Roadrunners

GP: 44 | W: 15 | L: 25 | OTL: 4 | P: 34
GF: 103 | GA: 141 | PP%: 12.65% | PK%: 83.91%
DG: Richard Boivin | Morale : 32 | Moyenne d'Équipe : 56
Prochain matchs #761 vs Barracuda
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 KrugerX100.00735573827974807484646171557474143680
2Cameron Hughes (R)X100.00685578556454545550555555557473141550
3Axel Holmstrom (R)X100.00565555555859595550555555557372144550
4Milan MichalekX100.00555555555555555550555555557374143540
5Nathan Walker (R)X100.00565559555460685550555555555050156540
6Joe ColborneX100.00565555555556565550555555556667133540
7Ryan WhiteX100.00565555555555555550555555556667143540
8Mark StuartX100.00555555605555555525555555557880118560
9Tyson StrachanX100.00555555605555745525555555556465140560
10Nikita NesterovX100.00555555605555555525555555557674147550
11Luke WitkowskiX100.00555555605555585525555555555353136540
Rayé
MOYENNE D'ÉQUIPE100.0058555959585861574456565655686814056
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
1Dylan Ferguson (R)99.0050506373405250514055555055128510
Rayé
MOYENNE D'ÉQUIPE99.005050637340525051405555505512851
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Weight72688787756076USA473100,000$


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)C442121423500901781345713915.67%1994221.4196154318901121314263.34%104200010.8901000351
2Teddy PurcellPhoenix CoyotesRW36141630-93356961133329410.53%1082222.8437103818010121092035.56%4500000.7311100221
3Carter CamperPhoenix CoyotesC4292029-7295448489167510.11%869216.4826810980000701154.77%56600000.8401100213
4Axel HolmstromRoadrunners (PHX)LW4441721-625536437720805.19%781718.57178161820003721157.14%7000000.5100001110
5Milan MichalekRoadrunners (PHX)LW4491120-13220434584255710.71%765514.89123191040000442051.92%5200000.6100000211
6Tyson StrachanRoadrunners (PHX)D4451116-10575894036113013.89%4585719.4922419121011091000.00%000000.3700010011
7Nikita NesterovRoadrunners (PHX)D446915-117715592941132114.63%3483819.052462211700009100100.00%100000.3600101012
8Luke WitkowskiRoadrunners (PHX)D4428101681067281591613.33%4969615.83134488000078100.00%000000.2900010010
9Cameron HughesRoadrunners (PHX)C44279-2321035344620414.35%746810.651128590001331154.19%20300000.3801011000
10Mark StuartRoadrunners (PHX)D29268-231542152213169.09%2264722.321458108000095000.00%000000.2500001010
11Joe ColborneRoadrunners (PHX)C44178-922027364716282.13%1549811.330224560001700053.50%20000000.3200000000
12Ryan WhiteRoadrunners (PHX)C44448-6341030335110317.84%43818.661126380000290067.12%7300000.4200101001
13Matt BartkowskiPhoenix CoyotesD1416721603934369172.78%1535125.091122356000040000.00%000000.4000000001
14Nathan WalkerRoadrunners (PHX)LW4011-355565330.00%17719.49011219000010040.00%500000.2600100000
Stats d'équipe Total ou en Moyenne52180144224-72501756756668162546489.80%243874416.782547722221418123996012558.57%225700010.5114535101411
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)137600.9172.1677802283360210.00001322200
2Reto BerraPhoenix Coyotes106120.9181.7156001161960000.5004936000
3Brad ThiessenPhoenix Coyotes72500.9172.4441821172040000.000070010
Stats d'équipe Total ou en Moyenne30151220.9172.08175724617360210.50042958210


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
Cameron HughesRoadrunners (PHX)C201996-10-09Yes174 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Dylan FergusonRoadrunners (PHX)G181998-09-20Yes190 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm0$0$No
Joe ColborneRoadrunners (PHX)C261990-01-30No220 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm499,999$0$0$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
Mark StuartRoadrunners (PHX)D321984-04-26No213 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm938,847$0$0$No
Milan MichalekRoadrunners (PHX)LW321984-12-06No216 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Nathan WalkerRoadrunners (PHX)LW221994-02-06Yes186 Lbs5 ft8NoNoNo1Contrat d'EntréePro & 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
Tyson StrachanRoadrunners (PHX)D321984-10-29No215 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm386,339$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1225.42199 Lbs6 ft12.08477,014$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Axel HolmstromMarcus Kruger40122
2Nathan WalkerCameron Hughes30122
3Milan MichalekCameron HughesMarcus Kruger20122
4Ryan White10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyson StrachanMark Stuart40122
2Nikita NesterovLuke Witkowski30122
3Tyson StrachanMark Stuart20122
4Nikita NesterovLuke Witkowski10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Axel HolmstromMarcus Kruger60122
2Nathan WalkerCameron Hughes40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyson StrachanMark Stuart60122
2Nikita NesterovLuke Witkowski40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Marcus Kruger60122
2Cameron Hughes40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyson StrachanMark Stuart60122
2Nikita NesterovLuke Witkowski40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Marcus Kruger60122Tyson StrachanMark Stuart60122
240122Nikita NesterovLuke Witkowski40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Marcus Kruger60122
2Cameron Hughes40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyson StrachanMark Stuart60122
2Nikita NesterovLuke Witkowski40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Axel HolmstromMarcus KrugerTyson StrachanMark Stuart
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Axel HolmstromMarcus KrugerTyson StrachanMark Stuart
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joe Colborne, Ryan White, Milan MichalekJoe Colborne, Ryan WhiteMilan Michalek
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyson Strachan, Mark Stuart, Nikita NesterovTyson StrachanMark Stuart, Nikita Nesterov
Tirs de Pénalité
Marcus Kruger, , , Cameron Hughes, Axel Holmstrom
Gardien
#1 : , #2 : Dylan Ferguson


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
1Barracuda505000001028-1820200000314-1130300000714-700.0001019290036323429730432138515176508110138410.53%35682.86%0671126653.00%674130551.65%35561657.63%10277181110323517251
2Condors5410000011832110000034-13300000084480.800111829123632342132304321385151183539833226.25%14192.86%0671126653.00%674130551.65%35561657.63%10277181110323517251
3Eagles815001011426-1240200101714-741300000712-540.25014274100363234213830432138515232641061396369.52%481079.17%0671126653.00%674130551.65%35561657.63%10277181110323517251
4Gulls51300100616-1020200000310-73110010036-330.30061117003632342793043213851513041779228414.29%29389.66%0671126653.00%674130551.65%35561657.63%10277181110323517251
5Heat605001001632-1640300100918-920200000714-710.08316284400363234215430432138515197609213943613.95%30583.33%0671126653.00%674130551.65%35561657.63%10277181110323517251
6IceHogs41200010871210000105232020000035-240.5008111901363234296304321385158426617315320.00%24483.33%1671126653.00%674130551.65%35561657.63%10277181110323517251
7Reign55000000276212200000010283300000017413101.00027497601363234220930432138515124276410818633.33%15286.67%0671126653.00%674130551.65%35561657.63%10277181110323517251
8Stars2110000045-12110000045-10000000000020.5004610003632342553043213851546142526400.00%10280.00%0671126653.00%674130551.65%35561657.63%10277181110323517251
Total44142500311103141-3822612002114873-2522813001005568-13340.38610318228514363234210193043213851512333455958352533212.65%2303783.91%1671126653.00%674130551.65%35561657.63%10277181110323517251
10Wolves41300000713-6211000004402020000039-620.2507132000363234259304321385151262850741218.33%25484.00%0671126653.00%674130551.65%35561657.63%10277181110323517251
_Since Last GM Reset44142500311103141-3822612002114873-2522813001005568-13340.38610318228514363234210193043213851512333455958352533212.65%2303783.91%1671126653.00%674130551.65%35561657.63%10277181110323517251
_Vs Conference1568001004350-7624000001626-109440010027243130.433437912201363234238530432138515430118222301841416.67%791186.08%0671126653.00%674130551.65%35561657.63%10277181110323517251

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4434L21031822851019123334559583514
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4414250311103141
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2261202114873
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2281301005568
Derniers 10 Matchs
WLOTWOTL SOWSOL
260101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2533212.65%2303783.91%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
304321385153632342
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
671126653.00%674130551.65%35561657.63%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10277181110323517251


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 - 2019-01-15761Roadrunners-Barracuda-
136 - 2019-01-18777Roadrunners-Stars-
137 - 2019-01-19790Roadrunners-Stars-
141 - 2019-01-23813Roadrunners-Gulls-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2019-01-26838Condors-Roadrunners-
146 - 2019-01-28846Condors-Roadrunners-
151 - 2019-02-02880Roadrunners-Eagles-
152 - 2019-02-03886Roadrunners-Eagles-
157 - 2019-02-08907Reign-Roadrunners-
158 - 2019-02-09921Reign-Roadrunners-
164 - 2019-02-15953Roadrunners-Heat-
165 - 2019-02-16965Roadrunners-Heat-
168 - 2019-02-19976Wild-Roadrunners-
169 - 2019-02-20983Wild-Roadrunners-
172 - 2019-02-231007Barracuda-Roadrunners-
173 - 2019-02-241014Barracuda-Roadrunners-
178 - 2019-03-011038Eagles-Roadrunners-
179 - 2019-03-021053Eagles-Roadrunners-
182 - 2019-03-051062Roadrunners-Wild-
183 - 2019-03-061069Roadrunners-Wild-
187 - 2019-03-101103Roadrunners-Reign-
190 - 2019-03-131111Roadrunners-Condors-
192 - 2019-03-151127Gulls-Roadrunners-
193 - 2019-03-161141Gulls-Roadrunners-



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
12 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
125,936$ 57,241$ 61,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 58,350$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 63 811$ 51,093$




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
1344142500311103141-3822612002114873-2522813001005568-133410318228514363234210193043213851512333455958352533212.65%2303783.91%1671126653.00%674130551.65%35561657.63%10277181110323517251
Total Saison Régulière44142500311103141-3822612002114873-2522813001005568-133410318228514363234210193043213851512333455958352533212.65%2303783.91%1671126653.00%674130551.65%35561657.63%10277181110323517251