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Connexion

Roadrunners
GP: 82 | W: 14 | L: 66 | OTL: 2 | P: 30
GF: 200 | GA: 485 | PP%: 14.41% | PK%: 69.72%
DG: Jimmy | Morale : 50 | Moyenne d’équipe : 62

Centre de jeu
Barracuda
50-27-5, 105pts
6
FINAL
1 Roadrunners
14-66-2, 30pts
Team Stats
L1SéquenceL2
26-12-3Fiche domicile7-33-1
24-15-2Fiche domicile7-33-1
5-4-1Derniers 10 matchs1-8-1
3.96Buts par match 2.44
2.16Buts contre par match 5.91
12.83%Pourcentage en avantage numérique14.41%
85.33%Pourcentage en désavantage numérique69.72%
Roadrunners
14-66-2, 30pts
2
FINAL
8 Canucks
60-17-5, 125pts
Team Stats
L2SéquenceOTW1
7-33-1Fiche domicile31-6-4
7-33-1Fiche domicile29-11-1
1-8-1Derniers 10 matchs10-0-0
2.44Buts par match 4.44
5.91Buts contre par match 2.01
14.41%Pourcentage en avantage numérique17.85%
69.72%Pourcentage en désavantage numérique87.18%
Meneurs d'équipe
Buts
Ruslan Iskhakov
44
Passes
Lukas Rousek
42
Points
Ruslan Iskhakov
85
Plus/Moins
Lukas Rousek
-1

Statistiques d’équipe
Buts pour
200
2.44 GFG
Tirs pour
1805
22.01 Avg
Pourcentage en avantage numérique
14.4%
50 GF
Début de zone offensive
35.4%
Buts contre
485
5.91 GAA
Tirs contre
2778
33.88 Avg
Pourcentage en désavantage numérique
69.7%%
86 GA
Début de la zone défensive
38.1%
Informations de l'équipe

Directeur généralJimmy
EntraîneurJeff Halpern
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,936
Billets de saison0


Informations de la formation

Équipe Pro10
Équipe Mineure21
Limite contact 31 / 51
Espoirs27


Historique d'équipe

Saison actuelle14-66-2 (30PTS)
Historique14-66-1 (0.173%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
Coupe Stanley0


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
1Elmer Soderblom (R)XX100.008247926893658163347268642548487150650241925,000$
2Ruslan IskhakovX100.006353876453818663796162585944446450610251925,000$
3Lukas RousekX100.007572826972818757506247634544446050600262830,000$
4Denton Mateychuk (R)X100.006742867367758965255450812548486450670213886,666$
5Robert BortuzzoX100.007799657181554458255047772574775850650371850,000$
6Kevin GravelX100.008078856878768351254341683959605750640341775,000$
7Kevin ConnautonX100.007175616575667149253943594144455250570361775,000$
8Peter DiLiberatoreX100.007368846368393843252843584144444950520262925,000$
Rayé
MOYENNE D’ÉQUIPE100.00746780687367725636515066385151595061
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
1Leevi Merilainen (R)100.00686058767661736876687545457150660231820,000$
2Keith Petruzzelli100.0044405083458945499081454444605061N0273775,000$
Rayé
MOYENNE D’ÉQUIPE100.0056505480617559598375604545665064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Halpern72697865726778USA483600,000$


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
1Ruslan IskhakovRoadrunners (UTA)C82444185-9360702422937018415.02%36134316.381568450000212065.12%123000021.2712000553
2Lukas RousekRoadrunners (UTA)RW82344276-15951401542406414414.17%40114814.012469400000203050.65%7700001.3212001554
3Kevin ConnautonRoadrunners (UTA)D82363268-53199152911031724910820.93%132145617.7619625881980001104220%000020.9311012632
4Peter DiLiberatoreRoadrunners (UTA)D82141529-70139152207983367416.87%152102512.51101132900000000%000000.5701210134
5Kevin GravelRoadrunners (UTA)D51101828-497951808592386610.87%85108121.219615711640000106010%000000.5200010112
6Robert BortuzzoRoadrunners (UTA)D3071320-177351005348103814.58%3256918.984263867000053020%000000.7000000011
Statistiques d’équipe totales ou en moyenne409145161306-19958545100171692826761415.63%477662516.2036235922754500013057564.27%130700040.9236233181816
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


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
Denton MateychukRoadrunners (UTA)D212004-07-12CANYes185 Lbs5 ft11NoNoProspectNoNo32025-08-27FalseFalsePro & Farm886,666$0$0$No886,666$886,666$-------886,666$886,666$-------NoNo-------Lien
Elmer SoderblomRoadrunners (UTA)C/LW242001-07-05SWEYes246 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Keith PetruzzelliRoadrunners (UTA)G271999-02-09USANo190 Lbs6 ft6YesNoFree AgentNoYes32025-08-27FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------YesYes-------Lien
Kevin ConnautonRoadrunners (UTA)D361990-02-23CANNo200 Lbs6 ft2NoNoFree AgentNoYes12025-08-19FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Kevin GravelRoadrunners (UTA)D341992-03-06USANo205 Lbs6 ft4NoNoFree AgentNoYes12025-08-19FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Leevi MerilainenRoadrunners (UTA)G232002-08-13FINYes186 Lbs6 ft3NoNoAssign ManuallyNoNo1FalseFalsePro & Farm820,000$0$0$No---------------------------Lien
Lukas RousekRoadrunners (UTA)RW261999-04-20CZENo202 Lbs5 ft11NoNoAssign ManuallyNoYes22024-07-07FalseFalsePro & Farm830,000$0$0$No830,000$--------830,000$--------No--------Lien
Peter DiLiberatoreRoadrunners (UTA)D262000-03-31NSNo185 Lbs6 ft0NoNoAssign ManuallyNoYes22024-07-07FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Robert BortuzzoRoadrunners (UTA)D371989-03-18CANNo206 Lbs6 ft4NoNoFree Agent2024-02-11NoYes12024-08-11FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Ruslan IskhakovRoadrunners (UTA)C252000-07-22RUSNo152 Lbs5 ft7NoNoAssign ManuallyNoYes12024-03-29FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1027.90196 Lbs6 ft21.60848,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Ruslan IskhakovLukas Rousek30122
320122
4Ruslan Iskhakov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Kevin Connauton30122
3Peter DiLiberatore20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Ruslan IskhakovLukas Rousek40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Kevin Connauton40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Ruslan IskhakovLukas Rousek40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Kevin Connauton40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Kevin Connauton40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Ruslan IskhakovLukas Rousek40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Kevin Connauton40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Lukas Rousek, Ruslan Iskhakov, Lukas RousekRuslan Iskhakov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Peter DiLiberatore, Kevin Connauton, Peter DiLiberatoreKevin Connauton,
Tirs de pénalité
, , Ruslan Iskhakov, Lukas Rousek,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , Ruslan Iskhakov, Lukas Rousek, , , , , ,
Lignes de défense personnalisées en prolongation
, , Kevin Connauton, , Peter DiLiberatore


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
1 Americans20200000415-111010000028-61010000027-500.00047110066785342660258760024581716359222.22%7357.14%0683189736.00%682204533.35%531141937.42%156610922442570924410
2Admirals20200000613-71010000036-31010000037-400.0006111700667853466602587600247923850600.00%4175.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
3Barracuda40400000524-1920200000314-1120200000210-800.0005914006678534596025876002410829675820420.00%24770.83%0683189736.00%682204533.35%531141937.42%156610922442570924410
4Bears2010001079-2100000104311010000036-320.500781500667853475602587600247923652400.00%3166.67%0683189736.00%682204533.35%531141937.42%156610922442570924410
5Bruins20200000217-151010000029-71010000008-800.000235006678534266025876002484248221119.09%4325.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
6Canucks20200000313-101010000015-41010000028-600.0003580066785342660258760024832716305120.00%8450.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
7Checkers20200000613-71010000057-21010000016-500.000610160066785344260258760024672226277228.57%11372.73%0683189736.00%682204533.35%531141937.42%156610922442570924410
8Comets20200000310-71010000026-41010000014-300.000358006678534596025876002468251254600.00%50100.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
9Condors514000001330-1731200000918-920200000412-820.2001321340066785341206025876002414238258621314.29%10370.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
10Crunch20200000512-71010000017-61010000045-100.000571200667853424602587600247516263110330.00%13653.85%0683189736.00%682204533.35%531141937.42%156610922442570924410
11Eagles909000001458-4450500000630-2440400000828-2000.00014243800667853415160258760024275688513747510.64%37975.68%0683189736.00%682204533.35%531141937.42%156610922442570924410
12Firebirds220000001174110000006331100000054141.000111829006678534886025876002484201049100.00%40100.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
13Griffins2020000039-61010000002-21010000037-400.0003580066785342760258760024531912271317.69%5340.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
14Gulls54001000301515220000001468320010001697101.0003054840066785342376025876002413044221277342.86%10280.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
15Ice Hogs210000101468100000106511100000081741.0001421350066785341066025876002454510582150.00%5180.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
16Islanders2020000059-41010000035-21010000024-200.0005914006678534776025876002498381239100.00%5180.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
17Marlies20200000112-111010000017-61010000005-500.0001230066785342360258760024751920181600.00%9277.78%0683189736.00%682204533.35%531141937.42%156610922442570924410
18Monsters21100000510-51010000018-71100000042220.5005101500667853426602587600246023203216318.75%10280.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
19Moose20200000613-71010000027-51010000046-200.000691500667853431602587600246822193111327.27%5340.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
20Penguins20200000313-101010000027-51010000016-500.0003690066785344560258760024108208248112.50%5260.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
21Phantoms20200000113-121010000014-31010000009-900.000112006678534186025876002482243622600.00%7271.43%0683189736.00%682204533.35%531141937.42%156610922442570924410
22Reign40400000527-2220200000215-1320200000312-900.0005813006678534646025876002413430416728310.71%14564.29%0683189736.00%682204533.35%531141937.42%156610922442570924410
23Rocket20200000316-131010000028-61010000018-700.00035800667853423602587600246918302410110.00%12375.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
24Senators20200000513-81010000046-21010000017-600.000591400667853432602587600245212223612216.67%11281.82%0683189736.00%682204533.35%531141937.42%156610922442570924410
25Silver Knights20200000212-101010000026-41010000006-600.000235006678534306025876002451178161317.69%4175.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
26Stars201001001016-61000010078-11010000038-510.2501018280066785344860258760024942910407114.29%5180.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
27Thunderbirds220000001394110000007521100000064241.000132336006678534806025876002461187458562.50%10100.00%0683189736.00%682204533.35%531141937.42%156610922442570924410
28Wild20100100312-91010000019-81000010023-110.25034700667853433602587600246526122911218.18%6266.67%0683189736.00%682204533.35%531141937.42%156610922442570924410
29Wolf Pack20200000216-141010000019-81010000017-600.00024600667853432602587600247419143210110.00%6516.67%0683189736.00%682204533.35%531141937.42%156610922442570924410
30Wolves30300000616-101010000026-420200000410-600.00069150066785344860258760024922926499111.11%12283.33%1683189736.00%682204533.35%531141937.42%156610922442570924410
31Wranglers40400000427-2320200000211-920200000216-1400.000471100667853463602587600241564557521200.00%22768.18%0683189736.00%682204533.35%531141937.42%156610922442570924410
Total82116601220200485-2854153300120104250-146416330110096235-139300.183200335535006678534180560258760024277878969113993475014.41%2848669.72%1683189736.00%682204533.35%531141937.42%156610922442570924410
_Since Last GM Reset82116601220200485-2854153300120104250-146416330110096235-139300.183200335535006678534180560258760024277878969113993475014.41%2848669.72%1683189736.00%682204533.35%531141937.42%156610922442570924410
_Vs Conference49103501210140284-144255180011072151-79245170110068133-65260.26514023737700667853412026025876002415594313978802033316.26%1584571.52%0683189736.00%682204533.35%531141937.42%156610922442570924410

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8230L220033553518052778789691139900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8211661220200485
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
415330120104250
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41633110096235
Derniers 10 matchs
WLOTWOTL SOWSOL
180100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3475014.41%2848669.72%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
602587600246678534
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
683189736.00%682204533.35%531141937.42%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
156610922442570924410


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
215Eagles7Roadrunners0LSommaire du match
425Roadrunners3Eagles4LSommaire du match
638Eagles2Roadrunners1LSommaire du match
861Roadrunners2Wolves4LSommaire du match
963Roadrunners3Eagles6LSommaire du match
1074Roadrunners5Gulls4WXSommaire du match
1396Condors6Roadrunners2LSommaire du match
17122Eagles5Roadrunners2LSommaire du match
19132Roadrunners3Condors8LSommaire du match
21148Roadrunners0Barracuda3LSommaire du match
22158Wranglers8Roadrunners1LSommaire du match
25175Roadrunners1Wranglers5LSommaire du match
27189Condors5Roadrunners6WSommaire du match
29209Barracuda8Roadrunners2LSommaire du match
32229Roadrunners6Gulls2WSommaire du match
35247Roadrunners2Reign5LSommaire du match
36256Gulls4Roadrunners7WSommaire du match
39273Roadrunners1Rocket8LSommaire du match
40286Senators6Roadrunners4LSommaire du match
43308Roadrunners2Wolves6LSommaire du match
44319Firebirds3Roadrunners6WSommaire du match
47339Wranglers3Roadrunners1LSommaire du match
49356Roadrunners0Eagles8LSommaire du match
51367Roadrunners1Checkers6LSommaire du match
53378Ice Hogs5Roadrunners6WXXSommaire du match
55394Roadrunners2 Americans7LSommaire du match
57411 Americans8Roadrunners2LSommaire du match
59427Roadrunners2Wild3LXSommaire du match
61441Crunch7Roadrunners1LSommaire du match
63457Roadrunners1Wranglers11LSommaire du match
65471Reign7Roadrunners1LSommaire du match
68495Roadrunners0Marlies5LSommaire du match
70506Wild9Roadrunners1LSommaire du match
72526Roadrunners2Barracuda7LSommaire du match
74537Bears3Roadrunners4WXXSommaire du match
77560Silver Knights6Roadrunners2LSommaire du match
79568Roadrunners6Thunderbirds4WSommaire du match
82596Monsters8Roadrunners1LSommaire du match
84609Roadrunners4Crunch5LSommaire du match
86624Checkers7Roadrunners5LSommaire du match
90652Phantoms4Roadrunners1LSommaire du match
92672Roadrunners1Wolf Pack7LSommaire du match
93682Admirals6Roadrunners3LSommaire du match
96701Roadrunners4Monsters2WSommaire du match
98711Roadrunners3Griffins7LSommaire du match
99724Gulls2Roadrunners7WSommaire du match
102747Canucks5Roadrunners1LSommaire du match
104764Roadrunners1Condors4LSommaire du match
106774Roadrunners4Moose6LSommaire du match
108788Reign8Roadrunners1LSommaire du match
110799Roadrunners1Reign7LSommaire du match
112816Moose7Roadrunners2LSommaire du match
115836Roadrunners3Bears6LSommaire du match
117851Roadrunners2Islanders4LSommaire du match
118859Rocket8Roadrunners2LSommaire du match
122880Wolf Pack9Roadrunners1LSommaire du match
123896Roadrunners1Comets4LSommaire du match
125912Condors7Roadrunners1LSommaire du match
128925Roadrunners8Ice Hogs1WSommaire du match
130940Roadrunners1Penguins6LSommaire du match
132953Islanders5Roadrunners3LSommaire du match
133961Roadrunners0Silver Knights6LSommaire du match
135984Thunderbirds5Roadrunners7WSommaire du match
1391006Roadrunners0Bruins8LSommaire du match
1401017Marlies7Roadrunners1LSommaire du match
1431036Roadrunners1Senators7LSommaire du match
1451047Penguins7Roadrunners2LSommaire du match
1471062Roadrunners5Firebirds4WSommaire du match
1491072Roadrunners3Admirals7LSommaire du match
1501086Bruins9Roadrunners2LSommaire du match
1521104Roadrunners0Phantoms9LSommaire du match
1541116Eagles9Roadrunners1LSommaire du match
1571134Roadrunners2Eagles10LSommaire du match
1591149Eagles7Roadrunners2LSommaire du match
1611164Roadrunners3Stars8LSommaire du match
1631182Comets6Roadrunners2LSommaire du match
1661201Roadrunners5Gulls3WSommaire du match
1681214Griffins2Roadrunners0LSommaire du match
1711240Wolves6Roadrunners2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1741264Stars8Roadrunners7LXSommaire du match
1771287Barracuda6Roadrunners1LSommaire du match
1781291Roadrunners2Canucks8LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance81,53538,838
Assistance PCT99.43%94.73%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2936 - 97.86% 69,603$2,853,725$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,412,258$ 848,667$ 848,667$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
4,612$ 812,234$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 7,873$ 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
1Ruslan Iskhakov82444185-9367024229315.02%36134316.38156800002065.12%21.2712
2Lukas Rousek82344276-15914015424014.17%40114814.01246900003050.65%01.3212
3Kevin Connauton82363268-5319929110317220.93%132145617.7619625880001220%20.9311
4Peter DiLiberatore82141529-70139220798316.87%152102512.51101130000000%00.5701
5Kevin Gravel51101828-4979180859210.87%85108121.219615710000010%00.5200

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
Saison régulière
202582116601220200485-2854153300120104250-146416330110096235-13930200335535006678534180560258760024277878969113993475014.41%2848669.72%1683189736.00%682204533.35%531141937.42%156610922442570924410
Total Saison régulière82116601220200485-2854153300120104250-146416330110096235-13930200335535006678534180560258760024277878969113993475014.41%2848669.72%1683189736.00%682204533.35%531141937.42%156610922442570924410
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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