Monsters

GP: 68 | W: 33 | L: 27 | OTL: 8 | P: 74
GF: 185 | GA: 149 | PP%: 15.41% | PK%: 85.16%
GM : Patrick Auger | Morale : 50 | Team Overall : 62
Next Games #1046 vs Bears

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
1Casey MittelstadtX100.006239886677818364716362656663658750640
2Brendan LeipsicX100.007042866568748763546659566371676350620
3Eric RobinsonX100.007243886181777560545859576169675150610
4Daniel AudetteX100.005549856164889059716057546167645350600
5Brayden BurkeX100.005045886355878562646159536265636250600
6David KaseX100.005739836266797660545958615965645850600
7Ryan HaggertyX100.006151865774848756535558595773675850600
8Max VeronneauX100.006138875976737260545758615669645650600
9Jonah GadjovichX100.006849846082797758515357595863597150590
10Jake Leschyshyn (R)X100.005142885558878854605153525561636850560
11Logan DayX100.006649856179858659305855574671665950630
12Leon Gawanke (R)X100.005945886075838258306153564861635750610
13Josiah DidierX100.006658765681858355305453574573675350610
14Kyle BurroughsX100.005961765672878954305353574569755950610
15Jeremy RoyX100.006046875873818556305553574665627850600
16Brennan MenellX100.005643896068827559306457585465635250600
Scratches
TEAM AVERAGE100.00614685607282835948585757556765625061
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
1Marcus Hogberg100.00737573917271737271737271756250720
2Filip Gustavsson100.00697775776867696867696863677150670
Scratches
TEAM AVERAGE100.0071767484706971706971706771675070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd McLellan81817781787371CAN5245,000,000$


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 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
1Brayden BurkeMonsters (Clb)LW682534592324038872145415111.68%6136820.1277144723100031455457.14%9800010.8600000623
2Daniel AudetteMonsters (Clb)C681538532345587128179521468.38%8142921.02313163725400051731058.81%146400000.7413001445
3Casey MittelstadtMonsters (Clb)C57133043724068164221591365.88%22136023.88511163921400022744161.62%176400000.6316000231
4Eric RobinsonMonsters (Clb)LW68182442766014490193551459.33%12154722.7567134325500062711150.68%14800000.5447000314
5David KaseMonsters (Clb)RW68261642828065751975513113.20%11115516.99771434199000043158.97%7800000.7303000561
6Ryan HaggertyMonsters (Clb)RW6817244118581010775174441439.77%8120617.75551046250000016143.66%7100010.6800101432
7Leon GawankeMonsters (Clb)D689283712520635480265611.25%76161623.7861016502680002280300.00%000000.4600000142
8Max VeronneauMonsters (Clb)RW68171633114005776176531069.66%9112516.56213139900041013263.04%9200000.5900000204
9Josiah DidierMonsters (Clb)D681022321810351134372275013.89%59144921.3241115462520000232100.00%000000.4400010052
10Kyle BurroughsMonsters (Clb)D6852530221245079456723577.46%69149021.924812372550004269000.00%000000.4000433112
11Logan DayMonsters (Clb)D68324271214430111538429663.57%85159623.4711011562740000263010.00%000000.3400312001
12Brennan MenellMonsters (Clb)D68222241140046412613187.69%4499514.63000113000073000.00%000000.4800000021
13Jonah GadjovichMonsters (Clb)LW6810122296810906914243927.04%782512.150002110000361053.70%5400000.5300110103
14Jake LeschyshynMonsters (Clb)C6841216134020775720507.02%791113.41000380000350053.61%87300000.3500000101
15Jeremy RoyMonsters (Clb)D68491398610713627191714.81%49105315.49022525000096310.00%000000.2500011012
16Brendan LeipsicMonsters (Clb)LW13281016026193911265.13%128321.840445410000550065.52%2900000.7002000120
17Nick CousinsColumbus JacketsC/RW532526013132822410.71%011823.741122180003180166.39%11900000.8411000001
Team Total or Average102718334652920691812011981145197658514149.26%4731953419.0251971484662675000292332311358.64%479000020.54722978313435
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
1Marcus HogbergMonsters (Clb)68332780.9092.1240702614415770000.59122680522
2Filip GustavssonMonsters (Clb)20001.0000.0053000140000.0000068000
Team Total or Average70332780.9092.1041242614415910000.591226868522


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
Brayden BurkeLW241997-01-01No165 Lbs5 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Brendan LeipsicLW261994-05-19No180 Lbs5 ft11NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Brennan MenellD231997-05-24No177 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Casey MittelstadtC221998-11-22No199 Lbs6 ft1NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Daniel AudetteC241996-05-06No176 Lbs5 ft8NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
David KaseRW231997-01-28No169 Lbs5 ft11NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Eric RobinsonLW251995-06-14No197 Lbs6 ft2NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Filip GustavssonG221998-06-07No184 Lbs6 ft2NoNoNo2ELCPro & Farm500,000$0$0$NoLink / NHL Link
Jake LeschyshynC211999-03-10Yes185 Lbs5 ft1NoNoNo4ELCPro & Farm300,000$0$0$NoNHL Link
Jeremy RoyD231997-05-14No195 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jonah GadjovichLW221998-12-10No209 Lbs6 ft2NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Josiah DidierD271993-04-08No202 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Kyle BurroughsD251995-07-12No198 Lbs5 ft11NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Leon GawankeD211999-05-31Yes186 Lbs6 ft1NoNoNo4ELCPro & Farm300,000$0$0$NoNHL Link
Logan DayD261994-09-19No209 Lbs6 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Marcus HogbergG261994-11-25No209 Lbs6 ft5NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Max VeronneauRW251995-12-12No193 Lbs6 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ryan HaggertyRW271993-03-04No200 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1824.00191 Lbs5 ft112.78388,889$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Eric RobinsonDavid Kase40122
2Brayden BurkeDaniel AudetteRyan Haggerty30122
3Jonah GadjovichJake LeschyshynMax Veronneau20122
4Eric RobinsonDavid Kase10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan DayLeon Gawanke40122
2Josiah DidierKyle Burroughs30122
3Jeremy RoyBrennan Menell20122
4Logan DayLeon Gawanke10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Eric RobinsonDavid Kase60122
2Brayden BurkeDaniel AudetteRyan Haggerty40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan DayLeon Gawanke60122
2Josiah DidierKyle Burroughs40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Eric Robinson60122
2Daniel AudetteBrayden Burke40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan DayLeon Gawanke60122
2Josiah DidierKyle Burroughs40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Logan DayLeon Gawanke60122
2Daniel Audette40122Josiah DidierKyle Burroughs40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Eric Robinson60122
2Daniel AudetteBrayden Burke40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan DayLeon Gawanke60122
2Josiah DidierKyle Burroughs40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Eric RobinsonDavid KaseLogan DayLeon Gawanke
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Eric RobinsonDavid KaseLogan DayLeon Gawanke
Extra Forwards
Normal PowerPlayPenalty Kill
Max Veronneau, Brayden Burke, Daniel AudetteMax Veronneau, Brayden BurkeMax Veronneau
Extra Defensemen
Normal PowerPlayPenalty Kill
Kyle Burroughs, Jeremy Roy, Brennan MenellKyle BurroughsKyle Burroughs, Jeremy Roy
Penalty Shots
, Eric Robinson, David Kase, Ryan Haggerty, Max Veronneau
Goalie
#1 : Marcus Hogberg, #2 : Filip Gustavsson


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6874L118534753219781591476920119906
All Games
GPWLOTWOTL SOWSOLGFGA
6828273325185149
Home Games
GPWLOTWOTL SOWSOLGFGA
33171211119563
Visitor Games
GPWLOTWOTL SOWSOLGFGA
35111522149086
Last 10 Games
WLOTWOTL SOWSOL
350011
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3315115.41%3645485.16%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
6426306795074624410
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1279217758.75%1075194455.30%55493859.06%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
182413221491468812419


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 - 2020-10-181Monsters2Reign0WBoxScore
3 - 2020-10-2020Moose2Monsters6WBoxScore
4 - 2020-10-2130Monsters3Barracuda4LXXBoxScore
6 - 2020-10-2351Sound Tigers3Monsters5WBoxScore
7 - 2020-10-2460Monsters2Barracuda4LBoxScore
8 - 2020-10-2581Wild1Monsters3WBoxScore
9 - 2020-10-2684Monsters4Bears3WBoxScore
13 - 2020-10-30111Monsters2Devils3LXXBoxScore
14 - 2020-10-31123Phantoms3Monsters1LBoxScore
15 - 2020-11-01132Monsters1Penguins3LBoxScore
17 - 2020-11-03150Moose3Monsters7WBoxScore
21 - 2020-11-07174Monsters1Bears3LBoxScore
22 - 2020-11-08185Senators2Monsters0LBoxScore
26 - 2020-11-12204Marlies2Monsters0LBoxScore
28 - 2020-11-14218Monsters7Reign1WBoxScore
29 - 2020-11-15233Monsters3Crunch2WXBoxScore
32 - 2020-11-18245Roadrunners4Monsters3LXBoxScore
33 - 2020-11-19261Monsters2Roadrunners1WXXBoxScore
34 - 2020-11-20275Wolves2Monsters1LBoxScore
37 - 2020-11-23294Sound Tigers2Monsters0LBoxScore
39 - 2020-11-25306Monsters0Comets1LBoxScore
40 - 2020-11-26326Stars3Monsters2LBoxScore
43 - 2020-11-29331Monsters2Phantoms1WBoxScore
45 - 2020-12-01352Monsters5IceHogs2WBoxScore
46 - 2020-12-02366Rampage3Monsters2LBoxScore
48 - 2020-12-04380Monsters1Heat3LBoxScore
51 - 2020-12-07393Monsters2Rampage3LXBoxScore
52 - 2020-12-08400Reign1Monsters7WBoxScore
55 - 2020-12-11427Marlies1Monsters3WBoxScore
57 - 2020-12-13438Monsters0Phantoms2LBoxScore
58 - 2020-12-14456Heat3Monsters2LXXBoxScore
59 - 2020-12-15467Monsters0Sound Tigers2LBoxScore
62 - 2020-12-18483Monsters4Stars3WXBoxScore
63 - 2020-12-19496Comets1Monsters2WBoxScore
65 - 2020-12-21518Roadrunners0Monsters2WBoxScore
67 - 2020-12-23531Monsters3Bruins4LBoxScore
72 - 2020-12-28554Gulls1Monsters4WBoxScore
75 - 2020-12-31574Wild3Monsters6WBoxScore
77 - 2021-01-02586Monsters7Moose0WBoxScore
79 - 2021-01-04603Barracuda0Monsters2WBoxScore
81 - 2021-01-06617Monsters2Crunch3LBoxScore
82 - 2021-01-07630Monsters1Senators4LBoxScore
85 - 2021-01-10644Gulls2Monsters4WBoxScore
87 - 2021-01-12662Monsters3Condors2WBoxScore
89 - 2021-01-14672Americans4Monsters2LBoxScore
94 - 2021-01-19698Monsters2Bears4LBoxScore
95 - 2021-01-20706Devils1Monsters3WBoxScore
97 - 2021-01-22729Condors0Monsters6WBoxScore
99 - 2021-01-24740Monsters2Rocket3LBoxScore
101 - 2021-01-26754Monsters7Eagles2WBoxScore
102 - 2021-01-27769Moose1Monsters6WBoxScore
104 - 2021-01-29783Monsters1Wolves3LBoxScore
106 - 2021-01-31799Eagles3Monsters4WBoxScore
109 - 2021-02-03819Monsters1Thunderbirds2LXBoxScore
110 - 2021-02-04829Wolf Pack1Monsters2WXBoxScore
112 - 2021-02-06837Monsters1Devils2LXXBoxScore
117 - 2021-02-11859Monsters3Barracuda2WBoxScore
118 - 2021-02-12869Rocket4Monsters1LBoxScore
120 - 2021-02-14888Checkers2Monsters1LBoxScore
124 - 2021-02-18910Monsters2Checkers3LXXBoxScore
126 - 2021-02-20922Crunch2Monsters1LBoxScore
128 - 2021-02-22938Monsters4Griffins3WBoxScore
129 - 2021-02-23953Phantoms1Monsters2WXXBoxScore
132 - 2021-02-26970Monsters1Penguins4LBoxScore
133 - 2021-02-27984Admirals2Monsters1LBoxScore
135 - 2021-03-011005Monsters7Reign1WBoxScore
136 - 2021-03-021015Thunderbirds0Monsters4WBoxScore
138 - 2021-03-041033Monsters2Admirals3LBoxScore
140 - 2021-03-061046Bears-Monsters-
143 - 2021-03-091066Monsters-Wild-
144 - 2021-03-101077Senators-Monsters-
148 - 2021-03-141100Penguins-Monsters-
Trade Deadline --- Trades can’t be done after this day is simulated!
153 - 2021-03-191128Bruins-Monsters-
155 - 2021-03-211141Monsters-Americans-
157 - 2021-03-231161Bruins-Monsters-
158 - 2021-03-241172Monsters-Wolf Pack-
160 - 2021-03-261190Thunderbirds-Monsters-
161 - 2021-03-271199Monsters-Marlies-
168 - 2021-04-031225IceHogs-Monsters-
169 - 2021-04-041243Griffins-Monsters-
172 - 2021-04-071251Monsters-Gulls-
174 - 2021-04-091263Monsters-Wolf Pack-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance62,06530,838
Attendance PCT94.04%93.45%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
8 2815 - 93.84% 70,263$2,318,663$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,949,971$ 70,000$ 5,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 51,618$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
562,100$ 39 28,644$ 1,117,116$




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
12825322021312921741184126120102015187644127100111114187541182925328242901238579251208258688101662505138418105338315.57%5727087.76%91707271062.99%1238224555.14%709116360.96%237217381629547947509
13764621011342421509238211200113115744138259010211277651105242417659112092786820700668676715147144598814065299517.96%4315487.47%61490244360.99%1204208657.72%659104563.06%213515611561528899478
147642220314427115611538231101012137766138191102132134805410327148475511101127775229907587477731757503112314523345416.17%4315687.01%41366241056.68%1321230557.31%640110957.71%204314781655527908469
156828270332518514936331712011119563323511150221490864741853475320674624410197864263067950159147692011993315115.41%3645485.16%01279217758.75%1075194455.30%55493859.06%182413221491468812419
Total Regular Season302169920961214990629361150874703256498300198152824506478492329163400990178027704387438928423288596422881297023486481192944155867172728316.39%179823486.99%195842974059.98%4838858056.39%2562425560.21%837661016337207235681877
Playoff
122016400000491930108200000219121082000002810183249831320601218174660143156146405121392396141149.93%1661093.98%338167356.61%36566654.80%16827960.22%509338516168266131
13514000001012-2211000005323030000059-4210172700053295038263112245807533515.15%36586.11%05813842.03%6416339.26%407652.63%10871129386230
141899000003743-61037000001026-16862000002717101837691060201610945201731271344371222623861071312.15%1161487.93%128158148.36%30161548.94%12625848.84%455313458143242118
Total Playoff43261700000967422221210000003638-221147000006036245296169265080333128101303543093119642887348572813211.39%3182990.88%4720139251.72%730144450.55%33461354.49%10737231104350570280