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Roadrunners
GP: 70 | W: 32 | L: 28 | OTL: 10 | P: 74
GF: 269 | GA: 267 | PP%: 24.44% | PK%: 72.41%
DG: Cody Friesen | Morale : 41 | Moyenne d’équipe : 59
Prochains matchs #1095 vs Heat

Centre de jeu
Islanders
35-22-13, 83pts
4
6 Roadrunners
32-28-10, 74pts
Team Stats
L3SéquenceW2
17-10-8Fiche domicile17-13-5
18-12-5Fiche domicile15-15-5
3-3-4Derniers 10 matchs4-5-1
3.39Buts par match 3.84
3.10Buts contre par match 3.81
21.43%Pourcentage en avantage numérique24.44%
76.62%Pourcentage en désavantage numérique72.41%
Admirals
32-27-11, 75pts
3
4 Roadrunners
32-28-10, 74pts
Team Stats
OTL1SéquenceW2
16-16-2Fiche domicile17-13-5
16-11-9Fiche domicile15-15-5
5-2-3Derniers 10 matchs4-5-1
2.23Buts par match 3.84
2.66Buts contre par match 3.81
27.41%Pourcentage en avantage numérique24.44%
68.64%Pourcentage en désavantage numérique72.41%
Heat
40-18-13, 93pts
Jour 88
Roadrunners
32-28-10, 74pts
Statistiques d’équipe
L1SéquenceW2
22-8-5Fiche domicile17-13-5
18-10-8Fiche visiteur15-15-5
7-1-210 derniers matchs4-5-1
2.69Buts par match 3.84
2.35Buts contre par match 3.84
30.68%Pourcentage en avantage numérique24.44%
79.19%Pourcentage en désavantage numérique72.41%
Roadrunners
32-28-10, 74pts
Jour 89
Monsters
22-31-16, 60pts
Statistiques d’équipe
W2SéquenceSOL1
17-13-5Fiche domicile8-17-10
15-15-5Fiche visiteur14-14-6
4-5-110 derniers matchs3-5-2
3.84Buts par match 1.64
3.81Buts contre par match 1.64
24.44%Pourcentage en avantage numérique22.63%
72.41%Pourcentage en désavantage numérique71.72%
Roadrunners
32-28-10, 74pts
Jour 90
Griffins
35-19-15, 85pts
Statistiques d’équipe
W2SéquenceL1
17-13-5Fiche domicile20-10-5
15-15-5Fiche visiteur15-9-10
4-5-110 derniers matchs4-2-4
3.84Buts par match 2.81
3.81Buts contre par match 2.81
24.44%Pourcentage en avantage numérique29.14%
72.41%Pourcentage en désavantage numérique75.62%
Meneurs d'équipe
Buts
Nick Abruzzese
34
Passes
Emil Bemstrom
43
Points
Samuel Helenius
66
Plus/Moins
Spencer Smallman
23
Victoires
Vyacheslav Buteyets
26
Pourcentage d’arrêts
Vyacheslav Buteyets
0.858

Statistiques d’équipe
Buts pour
269
3.84 GFG
Tirs pour
2310
33.00 Avg
Pourcentage en avantage numérique
24.4%
44 GF
Début de zone offensive
37.7%
Buts contre
267
3.81 GAA
Tirs contre
1753
25.04 Avg
Pourcentage en désavantage numérique
72.4%%
64 GA
Début de la zone défensive
34.7%
Informations de l'équipe

Directeur généralCody Friesen
EntraîneurMike Grier
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1Danila Klimovich
Assistant #2Brogan Rafferty


Informations de l’aréna

Capacité3,000
Assistance2,904
Billets de saison1,500


Informations de la formation

Équipe Pro32
Équipe Mineure32
Limite contact 64 / 100
Espoirs152


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
1Nick AbruzzeseX100.0076669568668187637661626155474661776302612,170,000$
2Ryan ReavesXX100.0094677773825060632558566425859160606303912,136,000$
3Ty Mueller (R)X100.0074678870697781627662596254464661766202331,331,000$
4Samuel Helenius (R)X100.0097888574835287616459615825515061836202331,340,000$
5Filip Bystedt (R)X100.0082798568816465617660606556474661686202231,341,000$
6Emil BemstromXXX100.0074439971705179655661575925666759606102631,087,000$
7Owen SillingerX100.007365886765636364786365625847466172610281860,000$
8Danila Klimovich (A)X100.0077757368777680605051656362464662686102331,347,000$
9Luke PhilpX100.0073669166667073597559556153464660616003012,214,000$
10Jakub DemekX100.0083779764775554617661566853444463586002231,197,000$
11Arshdeep Bains (R)X100.0078439978685778655650595925484759686002512,170,000$
12Spencer SmallmanX100.0075728066727478595059566253464660696002911,045,000$
13Caedan BankierX100.0076728466727884567050576354444461195902331,281,000$
14Kevin KorchinskiX100.005740867171718767254949682558575663640212918,333$
15Robbie RussoX100.0077718566718087572555466239474653646203311,078,000$
16Ryan Ufko (R)X100.0073649470668189532547436041464655616102231,298,000$
17Ronnie AttardX100.0074776864777481492538435941464651685902731,188,000$
18Bryce Montgomery (R)X100.0080817780815053412528396137444449205702331,288,000$
19Harrison Brunicke (R)X100.0075767261765152492543396137444451205501931,277,000$
Rayé
1Anthony AngelloX100.0083848065845860546847566653444459185703011,068,000$
2Tyler MaddenX100.0071639166635555597459546151444460205702621,141,000$
3Xavier ParentX100.0064607266605453627857625959444461205702521,024,000$
4Chaz LuciusX100.0076709163705050536652506248444456185502211,325,000$
5Olivier Nadeau (R)X100.0075767280763632555062446242444455205502331,286,000$
6Carson Golder (R)X100.0076718761713734495049446142444452185102331,041,000$
7Calle RosenX100.0076698866697378572550506447464757556103211,500,000$
8Brogan Rafferty (A)X100.0080748865746468542547466243464653475903012,177,000$
9Chase Pietila (R)X100.0078699980693331412528396037444449185302231,263,000$
MOYENNE D’ÉQUIPE100.00776985697261675751525362444848574959
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
1Sebastian Cossa (R)100.00605366946259586560613045455958610232863,333$
2Vyacheslav Buteyets (R)100.004540507846884449908145464658716002331,950,000$
Rayé
1Yaniv Perets (R)100.004650636845894449898145454461546002631,250,000$
2Ben Gaudreau (R)100.004440506745894549908145444460205802311,000,000$
MOYENNE D’ÉQUIPE100.0049465777508148538276414545605160
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Grier62454553474848USA494750,000$


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
1Alex BelzileCoyotesRW57374380-516745198622677613713.86%29130722.941013233512211291174334.45%1194823151.2201324620
2Samuel HeleniusRoadrunners (ARZ)C70283866275452081111934811514.51%13115216.47781518930111397252.09%7913815001.1504414427
3Emil BemstromRoadrunners (ARZ)C/LW/RW692243658001171011926710511.46%28110015.950002162029720151.06%9465913001.1801000154
4Nick AbruzzeseRoadrunners (ARZ)C70342963-148670128821966911417.35%28143120.4591423301481129796151.70%1473815010.8813446634
5Ty MuellerRoadrunners (ARZ)C70223153859351321341686010313.10%17133919.1448121712502241385162.68%2843117000.7901124224
6Owen SillingerRoadrunners (ARZ)C70262248214011667142469818.31%1676010.8700000000000054.22%249337011.2601000232
7Ryan ReavesRoadrunners (ARZ)LW/RW67152742-4512510255134598411.19%2381412.16281022850002711134.89%8342913211.0301122241
8Kevin KorchinskiRoadrunners (ARZ)D694364016271510313811456563.51%75167424.271124840002120000%02342000.4800120122
9Filip BystedtRoadrunners (ARZ)C701721388301011354127428013.39%1076610.9445918116000002055.31%358236010.9914002411
10Arshdeep BainsRoadrunners (ARZ)LW70191635190011849127437714.96%486812.41000140001251141.18%172514000.8100000015
11Danila KlimovichRoadrunners (ARZ)RW701517321120301649016740998.98%21113816.272356117000003053.33%303716000.5601114320
12Robbie RussoRoadrunners (ARZ)D6752227-21466015911310131424.95%79165824.76134111090001129110%02847100.3311237311
13Spencer SmallmanRoadrunners (ARZ)RW7091524232551505672233912.50%1186512.36000011125791042.86%1454000.5500001040
14Luke PhilpRoadrunners (ARZ)C706172310175955456282610.71%775510.79000000004890071.70%53118000.6100010011
15Brogan RaffertyRoadrunners (ARZ)D57318218137551111007239284.17%65137624.1417891340113149000%01628000.3100344001
16Calle RosenRoadrunners (ARZ)D5741620124830103937531245.33%64130422.88112780000180000%02026000.3100114011
17Ryan UfkoRoadrunners (ARZ)D70118191211593846916291.45%48126018.011234670112155000%01524000.3000012000
18Ronnie AttardRoadrunners (ARZ)D70115161457575453121143.23%2488512.65123477000165010%0413000.3600100001
19Bryce MontgomeryRoadrunners (ARZ)D13022-11002244150%815311.830000000001000%011000.2600000000
20Harrison BrunickeRoadrunners (ARZ)D13011300322100%2775.9300000000010000%000000.2600000000
21Caedan BankierRoadrunners (ARZ)C13000000000000%0110.900000000001000%00000000000000
22Jakub DemekRoadrunners (ARZ)C70000000000000%020.030000000000000%00000000000000
23Luke TuchCoyotesLW4000000000000%030.970000000000000%00000000000000
24Michael BuchingerCoyotesD4000-100101000%1215.400000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne13302684477151271080450231114942310797127511.60%5732073215.59447511918813885813541427311248.96%3842484332490.69318222444343435
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
1Vyacheslav ButeyetsRoadrunners (ARZ)55261560.8583.622901411751231575200.750125413002
2Sebastian CossaRoadrunners (ARZ)135620.8413.247600041258152010.2005130000
3Ben GaudreauRoadrunners (ARZ)11000.8573.75320021410000006000
4Yaniv PeretsRoadrunners (ARZ)160720.8274.8353400432481040100351000
Statistiques d’équipe totales ou en moyenne853228100.8513.70422941261175184122177070002


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
Anthony AngelloRoadrunners (ARZ)C301996-03-06USANo228 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,068,000$238,393$0$0$No---------------------------Lien / Lien NHL
Arshdeep BainsRoadrunners (ARZ)LW252001-01-09CANYes184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,170,000$484,375$0$0$No---------------------------Lien
Ben GaudreauRoadrunners (ARZ)G232003-01-11CANYes174 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$223,214$0$0$No---------------------------Lien
Brogan RaffertyRoadrunners (ARZ)D301995-05-28USANo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm2,177,000$485,938$0$0$No---------------------------Lien
Bryce MontgomeryRoadrunners (ARZ)D232002-11-12USAYes216 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,288,000$287,500$0$0$No1,288,000$1,288,000$-------1,288,000$1,288,000$-------NoNo-------Lien
Caedan BankierRoadrunners (ARZ)C232003-01-26CANNo192 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,281,000$285,938$0$0$No1,281,000$1,281,000$-------1,281,000$1,281,000$-------NoNo-------Lien
Calle RosenRoadrunners (ARZ)D321994-02-02SWENo186 Lbs6 ft1NoNoAssign ManuallyNoNo12024-09-09FalseFalsePro & Farm1,500,000$334,821$0$0$No---------------------------Lien / Lien NHL
Carson GolderRoadrunners (ARZ)RW232002-10-29BCYes196 Lbs6 ft0NoNoAssign ManuallyNoNo32025-10-17FalseFalsePro & Farm1,041,000$232,366$0$0$No1,041,000$1,041,000$-------1,041,000$1,041,000$-------NoNo-------Lien
Chase PietilaRoadrunners (ARZ)D222004-03-03USAYes187 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,263,000$281,920$0$0$No1,263,000$1,263,000$-------1,263,000$1,263,000$-------NoNo-------Lien
Chaz LuciusRoadrunners (ARZ)C222003-05-02USANo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,325,000$295,759$0$0$No---------------------------Lien
Danila KlimovichRoadrunners (ARZ)RW232003-01-09BLRNo202 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,347,000$300,670$0$0$No1,347,000$1,347,000$-------1,347,000$1,347,000$-------NoNo-------Lien
Emil BemstromRoadrunners (ARZ)C/LW/RW261999-06-01SWENo190 Lbs6 ft0NoNoAssign ManuallyNoNo32025-12-08FalseFalsePro & Farm1,087,000$242,634$0$0$No1,087,000$1,087,000$-------1,087,000$1,087,000$-------NoNo-------Lien
Filip BystedtRoadrunners (ARZ)C222004-02-04SWEYes210 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,341,000$299,330$0$0$No1,341,000$1,341,000$-------1,341,000$1,341,000$-------NoNo-------Lien
Harrison BrunickeRoadrunners (ARZ)D192006-05-08RSAYes203 Lbs6 ft3NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$285,045$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Jakub DemekRoadrunners (ARZ)C222003-06-06SVKNo203 Lbs6 ft4NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,197,000$267,188$0$0$No1,197,000$1,197,000$-------1,197,000$1,197,000$-------NoNo-------Lien
Kevin KorchinskiRoadrunners (ARZ)D212004-06-21CANNo185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm918,333$204,985$0$0$No918,333$--------918,333$--------No--------Lien
Luke PhilpRoadrunners (ARZ)C301995-11-06CANNo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm2,214,000$494,196$0$0$No---------------------------Lien
Nick AbruzzeseRoadrunners (ARZ)C261999-06-04USANo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm2,170,000$484,375$0$0$No---------------------------Lien
Olivier NadeauRoadrunners (ARZ)RW232003-01-15QCYes205 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$287,054$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Lien
Owen SillingerRoadrunners (ARZ)C281997-09-23CANNo182 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm860,000$191,964$0$0$No---------------------------Lien
Robbie RussoRoadrunners (ARZ)D331993-02-15USANo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,078,000$240,625$0$0$No---------------------------Lien / Lien NHL
Ronnie AttardRoadrunners (ARZ)D271999-03-20USANo207 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,188,000$265,179$0$0$No1,188,000$1,188,000$-------1,188,000$1,188,000$-------NoNo-------Lien
Ryan ReavesRoadrunners (ARZ)LW/RW391987-01-20CANNo225 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,136,000$476,786$0$0$No---------------------------Lien / Lien NHL
Ryan UfkoRoadrunners (ARZ)D222003-05-07USAYes174 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,298,000$289,732$0$0$No1,298,000$1,298,000$-------1,298,000$1,298,000$-------NoNo-------Lien
Samuel HeleniusRoadrunners (ARZ)C232002-11-26USAYes201 Lbs6 ft6NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,340,000$299,107$0$0$No1,340,000$1,340,000$-------1,340,000$1,340,000$-------NoNo-------Lien
Sebastian CossaRoadrunners (ARZ)G232002-11-21CANYes229 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm863,333$192,708$0$0$No863,333$--------863,333$--------No--------Lien
Spencer SmallmanRoadrunners (ARZ)RW291996-09-09CANNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,045,000$233,259$0$0$No---------------------------Lien
Ty MuellerRoadrunners (ARZ)C232003-02-26CANYes185 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,331,000$297,098$0$0$No1,331,000$1,331,000$-------1,331,000$1,331,000$-------NoNo-------Lien
Tyler MaddenRoadrunners (ARZ)C261999-11-09USANo170 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,141,000$254,688$0$0$No1,141,000$--------1,141,000$--------No--------Lien
Vyacheslav ButeyetsRoadrunners (ARZ)G232002-05-29RUSYes185 Lbs6 ft4NoNoProspectNoNo32025-12-08FalseFalsePro & Farm1,950,000$435,268$0$0$No1,950,000$1,950,000$-------1,950,000$1,950,000$-------NoNo-------Lien
Xavier ParentRoadrunners (ARZ)C252001-03-23QUENo170 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm1,024,000$228,571$0$0$No1,024,000$--------1,024,000$--------No--------Lien
Yaniv PeretsRoadrunners (ARZ)G262000-03-04CANYes181 Lbs6 ft1NoNoFree AgentNoNo32025-12-09FalseFalsePro & Farm1,250,000$279,018$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3225.38194 Lbs6 ft12.131,357,958$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan ReavesEmil BemstromNick Abruzzese40122
2Ty MuellerSamuel HeleniusDanila Klimovich30122
3Nick AbruzzeseFilip BystedtLuke Philp20122
4Spencer SmallmanOwen SillingerArshdeep Bains10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiRobbie Russo40122
2Ryan UfkoRonnie Attard30122
3Kevin KorchinskiRobbie Russo20122
4Robbie RussoBryce Montgomery10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan ReavesSamuel HeleniusNick Abruzzese60122
2Ty MuellerFilip BystedtDanila Klimovich40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ronnie AttardKevin Korchinski60122
2Robbie RussoRyan Ufko40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ty MuellerSamuel Helenius60122
2Nick AbruzzeseSpencer Smallman40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiRyan Ufko60122
2Robbie RussoRonnie Attard40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nick Abruzzese60122Robbie RussoKevin Korchinski60122
2Owen Sillinger40122Bryce MontgomeryRonnie Attard40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nick AbruzzeseTy Mueller60122
2Samuel HeleniusArshdeep Bains40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ronnie AttardRobbie Russo60122
2Kevin KorchinskiBryce Montgomery40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan ReavesTy MuellerNick AbruzzeseKevin KorchinskiRobbie Russo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan ReavesTy MuellerNick AbruzzeseKevin KorchinskiRobbie Russo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Helenius, Ty Mueller, Nick AbruzzeseNick Abruzzese, Ty MuellerLuke Philp
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Robbie Russo, Kevin Korchinski, Ronnie AttardRobbie RussoRonnie Attard, Robbie Russo
Tirs de pénalité
Samuel Helenius, Filip Bystedt, Nick Abruzzese, Ryan Reaves, Ty Mueller
Gardien
#1 : Sebastian Cossa, #2 : Vyacheslav Buteyets


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
1Admirals210010001055100010004311100000062441.0001018280066951045736528567863326212078100.00%5260.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
2Americans2200000014410110000007161100000073441.00014233700669510457165285678633621490576350.00%10370.00%1718143849.93%652132249.32%511105548.44%143370513057341495701
3Bears412001001619-311000000312302001001318-530.37516294510669510451326528567863311750651197114.29%15473.33%0718143849.93%652132249.32%511105548.44%143370513057341495701
4Bruins3210000013103211000008711100000053240.6671324370066951045121652856786335618361102150.00%8275.00%1718143849.93%652132249.32%511105548.44%143370513057341495701
5Canucks20100001913-41010000047-31000000156-110.2509142300669510456265285678633512033664125.00%4325.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
6Checkers1000010034-1000000000001000010034-110.500336006695104537652856786331932373133.33%10100.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
7Comets2020000059-41010000023-11010000036-300.000571200669510455665285678633381226903133.33%8537.50%1718143849.93%652132249.32%511105548.44%143370513057341495701
8Condors210001006421000010012-11100000052330.750610160066951045506528567863335108836116.67%4175.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
9Crunch330000001367220000008441100000052361.00013233600669510451006528567863361233810210330.00%9188.89%0718143849.93%652132249.32%511105548.44%143370513057341495701
10Eagles21100000651110000004221010000023-120.5006121800669510455965285678633511520664125.00%5180.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
11Griffins31000011981200000115501100000043150.8339918006695104595652856786336414479617211.76%11281.82%0718143849.93%652132249.32%511105548.44%143370513057341495701
12Gulls2020000026-41010000013-21010000013-200.000246006695104546652856786333872070200.00%5260.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
13Heat1010000016-5000000000001010000016-500.0001230066951045306528567863323103127300.00%8362.50%0718143849.93%652132249.32%511105548.44%143370513057341495701
14IceHogs3300000015411220000009271100000062461.0001525400166951045976528567863367141051008337.50%10280.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
15Islanders413000001419-521100000810-22020000069-320.250142337006695104514265285678633141573111914214.29%13376.92%0718143849.93%652132249.32%511105548.44%143370513057341495701
16Marlies523000002322120200000711-4321000001611540.40023355800669510451786528567863398317517913646.15%20480.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
17Monsters11000000826110000008260000000000021.000815230066951045416528567863311728402150.00%40100.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
18Moose11000000413110000004130000000000021.00046100066951045266528567863385441400.00%20100.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
19Penguins31100001990110000004132010000158-330.50091524106695104580652856786335622211107228.57%8362.50%1718143849.93%652132249.32%511105548.44%143370513057341495701
20Phantoms21001000853000000000002100100085341.0008142200669510454965285678633381912607342.86%6266.67%0718143849.93%652132249.32%511105548.44%143370513057341495701
21Reign523000001822-431200000913-42110000099040.400182846006695104518165285678633201589012221523.81%15380.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
22Rocket21000001651110000004221000000123-130.75069150066951045696528567863326102075100.00%50100.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
23Senators1000010056-11000010056-10000000000010.5005101500669510453865285678633381410265240.00%50100.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
24Silver Knights210001008801000010067-11100000021130.750814220066951045696528567863350929733133.33%20100.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
25Stars20200000411-71010000026-41010000025-300.00046100066951045636528567863349253057400.00%10370.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
26Thunderbirds513010002330-7312000001315-2201010001015-540.400233962006695104518665285678633187439714117211.76%21671.43%1718143849.93%652132249.32%511105548.44%143370513057341495701
27Wild20200000712-51010000037-41010000045-100.000712190066951045676528567863382253648200.00%8537.50%0718143849.93%652132249.32%511105548.44%143370513057341495701
28Wolf Pack1010000015-4000000000001010000015-400.000112006695104526652856786331731740000%6350.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
29Wolves210001009721000010045-11100000052330.7509172600669510456665285678633431443794250.00%4175.00%0718143849.93%652132249.32%511105548.44%143370513057341495701
Total70282803614269267235151301411133126735131502203136141-5740.52926944771621669510452310652856786331753573108423111804424.44%2326472.41%5718143849.93%652132249.32%511105548.44%143370513057341495701
_Since Last GM Reset70282803614269267235151301411133126735131502203136141-5740.52926944771621669510452310652856786331753573108423111804424.44%2326472.41%5718143849.93%652132249.32%511105548.44%143370513057341495701
_Vs Conference42151903212162170-819880101170691237110220192101-9420.5001622624242066951045140265285678633114038763513091282821.88%1503974.00%3718143849.93%652132249.32%511105548.44%143370513057341495701
_Vs Division20914021118665211147000114436895702100422913260.65086136222006695104570965285678633424127318682571831.58%691282.61%2718143849.93%652132249.32%511105548.44%143370513057341495701

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7074W2269447716231017535731084231121
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7028283614269267
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3515131411133126
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3513152203136141
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1804424.44%2326472.41%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
6528567863366951045
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
718143849.93%652132249.32%511105548.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
143370513057341495701


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
110Islanders6Roadrunners2LSommaire du match
222Bears1Roadrunners3WSommaire du match
445Roadrunners4Phantoms2WSommaire du match
555Roadrunners4Griffins3WSommaire du match
665Roadrunners6Thunderbirds5WXSommaire du match
883Reign4Roadrunners2LSommaire du match
991Roadrunners5Bears7LSommaire du match
10111Bruins4Roadrunners7WSommaire du match
11130Roadrunners5Canucks6LXXSommaire du match
12142IceHogs0Roadrunners6WSommaire du match
14160Crunch1Roadrunners4WSommaire du match
15168Roadrunners7Marlies2WSommaire du match
16194Roadrunners3Bears4LXSommaire du match
17203Thunderbirds6Roadrunners5LSommaire du match
18220Roadrunners1Heat6LSommaire du match
20237Reign7Roadrunners1LSommaire du match
21254Marlies5Roadrunners2LSommaire du match
23270Roadrunners5Reign3WSommaire du match
24284Roadrunners3Checkers4LXSommaire du match
25298Americans1Roadrunners7WSommaire du match
27314Roadrunners5Bears7LSommaire du match
28323Roadrunners6Admirals2WSommaire du match
29337Crunch3Roadrunners4WSommaire du match
30358Eagles2Roadrunners4WSommaire du match
31366Roadrunners4Wild5LSommaire du match
32385Roadrunners8Marlies6WSommaire du match
33400Senators6Roadrunners5LXSommaire du match
34419Wolves5Roadrunners4LXSommaire du match
35429Roadrunners5Condors2WSommaire du match
36446Condors2Roadrunners1LXSommaire du match
38465Roadrunners2Rocket3LXXSommaire du match
39474Roadrunners1Gulls3LSommaire du match
40490Roadrunners1Wolf Pack5LSommaire du match
41498Stars6Roadrunners2LSommaire du match
42520Roadrunners3Islanders5LSommaire du match
43530Silver Knights7Roadrunners6LXSommaire du match
44554Moose1Roadrunners4WSommaire du match
45567Roadrunners4Reign6LSommaire du match
46583Rocket2Roadrunners4WSommaire du match
48602Roadrunners5Wolves2WSommaire du match
49621Marlies6Roadrunners5LSommaire du match
50635Roadrunners2Silver Knights1WSommaire du match
51649Gulls3Roadrunners1LSommaire du match
52669Wild7Roadrunners3LSommaire du match
53682Roadrunners4Phantoms3WXSommaire du match
54697Roadrunners7Americans3WSommaire du match
55712IceHogs2Roadrunners3WSommaire du match
57727Roadrunners1Marlies3LSommaire du match
58741Canucks7Roadrunners4LSommaire du match
59762Penguins1Roadrunners4WSommaire du match
61776Roadrunners5Crunch2WSommaire du match
62787Roadrunners4Thunderbirds10LSommaire du match
63800Griffins2Roadrunners3WXXSommaire du match
65823Thunderbirds3Roadrunners5WSommaire du match
66834Roadrunners3Islanders4LSommaire du match
68858Reign2Roadrunners6WSommaire du match
69877Roadrunners2Stars5LSommaire du match
70887Comets3Roadrunners2LSommaire du match
71899Roadrunners5Bruins3WSommaire du match
73918Griffins3Roadrunners2LXXSommaire du match
74936Roadrunners6IceHogs2WSommaire du match
75946Roadrunners3Comets6LSommaire du match
77957Thunderbirds6Roadrunners3LSommaire du match
79980Bruins3Roadrunners1LSommaire du match
80994Roadrunners2Eagles3LSommaire du match
811007Roadrunners3Penguins4LXXSommaire du match
821021Monsters2Roadrunners8WSommaire du match
841039Roadrunners2Penguins4LSommaire du match
851050Islanders4Roadrunners6WSommaire du match
861071Admirals3Roadrunners4WXSommaire du match
881095Heat-Roadrunners-
891098Roadrunners-Monsters-
901117Roadrunners-Griffins-
911132Roadrunners-Admirals-
921145Islanders-Roadrunners-
941162Roadrunners-Moose-
951174Barracuda-Roadrunners-
961181Roadrunners-Griffins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981203Checkers-Roadrunners-
1001224Roadrunners-Phantoms-
1011233Bears-Roadrunners-
1031260Roadrunners-Barracuda-
1041265Wolf Pack-Roadrunners-
1061288Phantoms-Roadrunners-
1081308Roadrunners-Senators-
1101331Phantoms-Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2510
Assistance67,22834,413
Assistance PCT96.04%98.32%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
8 2904 - 96.80% 86,200$3,016,994$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,794,799$ 4,345,466$ 4,345,466$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
38,799$ 3,212,246$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
689,599$ 25 45,495$ 1,137,375$




Roadrunners 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

Roadrunners 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

Roadrunners 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

Roadrunners 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

Roadrunners 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