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Connexion

Wild
GP: 14 | W: 10 | L: 4
GF: 34 | GA: 21 | PP%: 11.25% | PK%: 92.54%
DG: David | Morale : 50 | Moyenne d’équipe : 62

Centre de jeu
Wranglers
15-10-0, 30pts
3
FINAL
2 Wild
10-4-0, 20pts
Team Stats
W1SéquenceOTL2
8-4-0Fiche domicile5-2-0
7-6-0Fiche domicile5-2-0
6-3-1Derniers 10 matchs6-1-3
2.48Buts par match 2.43
2.16Buts contre par match 1.50
13.55%Pourcentage en avantage numérique11.25%
93.04%Pourcentage en désavantage numérique92.54%
Wild
10-4-0, 20pts
2
FINAL
3 Wranglers
15-10-0, 30pts
Team Stats
OTL2SéquenceW1
5-2-0Fiche domicile8-4-0
5-2-0Fiche domicile7-6-0
6-1-3Derniers 10 matchs6-3-1
2.43Buts par match 2.48
1.50Buts contre par match 2.16
11.25%Pourcentage en avantage numérique13.55%
92.54%Pourcentage en désavantage numérique93.04%
Meneurs d'équipe
Travis BoydButs
Travis Boyd
6
Passes
Egor Sokolov
8
Andrew PoturalskiPoints
Andrew Poturalski
12
Plus/Moins
Mike Sgarbossa
7
Victoires
Matthew Murray
10
Pourcentage d’arrêts
Matthew Murray
0.909

Statistiques d’équipe
Buts pour
34
2.43 GFG
Tirs pour
275
19.64 Avg
Pourcentage en avantage numérique
11.3%
9 GF
Début de zone offensive
40.8%
Buts contre
21
1.50 GAA
Tirs contre
232
16.57 Avg
Pourcentage en désavantage numérique
92.5%%
5 GA
Début de la zone défensive
38.7%
Informations de l'équipe

Directeur généralDavid
EntraîneurLane Lambert
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,994
Billets de saison0


Informations de la formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 51
Espoirs25


Historique d'équipe

Saison actuelle10-4
Historique66-11-8 (0.776%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)10 - 4 (0.714%)
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
1Travis BoydXX100.007670897070788267806264716166676950660321950,000$
2Andrew PoturalskiX100.007166837266777971806871646744447050660321950,000$
3Justin KirklandXXX100.008676847071544762657459778046466750640293875,000$
4Ryan Suzuki (R)X100.007772876772818664806757665444446550640241863,333$
5Egor SokolovXX100.008480926880818761505661685844446650630251850,000$
6Seth GriffithXX100.007165856865778066506861635844446650630331775,000$
7Michael SgarbossaXX100.007265877365595866806758665555556350620332775,000$
8Alex BelzileXX100.006774526874788264506460615744456350620342950,000$
9Sam Morton (R)X100.007568916468828762785960645744446450620261775,000$
10Mike SgarbossaX100.007368846768616164806956645344446250610331950,000$
11T.J. TynanX100.005957627357747764806856575346466250610342950,000$
12Jonathan GrudenX100.007070696470596154684756605344445750560261775,000$
13Conor TimminsX100.0071448673797085602553488025606162506802741,100,000$
14Ian MitchellX100.006141958070677866254647722557576050650272950,000$
15Ben HuttonX100.007344997477613959255347692572735950630331900,000$
16Guillaume BriseboisX100.007367877367616644253340593846465150570283975,000$
Rayé
1Curtis HallX100.008479956379373645563846644444445250520261925,000$
MOYENNE D’ÉQUIPE100.00736584707068706159585666515050625062
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
1Matthew Murray100.00644050747066697273723044446550640281800,000$
2Ken Appleby100.0056405085576271697272304444625062N0313800,000$
Rayé
1Troy Grosenick100.00594759736466586468663044446150600361950,000$
MOYENNE D’ÉQUIPE100.0060425377646566687170304444635062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lane Lambert85868387908456CAN601925,000$


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
1Andrew PoturalskiWild (MIN)C145712620124224113420.83%232022.8931411640111603168.28%22700000.7500000212
2Egor SokolovWild (MIN)LW/RW144812522108172551316.00%124417.50134859000032170.00%1000000.9800011111
3Alex BelzileWild (MIN)C/RW143811512015142091715.00%424317.36044561000001072.73%1100000.9100000210
4Travis BoydWild (MIN)C/RW146410311510303462817.65%533323.800227601013590267.88%35800000.6000001301
5Ian MitchellWild (MIN)D14358012017132151914.29%1232223.062241866000049000%000000.5000000010
6Seth GriffithWild (MIN)C/RW1416724011192711243.70%023917.10123765000040050.00%1600000.5800000001
7Ben HuttonWild (MIN)D1415631201113134107.69%628820.59101957000050000%000000.4200000000
8Justin KirklandWild (MIN)C/LW/RW1115621602018123158.33%119818.030112490000310075.00%800000.6000000010
9Ryan SuzukiWild (MIN)C143361161010283021210.00%122315.97000170000401062.69%19300000.5400002012
10Michael SgarbossaWild (MIN)C/RW1431418011202091915.00%322215.911012180000321062.96%2700000.3600000001
11Guillaume BriseboisWild (MIN)D1404421202142250%528520.41022154000050000%000000.2800000000
12Sam MortonWild (MIN)LW1412316051517895.88%321615.480001130000170066.67%900000.2800000100
13Mike SgarbossaWild (MIN)C141237160231020250.00%519513.9300014000001050.00%200000.3100000100
14Conor TimminsWild (MIN)D110220120201113190%325923.57000954000043000%000000.1500000000
15T.J. TynanWild (MIN)C141123609750920.00%114410.3000000000000143.75%4800000.2800000100
16Jonathan GrudenWild (MIN)LW14101-1204564516.67%0654.6800000000001040.00%500000.3100000010
17Curtis HallWild (MIN)C130113215634120%31168.960003160000120060.00%2000000.1700000000
Statistiques d’équipe totales ou en moyenne23134649843190302132692758123212.36%55391916.979172685655112445710564.99%93400000.50000141178
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
1Matthew MurrayWild (MIN)1410130.9091.48851032123200000140021
Statistiques d’équipe totales ou en moyenne1410130.9091.4885103212320000140021


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex BelzileWild (MIN)C/RW341991-08-31CANNo205 Lbs6 ft0NoNoFree AgentNoNo22024-10-17FalseFalsePro & Farm950,000$19,388$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Andrew PoturalskiWild (MIN)C321994-01-14USANo187 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm950,000$19,388$0$0$No---------------------------Lien / Lien NHL
Ben HuttonWild (MIN)D331993-04-20CANNo209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$18,367$0$0$No---------------------------Lien / Lien NHL
Conor TimminsWild (MIN)D271998-09-18CANNo213 Lbs6 ft3NoNoFree Agent2024-10-24NoNo42025-08-15FalseFalsePro & Farm1,100,000$22,449$0$0$No1,100,000$1,100,000$1,100,000$------1,100,000$1,100,000$1,100,000$------NoNoNo------Lien / Lien NHL
Curtis HallWild (MIN)C262000-04-26USANo212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$18,878$0$0$No---------------------------Lien
Egor SokolovWild (MIN)LW/RW252000-06-07RUSNo217 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm850,000$17,347$0$0$No---------------------------Lien
Guillaume BriseboisWild (MIN)D281997-07-21CANNo175 Lbs6 ft2NoNoFree Agent2024-02-12NoNo32024-08-08FalseFalsePro & Farm975,000$19,898$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien / Lien NHL
Ian MitchellWild (MIN)D271999-01-18CANNo192 Lbs6 ft0NoNoFree AgentNoNo22024-08-16FalseFalsePro & Farm950,000$19,388$0$0$No950,000$--------950,000$--------No--------Lien
Jonathan GrudenWild (MIN)LW262000-05-04USANo192 Lbs6 ft0NoNoN/ANoNo12024-06-30FalseFalsePro & Farm775,000$15,816$0$0$No---------------------------Lien
Justin KirklandWild (MIN)C/LW/RW291996-08-02CANNo183 Lbs6 ft3NoNoTrade2025-10-13NoNo32025-08-21FalseFalsePro & Farm875,000$17,857$0$0$No875,000$875,000$-------875,000$875,000$-------YesYes-------Lien / Lien NHL
Ken ApplebyWild (MIN)G311995-04-10ONTNo210 Lbs6 ft4YesNoFree AgentNoNo32025-08-21FalseFalsePro & Farm800,000$16,327$0$0$No800,000$800,000$-------800,000$800,000$-------YesYes-------Lien
Matthew MurrayWild (MIN)G281998-02-02ABNo194 Lbs6 ft1NoNoTrade2025-10-13NoNo1FalseFalsePro & Farm800,000$16,327$0$0$No---------------------------Lien
Michael SgarbossaWild (MIN)C/RW331992-07-25CANNo179 Lbs6 ft0NoNoAssign ManuallyNoNo22025-06-14FalseFalsePro & Farm775,000$15,816$0$0$No775,000$--------775,000$--------No--------Lien
Mike SgarbossaWild (MIN)C331992-07-25ONTNo185 Lbs6 ft0NoNoAssign ManuallyNoNo12025-08-28FalseFalsePro & Farm950,000$19,388$0$0$No---------------------------Lien
Ryan SuzukiWild (MIN)C242001-05-28CANYes196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm863,333$17,619$0$0$No---------------------------Lien
Sam MortonWild (MIN)LW261999-07-28USAYes185 Lbs6 ft0NoNoAssign ManuallyNoNo12025-08-19FalseFalsePro & Farm775,000$15,816$0$0$No---------------------------Lien
Seth GriffithWild (MIN)C/RW331993-01-04CANNo185 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm775,000$15,816$0$0$No---------------------------Lien / Lien NHL
T.J. TynanWild (MIN)C341992-02-25USANo160 Lbs5 ft8NoNoFree AgentNoNo22024-10-17FalseFalsePro & Farm950,000$19,388$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Travis BoydWild (MIN)C/RW321993-09-14USANo190 Lbs6 ft0NoNoFree AgentNoNo12024-08-08FalseFalsePro & Farm950,000$19,388$0$0$No---------------------------Lien / Lien NHL
Troy GrosenickWild (MIN)G361989-08-27USANo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$19,388$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2029.85193 Lbs6 ft11.65891,917$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam MortonAndrew PoturalskiSeth Griffith40122
2Egor SokolovRyan SuzukiAlex Belzile30122
3Justin KirklandTravis BoydMichael Sgarbossa20122
4Jonathan GrudenT.J. TynanTravis Boyd10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Conor TimminsIan Mitchell40122
2Ben HuttonMike Sgarbossa30122
3Guillaume Brisebois20122
4Conor TimminsIan Mitchell10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin KirklandAndrew PoturalskiTravis Boyd60122
2Seth GriffithRyan SuzukiMichael Sgarbossa40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Conor TimminsIan Mitchell60122
2Ben HuttonMike Sgarbossa40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Travis BoydJustin Kirkland60122
2Andrew PoturalskiMichael Sgarbossa40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Conor TimminsIan Mitchell60122
2Ben HuttonGuillaume Brisebois40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Travis Boyd60122Conor TimminsIan Mitchell60122
2Andrew Poturalski40122Ben HuttonGuillaume Brisebois40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Travis BoydAndrew Poturalski60122
2Ryan SuzukiJustin Kirkland40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Conor TimminsIan Mitchell60122
2Ben HuttonGuillaume Brisebois40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin KirklandAndrew PoturalskiTravis BoydConor TimminsIan Mitchell
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin KirklandTravis BoydSeth GriffithConor TimminsIan Mitchell
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Travis Boyd, Andrew Poturalski, Seth GriffithT.J. Tynan, Sam MortonMichael Sgarbossa
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ben Hutton, Guillaume Brisebois, Conor TimminsBen HuttonGuillaume Brisebois, Conor Timmins
Tirs de pénalité
Travis Boyd, Andrew Poturalski, Ryan Suzuki, Justin Kirkland, Seth Griffith
Gardien
#1 : Matthew Murray, #2 : Ken Appleby
Lignes d’attaque personnalisées en prolongation
Travis Boyd, Andrew Poturalski, Ryan Suzuki, Justin Kirkland, Seth Griffith, Egor Sokolov, Alex Belzile, Sam Morton, Michael Sgarbossa, T.J. Tynan
Lignes de défense personnalisées en prolongation
Conor Timmins, Ian Mitchell, Ben Hutton, Guillaume Brisebois,


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
1Barracuda440000001138220000007162200000042281.000112031021113919291948464613796622418.18%29196.55%125238265.97%23636265.19%11919261.98%36425731010217690
2Reign440000001046220000005142200000053281.000101929011113917491948466617355126415.38%12191.67%025238265.97%23636265.19%11919261.98%36425731010217690
3Wranglers624000001314-1312000007703120000067-140.3331325380011139110991948461202576973213.13%26388.46%025238265.97%23636265.19%11919261.98%36425731010217690
Total141040000034211375200000199107520000015123200.7143464980311139127591948462325519021480911.25%67592.54%125238265.97%23636265.19%11919261.98%36425731010217690
_Since Last GM Reset141040000034211375200000199107520000015123200.7143464980311139127591948462325519021480911.25%67592.54%125238265.97%23636265.19%11919261.98%36425731010217690
_Vs Conference141040000034211375200000199107520000015123200.7143464980311139127591948462325519021480911.25%67592.54%125238265.97%23636265.19%11919261.98%36425731010217690

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1420OTL23464982752325519021403
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1410400003421
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
7520000199
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
75200001512
Derniers 10 matchs
WLOTWOTL SOWSOL
511300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
80911.25%67592.54%1
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
9194846111391
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
25238265.97%23636265.19%11919261.98%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
36425731010217690


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
25Barracuda0Wild3WSommaire du match
413Barracuda1Wild4WSommaire du match
621Wild1Barracuda0WSommaire du match
829Wild3Barracuda2WSommaire du match
1659Reign1Wild2WSommaire du match
1863Reign0Wild3WSommaire du match
2067Wild3Reign2WXSommaire du match
2271Wild2Reign1WSommaire du match
3086Wranglers1Wild3WSommaire du match
3288Wranglers3Wild2LXSommaire du match
3490Wild3Wranglers2WSommaire du match
3692Wild1Wranglers2LSommaire du match
3894Wranglers3Wild2LXSommaire du match
4096Wild2Wranglers3LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets550
Assistance13,9567,000
Assistance PCT99.69%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 2994 - 99.79% 109,654$767,580$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,783,833$ 1,783,833$ 925,000$0$
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
1Travis Boyd825780137904710123133716.91%35194123.6812213354268169267.78%31.4125
2Egor Sokolov8245691149010715710624418.44%17166320.2910182849011410146.53%01.3712
3Ryan Suzuki823668104667111317723715.19%19181722.174242833426108168.16%11.1405
4Seth Griffith82386410275467013928413.38%15173621.18816245121346253.62%21.1724
5Alex Belzile82395594659713010421318.31%7138416.891012223300009457.61%11.3600

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
1Ken Appleby6049740.9061.613514215949980010.70010
2Troy Grosenick76000.8831.9140800131110000.5004
3Matthew Murray64200.8901.84359011110000000

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
20258259110522337913924041267040221877111641334012011926812413737968010591191471418410241978781678649136439999314893887820.10%4335088.45%121585229669.03%1213184565.75%827120568.63%251119021515499933521
Total Saison régulière8259110522337913924041267040221877111641334012011926812413737968010591191471418410241978781678649136439999314893887820.10%4335088.45%121585229669.03%1213184565.75%827120568.63%251119021515499933521
Séries éliminatoires
2025141040000034211375200000199107520000015123203464980311139127591948462325519021480911.25%67592.54%125238265.97%23636265.19%11919261.98%36425731010217690
Total Séries éliminatoires141040000034211375200000199107520000015123203464980311139127591948462325519021480911.25%67592.54%125238265.97%23636265.19%11919261.98%36425731010217690

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
1Andrew Poturalski1457126212422420.83%232022.893141101113168.28%00.7500
2Egor Sokolov1448125228172516.00%124417.50134800002170.00%00.9800
3Alex Belzile14381151215142015.00%424317.36044500001072.73%00.9100
4Travis Boyd14641031110303417.65%533323.80022710130267.88%00.6000
5Ian Mitchell1435801217132114.29%1232223.06224180000000%00.5000

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
1Matthew Murray1410130.9091.48851032123200000