Wild
GP: 82 | W: 39 | L: 31 | OTL: 12 | P: 90
GF: 302 | GA: 330 | PP%: 22.37% | PK%: 78.72%
GM : Charles Levesque / Hugo Lussier-Fortin | Morale : 75 | Team Overall : 61
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Wild
39-31-12, 90pts
3
FINAL
4 Thunderbirds
22-54-6, 50pts
Team Stats
W1StreakL2
19-16-6Home Record11-27-3
20-15-6Away Record11-27-3
6-2-2Last 10 Games6-4-0
3.68Goals Per Game3.27
4.02Goals Against Per Game5.17
22.37%Power Play Percentage17.92%
78.72%Penalty Kill Percentage76.52%
Gulls
41-38-3, 85pts
5
FINAL
6 Wild
39-31-12, 90pts
Team Stats
L2StreakW1
23-15-3Home Record19-16-6
18-23-0Away Record20-15-6
4-6-0Last 10 Games6-2-2
3.70Goals Per Game3.68
3.88Goals Against Per Game4.02
20.16%Power Play Percentage22.37%
75.77%Penalty Kill Percentage78.72%
Team Leaders
Domenic DiVincentiisWins
Domenic DiVincentiis
22
Domenic DiVincentiisSave Percentage
Domenic DiVincentiis
0.905

Team Stats
Goals For
302
3.68 GFG
Shots For
3084
37.61 Avg
Power Play Percentage
22.4%
51 GF
Offensive Zone Start
40.5%
Goals Against
330
4.02 GAA
Shots Against
3225
39.33 Avg
Penalty Kill Percentage
78.7%
60 GA
Defensive Zone Start
41.3%
Team Info

General ManagerCharles Levesque / Hugo Lussier-Fortin
CoachJeff Halpern
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1Adam Ginning
Assistant #2Tanner Dickinson


Arena Info

Capacity3,000
Attendance1,377
Season Tickets300


Roster Info

Pro Team23
Farm Team20
Contract Limit43 / 80
Prospects28


Team History

This Season39-31-12 (90PTS)
History79-66-6 (0.523%)
Playoff Appearances0
Playoff Record (W-L)-
Stanley Cup0


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 #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 Average
1Adam Klapka43X100.00885766649984856365606667646667075660251950,000$
2Aatu Raty (R)54X100.00733985657880886383646561666365075650221950,000$
3Zack MacEwen0XX100.00828065639278756165606261577072075640292950,000$
4Dylan Roobroeck0XX100.00885381599777735762566158606263075620213999,999$
5Bogdan Trineyev0XX100.00743990578380835652545859576365075610232999,999$
6Jaroslav Chmelar0XX100.00774179588679745657595856596264075610223995,000$
7Pierrick Dube0X100.00603775626489846163596158626466075610241975,000$
8Chase Wheatcroft (R)0XX100.00703985577972815665585559566365075600232950,000$
9Dylan Peterson (R)0XX100.00764463598582695665575855596365075600233950,000$
10Jagger Firkus (R)0X100.00623691616481725863605956626165075600213950,000$
11Maros Jedlicka0XXX100.00703893557963625461535756606365075590223995,000$
12Sam Lipkin (R)0X100.00704083577971725654555558566264075590223950,000$
13Ian Moore0X100.00713994638480616230645860516365075630233999,999$
14Domenick Fensore (R)0X100.00643783606487805930585663496466075610242950,000$
15Topias Vilen (R)0X100.00673890607665815830645257466264075610222950,000$
16Cole Clayton0X100.00734082598264835830575356456567075600253950,000$
17Wyatte Wylie (R)0X100.00663891587267795730565455466668075600253975,000$
18Braden Hache0X100.00775150568664655430575559476264075590223995,000$
Scratches
1Chase Bradley0XX100.00583878596873715654585957566365075590233995,000$
2Jeremie Biakabutuka0X100.00773991548661625330525056456365075580233950,000$
TEAM AVERAGE100.0072438159807575585158585855646607561
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 Average
1Erik Portillo (R)100.0077837996767577767577766573075670252950,000$
2Domenic DiVincentiis (R)100.0074767379737274737274736165075640213950,000$
Scratches
1Aleksei Kolosov (R)100.0074777374737274737274736369075640233950,000$
TEAM AVERAGE100.007579758374737574737574636907565
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeff Halpern65717965736877USA491700,000$


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
1Zack MacEwenWild (MIN)C/RW713150811790202252382879721110.80%19148020.8561521431470005795255.54%196800001.0916202363
2Adam KlapkaWild (MIN)RW603833712811523217736712426610.35%36152025.3449135414811271974159.42%38200030.9313012771
3Pierrick DubeWild (MIN)RW712942712740271202769217710.51%16136719.26661243149000004255.86%11100001.0412000364
4Domenick FensoreWild (MIN)D71165066295601301071553810010.32%142164323.1581018721680004196110.00%000010.8000000334
5Jaroslav ChmelarWild (MIN)LW/RW713033632614096712024413414.85%18136819.27391231148000024259.00%10000010.9200000436
6Topias VilenWild (MIN)D719485705001227488336010.23%100167623.62511164015300011931160.00%500000.6805000012
7Dylan RoobroeckWild (MIN)C/LW712234569375146722045816810.78%16133118.75711185017500031046050.89%11200100.8403010324
8Ian MooreWild (MIN)D6412435523601338213043989.23%101158924.8448124815001151870039.06%6400000.6903000023
9Aatu RatyWild (MIN)C41172744142014132181431469.39%1488221.542810308311241785262.35%121100011.0001000123
10Wyatte WylieWild (MIN)D626283425340674657174610.53%63121819.6522415750000941033.33%6900000.5600000112
11Jagger FirkusWild (MIN)RW68191130-64015901774711210.73%1395814.10101130003871148.67%15000100.6311000111
12Braden HacheWild (MIN)D7152328-12800228325214349.62%91114616.14000170001861142.86%2100100.4900000310
13Dylan PetersonWild (MIN)C/RW71101626-944014310112822867.81%585712.0800002000021151.45%103600000.6100000202
14Cole ClaytonWild (MIN)D6452126-4360112587125507.04%82127719.9615616550000720031.30%13100000.4100000011
15Bogdan TrineyevWild (MIN)LW/RW3910818-760375091266710.99%1454513.9800002000022144.07%5900100.6600000140
16Maros JedlickaWild (MIN)C/LW/RW7161218212020449819646.12%1381011.4200000000000052.38%4200000.4400000000
17Chase WheatcroftWild (MIN)C/LW7141216-24023767416515.41%75357.5500002000000054.55%66000000.6000000010
18Chase BradleyWild (MIN)C/LW17246800481931210.53%41066.29000000002110059.46%3700001.1200000000
19Sam LipkinWild (MIN)LW21000-200245140.00%3552.6400013000080044.90%4900000.0000000000
Team Total or Average114627149576611959040177615822662762188610.18%7572037417.7849941434451478235351506361554.97%620700460.75424224324136
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
1Domenic DiVincentiisWild (MIN)3522850.9053.4120962011912550000.70010359122
2Erik PortilloWild (MIN)37171350.9023.4820704212012260000.929143635611
3Aleksei KolosovWild (MIN)20010.9054.6252004420000.0000018000
Team Total or Average743921110.9043.4642206224325230000.833247162733


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 Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave 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 10Link
Aatu RatyWild (MIN)C222002-11-14Yes190 Lbs6 ft2NoNoNo1Pro & Farm950,000$950,000$0$0$NoLink / NHL Link
Adam KlapkaWild (MIN)RW252000-09-14No235 Lbs6 ft8NoNoNo1Pro & Farm950,000$950,000$0$0$NoLink / NHL Link
Aleksei KolosovWild (MIN)G232002-01-04Yes185 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link / NHL Link
Bogdan TrineyevWild (MIN)LW/RW232002-03-04No198 Lbs6 ft3NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Link / NHL Link
Braden HacheWild (MIN)D222003-05-21No200 Lbs6 ft4NoNoNo3Pro & Farm995,000$995,000$0$0$No995,000$995,000$Link / NHL Link
Chase BradleyWild (MIN)C/LW232002-01-09No180 Lbs5 ft11NoNoNo3Pro & Farm995,000$995,000$0$0$No995,000$995,000$Link / NHL Link
Chase WheatcroftWild (MIN)C/LW232002-05-28Yes192 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Link / NHL Link
Cole ClaytonWild (MIN)D252000-02-29No209 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link / NHL Link
Domenic DiVincentiisWild (MIN)G212004-03-04Yes191 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link / NHL Link
Domenick FensoreWild (MIN)D242001-09-07Yes175 Lbs5 ft9NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Link / NHL Link
Dylan PetersonWild (MIN)C/RW232002-01-08Yes192 Lbs6 ft4NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link / NHL Link
Dylan RoobroeckWild (MIN)C/LW212004-07-27No207 Lbs6 ft7NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Link / NHL Link
Erik PortilloWild (MIN)G252000-09-03Yes218 Lbs6 ft6NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Link / NHL Link
Ian MooreWild (MIN)D232002-01-04No203 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Link / NHL Link
Jagger FirkusWild (MIN)RW212004-04-29Yes153 Lbs5 ft10NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link / NHL Link
Jaroslav ChmelarWild (MIN)LW/RW222003-07-20No198 Lbs6 ft4NoNoNo3Pro & Farm995,000$995,000$0$0$No995,000$995,000$Link / NHL Link
Jeremie BiakabutukaWild (MIN)D232002-03-05No198 Lbs6 ft4NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link / NHL Link
Maros JedlickaWild (MIN)C/LW/RW222002-10-23No194 Lbs6 ft2NoNoNo3Pro & Farm995,000$995,000$0$0$No995,000$995,000$Link / NHL Link
Pierrick DubeWild (MIN)RW242001-01-07No172 Lbs5 ft9NoNoNo1Pro & Farm975,000$975,000$0$0$NoLink / NHL Link
Sam LipkinWild (MIN)LW222003-01-03Yes192 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link / NHL Link
Topias VilenWild (MIN)D222003-04-01Yes194 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Link / NHL Link
Wyatte WylieWild (MIN)D251999-11-02Yes190 Lbs6 ft0NoNoNo3Pro & Farm975,000$975,000$0$0$No975,000$975,000$Link / NHL Link
Zack MacEwenWild (MIN)C/RW291996-07-08No227 Lbs6 ft4NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2323.17195 Lbs6 ft22.48966,522$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dylan RoobroeckAdam Klapka40122
2Jaroslav ChmelarZack MacEwenPierrick Dube30122
3Dylan Peterson20122
4Maros JedlickaChase WheatcroftAdam Klapka10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ian MooreTopias Vilen38122
2Domenick Fensore36122
3Cole ClaytonBraden Hache26122
4Cole ClaytonTopias Vilen0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dylan RoobroeckAdam Klapka60122
2Jaroslav ChmelarZack MacEwenPierrick Dube40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ian MooreTopias Vilen60122
2Domenick Fensore40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Adam Klapka60122
2Zack MacEwenDylan Roobroeck40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ian MooreTopias Vilen60122
2Domenick Fensore40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Ian MooreTopias Vilen60122
2Zack MacEwen40122Domenick Fensore40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Adam Klapka60122
2Zack MacEwenDylan Roobroeck40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ian MooreTopias Vilen60122
2Domenick Fensore40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dylan RoobroeckAdam KlapkaTopias Vilen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Dylan RoobroeckAdam KlapkaTopias Vilen
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
Ian Moore, Braden Hache, Domenick FensoreTopias VilenBraden Hache, Domenick Fensore
Penalty Shots
Adam Klapka, , Zack MacEwen, Dylan Roobroeck, Pierrick Dube
Goalie
#1 : Domenic DiVincentiis, #2 : Erik Portillo
Custom OT Lines Forwards
Adam Klapka, , Zack MacEwen, Dylan Roobroeck, Pierrick Dube, Jaroslav Chmelar, Jaroslav Chmelar, , , Dylan Peterson, Chase Wheatcroft
Custom OT Lines Defensemen
, Topias Vilen, Domenick Fensore, ,


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
1Admirals4210000112111211000006602100000165150.62512223400117100806137999106598856118364310014428.57%18383.33%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
2Americans2110000079-2110000002111010000058-320.500712190011710080652999106598856712132535120.00%16568.75%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
3Barracuda31100100816-820100100616-101100000020230.50081422011171008061309991065988561504124578112.50%12558.33%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
4Bears20200000312-91010000023-11010000019-800.000358001171008065699910659885697291645100.00%7271.43%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
5Bruins20101000712-51010000039-61000100043120.5007132000117100806779991065988569015205310330.00%8450.00%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
6Checkers22000000164121100000010191100000063341.0001631470011710080614699910659885656156484250.00%30100.00%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
7Comets302001001116-52020000059-41000010067-110.1671121320011710080611599910659885612736187812325.00%9188.89%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
8Condors321000001517-21100000075221100000812-440.66715274200117100806999991065988561243026754250.00%11463.64%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
9Crunch22000000954110000005321100000042241.000917260011710080668999106598856672418599222.22%6183.33%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
10Devils210001001082110000004131000010067-130.7501020300011710080610299910659885691314515240.00%2150.00%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
11Eagles411001011215-320000101810-22110000045-140.5001223350011710080611899910659885615239301198112.50%14285.71%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
12Firebirds32100000131301010000037-422000000106440.66713263900117100806118999106598856962523686116.67%9277.78%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
13Griffins220000001174110000004221100000075241.0001121320011710080699999106598856893014575360.00%7185.71%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
14Gulls311001001012-22110000089-11000010023-130.500101929001171008061119991065988561343218765120.00%9277.78%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
15IceHogs410002011112-12000010157-22100010065150.62511213201117100806164999106598856138473410715213.33%16287.50%11584310651.00%1583316849.97%731139152.55%1896130220345971044517
16Marlies211000008801010000025-31100000063320.500815230011710080672999106598856521512626116.67%6183.33%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
17Monsters20200000114-131010000017-61010000007-700.000112001171008065399910659885692331048500.00%6183.33%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
18Moose42200000161602110000078-12110000098140.5001629450011710080615399910659885615057471099111.11%21576.19%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
19Penguins2010010047-31000010045-11010000002-210.2504610001171008066399910659885689203260500.00%15473.33%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
20Phantoms21100000710-3110000004311010000037-420.5007121900117100806619991065988568836654600.00%20100.00%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
21Reign30300000817-91010000026-420200000611-500.0008132100117100806106999106598856132372972500.00%10280.00%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
22Roadrunners31200000815-721100000610-41010000025-320.3338152300117100806869991065988561193320898112.50%10280.00%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
23Rocket210010001257110000007161000100054141.00012213300117100806108999106598856752140453266.67%100100.00%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
24Senators210000101394110000007431000001065141.00013233600117100806639991065988561012520507342.86%9277.78%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
25Silver Knights33000000227151100000093622000000134961.000224062001171008061629991065988561202727795480.00%60100.00%11584310651.00%1583316849.97%731139152.55%1896130220345971044517
26Sound Tigers2110000046-2110000003121010000015-420.5004711001171008067799910659885671141037400.00%40100.00%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
27Stars412000101113-22010001057-22110000066040.5001120310011710080612199910659885613958309518527.78%13561.54%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
28Thunderbirds302001001217-51010000056-120100100711-410.167122234001171008061159991065988561313814911317.69%6183.33%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
29Wolf Pack2110000068-2110000004311010000025-320.50061117001171008065899910659885698328586233.33%3166.67%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
30Wolves22000000954110000003211100000063341.000916250011710080668999106598856773712527114.29%60100.00%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
31Wranglers31100010642211000004311000001021140.6676915001171008061269991065988569136206510220.00%8187.50%01584310651.00%1583316849.97%731139152.55%1896130220345971044517
Total82343102933302330-2841181600412151163-1241161502521151167-16900.549302552854021171008063084999106598856322597066321122285122.37%2826078.72%21584310651.00%1583316849.97%731139152.55%1896130220345971044517
_Since Last GM Reset82343102933302330-2841181600412151163-1241161502521151167-16900.549302552854021171008063084999106598856322597066321122285122.37%2826078.72%21584310651.00%1583316849.97%731139152.55%1896130220345971044517
_Vs Conference50182000723175201-26257120031286112-26251180041189890500.500175321496021171008061861999106598856192157240312801402920.71%1723778.49%21584310651.00%1583316849.97%731139152.55%1896130220345971044517
_Vs Division26810004138299-171335002124254-121355002014045-5250.4818215223401117100806894999106598856947308218710851517.65%982079.59%11584310651.00%1583316849.97%731139152.55%1896130220345971044517

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8290W130255285430843225970663211202
All Games
GPWLOTWOTL SOWSOLGFGA
8234312933302330
Home Games
GPWLOTWOTL SOWSOLGFGA
4118160412151163
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4116152521151167
Last 10 Games
WLOTWOTL SOWSOL
620101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2285122.37%2826078.72%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
999106598856117100806
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1584310651.00%1583316849.97%731139152.55%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1896130220345971044517


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
3 - 2025-10-0915Wild4Thunderbirds7ALBoxScore
5 - 2025-10-1133Monsters7Wild1BLBoxScore
7 - 2025-10-1347Reign6Wild2BLBoxScore
8 - 2025-10-1454Wild2Stars4ALBoxScore
11 - 2025-10-1773Wild1Bears9ALBoxScore
12 - 2025-10-1881Wild3Phantoms7ALBoxScore
14 - 2025-10-2093Wild2Wolf Pack5ALBoxScore
16 - 2025-10-22108Wild6Devils7ALXBoxScore
19 - 2025-10-25131Roadrunners9Wild3BLBoxScore
20 - 2025-10-26142Barracuda10Wild1BLBoxScore
22 - 2025-10-28157Moose5Wild3BLBoxScore
24 - 2025-10-30173Penguins5Wild4BLXBoxScore
26 - 2025-11-01190Comets4Wild2BLBoxScore
29 - 2025-11-04208Admirals5Wild3BLBoxScore
31 - 2025-11-06221Wild6Wolves3AWBoxScore
32 - 2025-11-07228Wild1Sound Tigers5ALBoxScore
34 - 2025-11-09249Wranglers2Wild1BLBoxScore
36 - 2025-11-11261Barracuda6Wild5BLXBoxScore
40 - 2025-11-15284Gulls4Wild2BLBoxScore
41 - 2025-11-16298Silver Knights3Wild9BWBoxScore
44 - 2025-11-19317Wolves2Wild3BWBoxScore
46 - 2025-11-21332Wild0Penguins2ALBoxScore
48 - 2025-11-23348Wild4Moose5ALBoxScore
51 - 2025-11-26370Wild2IceHogs0AWBoxScore
53 - 2025-11-28378Eagles4Wild3BLXBoxScore
54 - 2025-11-29399Americans1Wild2BWBoxScore
57 - 2025-12-02418Wild1Condors6ALBoxScore
59 - 2025-12-04433Wild2Wranglers1AWXXBoxScore
61 - 2025-12-06451Wild6Comets7ALXBoxScore
63 - 2025-12-08465Wild5Firebirds4AWBoxScore
66 - 2025-12-11488Stars3Wild4BWXXBoxScore
68 - 2025-12-13496Senators4Wild7BWBoxScore
69 - 2025-12-14511Bruins9Wild3BLBoxScore
71 - 2025-12-16526Bears3Wild2BLBoxScore
73 - 2025-12-18539Wild0Monsters7ALBoxScore
75 - 2025-12-20552Condors5Wild7BWBoxScore
76 - 2025-12-21563Eagles6Wild5BLXXBoxScore
78 - 2025-12-23582Admirals1Wild3BWBoxScore
82 - 2025-12-27594Wild5Moose3AWBoxScore
84 - 2025-12-29614Wild9Silver Knights2AWBoxScore
86 - 2025-12-31625Wild2Barracuda0AWBoxScore
88 - 2026-01-02643Wild2Gulls3ALXBoxScore
89 - 2026-01-03655Wild2Reign5ALBoxScore
91 - 2026-01-05666Wild4Reign6ALBoxScore
94 - 2026-01-08693Wild5Firebirds2AWBoxScore
96 - 2026-01-10708Sound Tigers1Wild3BWBoxScore
98 - 2026-01-12721Devils1Wild4BWBoxScore
101 - 2026-01-15744Moose3Wild4BWBoxScore
103 - 2026-01-17754Wild5Americans8ALBoxScore
105 - 2026-01-19774Wild6Marlies3AWBoxScore
106 - 2026-01-20780Wild5Rocket4AWXBoxScore
108 - 2026-01-22801Griffins2Wild4BWBoxScore
110 - 2026-01-24817Checkers1Wild10BWBoxScore
113 - 2026-01-27837IceHogs3Wild2BLXBoxScore
115 - 2026-01-29853Wranglers1Wild3BWBoxScore
117 - 2026-01-31871Wild7Condors6AWBoxScore
119 - 2026-02-02879Rocket1Wild7BWBoxScore
121 - 2026-02-04896Wild3Admirals1AWBoxScore
143 - 2026-02-26927Wild3Eagles1AWBoxScore
144 - 2026-02-27932Wild2Roadrunners5ALBoxScore
146 - 2026-03-01950Thunderbirds6Wild5BLBoxScore
148 - 2026-03-03967Crunch3Wild5BWBoxScore
151 - 2026-03-06988Wild4Silver Knights2AWBoxScore
153 - 2026-03-081001Wild1Eagles4ALBoxScore
155 - 2026-03-101021Roadrunners1Wild3BWBoxScore
157 - 2026-03-121035Phantoms3Wild4BWBoxScore
159 - 2026-03-141046Wolf Pack3Wild4BWBoxScore
160 - 2026-03-151060Marlies5Wild2BLBoxScore
162 - 2026-03-171071Wild4IceHogs5ALXBoxScore
164 - 2026-03-191087IceHogs4Wild3BLXXBoxScore
166 - 2026-03-211101Stars4Wild1BLBoxScore
169 - 2026-03-241127Wild4Crunch2AWBoxScore
171 - 2026-03-261140Wild6Checkers3AWBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-281155Wild4Bruins3AWXBoxScore
178 - 2026-04-021199Comets5Wild3BLBoxScore
180 - 2026-04-041208Wild6Senators5AWXXBoxScore
181 - 2026-04-051222Wild7Griffins5AWBoxScore
183 - 2026-04-071240Firebirds7Wild3BLBoxScore
185 - 2026-04-091255Wild4Stars2AWBoxScore
187 - 2026-04-111267Wild3Admirals4ALXXBoxScore
189 - 2026-04-131286Wild3Thunderbirds4ALXBoxScore
190 - 2026-04-141296Gulls5Wild6BWBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price6040
Attendance38,10118,373
Attendance PCT46.46%44.81%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
-31 1377 - 45.91% 92,103$3,776,225$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,908,588$ 2,223,000$ 2,223,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 2,198,539$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-2,855,195$ 0 15,224$ 0$




Wild 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
1Zack MacEwen15358901482619649934954210.70%44318120.791025359200078554.30%00.9328
2Adam Klapka142606912901745172996119.82%58304721.468202811011295157.34%30.8514
3Marco Rossi8231649582233203838.09%31195323.824101472213125152.11%10.9702
4Miles Wood8134508484415220333110.27%32185922.95411155600044138.65%00.9001
5Aatu Raty1232955841922762603079.45%55195015.86211133511266258.09%10.8601

Wild Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Nico Daws69342670.8973.4438544122121490011.0009
2Domenic DiVincentiis3522850.9053.4120962011912550000.70010
3Erik Portillo37171350.9023.4820704212012260000.92914
4Felix Sandstrom246900.9053.44108300626520110.0000
5Aleksei Kolosov20010.9054.6252004420000.0000

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
Regular Season
202482373501720275285-1041162000320133146-13412115014001421393872755057802192101793279494992689928280383367620232685319.78%2945680.95%31508297550.69%1536303750.58%692136550.70%1938133419556061048520
202582343102933302330-2841181600412151163-1241161502521151167-1690302552854021171008063084999106598856322597066321122285122.37%2826078.72%21584310651.00%1583316849.97%731139152.55%1896130220345971044517
Total Regular Season1647166031653577615-3882343600732284309-2582373003921293306-1317757710571634232092011599587819481991188784602818031339413549610420.97%57611679.86%53092608150.85%3119620550.27%1423275651.63%383526363989120420921038

Wild 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