Wild

GP: 48 | W: 23 | L: 21 | OTL: 4 | P: 50
GF: 100 | GA: 101 | PP%: 15.53% | PK%: 84.90%
GM : Will Clements | Morale : 50 | Team Overall : 58
Next Games #736 vs Admirals
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
1Lance BoumaXX100.009069807378578359396057732567686550630
2Tyler GraovacX100.008078837278778261765760685750506550630
3Nicholas Merkley (R)XX100.007368836768686868806568656544446850620
4Connor BrickleyX100.008458877070627258316459712552526650610
5Christoph Bertschy (A)XX100.007266857166808659745657625444446350600
6Justin Kloos (R)XX100.006862816662747762785962615944446450600
7Zack MitchellX100.007643947068578353475964652547476550600
8Dominic TurgeonX100.007873896673828858735358655544446350600
9Filip Chlapik (R)X100.007543937772568163636257532546466250590
10Mathias BauXX100.009090916590646755504858705544446250590
11Trevor Moore (R)X100.007062896662747858505656615344446150580
12David WarsofskyX100.005740997361638062256547772549496350630
13Brady AustinX100.008485826785788550254541663944445750620
14Gustav OlofssonX100.006742897374607360255547702549496050620
15Mike ReillyX100.006941867758668270256348612556566150620
16Carson Soucy (R)X100.008480926480667147254039653744445450590
Scratches
1Ben SmithXX100.007870956570737665806165666244446750620
2Evan Polei (R)XX100.008582916782727849614745664344445650570
3Anthony LouisXX100.006653966753595961766157595444446150570
4Tanner MacMaster (R)X100.007062886562545262786257625444446150570
5Antoine Waked (R)X100.007470846770748148504348604644445650550
6Zac DalpeXX100.006591706675486257425055532559605650550
7Radel Fazleev (R)XX100.007366906366737951645146604444445650550
8Kurtis GabrielX100.007880726580586149504646624444445450540
9Jordan Maletta (R)X100.007780706280646948604744624244445350540
10Zach Nastasiuk (R)XX100.007971996571555749614646634444445550540
11Alex Dostie (R)X100.007162916662636750634946594444445550540
12Reid Duke (R)X100.007670896570505244553844604244445150510
13Chase Lang (R)XX100.007469865869444447594444604244445150500
14Taylor ChorneyX100.007143897771614753255148752561626050620
15Jake KulevichX100.008181825781565755255343654144445550580
16Nick DeSimone (R)X100.007972956572626650254143634144445450570
17Hunter Warner (R)X100.008283806583596344253439633744445150570
18Jake CheliosX100.007170726170697450454242594044445250560
19Jeremy Roy (R)X100.007568906768434251254642614044445350540
TEAM AVERAGE100.00756787677163705550525164424747595058
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
1Michael McNiven (R)100.00516986794652505648483044445250540
Scratches
1Nick Ellis100.00515670684953505651513044445250530
2Zachary Fucale100.00516379744751505648483044445250530
TEAM AVERAGE100.0051637874475250564949304444525053
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rick Tocchet94685788664369CAN5231,000,000$


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
1David WarsofskyWild (MIN)D48102636-32206189905311.11%51110322.989918751710002116010.00%000000.6500000924
2Gustav OlofssonWild (MIN)D4871724-2402549844158.33%4292919.364812721470000127100.00%000000.5200000121
3Lance BoumaWild (MIN)C/LW4819524-760015512312041315.83%969414.4743723630001141145.64%67700000.6935000373
4Brady AustinWild (MIN)D4871219-49410113466151211.48%3190818.926410511510000100300.00%000000.4200002220
5Mike ReillyWild (MIN)D4821214-3380776022119.09%2476015.840111244000021200.00%000000.3700000113
6Ben SmithWild (MIN)LW/RW1856111175383470007.14%234419.131232265000001080.00%1500000.6413001131
7Zack MitchellWild (MIN)RW483710260253653095.66%24308.9601111000091032.26%3100000.4600000022
8Tyler GraovacWild (MIN)C4863921204362543911.11%24288.92000000001162161.81%41900000.4203000132
9Christoph BertschyWild (MIN)C/RW4832521802835240312.50%22054.2900000000000042.86%1400000.4900000011
10Matt BenningWildD18055-4140521319000.00%941823.220441892000038000.00%000000.2400000000
11Taylor ChorneyWild (MIN)D31145-4240352170014.29%1345014.5401102000146000.00%000000.2200000100
12Dominic TurgeonWild (MIN)C48202220136110018.18%0481.0120259000012050.00%400000.8300000010
13Cory ConacherWildLW/RW4000040258000.00%05714.43000290000000100.00%200000.0000000000
Team Total or Average5036599164-1831515667579623226510.43%187677913.48263359281758000549213351.64%116200000.48411003192417
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
1David RittichWild2012710.9101.58121324323540000.8899200124
2Michael McNivenWild (MIN)28111430.8922.31166122645920210.636112848312
Team Total or Average48232140.8992.00287446969460210.750204848436


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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alex DostieWild (MIN)C211997-04-13Yes165 Lbs5 ft10NoNoNo3ELCPro & Farm600,000$0$0$NoLink
Anthony LouisWild (MIN)C/LW231995-02-10No151 Lbs5 ft7NoNoNo2ELCPro & Farm500,000$0$0$NoLink
Antoine WakedWild (MIN)RW221996-05-17Yes194 Lbs6 ft0NoNoNo2ELCPro & Farm750,000$0$0$NoLink
Ben SmithWild (MIN)LW/RW301988-07-10No198 Lbs5 ft11NoNoNo1UFAPro & Farm750,000$0$0$NoLink
Brady AustinWild (MIN)D251993-06-15No230 Lbs6 ft4NoNoNo2ELCPro & Farm700,000$0$0$NoLink
Carson SoucyWild (MIN)D241994-07-24Yes212 Lbs6 ft4NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Chase LangWild (MIN)C/RW221996-09-13Yes191 Lbs6 ft1NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Christoph BertschyWild (MIN)C/RW241994-04-04No186 Lbs5 ft10NoNoNo1ELCPro & Farm500,000$0$0$NoLink
Connor BrickleyWild (MIN)C261992-02-25No203 Lbs6 ft0NoNoNo4ELCPro & Farm750,000$0$0$NoLink
David WarsofskyWild (MIN)D281990-05-30No170 Lbs5 ft9NoNoNo2UFAPro & Farm800,000$0$0$NoLink
Dominic TurgeonWild (MIN)C221996-02-24No196 Lbs6 ft2NoNoNo2ELCPro & Farm750,000$0$0$NoLink
Evan PoleiWild (MIN)C/LW221996-02-19Yes227 Lbs6 ft2NoNoNo1ELCPro & Farm700,000$0$0$NoLink
Filip ChlapikWild (MIN)C211997-06-03Yes196 Lbs6 ft1NoNoNo3ELCPro & Farm800,000$0$0$NoLink
Gustav OlofssonWild (MIN)D241994-11-30No195 Lbs6 ft3NoNoNo1ELCPro & Farm800,000$0$0$NoLink
Hunter WarnerWild (MIN)D231995-09-21Yes223 Lbs6 ft4NoNoNo2ELCPro & Farm637,000$0$0$NoLink
Jake CheliosWild (MIN)D271991-03-08No185 Lbs6 ft2NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Jake KulevichWild (MIN)D251993-02-13No216 Lbs6 ft4NoNoNo1ELCPro & Farm700,000$0$0$NoLink
Jeremy RoyWild (MIN)D211997-05-14Yes185 Lbs6 ft0NoNoNo3ELCPro & Farm850,000$0$0$NoLink
Jordan MalettaWild (MIN)C231995-04-29Yes220 Lbs6 ft3NoNoNo3ELCPro & Farm792,500$0$0$NoLink
Justin KloosWild (MIN)C/RW251993-11-30Yes179 Lbs5 ft9NoNoNo2ELCPro & Farm850,000$0$0$NoLink
Kurtis GabrielWild (MIN)RW251993-04-20No211 Lbs6 ft4NoNoNo3ELCPro & Farm715,000$0$0$NoLink
Lance BoumaWild (MIN)C/LW281990-03-25No208 Lbs6 ft2NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink
Mathias BauWild (MIN)LW/RW251993-07-03No238 Lbs6 ft7NoNoNo1ELCPro & Farm700,000$0$0$NoLink
Michael McNivenWild (MIN)G211997-07-09Yes221 Lbs6 ft1NoNoNo2ELCPro & Farm750,000$0$0$NoLink
Mike ReillyWild (MIN)D251993-07-12No193 Lbs6 ft2NoNoNo1ELCPro & Farm650,000$0$0$NoLink
Nicholas MerkleyWild (MIN)C/RW211997-05-23Yes194 Lbs5 ft10NoNoNo3ELCPro & Farm900,000$0$0$NoLink
Nick DeSimoneWild (MIN)D241994-11-21Yes188 Lbs6 ft2NoNoNo3ELCPro & Farm925,000$0$0$NoLink
Nick EllisWild (MIN)G251994-01-17No180 Lbs6 ft1NoNoNo3ELCPro & Farm650,000$0$0$NoLink
Radel FazleevWild (MIN)C/LW231996-01-06Yes176 Lbs6 ft1NoNoNo2ELCPro & Farm575,000$0$0$NoLink
Reid DukeWild (MIN)C221996-01-28Yes191 Lbs6 ft0NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Tanner MacMasterWild (MIN)C231996-01-08Yes172 Lbs5 ft10NoNoNo2ELCPro & Farm800,000$0$0$NoLink
Taylor ChorneyWild (MIN)D311987-04-26No191 Lbs6 ft0NoNoNo2UFAPro & Farm750,000$0$0$NoLink
Trevor MooreWild (MIN)LW231995-03-31Yes170 Lbs5 ft10NoNoNo3ELCPro & Farm950,000$0$0$NoLink
Tyler GraovacWild (MIN)C251993-04-26No212 Lbs6 ft5NoNoNo3ELCPro & Farm625,000$0$0$NoLink
Zac DalpeWild (MIN)C/RW291989-10-31No199 Lbs6 ft2NoNoNo2UFAPro & Farm850,000$0$0$NoLink
Zach NastasiukWild (MIN)C/RW231995-03-29Yes190 Lbs6 ft1NoNoNo1ELCPro & Farm800,000$0$0$NoLink
Zachary FucaleWild (MIN)G231995-05-27No187 Lbs6 ft2NoNoNo1ELCPro & Farm850,000$0$0$NoLink
Zack MitchellWild (MIN)RW261993-01-06No185 Lbs6 ft0NoNoNo1ELCPro & Farm660,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3824.21195 Lbs6 ft12.11724,461$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Lance Bouma30122
3Tyler GraovacZack Mitchell20122
4Christoph Bertschy10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1David Warsofsky40122
2Gustav OlofssonBrady Austin30122
3Mike Reilly20122
4David Warsofsky10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Lance Bouma40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1David Warsofsky60122
2Gustav OlofssonBrady Austin40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Lance BoumaTyler Graovac40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1David Warsofsky60122
2Gustav OlofssonBrady Austin40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122David Warsofsky60122
240122Gustav OlofssonBrady Austin40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Lance BoumaTyler Graovac40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1David Warsofsky60122
2Gustav OlofssonBrady Austin40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
David Warsofsky
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
David Warsofsky
Extra Forwards
Normal PowerPlayPenalty Kill
Dominic Turgeon, , Zack MitchellDominic Turgeon, Zack Mitchell
Extra Defensemen
Normal PowerPlayPenalty Kill
Mike Reilly, , Gustav OlofssonMike Reilly, Gustav Olofsson
Penalty Shots
, , Lance Bouma, Tyler Graovac,
Goalie
#1 : , #2 : Michael McNiven


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
1Admirals2020000024-2000000000002020000024-200.000235004331198363503443213428923451119.09%8187.50%0671135549.52%575120047.92%33265750.53%12609141095327566291
2Americans2010010057-21010000034-11000010023-110.25059140043311985835034432134488123110220.00%6266.67%0671135549.52%575120047.92%33265750.53%12609141095327566291
3Barracuda1010000002-21010000002-20000000000000.0000000043311982335034432134275622600.00%3233.33%0671135549.52%575120047.92%33265750.53%12609141095327566291
4Bears11000000312000000000001100000031221.00035800433119823350344321341726156116.67%20100.00%0671135549.52%575120047.92%33265750.53%12609141095327566291
5Bruins3010001145-1100000103212010000113-230.5004590043311986735034432134491838618112.50%17288.24%1671135549.52%575120047.92%33265750.53%12609141095327566291
6Checkers3120000046-2000000000003120000046-220.33348120043311985635034432134621920551119.09%10370.00%0671135549.52%575120047.92%33265750.53%12609141095327566291
7Comets3030000049-52020000015-41010000034-100.000481200433119854350344321346518365610110.00%16475.00%0671135549.52%575120047.92%33265750.53%12609141095327566291
8Condors5220001012111320000109542020000036-360.600122234004331198101350344321349022528224520.83%23386.96%0671135549.52%575120047.92%33265750.53%12609141095327566291
9Crunch211000006421010000014-31100000050520.500611170143311984835034432134381084311218.18%4175.00%0671135549.52%575120047.92%33265750.53%12609141095327566291
10Devils1010000013-2000000000001010000013-200.00012300433119817350344321341681018300.00%50100.00%0671135549.52%575120047.92%33265750.53%12609141095327566291
11Griffins3120000068-21010000013-22110000055020.3336111701433119861350344321346917306112325.00%13469.23%0671135549.52%575120047.92%33265750.53%12609141095327566291
12Gulls21000010624110000004131000001021141.000681400433119866350344321342311104512216.67%4175.00%0671135549.52%575120047.92%33265750.53%12609141095327566291
13Heat22000000725000000000002200000072541.00071118014331198433503443213445712298225.00%60100.00%0671135549.52%575120047.92%33265750.53%12609141095327566291
14IceCaps10000010321000000000001000001032121.00034700433119814350344321342351020200.00%50100.00%0671135549.52%575120047.92%33265750.53%12609141095327566291
15Icehogs21100000752110000004041010000035-220.500710171143311985235034432134409334411218.18%11281.82%0671135549.52%575120047.92%33265750.53%12609141095327566291
16Marlies11000000101110000001010000000000021.00012301433119819350344321342181220400.00%60100.00%0671135549.52%575120047.92%33265750.53%12609141095327566291
17Moose11000000312000000000001100000031221.00036900433119830350344321342556217228.57%30100.00%0671135549.52%575120047.92%33265750.53%12609141095327566291
18Pirates3120000057-23120000057-20000000000020.333591400433119874350344321346222246215213.33%100100.00%0671135549.52%575120047.92%33265750.53%12609141095327566291
19Rampage20002000422100010002111000100021141.0004711004331198273503443213449142049900.00%90100.00%0671135549.52%575120047.92%33265750.53%12609141095327566291
20Sound Tigers2010000113-22010000113-20000000000010.2501230043311984435034432134315103010110.00%5180.00%0671135549.52%575120047.92%33265750.53%12609141095327566291
21Stars11000000321000000000001100000032121.000358004331198193503443213418713137228.57%3166.67%0671135549.52%575120047.92%33265750.53%12609141095327566291
Total48162103143100101-123710020224449-5259110112156524500.5211001702701543311981030350344321349592594469322193415.53%1922984.90%1671135549.52%575120047.92%33265750.53%12609141095327566291
23Wolves32001000963210010005321100000043161.0009162500433119854350344321346420326114321.43%14285.71%0671135549.52%575120047.92%33265750.53%12609141095327566291
24Wolves2010000149-52010000149-50000000000010.25046100043311984435034432134491023498112.50%90100.00%0671135549.52%575120047.92%33265750.53%12609141095327566291
_Since Last GM Reset48162103143100101-123710020224449-5259110112156524500.5211001702701543311981030350344321349592594469322193415.53%1922984.90%1671135549.52%575120047.92%33265750.53%12609141095327566291
_Vs Conference351216031217680-41767020113537-21869011104143-2360.51476131207144331198712350344321347331953526771562516.03%1492285.23%0671135549.52%575120047.92%33265750.53%12609141095327566291

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4850W4100170270103095925944693215
All Games
GPWLOTWOTL SOWSOLGFGA
4816213143100101
Home Games
GPWLOTWOTL SOWSOLGFGA
2371020224449
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2591111215652
Last 10 Games
WLOTWOTL SOWSOL
450010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2193415.53%1922984.90%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
350344321344331198
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
671135549.52%575120047.92%33265750.53%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12609141095327566291


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
1 - 2018-10-023Wild3Stars2WBoxScore
3 - 2018-10-0419Pirates3Wild0LBoxScore
5 - 2018-10-0633Wild0Checkers1LBoxScore
7 - 2018-10-0851Condors1Wild3WBoxScore
11 - 2018-10-1274Wolves2Wild3WXBoxScore
13 - 2018-10-1494Wild1Bruins2LBoxScore
15 - 2018-10-16101Wild2Rampage1WXBoxScore
16 - 2018-10-17116Icehogs0Wild4WBoxScore
19 - 2018-10-20136Gulls1Wild4WBoxScore
21 - 2018-10-22150Wild2Heat0WBoxScore
23 - 2018-10-24167Wild3IceCaps2WXXBoxScore
25 - 2018-10-26178Condors3Wild4WXXBoxScore
27 - 2018-10-28192Wild4Griffins0WBoxScore
29 - 2018-10-30205Wild1Admirals2LBoxScore
31 - 2018-11-01216Sound Tigers2Wild1LXXBoxScore
33 - 2018-11-03237Crunch4Wild1LBoxScore
35 - 2018-11-05251Wild5Crunch0WBoxScore
37 - 2018-11-07264Wolves1Wild2WBoxScore
40 - 2018-11-10283Wild1Griffins5LBoxScore
42 - 2018-11-12297Sound Tigers1Wild0LBoxScore
44 - 2018-11-14313Wild0Bruins1LXXBoxScore
46 - 2018-11-16328Wolves5Wild1LBoxScore
49 - 2018-11-19352Pirates3Wild2LBoxScore
51 - 2018-11-21368Wild1Checkers3LBoxScore
53 - 2018-11-23380Wild3Bears1WBoxScore
55 - 2018-11-25390Wild1Devils3LBoxScore
56 - 2018-11-26402Condors1Wild2WBoxScore
59 - 2018-11-29421Comets2Wild1LBoxScore
61 - 2018-12-01432Wild3Comets4LBoxScore
63 - 2018-12-03453Wild3Icehogs5LBoxScore
65 - 2018-12-05461Comets3Wild0LBoxScore
68 - 2018-12-08485Wild1Admirals2LBoxScore
69 - 2018-12-09492Bruins2Wild3WXXBoxScore
72 - 2018-12-12514Wild3Checkers2WBoxScore
73 - 2018-12-13522Rampage1Wild2WXBoxScore
76 - 2018-12-16541Wild2Americans3LXBoxScore
77 - 2018-12-17552Wolves4Wild3LXXBoxScore
80 - 2018-12-20571Wild3Moose1WBoxScore
82 - 2018-12-22584Americans4Wild3LBoxScore
85 - 2018-12-25600Wild1Condors2LBoxScore
87 - 2018-12-27612Griffins3Wild1LBoxScore
89 - 2018-12-29632Wild2Condors4LBoxScore
91 - 2018-12-31644Barracuda2Wild0LBoxScore
93 - 2019-01-02661Wild2Gulls1WXXBoxScore
95 - 2019-01-04674Pirates1Wild3WBoxScore
97 - 2019-01-06695Wild5Heat2WBoxScore
98 - 2019-01-07702Wild4Wolves3WBoxScore
100 - 2019-01-09712Marlies0Wild1WBoxScore
103 - 2019-01-12736Admirals-Wild-
105 - 2019-01-14750Wild-Pirates-
107 - 2019-01-16767Heat-Wild-
109 - 2019-01-18783Wild-Stars-
111 - 2019-01-20798Monsters-Wild-
113 - 2019-01-22811Wild-Rampage-
115 - 2019-01-24828IceCaps-Wild-
117 - 2019-01-26841Wild-Stars-
119 - 2019-01-28853Wild-Americans-
121 - 2019-01-30864Marlies-Wild-
123 - 2019-02-01883Wild-Wolf Pack-
124 - 2019-02-02894Icehogs-Wild-
126 - 2019-02-04911Wild-Pirates-
128 - 2019-02-06921Wild-Reign-
129 - 2019-02-07930Gulls-Wild-
133 - 2019-02-11956Senators-Wild-
136 - 2019-02-14977Wild-IceCaps-
138 - 2019-02-16989Stars-Wild-
139 - 2019-02-17999Wild-Marlies-
142 - 2019-02-201016Wild-Wolves-
143 - 2019-02-211022Penguins-Wild-
Trade Deadline --- Trades can’t be done after this day is simulated!
147 - 2019-02-251052Stars-Wild-
148 - 2019-02-261060Wild-Marlies-
152 - 2019-03-021081Falcons-Wild-
156 - 2019-03-061108Phantoms-Wild-
160 - 2019-03-101136Checkers-Wild-
163 - 2019-03-131149Wild-Rampage-
167 - 2019-03-171177Checkers-Wild-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
15 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,299,413$ 2,752,950$ 2,762,950$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,689,840$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 67 22,207$ 1,487,869$




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
201848162103143100101-123710020224449-5259110112156524501001702701543311981030350344321349592594469322193415.53%1922984.90%1671135549.52%575120047.92%33265750.53%12609141095327566291
Total Regular Season48162103143100101-123710020224449-5259110112156524501001702701543311981030350344321349592594469322193415.53%1922984.90%1671135549.52%575120047.92%33265750.53%12609141095327566291