TUSCON Roadrunners
GP: 65 | W: 36 | L: 24 | OTL: 5 | P: 77
GF: 237 | GA: 201 | PP%: 15.75% | PK%: 82.14%
DG: Olivier Terreault | Morale : 99 | Moyenne d'Équipe : 65
Prochain matchs #835 vs LAVAL Rocket
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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
1Nicolas Aube-Kubel0X100.007346856670787365526264636667657199680243750,000$
2Michael Amadio0X100.005439866678718064786563626667646199670243750,000$
3Glenn Gawdin0X100.006251855976868858746258605965635999670233750,000$
4Nolan Stevens0X100.006245886180858360675956626167645799670243750,000$
5Lucas Elvenes (R)0X100.005643876672868764716556576461637299670213750,000$
6Beck Malenstyn (R)0X100.006448885983817956525758615663625699660223750,000$
7Filip Chlapik0X100.006746866379747561686059626365647299660232800,000$
8Kieffer Bellows (R)0X100.006350846176838059525760586163658399660223750,000$
9Adam Brooks0X100.005741896267767561576060586367646199650243750,000$
10German Rubtsov0X100.006342876276737863705959616563618299650223900,000$
11Ville Meskanen (R)0X100.006545855975808158555753565869655999650243750,000$
12Mitch Hults10X100.006842855782737259655852565771665999640241850,000$
13Ryan Kuffner0X100.006239865975737156525758605967646299640243925,000$
14Sheldon Rempal0X100.005543896163767459556058575969655699640253750,000$
15Graham Knott75X100.006746885683767854515352575665637099630233750,000$
16Martin Pospisil (R)0X100.006254715875777457525654595861636299630203750,000$
17Deven Sideroff0X100.005339875867777656525553575465636499620233750,000$
18Ivan Chekhovich (R)0X100.005238885860797857515654555361626499610213750,000$
19Fredrik Claesson44X100.006543856077827858305957625175685399670271750,000$
20Alex Alexeyev (R)0X100.007347895888868756305753594661627899670203750,000$
21Jacob Larsson0X100.0064428663787172613062586451656280996602331,500,000$
22Andreas Borgman0X100.006251835974838458305753554669656099650252750,000$
23Dmitri Samorukov (R)0X100.006447875881827956305452594761626699640213750,000$
24Jalen Chatfield0X100.006042885675807954305350554667646199620243750,000$
Rayé
1Josh Teves0X100.005244845468747352305150534569655899600252750,000$
MOYENNE D'ÉQUIPE100.00624586607578785851585659566664659965
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
1Mikhail Berdin (R)100.00758280737473757473757463676499670
2Felix Sandstrom (R)100.00755250797473757473757465696699650
3Kevin Lankinen100.00687270776766686766686769735899630
Rayé
1Evan Cormier (R)100.00636260836261636261636265696199580
MOYENNE D'ÉQUIPE100.0070676578696870696870696670629963
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
1Nicolas Aube-KubelTUSCON Roadrunners (ARZ)RW4732326433340103682387017513.45%994120.04347289510141214255.77%26000021.3612000942
2Michael AmadioTUSCON Roadrunners (ARZ)C5419355433401794191561339.95%1193417.30178229411291333064.64%98700001.1603000133
3Fredrik ClaessonTUSCON Roadrunners (ARZ)D60192544244407044108288017.59%77138323.05628341110110142410.00%022110.6400000143
4Alex AlexeyevTUSCON Roadrunners (ARZ)D651133441272013155104317410.58%103155623.95156331311012143100.00%011100.5700000203
5Kieffer BellowsTUSCON Roadrunners (ARZ)LW57133144381405139155611228.39%795216.71325191100000213249.09%5500000.9201000123
6Lucas ElvenesTUSCON Roadrunners (ARZ)C65122840171603785136491248.82%882512.7004410801122822161.36%77900010.9711000121
7Beck MalenstynTUSCON Roadrunners (ARZ)RW65172239192009052195621548.72%1698215.1231424111000002156.25%6410000.7900000243
8Jacob LarssonTUSCON Roadrunners (ARZ)D5710283847280734496276610.42%58112719.78123391050113135210.00%000000.6700000440
9Nolan StevensTUSCON Roadrunners (ARZ)C57102737271003673139311147.19%1578413.770000012351001158.45%73400000.9401000111
10Ryan KuffnerTUSCON Roadrunners (ARZ)LW57132033232205440133421009.77%283314.621671789000003053.57%5600010.7900000202
11Sheldon RempalTUSCON Roadrunners (ARZ)RW571512272160192990339116.67%105529.6900000000003065.38%2600000.9800000210
12Glenn GawdinTUSCON Roadrunners (ARZ)C579162515140465312332747.32%857610.1200000000041060.68%58500010.8701000102
13Martin PospisilTUSCON Roadrunners (ARZ)LW57151025262205638122276712.30%166411.6600000000002065.12%4300000.7500000014
14Andreas BorgmanTUSCON Roadrunners (ARZ)D656182436400903560174910.00%52126019.39224271170110139000.00%000000.3800000121
15Ville MeskanenTUSCON Roadrunners (ARZ)RW5710122221180342510132769.90%267911.9200001000001062.50%3200000.6500000020
16Dmitri SamorukovTUSCON Roadrunners (ARZ)D57418223324083335220297.69%4790815.9500015000022100.00%000000.4800000011
17Alan QuineARIZONA CoyotesC/LW9613191720122454144211.11%221423.840118150000240065.70%20700001.7700000201
18Jalen ChatfieldTUSCON Roadrunners (ARZ)D553131634160602028141610.71%4689716.3100011000048000.00%000000.3600000011
19Ivan ChekhovichTUSCON Roadrunners (ARZ)LW402141612201795422423.70%141010.2700000000001057.69%2600000.7800000111
20Matthew HighmoreARIZONA CoyotesC1451015410017336421517.81%528620.4622421320000340064.07%33400001.0501000311
21Filip ChlapikTUSCON Roadrunners (ARZ)C65369-540129357228.57%91462.2500016000060060.87%2301001.2300000000
22Adam BrooksTUSCON Roadrunners (ARZ)C40000000100000.00%020.070000200000000.00%000000.0000000000
23German RubtsovTUSCON Roadrunners (ARZ)C40000000141020.00%1350.88000000001330074.36%3900000.0000000000
Stats d'équipe Total ou en Moyenne1197234423657487422011109062279696170310.27%4901695714.172338612851111571226119934961.44%425044260.77210000343433
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
1Mikhail BerdinTUSCON Roadrunners (ARZ)57361650.9172.0934442612014510110.92313570431
Stats d'équipe Total ou en Moyenne57361650.9172.0934442612014510110.92313570431


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$158,898$750,000$158,898$0$0$No750,000$750,000$Lien
Alex AlexeyevTUSCON Roadrunners (ARZ)D2011/15/1999Yes95 Kg193 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Andreas BorgmanTUSCON Roadrunners (ARZ)D256/18/1995No90 Kg183 CMNoNoNo2Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$Lien
Beck MalenstynTUSCON Roadrunners (ARZ)RW222/4/1998Yes91 Kg191 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Deven SideroffTUSCON Roadrunners (ARZ)RW234/14/1997No78 Kg180 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$Lien
Dmitri SamorukovTUSCON Roadrunners (ARZ)D216/16/1999Yes85 Kg191 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Evan CormierTUSCON Roadrunners (ARZ)G2211/6/1997Yes91 Kg191 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Felix SandstromTUSCON Roadrunners (ARZ)G231/12/1997Yes87 Kg188 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Filip ChlapikTUSCON Roadrunners (ARZ)C236/3/1997No88 Kg188 CMNoNoNo2Pro & Farm800,000$169,492$800,000$169,492$0$0$No800,000$Lien
Fredrik ClaessonTUSCON Roadrunners (ARZ)D2711/24/1992No89 Kg185 CMNoNoNo1Pro & Farm750,000$158,898$750,000$158,898$0$0$NoLien
German RubtsovTUSCON Roadrunners (ARZ)C226/27/1998No81 Kg188 CMNoNoNo3Pro & Farm900,000$190,678$750,000$158,898$0$0$No900,000$900,000$Lien
Glenn GawdinTUSCON Roadrunners (ARZ)C233/25/1997No87 Kg185 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$Lien
Graham KnottTUSCON Roadrunners (ARZ)C231/13/1997No90 Kg191 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$Lien
Ivan ChekhovichTUSCON Roadrunners (ARZ)LW211/4/1999Yes84 Kg155 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Jacob LarssonTUSCON Roadrunners (ARZ)D234/29/1997No86 Kg188 CMNoNoNo3Pro & Farm1,500,000$317,797$750,000$158,898$0$0$No1,500,000$1,500,000$Lien
Jalen ChatfieldTUSCON Roadrunners (ARZ)D245/16/1996No85 Kg185 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$Lien
Josh TevesTUSCON Roadrunners (ARZ)D252/18/1995No77 Kg183 CMNoNoNo2Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$Lien
Kevin LankinenTUSCON Roadrunners (ARZ)G254/28/1995No84 Kg188 CMNoNoNo2Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$Lien
Kieffer BellowsTUSCON Roadrunners (ARZ)LW226/10/1998Yes89 Kg185 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Lucas ElvenesTUSCON Roadrunners (ARZ)C218/18/1999Yes79 Kg185 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Martin PospisilTUSCON Roadrunners (ARZ)LW2011/19/1999Yes79 Kg188 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Michael AmadioTUSCON Roadrunners (ARZ)C245/13/1996No93 Kg185 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$Lien
Mikhail BerdinTUSCON Roadrunners (ARZ)G223/1/1998Yes74 Kg188 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Mitch HultsTUSCON Roadrunners (ARZ)C2411/13/1995No95 Kg188 CMNoNoNo1Pro & Farm850,000$180,085$850,000$180,085$0$0$NoLien
Nicolas Aube-KubelTUSCON Roadrunners (ARZ)RW245/10/1996No85 Kg180 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Nolan StevensTUSCON Roadrunners (ARZ)C247/22/1996No83 Kg191 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$Lien
Ryan KuffnerTUSCON Roadrunners (ARZ)LW246/12/1996No85 Kg185 CMNoNoNo3Pro & Farm925,000$195,975$750,000$158,898$0$0$No925,000$925,000$Lien
Sheldon RempalTUSCON Roadrunners (ARZ)RW258/7/1995No75 Kg178 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$Lien
Ville MeskanenTUSCON Roadrunners (ARZ)RW2410/2/1995Yes85 Kg185 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$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
1Kieffer BellowsMichael AmadioNicolas Aube-Kubel31122
2Ryan KuffnerLucas ElvenesBeck Malenstyn26122
3Martin PospisilNolan StevensVille Meskanen23122
4Ivan ChekhovichGlenn GawdinSheldon Rempal20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonAlex Alexeyev31122
2Jacob LarssonAndreas Borgman26122
3Dmitri SamorukovJalen Chatfield23122
4Fredrik ClaessonAlex Alexeyev20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kieffer BellowsMichael AmadioNicolas Aube-Kubel55122
2Ryan KuffnerLucas ElvenesBeck Malenstyn45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonAlex Alexeyev55122
2Jacob LarssonAndreas Borgman45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nicolas Aube-KubelMichael Amadio55122
2Lucas ElvenesNolan Stevens45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonAlex Alexeyev55122
2Jacob LarssonAndreas Borgman45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nicolas Aube-Kubel55122Fredrik ClaessonAlex Alexeyev55122
2Michael Amadio45122Jacob LarssonAndreas Borgman45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nicolas Aube-KubelMichael Amadio55122
2Lucas ElvenesNolan Stevens45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonAlex Alexeyev55122
2Jacob LarssonAndreas Borgman45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kieffer BellowsMichael AmadioNicolas Aube-KubelFredrik ClaessonAlex Alexeyev
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kieffer BellowsMichael AmadioNicolas Aube-KubelFredrik ClaessonAlex Alexeyev
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Filip Chlapik, Adam Brooks, German RubtsovFilip Chlapik, Adam BrooksGerman Rubtsov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dmitri Samorukov, Jalen Chatfield, Jacob LarssonDmitri SamorukovJalen Chatfield, Jacob Larsson
Tirs de Pénalité
Nicolas Aube-Kubel, Michael Amadio, Lucas Elvenes, Nolan Stevens, Glenn Gawdin
Gardien
#1 : Mikhail Berdin, #2 : Felix Sandstrom, #3 : Kevin Lankinen
Lignes d'Attaque Perso. en Prol.
Nicolas Aube-Kubel, Michael Amadio, Lucas Elvenes, Nolan Stevens, Glenn Gawdin, Beck Malenstyn, Beck Malenstyn, Kieffer Bellows, Filip Chlapik, Adam Brooks, German Rubtsov
Lignes de Défense Perso. en Prol.
Fredrik Claesson, Alex Alexeyev, Jacob Larsson, Andreas Borgman, Dmitri Samorukov


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
1BAKERSFIELD Condors1100000010191100000010190000000000021.0001017270010574562777317837954381617100.00%30100.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
2BELLEVILLE Senators220000001421200000000000220000001421241.00014264000105745628573178379543331810365120.00%50100.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
3BINGHAMTON Devils11000000321000000000001100000032121.00036900105745623873178379543297216400.00%10100.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
4BRIDGEPORT Sound Tigers30300000917-820200000712-51010000025-300.00091827001057456264731783795431373412467114.29%6350.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
5BROOKLYN Wolfpack5410000020146220000001028321000001012-280.8002034540010574562170731783795431645148679333.33%21290.48%11189197560.20%990184353.72%584103556.43%170312651458413765389
6CAROLINA Checkers22000000193161100000011381100000080841.00019375601105745621227317837954327121440200.00%7185.71%01189197560.20%990184353.72%584103556.43%170312651458413765389
7CHICAGO Wolves1010000013-21010000013-20000000000000.000123001057456221731783795433011823300.00%4175.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
8COLORADO Eagles321000009812110000056-11100000042240.66791524001057456282731783795438225183914321.43%9277.78%01189197560.20%990184353.72%584103556.43%170312651458413765389
9GRAND RAPIDS Griffins52200100721-142110000025-331100100516-1150.500714210110574562163731783795431775022791218.33%10280.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
10HERSEY Bears513000011229-172110000069-330200001620-1430.3001222340010574562177731783795431986734941218.33%15473.33%01189197560.20%990184353.72%584103556.43%170312651458413765389
11IOWA Wild210001005501000010023-11100000032130.75058130010574562827317837954347161037100.00%4175.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
12LAVAL Rocket3010020037-41000010012-12010010025-320.33335810105745624773178379543104272863200.00%13284.62%01189197560.20%990184353.72%584103556.43%170312651458413765389
13LEHIGH VALLEY Phantoms11000000413000000000001100000041321.000461000105745624173178379543264818700.00%30100.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
14MANITOBA Moose11000000505110000005050000000000021.0005914011057456245731783795432458205120.00%40100.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
15MILWAUKEE Admirals3020001059-4100000103212020000027-520.33358130010574562937317837954393282244600.00%100100.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
16ONTARIO Reign1010000003-31010000003-30000000000000.0000000010574562357317837954336131226000.00%5260.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
17PROVIDENCE Bruins422000001217-52110000075221100000512-740.50012233500105745621187317837954313328285111436.36%14564.29%11189197560.20%990184353.72%584103556.43%170312651458413765389
18ROCKFORD IceHogs11000000615000000000001100000061521.0006111700105745625873178379543285420000.00%10100.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
19SAN ANTONIO Rampage330000001531211000000422220000001111061.00015284301105745629673178379543712110535240.00%50100.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
20SAN DIEGO Gulls33000000321312200000021120110000001101161.0003262940210574562226731783795432351261100.00%50100.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
21SCRANTON Penguins1010000013-2000000000001010000013-200.00012300105745622373178379543346821300.00%4175.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
22STOCKTON Flames211000006421010000023-11100000041320.500612180010574562537317837954358720328337.50%10280.00%01189197560.20%990184353.72%584103556.43%170312651458413765389
23SYRACUSE Crunch22000000844110000004221100000042241.0008132100105745625073178379543661622385120.00%9277.78%11189197560.20%990184353.72%584103556.43%170312651458413765389
24TORONTO Marlies5220001020200302000101017-722000000103760.6002031510010574562260731783795431523526869111.11%13376.92%01189197560.20%990184353.72%584103556.43%170312651458413765389
25UTICA Comets523000001123-1232100000916-72020000027-540.40011193000105745621147317837954318556341051417.14%15286.67%21189197560.20%990184353.72%584103556.43%170312651458413765389
Total65342400421237201363115120022012097233419120020111710413770.5922374286651610574562234073178379543196554842611321462315.75%1963582.14%51189197560.20%990184353.72%584103556.43%170312651458413765389
_Since Last GM Reset65342400421237201363115120022012097233419120020111710413770.5922374286651610574562234073178379543196554842611321462315.75%1963582.14%51189197560.20%990184353.72%584103556.43%170312651458413765389
_Vs Conference432018002211541495211080012083749221010001017175-4470.54715427643013105745621505731783795431370382276729901617.78%1272381.89%41189197560.20%990184353.72%584103556.43%170312651458413765389
_Vs Division1211110001159322786500010422418456000011789251.04259110169021057456250573178379543310828424124416.67%38684.21%21189197560.20%990184353.72%584103556.43%170312651458413765389

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6577W523742866523401965548426113216
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6534240421237201
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
311512022012097
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3419120201117104
Derniers 10 Matchs
WLOTWOTL SOWSOL
910000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1462315.75%1963582.14%5
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
7317837954310574562
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
1189197560.20%990184353.72%584103556.43%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
170312651458413765389


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 - 2021-01-177TUSCON Roadrunners2PROVIDENCE Bruins11LSommaire du Match
2 - 2021-01-1817TUSCON Roadrunners0BROOKLYN Wolfpack10LSommaire du Match
3 - 2021-01-1926HERSEY Bears7TUSCON Roadrunners2LSommaire du Match
4 - 2021-01-2033TUSCON Roadrunners1HERSEY Bears11LSommaire du Match
5 - 2021-01-2144TUSCON Roadrunners1GRAND RAPIDS Griffins13LSommaire du Match
6 - 2021-01-2252TORONTO Marlies9TUSCON Roadrunners3LSommaire du Match
8 - 2021-01-2473UTICA Comets11TUSCON Roadrunners1LSommaire du Match
11 - 2021-01-2796BRIDGEPORT Sound Tigers7TUSCON Roadrunners3LSommaire du Match
13 - 2021-01-29112SAN DIEGO Gulls1TUSCON Roadrunners12WSommaire du Match
14 - 2021-01-30118TUSCON Roadrunners5SAN ANTONIO Rampage0WSommaire du Match
16 - 2021-02-01136TUSCON Roadrunners3GRAND RAPIDS Griffins1WSommaire du Match
17 - 2021-02-02144BROOKLYN Wolfpack1TUSCON Roadrunners5WSommaire du Match
18 - 2021-02-03158TUSCON Roadrunners8BELLEVILLE Senators1WSommaire du Match
19 - 2021-02-04168TUSCON Roadrunners5TORONTO Marlies2WSommaire du Match
20 - 2021-02-05180HERSEY Bears2TUSCON Roadrunners4WSommaire du Match
22 - 2021-02-07196GRAND RAPIDS Griffins5TUSCON Roadrunners0LSommaire du Match
24 - 2021-02-09213SYRACUSE Crunch2TUSCON Roadrunners4WSommaire du Match
26 - 2021-02-11225TUSCON Roadrunners2BRIDGEPORT Sound Tigers5LSommaire du Match
27 - 2021-02-12234TUSCON Roadrunners4HERSEY Bears5LXXSommaire du Match
28 - 2021-02-13248STOCKTON Flames3TUSCON Roadrunners2LSommaire du Match
30 - 2021-02-15263TUSCON Roadrunners4LEHIGH VALLEY Phantoms1WR3Sommaire du Match
31 - 2021-02-16271TUSCON Roadrunners1UTICA Comets3LSommaire du Match
32 - 2021-02-17283ONTARIO Reign3TUSCON Roadrunners0LSommaire du Match
34 - 2021-02-19302BRIDGEPORT Sound Tigers5TUSCON Roadrunners4LSommaire du Match
35 - 2021-02-20316TUSCON Roadrunners0LAVAL Rocket2LSommaire du Match
36 - 2021-02-21324TUSCON Roadrunners5TORONTO Marlies1WSommaire du Match
38 - 2021-02-23337CAROLINA Checkers3TUSCON Roadrunners11WSommaire du Match
40 - 2021-02-25353MILWAUKEE Admirals2TUSCON Roadrunners3WXXSommaire du Match
41 - 2021-02-26364TUSCON Roadrunners1GRAND RAPIDS Griffins2LXSommaire du Match
42 - 2021-02-27376TORONTO Marlies5TUSCON Roadrunners3LSommaire du Match
44 - 2021-03-01390TUSCON Roadrunners1MILWAUKEE Admirals5LSommaire du Match
46 - 2021-03-03404SAN ANTONIO Rampage2TUSCON Roadrunners4WSommaire du Match
47 - 2021-03-04421PROVIDENCE Bruins4TUSCON Roadrunners2LSommaire du Match
48 - 2021-03-05428TUSCON Roadrunners4STOCKTON Flames1WSommaire du Match
50 - 2021-03-07442TUSCON Roadrunners2LAVAL Rocket3LXSommaire du Match
51 - 2021-03-08456BROOKLYN Wolfpack1TUSCON Roadrunners5WSommaire du Match
53 - 2021-03-10471TUSCON Roadrunners1MILWAUKEE Admirals2LSommaire du Match
54 - 2021-03-11482TUSCON Roadrunners3IOWA Wild2WSommaire du Match
55 - 2021-03-12493IOWA Wild3TUSCON Roadrunners2LXSommaire du Match
56 - 2021-03-13510TUSCON Roadrunners3BROOKLYN Wolfpack1WSommaire du Match
57 - 2021-03-14517BAKERSFIELD Condors1TUSCON Roadrunners10WSommaire du Match
59 - 2021-03-16530TUSCON Roadrunners1SCRANTON Penguins3LSommaire du Match
60 - 2021-03-17543PROVIDENCE Bruins1TUSCON Roadrunners5WSommaire du Match
62 - 2021-03-19559COLORADO Eagles1TUSCON Roadrunners2WSommaire du Match
64 - 2021-03-21576TUSCON Roadrunners6SAN ANTONIO Rampage1WSommaire du Match
65 - 2021-03-22584TUSCON Roadrunners6ROCKFORD IceHogs1WSommaire du Match
66 - 2021-03-23596CHICAGO Wolves3TUSCON Roadrunners1LSommaire du Match
68 - 2021-03-25613COLORADO Eagles5TUSCON Roadrunners3LSommaire du Match
69 - 2021-03-26619TUSCON Roadrunners1UTICA Comets4LSommaire du Match
70 - 2021-03-27638TUSCON Roadrunners4SYRACUSE Crunch2WSommaire du Match
72 - 2021-03-29648MANITOBA Moose0TUSCON Roadrunners5WR3Sommaire du Match
73 - 2021-03-30663LAVAL Rocket2TUSCON Roadrunners1LXSommaire du Match
76 - 2021-04-02682UTICA Comets2TUSCON Roadrunners3WSommaire du Match
77 - 2021-04-03690TUSCON Roadrunners4COLORADO Eagles2WSommaire du Match
78 - 2021-04-04702TUSCON Roadrunners3BINGHAMTON Devils2WSommaire du Match
80 - 2021-04-06717TUSCON Roadrunners8CAROLINA Checkers0WSommaire du Match
81 - 2021-04-07724UTICA Comets3TUSCON Roadrunners5WSommaire du Match
82 - 2021-04-08736TUSCON Roadrunners6BELLEVILLE Senators1WSommaire du Match
84 - 2021-04-10751GRAND RAPIDS Griffins0TUSCON Roadrunners2WSommaire du Match
85 - 2021-04-11763TUSCON Roadrunners1HERSEY Bears4LSommaire du Match
87 - 2021-04-13777SAN DIEGO Gulls0TUSCON Roadrunners9WSommaire du Match
88 - 2021-04-14795TUSCON Roadrunners7BROOKLYN Wolfpack1WSommaire du Match
89 - 2021-04-15804TORONTO Marlies3TUSCON Roadrunners4WXXSommaire du Match
91 - 2021-04-17814TUSCON Roadrunners11SAN DIEGO Gulls0WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19827TUSCON Roadrunners3PROVIDENCE Bruins1WSommaire du Match
94 - 2021-04-20835LAVAL Rocket-TUSCON Roadrunners-
96 - 2021-04-22856HERSEY Bears-TUSCON Roadrunners-
97 - 2021-04-23867TUSCON Roadrunners-BAKERSFIELD Condors-
98 - 2021-04-24881BELLEVILLE Senators-TUSCON Roadrunners-
101 - 2021-04-27902BINGHAMTON Devils-TUSCON Roadrunners-
102 - 2021-04-28916SCRANTON Penguins-TUSCON Roadrunners-
104 - 2021-04-30935TUSCON Roadrunners-ONTARIO Reign-
105 - 2021-05-01943SCRANTON Penguins-TUSCON Roadrunners-
106 - 2021-05-02953TUSCON Roadrunners-MANITOBA Moose-
109 - 2021-05-05972ROCKFORD IceHogs-TUSCON Roadrunners-
110 - 2021-05-06985TUSCON Roadrunners-BAKERSFIELD Condors-
112 - 2021-05-08999ROCKFORD IceHogs-TUSCON Roadrunners-
113 - 2021-05-091013TUSCON Roadrunners-CHICAGO Wolves-
115 - 2021-05-111025LEHIGH VALLEY Phantoms-TUSCON Roadrunners-
116 - 2021-05-121029TUSCON Roadrunners-PROVIDENCE Bruins-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,847,681$ 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$ 1,847,681$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 25 19,470$ 486,750$




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
3665342400421237201363115120022012097233419120020111710413772374286651610574562234073178379543196554842611321462315.75%1963582.14%51189197560.20%990184353.72%584103556.43%170312651458413765389
Total Saison Régulière225861040614411649641811137520484634832325114495202605301318-1721764911701819112227119017810729624032427240311570552084160839606408713.59%70411783.38%93517691550.86%3460732347.25%1670325351.34%547939495446153526881327