Roadrunners

GP: 22 | W: 11 | L: 10 | OTL: 1 | P: 23
GF: 61 | GA: 65 | PP%: 15.20% | PK%: 87.50%
DG: Richard Boivin | Morale : 51 | Moyenne d'Équipe : 57
Prochain matchs #382 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
1Marcus KrugerX98.00735573827974807484646171557474156680
2Teddy PurcellX98.00595572678178685550555555557172155590
3Carter CamperX98.00605565686360755550555555557368159570
4Cameron Hughes (R)X100.00685578556454545550555555557473156550
5Axel Holmstrom (R)X98.00565555555859595550555555557372156550
6T.J. HensickX100.00595565635859705550555555555758156550
7Milan MichalekX100.00555555555555555550555555557374156540
8Joe ColborneX100.00565555555556565550555555556667156540
9Ryan WhiteX100.00565555555555555550555555556667155540
10Viktor StalbergX100.00565555555555555550555555557372156540
11Nikita JevpalovsX100.00565555555555555550555555555050163530
12Mark StuartX99.00555555605555555525555555557880146560
13Nikita NesterovX99.00555555605555555525555555557674159560
14Tyson StrachanX99.00555555605555745525555555556465153560
15Luke WitkowskiX100.00555555605555585525555555555353152540
Rayé
MOYENNE D'ÉQUIPE99.2758556060605962564656555655686815656
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
1Brad Thiessen98.0073686166737382737371557068148700
2Dylan Ferguson (R)100.0050506373405250514055555055143510
Rayé
MOYENNE D'ÉQUIPE99.006259627057636662576355606214661
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Weight72688787756076USA473100,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Marcus KrugerRoadrunners (PHX)C221111227240427671348815.49%640518.4145921880002403169.10%46600011.0900000320
2Teddy PurcellRoadrunners (PHX)RW2281119-431552388520699.41%745820.84336291110001382052.17%2300000.8300100111
3Viktor StalbergRoadrunners (PHX)RW2261016260251547172912.77%534115.543471888000000046.67%3000000.9400000011
4Axel HolmstromRoadrunners (PHX)LW22212140801614449404.55%135316.0917812870000181151.85%2700000.7900000010
5Carter CamperRoadrunners (PHX)C223912-21752437539415.66%225711.681124240000120160.16%24600000.9300100112
6Nikita NesterovRoadrunners (PHX)D2266122321024162781322.22%1540318.332241454000038000.00%000000.6000100012
7Milan MichalekRoadrunners (PHX)LW225510-3140192436103313.89%024411.09011624000032071.43%700000.8200000201
8Tyson StrachanRoadrunners (PHX)D223710125549171761517.65%1241318.77112855000037000.00%000000.4800010010
9T.J. HensickRoadrunners (PHX)C22459616012163272512.50%51637.4400021000021059.72%14400001.1000000002
10Luke WitkowskiRoadrunners (PHX)D221563315311554620.00%1930213.77123127000027000.00%000000.4000000000
11Matt BartkowskiPhoenix CoyotesD1215611203424339153.03%1130425.361122149000035000.00%000000.3900000001
12Joe ColborneRoadrunners (PHX)C2213426077205115.00%71768.010111130001240072.41%2900000.4500000000
13Ryan WhiteRoadrunners (PHX)C22123119589173125.88%11044.7501117000050028.57%700000.5700100000
14Cameron HughesRoadrunners (PHX)C22112-2120911186105.56%21315.97101315000060172.37%7600000.3000000000
15Nikita JevpalovsRoadrunners (PHX)C6022240922130.00%36510.96011060000120063.64%1100000.6100000000
16Mark StuartRoadrunners (PHX)D1301147511310460.00%1028521.97000245000043000.00%000000.0700001000
Stats d'équipe Total ou en Moyenne3175395148202644037232451715241610.25%106441013.9118304814370000043479464.35%106600010.67004117810
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
1Cam WardPhoenix Coyotes189900.9131.88108424343890010.0000180121
2Dylan FergusonRoadrunners (PHX)55000.9521.203000161250200.000056100
3Brad ThiessenRoadrunners (PHX)11001.0000.0060010250000.000010010
Stats d'équipe Total ou en Moyenne2415900.9261.66144426405390210.0000246231


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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Axel HolmstromRoadrunners (PHX)LW201996-06-29Yes198 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Brad ThiessenRoadrunners (PHX)G301986-03-18No180 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Cameron HughesRoadrunners (PHX)C201996-10-09Yes174 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Carter CamperRoadrunners (PHX)C281988-07-06No176 Lbs5 ft9NoNoNo4Sans RestrictionPro & Farm311,002$0$0$No311,002$311,002$311,002$
Dylan FergusonRoadrunners (PHX)G181998-09-20Yes190 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm0$0$No
Joe ColborneRoadrunners (PHX)C261990-01-30No220 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm499,999$0$0$No499,999$
Luke WitkowskiRoadrunners (PHX)D261990-04-14No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Marcus KrugerRoadrunners (PHX)C261990-05-27No186 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$No1,000,000$1,000,000$
Mark StuartRoadrunners (PHX)D321984-04-26No213 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm938,847$0$0$No938,847$
Milan MichalekRoadrunners (PHX)LW321984-12-06No216 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Nikita JevpalovsRoadrunners (PHX)C221994-09-09No207 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Nikita NesterovRoadrunners (PHX)D231993-03-27No190 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Ryan WhiteRoadrunners (PHX)C281988-03-16No201 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm498,984$0$0$No498,984$
T.J. HensickRoadrunners (PHX)C311985-12-09No190 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm498,888$0$0$No498,888$
Teddy PurcellRoadrunners (PHX)RW311985-09-07No198 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm412,149$0$0$No412,149$
Tyson StrachanRoadrunners (PHX)D321984-10-29No215 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm386,339$0$0$No
Viktor StalbergRoadrunners (PHX)RW301986-01-16No209 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm428,482$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1726.76198 Lbs6 ft12.24451,452$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Axel HolmstromMarcus KrugerTeddy Purcell40122
2Milan MichalekCarter CamperViktor Stalberg30122
3Marcus KrugerT.J. HensickTeddy Purcell20122
4Carter CamperCameron HughesAxel Holmstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita NesterovMark Stuart40122
2Tyson StrachanLuke Witkowski30122
3Nikita NesterovMark Stuart20122
4Tyson StrachanLuke Witkowski10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Axel HolmstromMarcus KrugerTeddy Purcell60122
2Milan MichalekCarter CamperViktor Stalberg40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita NesterovMark Stuart60122
2Tyson StrachanLuke Witkowski40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Marcus KrugerTeddy Purcell60122
2Carter CamperAxel Holmstrom40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita NesterovMark Stuart60122
2Tyson StrachanLuke Witkowski40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Marcus Kruger60122Nikita NesterovMark Stuart60122
2Teddy Purcell40122Tyson StrachanLuke Witkowski40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Marcus KrugerTeddy Purcell60122
2Carter CamperAxel Holmstrom40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita NesterovMark Stuart60122
2Tyson StrachanLuke Witkowski40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Axel HolmstromMarcus KrugerTeddy PurcellNikita NesterovMark Stuart
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Axel HolmstromMarcus KrugerTeddy PurcellNikita NesterovMark Stuart
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joe Colborne, Ryan White, Nikita JevpalovsJoe Colborne, Ryan WhiteNikita Jevpalovs
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nikita Nesterov, Mark Stuart, Tyson StrachanNikita NesterovMark Stuart, Tyson Strachan
Tirs de Pénalité
Marcus Kruger, Teddy Purcell, Carter Camper, Axel Holmstrom, T.J. Hensick
Gardien
#1 : Brad Thiessen, #2 : Dylan Ferguson


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Barracuda30300000618-1220200000314-111010000034-100.000611170024171916417518922981113845552229.09%20575.00%037166156.13%32862952.15%18631159.81%546392527155253126
2Condors22000000413000000000002200000041341.0004711012417191551751892298521422311218.33%80100.00%037166156.13%32862952.15%18631159.81%546392527155253126
3Eagles2110000056-1000000000002110000056-120.500591400241719147175189229852714392229.09%7185.71%037166156.13%32862952.15%18631159.81%546392527155253126
4Gulls51300100616-1020200000310-73110010036-330.3006111700241719179175189229813041779228414.29%29389.66%037166156.13%32862952.15%18631159.81%546392527155253126
5Heat30300000816-820200000410-61010000046-200.0008152300241719186175189229811729486216212.50%14192.86%037166156.13%32862952.15%18631159.81%546392527155253126
6IceHogs21000010523210000105230000000000041.0005712012417191591751892298351130297228.57%11190.91%037166156.13%32862952.15%18631159.81%546392527155253126
7Reign55000000276212200000010283300000017413101.0002749760124171912091751892298124276410818633.33%15286.67%037166156.13%32862952.15%18631159.81%546392527155253126
Total221010001106165-41036000102538-1312740010036279230.5236110917003241719159917518922986211673004161251915.20%1041387.50%037166156.13%32862952.15%18631159.81%546392527155253126
_Since Last GM Reset221010001106165-41036000102538-1312740010036279230.5236110917003241719159917518922986211673004161251915.20%1041387.50%037166156.13%32862952.15%18631159.81%546392527155253126
_Vs Conference1366001003940-1624000001626-107420010023149130.50039711100124171913521751892298365106186255681217.65%641084.38%037166156.13%32862952.15%18631159.81%546392527155253126

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2223W66110917059962116730041603
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
22101001106165
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
103600102538
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
127401003627
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1251915.20%1041387.50%0
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
17518922982417191
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
37166156.13%32862952.15%18631159.81%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
546392527155253126


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
4 - 2018-09-0823Gulls4Roadrunners3LSommaire du Match
10 - 2018-09-1442Roadrunners1Gulls2LXSommaire du Match
11 - 2018-09-1557Roadrunners2Condors1WSommaire du Match
17 - 2018-09-2181IceHogs0Roadrunners2WSommaire du Match
18 - 2018-09-2295IceHogs2Roadrunners3WXXSommaire du Match
24 - 2018-09-28116Roadrunners7Reign1WSommaire du Match
25 - 2018-09-29130Roadrunners0Gulls3LSommaire du Match
31 - 2018-10-05150Roadrunners3Eagles1WSommaire du Match
32 - 2018-10-06165Roadrunners2Eagles5LSommaire du Match
36 - 2018-10-10178Gulls6Roadrunners0LSommaire du Match
38 - 2018-10-12189Barracuda7Roadrunners2LSommaire du Match
39 - 2018-10-13203Barracuda7Roadrunners1LSommaire du Match
45 - 2018-10-19234Roadrunners4Heat6LSommaire du Match
46 - 2018-10-20235Roadrunners3Barracuda4LSommaire du Match
49 - 2018-10-23255Heat5Roadrunners1LSommaire du Match
50 - 2018-10-24262Heat5Roadrunners3LSommaire du Match
53 - 2018-10-27289Roadrunners2Condors0WSommaire du Match
54 - 2018-10-28296Roadrunners5Reign2WSommaire du Match
61 - 2018-11-04338Roadrunners5Reign1WSommaire du Match
64 - 2018-11-07348Roadrunners2Gulls1WSommaire du Match
66 - 2018-11-09359Reign2Roadrunners4WSommaire du Match
67 - 2018-11-10374Reign0Roadrunners6WSommaire du Match
70 - 2018-11-13382Eagles-Roadrunners-
71 - 2018-11-14389Eagles-Roadrunners-
74 - 2018-11-17411Roadrunners-Wolves-
75 - 2018-11-18419Roadrunners-Wolves-
80 - 2018-11-23448Roadrunners-Barracuda-
81 - 2018-11-24462Roadrunners-Barracuda-
87 - 2018-11-30485Heat-Roadrunners-
88 - 2018-12-01497Heat-Roadrunners-
94 - 2018-12-07530Roadrunners-Heat-
95 - 2018-12-08544Roadrunners-Condors-
101 - 2018-12-14571Wolves-Roadrunners-
102 - 2018-12-15586Wolves-Roadrunners-
108 - 2018-12-21613Roadrunners-Eagles-
109 - 2018-12-22629Roadrunners-Eagles-
111 - 2018-12-24642Stars-Roadrunners-
113 - 2018-12-26651Stars-Roadrunners-
115 - 2018-12-28666Condors-Roadrunners-
116 - 2018-12-29669Condors-Roadrunners-
122 - 2019-01-04693Eagles-Roadrunners-
123 - 2019-01-05709Eagles-Roadrunners-
129 - 2019-01-11730Roadrunners-IceHogs-
130 - 2019-01-12744Roadrunners-IceHogs-
133 - 2019-01-15761Roadrunners-Barracuda-
136 - 2019-01-18777Roadrunners-Stars-
137 - 2019-01-19790Roadrunners-Stars-
141 - 2019-01-23813Roadrunners-Gulls-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2019-01-26838Condors-Roadrunners-
146 - 2019-01-28846Condors-Roadrunners-
151 - 2019-02-02880Roadrunners-Eagles-
152 - 2019-02-03886Roadrunners-Eagles-
157 - 2019-02-08907Reign-Roadrunners-
158 - 2019-02-09921Reign-Roadrunners-
164 - 2019-02-15953Roadrunners-Heat-
165 - 2019-02-16965Roadrunners-Heat-
168 - 2019-02-19976Wild-Roadrunners-
169 - 2019-02-20983Wild-Roadrunners-
172 - 2019-02-231007Barracuda-Roadrunners-
173 - 2019-02-241014Barracuda-Roadrunners-
178 - 2019-03-011038Eagles-Roadrunners-
179 - 2019-03-021053Eagles-Roadrunners-
182 - 2019-03-051062Roadrunners-Wild-
183 - 2019-03-061069Roadrunners-Wild-
187 - 2019-03-101103Roadrunners-Reign-
190 - 2019-03-131111Roadrunners-Condors-
192 - 2019-03-151127Gulls-Roadrunners-
193 - 2019-03-161141Gulls-Roadrunners-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
24 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
69,196$ 76,746$ 110,320$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 34,652$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 127 911$ 115,697$




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
13221010001106165-41036000102538-1312740010036279236110917003241719159917518922986211673004161251915.20%1041387.50%037166156.13%32862952.15%18631159.81%546392527155253126
Total Saison Régulière221010001106165-41036000102538-1312740010036279236110917003241719159917518922986211673004161251915.20%1041387.50%037166156.13%32862952.15%18631159.81%546392527155253126