Association Québécoise de Hockey Simulé - Vandals 

Vandals

GP: 20 | W: 8 | L: 9 | OTL: 3 | P: 19
GF: 68 | GA: 74 | PP%: 30.65% | PK%: 71.79%
DG: Pierre-Alexandre Racine | Morale : 90 | Moyenne d'Équipe : 58
Prochain matchs #318 vs Spartans
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Denis GurianovX96.00604591797466805630525955688575090620
2Vinnie HinostrozaX96.00504589855363406230685668698979090610
3Jakub Lauko (R)X98.00904882816450405730516460678370090600
4Martin Kaut (R)X95.00604592806552435430495968668370090590
5Jaret Anderson-DolanX100.00764594806453565630496257678371090590
6Egor Sokolov (R)X100.00514595748350404930445461508269090560
7Shane Bowers (R)X100.00504595786399404530405055508385090560
8Aleksi Heponiemi (R)X100.00504592824050405130485455658471090540
9Logan ShawX100.00504595747650404530405055509178090540
10Torey KrugX99.00604874895277766830736464709285090690
11Ben HuttonX100.00594590826767405830536268678979090650
12Calen Addison (R)X100.00524585904567756530745656708373090640
13Jordan OesterleX100.00634885815465635430545564669080090630
14Kyle CapobiancoX100.00594587776551405130406262658573090600
15Samuel Knazko (R)X100.00504595766265404530405065508070090590
16Vincent Iorio (R)X100.00504595766960404730445061508068090590
17Connor CarrickX100.00504595765670404730445055508980090580
Rayé
1Riley Tufte (R)X100.00524595729350404530405055508572090540
2Cam AtkinsonX100.00504595794650404530405055509481090530
3William Cuylle (R)X100.00545181747750404530405055508168090530
4Cameron Hughes (R)X100.00504595804450404530405055508774090520
5Tyce ThompsonX100.00504595795550404530405055508370090520
6Alex Barre-Boulet (R)X100.00504595785250404530405056508572090520
7Ryan Merkley (R)X100.00504595785450404530405055508370090560
8Nicolas Beaudin (R)X100.00504595804350404530405055508471090550
MOYENNE D'ÉQUIPE99.3655469179615846513047545958857409058
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
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Quenneville65656565997142CAN6521,250,000$


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
1Torey KrugVandals (SEA)D20822301240302866293212.12%1544922.4548121453000018000.00%12130001.3400000141
2Vinnie HinostrozaVandals (SEA)C18101222-560303279274212.66%1639121.7353811420000230041.60%3631216001.1201000105
3Jakub LaukoVandals (SEA)C197613-1140292660123611.67%933517.684157300001170045.07%2131111000.7711000112
4Denis GurianovVandals (SEA)RW188513-64037223692822.22%1139421.922245410001250044.87%78914000.6601000111
5Jaret Anderson-DolanVandals (SEA)C207613000202357123012.28%1232316.1901138000052148.98%1961521000.8001000200
6Calen AddisonVandals (SEA)D2021012-5406163313266.06%1438019.02134534000025000.00%0516000.6300000020
7Egor SokolovVandals (SEA)RW206511-120021212492325.00%535918.00134235000082144.44%1875000.6100000200
8Martin KautVandals (SEA)LW183710-9002419339139.09%1036020.041344400000241039.47%38716000.5511000010
9Aleksi HeponiemiVandals (SEA)RW20549340151429122017.24%530215.1100015000000054.55%11148000.6000000020
10Ben HuttonVandals (SEA)D2026808011212814117.14%2444422.21011853000028110.00%0329000.3600000101
11Jordan OesterleVandals (SEA)D20066-540151514760.00%1437718.89022334000027000.00%0527000.3200000001
12Kyle CapobiancoVandals (SEA)D19044-64012136440.00%327414.44000010000100100.00%1113000.2900000000
13Samuel KnazkoVandals (SEA)D20033-52071611350.00%428714.380000000001400100.00%1118000.2100000000
14Shane BowersVandals (SEA)C203035202924175417.65%733116.5800001000000041.18%8517000.1800000010
15Logan ShawVandals (SEA)LW18213-8401817107520.00%331917.73101230000040046.15%13514000.1900000000
16William CuylleVandals (SEA)LW1011100110000.00%066.820000000000000.00%000002.9300000000
17Connor CarrickVandals (SEA)D19000-420141000.00%41316.900000000000000.00%006000.0000000000
18Riley TufteVandals (SEA)LW2000-300031120.00%03618.0700003000000020.00%512000.0000000000
19Ryan MerkleyVandals (SEA)D1000-200010000.00%044.7300000000000050.00%211000.0000000000
20Vincent IorioVandals (SEA)D20000-6002136010.00%1020010.030000400006000.00%116000.0000000000
Stats d'équipe Total ou en Moyenne3336398161-7772030832951117328812.33%166571217.151927466542300022336344.05%1026120260000.562500091211
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
1Spencer KnightSeattle Kraken106220.8753.415810033263125100.0000100010
2Kasimir KaskisuoSeattle Kraken31200.8553.001800096229000.000030000
Stats d'équipe Total ou en Moyenne137420.8713.317610042325154100.0000130010


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
Aleksi HeponiemiVandals (SEA)RW241999-01-09Yes155 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm750,000$0$0$No
Alex Barre-BouletVandals (SEA)RW261997-05-21Yes180 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm850,000$0$0$No
Ben HuttonVandals (SEA)D301993-04-20No201 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm2,050,000$0$0$No
Calen AddisonVandals (SEA)D232000-04-11Yes173 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm4,000,000$0$0$No
Cam AtkinsonVandals (SEA)RW341989-06-05No176 Lbs5 ft8NoNoNo5Sans RestrictionPro & Farm4,150,000$0$0$No
Cameron HughesVandals (SEA)C261996-10-09Yes160 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm700,000$0$0$No
Connor CarrickVandals (SEA)D291994-04-13No198 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm700,000$0$0$No
Denis GurianovVandals (SEA)RW261997-06-07No205 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,500,000$0$0$No
Egor SokolovVandals (SEA)RW232000-06-07Yes222 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm850,000$0$0$No
Jakub LaukoVandals (SEA)C232000-03-28Yes196 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm850,000$0$0$No
Jaret Anderson-DolanVandals (SEA)C241999-09-12No200 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm950,000$0$0$No
Jordan OesterleVandals (SEA)D311992-06-25No187 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm2,550,000$0$0$No
Kyle CapobiancoVandals (SEA)D261997-08-13No201 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Logan ShawVandals (SEA)LW301992-10-05No208 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm2,050,000$0$0$No
Martin KautVandals (SEA)LW231999-10-02Yes190 Lbs6 ft2NoNoNo5Avec RestrictionPro & Farm2,150,000$0$0$No
Nicolas BeaudinVandals (SEA)D231999-10-07Yes168 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Riley TufteVandals (SEA)LW251998-04-10Yes230 Lbs6 ft6NoNoNo2Avec RestrictionPro & Farm750,000$0$0$No
Ryan MerkleyVandals (SEA)D232000-08-14Yes186 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm950,000$0$0$No
Samuel KnazkoVandals (SEA)D212002-08-07Yes198 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Shane BowersVandals (SEA)C241999-07-30Yes186 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Torey KrugVandals (SEA)D321991-04-12No194 Lbs5 ft9NoNoNo1Sans RestrictionPro & Farm5,500,000$0$0$No
Tyce ThompsonVandals (SEA)C241999-07-12No175 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm700,000$0$0$No
Vincent IorioVandals (SEA)D202002-11-14Yes200 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Vinnie HinostrozaVandals (SEA)C291994-04-03No183 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm2,550,000$0$0$No
William CuylleVandals (SEA)LW212002-02-05Yes211 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2525.60191 Lbs6 ft12.761,576,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Martin KautVinnie HinostrozaDenis Gurianov35122
2Logan ShawJakub LaukoEgor Sokolov30122
3Shane BowersJaret Anderson-DolanAleksi Heponiemi25122
4Denis GurianovShane BowersVinnie Hinostroza10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Torey KrugBen Hutton35122
2Calen AddisonJordan Oesterle30122
3Kyle CapobiancoSamuel Knazko25122
4Vincent IorioConnor Carrick10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Martin KautVinnie HinostrozaDenis Gurianov55122
2Logan ShawJakub LaukoEgor Sokolov45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Torey KrugBen Hutton55122
2Calen AddisonJordan Oesterle45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Denis GurianovVinnie Hinostroza55122
2Jakub LaukoMartin Kaut45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Torey KrugBen Hutton55122
2Calen AddisonJordan Oesterle45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Denis Gurianov55122Torey KrugBen Hutton55122
2Vinnie Hinostroza45122Calen AddisonJordan Oesterle45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Denis GurianovVinnie Hinostroza55122
2Jakub LaukoMartin Kaut45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Torey KrugBen Hutton55122
2Calen AddisonJordan Oesterle45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Martin KautVinnie HinostrozaDenis GurianovTorey KrugBen Hutton
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Martin KautVinnie HinostrozaDenis GurianovTorey KrugBen Hutton
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jaret Anderson-Dolan, Aleksi Heponiemi, Egor SokolovJaret Anderson-Dolan, Aleksi HeponiemiEgor Sokolov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kyle Capobianco, Samuel Knazko, Vincent IorioKyle CapobiancoSamuel Knazko, Vincent Iorio
Tirs de Pénalité
Denis Gurianov, Vinnie Hinostroza, Jakub Lauko, Martin Kaut, Jaret Anderson-Dolan
Gardien
#1 : , #2 :


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
1Bandits1010000035-2000000000001010000035-200.0003471093324418105221194132726123266.67%4250.00%017039143.48%17536148.48%12028142.70%340161502170367193
2Barracudas21100000862110000006241010000024-220.50081523009332445010522119413381514448225.00%7185.71%017039143.48%17536148.48%12028142.70%340161502170367193
3Bayou22000000835110000004131100000042241.0008142200933244701052211941338196413133.33%30100.00%017039143.48%17536148.48%12028142.70%340161502170367193
4Hunters1010000025-31010000025-30000000000000.0002350093324424105221194131866133133.33%3233.33%017039143.48%17536148.48%12028142.70%340161502170367193
5Igloos1010000035-21010000035-20000000000000.0003690093324426105221194133192174250.00%10100.00%017039143.48%17536148.48%12028142.70%340161502170367193
6Marlies10001000431000000000001000100043121.0004480093324427105221194133919015100.00%000.00%017039143.48%17536148.48%12028142.70%340161502170367193
7Outlaws2010010069-31010000024-21000010045-110.25068141093324461105221194134976309222.22%3166.67%017039143.48%17536148.48%12028142.70%340161502170367193
8Predateurs312000001314-120200000911-21100000043120.33313183100933244971052211941311139166710220.00%8362.50%017039143.48%17536148.48%12028142.70%340161502170367193
9Snowbirds10001000211000000000001000100021121.0002460093324421105221194133211816100.00%4175.00%017039143.48%17536148.48%12028142.70%340161502170367193
10TigersCats1000000134-1000000000001000000134-110.5003580093324417105221194131682192150.00%10100.00%017039143.48%17536148.48%12028142.70%340161502170367193
Total2069022016874-61036001003538-31033021013336-3190.47568105173209332445281052211941352016976335621930.65%391171.79%017039143.48%17536148.48%12028142.70%340161502170367193
12Twins2020000049-51010000024-21010000025-300.00045900933244541052211941355182297342.86%110.00%017039143.48%17536148.48%12028142.70%340161502170367193
13Vipers1000010034-11000010034-10000000000010.500358009332442310522119413226413200.00%20100.00%017039143.48%17536148.48%12028142.70%340161502170367193
14Wolves22000000963110000004221100000054141.0009142300933244401052211941344104199333.33%20100.00%017039143.48%17536148.48%12028142.70%340161502170367193
_Since Last GM Reset2069022016874-61036001003538-31033021013336-3190.47568105173209332445281052211941352016976335621930.65%391171.79%017039143.48%17536148.48%12028142.70%340161502170367193
_Vs Conference156601200535218340010030282732011002324-1160.5335383136109332444161052211941338912560259491326.53%30776.67%017039143.48%17536148.48%12028142.70%340161502170367193
_Vs Division146600200515108340010030282632001002123-2140.5005179130109332443951052211941335711452243481327.08%26676.92%017039143.48%17536148.48%12028142.70%340161502170367193

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2019L2681051735285201697633520
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
206922016874
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
103601003538
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
103321013336
Derniers 10 Matchs
WLOTWOTL SOWSOL
161101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
621930.65%391171.79%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
10522119413933244
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
17039143.48%17536148.48%12028142.70%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
340161502170367193


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 - 2024-04-062Vandals5Wolves4WSommaire du Match
3 - 2024-04-0822Predateurs5Vandals4LSommaire du Match
5 - 2024-04-1043Vipers4Vandals3LXSommaire du Match
6 - 2024-04-1154Vandals4Predateurs3WSommaire du Match
7 - 2024-04-1266Vandals2Snowbirds1WXSommaire du Match
8 - 2024-04-1378Barracudas2Vandals6WSommaire du Match
10 - 2024-04-1599Vandals4Bayou2WSommaire du Match
11 - 2024-04-16110Vandals2Barracudas4LSommaire du Match
12 - 2024-04-17121Twins4Vandals2LSommaire du Match
14 - 2024-04-19148Bayou1Vandals4WSommaire du Match
16 - 2024-04-21166Wolves2Vandals4WSommaire du Match
17 - 2024-04-22179Vandals4Outlaws5LXSommaire du Match
18 - 2024-04-23186Vandals2Twins5LSommaire du Match
20 - 2024-04-25205Outlaws4Vandals2LSommaire du Match
22 - 2024-04-27227Predateurs6Vandals5LSommaire du Match
23 - 2024-04-28238Vandals4Marlies3WXSommaire du Match
24 - 2024-04-29255Hunters5Vandals2LSommaire du Match
25 - 2024-04-30266Vandals3TigersCats4LXXSommaire du Match
27 - 2024-05-02281Vandals3Bandits5LSommaire du Match
28 - 2024-05-03298Igloos5Vandals3LSommaire du Match
30 - 2024-05-05318Spartans-Vandals-
31 - 2024-05-06328Vandals-Husky-
32 - 2024-05-07345Goons-Vandals-
34 - 2024-05-09354Vandals-Wolves-
35 - 2024-05-10370Vandals-Bayou-
37 - 2024-05-12391Vandals-Chiwawa-
38 - 2024-05-13400Thugs-Vandals-
39 - 2024-05-14415Vandals-Outlaws-
41 - 2024-05-16433Scorpions-Vandals-
43 - 2024-05-18448Vandals-Smirnoff Ice-
44 - 2024-05-19464CoolFm-Vandals-
45 - 2024-05-20480Chiwawa-Vandals-
47 - 2024-05-22497Vandals-Snowbirds-
48 - 2024-05-23512Xpress-Vandals-
50 - 2024-05-25533Grizzlies-Vandals-
51 - 2024-05-26548Vandals-Farmers-
52 - 2024-05-27565Raptors-Vandals-
53 - 2024-05-28574Vandals-Barracudas-
56 - 2024-05-31597Farmers-Vandals-
58 - 2024-06-02611Vandals-Thugs-
59 - 2024-06-03628Predateurs-Vandals-
60 - 2024-06-04633Vandals-Xpress-
62 - 2024-06-06656Vandals-Saguenéens-
63 - 2024-06-07671Outlaws-Vandals-
64 - 2024-06-08686Vandals-CoolFm-
66 - 2024-06-10701Rockets-Vandals-
67 - 2024-06-11720Bandits-Vandals-
68 - 2024-06-12724Vandals-Scorpions-
69 - 2024-06-13743Vandals-Rockets-
71 - 2024-06-15762Marmots-Vandals-
72 - 2024-06-16781Twins-Vandals-
74 - 2024-06-18797Vandals-Spartans-
75 - 2024-06-19810Vandals-Goons-
76 - 2024-06-20825Saguenéens-Vandals-
77 - 2024-06-21842TigersCats-Vandals-
78 - 2024-06-22851Vandals-Igloos-
81 - 2024-06-25876Barracudas-Vandals-
82 - 2024-06-26888Vandals-Marmots-
83 - 2024-06-27900Vandals-Supreme-
85 - 2024-06-29916Bayou-Vandals-
87 - 2024-07-01941Vandals-Raptors-
88 - 2024-07-02950Vandals-Grizzlies-
89 - 2024-07-03960Vipers-Vandals-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
91 - 2024-07-05980Vandals-Hunters-
92 - 2024-07-06990Warriors-Vandals-
93 - 2024-07-071012Supreme-Vandals-
95 - 2024-07-091030Marlies-Vandals-
96 - 2024-07-101035Vandals-Warriors-
97 - 2024-07-111051Vandals-Vipers-
100 - 2024-07-141075Smirnoff Ice-Vandals-
103 - 2024-07-171098Husky-Vandals-
106 - 2024-07-201123Wolves-Vandals-
107 - 2024-07-211131Vandals-Vipers-
109 - 2024-07-231149Snowbirds-Vandals-
110 - 2024-07-241159Vandals-Twins-
112 - 2024-07-261178Vandals-Predateurs-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4020
Assistance19,4798,090
Assistance PCT97.40%80.90%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
28 2757 - 91.90% 112,915$1,129,152$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,328,317$ 3,940,000$ 3,940,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,018,581$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
3,161,626$ 85 45,929$ 3,903,965$




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
4582283305664286306-2041151403243147143441131902421139163-2488286438724116010710816214351084576461254883551713252497530.12%2226769.82%7644148943.25%726162944.57%494125239.46%134963821927081449755
4682145006633238354-1164182402421120172-524162604212118182-64552383716091038949713210246979083035259584344714452296327.51%1947163.40%5635149842.39%709159544.45%537124243.24%141969320557211497766
472069022016874-61036001003538-31033021013336-31968105173209332445281052211941352016976335621930.65%391171.79%017039143.48%17536148.48%12028142.70%340161502170367193
Total Saison Régulière18448920131498592734-14292264405764302353-5192224808734290381-91162592914150641107234229334773108418561788109566318471040310554015729.07%45514967.25%121449337842.90%1610358544.91%1151277541.48%311014934750160033141715