Roadrunners

GP: 4 | W: 4 | L: 0 | OTL: 0 | P: 8
GF: 18 | GA: 11 | PP%: 18.75% | PK%: 80.00%
DG: Richard Boivin | Morale : 56 | Moyenne d'Équipe : 61
Prochain matchs #95 vs IceHogs
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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
1Conor ShearyXX100.005636916864779167596668566573703757640
2Cole SchneiderX100.006437876278918761655961596277795654630
3Dylan SikuraX100.005335946466797063546859626367645657620
4Eric TangradiX100.006838865892806557525956615478705957610
5Justin DowlingX100.005835946066837059746356595877794660610
6Brendan WoodsX100.007344685688908555575453595473675857600
7Brad MaloneX100.007538865784756556685755655378705257600
8Jamie DevaneX100.008146625396787253545152595575685757590
9Mike SisloX100.005636905670837754595553575479715457580
10Ryan WhiteX100.007144675574787254535254585479715254580
11Luke WitkowskiX100.008057655282655552555451585277694057560
12Zach TrotmanX100.006839815887796257305853654577694857630
13Christian JarosX100.008044855984777458306653624865635657630
14Matt BartkowskiX100.005736906277817160305860594879714657620
Rayé
1Axel HolmstromX100.006135945874928956635554575965636246590
2Ben HolmstromX100.006438865478837752575351565280725346580
3Cameron HughesX100.005337875954908458615756525765636246580
4Linus Olund (R)X100.005735945571928854565352534963626346570
MOYENNE D'ÉQUIPE100.00653984587782755754585559557469535460
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
Rayé
1Michael Leighton100.00717068817069717069717088922546710
MOYENNE D'ÉQUIPE100.0071706881706971706971708892254671
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme73727068696479CAN4651,000,000$


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
1Justin DowlingRoadrunners (PHX)C424635527173911.76%36616.57011710000010072.46%6900001.8100100010
2Zach TrotmanRoadrunners (PHX)D4066120428360.00%49824.7402231200007000.00%000001.2100000000
3Conor ShearyRoadrunners (PHX)LW/RW441520012112091120.00%19022.720113150000131177.78%2700001.1000000111
4Cole SchneiderRoadrunners (PHX)LW4145317535891712.50%17619.2210141001111300100.00%300001.3000001001
5Christian JarosRoadrunners (PHX)D4235-14013072628.57%69824.5820261200008200.00%000001.0200000101
6Brendan WoodsRoadrunners (PHX)C4314280891141027.27%25213.0900000101120071.79%3900001.5300000010
7Eric TangradiRoadrunners (PHX)LW4224200121101018.18%15213.020000000008000.00%100001.5400000010
8Matt BartkowskiRoadrunners (PHX)D40445606213570.00%69624.2300081100009000.00%000000.8300000100
9Ryan WhiteRoadrunners (PHX)RW422427552123816.67%16315.93022210000000075.00%400001.2600010000
10Mike SisloRoadrunners (PHX)RW41232001241625.00%04110.4400000000001080.00%500001.4400000000
11Dylan SikuraRoadrunners (PHX)RW402210021215580.00%18020.23000215000060089.47%1900000.4900000000
12Brad MaloneRoadrunners (PHX)C41010001192911.11%1328.2100000000000076.92%2600000.6100000000
13Jamie DevaneRoadrunners (PHX)LW4011040219140.00%2328.2000000000000050.00%200000.6100000000
14Chris CastoPhoenix CoyotesD1000-100003010.00%02323.100001400002000.00%000000.0000000000
15Luke WitkowskiRoadrunners (PHX)RW4000020343250.00%1328.20000000000000100.00%300000.0000000000
Stats d'équipe Total ou en Moyenne5718325021551563601504911712.00%3094016.50369361061122744175.76%19800001.0600111343
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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 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)C231996-06-29No198 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Ben HolmstromRoadrunners (PHX)C321987-04-09No203 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm499,994$0$0$NoLien
Brad MaloneRoadrunners (PHX)C301989-05-20No217 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm499,994$0$0$NoLien
Brendan WoodsRoadrunners (PHX)C271992-06-11No210 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm499,994$0$0$NoLien
Cameron HughesRoadrunners (PHX)C221996-10-06No160 Lbs5 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Christian JarosRoadrunners (PHX)D231996-04-02No201 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Cole SchneiderRoadrunners (PHX)LW281990-08-26No203 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm499,994$0$0$NoLien
Conor ShearyRoadrunners (PHX)LW/RW271992-06-08No176 Lbs5 ft8NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$NoLien
Dylan SikuraRoadrunners (PHX)RW241995-06-01No166 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Eric TangradiRoadrunners (PHX)LW301989-02-10No226 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm499,994$0$0$NoLien
Jamie DevaneRoadrunners (PHX)LW281991-02-20No232 Lbs6 ft5NoNoNo2Sans RestrictionPro & Farm499,994$0$0$NoLien
Justin DowlingRoadrunners (PHX)C281990-10-01No180 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm499,994$0$0$NoLien
Linus OlundRoadrunners (PHX)C221997-06-05Yes185 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Luke WitkowskiRoadrunners (PHX)RW291990-04-14No210 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$0$0$NoLien
Matt BartkowskiRoadrunners (PHX)D311988-06-04No198 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Michael LeightonRoadrunners (PHX)G381981-05-19No186 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm500,000$0$0$NoLien
Mike SisloRoadrunners (PHX)RW311988-01-20No190 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm499,994$0$0$NoLien
Ryan WhiteRoadrunners (PHX)RW311988-03-17No200 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm498,984$0$0$NoLien
Zach TrotmanRoadrunners (PHX)D281990-08-26No217 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm499,994$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1928.00198 Lbs6 ft12.37494,681$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Conor ShearyDylan Sikura40122
2Cole SchneiderJustin DowlingRyan White30122
3Eric TangradiBrendan WoodsMike Sislo20122
4Jamie DevaneBrad MaloneLuke Witkowski10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach TrotmanChristian Jaros40122
2Matt Bartkowski30122
3Zach TrotmanChristian Jaros20122
4Matt Bartkowski10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Conor ShearyDylan Sikura60122
2Cole SchneiderJustin DowlingRyan White40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach TrotmanChristian Jaros60122
2Matt Bartkowski40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Conor ShearyCole Schneider60122
2Dylan SikuraEric Tangradi40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach TrotmanChristian Jaros60122
2Matt Bartkowski40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Conor Sheary60122Zach TrotmanChristian Jaros60122
2Cole Schneider40122Matt Bartkowski40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Conor ShearyCole Schneider60122
2Dylan SikuraEric Tangradi40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach TrotmanChristian Jaros60122
2Matt Bartkowski40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Conor ShearyDylan SikuraZach TrotmanChristian Jaros
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Conor ShearyDylan SikuraZach TrotmanChristian Jaros
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Brendan Woods, Brendan Woods
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Zach Trotman, Christian Jaros, Zach TrotmanChristian Jaros,
Tirs de Pénalité
Conor Sheary, Cole Schneider, Dylan Sikura, Eric Tangradi,
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
1Condors11000000422000000000001100000042221.00048120087214460523721776172150.00%30100.00%08813067.69%689373.12%335658.93%1219175234626
2Gulls21001000963110000003121000100065141.000916250087217060523725420413911218.18%6183.33%08813067.69%689373.12%335658.93%1219175234626
3IceHogs11000000532110000005320000000000021.00059140087213760523722461214300.00%6266.67%18813067.69%689373.12%335658.93%1219175234626
Total43001000181172200000084421001000107381.00018335100872115160523729533597016318.75%15380.00%18813067.69%689373.12%335658.93%1219175234626
_Since Last GM Reset43001000181172200000084421001000107381.00018335100872115160523729533597016318.75%15380.00%18813067.69%689373.12%335658.93%1219175234626
_Vs Conference21001000963110000003121000100065141.000916250087217060523725420413911218.18%6183.33%08813067.69%689373.12%335658.93%1219175234626

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
48W21833511519533597000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
43010001811
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
220000084
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2101000107
Derniers 10 Matchs
WLOTWOTL SOWSOL
301000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
16318.75%15380.00%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
60523728721
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
8813067.69%689373.12%335658.93%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1219175234626


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 - 2019-09-0523Gulls1Roadrunners3WSommaire du Match
10 - 2019-09-1142Roadrunners6Gulls5WXSommaire du Match
11 - 2019-09-1257Roadrunners4Condors2WSommaire du Match
17 - 2019-09-1881IceHogs3Roadrunners5WSommaire du Match
18 - 2019-09-1995IceHogs-Roadrunners-
24 - 2019-09-25116Roadrunners-Reign-
25 - 2019-09-26130Roadrunners-Gulls-
31 - 2019-10-02150Roadrunners-Eagles-
32 - 2019-10-03165Roadrunners-Eagles-
36 - 2019-10-07178Gulls-Roadrunners-
38 - 2019-10-09189Barracuda-Roadrunners-
39 - 2019-10-10203Barracuda-Roadrunners-
45 - 2019-10-16234Roadrunners-Heat-
46 - 2019-10-17235Roadrunners-Barracuda-
49 - 2019-10-20255Heat-Roadrunners-
50 - 2019-10-21262Heat-Roadrunners-
53 - 2019-10-24289Roadrunners-Condors-
54 - 2019-10-25296Roadrunners-Reign-
61 - 2019-11-01338Roadrunners-Reign-
64 - 2019-11-04348Roadrunners-Gulls-
66 - 2019-11-06359Reign-Roadrunners-
67 - 2019-11-07374Reign-Roadrunners-
70 - 2019-11-10382Eagles-Roadrunners-
71 - 2019-11-11389Eagles-Roadrunners-
74 - 2019-11-14411Roadrunners-Wolves-
75 - 2019-11-15419Roadrunners-Wolves-
80 - 2019-11-20448Roadrunners-Barracuda-
81 - 2019-11-21462Roadrunners-Barracuda-
87 - 2019-11-27485Heat-Roadrunners-
88 - 2019-11-28497Heat-Roadrunners-
94 - 2019-12-04530Roadrunners-Heat-
95 - 2019-12-05544Roadrunners-Condors-
101 - 2019-12-11571Wolves-Roadrunners-
102 - 2019-12-12586Wolves-Roadrunners-
108 - 2019-12-18613Roadrunners-Eagles-
109 - 2019-12-19629Roadrunners-Eagles-
111 - 2019-12-21642Stars-Roadrunners-
113 - 2019-12-23651Stars-Roadrunners-
115 - 2019-12-25666Condors-Roadrunners-
116 - 2019-12-26669Condors-Roadrunners-
122 - 2020-01-01693Eagles-Roadrunners-
123 - 2020-01-02709Eagles-Roadrunners-
129 - 2020-01-08730Roadrunners-IceHogs-
130 - 2020-01-09744Roadrunners-IceHogs-
133 - 2020-01-12761Roadrunners-Barracuda-
136 - 2020-01-15777Roadrunners-Stars-
137 - 2020-01-16790Roadrunners-Stars-
141 - 2020-01-20813Roadrunners-Gulls-
144 - 2020-01-23838Condors-Roadrunners-
146 - 2020-01-25846Condors-Roadrunners-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-30880Roadrunners-Eagles-
152 - 2020-01-31886Roadrunners-Eagles-
157 - 2020-02-05907Reign-Roadrunners-
158 - 2020-02-06921Reign-Roadrunners-
164 - 2020-02-12953Roadrunners-Heat-
165 - 2020-02-13965Roadrunners-Heat-
168 - 2020-02-16976Wild-Roadrunners-
169 - 2020-02-17983Wild-Roadrunners-
172 - 2020-02-201007Barracuda-Roadrunners-
173 - 2020-02-211014Barracuda-Roadrunners-
178 - 2020-02-261038Eagles-Roadrunners-
179 - 2020-02-271053Eagles-Roadrunners-
182 - 2020-03-011062Roadrunners-Wild-
183 - 2020-03-021069Roadrunners-Wild-
187 - 2020-03-061103Roadrunners-Reign-
190 - 2020-03-091111Roadrunners-Condors-
192 - 2020-03-111127Gulls-Roadrunners-
193 - 2020-03-121141Gulls-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
32 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
96,071$ 93,990$ 15,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 8,436$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 177 5,639$ 998,103$




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
14430010001811722000000844210010001073818335100872115160523729533597016318.75%15380.00%18813067.69%689373.12%335658.93%1219175234626
Total Saison Régulière430010001811722000000844210010001073818335100872115160523729533597016318.75%15380.00%18813067.69%689373.12%335658.93%1219175234626