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LHSRSM

Connexion

Wild
GP: 48 | W: 32 | L: 16 | OTL: 0 | P: 64
GF: 214 | GA: 138 | PP%: 18.52% | PK%: 84.88%
DG: Philippe Lanois | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #812 vs Roadrunners
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Centre de jeu
Phantoms
22-27-1, 45pts
1
FINAL
2 Wild
32-16-0, 64pts
Team Stats
W1StreakW2
14-10-0Home Record18-6-0
8-17-1Away Record14-10-0
7-2-1Last 10 Games6-4-0
3.98Goals Per Game4.46
4.28Goals Against Per Game2.88
26.04%Power Play Percentage18.52%
73.15%Penalty Kill Percentage84.88%
Americans
14-32-4, 32pts
4
FINAL
5 Wild
32-16-0, 64pts
Team Stats
L3StreakW2
5-17-3Home Record18-6-0
9-15-1Away Record14-10-0
2-8-0Last 10 Games6-4-0
4.62Goals Per Game4.46
5.34Goals Against Per Game2.88
25.29%Power Play Percentage18.52%
63.75%Penalty Kill Percentage84.88%
Wild
32-16-0, 64pts
2023-02-06
Roadrunners
28-15-7, 63pts
Statistiques d’équipe
W2SéquenceL4
18-6-0Fiche domicile9-9-2
14-10-0Fiche visiteur19-6-5
6-4-010 derniers matchs5-4-1
4.46Buts par match 3.88
2.88Buts contre par match 2.86
18.52%Pourcentage en avantage numérique21.24%
84.88%Pourcentage en désavantage numérique81.13%
Wild
32-16-0, 64pts
2023-02-08
Stars
8-40-3, 19pts
Statistiques d’équipe
W2SéquenceL1
18-6-0Fiche domicile6-15-3
14-10-0Fiche visiteur2-25-0
6-4-010 derniers matchs1-7-2
4.46Buts par match 3.27
2.88Buts contre par match 7.49
18.52%Pourcentage en avantage numérique14.12%
84.88%Pourcentage en désavantage numérique48.39%
Silver Knights
37-10-4, 78pts
2023-02-09
Wild
32-16-0, 64pts
Statistiques d’équipe
OTW1SéquenceW2
21-4-2Fiche domicile18-6-0
16-6-2Fiche visiteur14-10-0
8-1-110 derniers matchs6-4-0
5.14Buts par match 4.46
2.71Buts contre par match 2.88
26.85%Pourcentage en avantage numérique18.52%
81.25%Pourcentage en désavantage numérique84.88%
Meneurs d'équipe
Hunter JonesVictoires
Hunter Jones
24
Andrew HammondPourcentage d’arrêts
Andrew Hammond
0.94

Statistiques d’équipe
Buts pour
214
4.46 GFG
Tirs pour
1974
41.13 Avg
Pourcentage en avantage numérique
18.5%
15 GF
Début de zone offensive
42.5%
Buts contre
138
2.88 GAA
Tirs contre
1386
28.88 Avg
Pourcentage en désavantage numérique
84.9%
13 GA
Début de la zone défensive
36.5%
Informations de l'équipe

Directeur généralPhilippe Lanois
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure20
Limite contact 39 / 250
Espoirs71


Historique d'équipe

Saison actuelle32-16-0 (64PTS)
Historique404-330-60 (0.509%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)23-23
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
1Josh LeivoXX100.00683988667981836663646761666972050650281750,000$
2Mikhail MaltsevX100.00723992668384896574636462686566050650231925,000$
3Rafael Harvey-PinardX100.00763583646682866457626661656469050640222825,000$
4Cameron HughesX100.00743791626989786379645766626771050630251750,000$
5Paul CotterX100.00763973607984876065586257616465050620211806,667$
6Semyon Der-Arguchintsev (R)X100.00563689646877796470625957646265050620212766,667$
7Brandon GignacX100.00573692616682765963605857616567050610231921,666$
8Connor Zary (R)X100.007139756270798160645861576261630506102041,035,833$
9Jansen HarkinsX100.00583884607472865869575956616567050600241725,000$
10Zack MacEwenX100.00868265548474875770555655596667050600251825,000$
11Hugh McGingX100.00623785586277895758595752576466050590231925,000$
12Urho VaakanainenX100.007340876580877663307058755163670506502211,302,500$
13Daniil Miromanov (R)XX100.00733982688779856730665863526567050650243925,000$
14Jack RathboneX100.006136846870847367306662635563650506402211,491,667$
15Lucas Johansen (R)X100.00613789627677836430655863506567050630233750,000$
16Dmitri SamorukovX100.00683882628173776030595856496365050610221863,333$
17Donovan SebrangoX100.00663887557463845430535251456062050570193925,000$
Rayé
MOYENNE D’ÉQUIPE100.0068408462757982625461606058646705062
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
1Hunter Jones100.0067697085666567666567666267050600212925,000$
Rayé
1Pheonix Copley100.00757475867473757473757470840506402911,100,000$
MOYENNE D’ÉQUIPE100.007172738670697170697170667605062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Jack RathboneWild (MIN)D4810465633160666896357510.42%49100220.892572264011168200.00%000001.1200000231
2Rafael Harvey-PinardWild (MIN)LW482427513414081671845114013.04%881717.040229630000405150.00%8000011.2500000354
3Cameron HughesWild (MIN)C48143650156068115145451239.66%786718.0807714720000371063.34%101200011.1500000130
4Josh LeivoWild (MIN)LW/RW482523481614056702206615111.36%892519.2941520710118936060.53%7600111.0400000321
5Mikhail MaltsevWild (MIN)LW48212748172557496215691569.77%3117624.5113413681012861165.12%25800000.8211010431
6Lucas JohansenWild (MIN)D4810374732140834177284912.99%5399320.703361864000162120.00%000000.9500000213
7Urho VaakanainenWild (MIN)D4810364621235858011634638.62%73115524.071343470000270210.00%000000.8000001053
8Brandon GignacWild (MIN)LW48202343236013621705612611.76%784517.61000110003373053.42%7300011.0200000313
9Semyon Der-ArguchintsevWild (MIN)C4820214133206107134336714.93%477216.092241263000001060.29%95700011.0600000212
10Paul CotterWild (MIN)C4820193922220143931814812511.05%881116.9100003000012359.02%85900000.9600000312
11Daniil MiromanovWild (MIN)RW/D48830382016075639236568.70%51115524.082241970000070100.00%000000.6601000113
12Dmitri SamorukovWild (MIN)D48225272016074335112303.92%5672515.110000200018000.00%000000.7400000002
13Connor ZaryWild (MIN)C4813132634160105711132410711.50%7107022.310001061000002257.47%48200000.4900000211
14Jansen HarkinsWild (MIN)C4812132523402528118368810.17%580016.6800000000004055.56%5400000.6200000021
15Donovan SebrangoWild (MIN)D48311142040571630132310.00%2773515.3300011000027000.00%000000.3800000100
16Hugh McGingWild (MIN)LW480551001812287250.00%23166.5900000000000070.59%1700000.3200000000
17Zack MacEwenWild (MIN)C48101-1206243325.00%1791.66000040000100054.55%1100000.2500000000
Statistiques d’équipe totales ou en moyenne81621339260536320010103510241974596140710.79%3691425317.4715284317368212318616311060.40%387900150.8512011272927
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
1Hunter JonesWild (MIN)40241600.8962.9423482211511110021.00034048201
2Andrew HammondWild88000.9401.8848002152480000.00%080200
Statistiques d’équipe totales ou en moyenne48321600.9042.7628282413013590021.00034848401


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 Type Salaire actuel Plafond salarial 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 10Link
Brandon GignacWild (MIN)LW231997-11-07No170 Lbs5 ft11NoNoNo1Pro & Farm921,666$0$0$NoLien / Lien NHL
Cameron HughesWild (MIN)C251996-10-09No160 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Connor ZaryWild (MIN)C202001-09-25Yes178 Lbs6 ft0NoNoNo4Pro & Farm1,035,833$0$0$No1,005,000$1,005,000$1,005,000$Lien NHL
Daniil MiromanovWild (MIN)RW/D241997-07-11Yes202 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No762,500$762,500$Lien / Lien NHL
Dmitri SamorukovWild (MIN)D221999-06-16No188 Lbs6 ft3NoNoNo1Pro & Farm863,333$0$0$NoLien / Lien NHL
Donovan SebrangoWild (MIN)D192002-01-12No189 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien / Lien NHL
Hugh McGingWild (MIN)LW231998-07-11No167 Lbs5 ft8NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Hunter JonesWild (MIN)G212000-09-21No194 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Jack RathboneWild (MIN)D221999-05-20No177 Lbs5 ft10NoNoNo1Pro & Farm1,491,667$0$0$NoLien / Lien NHL
Jansen HarkinsWild (MIN)C241997-05-23No182 Lbs6 ft1NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Josh LeivoWild (MIN)LW/RW281993-05-26No192 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Lucas JohansenWild (MIN)D231997-11-16Yes176 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No762,500$762,500$Lien / Lien NHL
Mikhail MaltsevWild (MIN)LW231998-03-12No198 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Paul CotterWild (MIN)C211999-11-16No206 Lbs6 ft1NoNoNo1Pro & Farm806,667$0$0$NoLien / Lien NHL
Pheonix CopleyWild (MIN)G291992-01-18No200 Lbs6 ft4NoNoNo1Pro & Farm1,100,000$0$0$NoLien / Lien NHL
Rafael Harvey-PinardWild (MIN)LW221999-01-06No182 Lbs5 ft9NoNoNo2Pro & Farm825,000$0$0$No825,000$Lien / Lien NHL
Semyon Der-ArguchintsevWild (MIN)C212000-09-15Yes160 Lbs5 ft11NoNoNo2Pro & Farm766,667$0$0$No766,667$Lien NHL
Urho VaakanainenWild (MIN)D221999-01-01No200 Lbs6 ft2NoNoNo1Pro & Farm1,302,500$0$0$NoLien / Lien NHL
Zack MacEwenWild (MIN)C251996-07-08No205 Lbs6 ft3NoNoNo1Pro & Farm825,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1923.00186 Lbs6 ft11.63923,070$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikhail MaltsevCameron HughesJosh Leivo30122
2Rafael Harvey-PinardSemyon Der-ArguchintsevConnor Zary30122
3Brandon GignacPaul CotterJansen Harkins20122
4Hugh McGingConnor ZaryMikhail Maltsev20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MiromanovUrho Vaakanainen30122
2Jack RathboneLucas Johansen30122
3Dmitri SamorukovDonovan Sebrango20122
4Daniil MiromanovUrho Vaakanainen20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikhail MaltsevCameron HughesJosh Leivo60122
2Rafael Harvey-PinardSemyon Der-ArguchintsevConnor Zary40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MiromanovUrho Vaakanainen60122
2Jack RathboneLucas Johansen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mikhail MaltsevJosh Leivo60122
2Rafael Harvey-PinardCameron Hughes40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MiromanovUrho Vaakanainen60122
2Jack RathboneLucas Johansen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mikhail Maltsev60122Daniil MiromanovUrho Vaakanainen60122
2Josh Leivo40122Jack RathboneLucas Johansen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mikhail MaltsevJosh Leivo60122
2Rafael Harvey-PinardCameron Hughes40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MiromanovUrho Vaakanainen60122
2Jack RathboneLucas Johansen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikhail MaltsevCameron HughesJosh LeivoDaniil MiromanovUrho Vaakanainen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikhail MaltsevCameron HughesJosh LeivoDaniil MiromanovUrho Vaakanainen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zack MacEwen, Paul Cotter, Brandon GignacZack MacEwen, Paul CotterBrandon Gignac
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmitri Samorukov, Donovan Sebrango, Jack RathboneDmitri SamorukovDonovan Sebrango, Jack Rathbone
Tirs de pénalité
Mikhail Maltsev, Daniil Miromanov, Josh Leivo, Rafael Harvey-Pinard, Cameron Hughes
Gardien
#1 : , #2 : Hunter Jones


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
1Admirals11000000532000000000001100000053221.000591400877848136599667703731116222150.00%3166.67%0991164860.13%835141559.01%51781663.36%1339992951300594322
2Americans21100000910-1110000005411010000046-220.500917261087784816859966770379022645100.00%30100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
3Barracuda20200000510-51010000026-41010000034-100.000591400877848178599667703747104335120.00%2150.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
4Bears11000000752000000000001100000075221.0007132000877848142599667703728743011100.00%2150.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
5Bruins11000000431000000000001100000043121.0004711008778481255996677037372619300.00%30100.00%1991164860.13%835141559.01%51781663.36%1339992951300594322
6Canucks2200000015312110000006151100000092741.000152540008778481121599667703765111650200.00%60100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
7Checkers11000000514000000000001100000051421.0005813008778481355996677037167621200.00%3166.67%0991164860.13%835141559.01%51781663.36%1339992951300594322
8Condors330000002732422000000192171100000081761.00027517801877848119659966770376518674200.00%30100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
9Crunch20100010660100000103211010000034-120.50069150087784816259966770374810439500.00%20100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
10Eagles1100000010461100000010460000000000021.000101929008778481685996677037355426000.00%20100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
11Firebirds22000000185131100000010191100000084441.00018335100877848112259966770374815447000.00%20100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
12Griffins211000006601010000024-21100000042220.500610160087784817759966770374521242400.00%110.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
13Gulls3120000047-3110000002022020000027-520.333481211877848197599667703788241063500.00%50100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
14IceHogs21100000711-4110000005321010000028-620.5007132000877848165599667703785251541000.00%5340.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
15Islanders11000000523000000000001100000052321.0005914008778481425996677037306222500.00%10100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
16Marlies11000000422110000004220000000000021.000481200877848146599667703732102225360.00%10100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
17Moose2110000068-2110000005321010000015-420.50061218008778481865996677037702112365120.00%60100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
18Penguins1010000023-11010000023-10000000000000.0002460087784813259966770372611612300.00%30100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
19Phantoms11000000211110000002110000000000021.0002460087784811659966770372714617000.00%30100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
20Reign21100000541110000004221010000012-120.5005101500877848154599667703750106426116.67%30100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
21Roadrunners2110000036-32110000036-30000000000020.50035800877848154599667703760182544300.00%4175.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
22Rocket22000000954110000005231100000043141.0009172600877848111159966770375091034100.00%4175.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
23Senators211000002201010000002-21100000020220.500246018778481625996677037661943911100.00%20100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
24Stars220000001531211000000111101100000042241.0001527420087784811015996677037431212363266.67%6183.33%0991164860.13%835141559.01%51781663.36%1339992951300594322
25Thunderbirds2020000068-21010000045-11010000023-100.0006121800877848169599667703762114459222.22%20100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
26Wolf Pack2110000025-3110000001011010000015-420.50024601877848154599667703760148565120.00%3233.33%0991164860.13%835141559.01%51781663.36%1339992951300594322
27Wolves220000001688110000007431100000094541.0001629450087784819459966770375018124911100.00%60100.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
28Wranglers11000000945000000000001100000094521.00091625008778481615996677037328029200.00%000.00%0991164860.13%835141559.01%51781663.36%1339992951300594322
Total483116000102141387624176000101125854241410000001028022640.6672143926062487784811974599667703713863692021035811518.52%861384.88%1991164860.13%835141559.01%51781663.36%1339992951300594322
_Since Last GM Reset483116000102141387624176000101125854241410000001028022640.6672143926062487784811974599667703713863692021035811518.52%861384.88%1991164860.13%835141559.01%51781663.36%1339992951300594322
_Vs Conference292090000015185661512300000863749148600000654817400.6901512764271287784811310599667703781422713463440717.50%54885.19%0991164860.13%835141559.01%51781663.36%1339992951300594322
_Vs Division1583000008336477410000043123184200000402416160.53383152235128778481729599667703739596463382229.09%21195.24%0991164860.13%835141559.01%51781663.36%1339992951300594322

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4864W221439260619741386369202103524
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4831160010214138
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
24176001011258
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
241410000010280
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
811518.52%861384.88%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
59966770378778481
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
991164860.13%835141559.01%51781663.36%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1339992951300594322


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
7 - 2022-10-1317Wolf Pack0Wild1BWSommaire du match
9 - 2022-10-1534Reign2Wild4BWSommaire du match
11 - 2022-10-1745Eagles4Wild10BWSommaire du match
14 - 2022-10-2067Canucks1Wild6BWSommaire du match
16 - 2022-10-2274Wild4Bruins3AWSommaire du match
19 - 2022-10-25101Wild4Rocket3AWSommaire du match
21 - 2022-10-27113Wild2Senators0AWSommaire du match
23 - 2022-10-29134Wild4Griffins2AWSommaire du match
24 - 2022-10-30140Wild2IceHogs8ALSommaire du match
26 - 2022-11-01151Rocket2Wild5BWSommaire du match
28 - 2022-11-03167Firebirds1Wild10BWSommaire du match
33 - 2022-11-08206Wild1Reign2ALSommaire du match
34 - 2022-11-09210Wild1Gulls3ALSommaire du match
36 - 2022-11-11224Wild8Firebirds4AWSommaire du match
38 - 2022-11-13239Barracuda6Wild2BLSommaire du match
40 - 2022-11-15254Wild5Admirals3AWSommaire du match
42 - 2022-11-17268Penguins3Wild2BLSommaire du match
44 - 2022-11-19283Wolves4Wild7BWSommaire du match
48 - 2022-11-23303Moose3Wild5BWSommaire du match
50 - 2022-11-25321Marlies2Wild4BWSommaire du match
52 - 2022-11-27341Roadrunners1Wild2BWSommaire du match
56 - 2022-12-01370Condors2Wild9BWSommaire du match
58 - 2022-12-03379Gulls0Wild2BWSommaire du match
59 - 2022-12-04393Wild4Stars2AWSommaire du match
62 - 2022-12-07414Wild9Wranglers4AWSommaire du match
64 - 2022-12-09429Wild8Condors1AWSommaire du match
65 - 2022-12-10441Wild9Canucks2AWSommaire du match
67 - 2022-12-12452Condors0Wild10BWSommaire du match
69 - 2022-12-14467Griffins4Wild2BLSommaire du match
71 - 2022-12-16481IceHogs3Wild5BWSommaire du match
73 - 2022-12-18497Senators2Wild0BLSommaire du match
76 - 2022-12-21524Wild1Gulls4ALSommaire du match
77 - 2022-12-22532Wild3Barracuda4ALSommaire du match
82 - 2022-12-27552Wild1Moose5ALSommaire du match
84 - 2022-12-29569Stars1Wild11BWSommaire du match
86 - 2022-12-31589Wild2Thunderbirds3ALSommaire du match
90 - 2023-01-04610Crunch2Wild3BWXXSommaire du match
93 - 2023-01-07631Wild4Americans6ALSommaire du match
94 - 2023-01-08642Thunderbirds5Wild4BLSommaire du match
96 - 2023-01-10649Wild1Wolf Pack5ALSommaire du match
98 - 2023-01-12669Wild5Islanders2AWSommaire du match
100 - 2023-01-14685Roadrunners5Wild1BLSommaire du match
103 - 2023-01-17707Wild7Bears5AWSommaire du match
105 - 2023-01-19721Wild9Wolves4AWSommaire du match
107 - 2023-01-21734Wild5Checkers1AWSommaire du match
110 - 2023-01-24758Wild3Crunch4ALSommaire du match
112 - 2023-01-26779Phantoms1Wild2BWSommaire du match
114 - 2023-01-28795Americans4Wild5BWSommaire du match
123 - 2023-02-06812Wild-Roadrunners-
125 - 2023-02-08820Wild-Stars-
126 - 2023-02-09827Silver Knights-Wild-
128 - 2023-02-11843Comets-Wild-
130 - 2023-02-13852Checkers-Wild-
132 - 2023-02-15867Eagles-Wild-
134 - 2023-02-17880Stars-Wild-
136 - 2023-02-19896Admirals-Wild-
138 - 2023-02-21913Reign-Wild-
140 - 2023-02-23924Wild-Monsters-
141 - 2023-02-24931Wild-Marlies-
143 - 2023-02-26948Monsters-Wild-
145 - 2023-02-28962Islanders-Wild-
147 - 2023-03-02981Wild-Canucks-
149 - 2023-03-04999Wild-Wranglers-
152 - 2023-03-071018Wranglers-Wild-
153 - 2023-03-081022Wild-Moose-
156 - 2023-03-111051Wild-Barracuda-
157 - 2023-03-121059Wild-Roadrunners-
160 - 2023-03-151078Wild-Thunderbirds-
163 - 2023-03-181096Bruins-Wild-
164 - 2023-03-191109Bears-Wild-
166 - 2023-03-211123Wild-Comets-
168 - 2023-03-231136Wild-Phantoms-
170 - 2023-03-251155IceHogs-Wild-
172 - 2023-03-271173Firebirds-Wild-
174 - 2023-03-291188Wild-Eagles-
177 - 2023-04-011214Wild-Silver Knights-
179 - 2023-04-031226Silver Knights-Wild-
182 - 2023-04-061244Wild-Penguins-
184 - 2023-04-081258Thunderbirds-Wild-
186 - 2023-04-101281Wild-IceHogs-
187 - 2023-04-111291Moose-Wild-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
189 - 2023-04-131305Wild-Admirals-



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
-15 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,046,694$ 1,753,834$ 130,250$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,046,694$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 74 9,280$ 686,720$




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
282244402336228294-6641151802024122129-74192600312106165-596722839462203088756023780816773763260373897614753396619.47%3728876.34%51348263851.10%1156255645.23%616135345.53%1956133819616181058524
382254304073204241-3741161901032107109-2419240304197132-357520434454812071715125260816821843265077577715813404713.82%3125283.33%21382271350.94%1349280348.13%608125748.37%1980135319416051058528
4823829010682582015741221201042150925841161700026108109-1982584617190709284752873092093498825447581405186456810919.19%5728884.62%21799313657.37%1645310852.93%687123955.45%2008134719306551051529
582333205246244237741151305026109106341181900220135131492244425669320103716129570958966999281279355618892053215.61%2564980.86%11691283959.56%1528283153.97%712128055.63%2009144119665621004502
6824330021243242161084123150101118099814120150111314411727993245839070901221059334490117511101150268577458021342074220.29%2333684.55%41738313755.40%1433287149.91%690128853.57%2164156117665531025533
782373104343346252944116170213215811444412114022111881385096346601947140146969638420121212731304292879942520042114219.91%1814674.59%11960333358.81%1589288655.06%800138057.97%2145157618215431009519
8825118042343932021914128702121214971174123110211317910574122393722111501001691318638910127412851296258577841318731804323.89%1863879.57%21922318060.44%1551270857.27%800134359.57%235217721650504965516
98248260122336125810341261000212190128624122160101117113041107361653101427013411710734730111511341209279481445419791915830.37%2054578.05%31718318953.87%1486293050.72%710136651.98%2111153018215591019524
1082176100220261515-2544183000210142258-1164193100010119257-1384026144670702102956222819919929962144190118426617551483020.27%1224067.21%01189267944.38%1138288539.45%639154541.36%162111242340559974447
11483116000102141387624176000101125854241410000001028022642143926062487784811974599667703713863692021035811518.52%861384.88%1991164860.13%835141559.01%51781663.36%1339992951300594322
Total Saison régulière786347330023153437283325542793931861470146202014841190294393161183099141713491364-158602833502178549501891098860632301821518988299618573271777782605417589247048419.60%252549580.40%21157382849255.24%137102699350.79%67791286752.69%196901403918152546297614948
Séries éliminatoires
4159600000423847610000022139835000002025-51842761180001715947001691581414881402763351191915.97%1131685.84%128556450.53%27257747.14%11623549.36%34822636012219194
562400000917-83120000058-33120000049-54914230104311550615330252753817319315.79%180100.00%06119830.81%8726532.83%358242.68%12782189507937
81899000004950-19540000027252945000002225-31849881370201916135160163186166645180143420511223.53%621182.26%030161349.10%30769144.43%11827842.45%412277434132233113
9734000002023-3321000001091413000001014-462035550008662310815989253694315423417.39%22672.73%010926041.92%10125539.61%4811541.74%156107179498641
Total Séries éliminatoires46232300000120128-822148000006455924915000005673-174612021333303048402913720474456426163846450010822123817.92%2153384.65%1756163546.24%767178842.90%31771044.65%10446941165353590285