Minnesota

GM : Fred Villiard Morale : 13 Team Overall : 45
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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 SP
1Chris ThorburnXX100.00656673678455724856445261486253053570
2Chris TerryXX100.00573588736561645247446059524138061560
3Jason AkesonX100.00453580736050343649393360444037061480
4Austin Czarnik (R)X100.00454545454445454545454545453230058450
5Peter MuellerX100.00325267567133583335333361474940023450
6Alexander Guptill (R)X100.00434343435443434343434343433230061440
7Travis Ewanyk (R)XX100.00434343435443434343434343433230066440
8Ben MaxwellX100.00328832496733423335333347474239064420
9David Pope (R)X100.00404040406140404040404040403230061420
10James WrightX100.00456554427033523335333342474438061410
11Martin Reway (R)XX100.00404040404240404040404040403230061410
12Jan MursakXX100.00328634436133423335333344474036061400
13Maxime MacenauerX100.00398733425933423335333344473532061400
14Jonny Brodzinski (R)XX100.00373737376937373737373737373230061400
15Julius Vahatalo (R)X100.00373737376737373737373737373230061400
16Saku Maenalanen (R)XX100.00373737375537373737373737373230024390
17Anthony Louis (R)X100.00373737373537373737373737373230070380
18Kristopher FoucaultX100.00329030337033403335333333473532070380
19John MooreX100.00674385676971644735494571485246062610
20Matt DumbaX100.00673584756260675135475569484537061600
21Oliver Kylington (R)X100.00473595705755353135303264483532061510
22Miles Gendron (R)X100.00434343435643434343434343433230061440
23Will Butcher (R)X100.00373737376037373737373737373230061400
Scratches
TEAM AVERAGE100.0043505249614346393939404844383405845
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 SP
1Kevin Poulin100.0044459274454445464362604441012500
2Niko Hovinen100.0037373777373737373737373230056410
Scratches
TEAM AVERAGE100.004141657641414142405049383603446
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeff Daniels52537152797664CAN482500,000$


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 NamePOS GP 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
1Chris TerryMinnesota (Min)LW/RW40203757614036701580012.66%1986921.74718255214303381952151.95%7700101.3125000445
2Chris ThorburnMinnesota (Min)LW/RW4021274867420109681300016.15%682120.556121827137202121732360.19%42700001.1715220750
3Matt DumbaMinnesota (Min)D4092332-22460735897009.28%5092723.196814541351012152100.00%000000.6900000142
4John MooreMinnesota (Min)D40102131-114756256980010.20%6896324.086511681400112168300.00%000000.6400001010
5Oliver KylingtonMinnesota (Min)D40141327-17601757840016.67%8285421.358715501260110157110.00%000000.6300000231
6Travis EwanykMinnesota (Min)C/LW4081018-1345154051560014.29%448212.0700019000040042.86%42700000.7500102000
7Martin RewayMinnesota (Min)C/LW4041317-94608436140028.57%3157714.4400002000040035.85%10600000.5900000000
8Austin CzarnikMinnesota (Min)C4041216-22275596754007.41%262015.5136920131000020051.31%72700000.5200010001
9Jason AkesonMinnesota (Min)RW407916-2060249284008.33%973018.26145221291013960046.67%4500010.4400000011
10Alexander GuptillMinnesota (Min)LW402810-23280481340005.00%363115.79123121230001220038.64%4400000.3200000000
11David PopeMinnesota (Min)LW402810-16180313333006.06%448312.0800001000000056.00%2500000.4100000000
12Julius VahataloMinnesota (Min)LW40347-42201513220013.64%12446.1200001000011033.33%1200000.5700000001
13Jan MursakMinnesota (Min)LW/RW40325-51202213160018.75%32556.4000003000061046.43%2800000.3900000000
14Jonny BrodzinskiMinnesota (Min)C/RW40235-15200351731006.45%746611.6600018000000156.00%2500000.2100000000
15Will ButcherMinnesota (Min)D40325-24205112120025.00%3364616.16000232000069000.00%000000.1500000001
16Ben MaxwellMinnesota (Min)C40314-21353228220013.64%22736.840003200000371045.88%19400000.2900100002
17Miles GendronMinnesota (Min)D40033-20500932015000.00%2980920.24000111200000132000.00%000000.0700000001
18James WrightMinnesota (Min)C40011-100564000.00%1842.120110130000170031.82%4400000.2400000000
19Maxime MacenauerMinnesota (Min)C37000480882000.00%51604.340001120001900041.25%8000000.0000000000
20Peter MuellerMinnesota (Min)RW3000-100144000.00%23511.860000000000000.00%100000.0000000000
Team Total or Average760115197312-187524508457229760011.78%3611093914.393863101324129245929133012649.07%226200110.57310433141815
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
1Kevin PoulinMinnesota (Min)40131930.8764.2119944014011310410.5569400210
2Niko HovinenMinnesota (Min)131310.8943.4543500252360000.6676040000
Team Total or Average53142240.8794.0824294016513670410.600154040210


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 Force Waivers Contract StatusType Current Salary Salary RemainingSalary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Alexander GuptillMinnesota (Min)LW231992-05-05Yes175 Lbs6 ft3NoNo4RFAPro & Farm840,000$840,000$840,000$840,000$Link
Anthony LouisMinnesota (Min)C201995-02-10Yes145 Lbs5 ft6NoNo4ELCPro & Farm525,000$525,000$525,000$525,000$Link
Austin CzarnikMinnesota (Min)C221992-12-12Yes160 Lbs5 ft9NoNo4RFAPro & Farm792,000$792,000$792,000$792,000$Link
Ben MaxwellMinnesota (Min)C271988-03-30No195 Lbs6 ft1NoNo6RFAPro & Farm670,000$670,000$670,000$670,000$670,000$670,000$Link
Chris TerryMinnesota (Min)LW/RW261989-04-07No195 Lbs5 ft10NoNo1RFAPro & Farm525,000$Link
Chris ThorburnMinnesota (Min)LW/RW321983-06-03No235 Lbs6 ft3NoNo4UFAPro & Farm800,000$800,000$800,000$800,000$Link
David PopeMinnesota (Min)LW211994-09-27Yes187 Lbs6 ft2NoNo4ELCPro & Farm650,000$650,000$650,000$650,000$Link
James WrightMinnesota (Min)C251990-03-24No200 Lbs6 ft4NoNo2RFAPro & Farm600,000$600,000$Link
Jan MursakMinnesota (Min)LW/RW271988-01-20No190 Lbs5 ft11NoNo1RFAPro & Farm500,000$Link
Jason AkesonMinnesota (Min)RW251990-06-03No190 Lbs5 ft10NoNo1RFAPro & Farm715,000$Link
John MooreMinnesota (Min)D241990-11-19No210 Lbs6 ft3NoNo4RFAPro & Farm1,000,000$1,000,000$1,000,000$1,000,000$Link
Jonny BrodzinskiMinnesota (Min)C/RW221993-06-19Yes202 Lbs6 ft0NoNo4RFAPro & Farm693,000$693,000$693,000$693,000$Link
Julius VahataloMinnesota (Min)LW201995-05-23Yes191 Lbs6 ft5NoNo4ELCPro & Farm525,000$525,000$525,000$525,000$Link
Kevin PoulinMinnesota (Min)G251990-04-12No199 Lbs6 ft2NoNo3RFAPro & Farm700,000$700,000$700,000$Link
Kristopher FoucaultMinnesota (Min)LW241990-12-12No202 Lbs6 ft1NoNo6RFAPro & Farm750,000$750,000$750,000$750,000$750,000$750,000$Link
Martin RewayMinnesota (Min)C/LW201995-01-24Yes158 Lbs5 ft8NoNo4ELCPro & Farm650,000$650,000$650,000$650,000$Link
Matt DumbaMinnesota (Min)D211994-07-25No193 Lbs6 ft0NoNo2ELCPro & Farm925,000$925,000$Link
Maxime MacenauerMinnesota (Min)C261989-01-04No188 Lbs5 ft11NoNo6RFAPro & Farm700,000$700,000$700,000$700,000$700,000$700,000$Link
Miles GendronMinnesota (Min)D191996-06-28Yes181 Lbs6 ft1NoNo4ELCPro & Farm700,000$700,000$700,000$700,000$Link
Niko HovinenMinnesota (Min)G271988-03-16No200 Lbs6 ft7NoNo3RFAPro & Farm525,000$525,000$525,000$Link
Oliver KylingtonMinnesota (Min)D181997-05-19Yes183 Lbs6 ft0NoNo4ELCPro & Farm743,000$743,000$743,000$743,000$Link
Peter MuellerMinnesota (Min)RW271988-04-14No204 Lbs6 ft2NoNo1RFAPro & Farm450,000$Link
Saku MaenalanenMinnesota (Min)LW/RW211994-05-29Yes176 Lbs6 ft3NoNo4ELCPro & Farm525,000$525,000$525,000$525,000$Link
Travis EwanykMinnesota (Min)C/LW221993-03-29Yes176 Lbs6 ft1NoNo4RFAPro & Farm750,000$750,000$750,000$750,000$Link
Will ButcherMinnesota (Min)D201995-01-06Yes191 Lbs5 ft9NoNo4ELCPro & Farm525,000$525,000$525,000$525,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2523.36189 Lbs6 ft13.52671,120$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Chris ThorburnChris Terry40122
2Travis EwanykAustin CzarnikJason Akeson30122
3Alexander GuptillBen MaxwellPeter Mueller20122
4David PopeJames WrightJonny Brodzinski10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1John MooreMatt Dumba40122
2Oliver KylingtonMiles Gendron30122
3Will ButcherDavid Pope20122
4John MooreMatt Dumba10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Chris ThorburnChris Terry60122
2Travis EwanykAustin CzarnikJason Akeson40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1John MooreMatt Dumba60122
2Oliver KylingtonMiles Gendron40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Chris ThorburnChris Terry60122
2Jason Akeson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1John MooreMatt Dumba60122
2Oliver KylingtonMiles Gendron40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Chris Thorburn60122John MooreMatt Dumba60122
2Chris Terry40122Oliver KylingtonMiles Gendron40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Chris ThorburnChris Terry60122
2Jason Akeson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1John MooreMatt Dumba60122
2Oliver KylingtonMiles Gendron40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Chris ThorburnChris TerryJohn MooreMatt Dumba
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Chris ThorburnChris TerryJohn MooreMatt Dumba
Extra Forwards
Normal PowerPlayPenalty Kill
Martin Reway, Julius Vahatalo, Jan MursakMartin Reway, Julius VahataloJan Mursak
Extra Defensemen
Normal PowerPlayPenalty Kill
Will Butcher, Oliver Kylington, Miles GendronWill ButcherOliver Kylington, Miles Gendron
Penalty Shots
Chris Thorburn, Chris Terry, , Jason Akeson, Austin Czarnik
Goalie
#1 : Kevin Poulin, #2 : Niko Hovinen


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
Admirals303000001017-720200000811-31010000026-400.0001020300010778746758458798183413834426015320.00%21385.71%11021246441.44%1236298941.35%603147640.85%1604103823136491039474
Falcons211000006601010000034-11100000032120.5006111700107787466684587981834903323611317.69%9366.67%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Bruins20200000713-61010000046-21010000037-400.000714210010778746638458798183493281537400.00%40100.00%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Crunch20100010660100000103211010000034-120.50061016001077874692845879818346821223714214.29%11372.73%11021246441.44%1236298941.35%603147640.85%1604103823136491039474
Heat31200000816-81010000017-62110000079-220.3338162400107787461018458798183414732358612433.33%15193.33%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Phantoms20100001710-31000000134-11010000046-210.2507121900107787469284587981834913414578112.50%70100.00%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Baby Hawks413000001418-42110000088020200000610-420.2501428421010778746918458798183416045528117529.41%25484.00%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Monsters505000001325-1230300000817-92020000058-300.00013233600107787461278458798183419573369022522.73%160100.00%11021246441.44%1236298941.35%603147640.85%1604103823136491039474
Jayhawks514000001225-132110000059-430300000716-920.20012233500107787461238458798183419959519417529.41%22386.36%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Cougars21100000811-3110000004311010000048-420.50081523001077874668845879818345821184117317.65%9455.56%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Oil Kings312000001015-51100000043120200000612-620.333101828001077874686845879818341102633671119.09%13469.23%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Sound Tigers20200000312-91010000023-11010000019-800.0003690010778746678458798183499421737600.00%5340.00%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Monarchs31200000813-5211000008801010000005-520.333814220010778746878458798183412328295312216.67%11372.73%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Spiders20200000513-81010000027-51010000036-300.0005914001077874655845879818349525433213215.38%14471.43%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Senators20200000712-51010000035-21010000047-300.00071421001077874610784587981834762422587114.29%6350.00%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Manchots20200000611-51010000046-21010000025-300.00061218001077874670845879818347324223010220.00%6183.33%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Wolf Pack211000001091110000005231010000057-220.500101828001077874693845879818348320244813323.08%12466.67%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Sharks30300000415-1120200000311-81010000014-300.000461000107787465684587981834118396488600.00%22672.73%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Chiefs505000001130-1930300000517-1220200000613-700.00011213200107787461378458798183418452509618211.11%20575.00%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Thunder200000118801000000145-11000001043130.75081321001077874656845879818347129284210440.00%13376.92%11021246441.44%1236298941.35%603147640.85%1604103823136491039474
Marlies2110000011110110000006511010000056-120.50011223300107787468784587981834742145414214.29%20100.00%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Comets3110100011101110000006422010100056-140.667112132001077874611084587981834862420601119.09%10280.00%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Cabaret Lady Mary Ann2110000079-2110000006511010000014-320.50071320001077874673845879818349121205413215.38%10280.00%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
IceCaps532000001618-221100000610-432100000108260.60016284400107787461288458798183419543669218422.22%27388.89%11021246441.44%1236298941.35%603147640.85%1604103823136491039474
Chill31100010121202110000067-11000001065140.6671220320010778746918458798183411430366013323.08%13376.92%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Rocket211000001014-41100000054110100000510-520.5001020300010778746788458798183411738524312216.67%8275.00%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Bears2110000089-11010000046-21100000043120.5008122000107787464684587981834792528396116.67%13284.62%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Caroline2010000158-31000000123-11010000035-210.2505101500107787466084587981834661722478112.50%11281.82%11021246441.44%1236298941.35%603147640.85%1604103823136491039474
Las Vegas504001002032-122010010079-2303000001323-1010.100203757001077874617484587981834215415687351234.29%21957.14%01021246441.44%1236298941.35%603147640.85%1604103823136491039474
Vs Division21213001006398-351125001003651-151008000002747-2050.11963115178001077874660684587981834836213259474801417.50%1052279.05%11021246441.44%1236298941.35%603147640.85%1604103823136491039474
Vs Conference4593201111146230-8421810001117096-26241220100076134-58240.267146277423101077874614078458798183417704914719372214721.27%1934178.76%31021246441.44%1236298941.35%603147640.85%1604103823136491039474
Since Last GM Reset82175701133263408-14541122400113135191-564153301020128217-89460.2802634867491010778746255984587981834330894994417313757419.73%3768278.19%61021246441.44%1236298941.35%603147640.85%1604103823136491039474
Total82175701133263408-14541122400113135191-564153301020128217-89460.2802634867491010778746255984587981834330894994417313757419.73%3768278.19%61021246441.44%1236298941.35%603147640.85%1604103823136491039474

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8246SOW126348674925593308949944173110
All Games
GPWLOTWOTL SOWSOLGFGA
8217571133263408
Home Games
GPWLOTWOTL SOWSOLGFGA
4112240113135191
Visitor Games
GPWLOTWOTL SOWSOLGFGA
415331020128217
Last 10 Games
WLOTWOTL SOWSOL
160012
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3757419.73%3768278.19%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8458798183410778746
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1021246441.44%1236298941.35%603147640.85%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1604103823136491039474


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
2 - 2016-10-137Minnesota2Chiefs7LBoxScore
4 - 2016-10-1525IceCaps3Minnesota4WBoxScore
7 - 2016-10-1845Monarchs3Minnesota5WBoxScore
9 - 2016-10-2057Marlies5Minnesota6WBoxScore
11 - 2016-10-2266Minnesota3Spiders6LBoxScore
12 - 2016-10-2380Minnesota1Sound Tigers9LBoxScore
14 - 2016-10-2583Minnesota3Bruins7LBoxScore
16 - 2016-10-2798Minnesota3Crunch4LBoxScore
18 - 2016-10-29117Jayhawks8Minnesota2LBoxScore
21 - 2016-11-01133Crunch2Minnesota3WXXBoxScore
25 - 2016-11-05161Minnesota4Monsters5LBoxScore
30 - 2016-11-10204Minnesota2Manchots5LBoxScore
32 - 2016-11-12220Minnesota4Phantoms6LBoxScore
33 - 2016-11-13225Minnesota4Senators7LBoxScore
35 - 2016-11-15232Heat7Minnesota1LBoxScore
37 - 2016-11-17248Bruins6Minnesota4LBoxScore
39 - 2016-11-19262Monsters8Minnesota4LBoxScore
41 - 2016-11-21280Minnesota2Jayhawks6LBoxScore
43 - 2016-11-23293IceCaps7Minnesota2LBoxScore
45 - 2016-11-25310Manchots6Minnesota4LBoxScore
46 - 2016-11-26318Minnesota4Chiefs6LBoxScore
49 - 2016-11-29339Minnesota2Comets4LBoxScore
52 - 2016-12-02357Minnesota3Heat6LBoxScore
54 - 2016-12-04376Minnesota5Oil Kings6LBoxScore
57 - 2016-12-07391Minnesota5Marlies6LBoxScore
59 - 2016-12-09408Oil Kings3Minnesota4WBoxScore
61 - 2016-12-11424Chiefs4Minnesota2LBoxScore
63 - 2016-12-13434Cabaret Lady Mary Ann5Minnesota6WBoxScore
65 - 2016-12-15450Minnesota3Las Vegas7LBoxScore
67 - 2016-12-17461Chill5Minnesota0LBoxScore
70 - 2016-12-20488Monsters6Minnesota3LBoxScore
72 - 2016-12-22498Minnesota5Rocket10LBoxScore
73 - 2016-12-23510Minnesota5Wolf Pack7LBoxScore
77 - 2016-12-27522Minnesota6Las Vegas9LBoxScore
79 - 2016-12-29538Sound Tigers3Minnesota2LBoxScore
81 - 2016-12-31554Falcons4Minnesota3LBoxScore
86 - 2017-01-05584Minnesota1Sharks4LBoxScore
88 - 2017-01-07602Minnesota0Monarchs5LBoxScore
89 - 2017-01-08608Minnesota2Admirals6LBoxScore
93 - 2017-01-12628Rocket4Minnesota5WBoxScore
95 - 2017-01-14648Minnesota4Jayhawks6LBoxScore
96 - 2017-01-15652Minnesota4Baby Hawks6LBoxScore
98 - 2017-01-17667Spiders7Minnesota2LBoxScore
100 - 2017-01-19681Chill2Minnesota6WBoxScore
102 - 2017-01-21698Admirals8Minnesota6LBoxScore
103 - 2017-01-22707Las Vegas5Minnesota4LBoxScore
105 - 2017-01-24723Minnesota1Jayhawks4LBoxScore
107 - 2017-01-26733Chiefs9Minnesota2LBoxScore
112 - 2017-01-31742Minnesota1Oil Kings6LBoxScore
113 - 2017-02-01756Minnesota4Heat3WBoxScore
116 - 2017-02-04782Minnesota3Comets2WXBoxScore
119 - 2017-02-07799Minnesota5IceCaps1WBoxScore
120 - 2017-02-08801Baby Hawks6Minnesota2LBoxScore
122 - 2017-02-10813Thunder5Minnesota4LXXBoxScore
124 - 2017-02-12829Cougars3Minnesota4WBoxScore
126 - 2017-02-14840Admirals3Minnesota2LBoxScore
128 - 2017-02-16851Jayhawks1Minnesota3WBoxScore
130 - 2017-02-18865Las Vegas4Minnesota3LXBoxScore
133 - 2017-02-21889Baby Hawks2Minnesota6WBoxScore
139 - 2017-02-27921Monarchs5Minnesota3LBoxScore
140 - 2017-02-28932Minnesota2IceCaps1WBoxScore
142 - 2017-03-02940Minnesota3Falcons2WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
145 - 2017-03-05965Sharks7Minnesota2LBoxScore
147 - 2017-03-07977Chiefs4Minnesota1LBoxScore
149 - 2017-03-09993Minnesota4Thunder3WXXBoxScore
150 - 2017-03-10997Minnesota1Cabaret Lady Mary Ann4LBoxScore
152 - 2017-03-121012Minnesota2Baby Hawks4LBoxScore
154 - 2017-03-141030Minnesota4Bears3WBoxScore
156 - 2017-03-161042Minnesota3Caroline5LBoxScore
158 - 2017-03-181059Wolf Pack2Minnesota5WBoxScore
159 - 2017-03-191068Minnesota3IceCaps6LBoxScore
161 - 2017-03-211082Sharks4Minnesota1LBoxScore
163 - 2017-03-231097Phantoms4Minnesota3LXXBoxScore
165 - 2017-03-251105Comets4Minnesota6WBoxScore
166 - 2017-03-261119Minnesota4Cougars8LBoxScore
168 - 2017-03-281133Bears6Minnesota4LBoxScore
170 - 2017-03-301143Senators5Minnesota3LBoxScore
172 - 2017-04-011158Minnesota4Las Vegas7LBoxScore
173 - 2017-04-021171Monsters3Minnesota1LBoxScore
175 - 2017-04-041181Caroline3Minnesota2LXXBoxScore
177 - 2017-04-061204Minnesota1Monsters3LBoxScore
179 - 2017-04-081217Minnesota6Chill5WXXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance5904429639
Attendance PCT72.00%72.29%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2163 - 72.10% 61,247$2,511,125$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
1,677,800$ 1,677,800$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
2,270,554$ 9,270$ 1,767,843$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 12,032$ 0$




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
201682175701133263408-14541122400113135191-564153301020128217-89342634867491010778746255984587981834330894994417313757419.73%3768278.19%61021246441.44%1236298941.35%603147640.85%1604103823136491039474
Total Regular Season82175701133263408-14541122400113135191-564153301020128217-89342634867491010778746255984587981834330894994417313757419.73%3768278.19%61021246441.44%1236298941.35%603147640.85%1604103823136491039474