Monsters
GP: 18 | W: 5 | L: 11 | OTL: 2 | P: 12
GF: 80 | GA: 92 | PP%: 25.00% | PK%: 64.00%
Jean Levergneaux | 50 | 73
#311 vs Crunch


Monsters
5-11-2, 12pts
4
FINAL
6 Rocket
12-4-3, 27pts
Team Stats
W1W2
2-5-19-0-1
3-6-13-4-2
3-7-06-3-1
4.445.79
5.114.89
25.00%29.41%
64.00%66.67%
Monsters
5-11-2, 12pts
8
FINAL
5 Bruins
1-17-2, 4pts
Team Stats
W1L2
2-5-11-9-1
3-6-10-8-1
3-7-01-7-2
4.443.70
5.116.90
25.00%37.50%
64.00%62.50%
Crunch
8-9-1, 17pts
2024-11-21
Monsters
5-11-2, 12pts
L3W1
5-3-12-5-1
3-6-03-6-1
4-5-13-7-0
3.724.44
4.564.44
16.67%25.00%
77.78%64.00%
Wolves
6-10-3, 15pts
2024-11-23
Monsters
5-11-2, 12pts
W4W1
4-3-12-5-1
2-7-23-6-1
5-4-13-7-0
4.684.44
5.114.44
26.32%25.00%
79.41%64.00%
Rocket
12-4-3, 27pts
2024-11-27
Monsters
5-11-2, 12pts
W2W1
9-0-12-5-1
3-4-23-6-1
6-3-13-7-0
5.794.44
4.894.44
29.41%25.00%
66.67%64.00%
Nikita Okhotiuk
Nikita Okhotiuk
11
Nikita Okhotiuk
Nikita Okhotiuk
18
Nikita Okhotiuk
Nikita Okhotiuk
29
Christian Wolanin
Christian Wolanin
10
Nikita Tolopilo
Nikita Tolopilo
5
Nikita Tolopilo
Nikita Tolopilo
0.851


80
4.44 GFG

626
34.78 Avg

25.0%
5 GF

33.9%

92
5.11 GAA

612
34.00 Avg

64.0%%
9 GA

32.7%


Jean Levergneaux
Metropolitan Division
Eastern Conference




5,000
5,000
5,000




27
19
46 / 55
27


PriorityDescription
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
# #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
1Connor Brown (R)0X100.00605098778262868342727156778377050780291775,000$
2Jiri Smejkal (R)0X100.00695297778041558343717048768376050760261870,000$
3Chris Terry0XXX100.00466482747679917936626840732540050730341775,000$
4Logan Shaw0XXX100.00456583747681947936616840732540050730301775,000$
5Max McCormick0XXX100.00476681737683977936606840732540050730311775,000$
6Charles Hudon0XXX100.00476181747672837936616840732540050720291775,000$
7Marco Kasper (R)0X100.00456683727583977765596740722540050720193918,333$
8Marian Studenic (R)0XXX100.00456484737679917836606740722540050720242780,000$
9Nick Abruzzese (R)0X100.00456584737681947836616740732540050720243813,750$
10Cole Reinhardt (R)0X100.00486379727578907736586740722540050710231925,000$
11Zack Ostapchuk (R)0X100.00466582727581947765576740722540050710203825,000$
12Chase Stillman (R)0X100.00485779727663737736576740722540050700203863,334$
13Nikita Okhotiuk (R)0X100.00725394778054628540727057788578050810221925,000$
14Calle Rosen0X100.00456484727680937736606643712540050730292876,875$
15Christian Wolanin0X100.00455183737658577836626751722540050730281889,875$
16Dillon Heatherington0X100.00466082717571827636576646712540050720281861,625$
17Santtu Kinnunen (R)0X100.00456583717581947636586641712540050720243897,750$
18Frederic Brunet (R)0X100.00455483717558657636586648712540050710193860,000$
1Nathan Legare (R)0X100.00476481717580937636566740712540050710221789,167$
2Fredrik Karlstrom0X100.00455484737658647865606840732540050700251806,000$
3Ryan Winterton (R)0XXX100.00455983727668797765586840732540050700193828,333$
4Simon Johansson (R)0X100.00466282717575877636576740712540050720243897,750$
5Filip Roos (R)0X100.00456083717569807636586640712540050710243813,750$
6Matthew Robertson (R)0X100.00465981727567777636596641712540050710221797,500$
7Victor Mete (R)0X100.00456083717569807636586641712540050710251962,000$
100.0048608473767182784160674373324405072
PriorityDescription
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
# #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Malcolm Subban0100.0071687974737074646874702555050820291775,000$
2Nikita Tolopilo (R)0100.0073687774726974676974702555050820232950,000$
100.007268787473707466697470255505082
PH DF OF PD EX LD PO CNT


PriorityDescription
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
# 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
1Nikita OkhotiukMonsters (CBJ)D18111829700434961222318.03%3142223.4900000011016200%02327011.3700000212
2Jiri SmejkalMonsters (CBJ)LW18101121-800322862233416.13%1032017.781238171012181045.00%20536011.3100000100
3Logan ShawMonsters (CBJ)C/LW/RW186142027518743163313.95%330116.77022216000000028.57%21206011.3300100101
4Connor BrownMonsters (CBJ)RW1811819220332452184621.15%1330516.95000000002190066.67%184014001.2500000111
5Christian WolaninMonsters (CBJ)D183111410607233112119.68%2141423.0301121800000000%0525000.6800000001
6Charles HudonMonsters (CBJ)C/LW/RW188614-2201993982420.51%123713.18112417000000035.59%118274001.1800000010
7Marian StudenicMonsters (CBJ)C/LW/RW183912223514123071710.00%423413.02000000111161021.43%28144001.0200001100
8Cole ReinhardtMonsters (CBJ)LW182911-15526113010246.67%621912.1800000000000016.67%6173001.0000010000
9Max McCormickMonsters (CBJ)C/LW/RW184610-966401293992410.26%428315.73000000000151051.72%29201000.7100206000
10Zack OstapchukMonsters (CBJ)C184610-1020221434101411.76%931017.27112516000000054.98%251154000.6401000000
11Chris TerryMonsters (CBJ)C/LW/RW1845917523144212299.52%524413.60000114000050031.10%164193000.7400001100
12Marco KasperMonsters (CBJ)C18268055251712299266.90%031417.48123416000000051.56%256188000.5101014000
13Nick AbruzzeseMonsters (CBJ)LW18178327251711369192.78%423813.25000013000000020.00%10162000.6701005000
14Calle RosenMonsters (CBJ)D18167-1024101227131117.69%1534319.0601121500000000%0317000.4100011001
15Chase StillmanMonsters (CBJ)RW18347-200252025121312.00%322212.3800000000000028.57%7195000.6300000000
16Dillon HeatheringtonMonsters (CBJ)D18437-50019262121219.05%1830617.0500001000021010%0414000.4600000000
17Frederic BrunetMonsters (CBJ)D18156-124016312014155.00%3137420.80101115000021000%0720000.3200000001
18Santtu KinnunenMonsters (CBJ)D18224-430301415196410.53%829116.1700000000015000%0411000.2700222010
32480136216-3626015036934262620037912.78%186538516.62510152916312351495144.83%928324174030.80035520747
PriorityDescription
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
# GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Nikita TolopiloMonsters (CBJ)1851120.8515.0310850091612348300.5002180020
1851120.8515.0310850091612348302180020


PriorityDescription
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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Calle Rosen Monsters (CBJ)D291994-02-02SWENo188 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm876,875$662,130$0$0$No876,875$Unrestricted----876,875$--------No--------Link / NHL Link
Charles Hudon Monsters (CBJ)C/LW/RW291994-06-23CANNo190 Lbs5 ft10NoNoFree AgentNoNo12024-08-24FalseFalsePro & Farm775,000$585,204$0$0$NoUnrestricted----------------------Link / NHL Link
Chase Stillman Monsters (CBJ)RW202003-03-19USAYes185 Lbs6 ft1NoNoProspectNoNo32024-07-02FalseFalsePro & Farm863,334$651,905$0$0$No863,334$863,334$Restricted----863,334$863,334$-------NoNo-------Link / NHL Link
Chris Terry Monsters (CBJ)C/LW/RW341989-04-07CANNo191 Lbs5 ft10NoNoFree AgentNoNo12024-08-24FalseFalsePro & Farm775,000$585,204$0$0$NoUnrestricted----------------------Link / NHL Link
Christian Wolanin Monsters (CBJ)D281995-03-17CANNo190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm889,875$671,946$0$0$NoUnrestricted----------------------Link / NHL Link
Cole Reinhardt Monsters (CBJ)LW232000-02-01CANYes200 Lbs6 ft0NoNoN/ANoNo1FalseFalseFarm Only925,000$698,469$0$0$No Restricted----------------------Link / NHL Link
Connor Brown Monsters (CBJ)RW291994-01-14CANYes181 Lbs6 ft0NoNoProspectNoNo12024-07-02FalseFalsePro & Farm775,000$585,204$0$0$NoUnrestricted----------------------Link / NHL Link
Dillon Heatherington Monsters (CBJ)D281995-05-09CANNo215 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm861,625$650,615$0$0$NoUnrestricted----------------------Link / NHL Link
Filip Roos Monsters (CBJ)D241999-01-05SWEYes190 Lbs6 ft4NoNoFree AgentNoNo32024-08-09FalseFalsePro & Farm813,750$614,464$0$0$No813,750$813,750$ Restricted----813,750$813,750$-------NoNo-------Link / NHL Link
Frederic Brunet Monsters (CBJ)D192003-08-21CANYes189 Lbs6 ft3NoNoProspectNoNo32024-07-02FalseFalsePro & Farm860,000$649,388$0$0$No860,000$860,000$Restricted----860,000$860,000$-------NoNo-------Link / NHL Link
Fredrik Karlstrom Monsters (CBJ)C251998-01-12SWENo200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm806,000$608,612$0$0$No Restricted----------------------Link / NHL Link
Jiri Smejkal Monsters (CBJ)LW261996-11-05CZEYes209 Lbs6 ft4NoNoProspectNoNo12024-07-02FalseFalsePro & Farm870,000$656,939$0$0$NoUnrestricted----------------------Link / NHL Link
Logan Shaw Monsters (CBJ)C/LW/RW301992-10-05CANNo208 Lbs6 ft3NoNoFree AgentNoNo12024-08-24FalseFalsePro & Farm775,000$585,204$0$0$NoUnrestricted----------------------Link / NHL Link
Malcolm Subban Monsters (CBJ)G291993-12-21CANNo215 Lbs6 ft2NoNoFree AgentNoNo12024-08-17FalseFalsePro & Farm775,000$585,204$0$0$NoUnrestricted----------------------Link / NHL Link
Marco Kasper Monsters (CBJ)C192004-04-08AUTYes183 Lbs6 ft1NoNoProspectNoNo32024-07-02FalseFalsePro & Farm918,333$693,435$0$0$No918,333$918,333$Restricted----918,333$918,333$-------NoNo-------Link / NHL Link
Marian Studenic Monsters (CBJ)C/LW/RW241998-10-28SVKYes190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm780,000$588,980$0$0$No780,000$ Restricted----780,000$--------No--------Link / NHL Link
Matthew Robertson Monsters (CBJ)D222001-03-09CANYes201 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm797,500$602,194$0$0$NoRestricted----------------------Link / NHL Link
Max McCormick Monsters (CBJ)C/LW/RW311992-05-01USANo188 Lbs5 ft11NoNoFree AgentNoNo12024-08-24FalseFalsePro & Farm775,000$585,204$0$0$NoUnrestricted----------------------Link / NHL Link
Nathan Legare Monsters (CBJ)RW222001-01-11CANYes208 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm789,167$595,902$0$0$NoRestricted----------------------Link / NHL Link
Nick Abruzzese Monsters (CBJ)LW241999-06-04USAYes183 Lbs5 ft11NoNoFree AgentNoNo32024-08-09FalseFalsePro & Farm813,750$614,464$0$0$No813,750$813,750$ Restricted----813,750$813,750$-------NoNo-------Link / NHL Link
Nikita Okhotiuk Monsters (CBJ)D222000-12-04RUSYes195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$698,469$0$0$NoRestricted----------------------Link / NHL Link
Nikita Tolopilo Monsters (CBJ)G232000-04-06BELYes229 Lbs6 ft6NoNoProspectNoNo22024-07-02FalseFalsePro & Farm950,000$717,347$0$0$No950,000$ Restricted----950,000$--------No--------Link / NHL Link
Ryan Winterton Monsters (CBJ)C/LW/RW192003-09-04CANYes175 Lbs6 ft2NoNoProspectNoNo32024-07-02FalseFalsePro & Farm828,333$625,476$0$0$No828,333$828,333$Restricted----828,333$828,333$-------NoNo-------Link / NHL Link
Santtu Kinnunen Monsters (CBJ)D241999-03-25FINYes165 Lbs6 ft2NoNoFree AgentNoNo32024-08-09FalseFalsePro & Farm897,750$677,893$0$0$No897,750$897,750$ Restricted----897,750$897,750$-------NoNo-------Link / NHL Link
Simon Johansson Monsters (CBJ)D241999-06-14SWEYes183 Lbs6 ft2NoNoFree AgentNoNo32024-08-09FalseFalsePro & Farm897,750$677,893$0$0$No897,750$897,750$ Restricted----897,750$897,750$-------NoNo-------Link / NHL Link
Victor Mete Monsters (CBJ)D251998-06-07CANYes187 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm962,000$726,408$0$0$No Restricted----------------------Link / NHL Link
Zack Ostapchuk Monsters (CBJ)C202003-05-29CANYes205 Lbs6 ft3NoNoProspectNoNo32024-07-02FalseFalsePro & Farm825,000$622,959$0$0$No825,000$825,000$Restricted----825,000$825,000$-------NoNo-------Link / NHL Link
2724.89194 Lbs6 ft11.78844,483$



1Logan ShawMarco KasperConnor Brown30122
2Jiri SmejkalZack OstapchukMax McCormick30122
3Cole ReinhardtCharles HudonChase Stillman20122
4Nick AbruzzeseChris TerryMarian Studenic20122
1Nikita OkhotiukChristian Wolanin30122
2Calle RosenFrederic Brunet30122
3Dillon HeatheringtonSanttu Kinnunen20122
4Nikita OkhotiukChristian Wolanin20122
1Jiri SmejkalMarco KasperCharles Hudon50005
2Chris TerryZack OstapchukLogan Shaw50005
1Calle RosenChristian Wolanin50014
2Nick AbruzzeseFrederic Brunet50014
1Max McCormickConnor Brown50140
2Marian StudenicJiri Smejkal50140
1Nikita OkhotiukSanttu Kinnunen50230
2Dillon HeatheringtonFrederic Brunet50230
1Zack Ostapchuk50140Nikita OkhotiukSanttu Kinnunen50140
2Connor Brown50140Dillon HeatheringtonFrederic Brunet50140
1Marco KasperJiri Smejkal50122
2Zack OstapchukChris Terry50122
1Nikita OkhotiukChristian Wolanin50122
2Calle RosenDillon Heatherington50122
Jiri SmejkalMarco KasperNick AbruzzeseNikita OkhotiukDillon Heatherington
Charles HudonZack OstapchukChris TerryNikita OkhotiukDillon Heatherington
Marco Kasper, Zack Ostapchuk, Nick AbruzzeseLogan Shaw, Jiri SmejkalConnor Brown
Nikita Okhotiuk, Frederic Brunet, Christian WolaninChristian WolaninNikita Okhotiuk, Dillon Heatherington
Zack Ostapchuk, Nick Abruzzese, Marco Kasper, Jiri Smejkal, Christian Wolanin
#1 : Nikita Tolopilo, #2 : Malcolm Subban
Marco Kasper, Zack Ostapchuk, Nick Abruzzese, Max McCormick, Logan Shaw, Jiri Smejkal, Jiri Smejkal, Cole Reinhardt, Chris Terry, Charles Hudon, Chase Stillman
Nikita Okhotiuk, Christian Wolanin, Calle Rosen, Dillon Heatherington, Frederic Brunet


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
1Admirals1010000058-3000000000001010000058-300.0005914003527171302462171588371029174125.00%2150.00%014531246.47%12630141.86%14530747.23%402268405134279136
2Americans10001000541100010005410000000000021.0005914003527171292462171588444010100.00%000%014531246.47%12630141.86%14530747.23%402268405134279136
3Barracuda11000000633000000000001100000063321.0006915003527171322462171588279262711100.00%3166.67%014531246.47%12630141.86%14530747.23%402268405134279136
4Bears11000000615000000000001100000061521.000610160035271714024621715883572228100.00%10100.00%014531246.47%12630141.86%14530747.23%402268405134279136
5Bruins11000000853000000000001100000085321.00081422003527171382462171588341626222150.00%3233.33%014531246.47%12630141.86%14530747.23%402268405134279136
6Checkers1000010034-11000010034-10000000000010.5003580035271713424621715882570192150.00%000%014531246.47%12630141.86%14530747.23%402268405134279136
7Condors11000000817110000008170000000000021.00081422003527171382462171588261044252150.00%20100.00%014531246.47%12630141.86%14530747.23%402268405134279136
8Eagles1000000167-1000000000001000000167-110.50061117003527171392462171588389725000%10100.00%014531246.47%12630141.86%14530747.23%402268405134279136
9Firebirds1010000048-4000000000001010000048-400.00048120035271712824621715884012214000%10100.00%114531246.47%12630141.86%14530747.23%402268405134279136
10Gulls1010000046-2000000000001010000046-200.000471100352717136246217158837171225100.00%110.00%014531246.47%12630141.86%14530747.23%402268405134279136
11Islanders1010000026-41010000026-40000000000000.000235003527171302462171588338212100.00%110.00%014531246.47%12630141.86%14530747.23%402268405134279136
12Marlies1010000025-31010000025-30000000000000.0002350035271713924621715882816224000%10100.00%014531246.47%12630141.86%14530747.23%402268405134279136
13Moose1010000048-41010000048-40000000000000.00045900352717138246217158841152216000%10100.00%014531246.47%12630141.86%14530747.23%402268405134279136
14Penguins1010000012-11010000012-10000000000000.00012300352717133246217158835142423100.00%20100.00%014531246.47%12630141.86%14530747.23%402268405134279136
15Reign1010000045-1000000000001010000045-100.0004812003527171372462171588257926300.00%20100.00%014531246.47%12630141.86%14530747.23%402268405134279136
16Rocket1010000046-2000000000001010000046-200.0004711003527171442462171588367021000%000%014531246.47%12630141.86%14530747.23%402268405134279136
17Wild20200000813-51010000045-11010000048-400.0008122000352717161246217158871183335100.00%4325.00%014531246.47%12630141.86%14530747.23%402268405134279136
Total18411011018092-12815011002935-61036000015157-6120.33380136216003527171626246217158861218626036920525.00%25964.00%114531246.47%12630141.86%14530747.23%402268405134279136
_Since Last GM Reset18411011018092-12815011002935-61036000015157-6120.33380136216003527171626246217158861218626036920525.00%25964.00%114531246.47%12630141.86%14530747.23%402268405134279136
_Vs Conference824011003133-2503011001321-8321000001812670.438315384003527171287246217158827079761598225.00%8362.50%014531246.47%12630141.86%14530747.23%402268405134279136
_Vs Division322000009902020000038-51200000061540.667915240035271711032462171588103294863300.00%4175.00%014531246.47%12630141.86%14530747.23%402268405134279136

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1812W18013621662661218626036900
All Games
GPWLOTWOTL SOWSOLGFGA
1841111018092
Home Games
GPWLOTWOTL SOWSOLGFGA
81511002935
Visitor Games
GPWLOTWOTL SOWSOLGFGA
103600015157
Last 10 Games
WLOTWOTL SOWSOL
370000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
20525.00%25964.00%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
24621715883527171
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
14531246.47%12630141.86%14530747.23%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
402268405134279136


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DayGame Visitor Score Home Score ST OT SO RI Link
7 - 2024-10-1018Monsters4Wild8LBoxScore
9 - 2024-10-1234Monsters6Eagles7LXXBoxScore
12 - 2024-10-1551Checkers4Monsters3LXBoxScore
14 - 2024-10-1767Americans4Monsters5WXBoxScore
16 - 2024-10-1983Wild5Monsters4LBoxScore
19 - 2024-10-2297Marlies5Monsters2LBoxScore
23 - 2024-10-26131Monsters5Admirals8LBoxScore
25 - 2024-10-28142Condors1Monsters8WBoxScore
27 - 2024-10-30155Islanders6Monsters2LBoxScore
29 - 2024-11-01171Moose8Monsters4LBoxScore
30 - 2024-11-02177Monsters6Bears1WBoxScore
33 - 2024-11-05204Monsters6Barracuda3WBoxScore
37 - 2024-11-09234Monsters4Reign5LBoxScore
38 - 2024-11-10238Monsters4Gulls6LBoxScore
40 - 2024-11-12251Monsters4Firebirds8LBoxScore
43 - 2024-11-15267Penguins2Monsters1LBoxScore
44 - 2024-11-16275Monsters4Rocket6LBoxScore
46 - 2024-11-18288Monsters8Bruins5WBoxScore
49 - 2024-11-21311Crunch-Monsters-
51 - 2024-11-23328Wolves-Monsters-
55 - 2024-11-27355Rocket-Monsters-
57 - 2024-11-29368Wranglers-Monsters-
59 - 2024-12-01390Monsters-IceHogs-
61 - 2024-12-03404Monsters-Wranglers-
63 - 2024-12-05418Monsters-Condors-
64 - 2024-12-06422Monsters-Canucks-
66 - 2024-12-08439Monsters-Moose-
68 - 2024-12-10449Phantoms-Monsters-
70 - 2024-12-12463Bears-Monsters-
72 - 2024-12-14481Gulls-Monsters-
73 - 2024-12-15491Monsters-Wolves-
75 - 2024-12-17498Monsters-Crunch-
77 - 2024-12-19514Comets-Monsters-
79 - 2024-12-21535Monsters-Phantoms-
81 - 2024-12-23551Rocket-Monsters-
85 - 2024-12-27561Bruins-Monsters-
86 - 2024-12-28570Monsters-Bruins-
89 - 2024-12-31594Wolves-Monsters-
91 - 2025-01-02606Griffins-Monsters-
93 - 2025-01-04625Thunderbirds-Monsters-
96 - 2025-01-07645Monsters-Penguins-
98 - 2025-01-09660Firebirds-Monsters-
100 - 2025-01-11677Monsters-Thunderbirds-
103 - 2025-01-14698Phantoms-Monsters-
105 - 2025-01-16711Barracuda-Monsters-
107 - 2025-01-18728Monsters-Wolf Pack-
109 - 2025-01-20745Monsters-Islanders-
111 - 2025-01-22757Monsters-Marlies-
112 - 2025-01-23764Monsters-Wolves-
114 - 2025-01-25782Reign-Monsters-
119 - 2025-01-30820Monsters-Silver Knights-
120 - 2025-01-31825Monsters-Roadrunners-
122 - 2025-02-02840Monsters-Stars-
124 - 2025-02-04846Monsters-Americans-
126 - 2025-02-06865Roadrunners-Monsters-
128 - 2025-02-08882Wolf Pack-Monsters-
142 - 2025-02-22902IceHogs-Monsters-
145 - 2025-02-25924Stars-Monsters-
147 - 2025-02-27935Monsters-Griffins-
149 - 2025-03-01948Griffins-Monsters-
152 - 2025-03-04976Monsters-Crunch-
154 - 2025-03-06990Monsters-Checkers-
157 - 2025-03-091017Monsters-Wolf Pack-
159 - 2025-03-111026Monsters-Comets-
161 - 2025-03-131045Silver Knights-Monsters-
163 - 2025-03-151062Wolf Pack-Monsters-
165 - 2025-03-171075Comets-Monsters-
168 - 2025-03-201093Checkers-Monsters-
169 - 2025-03-211103Monsters-Penguins-
172 - 2025-03-241126Monsters-Islanders-
176 - 2025-03-281155Canucks-Monsters-
177 - 2025-03-291164Monsters-Senators-
180 - 2025-04-011185Admirals-Monsters-
182 - 2025-04-031199Eagles-Monsters-
184 - 2025-04-051216Monsters-Marlies-
185 - 2025-04-061224Monsters-Senators-
187 - 2025-04-081239Senators-Monsters-
189 - 2025-04-101253Americans-Monsters-
191 - 2025-04-121270Bears-Monsters-
192 - 2025-04-131281Monsters-Bears-
194 - 2025-04-151295Monsters-Phantoms-
196 - 2025-04-171312Islanders-Monsters-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity35001500
Ticket Price5025
Attendance28,00012,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
33 5000 - 100.00% 108,375$867,000$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
5,583,173$ 22,801,042$ 22,801,042$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
116,332$ 5,583,173$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,576,375$ 148 116,332$ 17,217,136$




Monsters Players 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 Players 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