Connexion

Wild
GP: 13 | W: 7 | L: 6
GF: 55 | GA: 51 | PP%: 25.00% | PK%: 80.43%
DG: Jasmin Leroux | Morale : 94 | Moyenne d’équipe : 67
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Centre de jeu
Wild
7-6-0, 14pts
4
FINAL
7 Palm Springs Eager
8-3-0, 16pts
Team Stats
OTL1SéquenceOTW1
4-3-0Fiche domicile4-1-0
3-3-0Fiche domicile4-2-0
5-4-1Derniers 10 matchs7-3-0
4.23Buts par match 4.18
3.92Buts contre par match 3.27
25.00%Pourcentage en avantage numérique20.00%
80.43%Pourcentage en désavantage numérique79.55%
Palm Springs Eager
8-3-0, 16pts
5
FINAL
4 Wild
7-6-0, 14pts
Team Stats
OTW1SéquenceOTL1
4-1-0Fiche domicile4-3-0
4-2-0Fiche domicile3-3-0
7-3-0Derniers 10 matchs5-4-1
4.18Buts par match 4.23
3.27Buts contre par match 3.92
20.00%Pourcentage en avantage numérique25.00%
79.55%Pourcentage en désavantage numérique80.43%
Meneurs d'équipe
Tanner PearsonButs
Tanner Pearson
13
Jalen ChatfieldPasses
Jalen Chatfield
13
Tanner PearsonPoints
Tanner Pearson
23
Dillon SimpsonPlus/Moins
Dillon Simpson
6
Maxime LagaceVictoires
Maxime Lagace
6
Maxime LagacePourcentage d’arrêts
Maxime Lagace
0.893

Statistiques d’équipe
Buts pour
55
4.23 GFG
Tirs pour
542
41.69 Avg
Pourcentage en avantage numérique
25.0%
13 GF
Début de zone offensive
41.7%
Buts contre
51
3.92 GAA
Tirs contre
475
36.54 Avg
Pourcentage en désavantage numérique
80.4%%
9 GA
Début de la zone défensive
39.6%
Informations de l'équipe

Directeur généralJasmin Leroux
EntraîneurAndrew Brunette
DivisionDivision central
ConférenceConference Ouest
CapitaineMichael Mersch
Assistant #1Dillon Simpson
Assistant #2Jeremy Gregoire


Informations de l’aréna

Capacité3,000
Assistance2,824
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 80
Espoirs14


Historique d'équipe

Saison actuelle7-6
Historique172-122-31 (0.529%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)13-17
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
1Tanner PearsonX97.006842827079868871667472747975730817103111,900,000$
2Anders BjorkXX97.005835936674818673697272747267660787002731,300,000$
3Antti SuomelaX100.00613794647076797684737273756870082690303950,000$
4Joseph GambardellaXX97.00613888698078836980737170707568080690302900,000$
5Taylor Raddysh (R)X98.00743786648379827685696971776567081690264950,000$
6Anthony LouisXX98.00583788767183867585696968747169082690292950,000$
7Jeremy Gregoire (A)XXX99.00647156728582876970696769667169079690282950,000$
8Kasper Bjorkqvist (R)XX98.00683881758773827265697069736567078690262825,000$
9Michael Mersch (C)XX100.00745571608388866872707071667772081690313900,000$
10Lukas Jasek (R)XX100.00563788737781867385707068696764082690262950,000$
11Danick MartelXX97.00675972717679847174727169727367080690293900,000$
12Nikita JevpalovsXX100.00693785718985866365656968717366039680293900,000$
13Dillon Simpson (A)X97.00723788628179847030696271637571082690313900,000$
14Ben Gleason (R)X98.00565176758379847330706469626563082690261825,000$
15Jalen ChatfieldX97.006839776484828565307258726066680826902731,000,000$
16Ben ThomasX100.00563595748580756230696469606965082680273975,000$
17Connor Hobbs (R)X98.00685176748768656230706372556764052680272950,000$
18Eemeli Rasanen (R)X99.00553582658080806030625565505550078640251525,000$
Rayé
1Ryan Kuffner (R)X100.00663593718668737767707167646965075680272950,000$
2Grant Mismash (R)X100.00633889648269867564696965646365019670251525,000$
3Shawn SzydlowskiX100.00755578797468776450656766607951020650331625,000$
4Ivan Lodnia (R)X100.00643786686580806545656261686365019630241525,000$
5Jordy Stallard (R)X100.00454590706565656065656759505050020610261525,000$
6Michael PrapavessisX100.00683593607770686030625269556965020640281525,000$
7Scott Walford (R)X100.00453575708075756030626369505050020640251525,000$
8Robin NorellX100.00454580657570806030605967505151020620291525,000$
MOYENNE D’ÉQUIPE98.8562428369797780685668666964676406167
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
1Maxime Lagace97.0075747668666566667974607083074700313900,000$
2Shane Starrett100.0064777561707577676669557377081690293900,000$
Rayé
1Kirill Ustimenko (R)100.0066686781656465646355646369023650251525,000$
MOYENNE D’ÉQUIPE99.006873737067686966696660697605968
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andrew Brunette73818773757076USA512600,000$


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
1Tanner PearsonWild (MIN)LW131310232175302663204820.63%535627.4326812460000473152.54%11800011.2900100200
2Jalen ChatfieldWild (MIN)D13113146603010194155.26%1734926.910331347000041000%000000.8000000110
3Joseph GambardellaWild (MIN)C/LW134812040193938122610.53%428321.8044815450000270053.66%38200000.8500000000
4Dillon SimpsonWild (MIN)D1339126402362732111.11%2135026.983361447000043000%000000.6800000002
5Anthony LouisWild (MIN)C/LW1366121203236213529.68%226120.151121043000000155.56%2700010.9200000110
6Danick MartelWild (MIN)C/LW134812213531414421429.09%428121.6501113420000200250.14%35100000.8500010010
7Taylor RaddyshWild (MIN)RW13471116032124414259.09%126020.071121043000001053.85%1300000.8400000001
8Ben GleasonWild (MIN)D131910-1401411219124.76%2229822.931121440000139000%000000.6700000101
9Connor HobbsWild (MIN)D13459-112027924101116.67%2529422.641231240000035010%000000.6100000010
10Anders BjorkWild (MIN)LW/RW134480007256313356.35%331324.1301115460005540059.09%2200000.5100000001
11Jeremy GregoireWild (MIN)C/LW/RW13268-3801641259188.00%018314.1300001000000051.24%20100000.8700000001
12Kasper BjorkqvistWild (MIN)LW/RW13336-4004264914266.12%119915.31000000000171040.00%3500000.6000000100
13Michael MerschWild (MIN)LW/RW13224-44018143710185.41%218113.9700000000001066.67%1200000.4400000010
14Ben ThomasWild (MIN)D13123-580101012198.33%2019815.300001400001000%000000.3000000000
15Nikita JevpalovsWild (MIN)LW/RW132132402142650.00%1554.2400000000000025.00%400001.0900000000
16Lukas JasekWild (MIN)C/RW13033200074560%1544.2100000000000046.97%6600001.1000000000
17Eemeli RasanenWild (MIN)D13022-52952175130%819715.2100000000011000%000000.2000000000
18Antti SuomelaWild (MIN)C1310100001102100.00%0151.1600003000041050.00%1000001.3300000000
Statistiques d’équipe totales ou en moyenne2345598153-11211528730954216137510.15%137413717.6813233612945300063467551.57%124100020.7400110656
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
1Maxime LagaceWild (MIN)136410.8933.56758004542101000130112
2Shane StarrettWild (MIN)21100.8894.19860065400000013000
Statistiques d’équipe totales ou en moyenne157510.8933.62845005147501001313112


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Anders BjorkWild (MIN)LW/RW271996-08-05 14:23:08No183 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,300,000$46,429$0$0$No1,300,000$1,300,000$-------NoNo-------Lien / Lien NHL
Anthony LouisWild (MIN)C/LW291995-02-10 02:08:38No150 Lbs5 ft7NoNoN/ANoNo2Pro & Farm950,000$33,929$0$0$No950,000$--------No--------Lien / Lien NHL
Antti SuomelaWild (MIN)C301994-03-17 12:43:35No183 Lbs6 ft0NoNoN/ANoNo3Pro & Farm950,000$33,929$0$0$No950,000$950,000$-------NoNo-------Lien / Lien NHL
Ben GleasonWild (MIN)D261998-03-25 06:27:29Yes180 Lbs6 ft1NoNoN/ANoNo1Pro & Farm825,000$29,464$0$0$No------------------Lien / Lien NHL
Ben ThomasWild (MIN)D271996-05-28 12:37:47No187 Lbs6 ft1NoNoN/ANoNo3Pro & Farm975,000$34,821$0$0$No975,000$975,000$-------NoNo-------Lien / Lien NHL
Connor HobbsWild (MIN)D271997-01-04 01:41:10Yes196 Lbs6 ft1NoNoN/ANoNo2Pro & Farm950,000$33,929$0$0$No950,000$--------No--------Lien
Danick MartelWild (MIN)C/LW291994-12-12 05:06:20No176 Lbs5 ft8NoNoN/ANoNo3Pro & Farm900,000$32,143$0$0$No900,000$900,000$-------NoNo-------Lien / Lien NHL
Dillon SimpsonWild (MIN)D311993-02-10 06:36:33No205 Lbs6 ft2NoNoN/ANoNo3Pro & Farm900,000$32,143$0$0$No900,000$900,000$-------NoNo-------Lien / Lien NHL
Eemeli RasanenWild (MIN)D251999-03-06 06:26:11Yes220 Lbs6 ft6NoNoN/ANoNo1Pro & Farm525,000$18,750$0$0$No------------------Lien
Grant MismashWild (MIN)LW251999-02-19 03:28:24Yes186 Lbs6 ft0NoNoN/ANoNo1Pro & Farm525,000$18,750$0$0$No------------------Lien / Lien NHL
Ivan LodniaWild (MIN)RW241999-08-31 03:30:10Yes194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm525,000$18,750$0$0$No------------------Lien / Lien NHL
Jalen ChatfieldWild (MIN)D271996-05-15 10:50:48No188 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,000,000$35,714$0$0$No1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jeremy GregoireWild (MIN)C/LW/RW281995-09-05 02:15:12No194 Lbs6 ft0NoNoN/ANoNo2Pro & Farm950,000$33,929$0$0$No950,000$--------No--------Lien / Lien NHL
Jordy StallardWild (MIN)C261997-09-18 12:18:11Yes187 Lbs6 ft2NoNoN/ANoNo1Pro & Farm525,000$18,750$0$0$No------------------Lien
Joseph GambardellaWild (MIN)C/LW301993-12-01 12:53:07No196 Lbs5 ft10NoNoN/ANoNo2Pro & Farm900,000$32,143$0$0$No900,000$--------No--------Lien / Lien NHL
Kasper BjorkqvistWild (MIN)LW/RW261997-07-10 03:59:20Yes198 Lbs6 ft1NoNoN/ANoNo2Pro & Farm825,000$29,464$0$0$No825,000$--------No--------Lien / Lien NHL
Kirill UstimenkoWild (MIN)G251999-01-29 03:26:39Yes187 Lbs6 ft3NoNoN/ANoNo1Pro & Farm525,000$18,750$0$0$No------------------Lien / Lien NHL
Lukas JasekWild (MIN)C/RW261997-08-28 22:20:08Yes165 Lbs5 ft11NoNoN/ANoNo2Pro & Farm950,000$33,929$0$0$No950,000$--------No--------Lien
Maxime LagaceWild (MIN)G311993-01-12 02:23:32No190 Lbs6 ft2NoNoN/ANoNo3Pro & Farm900,000$32,143$0$0$No900,000$900,000$-------NoNo-------Lien / Lien NHL
Michael MerschWild (MIN)LW/RW311992-08-02 16:59:56No198 Lbs6 ft2NoNoN/ANoNo3Pro & Farm900,000$32,143$0$0$No900,000$900,000$-------NoNo-------Lien / Lien NHL
Michael PrapavessisWild (MIN)D281996-01-07 09:44:41No181 Lbs6 ft2NoNoN/ANoNo1Pro & Farm525,000$18,750$0$0$No------------------Lien
Nikita JevpalovsWild (MIN)LW/RW291994-09-09 07:57:57No209 Lbs6 ft1NoNoN/ANoNo3Pro & Farm900,000$32,143$0$0$No900,000$900,000$-------NoNo-------Lien
Robin NorellWild (MIN)D291995-02-18 14:15:45No192 Lbs5 ft11NoNoN/ANoNo1Pro & Farm525,000$18,750$0$0$No------------------Lien
Ryan KuffnerWild (MIN)LW271996-06-12 02:34:56Yes194 Lbs6 ft1NoNoN/ANoNo2Pro & Farm950,000$33,929$0$0$No950,000$--------No--------Lien
Scott WalfordWild (MIN)D251999-01-12 02:08:22Yes202 Lbs6 ft1NoNoN/ANoNo1Pro & Farm525,000$18,750$0$0$No------------------Lien
Shane StarrettWild (MIN)G291994-07-12 03:13:42No181 Lbs6 ft5NoNoN/ANoNo3Pro & Farm900,000$32,143$0$0$No900,000$900,000$-------NoNo-------Lien
Shawn SzydlowskiWild (MIN)RW331990-08-05 11:14:44No209 Lbs6 ft0NoNoN/ANoNo1Pro & Farm625,000$22,321$0$0$No------------------Lien
Tanner PearsonWild (MIN)LW311992-08-10 12:25:12No204 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,900,000$67,857$0$0$No------------------Lien / Lien NHL
Taylor RaddyshWild (MIN)RW261998-02-18 12:29:44Yes209 Lbs6 ft2NoNoN/ANoNo4Pro & Farm950,000$33,929$0$0$No950,000$950,000$950,000$------NoNoNo------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2927.83191 Lbs6 ft12.03848,276$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner PearsonJoseph GambardellaAnders Bjork40122
2Anthony LouisDanick MartelTaylor Raddysh30122
3Kasper BjorkqvistJeremy GregoireMichael Mersch20122
4Nikita JevpalovsLukas JasekTanner Pearson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldDillon Simpson40122
2Ben GleasonConnor Hobbs30122
3Ben ThomasEemeli Rasanen20122
4Jalen ChatfieldDillon Simpson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner PearsonJoseph GambardellaAnders Bjork60122
2Anthony LouisDanick MartelTaylor Raddysh40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldDillon Simpson60122
2Ben GleasonConnor Hobbs40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tanner PearsonAnders Bjork60122
2Joseph GambardellaDanick Martel40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldDillon Simpson60122
2Ben GleasonConnor Hobbs40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tanner Pearson60122Jalen ChatfieldDillon Simpson60122
2Anders Bjork40122Ben GleasonConnor Hobbs40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tanner PearsonAnders Bjork60122
2Joseph GambardellaDanick Martel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldDillon Simpson60122
2Ben GleasonConnor Hobbs40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner PearsonJoseph GambardellaAnders BjorkJalen ChatfieldDillon Simpson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner PearsonJoseph GambardellaAnders BjorkJalen ChatfieldDillon Simpson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Antti Suomela, Jeremy Gregoire, Kasper BjorkqvistAntti Suomela, Jeremy GregoireKasper Bjorkqvist
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ben Thomas, Eemeli Rasanen, Ben GleasonBen ThomasEemeli Rasanen, Ben Gleason
Tirs de pénalité
Tanner Pearson, Anders Bjork, Joseph Gambardella, Danick Martel, Taylor Raddysh
Gardien
#1 : Maxime Lagace, #2 : Shane Starrett


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
1Heat 64200000282443210000014113321000001413180.66728507800161620326917115518135222775713723521.74%17476.47%027151752.42%24949250.61%12023251.72%34924832010017688
2Palm Springs Eager73400000272704220000017134312000001014-460.42927487500161620327317115518135253606415029827.59%29582.76%027151752.42%24949250.61%12023251.72%34924832010017688
Total137600000555147430000031247633000002427-3140.538559815300161620354217115518135475137121287521325.00%46980.43%027151752.42%24949250.61%12023251.72%34924832010017688
_Since Last GM Reset137600000555147430000031247633000002427-3140.538559815300161620354217115518135475137121287521325.00%46980.43%027151752.42%24949250.61%12023251.72%34924832010017688
_Vs Conference137600000555147430000031247633000002427-3140.538559815300161620354217115518135475137121287521325.00%46980.43%027151752.42%24949250.61%12023251.72%34924832010017688

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1314OTL1559815354247513712128700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
137600005551
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
74300003124
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63300002427
Derniers 10 matchs
WLOTWOTL SOWSOL
342100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
521325.00%46980.43%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
171155181351616203
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
27151752.42%24949250.61%12023251.72%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
34924832010017688


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
12Heat 5Wild6BWXSommaire du match
310Heat 4Wild8BWSommaire du match
518Wild3Heat 4ALSommaire du match
726Wild3Heat 2AWXSommaire du match
934Heat 2Wild0BLSommaire du match
1142Wild8Heat 7AWXSommaire du match
1558Palm Springs Eager4Wild2BLSommaire du match
1762Palm Springs Eager2Wild5BWSommaire du match
1966Wild3Palm Springs Eager1AWSommaire du match
2170Wild3Palm Springs Eager6ALSommaire du match
2374Palm Springs Eager2Wild6BWSommaire du match
2578Wild4Palm Springs Eager7ALSommaire du match
2782Palm Springs Eager5Wild4BLXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance12,7657,000
Assistance PCT91.18%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 2824 - 94.12% 111,531$780,720$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,460,000$ 2,470,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 0$ 0$




Wild 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
1Joseph Gambardella23983108191-54218842166512.48%43431518.05292857144123514552.78%10.8918
2Ben Gleason24533157190101333312953888.51%333544722.2410526219714510520%00.7000
3Kyle Criscuolo2057898176223614931750315.51%34345816.871321349010199453.26%31.0216
4Connor Hobbs24244128172-1624058425536612.02%340544222.491641571830113530%00.6300
5Nick Ritchie2226886154822672933164510.54%56428219.2911193094101108647.18%10.72514

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
1Maxime Lagace1568852120.8873.62897116354147840530.68635
2Daniel Altshuller944034110.8883.7550106231327990300.85721
3Thomas McCollum74342870.8873.6741868125622700300.6258
4Shane Starrett236420.9122.8991540444990110.75016
5Kirill Ustimenko173420.8983.6472500444330000.50010

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
2082313606513311313-241161804201163154941151802312148159-118431156187201124801008266789983790934271973470319892526023.81%3067276.47%01435283950.55%1464291350.26%750145451.58%1939133419496061067531
21823530009533083071412111005311591392041141900422149168-1992308551859021041039611259584288784054278875663818692606123.46%3006877.33%31400282649.54%1417291048.69%718142450.42%1920130619806161080536
2282352708633329296334122150211016914029411312065231601564101329596925131268910317289692395596185263275957518342947625.85%2525080.16%41534293952.19%1399275850.73%735141252.05%1995138719306041063531
2382402905233336302344120150401116514817412014012221711541710133659192730145948912284597292192452268271564718032725620.59%2635080.99%41468289350.74%1491283352.63%788147853.32%1979136819106061072543
Total Saison régulière32814112201922121212841218661647959010853656581751646263091479628637-937812842299358346499366388481100336363600363422510821296425637495107825323.47%112124078.59%1158371149750.77%57711141450.56%2991576851.86%783553977771243442832142
Séries éliminatoires
21514000001621-520200000710-331200000911-2216284400627116545466113183422410619210.53%12558.33%111020653.40%9418949.74%428450.00%12281130396935
221257000004750-3624000002126-563300000262421047821291021151104261571271348432138102257381026.32%461078.26%022943053.26%21043348.50%10422246.85%2801942998915877
23137600000555147430000031247633000002427-314559815300161620354217115518135475137121287521325.00%46980.43%027151752.42%24949250.61%12023251.72%34924832010017688
Total Séries éliminatoires30131700000118122-41569000005960-11578000005962-32611820832610433338411333733283765610903172476501092522.94%1042476.92%1610115352.91%553111449.64%26653849.44%752525750229404200

Wild 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
1Tanner Pearson1313102321730266320.63%535627.432681200003152.54%11.2900
2Joseph Gambardella2571623-5123153739.59%749419.7956112200000053.25%00.9300
3Danick Martel259142321565578910.11%954021.620222600000350.14%00.8500
4Ben Gleason2712223-2103029362.78%4660722.51167200001000%00.7600
5Anthony Louis3071522-34969907.78%645915.311231000000156.42%10.9600

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
1Maxime Lagace2511930.8883.841468009483601100
2Shane Starrett31100.9143.161140067000000
3Daniel Mannella41300.8813.88263001714300000
4Daniel Altshuller10100.9004.00600044000000