Thunderbirds

GP: 14 | W: 8 | L: 4 | OTL: 2 | P: 18
GF: 108 | GA: 86 | PP%: 45.00% | PK%: 67.65%
GM : Félix Morin | Morale : 40 | Team Overall : 61

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# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Ryan DonatoXX100.007557818370598964466472686166667140670
2Martin FrkX100.007677727477788168506368686550506940660
3Alex BelzileXX100.007364876671627060697171755358587140650
4Joel KivirantaXX100.008244838063638061345160812560616640640
5Matthew HighmoreXX100.007367867067727466506560685758586640640
6Adam GaudetteXX100.006865747765747766805866666363636740640
7Jake Neighbours (R)X100.008075837273637065365966652549496740620
8Logan BrownXX100.006944917385576362606158587556566240610
9Nathan Todd (R)X100.007774856374575566805970666744446740610
10Mathias Laferriere (R)X100.007165866965676960755957625444446240590
11Pavel Mintyukov (R)X100.005248887271809571257356745950509040670
12Ryan MurrayX100.007143908075615056255747732569696140650
13Anton StralmanX100.007767997867626651253939723784905540650
14Tyler Tucker (R)X100.008499686378658662255048682546465940630
15Filip Roos (R)X100.007143916374696969255048712545456040620
16Zachary JonesX100.006141917064688360254548707547475940610
17Brady Lyle (R)X100.007574766274697357255248634644445840600
Scratches
1Artyom Anisimov (R)XS38275986375606066805665776279826740650
2Wayne SimmondsXXS48999347274486356266055606185885940610
3Nikita Alexandrov (R)X100.007543906370558459596260602546466340590
4Curtis Douglas (R)X100.007894426394748150634551634844445640580
5Mikhail Abramov (R)X100.007261976361727657715356615344446140580
6Keean Washkurak (R)X100.006762786362677153664359585644445840550
7Scott Perunovich (R)X100.006761827861535257255842594044455640570
8Hunter Skinner (R)X100.007269786269555751254939603744445240560
9Corson Ceulemans (R)X100.007673826373474846253542614044445140540
TEAM AVERAGE100.00746581697164716046555666485455634062
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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
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Juha Jatkola (R)100.00648072715360807964636654549040650
2Joseph Woll (R)100.00634860776863616865643045456240610
Scratches
1Vadim Zherenko (R)100.00585063666461506058563044445740560
TEAM AVERAGE100.0062596571626164696261424848704061
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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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 DonatoThunderbirds (STL)C/LW142821499120221872264938.89%833323.85881615523144601047.87%3994915062.9300000313
2Martin FrkThunderbirds (STL)RW1413223564725181062263920.97%1531822.77581316480111533050.00%28236002.2000113021
3Alex BelzileThunderbirds (STL)C/RW14161632-7100382065233524.62%627919.98971617500002150150.00%143612022.2900000121
4Joel KivirantaThunderbirds (STL)LW/RW14131730-660383066183419.70%1125918.5379161751000012030.00%105210022.3100000300
5Pavel MintyukovThunderbirds (STL)D144222632092923121617.39%3639628.3321012762022256000.00%0426001.3100000010
6Adam GaudetteThunderbirds (STL)C/RW14101121880311664274315.63%422315.96000000223250053.42%146383001.8800000110
7Matthew HighmoreThunderbirds (STL)LW/RW146142066013102741122.22%524817.753587511011141045.00%201110011.6100000010
8Jake NeighboursThunderbirds (STL)LW141091961210181553232418.87%719513.9300000000001112.50%8363001.9500110110
9Ryan MurrayThunderbirds (STL)D14281022023211971110.53%2435025.04134462000058000.00%0325000.5700000001
10Anton StralmanThunderbirds (STL)D14099-2001334151260.00%2329020.76033341000138000.00%0017000.6200000001
11Tyler TuckerThunderbirds (STL)D14145-315175182021664.76%1223917.09000033000525000.00%028000.4200465000
12Filip RoosThunderbirds (STL)D1405592091017790.00%1418413.140002800000000.00%029000.5400000000
13Artyom AnisimovThunderbirds (STL)C3235227553911122.22%25919.8402209000030048.08%5250001.6800100001
14Nathan ToddThunderbirds (STL)C14314-1009072842.86%1473.4011215000040025.00%462001.6800000000
15Zachary JonesThunderbirds (STL)D1403390051812960.00%1617412.4900000000113000.00%018000.3400000000
16Logan BrownThunderbirds (STL)C/LW14022100550000.00%0322.3100000000000033.33%2110001.2400000000
17Brady LyleThunderbirds (STL)D14011120222100.00%2533.800000000000000.00%012000.3800000000
18Wayne SimmondsThunderbirds (STL)LW/RW100003715110000.00%055.250000000000000.00%100000.0000111000
19Mathias LaferriereThunderbirds (STL)C14000-100011000.00%150.410000100000000.00%000000.0000000000
Team Total or Average2421081682764232413027726353520430820.19%187369815.28365692894794610203728247.80%7032701560111.4900899998
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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
1Juha JatkolaThunderbirds (STL)147210.8525.727240069465294000.0000140002
2Joseph WollThunderbirds (STL)51210.6738.6411800175223100.0000014000
Team Total or Average198420.8346.138420086517317100.00001414002


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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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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
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Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam GaudetteC/RW271996-10-02No170 Lbs6 ft1NoNoNo1RFAFarm Only750,000$0$0$NoLink
Alex BelzileC/RW321991-08-31No194 Lbs6 ft0NoNoNo1UFAFarm Only0$0$NoLink
Anton StralmanD371986-07-31No186 Lbs5 ft11NoNoNo1UFAFarm Only0$0$NoLink
Artyom AnisimovC351988-05-24Yes198 Lbs6 ft4NoNoNo1UFAFarm Only500,000$0$0$NoLink
Brady LyleD241999-06-06Yes203 Lbs6 ft1NoNoNo1RFAFarm Only800,000$0$0$NoLink
Corson CeulemansD202003-05-05Yes198 Lbs6 ft2NoNoNo1ELCFarm Only500,000$0$0$NoLink
Curtis DouglasC232000-03-06Yes248 Lbs6 ft9NoNoNo2RFAFarm Only837,500$0$0$NoLink
Filip RoosD241999-05-01Yes190 Lbs6 ft4NoNoNo2RFAFarm Only925,000$0$0$NoLink
Hunter SkinnerD222001-04-29Yes182 Lbs6 ft2NoNoNo2ELCFarm Only925,000$0$0$NoLink
Jake NeighboursLW212002-03-29Yes195 Lbs6 ft0NoNoNo3ELCFarm Only863,333$0$0$NoLink
Joel KivirantaLW/RW271996-03-23No175 Lbs5 ft10NoNoNo1RFAFarm Only0$0$NoLink
Joseph WollG251998-07-12Yes198 Lbs6 ft2NoNoNo3RFAFarm Only766,667$0$0$NoLink
Juha JatkolaG222001-01-12 1:45:00 PMYes180 Lbs6 ft5NoNoNo1ELCFarm Only0$0$No
Keean WashkurakC222001-08-16Yes170 Lbs5 ft10NoNoNo2ELCFarm Only875,000$0$0$NoLink
Logan BrownC/LW251998-03-04No220 Lbs6 ft6NoNoNo1RFAFarm Only750,000$0$0$NoLink
Martin FrkRW291993-10-04No210 Lbs6 ft1NoNoNo1UFAFarm Only750,000$0$0$NoLink
Mathias LaferriereC232000-06-27Yes174 Lbs6 ft1NoNoNo1RFAFarm Only0$0$NoLink
Matthew HighmoreLW/RW271996-02-27No188 Lbs5 ft11NoNoNo1RFAFarm Only750,000$0$0$NoLink
Mikhail AbramovC222001-03-26Yes160 Lbs6 ft0NoNoNo2ELCFarm Only809,444$0$0$NoLink
Nathan ToddC271995-12-02Yes201 Lbs6 ft1NoNoNo1RFAFarm Only750,000$0$0$NoLink
Nikita AlexandrovC232000-09-16Yes190 Lbs6 ft0NoNoNo2RFAFarm Only880,000$0$0$NoLink
Pavel MintyukovD192003-11-25 11:22:45 AMYes180 Lbs6 ft5NoNoNo1ELCFarm Only0$0$No
Ryan DonatoC/LW271996-04-09No192 Lbs6 ft0NoNoNo1RFAFarm Only0$0$NoLink
Ryan MurrayD301993-09-27No206 Lbs6 ft1NoNoNo1UFAFarm Only0$0$NoLink
Scott PerunovichD251998-08-18Yes172 Lbs5 ft9NoNoNo1RFAFarm Only750,000$0$0$NoLink
Tyler TuckerD232000-03-01Yes205 Lbs6 ft1NoNoNo1RFAFarm Only808,333$0$0$NoLink
Vadim ZherenkoG222001-03-15Yes172 Lbs6 ft2NoNoNo3ELCFarm Only846,667$0$0$NoLink
Wayne SimmondsLW/RW351988-08-26No185 Lbs6 ft2NoNoNo1UFAFarm Only0$0$NoLink
Zachary JonesD222000-10-18No175 Lbs5 ft11NoNoNo1ELCFarm Only0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2925.52190 Lbs6 ft11.41511,619$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matthew HighmoreRyan DonatoMartin Frk40122
2Joel KivirantaAlex Belzile30122
3Jake NeighboursAdam Gaudette20122
4Ryan DonatoLogan BrownMartin Frk10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Pavel MintyukovRyan Murray40122
2Anton StralmanTyler Tucker30122
3Filip RoosZachary Jones20122
4Brady LylePavel Mintyukov10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matthew HighmoreRyan DonatoMartin Frk60122
2Joel KivirantaAlex Belzile40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Pavel MintyukovRyan Murray60122
2Anton StralmanTyler Tucker40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ryan DonatoMartin Frk60122
2Alex Belzile40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Pavel MintyukovRyan Murray60122
2Anton StralmanTyler Tucker40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ryan Donato60122Pavel MintyukovRyan Murray60122
2Martin Frk40122Anton StralmanTyler Tucker40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ryan DonatoMartin Frk60122
2Alex Belzile40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Pavel MintyukovRyan Murray60122
2Anton StralmanTyler Tucker40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Matthew HighmoreRyan DonatoMartin FrkPavel MintyukovRyan Murray
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matthew HighmoreRyan DonatoMartin FrkPavel MintyukovRyan Murray
Extra Forwards
Normal PowerPlayPenalty Kill
Nathan Todd, Mathias Laferriere, Adam GaudetteNathan Todd, Mathias LaferriereAdam Gaudette
Extra Defensemen
Normal PowerPlayPenalty Kill
Filip Roos, Zachary Jones, Brady LyleFilip RoosZachary Jones, Brady Lyle
Penalty Shots
Ryan Donato, Martin Frk, , Alex Belzile, Adam Gaudette
Goalie
#1 : Juha Jatkola, #2 : Joseph Woll
Custom OT Lines Forwards
Ryan Donato, Martin Frk, , Alex Belzile, Adam Gaudette, Matthew Highmore, Matthew Highmore, Joel Kiviranta, Jake Neighbours, Logan Brown,
Custom OT Lines Defensemen
Pavel Mintyukov, Ryan Murray, Anton Stralman, Tyler Tucker, Filip Roos


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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1418W410816927753651718734627900
All Games
GPWLOTWOTL SOWSOLGFGA
1474120010886
Home Games
GPWLOTWOTL SOWSOLGFGA
74201004838
Visitor Games
GPWLOTWOTL SOWSOLGFGA
73211006048
Last 10 Games
WLOTWOTL SOWSOL
621100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
803645.00%682267.65%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
22516214725037201
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
11929041.03%11025842.64%13031141.80%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
311197316115216107


Last Played Games
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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
Trade Deadline --- Trades can’t be done after this day is simulated!
2 - 2023-09-2913Moose2Thunderbirds1LXBoxScore
3 - 2023-09-3026Thunderbirds10Moose2WBoxScore
5 - 2023-10-0247Admirals11Thunderbirds7LBoxScore
7 - 2023-10-0461Thunderbirds8Admirals9LBoxScore
8 - 2023-10-0574Wild1Thunderbirds10WBoxScore
10 - 2023-10-0793Thunderbirds12Wild8WBoxScore
11 - 2023-10-08106Thunderbirds8Eagles9LXBoxScore
14 - 2023-10-11123IceHogs12Thunderbirds2LBoxScore
16 - 2023-10-13145Thunderbirds7Firebirds8LBoxScore
17 - 2023-10-14149Thunderbirds8Stars7WXBoxScore
18 - 2023-10-15159Firebirds4Thunderbirds10WBoxScore
20 - 2023-10-17178Eagles4Thunderbirds7WBoxScore
24 - 2023-10-21209Stars4Thunderbirds11WBoxScore
25 - 2023-10-22212Thunderbirds7IceHogs5WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,483,694$ 1,483,694$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

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




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
614740120010886227420010048381073201100604812181081692770050372015362251621472517187346279803645.00%682267.65%411929041.03%11025842.64%13031141.80%311197316115216107
Total Regular Season14740120010886227420010048381073201100604812181081692770050372015362251621472517187346279803645.00%682267.65%411929041.03%11025842.64%13031141.80%311197316115216107