Association Québécoise de Hockey Simulé - Vipers 

Vipers

GP: 14 | W: 9 | L: 4 | OTL: 1 | P: 19
GF: 50 | GA: 43 | PP%: 21.05% | PK%: 75.00%
DG: Martin Sauvageau | Morale : 90 | Moyenne d'Équipe : 56
Prochain matchs #216 vs Twins
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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
1Denis MalginX100.00704592835155785830506661688674090610
2Darren Raddysh (R)X100.00744590796369405230485658668777090580
3Frederik GauthierX100.00504595719650404530405055508875090550
4Nolan Foote (R)X100.00514595767050404730405455508269090540
5Nail YakupovX100.00504595766250404530405055509077090530
6Nolan PatrickX100.00504595767150404530405055508572090530
7Tyler EnnisX100.00504595804050404530405055509481090520
8Cale Fleury (R)X100.00784592756555404730445057508472090590
9Dan RenoufX100.00504595766250404530405057508876090570
10Lassi Thomson (R)X100.00504590775650404530405058508270090560
11Trevor Murphy (R)X100.00504595784750404530405055508875090560
Rayé
MOYENNE D'ÉQUIPE100.0057459477625343473042525653877409056
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
1Oscar Dansk100.0070404089656565656565658673090580
2Michael McNiven (R)100.0070404086656565656565658471090580
Rayé
1Malcolm Subban82.7370404091656565656565658876090590
MOYENNE D'ÉQUIPE94.007040408965656565656565867309058
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner65656565877766CAN5331,000,000$


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
1Darren RaddyshVipers (ANA)RW12961540015766174513.64%924120.113361126101391028.57%72011001.2401000421
2Nolan FooteVipers (ANA)C14639-2007123022720.00%120614.78000124000001136.48%15954000.8700000130
3Tyler EnnisVipers (ANA)LW12268340651671812.50%017514.6600009000001033.33%653000.9100000001
4Nolan PatrickVipers (ANA)C14516200511122841.67%118112.96000111000010041.18%10262000.6600000101
5Filip ZadinaAnaheim IcehawksLW7145400611194125.26%410114.4700000000170050.00%831000.9901000021
6Nail YakupovVipers (ANA)RW12224-1201513187911.11%319316.1400012400000100.00%955000.4100000102
7Frederik GauthierVipers (ANA)C124040206172031020.00%121017.52202526000042043.54%20914000.3801000001
8Paul CotterAnaheim IcehawksRW403314092125120.00%08621.7300037000060046.43%2831000.6901000000
9Lassi ThomsonVipers (ANA)D14033-175205210.00%420214.47000060000200100.00%136000.3000100000
10Derrick PouliotAnaheim IcehawksD10123511571217855.88%824624.64000128000021000.00%0214000.2400001010
11Cale FleuryVipers (ANA)D5022400525040.00%411222.4800007000010000.00%003000.3600000000
12Dan RenoufVipers (ANA)D120223554410430.00%422518.81000121000017000.00%018000.1800100000
13Denis MalginVipers (ANA)RW6112-3408714077.14%29916.5600006000170060.00%1042000.4001000000
14Trevor MurphyVipers (ANA)D7022-100353220.00%213218.89000070000100066.67%303000.3000000100
15Spencer FooAnaheim IcehawksLW2000200011020.00%13216.180000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne143313768203915981092486316512.50%44244817.12538242061015996140.77%5425867000.5605201887
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
1Malcolm SubbanVipers (ANA)137410.8753.026760134271150001.00061213111
2Michael McNivenVipers (ANA)10000.8424.1943003199000.000010000
Stats d'équipe Total ou en Moyenne147410.8723.087200137290159001.00061313111


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
Cale FleuryVipers (ANA)D241998-11-19Yes204 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm700,000$0$0$No
Dan RenoufVipers (ANA)D291994-06-01No198 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm700,000$0$0$No
Darren RaddyshVipers (ANA)RW271996-02-28Yes200 Lbs6 ft1NoNoNo5Avec RestrictionPro & Farm1,000,000$0$0$No
Denis MalginVipers (ANA)RW261997-01-18No182 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm750,000$0$0$No
Frederik GauthierVipers (ANA)C281995-04-26No239 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm750,000$0$0$No
Lassi ThomsonVipers (ANA)D232000-09-24Yes190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm1,100,000$0$0$No
Malcolm Subban (Sur la Masse Salariale)Vipers (ANA)G291993-12-21No215 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,250,000$0$0$Yes
Michael McNivenVipers (ANA)G261997-07-09Yes199 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Nail YakupovVipers (ANA)RW291993-10-12No195 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm750,000$0$0$No
Nolan FooteVipers (ANA)C222000-11-29Yes196 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$No
Nolan PatrickVipers (ANA)C251998-09-19No201 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$No
Oscar DanskVipers (ANA)G291994-02-28No204 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm750,000$0$0$No
Trevor MurphyVipers (ANA)D271995-10-12Yes180 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Tyler EnnisVipers (ANA)LW331989-10-06No160 Lbs5 ft9NoNoNo1Sans RestrictionPro & Farm1,000,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1426.93197 Lbs6 ft12.36875,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Darren RaddyshFrederik Gauthier35122
2Nail YakupovNolan Foote30122
3Tyler EnnisNolan Patrick25122
4Darren Raddysh10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
135122
2Dan Renouf30122
3Lassi Thomson25122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Darren RaddyshFrederik Gauthier55122
2Nail YakupovNolan Foote45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Dan Renouf45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Darren Raddysh45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Dan Renouf45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
245122Dan Renouf45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Darren Raddysh45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Dan Renouf45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Darren RaddyshFrederik Gauthier
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Darren RaddyshFrederik Gauthier
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nolan Patrick, Tyler Ennis, Frederik GauthierNolan Patrick, Tyler EnnisFrederik Gauthier
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lassi Thomson, Dan Renouf, Lassi ThomsonDan Renouf,
Tirs de Pénalité
, , , Darren Raddysh, Frederik Gauthier
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
1Barracudas2110000068-2110000003211010000036-320.5006111700813254486811517717371118297228.57%9455.56%09821944.75%10122245.50%7819739.59%302193313121231109
2Bayou21000100532110000004131000010012-130.75051015008132544568115177173392313133.33%10100.00%09821944.75%10122245.50%7819739.59%302193313121231109
3Outlaws1010000023-11010000023-10000000000000.0002460081325422681151771724947100.00%20100.00%09821944.75%10122245.50%7819739.59%302193313121231109
4Predateurs20101000810-21010000047-31000100043120.5008142200813254726811517717722338398112.50%9277.78%19821944.75%10122245.50%7819739.59%302193313121231109
5Rockets11000000202000000000001100000020221.0002350181325486811517717185218200.00%10100.00%09821944.75%10122245.50%7819739.59%302193313121231109
6Snowbirds1010000045-11010000045-10000000000000.0004812008132544168115177173112214200.00%10100.00%09821944.75%10122245.50%7819739.59%302193313121231109
7Supreme10001000541000000000001000100054121.00051015008132542868115177173815892150.00%4175.00%09821944.75%10122245.50%7819739.59%302193313121231109
Total1454031105043773300010252327210310025205190.679508913901813254371681151771734610010520738821.05%401075.00%19821944.75%10122245.50%7819739.59%302193313121231109
9Twins10000010541100000105410000000000021.0005510008132543768115177173451218200.00%6350.00%09821944.75%10122245.50%7819739.59%302193313121231109
10Vandals10001000431000000000001000100043121.000471100813254226811517717234421200.00%20100.00%09821944.75%10122245.50%7819739.59%302193313121231109
11Wolves22000000936110000003121100000062441.000917260081325448681151771736715219333.33%50100.00%09821944.75%10122245.50%7819739.59%302193313121231109
_Since Last GM Reset1454031105043773300010252327210310025205190.679508913901813254371681151771734610010520738821.05%401075.00%19821944.75%10122245.50%7819739.59%302193313121231109
_Vs Conference1344031104843573300010252326110310023203170.65448861340081325436368115177173289510318936822.22%391074.36%19821944.75%10122245.50%7819739.59%302193313121231109
_Vs Division1143021103934563200010211835110210018162150.6823968107008132542946811517717259689316632721.88%34973.53%19821944.75%10122245.50%7819739.59%302193313121231109

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1419OTW1508913937134610010520701
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
145431105043
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73300102523
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
72131002520
Derniers 10 Matchs
WLOTWOTL SOWSOL
531100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
38821.05%401075.00%1
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
6811517717813254
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
9821944.75%10122245.50%7819739.59%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
302193313121231109


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 - 2024-04-0610Outlaws3Vipers2LSommaire du Match
2 - 2024-04-0717Vipers4Predateurs3WXSommaire du Match
5 - 2024-04-1043Vipers4Vandals3WXSommaire du Match
6 - 2024-04-1148Twins4Vipers5WXXSommaire du Match
7 - 2024-04-1259Vipers2Rockets0WSommaire du Match
8 - 2024-04-1379Vipers1Bayou2LXSommaire du Match
9 - 2024-04-1493Wolves1Vipers3WSommaire du Match
11 - 2024-04-16115Snowbirds5Vipers4LSommaire du Match
12 - 2024-04-17128Vipers6Wolves2WSommaire du Match
13 - 2024-04-18140Vipers3Barracudas6LSommaire du Match
15 - 2024-04-20153Predateurs7Vipers4LSommaire du Match
17 - 2024-04-22172Bayou1Vipers4WSommaire du Match
19 - 2024-04-24196Barracudas2Vipers3WSommaire du Match
20 - 2024-04-25211Vipers5Supreme4WXSommaire du Match
21 - 2024-04-26216Vipers-Twins-
22 - 2024-04-27236Vipers-Hunters-
23 - 2024-04-28247Goons-Vipers-
25 - 2024-04-30265Husky-Vipers-
26 - 2024-05-01279Vipers-Twins-
28 - 2024-05-03293Vipers-Wolves-
29 - 2024-05-04309Bandits-Vipers-
30 - 2024-05-05322Vipers-Saguenéens-
32 - 2024-05-07337Snowbirds-Vipers-
34 - 2024-05-09360Xpress-Vipers-
35 - 2024-05-10376Vipers-TigersCats-
36 - 2024-05-11387Vipers-Barracudas-
38 - 2024-05-13403Twins-Vipers-
40 - 2024-05-15418Vipers-Husky-
41 - 2024-05-16431Spartans-Vipers-
43 - 2024-05-18450Chiwawa-Vipers-
44 - 2024-05-19466Vipers-Snowbirds-
45 - 2024-05-20483Vipers-Grizzlies-
46 - 2024-05-21493Vipers-Marlies-
47 - 2024-05-22496Outlaws-Vipers-
49 - 2024-05-24522Scorpions-Vipers-
51 - 2024-05-26543CoolFm-Vipers-
52 - 2024-05-27556Vipers-Goons-
53 - 2024-05-28576TigersCats-Vipers-
55 - 2024-05-30593Vipers-CoolFm-
57 - 2024-06-01601Vipers-Outlaws-
58 - 2024-06-02619Bayou-Vipers-
60 - 2024-06-04641Vipers-Chiwawa-
61 - 2024-06-05645Raptors-Vipers-
62 - 2024-06-06660Vipers-Raptors-
63 - 2024-06-07675Vipers-Spartans-
64 - 2024-06-08682Igloos-Vipers-
67 - 2024-06-11710Smirnoff Ice-Vipers-
68 - 2024-06-12725Vipers-Warriors-
69 - 2024-06-13740Hunters-Vipers-
71 - 2024-06-15758Vipers-Xpress-
72 - 2024-06-16771Predateurs-Vipers-
73 - 2024-06-17787Vipers-Igloos-
74 - 2024-06-18805Warriors-Vipers-
75 - 2024-06-19814Vipers-Farmers-
77 - 2024-06-21834Supreme-Vipers-
78 - 2024-06-22853Vipers-Outlaws-
79 - 2024-06-23864Farmers-Vipers-
82 - 2024-06-26887Vipers-Smirnoff Ice-
83 - 2024-06-27897Thugs-Vipers-
85 - 2024-06-29915Marlies-Vipers-
86 - 2024-06-30927Vipers-Rockets-
88 - 2024-07-02947Rockets-Vipers-
89 - 2024-07-03960Vipers-Vandals-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04969Vipers-Bayou-
91 - 2024-07-05985Saguenéens-Vipers-
93 - 2024-07-071009Marmots-Vipers-
95 - 2024-07-091026Vipers-Predateurs-
96 - 2024-07-101040Vipers-Marmots-
97 - 2024-07-111051Vandals-Vipers-
100 - 2024-07-141073Barracudas-Vipers-
103 - 2024-07-171099Grizzlies-Vipers-
105 - 2024-07-191115Vipers-Scorpions-
107 - 2024-07-211131Vandals-Vipers-
109 - 2024-07-231150Wolves-Vipers-
110 - 2024-07-241155Vipers-Thugs-
112 - 2024-07-261170Vipers-Bandits-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance14,0006,975
Assistance PCT100.00%99.64%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
31 2996 - 99.88% 101,936$713,550$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
419,073$ 1,225,000$ 1,225,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 239,863$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
3,160,007$ 93 19,690$ 1,831,170$




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
4582303208426276277-1411817040021411301141121504424135147-1290276473749414010312312227954679591555227472257111782475321.46%1973980.20%6720148948.35%696143248.60%638131548.52%1837123119256341209587
468233280510333133011241151302911150153-3411815031221631481595313525838126511912112231758884285552233378449013452545722.44%1965173.98%11698152245.86%682155543.86%636134147.43%1807116418666591302642
47145403110504377330001025232721031002520519508913901813254371681151771734610010520738821.05%401075.00%19821944.75%10122245.50%7819739.59%302193313121231109
Total Saison Régulière1786864016156963962118893633069233163061089323101064632331582046391087172654113235269284967120217521947124495316061166273053911821.89%43310076.91%181516323046.93%1479320946.09%1352285347.39%394725894105141527431339
Séries
4519109000007477-396300000353141046000003946-7207412720100172529360712521025715681212194288691724.64%681676.47%117139543.29%20842848.60%16531652.22%356201500157300150
Total Séries19109000007477-396300000353141046000003946-7207412720100172529360712521025715681212194288691724.64%681676.47%117139543.29%20842848.60%16531652.22%356201500157300150