Roadrunners

GP: 64 | W: 42 | L: 13 | OTL: 9 | P: 93
GF: 232 | GA: 160 | PP%: 21.99% | PK%: 83.72%
DG: Richard Boivin | Morale : 73 | Moyenne d'Équipe : 62
Prochain matchs #1103 vs Reign
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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
1Matthew TkachukX100.007754697881839376537881567963648878710
2Conor ShearyXX100.005636916864779167596668566573703778640
3Brad MaloneX100.007538865784756556685755655378705278610
4Eric TangradiX100.006838865892806557525956615478705978610
5Brendan WoodsX100.007344685688908555575453595473675878600
6Axel HolmstromX100.006135945874928956635554575965636239590
7Jamie DevaneX100.008146625396787253545152595575685778590
8Ben HolmstromX100.006438865478837752575351565280725339580
9Mike SisloX100.005636905670837754595553575479715478580
10Ryan WhiteX100.007144675574787254535254585479715278580
11Luke WitkowskiX100.008057655282655552555451585277694078570
12Christian JarosX100.008044855984777458306653624865635678640
13Zach TrotmanX100.006839815887796257305853654577694878630
14Matt BartkowskiX100.005736906277817160305860594879714671620
Rayé
1Cole SchneiderX100.006437876278918761655961596277795663630
2Chris CastoX100.007237885786857956305552584675685757630
MOYENNE D'ÉQUIPE100.00694181598181765851585759557569557061
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 Leighton100.00717068817069717069717088922549710
Rayé
MOYENNE D'ÉQUIPE100.0071706881706971706971708892254971
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/RW64423880252601061293619426111.63%15158124.709162560228011112177460.59%47700031.01380001334
2Cole SchneiderRoadrunners (PHX)LW5423426523562058722227414810.36%37126023.349132249173112122002175.00%8000011.0316121435
3Matt BartkowskiRoadrunners (PHX)D596485412540755212345844.88%75153526.0241115601911124172010.00%000000.7000000144
4Zach TrotmanRoadrunners (PHX)D64134154182408766119496210.92%70163425.5461218612190003172210.00%000000.6600000135
5Ryan WhiteRoadrunners (PHX)RW64153449187620121451484512010.14%7107216.766121836205000003060.94%6400000.9100121215
6Eric TangradiRoadrunners (PHX)LW641729461853575471544512711.04%24121418.9747113613610151041053.49%4300000.7612100434
7Christian JarosRoadrunners (PHX)D641330431689151675793275913.98%62163025.479312542110000161410.00%000000.5300102454
8Mike SisloRoadrunners (PHX)RW641722391835547461353511112.59%999715.59549241520000117257.50%8000010.7800001221
9Brendan WoodsRoadrunners (PHX)C64221638108620109871434710015.38%25104416.3213411641013864164.98%75100000.7300103242
10Brad MaloneRoadrunners (PHX)C64132336123205884175511067.43%1295714.961910211380004692165.15%92400000.7513000230
11Jamie DevaneRoadrunners (PHX)LW6459146661073207819476.41%105558.680002170001180064.71%3400000.5002011022
12Ben HolmstromRoadrunners (PHX)C4258132120171942124011.90%1361014.531123230111292060.96%14600000.4300000111
13Luke WitkowskiRoadrunners (PHX)RW6448122542065378824774.55%76119.5500000000000059.38%3200000.3900121000
14Axel HolmstromRoadrunners (PHX)C4253876043036102113.89%73488.29000070000121064.01%28900000.4602000011
15Logan ShawPhoenix CoyotesC/RW9358210023122462612.50%321824.221239320111491068.37%21500000.7302000101
16Matthew TkachukRoadrunners (PHX)LW52354601316971322.22%012725.480001140000170043.75%4800000.7801000100
17Chris CastoRoadrunners (PHX)D1000-100003010.00%02323.100001400002000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne85220535956419268511510988191953590140310.50%3761542118.1056931494281820459451325361263.78%318300050.736266710383539
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)3923880.9221.80237144719050200.63622390154
Stats d'équipe Total ou en Moyenne3923880.9221.80237144719050200.63622390154


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
Chris CastoRoadrunners (PHX)D271991-12-27No215 Lbs6 ft3NoNoNo3Pro & Farm499,994$0$0$No499,994$499,994$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
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
Matthew TkachukRoadrunners (PHX)LW211997-12-11No202 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$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
1728.47205 Lbs6 ft22.24552,878$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matthew TkachukBrad MaloneConor Sheary40122
2Eric TangradiBrendan WoodsRyan White30122
3Jamie DevaneAxel HolmstromMike Sislo20122
4Matthew TkachukBen HolmstromLuke Witkowski10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian JarosZach Trotman40122
2Matt BartkowskiJamie Devane30122
3Christian JarosZach Trotman20122
4Matt BartkowskiConor Sheary10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matthew TkachukBrad MaloneConor Sheary60122
2Eric TangradiBrendan WoodsRyan White40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian JarosZach Trotman60122
2Matt BartkowskiJamie Devane40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matthew TkachukConor Sheary60122
2Eric TangradiBrad Malone40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian JarosZach Trotman60122
2Matt Bartkowski40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Matthew Tkachuk60122Christian JarosZach Trotman60122
2Conor Sheary40122Matt Bartkowski40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matthew TkachukConor Sheary60122
2Eric TangradiBrad Malone40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian JarosZach Trotman60122
2Matt Bartkowski40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matthew TkachukBrad MaloneConor ShearyChristian JarosZach Trotman
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matthew TkachukBrad MaloneConor ShearyChristian JarosZach Trotman
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Axel Holmstrom, Ben Holmstrom, Mike SisloAxel Holmstrom, Ben HolmstromMike Sislo
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Christian Jaros, Zach Trotman, Matt BartkowskiChristian JarosZach Trotman, Matt Bartkowski
Tirs de Pénalité
Matthew Tkachuk, Conor Sheary, Eric Tangradi, Brad Malone, Brendan Woods
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
1Barracuda814010021629-1340301000816-841100002813-560.3751631470091835310175772679717582105511213630413.33%36780.56%01307208962.57%1013167960.33%58996161.29%188214121272395735402
2Condors741000112115642100001871320000101385110.786213859009183531021677267971758148414611743716.28%22481.82%11307208962.57%1013167960.33%58996161.29%188214121272395735402
3Eagles12111000006228346510000034102466000000281810220.9176211517701918353104737726797175828074179239511529.41%44686.36%21307208962.57%1013167960.33%58996161.29%188214121272395735402
4Gulls640011002816122200000010374200110018135110.917285482009183531022877267971758148557612724729.17%20480.00%01307208962.57%1013167960.33%58996161.29%188214121272395735402
5Heat832002101818041100200911-242100010972100.625182745009183531031177267971758214539815136822.22%37683.78%01307208962.57%1013167960.33%58996161.29%188214121272395735402
6IceHogs4300001021111021000010107322000000114781.0002136570091835310194772679717589518308513323.08%14285.71%11307208962.57%1013167960.33%58996161.29%188214121272395735402
7Reign76100000461927431000002110113300000025916120.8574683129019183531037577267971758180475216525936.00%24387.50%01307208962.57%1013167960.33%58996161.29%188214121272395735402
8Stars4120000168-2211000003302010000135-230.375610160191835310657726797175810422515619421.05%19289.47%01307208962.57%1013167960.33%58996161.29%188214121272395735402
Total643713024352321607232171001211109763332203012241238439930.7272324166480491835310219577267971758155741276312132826221.99%2584283.72%41307208962.57%1013167960.33%58996161.29%188214121272395735402
10Wild41200001411-72020000007-72100000144030.375471101918353105577267971758832662681500.00%24675.00%01307208962.57%1013167960.33%58996161.29%188214121272395735402
11Wolves430001001055220000006242100010043170.8751015250091835310103772679717589521576926519.23%18288.89%01307208962.57%1013167960.33%58996161.29%188214121272395735402
_Since Last GM Reset643713024352321607232171001211109763332203012241238439930.7272324166480491835310219577267971758155741276312132826221.99%2584283.72%41307208962.57%1013167960.33%58996161.29%188214121272395735402
_Vs Conference2111502102906426105401000392910116101102513516290.69090168258019183531077877267971758538157240428792025.32%801482.50%01307208962.57%1013167960.33%58996161.29%188214121272395735402

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6493SOL123241664821951557412763121304
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6437132435232160
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321710121110976
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
32203122412384
Derniers 10 Matchs
WLOTWOTL SOWSOL
350011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2826221.99%2584283.72%4
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
7726797175891835310
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
1307208962.57%1013167960.33%58996161.29%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
188214121272395735402


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 - 2020-01-01693Eagles1Roadrunners5WSommaire du Match
123 - 2020-01-02709Eagles2Roadrunners7WSommaire du Match
129 - 2020-01-08730Roadrunners5IceHogs2WSommaire du Match
130 - 2020-01-09744Roadrunners6IceHogs2WSommaire du Match
133 - 2020-01-12761Roadrunners1Barracuda2LXXSommaire du Match
136 - 2020-01-15777Roadrunners1Stars2LXXSommaire du Match
137 - 2020-01-16790Roadrunners2Stars3LSommaire du Match
141 - 2020-01-20813Roadrunners2Gulls3LXSommaire du Match
144 - 2020-01-23838Condors3Roadrunners1LSommaire du Match
146 - 2020-01-25846Condors1Roadrunners3WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-30880Roadrunners7Eagles3WSommaire du Match
152 - 2020-01-31886Roadrunners5Eagles4WSommaire du Match
157 - 2020-02-05907Reign0Roadrunners6WSommaire du Match
158 - 2020-02-06921Reign4Roadrunners3LSommaire du Match
164 - 2020-02-12953Roadrunners3Heat2WSommaire du Match
165 - 2020-02-13965Roadrunners2Heat1WXXSommaire du Match
168 - 2020-02-16976Wild2Roadrunners0LSommaire du Match
169 - 2020-02-17983Wild5Roadrunners0LSommaire du Match
172 - 2020-02-201007Barracuda5Roadrunners0LSommaire du Match
173 - 2020-02-211014Barracuda3Roadrunners2LSommaire du Match
178 - 2020-02-261038Eagles3Roadrunners2LSommaire du Match
179 - 2020-02-271053Eagles0Roadrunners8WSommaire du Match
182 - 2020-03-011062Roadrunners1Wild0WSommaire du Match
183 - 2020-03-021069Roadrunners3Wild4LXXSommaire du Match
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
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,043,672$ 93,990$ 15,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 84,926$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 8 5,639$ 45,112$




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
14643713024352321607232171001211109763332203012241238439932324166480491835310219577267971758155741276312132826221.99%2584283.72%41307208962.57%1013167960.33%58996161.29%188214121272395735402
Total Saison Régulière643713024352321607232171001211109763332203012241238439932324166480491835310219577267971758155741276312132826221.99%2584283.72%41307208962.57%1013167960.33%58996161.29%188214121272395735402