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Connexion

Roadrunners
GP: 59 | W: 31 | L: 19 | OTL: 9 | P: 71
GF: 246 | GA: 229 | PP%: 23.35% | PK%: 81.82%
DG: Zachlou Gauvin | Morale : 43 | Moyenne d’équipe : 65
Prochains matchs #765 vs Admirals

Centre de jeu
Roadrunners
31-19-9, 71pts
1
5 Griffins
26-26-4, 56pts
Team Stats
W1SéquenceW1
17-7-5Fiche domicile14-13-2
14-12-4Fiche domicile12-13-2
5-3-2Derniers 10 matchs3-6-1
4.17Buts par match 3.75
3.88Buts contre par match 3.93
23.35%Pourcentage en avantage numérique16.08%
81.82%Pourcentage en désavantage numérique79.62%
Icehogs
31-23-4, 66pts
3
4 Roadrunners
31-19-9, 71pts
Team Stats
L2SéquenceW1
18-9-2Fiche domicile17-7-5
13-14-2Fiche domicile14-12-4
2-8-0Derniers 10 matchs5-3-2
4.14Buts par match 4.17
4.05Buts contre par match 3.88
26.80%Pourcentage en avantage numérique23.35%
72.97%Pourcentage en désavantage numérique81.82%
Admirals
27-25-6, 60pts
Jour 122
Roadrunners
31-19-9, 71pts
Statistiques d’équipe
OTL1SéquenceW1
14-11-4Fiche domicile17-7-5
13-14-2Fiche visiteur14-12-4
2-7-110 derniers matchs5-3-2
4.31Buts par match 4.17
4.48Buts contre par match 4.17
24.41%Pourcentage en avantage numérique23.35%
77.53%Pourcentage en désavantage numérique81.82%
Roadrunners
31-19-9, 71pts
Jour 123
Admirals
27-25-6, 60pts
Statistiques d’équipe
W1SéquenceOTL1
17-7-5Fiche domicile14-11-4
14-12-4Fiche visiteur13-14-2
5-3-210 derniers matchs2-7-1
4.17Buts par match 4.31
3.88Buts contre par match 4.31
23.35%Pourcentage en avantage numérique24.41%
81.82%Pourcentage en désavantage numérique77.53%
Marlies
32-21-6, 70pts
Jour 126
Roadrunners
31-19-9, 71pts
Statistiques d’équipe
W1SéquenceW1
16-11-2Fiche domicile17-7-5
16-10-4Fiche visiteur14-12-4
7-2-110 derniers matchs5-3-2
4.69Buts par match 4.17
4.17Buts contre par match 4.17
20.56%Pourcentage en avantage numérique23.35%
79.19%Pourcentage en désavantage numérique81.82%
Meneurs d'équipe
Buts
Rem Pitlick
42
Passes
Rem Pitlick
44
Points
Rem Pitlick
86
Plus/Moins
Josiah Slavin
14
Victoires
Zachary Fucale
18
Pourcentage d’arrêts
Zachary Fucale
0.881

Statistiques d’équipe
Buts pour
246
4.17 GFG
Tirs pour
2030
34.41 Avg
Pourcentage en avantage numérique
23.3%
53 GF
Début de zone offensive
36.9%
Buts contre
229
3.88 GAA
Tirs contre
1883
31.92 Avg
Pourcentage en désavantage numérique
81.8%%
38 GA
Début de la zone défensive
36.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,785
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure19
Limite contact 49 / 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)X100.007938787673797580758272727260524049740241950,000$
2Rem Pitlick (R)X100.007229748575797184767471678158544955730232900,000$
3David KampfX100.006743876972747274737376646951553858700251900,000$
4Laurent DauphinX100.007242806968677374677469577049503258680251750,000$
5A.J. Greer (R)X100.006643717772667370696568636354483459670241400,000$
6Brett Murray (R)X100.008140717682607072556573625645464758670222500,000$
7Oliver Wahlstrom (R)X100.006537826077747070746877527142446858670203700,000$
8Anthony Angello (R)X100.005041847171787058706767626048483358650242500,000$
9Josiah Slavin (R)X100.006338776068746466736774445748484658640223500,000$
10Cooper Marody (R)X100.004840757056636567778162445248463343630241400,000$
11Benoit-Olivier Groulx (R)X100.006445776268606564666164546142425143610203500,000$
12Fabian Zetterlund (R)X100.005040756168696260595472486343434843600212500,000$
13Arsen Khisamutdinov (R)X100.005930686457666266576059547249493858600221500,000$
14Alex Beaucage (R)X100.007743586076517059526963485041416758590191500,000$
15David Gustafsson (R)X100.005538736551575858747059455342425643580201500,000$
16Rinat ValievX100.007834847676747176596964766871543930730251950,000$
17Mikko LehtonenX100.007541786860737674587374656467543442700261800,000$
18Riley Stillman (R)X100.007342737368616962516762715650464655670222500,000$
19Victor Berglund (R)X100.006931766870615556426242774145444934640213500,000$
20Cam York (R)X100.005234757545516775317749694841417159620191500,000$
21Kaedan Korczak (R)X100.005936775760675857305542704141416858600191500,000$
22Tyler Kleven (R)X100.007438575765664649315456634640406925590182500,000$
23Danil Zhuravlyov (R)X100.005627645849554860365250594844424518540201500,000$
Rayé
1Morgan KlimchukX51.887632787873787475707775777869573447740251950,000$
2Matt Kiersted (R)X100.007346747672636466576555716056474544680222500,000$
3Ty Smith (R)X100.005628747662596879437656655044435835640204500,000$
MOYENNE D’ÉQUIPE98.15663875696766666759686462605047484865
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 Fucale98.00757662737577767881776558523666740251950,000$
2Kevin Lankinen100.00727273726775647573696046464872690251900,000$
Rayé
1Zachary Sawchenko100.00665872625867735250778047494220620233500,000$
2Jacob Ingham100.00745160637254495961546142424920590201500,000$
MOYENNE D’ÉQUIPE99.5072646768686866666669674847444566
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
1Rem PitlickRoadrunners (Uta)RW594244862535105642717116315.50%24121920.6791322371870004617340.98%1225018011.4112010864
2Lucas WallmarkkRoadrunners (Uta)C44244064-816070110154438515.58%29101623.10613192114810131383051.28%15292726001.2634000272
3Morgan KlimchukRoadrunners (Uta)LW50233962032077781704311613.53%26112522.52410141716100021434142.48%1133722001.1004000424
4David KampfRoadrunners (Uta)C5919426198071861596411511.95%20108418.3841014211570005952049.23%10342414001.1200000424
5Brett MurrayRoadrunners (Uta)LW59242145-1548010645163619114.72%2387314.816612131010001171145.95%373112001.0300000331
6A.J. GreerRoadrunners (Uta)LW59202343435585621635511012.27%3089315.14671314740005873164.52%313614000.9600001013
7Laurent DauphinRoadrunners (Uta)C59192140-81605058139529113.67%1677513.144157360002403144.39%4192113001.0300000213
8Oliver WahlstromRoadrunners (Uta)RW59162036-360765588385818.18%2493115.78671312150000081150.00%361415000.7700000111
9Riley StillmanRoadrunners (Uta)D59430341135589896729305.97%54125121.20156101560002137000%02125000.5401010000
10Mikko LehtonenRoadrunners (Uta)D4571825-334077908641348.14%54119026.45257161480001143210%02038000.4200000013
11Josiah SlavinRoadrunners (Uta)LW591113241460401995326011.58%84978.4400000000001118.18%11186000.9600000040
12Matt KierstedRoadrunners (Uta)D4851722025573677016267.14%55112223.40358141540001127100%0529000.3900100001
13Arsen KhisamutdinovRoadrunners (Uta)RW591011214200484555153118.18%1464310.9100000000000013.33%15413000.6500000001
14Anthony AngelloRoadrunners (Uta)C59891762019449324448.60%185379.10000020001381150.63%2391611000.6300000002
15Ty SmithRoadrunners (Uta)D42113143220730243144.17%2448811.62123239000228000%049000.5700000020
16Victor BerglundRoadrunners (Uta)D4711011-71804651234124.35%3074915.94000171000170000%0434000.2900000000
17Cam YorkRoadrunners (Uta)D591910-415518554415102.27%3474512.64011428000038000%0821100.2700001000
18Alex BeaucageRoadrunners (Uta)RW5927931807518323166.25%84467.5600008000000055.56%956000.4000000000
19Rinat ValievRoadrunners (Uta)D28268-46037557124242.82%3572725.9711210900007114000%01225000.2200000000
20Kaedan KorczakRoadrunners (Uta)D5915681001534268173.85%255339.0300004000117000%0120000.2300000000
21Cooper MarodyRoadrunners (Uta)C44325300622551512.00%21272.9000014000000053.13%3242000.7800000000
22Tyler KlevenRoadrunners (Uta)D27022012014133220%72037.5500002000010000%003000.2000000000
23Danil ZhuravlyovRoadrunners (Uta)D1911211751340025.00%2733.850000100000000%002000.5500000000
24David GustafssonRoadrunners (Uta)LW44011000000010%0170.40000000110130045.45%1100001.1400000000
25Benoit-Olivier GroulxRoadrunners (Uta)C44000100630020%0551.2700008000040033.33%60100000000000
26Fabian ZetterlundRoadrunners (Uta)LW44000-200565340%21262.87000030002380050.00%142200000000000
Statistiques d’équipe totales ou en moyenne12932444046481545430121611822030651117112.02%5641745613.5053861392001744112401376291149.02%3658364381110.74411122243029
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)37181250.8813.811936001231031482300.50083515111
2Kevin LankinenRoadrunners (Uta)3113720.8793.7715740099815398310.66732435111
3Jacob InghamRoadrunners (Uta)10010.9053.87310022112000001000
4Zachary SawchenkoRoadrunners (Uta)10010.8673.5334002158000008000
Statistiques d’équipe totales ou en moyenne70311990.8803.79357600226188290061115959222


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$118,343$0$0$No---------------------------Lien
Alex BeaucageRoadrunners (Uta)RW192001-01-01CANYes192 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Lien
Anthony AngelloRoadrunners (Uta)C241996-01-01USAYes210 Lbs6 ft5NoNoFree AgentNoNo22024-09-07FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Lien
Arsen KhisamutdinovRoadrunners (Uta)RW221998-01-01RUSYes203 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Lien
Benoit-Olivier GroulxRoadrunners (Uta)C202000-01-01FRAYes200 Lbs6 ft2NoNoFree AgentNoNo32025-10-06FalseFalsePro & Farm500,000$147,929$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Brett MurrayRoadrunners (Uta)LW221998-01-01CANYes216 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Lien
Cam YorkRoadrunners (Uta)D192001-01-01USAYes194 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Lien
Cooper MarodyRoadrunners (Uta)C241996-01-01USAYes184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm400,000$118,343$0$0$No---------------------------Lien
Danil ZhuravlyovRoadrunners (Uta)D202000-01-01RUSYes163 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Lien
David GustafssonRoadrunners (Uta)LW202000-01-01SWEYes196 Lbs6 ft2NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Lien
David KampfRoadrunners (Uta)C251995-01-01CZENo188 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$266,272$0$0$No---------------------------Lien
Fabian ZetterlundRoadrunners (Uta)LW211999-01-01SWEYes220 Lbs5 ft11NoNoFree AgentNoNo22025-10-06FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Lien
Jacob InghamRoadrunners (Uta)G202000-01-01CANNo205 Lbs6 ft5NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Lien
Josiah SlavinRoadrunners (Uta)LW221998-01-01USAYes189 Lbs6 ft3NoNoFree AgentNoNo32025-10-06FalseFalsePro & Farm500,000$147,929$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$147,929$0$0$No---------------------------Lien
Kevin LankinenRoadrunners (Uta)G251995-01-01FINNo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$266,272$0$0$No---------------------------Lien
Laurent DauphinRoadrunners (Uta)C251995-01-01CANNo185 Lbs6 ft0NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm750,000$221,893$0$0$No---------------------------Lien
Lucas WallmarkkRoadrunners (Uta)C241996-01-01SWEYes178 Lbs6 ft0NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm950,000$281,065$0$0$No---------------------------Lien
Matt KierstedRoadrunners (Uta)D221998-01-01USAYes184 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Lien
Mikko LehtonenRoadrunners (Uta)D261994-01-01FINNo196 Lbs6 ft0NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm800,000$236,686$0$0$No---------------------------Lien
Morgan Klimchuk (sur la masse salariale)Roadrunners (Uta)LW251995-01-01CANNo185 Lbs5 ft11NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm950,000$281,065$0$0$Yes---------------------------Lien
Oliver WahlstromRoadrunners (Uta)RW202000-01-01USAYes204 Lbs6 ft2NoNoFree AgentNoNo32025-10-06FalseFalsePro & Farm700,000$207,101$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$266,272$0$0$No950,000$--------950,000$--------No--------Lien
Riley StillmanRoadrunners (Uta)D221998-01-01USAYes196 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Lien
Rinat ValievRoadrunners (Uta)D251995-01-01RUSNo185 Lbs6 ft1NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm950,000$281,065$0$0$No---------------------------Lien
Ty SmithRoadrunners (Uta)D202000-01-01CANYes180 Lbs5 ft11NoNoFree AgentNoNo42025-10-06FalseFalsePro & Farm500,000$147,929$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$147,929$0$0$No500,000$--------500,000$--------No--------
Victor BerglundRoadrunners (Uta)D211999-01-01SWEYes183 Lbs6 ft1NoNoFree AgentNoNo32024-09-07FalseFalsePro & Farm500,000$147,929$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$281,065$0$0$No---------------------------Lien
Zachary SawchenkoRoadrunners (Uta)G231997-01-01CANNo185 Lbs6 ft1NoNoFree AgentNoNo32024-09-07FalseFalsePro & Farm500,000$147,929$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3022.17194 Lbs6 ft11.67618,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1A.J. GreerLucas WallmarkkRem Pitlick40122
2Brett MurrayDavid KampfOliver Wahlstrom30122
3Josiah SlavinLaurent DauphinArsen Khisamutdinov20122
4Fabian ZetterlundAnthony AngelloAlex Beaucage10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rinat ValievMikko Lehtonen40122
2Riley StillmanVictor Berglund30122
3Cam YorkKaedan Korczak20122
4Tyler KlevenDanil Zhuravlyov10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1A.J. GreerLucas WallmarkkRem Pitlick60122
2Brett MurrayDavid KampfOliver Wahlstrom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rinat ValievMikko Lehtonen60122
2Riley StillmanVictor Berglund40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lucas WallmarkkA.J. Greer60122
2David KampfBrett Murray40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rinat ValievMikko Lehtonen60122
2Riley StillmanVictor Berglund40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lucas Wallmarkk60122Rinat ValievMikko Lehtonen60122
2David Kampf40122Riley StillmanVictor Berglund40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lucas WallmarkkA.J. Greer60122
2David KampfBrett Murray40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rinat ValievMikko Lehtonen60122
2Riley StillmanVictor Berglund40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
A.J. GreerLucas WallmarkkRem PitlickRinat ValievMikko Lehtonen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
A.J. GreerLucas WallmarkkRem PitlickRinat ValievMikko Lehtonen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Oliver Wahlstrom, A.J. Greer, Brett MurrayOliver Wahlstrom, A.J. GreerOliver Wahlstrom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kaedan Korczak, Tyler Kleven, Danil ZhuravlyovKaedan KorczakKaedan Korczak, Tyler Kleven
Tirs de pénalité
Lucas Wallmarkk, Rem Pitlick, David Kampf, Laurent Dauphin, Oliver Wahlstrom
Gardien
#1 : Zachary Fucale, #2 : Kevin Lankinen
Lignes d’attaque personnalisées en prolongation
Lucas Wallmarkk, Rem Pitlick, David Kampf, Laurent Dauphin, Oliver Wahlstrom, A.J. Greer, Brett Murray, Anthony Angello, Josiah Slavin, Cooper Marody
Lignes de défense personnalisées en prolongation
Rinat Valiev, Mikko Lehtonen, Riley Stillman, Victor Berglund, Cam York


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
1Admirals210000101073110000004221000001065141.0001016260067809387965469465834651863810440.00%30100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
2Americans31200000141312110000011921010000034-120.333142539006780938936546946583410324226712325.00%110100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
3Barracuda220000001266110000006241100000064241.0001220320067809386565469465834811428367228.57%14471.43%0652133548.84%665131950.42%47696849.17%127473412525511052520
4Bears21000100761210001007610000000000030.7507101700678093870654694658345319840400.00%4175.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
5Canucks412000101322-9311000101113-21010000029-740.5001322350067809381486546946583412649327517317.65%11463.64%0652133548.84%665131950.42%47696849.17%127473412525511052520
6Checkers21100000990110000006421010000035-220.50091625106780938836546946583449154349111.11%20100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
7Comets21100000880211000008800000000000020.500812200067809387465469465834562310434125.00%5260.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
8Condors21001000624110000004131000100021141.0006814006780938686546946583448162437900.00%120100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
9Crunch11000000532000000000001100000053221.000581300678093840654694658343092163133.33%10100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
10Eagles11000000523000000000001100000052321.0005914006780938356546946583431106183133.33%3233.33%0652133548.84%665131950.42%47696849.17%127473412525511052520
11Firebirds413000001522-720200000511-6211000001011-120.2501522370067809381316546946583413831468915320.00%23769.57%0652133548.84%665131950.42%47696849.17%127473412525511052520
12Griffins2110000068-2110000005321010000015-420.50069150067809385665469465834721920351000.00%10280.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
13Gulls2110000056-1110000003211010000024-220.50057120067809386465469465834562829492150.00%80100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
14Icehogs320000011284220000009451000000134-150.83312183000678093898654694658348925145611218.18%7271.43%0652133548.84%665131950.42%47696849.17%127473412525511052520
15Islander31000200171701000010045-1210001001312140.6671730470067809381026546946583410629246410550.00%12283.33%0652133548.84%665131950.42%47696849.17%127473412525511052520
16Little Stars30101001912-31000000145-12010100057-230.500915240067809381116546946583410423184715213.33%9188.89%0652133548.84%665131950.42%47696849.17%127473412525511052520
17Marlies11000000321000000000001100000032121.00034700678093832654694658343113825500.00%40100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
18Moose2010100078-11010000035-21000100043120.500712190067809387165469465834642412418337.50%70100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
19Penguins2020000059-41010000013-21010000046-200.0005813006780938616546946583463181441600.00%7185.71%0652133548.84%665131950.42%47696849.17%127473412525511052520
20Punishers411002001615111000000514301002001114-340.5001631470067809381336546946583412735287915320.00%140100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
21Rockets22000000166101100000064211000000102841.0001626420067809387765469465834601626478562.50%8275.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
22Senators302001001319-61000010056-120200000813-510.167132437006780938986546946583410935327011436.36%16662.50%1652133548.84%665131950.42%47696849.17%127473412525511052520
23Thunderbirds430010002091121001000105522000000104681.00020315100678093813065469465834135292210920525.00%11190.91%0652133548.84%665131950.42%47696849.17%127473412525511052520
24Wolfpack11000000725000000000001100000072521.000712190067809384265469465834251011163266.67%30100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
25Wranglers2010010068-21000010034-11010000034-110.25069150067809386965469465834623284410220.00%4175.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
Total5925190472224622917291570141112010317301012033111261260710.602246404650106780938203065469465834188356445412162275323.35%2093881.82%1652133548.84%665131950.42%47696849.17%127473412525511052520
_Since Last GM Reset5925190472224622917291570141112010317301012033111261260710.602246404650106780938203065469465834188356445412162275323.35%2093881.82%1652133548.84%665131950.42%47696849.17%127473412525511052520
_Vs Conference351290462214413861893013117762151736033116776-9440.62914424238600678093812016546946583411293262427231423423.94%1171785.47%1652133548.84%665131950.42%47696849.17%127473412525511052520
_Vs Division1344012114853-57420001028235602012012030-10150.57748831310067809384506546946583440613386251511121.57%39684.62%0652133548.84%665131950.42%47696849.17%127473412525511052520

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5971W124640465020301883564454121610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5925194722246229
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
291571411120103
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3010123311126126
Derniers 10 matchs
WLOTWOTL SOWSOL
431200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2275323.35%2093881.82%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
654694658346780938
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
652133548.84%665131950.42%47696849.17%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
127473412525511052520


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
33203Roadrunners6Admirals5WXXSommaire du match
35209Roadrunners3Firebirds7LSommaire du match
36221Roadrunners4Little Stars3WXSommaire du match
38232Comets7Roadrunners3LSommaire du match
41248Americans3Roadrunners7WSommaire du match
43259Roadrunners5Eagles2WSommaire du match
45272Roadrunners6Barracuda4WSommaire du match
46282Condors1Roadrunners4WSommaire du match
49300Griffins3Roadrunners5WSommaire du match
52319Gulls2Roadrunners3WSommaire du match
54327Roadrunners3Marlies2WSommaire du match
56343Roadrunners2Condors1WXSommaire du match
57352Islander5Roadrunners4LXSommaire du match
59365Roadrunners7Firebirds4WSommaire du match
61375Roadrunners3Wranglers4LR1Sommaire du match
62385Bears2Roadrunners4WSommaire du match
65404Roadrunners6Thunderbirds2WSommaire du match
66411Checkers4Roadrunners6WSommaire du match
68428Roadrunners3Checkers5LSommaire du match
70438Firebirds5Roadrunners3LSommaire du match
72452Roadrunners5Punishers6LXSommaire du match
73462Wranglers4Roadrunners3LXR1Sommaire du match
76474Roadrunners5Crunch3WSommaire du match
78486Roadrunners10Rockets2WR1Sommaire du match
79492Little Stars5Roadrunners4LXXSommaire du match
82514Barracuda2Roadrunners6WSommaire du match
84528Roadrunners3Senators6LSommaire du match
87541Comets1Roadrunners5WSommaire du match
89557Roadrunners4Thunderbirds2WSommaire du match
90567Bears4Roadrunners3LXSommaire du match
93583Thunderbirds1Roadrunners5WSommaire du match
95596Roadrunners4Penguins6LSommaire du match
97611Penguins3Roadrunners1LSommaire du match
99624Roadrunners3Americans4LSommaire du match
101635Rockets4Roadrunners6WR1Sommaire du match
102641Roadrunners5Senators7LSommaire du match
104659Roadrunners7Wolfpack2WSommaire du match
105668Roadrunners2Gulls4LSommaire du match
107674Thunderbirds4Roadrunners5WXSommaire du match
110695Roadrunners5Islander6LXSommaire du match
111701Canucks3Roadrunners4WSommaire du match
115721Senators6Roadrunners5LXSommaire du match
117735Roadrunners1Griffins5LSommaire du match
119749Icehogs3Roadrunners4WSommaire du match
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
Assistance53,47827,274
Assistance PCT92.20%94.05%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 2785 - 92.82% 175,039$5,076,141$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,590,589$ 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$ 1,231,373$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,925,433$ 50 13,373$ 668,650$




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