TUSCON Roadrunners

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: | Morale : 99 | Moyenne d'Équipe : 65
Prochain matchs #10 vs HERSEY Bears
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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 SPÂgeContratSalaire
1Matthew Highmore (R)0X100.005838896570787566736462616567645699670243750,000$
2Michael Amadio0X100.005439866678718064786563626667646199670243750,000$
3Lucas Elvenes (R)0X100.005643876672868764716556576461637299670213750,000$
4Beck Malenstyn (R)0X100.006448885983817956525758615663625699660223750,000$
5Filip Chlapik0X100.006746866379747561686059626365647299660232800,000$
6Kieffer Bellows (R)0X100.006350846176838059525760586163658399660223750,000$
7Ville Meskanen (R)0X100.006545855975808158555753565869655999650243750,000$
8Fredrik Claesson44X100.006543856077827858305957625175685399670271750,000$
9Alex Alexeyev (R)0X100.007347895888868756305753594661627899670203750,000$
10Andreas Borgman0X100.006251835974838458305753554669656099650252750,000$
11Dmitri Samorukov (R)0X100.006447875881827956305452594761626699640213750,000$
Rayé
1Glenn Gawdin0X100.006251855976868858746258605965635999670233750,000$
2Nolan Stevens0X100.006245886180858360675956626167645799670243750,000$
3Adam Brooks0X100.005741896267767561576060586367646199650243750,000$
4German Rubtsov0X100.006342876276737863705959616563618299650223900,000$
5Mitch Hults10X100.006842855782737259655852565771665999640241850,000$
6Ryan Kuffner0X100.006239865975737156525758605967646299640243925,000$
7Sheldon Rempal0X100.005543896163767459556058575969655699640253750,000$
8Graham Knott75X100.006746885683767854515352575665637099630233750,000$
9Martin Pospisil (R)0X100.006254715875777457525654595861636299630203750,000$
10Deven Sideroff0X100.005339875867777656525553575465636499620233750,000$
11Ivan Chekhovich (R)0X100.005238885860797857515654555361626499610213750,000$
12Jacob Larsson0X100.0064428663787172613062586451656280996602331,500,000$
13Jalen Chatfield0X100.006042885675807954305350554667646199620243750,000$
14Josh Teves0X100.005244845468747352305150534569655899600252750,000$
MOYENNE D'ÉQUIPE100.00614486607578785952585659566664649965
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
1Felix Sandstrom (R)100.00755250797473757473757465696699650
Rayé
1Mikhail Berdin (R)100.00758280737473757473757463676499670
2Kevin Lankinen100.00687270776766686766686769735899630
3Evan Cormier (R)100.00636260836261636261636265696199590
MOYENNE D'ÉQUIPE100.0070676578696870696870696670629964
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sylvain Lefebvre67676767757564CAN541300,000$


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
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


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)C245/6/1996No84 Kg178 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Alex AlexeyevTUSCON Roadrunners (ARZ)D2011/15/1999Yes95 Kg193 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Andreas BorgmanTUSCON Roadrunners (ARZ)D256/18/1995No90 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Beck MalenstynTUSCON Roadrunners (ARZ)RW222/4/1998Yes91 Kg191 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Deven SideroffTUSCON Roadrunners (ARZ)RW234/14/1997No78 Kg180 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Dmitri SamorukovTUSCON Roadrunners (ARZ)D216/16/1999Yes85 Kg191 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Evan CormierTUSCON Roadrunners (ARZ)G2211/6/1997Yes91 Kg191 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Felix SandstromTUSCON Roadrunners (ARZ)G231/12/1997Yes87 Kg188 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Filip ChlapikTUSCON Roadrunners (ARZ)C236/3/1997No88 Kg188 CMNoNoNo2Pro & Farm800,000$800,000$800,000$800,000$0$0$No800,000$Lien
Fredrik ClaessonTUSCON Roadrunners (ARZ)D2711/24/1992No89 Kg185 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
German RubtsovTUSCON Roadrunners (ARZ)C226/27/1998No81 Kg188 CMNoNoNo3Pro & Farm900,000$900,000$750,000$750,000$0$0$No900,000$900,000$Lien
Glenn GawdinTUSCON Roadrunners (ARZ)C233/25/1997No87 Kg185 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Graham KnottTUSCON Roadrunners (ARZ)C231/13/1997No90 Kg191 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Ivan ChekhovichTUSCON Roadrunners (ARZ)LW211/4/1999Yes84 Kg155 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Jacob LarssonTUSCON Roadrunners (ARZ)D234/29/1997No86 Kg188 CMNoNoNo3Pro & Farm1,500,000$1,500,000$750,000$750,000$0$0$No1,500,000$1,500,000$Lien
Jalen ChatfieldTUSCON Roadrunners (ARZ)D245/16/1996No85 Kg185 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Josh TevesTUSCON Roadrunners (ARZ)D252/18/1995No77 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Kevin LankinenTUSCON Roadrunners (ARZ)G254/28/1995No84 Kg188 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Kieffer BellowsTUSCON Roadrunners (ARZ)LW226/10/1998Yes89 Kg185 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Lucas ElvenesTUSCON Roadrunners (ARZ)C218/18/1999Yes79 Kg185 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Martin PospisilTUSCON Roadrunners (ARZ)LW2011/19/1999Yes79 Kg188 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Matthew HighmoreTUSCON Roadrunners (ARZ)C242/27/1996Yes85 Kg180 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Michael AmadioTUSCON Roadrunners (ARZ)C245/13/1996No93 Kg185 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Mikhail BerdinTUSCON Roadrunners (ARZ)G223/1/1998Yes74 Kg188 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Mitch HultsTUSCON Roadrunners (ARZ)C2411/13/1995No95 Kg188 CMNoNoNo1Pro & Farm850,000$850,000$850,000$850,000$0$0$NoLien
Nolan StevensTUSCON Roadrunners (ARZ)C247/22/1996No83 Kg191 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Ryan KuffnerTUSCON Roadrunners (ARZ)LW246/12/1996No85 Kg185 CMNoNoNo3Pro & Farm925,000$925,000$750,000$750,000$0$0$No925,000$925,000$Lien
Sheldon RempalTUSCON Roadrunners (ARZ)RW258/7/1995No75 Kg178 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Ville MeskanenTUSCON Roadrunners (ARZ)RW2410/2/1995Yes85 Kg185 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2923.1085 Kg185 CM2.72792,241$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Lucas ElvenesFilip Chlapik31005
2Beck Malenstyn26113
323212
420311
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alex Alexeyev40122
2Fredrik ClaessonAndreas Borgman26122
324122
4Alex Alexeyev10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Beck Malenstyn55122
245122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonAlex Alexeyev55122
2Andreas Borgman45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonAlex Alexeyev55122
2Andreas Borgman45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Fredrik ClaessonAlex Alexeyev55122
245122Andreas Borgman45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonAlex Alexeyev55122
2Andreas Borgman45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Beck MalenstynFredrik ClaessonAlex Alexeyev
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Beck MalenstynFredrik ClaessonAlex Alexeyev
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Filip Chlapik, , Filip Chlapik, Filip Chlapik
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andreas Borgman, , Andreas BorgmanAndreas Borgman,
Tirs de Pénalité
, , Lucas Elvenes, Beck Malenstyn, Filip Chlapik
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
, , Lucas Elvenes, Beck Malenstyn, Filip Chlapik, , , , , ,
Lignes de Défense Perso. en Prol.
Fredrik Claesson, Alex Alexeyev, , Andreas Borgman,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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 - 2021-01-1710TUSCON Roadrunners-HERSEY Bears-
4 - 2021-01-1919TUSCON Roadrunners-ST-ANTONIO Rampage-
5 - 2021-01-2026BROOKLYN Wolfpack-TUSCON Roadrunners-
9 - 2021-01-2448UTICA Comets-TUSCON Roadrunners-
11 - 2021-01-2657TUSCON Roadrunners-MILWAUKEE Admirals-
13 - 2021-01-2865TORONTO Marlies-TUSCON Roadrunners-
16 - 2021-01-3179TUSCON Roadrunners-BROOKLYN Wolfpack-
19 - 2021-02-0391TUSCON Roadrunners-PROVIDENCE Bruins-
21 - 2021-02-05100UTICA Comets-TUSCON Roadrunners-
25 - 2021-02-09118MANITOBA Moose-TUSCON Roadrunners-
28 - 2021-02-12138PROVIDENCE Bruins-TUSCON Roadrunners-
30 - 2021-02-14147TUSCON Roadrunners-BAKERSFIELD Condors-
33 - 2021-02-17164TUSCON Roadrunners-PROVIDENCE Bruins-
34 - 2021-02-18170TUSCON Roadrunners-TORONTO Marlies-
36 - 2021-02-20179ROCKFORD IceHogs-TUSCON Roadrunners-
39 - 2021-02-23196SAN DIEGO Gulls-TUSCON Roadrunners-
43 - 2021-02-27216SCRANTON Penguins-TUSCON Roadrunners-
45 - 2021-03-01227TUSCON Roadrunners-STOCKTON Flames-
47 - 2021-03-03240COLORADO Eagles-TUSCON Roadrunners-
50 - 2021-03-06257TUSCON Roadrunners-IOWA Wild-
53 - 2021-03-09272CHICAGO Wolves-TUSCON Roadrunners-
58 - 2021-03-14294IOWA Wild-TUSCON Roadrunners-
60 - 2021-03-16305TUSCON Roadrunners-TORONTO Marlies-
62 - 2021-03-18314TUSCON Roadrunners-SAN DIEGO Gulls-
63 - 2021-03-19325BINGHAMTON Devils-TUSCON Roadrunners-
66 - 2021-03-22343TUSCON Roadrunners-BROOKLYN Wolfpack-
68 - 2021-03-24351PROVIDENCE Bruins-TUSCON Roadrunners-
71 - 2021-03-27371SYRACUSE Crunch-TUSCON Roadrunners-
73 - 2021-03-29382TUSCON Roadrunners-BRIDGEPORT Sound Tigers-
76 - 2021-04-01397BRIDGEPORT Sound Tigers-TUSCON Roadrunners-
80 - 2021-04-05417TUSCON Roadrunners-MILWAUKEE Admirals-
82 - 2021-04-07424BROOKLYN Wolfpack-TUSCON Roadrunners-
84 - 2021-04-09438TUSCON Roadrunners-GRAND RAPIDS Griffins-
87 - 2021-04-12449UTICA Comets-TUSCON Roadrunners-
90 - 2021-04-15467TUSCON Roadrunners-LAVAL Rocket-
91 - 2021-04-16476CHICAGO Wolves-TUSCON Roadrunners-
94 - 2021-04-19492TUSCON Roadrunners-SCRANTON Penguins-
95 - 2021-04-20501LEHIGH VALLEY Phantoms-TUSCON Roadrunners-
98 - 2021-04-23517TUSCON Roadrunners-BINGHAMTON Devils-
100 - 2021-04-25526COLORADO Eagles-TUSCON Roadrunners-
102 - 2021-04-27537TUSCON Roadrunners-SYRACUSE Crunch-
104 - 2021-04-29551TUSCON Roadrunners-MANITOBA Moose-
105 - 2021-04-30557STOCKTON Flames-TUSCON Roadrunners-
107 - 2021-05-02574TUSCON Roadrunners-ROCKFORD IceHogs-
109 - 2021-05-04582CAROLINA Checkers-TUSCON Roadrunners-
113 - 2021-05-08602TUSCON Roadrunners-ROCKFORD IceHogs-
114 - 2021-05-09608LAVAL Rocket-TUSCON Roadrunners-
118 - 2021-05-13630ONTARIO Reign-TUSCON Roadrunners-
121 - 2021-05-16645TUSCON Roadrunners-LAVAL Rocket-
123 - 2021-05-18656ST-ANTONIO Rampage-TUSCON Roadrunners-
128 - 2021-05-23681BAKERSFIELD Condors-TUSCON Roadrunners-
132 - 2021-05-27703TUSCON Roadrunners-MILWAUKEE Admirals-
133 - 2021-05-28708BELLEVILLE Senators-TUSCON Roadrunners-
136 - 2021-05-31725TUSCON Roadrunners-COLORADO Eagles-
138 - 2021-06-02732BINGHAMTON Devils-TUSCON Roadrunners-
140 - 2021-06-04745TUSCON Roadrunners-BELLEVILLE Senators-
142 - 2021-06-06756BROOKLYN Wolfpack-TUSCON Roadrunners-
144 - 2021-06-08761TUSCON Roadrunners-ST-ANTONIO Rampage-
148 - 2021-06-12784SAN DIEGO Gulls-TUSCON Roadrunners-
150 - 2021-06-14792TUSCON Roadrunners-CAROLINA Checkers-
152 - 2021-06-16807GRAND RAPIDS Griffins-TUSCON Roadrunners-
154 - 2021-06-18816TUSCON Roadrunners-CHICAGO Wolves-
157 - 2021-06-21830TUSCON Roadrunners-BAKERSFIELD Condors-
159 - 2021-06-23838HERSEY Bears-TUSCON Roadrunners-
163 - 2021-06-27864HERSEY Bears-TUSCON Roadrunners-
164 - 2021-06-28867TUSCON Roadrunners-UTICA Comets-
167 - 2021-07-01880TUSCON Roadrunners-HERSEY Bears-
169 - 2021-07-03889ROCKFORD IceHogs-TUSCON Roadrunners-
171 - 2021-07-05899TUSCON Roadrunners-LEHIGH VALLEY Phantoms-
174 - 2021-07-08914TUSCON Roadrunners-BRIDGEPORT Sound Tigers-
175 - 2021-07-09922TORONTO Marlies-TUSCON Roadrunners-
179 - 2021-07-13941TUSCON Roadrunners-ONTARIO Reign-
180 - 2021-07-14943TUSCON Roadrunners-UTICA Comets-
181 - 2021-07-15949MANITOBA Moose-TUSCON Roadrunners-
183 - 2021-07-17961TUSCON Roadrunners-PROVIDENCE Bruins-
187 - 2021-07-21979TORONTO Marlies-TUSCON Roadrunners-
189 - 2021-07-23995MILWAUKEE Admirals-TUSCON Roadrunners-
191 - 2021-07-251007TUSCON Roadrunners-ST-ANTONIO Rampage-
195 - 2021-07-291021TUSCON Roadrunners-HERSEY Bears-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
197 - 2021-07-311028MILWAUKEE Admirals-TUSCON Roadrunners-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
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
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,297,500$ 2,190,000$ 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$ 200 11,488$ 2,297,600$




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
3480264003515206220-144011200231311411314015200120292107-1570206371577588358614247883682280436254576859114142473212.96%2544183.86%21164247047.13%1235274045.07%543110948.96%188813421994560961468
3480264003515206220-144011200231311411314015200120292107-1570206371577588358614247883682280436254576859114142473212.96%2544183.86%21164247047.13%1235274045.07%543110948.96%188813421994560961468
Total Saison Régulière16052800610210412440-2880224004626228226280304002404184214-3014041274211541016166116122849561672164416087250901536118228284946412.96%5088283.86%42328494047.13%2470548045.07%1086221848.96%37762684398811211923937