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Roadrunners
GP: 25 | W: 13 | L: 9 | OTL: 3 | P: 29
GF: 105 | GA: 96 | PP%: 23.53% | PK%: 77.53%
DG: Cody Friesen | Morale : 50 | Moyenne d’équipe : 59
Prochains matchs #385 vs Marlies

Centre de jeu
Eagles
9-10-4, 22pts
2
4 Roadrunners
13-9-3, 29pts
Team Stats
SOL1SéquenceL1
6-5-1Fiche domicile7-5-0
3-5-3Fiche domicile6-4-3
4-5-1Derniers 10 matchs5-4-1
2.57Buts par match 4.20
3.22Buts contre par match 3.84
46.55%Pourcentage en avantage numérique23.53%
70.69%Pourcentage en désavantage numérique77.53%
Roadrunners
13-9-3, 29pts
4
5 Wild
22-2-0, 44pts
Team Stats
L1SéquenceW5
7-5-0Fiche domicile10-2-0
6-4-3Fiche domicile12-0-0
5-4-1Derniers 10 matchs9-1-0
4.20Buts par match 4.38
3.84Buts contre par match 2.33
23.53%Pourcentage en avantage numérique19.35%
77.53%Pourcentage en désavantage numérique79.55%
Roadrunners
13-9-3, 29pts
Jour 32
Marlies
7-14-3, 17pts
Statistiques d’équipe
L1SéquenceL1
7-5-0Fiche domicile3-8-1
6-4-3Fiche visiteur4-6-2
5-4-110 derniers matchs3-6-1
4.20Buts par match 2.08
3.84Buts contre par match 2.08
23.53%Pourcentage en avantage numérique28.07%
77.53%Pourcentage en désavantage numérique63.93%
Senators
11-11-2, 24pts
Jour 33
Roadrunners
13-9-3, 29pts
Statistiques d’équipe
L1SéquenceL1
8-3-1Fiche domicile7-5-0
3-8-1Fiche visiteur6-4-3
6-3-110 derniers matchs5-4-1
3.46Buts par match 4.20
3.50Buts contre par match 4.20
26.79%Pourcentage en avantage numérique23.53%
72.06%Pourcentage en désavantage numérique77.53%
Wolves
13-9-2, 28pts
Jour 34
Roadrunners
13-9-3, 29pts
Statistiques d’équipe
W2SéquenceL1
6-4-2Fiche domicile7-5-0
7-5-0Fiche visiteur6-4-3
5-5-010 derniers matchs5-4-1
1.88Buts par match 4.20
2.33Buts contre par match 4.20
21.82%Pourcentage en avantage numérique23.53%
73.17%Pourcentage en désavantage numérique77.53%
Meneurs d'équipe
Buts
Nick Abruzzese
14
Ryan ReavesPasses
Ryan Reaves
22
Alex BelzilePoints
Alex Belzile
31
Plus/Moins
Emil Bemstrom
12
Victoires
Vyacheslav Buteyets
13
Pourcentage d’arrêts
Vyacheslav Buteyets
0.873

Statistiques d’équipe
Buts pour
105
4.20 GFG
Tirs pour
901
36.04 Avg
Pourcentage en avantage numérique
23.5%
16 GF
Début de zone offensive
35.7%
Buts contre
96
3.84 GAA
Tirs contre
728
29.12 Avg
Pourcentage en désavantage numérique
77.5%%
20 GA
Début de la zone défensive
36.7%
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
Assistance2,915
Billets de saison1,500


Informations de la formation

Équipe Pro29
Équipe Mineure34
Limite contact 63 / 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
1Alex BelzileX100.0068745170747882665066616057454662666303421,500,000$
2Ty Mueller (R)X100.0073678869687781627661586354454562616202231,331,000$
3Samuel Helenius (R)X100.0096888573825287606457596025494963666202331,340,000$
4Nick AbruzzeseX100.0075669568668187627659606355454563596202612,170,000$
5Emil BemstromXXX96.3673439971705179645658566025656660516102631,087,000$
6Filip Bystedt (R)X100.0081798467806465627660616656454563626102231,341,000$
7Danila Klimovich (A)X100.0076757367767680605051656462454563616102331,347,000$
8Luke PhilpX100.0073669066667073607560566353454561616003012,214,000$
9Jakub DemekX100.0083779764775554617661566853444463566002231,197,000$
10Owen SillingerX100.007265886765636363786263625845456359600281860,000$
11Arshdeep Bains (R)X100.0078439978685778655650586025464661566002512,170,000$
12Spencer SmallmanX100.0074727966727478605059566253454561586002911,045,000$
13Luke Tuch (R)X100.0078797463795961525049506348444456225502331,340,000$
14Kevin KorchinskiX100.005740867070718765254647682556565861630212918,333$
15Calle RosenX100.0075698866697378562549506347454658576103211,500,000$
16Ryan Ufko (R)X100.0073649369658189522546436041454556576002231,298,000$
17Brogan Rafferty (A)X100.0079748865746468532546466243454554625903012,177,000$
18Ronnie AttardX100.0074776864777481482537436041454552585802631,188,000$
19Michael Buchinger (R)X100.0074708363706266462537406038444451255602131,275,000$
Rayé
1Ryan ReavesXX94.0094677773825060632558566625849061596303912,136,000$
2Tyler MaddenX100.0071639166635555597459546151444460255702621,141,000$
3Xavier ParentX100.0064607266605453627857625959444461255702421,024,000$
4Noah Laba (R)X100.0075728261725049546845586255444458255502231,280,000$
5Olivier Nadeau (R)X100.0075767280763632555062446242444455255502331,286,000$
6Max McCue (R)X100.0059683862684848496147465344444449255002331,379,000$
7Robbie RussoX94.0077718666718087562554466339454555646203211,078,000$
MOYENNE D’ÉQUIPE99.40756882687264705852545462454848595059
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
1Yaniv Perets (R)100.004650636845914550908145444462586002531,250,000$
2Ben Gaudreau (R)100.004440506745894549908145444460425902311,000,000$
Rayé
1Vyacheslav Buteyets (R)94.194540507846894649928145454559626002331,950,000$
MOYENNE D’ÉQUIPE98.0645435471459045499181454444605460
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 BelzileRoadrunners (ARZ)RW25131831-192306426122345510.66%1452721.0853814560004571133.90%59209011.1800213200
2Ryan ReavesRoadrunners (ARZ)LW/RW2592231-23220574288435710.23%1355522.2415611550002691035.01%8141711001.1201112130
3Filip BystedtRoadrunners (ARZ)C251113249175422866224516.67%529411.792351041000001055.49%16481011.6300001310
4Ty MuellerRoadrunners (ARZ)C258152353010312852203615.38%742216.892468470000181173.08%26106001.0900011102
5Emil BemstromRoadrunners (ARZ)C/LW/RW241013231200342658213417.24%532313.48000280003280048.00%25213001.4201000131
6Samuel HeleniusRoadrunners (ARZ)C259132281210704363203914.29%735014.0000000000012149.62%266155001.2600101003
7Nick AbruzzeseRoadrunners (ARZ)C2514822-55440333081254217.28%1250220.104598530003284146.15%65167000.8801134121
8Luke PhilpRoadrunners (ARZ)C2541216118047282812914.29%529811.93000000001380085.19%2754001.0700000011
9Danila KlimovichRoadrunners (ARZ)RW25781526020553460194511.67%738615.46134242000001040.00%10117000.7800004110
10Owen SillingerRoadrunners (ARZ)C258513240231148172916.67%32188.7200000000000063.24%6891001.1900000011
11Robbie RussoRoadrunners (ARZ)D25310130382069534614156.52%4275330.12022762000076100%01521000.3511103201
12Kevin KorchinskiRoadrunners (ARZ)D2501212119524404019120%4258123.26000136000255000%0818000.4100100001
13Spencer SmallmanRoadrunners (ARZ)RW25369260441725131112.00%525510.22000010002310020.00%532000.7000000010
14Arshdeep BainsRoadrunners (ARZ)LW2535810034153413158.82%22429.6900001000071066.67%381000.6600000010
15Brogan RaffertyRoadrunners (ARZ)D251672894546433327103.03%2760924.38123563000273000%0815000.2300333000
16Calle RosenRoadrunners (ARZ)D252467954325321286.25%2048919.5800033600003000%088000.2500010010
17Ryan UfkoRoadrunners (ARZ)D25033120282817360%1136614.6500007000063000%0610000.1600000000
18Ronnie AttardRoadrunners (ARZ)D2502271201558610%52088.3500000000110000%001000.1900000000
19Jakub DemekRoadrunners (ARZ)C25000000000000%010.060000000000000%00000000000000
20Luke TuchRoadrunners (ARZ)LW1000000000000%000.320000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne4751051752807247421075952290134046911.65%232738715.55162743715150002056413443.21%1532188130020.7614101022121511
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)2513630.8733.6813684184659322100.5002250001
2Yaniv PeretsRoadrunners (ARZ)40300.8534.23142001068290100022000
Statistiques d’équipe totales ou en moyenne2913930.8713.74151041947273511122522001


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
Alex BelzileRoadrunners (ARZ)RW341991-08-31CANNo205 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$1,084,821$0$0$No1,500,000$--------1,500,000$--------No--------Lien / Lien NHL
Arshdeep BainsRoadrunners (ARZ)LW252001-01-09CANYes184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,170,000$1,569,375$0$0$No---------------------------Lien
Ben GaudreauRoadrunners (ARZ)G232003-01-11CANYes174 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$723,214$0$0$No---------------------------Lien
Brogan RaffertyRoadrunners (ARZ)D301995-05-28USANo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm2,177,000$1,574,438$0$0$No---------------------------Lien
Calle RosenRoadrunners (ARZ)D321994-02-02SWENo186 Lbs6 ft1NoNoAssign ManuallyNoNo12024-09-09FalseFalsePro & Farm1,500,000$1,084,821$0$0$No---------------------------Lien / Lien NHL
Danila KlimovichRoadrunners (ARZ)RW232003-01-09BLRNo202 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,347,000$974,170$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$786,134$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$969,830$0$0$No1,341,000$1,341,000$-------1,341,000$1,341,000$-------NoNo-------Lien
Jakub DemekRoadrunners (ARZ)C222003-06-06SVKNo203 Lbs6 ft4NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,197,000$865,688$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$664,152$0$0$No918,333$--------918,333$--------No--------Lien
Luke PhilpRoadrunners (ARZ)C301995-11-06CANNo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm2,214,000$1,601,196$0$0$No---------------------------Lien
Luke TuchRoadrunners (ARZ)LW232002-03-07USAYes215 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,340,000$969,107$0$0$No1,340,000$1,340,000$-------1,340,000$1,340,000$-------NoNo-------Lien
Max McCueRoadrunners (ARZ)C232003-02-10ONYes182 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,379,000$997,312$0$0$No1,379,000$1,379,000$-------1,379,000$1,379,000$-------NoNo-------Lien
Michael BuchingerRoadrunners (ARZ)D212004-04-25CANYes192 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,275,000$922,098$0$0$No1,275,000$1,275,000$-------1,275,000$1,275,000$-------NoNo-------Lien
Nick AbruzzeseRoadrunners (ARZ)C261999-06-04USANo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm2,170,000$1,569,375$0$0$No---------------------------Lien
Noah LabaRoadrunners (ARZ)C222003-08-04USAYes192 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,280,000$925,714$0$0$No1,280,000$1,280,000$-------1,280,000$1,280,000$-------NoNo-------Lien
Olivier NadeauRoadrunners (ARZ)RW232003-01-15QCYes205 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$930,054$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$621,964$0$0$No---------------------------Lien
Robbie RussoRoadrunners (ARZ)D321993-02-15USANo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,078,000$779,625$0$0$No---------------------------Lien / Lien NHL
Ronnie AttardRoadrunners (ARZ)D261999-03-20USANo207 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,188,000$859,179$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$1,544,786$0$0$No---------------------------Lien / Lien NHL
Ryan UfkoRoadrunners (ARZ)D222003-05-07USAYes174 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,298,000$938,732$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$969,107$0$0$No1,340,000$1,340,000$-------1,340,000$1,340,000$-------NoNo-------Lien
Spencer SmallmanRoadrunners (ARZ)RW291996-09-09CANNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,045,000$755,759$0$0$No---------------------------Lien
Ty MuellerRoadrunners (ARZ)C222003-02-26CANYes185 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,331,000$962,598$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$825,188$0$0$No1,141,000$--------1,141,000$--------No--------Lien
Vyacheslav ButeyetsRoadrunners (ARZ)G232002-05-29RUSYes185 Lbs6 ft4NoNoProspectNoNo32025-12-08FalseFalsePro & Farm1,950,000$1,410,268$0$0$No1,950,000$1,950,000$-------1,950,000$1,950,000$-------NoNo-------Lien
Xavier ParentRoadrunners (ARZ)C242001-03-23QUENo170 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm1,024,000$740,571$0$0$No1,024,000$--------1,024,000$--------No--------Lien
Yaniv PeretsRoadrunners (ARZ)G252000-03-04CANYes181 Lbs6 ft1NoNoFree AgentNoNo32025-12-09FalseFalsePro & Farm1,250,000$904,018$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
2925.69192 Lbs6 ft12.171,407,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex BelzileEmil BemstromNick Abruzzese40122
2Ty MuellerSamuel HeleniusDanila Klimovich30122
3Alex BelzileFilip BystedtLuke Philp20122
4Spencer SmallmanOwen SillingerArshdeep Bains10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan UfkoKevin Korchinski40122
2Calle RosenBrogan Rafferty30122
3Kevin KorchinskiRyan Ufko20122
4Calle RosenBrogan Rafferty10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex BelzileSamuel HeleniusNick Abruzzese60122
2Ty MuellerFilip BystedtDanila Klimovich40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan UfkoBrogan Rafferty60122
2Kevin KorchinskiCalle Rosen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ty MuellerAlex Belzile60122
2Nick AbruzzeseSpencer Smallman40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenBrogan Rafferty60122
2Kevin KorchinskiRyan Ufko40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Belzile60122Ryan UfkoBrogan Rafferty60122
2Owen Sillinger40122Calle RosenKevin Korchinski40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nick AbruzzeseAlex Belzile60122
2Samuel HeleniusArshdeep Bains40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenKevin Korchinski60122
2Ryan UfkoBrogan Rafferty40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex BelzileTy MuellerNick AbruzzeseCalle RosenKevin Korchinski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex BelzileTy MuellerNick AbruzzeseCalle RosenKevin Korchinski
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Belzile, Ty Mueller, Nick AbruzzeseAlex Belzile, Ty MuellerLuke Philp
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Korchinski, Brogan Rafferty, Ronnie AttardBrogan RaffertyBrogan Rafferty, Kevin Korchinski
Tirs de pénalité
Samuel Helenius, Filip Bystedt, Nick Abruzzese, Alex Belzile, Ty Mueller
Gardien
#1 : Yaniv Perets, #2 : Ben Gaudreau


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
1Admirals11000000624000000000001100000062421.0006101600303539139260330304101491141000%3166.67%024354444.67%24855944.36%17142240.52%517269489258504235
2Americans11000000716110000007160000000000021.00071118003035391472603303041031753273133.33%4175.00%024354444.67%24855944.36%17142240.52%517269489258504235
3Bears412001001619-311000000312302001001318-530.3751629451030353911322603303041011750651197114.29%15473.33%024354444.67%24855944.36%17142240.52%517269489258504235
4Bruins11000000743110000007430000000000021.00071421003035391462603303041024102136100.00%3166.67%024354444.67%24855944.36%17142240.52%517269489258504235
5Canucks1000000156-1000000000001000000156-110.500581300303539139260330304102469273133.33%2150.00%024354444.67%24855944.36%17142240.52%517269489258504235
6Checkers1000010034-1000000000001000010034-110.50033600303539137260330304101932373133.33%10100.00%024354444.67%24855944.36%17142240.52%517269489258504235
7Crunch22000000844220000008440000000000041.000814220030353917126033030410451132665120.00%60100.00%024354444.67%24855944.36%17142240.52%517269489258504235
8Eagles11000000422110000004220000000000021.0004812003035391352603303041029514303133.33%2150.00%024354444.67%24855944.36%17142240.52%517269489258504235
9Griffins11000000431000000000001100000043121.000448003035391362603303041030624366116.67%20100.00%024354444.67%24855944.36%17142240.52%517269489258504235
10Heat1010000016-5000000000001010000016-500.000123003035391302603303041023103127300.00%8362.50%024354444.67%24855944.36%17142240.52%517269489258504235
11IceHogs11000000606110000006060000000000021.00061117013035391472603303041018420394250.00%000%024354444.67%24855944.36%17142240.52%517269489258504235
12Islanders1010000026-41010000026-40000000000000.000235003035391352603303041037201334200.00%40100.00%024354444.67%24855944.36%17142240.52%517269489258504235
13Marlies211000009721010000025-31100000072520.500914230030353916526033030410391744717457.14%12375.00%024354444.67%24855944.36%17142240.52%517269489258504235
14Phantoms11000000422000000000001100000042221.0004711003035391252603303041029156233133.33%3166.67%024354444.67%24855944.36%17142240.52%517269489258504235
15Reign31200000814-620200000311-81100000053220.333811190030353911022603303041013935826810220.00%11190.91%024354444.67%24855944.36%17142240.52%517269489258504235
16Thunderbirds20101000111101010000056-11000100065120.500111930003035391802603303041068103855700.00%9188.89%024354444.67%24855944.36%17142240.52%517269489258504235
17Wild1010000045-1000000000001010000045-100.0004711003035391352603303041042141323100.00%4250.00%024354444.67%24855944.36%17142240.52%517269489258504235
Total25129012011059691275000004740713540120158562290.58010517528011303539190126033030410728232478759681623.53%892077.53%024354444.67%24855944.36%17142240.52%517269489258504235
_Since Last GM Reset25129012011059691275000004740713540120158562290.58010517528011303539190126033030410728232478759681623.53%892077.53%024354444.67%24855944.36%17142240.52%517269489258504235
_Vs Conference1988012007577-2835000002632-611530120049454200.5267512119610303539166326033030410575187383568541222.22%741678.38%024354444.67%24855944.36%17142240.52%517269489258504235
_Vs Division8570110038231551500000241410342011001495130.813386098003035391302260330304101885417627325832.00%28582.14%024354444.67%24855944.36%17142240.52%517269489258504235

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2529L110517528090172823247875911
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
25129120110596
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
127500004740
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
135412015856
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
681623.53%892077.53%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
260330304103035391
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
24354444.67%24855944.36%17142240.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
517269489258504235


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
32385Roadrunners-Marlies-
33400Senators-Roadrunners-
34419Wolves-Roadrunners-
35429Roadrunners-Condors-
36446Condors-Roadrunners-
38465Roadrunners-Rocket-
39474Roadrunners-Gulls-
40490Roadrunners-Wolf Pack-
41498Stars-Roadrunners-
42520Roadrunners-Islanders-
43530Silver Knights-Roadrunners-
44554Moose-Roadrunners-
45567Roadrunners-Reign-
46583Rocket-Roadrunners-
48602Roadrunners-Wolves-
49621Marlies-Roadrunners-
50635Roadrunners-Silver Knights-
51649Gulls-Roadrunners-
52669Wild-Roadrunners-
53682Roadrunners-Phantoms-
54697Roadrunners-Americans-
55712IceHogs-Roadrunners-
57727Roadrunners-Marlies-
58741Canucks-Roadrunners-
59762Penguins-Roadrunners-
61776Roadrunners-Crunch-
62787Roadrunners-Thunderbirds-
63800Griffins-Roadrunners-
65823Thunderbirds-Roadrunners-
66834Roadrunners-Islanders-
68858Reign-Roadrunners-
69877Roadrunners-Stars-
70887Comets-Roadrunners-
71899Roadrunners-Bruins-
73918Griffins-Roadrunners-
74936Roadrunners-IceHogs-
75946Roadrunners-Comets-
77957Thunderbirds-Roadrunners-
79980Bruins-Roadrunners-
80994Roadrunners-Eagles-
811007Roadrunners-Penguins-
821021Monsters-Roadrunners-
841039Roadrunners-Penguins-
851050Islanders-Roadrunners-
861071Admirals-Roadrunners-
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
Assistance23,17711,806
Assistance PCT96.57%98.38%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 2915 - 97.18% 86,604$1,039,252$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,336,379$ 4,082,233$ 4,082,233$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
36,449$ 1,128,802$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,684,734$ 81 43,145$ 3,494,745$




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