Roadrunners

GP: 7 | W: 3 | L: 3 | OTL: 1 | P: 7
GF: 25 | GA: 22 | PP%: 25.81% | PK%: 87.50%
DG: Richard Boivin | Morale : 49 | Moyenne d'Équipe : 61
Prochain matchs #116 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
1Conor ShearyXX100.005636916864779167596668566573703750640
2Cole SchneiderX100.006437876278918761655961596277795650630
3Dylan SikuraX100.005335946466797063546859626367645650620
4Eric TangradiX100.006838865892806557525956615478705950610
5Justin DowlingX100.005835946066837059746356595877794650610
6Brendan WoodsX100.007344685688908555575453595473675850600
7Brad MaloneX100.007538865784756556685755655378705250600
8Jamie DevaneX100.008146625396787253545152595575685750590
9Mike SisloX100.005636905670837754595553575479715450580
10Ryan WhiteX100.007144675574787254535254585479715251580
11Luke WitkowskiX100.008057655282655552555451585277694050560
12Chris CastoX100.007237885786857956305552584675685750630
13Zach TrotmanX100.006839815887796257305853654577694850630
14Christian JarosX100.008044855984777458306653624865635650630
15Matt BartkowskiX100.005736906277817160305860594879714650620
Rayé
1Axel HolmstromX100.006135945874928956635554575965636243590
2Ben HolmstromX100.006438865478837752575351565280725343580
3Cameron HughesX100.005337875954908458615756525765636243580
4Linus Olund (R)X100.005735945571928854565352534963626343570
MOYENNE D'ÉQUIPE100.00663984587782755753585559547469534960
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 Leighton100.00717068817069717069717088922543710
MOYENNE D'ÉQUIPE100.0071706881706971706971708892254371
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
1Conor ShearyRoadrunners (PHX)LW/RW74610020151130123213.33%115922.761234260000200055.56%5400001.2600000201
2Dylan SikuraRoadrunners (PHX)RW746100209103562111.43%114320.441341127000060150.00%1200001.4000000011
3Cole SchneiderRoadrunners (PHX)LW7257-220610273237.41%214320.460334241012220060.00%1000000.9800000000
4Justin DowlingRoadrunners (PHX)C7516-200213235921.74%012017.19202724000022065.55%11900001.0000000100
5Christian JarosRoadrunners (PHX)D7066-21402176450.00%717525.02022421000010000.00%000000.6900000000
6Chris CastoRoadrunners (PHX)D714506018393411.11%918426.34112526000015000.00%000000.5400000000
7Matt BartkowskiRoadrunners (PHX)D705520066115100.00%917625.16000623011114000.00%000000.5700000000
8Jamie DevaneRoadrunners (PHX)LW72243606560033.33%2557.96000000000000100.00%100001.4300000011
9Zach TrotmanRoadrunners (PHX)D7134-410065103510.00%1418025.74123721000014000.00%000000.4400000000
10Ryan WhiteRoadrunners (PHX)RW7224-1115661711011.76%111416.43112224000000160.00%1000000.7000001010
11Brendan WoodsRoadrunners (PHX)C7123-440131012498.33%612718.22101250110130061.11%7200000.4700000000
12Brad MaloneRoadrunners (PHX)C712330036103410.00%2557.9700000000001057.69%5200001.0800000001
13Luke WitkowskiRoadrunners (PHX)RW72133203330866.67%0557.9100000000000066.67%300001.0800000000
14Eric TangradiRoadrunners (PHX)LW7000-300421011150.00%28111.58000000001100033.33%300000.0000000000
15Mike SisloRoadrunners (PHX)RW7000-3002343120.00%0689.8500000000000066.67%300000.0000000000
Stats d'équipe Total ou en Moyenne105254570-105951201002136316711.74%56184117.54814225222612341323260.77%33900000.7600001334
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
Chris CastoRoadrunners (PHX)D271991-12-27No215 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm499,994$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
2027.95199 Lbs6 ft12.40494,946$



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
2Chris CastoMatt Bartkowski30122
3Zach TrotmanChristian Jaros20122
4Chris CastoMatt 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
2Chris CastoMatt 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
2Chris CastoMatt Bartkowski40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Conor Sheary60122Zach TrotmanChristian Jaros60122
2Cole Schneider40122Chris CastoMatt 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
2Chris CastoMatt 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, Chris CastoZach TrotmanChristian Jaros, Chris Casto
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
1Barracuda1010000023-1000000000001010000023-100.000246001185120706872319114126116.67%20100.00%114023459.83%7715350.33%5110150.50%198146138438544
2Bruins1010000026-4000000000001010000026-400.000246001185121706872333915153266.67%5180.00%014023459.83%7715350.33%5110150.50%198146138438544
3Monsters1010000023-11010000023-10000000000000.000246001185129706872322510158112.50%30100.00%014023459.83%7715350.33%5110150.50%198146138438544
4Moose1000010023-11000010023-10000000000010.50024600118513270687232778165120.00%3166.67%014023459.83%7715350.33%5110150.50%198146138438544
5Reign220000001459110000006151100000084441.0001426400011851907068723481714528337.50%70100.00%014023459.83%7715350.33%5110150.50%198146138438544
6Sound Tigers10001000321000000000001000100032121.0003580011851217068723247814100.00%4175.00%014023459.83%7715350.33%5110150.50%198146138438544
Total7230110025223311001001073412010001515070.50025477200118512137068723173565912431825.81%24387.50%114023459.83%7715350.33%5110150.50%198146138438544
_Since Last GM Reset7230110025223311001001073412010001515070.50025477200118512137068723173565912431825.81%24387.50%114023459.83%7715350.33%5110150.50%198146138438544
_Vs Conference7230110025223311001001073412010001515070.50025477200118512137068723173565912431825.81%24387.50%114023459.83%7715350.33%5110150.50%198146138438544

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
77L1254772213173565912400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
72311002522
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3110100107
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41210001515
Derniers 10 Matchs
WLOTWOTL SOWSOL
231100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
31825.81%24387.50%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
706872311851
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
14023459.83%7715350.33%5110150.50%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
198146138438544


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
2 - 2019-09-039Roadrunners3Sound Tigers2WXSommaire du Match
3 - 2019-09-0427Moose3Roadrunners2LXSommaire du Match
6 - 2019-09-0747Roadrunners2Bruins6LSommaire du Match
7 - 2019-09-0857Reign1Roadrunners6WSommaire du Match
9 - 2019-09-1072Monsters3Roadrunners2LSommaire du Match
12 - 2019-09-1392Roadrunners8Reign4WSommaire du Match
13 - 2019-09-14103Roadrunners2Barracuda3LSommaire du Match
15 - 2019-09-16116Barracuda-Roadrunners-
17 - 2019-09-18133Roadrunners-Moose-
19 - 2019-09-20152Bruins-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
0$ 98,990$ 15,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 7 0$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT