Roadrunners

GP: 40 | W: 30 | L: 5 | OTL: 5 | P: 65
GF: 157 | GA: 103 | PP%: 25.13% | PK%: 83.23%
DG: Richard Boivin | Morale : 75 | Moyenne d'Équipe : 61
Prochain matchs #693 vs Eagles
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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 ShearyXX100.005636916864779167596668566573703781640
2Cole SchneiderX100.006437876278918761655961596277795678640
3Brad MaloneX100.007538865784756556685755655378705281610
4Eric TangradiX100.006838865892806557525956615478705980610
5Brendan WoodsX100.007344685688908555575453595473675881600
6Axel HolmstromX100.006135945874928956635554575965636235590
7Jamie DevaneX100.008146625396787253545152595575685779590
8Ben HolmstromX100.006438865478837752575351565280725335580
9Mike SisloX100.005636905670837754595553575479715479580
10Ryan WhiteX100.007144675574787254535254585479715278580
11Luke WitkowskiX100.008057655282655552555451585277694080570
12Christian JarosX100.008044855984777458306653624865635681640
13Zach TrotmanX100.006839815887796257305853654577694881630
14Matt BartkowskiX100.005736906277817160305860594879714667620
Rayé
1Egor YakovlevX100.005736916672807165307458565375684920630
MOYENNE D'ÉQUIPE100.00674082588081745751585559547569526961
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
1Michael Leighton100.00717068817069717069717088922537710
Rayé
MOYENNE D'ÉQUIPE100.0071706881706971706971708892253771
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'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
1Conor ShearyRoadrunners (PHX)LW/RW403124551418074912476718112.55%1597624.41611174215000081405362.68%34300021.13140001033
2Cole SchneiderRoadrunners (PHX)LW4019284713482041551625911911.73%2690422.62812203613101191532173.33%6000011.0414121214
3Ryan WhiteRoadrunners (PHX)RW40102838125515793187346911.49%664416.115111626132000002070.97%3100001.1800120204
4Zach TrotmanRoadrunners (PHX)D4012253711120574582334314.63%51100625.176612461390002107200.00%000000.7400000124
5Matt BartkowskiRoadrunners (PHX)D3552934640055307722536.49%5290425.85481242124101498010.00%000000.7500000132
6Eric TangradiRoadrunners (PHX)LW401118296375362897267511.34%1768417.1035818651014721064.71%1700000.8501100213
7Christian JarosRoadrunners (PHX)D407202784551063466193810.61%45100525.14437361340000102300.00%000000.5400100441
8Brendan WoodsRoadrunners (PHX)C4012102247020595777346515.58%1458314.580113241013633065.81%46800000.7500103111
9Mike SisloRoadrunners (PHX)RW40913228235222176216811.84%554613.654151378000004153.49%4300000.8100001110
10Brad MaloneRoadrunners (PHX)C407142110160294610128636.93%949812.4606610670001291162.95%50200000.8401000030
11Luke WitkowskiRoadrunners (PHX)RW40257027537215116443.92%33508.7600000000000068.42%1900000.4000010000
12Jamie DevaneRoadrunners (PHX)LW40246550103414439264.65%52726.8100000000040058.82%1700000.4401011010
13Ben HolmstromRoadrunners (PHX)C1813406064962111.11%625314.100111140111121068.00%2500000.3200000100
14Axel HolmstromRoadrunners (PHX)C1811224001214397.14%21146.3500000000001061.54%10400000.3501000010
15Chris CastoPhoenix CoyotesD1000-100003010.00%02323.100001400002000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne5121292223519845185635489119237787510.82%256876717.12406510527410683253278625764.03%162900030.80212566252122
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
1Michael LeightonRoadrunners (PHX)1811340.9331.59109241294310200.7789180033
Stats d'équipe Total ou en Moyenne1811340.9331.59109241294310200.7789180033


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 Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Axel HolmstromRoadrunners (PHX)C231996-06-29No198 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Ben HolmstromRoadrunners (PHX)C321987-04-09No203 Lbs6 ft1NoNoNo3Pro & Farm499,994$0$0$No499,994$499,994$Lien
Brad MaloneRoadrunners (PHX)C301989-05-20No217 Lbs6 ft2NoNoNo1Pro & Farm499,994$0$0$NoLien
Brendan WoodsRoadrunners (PHX)C271992-06-11No210 Lbs6 ft4NoNoNo4Pro & Farm499,994$0$0$No499,994$499,994$499,994$Lien
Christian JarosRoadrunners (PHX)D231996-04-02No201 Lbs6 ft3NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Cole SchneiderRoadrunners (PHX)LW281990-08-26No203 Lbs6 ft1NoNoNo2Pro & Farm499,994$0$0$No499,994$Lien
Conor ShearyRoadrunners (PHX)LW/RW271992-06-08No176 Lbs5 ft8NoNoNo1Pro & Farm1,000,000$0$0$NoLien
Egor YakovlevRoadrunners (PHX)D271991-09-17No190 Lbs6 ft0NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Eric TangradiRoadrunners (PHX)LW301989-02-10No226 Lbs6 ft4NoNoNo3Pro & Farm499,994$0$0$No499,994$499,994$Lien
Jamie DevaneRoadrunners (PHX)LW281991-02-20No232 Lbs6 ft5NoNoNo2Pro & Farm499,994$0$0$No499,994$Lien
Luke WitkowskiRoadrunners (PHX)RW291990-04-14No210 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Matt BartkowskiRoadrunners (PHX)D311988-06-04No198 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Michael LeightonRoadrunners (PHX)G381981-05-19No186 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLien
Mike SisloRoadrunners (PHX)RW311988-01-20No190 Lbs5 ft11NoNoNo3Pro & Farm499,994$0$0$No499,994$499,994$Lien
Ryan WhiteRoadrunners (PHX)RW311988-03-17No200 Lbs6 ft0NoNoNo1Pro & Farm498,984$0$0$NoLien
Zach TrotmanRoadrunners (PHX)D281990-08-26No217 Lbs6 ft3NoNoNo3Pro & Farm499,994$0$0$No499,994$499,994$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1628.94204 Lbs6 ft22.31518,684$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Conor ShearyMike Sislo40122
2Cole SchneiderBrad MaloneRyan White30122
3Eric TangradiBrendan WoodsLuke Witkowski20122
4Jamie DevaneAxel HolmstromConor Sheary10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian JarosZach Trotman40122
2Matt BartkowskiEric Tangradi30122
3Christian JarosZach Trotman20122
4Matt BartkowskiCole Schneider10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Conor ShearyMike Sislo60122
2Cole SchneiderBrad MaloneRyan White40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian JarosZach Trotman60122
2Matt BartkowskiEric Tangradi40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Conor ShearyCole Schneider60122
2Brad Malone40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian JarosZach Trotman60122
2Matt Bartkowski40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Conor Sheary60122Christian JarosZach Trotman60122
2Cole Schneider40122Matt Bartkowski40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Conor ShearyCole Schneider60122
2Brad Malone40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian JarosZach Trotman60122
2Matt Bartkowski40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Conor ShearyMike SisloChristian JarosZach Trotman
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Conor ShearyMike SisloChristian JarosZach Trotman
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ben Holmstrom, , Brendan WoodsBen Holmstrom, Brendan Woods
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Christian Jaros, Zach Trotman, Matt BartkowskiChristian JarosZach Trotman, Matt Bartkowski
Tirs de Pénalité
Conor Sheary, Cole Schneider, , Brad Malone, Eric Tangradi
Gardien
#1 : Michael Leighton, #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
1Barracuda512010011319-62010100068-231100001711-450.5001325380066543361025274384622912940707116318.75%23578.26%0835132563.02%621101960.94%38060562.81%1174887803243449245
2Condors53000011171162100000143132000010138590.9001730470066543361705274384622911737347630620.00%16287.50%1835132563.02%621101960.94%38060562.81%1174887803243449245
3Eagles660000002815132200000012484400000016115121.000285078006654336242527438462291494114413130723.33%29486.21%1835132563.02%621101960.94%38060562.81%1174887803243449245
4Gulls540010002613132200000010373200100016106101.00026507600665433620352743846229128477010920735.00%17476.47%0835132563.02%621101960.94%38060562.81%1174887803243449245
5Heat622002001315-241100200911-22110000044060.50013213400665433622252743846229163477910528621.43%31583.87%0835132563.02%621101960.94%38060562.81%1174887803243449245
6IceHogs2100001010732100001010730000000000041.0001017270066543369452743846229431220408225.00%9277.78%1835132563.02%621101960.94%38060562.81%1174887803243449245
7Reign550000003715222200000012663300000025916101.000376710400665433627552743846229133383812718844.44%18383.33%0835132563.02%621101960.94%38060562.81%1174887803243449245
8Stars21100000330211000003300000000000020.5003580166543362952743846229508192611327.27%6183.33%0835132563.02%621101960.94%38060562.81%1174887803243449245
Total40265023221571035420123012117247252014201111855629650.81315728043701665433614405274384622910072915317541874725.13%1672883.23%3835132563.02%621101960.94%38060562.81%1174887803243449245
10Wolves430001001055220000006242100010043170.875101525006654336103527438462299521576926519.23%18288.89%0835132563.02%621101960.94%38060562.81%1174887803243449245
_Since Last GM Reset40265023221571035420123012117247252014201111855629650.81315728043701665433614405274384622910072915317541874725.13%1672883.23%3835132563.02%621101960.94%38060562.81%1174887803243449245
_Vs Conference15102020017647296410100028171196101001483018250.8337614221800665433658052743846229390125178307541833.33%581279.31%0835132563.02%621101960.94%38060562.81%1174887803243449245

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4065SOL11572804371440100729153175401
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
402652322157103
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2012312117247
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2014211118556
Derniers 10 Matchs
WLOTWOTL SOWSOL
720001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1874725.13%1672883.23%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
527438462296654336
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
835132563.02%621101960.94%38060562.81%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1174887803243449245


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 - 2019-09-1995IceHogs4Roadrunners5WXXSommaire du Match
24 - 2019-09-25116Roadrunners8Reign3WSommaire du Match
25 - 2019-09-26130Roadrunners5Gulls3WSommaire du Match
31 - 2019-10-02150Roadrunners5Eagles4WSommaire du Match
32 - 2019-10-03165Roadrunners4Eagles3WSommaire du Match
36 - 2019-10-07178Gulls2Roadrunners7WSommaire du Match
38 - 2019-10-09189Barracuda3Roadrunners4WXSommaire du Match
39 - 2019-10-10203Barracuda5Roadrunners2LSommaire du Match
45 - 2019-10-16234Roadrunners3Heat2WSommaire du Match
46 - 2019-10-17235Roadrunners3Barracuda7LSommaire du Match
49 - 2019-10-20255Heat4Roadrunners3LXSommaire du Match
50 - 2019-10-21262Heat2Roadrunners4WSommaire du Match
53 - 2019-10-24289Roadrunners6Condors5WXXSommaire du Match
54 - 2019-10-25296Roadrunners9Reign3WSommaire du Match
61 - 2019-11-01338Roadrunners8Reign3WSommaire du Match
64 - 2019-11-04348Roadrunners5Gulls2WSommaire du Match
66 - 2019-11-06359Reign2Roadrunners4WSommaire du Match
67 - 2019-11-07374Reign4Roadrunners8WSommaire du Match
70 - 2019-11-10382Eagles3Roadrunners5WSommaire du Match
71 - 2019-11-11389Eagles1Roadrunners7WSommaire du Match
74 - 2019-11-14411Roadrunners3Wolves1WSommaire du Match
75 - 2019-11-15419Roadrunners1Wolves2LXSommaire du Match
80 - 2019-11-20448Roadrunners2Barracuda1WSommaire du Match
81 - 2019-11-21462Roadrunners2Barracuda3LXXSommaire du Match
87 - 2019-11-27485Heat3Roadrunners1LSommaire du Match
88 - 2019-11-28497Heat2Roadrunners1LXSommaire du Match
94 - 2019-12-04530Roadrunners1Heat2LSommaire du Match
95 - 2019-12-05544Roadrunners3Condors1WSommaire du Match
101 - 2019-12-11571Wolves1Roadrunners3WSommaire du Match
102 - 2019-12-12586Wolves1Roadrunners3WSommaire du Match
108 - 2019-12-18613Roadrunners4Eagles2WSommaire du Match
109 - 2019-12-19629Roadrunners3Eagles2WSommaire du Match
111 - 2019-12-21642Stars0Roadrunners2WSommaire du Match
113 - 2019-12-23651Stars3Roadrunners1LSommaire du Match
115 - 2019-12-25666Condors1Roadrunners3WSommaire du Match
116 - 2019-12-26669Condors2Roadrunners1LXXSommaire du Match
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
14 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
668,894$ 82,990$ 15,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 55,507$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 75 5,582$ 418,650$




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
14402650232215710354201230121172472520142011118556296515728043701665433614405274384622910072915317541874725.13%1672883.23%3835132563.02%621101960.94%38060562.81%1174887803243449245
Total Saison Régulière402650232215710354201230121172472520142011118556296515728043701665433614405274384622910072915317541874725.13%1672883.23%3835132563.02%621101960.94%38060562.81%1174887803243449245