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Connexion

Wildcats
GP: 10 | W: 5 | L: 5 | OTL: 0 | P: 10
GF: 50 | GA: 62 | PP%: 41.67% | PK%: 37.50%
DG: Marc-Andre Marinier | Morale : 51 | Moyenne d’équipe : 67
Prochains matchs #132 vs National

Centre de jeu
Wildcats
5-5-0, 10pts
2
FINAL
6 Dynamos
10-0-0, 20pts
Team Stats
OTW1SéquenceW10
4-2-0Fiche domicile5-0-0
1-3-0Fiche domicile5-0-0
5-5-0Derniers 10 matchs10-0-0
5.00Buts par match 8.90
6.20Buts contre par match 2.50
41.67%Pourcentage en avantage numérique80.00%
37.50%Pourcentage en désavantage numérique60.00%
Monsters
4-4-2, 10pts
6
FINAL
7 Wildcats
5-5-0, 10pts
Team Stats
OTL1SéquenceOTW1
3-2-0Fiche domicile4-2-0
1-2-2Fiche domicile1-3-0
4-4-2Derniers 10 matchs5-5-0
5.00Buts par match 5.00
5.80Buts contre par match 6.20
72.00%Pourcentage en avantage numérique41.67%
66.67%Pourcentage en désavantage numérique37.50%
Wildcats
5-5-0, 10pts
Jour 21
National
9-1-0, 18pts
Statistiques d’équipe
OTW1SéquenceW6
4-2-0Fiche domicile5-0-0
1-3-0Fiche visiteur4-1-0
5-5-010 derniers matchs9-1-0
5.00Buts par match 7.40
6.20Buts contre par match 7.40
41.67%Pourcentage en avantage numérique51.02%
37.50%Pourcentage en désavantage numérique70.83%
Wildcats
5-5-0, 10pts
Jour 22
Falcons
8-2-0, 16pts
Statistiques d’équipe
OTW1SéquenceW6
4-2-0Fiche domicile3-2-0
1-3-0Fiche visiteur5-0-0
5-5-010 derniers matchs8-2-0
5.00Buts par match 6.80
6.20Buts contre par match 6.80
41.67%Pourcentage en avantage numérique63.64%
37.50%Pourcentage en désavantage numérique53.49%
National
9-1-0, 18pts
Jour 24
Wildcats
5-5-0, 10pts
Statistiques d’équipe
W6SéquenceOTW1
5-0-0Fiche domicile4-2-0
4-1-0Fiche visiteur1-3-0
9-1-010 derniers matchs5-5-0
7.40Buts par match 5.00
4.20Buts contre par match 5.00
51.02%Pourcentage en avantage numérique41.67%
70.83%Pourcentage en désavantage numérique37.50%
Meneurs d'équipe
Buts
Ryan Lomberg
2
Passes
Jesper Fast
1
Points
Ryan Lomberg
2
Plus/Moins
Jesper Fast
4
Victoires
Magnus Hellberg
1
Pourcentage d’arrêts
Magnus Hellberg
0.852

Statistiques d’équipe
Buts pour
50
5.00 GFG
Tirs pour
259
25.90 Avg
Pourcentage en avantage numérique
41.7%
15 GF
Début de zone offensive
30.1%
Buts contre
62
6.20 GAA
Tirs contre
303
30.30 Avg
Pourcentage en désavantage numérique
37.5%%
20 GA
Début de la zone défensive
24.7%
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 Pro14
Équipe Mineure21
Limite contact 35 / 55
Espoirs12


Historique d'équipe

Saison actuelle5-5-0 (10PTS)
Historique117-199-20 (0.348%)
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 FaschingX100.0077619588817854735069767653697105470N02921,250,000$
2Nicolas Aube-KubelX100.0093599289847466685068677650747305469N0291955,000$
3Ryan LombergX100.008971778885778968606571735072750546903011,400,000$
4Jesper FastX100.0079599587827480685469667650858105469N03321,150,000$
5Paul Cotter (R)X100.00956488939174836962716771507072054690253850,000$
6Cody GlassXX100.007456898580754570636871705072740546802622,500,000$
7Samuel BlaisX100.0097688782916957645066616950737505466N0281885,000$
8Jesse Ylonen (R)X100.00735995897970646450636576706970054660251925,000$
9Jordan Spence (R)X100.00775496887676797050776366506871054700241950,000$
10Michael Kesselring (R)X100.00887773818773886950687075517072051700251925,000$
11Ethan BearX100.007357918479764065506664655073750546602712,200,000$
12Jacob Bernard-Docker (R)X100.00505050505050505050505050505050051490242805,000$
Rayé
MOYENNE D’ÉQUIPE100.0080618684807266675367667052707205467
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
1Magnus Hellberg100.007069669569707475767477657005670N0341915,000$
2Ivan Prosvetov (R)100.0074646489747571677369726567056690261775,000$
Rayé
MOYENNE D’ÉQUIPE100.007267659272737371757275656905670
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 LuostarinenStallionsC1033400252060%12121.8300002000020089.47%1910002.7500000010
2Cole SillingerStallionsC/LW11120002020050.00%01919.671121300000000%001002.0300000000
3Morgan GeekieStallionsC/RW11120002362116.67%02424.2011213000010173.68%1901001.6500000000
4Ryan LombergWildcats (STL)LW12023001040450.00%01818.270000200000000%222002.1900000100
5Jesper FastWildcats (STL)RW11124000131133.33%01717.030000200000000%012002.3500000001
6Michael KesselringWildcats (STL)D11124404120050.00%12424.780000300000100%003001.6100000000
7Ethan BearWildcats (STL)D1011-300002020%42222.180000200002000%002000.9000000000
8Paul CotterWildcats (STL)C1101-2001151220.00%01616.9700000000010071.43%711001.1800000000
9Hudson FaschingWildcats (STL)RW1000-100011100%02020.78000030000000100.00%21000000000000
10Cody GlassWildcats (STL)C/RW1000-200200000%02020.55000020000000100.00%10100000000000
11Nicolas Aube-KubelWildcats (STL)RW1000-100002220%11717.550000000000000%10000000000000
12Samuel BlaisWildcats (STL)LW1000-200102050%11515.12000000000100100.00%10000000000000
13Jesse YlonenWildcats (STL)RW1000000000100%21313.650000000000000%00100000000000
14Jordan SpenceWildcats (STL)D1000400213000%12727.280000300002000%00000000000000
Statistiques d’équipe totales ou en moyenne14781584017133482320.59%1127919.992242300000141176.92%52614001.0700000111
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 HellbergWildcats (STL)11000.8524.00600042714000010000
Statistiques d’équipe totales ou en moyenne11000.8524.0060004271400010000


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
Cody GlassWildcats (STL)C/RW261999-04-01CANNo192 Lbs6 ft2NoNoFree AgentNoNo22025-04-11FalseFalsePro & Farm2,500,000$2,193,878$0$0$No2,500,000$--------2,500,000$--------No--------Lien
Ethan BearWildcats (STL)D271997-06-26CANNo197 Lbs5 ft11NoNoFree AgentNoNo12025-04-13FalseFalsePro & Farm2,200,000$1,930,612$0$0$No---------------------------Lien
Hudson FaschingWildcats (STL)RW291995-07-28USANo209 Lbs6 ft3YesNoFree Agent2024-06-24NoNo22025-05-02FalseFalsePro & Farm1,250,000$1,096,939$0$0$No1,250,000$--------1,250,000$--------Yes--------
Ivan ProsvetovWildcats (STL)G261999-03-05RUSYes195 Lbs6 ft5NoNoFree AgentNoNo12025-04-11FalseFalsePro & Farm775,000$680,102$0$0$No---------------------------
Jacob Bernard-DockerWildcats (STL)D242000-06-30CANYes198 Lbs6 ft1NoNoTrade2025-05-15NoNo22025-01-16FalseFalsePro & Farm805,000$706,429$0$0$No805,000$--------805,000$--------No--------
Jesper FastWildcats (STL)RW331991-12-02SWENo188 Lbs6 ft0YesNoFree AgentNoNo22025-05-02FalseFalsePro & Farm1,150,000$1,009,184$0$0$No1,150,000$--------1,150,000$--------Yes--------Lien
Jesse YlonenWildcats (STL)RW251999-10-03USAYes200 Lbs6 ft1NoNoFree AgentNoNo12025-04-11FalseFalsePro & Farm925,000$811,735$0$0$No---------------------------
Jordan SpenceWildcats (STL)D242001-02-24AUSYes180 Lbs5 ft11NoNoDraftNoNo12024-05-21FalseFalsePro & Farm950,000$833,673$0$0$No---------------------------
Magnus HellbergWildcats (STL)G341991-04-04SUÈNo220 Lbs6 ft6YesNoFree AgentNoNo12025-05-02FalseFalsePro & Farm915,000$802,959$0$0$No---------------------------
Michael KesselringWildcats (STL)D252000-01-13USAYes215 Lbs6 ft5NoNoTrade2025-03-21NoNo12025-01-16FalseFalsePro & Farm925,000$811,735$0$0$No---------------------------
Nicolas Aube-KubelWildcats (STL)RW291996-05-10CANNo187 Lbs5 ft11YesNoFree AgentNoNo12025-05-03FalseFalsePro & Farm955,000$838,061$0$0$No---------------------------Lien
Paul CotterWildcats (STL)C251999-11-16USAYes213 Lbs6 ft2NoNoFree Agent2024-10-20NoNo32025-04-11FalseFalsePro & Farm850,000$745,918$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------
Ryan LombergWildcats (STL)LW301994-12-09CANNo187 Lbs5 ft9NoNoFree AgentNoNo12024-04-01FalseFalsePro & Farm1,400,000$1,228,571$0$0$No---------------------------
Samuel BlaisWildcats (STL)LW281996-06-17QUÉNo205 Lbs6 ft2YesNoFree AgentNoNo12025-05-03FalseFalsePro & Farm885,000$776,633$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1427.50199 Lbs6 ft21.431,177,500$



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
1Bolt11000000853000000000001100000085321.000816240072319131648510642456176466.67%3233.33%07315646.79%6112847.66%11223447.86%2151202079317889
2Distraction1010000047-31010000047-30000000000000.0004610007231913064851064301412104250.00%6433.33%07315646.79%6112847.66%11223447.86%2151202079317889
3Dynamos1010000026-4000000000001010000026-400.0002460072319126648510644517220300.00%110.00%07315646.79%6112847.66%11223447.86%2151202079317889
4L'Euphorie1010000039-6000000000001010000039-600.00034700723191206485106438712214250.00%6516.67%07315646.79%6112847.66%11223447.86%2151202079317889
5Monster2200000012662200000012660000000000041.0001221330072319154648510644884387457.14%20100.00%07315646.79%6112847.66%11223447.86%2151202079317889
6Monsters10001000761100010007610000000000021.000713200072319124648510644212812400.00%4325.00%07315646.79%6112847.66%11223447.86%2151202079317889
7Prospects1010000038-5000000000001010000038-500.000369007231911764851064221110232150.00%5340.00%07315646.79%6112847.66%11223447.86%2151202079317889
8Sharks10100000411-710100000411-70000000000000.0004711007231912364851064277624100.00%3233.33%07315646.79%6112847.66%11223447.86%2151202079317889
9Warriors11000000743110000007430000000000021.000781500723191346485106427124175240.00%20100.00%07315646.79%6112847.66%11223447.86%2151202079317889
Total1045010005062-126320100034340413000001628-12100.500508513500723191259648510643039364182361541.67%322037.50%07315646.79%6112847.66%11223447.86%2151202079317889
_Since Last GM Reset1045010005062-126320100034340413000001628-12100.500508513500723191259648510643039364182361541.67%322037.50%07315646.79%6112847.66%11223447.86%2151202079317889
_Vs Conference734000003446-12422000002024-4312000001422-860.42934609400723191175648510641895250133241354.17%251636.00%07315646.79%6112847.66%11223447.86%2151202079317889
_Vs Division21300000715-81010000047-31120000038-520.50071219007231914764851064522522336350.00%11736.36%07315646.79%6112847.66%11223447.86%2151202079317889

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1010OTW15085135259303936418200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104510005062
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63210003434
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41300001628
Derniers 10 matchs
WLOTWOTL SOWSOL
451000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
361541.67%322037.50%0
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
64851064723191
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
7315646.79%6112847.66%11223447.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2151202079317889


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
21132Wildcats-National-
22143Wildcats-Falcons-
24155National-Wildcats-
26164Wildcats-Sharks-
28173Wildcats-Youngblood-
30189Bolt-Wildcats-
32202Dynamos-Wildcats-
34213Wildcats-Extreme-
36224Wildcats-Guerriers du Nord-
38235National-Wildcats-
40249Wildcats-Prospects-
42254L'Euphorie-Wildcats-
44269Wildcats-Sharks-
46281L'Euphorie-Wildcats-
48297Destroyers-Wildcats-
51311Wildcats-Falcons-
52314Falcons-Wildcats-
54328Wildcats-Monster-
56343Wildcats-Youngblood-
58354Wildcats-Senators-
60361Wildcats-L'Euphorie-
62372Prospects-Wildcats-
63382Les Restants-Wildcats-
65400Wildcats-Shokers-
67409Intrepides-Wildcats-
69425Wildcats-Intrepides-
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
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
306,952$ 1,648,500$ 1,648,500$ 550,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 239,599$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 129 14,956$ 1,929,324$




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 Hellberg11000.8524.006000427140000

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
20241045010005062-126320100034340413000001628-1210508513500723191259648510643039364182361541.67%322037.50%07315646.79%6112847.66%11223447.86%2151202079317889
Total Saison régulière33899199018200216812140-45917054930139019061067-161168451060511017751073-2982561681303847192033367465619103373131356636044211155356524894936104138837.27%111765041.81%502329516045.14%2073492342.11%3383770943.88%711642367541308056842712
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