Wild
GP: 22 | W: 12 | L: 6 | OTL: 4 | P: 28
GF: 83 | GA: 72 | PP%: 17.14% | PK%: 89.16%
DG: Charles Levesque / Hugo Lussier-Fortin | Morale : 75 | Moyenne d’équipe : 62
Prochain matchs #363 vs IceHogs
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Centre de jeu
Moose
9-14-0, 18pts
5
FINAL
4 Wild
12-6-4, 28pts
Team Stats
L1StreakW1
2-8-0Home Record4-3-1
7-6-0Away Record8-3-3
3-7-0Last 10 Games5-1-4
3.30Buts par match 3.77
3.78Buts contre par match 3.27
22.06%Pourcentage en avantage numérique17.14%
78.21%Pourcentage en désavantage numérique89.16%
Wild
12-6-4, 28pts
4
FINAL
3 Americans
12-9-1, 25pts
Team Stats
W1StreakOTL1
4-3-1Home Record6-5-1
8-3-3Away Record6-4-0
5-1-4Last 10 Games5-4-1
3.77Buts par match 3.18
3.27Buts contre par match 3.18
17.14%Pourcentage en avantage numérique18.92%
89.16%Pourcentage en désavantage numérique80.00%
IceHogs
10-9-3, 23pts
2024-11-29
Wild
12-6-4, 28pts
Statistiques d’équipe
OTL1SéquenceW1
4-4-1Fiche domicile4-3-1
6-5-2Fiche visiteur8-3-3
6-3-110 derniers matchs5-1-4
3.77Buts par match 3.77
3.68Buts contre par match 3.27
18.52%Pourcentage en avantage numérique17.14%
74.63%Pourcentage en désavantage numérique89.16%
Admirals
11-10-2, 24pts
2024-11-30
Wild
12-6-4, 28pts
Statistiques d’équipe
W2SéquenceW1
7-4-1Fiche domicile4-3-1
4-6-1Fiche visiteur8-3-3
3-6-110 derniers matchs5-1-4
3.26Buts par match 3.77
3.35Buts contre par match 3.27
23.33%Pourcentage en avantage numérique17.14%
80.72%Pourcentage en désavantage numérique89.16%
Comets
16-3-2, 34pts
2024-12-03
Wild
12-6-4, 28pts
Statistiques d’équipe
OTL1SéquenceW1
9-1-1Fiche domicile4-3-1
7-2-1Fiche visiteur8-3-3
7-2-110 derniers matchs5-1-4
3.86Buts par match 3.77
2.86Buts contre par match 3.27
16.00%Pourcentage en avantage numérique17.14%
79.41%Pourcentage en désavantage numérique89.16%
Meneurs d'équipe
Nico DawsVictoires
Nico Daws
12
Nico DawsPourcentage d’arrêts
Nico Daws
0.905

Statistiques d’équipe
Buts pour
83
3.77 GFG
Tirs pour
738
33.55 Avg
Pourcentage en avantage numérique
17.1%
12 GF
Début de zone offensive
40.0%
Buts contre
72
3.27 GAA
Tirs contre
750
34.09 Avg
Pourcentage en désavantage numérique
89.2%
9 GA
Début de la zone défensive
41.3%
Information d’équipe

Directeur généralCharles Levesque / Hugo Lussier-Fortin
EntraîneurJeff Halpern
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1Adam Ginning
Assistant #2Tanner Dickinson


Informations de l’aréna

Capacité3,000
Assistance1,571
Billets de saison300


Information formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 80
Espoirs41


Historique d'équipe

Saison actuelle12-6-4 (28PTS)
Historique958-571-159 (0.568%)
Apparitions séries éliminatoires 16
Historique séries éliminatoires (W-L)88-82
Stanley Cup1


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 moyen
1Miles Wood28X100.00734871747981886855676566647271075670292950,000$
2Marco Rossi (R)23X100.00603879726891897375706966746367075670231950,000$
3Zack MacEwen0XX100.00848166649476786563616664626970075650283950,000$
4Adam Klapka0X100.00874964629986846160586264596366075640242950,000$
5Nic Petan0XXX100.00623779656486836670676362657071075640291995,000$
6Aatu Raty (R)0X100.00683892647876866370626061596465075630212950,000$
7Joel L'Esperance0XX100.00743981638394845962586160636971075630292850,000$
8Kole Lind (R)0X100.00704071647684866268655960646668075630251975,000$
9Marian Studenic0XX100.00683789627580855761635860626668075620252950,000$
10Tyler Benson (R)0XX100.00633887607276785965635758626668075610262950,000$
11Chase Wheatcroft (R)0X100.00704081587975685666595457556264075600223950,000$
12Riley Damiani (R)0X100.00553784606477835963585756606466075600243775,000$
13Michael Kesselring (R)0X100.00744572668485866430686061526465075640241750,000$
14Cale Fleury (R)0X100.00733891647881746230635861496668075630251750,000$
15Lucas Carlsson (R)0X100.00683974627390826130635960526769075620271995,000$
16Declan Carlile0X100.00653784607476845930585762486466075610241850,000$
17Peetro Seppala0X100.00703983577963825530565254456466075590242950,000$
Rayé
1Pierrick Dube0X100.00603876626488826160586259616365075610232975,000$
2Chase Wouters (R)0XX100.00623974597173855863575660556469075600241950,000$
3Bogdan Trineyev0XX100.00743892558377715351525458566264075590223999,999$
4Raivis Ansons0XX100.00674079567667745557545358566264075580222975,000$
5Topias Vilen (R)0X77.46673891607668695930665358476163075610213950,000$
6Domenick Fensore (R)0X100.00583685606071665830615352466365075590233950,000$
7Mattias Norlinder (R)0X100.00623888577167825630555354456466075590241950,000$
MOYENNE D’ÉQUIPE99.0668418162767980605261586057656707562
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 moyen
1Nico Daws (R)100.0077827887767577767577766471075670231950,000$
2Felix Sandstrom (R)100.0074807683737274737274736777075650271995,000$
Rayé
1Vadim Zherenko100.0073807676727173727173726369075640232975,000$
2Oskari Salminen100.0068807690676668676668676573075620252850,000$
MOYENNE D’ÉQUIPE100.007381778472717372717372657307565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Halpern72697865726778USA482700,000$


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
1Marco RossiWild (MIN)C221222341100391108348211.11%1353124.1602214622024973052.70%81400011.2800000131
2Miles WoodWild (MIN)LW2212183011160476186217313.95%951423.4013412620001812039.02%4100001.1700000342
3Nic PetanWild (MIN)C/LW/RW227142110010517520489.33%238817.652351955000080048.61%50400001.0800000030
4Zack MacEwenWild (MIN)C/RW22813219375772966135912.12%344620.2804411620000291142.11%7600000.9400001211
5Michael KesselringWild (MIN)D2261218-4320803428133221.43%3549822.663251764011062100.00%000000.7200000200
6Adam KlapkaWild (MIN)RW226814022064296512519.23%340918.6211214540000331063.64%2200000.6800000002
7Cale FleuryWild (MIN)D2221113210032232117209.52%3452924.052241266022073000.00%000000.4900000002
8Marian StudenicWild (MIN)LW/RW22571210042045132011.11%537817.22011555000000150.00%2800000.6300000200
9Declan CarlileWild (MIN)D223912810029171491421.43%2836816.77000010000017010.00%000000.6500000000
10Lucas CarlssonWild (MIN)D221101183754728319213.23%3545320.620331250000059100.00%000000.4900000010
11Joel L'EsperanceWild (MIN)C/RW224610-620243531122712.90%227012.2800002000052051.62%27700000.7400000002
12Aatu RatyWild (MIN)C2244844015262181319.05%82059.34000000001300055.17%14500000.7800000001
13Kole LindWild (MIN)RW22358-86039245311335.66%024811.2800000000001038.89%1800000.6400000100
14Topias VilenWild (MIN)D1843724021171651125.00%1836220.16314742000045000.00%000000.3900000100
15Tyler BensonWild (MIN)LW/RW22437-86061432102412.50%224711.2300000000000054.55%1100000.5700000010
16Pierrick DubeWild (MIN)RW2004440098216170.00%01195.9800010000000018.18%1100000.6700000000
17Chase WoutersWild (MIN)C/LW201344007615486.67%01185.93000000000100100.00%400000.6800000000
18Chase WheatcroftWild (MIN)C6000000112220.00%091.5800000000000022.22%900000.0000000000
19Peetro SeppalaWild (MIN)D2000000000000.00%052.930000000005000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne37482152234391861051551473021955511.23%197610616.33122234124591235655012350.71%196000010.7700001121311
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
1Nico DawsWild (MIN)2212640.9053.21132700717490010.0000220011
Statistiques d’équipe totales ou en moyenne2212640.9053.21132700717490010.0000220011


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 Salaire restantSalaire moyenSalaire moyen restantPlafond 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
Aatu RatyWild (MIN)C212002-11-14Yes190 Lbs6 ft2NoNoNo2Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$Lien / Lien NHL
Adam KlapkaWild (MIN)RW242000-09-14No235 Lbs6 ft8NoNoNo2Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$Lien / Lien NHL
Bogdan TrineyevWild (MIN)LW/RW222002-03-04No198 Lbs6 ft3NoNoNo3Pro & Farm999,999$719,387$999,999$719,387$0$0$No999,999$999,999$Lien
Cale FleuryWild (MIN)D251998-11-19Yes204 Lbs6 ft1NoNoNo1Pro & Farm750,000$539,541$750,000$539,541$0$0$NoLien / Lien NHL
Chase WheatcroftWild (MIN)C222002-05-28Yes192 Lbs6 ft2NoNoNo3Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$950,000$
Chase WoutersWild (MIN)C/LW242000-02-08Yes182 Lbs6 ft0NoNoNo1Pro & Farm950,000$683,418$950,000$683,418$0$0$NoLien / Lien NHL
Declan CarlileWild (MIN)D242000-05-18No185 Lbs6 ft1NoNoNo1Pro & Farm850,000$611,480$850,000$611,480$0$0$NoLien / Lien NHL
Domenick FensoreWild (MIN)D232001-09-07Yes151 Lbs5 ft7NoNoNo3Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$950,000$
Felix SandstromWild (MIN)G271997-01-12Yes211 Lbs6 ft2NoNoNo1Pro & Farm995,000$715,791$995,000$715,791$0$0$NoLien / Lien NHL
Joel L'EsperanceWild (MIN)C/RW291995-08-18No215 Lbs6 ft2NoNoNo2Pro & Farm850,000$611,480$850,000$611,480$0$0$No850,000$Lien / Lien NHL
Kole LindWild (MIN)RW251998-10-16Yes193 Lbs6 ft1NoNoNo1Pro & Farm975,000$701,403$975,000$701,403$0$0$NoLien / Lien NHL
Lucas CarlssonWild (MIN)D271997-07-05Yes189 Lbs6 ft0NoNoNo1Pro & Farm995,000$715,791$995,000$715,791$0$0$NoLien / Lien NHL
Marco RossiWild (MIN)C232001-09-23Yes182 Lbs5 ft9NoNoNo1Pro & Farm950,000$683,418$950,000$683,418$0$0$NoLien / Lien NHL
Marian StudenicWild (MIN)LW/RW251998-10-28No190 Lbs6 ft1NoNoNo2Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$Lien / Lien NHL
Mattias NorlinderWild (MIN)D242000-04-12Yes185 Lbs6 ft0NoNoNo1Pro & Farm950,000$683,418$950,000$683,418$0$0$NoLien / Lien NHL
Michael KesselringWild (MIN)D242000-01-13Yes190 Lbs6 ft4NoNoNo1Pro & Farm750,000$539,541$750,000$539,541$0$0$NoLien / Lien NHL
Miles WoodWild (MIN)LW291995-09-13No195 Lbs6 ft2NoNoNo2Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$Lien / Lien NHL
Nic PetanWild (MIN)C/LW/RW291995-03-22No175 Lbs5 ft9NoNoNo1Pro & Farm995,000$715,791$995,000$715,791$0$0$NoLien / Lien NHL
Nico DawsWild (MIN)G232000-12-22Yes205 Lbs6 ft4NoNoNo1Pro & Farm950,000$683,418$950,000$683,418$0$0$NoLien / Lien NHL
Oskari SalminenWild (MIN)G251999-09-22No220 Lbs6 ft4NoNoNo2Pro & Farm850,000$611,480$850,000$611,480$0$0$No850,000$Lien / Lien NHL
Peetro SeppalaWild (MIN)D242000-08-17No192 Lbs6 ft2NoNoNo2Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$Lien / Lien NHL
Pierrick DubeWild (MIN)RW232001-01-07No172 Lbs5 ft9NoNoNo2Pro & Farm975,000$701,403$975,000$701,403$0$0$No975,000$Lien / Lien NHL
Raivis AnsonsWild (MIN)LW/RW222002-01-29No191 Lbs6 ft1NoNoNo2Pro & Farm975,000$701,403$975,000$701,403$0$0$No975,000$Lien / Lien NHL
Riley DamianiWild (MIN)C242000-03-20Yes170 Lbs5 ft10NoNoNo3Pro & Farm775,000$557,526$775,000$557,526$0$0$No775,000$775,000$Lien / Lien NHL
Topias Vilen (sur la masse salariale)Wild (MIN)D212003-04-01Yes194 Lbs6 ft1NoNoNo3Pro & Farm950,000$683,418$950,000$683,418$0$0$Yes950,000$950,000$
Tyler BensonWild (MIN)LW/RW261998-03-15Yes190 Lbs6 ft0NoNoNo2Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$Lien / Lien NHL
Vadim ZherenkoWild (MIN)G232001-03-15No176 Lbs6 ft2NoNoNo2Pro & Farm975,000$701,403$975,000$701,403$0$0$No975,000$Lien / Lien NHL
Zack MacEwenWild (MIN)C/RW281996-07-08No240 Lbs6 ft4NoNoNo3Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.50193 Lbs6 ft11.82928,929$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Miles WoodMarco RossiZack MacEwen40122
2Marian StudenicNic PetanAdam Klapka30122
3Tyler BensonJoel L'EsperanceKole Lind20122
4Marco RossiAatu RatyMiles Wood10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael KesselringCale Fleury40122
2Lucas CarlssonDeclan Carlile30122
3Aatu Raty20122
4Michael KesselringCale Fleury10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Miles WoodMarco RossiZack MacEwen60122
2Marian StudenicNic PetanAdam Klapka40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael KesselringCale Fleury60122
2Lucas CarlssonDeclan Carlile40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Marco RossiMiles Wood60122
2Zack MacEwenAdam Klapka40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael KesselringCale Fleury60122
2Lucas CarlssonDeclan Carlile40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Marco Rossi60122Michael KesselringCale Fleury60122
2Miles Wood40122Lucas CarlssonDeclan Carlile40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Marco RossiMiles Wood60122
2Zack MacEwenAdam Klapka40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael KesselringCale Fleury60122
2Lucas CarlssonDeclan Carlile40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Miles WoodMarco RossiZack MacEwenMichael KesselringCale Fleury
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Miles WoodMarco RossiZack MacEwenMichael KesselringCale Fleury
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Chase Wheatcroft, Riley Damiani, Joel L'EsperanceChase Wheatcroft, Riley DamianiJoel L'Esperance
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Lucas Carlsson, Declan CarlileLucas Carlsson, Declan Carlile
Tirs de pénalité
Marco Rossi, Miles Wood, Zack MacEwen, Adam Klapka, Nic Petan
Gardien
#1 : Nico Daws, #2 : Felix Sandstrom
Lignes d’attaque personnalisées en prolongation
Marco Rossi, Miles Wood, Zack MacEwen, Adam Klapka, Nic Petan, Joel L'Esperance, Joel L'Esperance, Kole Lind, Aatu Raty, Marian Studenic, Chase Wheatcroft
Lignes de défense personnalisées en prolongation
Michael Kesselring, Cale Fleury, Lucas Carlsson, Declan Carlile,


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
1Americans10001000431000000000001000100043121.000471100302527124245229255949181428200.00%70100.00%138877650.00%41480351.56%19236352.89%526361517164283141
2Barracuda11000000615000000000001100000061521.000610160030252713124522925593313827300.00%4175.00%038877650.00%41480351.56%19236352.89%526361517164283141
3Checkers1010000014-3000000000001010000014-300.000123003025271242452292559289822000.00%30100.00%038877650.00%41480351.56%19236352.89%526361517164283141
4Condors11000000532000000000001100000053221.00051015003025271362452292559415230200.00%10100.00%038877650.00%41480351.56%19236352.89%526361517164283141
5Crunch2020000025-31010000002-21010000023-100.000246003025271442452292559561718508112.50%8187.50%038877650.00%41480351.56%19236352.89%526361517164283141
6Firebirds11000000321110000003210000000000021.00035800302527143245229255928106268112.50%30100.00%038877650.00%41480351.56%19236352.89%526361517164283141
7Gulls11000000642000000000001100000064221.00061016003025271392452292559311112234125.00%6266.67%038877650.00%41480351.56%19236352.89%526361517164283141
8IceHogs1000010034-1000000000001000010034-110.500358003025271352452292559311514236116.67%50100.00%138877650.00%41480351.56%19236352.89%526361517164283141
9Marlies11000000532110000005320000000000021.000591400302527143245229255933131120600.00%30100.00%038877650.00%41480351.56%19236352.89%526361517164283141
10Monsters2110000010911010000045-11100000064220.500102030003025271572452292559932030617228.57%15193.33%038877650.00%41480351.56%19236352.89%526361517164283141
11Moose2010010058-31000010045-11010000013-210.25051015103025271702452292559481214738112.50%7185.71%038877650.00%41480351.56%19236352.89%526361517164283141
12Penguins11000000532000000000001100000053221.0005914003025271282452292559381082811100.00%4175.00%038877650.00%41480351.56%19236352.89%526361517164283141
13Phantoms11000000321000000000001100000032121.00036900302527130245229255939111038100.00%50100.00%038877650.00%41480351.56%19236352.89%526361517164283141
14Reign11000000431110000004310000000000021.0004812003025271362452292559347624300.00%30100.00%038877650.00%41480351.56%19236352.89%526361517164283141
15Rocket1010000024-21010000024-20000000000000.00024600302527132245229255928114172150.00%20100.00%038877650.00%41480351.56%19236352.89%526361517164283141
16Stars11000000523110000005230000000000021.0005101500302527150245229255925421611100.00%000.00%038877650.00%41480351.56%19236352.89%526361517164283141
17Thunderbirds2100010011830000000000021000100118330.750112031003025271762452292559802225407228.57%6266.67%038877650.00%41480351.56%19236352.89%526361517164283141
18Wranglers1000010034-1000000000001000010034-110.500358003025271402452292559358422100.00%10100.00%038877650.00%41480351.56%19236352.89%526361517164283141
Total22116014008372118430010027261147301300564610280.636831542371030252717382452292559750216196568701217.14%83989.16%238877650.00%41480351.56%19236352.89%526361517164283141
_Since Last GM Reset22116014008372118430010027261147301300564610280.636831542371030252717382452292559750216196568701217.14%83989.16%238877650.00%41480351.56%19236352.89%526361517164283141
_Vs Conference12710040051391243000100161248410030035278180.750519314410302527145624522925593861079330443716.28%36683.33%138877650.00%41480351.56%19236352.89%526361517164283141
_Vs Division621003002422221000100972411002001515070.5832445691030252712312452292559184535515222522.73%18383.33%138877650.00%41480351.56%19236352.89%526361517164283141

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2228W18315423773875021619656810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2211614008372
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
84301002726
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
147313005646
Derniers 10 matchs
WLOTWOTL SOWSOL
510400
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
701217.14%83989.16%2
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
24522925593025271
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
38877650.00%41480351.56%19236352.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
526361517164283141


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 - 2024-10-1018Monsters5Wild4BLSommaire du match
9 - 2024-10-1233Firebirds2Wild3BWSommaire du match
10 - 2024-10-1338Wild1Moose3ALSommaire du match
12 - 2024-10-1552Wild7Thunderbirds3AWSommaire du match
16 - 2024-10-1983Wild6Monsters4AWSommaire du match
19 - 2024-10-2293Wild1Checkers4ALSommaire du match
21 - 2024-10-24112Wild2Crunch3ALSommaire du match
23 - 2024-10-26123Wild3Phantoms2AWSommaire du match
26 - 2024-10-29153Wild5Penguins3AWSommaire du match
29 - 2024-11-01172Crunch2Wild0BLSommaire du match
31 - 2024-11-03189Marlies3Wild5BWSommaire du match
33 - 2024-11-05200Reign3Wild4BWSommaire du match
35 - 2024-11-07219Wild6Barracuda1AWSommaire du match
36 - 2024-11-08222Wild6Gulls4AWSommaire du match
38 - 2024-11-10237Wild3IceHogs4ALXSommaire du match
42 - 2024-11-14263Rocket4Wild2BLSommaire du match
44 - 2024-11-16281Stars2Wild5BWSommaire du match
47 - 2024-11-19296Wild4Thunderbirds5ALXSommaire du match
49 - 2024-11-21315Wild5Condors3AWSommaire du match
51 - 2024-11-23319Wild3Wranglers4ALXSommaire du match
53 - 2024-11-25342Moose5Wild4BLXSommaire du match
55 - 2024-11-27347Wild4Americans3AWXSommaire du match
57 - 2024-11-29363IceHogs-Wild-
58 - 2024-11-30384Admirals-Wild-
61 - 2024-12-03402Comets-Wild-
64 - 2024-12-06424Wild-Gulls-
65 - 2024-12-07434Wild-Reign-
68 - 2024-12-10454Wild-Roadrunners-
70 - 2024-12-12467Condors-Wild-
72 - 2024-12-14476Phantoms-Wild-
73 - 2024-12-15493Silver Knights-Wild-
76 - 2024-12-18509Checkers-Wild-
78 - 2024-12-20526Roadrunners-Wild-
79 - 2024-12-21536Wild-Moose-
81 - 2024-12-23554IceHogs-Wild-
85 - 2024-12-27563Wild-Stars-
87 - 2024-12-29583Senators-Wild-
89 - 2024-12-31596Admirals-Wild-
91 - 2025-01-02605Wild-Bears-
93 - 2025-01-04624Wild-Wolves-
96 - 2025-01-07646Thunderbirds-Wild-
98 - 2025-01-09662Eagles-Wild-
100 - 2025-01-11683Wild-Barracuda-
101 - 2025-01-12688Wild-Silver Knights-
104 - 2025-01-15706Condors-Wild-
107 - 2025-01-18733Wild-Admirals-
109 - 2025-01-20741Wild-Eagles-
112 - 2025-01-23766Roadrunners-Wild-
114 - 2025-01-25784Wranglers-Wild-
115 - 2025-01-26792Wild-IceHogs-
118 - 2025-01-29807Wild-Marlies-
119 - 2025-01-30813Wild-Rocket-
121 - 2025-02-01828Wild-Senators-
124 - 2025-02-04845Wild-Bruins-
126 - 2025-02-06867Wolves-Wild-
128 - 2025-02-08886Sound Tigers-Wild-
142 - 2025-02-22894Wild-Griffins-
145 - 2025-02-25928Griffins-Wild-
147 - 2025-02-27942Wild-Roadrunners-
148 - 2025-02-28947Wild-Eagles-
150 - 2025-03-02962Bruins-Wild-
152 - 2025-03-04982Wild-Firebirds-
155 - 2025-03-071000Wild-Comets-
157 - 2025-03-091015Penguins-Wild-
159 - 2025-03-111030Eagles-Wild-
161 - 2025-03-131046Wolf Pack-Wild-
163 - 2025-03-151063Thunderbirds-Wild-
165 - 2025-03-171077Reign-Wild-
167 - 2025-03-191088Firebirds-Wild-
170 - 2025-03-221106Americans-Wild-
172 - 2025-03-241127Wild-Stars-
173 - 2025-03-251134Silver Knights-Wild-
175 - 2025-03-271148Bears-Wild-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
177 - 2025-03-291162Devils-Wild-
179 - 2025-03-311178Wild-Devils-
181 - 2025-04-021192Wild-Wolf Pack-
183 - 2025-04-041208Wild-Sound Tigers-
185 - 2025-04-061223Stars-Wild-
188 - 2025-04-091247Barracuda-Wild-
190 - 2025-04-111264Wild-Wranglers-
191 - 2025-04-121273Wild-Comets-
194 - 2025-04-151298Gulls-Wild-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance8,3754,195
Assistance PCT52.34%52.44%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 1571 - 52.38% 85,094$680,749$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
948,620$ 2,506,000$ 2,506,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 752,160$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
170,187$ 141 16,357$ 2,306,337$




Wild Leaders statistiques (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
1Seth Griffith804246383629152154743130924809.92%2101538019.134510014535622436401442.90%30.821151
2Brett Connolly662239346585662241527114724089.93%2991297619.606210817032131422371045.51%80.90948
3Zach Redmond730963334291084371186101312717.55%9711652922.643774111394011101660.00%20.5201
4Darren Haydar395143186329-7154813613139010.29%206760219.253244761403582433542.55%20.87116
5Gustav Nyquist30713416429828104460649111412.03%180622520.282641671023361918850.93%50.96823

Wild 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
1Anton Khudobin380217122390.9132.8522442239106512190619822110.667123
2Jean-Francois Berube23314955220.9132.2313736122851058860740.704115
3Alex Stalock18410059180.9192.67107928648159363079670.73757
4Dustin Tokarski1448144140.9112.98834710741446320420.73037
5Stuart Skinner1367443130.9023.21777726541642350220.70010

Wild 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
580244102436207271-644011200122494131-3740132101212113140-27682073505570110556978216106387267622603925122018251924322.40%2436174.90%9689140948.90%727157346.22%616125749.01%147964318589891797899
680363100373294291340171700240156158-240191400133138133592294463757020711239326310771956898249988486721782165826.85%2325377.16%10831170248.82%822167649.05%626131647.57%1594781370319561672828
776323001319255246938171400106124122238151601213131124780255421676130618610625610814854875243082882119361793921.79%2154778.14%10841166250.60%789155350.80%605117951.31%153977415037561568785
87634250338329524550381911011421611233838151402241134122129629547977431063102119268308789268652579844107622172095526.32%2435577.37%5868173749.97%864174049.66%570115049.57%156580615397501517752
980342804635242258-1640171102523116122-640171702112126136-109324239463624042999425970755934887257185376320591753520.00%2475976.11%8899177350.71%906180950.08%598113952.50%156976616258141660820
1080303503237236247-11401815020051201061440122001232116141-258123637461032053888924220645908846261489475024431894222.22%2165275.93%6840164351.13%876187046.84%552107451.40%157072615758151711862
118047190233627421460402390211414010337402410002221341112311327444571930066107963075010161072964258583448225712346126.07%993168.69%11054202452.08%862170650.53%621116653.26%171291415367761605798
1276442202053292209833822120201114597483822100004214711235105292498790140969792301701068989947259683655219932155023.26%1063071.70%1997194551.26%809164149.30%563111450.54%164990214607271495754
138048200521429022070402290421213999404026110100215112130114290472762230701131013117010011101999270788838321742156027.91%1072873.83%51052205851.12%924182150.74%647121653.21%171793115367611579798
14804129014322512104140181701310108110-240231200122143100439625142567613061909627620851954953271987341419772266327.88%1102874.55%0850179847.27%871180348.31%561112649.82%161781515697811641841
158037290133726223428402110011341371023540161900203125132-792262438700630719592293509691019924262986335319902054823.41%1092874.31%1928187749.44%840174648.11%542112848.05%166288015757891617804
167640250125324820048382211011031361023438181400150112981497248443691060105706724090815804771224668163616542555521.57%2714483.76%21317257151.23%1235251849.05%566117948.01%185412731759564992497
178045170236726617492402660113314381624019110123412393301162664757411130101837426030891915761206462552815522586424.81%2194579.45%11422280050.79%1185249347.53%631128149.26%2061143617505781061550
187632260438324921435381513022511321102238171302132117104139424943268114091737323690794790757228568162915841813921.55%2895979.58%71265247851.05%1281259749.33%571122046.80%187713051779555982493
1982521602039285182103413060200314074664122100003614510837123285517802390113808726710885871886190258534713712195123.29%1472285.03%11353273349.51%1086225848.10%600124948.04%2160152717355861092570
2082303707422251252-1411816032111311181341122104211120134-1484251446697150102756527690896972867262475476320562845720.07%3056578.69%51448295149.07%1414289648.83%629130648.16%1957133819406151062528
218237250863330127130412111042121571233441161404421144148-4105301546847230110879329930977985977286379858418932495622.49%2435676.95%21699306155.50%1589301852.65%730129956.20%2121152818485611010520
22823926065242982534541191203313159127324120140321113912613103298545843030110968432200103910821071279875349618702555421.18%2063981.07%21803320756.22%1615293954.95%729130655.82%2102149418325691031531
23823928056223072703741151604510141154-1341241201112166116501003075618680310791102831211075102298550271879646617412645721.59%2024776.73%11826320556.97%1536281354.60%703130054.08%2105150418315681038533
20228243270570033127061412312024001731304341201503300158140181033316089394411411696530969991012105629272879253419342616524.90%2264181.86%11688309254.59%1618293855.07%745137054.38%2029143218785831038524
202382392904442342308344122120212217314033411717023201691681100342609951111141219910325710551080107469299984662621602587027.13%2747472.99%11658318052.14%1599305952.27%740143551.57%2032144018985811036519
20242211601400837211843001002726114730130056461028831542371030252717382452292559750216196568701217.14%83989.16%238877650.00%41480351.56%19236352.89%526361517164283141
Total Saison régulière16968145710697775905859511174884542026304040334929522458494851394308029374241290726532542083585910095159543687365179419571623592073374190462022816167545091704913486417464809113423.58%439297377.85%81257164968251.76%238624727050.48%133372617350.96%385072358338255158482849914357
Séries éliminatoires
81710700000575528530000028244954000002931-2205797154000182116663021724319865620215149044920.45%53786.79%124647851.46%21943150.81%14125655.08%353192368167313150
91275000003639-35410000019136734000001726-9143656920004219467014218413944816012337017529.41%32487.50%113627449.64%15830551.80%9618252.75%238124255114226112
11624000001921-232100000108230300000913-44193150110351125308467100224701818327414.81%9366.67%08015750.96%5413340.60%518162.96%127671245611559
12147700000494457430000030219734000001923-4144978127000151715587021521015258619111241625624.00%16756.25%018435052.57%16932552.00%10621449.53%312179289131266134
1311740000044311364200000291811532000001513214447311700012161548001691481454641507829913323.08%19384.21%014729450.00%16631752.37%9519149.74%23913824510620498
14734000001722-53120000088042200000914-561727440003682120726773237923414516425.00%70100.00%07917245.93%7316544.24%439047.78%136641386714679
15734000002529-43120000011110422000001418-4625416600066112520757285308931618711436.36%11281.82%07416345.40%7117540.57%5211943.70%142711697215276
161710700000515109720000029227835000002229-72051961470101616165150157159168560166118397551629.09%551670.91%025554946.45%26956947.28%12328643.01%407277440134234114
172316700000726751275000003940-11192000003327632721352070002628157230255235206764209140503742027.03%67789.55%142777655.03%40680550.43%18637749.34%555383570177305151
18404000001015-52020000046-22020000069-3010172700063111103638371653424861218.33%100100.00%14811840.68%8316450.61%317541.33%8154105315225
199450000025241532000001613341300000911-28254469000123102410847677238753516428517.86%11281.82%014530248.01%11326442.80%7814753.06%2301612046412162
217340000022211321000001192413000001112-162242640008772020676273254624414318316.67%20385.00%010522247.30%14526454.92%5312243.44%151105181518641
22514000001014-43120000056-12020000058-3210152500034317205757581523430981417.14%15286.67%010418755.61%9615462.34%346453.13%12485107386733
23734000002427-33210000011101413000001317-462443670006882650867783256653915522522.73%15193.33%015830052.67%14126054.23%7713357.89%185133171519347
2022514000001117-62110000057-230300000610-421118291055101495150399203614613312216.67%21576.19%07316643.98%10721849.08%348042.50%11274139417032
2023191180000077698954000003329410640000044404227714622300272919269623822222313666195155470631523.81%68986.76%038173951.56%35971949.93%16633349.85%466327448135238119
Total Séries éliminatoires1708882000005495463834934000002882454387394800000261301-40176549959150822321721811475988289198819571616618118591163423945110322.84%4297183.45%42642524750.35%2629526849.91%1366275049.67%386724413960144226941340

Wild Leaders statistiques (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
1Brett Connolly88284775-3412181633188.81%41189121.50915244600034142.34%00.7900
2Seth Griffith91383371-1247416128213.48%32188920.76108185101177343.53%20.7500
3Patrick Maroon49142943761114881837.65%3289018.1811011800023247.46%00.9700
4Reid Boucher64192241-58629218010.56%23118518.533581100004141.96%10.6900
5Darren Haydar43221840419726715414.29%2376417.78044300013236.67%11.0500

Wild 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
1Jean-Francois Berube50301540.9102.7529652113615060100.0000
2Anton Khudobin46261730.9203.092758211421769906310.0000
3Nico Daws1911620.8943.68106020656150000.0000
4Josh Harding147340.9253.058670044586334000.0000
5Alex Stalock146440.9093.338486047516268000.0000