Wild
GP: 19 | W: 11 | L: 8
GF: 77 | GA: 69 | PP%: 23.81% | PK%: 86.76%
DG: Charles Levesque / Hugo Lussier-Fortin | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Condors
15-8-0, 30pts
4
FINAL
5 Wild
11-8-0, 22pts
Team Stats
W1StreakOTL1
10-3-0Home Record5-4-0
5-5-0Away Record6-4-0
6-1-3Last 10 Games5-4-1
4.17Buts par match 4.05
3.04Buts contre par match 3.63
26.26%Pourcentage en avantage numérique23.81%
79.66%Pourcentage en désavantage numérique86.76%
Wild
11-8-0, 22pts
3
FINAL
4 Condors
15-8-0, 30pts
Team Stats
OTL1StreakW1
5-4-0Home Record10-3-0
6-4-0Away Record5-5-0
5-4-1Last 10 Games6-1-3
4.05Buts par match 4.17
3.63Buts contre par match 3.04
23.81%Pourcentage en avantage numérique26.26%
86.76%Pourcentage en désavantage numérique79.66%
Meneurs d'équipe
Nico DawsVictoires
Nico Daws
11
Felix SandstromPourcentage d’arrêts
Felix Sandstrom
0.922

Statistiques d’équipe
Buts pour
77
4.05 GFG
Tirs pour
696
36.63 Avg
Pourcentage en avantage numérique
23.8%
15 GF
Début de zone offensive
41.3%
Buts contre
69
3.63 GAA
Tirs contre
666
35.05 Avg
Pourcentage en désavantage numérique
86.8%
9 GA
Début de la zone défensive
40.1%
Information d’équipe

Directeur généralCharles Levesque / Hugo Lussier-Fortin
EntraîneurJeff Halpern
DivisionCentral Division
ConférenceWestern Conference
CapitaineAndrew Poturalski
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 80
Espoirs35


Historique d'équipe

Saison actuelle11-8
Historique141-84-18 (0.580%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)12-12
Stanley Cup0


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
1Nic Petan0XXX100.00553879696488826872676661656870075650282995,000$
2Miles Wood (R)44X100.00704271737980746757656658677169075650283950,000$
3Joel L'Esperance0XX100.00744182648395856369626461646870075650283850,000$
4Kole Lind (R)0X100.00634063667585866764656661646567075640252975,000$
5Andrew Poturalski (C)0XXX100.00573686676990816673685859626971075640291925,000$
6Austin Wagner0XX100.00844161697684766359626559646667075640262995,000$
7Aatu Raty (R)0X100.00683891657880726377596064666163075630213950,000$
8Marco Rossi (R)23X100.00573875706888856875665960666364075630222950,000$
9Adam Klapka0X100.00905766599981705660575863556365075620233950,000$
10Bokondji Imama (R)0X100.00788550618269815957586061566769075620271995,000$
11Lauri Pajuniemi0X100.00653888627484826063596158626466075620242995,000$
12Glenn Gawdin (R)0XX100.00664071597688835767585965606668075610261964,700$
13Darren Raddysh (R)0X100.00684080667786856530675962516769075640273975,000$
14Lucas Carlsson (R)0X100.00633882667289816530686261526668075640262995,000$
15Michael Kesselring (R)0X100.00734075628492836130685867496365075640232750,000$
16Cale Fleury (R)0X100.00793684647883745930565060476465075610252750,000$
17Mattias Norlinder (R)0X100.00613791657577745730635256476365075610232950,000$
18Zachary Hayes (R)0X100.00854072568874785530525357466466075600242995,000$
Rayé
1Pierrick Dube0X100.00553878646595676366616457636264075610223975,000$
2Riley Damiani (R)0X100.00573681646776826375596058616465075610234925,000$
3Chase Wouters (R)0XX100.00624072577169845664585557566368075590232950,000$
4Raivis Ansons0X100.00673980537669675253545455536163075570213975,000$
5Declan Carlile0X100.00703983567964745430575556476365075590232850,000$
6Otto Leskinen (R)0X100.00614073567073635530595354466668075580263950,000$
7Peetro Seppala0X100.00704077547963725330555156456365075580233950,000$
MOYENNE D’ÉQUIPE100.0068417663768178615361595957656707562
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
1Nico Daws (R)100.0076777487757476757476756369075660232950,000$
2Felix Sandstrom (R)100.0074797779737274737274736675075650262995,000$
Rayé
1Oskari Salminen100.0071676890706971706971706471075630243850,000$
2Vadim Zherenko100.0071626376706971706971706267075620223975,000$
MOYENNE D’ÉQUIPE100.007371718372717372717372647107564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Halpern69717660706579USA473700,000$


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
1Nic PetanWild (MIN)C/LW/RW191415291140104086285616.28%348125.3625715550002710252.62%34400011.2000000233
2Joel L'EsperanceWild (MIN)C/RW19111122780374254214720.37%543422.872355560000562047.41%36700001.0100000211
3Miles WoodWild (MIN)LW1961319610045407824597.69%639820.9533620530002501047.73%4400000.9500000110
4Lucas CarlssonWild (MIN)D19314171014031213416328.82%2948025.271231757000056100.00%000000.7100000002
5Darren RaddyshWild (MIN)D162141631803522299216.90%3339124.490441449000034010.00%000000.8200000220
6Austin WagnerWild (MIN)LW/RW1961016-4120562760135210.00%531016.3411210280001142038.89%3600001.0300000110
7Kole LindWild (MIN)RW188513-700293458175213.79%633618.670225270001163042.86%2800000.7700000011
8Lauri PajuniemiWild (MIN)RW197613220111637102018.92%124312.8400000000000064.29%1400001.0700000101
9Cale FleuryWild (MIN)D1911112412030162113124.76%2340721.441341350000053000.00%000000.5900000000
10Andrew PoturalskiWild (MIN)C/LW/RW1821012-9204574816404.17%333818.831235480000130152.54%39400000.7100000000
11Aatu RatyWild (MIN)C19651110083147153112.77%625513.44000723000010049.35%31000000.8600000001
12Mattias NorlinderWild (MIN)D191101150071193711.11%2631916.80011219000030000.00%000000.6900000000
13Michael KesselringWild (MIN)D14459-98034153091413.33%2431822.732131234000040110.00%000000.5700000010
14Bokondji ImamaWild (MIN)LW1936902154514387277.89%219710.4200000000000053.33%1500000.9100100010
15Marco RossiWild (MIN)C19257000527329226.25%21789.412351429000061053.81%21000000.7800000000
16Adam KlapkaWild (MIN)RW19134-120258155146.67%01105.8000000000000025.00%400000.7300000010
17Zachary HayesWild (MIN)D18022-53605175540.00%1625914.4300004000017000.00%000000.1500000000
18Pierrick DubeWild (MIN)RW5011000013020.00%0204.0500000000000066.67%300000.9900000000
19Glenn GawdinWild (MIN)C/RW12000-120039180.00%2463.8400000000020020.00%500000.0000000000
20Otto LeskinenWild (MIN)D1000-100200000.00%01414.880000000000000.00%000000.0000000000
21Riley DamianiWild (MIN)C11000-100012000.00%0131.2000000000000058.82%1700000.0000000000
22Declan CarlileWild (MIN)D5000-220501320.00%37114.330000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne346771462239153547043369622452211.06%195562816.27153045139537000646711550.59%179100010.79001009129
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)1911620.8943.68106020656150000.0000190101
2Felix SandstromWild (MIN)30000.9222.6790004510000.0000019000
Statistiques d’équipe totales ou en moyenne2211620.8963.60115020696660000.00001919101


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)C2111/14/2002Yes190 Lbs6 ft2NoNoNo3Pro & Farm950,000$41,304$550,000$23,913$0$0$No950,000$950,000$Lien / Lien NHL
Adam KlapkaWild (MIN)RW239/14/2000No235 Lbs6 ft8NoNoNo3Pro & Farm950,000$41,304$999,999$43,478$0$0$No950,000$950,000$Lien / Lien NHL
Andrew PoturalskiWild (MIN)C/LW/RW291/14/1994No183 Lbs5 ft10NoNoNo1Pro & Farm925,000$40,217$925,000$40,217$0$0$NoLien / Lien NHL
Austin WagnerWild (MIN)LW/RW266/23/1997No195 Lbs6 ft1NoNoNo2Pro & Farm995,000$43,261$995,000$43,261$0$0$No995,000$Lien / Lien NHL
Bokondji ImamaWild (MIN)LW278/3/1996Yes221 Lbs6 ft1NoNoNo1Pro & Farm995,000$43,261$995,000$43,261$0$0$NoLien / Lien NHL
Cale FleuryWild (MIN)D2511/19/1998Yes204 Lbs6 ft1NoNoNo2Pro & Farm750,000$32,609$750,000$32,609$0$0$No750,000$Lien / Lien NHL
Chase WoutersWild (MIN)C/LW232/8/2000Yes182 Lbs6 ft0NoNoNo2Pro & Farm950,000$41,304$950,000$41,304$0$0$No950,000$Lien / Lien NHL
Darren RaddyshWild (MIN)D272/28/1996Yes200 Lbs6 ft1NoNoNo3Pro & Farm975,000$42,391$975,000$42,391$0$0$No975,000$975,000$Lien / Lien NHL
Declan CarlileWild (MIN)D235/18/2000No192 Lbs6 ft2NoNoNo2Pro & Farm850,000$36,957$850,000$36,957$0$0$No850,000$Lien / Lien NHL
Felix SandstromWild (MIN)G261/12/1997Yes191 Lbs6 ft2NoNoNo2Pro & Farm995,000$43,261$995,000$43,261$0$0$No995,000$Lien / Lien NHL
Glenn GawdinWild (MIN)C/RW263/25/1997Yes191 Lbs6 ft1NoNoNo1Pro & Farm964,700$41,943$964,700$41,943$0$0$NoLien / Lien NHL
Joel L'EsperanceWild (MIN)C/RW288/18/1995No215 Lbs6 ft2NoNoNo3Pro & Farm850,000$36,957$850,000$36,957$0$0$No850,000$850,000$Lien / Lien NHL
Kole LindWild (MIN)RW2510/16/1998Yes178 Lbs6 ft1NoNoNo2Pro & Farm975,000$42,391$975,000$42,391$0$0$No975,000$Lien / Lien NHL
Lauri PajuniemiWild (MIN)RW249/12/1999No196 Lbs6 ft0NoNoNo2Pro & Farm995,000$43,261$995,000$43,261$0$0$No995,000$Lien / Lien NHL
Lucas CarlssonWild (MIN)D267/5/1997Yes189 Lbs6 ft0NoNoNo2Pro & Farm995,000$43,261$995,000$43,261$0$0$No995,000$Lien / Lien NHL
Marco RossiWild (MIN)C229/23/2001Yes182 Lbs5 ft9NoNoNo2Pro & Farm950,000$41,304$950,000$41,304$0$0$No950,000$Lien / Lien NHL
Mattias NorlinderWild (MIN)D234/12/2000Yes185 Lbs6 ft0NoNoNo2Pro & Farm950,000$41,304$950,000$41,304$0$0$No950,000$Lien / Lien NHL
Michael KesselringWild (MIN)D231/13/2000Yes190 Lbs6 ft4NoNoNo2Pro & Farm750,000$32,609$750,000$32,609$0$0$No750,000$Lien / Lien NHL
Miles WoodWild (MIN)LW289/13/1995Yes195 Lbs6 ft2NoNoNo3Pro & Farm950,000$41,304$550,000$23,913$0$0$No950,000$950,000$Lien / Lien NHL
Nic PetanWild (MIN)C/LW/RW283/22/1995No175 Lbs5 ft9NoNoNo2Pro & Farm995,000$43,261$995,000$43,261$0$0$No995,000$Lien / Lien NHL
Nico DawsWild (MIN)G2312/22/2000Yes205 Lbs6 ft4NoNoNo2Pro & Farm950,000$41,304$950,000$41,304$0$0$No950,000$Lien / Lien NHL
Oskari SalminenWild (MIN)G249/22/1999No220 Lbs6 ft4NoNoNo3Pro & Farm850,000$36,957$850,000$36,957$0$0$No850,000$850,000$Lien / Lien NHL
Otto LeskinenWild (MIN)D262/6/1997Yes187 Lbs5 ft11NoNoNo3Pro & Farm950,000$41,304$550,000$23,913$0$0$No950,000$950,000$Lien NHL
Peetro SeppalaWild (MIN)D238/17/2000No192 Lbs6 ft2NoNoNo3Pro & Farm950,000$41,304$950,000$41,304$0$0$No950,000$950,000$Lien / Lien NHL
Pierrick DubeWild (MIN)RW221/7/2001No172 Lbs5 ft9NoNoNo3Pro & Farm975,000$42,391$975,000$42,391$0$0$No975,000$975,000$Lien / Lien NHL
Raivis AnsonsWild (MIN)LW211/29/2002No191 Lbs6 ft1NoNoNo3Pro & Farm975,000$42,391$975,000$42,391$0$0$No975,000$975,000$Lien / Lien NHL
Riley DamianiWild (MIN)C233/20/2000Yes170 Lbs5 ft10NoNoNo4Pro & Farm925,000$40,217$925,000$40,217$0$0$No775,000$775,000$775,000$Lien / Lien NHL
Vadim ZherenkoWild (MIN)G223/15/2001No176 Lbs6 ft2NoNoNo3Pro & Farm975,000$42,391$975,000$42,391$0$0$No975,000$975,000$Lien / Lien NHL
Zachary HayesWild (MIN)D244/24/1999Yes219 Lbs6 ft3NoNoNo2Pro & Farm995,000$43,261$995,000$43,261$0$0$No995,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2924.52194 Lbs6 ft12.34939,817$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nic PetanJoel L'EsperanceKole Lind40122
2Miles WoodAndrew PoturalskiAustin Wagner30122
3Bokondji ImamaAatu RatyLauri Pajuniemi20122
4Joel L'EsperanceMarco RossiAdam Klapka10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darren RaddyshMichael Kesselring40122
2Lucas CarlssonCale Fleury30122
3Mattias NorlinderZachary Hayes20122
4Darren RaddyshMichael Kesselring10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nic PetanJoel L'EsperanceKole Lind60122
2Miles WoodAndrew PoturalskiAustin Wagner40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darren RaddyshMichael Kesselring60122
2Lucas CarlssonCale Fleury40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joel L'EsperanceNic Petan60122
2Miles WoodKole Lind40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darren RaddyshMichael Kesselring60122
2Lucas CarlssonCale Fleury40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joel L'Esperance60122Darren RaddyshMichael Kesselring60122
2Nic Petan40122Lucas CarlssonCale Fleury40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joel L'EsperanceNic Petan60122
2Miles WoodKole Lind40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darren RaddyshMichael Kesselring60122
2Lucas CarlssonCale Fleury40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nic PetanJoel L'EsperanceKole LindDarren RaddyshMichael Kesselring
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nic PetanJoel L'EsperanceKole LindDarren RaddyshMichael Kesselring
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Glenn Gawdin, Aatu Raty, Marco RossiGlenn Gawdin, Aatu RatyMarco Rossi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mattias Norlinder, Zachary Hayes, Lucas CarlssonMattias NorlinderZachary Hayes, Lucas Carlsson
Tirs de pénalité
Joel L'Esperance, Nic Petan, Miles Wood, Kole Lind, Austin Wagner
Gardien
#1 : Nico Daws, #2 : Felix Sandstrom
Lignes d’attaque personnalisées en prolongation
Joel L'Esperance, Nic Petan, Miles Wood, Kole Lind, Austin Wagner, Andrew Poturalski, Andrew Poturalski, Aatu Raty, Marco Rossi, Bokondji Imama, Lauri Pajuniemi
Lignes de défense personnalisées en prolongation
Darren Raddysh, Michael Kesselring, Lucas Carlsson, Cale Fleury, Mattias Norlinder


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
1Condors734000002530-5312000001012-2422000001518-360.42925487300272919223123822222313255906817421523.81%31680.65%038173951.56%35971949.93%16633349.85%466327448135238119
2Reign6420000024168321000001165321000001310380.66724467000272919222523822222313181444313723626.09%18194.44%038173951.56%35971949.93%16633349.85%466327448135238119
3Stars64200000282353210000012111321000001612480.66728528000272919224023822222313230614415919421.05%19289.47%038173951.56%35971949.93%16633349.85%466327448135238119
Total191180000077698954000003329410640000044404220.5797714622300272919269623822222313666195155470631523.81%68986.76%038173951.56%35971949.93%16633349.85%466327448135238119
_Since Last GM Reset191180000077698954000003329410640000044404220.5797714622300272919269623822222313666195155470631523.81%68986.76%038173951.56%35971949.93%16633349.85%466327448135238119
_Vs Conference191180000077698954000003329410640000044404220.5797714622300272919269623822222313666195155470631523.81%68986.76%038173951.56%35971949.93%16633349.85%466327448135238119
_Vs Division60000000282353000000012111300000001612400.00028528000272919224023822222313230614415919421.05%19289.47%038173951.56%35971949.93%16633349.85%466327448135238119

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1922OTL17714622369666619515547000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1911800007769
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
95400003329
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
106400004440
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
631523.81%68986.76%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
238222223132729192
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
38173951.56%35971949.93%16633349.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
466327448135238119


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
1 - 2024-04-188Reign2Wild1BLXSommaire du match
3 - 2024-04-2016Reign1Wild5BWSommaire du match
5 - 2024-04-2224Wild2Reign5ALSommaire du match
7 - 2024-04-2432Wild6Reign2AWSommaire du match
9 - 2024-04-2640Reign3Wild5BWSommaire du match
11 - 2024-04-2848Wild5Reign3AWSommaire du match
15 - 2024-05-0259Wild4Stars6ALSommaire du match
16 - 2024-05-0363Wild6Stars4AWSommaire du match
18 - 2024-05-0567Stars2Wild3BWSommaire du match
20 - 2024-05-0771Stars5Wild4BLSommaire du match
22 - 2024-05-0975Wild6Stars2AWSommaire du match
24 - 2024-05-1179Stars4Wild5BWXSommaire du match
27 - 2024-05-1486Wild5Condors4AWSommaire du match
29 - 2024-05-1688Wild3Condors7ALSommaire du match
31 - 2024-05-1890Condors3Wild2BLSommaire du match
33 - 2024-05-2092Condors5Wild3BLSommaire du match
35 - 2024-05-2294Wild4Condors3AWSommaire du match
37 - 2024-05-2496Condors4Wild5BWXSommaire du match
39 - 2024-05-2698Wild3Condors4ALXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance18,0009,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 3000 - 100.00% 81,250$731,250$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,725,470$ 2,610,470$ 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$ 2 0$ 0$




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
1Kole Lind23589109198328139632882610.77%55415717.6919335216500089347.74%10.9502
2Andrew Poturalski1775311516854198641051810.23%14287316.241024346900026255.98%31.1700
3Joel L'Esperance2287282154410842836170110.27%59388017.0215284313401176250.99%30.7902
4Nic Petan159599014926221033186259.44%42325120.45181836123000910451.68%20.9236
5Marco Rossi1366182143192817145351311.89%37270919.9214193379000010555.12%01.0600

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
1Stuart Skinner1367443130.9023.21777726541642350220.70010
2Nico Daws67352050.8953.80354012122421380220.81316
3Felix Sandstrom56291530.9103.0028620214315940201.0005
4Matiss Kivlenieks71000.9152.53190008940000.0000
5Mat Robson10000.9382.7344002320000.0000

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
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
Total Saison régulière246121840141764980848132123604008103248742463123614406732493424693039801778275858335328297239474312931143115148844524341626583578319224.52%70216276.92%35172947754.57%4753881053.95%2188410553.30%616643765608173331131577
Séries éliminatoires
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 éliminatoires24121200000888621165000003836213670000050500248816425210323420284528927226222869256201603751722.67%891484.27%045490550.17%46693749.73%20041348.43%578401587177308152

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
1Nic Petan24161733134134710415.38%359324.732571800031252.68%11.1100
2Joel L'Esperance2411132481053586816.18%856423.53235700002046.55%00.8500
3Lucas Carlsson244172112143532429.52%4061425.61123170001100.00%00.6800
4Miles Wood19613196104540787.69%639820.953362000021047.73%00.9500
5Austin Wagner2471118-2126835759.33%641217.211121200022042.59%00.8700

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
1Nico Daws1911620.8943.68106020656150000.0000
2Stuart Skinner51310.9213.0032020162020010.0000
3Felix Sandstrom30000.9222.6790004510000.0000