TUSCON Roadrunners

GP: 9 | W: 1 | L: 6 | OTL: 2 | P: 4
GF: 12 | GA: 25 | PP%: 12.50% | PK%: 80.00%
DG: | Morale : 98 | Moyenne d'Équipe : 65
Prochain matchs #117 vs BRIDGEPORT Sound Tigers
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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
1Glenn Gawdin0X100.006251855976868858746258605965635998670
2Nolan Stevens0X100.006245886180858360675956626167645798670
3Lucas Elvenes (R)0X100.005643876672868764716556576461637298670
4Beck Malenstyn (R)0X100.006448885983817956525758615663625698660
5Kieffer Bellows (R)0X100.006350846176838059525760586163658398660
6Adam Brooks0X100.005741896267767561576060586367646198650
7German Rubtsov0X100.006342876276737863705959616563618297650
8Mitch Hults10X100.006842855782737259655852565771665998640
9Ryan Kuffner0X100.006239865975737156525758605967646298640
10Sheldon Rempal0X100.005543896163767459556058575969655698640
11Graham Knott75X100.006746885683767854515352575665637099630
12Martin Pospisil (R)0X100.006254715875777457525654595861636298630
13Deven Sideroff0X100.005339875867777656525553575465636498620
14Ivan Chekhovich (R)0X100.005238885860797857515654555361626499610
15Fredrik Claesson44X100.006543856077827858305957625175685396670
16Alex Alexeyev (R)0X100.007347895888868756305753594661627897670
17Jacob Larsson0X100.006242876478827963306257655265628098670
18Andreas Borgman0X100.006251835974838458305753554669656097650
19Jalen Chatfield0X100.006042885675807954305350554667646198620
20Josh Teves0X100.005244845468747352305150534569655898600
Rayé
MOYENNE D'ÉQUIPE100.00614586597579795850585558566664659865
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
1Keith Kinkaid100.00737674817271737271737279855496680
2Mikhail Berdin (R)100.00758280737473757473757463676498670
3Felix Sandstrom (R)100.00755250797473757473757465696698650
Rayé
1Evan Cormier (R)100.00636260836261636261636265696198590
MOYENNE D'ÉQUIPE100.0072686679717072717072716873619865
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sylvain Lefebvre67676767757564CAN532300,000$


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
1Beck MalenstynTUSCON Roadrunners (ARZ)RW9336-480177359218.57%116318.22022430000000028.57%700100.7300000000
2Alex AlexeyevTUSCON Roadrunners (ARZ)D9055-110021811880.00%1321924.44011528000030000.00%000000.4500000001
3Fredrik ClaessonTUSCON Roadrunners (ARZ)D9044-380165178110.00%2622024.520111128000028000.00%000000.3600000000
4Jacob LarssonTUSCON Roadrunners (ARZ)D9314-68012191961215.79%1518420.493031425000029100.00%000000.4300000100
5Martin PospisilTUSCON Roadrunners (ARZ)LW922434088152513.33%29410.4600000000000075.00%400000.8500000010
6Jalen ChatfieldTUSCON Roadrunners (ARZ)D90330401267010.00%913214.670001300002000.00%000000.4500000000
7Kieffer BellowsTUSCON Roadrunners (ARZ)LW9213-580147349225.88%116518.38101931000010070.00%1000000.3600000010
8Andreas BorgmanTUSCON Roadrunners (ARZ)D9022-66012711530.00%618320.43022525000028000.00%000000.2200000000
9Nolan StevensTUSCON Roadrunners (ARZ)C92023204171451214.29%211612.91000000000210057.04%14200000.3400000000
10Josh TevesTUSCON Roadrunners (ARZ)D9011020743710.00%814215.8600002000014000.00%000000.1400000000
11Ryan KuffnerTUSCON Roadrunners (ARZ)LW9011-580139169150.00%112914.42011325000000057.14%700000.1500000000
12Lucas ElvenesTUSCON Roadrunners (ARZ)C9011-540617246110.00%416918.850113250000380049.49%19600000.1200000000
13Deven SideroffTUSCON Roadrunners (ARZ)RW90003004611020.00%19410.460000000000000.00%000000.0000000000
14German RubtsovTUSCON Roadrunners (ARZ)C9000000000000.00%040.530000000004000.00%000000.0000000000
15Glenn GawdinTUSCON Roadrunners (ARZ)C9000-12011201710120.00%010211.44000000000210059.77%8700000.0000000000
16Sheldon RempalTUSCON Roadrunners (ARZ)RW9000-52069223120.00%212914.43000425000000050.00%800000.0000000000
Stats d'équipe Total ou en Moyenne144122436-32760163149256871484.69%91225415.6648125925100002221054.23%46100100.3200000121
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
1Keith KinkaidTUSCON Roadrunners (ARZ)91620.9252.7654360253330000.000090110
Stats d'équipe Total ou en Moyenne91620.9252.7654360253330000.000090110


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 Salaire RestantSalaire MoyenSalaire Moyen RestantCap 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
Adam BrooksTUSCON Roadrunners (ARZ)C241996-05-06No84 Kg178 CMNoNoNo1Pro & Farm750,000$674,311$750,000$674,311$0$0$NoLien
Alex AlexeyevTUSCON Roadrunners (ARZ)D201999-11-15Yes95 Kg193 CMNoNoNo4Pro & Farm750,000$674,311$750,000$674,311$0$0$No750,000$750,000$750,000$
Andreas BorgmanTUSCON Roadrunners (ARZ)D251995-06-18No90 Kg183 CMNoNoNo3Pro & Farm750,000$674,311$750,000$674,311$0$0$No750,000$750,000$Lien
Beck MalenstynTUSCON Roadrunners (ARZ)RW221998-02-04Yes91 Kg191 CMNoNoNo4Pro & Farm750,000$674,311$750,000$674,311$0$0$No750,000$750,000$750,000$
Deven SideroffTUSCON Roadrunners (ARZ)RW231997-04-14No78 Kg180 CMNoNoNo1Pro & Farm750,000$674,311$750,000$674,311$0$0$NoLien
Evan CormierTUSCON Roadrunners (ARZ)G221997-11-06Yes91 Kg191 CMNoNoNo4Pro & Farm750,000$674,311$750,000$674,311$0$0$No750,000$750,000$750,000$
Felix SandstromTUSCON Roadrunners (ARZ)G231997-01-12Yes87 Kg188 CMNoNoNo4Pro & Farm750,000$674,311$750,000$674,311$0$0$No750,000$750,000$750,000$
Fredrik ClaessonTUSCON Roadrunners (ARZ)D271992-11-24No89 Kg185 CMNoNoNo2Pro & Farm750,000$674,311$750,000$674,311$0$0$No750,000$Lien
German RubtsovTUSCON Roadrunners (ARZ)C221998-06-27No81 Kg188 CMNoNoNo1Pro & Farm750,000$674,311$750,000$674,311$0$0$NoLien
Glenn GawdinTUSCON Roadrunners (ARZ)C231997-03-25No87 Kg185 CMNoNoNo1Pro & Farm750,000$674,311$750,000$674,311$0$0$NoLien
Graham KnottTUSCON Roadrunners (ARZ)C231997-01-13No90 Kg191 CMNoNoNo1Pro & Farm750,000$674,311$750,000$674,311$0$0$NoLien
Ivan ChekhovichTUSCON Roadrunners (ARZ)LW211999-01-04Yes84 Kg155 CMNoNoNo4Pro & Farm750,000$674,311$750,000$674,311$0$0$No750,000$750,000$750,000$
Jacob LarssonTUSCON Roadrunners (ARZ)D231997-04-29No86 Kg188 CMNoNoNo1Pro & Farm750,000$674,311$750,000$674,311$0$0$NoLien
Jalen ChatfieldTUSCON Roadrunners (ARZ)D241996-05-16No85 Kg185 CMNoNoNo1Pro & Farm750,000$674,311$750,000$674,311$0$0$NoLien
Josh TevesTUSCON Roadrunners (ARZ)D251995-02-18No77 Kg183 CMNoNoNo1Pro & Farm750,000$674,311$750,000$674,311$0$0$NoLien
Keith KinkaidTUSCON Roadrunners (ARZ)G311989-07-04No85 Kg191 CMNoNoNo2Pro & Farm1,750,000$1,573,394$1,750,000$1,573,394$0$0$No1,750,000$Lien
Kieffer BellowsTUSCON Roadrunners (ARZ)LW221998-06-10Yes89 Kg185 CMNoNoNo4Pro & Farm750,000$674,311$750,000$674,311$0$0$No750,000$750,000$750,000$
Lucas ElvenesTUSCON Roadrunners (ARZ)C211999-08-18Yes79 Kg185 CMNoNoNo4Pro & Farm750,000$674,311$750,000$674,311$0$0$No750,000$750,000$750,000$
Martin PospisilTUSCON Roadrunners (ARZ)LW201999-11-19Yes79 Kg188 CMNoNoNo4Pro & Farm750,000$674,311$750,000$674,311$0$0$No750,000$750,000$750,000$
Mikhail BerdinTUSCON Roadrunners (ARZ)G221998-03-01Yes74 Kg188 CMNoNoNo1Pro & Farm750,000$674,311$750,000$674,311$0$0$No
Mitch HultsTUSCON Roadrunners (ARZ)C241995-11-13No95 Kg188 CMNoNoNo2Pro & Farm850,000$764,220$850,000$764,220$0$0$No850,000$Lien
Nolan StevensTUSCON Roadrunners (ARZ)C241996-07-22No83 Kg191 CMNoNoNo1Pro & Farm750,000$674,311$750,000$674,311$0$0$NoLien
Ryan KuffnerTUSCON Roadrunners (ARZ)LW241996-06-12No85 Kg185 CMNoNoNo1Pro & Farm750,000$674,311$750,000$674,311$0$0$NoLien
Sheldon RempalTUSCON Roadrunners (ARZ)RW251995-08-07No75 Kg178 CMNoNoNo1Pro & Farm750,000$674,311$750,000$674,311$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2423.3385 Kg185 CM2.21795,833$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kieffer BellowsBeck Malenstyn31122
2Ryan KuffnerLucas ElvenesSheldon Rempal26122
3Martin PospisilNolan StevensDeven Sideroff23122
4Glenn Gawdin20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonAlex Alexeyev31122
2Jacob LarssonAndreas Borgman26122
3Jalen ChatfieldJosh Teves23122
4Fredrik ClaessonAlex Alexeyev20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kieffer BellowsBeck Malenstyn55122
2Ryan KuffnerLucas ElvenesSheldon Rempal45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonAlex Alexeyev55122
2Jacob LarssonAndreas Borgman45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Lucas Elvenes55122
2Nolan StevensGlenn Gawdin45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonAlex Alexeyev55122
2Jacob LarssonAndreas Borgman45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Fredrik ClaessonAlex Alexeyev55122
2Lucas Elvenes45122Jacob LarssonAndreas Borgman45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Lucas Elvenes55122
2Nolan StevensGlenn Gawdin45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonAlex Alexeyev55122
2Jacob LarssonAndreas Borgman45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kieffer BellowsBeck MalenstynFredrik ClaessonAlex Alexeyev
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kieffer BellowsBeck MalenstynFredrik ClaessonAlex Alexeyev
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Adam Brooks, German Rubtsov, Adam BrooksGerman Rubtsov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jalen Chatfield, Josh Teves, Jacob LarssonJalen ChatfieldJosh Teves, Jacob Larsson
Tirs de Pénalité
, Lucas Elvenes, Nolan Stevens, Glenn Gawdin, Kieffer Bellows
Gardien
#1 : Keith Kinkaid, #2 : , #3 : Felix Sandstrom
Lignes d'Attaque Perso. en Prol.
, Lucas Elvenes, Nolan Stevens, Glenn Gawdin, Kieffer Bellows, Beck Malenstyn, Beck Malenstyn, , Adam Brooks, German Rubtsov, Mitch Hults
Lignes de Défense Perso. en Prol.
Fredrik Claesson, Alex Alexeyev, Jacob Larsson, Andreas Borgman, Jalen Chatfield


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
1COLORADO Eagles1010000002-2000000000001010000002-200.0000000054302096847603113813100.00%4175.00%011127440.51%12735136.18%4310540.95%2011402356410752
2HOLLYWOOD Oscar1010000024-21010000024-20000000000000.00024600543027968476036136146233.33%30100.00%011127440.51%12735136.18%4310540.95%2011402356410752
3LAVAL Rockets1010000001-11010000001-10000000000000.00000000543018968476040131419400.00%7185.71%011127440.51%12735136.18%4310540.95%2011402356410752
4LEHIGH VALLEY Phantoms1000010034-11000010034-10000000000010.500369005430429684760531110232150.00%50100.00%011127440.51%12735136.18%4310540.95%2011402356410752
5MILWAUKEE Admirals1000010023-1000000000001000010023-110.500246005430319684760309816200.00%4250.00%011127440.51%12735136.18%4310540.95%2011402356410752
6PV Sharapovas1010000013-2000000000001010000013-200.000123005430249684760306820700.00%4250.00%011127440.51%12735136.18%4310540.95%2011402356410752
7ROCKFORD IceHogs1010000004-4000000000001010000004-400.000000005430279684760487419400.00%10100.00%011127440.51%12735136.18%4310540.95%2011402356410752
8STOCKTON Flames1010000002-21010000002-20000000000000.00000000543019968476038131019300.00%5180.00%011127440.51%12735136.18%4310540.95%2011402356410752
Total916002001225-1340300100511-651300100714-740.2221224360054302569684760333918216332412.50%40880.00%011127440.51%12735136.18%4310540.95%2011402356410752
10WILKIES-BARRIE Penguins11000000422000000000001100000042221.000481200543048968476027614203133.33%7185.71%011127440.51%12735136.18%4310540.95%2011402356410752
_Since Last GM Reset916002001225-1340300100511-651300100714-740.2221224360054302569684760333918216332412.50%40880.00%011127440.51%12735136.18%4310540.95%2011402356410752
_Vs Conference40300100210-81010000001-13020010029-710.1252460054309696847601494234671100.00%16475.00%011127440.51%12735136.18%4310540.95%2011402356410752
_Vs Division2000000026-42000000026-40000000000000.000246005430469684760742616339222.22%8187.50%011127440.51%12735136.18%4310540.95%2011402356410752

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
94OTL2122436256333918216300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
91602001225
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4030100511
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
5130100714
Derniers 10 Matchs
WLOTWOTL SOWSOL
160200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
32412.50%40880.00%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
96847605430
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
11127440.51%12735136.18%4310540.95%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2011402356410752


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
1 - 2020-08-026HOLLYWOOD Oscar4TUSCON Roadrunners2LSommaire du Match
2 - 2020-08-0324TUSCON Roadrunners4WILKIES-BARRIE Penguins2WSommaire du Match
4 - 2020-08-0538LAVAL Rockets1TUSCON Roadrunners0LSommaire du Match
5 - 2020-08-0641TUSCON Roadrunners0ROCKFORD IceHogs4LSommaire du Match
6 - 2020-08-0751TUSCON Roadrunners1PV Sharapovas3LSommaire du Match
7 - 2020-08-0865TUSCON Roadrunners0COLORADO Eagles2LSommaire du Match
8 - 2020-08-0975STOCKTON Flames2TUSCON Roadrunners0LSommaire du Match
10 - 2020-08-1190TUSCON Roadrunners2MILWAUKEE Admirals3LXSommaire du Match
11 - 2020-08-1298LEHIGH VALLEY Phantoms4TUSCON Roadrunners3LXR3Sommaire du Match
12 - 2020-08-13117TUSCON Roadrunners-BRIDGEPORT Sound Tigers-
13 - 2020-08-14128PROVIDENCE Bruins-TUSCON Roadrunners-R3
15 - 2020-08-16143VICTORIAVILLE Tigres-TUSCON Roadrunners-
17 - 2020-08-18164TUSCON Roadrunners-MONT-LAURIER Sommet-R3
18 - 2020-08-19175Marlies de Toronto-TUSCON Roadrunners-
20 - 2020-08-21192HERSEY Bears-TUSCON Roadrunners-R3
21 - 2020-08-22204TUSCON Roadrunners-PV Sharapovas-
22 - 2020-08-23216PROVIDENCE Bruins-TUSCON Roadrunners-R3
24 - 2020-08-25236TUSCON Roadrunners-CHICAGO Wolves-
25 - 2020-08-26243SAN DIEGO Gulls-TUSCON Roadrunners-R3
26 - 2020-08-27262ROCKFORD IceHogs-TUSCON Roadrunners-
27 - 2020-08-28271TUSCON Roadrunners-UTICA Comets-R3
29 - 2020-08-30280TUSCON Roadrunners-ROCKFORD IceHogs-
30 - 2020-08-31294TUSCON Roadrunners-BELLEVILLE Senators-R3
31 - 2020-09-01305MILWAUKEE Admirals-TUSCON Roadrunners-
33 - 2020-09-03316TUSCON Roadrunners-Quebec Nordiques-R3
34 - 2020-09-04329BELLEVILLE Senators-TUSCON Roadrunners-
36 - 2020-09-06350HERSEY Bears-TUSCON Roadrunners-R3
37 - 2020-09-07362TUSCON Roadrunners-SAN DIEGO Gulls-
38 - 2020-09-08369TUSCON Roadrunners-Binghampton Devils-R3
39 - 2020-09-09381Binghampton Devils-TUSCON Roadrunners-
41 - 2020-09-11398PV Sharapovas-TUSCON Roadrunners-R3
43 - 2020-09-13416TUSCON Roadrunners-HOLLYWOOD Oscar-
44 - 2020-09-14424TUSCON Roadrunners-LAVAL Rockets-R3
45 - 2020-09-15434BELLEVILLE Senators-TUSCON Roadrunners-
46 - 2020-09-16448Manitoba Moose-TUSCON Roadrunners-R3
48 - 2020-09-18464TUSCON Roadrunners-STOCKTON Flames-
49 - 2020-09-19471TUSCON Roadrunners-IOWA Wild-R3
50 - 2020-09-20485STOCKTON Flames-TUSCON Roadrunners-
51 - 2020-09-21498TUSCON Roadrunners-WILKIES-BARRIE Penguins-R3
52 - 2020-09-22508TUSCON Roadrunners-MONT-LAURIER Sommet-
53 - 2020-09-23518LAVAL Rockets-TUSCON Roadrunners-R3
55 - 2020-09-25534CHICAGO Wolves-TUSCON Roadrunners-
56 - 2020-09-26546TUSCON Roadrunners-PROVIDENCE Bruins-R3
57 - 2020-09-27559TUSCON Roadrunners-BRIDGEPORT Sound Tigers-
58 - 2020-09-28569Binghampton Devils-TUSCON Roadrunners-R3
60 - 2020-09-30588WILKIES-BARRIE Penguins-TUSCON Roadrunners-
61 - 2020-10-01603TUSCON Roadrunners-BROOKLYN Wolfpack-R3
62 - 2020-10-02613TUSCON Roadrunners-VICTORIAVILLE Tigres-
63 - 2020-10-03621SAN DIEGO Gulls-TUSCON Roadrunners-R3
65 - 2020-10-05638CHICAGO Wolves-TUSCON Roadrunners-
66 - 2020-10-06654TUSCON Roadrunners-BROOKLYN Wolfpack-R3
67 - 2020-10-07665BROOKLYN Wolfpack-TUSCON Roadrunners-
69 - 2020-10-09683MONT-LAURIER Sommet-TUSCON Roadrunners-R3
70 - 2020-10-10688TUSCON Roadrunners-Marlies de Toronto-
72 - 2020-10-12709TUSCON Roadrunners-LEHIGH VALLEY Phantoms-R3
73 - 2020-10-13718BRIDGEPORT Sound Tigers-TUSCON Roadrunners-
74 - 2020-10-14735COLORADO Eagles-TUSCON Roadrunners-R3
76 - 2020-10-16746TUSCON Roadrunners-COLORADO Eagles-
77 - 2020-10-17754TUSCON Roadrunners-Manitoba Moose-R3
78 - 2020-10-18767Quebec Nordiques-TUSCON Roadrunners-
80 - 2020-10-20784TUSCON Roadrunners-ROCKFORD IceHogs-R3
81 - 2020-10-21796Marlies de Toronto-TUSCON Roadrunners-
82 - 2020-10-22807TUSCON Roadrunners-MILWAUKEE Admirals-R3
83 - 2020-10-23821HOLLYWOOD Oscar-TUSCON Roadrunners-
84 - 2020-10-24834TUSCON Roadrunners-UTICA Comets-R3
86 - 2020-10-26848HOLLYWOOD Oscar-TUSCON Roadrunners-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
87 - 2020-10-27858TUSCON Roadrunners-IOWA Wild-R3
88 - 2020-10-28873IOWA Wild-TUSCON Roadrunners-
89 - 2020-10-29879TUSCON Roadrunners-PV Sharapovas-R3
90 - 2020-10-30893TUSCON Roadrunners-Syracruse Crunch-
91 - 2020-10-31904Quebec Nordiques-TUSCON Roadrunners-R3
93 - 2020-11-02919TUSCON Roadrunners-Syracruse Crunch-
94 - 2020-11-03930LEHIGH VALLEY Phantoms-TUSCON Roadrunners-R3
96 - 2020-11-05951UTICA Comets-TUSCON Roadrunners-
98 - 2020-11-07974Manitoba Moose-TUSCON Roadrunners-R3
101 - 2020-11-10992Syracruse Crunch-TUSCON Roadrunners-
102 - 2020-11-11998TUSCON Roadrunners-COLORADO Eagles-R3
103 - 2020-11-121004TUSCON Roadrunners-HERSEY Bears-
106 - 2020-11-151025VICTORIAVILLE Tigres-TUSCON Roadrunners-R3
107 - 2020-11-161031TUSCON Roadrunners-HERSEY Bears-



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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
194,817$ 1,910,000$ 1,910,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 192,065$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 98 17,523$ 1,717,254$




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
Saison Régulière
33824331005033701652054122120040319474120412119001001769185863706841054121181105840385612491303129518183148269415702253214.22%3084485.71%51872283765.99%1152213953.86%806125464.27%256620111494456886490
34916002001225-1340300100511-651300100714-741224360054302569684760333918216332412.50%40880.00%011127440.51%12735136.18%4310540.95%2011402356410752
Total Saison Régulière9144370070338219019245221500503199851144622220020018310578903827081090121186109870411213451387137118216457377617332573614.01%3485285.06%51983311163.74%1279249051.37%849135962.47%276821511729521993542