Please rotate your device to landscape mode for a better experience.
Login

Gorillas
GP: 65 | W: 26 | L: 31 | OTL: 8 | P: 60
GF: 208 | GA: 246 | PP%: 25.00% | PK%: 71.08%
GM : Patrick | Morale : 79 | Team Overall : N/A
Next Games #1000 vs Blossom Bytes

Game Center
Gorillas
26-31-8, 60pts
3
FINAL
4 Redhawks
30-26-5, 65pts
Team Stats
OTL1StreakL1
14-13-4Home Record16-12-3
12-18-4Home Record14-14-2
6-3-1Last 10 Games4-5-1
3.20Goals Per Game3.90
3.78Goals Against Per Game3.84
25.00%Power Play Percentage25.74%
71.08%Penalty Kill Percentage70.83%
Octopus
32-24-2, 66pts
5
FINAL
4 Gorillas
26-31-8, 60pts
Team Stats
W3StreakOTL1
21-10-1Home Record14-13-4
11-14-1Home Record12-18-4
7-3-0Last 10 Games6-3-1
4.22Goals Per Game3.20
3.86Goals Against Per Game3.78
31.25%Power Play Percentage25.00%
71.31%Penalty Kill Percentage71.08%
Gorillas
26-31-8, 60pts
Day 140
Blossom Bytes
43-14-4, 90pts
Team Stats
OTL1StreakW3
14-13-4Home Record21-8-2
12-18-4Away Record22-6-2
6-3-1Last 10 Games8-1-1
3.20Goals Per Game4.54
3.78Goals Against Per Game4.54
25.00%Power Play Percentage30.15%
71.08%Penalty Kill Percentage73.55%
Gorillas
26-31-8, 60pts
Day 142
Bulldogs
33-27-4, 70pts
Team Stats
OTL1StreakL2
14-13-4Home Record15-16-0
12-18-4Away Record18-11-4
6-3-1Last 10 Games3-6-1
3.20Goals Per Game3.38
3.78Goals Against Per Game3.38
25.00%Power Play Percentage33.94%
71.08%Penalty Kill Percentage72.51%
Americans
30-27-6, 66pts
Day 143
Gorillas
26-31-8, 60pts
Team Stats
W3StreakOTL1
15-11-5Home Record14-13-4
15-16-1Away Record12-18-4
8-2-0Last 10 Games6-3-1
3.46Goals Per Game3.20
3.83Goals Against Per Game3.20
32.96%Power Play Percentage25.00%
69.10%Penalty Kill Percentage71.08%
Team Leaders
Goals
Adam Gaudette
38
Assists
Adam Gaudette
38
Points
Adam Gaudette
76
Plus/Minus
Adam Gaudette
10
Wins
Adam Huska
12
Save Percentage
Tomas Suchanek
0.9

Team Stats
Goals For
208
3.20 GFG
Shots For
1783
27.43 Avg
Power Play Percentage
25.0%
70 GF
Offensive Zone Start
36.5%
Goals Against
246
3.78 GAA
Shots Against
2067
31.80 Avg
Penalty Kill Percentage
71.1%%
83 GA
Defensive Zone Start
37.8%
Team Info

General ManagerPatrick
CoachKarl Taylor
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity8,000
Attendance8,000
Season Tickets800


Roster Info

Pro Team28
Farm Team19
Contract Limit47 / 65
Prospects14


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
1Aidan DudasX100.0060606060607070606060606060556107900241650,000$
2Vladimir TarasenkoXX100.00675095818281947561716968656868078003314,750,000$
3Adam TambelliniXXX100.0060606060607070606060606060596706100301650,000$
4Adam MascherinXX100.0060606060607070606060606060596304500261787,500$
5Justin SourdifXX100.00605082716976846461646465655155071002221,023,750$
6Sasha PastujovXX100.00606060606070706060606060604355068002121,312,500$
7Otto KivenmakiXXX100.0060606060607070606060606060495506300241735,000$
8Lenni HameenahoXX100.00606060606070706060606060604055069012021,500,000$
9Felix Unger SorumXX100.00606060606070706060606060604055072011921,250,000$
10Jimmy Snuggerud (R)X100.00606060606070706060606060604655046002031,500,000$
11Tyler Thorpe (R)X100.0060606060607070606060606060465507900193750,000$
12Tom HedbergX100.0060606060607070606060606060554405400251787,500$
13Anttoni HonkaX100.00606060606070706060606060605155067002411,023,750$
14Kyle MastersX100.0060606060607070606060606060405505400211825,000$
15Shai BuiumX100.00606060606070706060606060604055070012121,500,000$
16Ryan UfkoX100.0062509470678293622564616865405506401212825,000$
17Otto SalinX100.0060606060607070606060606060405507301202825,000$
Scratches
1Adam GaudetteXX96.9268509480717794736865736765606706800281650,000$
2Carson LatimerXX100.0060606060607070606060606060405503700211825,000$
3Luke TuchXX100.00606060606070706060606060604055068012211,250,000$
4Connor Kurth (R)XXX100.0060606060607070606060606060465507500212750,000$
5Trevor Connelly (R)X100.00606060606070706060606060604255036001831,500,000$
6Helge GransX36.15605089687881936425656370655057044002221,378,125$
7Arttu Karki (R)X100.0060606060607070606060606060445506400203975,000$
TEAM AVERAGE97.176158666363727562586161626148570630
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
1Adam Huska99.006070706060606060606060586703900271650,000$
2Kirill Gerasimyuk (R)100.006070706060606060606060405504300212750,000$
Scratches
1Niklas Kokko100.006070706060606060606060405506900201975,000$
2Tomas Suchanek93.836070706060606060606060405504800211750,000$
TEAM AVERAGE98.00607070606060606060606045580500
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Karl Taylor6565656563681CAN541600,000$


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
1Adam GaudetteGorillas (CBS)LW/RW60383876103735751012959313212.88%41135222.5513162941175101101545446.02%1767633021.1200106773
2Justin SourdifGorillas (CBS)LW/RW62253661-15603083922136213811.74%36128420.72613192113701161293349.06%2654318000.9501303273
3Vladimir TarasenkoGorillas (CBS)LW/RW57292958-1443076992147013713.55%37121721.36106162914410191332050.57%5245226010.9513213546
4Adam TambelliniGorillas (CBS)C/LW/RW61132538-1222712510196108386212.04%34116219.06710172918000091121047.19%7481617000.65154714012
5Aidan DudasGorillas (CBS)C5812203218840998876244415.79%2194316.272810101050003630049.28%6211416000.6801224114
6Felix Unger SorumGorillas (CBS)LW/RW50151631-24915634876274719.74%1673614.746915181070002572240.74%54158000.8412111302
7Adam MascherinGorillas (CBS)LW/RW51141630-1512480646878235717.95%2683616.414711201111014353146.50%2431213000.7201475221
8Otto KivenmakiGorillas (CBS)C/LW/RW4991625-77155746575275312.00%2280216.374711131090003740146.79%5601413000.6201236103
9Helge GransGorillas (CBS)D53222240604042726524233.08%87122123.052911151560003152000%21641000.3900341001
10Ryan UfkoGorillas (CBS)D63121227323031756831321.47%89130620.7415671340114152100%01641000.3400312000
11Jimmy SnuggerudGorillas (CBS)RW321161717345393054153920.37%743413.5841513680001231044.00%5089000.7802324121
12Otto SalinGorillas (CBS)D552131531589048394116204.88%53101518.460331107011070000%0932000.3011549000
13Tyler ThorpeGorillas (CBS)RW52961596220524341154221.95%456810.9300000000000048.31%207410000.5300112120
14Kyle MastersGorillas (CBS)D3411314-2714529463020133.33%2866919.70123855000074100%0716000.4200333000
15Sasha PastujovGorillas (CBS)LW/RW514610-24593556496022356.67%861212.002247490000120051.68%14986000.3300142000
16Anttoni HonkaGorillas (CBS)D462810-231065032495214203.85%4487118.94235782000476000%0729000.2300217000
17Shai BuiumGorillas (CBS)D552810-181568059625412173.70%61108719.7824691060111119000%01429000.1800664010
18Arttu KarkiGorillas (CBS)D42189-287553033301593.33%4779018.8301166700016200100.00%11230000.2300128100
19Tom HedbergGorillas (CBS)D45178-15883050413910122.56%4688719.71167710700009201100.00%2516000.1800132001
20Trevor ConnellyGorillas (CBS)LW284481594541143251512.50%534312.2600013000002071.43%1415000.4700153020
21Lenni HameenahoGorillas (CBS)LW/RW413475462024132361613.04%32927.14213317000002062.96%8123000.4800031100
22Connor KurthGorillas (CBS)C/LW/RW49437-3352525252262318.18%42685.4710114000040146.91%8141000.5200203010
23Luke TuchGorillas (CBS)LW/RW45235-511524171841711.11%62435.4000002000001055.00%2034000.4100001010
24Carson LatimerGorillas (CBS)LW/RW31213-82420211519101610.53%42558.2500005000000050.00%827000.2300211000
Team Total or Average1170206329535-11518271045123812801783589101911.55%7291920516.42701131832662042347601602241348.55%3806360423030.56417536195253127
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
1Adam HuskaGorillas (CBS)37121740.8813.47198700115966554310.6005361111
2Tomas SuchanekGorillas (CBS)166610.9003.397250141412232100.50021111100
3Kirill GerasimyukGorillas (CBS)205430.8813.868400054455252100.57171240011
4Niklas KokkoGorillas (CBS)93400.8674.9137900312331311000613010
Team Total or Average82263180.8833.683932012412066116961146565232


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 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
Adam GaudetteGorillas (CBS)LW/RW281996-10-03USANo187 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm650,000$169,415$65,000$16,941$No---------------------------
Adam HuskaGorillas (CBS)G271997-05-12SVKNo198 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm650,000$169,415$65,000$16,941$No---------------------------
Adam MascherinGorillas (CBS)LW/RW261998-06-06CANNo205 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm787,500$205,253$78,750$20,525$No---------------------------
Adam TambelliniGorillas (CBS)C/LW/RW301994-11-01CANNo194 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm650,000$169,415$65,000$16,941$No---------------------------
Aidan DudasGorillas (CBS)C242000-06-15CANNo185 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm650,000$169,415$65,000$16,941$No---------------------------
Anttoni HonkaGorillas (CBS)D242000-10-05FINNo179 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$266,828$102,375$26,683$No---------------------------
Arttu KarkiGorillas (CBS)D202004-12-08FINYes181 Lbs6 ft0NoNoProspectNoNo32025-08-20FalseFalsePro & Farm975,000$254,122$97,500$25,412$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Carson LatimerGorillas (CBS)LW/RW212003-01-10CANNo185 Lbs7 ft3NoNoN/ANoNo1FalseFalsePro & Farm825,000$215,027$82,500$21,503$No---------------------------
Connor KurthGorillas (CBS)C/LW/RW212003-07-30USAYes212 Lbs5 ft10NoNoProspectNoNo22025-08-20FalseFalsePro & Farm750,000$195,479$75,000$19,548$No750,000$--------750,000$--------No--------
Felix Unger SorumGorillas (CBS)LW/RW192005-09-14SWENo172 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$325,798$125,000$32,580$No1,250,000$--------1,250,000$--------No--------
Helge Grans (Out of Payroll)Gorillas (CBS)D222002-05-10SWENo205 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,378,125$359,192$137,812$35,919$No1,378,125$--------1,378,125$--------No--------
Jimmy SnuggerudGorillas (CBS)RW202004-06-01USAYes187 Lbs6 ft0NoNoProspectNoNo32025-08-20FalseFalsePro & Farm1,500,000$390,957$150,000$39,096$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Justin SourdifGorillas (CBS)LW/RW222002-03-24CANNo181 Lbs5 ft11NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$266,828$102,375$26,683$No1,023,750$--------1,023,750$--------No--------
Kirill GerasimyukGorillas (CBS)G212003-08-22RUSYes179 Lbs6 ft0NoNoProspectNoNo22025-08-20FalseFalsePro & Farm750,000$195,479$75,000$19,548$No750,000$--------750,000$--------No--------
Kyle MastersGorillas (CBS)D212003-04-09CANNo183 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm825,000$215,027$82,500$21,503$No---------------------------
Lenni HameenahoGorillas (CBS)LW/RW202004-11-07FINNo185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$390,957$150,000$39,096$No1,500,000$--------1,500,000$--------No--------
Luke TuchGorillas (CBS)LW/RW222002-03-07USANo203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$325,798$125,000$32,580$No---------------------------
Niklas KokkoGorillas (CBS)G202004-03-14FINNo192 Lbs7 ft2NoNoN/ANoNo1FalseFalsePro & Farm975,000$254,122$97,500$25,412$No---------------------------
Otto KivenmakiGorillas (CBS)C/LW/RW242000-03-24FINNo172 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm735,000$191,569$73,500$19,157$No---------------------------
Otto SalinGorillas (CBS)D202004-03-07FINNo192 Lbs5 ft11NoNoProspectNoNo22024-08-30FalseFalsePro & Farm825,000$215,027$82,500$21,503$No825,000$--------825,000$--------No--------
Ryan UfkoGorillas (CBS)D212003-05-07USANo174 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm825,000$215,027$82,500$21,503$No825,000$--------825,000$--------No--------
Sasha PastujovGorillas (CBS)LW/RW212003-07-15USANo187 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$342,088$131,250$34,209$No1,312,500$--------1,312,500$--------No--------
Shai BuiumGorillas (CBS)D212003-03-26USANo220 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$390,957$150,000$39,096$No1,500,000$--------1,500,000$--------No--------
Tom HedbergGorillas (CBS)D251999-08-10SWENo179 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm787,500$205,253$78,750$20,525$No---------------------------
Tomas Suchanek (Out of Payroll)Gorillas (CBS)G212003-04-30CZENo181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$195,479$65,000$16,941$No---------------------------
Trevor ConnellyGorillas (CBS)LW182006-02-28USAYes165 Lbs5 ft11NoNoDraftNoNo32025-08-20FalseFalsePro & Farm1,500,000$390,957$150,000$39,096$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Tyler ThorpeGorillas (CBS)RW192005-08-11CANYes220 Lbs6 ft3NoNoDraftNoNo32025-08-20FalseFalsePro & Farm750,000$195,479$75,000$19,548$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Vladimir TarasenkoGorillas (CBS)LW/RW331991-12-13RUSNo219 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm4,750,000$1,238,032$475,000$123,803$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2822.54190 Lbs6 ft21.641,112,433$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Vladimir TarasenkoOtto KivenmakiJimmy Snuggerud28122
2Adam TambelliniAidan DudasAdam Mascherin28122
3Sasha PastujovJustin SourdifTyler Thorpe25122
4Justin SourdifVladimir TarasenkoLenni Hameenaho19122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan Ufko40122
2Kyle MastersShai Buium35122
3Otto SalinAnttoni Honka25122
4Otto Salin0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Vladimir TarasenkoOtto KivenmakiJustin Sourdif50122
2Adam TambelliniAidan DudasAdam Mascherin50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Otto Salin50122
2Ryan UfkoShai Buium50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Vladimir TarasenkoJustin Sourdif50122
2Otto KivenmakiAidan Dudas50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Otto Salin50122
2Ryan UfkoShai Buium50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Vladimir Tarasenko50122Otto Salin50122
2Otto Kivenmaki50122Kyle MastersShai Buium50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Vladimir TarasenkoAdam Tambellini50122
2Otto KivenmakiAidan Dudas50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Otto Salin50122
2Ryan UfkoShai Buium50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Vladimir TarasenkoOtto KivenmakiJustin SourdifRyan Ufko
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Vladimir TarasenkoOtto KivenmakiJustin SourdifRyan Ufko
Extra Forwards
Normal PowerPlayPenalty Kill
Felix Unger Sorum, Vladimir Tarasenko, Sasha PastujovFelix Unger Sorum, Vladimir TarasenkoSasha Pastujov
Extra Defensemen
Normal PowerPlayPenalty Kill
Otto Salin, Shai Buium, Otto Salin, Otto Salin
Penalty Shots
Vladimir Tarasenko, Sasha Pastujov, Otto Kivenmaki, Aidan Dudas, Adam Tambellini
Goalie
#1 : Adam Huska, #2 : Kirill Gerasimyuk


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
1Admirals1010000024-21010000024-20000000000000.000224005199563215376545812623121819400.00%4175.00%0662138847.69%695143748.36%49198150.05%124055812986731398710
2Americans21100000990211000009900000000000020.5009152400519956357537654581266412904711327.27%10370.00%0662138847.69%695143748.36%49198150.05%124055812986731398710
3Bears11000000523110000005230000000000021.00058130051995632753765458126291262611100.00%3233.33%0662138847.69%695143748.36%49198150.05%124055812986731398710
4Bills624000002129-8422000001616020200000513-840.333213556005199563163537654581262066633011531825.81%35974.29%0662138847.69%695143748.36%49198150.05%124055812986731398710
5Blood Miners522001001418-432000100121022020000028-650.50014183200519956314553765458126185751479723417.39%26869.23%1662138847.69%695143748.36%49198150.05%124055812986731398710
6Bulldogs32000001972210000016511100000032150.833913220051995637553765458126732996699444.44%14471.43%1662138847.69%695143748.36%49198150.05%124055812986731398710
7Crunch2010000136-3000000000002010000136-310.2503580051995634553765458126531417314250.00%6183.33%0662138847.69%695143748.36%49198150.05%124055812986731398710
8Eagles302000101213-11010000045-12010001088020.333121628005199563815376545812613454596111327.27%17664.71%0662138847.69%695143748.36%49198150.05%124055812986731398710
9Griffins633000001821-3422000001015-52110000086260.50018304800519956315753765458126162641589830723.33%19763.16%0662138847.69%695143748.36%49198150.05%124055812986731398710
10Grisards1010000025-3000000000001010000025-300.000235005199563245376545812626112118400.00%8187.50%0662138847.69%695143748.36%49198150.05%124055812986731398710
11Mountaineers31200000913-41010000038-52110000065120.3339152401519956373537654581267823514410440.00%13469.23%0662138847.69%695143748.36%49198150.05%124055812986731398710
12Norsemen11000000642000000000001100000064221.0006101600519956331537654581262912242322100.00%7271.43%0662138847.69%695143748.36%49198150.05%124055812986731398710
13Octopus301001101314-1200001109901010000045-130.500131932005199563975376545812613243965614321.43%13284.62%0662138847.69%695143748.36%49198150.05%124055812986731398710
14Phantoms11000000431000000000001100000043121.00047110051995633453765458126311820194125.00%5180.00%0662138847.69%695143748.36%49198150.05%124055812986731398710
15Rams1010000012-11010000012-10000000000000.00012300519956326537654581263161618600.00%3166.67%0662138847.69%695143748.36%49198150.05%124055812986731398710
16Redhawks20200000410-61010000016-51010000034-100.00047110051995636453765458126572227391218.33%6266.67%0662138847.69%695143748.36%49198150.05%124055812986731398710
17Reign302001001015-51010000024-220100100811-310.167101424005199563905376545812611934615214535.71%18761.11%0662138847.69%695143748.36%49198150.05%124055812986731398710
18Roadrunners421000011314-111000000321311000011012-250.6251321340051995631375376545812610841507616637.50%15660.00%0662138847.69%695143748.36%49198150.05%124055812986731398710
19Rocket321000009721010000024-22200000073440.66791524005199563805376545812682291357115426.67%15286.67%1662138847.69%695143748.36%49198150.05%124055812986731398710
20Saints21100000660110000004221010000024-220.500610160051995633053765458126562144386350.00%7185.71%0662138847.69%695143748.36%49198150.05%124055812986731398710
21Senators21000001871110000005321000000134-130.750814220051995635953765458126842333367114.29%4175.00%0662138847.69%695143748.36%49198150.05%124055812986731398710
22Silver Knights2020000036-3000000000002020000036-300.00035800519956353537654581265221333410110.00%9277.78%0662138847.69%695143748.36%49198150.05%124055812986731398710
23Whalers1000010012-11000010012-10000000000010.5001120051995636537654581261161412000%2150.00%0662138847.69%695143748.36%49198150.05%124055812986731398710
24White Wolves532000002022-211000000514422000001521-660.60020335300519956316253765458126190632019323417.39%18761.11%0662138847.69%695143748.36%49198150.05%124055812986731398710
25Wolf Pack1010000024-21010000024-20000000000000.0002461051995632353765458126331135218225.00%50100.00%0662138847.69%695143748.36%49198150.05%124055812986731398710
26Wolves11000000431000000000001100000043121.0004711005199563235376545812619745255120.00%5260.00%0662138847.69%695143748.36%49198150.05%124055812986731398710
Total65243100424208246-3831131300311102113-1134111800113106133-27600.4622083295371151995631783537654581262067729182712382807025.00%2878371.08%3662138847.69%695143748.36%49198150.05%124055812986731398710
_Since Last GM Reset65243100424208246-3831131300311102113-1134111800113106133-27600.4622083295371151995631783537654581262067729182712382807025.00%2878371.08%3662138847.69%695143748.36%49198150.05%124055812986731398710
_Vs Conference52182600323164201-3723109002117787-10298170011287114-27460.442164256420015199563145253765458126168759915059742285925.88%2316870.56%3662138847.69%695143748.36%49198150.05%124055812986731398710
_Vs Division221413001037682-699400101322751359000024455-11320.7277611318900519956365253765458126742286595438882326.14%1013466.34%2662138847.69%695143748.36%49198150.05%124055812986731398710

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6560OTL1208329537178320677291827123811
All Games
GPWLOTWOTL SOWSOLGFGA
6524310424208246
Home Games
GPWLOTWOTL SOWSOLGFGA
3113130311102113
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3411180113106133
Last 10 Games
WLOTWOTL SOWSOL
630100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2807025.00%2878371.08%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
537654581265199563
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
662138847.69%695143748.36%49198150.05%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
124055812986731398710


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
213Bills5Gorillas7WBoxScore
427Gorillas4Roadrunners6LBoxScore
644Blood Miners3Gorillas4WBoxScore
752Gorillas5White Wolves4WBoxScore
1075Americans6Gorillas7WBoxScore
1290Gorillas2White Wolves9LBoxScore
14103Gorillas1Bills6LBoxScore
16115Griffins7Gorillas2LBoxScore
19138Bulldogs1Gorillas3WBoxScore
20148Gorillas0Crunch2LBoxScore
23172Griffins1Gorillas2WBoxScore
26189Gorillas4White Wolves5LBoxScore
28202Bills5Gorillas2LBoxScore
30215Gorillas5Reign6LXBoxScore
32228Gorillas4Rocket2WBoxScore
34241Saints2Gorillas4WBoxScore
36254Gorillas3Crunch4LXXBoxScore
38268Gorillas4Octopus5LBoxScore
40281Senators3Gorillas5WBoxScore
43302Gorillas1Silver Knights2LBoxScore
45311Admirals4Gorillas2LBoxScore
47328Gorillas3Senators4LXXBoxScore
49342Wolf Pack4Gorillas2LBoxScore
51359Gorillas4Eagles3WXXBoxScore
53375Rocket4Gorillas2LBoxScore
55393Gorillas1Roadrunners2LXXBoxScore
57406Gorillas6Norsemen4WBoxScore
58415Mountaineers8Gorillas3LBoxScore
61437Redhawks6Gorillas1LBoxScore
62446Gorillas2Grisards5LBoxScore
65460Gorillas4Eagles5LBoxScore
67474Reign4Gorillas2LBoxScore
69490Gorillas4Bills7LBoxScore
72507Eagles5Gorillas4LBoxScore
74524Gorillas4Phantoms3WBoxScore
76534Gorillas2Mountaineers0WBoxScore
77543Bills4Gorillas3LBoxScore
80560Gorillas3Rocket1WBoxScore
82574Whalers2Gorillas1LXBoxScore
84591Gorillas3Reign5LBoxScore
86605Bills2Gorillas4WBoxScore
88618Gorillas0Blood Miners4LBoxScore
90630Gorillas4Mountaineers5LBoxScore
91640Americans3Gorillas2LBoxScore
94665Gorillas4White Wolves3WBoxScore
95672Blood Miners5Gorillas4LXBoxScore
98696Gorillas2Saints4LBoxScore
100704Griffins2Gorillas4WBoxScore
102724Gorillas2Silver Knights4LBoxScore
104736Griffins5Gorillas2LBoxScore
106748Gorillas4Griffins5LBoxScore
109768Bulldogs4Gorillas3LXXBoxScore
112796Octopus4Gorillas5WXXBoxScore
115815Gorillas4Griffins1WBoxScore
117830White Wolves1Gorillas5WBoxScore
119846Gorillas4Wolves3WBoxScore
121862Blood Miners2Gorillas4WBoxScore
124880Gorillas3Bulldogs2WBoxScore
125893Roadrunners2Gorillas3WBoxScore
127907Gorillas2Blood Miners4LBoxScore
129926Bears2Gorillas5WBoxScore
132942Gorillas5Roadrunners4WBoxScore
134958Rams2Gorillas1LBoxScore
136971Gorillas3Redhawks4LBoxScore
138986Octopus5Gorillas4LXBoxScore
1401000Gorillas-Blossom Bytes-
1421013Gorillas-Bulldogs-
1431024Americans-Gorillas-
1451040Gorillas-Crunch-
1471055Crunch-Gorillas-
1491069Gorillas-Blossom Bytes-
1511086Bulldogs-Gorillas-
1541104Gorillas-Redhawks-
1561119Moose-Gorillas-
1601150Crunch-Gorillas-
1611154Gorillas-Gulls-
1641179Gorillas-Penguins-
1651184Roadrunners-Gorillas-
Trade Deadline --- Trades can’t be done after this day is simulated!
1691215Saints-Gorillas-
1751245Titans-Gorillas-
1801272Silver Knights-Gorillas-
1851304White Wolves-Gorillas-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity25005500
Ticket Price1912
Attendance77,500170,500
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
10 8000 - 100.00% 136,200$4,222,200$8000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,580,731$ 2,902,000$ 2,902,000$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
18,628$ 2,574,445$ 26 2

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,362,000$ 49 18,628$ 912,772$




Gorillas 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

Gorillas Goalies Stat Leaders (Regular Season)

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

Gorillas 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

Gorillas 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

Gorillas Goalies Stat Leaders (Play-Off)

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