Connexion

Shokers
GP: 37 | W: 10 | L: 24 | OTL: 3 | P: 23
GF: 148 | GA: 229 | PP%: 36.84% | PK%: 37.72%
DG: Maxime Jean | Morale : 39 | Moyenne d’équipe : 69
Prochains matchs #448 vs Monkeys
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Centre de jeu
Shokers
10-24-3, 23pts
5
FINAL
4 L'Euphorie
15-20-1, 31pts
Team Stats
L1SéquenceL3
5-11-3Fiche domicile8-10-1
5-13-0Fiche domicile7-10-0
4-5-1Derniers 10 matchs5-4-1
4.00Buts par match 3.78
6.19Buts contre par match 5.50
36.84%Pourcentage en avantage numérique39.56%
37.72%Pourcentage en désavantage numérique52.42%
Distraction
32-3-2, 66pts
6
FINAL
1 Shokers
10-24-3, 23pts
Team Stats
W2SéquenceL1
17-0-1Fiche domicile5-11-3
15-3-1Fiche domicile5-13-0
7-3-0Derniers 10 matchs4-5-1
6.81Buts par match 4.00
2.59Buts contre par match 6.19
57.67%Pourcentage en avantage numérique36.84%
72.41%Pourcentage en désavantage numérique37.72%
Shokers
10-24-3, 23pts
Jour 64
Monkeys
25-12-0, 50pts
Statistiques d’équipe
L1SéquenceL3
5-11-3Fiche domicile14-4-0
5-13-0Fiche visiteur11-8-0
4-5-110 derniers matchs6-4-0
4.00Buts par match 6.68
6.19Buts contre par match 6.68
36.84%Pourcentage en avantage numérique57.14%
37.72%Pourcentage en désavantage numérique52.81%
Shokers
10-24-3, 23pts
Jour 66
L'Euphorie
15-20-1, 31pts
Statistiques d’équipe
L1SéquenceL3
5-11-3Fiche domicile8-10-1
5-13-0Fiche visiteur7-10-0
4-5-110 derniers matchs5-4-1
4.00Buts par match 3.78
6.19Buts contre par match 3.78
36.84%Pourcentage en avantage numérique39.56%
37.72%Pourcentage en désavantage numérique52.42%
L'Euphorie
15-20-1, 31pts
Jour 68
Shokers
10-24-3, 23pts
Statistiques d’équipe
L3SéquenceL1
8-10-1Fiche domicile5-11-3
7-10-0Fiche visiteur5-13-0
5-4-110 derniers matchs4-5-1
3.78Buts par match 4.00
5.50Buts contre par match 4.00
39.56%Pourcentage en avantage numérique36.84%
52.42%Pourcentage en désavantage numérique37.72%
Meneurs d'équipe
Buts
Mike Amadio
10
Passes
Dante Fabbro
17
Points
Derick Brassard
25
Plus/Moins
Brett Leason
-4

Statistiques d’équipe
Buts pour
148
4.00 GFG
Tirs pour
967
26.14 Avg
Pourcentage en avantage numérique
36.8%
42 GF
Début de zone offensive
29.4%
Buts contre
229
6.19 GAA
Tirs contre
1145
30.95 Avg
Pourcentage en désavantage numérique
37.7%%
71 GA
Début de la zone défensive
26.3%
Informations de l'équipe

Directeur généralMaxime Jean
EntraîneurBob Boughner
DivisionRoy
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro16
Équipe Mineure20
Limite contact 36 / 55
Espoirs22


Historique d'équipe

Saison actuelle10-24-3 (23PTS)
Historique188-76-11 (0.684%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)12-14
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Derick BrassardXX100.0085648986857868726668767067948505572N0361785,000$
2Rudolfs Balcers (R)X100.009057938483816774507176805670740437202711,550,000$
3Christian Fischer (R)X100.0087649482888090705068727953747605071N02711,875,000$
4Sonny MilanoXX100.007259949477787176507873695172750517102811,700,000$
5Mike Amadio (R)X100.00755896858178747461687975557576052710282762,500$
6Michael McLeod (R)XX100.008860888883788869907563815072740577102611,425,000$
7Anders Bjork (R)X100.007152968877794073507570755072740547002711,600,000$
8Jordan GreenwayX100.0089679181917969665064677550747705169N02731,000,000$
9Brett Leason (R)X100.00726994798676596650636866506870051660252925,000$
10Givani Smith (R)X100.00908658858873406350646170506970054650261750,000$
11Max JonesX100.007867708687754061506062645069710546402621,295,000$
12Dante Fabbro (R)X99.008558869180839065506663765072760557102512,400,000$
13Robert HaggX100.0094628585898143665067657050747504370N0291875,000$
14Gavin BayreutherX100.00795890848181586850716470506971054700301750,000$
15Travis DermottX100.0077659585818166675066676850737405169N0271675,000$
16Jamie Drysdale (R)X100.007652949276834060506060665069720546602211,775,000$
Rayé
MOYENNE D’ÉQUIPE99.9482628886837963685468687252737405269
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 SPÂgeContratSalaire
Rayé
MOYENNE D’ÉQUIPE0.000000000000000000
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner86777587757099CAN531550,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Derick BrassardShokers (WLV)C/LW14101525-16115221857192617.54%1232423.15461012450110180067.92%3991510001.5400001110
2Dante FabbroShokers (WLV)D1751722-1115527166016248.33%2744626.284481262022223010%01229010.9800001200
3Sonny MilanoShokers (WLV)LW/RW1471219-9115231046102115.22%524917.80347441000001069.23%13177011.5200010111
4Rudolfs BalcersShokers (WLV)LW1141014-95518134710298.51%224222.012688421012171166.67%9138001.1600100012
5Christian FischerShokers (WLV)RW1431013-162028113118249.68%625618.29145441000000075.00%12412001.0200000001
6Anders BjorkShokers (WLV)LW145813-80014948202610.42%421615.5001109000010066.67%698001.2000000011
7Michael McLeodShokers (WLV)C/RW148513-1195211748212016.67%1128720.544156461014102057.14%21116000.9000001010
8Mike AmadioShokers (WLV)C1110212-1020151142121623.81%620919.00314636000061068.66%13448011.1500000210
9Jon MerrillWolverinesD12088-12191515202110130%1631226.03044143022019000%0615000.5100003000
10Jordan GreenwayShokers (WLV)LW14426-9401472551616.00%921415.3000000000000061.54%39313010.5600000200
11Brett LeasonShokers (WLV)RW14426-4551192161219.05%320414.6100003101190045.45%1165000.5900010002
12Robert HaggShokers (WLV)D10044-81001267210%1319619.6101112000005000%0214000.4100000000
13Travis DermottShokers (WLV)D14033-720685110%1218012.920001300001000%0122000.3300000000
14Jamie DrysdaleShokers (WLV)D14022-700473120%1118713.3800001000011000%027000.2100000000
15Morgan GeekieWolverinesC3101-2003484412.50%34816.2400000000000055.00%2001000.4100000000
16Givani SmithShokers (WLV)RW14011-600815150%3735.250110000000000%041000.2700000000
17Max JonesShokers (WLV)LW14000-5201634010%2835.9700006000060066.67%151000000000000
18Gavin BayreutherShokers (WLV)D14000-112010117270%1729120.81000034000012000%021900000000000
Statistiques d’équipe totales ou en moyenne23261101162-161994526718148515824812.58%162402417.352133545544135891475266.72%679112185040.8100126867
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


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Anders BjorkShokers (WLV)LW271996-08-05 16:07:09Yes190 Lbs6 ft0NoNoTrade2024-02-21NoNo1Pro & Farm1,600,000$853,333$0$0$No------------------Lien
Brett LeasonShokers (WLV)RW251999-04-30 01:53:17Yes218 Lbs6 ft5NoNoFree AgentNoNo22024-03-08Pro & Farm925,000$493,333$0$0$No925,000$--------No--------
Christian FischerShokers (WLV)RW271997-04-15 07:25:31Yes214 Lbs6 ft2YesNoFree AgentNoNo12024-03-25Pro & Farm1,875,000$1,000,000$0$0$No------------------Lien
Dante FabbroShokers (WLV)D251998-06-20 04:03:16Yes189 Lbs6 ft0NoNoN/ANoNo1Pro & Farm2,400,000$1,280,000$0$0$No------------------Lien
Derick BrassardShokers (WLV)C/LW361987-09-22 09:26:19No202 Lbs6 ft1YesNoFree AgentNoNo12024-03-25Pro & Farm785,000$418,667$0$0$No------------------Lien
Gavin BayreutherShokers (WLV)D301994-05-12 12:31:42No196 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$400,000$0$0$No------------------
Givani SmithShokers (WLV)RW261998-02-27 01:58:07Yes214 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$400,000$0$0$No------------------
Jamie DrysdaleShokers (WLV)D222002-04-08 10:06:23Yes185 Lbs5 ft11NoNoTrade2024-04-21NoNo1Pro & Farm1,775,000$946,667$0$0$No------------------
Jordan GreenwayShokers (WLV)LW271997-02-16 07:18:00No225 Lbs6 ft6YesNoFree AgentNoNo32024-03-25Pro & Farm1,000,000$533,333$0$0$No1,000,000$1,000,000$-------YesYes-------Lien
Max JonesShokers (WLV)LW261998-02-17 07:10:48No220 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,295,000$690,667$0$0$No1,295,000$--------No--------Lien
Michael McLeodShokers (WLV)C/RW261998-02-03 15:13:15Yes190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,425,000$760,000$0$0$No------------------Lien
Mike AmadioShokers (WLV)C281996-05-13 15:14:12Yes204 Lbs6 ft1NoNoTrade2024-04-21NoNo22024-03-03Pro & Farm762,500$406,667$0$0$No762,500$--------No--------Lien
Robert HaggShokers (WLV)D291995-02-08 06:41:33No204 Lbs6 ft2YesNoFree AgentNoNo12024-04-01Pro & Farm875,000$466,667$0$0$No------------------Lien
Rudolfs BalcersShokers (WLV)LW271997-04-08 03:01:43Yes180 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,550,000$826,667$0$0$No------------------Lien
Sonny MilanoShokers (WLV)LW/RW281996-05-12 06:51:27No194 Lbs6 ft0NoNoFree AgentNoNo12024-03-03Pro & Farm1,700,000$906,667$0$0$No------------------Lien
Travis DermottShokers (WLV)D271996-12-22 17:34:13No204 Lbs6 ft0YesNoFree AgentNoNo12024-04-21Pro & Farm675,000$360,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1627.25202 Lbs6 ft11.311,258,906$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rudolfs BalcersDerick BrassardMichael McLeod40122
2Sonny MilanoMike AmadioChristian Fischer30122
3Anders BjorkJordan GreenwayBrett Leason20122
4Jordan GreenwayDerick BrassardGivani Smith10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dante Fabbro40122
2Gavin Bayreuther30122
3Travis DermottJamie Drysdale20122
4Dante Fabbro10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rudolfs BalcersDerick BrassardMichael McLeod60122
2Sonny MilanoMike AmadioChristian Fischer40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dante Fabbro60122
2Gavin Bayreuther40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Derick BrassardRudolfs Balcers60122
2Michael McLeodMike Amadio40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dante Fabbro60122
2Gavin Bayreuther40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Derick Brassard60122Dante Fabbro60122
2Rudolfs Balcers40122Gavin Bayreuther40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Derick BrassardRudolfs Balcers60122
2Michael McLeodMike Amadio40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dante Fabbro60122
2Gavin Bayreuther40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rudolfs BalcersDerick BrassardMichael McLeodDante Fabbro
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rudolfs BalcersDerick BrassardMichael McLeodDante Fabbro
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Max Jones, Anders Bjork, Brett LeasonMax Jones, Anders BjorkBrett Leason
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Travis Dermott, Jamie Drysdale, Gavin BayreutherTravis DermottJamie Drysdale, Gavin Bayreuther
Tirs de pénalité
Derick Brassard, Rudolfs Balcers, Michael McLeod, Mike Amadio, Sonny Milano
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
TotalDomicileVisiteur
# 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
1Brawlers1010000013-21010000013-20000000000000.000123003957511213293572792256617000%30100.00%029054053.70%24348450.21%43681453.56%799439776313647349
2Distraction40400000429-251010000016-530300000323-2000.000461000395751111032935727921876050691200.00%10550.00%029054053.70%24348450.21%43681453.56%799439776313647349
3Dynamos11000000853110000008530000000000021.000814220039575113632935727922776245240.00%3166.67%129054053.70%24348450.21%43681453.56%799439776313647349
4Extreme20200000613-71010000026-41010000047-300.00061218003957511433293572792461616336233.33%8625.00%029054053.70%24348450.21%43681453.56%799439776313647349
5Falcons20200000816-81010000025-310100000611-500.000814220039575116232935727926931133414214.29%4250.00%129054053.70%24348450.21%43681453.56%799439776313647349
6Intrepides2020000068-21010000034-11010000034-100.0006121800395751147329357279241126283266.67%3233.33%029054053.70%24348450.21%43681453.56%799439776313647349
7L'Euphorie523000002325-2312000001617-12110000078-140.400233659103957511139329357279210738188515426.67%9722.22%129054053.70%24348450.21%43681453.56%799439776313647349
8Les Restants20100100613-71000010067-11010000006-610.250681400395751149329357279270302335120.00%110.00%029054053.70%24348450.21%43681453.56%799439776313647349
9Monster311001002027-7201001001121-101100000096330.5002038580039575117732935727921213138519666.67%191142.11%229054053.70%24348450.21%43681453.56%799439776313647349
10Monsters1010000027-51010000027-50000000000000.000246003957511223293572792317614200.00%330.00%029054053.70%24348450.21%43681453.56%799439776313647349
11National303000001025-1510100000411-720200000614-800.0001018280039575118232935727921404930588450.00%10910.00%129054053.70%24348450.21%43681453.56%799439776313647349
12Patriotes10100000111-100000000000010100000111-1000.00012300395751113329357279239141415200.00%7614.29%029054053.70%24348450.21%43681453.56%799439776313647349
13Prospects11000000954000000000001100000095421.00091726003957511383293572792291361233100.00%3233.33%129054053.70%24348450.21%43681453.56%799439776313647349
14Senators1010000025-3000000000001010000025-300.000246003957511333293572792186815000%440.00%029054053.70%24348450.21%43681453.56%799439776313647349
15Sharks10100000410-610100000410-60000000000000.000471100395751116329357279244112018200.00%10640.00%029054053.70%24348450.21%43681453.56%799439776313647349
16Wildcats11000000734000000000001100000073421.000713200039575112532935727921962163266.67%10100.00%029054053.70%24348450.21%43681453.56%799439776313647349
17Youngblood6310110031247420011002214821100000910-190.7503155860039575111543293572792132323297251456.00%16662.50%129054053.70%24348450.21%43681453.56%799439776313647349
Total3792401300148229-81194110130082116-34185130000066113-47230.311148262410103957511967329357279211453692736191144236.84%1147137.72%829054053.70%24348450.21%43681453.56%799439776313647349
_Since Last GM Reset3792401300148229-81194110130082116-34185130000066113-47230.311148262410103957511967329357279211453692736191144236.84%1147137.72%829054053.70%24348450.21%43681453.56%799439776313647349
_Vs Conference2881701200120169-491438012006389-261459000005780-23200.3571202143341039575117313293572792866268218467863743.02%895439.33%629054053.70%24348450.21%43681453.56%799439776313647349
_Vs Division11413012004076-36525012002438-14628000001638-22120.545406710710395751128332935727923481189019127829.63%403220.00%229054053.70%24348450.21%43681453.56%799439776313647349

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3723L1148262410967114536927361910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
379241300148229
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
19411130082116
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
18513000066113
Derniers 10 matchs
WLOTWOTL SOWSOL
351100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1144236.84%1147137.72%8
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
32935727923957511
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
29054053.70%24348450.21%43681453.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
799439776313647349


Derniers matchs 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
16Shokers9Prospects5AWSommaire du match
213Shokers9Monster6AWSommaire du match
426Youngblood4Shokers3BLXSommaire du match
639Shokers1Distraction7ALSommaire du match
850L'Euphorie6Shokers8BWSommaire du match
1065Shokers4National7ALSommaire du match
1273L'Euphorie6Shokers5BLSommaire du match
1491Youngblood3Shokers7BWSommaire du match
16103Shokers0Les Restants6ALSommaire du match
18112Extreme6Shokers2BLSommaire du match
20122Shokers6Youngblood5AWSommaire du match
21133Shokers2L'Euphorie4ALSommaire du match
22143Monster12Shokers3BLSommaire du match
24161Monster9Shokers8BLXSommaire du match
26171Shokers4Extreme7ALSommaire du match
28182Intrepides4Shokers3BLSommaire du match
30198Monsters7Shokers2BLSommaire du match
31211Shokers3Intrepides4ALSommaire du match
33222Shokers3Youngblood5ALSommaire du match
34226Shokers7Wildcats3AWSommaire du match
36239Brawlers3Shokers1BLSommaire du match
38256National11Shokers4BLSommaire du match
40264Shokers2National7ALSommaire du match
42279Sharks10Shokers4BLSommaire du match
43293Shokers1Patriotes11ALSommaire du match
44298Shokers2Senators5ALSommaire du match
46310Shokers1Distraction7ALSommaire du match
48320Les Restants7Shokers6BLXSommaire du match
49336Youngblood2Shokers6BWSommaire du match
51353L'Euphorie5Shokers3BLSommaire du match
53367Dynamos5Shokers8BWSommaire du match
54376Shokers1Distraction9ALSommaire du match
56388Falcons5Shokers2BLSommaire du match
58400Shokers6Falcons11ALSommaire du match
60415Youngblood5Shokers6BWXSommaire du match
61424Shokers5L'Euphorie4AWSommaire du match
62436Distraction6Shokers1BLSommaire du match
64448Shokers-Monkeys -
66459Shokers-L'Euphorie-
68471L'Euphorie-Shokers-
70484Shokers-Wildcats-
71495Monsters-Shokers-
74511Brawlers-Shokers-
76528Monkeys -Shokers-
77531Shokers-Extreme-
79549Shokers-Prospects-
80560Patriotes-Shokers-
82572Shokers-Brawlers-
83583Les Restants-Shokers-
85591Shokers-Les Restants-
86609Intrepides-Shokers-
87614Shokers-Dynamos-
89627Shokers-National-
90638Extreme-Shokers-
91654Guerriers du Nord-Shokers-
93665Shokers-Guerriers du Nord-
94673Shokers-Youngblood-
96688National-Shokers-
98701Shokers-Warriors-
99711Dynamos-Shokers-
101723Shokers-Monsters-
102732Dynamos-Shokers-
103743Shokers-Intrepides-
105758Destroyers-Shokers-
107765Shokers-Sharks-
108776Shokers-Monster-
110787Senators-Shokers-
112803Shokers-Monster-
113812Warriors-Shokers-
114829Prospects-Shokers-
115836Shokers-Prospects-
116843Shokers-Vikings-
117859Vikings-Shokers-
118869Shokers-Bolt-
120882Bolt-Shokers-
121892Shokers-Destroyers-
122900Shokers-Sharks-
123909Monster-Shokers-
126933Distraction-Shokers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
129953Wildcats-Shokers-
132967Wildcats-Shokers-
133970Shokers-Bolt-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
22 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,203,291$ 2,014,250$ 2,014,250$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 946,592$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 72 18,994$ 1,367,568$




Shokers Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Robert Bortuzzo2107726233913623936327174810.29%295523724.9455941491070552160100.00%51.2900
2Michael Raffl10294141235406916510652717.84%65227822.343253856902257365.17%62.0613
3Michael McLeod8682147229294513012647717.19%45187021.7535629769112108274.97%72.4522
4Max Jones16698114212509724211464615.17%72280316.8925214634112710665.56%121.5101
5Chris Wagner142931162091014019712148219.29%82257418.1336397557022124764.87%51.6211

Shokers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Cam Talbot5451210.9122.983218011601809925900.5004
2Pheonix Copley2523010.9162.7614810068807445301.0005
3Ryan Miller3020440.9042.8816900381842447100.6673
4Malcolm Subban42100.9142.3917600781430000
5Logan Thompson21100.8793.5012000758271000

Shokers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
202082712042215712463254136101111297115182413510311027413114315757198815590112223121283854131713451181202714917663162031222973.40%2537669.96%10767154649.61%853178947.68%853172249.54%2005128916526461284673
20218250220161251534916641271001201269169100412312004112461806611251584813631513820616953138104210541039142624826857148831416552.55%2228661.26%9993148966.69%942142566.11%1140168167.82%1965113815116061465869
202282462801421568495734127140000028722958411914014212812661510356894915172012722721163337105611621115132767866756133531817956.29%23611949.58%61004149567.16%699114261.21%1318187170.44%1978123816386031323746
20233792401300148229-81194110130082116-34185130000066113-4723148262410103957511967329357279211453692736191144236.84%1147137.72%829054053.70%24348450.21%43681453.56%799439776313647349
Total Saison régulière2831767607155418021319483142943603612935629306141824004942867690177395180230474849464267216432011296374439183614499250297825495062105861558.13%82535257.33%333054507060.24%2737484056.55%3747608861.55%674841065578217047202638
Séries éliminatoires
202013760000046415734000002426-26420000022157144685131001218160291801031080453144120191381436.84%612067.21%17417841.57%11036630.05%8225032.80%21311033613923097
2021624000002940-11312000001822-4312000001118-74294978001112512619565100119152839814535.71%24962.50%15415235.53%298534.12%4412535.20%131841235710543
2022734000004457-13422000002530-5312000001927-8644771210042711230482114101728210452127211571.43%211528.57%08614260.56%5110648.11%9816957.99%1671071485010657
Total Séries éliminatoires26121400000119138-191468000006778-111266000005260-8241192113300027573238562572823098926300255416733446.58%1064458.49%221447245.34%19055734.11%22454441.18%511302607246443197

Shokers Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Thomas Hickey16713205720126211.29%1627617.2542680113010%01.4500
2Rudolfs Balcers75101524473613.89%912918.56044100010066.04%02.3100
3Morgan Geekie7781520892133.33%713018.62134200032064.85%12.3000
4Garnet Hathaway67714-32712114216.67%215125.24303801102144.44%01.8500
5Michael Raffl65813-191283315.15%313722.93022110110040.00%01.8900

Shokers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Cam Talbot137510.9093.1677920414532200000