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Roadrunners
GP: 15 | W: 6 | L: 7 | OTL: 2 | P: 14
GF: 54 | GA: 65 | PP%: 28.57% | PK%: 87.27%
DG: Zachlou Gauvin | Morale : 37 | Moyenne d’équipe : 65
Prochains matchs #203 vs Admirals

Centre de jeu
Roadrunners
6-7-2, 14pts
8
6 Islander
10-6-1, 21pts
Team Stats
L1SéquenceOTL1
4-4-0Fiche domicile3-4-0
2-3-2Fiche domicile7-2-1
4-5-1Derniers 10 matchs5-4-1
3.60Buts par match 4.35
4.33Buts contre par match 3.94
28.57%Pourcentage en avantage numérique19.67%
87.27%Pourcentage en désavantage numérique78.46%
Firebirds
10-3-0, 20pts
6
2 Roadrunners
6-7-2, 14pts
Team Stats
W2SéquenceL1
6-2-0Fiche domicile4-4-0
4-1-0Fiche domicile2-3-2
7-3-0Derniers 10 matchs4-5-1
5.08Buts par match 3.60
3.62Buts contre par match 4.33
20.69%Pourcentage en avantage numérique28.57%
82.69%Pourcentage en désavantage numérique87.27%
Roadrunners
6-7-2, 14pts
Jour 33
Admirals
9-5-2, 20pts
Statistiques d’équipe
L1SéquenceW2
4-4-0Fiche domicile4-2-1
2-3-2Fiche visiteur5-3-1
4-5-110 derniers matchs6-3-1
3.60Buts par match 4.13
4.33Buts contre par match 4.13
28.57%Pourcentage en avantage numérique20.00%
87.27%Pourcentage en désavantage numérique80.70%
Roadrunners
6-7-2, 14pts
Jour 35
Firebirds
10-3-0, 20pts
Statistiques d’équipe
L1SéquenceW2
4-4-0Fiche domicile6-2-0
2-3-2Fiche visiteur4-1-0
4-5-110 derniers matchs7-3-0
3.60Buts par match 5.08
4.33Buts contre par match 5.08
28.57%Pourcentage en avantage numérique20.69%
87.27%Pourcentage en désavantage numérique82.69%
Roadrunners
6-7-2, 14pts
Jour 36
Little Stars
6-6-3, 15pts
Statistiques d’équipe
L1SéquenceL1
4-4-0Fiche domicile3-4-1
2-3-2Fiche visiteur3-2-2
4-5-110 derniers matchs4-4-2
3.60Buts par match 3.53
4.33Buts contre par match 3.53
28.57%Pourcentage en avantage numérique26.42%
87.27%Pourcentage en désavantage numérique78.26%
Meneurs d'équipe
Buts
Oliver Wahlstrom
8
Passes
Lucas Wallmarkk
11
Points
Lucas Wallmarkk
18
Plus/Moins
David Kampf
5
Victoires
Zachary Fucale
3
Pourcentage d’arrêts
Kevin Lankinen
0.889

Statistiques d’équipe
Buts pour
54
3.60 GFG
Tirs pour
503
33.53 Avg
Pourcentage en avantage numérique
28.6%
14 GF
Début de zone offensive
36.2%
Buts contre
65
4.33 GAA
Tirs contre
488
32.53 Avg
Pourcentage en désavantage numérique
87.3%%
7 GA
Début de la zone défensive
36.7%
Informations de l'équipe

Directeur généralZachlou Gauvin
EntraîneurKevin Dineen
DivisionThayer-Tutt
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,760
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 250
Espoirs0


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
1Lucas Wallmarkk (R)X100.007938787673797580758272727260524037740241950,000$
2Morgan KlimchukX100.007632787873787475707775777869573440740251950,000$
3Rem Pitlick (R)X100.007229748575797184767471678158544937730232900,000$
4David KampfX100.006743876972747274737376646951553840700251900,000$
5Laurent DauphinX100.007242806968677374677469577049503240680251750,000$
6A.J. Greer (R)X100.006643717772667370696568636354483440670241400,000$
7Brett Murray (R)X100.008140717682607072556573625645464740670222500,000$
8Oliver Wahlstrom (R)X100.006537826077747070746877527142446840670203700,000$
9Anthony Angello (R)X100.005041847171787058706767626048483340650242500,000$
10Josiah Slavin (R)X100.006338776068746466736774445748484640640223500,000$
11Cooper Marody (R)X100.004840757056636567778162445248463325630241400,000$
12Benoit-Olivier Groulx (R)X100.006445776268606564666164546142425125610203500,000$
13Fabian Zetterlund (R)X100.005040756168696260595472486343434825600212500,000$
14Arsen Khisamutdinov (R)X100.005930686457666266576059547249493840600221500,000$
15Alex Beaucage (R)X100.007743586076517059526963485041416740590191500,000$
16David Gustafsson (R)X100.005538736551575858747059455342425625580201500,000$
17Mikko LehtonenX100.007541786860737674587374656467543440700261800,000$
18Matt Kiersted (R)X100.007346747672636466576555716056474540680222500,000$
19Riley Stillman (R)X100.007342737368616962516762715650464640670222500,000$
20Ty Smith (R)X100.005628747662596879437656655044435840640204500,000$
21Victor Berglund (R)X100.006931766870615556426242774145444940640213500,000$
22Cam York (R)X100.005234757545516775317749694841417141620191500,000$
23Kaedan Korczak (R)X100.005936775760675857305542704141416840600191500,000$
24Tyler Kleven (R)X100.007438575765664649315456634640406925590182500,000$
25Danil Zhuravlyov (R)X100.005627645849554860365250594844424525540201500,000$
Rayé
MOYENNE D’ÉQUIPE100.00653874686666666759686361594947483665
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
1Zachary Fucale100.00757662737577767881776558523644740251950,000$
2Kevin Lankinen99.00727273726775647573696046464844690251900,000$
Rayé
1Zachary Sawchenko100.00665872625867735250778047494232620233500,000$
2Jacob Ingham100.00745160637254495961546142424932590201500,000$
MOYENNE D’ÉQUIPE99.7572646768686866666669674847443866
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Dineen73656679327257Can522500,000$


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
1Lucas WallmarkkRoadrunners (Uta)C1571118-880244046152615.22%1034823.222353400002471050.82%488107001.0312000021
2David KampfRoadrunners (Uta)C1551015500172240172812.50%525817.261236350003220046.00%20053001.1600000101
3Rem PitlickRoadrunners (Uta)RW157815-6175271452214413.46%629319.57224739000000133.33%33127001.0200010201
4A.J. GreerRoadrunners (Uta)LW156814280271954133411.11%826917.984487350003341175.00%894001.0400000011
5Oliver WahlstromRoadrunners (Uta)RW15841232021113061126.67%823515.68224335000000154.55%1127001.0200000110
6Morgan KlimchukRoadrunners (Uta)LW154711-812024224311279.30%734723.180221400000440028.57%28134000.6302000001
7Laurent DauphinRoadrunners (Uta)C15538-134071341152412.20%319513.06202220001222048.31%8973000.8200000000
8Mikko LehtonenRoadrunners (Uta)D15088-616021282115120%1838025.40022447000049000%0815000.4200000010
9Brett MurrayRoadrunners (Uta)LW15268-121002473014186.67%617711.82022010000700100.00%164000.9000000001
10Matt KierstedRoadrunners (Uta)D15167-420181914447.14%1928519.07022029000135000%026000.4900000000
11Riley StillmanRoadrunners (Uta)D15167-4100211914727.14%1128018.70011029000132000%044000.5001000000
12Rinat ValievMammothD15145-74018323714152.70%1838825.90112647000254000%0513000.2600000000
13Anthony AngelloRoadrunners (Uta)C15213-100312234118.70%31197.9800000000091051.02%4923000.5000000000
14Victor BerglundRoadrunners (Uta)D15033-7608153030%816511.0400000000012000%009000.3600000000
15Josiah SlavinRoadrunners (Uta)LW15213-12053224129.09%11077.1500000000000033.33%631000.5600000000
16Arsen KhisamutdinovRoadrunners (Uta)RW15213-1240710148514.29%515810.5800000000000025.00%405000.3800000000
17Ty SmithRoadrunners (Uta)D15022-220032020%0845.650000000001000%000000.4700000000
18Alex BeaucageRoadrunners (Uta)RW15022-14016311170%21127.5200002000000050.00%211000.3500000000
19Cam YorkRoadrunners (Uta)D15011-5552123210%415510.380000000004000%012000.1300001000
20Kaedan KorczakRoadrunners (Uta)D15000-220463340%4805.390000000000000%00300000000000
Statistiques d’équipe totales ou en moyenne3005392145-891181029431050317429010.54%146444714.8314233739388000133805348.31%91990101000.6515011456
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
1Zachary FucaleRoadrunners (Uta)113620.8564.575640043299130200.6005114000
2Kevin LankinenRoadrunners (Uta)83100.8893.603500021189971000411110
Statistiques d’équipe totales ou en moyenne196720.8694.2091400644882273051515110


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
A.J. GreerRoadrunners (Uta)LW241996-01-01CANYes210 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm400,000$324,260$0$0$No---------------------------Lien
Alex BeaucageRoadrunners (Uta)RW192001-01-01CANYes192 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Anthony AngelloRoadrunners (Uta)C241996-01-01USAYes210 Lbs6 ft5NoNoFree AgentNoNo22024-09-07FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------Lien
Arsen KhisamutdinovRoadrunners (Uta)RW221998-01-01RUSYes203 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Benoit-Olivier GroulxRoadrunners (Uta)C202000-01-01FRAYes200 Lbs6 ft2NoNoFree AgentNoNo32025-10-06FalseFalsePro & Farm500,000$405,325$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Brett MurrayRoadrunners (Uta)LW221998-01-01CANYes216 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------Lien
Cam YorkRoadrunners (Uta)D192001-01-01USAYes194 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Cooper MarodyRoadrunners (Uta)C241996-01-01USAYes184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm400,000$324,260$0$0$No---------------------------Lien
Danil ZhuravlyovRoadrunners (Uta)D202000-01-01RUSYes163 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
David GustafssonRoadrunners (Uta)LW202000-01-01SWEYes196 Lbs6 ft2NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
David KampfRoadrunners (Uta)C251995-01-01CZENo188 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$729,586$0$0$No---------------------------Lien
Fabian ZetterlundRoadrunners (Uta)LW211999-01-01SWEYes220 Lbs5 ft11NoNoFree AgentNoNo22025-10-06FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------Lien
Jacob InghamRoadrunners (Uta)G202000-01-01CANNo205 Lbs6 ft5NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Josiah SlavinRoadrunners (Uta)LW221998-01-01USAYes189 Lbs6 ft3NoNoFree AgentNoNo32025-10-06FalseFalsePro & Farm500,000$405,325$0$0$No600,000$700,000$-------600,000$700,000$-------NoNo-------Lien
Kaedan KorczakRoadrunners (Uta)D192001-01-01CANYes201 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Kevin LankinenRoadrunners (Uta)G251995-01-01FINNo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$729,586$0$0$No---------------------------Lien
Laurent DauphinRoadrunners (Uta)C251995-01-01CANNo185 Lbs6 ft0NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm750,000$607,988$0$0$No---------------------------Lien
Lucas WallmarkkRoadrunners (Uta)C241996-01-01SWEYes178 Lbs6 ft0NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm950,000$770,118$0$0$No---------------------------Lien
Matt KierstedRoadrunners (Uta)D221998-01-01USAYes184 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------Lien
Mikko LehtonenRoadrunners (Uta)D261994-01-01FINNo196 Lbs6 ft0NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm800,000$648,521$0$0$No---------------------------Lien
Morgan KlimchukRoadrunners (Uta)LW251995-01-01CANNo185 Lbs5 ft11NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm950,000$770,118$0$0$No---------------------------Lien
Oliver WahlstromRoadrunners (Uta)RW202000-01-01USAYes204 Lbs6 ft2NoNoFree AgentNoNo32025-10-06FalseFalsePro & Farm700,000$567,456$0$0$No800,000$900,000$-------800,000$900,000$-------NoNo-------Lien
Rem PitlickRoadrunners (Uta)RW231997-01-01USAYes196 Lbs5 ft11NoNoFree AgentNoNo22025-10-06FalseFalsePro & Farm900,000$729,586$0$0$No950,000$--------950,000$--------No--------Lien
Riley StillmanRoadrunners (Uta)D221998-01-01USAYes196 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------Lien
Ty SmithRoadrunners (Uta)D202000-01-01CANYes180 Lbs5 ft11NoNoFree AgentNoNo42025-10-06FalseFalsePro & Farm500,000$405,325$0$0$No600,000$700,000$800,000$------600,000$700,000$800,000$------NoNoNo------Lien
Tyler KlevenRoadrunners (Uta)D182002-01-01USAYes210 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Victor BerglundRoadrunners (Uta)D211999-01-01SWEYes183 Lbs6 ft1NoNoFree AgentNoNo32024-09-07FalseFalsePro & Farm500,000$405,325$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Zachary FucaleRoadrunners (Uta)G251995-01-01CANNo185 Lbs6 ft1NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm950,000$770,118$0$0$No---------------------------Lien
Zachary SawchenkoRoadrunners (Uta)G231997-01-01CANNo185 Lbs6 ft1NoNoFree AgentNoNo32024-09-07FalseFalsePro & Farm500,000$405,325$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2922.07194 Lbs6 ft11.69606,897$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Morgan KlimchukLucas WallmarkkRem Pitlick42023
2A.J. GreerDavid KampfOliver Wahlstrom32023
3Brett MurrayLaurent DauphinArsen Khisamutdinov20131
4Josiah SlavinAnthony AngelloAlex Beaucage6122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikko Lehtonen40122
2Matt KierstedRiley Stillman30131
3Cam YorkVictor Berglund20131
4Ty SmithKaedan Korczak10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Morgan KlimchukLucas WallmarkkRem Pitlick60104
2A.J. GreerDavid KampfOliver Wahlstrom40104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikko Lehtonen60113
2Matt KierstedRiley Stillman40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lucas WallmarkkMorgan Klimchuk60140
2David KampfA.J. Greer40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikko Lehtonen60140
2Matt KierstedRiley Stillman40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lucas Wallmarkk60140Mikko Lehtonen60140
2David Kampf40140Matt KierstedRiley Stillman40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lucas WallmarkkMorgan Klimchuk60113
2David KampfA.J. Greer40113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikko Lehtonen60122
2Matt KierstedRiley Stillman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Morgan KlimchukLucas WallmarkkRem PitlickMikko Lehtonen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Morgan KlimchukLucas WallmarkkRem PitlickMikko Lehtonen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Laurent Dauphin, Oliver Wahlstrom, A.J. GreerLaurent Dauphin, Oliver WahlstromLaurent Dauphin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Victor Berglund, Cam York, Kaedan KorczakVictor BerglundVictor Berglund, Cam York
Tirs de pénalité
Morgan Klimchuk, Lucas Wallmarkk, Rem Pitlick, David Kampf, Laurent Dauphin
Gardien
#1 : Zachary Fucale, #2 : Kevin Lankinen
Lignes d’attaque personnalisées en prolongation
Morgan Klimchuk, Lucas Wallmarkk, Rem Pitlick, David Kampf, Laurent Dauphin, Oliver Wahlstrom, A.J. Greer, Brett Murray, Anthony Angello, Josiah Slavin
Lignes de défense personnalisées en prolongation
, Mikko Lehtonen, Matt Kiersted, Riley Stillman, Ty Smith


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
1Admirals11000000422110000004220000000000021.000471100121921240157184156102996245360.00%30100.00%015833047.88%15733546.87%12924752.23%317183327143270130
2Americans1010000046-21010000046-20000000000000.0004610001219212211571841561036912252150.00%60100.00%015833047.88%15733546.87%12924752.23%317183327143270130
3Canucks30200010919-1020100010710-31010000029-720.3339142300121921211015718415610933628629111.11%9455.56%015833047.88%15733546.87%12924752.23%317183327143270130
4Firebirds1010000026-41010000026-40000000000000.000246001219212321571841561034616145120.00%8187.50%015833047.88%15733546.87%12924752.23%317183327143270130
5Icehogs21000001853110000005141000000134-130.750812200012192126215718415610631612399222.22%6183.33%015833047.88%15733546.87%12924752.23%317183327143270130
6Islander11000000862000000000001100000086221.00081422001219212331571841561034116174375.00%30100.00%015833047.88%15733546.87%12924752.23%317183327143270130
7Little Stars1010000014-3000000000001010000014-300.0001120012192123915718415610367615300.00%3166.67%015833047.88%15733546.87%12924752.23%317183327143270130
8Moose2010100078-11010000035-21000100043120.500712190012192127115718415610642412418337.50%70100.00%015833047.88%15733546.87%12924752.23%317183327143270130
9Punishers311001001192110000005142010010068-230.500112233001219212951571841561099282057400.00%100100.00%015833047.88%15733546.87%12924752.23%317183327143270130
Total1547011115465-11834000103031-1713011012434-10140.467549214600121921250315718415610488146118294491428.57%55787.27%015833047.88%15733546.87%12924752.23%317183327143270130
_Since Last GM Reset1547011115465-11834000103031-1713011012434-10140.467549214600121921250315718415610488146118294491428.57%55787.27%015833047.88%15733546.87%12924752.23%317183327143270130
_Vs Conference1446011115259-77330001028253713011012434-10140.500528814000121921247115718415610454140102280441329.55%47687.23%015833047.88%15733546.87%12924752.23%317183327143270130
_Vs Division1024011113541-65220001020173502011011524-9100.500356095001219212338157184156103191047219930620.00%32584.38%015833047.88%15733546.87%12924752.23%317183327143270130

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1514L1549214650348814611829400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
154711115465
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
83400103031
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
71311012434
Derniers 10 matchs
WLOTWOTL SOWSOL
351100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
491428.57%55787.27%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
157184156101219212
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
15833047.88%15733546.87%12924752.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
317183327143270130


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
18Moose5Roadrunners3LSommaire du match
428Roadrunners5Punishers6LSommaire du match
637Canucks3Roadrunners4WXXSommaire du match
856Roadrunners3Icehogs4LXXSommaire du match
963Icehogs1Roadrunners5WSommaire du match
1282Punishers1Roadrunners5WSommaire du match
1491Roadrunners2Canucks9LSommaire du match
16103Roadrunners4Moose3WXSommaire du match
18111Americans6Roadrunners4LSommaire du match
21134Canucks7Roadrunners3LSommaire du match
22142Roadrunners1Punishers2LXSommaire du match
25160Admirals2Roadrunners4WSommaire du match
26168Roadrunners1Little Stars4LSommaire du match
29182Roadrunners8Islander6WSommaire du match
31191Firebirds6Roadrunners2LSommaire du match
33203Roadrunners-Admirals-
35209Roadrunners-Firebirds-
36221Roadrunners-Little Stars-
38232Comets-Roadrunners-
41248Americans-Roadrunners-
43259Roadrunners-Eagles-
45272Roadrunners-Barracuda-
46282Condors-Roadrunners-
49300Griffins-Roadrunners-
52319Gulls-Roadrunners-
54327Roadrunners-Marlies-
56343Roadrunners-Condors-
57352Islander-Roadrunners-
59365Roadrunners-Firebirds-
61375Roadrunners-Wranglers-
62385Bears-Roadrunners-
65404Roadrunners-Thunderbirds-
66411Checkers-Roadrunners-
68428Roadrunners-Checkers-
70438Firebirds-Roadrunners-
72452Roadrunners-Punishers-
73462Wranglers-Roadrunners-
76474Roadrunners-Crunch-
78486Roadrunners-Rockets-
79492Little Stars-Roadrunners-
82514Barracuda-Roadrunners-
84528Roadrunners-Senators-
87541Comets-Roadrunners-
89557Roadrunners-Thunderbirds-
90567Bears-Roadrunners-
93583Thunderbirds-Roadrunners-
95596Roadrunners-Penguins-
97611Penguins-Roadrunners-
99624Roadrunners-Americans-
101635Rockets-Roadrunners-
102641Roadrunners-Senators-
104659Roadrunners-Wolfpack-
105668Roadrunners-Gulls-
107674Thunderbirds-Roadrunners-
110695Roadrunners-Islander-
111701Canucks-Roadrunners-
115721Senators-Roadrunners-
117735Roadrunners-Griffins-
119749Icehogs-Roadrunners-
122765Admirals-Roadrunners-
123776Roadrunners-Admirals-
126794Marlies-Roadrunners-
129810Roadrunners-Condors-
131821Moose-Roadrunners-
133837Roadrunners-Bears-
135847Moose-Roadrunners-
136857Roadrunners-Canucks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
139873Punishers-Roadrunners-
141889Roadrunners-Comets-
143899Crunch-Roadrunners-
147917Roadrunners-Icehogs-
148929Icehogs-Roadrunners-
150941Roadrunners-Icehogs-
152952Roadrunners-Canucks-
153958Wolfpack-Roadrunners-
157980Eagles-Roadrunners-
1601000Punishers-Roadrunners-
1621010Roadrunners-Moose-
1651027Crunch-Roadrunners-
1661036Roadrunners-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance14,4927,585
Assistance PCT90.58%94.81%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2760 - 91.99% 172,967$1,383,733$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
445,358$ 1,760,000$ 1,760,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,414$ 350,670$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,534,932$ 137 13,373$ 1,832,101$




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