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Connexion

Wildcats
GP: 36 | W: 11 | L: 23 | OTL: 2 | P: 24
GF: 163 | GA: 242 | PP%: 45.97% | PK%: 46.10%
DG: Marc-Andre Marinier | Morale : 44 | Moyenne d’équipe : 69
Prochains matchs #431 vs Youngblood

Centre de jeu
Intrepides
16-20-0, 32pts
10
FINAL
6 Wildcats
11-23-2, 24pts
Team Stats
W2SéquenceL8
9-9-0Fiche domicile5-12-0
7-11-0Fiche domicile6-11-2
5-5-0Derniers 10 matchs0-9-1
5.67Buts par match 4.53
6.75Buts contre par match 6.72
50.00%Pourcentage en avantage numérique45.97%
39.09%Pourcentage en désavantage numérique46.10%
Wildcats
11-23-2, 24pts
5
FINAL
9 Intrepides
16-20-0, 32pts
Team Stats
L8SéquenceW2
5-12-0Fiche domicile9-9-0
6-11-2Fiche domicile7-11-0
0-9-1Derniers 10 matchs5-5-0
4.53Buts par match 5.67
6.72Buts contre par match 6.75
45.97%Pourcentage en avantage numérique50.00%
46.10%Pourcentage en désavantage numérique39.09%
Youngblood
16-18-1, 33pts
Jour 70
Wildcats
11-23-2, 24pts
Statistiques d’équipe
W1SéquenceL8
8-9-1Fiche domicile5-12-0
8-9-0Fiche visiteur6-11-2
5-5-010 derniers matchs0-9-1
6.03Buts par match 4.53
5.97Buts contre par match 4.53
49.59%Pourcentage en avantage numérique45.97%
49.60%Pourcentage en désavantage numérique46.10%
Wildcats
11-23-2, 24pts
Jour 72
L'Euphorie
35-1-0, 70pts
Statistiques d’équipe
L8SéquenceW18
5-12-0Fiche domicile16-1-0
6-11-2Fiche visiteur19-0-0
0-9-110 derniers matchs10-0-0
4.53Buts par match 7.19
6.72Buts contre par match 7.19
45.97%Pourcentage en avantage numérique69.12%
46.10%Pourcentage en désavantage numérique73.91%
Monkeys
14-18-4, 32pts
Jour 74
Wildcats
11-23-2, 24pts
Statistiques d’équipe
L1SéquenceL8
7-10-1Fiche domicile5-12-0
7-8-3Fiche visiteur6-11-2
3-5-210 derniers matchs0-9-1
5.56Buts par match 4.53
6.03Buts contre par match 4.53
56.15%Pourcentage en avantage numérique45.97%
52.48%Pourcentage en désavantage numérique46.10%
Meneurs d'équipe
Buts
Jesper Fast
2
Passes
Jesper Fast
1
Points
Jesper Fast
3
Plus/Moins
Jesper Fast
3

Statistiques d’équipe
Buts pour
163
4.53 GFG
Tirs pour
890
24.72 Avg
Pourcentage en avantage numérique
46.0%
57 GF
Début de zone offensive
27.2%
Buts contre
242
6.72 GAA
Tirs contre
1206
33.50 Avg
Pourcentage en désavantage numérique
46.1%%
76 GA
Début de la zone défensive
29.0%
Informations de l'équipe

Directeur généralMarc-Andre Marinier
EntraîneurDerek Lalonde
DivisionDionne
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro11
Équipe Mineure20
Limite contact 31 / 55
Espoirs12


Historique d'équipe

Saison actuelle11-23-2 (24PTS)
Historique123-217-22 (0.340%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)2 - 8 (0.200%)
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
1Hudson FaschingX100.0077619588817854735069767653697105870N02921,250,000$
2Nicolas Aube-KubelX100.0093599289847466685068677650747305869N0291955,000$
3Jesper FastX100.0079599587827480685469667650858105869N03321,150,000$
4Paul Cotter (R)X100.00956488939174836962716771507072058690253850,000$
5Samuel BlaisX100.0097688782916957645066616950737505866N0291885,000$
6Jesse Ylonen (R)X100.00735995897970646450636576706970058660251925,000$
7Jordan Spence (R)X100.00775496887676797050776366506871058700241950,000$
8Jacob Bernard-Docker (R)X100.00766092857978816750676677506970060700242805,000$
9Michael Kesselring (R)X100.00887773818773886950687075517072059700251925,000$
10Ethan BearX100.007357918479764065506664655073750586602812,200,000$
Rayé
MOYENNE D’ÉQUIPE100.0083629087837469685268677352727305869
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
1Ivan Prosvetov (R)100.0074646489747571677369726567067690261775,000$
Rayé
MOYENNE D’ÉQUIPE100.007464648974757167736972656706769
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Derek Lalonde73788893717099USA522550,000$


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
1Eetu LuostarinenStallionsC2033400574190%14623.2400007000030068.42%5712001.2901000010
2Jesper FastWildcats (STL)RW22133001382225.00%03618.181011500000010%122001.6500000001
3Morgan GeekieStallionsC/RW11120002362116.67%02424.2011213000010173.68%1901001.6500000000
4Paul CotterWildcats (STL)C2112-30033101710.00%13819.4801103000020058.82%1731001.0301000000
5Michael KesselringWildcats (STL)D21123607120150.00%15025.020000800001100%003000.8000000000
6Hudson FaschingWildcats (STL)RW2011000027520%14221.1800018000000080.00%521000.4701000000
7Ethan BearWildcats (STL)D2011-300022030%54522.750000500003000%003000.4400000000
8Nicolas Aube-KubelWildcats (STL)RW2000-100223230%13216.460000000000000%11200000000000
9Samuel BlaisWildcats (STL)LW2000-200212060%13115.97000000000100100.00%20000000000000
10Jesse YlonenWildcats (STL)RW2000-100011110%23517.650000300000000%00100000000000
11Jordan SpenceWildcats (STL)D2000300323000%15527.910000800003000%02300000000000
Statistiques d’équipe totales ou en moyenne215914360252748143510.42%1443920.952243540000181267.65%1021119000.6403000011
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
1Magnus HellbergStallions21010.8952.881250065729000.750420000
Statistiques d’équipe totales ou en moyenne21010.8952.88125006572900420000


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Ethan BearWildcats (STL)D281997-06-26CANNo197 Lbs5 ft11NoNoFree AgentNoNo12025-04-13FalseFalsePro & Farm2,200,000$1,167,347$0$0$No---------------------------Lien
Hudson FaschingWildcats (STL)RW291995-07-28USANo209 Lbs6 ft3YesNoFree Agent2024-06-24NoNo22025-05-02FalseFalsePro & Farm1,250,000$663,265$0$0$No1,250,000$--------1,250,000$--------Yes--------
Ivan ProsvetovWildcats (STL)G261999-03-05RUSYes195 Lbs6 ft5NoNoFree AgentNoNo12025-04-11FalseFalsePro & Farm775,000$411,224$0$0$No---------------------------
Jacob Bernard-DockerWildcats (STL)D242000-06-30CANYes198 Lbs6 ft1NoNoTrade2025-05-15NoNo22025-01-16FalseFalsePro & Farm805,000$427,143$0$0$No805,000$--------805,000$--------No--------
Jesper FastWildcats (STL)RW331991-12-02SWENo188 Lbs6 ft0YesNoFree AgentNoNo22025-05-02FalseFalsePro & Farm1,150,000$610,204$0$0$No1,150,000$--------1,150,000$--------Yes--------Lien
Jesse YlonenWildcats (STL)RW251999-10-03USAYes200 Lbs6 ft1NoNoFree AgentNoNo12025-04-11FalseFalsePro & Farm925,000$490,816$0$0$No---------------------------
Jordan SpenceWildcats (STL)D242001-02-24AUSYes180 Lbs5 ft11NoNoDraftNoNo12024-05-21FalseFalsePro & Farm950,000$504,082$0$0$No---------------------------
Michael KesselringWildcats (STL)D252000-01-13USAYes215 Lbs6 ft5NoNoTrade2025-03-21NoNo12025-01-16FalseFalsePro & Farm925,000$490,816$0$0$No---------------------------
Nicolas Aube-KubelWildcats (STL)RW291996-05-10CANNo187 Lbs5 ft11YesNoFree AgentNoNo12025-05-03FalseFalsePro & Farm955,000$506,735$0$0$No---------------------------Lien
Paul CotterWildcats (STL)C251999-11-16USAYes213 Lbs6 ft2NoNoFree Agent2024-10-20NoNo32025-04-11FalseFalsePro & Farm850,000$451,020$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------
Samuel BlaisWildcats (STL)LW291996-06-17QUÉNo205 Lbs6 ft2YesNoFree AgentNoNo12025-05-03FalseFalsePro & Farm885,000$469,592$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1127.00199 Lbs6 ft11.451,060,909$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
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
1Bolt22000000201191100000012661100000085341.00020395900326168254229307348105721103810880.00%5420.00%020952339.96%22055839.43%34184540.36%702386829352634293
2Destroyers1010000016-51010000016-50000000000000.00012300326168218229307348104021121411100.00%6516.67%020952339.96%22055839.43%34184540.36%702386829352634293
3Distraction1010000047-31010000047-30000000000000.00046100032616823022930734810301412104250.00%6433.33%020952339.96%22055839.43%34184540.36%702386829352634293
4Dynamos20200000713-61010000057-21010000026-400.000713200032616824622930734810742183010440.00%440.00%020952339.96%22055839.43%34184540.36%702386829352634293
5Extreme11000000954000000000001100000095421.00091726003261682212293073481027881644100.00%4325.00%120952339.96%22055839.43%34184540.36%702386829352634293
6Falcons302010001119-81010000047-320101000712-520.3331119300032616827422930734810873730437457.14%15473.33%120952339.96%22055839.43%34184540.36%702386829352634293
7Guerriers du Nord11000000743000000000001100000074321.00071219003261682172293073481029118135480.00%40100.00%020952339.96%22055839.43%34184540.36%702386829352634293
8Intrepides202000001119-810100000610-41010000059-400.0001122330032616826122930734810702516246233.33%8537.50%020952339.96%22055839.43%34184540.36%702386829352634293
9L'Euphorie40400000937-2820200000520-1520200000417-1300.00091524003261682100229307348101785740707228.57%201525.00%020952339.96%22055839.43%34184540.36%702386829352634293
10Les Restants1010000035-21010000035-20000000000000.00036900326168232229307348103162134125.00%110.00%020952339.96%22055839.43%34184540.36%702386829352634293
11Monster32000100181352200000012661000010067-150.83318335100326168276229307348107921165113753.85%8362.50%020952339.96%22055839.43%34184540.36%702386829352634293
12Monsters10001000761100010007610000000000021.0007132000326168224229307348104212812400.00%4325.00%020952339.96%22055839.43%34184540.36%702386829352634293
13National30200001819-1120200000616-101000000123-110.16781523003261682702293073481012730184410440.00%9455.56%020952339.96%22055839.43%34184540.36%702386829352634293
14Prospects30300000821-131010000049-520200000412-800.000815230032616825722930734810804037487228.57%16756.25%020952339.96%22055839.43%34184540.36%702386829352634293
15Senators1010000047-3000000000001010000047-300.0004812003261682222293073481022741444100.00%2150.00%020952339.96%22055839.43%34184540.36%702386829352634293
16Sharks321000001720-310100000411-722000000139440.66717324900326168279229307348108723265510440.00%13653.85%120952339.96%22055839.43%34184540.36%702386829352634293
17Shokers1010000049-5000000000001010000049-500.00048120032616822522930734810389179300.00%6433.33%020952339.96%22055839.43%34184540.36%702386829352634293
18Warriors11000000743110000007430000000000021.0007815003261682342293073481027124175240.00%20100.00%020952339.96%22055839.43%34184540.36%702386829352634293
19Youngblood20200000817-90000000000020200000817-900.0008152300326168250229307348108114163310220.00%8362.50%020952339.96%22055839.43%34184540.36%702386829352634293
Total3692302101163242-79174120100080120-40195110110183122-39240.3331632984610032616828902293073481012063892925541245745.97%1417646.10%320952339.96%22055839.43%34184540.36%702386829352634293
_Since Last GM Reset3692302101163242-79174120100080120-40195110110183122-39240.3331632984610032616828902293073481012063892925541245745.97%1417646.10%320952339.96%22055839.43%34184540.36%702386829352634293
_Vs Conference2571600101116178-621138000005385-321448001016393-30160.32011621733300326168262322930734810854262216398843744.05%1035843.69%220952339.96%22055839.43%34184540.36%702386829352634293
_Vs Division848000003359-2621400000816-8634000002543-1880.500336194003261682183229307348102568590116281035.71%402147.50%120952339.96%22055839.43%34184540.36%702386829352634293

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3624L8163298461890120638929255400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
369232101163242
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
17412100080120
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
19511110183122
Derniers 10 matchs
WLOTWOTL SOWSOL
090100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1245745.97%1417646.10%3
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
229307348103261682
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
20952339.96%22055839.43%34184540.36%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
702386829352634293


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
16Wildcats3Prospects8LSommaire du match
214Monster3Wildcats4WSommaire du match
433Sharks11Wildcats4LSommaire du match
643Wildcats3L'Euphorie9LSommaire du match
959Monster3Wildcats8WSommaire du match
1069Wildcats8Bolt5WSommaire du match
1278Distraction7Wildcats4LSommaire du match
1596Warriors4Wildcats7WSommaire du match
16107Wildcats2Dynamos6LSommaire du match
18120Monsters6Wildcats7WXSommaire du match
21132Wildcats2National3LXXSommaire du match
22143Wildcats2Falcons8LSommaire du match
24155National7Wildcats2LSommaire du match
26164Wildcats6Sharks5WSommaire du match
28173Wildcats2Youngblood10LSommaire du match
30189Bolt6Wildcats12WSommaire du match
32202Dynamos7Wildcats5LSommaire du match
34213Wildcats9Extreme5WSommaire du match
36224Wildcats7Guerriers du Nord4WSommaire du match
38235National9Wildcats4LSommaire du match
40249Wildcats1Prospects4LSommaire du match
42254L'Euphorie10Wildcats1LSommaire du match
44269Wildcats7Sharks4WSommaire du match
46281L'Euphorie10Wildcats4LSommaire du match
48297Destroyers6Wildcats1LSommaire du match
51311Wildcats5Falcons4WXSommaire du match
52314Falcons7Wildcats4LSommaire du match
54328Wildcats6Monster7LXSommaire du match
56343Wildcats6Youngblood7LSommaire du match
58354Wildcats4Senators7LSommaire du match
60361Wildcats1L'Euphorie8LSommaire du match
62372Prospects9Wildcats4LSommaire du match
63382Les Restants5Wildcats3LSommaire du match
65400Wildcats4Shokers9LSommaire du match
67409Intrepides10Wildcats6LSommaire du match
69425Wildcats5Intrepides9LSommaire du match
70431Youngblood-Wildcats-
72448Wildcats-L'Euphorie-
74458Monkeys -Wildcats-
76470Dynamos-Wildcats-
78484Wildcats-National-
80496Wildcats-Destroyers-
81504Intrepides-Wildcats-
82517Wildcats-Falcons-
84530Brawlers-Wildcats-
86543Wildcats-Warriors-
87554Falcons-Wildcats-
89566Sharks-Wildcats-
90577Wildcats-Sharks-
92590Wildcats-Dynamos-
93598Extreme-Wildcats-
95609Wildcats-Senators-
97622L'Euphorie-Wildcats-
99636Wildcats-Monkeys -
100645Extreme-Wildcats-
101660Wildcats-Patriotes-
102668Shokers-Wildcats-
104684National-Wildcats-
106694Wildcats-Destroyers-
108708Wildcats-Monkeys -
110719Vikings-Wildcats-
111732Wildcats-Monster-
113744Vikings-Wildcats-
115759Wildcats-Shokers-
116766Patriotes-Wildcats-
118784Prospects-Wildcats-
119796Wildcats-Bolt-
120808Bolt-Wildcats-
122816Wildcats-Warriors-
123831Sharks-Wildcats-
125844Wildcats-Bolt-
127855Bolt-Wildcats-
129873Distraction-Wildcats-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
131887Wildcats-Distraction-
132899Prospects-Wildcats-
134910Wildcats-Extreme-
135920Wildcats-Patriotes-
136929Distraction-Wildcats-
138943Wildcats-Prospects-
140951Wildcats-Patriotes-
141957Monster-Wildcats-
145975Monster-Wildcats-



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
24 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
935,279$ 1,167,000$ 1,167,000$ 550,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 677,103$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 78 11,680$ 911,040$




Wildcats 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
1Colton Sceviour456576141817648036917.62%35102822.852233554310125460.94%92.7400
2Taro Hirose376358121195433830820.45%1986423.362222443600036164.15%122.8000
3Matt Irwin631985104413111552896.57%91131520.871228403200024133.33%11.5800
4Christian Folin6328669451595643158.89%55115118.281316292610111150.00%01.6300
5Nick Jensen34186785-51052562009.00%4684224.79113243230005120%02.0200

Wildcats 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
1Magnus Hellberg21010.8952.881250065729000.7504

Wildcats 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
202082284405302463538-7541142004201243261-1841142401101220277-5771463818128100133161164630441064103593516285089863011732648632.58%25515240.39%8629141144.58%491114542.88%892190246.90%1869119617586971312643
202182353905300499509-1041201704000266258841152201300233251-1883499883138210931982035316410371011111062707874666118927013148.52%27316141.03%4728151348.12%538123543.56%865194644.45%1832115417487071346651
2022821257031000346539-1934152803500186272-864172900500160267-107403466489940059150134320285247277689277585458311942518533.86%28916941.52%17436109739.74%505131638.37%712187138.05%157286919458031426651
202382205404400323492-16941122601200177242-654182803200146250-104523236049271041142136418424427086857252084654611982207132.27%26814844.78%2146398347.10%478109943.49%802175645.67%162689618817781420675
20243692302101163242-79174120100080120-40195110110183122-39241632984610032616828902293073481012063892925541245745.97%1417646.10%320952339.96%22055839.43%34184540.36%702386829352634293
Total Saison régulière364104217019210317942320-526181551030139019521153-201183491140612028421167-3252701794325150452035871270520109683296378838464812058386127175308112943038.09%122670642.41%532465552744.60%2232535341.70%3612832043.41%760345038164334061412916
Séries éliminatoires
2020624000002732-5312000001820-231200000912-3427538000312120181546166020478288715426.67%14842.86%0386459.38%447856.41%7513455.97%12173144559747
2021404000002337-14202000001118-7202000001219-70234568009104011841512602025441478450.00%181422.22%1163941.03%308137.04%379837.76%7245107336026
Total Séries éliminatoires1028000005069-19514000002938-9514000002131-1045098148001222160299951129204061326913423834.78%322231.25%15410352.43%7415946.54%11223248.28%1941182518815773

Wildcats 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
1Taro Hirose951015-80813588.62%120522.79134300032050.00%01.4600
2Matt Irwin60773094180%48914.8800000000000%01.5700
3Christian Folin101671094412.44%715115.1700000000000%00.9200

Wildcats 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