Login

Monsters
GP: 84 | W: 40 | L: 29 | OTL: 15 | P: 95
GF: 324 | GA: 318 | PP%: 33.07% | PK%: 76.36%
GM : Trent Zeigler | Morale : 42 | Team Overall : 58
Next Games #1303 vs Wolves
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Americans
38-41-4, 80pts
2
FINAL
4 Monsters
40-29-15, 95pts
Team Stats
W1StreakW4
17-21-4Home Record22-15-5
21-20-0Home Record18-14-10
4-6-0Last 10 Games5-2-3
2.82Goals Per Game3.86
3.37Goals Against Per Game3.79
33.33%Power Play Percentage33.07%
66.34%Penalty Kill Percentage76.36%
Wolves
35-40-7, 77pts
0
FINAL
3 Monsters
40-29-15, 95pts
Team Stats
L1StreakW4
22-18-2Home Record22-15-5
13-22-5Home Record18-14-10
5-5-0Last 10 Games5-2-3
3.18Goals Per Game3.86
3.27Goals Against Per Game3.79
20.59%Power Play Percentage33.07%
73.06%Penalty Kill Percentage76.36%
Monsters
40-29-15, 95pts
Day 104
Wolves
35-40-7, 77pts
Team Stats
W4StreakL1
22-15-5Home Record22-18-2
18-14-10Away Record13-22-5
5-2-3Last 10 Games5-5-0
3.86Goals Per Game3.18
3.79Goals Against Per Game3.18
33.07%Power Play Percentage20.59%
76.36%Penalty Kill Percentage73.06%
IceHogs
45-33-6, 96pts
Day 106
Monsters
40-29-15, 95pts
Team Stats
W2StreakW4
23-17-1Home Record22-15-5
22-16-5Away Record18-14-10
5-1-4Last 10 Games5-2-3
3.95Goals Per Game3.86
3.56Goals Against Per Game3.86
25.11%Power Play Percentage33.07%
69.40%Penalty Kill Percentage76.36%
Monsters
40-29-15, 95pts
Day 108
Admirals
39-36-7, 85pts
Team Stats
W4StreakW1
22-15-5Home Record22-15-5
18-14-10Away Record17-21-2
5-2-3Last 10 Games5-3-2
3.86Goals Per Game3.39
3.79Goals Against Per Game3.39
33.07%Power Play Percentage32.17%
76.36%Penalty Kill Percentage67.84%
Team Leaders
Ryan CarpenterGoals
Ryan Carpenter
41
Ryan CarpenterAssists
Ryan Carpenter
78
Ryan CarpenterPoints
Ryan Carpenter
119
Plus/Minus
Jacob Moverare
24
Wins
Mack Guzda
24
Aaron DellSave Percentage
Aaron Dell
0.869

Team Stats
Goals For
324
3.86 GFG
Shots For
2469
29.39 Avg
Power Play Percentage
33.1%
85 GF
Offensive Zone Start
39.3%
Goals Against
318
3.79 GAA
Shots Against
2222
26.45 Avg
Penalty Kill Percentage
76.4%%
61 GA
Defensive Zone Start
33.1%
Team Info

General ManagerTrent Zeigler
CoachJim Montgomery
DivisionDivision 2
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,225
Season Tickets1,500


Roster Info

Pro Team27
Farm Team15
Contract Limit42 / 100
Prospects40


Team History

This Season40-29-15 (95PTS)
History170-129-39 (0.503%)
Playoff Appearances3
Playoff Record (W-L)8-11
Stanley Cup0


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
1Egor Sokolov (R)X100.008282757084848968506867666048486577670232826,636$
2Cole Guttman (R)X95.006140966861686471906683712548487081660243950,000$
3Jonatan Berggren (R)XX100.006141927167658973446575612554546871650232979,912$
4Vasili Ponomarev (R)X100.007265857567717366816368616247466373640222917,917$
5Connor Zary (R)X100.006865766067767966806563595847466086620221938,424$
6Martin Chromiak (R)X99.007768936770717463505767626047476181620213820,000$
7Rourke Chartier (R)X100.008273996473585863765470666347476276610281873,441$
8Glenn Gawdin (R)XX100.0072697864697478607656626059484861716002711,146,000$
9Michal Teply (R)X100.007971936573707458505757635347475982600221885,010$
10Isak Rosen (R)X100.0068589369617275605057585855474759585902131,450,000$
11Givani SmithXX100.008399487181476958255755602560605850590261769,000$
12Brian Halonen (R)XX100.007674776875565657505060615846465950580253996,000$
13Bobby LynchX100.007466937566616353504656595345455855570251959,649$
14Urho VaakanainenX100.0071439979747058642550477525555558556502521,290,000$
15Alex PetrovicX100.0082817370818087562549496544474755846403211,213,000$
16Jacob MacDonaldX100.0078558867735967682555527075636256656403111,215,000$
17Jacob Moverare (R)X100.007673846873687353255141623946465373600253853,073$
18Nicolas BeaudinX100.006967736869687256255443583949495252590243988,000$
19Roland McKeown (R)X100.0075718065717480512544426040474751505902811,171,000$
20Anttoni Honka (R)X100.006963906865737952254741574047465342580233841,667$
21Spencer Stastney (R)X100.007265947566657046253641584045455324570243925,000$
22Frederic AllardX100.0069667661666064472535415839525249245502611,058,000$
Scratches
1Ryan CarpenterXX100.0082448677735486607864627025686861716503311,100,000$
2Adam Raska (R)XX100.005763436763677249504646524444445117520222910,413$
TEAM AVERAGE99.75736583697067735947545662465050586161
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
1Mack Guzda (R)100.005152658950575661575230464650915802211,157,000$
2Aaron Dell100.005052657449575560565130606050905703411,157,000$
Scratches
1BJ Goalie100.001111110001111120302511,000,000$
TEAM AVERAGE100.0034354455333837403835203636346739
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jim Montgomery76975887666074CAN5321,600,000$


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
1Ryan CarpenterMonsters (CBJ)C/RW774178119-966201811332587314715.89%31155520.21173047481780001179260.50%17625022011.5302121595
2Egor SokolovMonsters (CBJ)LW73385391514775189862838314813.43%25135318.54152944601711019604135.94%645923011.3401645433
3Martin ChromiakMonsters (CBJ)RW84353974-1639251831302267212315.49%30175320.87671323149303111057054.62%1305227000.8427311345
4Rourke ChartierMonsters (CBJ)C8336377372915137131181599919.89%34151518.26912212516313491912258.39%8222726010.9601021452
5Vasili PonomarevMonsters (CBJ)C76304171-645251351412297812413.10%30143218.8478152512922481754060.48%7925423010.9967104336
6Cole GuttmanMonsters (CBJ)C75293867-12801051142288015012.72%18146219.5026810270221291060.75%2934820030.9200000532
7Connor ZaryMonsters (CBJ)C85293867148830104121139419520.86%13137616.197142119940112645252.19%6612023000.9700105462
8Jacob MacDonaldMonsters (CBJ)D761136473341012311912642418.73%77160221.086121827177000168000%02546000.5900101101
9Alex PetrovicMonsters (CBJ)D8483846-42359523616412357656.50%115230727.4771118272120113163010%03370000.4000739021
10Michal TeplyMonsters (CBJ)LW84172340-3774513384120406414.17%18129515.4225714145000011146.81%472413000.6200315013
11Isak RosenMonsters (CBJ)RW81121931-25512281109319311.01%20107213.24000010005701030.30%333218000.5857001011
12Jonatan BerggrenMonsters (CBJ)LW/RW1919928-3403827104255618.27%836119.0464102332000081143.24%371810021.5502000421
13Glenn GawdinMonsters (CBJ)C/RW84111526040201477586255212.79%1297011.5532542903310991059.22%2552214000.5413112011
14Urho VaakanainenMonsters (CBJ)D7822224-6609413911544461.74%83172122.070000471015139100%05147000.2800000011
15Nicolas BeaudinMonsters (CBJ)D8451722-768101299544152211.36%53158418.8634751190001181010%01333000.2800101002
16Roland McKeownMonsters (CBJ)D8421820-15119251491156632333.03%82194723.1911231300110156000%01349000.2100050011
17Brian HalonenMonsters (CBJ)LW/RW675914-83610142728026626.25%1985112.700000160000111045.45%221712000.3300011001
18Jacob MoverareMonsters (CBJ)D632121424744065663923165.13%34112217.82000396000085000%0523000.2500125100
19Jacob PerreaultBlue JacketsRW6874110120793735141620.00%95788.5100005000000227.78%1888000.3800000100
20Bobby LynchMonsters (CBJ)RW774711-70031182971813.79%22613.4000004000000038.89%1883000.8400000001
21Givani SmithMonsters (CBJ)LW/RW752132603611103520.00%02082.78000031011101066.67%300000.2900000001
22Spencer StastneyMonsters (CBJ)D350110001371100%52888.2500001000025000%012000.0700000000
23Frederic AllardMonsters (CBJ)D14000420210000%0906.4700000000070050.00%20200000000000
24Anttoni HonkaMonsters (CBJ)D8100018024226440%115246.48000020000046000%02900000000000
25Trent FredericBlue JacketsLW/RW3000000001000%000.270000000000000%00000000000000
Team Total or Average1710345555900-381148450259719892638875147913.08%7292724015.9391145236316195591322671721391357.79%4959582523090.661430262242354240
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
1Mack GuzdaMonsters (CBJ)48241650.8613.852698021731246726610.50016480120
2Aaron DellMonsters (CBJ)44161290.8693.24233103126960529510.308133648001
3BJ GoalieMonsters (CBJ)30110.21410.826100111430000036000
Team Total or Average954029150.8603.6550920531022201258112298484121


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 Waiver Possible Contract Type Current Salary Salary RemainingSalary AverageSalary 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
Aaron DellMonsters (CBJ)G341989-05-04No205 Lbs6 ft0NoNoNoNo1Pro & Farm1,157,000$120,730$1,157,000$120,730$0$0$NoLink / NHL Link
Adam RaskaMonsters (CBJ)LW/RW222001-09-25Yes178 Lbs5 ft10NoNoNoNo2Pro & Farm910,413$95,000$910,413$95,000$0$0$No910,413$Link
Alex PetrovicMonsters (CBJ)D321992-03-03No216 Lbs6 ft4NoNoNoNo1Pro & Farm1,213,000$126,574$750,000$78,261$0$0$NoLink / NHL Link
Anttoni HonkaMonsters (CBJ)D232000-05-10Yes178 Lbs5 ft10NoNoNoNo3Pro & Farm841,667$87,826$841,667$87,826$0$0$No841,667$841,667$
BJ GoalieMonsters (CBJ)G251998-11-22 7:22:16 AMNo285 Lbs5 ft10NoNoNoNo1Pro & Farm1,000,000$104,348$1,000,000$104,348$0$0$No
Bobby LynchMonsters (CBJ)RW251998-06-16No172 Lbs6 ft2NoNoNoNo1Pro & Farm959,649$100,137$959,649$100,137$0$0$NoLink
Brian HalonenMonsters (CBJ)LW/RW251999-01-11Yes205 Lbs6 ft0NoNoNoNo3Pro & Farm996,000$103,930$996,000$103,930$0$0$No996,000$996,000$Link
Cole GuttmanMonsters (CBJ)C241999-06-04Yes163 Lbs5 ft10NoNoNoNo3Pro & Farm950,000$99,130$950,000$99,130$0$0$No950,000$950,000$
Connor ZaryMonsters (CBJ)C222001-09-25Yes178 Lbs6 ft0NoNoNoNo1Pro & Farm938,424$97,923$938,424$97,923$0$0$NoLink
Egor SokolovMonsters (CBJ)LW232000-06-07Yes215 Lbs6 ft5NoNoNoNo2Pro & Farm826,636$86,258$826,636$86,258$0$0$No826,636$Link
Frederic AllardMonsters (CBJ)D261997-12-27No179 Lbs6 ft1NoNoNoNo1Pro & Farm1,058,000$110,400$1,058,000$110,400$0$0$NoLink / NHL Link
Givani SmithMonsters (CBJ)LW/RW261998-02-27No210 Lbs6 ft2NoNoNoNo1Pro & Farm769,000$80,243$779,512$81,340$0$0$NoLink / NHL Link
Glenn GawdinMonsters (CBJ)C/RW271997-03-25Yes185 Lbs6 ft1NoNoNoNo1Pro & Farm1,146,000$119,583$851,741$88,877$0$0$NoLink / NHL Link
Isak RosenMonsters (CBJ)RW212003-03-15Yes156 Lbs5 ft11NoNoNoNo3Pro & Farm1,450,000$151,304$1,450,000$151,304$0$0$No1,450,000$1,450,000$
Jacob MacDonaldMonsters (CBJ)D311993-02-26No204 Lbs6 ft0NoNoNoNo1Pro & Farm1,215,000$126,783$1,215,000$126,783$0$0$NoLink / NHL Link
Jacob MoverareMonsters (CBJ)D251998-08-31Yes198 Lbs6 ft2NoNoNoNo3Pro & Farm853,073$89,016$853,073$89,016$0$0$No1,133,000$1,133,000$Link
Jonatan BerggrenMonsters (CBJ)LW/RW232000-07-16Yes183 Lbs5 ft10NoNoNoNo2Pro & Farm979,912$102,252$979,912$102,252$0$0$No979,912$Link
Mack GuzdaMonsters (CBJ)G222001-11-01Yes215 Lbs6 ft5NoNoNoNo1Pro & Farm1,157,000$120,730$1,157,000$120,730$0$0$NoLink
Martin ChromiakMonsters (CBJ)RW212002-08-20Yes187 Lbs6 ft0NoNoNoNo3Pro & Farm820,000$85,565$820,000$85,565$0$0$No820,000$820,000$
Michal TeplyMonsters (CBJ)LW222001-05-27Yes187 Lbs6 ft3NoNoNoNo1Pro & Farm885,010$92,349$885,010$92,349$0$0$NoLink
Nicolas BeaudinMonsters (CBJ)D241999-10-07No188 Lbs5 ft11NoNoNoNo3Pro & Farm988,000$103,096$988,000$103,096$0$0$No988,000$988,000$Link
Roland McKeownMonsters (CBJ)D281996-01-20Yes194 Lbs6 ft1NoNoNoNo1Pro & Farm1,171,000$122,191$1,171,000$122,191$0$0$NoLink
Rourke ChartierMonsters (CBJ)C281996-04-03Yes203 Lbs6 ft0NoNoNoNo1Pro & Farm873,441$91,142$873,441$91,142$0$0$NoLink
Ryan CarpenterMonsters (CBJ)C/RW331991-01-18No200 Lbs6 ft0NoNoNoNo1Pro & Farm1,100,000$114,783$1,100,000$114,783$0$0$NoLink / NHL Link
Spencer StastneyMonsters (CBJ)D242000-04-01Yes180 Lbs5 ft10NoNoNoNo3Pro & Farm925,000$96,522$925,000$96,522$0$0$No925,000$925,000$
Urho VaakanainenMonsters (CBJ)D251999-01-01No196 Lbs6 ft2NoNoNoNo2Pro & Farm1,290,000$134,609$750,000$78,261$0$0$No1,290,000$Link / NHL Link
Vasili PonomarevMonsters (CBJ)C222002-03-13Yes181 Lbs5 ft10NoNoNoNo2Pro & Farm917,917$95,783$917,917$95,783$0$0$No917,917$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2725.30194 Lbs6 ft01.781,014,487$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Cole GuttmanConnor ZaryMartin Chromiak40122
2Michal TeplyVasili PonomarevRourke Chartier30122
3Martin ChromiakCole GuttmanVasili Ponomarev20122
4Cole GuttmanGlenn GawdinVasili Ponomarev10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas BeaudinAlex Petrovic40122
2Roland McKeownJacob MacDonald30122
3Jacob MoverareAlex Petrovic20122
4Alex PetrovicRoland McKeown10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Vasili PonomarevConnor ZaryCole Guttman60122
2Michal TeplyGlenn GawdinMartin Chromiak40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas BeaudinAlex Petrovic60122
2Roland McKeownJacob MacDonald40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Cole GuttmanVasili Ponomarev60122
2Martin ChromiakGlenn Gawdin40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas BeaudinAlex Petrovic60122
2Roland McKeownJacob MacDonald40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Martin Chromiak60122Jacob MacDonaldAlex Petrovic60122
2Cole Guttman40122Roland McKeownNicolas Beaudin40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Cole GuttmanVasili Ponomarev60122
2Martin ChromiakGlenn Gawdin40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas BeaudinAlex Petrovic60122
2Roland McKeownJacob Moverare40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Cole GuttmanVasili PonomarevMartin ChromiakJacob MacDonaldAlex Petrovic
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Vasili PonomarevCole GuttmanMartin ChromiakJacob MacDonaldAlex Petrovic
Extra Forwards
Normal PowerPlayPenalty Kill
Martin Chromiak, Cole Guttman, Glenn GawdinMartin Chromiak, Glenn GawdinMartin Chromiak
Extra Defensemen
Normal PowerPlayPenalty Kill
Nicolas Beaudin, Roland McKeown, Alex PetrovicAlex PetrovicRoland McKeown, Alex Petrovic
Penalty Shots
Vasili Ponomarev, Michal Teply, Martin Chromiak, Glenn Gawdin, Cole Guttman
Goalie
#1 : Mack Guzda, #2 : Aaron Dell


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
1Admirals1010000035-21010000035-20000000000000.000347108111012716316779098704324419414250.00%2150.00%01026170260.28%810143156.60%721119460.39%166777115728771856907
2Americans2200000013310110000004221100000091841.0001317300081110127163467790987043381224572150.00%20100.00%01026170260.28%810143156.60%721119460.39%166777115728771856907
3Barracuda613001011623-73110010089-130200001814-640.33316264200811101271616667790987043132463918911436.36%17194.12%21026170260.28%810143156.60%721119460.39%166777115728771856907
4Bears21000100651110000004221000010023-130.750611170081110127166367790987043421816453133.33%8275.00%01026170260.28%810143156.60%721119460.39%166777115728771856907
5Bruins21000100642110000004131000010023-130.7506915008111012716706779098704339138707228.57%40100.00%01026170260.28%810143156.60%721119460.39%166777115728771856907
6Canucks220000001349110000009361100000041341.0001317300081110127164367790987043371020584125.00%5260.00%01026170260.28%810143156.60%721119460.39%166777115728771856907
7Checkers21000010743110000005321000001021141.00078150081110127164667790987043361427758337.50%60100.00%01026170260.28%810143156.60%721119460.39%166777115728771856907
8Comets75000011261412320000017254300001019127130.92926396503811101271622667790987043144547621418738.89%28678.57%21026170260.28%810143156.60%721119460.39%166777115728771856907
9Condors20100100512-71010000017-61000010045-110.2505914008111012716456779098704392203343300.00%9188.89%01026170260.28%810143156.60%721119460.39%166777115728771856907
10Crunch2010000137-41010000003-31000000134-110.2503690081110127166167790987043541122772150.00%6266.67%01026170260.28%810143156.60%721119460.39%166777115728771856907
11Eagles211000008621010000013-21100000073420.500814220081110127165567790987043511529728225.00%70100.00%01026170260.28%810143156.60%721119460.39%166777115728771856907
12Griffins2100100018991100000012481000100065141.000182442008111012716296779098704349167314375.00%10100.00%01026170260.28%810143156.60%721119460.39%166777115728771856907
13Gulls220000001688110000009451100000074341.000162945008111012716676779098704342949787228.57%2150.00%01026170260.28%810143156.60%721119460.39%166777115728771856907
14Heat22000000752110000003211100000043141.00071118008111012716576779098704350149607228.57%220.00%01026170260.28%810143156.60%721119460.39%166777115728771856907
15IceHogs73200200403643210000019154411002002121080.571406610600811101271624667790987043216644116421523.81%18666.67%11026170260.28%810143156.60%721119460.39%166777115728771856907
16Islanders1000010034-1000000000001000010034-110.50034700811101271626677909870433179355120.00%20100.00%01026170260.28%810143156.60%721119460.39%166777115728771856907
17Marlies2110000010821010000025-31100000083520.50010172700811101271668677909870436224438010440.00%9455.56%01026170260.28%810143156.60%721119460.39%166777115728771856907
18Moose2020000016-51010000003-31010000013-200.000112008111012716356779098704328830675120.00%5340.00%01026170260.28%810143156.60%721119460.39%166777115728771856907
19Penguins1010000007-7000000000001010000007-700.000000008111012716166779098704337143219100.00%6266.67%01026170260.28%810143156.60%721119460.39%166777115728771856907
20Phantoms301000111516-11000001076120100001810-230.50015243900811101271697677909870438932191029444.44%7442.86%11026170260.28%810143156.60%721119460.39%166777115728771856907
21Reign20100100510-51000010012-11010000048-410.2505813008111012716636779098704335922725120.00%60100.00%01026170260.28%810143156.60%721119460.39%166777115728771856907
22Roadrunners2000010179-21000010034-11000000145-120.5007121900811101271660677909870434217215410550.00%3166.67%01026170260.28%810143156.60%721119460.39%166777115728771856907
23Rocket605010001629-1340400000820-122010100089-120.16716254110811101271618167790987043184558914822522.73%27677.78%01026170260.28%810143156.60%721119460.39%166777115728771856907
24Senators734000002733-6422000001619-3312000001114-360.42927437000811101271624267790987043233669418635925.71%27677.78%01026170260.28%810143156.60%721119460.39%166777115728771856907
25Silver Knights2010000157-21000000134-11010000023-110.25058130081110127165367790987043571412493133.33%6266.67%11026170260.28%810143156.60%721119460.39%166777115728771856907
26Stars21100000770110000004221010000035-220.500713200081110127167667790987043682325705240.00%5180.00%11026170260.28%810143156.60%721119460.39%166777115728771856907
27Thunderbirds21100000910-1110000006511010000035-220.500913220081110127166867790987043752024537114.29%7185.71%11026170260.28%810143156.60%721119460.39%166777115728771856907
28Wild2010001058-3100000105411010000004-420.50056110081110127165267790987043672143515240.00%13376.92%01026170260.28%810143156.60%721119460.39%166777115728771856907
29Wolf Pack22000000945110000007431100000020241.00091423018111012716536779098704332725628450.00%5260.00%01026170260.28%810143156.60%721119460.39%166777115728771856907
30Wolves54100000181533210000088022000000107380.80018314901811101271614067790987043136468611918950.00%13284.62%01026170260.28%810143156.60%721119460.39%166777115728771856907
Total84342902946324318642201500322159151842141402624165167-2950.565324509833258111012716246967790987043222268399324412578533.07%2586176.36%91026170260.28%810143156.60%721119460.39%166777115728771856907
_Since Last GM Reset84342902946324318642201500322159151842141402624165167-2950.565324509833258111012716246967790987043222268399324412578533.07%2586176.36%91026170260.28%810143156.60%721119460.39%166777115728771856907
_Vs Conference54231901524205204128131100112104103126108014121011010610.565205328533158111012716164567790987043146543663715081645231.71%1804077.78%61026170260.28%810143156.60%721119460.39%166777115728771856907
_Vs Division201615013128087-7109900101414101076012113946-7411.0258012920910811101271662367790987043571172232572652030.77%601673.33%31026170260.28%810143156.60%721119460.39%166777115728771856907

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8495W432450983324692222683993244125
All Games
GPWLOTWOTL SOWSOLGFGA
8434292946324318
Home Games
GPWLOTWOTL SOWSOLGFGA
4220150322159151
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4214142624165167
Last 10 Games
WLOTWOTL SOWSOL
520102
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2578533.07%2586176.36%9
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
677909870438111012716
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1026170260.28%810143156.60%721119460.39%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
166777115728771856907


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
14IceHogs1Monsters8BWBoxScore
222Monsters6Comets5AWXXBoxScore
342Senators7Monsters5BLBoxScore
563Rocket6Monsters4BLBoxScore
782Monsters6Comets4AWBoxScore
891Monsters7IceHogs4AWBoxScore
9106Monsters8Wolves6AWBoxScore
10118Barracuda5Monsters6BWBoxScore
11136Monsters1Senators3ALBoxScore
12148Rocket5Monsters2BLBoxScore
13170Marlies5Monsters2BLBoxScore
14187Wolves1Monsters3BWBoxScore
15202Monsters2Barracuda5ALBoxScore
17219Monsters4Comets3AWBoxScore
18228Senators6Monsters1BLBoxScore
19240Monsters7Phantoms8ALXXBoxScore
20259IceHogs5Monsters7BWBoxScore
22285Bruins1Monsters4BWBoxScore
23303Monsters7Gulls4AWBoxScore
24315Wolf Pack4Monsters7BWBoxScore
25324Monsters6IceHogs7ALXBoxScore
26344Eagles3Monsters1BLBoxScore
27355Monsters1IceHogs2ALBoxScore
29376Stars2Monsters4BWBoxScore
30391Monsters7Eagles3AWBoxScore
31406Phantoms6Monsters7BWXXBoxScore
32412Monsters4Rocket3AWXBoxScore
34434Monsters4Senators6ALBoxScore
35446Rocket6Monsters1BLBoxScore
37464Monsters2Barracuda4ALBoxScore
38477Senators4Monsters6BWBoxScore
39500Admirals5Monsters3BLBoxScore
40510Monsters3Thunderbirds5ALBoxScore
42529IceHogs9Monsters4BLBoxScore
43539Monsters4Reign8ALBoxScore
44559Monsters3Stars5ALBoxScore
45568Monsters2Bruins3ALXBoxScore
46581Barracuda2Monsters1BLBoxScore
47605Roadrunners4Monsters3BLXBoxScore
48622Crunch3Monsters0BLBoxScore
49638Monsters2Silver Knights3ALBoxScore
51654Comets0Monsters3BWBoxScore
52668Monsters4Rocket6ALBoxScore
53676Monsters4Barracuda5ALXXBoxScore
54692Monsters3Islanders4ALXBoxScore
55703Bears2Monsters4BWBoxScore
56718Monsters8Marlies3AWBoxScore
58734Reign2Monsters1BLXBoxScore
59756Gulls4Monsters9BWBoxScore
60768Monsters0Wild4ALBoxScore
61781Wild4Monsters5BWXXBoxScore
64810Checkers3Monsters5BWBoxScore
65820Monsters3Crunch4ALXXBoxScore
67844Comets2Monsters1BLXXBoxScore
68860Monsters2Bears3ALXBoxScore
69874Monsters6Senators5AWBoxScore
70882Thunderbirds5Monsters6BWBoxScore
72904Canucks3Monsters9BWBoxScore
73921Monsters1Moose3ALBoxScore
74934Heat2Monsters3BWBoxScore
76949Monsters7IceHogs8ALXBoxScore
77965Senators2Monsters4BWBoxScore
78973Monsters3Comets0AWBoxScore
79990Monsters1Phantoms2ALBoxScore
801002Monsters4Heat3AWBoxScore
811014Rocket3Monsters1BLBoxScore
821035Barracuda2Monsters1BLXBoxScore
841059Comets0Monsters3BWBoxScore
851076Monsters9Americans1AWBoxScore
861090Condors7Monsters1BLBoxScore
881103Monsters2Checkers1AWXXBoxScore
891121Moose3Monsters0BLBoxScore
901133Monsters2Wolf Pack0AWBoxScore
911146Monsters4Canucks1AWBoxScore
921160Wolves7Monsters2BLBoxScore
931171Monsters4Roadrunners5ALXXBoxScore
941184Monsters0Penguins7ALBoxScore
951200Silver Knights4Monsters3BLXXBoxScore
971220Griffins4Monsters12BWBoxScore
981238Monsters4Condors5ALXBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
991246Monsters2Wolves1AWBoxScore
1011259Monsters6Griffins5AWXBoxScore
1021269Americans2Monsters4BWBoxScore
1031292Wolves0Monsters3BWBoxScore
1041303Monsters-Wolves-
1061322IceHogs-Monsters-
1081340Monsters-Admirals-
1091352Penguins-Monsters-
1111370Islanders-Monsters-
1121374Monsters-Rocket-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance60,83932,592
Attendance PCT72.43%77.60%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
3 2225 - 74.15% 92,885$3,901,184$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,668,033$ 2,739,114$ 2,610,439$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
23,818$ 2,234,994$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
278,656$ 12 37,731$ 452,772$




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
1Glenn Gawdin342108165273-4430154656569815.47%105623918.2435417692641030171055.87%10.88927
2Givani Smith329901242142142047333261514.63%88499315.18123648795161313436.02%10.86110
3Ryan Carpenter774178119-96618113325815.89%31155520.211730474800019260.50%11.5302
4Luke Johnson2676648114226426923632220.50%66363213.6116143035000212459.73%10.6329
5Kenny Agostino733765102614410712625314.62%56164122.481222343001144148.64%21.24411

Monsters Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Christopher Gibson2119480310.8752.8312225415576460525301570.57177
2Jacob Ingham4424540.8802.90217501105874455200.83318
3Mack Guzda48241650.8613.852698021731246726610.50016
4Aaron Dell44161290.8693.24233103126960529510.30813
5Billy Christopoulos197910.8513.029740149328191001.0007

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
Regular Season
2020904025066672962484845171102546152128244523140412114412024117296454750196810810823200156570969282193973683415682327030.17%1394964.75%3711140850.50%702137850.94%589113451.94%1679705163395121611104
202190442103868311237744524501645174117574520160222313712017122311492803357799126182311606810869742228733114116502037938.92%2695778.81%10787152451.64%848170149.85%617114453.93%1685733171197220861030
2022921754051132185315-130469300241091156-65468240372294159-656318527946435355686101452318476641301984669110616042235524.66%2126370.28%11673125253.75%757134256.41%560101155.39%15265201755102122861159
202384342902946324318642201500322159151842141402624165167-295324509833258111012716246967790987043222268399324412578533.07%2586176.36%91026170260.28%810143156.60%721119460.39%166777115728771856907
Total Regular Season35613512901634192311161118-217870610518111357655224178656801116810540566-26397111617342850924261373447678233216629043072229837328214074726391528931.58%87823073.80%333197588654.32%3117585253.26%2487448355.48%655827306673382283904202
Playoff
20205140000036-3211000001103030000025-3234701003063621288751914589222.22%2150.00%0356553.85%295354.72%133537.14%8727936014674
2021147700000434127430000026224734000001719-214437211501521170406991831240357122232245521223.08%511178.43%116231651.27%13628547.72%9618452.17%265124271150303149
Total Playoff19811000004647-195400000272341037000001924-5164676122025212004691052041528432141246303611422.95%531277.36%119738151.71%16533848.82%10921949.77%352151364211449223

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
1141192061221246816.18%1133523.946281500002145.36%11.1911
219712195321829719.86%738320.201561301140129.17%10.9900
3146121865421382821.43%732523.28156700010056.20%01.1000
4193811062742545.56%737419.74134610141049.55%00.5900
51929112531261414.29%329915.74134400001025.00%00.7400

Monsters Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1147700.8932.7877701363371750000
271040.8841.70389011195520000