Association Québécoise de Hockey Simulé - Xpress 

Xpress

GP: 18 | W: 12 | L: 4 | OTL: 2 | P: 26
GF: 83 | GA: 63 | PP%: 43.94% | PK%: 72.00%
DG: Philippe Boivin | Morale : 90 | Moyenne d'Équipe : 60
Prochain matchs #302 vs Saguenéens
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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
1Travis BoydX99.00564586846183996273596567718983090680
2Brett HowdenX100.00914867787165655582515973668575090660
3Adam Ruzicka (R)X100.00604590828158536478666158708372090650
4Oliver Wahlstrom (R)X100.00785170837261426430616662698271090640
5Wade AllisonX99.00995179797265725530486271678575090640
6Nils Aman (R)X100.00604588815964825568545571668373090640
7Jacob Peterson (R)X100.00594590855887406130655859688377090630
8Max JonesX99.00825464778064835630526156678575090620
9Connor BrownX100.00524595785684404530405072508983090570
10Jonas Rondbjerg (R)X100.00504590757151404730445067508471090560
11Mikael Pyyhtia (R)X100.00504592804968404730445060508172090540
12Adam BoqvistX99.00574590915278566930746365718275090670
13Sebastien Aho (R)X99.00584587855070866030615971778778090670
14Noah JuulsenX99.00954587766562404530405076508675090630
15Philip Broberg (R)X100.00594594796653565330525368668169090620
16Adam Ginning (R)X100.00504592766569404530405062508374090590
17Jack Rathbone (R)X100.00534592804559405030445660658371090580
Rayé
1Adam Raska (R)X100.00604595795160404556405060508170090550
2Matthew Highmore (R)X100.00504595775854404530405060508775090540
3Austin Poganski (R)X100.00504595766750404530405055508774090530
4Dmytro TimashovX100.00504595766150404530405055508774090530
5Jan Jenik (R)X100.00504590786050404530405061508269090530
6Olle Lycksell (R)X100.00504584804353404730445060508371090530
7Drake CaggiulaX100.00524595795050404530405058508875090530
8Jakub Galvas (R)X100.00504595804050404530405055508471090550
MOYENNE D'ÉQUIPE99.7661468880606252523849556359847409060
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
1Dylan Wells (R)99.0070506085707070707070708572090620
2Robin Lehner100.0070404099656565656565659087090600
Rayé
1Petr Mrazek100.0073738884707673767072999085090670
MOYENNE D'ÉQUIPE99.677154638968706970686978888109063
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan65656565867768CAN5211,000,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Travis BoydXpress (STJ)RW1817203702410252282243820.73%1541723.177111818400001331160.23%882213001.7701110451
2Brett HowdenXpress (STJ)C1892231023545424091822.50%1135519.765121710390001210163.59%412612001.7401100214
3Adam RuzickaXpress (STJ)C18101222355222559223916.95%1233218.4743712310002243268.33%221912001.3201100311
4Adam BoqvistXpress (STJ)D16714210135102652232113.46%2440225.13369937000034020.00%01818001.0401001021
5Adam ErneSt-Johns DesperadosLW1261016216029133652616.67%1025521.272469310000220041.67%12146011.2511000200
6Oliver WahlstromXpress (STJ)RW1886140155271845152517.78%628515.87123122000151060.00%152014000.9801010101
7Max JonesXpress (STJ)LW188513631530122451033.33%1133518.622354330000121057.14%788010.7800001010
8Nils AmanXpress (STJ)C183811012016283512258.57%726814.90000260001131067.90%162411010.8200000100
9Wade AllisonXpress (STJ)RW18461059541174913208.16%1429016.161013150000120150.00%121112000.6911001012
10Jacob PetersonXpress (STJ)C1828100552523428274.76%1127815.4500001000010043.75%48128000.7201001011
11Philip BrobergXpress (STJ)D1816752092617455.88%1636120.09112437000032000.00%0315000.3900000000
12Noah JuulsenXpress (STJ)D161671602122181385.56%2337923.72123338000033100.00%0324000.3700000001
13Adam GinningXpress (STJ)D1805570010149330.00%1333418.60022024000026000.00%0021000.3000000000
14Mikael PyyhtiaXpress (STJ)LW832500078123625.00%112916.1402228000022066.67%304000.7700000010
15Jack RathboneXpress (STJ)D18123-300511104210.00%1328115.661011800008100.00%0114000.2100000000
16Jonas RondbjergXpress (STJ)RW18112-10013620150.00%11106.1501108000000040.74%2725000.3600000000
17Jakub GalvasXpress (STJ)D12022-400186130.00%517014.230000100002000.00%012000.2300000000
18Sebastien AhoXpress (STJ)D81012409884212.50%1019624.59101212000015000.00%0211000.1000000000
19Connor BrownXpress (STJ)RW18000-255452000.00%41106.130000200000000.00%301000.0000001000
Stats d'équipe Total ou en Moyenne30682135217211705034933454816827914.96%207529617.3129497880403000630511762.77%1010136211030.8228325131312
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
1Dylan WellsXpress (STJ)1611410.8843.509430055473260100.8758162020
2Dylan FergusonSt-Johns Desperados21000.9322.12850034422000.000015001
3Robin LehnerXpress (STJ)10010.8285.00600052912000.0000111000
Stats d'équipe Total ou en Moyenne1912420.8853.4710890063546294100.87581818021


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam BoqvistXpress (STJ)D232000-08-15No182 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm2,500,000$0$0$No
Adam GinningXpress (STJ)D232000-01-13Yes196 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm850,000$0$0$No
Adam RaskaXpress (STJ)RW222001-09-25Yes178 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm850,000$0$0$No
Adam RuzickaXpress (STJ)C241999-05-11Yes215 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm1,750,000$0$0$No
Austin PoganskiXpress (STJ)RW271996-02-16Yes198 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Brett HowdenXpress (STJ)C251998-03-29No203 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm1,900,000$0$0$No
Connor BrownXpress (STJ)RW291994-01-14No181 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm3,000,000$0$0$No
Dmytro TimashovXpress (STJ)RW261996-10-01No198 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm700,000$0$0$No
Drake CaggiulaXpress (STJ)LW291994-06-20No176 Lbs5 ft10NoNoNo5Sans RestrictionPro & Farm700,000$0$0$No
Dylan WellsXpress (STJ)G251998-01-03Yes190 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm775,000$0$0$No
Jack RathboneXpress (STJ)D241999-05-20Yes177 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm850,000$0$0$No
Jacob PetersonXpress (STJ)C241999-07-19Yes180 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Jakub GalvasXpress (STJ)D241999-06-15Yes161 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm870,000$0$0$No
Jan JenikXpress (STJ)C232000-09-15Yes185 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm800,000$0$0$No
Jonas RondbjergXpress (STJ)RW241999-03-31Yes203 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm950,000$0$0$No
Matthew HighmoreXpress (STJ)RW271996-02-27Yes188 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm725,000$0$0$No
Max JonesXpress (STJ)LW251998-02-17No216 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm1,250,000$0$0$No
Mikael PyyhtiaXpress (STJ)LW212001-12-17Yes166 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm850,000$0$0$No
Nils AmanXpress (STJ)C232000-02-07Yes179 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm900,000$0$0$No
Noah JuulsenXpress (STJ)D261997-04-02No201 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Oliver WahlstromXpress (STJ)RW232000-06-13Yes204 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm1,250,000$0$0$No
Olle LycksellXpress (STJ)RW241999-08-24Yes163 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm800,000$0$0$No
Petr MrazekXpress (STJ)G311992-02-14No188 Lbs6 ft2NoNoNo5Sans RestrictionPro & Farm2,750,000$0$0$No
Philip BrobergXpress (STJ)D222001-06-25Yes199 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Robin LehnerXpress (STJ)G321991-07-24No250 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm5,000,000$0$0$No
Sebastien AhoXpress (STJ)D271996-02-17Yes186 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Travis BoydXpress (STJ)RW301993-09-14No190 Lbs6 ft0NoNoNo5Sans RestrictionPro & Farm1,000,000$0$0$No
Wade AllisonXpress (STJ)RW251997-10-14No205 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm1,500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2825.29191 Lbs6 ft12.931,322,143$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Max JonesBrett HowdenTravis Boyd35122
2Mikael PyyhtiaAdam RuzickaWade Allison30122
3Jacob PetersonNils AmanOliver Wahlstrom25122
4Travis BoydJacob PetersonConnor Brown10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sebastien AhoAdam Boqvist35122
2Noah JuulsenPhilip Broberg30122
3Adam GinningJack Rathbone25122
4Sebastien AhoAdam Boqvist10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Max JonesBrett HowdenTravis Boyd55122
2Mikael PyyhtiaAdam RuzickaWade Allison45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sebastien AhoAdam Boqvist55122
2Noah JuulsenPhilip Broberg45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Travis BoydBrett Howden55122
2Adam RuzickaWade Allison45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sebastien AhoAdam Boqvist55122
2Noah JuulsenPhilip Broberg45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Travis Boyd55122Sebastien AhoAdam Boqvist55122
2Brett Howden45122Noah JuulsenPhilip Broberg45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Travis BoydBrett Howden55122
2Adam RuzickaWade Allison45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sebastien AhoAdam Boqvist55122
2Noah JuulsenPhilip Broberg45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Max JonesBrett HowdenTravis BoydSebastien AhoAdam Boqvist
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Max JonesBrett HowdenTravis BoydSebastien AhoAdam Boqvist
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jonas Rondbjerg, Oliver Wahlstrom, Nils AmanJonas Rondbjerg, Oliver WahlstromNils Aman
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adam Ginning, Jack Rathbone, Noah JuulsenAdam GinningJack Rathbone, Noah Juulsen
Tirs de Pénalité
Travis Boyd, Brett Howden, Adam Ruzicka, Wade Allison, Oliver Wahlstrom
Gardien
#1 : Dylan Wells, #2 : Robin Lehner


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
1Bandits3200001015961100000021121000010138561.00015243900173132486161181201158442256313430.77%10370.00%023336264.36%22134963.32%18029261.64%337168419159332172
2CoolFm2110000011741010000023-11100000094520.5001119300017313247516118120115763119496466.67%70100.00%023336264.36%22134963.32%18029261.64%337168419159332172
3Goons3100110015123110000007432000110088050.83315254000173132490161181201159339316713538.46%8187.50%023336264.36%22134963.32%18029261.64%337168419159332172
4Grizzlies11000000523110000005230000000000021.000591400173132433161181201151864155360.00%220.00%023336264.36%22134963.32%18029261.64%337168419159332172
5Hunters1010000015-41010000015-40000000000000.000123001731324211611812011521655113133.33%5180.00%023336264.36%22134963.32%18029261.64%337168419159332172
6Husky21000100871210001008710000000000030.7508142200173132467161181201156518856300.00%4250.00%023336264.36%22134963.32%18029261.64%337168419159332172
7Igloos10001000541100010005410000000000021.0005712001731324341611812011527102124375.00%10100.00%023336264.36%22134963.32%18029261.64%337168419159332172
8Smirnoff Ice11000000725000000000001100000072521.000712190017313242916118120115371410159444.44%5260.00%023336264.36%22134963.32%18029261.64%337168419159332172
9Snowbirds1010000045-1000000000001010000045-100.0004610001731324381611812011536142213133.33%110.00%023336264.36%22134963.32%18029261.64%337168419159332172
10Thugs11000000743110000007430000000000021.0007121900173132433161181201154298163266.67%40100.00%023336264.36%22134963.32%18029261.64%337168419159332172
Total1894022108363201053011003934584101110442915260.7228313521800173132455016118120115546208170352662943.94%501472.00%023336264.36%22134963.32%18029261.64%337168419159332172
12Twins11000000321000000000001100000032121.000336001731324271611812011525821411100.00%110.00%023336264.36%22134963.32%18029261.64%337168419159332172
13Wolves1010000024-21010000024-20000000000000.000224001731324171611812011522114133133.33%2150.00%023336264.36%22134963.32%18029261.64%337168419159332172
_Since Last GM Reset1894022108363201053011003934584101110442915260.7228313521800173132455016118120115546208170352662943.94%501472.00%023336264.36%22134963.32%18029261.64%337168419159332172
_Vs Conference147202210674819842011003026463001110372215220.7866711217900173132443516118120115421166154288562442.86%421173.81%023336264.36%22134963.32%18029261.64%337168419159332172
_Vs Division125202210554411732011002524152001110302010180.750559114600173132437316118120115366146140258421740.48%35780.00%023336264.36%22134963.32%18029261.64%337168419159332172

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1826L18313521855054620817035200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
189422108363
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
105311003934
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
84111104429
Derniers 10 Matchs
WLOTWOTL SOWSOL
622000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
662943.94%501472.00%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
161181201151731324
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
23336264.36%22134963.32%18029261.64%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
337168419159332172


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 - 2024-04-0713Husky4Xpress3LXSommaire du Match
3 - 2024-04-0824Xpress6Bandits5WXXSommaire du Match
5 - 2024-04-1044Husky3Xpress5WSommaire du Match
7 - 2024-04-1264CoolFm3Xpress2LSommaire du Match
9 - 2024-04-1490Xpress7Smirnoff Ice2WSommaire du Match
10 - 2024-04-1595Thugs4Xpress7WSommaire du Match
11 - 2024-04-16111Xpress4Goons5LXSommaire du Match
12 - 2024-04-17127Xpress4Snowbirds5LSommaire du Match
14 - 2024-04-19141Bandits1Xpress2WSommaire du Match
15 - 2024-04-20156Xpress9CoolFm4WSommaire du Match
16 - 2024-04-21169Igloos4Xpress5WXSommaire du Match
17 - 2024-04-22182Xpress7Bandits3WSommaire du Match
19 - 2024-04-24202Goons4Xpress7WSommaire du Match
21 - 2024-04-26220Hunters5Xpress1LSommaire du Match
23 - 2024-04-28239Xpress3Twins2WSommaire du Match
24 - 2024-04-29250Grizzlies2Xpress5WSommaire du Match
25 - 2024-04-30267Xpress4Goons3WXSommaire du Match
27 - 2024-05-02282Wolves4Xpress2LSommaire du Match
29 - 2024-05-04302Xpress-Saguenéens-
30 - 2024-05-05312Xpress-Wolves-
31 - 2024-05-06323CoolFm-Xpress-
32 - 2024-05-07341Husky-Xpress-
34 - 2024-05-09360Xpress-Vipers-
35 - 2024-05-10374Igloos-Xpress-
37 - 2024-05-12390Xpress-Grizzlies-
38 - 2024-05-13408Barracudas-Xpress-
40 - 2024-05-15427Xpress-Thugs-
41 - 2024-05-16437Marlies-Xpress-
43 - 2024-05-18452Xpress-Marlies-
44 - 2024-05-19467Rockets-Xpress-
46 - 2024-05-21489Xpress-Predateurs-
47 - 2024-05-22499Hunters-Xpress-
48 - 2024-05-23512Xpress-Vandals-
50 - 2024-05-25532Bayou-Xpress-
51 - 2024-05-26551Xpress-Supreme-
52 - 2024-05-27560Xpress-Bandits-
53 - 2024-05-28569Goons-Xpress-
55 - 2024-05-30584Xpress-TigersCats-
57 - 2024-06-01603Supreme-Xpress-
59 - 2024-06-03621Xpress-CoolFm-
60 - 2024-06-04633Vandals-Xpress-
61 - 2024-06-05647Xpress-Rockets-
63 - 2024-06-07664Chiwawa-Xpress-
65 - 2024-06-09688Marmots-Xpress-
66 - 2024-06-10702Xpress-Raptors-
67 - 2024-06-11717Farmers-Xpress-
69 - 2024-06-13736Xpress-Spartans-
70 - 2024-06-14744Xpress-Chiwawa-
71 - 2024-06-15758Vipers-Xpress-
72 - 2024-06-16780Outlaws-Xpress-
73 - 2024-06-17789Xpress-Warriors-
74 - 2024-06-18809Xpress-Barracudas-
75 - 2024-06-19820Warriors-Xpress-
77 - 2024-06-21831Xpress-Husky-
78 - 2024-06-22852Twins-Xpress-
79 - 2024-06-23868Xpress-Scorpions-
81 - 2024-06-25882Xpress-Igloos-
82 - 2024-06-26891Snowbirds-Xpress-
84 - 2024-06-28913Smirnoff Ice-Xpress-
86 - 2024-06-30931Xpress-Outlaws-
87 - 2024-07-01943Bandits-Xpress-
89 - 2024-07-03958Xpress-Hunters-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04970Thugs-Xpress-
92 - 2024-07-06994Scorpions-Xpress-
93 - 2024-07-071005Xpress-Igloos-
95 - 2024-07-091025Xpress-Bayou-
96 - 2024-07-101038TigersCats-Xpress-
98 - 2024-07-121052Xpress-Husky-
99 - 2024-07-131063Predateurs-Xpress-
101 - 2024-07-151087Xpress-Farmers-
103 - 2024-07-171094Spartans-Xpress-
106 - 2024-07-201121Raptors-Xpress-
107 - 2024-07-211140Xpress-Hunters-
108 - 2024-07-221143Xpress-Marmots-
110 - 2024-07-241157Saguenéens-Xpress-
111 - 2024-07-251162Xpress-Marmots-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance19,9429,953
Assistance PCT99.71%99.53%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
28 2990 - 99.65% 101,672$1,016,718$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,100,398$ 3,702,000$ 3,702,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 861,449$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,846,810$ 86 41,611$ 3,578,546$




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
45824230042223393043541221502101178155234120150212116114912100339526865116513013811241562692184644247078057014462667126.69%2115872.51%5997160462.16%950153262.01%837135561.77%146076120946831397725
468235230972632029723412114023101631471641149074161571507105320507827157011812116259668191197162238877559515342418234.02%2265774.78%91025163562.69%932157359.25%771129259.67%150178320456941438738
471894022108363201053011003934584101110442915268313521800173132455016118120115546208170352662943.94%501472.00%023336264.36%22134963.32%18029261.64%337168419159332172
Total Saison Régulière18286570151158742664789248320551138033644903825010647362328342317421168191026152279291315561146820132018121540417631335333257318231.76%48712973.51%142255360162.62%2103345460.89%1788293960.84%329917134560153731681637
Séries
4523121100000999451257000005052-21174000004942724991532520022364107591842633120785289176359842327.38%622264.52%029651457.59%27846459.91%23939161.13%439243546195395200
Total Séries23121100000999451257000005052-21174000004942724991532520022364107591842633120785289176359842327.38%622264.52%029651457.59%27846459.91%23939161.13%439243546195395200