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Connexion

Wild
GP: 82 | W: 50 | L: 27 | OTL: 5 | P: 105
GF: 244 | GA: 227 | PP%: 13.55% | PK%: 83.96%
DG: Eliane Champagne | Morale : 94 | Moyenne d’équipe : 72
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Centre de jeu
Flames
31-42-9, 71pts
6
FINAL
5 Wild
50-27-5, 105pts
Team Stats
W1SéquenceW1
16-24-1Fiche domicile30-9-2
15-18-8Fiche domicile20-18-3
4-5-1Derniers 10 matchs5-4-1
2.93Buts par match 2.98
3.51Buts contre par match 2.77
15.32%Pourcentage en avantage numérique13.55%
79.52%Pourcentage en désavantage numérique83.96%
Wild
50-27-5, 105pts
3
FINAL
2 Sabres
37-39-6, 80pts
Team Stats
W1SéquenceOTL1
30-9-2Fiche domicile17-22-2
20-18-3Fiche domicile20-17-4
5-4-1Derniers 10 matchs1-8-1
2.98Buts par match 3.01
2.77Buts contre par match 2.95
13.55%Pourcentage en avantage numérique20.26%
83.96%Pourcentage en désavantage numérique85.59%
Meneurs d'équipe
Buts
Jordan Eberle
38
Passes
Johan Larsson
48
Points
Travis Konecny
77
Plus/Moins
Noah Hanifin
21
Victoires
Jake Oettinger
43
Pourcentage d’arrêts
Jake Oettinger
0.917

Statistiques d’équipe
Buts pour
244
2.98 GFG
Tirs pour
2499
30.48 Avg
Pourcentage en avantage numérique
13.6%
29 GF
Début de zone offensive
38.4%
Buts contre
227
2.77 GAA
Tirs contre
2568
31.32 Avg
Pourcentage en désavantage numérique
84.0%%
43 GA
Début de la zone défensive
39.1%
Informations de l'équipe

Directeur généralEliane Champagne
EntraîneurTodd Richards
DivisionCentrale
ConférenceOuest
CapitaineJohan Larsson
Assistant #1Eliane Champagne
Assistant #2Jordan Eberle


Informations de l’aréna

Capacité3,000
Assistance2,984
Billets de saison2,100


Informations de la formation

Équipe Pro37
Équipe Mineure19
Limite contact 56 / 60
Espoirs5


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 Konecny (R)X100.0085417191658285824098987098727367827902732,750,000$
2Jordan Eberle (A)X100.0056317580728288885387889086818983827903332,750,000$
3Johan Larsson (C)X100.0079497559746681989992889293968946817903123,000,000$
4Sebastian AhoX100.0073438495718586857786897992788473797902632,900,000$
5Josh Anderson (R)X100.0096566673868687865079839182778472847803012,400,000$
6Mikael BacklundX100.0070407481758589789893798776859185867803522,750,000$
7Brett ConnollyX100.0086378767767894785890869492808461877803222,750,000$
8Phillip DanaultX100.0090488380808586689890829095828478827803154,000,000$
9Scott Laughton (R)X100.0099516975757779764092898899707381807702913,000,000$
10Anthony Cirelli (R)X100.0094548580757584668979779591706864807502612,500,000$
11Jimmy Vesey (R)X100.0084568275828387765078788684767967847503032,500,000$
12Nic Dowd (R)X100.0080507779778486757671768225778169817303331,950,000$
13Noah Hanifin (R)X100.0073407982848988794086819225828198827902722,000,000$
14Jaccob Slavin (R)X100.0068319083838288824077749825808178747903012,000,000$
15Mark PysykX100.0077458665767595984095959061847562827903222,850,000$
16Charlie McAvoyX100.0097448082848784784086748925777664817902611,750,000$
17Eliane Champagne (A)X100.0099428366917989704091949290558994827802331,000,000$
18Shea Theodore (R)X100.0074458073808986784089848425738169817602822,000,000$
19Mark Barberio (R)X100.0072537262776773983097968359867527717603432,250,000$
20Xavier Ouellet (R)X100.0072438367738281874083799462878155487603032,400,000$
Rayé
1Derek RyanX100.0075507882718388768577727825778070207203732,250,000$
2Ryan ReavesX100.0089787270847793725070657025698878206803731,250,000$
3Andrew Agozzino (R)X100.006941807064707169847063666582766420650331575,000$
4Nikita Scherbak (R)X100.004020866975466957635948735175627119580283575,000$
5Brandon McMillanX100.005715996574355256556844645891873820580341575,000$
6Nick Lappin (R)X100.003618867570385563565754675264632819570313575,000$
7Semyon Der-Arguchintsev (R)X100.005440727155616164606456562564505020571233850,000$
8Hunter Shinkaruk (R)X100.002918966671314358405251695570637220540292575,000$
9Tyler Gaudet (R)X100.002812996577365443744234815878695920530313575,000$
10Luke SchennX100.0086806475858695774076668525739080197603432,850,000$
11Ian McCoshen (R)X100.006129966280606563305666835179656719650282900,000$
12Alex GrantX100.005661896578607860406959665072721719630351575,000$
13Andrei Mironov (R)X100.004226936974396562306256775074654919610291600,000$
14Ryan Sproul (R)X100.004726916577428256305553715174655819610313575,000$
MOYENNE D’ÉQUIPE100.00704282737670797455777382607777655571
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
1Jake Oettinger (R)100.00909091929399999999959961779881900251925,000$
2Ilya Samsonov (R)100.008887899091989898998895798184818902733,750,000$
Rayé
1Brandon Halverson (R)100.00735884807987797979758174686020750282575,000$
MOYENNE D’ÉQUIPE100.0084788887889592929286927175816185
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Richards8578677064591USA5621,900,000$


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
1Travis KonecnyWild (MIN)LW7731467729420175104316941969.81%30150519.569817361810117644238.98%1188731111.0228211563
2Johan LarssonWild (MIN)C78234871-599251322002116913610.90%26144418.523151825177011073159.85%20652527010.9855113533
3Jordan EberleWild (MIN)LW7938296719241070922266314716.81%29124315.74235328112716711447.92%964620111.0800002459
4Sebastian AhoWild (MIN)LW7322274981759192233781509.44%27119216.33336111390000153241.18%1026119000.8211010621
5Mikael BacklundWild (MIN)C80202242124751251541765611211.36%34137317.17224171530000785260.79%10383523000.6100001252
6Scott LaughtonWild (MIN)RW8214264041403013691128559010.94%36139016.964101419191000001040.48%841724000.5839141313
7Josh AndersonWild (MIN)RW8218193717822015797163538311.04%29110013.430002130003403332.20%591518000.6700310242
8Phillip DanaultWild (MIN)C77122234153315122142107418311.21%22112314.5901112610161162155.13%7112314100.6113120144
9Brett ConnollyWild (MIN)RW7317163312210109107133408212.78%27141419.38303813310121431139.33%892022100.4716002223
10Mark PysykWild (MIN)D7742630-620701086534526.15%62140018.1822411201000042130%03043000.4300000001
11Jimmy VeseyWild (MIN)LW75101222-56020716312040758.33%1486811.580000250003364138.36%731615000.5101112213
12Anthony CirelliWild (MIN)C798122011715821329530618.42%2496812.260000601132362055.49%793924000.4104003121
13Nic DowdWild (MIN)RW828816-3240554511732516.84%176357.7500000000051071.43%211515000.5000000002
14Eliane ChampagneWild (MIN)D8201414-103115971096523170%84161819.7400041740111168000%01453000.1700030000
15Mark BarberioWild (MIN)D44410146281029433681211.11%2657813.14123799000011000%099000.4800110000
16Noah HanifinWild (MIN)D7711112212410621075226201.92%53116315.1100004000113500100.00%11837000.2101110010
17Jaccob SlavinWild (MIN)D791111214235431056523261.54%73129616.410001170006263000%01343000.1900001000
18Charlie McAvoyWild (MIN)D82111125362090844527262.22%45110513.49000013000087000%01725000.2200112000
19Shea TheodoreWild (MIN)D8201111-1291539835211160%62118214.420331141000134000%02129000.1900210000
20Xavier OuelletWild (MIN)D6009911403665348160%5285014.18000000004181000%0932000.2100000000
21Damon SeversonWildD50257516104345459184.44%4771114.2400006800000000%01726000.2000110001
22Derek RyanWild (MIN)C12112-3205991811.11%1685.7200001000060070.00%3001000.5800000000
23Alex GrantWild (MIN)D5000000000000%081.600000000003000%00000000000000
24Andrei MironovWild (MIN)D5000000000000%020.570000000001000%00000000000000
25Nikita ScherbakWild (MIN)RW3000000010000%041.590000100000000%00000000000000
26Brandon McMillanWild (MIN)C2000000000000%010.760000000000000%00000000000000
27Nick LappinWild (MIN)LW3000000020000%093.070000000005000%00000000000000
28Luke SchennWild (MIN)D6000-120210000%191.560000000000000%00100000000000
29Ryan ReavesWild (MIN)RW9000-120103010%2212.410000000000000%00000000000000
30Andrew AgozzinoWild (MIN)LW13000055503030%2544.16000000000200100.00%20100000100000
Statistiques d’équipe totales ou en moyenne162823539663110686326518472081249982114819.40%8252434914.962949781461803358441855412056.57%5282517552430.521338161918333638
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
1Jake OettingerWild (MIN)67432040.9172.554043811722084844210.8923766161264
2Ilya SamsonovWild (MIN)177710.8923.30945005248219001001666210
Statistiques d’équipe totales ou en moyenne84502750.9132.6949898122425661034223782821474


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
Alex GrantWild (MIN)D351989-01-20 11:11:13No210 Lbs6 ft4NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Andrei MironovWild (MIN)D291994-07-29 14:14:30Yes194 Lbs6 ft3NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------
Andrew AgozzinoWild (MIN)LW331991-01-03 04:38:16Yes187 Lbs5 ft10NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Anthony CirelliWild (MIN)C261997-07-15 13:38:49Yes189 Lbs6 ft0NoNoN/ANoNo1Pro & Farm2,500,000$0$0$No------------------
Brandon HalversonWild (MIN)G281996-03-29 13:44:02Yes209 Lbs6 ft4NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Brandon McMillanWild (MIN)C341990-03-22 05:11:13No198 Lbs5 ft11NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Brett ConnollyWild (MIN)RW321992-05-02 17:11:13No195 Lbs6 ft3NoNoN/ANoNo2Pro & Farm2,750,000$0$0$No2,750,000$--------No--------
Charlie McAvoyWild (MIN)D261997-12-21 04:22:34No209 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,750,000$0$0$No------------------
Derek RyanWild (MIN)C371986-12-29 13:03:29No185 Lbs5 ft10NoNoN/ANoNo3Pro & Farm2,250,000$0$0$No2,250,000$2,250,000$-------NoNo-------
Eliane ChampagneWild (MIN)D232000-10-01 11:11:13No234 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------
Hunter ShinkarukWild (MIN)C291994-10-13 08:27:39Yes185 Lbs5 ft10NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Ian McCoshenWild (MIN)D281995-08-05 05:30:04Yes217 Lbs6 ft3NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------
Ilya SamsonovWild (MIN)G271997-02-22 03:28:53Yes214 Lbs6 ft3NoNoN/ANoNo3Pro & Farm3,750,000$0$0$No3,750,000$3,750,000$-------NoNo-------
Jaccob SlavinWild (MIN)D301994-05-01 12:36:34Yes207 Lbs6 ft3NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------
Jake OettingerWild (MIN)G251998-12-18 14:31:28Yes220 Lbs6 ft5NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------
Jimmy VeseyWild (MIN)LW301993-05-26 03:37:16Yes202 Lbs6 ft3NoNoN/ANoNo3Pro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------NoNo-------
Johan LarssonWild (MIN)C311992-07-25 05:11:13No211 Lbs5 ft10NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Jordan EberleWild (MIN)LW331990-05-15 11:11:13No190 Lbs5 ft11NoNoN/ANoNo3Pro & Farm2,750,000$0$0$No2,750,000$2,750,000$-------NoNo-------
Josh AndersonWild (MIN)RW301994-05-07 17:11:13Yes218 Lbs6 ft3NoNoN/ANoNo1Pro & Farm2,400,000$0$0$No------------------
Luke SchennWild (MIN)D341989-08-02 11:11:13No225 Lbs6 ft2NoNoN/ANoNo3Pro & Farm2,850,000$0$0$No2,850,000$2,850,000$-------NoNo-------
Mark BarberioWild (MIN)D341990-03-23 17:11:13Yes207 Lbs6 ft1NoNoN/ANoNo3Pro & Farm2,250,000$0$0$No2,250,000$2,250,000$-------NoNo-------
Mark PysykWild (MIN)D321992-01-11 05:11:13No200 Lbs6 ft1NoNoN/ANoNo2Pro & Farm2,850,000$0$0$No2,850,000$--------No--------
Mikael BacklundWild (MIN)C351989-03-17 11:11:13No206 Lbs6 ft0NoNoN/ANoNo2Pro & Farm2,750,000$0$0$No2,750,000$--------No--------
Nic DowdWild (MIN)RW331990-05-27 13:20:12Yes193 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,950,000$0$0$No1,950,000$1,950,000$-------NoNo-------
Nick LappinWild (MIN)LW311992-11-01 03:57:53Yes175 Lbs6 ft1NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Nikita ScherbakWild (MIN)RW281995-12-30 09:41:17Yes192 Lbs6 ft2NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Noah HanifinWild (MIN)D271997-01-25 11:11:13Yes207 Lbs6 ft3NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------
Phillip DanaultWild (MIN)C311993-02-24 11:11:13No200 Lbs6 ft1NoNoN/ANoNo5Pro & Farm4,000,000$0$0$No4,000,000$4,000,000$4,000,000$4,000,000$-----NoNoNoNo-----
Ryan ReavesWild (MIN)RW371987-01-20 06:59:31No225 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------NoNo-------
Ryan SproulWild (MIN)D311993-01-13 09:04:01Yes205 Lbs6 ft4NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Scott LaughtonWild (MIN)RW291994-05-30 17:11:13Yes190 Lbs6 ft1NoNoN/ANoNo1Pro & Farm3,000,000$0$0$No------------------
Sebastian AhoWild (MIN)LW261997-07-26 03:43:13No176 Lbs6 ft0NoNoN/ANoNo3Pro & Farm2,900,000$0$0$No2,900,000$2,900,000$-------NoNo-------
Semyon Der-ArguchintsevWild (MIN)C232000-09-15 14:02:35Yes161 Lbs5 ft10NoNoN/ANoNo3Pro & Farm850,000$0$0$No850,000$850,000$-------NoNo-------
Shea TheodoreWild (MIN)D281995-08-03 23:11:13Yes197 Lbs6 ft2NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------
Travis KonecnyWild (MIN)LW271997-03-11 08:19:19Yes175 Lbs5 ft10NoNoN/ANoNo3Pro & Farm2,750,000$0$0$No2,750,000$2,750,000$-------NoNo-------
Tyler GaudetWild (MIN)C311993-04-04 11:11:13Yes206 Lbs6 ft3NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Xavier OuelletWild (MIN)D301993-07-29 11:11:13Yes195 Lbs6 ft1NoNoN/ANoNo3Pro & Farm2,400,000$0$0$No2,400,000$2,400,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3730.08200 Lbs6 ft12.271,839,189$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Travis KonecnyJohan LarssonBrett Connolly33113
2Sebastian AhoMikael BacklundScott Laughton32113
3Jordan EberlePhillip DanaultJosh Anderson25122
4Jimmy VeseyAnthony CirelliNic Dowd10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Eliane ChampagneMark Pysyk30122
2Xavier OuelletNoah Hanifin27122
3Charlie McAvoyShea Theodore23122
4Jaccob SlavinMark Barberio20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Travis KonecnyJohan LarssonScott Laughton60113
2Sebastian AhoMikael BacklundBrett Connolly40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark BarberioMark Pysyk60122
2Eliane ChampagneShea Theodore40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anthony CirelliJordan Eberle60122
2Phillip DanaultBrett Connolly40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaccob SlavinXavier Ouellet60122
2Charlie McAvoyEliane Champagne40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anthony Cirelli60122Jaccob SlavinXavier Ouellet60122
2Phillip Danault40122Charlie McAvoyEliane Champagne40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anthony CirelliJimmy Vesey60122
2Mikael BacklundJosh Anderson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Charlie McAvoyShea Theodore60122
2Xavier OuelletJaccob Slavin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Travis KonecnyJohan LarssonScott LaughtonMark PysykMark Barberio
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan EberleAnthony CirelliBrett ConnollyJaccob SlavinEliane Champagne
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jimmy Vesey, Josh Anderson, Sebastian AhoJordan Eberle, Travis KonecnyJimmy Vesey
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Barberio, Noah Hanifin, Shea TheodoreMark PysykCharlie McAvoy, Noah Hanifin
Tirs de pénalité
Travis Konecny, Brett Connolly, Scott Laughton, Johan Larsson, Phillip Danault
Gardien
#1 : Jake Oettinger, #2 : Ilya Samsonov
Lignes d’attaque personnalisées en prolongation
Johan Larsson, Mikael Backlund, Phillip Danault, Anthony Cirelli, Travis Konecny, Jordan Eberle, Jordan Eberle, Sebastian Aho, Scott Laughton, Josh Anderson, Brett Connolly
Lignes de défense personnalisées en prolongation
Eliane Champagne, Mark Pysyk, Noah Hanifin, Shea Theodore, Xavier Ouellet


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
1Avalanche5210200013112310020007342110000068-280.800132336017865852014485380980965143361071031815.56%31487.10%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
2Blackhawks52300000151412200000084430300000710-340.40015233800786585201348538098096514439919719210.53%28582.14%11146200857.07%1164204556.92%678117957.51%1844110417427321408708
3Blues5210010115150210000017703110010088060.600152338007865852014385380980965152467513221314.29%26292.31%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
4Bruins301010109902010100067-11000001032140.66791524107865852081853809809651062966310110.00%3166.67%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
5Canadiens30300000513-81010000013-220200000410-600.000591400786585209785380980965104251862300.00%440.00%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
6Canucks321000001275110000004222110000085340.66712203200786585208685380980965102334057100.00%15193.33%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
7Capitals412000101091311000107521010000034-140.50010162600786585201238538098096510838141008112.50%7185.71%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
8Devils310000201064200000207521100000031261.0001012220078658520898538098096510539883500.00%4175.00%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
9Ducks3200001012931100000021121000010108261.00012172900786585208985380980965872343771119.09%8275.00%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
10Flames30200100711-41000010056-12020000025-310.1677101700786585208585380980965934030755120.00%15380.00%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
11Flyers3110010068-2110000002112010010047-330.500610160078658520898538098096593401671600.00%8275.00%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
12Islanders321000008621010000014-32200000072540.667813210078658520898538098096599381959500.00%7357.14%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
13Kings31101000761211000005501000100021140.66771219007865852010885380980965882841669222.22%13192.31%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
14Maple Leafs320010001055210010007431100000031261.00010182800786585201028538098096588231571300.00%50100.00%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
15Oilers31200000815-71100000021120200000614-820.333815230078658520898538098096599194059900.00%10370.00%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
16Penguins42100010141223110001010911100000043160.7501422360078658520123853809809651357418768225.00%90100.00%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
17Predators512010101213-13020100058-32100001075260.60012193100786585201478538098096516949921312015.00%21385.71%11146200857.07%1164204556.92%678117957.51%1844110417427321408708
18Rangers3210000012102110000004222110000088040.667122032107865852099853809809651043714473266.67%2150.00%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
19Red Wings42100010181442200000012752010001067-160.75018304800786585201368538098096512439128810220.00%6266.67%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
20Sabres320010001064110000003212100100074361.000101727007865852010985380980965104181260200.00%60100.00%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
21Senateurs320000101046210000106241100000042261.00010142400786585209285380980965107311066300.00%50100.00%11146200857.07%1164204556.92%678117957.51%1844110417427321408708
22Sharks330000001284220000007431100000054161.0001222340078658520104853809809657534387711545.45%90100.00%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
23Stars51300100916-72110000035-230200100611-530.300916250078658520141853809809651394711212724520.83%26484.62%01146200857.07%1164204556.92%678117957.51%1844110417427321408708
Total82342707491244227174120905151121972441141802340123130-71050.6402443966402178658520249985380980965256882587118472142913.55%2684383.96%31146200857.07%1164204556.92%678117957.51%1844110417427321408708
_Since Last GM Reset82342707491244227174120905151121972441141802340123130-71050.6402443966402178658520249985380980965256882587118472142913.55%2684383.96%31146200857.07%1164204556.92%678117957.51%1844110417427321408708
_Vs Conference43171604321122125-320114031015546923612012206779-12500.5811222003220178658520127085380980965129139470910011482114.19%2022886.14%21146200857.07%1164204556.92%678117957.51%1844110417427321408708
_Vs Division25810032116469-5125303001302731337002103442-8270.540641041680178658520709853809809657472174775901021211.76%1321886.36%21146200857.07%1164204556.92%678117957.51%1844110417427321408708

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82105W124439664024992568825871184721
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8234277491244227
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41209515112197
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4114182340123130
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
2142913.55%2684383.96%3
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
8538098096578658520
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
1146200857.07%1164204556.92%678117957.51%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1844110417427321408708


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
314Wild1Stars2ALSommaire du match
420Avalanche1Wild2BWXR5Sommaire du match
636Penguins2Wild3BWSommaire du match
850Wild2Stars5ALSommaire du match
1057Wild2Blackhawks3ALSommaire du match
1369Capitals2Wild3BWXXSommaire du match
1578Wild1Blues2ALXSommaire du match
1788Predators4Wild1BLSommaire du match
1996Wild1Flames3ALR2Sommaire du match
20108Wild3Blackhawks4ALSommaire du match
23118Blackhawks1Wild3BWSommaire du match
25133Bruins4Wild2BLSommaire du match
28149Wild5Avalanche4AWR5Sommaire du match
30161Devils3Wild4BWXXSommaire du match
32170Wild2Flyers3ALXSommaire du match
34182Avalanche0Wild2BWR5Sommaire du match
38199Canadiens3Wild1BLSommaire du match
40211Wild3Devils1AWSommaire du match
43222Wild3Capitals4ALSommaire du match
44233Kings4Wild2BLR2Sommaire du match
48250Red Wings2Wild5BWSommaire du match
50265Wild5Sharks4AWR2Sommaire du match
52274Wild2Canadiens6ALSommaire du match
53280Avalanche2Wild3BWXR5Sommaire du match
56297Wild2Flyers4ALSommaire du match
57305Stars3Wild0BLSommaire du match
60318Maple Leafs3Wild5BWSommaire du match
62329Wild2Oilers6ALSommaire du match
64341Wild4Red Wings3AWXXSommaire du match
66351Blackhawks3Wild5BWSommaire du match
68360Wild3Predators2AWSommaire du match
69370Wild2Blackhawks3ALSommaire du match
72381Wild3Maple Leafs1AWSommaire du match
73383Sharks2Wild3BWR2Sommaire du match
77404Predators3Wild2BLSommaire du match
79412Wild3Stars4ALXSommaire du match
82425Wild5Islanders1AWSommaire du match
83429Kings1Wild3BWR2Sommaire du match
86447Wild4Penguins3AWSommaire du match
88454Sabres2Wild3BWSommaire du match
90467Wild2Kings1AWXR2Sommaire du match
92476Devils2Wild3BWXXSommaire du match
95489Wild1Flames2ALR2Sommaire du match
98502Red Wings5Wild7BWSommaire du match
100515Wild2Islanders1AWSommaire du match
101524Canucks2Wild4BWR2Sommaire du match
104537Wild2Red Wings4ALSommaire du match
106548Stars2Wild3BWSommaire du match
109559Wild2Canadiens4ALSommaire du match
111571Predators1Wild2BWXSommaire du match
115589Wild3Bruins2AWXXSommaire du match
117597Bruins3Wild4BWXSommaire du match
119611Wild4Oilers8ALSommaire du match
121620Sharks2Wild4BWR2Sommaire du match
124640Capitals1Wild3BWSommaire du match
128660Ducks1Wild2BWSommaire du match
130671Wild4Predators3AWXXSommaire du match
133684Rangers2Wild4BWSommaire du match
135692Wild2Canucks4ALR2Sommaire du match
139711Oilers1Wild2BWSommaire du match
141725Wild1Blues2ALSommaire du match
143735Maple Leafs1Wild2BWXSommaire du match
144742Wild5Rangers3AWSommaire du match
147756Flyers1Wild2BWSommaire du match
148760Wild4Senateurs2AWSommaire du match
152781Islanders4Wild1BLSommaire du match
154798Wild6Blues4AWSommaire du match
156804Blues4Wild3BLXXSommaire du match
157813Wild6Canucks1AWR2Sommaire du match
160827Blues3Wild4BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161835Wild4Ducks3AWXXSommaire du match
164853Penguins5Wild6BWXXSommaire du match
165860Wild4Sabres2AWSommaire du match
169877Capitals2Wild1BLSommaire du match
171895Senateurs1Wild2BWXXSommaire du match
172898Wild1Avalanche4ALR5Sommaire du match
175919Senateurs1Wild4BWSommaire du match
179933Wild3Rangers5ALSommaire du match
181943Penguins2Wild1BLSommaire du match
183951Wild6Ducks5AWSommaire du match
190972Flames6Wild5BLXR2Sommaire du match
192983Wild3Sabres2AWXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2616
Assistance81,44140,919
Assistance PCT99.32%99.80%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2984 - 99.48% 89,412$3,665,906$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
8,757,353$ 6,805,000$ 5,955,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 6,857,321$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 45,104$ 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

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

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

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

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