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Roadrunners
GP: 5 | W: 1 | L: 4
GF: 15 | GA: 21 | PP%: 16.67% | PK%: 85.71%
DG: Cody Friesen | Morale : 58 | Moyenne d’équipe : 59

Centre de jeu
Thunderbirds
4-1-0, 8pts
2
5 Roadrunners
1-4-0, 2pts
Team Stats
W1SéquenceL1
3-0-0Fiche domicile1-1-0
1-1-0Fiche domicile0-3-0
4-1-0Derniers 10 matchs1-4-0
4.20Buts par match 3.00
3.00Buts contre par match 4.20
14.29%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique85.71%
Roadrunners
1-4-0, 2pts
4
6 Thunderbirds
4-1-0, 8pts
Team Stats
L1SéquenceW1
1-1-0Fiche domicile3-0-0
0-3-0Fiche domicile1-1-0
1-4-0Derniers 10 matchs4-1-0
3.00Buts par match 4.20
4.20Buts contre par match 3.00
16.67%Pourcentage en avantage numérique14.29%
85.71%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Filip Bystedt
3
Passes
Filip Bystedt
3
Points
Filip Bystedt
6
Plus/Moins
Filip Bystedt
1
Victoires
Sebastian Cossa
1
Pourcentage d’arrêts
Sebastian Cossa
0.899

Statistiques d’équipe
Buts pour
15
3.00 GFG
Tirs pour
140
28.00 Avg
Pourcentage en avantage numérique
16.7%
3 GF
Début de zone offensive
34.9%
Buts contre
21
4.20 GAA
Tirs contre
207
41.40 Avg
Pourcentage en désavantage numérique
85.7%%
2 GA
Début de la zone défensive
38.5%
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
Assistance3,000
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
1Ryan ReavesXX100.0094677772815060642559586425869259796403912,136,000$
2Ty Mueller (R)X100.0074678870697781637663616254474760846302331,331,000$
3Samuel Helenius (R)X100.0097888575845287626561625825515160856302331,340,000$
4Nick AbruzzeseX100.0076669568668187647662636255474760826302712,170,000$
5Emil BemstromXXX100.0074439971705179665661585925676858776202731,087,000$
6Filip Bystedt (R)X100.0082798569826465627660616556474760806202231,341,000$
7Owen SillingerX100.007365896765636364786365625847476083610281860,000$
8Danila Klimovich (A)X100.0077757368777680605050656262474761786102331,347,000$
9Luke PhilpX100.0073669166667073597559556153474759796003012,214,000$
10Jakub DemekX100.0083779764775554617661566853444463716002331,197,000$
11Arshdeep Bains (R)X100.0079439978685778655651595925484858806002512,170,000$
12Spencer SmallmanX100.0076728066727478605059566253474759816002911,045,000$
13Caedan BankierX100.0075728567737884557049566254454560325902331,281,000$
14Kevin KorchinskiX100.005840867272718768255051682558585579640222918,333$
15Robbie RussoX100.0078718566718087582557486339474753796303311,078,000$
16Ryan Ufko (R)X100.0073649470668189532548426041474754766102331,298,000$
17Calle RosenX100.0075698866697378572550506347464756686103211,500,000$
18Ronnie AttardX100.0075776864777481502540425941474750745902731,188,000$
19Brogan Rafferty (A)X100.0079748865746468532547466243474752605903112,177,000$
Rayé
1Anthony AngelloX100.0083848065845860546847566653444459205703011,068,000$
2Tyler MaddenX100.0071639166635555597459546151444460205702621,141,000$
3Xavier ParentX100.0064607266605453627857625959444461205702521,024,000$
4Chaz LuciusX100.0076709163705050536652506248444456205502311,325,000$
5Olivier Nadeau (R)X100.0075767280763632555062446242444455205502331,286,000$
6Carson Golder (R)X100.0076718761713734495049446142444452205102331,041,000$
7Bryce Montgomery (R)X100.0080817780815053412528396137444449195702331,288,000$
8Harrison Brunicke (R)X100.0075767261765152492543396137444451195502031,277,000$
9Chase Pietila (R)X100.0078699980693331412528396037444449205302231,263,000$
MOYENNE D’ÉQUIPE100.00776985697261675751535362444949575759
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)100.00605366946259586460613045455978610232863,333$
2Vyacheslav Buteyets (R)100.004540507846884448908145464658816002431,950,000$
Rayé
1Yaniv Perets (R)100.004650636845894449898145454461486002631,250,000$
2Ben Gaudreau (R)100.004440506745894549908145444460225802311,000,000$
MOYENNE D’ÉQUIPE100.0049465777508148538276414545605760
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
1Filip BystedtRoadrunners (ARZ)C53361205491533.33%45611.23112213000000054.84%3120002.1400000001
2Ty MuellerRoadrunners (ARZ)C5134-500111964616.67%510921.851122140000150046.67%3002000.7300000000
3Emil BemstromRoadrunners (ARZ)C/LW/RW5224-30054104520.00%48016.1400001000140038.74%11143000.9900000010
4Kevin KorchinskiRoadrunners (ARZ)D5224-4201018125416.67%1815130.22011018000114000%026000.5300000001
5Nick AbruzzeseRoadrunners (ARZ)C5134-300146134137.69%312424.83011016000070046.67%1574000.6400000100
6Ryan ReavesRoadrunners (ARZ)LW/RW5134-2205620335.00%28717.59011416000000016.67%612000.9100000000
7Robbie RussoRoadrunners (ARZ)D5224-29551162233.33%1313927.8410111300008000%025000.5700010000
8Ronnie AttardRoadrunners (ARZ)D5022-4141014127230%712324.61011017000010000%004000.3300020000
9Owen SillingerRoadrunners (ARZ)C51120008683712.50%45210.5600000000000047.06%1711000.7600000000
10Spencer SmallmanRoadrunners (ARZ)RW5022055665250%46312.640000000007000%203000.6300100000
11Samuel HeleniusRoadrunners (ARZ)C5101-400814191275.26%510621.350001160000141044.19%8653000.1900000000
12Luke PhilpRoadrunners (ARZ)C501103610033140%1397.8900000000030050.00%201000.5100101000
13Danila KlimovichRoadrunners (ARZ)RW5101-4115145142147.14%18717.50000213000000050.00%211000.2300001001
14Ryan UfkoRoadrunners (ARZ)D5000-6204151130%1013126.30000012000016000%01400000000000
15Calle RosenRoadrunners (ARZ)D5000000010000%0346.850000100003000%00000000000000
16Caedan BankierRoadrunners (ARZ)C5000000110000%040.94000000000000100.00%10000000000000
17Jakub DemekRoadrunners (ARZ)C5000000000000%000.030000000000000%00000000000000
18Arshdeep BainsRoadrunners (ARZ)LW5000000737470%26012.000000000000000%11100000000000
19Brogan RaffertyRoadrunners (ARZ)D5000100100000%0214.290000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne95152439-358335118134140508810.71%83147315.513691215600021061043.09%3042740000.5300232113
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
1Sebastian CossaRoadrunners (ARZ)51400.8994.203000021207129100050000
Statistiques d’équipe totales ou en moyenne51400.8994.20300002120712910050000


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$152,571$0$0$No---------------------------Lien / Lien NHL
Arshdeep BainsRoadrunners (ARZ)LW252001-01-09CANYes184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,170,000$310,000$0$0$No---------------------------Lien
Ben GaudreauRoadrunners (ARZ)G232003-01-11CANYes174 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$142,857$0$0$No---------------------------Lien
Brogan RaffertyRoadrunners (ARZ)D311995-05-28USANo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm2,177,000$311,000$0$0$No---------------------------Lien
Bryce MontgomeryRoadrunners (ARZ)D232002-11-12USAYes216 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,288,000$184,000$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$183,000$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$214,286$0$0$No---------------------------Lien / Lien NHL
Carson GolderRoadrunners (ARZ)RW232002-10-29BCYes196 Lbs6 ft0NoNoAssign ManuallyNoNo32025-10-17FalseFalsePro & Farm1,041,000$148,714$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$180,429$0$0$No1,263,000$1,263,000$-------1,263,000$1,263,000$-------NoNo-------Lien
Chaz LuciusRoadrunners (ARZ)C232003-05-02USANo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,325,000$189,286$0$0$No---------------------------Lien
Danila KlimovichRoadrunners (ARZ)RW232003-01-09BLRNo202 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,347,000$192,429$0$0$No1,347,000$1,347,000$-------1,347,000$1,347,000$-------NoNo-------Lien
Emil BemstromRoadrunners (ARZ)C/LW/RW271999-06-01SWENo190 Lbs6 ft0NoNoAssign ManuallyNoNo32025-12-08FalseFalsePro & Farm1,087,000$155,286$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$191,571$0$0$No1,341,000$1,341,000$-------1,341,000$1,341,000$-------NoNo-------Lien
Harrison BrunickeRoadrunners (ARZ)D202006-05-08RSAYes203 Lbs6 ft3NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$182,429$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Jakub DemekRoadrunners (ARZ)C232003-06-06SVKNo203 Lbs6 ft4NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,197,000$171,000$0$0$No1,197,000$1,197,000$-------1,197,000$1,197,000$-------NoNo-------Lien
Kevin KorchinskiRoadrunners (ARZ)D222004-06-21CANNo185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm918,333$131,190$0$0$No918,333$--------918,333$--------No--------Lien
Luke PhilpRoadrunners (ARZ)C301995-11-06CANNo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm2,214,000$316,286$0$0$No---------------------------Lien
Nick AbruzzeseRoadrunners (ARZ)C271999-06-04USANo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm2,170,000$310,000$0$0$No---------------------------Lien
Olivier NadeauRoadrunners (ARZ)RW232003-01-15QCYes205 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$183,714$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$122,857$0$0$No---------------------------Lien
Robbie RussoRoadrunners (ARZ)D331993-02-15USANo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,078,000$154,000$0$0$No---------------------------Lien / Lien NHL
Ronnie AttardRoadrunners (ARZ)D271999-03-20USANo207 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,188,000$169,714$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$305,143$0$0$No---------------------------Lien / Lien NHL
Ryan UfkoRoadrunners (ARZ)D232003-05-07USAYes174 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,298,000$185,429$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$191,429$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$123,333$0$0$No863,333$--------863,333$--------No--------Lien
Spencer SmallmanRoadrunners (ARZ)RW291996-09-09CANNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,045,000$149,286$0$0$No---------------------------Lien
Ty MuellerRoadrunners (ARZ)C232003-02-26CANYes185 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,331,000$190,143$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$163,000$0$0$No1,141,000$--------1,141,000$--------No--------Lien
Vyacheslav ButeyetsRoadrunners (ARZ)G242002-05-29RUSYes185 Lbs6 ft4NoNoProspectNoNo32025-12-08FalseFalsePro & Farm1,950,000$278,571$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$146,286$0$0$No1,024,000$--------1,024,000$--------No--------Lien
Yaniv PeretsRoadrunners (ARZ)G262000-03-04CANYes181 Lbs6 ft1NoNoFree AgentNoNo32025-12-09FalseFalsePro & Farm1,250,000$178,571$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
3225.66194 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 RussoKevin Korchinski10122
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 Sillinger40122Ryan UfkoRonnie 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 KorchinskiRyan Ufko40122
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
1Thunderbirds514000001521-62110000076130300000815-720.2001524390045601404546490207838311818316.67%14285.71%04010637.74%5311745.30%388146.91%8942116509445
Total514000001521-62110000076130300000815-720.2001524390045601404546490207838311818316.67%14285.71%04010637.74%5311745.30%388146.91%8942116509445
_Since Last GM Reset514000001521-62110000076130300000815-720.2001524390045601404546490207838311818316.67%14285.71%04010637.74%5311745.30%388146.91%8942116509445
_Vs Conference514000001521-62110000076130300000815-720.2001524390045601404546490207838311818316.67%14285.71%04010637.74%5311745.30%388146.91%8942116509445

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L1152439140207838311800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001521
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000076
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000815
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18316.67%14285.71%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
45464904560
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
4010637.74%5311745.30%388146.91%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
8942116509445


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
27Roadrunners1Thunderbirds5LSommaire du match
415Roadrunners3Thunderbirds4LSommaire du match
623Thunderbirds4Roadrunners2LSommaire du match
831Thunderbirds2Roadrunners5WSommaire du match
1039Roadrunners4Thunderbirds6LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2510
Assistance4,0002,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 3000 - 100.00% 89,400$178,800$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 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
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 2 0$ 0$




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