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Wild
GP: 82 | W: 50 | L: 27 | OTL: 5 | P: 105
GF: 244 | GA: 227 | PP%: 13.55% | PK%: 83.96%
GM : Eliane Champagne | Morale : 94 | Team Overall : 72
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Game Center
Flames
31-42-9, 71pts
6
FINAL
5 Wild
50-27-5, 105pts
Team Stats
W1StreakW1
16-24-1Home Record30-9-2
15-18-8Home Record20-18-3
4-5-1Last 10 Games5-4-1
2.93Goals Per Game2.98
3.51Goals Against Per Game2.77
15.32%Power Play Percentage13.55%
79.52%Penalty Kill Percentage83.96%
Wild
50-27-5, 105pts
3
FINAL
2 Sabres
37-39-6, 80pts
Team Stats
W1StreakOTL1
30-9-2Home Record17-22-2
20-18-3Home Record20-17-4
5-4-1Last 10 Games1-8-1
2.98Goals Per Game3.01
2.77Goals Against Per Game2.95
13.55%Power Play Percentage20.26%
83.96%Penalty Kill Percentage85.59%
Team Leaders
Goals
Jordan Eberle
38
Assists
Johan Larsson
48
Points
Travis Konecny
77
Plus/Minus
Noah Hanifin
21
Wins
Jake Oettinger
43
Save Percentage
Jake Oettinger
0.917

Team Stats
Goals For
244
2.98 GFG
Shots For
2499
30.48 Avg
Power Play Percentage
13.6%
29 GF
Offensive Zone Start
38.4%
Goals Against
227
2.77 GAA
Shots Against
2568
31.32 Avg
Penalty Kill Percentage
84.0%%
43 GA
Defensive Zone Start
39.1%
Team Info

General ManagerEliane Champagne
CoachTodd Richards
DivisionCentrale
ConferenceOuest
CaptainJohan Larsson
Assistant #1Eliane Champagne
Assistant #2Jordan Eberle


Arena Info

Capacity3,000
Attendance2,984
Season Tickets2,100


Roster Info

Pro Team37
Farm Team19
Contract Limit56 / 60
Prospects5


Filter Tips
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.
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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")
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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
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
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$
Scratches
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$
TEAM AVERAGE100.00704282737670797455777382607777655571
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Jake Oettinger (R)100.00909091929399999999959961779881900251925,000$
2Ilya Samsonov (R)100.008887899091989898998895798184818902733,750,000$
Scratches
1Brandon Halverson (R)100.00735884807987797979758174686020750282575,000$
TEAM AVERAGE100.0084788887889592929286927175816185
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd Richards8578677064591USA5621,900,000$


Filter Tips
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
# Player Name Team NamePOSGP 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
Team Total or Average162823539663110686326518472081249982114819.40%8252434914.962949781461803358441855412056.57%5282517552430.521338161918333638
Filter Tips
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
# Goalie Name Team NameGP 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
Team Total or Average84502750.9132.6949898122425661034223782821474


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
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-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3730.08200 Lbs6 ft12.271,839,189$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Travis KonecnyJohan LarssonBrett Connolly33113
2Sebastian AhoMikael BacklundScott Laughton32113
3Jordan EberlePhillip DanaultJosh Anderson25122
4Jimmy VeseyAnthony CirelliNic Dowd10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Eliane ChampagneMark Pysyk30122
2Xavier OuelletNoah Hanifin27122
3Charlie McAvoyShea Theodore23122
4Jaccob SlavinMark Barberio20122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Travis KonecnyJohan LarssonScott Laughton60113
2Sebastian AhoMikael BacklundBrett Connolly40113
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mark BarberioMark Pysyk60122
2Eliane ChampagneShea Theodore40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Anthony CirelliJordan Eberle60122
2Phillip DanaultBrett Connolly40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jaccob SlavinXavier Ouellet60122
2Charlie McAvoyEliane Champagne40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Anthony Cirelli60122Jaccob SlavinXavier Ouellet60122
2Phillip Danault40122Charlie McAvoyEliane Champagne40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Anthony CirelliJimmy Vesey60122
2Mikael BacklundJosh Anderson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Charlie McAvoyShea Theodore60122
2Xavier OuelletJaccob Slavin40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Travis KonecnyJohan LarssonScott LaughtonMark PysykMark Barberio
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jordan EberleAnthony CirelliBrett ConnollyJaccob SlavinEliane Champagne
Extra Forwards
Normal PowerPlayPenalty Kill
Jimmy Vesey, Josh Anderson, Sebastian AhoJordan Eberle, Travis KonecnyJimmy Vesey
Extra Defensemen
Normal PowerPlayPenalty Kill
Mark Barberio, Noah Hanifin, Shea TheodoreMark PysykCharlie McAvoy, Noah Hanifin
Penalty Shots
Travis Konecny, Brett Connolly, Scott Laughton, Johan Larsson, Phillip Danault
Goalie
#1 : Jake Oettinger, #2 : Ilya Samsonov
Custom OT Lines Forwards
Johan Larsson, Mikael Backlund, Phillip Danault, Anthony Cirelli, Travis Konecny, Jordan Eberle, Jordan Eberle, Sebastian Aho, Scott Laughton, Josh Anderson, Brett Connolly
Custom OT Lines Defensemen
Eliane Champagne, Mark Pysyk, Noah Hanifin, Shea Theodore, Xavier Ouellet


Filter Tips
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
OverallHomeVisitor
# VS Team 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 For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82105W124439664024992568825871184721
All Games
GPWLOTWOTL SOWSOLGFGA
8234277491244227
Home Games
GPWLOTWOTL SOWSOLGFGA
41209515112197
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4114182340123130
Last 10 Games
WLOTWOTL SOWSOL
540100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2142913.55%2684383.96%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8538098096578658520
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1146200857.07%1164204556.92%678117957.51%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1844110417427321408708


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
314Wild1Stars2ALBoxScore
420Avalanche1Wild2BWXR5BoxScore
636Penguins2Wild3BWBoxScore
850Wild2Stars5ALBoxScore
1057Wild2Blackhawks3ALBoxScore
1369Capitals2Wild3BWXXBoxScore
1578Wild1Blues2ALXBoxScore
1788Predators4Wild1BLBoxScore
1996Wild1Flames3ALR2BoxScore
20108Wild3Blackhawks4ALBoxScore
23118Blackhawks1Wild3BWBoxScore
25133Bruins4Wild2BLBoxScore
28149Wild5Avalanche4AWR5BoxScore
30161Devils3Wild4BWXXBoxScore
32170Wild2Flyers3ALXBoxScore
34182Avalanche0Wild2BWR5BoxScore
38199Canadiens3Wild1BLBoxScore
40211Wild3Devils1AWBoxScore
43222Wild3Capitals4ALBoxScore
44233Kings4Wild2BLR2BoxScore
48250Red Wings2Wild5BWBoxScore
50265Wild5Sharks4AWR2BoxScore
52274Wild2Canadiens6ALBoxScore
53280Avalanche2Wild3BWXR5BoxScore
56297Wild2Flyers4ALBoxScore
57305Stars3Wild0BLBoxScore
60318Maple Leafs3Wild5BWBoxScore
62329Wild2Oilers6ALBoxScore
64341Wild4Red Wings3AWXXBoxScore
66351Blackhawks3Wild5BWBoxScore
68360Wild3Predators2AWBoxScore
69370Wild2Blackhawks3ALBoxScore
72381Wild3Maple Leafs1AWBoxScore
73383Sharks2Wild3BWR2BoxScore
77404Predators3Wild2BLBoxScore
79412Wild3Stars4ALXBoxScore
82425Wild5Islanders1AWBoxScore
83429Kings1Wild3BWR2BoxScore
86447Wild4Penguins3AWBoxScore
88454Sabres2Wild3BWBoxScore
90467Wild2Kings1AWXR2BoxScore
92476Devils2Wild3BWXXBoxScore
95489Wild1Flames2ALR2BoxScore
98502Red Wings5Wild7BWBoxScore
100515Wild2Islanders1AWBoxScore
101524Canucks2Wild4BWR2BoxScore
104537Wild2Red Wings4ALBoxScore
106548Stars2Wild3BWBoxScore
109559Wild2Canadiens4ALBoxScore
111571Predators1Wild2BWXBoxScore
115589Wild3Bruins2AWXXBoxScore
117597Bruins3Wild4BWXBoxScore
119611Wild4Oilers8ALBoxScore
121620Sharks2Wild4BWR2BoxScore
124640Capitals1Wild3BWBoxScore
128660Ducks1Wild2BWBoxScore
130671Wild4Predators3AWXXBoxScore
133684Rangers2Wild4BWBoxScore
135692Wild2Canucks4ALR2BoxScore
139711Oilers1Wild2BWBoxScore
141725Wild1Blues2ALBoxScore
143735Maple Leafs1Wild2BWXBoxScore
144742Wild5Rangers3AWBoxScore
147756Flyers1Wild2BWBoxScore
148760Wild4Senateurs2AWBoxScore
152781Islanders4Wild1BLBoxScore
154798Wild6Blues4AWBoxScore
156804Blues4Wild3BLXXBoxScore
157813Wild6Canucks1AWR2BoxScore
160827Blues3Wild4BWBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
161835Wild4Ducks3AWXXBoxScore
164853Penguins5Wild6BWXXBoxScore
165860Wild4Sabres2AWBoxScore
169877Capitals2Wild1BLBoxScore
171895Senateurs1Wild2BWXXBoxScore
172898Wild1Avalanche4ALR5BoxScore
175919Senateurs1Wild4BWBoxScore
179933Wild3Rangers5ALBoxScore
181943Penguins2Wild1BLBoxScore
183951Wild6Ducks5AWBoxScore
190972Flames6Wild5BLXR2BoxScore
192983Wild3Sabres2AWXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price2616
Attendance81,44140,919
Attendance PCT99.32%99.80%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2984 - 99.48% 89,412$3,665,906$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
8,757,353$ 6,805,000$ 5,955,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 6,857,321$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 45,104$ 0$




Wild Players Stat Leaders (Regular Season)

# Player Name 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 Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Wild Career Team Stats

OverallHomeVisitor
Year 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 Players Stat Leaders (Play-Off)

# Player Name 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 Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA