Out of Date Version of the STHS! Please update your version!
Login

Monsters
GP: 25 | W: 13 | L: 12
GF: 81 | GA: 80 | PP%: 19.70% | PK%: 84.00%
GM : Paul-André Desrochers | Morale : 50 | Team Overall : 57
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Sharks
16-6-0, 32pts
4
FINAL
2 Monsters
13-12-0, 26pts
Team Stats
W3StreakL3
8-4-0Home Record6-6-0
8-2-0Away Record7-6-0
8-1-1Last 10 Games3-6-1
3.91Goals Per Game3.24
3.32Goals Against Per Game3.20
21.13%Power Play Percentage19.70%
79.63%Penalty Kill Percentage84.00%
Monsters
13-12-0, 26pts
4
FINAL
5 Sharks
16-6-0, 32pts
Team Stats
L3StreakW3
6-6-0Home Record8-4-0
7-6-0Away Record8-2-0
3-6-1Last 10 Games8-1-1
3.24Goals Per Game3.91
3.20Goals Against Per Game3.32
19.70%Power Play Percentage21.13%
84.00%Penalty Kill Percentage79.63%
Team Leaders
Goals
Otto Koivula
12
Assists
Peyton Krebs
16
Points
Otto Koivula
26
Plus/Minus
Aliaksei Protas
6
Wins
Jon Gillies
13
Save Percentage
Jon Gillies
0.919

Team Stats
Goals For
81
3.24 GFG
Shots For
935
37.40 Avg
Power Play Percentage
19.7%
13 GF
Offensive Zone Start
40.6%
Goals Against
80
3.20 GAA
Shots Against
977
39.08 Avg
Penalty Kill Percentage
84.0%%
12 GA
Defensive Zone Start
40.5%
Team Info

General ManagerPaul-André Desrochers
DivisionNord
ConferenceOuest
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,998
Season Tickets300


Roster Info

Pro Team24
Farm Team22
Contract Limit46 / 50
Prospects18


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
1Peyton Krebs (R)XX100.00634188806668697448716263255151050630202894,167$
2Vasily Podkolzin (R)X100.00764489787164656237627165255454050620204925,000$
3Brett SeneyXX100.00595665775671736780676259594949050610251782,500$
4Otto KoivulaXX100.00754599718458686267705563254545050610232700,000$
5Aliaksei Protas (R)X100.00674499728661646655645959254747050600203795,000$
6Oskar SteenXX100.00814490686559736031655970254646050600232809,168$
7Paul CotterXX100.00747571637574786176536463614444050600215900,000$
8Ben JonesX100.00686869666875796176526560624444050590223760,000$
9Marian StudenicX100.00714293726259666131565775254747050590222750,000$
10Ty RonningX100.00696187636161626150566261594444050570233750,833$
11Curtis Hall (R)X100.00868197708153554658424566434444050540213925,000$
12Grant MismashXX100.00746889656851524961454860464444050520222825,000$
13Vladislav Kolyachonok (R)X100.00774493777169646325454875254646050630203795,000$
14Steven KampferX100.00714392677065495725474669246364050600332750,000$
15Alexander AlexeyevX100.00808079718062664925433963374444050580213863,333$
16Jordan GrossX100.00716879666862626325615162484444050580261700,000$
17Brayden PachalX100.00707363667366714625374058384444050550221600,000$
18Matthew Robertson (R)X100.00797784637753554625373962374444050550204797,500$
Scratches
1Olle Lycksell (R)X100.00454089676361804753414444485454050500223837,000$
2Lucas CarlssonXHO7543917170606557255149642550500506002400$
3Danila Zhuravlyov (R)X100.00453983676055724325393646405050050500214600,000$
TEAM AVERAGE100.0070568570706266574453526238484805058
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
1Jon Gillies100.0060484891655469616560754646050610273700,000$
2Filip Larsson (R)100.0041495871444447464041274441050470231836,666$
Scratches
1Tyler Parsons100.0043485870394149484243294441050470241650,000$
TEAM AVERAGE100.004848557749465552494844454305052
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Otto KoivulaMonsters (Col)C/LW25121426-2202675101276711.88%752721.0814510520000393151.07%60500000.9900000213
2Paul CotterMonsters (Col)C/RW2571522-1120625310534906.67%949219.683251553000001261.11%3600010.8900000220
3Peyton KrebsMonsters (Col)C/LW2561622-460339011225845.36%562725.0923514520003730044.00%77500000.7000000000
4Vladislav KolyachonokMonsters (Col)D2561420-1160623758193710.34%5061324.552462253000059200.00%000200.6500000220
5Brett SeneyMonsters (Col)C/LW2571219-49535388625418.14%254421.7814513530000462056.94%7200000.7000001000
6Aliaksei ProtasMonsters (Col)C25710176409488120638.64%745518.2300000000091149.66%14500000.7500000101
7Oskar SteenMonsters (Col)C/RW2561117512057596719508.96%540616.25000200000200030.53%47500100.8400000011
8Marian StudenicMonsters (Col)RW2561016410032447616627.89%338115.2600000000002120.00%3500000.8400000210
9Vasily PodkolzinMonsters (Col)RW258614-66060309224778.70%357422.9812310530002730037.74%5300000.4900000101
10Jordan GrossMonsters (Col)D2521113-510031173013186.67%4154921.990111352000054000.00%000000.4700000000
11Steven KampferMonsters (Col)D2521012-2804124259208.00%4061524.62123753000063000.00%000000.3900000201
12Alexander AlexeyevMonsters (Col)D25279-337567162212199.09%3354121.64000752000047100.00%000000.3300010010
13Grant MismashMonsters (Col)C/LW25729-28032233673019.44%448719.52213451000001035.90%3900000.3700000010
14Brayden PachalMonsters (Col)D251454120457135117.69%2141916.780000400009000.00%000000.2400000010
15Matthew RobertsonMonsters (Col)D25123540429156106.67%3643217.2900012000029000.00%000000.1400000001
16Ben JonesMonsters (Col)C25022200336040.00%0542.1601115000020060.00%3000000.7400000000
17Ty RonningMonsters (Col)RW2510122084103310.00%3823.3100000000000028.57%700000.2400000000
18Curtis HallMonsters (Col)C25000320110010.00%0140.56000020000000100.00%100000.00%00000000
Team Total or Average450811462271160106465789352646878.66%269781917.38132437119544000553013543.64%227300310.580001112108
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
1Jon GilliesMonsters (Col)25131110.9192.99158821799760010.00%0250242
Team Total or Average25131110.9192.99158821799760010250242


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 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
Alexander AlexeyevMonsters (Col)D211999-11-15No210 Lbs6 ft4NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Link
Aliaksei ProtasMonsters (Col)C202001-01-06Yes225 Lbs6 ft6NoNoNo3Pro & Farm795,000$0$0$No795,000$795,000$Link
Ben JonesMonsters (Col)C221999-02-25No187 Lbs6 ft0NoNoNo3Pro & Farm760,000$0$0$No760,000$760,000$Link
Brayden PachalMonsters (Col)D221999-08-23No201 Lbs6 ft0YesNoNo1Pro & Farm600,000$0$0$NoLink
Brett SeneyMonsters (Col)C/LW251996-02-27No156 Lbs5 ft9NoNoYes1Pro & Farm782,500$0$0$NoLink
Curtis HallMonsters (Col)C212000-04-26Yes216 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Link
Danila ZhuravlyovMonsters (Col)D212000-04-08Yes163 Lbs6 ft0YesNoNo4Pro & Farm600,000$0$0$No600,000$600,000$600,000$Link
Filip LarssonMonsters (Col)G231998-08-17Yes181 Lbs6 ft2NoNoNo1Pro & Farm836,666$0$0$NoLink
Grant MismashMonsters (Col)C/LW221999-02-19No185 Lbs6 ft0NoNoNo2Pro & Farm825,000$0$0$No825,000$Link
Jon Gillies (1 Way Contract)Monsters (Col)G271994-01-21No223 Lbs6 ft6NoNoYes3Pro & Farm700,000$0$0$No700,000$700,000$Link
Jordan Gross (1 Way Contract)Monsters (Col)D261995-05-09No190 Lbs5 ft10NoNoYes1Pro & Farm700,000$0$0$NoLink
Lucas CarlssonMonsters (Col)D241997-07-05No190 Lbs6 ft0NoNoYes0Pro & Farm0$0$NoLink
Marian StudenicMonsters (Col)RW221998-10-28No163 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Link
Matthew RobertsonMonsters (Col)D202001-03-09Yes201 Lbs6 ft4NoNoNo4Pro & Farm797,500$0$0$No797,500$797,500$797,500$Link
Olle LycksellMonsters (Col)RW221999-08-24Yes176 Lbs5 ft11NoNoNo3Pro & Farm837,000$0$0$No837,000$837,000$Link
Oskar SteenMonsters (Col)C/RW231998-03-09No188 Lbs5 ft9NoNoNo2Pro & Farm809,168$0$0$No809,168$Link
Otto KoivulaMonsters (Col)C/LW231998-09-01No223 Lbs6 ft5NoNoNo2Pro & Farm700,000$0$0$No700,000$Link
Paul CotterMonsters (Col)C/RW211999-11-16No206 Lbs6 ft1YesNoNo5Pro & Farm900,000$0$0$No900,000$900,000$900,000$900,000$Link
Peyton KrebsMonsters (Col)C/LW202001-01-26Yes180 Lbs5 ft11NoNoNo2Pro & Farm894,167$0$0$No894,167$Link
Steven Kampfer (1 Way Contract)Monsters (Col)D331988-09-24No198 Lbs5 ft11NoNoYes2Pro & Farm750,000$0$0$No750,000$Link
Ty RonningMonsters (Col)RW231997-10-20No172 Lbs5 ft9NoNoNo3Pro & Farm750,833$0$0$No750,833$750,833$Link
Tyler ParsonsMonsters (Col)G241997-09-17No185 Lbs6 ft1NoNoYes1Pro & Farm650,000$0$0$NoLink
Vasily PodkolzinMonsters (Col)RW202001-06-24Yes190 Lbs6 ft1NoNoNo4Pro & Farm925,000$0$0$No925,000$925,000$925,000$Link
Vladislav KolyachonokMonsters (Col)D202001-05-26Yes194 Lbs6 ft1NoNoNo3Pro & Farm795,000$0$0$No795,000$795,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2422.71192 Lbs6 ft12.42747,757$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brett SeneyPeyton KrebsVasily Podkolzin40122
2Grant MismashOtto KoivulaPaul Cotter30122
3Aliaksei ProtasOskar SteenMarian Studenic20122
4Peyton KrebsAliaksei ProtasTy Ronning10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Vladislav KolyachonokSteven Kampfer40122
2Jordan GrossAlexander Alexeyev30122
3Brayden PachalMatthew Robertson20122
4Vladislav KolyachonokSteven Kampfer10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brett SeneyPeyton KrebsVasily Podkolzin60122
2Grant MismashOtto KoivulaPaul Cotter40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Vladislav KolyachonokSteven Kampfer60122
2Jordan GrossAlexander Alexeyev40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Peyton KrebsVasily Podkolzin60122
2Brett SeneyOtto Koivula40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Vladislav KolyachonokSteven Kampfer60122
2Jordan GrossAlexander Alexeyev40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Peyton Krebs60122Vladislav KolyachonokSteven Kampfer60122
2Vasily Podkolzin40122Jordan GrossAlexander Alexeyev40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Peyton KrebsVasily Podkolzin60122
2Brett SeneyOtto Koivula40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Vladislav KolyachonokSteven Kampfer60122
2Jordan GrossAlexander Alexeyev40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brett SeneyPeyton KrebsVasily PodkolzinVladislav KolyachonokSteven Kampfer
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brett SeneyPeyton KrebsVasily PodkolzinVladislav KolyachonokSteven Kampfer
Extra Forwards
Normal PowerPlayPenalty Kill
Ben Jones, Curtis Hall, Oskar SteenBen Jones, Curtis HallOskar Steen
Extra Defensemen
Normal PowerPlayPenalty Kill
Brayden Pachal, Matthew Robertson, Jordan GrossBrayden PachalMatthew Robertson, Jordan Gross
Penalty Shots
Peyton Krebs, Vasily Podkolzin, Brett Seney, Otto Koivula, Paul Cotter
Goalie
#1 : Jon Gillies, #2 : Filip Larsson


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
1Comets7430000021210431000001073312000001114-380.57121385911252627326927130331051252675619418422.22%22386.36%041392244.79%40592044.02%17443140.37%631434613193345175
2Cougars7430000021201312000001012-243100000118380.5712137580025262732542713033105125467441602528.00%22481.82%041392244.79%40592044.02%17443140.37%631434613193345175
3Oil Kings64200000211743210000012933210000098180.66721406100252627324627130331051210622613917529.41%13376.92%041392244.79%40592044.02%17443140.37%631434613193345175
4Sharks514000001822-42020000058-3312000001314-120.2001831490025262731662713033105126173361536233.33%18288.89%041392244.79%40592044.02%17443140.37%631434613193345175
Total25131200000818011266000003736113760000044440260.5208114622711252627393527130331051977269162646661319.70%751284.00%041392244.79%40592044.02%17443140.37%631434613193345175
_Since Last GM Reset25131200000818011266000003736113760000044440260.5208114622711252627393527130331051977269162646661319.70%751284.00%041392244.79%40592044.02%17443140.37%631434613193345175
_Vs Conference2012800000635851064000003228410640000031301240.6006311517811252627376927130331051716196126493601118.33%571082.46%041392244.79%40592044.02%17443140.37%631434613193345175

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2526L38114622793597726916264611
All Games
GPWLOTWOTL SOWSOLGFGA
25131200008180
Home Games
GPWLOTWOTL SOWSOLGFGA
126600003736
Visitor Games
GPWLOTWOTL SOWSOLGFGA
137600004444
Last 10 Games
WLOTWOTL SOWSOL
360100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
661319.70%751284.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
271303310512526273
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
41392244.79%40592044.02%17443140.37%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
631434613193345175


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 - 2023-04-187Monsters5Oil Kings2AWBoxScore
4 - 2023-04-2015Monsters3Oil Kings2AWBoxScore
6 - 2023-04-2223Oil Kings3Monsters0BLBoxScore
8 - 2023-04-2431Oil Kings1Monsters5BWBoxScore
10 - 2023-04-2639Monsters1Oil Kings4ALBoxScore
12 - 2023-04-2847Oil Kings5Monsters7BWBoxScore
16 - 2023-05-0260Monsters0Cougars2ALBoxScore
18 - 2023-05-0464Monsters4Cougars2AWBoxScore
20 - 2023-05-0668Cougars4Monsters5BWXBoxScore
22 - 2023-05-0872Cougars4Monsters2BLBoxScore
24 - 2023-05-1076Monsters4Cougars3AWBoxScore
26 - 2023-05-1280Cougars4Monsters3BLBoxScore
28 - 2023-05-1484Monsters3Cougars1AWBoxScore
30 - 2023-05-1686Comets1Monsters3BWBoxScore
32 - 2023-05-1888Comets0Monsters2BWBoxScore
34 - 2023-05-2090Monsters4Comets2AWBoxScore
36 - 2023-05-2292Monsters3Comets6ALBoxScore
38 - 2023-05-2494Comets4Monsters2BLBoxScore
40 - 2023-05-2696Monsters4Comets6ALBoxScore
42 - 2023-05-2898Comets2Monsters3BWXBoxScore
43 - 2023-05-2999Monsters5Sharks6ALXBoxScore
44 - 2023-05-30100Monsters4Sharks3AWXBoxScore
45 - 2023-05-31101Sharks4Monsters3BLBoxScore
46 - 2023-06-01102Sharks4Monsters2BLBoxScore
47 - 2023-06-02103Monsters4Sharks5ALBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance24,00011,974
Attendance PCT100.00%99.78%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
29 2998 - 99.93% 84,968$1,019,610$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,579,617$ 1,579,617$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




Monsters 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

Monsters Goalies Stat Leaders (Regular Season)

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

Monsters 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

Monsters 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

Monsters Goalies Stat Leaders (Play-Off)

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