.3300000000
24Marcus KallionkeliMarlies (Tor)LW/RW23000-60023892140%32269.83000000000640034.48%290000000000000
Statistiques d’équipe totales ou en moyenne1152214380594-4252545114210131879540135111.39%5271886816.3844791233401639123121605301348.99%539700130.63413216252928
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
1Sami AittokallioMarlies (Tor)55212130.8793.5225202414812270000.66735311613
2Michael HouserMarlies (Tor)3311620.9062.90134721656900100.800101153210
Statistiques d’équipe totales ou en moyenne88322750.8893.303868452131917010136464823


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam HelewkaMarlies (Tor)LW/RW291995-07-21CANNo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Alan LyszczarczykMarlies (Tor)C/LW/RW261998-02-17POLNo204 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Danila GalenyukMarlies (Tor)D242000-02-11RUSYes207 Lbs6 ft1NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
David FarranceMarlies (Tor)D251999-06-23USAYes189 Lbs5 ft11NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
David KvasnickaMarlies (Tor)D251999-04-14CZEYes181 Lbs5 ft10NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Dmitri YudinMarlies (Tor)D291995-07-31RUSNo198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Emil Lilleberg (sur la masse salariale)Marlies (Tor)D232001-02-02NORYes202 Lbs6 ft2NoNoFree AgentNoNo12024-06-18FalseFalsePro & Farm900,000$0$0$Yes---------------------------Lien
Evan BarrattMarlies (Tor)C251999-02-18USAYes188 Lbs6 ft0NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Givani SmithMarlies (Tor)LW/RW261998-02-28CANNo210 Lbs6 ft2NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Jan JenikMarlies (Tor)LW/RW242000-09-15CZEYes185 Lbs6 ft1NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Janne KuokkanenMarlies (Tor)LW/RW261998-05-25FINNo193 Lbs6 ft1NoNoN/ANoNo32024-04-29FalseFalsePro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------NoNo-------Lien
Joseph CramarossaMarlies (Tor)LW/RW321992-10-26CANNo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,400,000$0$0$No---------------------------Lien
Karson KuhlmanMarlies (Tor)LW/RW291995-09-26USANo185 Lbs6 ft0NoNoN/ANoNo22024-04-29FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Kevin HancockMarlies (Tor)C/LW/RW261998-03-02CANNo181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Kristians RubinsMarlies (Tor)D281997-01-11LVANo227 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Kyle ToppingMarlies (Tor)C251999-11-18CANYes185 Lbs5 ft11NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Layton AhacMarlies (Tor)D232001-02-22CANYes205 Lbs6 ft2NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Luke HughesMarlies (Tor)D212003-09-09USAYes184 Lbs6 ft2NoNoProspectNoNo32024-06-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Maksim ZhukovMarlies (Tor)G251999-07-22RUSNo190 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Marc McNultyMarlies (Tor)D291995-04-05CANNo210 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Marcus KallionkeliMarlies (Tor)LW/RW232001-03-20FINYes201 Lbs6 ft2NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Maxime FortierMarlies (Tor)LW/RW271997-12-15CANNo183 Lbs5 ft10NoNoN/ANoNo32024-04-29FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Michael HouserMarlies (Tor)G321992-09-13USANo185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,950,000$0$0$No1,950,000$--------1,950,000$--------No--------Lien
Nikita CherepanovMarlies (Tor)D291995-11-19RUSNo220 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Peyton KrebsMarlies (Tor)C232001-01-26CANYes186 Lbs6 ft0NoNoProspectNoNo32024-06-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Philippe CornetMarlies (Tor)C341990-03-28CANNo198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Sami AittokallioMarlies (Tor)G321992-08-06FINNo189 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,400,000$0$0$No---------------------------Lien
Sondre OldenMarlies (Tor)LW/RW321992-08-29NORNo172 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Tanner Richard (sur la masse salariale)Marlies (Tor)LW/RW311993-04-06CANNo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$Yes---------------------------Lien
Thomas LarkinMarlies (Tor)D341990-12-31ENGNo227 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien
Vladislav GavrikovMarlies (Tor)D291995-11-21RUSNo213 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Will WeberMarlies (Tor)D361988-10-28CANNo227 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
William LagessonMarlies (Tor)D281996-02-22SWENo207 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Zakhar ArzamastsevMarlies (Tor)D321992-11-06RUSNo220 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3427.71198 Lbs6 ft11.911,082,353$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Janne KuokkanenEvan BarrattKarson Kuhlman34023
2Joseph CramarossaPeyton KrebsJan Jenik34023
3Sondre OldenPhilippe CornetGivani Smith22023
4Adam HelewkaAlan LyszczarczykKevin Hancock10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesVladislav Gavrikov34041
2Dmitri YudinWilliam Lagesson33050
3Kristians RubinsThomas Larkin33050
4Thomas LarkinKristians Rubins0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph CramarossaEvan BarrattKarson Kuhlman50005
2Jan JenikPeyton KrebsJanne Kuokkanen50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesKristians Rubins50023
2Dmitri YudinThomas Larkin50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Philippe CornetKevin Hancock50050
2Evan BarrattGivani Smith50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovKristians Rubins50050
2Thomas LarkinWilliam Lagesson50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Philippe Cornet50050Vladislav GavrikovKristians Rubins50050
2Evan Barratt50050Thomas LarkinWilliam Lagesson50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Peyton KrebsJanne Kuokkanen50023
2Evan BarrattSondre Olden50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesKristians Rubins50050
2Dmitri YudinWilliam Lagesson50050
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sondre OldenPeyton KrebsKarson KuhlmanLuke HughesKristians Rubins
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kevin HancockPhilippe CornetJanne KuokkanenWilliam LagessonVladislav Gavrikov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Janne Kuokkanen, Jan Jenik, Givani SmithSondre Olden, Jan JenikGivani Smith
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Hughes, Vladislav Gavrikov, Dmitri YudinLuke HughesLuke Hughes, Dmitri Yudin
Tirs de pénalité
Sondre Olden, Karson Kuhlman, Peyton Krebs, Janne Kuokkanen, Jan Jenik
Gardien
#1 : Sami Aittokallio, #2 : Michael Houser


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
1Americans403000101017-720200000410-62010001067-120.2501016260078745791035586646363415349437710330.00%18761.11%01024212048.30%1093218250.09%527105250.10%150510171529486836414
2Barracuda1010000015-4000000000001010000015-400.00012300787457923558664636343961528200.00%5260.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
3Bears21000001954210000019540000000000030.750914230078745795855866463634548103710220.00%50100.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
4BruinsF42100100201462100010097221100000117450.6252034540078745791375586646363412233226315213.33%11463.64%01024212048.30%1093218250.09%527105250.10%150510171529486836414
5Canucks1010000023-11010000023-10000000000000.00023500787457918558664636342591421200.00%7271.43%01024212048.30%1093218250.09%527105250.10%150510171529486836414
6Checkers11000000541110000005410000000000021.00057120078745793655866463634389614200.00%3166.67%01024212048.30%1093218250.09%527105250.10%150510171529486836414
7Comets440000001569220000006242200000094581.0001529440278745791165586646363410337205119631.58%10280.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
8Condors22000000954000000000002200000095441.000915240078745795255866463634661729435240.00%120100.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
9Crunch31200000710-3110000003122020000049-520.3337132000787457967558664636341023228454375.00%14285.71%01024212048.30%1093218250.09%527105250.10%150510171529486836414
10Eagles11000000312000000000001100000031221.00035800787457932558664636342390166116.67%000%01024212048.30%1093218250.09%527105250.10%150510171529486836414
11Firebirds52102000181262110000055031002000137680.800183250017874579130558664636341534443947457.14%19289.47%01024212048.30%1093218250.09%527105250.10%150510171529486836414
12Griffins1000010023-1000000000001000010023-110.5002350078745793455866463634206216200.00%10100.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
13Gulls10000010651100000106510000000000021.0006915007874579275586646363429612154125.00%6183.33%01024212048.30%1093218250.09%527105250.10%150510171529486836414
14Icehogs20100001510-51000000156-11010000004-410.25051015007874579695586646363472202141800.00%8275.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
15Iowa Wild1010000003-3000000000001010000003-300.0000000078745792455866463634357722200.00%10100.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
16Islanders2010100078-1000000000002010100078-120.5007111800787457959558664636346520244010110.00%11372.73%01024212048.30%1093218250.09%527105250.10%150510171529486836414
17Monsters11000000321110000003210000000000021.000358007874579285586646363421821154250.00%70100.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
18Moose412010001113-2211000006602010100057-240.5001118290078745791115586646363413140368110110.00%170100.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
19PenguinsF421001001410411000000404311001001010050.6251426400178745791325586646363410230226611327.27%11190.91%01024212048.30%1093218250.09%527105250.10%150510171529486836414
20Phantoms4220000014131211000005502110000098140.500142741007874579117558664636349423286712216.67%14192.86%01024212048.30%1093218250.09%527105250.10%150510171529486836414
21Reign11000000312110000003120000000000021.0003690078745793455866463634292621500.00%30100.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
22Rocket20200000613-720200000613-70000000000000.000611170078745794955866463634541620276116.67%10190.00%11024212048.30%1093218250.09%527105250.10%150510171529486836414
23SenatorsF403010001217-52010100056-120200000711-420.2501222340078745791095586646363411827468416531.25%130100.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
24Silver Knights11000000312110000003120000000000021.0003580078745792455866463634309810200.00%30100.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
25StarsF1010000056-11010000056-10000000000000.000510150078745794055866463634294422300.00%20100.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
26Thunderbirds1010000048-4000000000001010000048-400.000481200787457929558664636345210122211100.00%6350.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
27Wolf Pack3120000079-2110000004042020000039-620.333712190178745791035586646363484312056700.00%9277.78%01024212048.30%1093218250.09%527105250.10%150510171529486836414
28Wolves2200000012482200000012480000000000041.000122234007874579935586646363432743810440.00%20100.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
29Wranglers1010000037-4000000000001010000037-400.0003580078745792555866463634428610200.00%30100.00%01024212048.30%1093218250.09%527105250.10%150510171529486836414
Total6425270532221621513116100111211092183391704210106123-17690.539216380596057874579187955866463634191752752911421974422.34%2313684.42%11024212048.30%1093218250.09%527105250.10%150510171529486836414
_Since Last GM Reset6425270532221621513116100111211092183391704210106123-17690.539216380596057874579187955866463634191752752911421974422.34%2313684.42%11024212048.30%1093218250.09%527105250.10%150510171529486836414
_Vs Conference4819200521116715512241380110183681524612041108487-3530.55216729446105787457914205586646363414054063728401493724.83%1672684.43%11024212048.30%1093218250.09%527105250.10%150510171529486836414
_Vs Division2229011108157241115011004318251114000103839-190.2058114622704787457970655866463634555164149370832024.10%69986.96%01024212048.30%1093218250.09%527105250.10%150510171529486836414

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6469W321638059618791917527529114205
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6425275322216215
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
311610111211092
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
339174210106123
Derniers 10 matchs
WLOTWOTL SOWSOL
541000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1974422.34%2313684.42%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
558664636347874579
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
1024212048.30%1093218250.09%527105250.10%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
150510171529486836414


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
2 - 2024-09-069Comets0Marlies3WSommaire du match
5 - 2024-09-0932Marlies2PenguinsF3LXSommaire du match
7 - 2024-09-1150Moose1Marlies2WSommaire du match
9 - 2024-09-1364Marlies2Firebirds1WXSommaire du match
11 - 2024-09-1571Phantoms3Marlies5WSommaire du match
13 - 2024-09-1789Marlies6Phantoms2WSommaire du match
15 - 2024-09-19108BruinsF5Marlies4LXSommaire du match
17 - 2024-09-21126Marlies6Americans5WXXSommaire du match
19 - 2024-09-23140Marlies8BruinsF3WSommaire du match
21 - 2024-09-25150Moose5Marlies4LSommaire du match
23 - 2024-09-27167Marlies6Comets4WSommaire du match
25 - 2024-09-29181Bears2Marlies7WSommaire du match
27 - 2024-10-01198Marlies7Firebirds3WSommaire du match
28 - 2024-10-02210Crunch1Marlies3WSommaire du match
31 - 2024-10-05225Marlies1Moose4LSommaire du match
33 - 2024-10-07239Marlies5SenatorsF6LSommaire du match
36 - 2024-10-10251Rocket7Marlies4LSommaire du match
38 - 2024-10-12272Marlies0Icehogs4LSommaire du match
39 - 2024-10-13281Icehogs6Marlies5LXXSommaire du match
42 - 2024-10-16302Marlies3Phantoms6LSommaire du match
44 - 2024-10-18316Bears3Marlies2LXXSommaire du match
47 - 2024-10-21337Marlies2Wolf Pack5LSommaire du match
48 - 2024-10-22345Americans5Marlies2LSommaire du match
51 - 2024-10-25365Marlies1Barracuda5LSommaire du match
53 - 2024-10-27378Phantoms2Marlies0LSommaire du match
55 - 2024-10-29390Marlies2Griffins3LXSommaire du match
57 - 2024-10-31409Reign1Marlies3WSommaire du match
61 - 2024-11-04435Checkers4Marlies5WSommaire du match
64 - 2024-11-07452Marlies5Islanders4WXSommaire du match
66 - 2024-11-09467Marlies3BruinsF4LSommaire du match
67 - 2024-11-10475Firebirds0Marlies2WSommaire du match
70 - 2024-11-13495Rocket6Marlies2LSommaire du match
72 - 2024-11-15510Marlies4Moose3WXSommaire du match
74 - 2024-11-17522Marlies2SenatorsF5LSommaire du match
76 - 2024-11-19535Wolves2Marlies6WSommaire du match
78 - 2024-11-21553Marlies3Wranglers7LSommaire du match
80 - 2024-11-23567Canucks3Marlies2LSommaire du match
82 - 2024-11-25586Marlies3PenguinsF4LSommaire du match
84 - 2024-11-27600SenatorsF2Marlies3WXSommaire du match
86 - 2024-11-29617Marlies3Comets0WSommaire du match
88 - 2024-12-01631Comets2Marlies3WSommaire du match
90 - 2024-12-03647Marlies4Thunderbirds8LSommaire du match
92 - 2024-12-05664BruinsF2Marlies5WSommaire du match
94 - 2024-12-07681Marlies3Eagles1WSommaire du match
97 - 2024-12-10695Americans5Marlies2LSommaire du match
99 - 2024-12-12716Marlies5PenguinsF3WSommaire du match
101 - 2024-12-14725Marlies1Crunch4LSommaire du match
102 - 2024-12-15734Gulls5Marlies6WXXSommaire du match
105 - 2024-12-18758Silver Knights1Marlies3WSommaire du match
107 - 2024-12-20765Marlies3Crunch5LSommaire du match
109 - 2024-12-22782Marlies2Islanders4LSommaire du match
111 - 2024-12-24796Monsters2Marlies3WSommaire du match
114 - 2024-12-27819Marlies0Iowa Wild3LSommaire du match
115 - 2024-12-28829Firebirds5Marlies3LSommaire du match
117 - 2024-12-30845Marlies1Wolf Pack4LSommaire du match
119 - 2025-01-01855Marlies4Condors3WSommaire du match
120 - 2025-01-02863Wolves2Marlies6WSommaire du match
124 - 2025-01-06892SenatorsF4Marlies2LSommaire du match
126 - 2025-01-08910Marlies4Firebirds3WXSommaire du match
127 - 2025-01-09920Marlies0Americans2LSommaire du match
129 - 2025-01-11930StarsF6Marlies5LSommaire du match
131 - 2025-01-13951Marlies5Condors2WSommaire du match
133 - 2025-01-15963Wolf Pack0Marlies4WSommaire du match
137 - 2025-01-19988PenguinsF0Marlies4WSommaire du match
139 - 2025-01-211012Moose-Marlies-
142 - 2025-01-241030Marlies-Wolves-
144 - 2025-01-261047Crunch-Marlies-
145 - 2025-01-271052Marlies-Rocket-
148 - 2025-01-301080Wolf Pack-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2025-02-011092Marlies-Bears-
152 - 2025-02-031105Marlies-Rocket-
153 - 2025-02-041117Comets-Marlies-
157 - 2025-02-081136Marlies-Bears-
159 - 2025-02-101150Roadrunners-Marlies-
162 - 2025-02-131171Marlies-Checkers-
163 - 2025-02-141183PenguinsF-Marlies-
166 - 2025-02-171202Marlies-Checkers-
168 - 2025-02-191213Admirals-Marlies-
173 - 2025-02-241243Islanders-Marlies-
177 - 2025-02-281268Islanders-Marlies-
180 - 2025-03-031282Marlies-Wolves-
183 - 2025-03-061307Checkers-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance59,10029,366
Assistance PCT95.32%94.73%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
10 2854 - 95.12% 106,390$3,298,101$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,720,777$ 3,500,000$ 3,500,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,646,715$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,063,904$ 48 19,459$ 934,032$




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
1Karson Kuhlman1455782139217814015145512.53%29257617.771522378500019454.90%11.0817
2Joseph Cramarossa14462761383712524214443514.25%25258817.9813233672011212453.27%01.0728
3William Lagesson123206181-3581279615313.07%155251320.44111930690001210%00.6400
4Jackson Cates813247792882014521614.81%16154719.10813214000025154.22%01.0200
5Givani Smith127383775-19120511931312.14%31191615.0947113300026142.98%10.7800

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
1Sami Aittokallio113473940.8793.4652376630224890110.7147
2Michael Houser67261440.9102.7330294213815330320.82128
3Maksim Zhukov134620.8663.52562203324700000

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
Saison régulière
1582393202243288266224120140221215213121411918000311361351952885158033311385848246582184977643235573360313252416125.31%2476175.30%21467274253.50%1344268750.02%739143551.50%1968135719186041080541
166425270532221621513116100111211092183391704210106123-1769216380596057874579187955866463634191752752911421974422.34%2313684.42%11024212048.30%1093218250.09%527105250.10%150510171529486836414
Total Saison régulière14664590756550448123723624033242622233974283504241242258-1616450489513993819115914117434413791513141277427212601132246743810523.97%4789779.71%32491486251.23%2437486950.05%1266248750.90%34732374344810901916956
Séries éliminatoires
15624000001519-43120000069-331200000910-141528430066301787249570177455712016318.75%23482.61%010720751.69%12021356.34%459845.92%14195140457837
Total Séries éliminatoires624000001519-43120000069-331200000910-141528430066301787249570177455712016318.75%23482.61%010720751.69%12021356.34%459845.92%14195140457837

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
1Sebastian Wannstrom644850481625.00%19215.38011200000075.00%01.7300
2Jordan Weal613430171010.00%39816.43000000000047.54%00.8100
3Givani Smith6134-213157175.88%310918.20112100000044.44%00.7300
4Karson Kuhlman5123-2054128.33%07615.21011300000042.86%00.7900
5Jackson Cates5123-22110119.09%39018.06101200011055.47%00.6600

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
1Sami Aittokallio62300.8972.98302001514601000
2Michael Houser20100.8714.21570043100000