Association Québécoise de Hockey Simulé - Warriors 

Warriors

GP: 27 | W: 11 | L: 15 | OTL: 1 | P: 23
GF: 89 | GA: 113 | PP%: 17.07% | PK%: 70.00%
DG: Jean-Olivier Guillemette | Morale : 90 | Moyenne d'Équipe : 59
Prochain matchs #428 vs Bayou
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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
1Brock McGinnX100.00714887815965915530486392678979090670
2Sonny MilanoX100.00594587866365776630686459708676090670
3Buddy RobinsonX100.00634590739459405130485464659180090590
4Josh DunneX100.00674587747950404530405067508471090560
5Rhett Gardner (R)X100.00504595747750404530405055508774090540
6Henrik BorgstromX100.00504595767150404530405059508572090540
7Maxim Letunov (R)X100.00504595786450404530405055508774090530
8Michael Dal Colle (R)X100.00504595767050404530405055508774090530
9Cameron Hillis (R)X100.00504595794850404530405055508370090520
10Brandon Biro (R)X100.00504595804950404530405055508572090520
11Nick Swaney (R)X100.00504595795150404530405056508572090520
12Brendan Smith (C)X100.00855466776565724830475076509484090660
13Ben Harpur (A)X100.00805182748859515130505364658876090640
14Christian WolaninX100.00504590806066405130525064658878090610
15Mike ReillyX100.00704592766170404730445055508980090600
16Zachary Hayes (R)X100.00504595737650404530405055508471090570
17Filip Kral (R)X100.00504592766450404530405060508370090570
Rayé
1Walker Duehr (R)X100.00934591817551406230527158698572090630
2Cole Guttman (R)X100.00504592854373405782486669678476090620
3Stefan MatteauX100.00504595747450404530405055508976090540
4Brayden Pachal (R)X100.00774584766669404930485064508374090620
5Lawrence PilutX100.00524595805653405230485670668775090610
6Tucker PoolmanX100.00504595766458404730445069508977090600
7Kristians Rubins (R)X100.00504595728450404530405055508673090580
8Jake BischoffX100.00504595776050404530405055508976090570
9Nelson NogierX100.00504595776050404530405055508774090570
MOYENNE D'ÉQUIPE100.0058469177665645493245536155877509058
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
1Zach Fucale100.0070404084656565656565658674090580
Rayé
1Craig Anderson100.0076608583757776777574999994090690
MOYENNE D'ÉQUIPE100.007350638470717171707082938409064
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lane Lambert95957891937454CAN5941,500,000$


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
1Buddy RobinsonWarriors (VAN)RW24101525-760403483296312.05%1345318.911458321126430052.17%233225001.1000000122
2Walker DuehrWarriors (VAN)RW191014247140492477275012.99%1639420.752575401124392146.55%582410011.2200000412
3Josh DunneWarriors (VAN)C2671118-7120513945203315.56%1052020.010333661012270038.93%5421022000.6900000201
4Stefan MatteauWarriors (VAN)LW249716-475232457194015.79%1248420.191124610002233031.82%222115000.6600010021
5Rhett GardnerWarriors (VAN)C206915-800142333111918.18%1030615.34224434000000147.68%323911000.9800000010
6Brock McGinnWarriors (VAN)RW1241014-142018314415449.09%1027823.171127290112301042.11%57178001.0101000011
7Henrik BorgstromWarriors (VAN)C277411-220223545172815.56%1340615.06101324000000142.37%2361411000.5400000203
8Brendan SmithWarriors (VAN)D261910-1762061364521252.22%4565025.010441074011139000.00%01134000.3100000000
9Christian WolaninWarriors (VAN)D19279-1401021209410.00%2336919.45000326011131000.00%0326000.4900000100
10Michael Dal ColleWarriors (VAN)LW27459-60027224821348.33%1244116.34213952000030042.86%211819000.4100000001
11Brandon BiroWarriors (VAN)LW27268-44025156118363.28%1039414.6300001000090041.67%241218000.4100000020
12Maxim LetunovWarriors (VAN)C27527-32010182141723.81%22459.07000040001121041.44%11124010.5700000101
13Ben HarpurWarriors (VAN)D21257-2110035403314226.06%3953925.71224458000148000.00%0627000.2600000000
14Mike ReillyWarriors (VAN)D27055-5753027226100.00%2251819.22000249000143000.00%0324000.1900001000
15Nick SwaneyWarriors (VAN)RW27314-919529243510228.57%1132712.1400003000000020.00%10178000.2400000010
16Cameron HillisWarriors (VAN)C27123-10010511369.09%01716.35000110000011054.29%3533000.3500000010
17Brayden PachalWarriors (VAN)D4033240335170.00%56015.080002700004000.00%005000.9900000000
18Sonny MilanoWarriors (VAN)LW2213-2006572328.57%14924.6900005000190031.82%2222001.2111000010
19Zachary HayesWarriors (VAN)D27022180171210740.00%1240915.1500004000023000.00%0214000.1000000010
20Filip KralWarriors (VAN)D2702252071814380.00%1340214.900000600008000.00%0316000.1000000000
Stats d'équipe Total ou en Moyenne44075120195-961651548745671625747510.47%279742416.8712233565593358224018342.32%1484209302020.5312011111312
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
1Zach FucaleWarriors (VAN)1981010.8794.1011282077634349001.0003190112
Stats d'équipe Total ou en Moyenne1981010.8794.1011282077634349001.0003190112


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
Ben HarpurWarriors (VAN)D281995-01-12No231 Lbs6 ft6NoNoNo4Sans RestrictionPro & Farm750,000$0$0$No
Brandon BiroWarriors (VAN)LW251998-03-11Yes170 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm1,551,000$0$0$No
Brayden PachalWarriors (VAN)D241999-08-23Yes203 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,551,000$0$0$No
Brendan SmithWarriors (VAN)D341989-02-08No200 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm1,025,000$0$0$No
Brock McGinnWarriors (VAN)RW291994-02-02No187 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm1,850,000$0$0$No
Buddy RobinsonWarriors (VAN)RW321991-09-30No232 Lbs6 ft6NoNoNo3Sans RestrictionPro & Farm851,000$0$0$No
Cameron HillisWarriors (VAN)C232000-06-24Yes175 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm1,551,000$0$0$No
Christian WolaninWarriors (VAN)D281995-03-17No190 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm750,000$0$0$No
Cole GuttmanWarriors (VAN)C241999-04-06Yes167 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm900,000$0$0$No
Craig AndersonWarriors (VAN)G421981-05-21No187 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,000,000$0$0$No
Filip KralWarriors (VAN)D231999-10-20Yes198 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Henrik BorgstromWarriors (VAN)C261997-08-06No199 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm750,000$0$0$No
Jake BischoffWarriors (VAN)D291994-07-25No194 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm700,000$0$0$No
Josh DunneWarriors (VAN)C241998-12-08No211 Lbs6 ft4NoNoNo5Avec RestrictionPro & Farm750,000$0$0$No
Kristians RubinsWarriors (VAN)D251997-12-11Yes227 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm1,551,000$0$0$No
Lawrence PilutWarriors (VAN)D271995-12-30No194 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm750,000$0$0$No
Maxim LetunovWarriors (VAN)C271996-02-20Yes180 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm700,000$0$0$No
Michael Dal ColleWarriors (VAN)LW271996-06-20Yes195 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm750,000$0$0$No
Mike ReillyWarriors (VAN)D301993-07-13No196 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm851,000$0$0$No
Nelson NogierWarriors (VAN)D261996-10-12No191 Lbs6 ft2NoNoNo5Avec RestrictionPro & Farm750,000$0$0$No
Nick SwaneyWarriors (VAN)RW261997-09-09Yes178 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Rhett GardnerWarriors (VAN)C271996-02-28Yes210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm700,000$0$0$No
Sonny MilanoWarriors (VAN)LW271996-05-12No194 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm2,250,000$0$0$No
Stefan MatteauWarriors (VAN)LW291994-02-23No208 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm750,000$0$0$No
Tucker PoolmanWarriors (VAN)D301993-06-08No199 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm851,000$0$0$No
Walker DuehrWarriors (VAN)RW251997-11-23Yes210 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,551,000$0$0$No
Zach FucaleWarriors (VAN)G281995-05-28No189 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm900,000$0$0$No
Zachary HayesWarriors (VAN)D241999-04-24Yes219 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm1,551,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2827.46198 Lbs6 ft22.681,051,214$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sonny MilanoJosh DunneBrock McGinn35122
2Michael Dal ColleHenrik BorgstromBuddy Robinson30122
3Brandon BiroRhett GardnerNick Swaney25122
4Sonny MilanoMaxim LetunovBrock McGinn10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brendan SmithBen Harpur35122
2Christian WolaninMike Reilly30122
3Filip KralZachary Hayes25122
4Brendan SmithBen Harpur10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sonny MilanoJosh DunneBrock McGinn55122
2Michael Dal ColleHenrik BorgstromBuddy Robinson45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brendan SmithBen Harpur55122
2Christian WolaninMike Reilly45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Sonny MilanoBrock McGinn55122
2Buddy RobinsonJosh Dunne45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brendan SmithBen Harpur55122
2Christian WolaninMike Reilly45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Sonny Milano55122Brendan SmithBen Harpur55122
2Brock McGinn45122Christian WolaninMike Reilly45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Sonny MilanoBrock McGinn55122
2Buddy RobinsonJosh Dunne45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brendan SmithBen Harpur55122
2Christian WolaninMike Reilly45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sonny MilanoJosh DunneBrock McGinnBrendan SmithBen Harpur
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sonny MilanoJosh DunneBrock McGinnBrendan SmithBen Harpur
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cameron Hillis, Rhett Gardner, Maxim LetunovCameron Hillis, Rhett GardnerMaxim Letunov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Filip Kral, Zachary Hayes, Christian WolaninFilip KralZachary Hayes, Christian Wolanin
Tirs de Pénalité
Sonny Milano, Brock McGinn, Buddy Robinson, Josh Dunne, Henrik Borgstrom
Gardien
#1 : Zach Fucale, #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
1Barracudas1010000035-21010000035-20000000000000.000369001737314261842822871026612125120.00%6266.67%023252444.27%24055942.93%18343542.07%494255646241486240
2Farmers330000001367110000004222200000094561.000132033001737314741842822871078241263800.00%60100.00%123252444.27%24055942.93%18343542.07%494255646241486240
3Grizzlies20101000710-3100010005411010000026-420.50071219001737314531842822871070211651400.00%8187.50%023252444.27%24055942.93%18343542.07%494255646241486240
4Marlies1010000023-1000000000001010000023-100.0002350017373142718428228710328616000.00%3233.33%023252444.27%24055942.93%18343542.07%494255646241486240
5Marmots2010100058-31010000026-41000100032120.500581300173731456184282287107929841100.00%4175.00%023252444.27%24055942.93%18343542.07%494255646241486240
6Outlaws10001000431100010004310000000000021.000461000173731427184282287104318711200.00%110.00%123252444.27%24055942.93%18343542.07%494255646241486240
7Raptors2110000012111110000006421010000067-120.5001221330017373147518428228710772712368112.50%6183.33%023252444.27%24055942.93%18343542.07%494255646241486240
8Rockets20200000512-71010000025-31010000037-400.00058130017373145918428228710591417337114.29%6266.67%023252444.27%24055942.93%18343542.07%494255646241486240
9Saguenéens40400000923-1420200000613-720200000310-700.00091221001737314941842822871012637219013323.08%8275.00%023252444.27%24055942.93%18343542.07%494255646241486240
10Smirnoff Ice3010011069-3200001104401010000025-330.500671300173731469184282287101024516586233.33%8537.50%023252444.27%24055942.93%18343542.07%494255646241486240
11Spartans21100000770110000005321010000024-220.500710170017373144818428228710612029279222.22%9277.78%123252444.27%24055942.93%18343542.07%494255646241486240
12Thugs2020000048-41010000034-11010000014-300.00046100017373147218428228710762222358112.50%11463.64%023252444.27%24055942.93%18343542.07%494255646241486240
13TigersCats220000001284110000006421100000064241.0001219310017373148118428228710742985411327.27%4175.00%123252444.27%24055942.93%18343542.07%494255646241486240
Total277150311089113-241446021105057-71339010003956-17230.4268913822700173731476118428228710903300186527821417.07%802470.00%423252444.27%24055942.93%18343542.07%494255646241486240
_Since Last GM Reset277150311089113-241446021105057-71339010003956-17230.4268913822700173731476118428228710903300186527821417.07%802470.00%423252444.27%24055942.93%18343542.07%494255646241486240
_Vs Conference1556021105056-6722011102325-2834010002731-4170.5675077127001737314419184282287104941708331637616.22%391269.23%223252444.27%24055942.93%18343542.07%494255646241486240
_Vs Division1556021105056-6722011102325-2834010002731-4170.5675077127001737314419184282287104941708331637616.22%391269.23%223252444.27%24055942.93%18343542.07%494255646241486240

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2723L18913822776190330018652700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
27715311089113
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
144621105057
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
133910003956
Derniers 10 Matchs
WLOTWOTL SOWSOL
351010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
821417.07%802470.00%4
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
184282287101737314
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
23252444.27%24055942.93%18343542.07%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
494255646241486240


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 - 2024-04-0714Warriors4Farmers3WSommaire du Match
3 - 2024-04-0828TigersCats4Warriors6WSommaire du Match
5 - 2024-04-1046Farmers2Warriors4WSommaire du Match
6 - 2024-04-1158Warriors2Saguenéens5LSommaire du Match
8 - 2024-04-1373Grizzlies4Warriors5WXSommaire du Match
9 - 2024-04-1489Warriors2Grizzlies6LSommaire du Match
10 - 2024-04-15104Marmots6Warriors2LSommaire du Match
12 - 2024-04-17119Warriors6TigersCats4WSommaire du Match
13 - 2024-04-18136Smirnoff Ice2Warriors1LXSommaire du Match
14 - 2024-04-19143Warriors3Marmots2WXSommaire du Match
16 - 2024-04-21165Warriors2Marlies3LSommaire du Match
17 - 2024-04-22177Saguenéens5Warriors3LSommaire du Match
19 - 2024-04-24197Rockets5Warriors2LSommaire du Match
20 - 2024-04-25213Warriors3Rockets7LSommaire du Match
22 - 2024-04-27226Warriors2Smirnoff Ice5LSommaire du Match
23 - 2024-04-28242Thugs4Warriors3LSommaire du Match
24 - 2024-04-29259Warriors2Spartans4LSommaire du Match
26 - 2024-05-01273Spartans3Warriors5WSommaire du Match
28 - 2024-05-03290Warriors6Raptors7LSommaire du Match
29 - 2024-05-04303Raptors4Warriors6WSommaire du Match
30 - 2024-05-05319Warriors5Farmers1WSommaire du Match
31 - 2024-05-06333Barracudas5Warriors3LSommaire du Match
33 - 2024-05-08352Outlaws3Warriors4WXSommaire du Match
34 - 2024-05-09366Warriors1Saguenéens5LSommaire du Match
36 - 2024-05-11381Warriors1Thugs4LSommaire du Match
37 - 2024-05-12396Smirnoff Ice2Warriors3WXXSommaire du Match
39 - 2024-05-14413Saguenéens8Warriors3LSommaire du Match
41 - 2024-05-16428Warriors-Bayou-
42 - 2024-05-17445Predateurs-Warriors-
44 - 2024-05-19470Marmots-Warriors-
45 - 2024-05-20481Warriors-Rockets-
46 - 2024-05-21494Warriors-Smirnoff Ice-
47 - 2024-05-22508Warriors-Predateurs-
49 - 2024-05-24520Farmers-Warriors-
50 - 2024-05-25540Supreme-Warriors-
52 - 2024-05-27561Wolves-Warriors-
53 - 2024-05-28572Warriors-Supreme-
55 - 2024-05-30588Warriors-Twins-
57 - 2024-06-01605Snowbirds-Warriors-
58 - 2024-06-02615Warriors-Goons-
60 - 2024-06-04634Hunters-Warriors-
61 - 2024-06-05650Warriors-Marlies-
63 - 2024-06-07666Husky-Warriors-
64 - 2024-06-08684Grizzlies-Warriors-
65 - 2024-06-09695Warriors-Wolves-
67 - 2024-06-11715Warriors-CoolFm-
68 - 2024-06-12725Vipers-Warriors-
70 - 2024-06-14749Twins-Warriors-
71 - 2024-06-15764Warriors-Grizzlies-
72 - 2024-06-16769Warriors-Marmots-
73 - 2024-06-17789Xpress-Warriors-
74 - 2024-06-18805Warriors-Vipers-
75 - 2024-06-19820Warriors-Xpress-
76 - 2024-06-20830Scorpions-Warriors-
78 - 2024-06-22850Warriors-Barracudas-
79 - 2024-06-23861Igloos-Warriors-
81 - 2024-06-25880Rockets-Warriors-
83 - 2024-06-27902Warriors-Igloos-
84 - 2024-06-28914Bandits-Warriors-
86 - 2024-06-30930Warriors-Bandits-
87 - 2024-07-01944Marlies-Warriors-
89 - 2024-07-03962Goons-Warriors-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04976Warriors-Scorpions-
92 - 2024-07-06990Warriors-Vandals-
93 - 2024-07-071006TigersCats-Warriors-
94 - 2024-07-081019Warriors-TigersCats-
96 - 2024-07-101035Vandals-Warriors-
98 - 2024-07-121055Warriors-Chiwawa-
99 - 2024-07-131067Marlies-Warriors-
101 - 2024-07-151080Warriors-Husky-
103 - 2024-07-171092Warriors-Outlaws-
104 - 2024-07-181109Chiwawa-Warriors-
106 - 2024-07-201125Warriors-Snowbirds-
107 - 2024-07-211139Bayou-Warriors-
110 - 2024-07-241152CoolFm-Warriors-
111 - 2024-07-251166Warriors-Hunters-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets8030
Assistance12,9427,594
Assistance PCT46.22%54.24%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
24 1467 - 48.90% 108,273$1,515,816$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,617,533$ 2,943,400$ 2,943,400$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,086,573$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,598,542$ 73 39,322$ 2,870,506$




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
4582283802833282301-1941141801521142149-741142001312140152-127728246875011451051278244052891797740252484052614372356929.36%2175475.12%4695162442.80%790169046.75%556127843.51%143677521607001360658
4682353007541326289374118140233116914623411716052101571431498326532858315311115113231154278696038240583141114002427028.93%1834475.96%4632149642.25%691156244.24%577128245.01%148581120877011393688
47277150311089113-241446021105057-71339010003956-17238913822700173731476118428228710903300186527821417.07%802470.00%423252444.27%24055942.93%18343542.07%494255646241486240
Total Saison Régulière19170830121484697703-696363805962361352995344507522336351-15198697113818354211525330925551212541985222488583219711123336455915327.37%48012274.58%121559364442.78%1721381145.16%1316299543.94%341618424894164332391587