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Connexion

Wild
GP: 82 | W: 44 | L: 29 | OTL: 9 | P: 97
GF: 247 | GA: 224 | PP%: 16.54% | PK%: 82.40%
DG: Eliane Champagne | Morale : 72 | Moyenne d’équipe : 72
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Centre de jeu
Oilers
45-29-8, 98pts
2
FINAL
5 Wild
44-29-9, 97pts
Team Stats
W1StreakW2
25-13-3Home Record21-14-6
20-16-5Away Record23-15-3
6-4-0Last 10 Games5-4-1
3.09Buts par match 3.01
2.87Buts contre par match 2.73
16.92%Pourcentage en avantage numérique16.54%
80.00%Pourcentage en désavantage numérique82.40%
Blackhawks
45-30-7, 97pts
3
FINAL
4 Wild
44-29-9, 97pts
Team Stats
L1StreakW2
22-15-4Home Record21-14-6
23-15-3Away Record23-15-3
6-4-0Last 10 Games5-4-1
3.13Buts par match 3.01
3.02Buts contre par match 2.73
20.45%Pourcentage en avantage numérique16.54%
80.71%Pourcentage en désavantage numérique82.40%
Meneurs d'équipe
Buts
Travis Konecny
35
Passes
Victor Rask
53
Points
Travis Konecny
85
Plus/Moins
Jaccob Slavin
17
Victoires
Juuse Saros
27
Pourcentage d’arrêts
Juuse Saros
0.913

Statistiques d’équipe
Buts pour
247
3.01 GFG
Tirs pour
2400
29.27 Avg
Pourcentage en avantage numérique
16.5%
44 GF
Début de zone offensive
37.7%
Buts contre
224
2.73 GAA
Tirs contre
2488
30.34 Avg
Pourcentage en désavantage numérique
82.4%%
44 GA
Début de la zone défensive
39.3%
Informations de l'équipe

Directeur généralEliane Champagne
EntraîneurTodd Richards
DivisionCentrale
ConférenceOuest
CapitaineNoah Hanifin
Assistant #1Sebastian Aho
Assistant #2Justin Abdelkader


Informations de l’aréna

Capacité3,000
Assistance2,942
Billets de saison2,100


Informations de la formation

Équipe Pro36
Équipe Mineure18
Limite contact 54 / 60
Espoirs7


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)X100.0076427975697888955398966698697088787902611,250,000$
2Victor RaskX100.0069448468757870879794928989868061757903013,000,000$
3Scott Laughton (R)X100.0094467974827084758291898692787574807802823,000,000$
4Andre Burakovsky (R)X100.0075428771746685854995948497767969767802822,500,000$
5Johan LarssonX100.0068398361757381959789869490918452677803033,000,000$
6Josh Anderson (R)X100.0086477474828495835979848582826254807702922,400,000$
7Mikael BacklundX100.0066368974759399769583798576978050777703432,750,000$
8Justin Abdelkader (A)X100.0092398567777790846284847686999524787703622,500,000$
9Anthony Cirelli (R)X100.0085449374827689708583819491727072727602522,500,000$
10Sebastian Aho (A)X100.0063339281717889858585857688748068787602512,000,000$
11Jimmy Vesey (R)X100.007546896676748579548282848481775178740291900,000$
12Andrew Agozzino (R)X100.007366767383707270807668666482766625680322575,000$
13Eliane ChampagneX100.009437866782828970209295979051869868790221700,000$
14Mark PysykX100.0076408665757895963087879161807166737803132,850,000$
15Jaccob Slavin (R)X100.0044249967768397863082789559817147787602922,000,000$
16Charlie McAvoyX100.0092388575768782793087838357737276727602521,750,000$
17Shea Theodore (R)X100.0064378974768792773089838458767371667502732,000,000$
18Noah Hanifin (R) (C)X100.0062308966797993733088838959799181777502632,000,000$
19Xavier Ouellet (R)X100.0061339267748781872583798962857957777502912,000,000$
20Patrik NemethX100.0054319861807683913085849656807160737503132,000,000$
Rayé
1Carter Ashton (R)X100.009869486181516170497961535988815019640321575,000$
2Patrick BordeleauX100.009068526182586764515550715785921219620351575,000$
3Brandon McMillanX100.006422986473425263627551635889854017610332575,000$
4Nikita Scherbak (R)X100.005030766973566957635948725171587520590271575,000$
5Nick Lappin (R)X100.004628767471485563565754675260593219580301575,000$
6Tyler Gaudet (R)X100.003822906578445453775244815874656319570301575,000$
7Hunter Shinkaruk (R)X100.003928866870414358405251685567607519550281575,000$
8Ian McCoshen (R)X100.006836896279666570306373825177636915670271575,000$
9Alex GrantX100.006671796479707860256959665068682120640342575,000$
10Brett Lernout (R)X100.005836796180458956305652755061595920620272575,000$
11Andrei Mironov (R)X100.005236836375496562306256775072635120620281575,000$
12Ryan Sproul (R)X100.005736816178528256305553705171626120610301575,000$
MOYENNE D’ÉQUIPE100.00694083687769797452777380687774595271
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
1Juuse Saros (R)98.009295937387999999999494767953808902811,500,000$
2Ilya Samsonov (R)100.00887992838898999998889670757679870261925,000$
Rayé
1Tobias Stephan100.00784074767691919191757899995319780392575,000$
2Brandon Halverson (R)100.00735884807987797979758170646420740273575,000$
MOYENNE D’ÉQUIPE99.5083688678839492929283877979625082
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Richards98888392947884USA5631,900,000$


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)LW77355085072101551022918816412.03%17158820.64121123392201012614540.00%1255815011.0717110655
2Victor RaskWild (MIN)C72265379454201161712136511812.21%26141719.695192427203000064156.94%18441824001.1114012744
3Scott LaughtonWild (MIN)RW8231255678151641261935510716.06%24166020.255712302300111824161.11%1443231000.6736100235
4Josh AndersonWild (MIN)RW82282351168351921002537414111.07%43154118.8000042510151934440.00%804132000.6611100444
5Andre BurakovskyWild (MIN)LW78133851417512993174621007.47%20126416.21369141760003232038.18%552222000.8116010425
6Johan LarssonWild (MIN)C781932510380141138142407013.38%31126216.18561112172000002154.50%9451318100.8115000245
7Sebastian AhoWild (MIN)RW82202444-2100116961976113810.15%18134116.36371017181000004241.86%434814000.6612000131
8Mikael BacklundWild (MIN)C821426401022076139176631107.95%27115014.0210132001131223062.20%8441720000.7000000171
9Mark PysykWild (MIN)D8182533-2235891258935278.99%66149418.454812172170113101200.00%03936000.4400010003
10Justin AbdelkaderWild (MIN)LW829152442410745712033637.50%147999.75000113000041153.96%2021916000.6022101023
11Anthony CirelliWild (MIN)C81129216409514083194014.46%22100412.4000002811292324055.92%8621214000.4226000322
12Jimmy VeseyWild (MIN)LW8211102110120927912629788.73%20108313.220000310111892045.24%421621000.3900000222
13Eliane ChampagneWild (MIN)D7531316-1142101131255921245.08%53148519.8015612236000096000.00%02535000.2212020000
14Shea TheodoreWild (MIN)D7911314-112026864519322.22%45103613.1202205200003000.00%01429000.2700000000
15Charlie McAvoyWild (MIN)D8221214-23810104894518224.44%73132816.211124170000144100.00%02037000.2100020011
16Patrik NemethWild (MIN)D82212141560261144119194.88%63116614.22000030001241000.00%01532000.2400000000
17Noah HanifinWild (MIN)D8239121014038996615264.55%47125415.303147163000052010.00%01134000.1900000001
18Xavier OuelletWild (MIN)D8211112154032722622133.85%5299812.1800001000033100.00%0826000.2400000000
19Jaccob SlavinWild (MIN)D8218917751999401382.50%85116814.251012120112250010.00%0835000.1500100000
20Andrew AgozzinoWild (MIN)RW21202-41601611142614.29%51818.6200001000000164.29%1414000.2200000011
21Patrick BordeleauWild (MIN)RW12000180862000.00%0574.770000000000000.00%101000.00%00000000
22Brett LernoutWild (MIN)D6000000000000.00%000.110000000000000.00%000000.00%00000000
23Hunter ShinkarukWild (MIN)C1000000000000.00%000.400000000000000.00%000000.00%00000000
24Nikita ScherbakWild (MIN)RW6000000000000.00%000.150000000000000.00%000000.00%00000000
25Brandon McMillanWild (MIN)C7000000100000.00%0101.5300000000000040.00%1000000.00%00000000
26Carter AshtonWild (MIN)LW5000020655150.00%05811.730000000013000.00%211000.00%00000000
27Nick LappinWild (MIN)LW3000000000000.00%000.080000000000000.00%000000.00%00000000
28Tyler GaudetWild (MIN)C2000000110000.00%073.5700000000000033.33%600000.00%00000000
Statistiques d’équipe totales ou en moyenne15862414086499758985182920732400754131110.04%7512436415.3644731171892139459421645381856.03%5219438497110.531441583324043
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
1Juuse SarosWild (MIN)55272150.9132.603212001391606617250.742315328640
2Ilya SamsonovWild (MIN)3017840.9122.6217624077876336010.818112953211
Statistiques d’équipe totales ou en moyenne85442990.9132.61497440216248295326428281851


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 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
Alex GrantWild (MIN)D341989-01-20 11:11:13No210 Lbs6 ft4NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Andre BurakovskyWild (MIN)LW281995-02-09 23:11:13Yes186 Lbs6 ft2NoNoNo2Pro & Farm2,500,000$12,563$0$0$No2,500,000$
Andrei MironovWild (MIN)D281994-07-29 14:14:30Yes194 Lbs6 ft3NoNoNo1Pro & Farm575,000$2,889$0$0$No
Andrew AgozzinoWild (MIN)RW321991-01-03 04:38:16Yes187 Lbs5 ft10NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Anthony CirelliWild (MIN)C251997-07-15 13:38:49Yes180 Lbs6 ft0NoNoNo2Pro & Farm2,500,000$12,563$0$0$No2,500,000$
Brandon HalversonWild (MIN)G271996-03-29 13:44:02Yes209 Lbs6 ft4NoNoNo3Pro & Farm575,000$2,889$0$0$No575,000$575,000$
Brandon McMillanWild (MIN)C331990-03-22 05:11:13No198 Lbs5 ft11NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Brett LernoutWild (MIN)D271995-09-24 23:11:13Yes214 Lbs6 ft4NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Carter AshtonWild (MIN)LW321991-04-01 23:11:13Yes222 Lbs6 ft3NoNoNo1Pro & Farm575,000$2,889$0$0$No
Charlie McAvoyWild (MIN)D251997-12-21 04:22:34No208 Lbs6 ft0NoNoNo2Pro & Farm1,750,000$8,794$0$0$No1,750,000$
Eliane ChampagneWild (MIN)D222000-10-01 11:11:13No234 Lbs6 ft2NoNoNo1Pro & Farm700,000$3,518$0$0$No
Hunter ShinkarukWild (MIN)C281994-10-13 08:27:39Yes185 Lbs5 ft10NoNoNo1Pro & Farm575,000$2,889$0$0$No
Ian McCoshenWild (MIN)D271995-08-05 05:30:04Yes217 Lbs6 ft3NoNoNo1Pro & Farm575,000$2,889$0$0$No
Ilya SamsonovWild (MIN)G261997-02-22 03:28:53Yes205 Lbs6 ft3NoNoNo1Pro & Farm925,000$4,648$0$0$No
Jaccob SlavinWild (MIN)D291994-05-01 12:36:34Yes202 Lbs6 ft2NoNoNo2Pro & Farm2,000,000$10,050$0$0$No2,000,000$
Jimmy VeseyWild (MIN)LW291993-05-26 03:37:16Yes199 Lbs6 ft3NoNoNo1Pro & Farm900,000$4,523$0$0$No
Johan LarssonWild (MIN)C301992-07-25 05:11:13No211 Lbs5 ft10NoNoNo3Pro & Farm3,000,000$15,075$0$0$No3,000,000$3,000,000$
Josh AndersonWild (MIN)RW291994-05-07 17:11:13Yes221 Lbs6 ft3NoNoNo2Pro & Farm2,400,000$12,060$0$0$No2,400,000$
Justin AbdelkaderWild (MIN)LW361987-02-25 23:11:13No214 Lbs6 ft2NoNoNo2Pro & Farm2,500,000$12,563$0$0$No2,500,000$
Juuse SarosWild (MIN)G281995-04-19 08:25:44Yes179 Lbs5 ft10NoNoNo1Pro & Farm1,500,000$7,538$0$0$No
Mark PysykWild (MIN)D311992-01-11 05:11:13No200 Lbs6 ft1NoNoNo3Pro & Farm2,850,000$14,322$0$0$No2,850,000$2,850,000$
Mikael BacklundWild (MIN)C341989-03-17 11:11:13No200 Lbs6 ft0NoNoNo3Pro & Farm2,750,000$13,819$0$0$No2,750,000$2,750,000$
Nick LappinWild (MIN)LW301992-11-01 03:57:53Yes175 Lbs6 ft1NoNoNo1Pro & Farm575,000$2,889$0$0$No
Nikita ScherbakWild (MIN)RW271995-12-30 09:41:17Yes192 Lbs6 ft2NoNoNo1Pro & Farm575,000$2,889$0$0$No
Noah HanifinWild (MIN)D261997-01-25 11:11:13Yes215 Lbs6 ft3NoNoNo3Pro & Farm2,000,000$10,050$0$0$No2,000,000$2,000,000$
Patrick BordeleauWild (MIN)RW351987-08-03 17:11:13No229 Lbs6 ft6NoNoNo1Pro & Farm575,000$2,889$0$0$No
Patrik NemethWild (MIN)D311992-02-08 05:11:13No219 Lbs6 ft3NoNoNo3Pro & Farm2,000,000$10,050$0$0$No2,000,000$2,000,000$
Ryan SproulWild (MIN)D301993-01-13 09:04:01Yes205 Lbs6 ft4NoNoNo1Pro & Farm575,000$2,889$0$0$No
Scott LaughtonWild (MIN)RW281994-05-30 17:11:13Yes190 Lbs6 ft1NoNoNo2Pro & Farm3,000,000$15,075$0$0$No3,000,000$
Sebastian AhoWild (MIN)RW251997-07-26 03:43:13No176 Lbs6 ft0NoNoNo1Pro & Farm2,000,000$10,050$0$0$No
Shea TheodoreWild (MIN)D271995-08-03 23:11:13Yes195 Lbs6 ft2NoNoNo3Pro & Farm2,000,000$10,050$0$0$No2,000,000$2,000,000$
Tobias StephanWild (MIN)G391984-01-21 05:11:14No189 Lbs6 ft2NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Travis KonecnyWild (MIN)LW261997-03-11 08:19:19Yes175 Lbs5 ft10NoNoNo1Pro & Farm1,250,000$6,281$0$0$No
Tyler GaudetWild (MIN)C301993-04-04 11:11:13Yes206 Lbs6 ft3NoNoNo1Pro & Farm575,000$2,889$0$0$No
Victor RaskWild (MIN)C301993-03-01 11:11:13No197 Lbs6 ft2NoNoNo1Pro & Farm3,000,000$15,075$0$0$No
Xavier OuelletWild (MIN)D291993-07-29 11:11:13Yes195 Lbs6 ft1NoNoNo1Pro & Farm2,000,000$10,050$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3629.25201 Lbs6 ft21.721,448,611$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Travis KonecnyVictor RaskScott Laughton35113
2Andre BurakovskyJohan LarssonSebastian Aho27113
3Jimmy VeseyMikael BacklundJosh Anderson23113
4Justin AbdelkaderAnthony CirelliAndrew Agozzino15113
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Eliane ChampagneMark Pysyk30131
2Charlie McAvoyShea Theodore27131
3Noah HanifinXavier Ouellet23131
4Patrik NemethJaccob Slavin20131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Travis KonecnyVictor RaskScott Laughton60104
2Andre BurakovskyJohan LarssonSebastian Aho40104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Eliane ChampagneMark Pysyk60122
2Charlie McAvoyNoah Hanifin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anthony CirelliJosh Anderson60131
2Mikael BacklundJimmy Vesey40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaccob SlavinPatrik Nemeth60131
2Charlie McAvoyNoah Hanifin40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anthony Cirelli60131Jaccob SlavinPatrik Nemeth60140
2Mikael Backlund40131Charlie McAvoyNoah Hanifin40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anthony CirelliJosh Anderson60122
2Mikael BacklundJimmy Vesey40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Xavier OuelletNoah Hanifin60131
2Charlie McAvoyShea Theodore40131
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Travis KonecnyVictor RaskScott LaughtonEliane ChampagneMark Pysyk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony CirelliJohan LarssonScott LaughtonJaccob SlavinPatrik Nemeth
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Abdelkader, Josh Anderson, Jimmy VeseyJosh Anderson, Sebastian AhoScott Laughton
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Xavier Ouellet, Jaccob Slavin, Charlie McAvoyShea TheodoreXavier Ouellet, Noah Hanifin
Tirs de pénalité
Josh Anderson, Anthony Cirelli, Scott Laughton, Jimmy Vesey, Johan Larsson
Gardien
#1 : Juuse Saros, #2 : Ilya Samsonov
Lignes d’attaque personnalisées en prolongation
Victor Rask, Johan Larsson, Mikael Backlund, Anthony Cirelli, Travis Konecny, Andre Burakovsky, Andre Burakovsky, Jimmy Vesey, Scott Laughton, Josh Anderson, Sebastian Aho
Lignes de défense personnalisées en prolongation
Eliane Champagne, Mark Pysyk, Noah Hanifin, Charlie McAvoy, Shea Theodore


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
1Avalanche63200001171433020000169-333000000115670.583173047007590721818180683872770187575213934823.53%21385.71%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
2Blackhawks63100200221753200010013853110010099080.667223557107590721816880683872770192577116735720.00%23578.26%11141194558.66%1138202956.09%645118854.29%1845106816817361459752
3Blues71302010181713020100067-1411010101210280.57118314900759072181728068387277019763761721715.88%38684.21%11141194558.66%1138202956.09%645118854.29%1845106816817361459752
4Bruins21100000871110000006241010000025-320.50081321007590721873806838727706022445500.00%20100.00%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
5Canadiens211000005411010000023-11100000031220.50051015007590721862806838727706313839200.00%4175.00%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
6Canucks42000110151052100010053221000010107370.87515243900759072181228068387277013235298410220.00%80100.00%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
7Capitals200001104401000010012-11000001032130.750459007590721860806838727705116441400.00%20100.00%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
8Devils22000000835110000003121100000052341.000814220075907218518068387277060181341400.00%40100.00%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
9Ducks4200010112111210001006602100000165160.75012193100759072181178068387277012038347113215.38%17382.35%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
10Flames402001101014-4200001106602020000048-430.37510132310759072181188068387277012843181081317.69%9366.67%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
11Flyers21100000871110000004221010000045-120.500815230075907218658068387277063188405120.00%40100.00%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
12Islanders210010001156110000008351000100032141.00011213200759072185380683872770582216544125.00%80100.00%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
13Kings422000001192211000003302110000086240.50011193000759072181098068387277011044208110220.00%10190.00%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
14Maple Leafs21000010752100000102111100000054141.000710170075907218638068387277066208518112.50%4250.00%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
15Oilers514000001019-931200000712-52020000037-420.20010182810759072181588068387277015443291011700.00%12466.67%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
16Penguins20101000440100010003211010000012-120.500459007590721862806838727706615437300.00%20100.00%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
17Predators642000002416832100000139432100000117480.667244165107590721818480683872770178456014319631.58%30680.00%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
18Rangers321000008801010000013-22200000075240.667815230075907218788068387277082278757228.57%40100.00%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
19Red Wings21100000651110000004131010000024-220.500610161075907218578068387277066196432150.00%3233.33%11141194558.66%1138202956.09%645118854.29%1845106816817361459752
20Sabres31200000610-42110000056-11010000014-320.33361117107590721896806838727709227659900.00%3166.67%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
21Senateurs21000010853100000104311100000042241.0008111900759072186580683872770642684522100.00%40100.00%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
22Sharks41300000616-102020000018-72110000058-320.2506101600759072181038068387277013132388110110.00%9544.44%11141194558.66%1138202956.09%645118854.29%1845106816817361459752
23Stars63200100191453210000013853110010066070.583192847007590721818380683872770168517311233618.18%29293.10%01141194558.66%1138202956.09%645118854.29%1845106816817361459752
Total82342904762247224234116140253112210814411815022311251169970.5912474086556075907218240080683872770248875159318292664416.54%2504482.40%41141194558.66%1138202956.09%645118854.29%1845106816817361459752
_Since Last GM Reset82342904762247224234116140253112210814411815022311251169970.5912474086556075907218240080683872770248875159318292664416.54%2504482.40%41141194558.66%1138202956.09%645118854.29%1845106816817361459752
_Vs Conference56222102632164157728101101411797902812100122185787620.5541642684324075907218161580683872770169750850012592113617.06%2063881.55%31141194558.66%1138202956.09%645118854.29%1845106816817361459752
_Vs Division311410023111007822156601101514110168401210493712380.6131001652652075907218888806838727709222733327331382820.29%1412284.40%21141194558.66%1138202956.09%645118854.29%1845106816817361459752

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8297W224740865524002488751593182960
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8234294762247224
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116142531122108
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4118152231125116
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
2664416.54%2504482.40%4
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
8068387277075907218
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
1141194558.66%1138202956.09%645118854.29%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1845106816817361459752


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 - 2022-10-185Oilers7Wild1BLSommaire du match
4 - 2022-10-2116Wild2Blues4ALSommaire du match
7 - 2022-10-2431Wild2Blackhawks4ALSommaire du match
10 - 2022-10-2744Blues3Wild2BLSommaire du match
12 - 2022-10-2954Avalanche2Wild1BLXXR5Sommaire du match
13 - 2022-10-3062Wild0Stars2ALSommaire du match
16 - 2022-11-0280Stars2Wild4BWSommaire du match
20 - 2022-11-0696Blackhawks4Wild3BLXSommaire du match
23 - 2022-11-09108Wild2Predators3ALSommaire du match
24 - 2022-11-10114Wild3Avalanche2AWR5Sommaire du match
27 - 2022-11-13123Wild2Ducks3ALXXSommaire du match
29 - 2022-11-15135Predators4Wild6BWSommaire du match
31 - 2022-11-17147Wild3Kings4ALR2Sommaire du match
32 - 2022-11-18153Wild4Blues3AWXXSommaire du match
35 - 2022-11-21167Predators3Wild1BLSommaire du match
37 - 2022-11-23175Wild6Canucks4AWR2Sommaire du match
40 - 2022-11-26188Wild1Oilers3ALSommaire du match
41 - 2022-11-27192Sabres3Wild4BWSommaire du match
45 - 2022-12-01211Canadiens3Wild2BLSommaire du match
47 - 2022-12-03223Wild3Canadiens1AWSommaire du match
51 - 2022-12-07235Red Wings1Wild4BWSommaire du match
53 - 2022-12-09247Wild2Blues1AWXSommaire du match
55 - 2022-12-11255Wild1Sabres4ALSommaire du match
57 - 2022-12-13261Sharks2Wild1BLR2Sommaire du match
59 - 2022-12-15269Wild5Devils2AWSommaire du match
62 - 2022-12-18286Flames4Wild3BLXR2Sommaire du match
64 - 2022-12-20292Wild4Sharks3AWR2Sommaire du match
66 - 2022-12-22305Wild3Islanders2AWXSommaire du match
68 - 2022-12-24312Penguins2Wild3BWXSommaire du match
70 - 2022-12-26323Wild4Canucks3AWXXR2Sommaire du match
72 - 2022-12-28336Maple Leafs1Wild2BWXXSommaire du match
76 - 2023-01-01357Wild2Red Wings4ALSommaire du match
77 - 2023-01-02364Avalanche3Wild2BLR5Sommaire du match
80 - 2023-01-05380Rangers3Wild1BLSommaire du match
82 - 2023-01-07389Wild5Kings2AWR2Sommaire du match
84 - 2023-01-09401Wild1Penguins2ALSommaire du match
85 - 2023-01-10407Bruins2Wild6BWSommaire du match
89 - 2023-01-14427Kings1Wild2BWR2Sommaire du match
91 - 2023-01-16444Wild3Rangers2AWSommaire du match
94 - 2023-01-19455Devils1Wild3BWSommaire du match
97 - 2023-01-22471Wild5Blackhawks2AWSommaire du match
98 - 2023-01-23478Canucks1Wild4BWR2Sommaire du match
101 - 2023-01-26493Wild5Maple Leafs4AWSommaire du match
102 - 2023-01-27502Sharks6Wild0BLR2Sommaire du match
107 - 2023-02-01523Senateurs3Wild4BWXXSommaire du match
109 - 2023-02-03536Wild4Avalanche2AWR5Sommaire du match
110 - 2023-02-04544Ducks3Wild4BWSommaire du match
112 - 2023-02-06557Wild3Capitals2AWXXSommaire du match
115 - 2023-02-09571Islanders3Wild8BWSommaire du match
117 - 2023-02-11581Wild4Rangers3AWSommaire du match
119 - 2023-02-13593Predators2Wild6BWSommaire du match
123 - 2023-02-17612Stars2Wild7BWSommaire du match
125 - 2023-02-19627Wild4Ducks2AWSommaire du match
126 - 2023-02-20631Wild6Predators3AWSommaire du match
128 - 2023-02-22645Canucks2Wild1BLXR2Sommaire du match
131 - 2023-02-25662Blues3Wild2BLSommaire du match
133 - 2023-02-27672Wild4Senateurs2AWSommaire du match
135 - 2023-03-01684Avalanche4Wild3BLR5Sommaire du match
137 - 2023-03-03695Wild1Sharks5ALR2Sommaire du match
139 - 2023-03-05707Capitals2Wild1BLXSommaire du match
141 - 2023-03-07718Wild1Stars2ALXSommaire du match
144 - 2023-03-10727Wild4Avalanche1AWR5Sommaire du match
147 - 2023-03-13740Flyers2Wild4BWSommaire du match
149 - 2023-03-15753Wild3Predators1AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151 - 2023-03-17760Flames2Wild3BWXXR2Sommaire du match
154 - 2023-03-20775Wild2Flames4ALSommaire du match
156 - 2023-03-22786Wild2Bruins5ALSommaire du match
157 - 2023-03-23792Ducks3Wild2BLXSommaire du match
160 - 2023-03-26810Oilers3Wild1BLSommaire du match
162 - 2023-03-28821Wild2Flames4ALR2Sommaire du match
163 - 2023-03-29827Wild4Flyers5ALSommaire du match
165 - 2023-03-31835Wild4Blues2AWSommaire du match
166 - 2023-04-01840Kings2Wild1BLR2Sommaire du match
170 - 2023-04-05859Wild5Stars2AWSommaire du match
171 - 2023-04-06864Blackhawks1Wild6BWSommaire du match
176 - 2023-04-11887Blues1Wild2BWXSommaire du match
177 - 2023-04-12892Wild2Blackhawks3ALXSommaire du match
181 - 2023-04-16908Wild2Oilers4ALSommaire du match
182 - 2023-04-17912Sabres3Wild1BLSommaire du match
186 - 2023-04-21935Stars4Wild2BLSommaire du match
191 - 2023-04-26958Oilers2Wild5BWSommaire du match
197 - 2023-05-02983Blackhawks3Wild4BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance80,32740,308
Assistance PCT97.96%98.31%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2942 - 98.08% 85,517$3,506,177$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
6,974,214$ 5,215,000$ 3,900,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
26,206$ 5,083,721$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 35,754$ 35,754$




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

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 (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