Roadrunners

GP: 68 | W: 26 | L: 37 | OTL: 5 | P: 57
GF: 174 | GA: 216 | PP%: 13.14% | PK%: 82.30%
DG: Richard Boivin | Morale : 37 | Moyenne d'Équipe : 58
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 SP
1Marcus KrugerX100.00735573827974807484646171557474151680
2Carter CamperX100.00605565686360755550555555557368152570
3Shawn Ouellette-St. Amant (R)X100.00765565657466655550555555555050187570
4Cameron Hughes (R)X100.00685578556454545550555555557473153550
5Axel Holmstrom (R)X100.00565555555859595550555555557372152550
6Milan MichalekX100.00555555555555555550555555557374143540
7Ryan WhiteX100.00565555555555555550555555556667144540
8Matt BartkowskiX100.00765570758673736925626069558379131680
9Nikita NesterovX100.00555555605555555525555555557674158560
10Tyson StrachanX100.00555555605555745525555555556465152560
11Luke WitkowskiX100.00555555605555585525555555555353138540
Rayé
MOYENNE D'ÉQUIPE100.0062556263646064584456565855696815158
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 SP
1Brad Thiessen100.0073686166737382737371557068123690
Rayé
1Dylan Ferguson (R)100.0050506373405250514055555055119510
MOYENNE D'ÉQUIPE100.006259627057636662576355606212160
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Quenneville86787788957652CAN5954,000,000$


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'ÉquipePOS GP 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
1Marcus KrugerRoadrunners (PHX)C6839387757551463082749224414.23%49154722.751213257829821372047466.34%163700041.0012001663
2Carter CamperRoadrunners (PHX)C65152944-12441073128170501358.82%13116117.8741014281860000942254.85%93900000.7612101234
3Tyson StrachanRoadrunners (PHX)D68113344-10108101457875216114.67%81139120.4671118482200220146200.00%000000.6300011042
4Axel HolmstromRoadrunners (PHX)LW68142842-114157281143471379.79%18134019.718917442850003892253.00%10000010.6300001320
5Milan MichalekRoadrunners (PHX)LW68112233-103957080127391058.66%15106815.72167341980001923050.44%11300000.6200010321
6Teddy PurcellPhoenix CoyotesRW41151833-935575781493410510.07%1195123.2237104121010121192039.62%5300000.6911100221
7Cameron HughesRoadrunners (PHX)C68141327142107481121349111.57%1294413.89325211490001402154.89%39900010.5701011112
8Nikita NesterovRoadrunners (PHX)D6891625-7110201004880254411.25%58134619.792464320600011481050.00%200000.3700102023
9Luke WitkowskiRoadrunners (PHX)D6841620710820111594924358.16%84119517.58257291760111130100.00%000000.3300021110
10Shawn Ouellette-St. AmantRoadrunners (PHX)LW5031114728065326517464.62%860712.140227540000760061.40%11400000.4600000101
11Joe ColbornePhoenix CoyotesC5421214-934033556225423.23%1565212.090334840001820156.11%26200000.4300000000
12Mark StuartPhoenix CoyotesD353912-5335522729142710.34%3378822.54268121370000110000.00%000000.3000001011
13Ryan WhiteRoadrunners (PHX)C685510-13531546867721566.49%106509.571127570001520060.14%29100000.3100111001
14Matt BartkowskiRoadrunners (PHX)D1416721603934369172.78%1535125.091122356000040000.00%000000.4000000001
Stats d'équipe Total ou en Moyenne803146256402-64766110110111751457452114510.02%4221399817.4346801264192321347181428221059.95%391000060.57364610192420
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
1Dylan FergusonRoadrunners (PHX)31151410.8992.67175402787720311.00023142302
2Reto BerraPhoenix Coyotes106120.9181.7156001161960000.5004936000
3Brad ThiessenRoadrunners (PHX)93600.9162.4454221222620000.000090010
Stats d'équipe Total ou en Moyenne50242130.9062.4428572411612300310.66764978312


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Axel HolmstromRoadrunners (PHX)LW201996-06-29Yes198 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Brad ThiessenRoadrunners (PHX)G301986-03-18No180 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No
Cameron HughesRoadrunners (PHX)C201996-10-09Yes174 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Carter CamperRoadrunners (PHX)C281988-07-06No176 Lbs5 ft9NoNoNo4Sans RestrictionPro & Farm311,002$0$0$No
Dylan FergusonRoadrunners (PHX)G181998-09-20Yes190 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm0$0$No
Luke WitkowskiRoadrunners (PHX)D261990-04-14No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Marcus KrugerRoadrunners (PHX)C261990-05-27No186 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$No
Matt BartkowskiRoadrunners (PHX)D281988-06-03No196 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm982,946$0$0$No
Milan MichalekRoadrunners (PHX)LW321984-12-06No216 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Nikita NesterovRoadrunners (PHX)D231993-03-27No190 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Ryan WhiteRoadrunners (PHX)C281988-03-16No201 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm498,984$0$0$No
Shawn Ouellette-St. AmantRoadrunners (PHX)LW201996-11-18Yes198 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Tyson StrachanRoadrunners (PHX)D321984-10-29No215 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm386,339$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1325.46194 Lbs6 ft12.38452,252$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Axel HolmstromMarcus Kruger40122
2Milan MichalekCarter CamperCameron Hughes30122
3Marcus KrugerCameron Hughes20122
4Carter CamperRyan WhiteAxel Holmstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyson Strachan40122
2Nikita NesterovLuke Witkowski30122
3Tyson Strachan20122
4Nikita NesterovLuke Witkowski10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Axel HolmstromMarcus Kruger60122
2Milan MichalekCarter CamperCameron Hughes40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyson Strachan60122
2Nikita NesterovLuke Witkowski40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Marcus Kruger60122
2Carter CamperAxel Holmstrom40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyson Strachan60122
2Nikita NesterovLuke Witkowski40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Marcus Kruger60122Tyson Strachan60122
240122Nikita NesterovLuke Witkowski40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Marcus Kruger60122
2Carter CamperAxel Holmstrom40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyson Strachan60122
2Nikita NesterovLuke Witkowski40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Axel HolmstromMarcus KrugerTyson Strachan
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Axel HolmstromMarcus KrugerTyson Strachan
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Ryan White, Milan Michalek, Ryan WhiteMilan Michalek
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Tyson Strachan, Nikita NesterovTyson Strachan, Nikita Nesterov
Tirs de Pénalité
Marcus Kruger, , Carter Camper, Axel Holmstrom, Cameron Hughes
Gardien
#1 : , #2 :


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
LigueDomicileVisiteur
# 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
1Barracuda808000001340-2740400000523-1840400000817-900.00013253800615654515752853059125259711071455559.09%481079.17%01093194856.11%1063197353.88%55998856.58%160311321711493794386
2Condors85200100171704210010089-143100000981110.6881727441261565451975285305912518257741295547.27%29389.66%01093194856.11%1063197353.88%55998856.58%160311321711493794386
3Eagles1237001012439-15622001011519-461500000920-1180.33324446800615654521552853059125342101157198891112.36%681577.94%01093194856.11%1063197353.88%55998856.58%160311321711493794386
4Gulls81600100927-1840400000519-144120010048-430.18891726006156545154528530591252016812114555712.73%44686.36%01093194856.11%1063197353.88%55998856.58%160311321711493794386
5Heat815001102434-1040300100918-9412000101516-150.313243963006156545210528530591252487512816758813.79%43686.05%11093194856.11%1063197353.88%55998856.58%160311321711493794386
6IceHogs41200010871210000105232020000035-240.5008111901615654596528530591258426617315320.00%24483.33%11093194856.11%1063197353.88%55998856.58%160311321711493794386
7Reign8800000047133444000000247174400000023617161.000478413101615654537252853059125201458718927933.33%24483.33%11093194856.11%1063197353.88%55998856.58%160311321711493794386
8Stars41201000910-12110000045-12010100055040.50091423006156545105528530591251043539621915.26%17382.35%01093194856.11%1063197353.88%55998856.58%160311321711493794386
Total68233701421174216-423413160031190114-243410210111084102-18570.419174299473146156545166552853059125187354886312534115413.14%3396082.30%31093194856.11%1063197353.88%55998856.58%160311321711493794386
10Wild42200000161602200000011832020000058-340.5001625410061565451005285305912512642397126519.23%17570.59%01093194856.11%1063197353.88%55998856.58%160311321711493794386
11Wolves41300000713-6211000004402020000039-620.2507132000615654559528530591251262850741218.33%25484.00%01093194856.11%1063197353.88%55998856.58%160311321711493794386
_Since Last GM Reset68233701421174216-423413160031190114-243410210111084102-18570.419174299473146156545166552853059125187354886312534115413.14%3396082.30%31093194856.11%1063197353.88%55998856.58%160311321711493794386
_Vs Conference24914001006980-111248000003449-1512560010035314190.39669126195016156545683528530591256611843154791372115.33%1162082.76%11093194856.11%1063197353.88%55998856.58%160311321711493794386

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6857L317429947316651873548863125314
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6823371421174216
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
341316031190114
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
341021111084102
Derniers 10 Matchs
WLOTWOTL SOWSOL
370000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4115413.14%3396082.30%3
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
528530591256156545
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
1093194856.11%1063197353.88%55998856.58%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
160311321711493794386


Derniers Match 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
4 - 2018-09-0823Gulls4Roadrunners3LSommaire du Match
10 - 2018-09-1442Roadrunners1Gulls2LXSommaire du Match
11 - 2018-09-1557Roadrunners2Condors1WSommaire du Match
17 - 2018-09-2181IceHogs0Roadrunners2WSommaire du Match
18 - 2018-09-2295IceHogs2Roadrunners3WXXSommaire du Match
24 - 2018-09-28116Roadrunners7Reign1WSommaire du Match
25 - 2018-09-29130Roadrunners0Gulls3LSommaire du Match
31 - 2018-10-05150Roadrunners3Eagles1WSommaire du Match
32 - 2018-10-06165Roadrunners2Eagles5LSommaire du Match
36 - 2018-10-10178Gulls6Roadrunners0LSommaire du Match
38 - 2018-10-12189Barracuda7Roadrunners2LSommaire du Match
39 - 2018-10-13203Barracuda7Roadrunners1LSommaire du Match
45 - 2018-10-19234Roadrunners4Heat6LSommaire du Match
46 - 2018-10-20235Roadrunners3Barracuda4LSommaire du Match
49 - 2018-10-23255Heat5Roadrunners1LSommaire du Match
50 - 2018-10-24262Heat5Roadrunners3LSommaire du Match
53 - 2018-10-27289Roadrunners2Condors0WSommaire du Match
54 - 2018-10-28296Roadrunners5Reign2WSommaire du Match
61 - 2018-11-04338Roadrunners5Reign1WSommaire du Match
64 - 2018-11-07348Roadrunners2Gulls1WSommaire du Match
66 - 2018-11-09359Reign2Roadrunners4WSommaire du Match
67 - 2018-11-10374Reign0Roadrunners6WSommaire du Match
70 - 2018-11-13382Eagles5Roadrunners1LSommaire du Match
71 - 2018-11-14389Eagles2Roadrunners1LSommaire du Match
74 - 2018-11-17411Roadrunners1Wolves3LSommaire du Match
75 - 2018-11-18419Roadrunners2Wolves6LSommaire du Match
80 - 2018-11-23448Roadrunners3Barracuda7LSommaire du Match
81 - 2018-11-24462Roadrunners1Barracuda3LSommaire du Match
87 - 2018-11-30485Heat4Roadrunners3LXSommaire du Match
88 - 2018-12-01497Heat4Roadrunners2LSommaire du Match
94 - 2018-12-07530Roadrunners3Heat8LSommaire du Match
95 - 2018-12-08544Roadrunners4Condors3WSommaire du Match
101 - 2018-12-14571Wolves3Roadrunners2LSommaire du Match
102 - 2018-12-15586Wolves1Roadrunners2WSommaire du Match
108 - 2018-12-21613Roadrunners1Eagles3LSommaire du Match
109 - 2018-12-22629Roadrunners1Eagles3LSommaire du Match
111 - 2018-12-24642Stars3Roadrunners4WSommaire du Match
113 - 2018-12-26651Stars2Roadrunners0LSommaire du Match
115 - 2018-12-28666Condors0Roadrunners1WSommaire du Match
116 - 2018-12-29669Condors4Roadrunners2LSommaire du Match
122 - 2019-01-04693Eagles3Roadrunners2LXXSommaire du Match
123 - 2019-01-05709Eagles4Roadrunners3LXSommaire du Match
129 - 2019-01-11730Roadrunners1IceHogs2LSommaire du Match
130 - 2019-01-12744Roadrunners2IceHogs3LSommaire du Match
133 - 2019-01-15761Roadrunners1Barracuda3LSommaire du Match
136 - 2019-01-18777Roadrunners1Stars2LSommaire du Match
137 - 2019-01-19790Roadrunners4Stars3WXSommaire du Match
141 - 2019-01-23813Roadrunners1Gulls2LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2019-01-26838Condors2Roadrunners1LXSommaire du Match
146 - 2019-01-28846Condors3Roadrunners4WSommaire du Match
151 - 2019-02-02880Roadrunners2Eagles5LSommaire du Match
152 - 2019-02-03886Roadrunners0Eagles3LSommaire du Match
157 - 2019-02-08907Reign3Roadrunners9WSommaire du Match
158 - 2019-02-09921Reign2Roadrunners5WSommaire du Match
164 - 2019-02-15953Roadrunners6Heat1WSommaire du Match
165 - 2019-02-16965Roadrunners2Heat1WXXSommaire du Match
168 - 2019-02-19976Wild6Roadrunners7WSommaire du Match
169 - 2019-02-20983Wild2Roadrunners4WSommaire du Match
172 - 2019-02-231007Barracuda6Roadrunners0LSommaire du Match
173 - 2019-02-241014Barracuda3Roadrunners2LSommaire du Match
178 - 2019-03-011038Eagles2Roadrunners4WSommaire du Match
179 - 2019-03-021053Eagles3Roadrunners4WSommaire du Match
182 - 2019-03-051062Roadrunners4Wild6LSommaire du Match
183 - 2019-03-061069Roadrunners1Wild2LSommaire du Match
187 - 2019-03-101103Roadrunners6Reign2WSommaire du Match
190 - 2019-03-131111Roadrunners1Condors4LSommaire du Match
192 - 2019-03-151127Gulls5Roadrunners0LSommaire du Match
193 - 2019-03-161141Gulls4Roadrunners2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
901,955$ 58,792$ 69,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 78,143$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 20,922$ 0$




LigueDomicileVisiteur
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
1368233701421174216-423413160031190114-243410210111084102-1857174299473146156545166552853059125187354886312534115413.14%3396082.30%31093194856.11%1063197353.88%55998856.58%160311321711493794386
Total Saison Régulière68233701421174216-423413160031190114-243410210111084102-1857174299473146156545166552853059125187354886312534115413.14%3396082.30%31093194856.11%1063197353.88%55998856.58%160311321711493794386