Thunderbirds

GP: 20 | W: 12 | L: 7 | OTL: 1 | P: 25
GF: 43 | GA: 38 | PP%: 9.09% | PK%: 89.60%
GM : Ian Laporte | Morale : 50 | Team Overall : 62
Next Games #293 vs Penguins

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 SP
1Rudolfs Balcers0XX99.007137886769828166576465706766685350650
2Trey Fix-Wolansky0X100.006237756766898466626567616864664850650
3Jesper Froden0X100.006037846766868166696566636870693650650
4Filip Zadina0XX100.006336947072838069546468596764668650650
5Joona Koppanen0X99.008141886293798459806358685965675550650
6Garrett Wilson0X100.007872516187888660636160626072743750640
7Pavel Dorofeyev0X100.006440806676848164626168596663656450640
8Jack Drury0X100.005737786367848761866260656364657450630
9Adam Klapka0X100.009057665999817056605758635563654550620
10Angus Crookshank0X100.006038866369937262615965586466645750620
11Joseph Blandisi0X100.006240716271807961706360596269714050620
12Kyle Rau0X100.005537806364828462736162566371734950620
13Olle Lycksell0X100.006135936563837064696658626465664850620
14Beck Malenstyn0X100.008240876283768457565859635665665450620
15Linus Weissbach0X100.005638786265798561646260566165674750610
16Ty Ronning0X100.006336895963907858595660545966684750600
17Nicolas Meloche0X100.008242726286828360306255674866687250660
18Colton White0X100.006540906775827565306858635066686050650
19Jordan Spence0X97.546337856667908564306960625162646550650
20Kyle Capobianco0X100.006236766681867065306460575265676450630
21Joseph Cecconi0X100.007340785482698253305553564566685550600
Scratches
1Connor McMichael0X88.656037946770878566736261596563628150630
2CJ Suess0X100.006139805970727757615859645969714750600
3Luke Johnson0X100.005840726067807659675856635769714650600
4Kyle MacLean0X100.006842705777758556645758595564664350600
5Tyce Thompson0X100.006138806072817459555860596164666150600
6Brent Gates Jr.0X100.007138925780727556655754565566686150590
7C.J. Smith0X100.006236915971857557555256545769713650590
8Brandon Baddock0X100.008580545687718453545152575368704150590
9Mikhail Abramov0X100.005735935866758259655857566062646050590
10Greg Meireles0X100.005737885766748056595856545864664850580
11Cristiano Digiacinto0X100.006041705669747553595755545567694250570
12Keean Washkurak0X100.005839755667758055615359525762644950570
13Alec Regula0X95.877643706088848057305859645163656650650
14Andrew Nielsen0X100.007641745385626452305351574567695650590
15Simon Johansson0X100.006538875474667153305652544564665350580
16Albert Johansson0X100.005939775568656953305654574662646850570
TEAM AVERAGE99.41664180617480795955605960576667545062
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 SP
1Magnus Hellberg100.00757172967473757473757473865150750
2Ivan Prosvetov100.00747071887372747372747364715850720
Scratches
1Ryan Bednard100.00675556916665676667686665754750670
TEAM AVERAGE100.0072656692717072717172716777525071
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rocky Thompson71636360686380CAN459100,000$


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
1Rudolfs BalcersThunderbirds (STL)LW/RW20571246026356915357.25%346423.22055199620241031039.58%4800000.5200000210
2Connor McMichaelThunderbirds (STL)C20481234011353572111.43%133616.821341288000001055.12%36100000.7100000102
3Trey Fix-WolanskyThunderbirds (STL)RW2084123140233048113716.67%341520.7910111890001551052.11%7100000.5800000102
4Jack DruryThunderbirds (STL)C2039123801442389297.89%033816.911231496000001154.14%44700000.7100000110
5Pavel DorofeyevThunderbirds (STL)LW202810016023164013375.00%133016.521341372000001038.89%1800000.6100000001
6Alec RegulaThunderbirds (STL)D1945964620249283714.29%1544023.182131983000096010.00%000100.4100121011
7Colton WhiteThunderbirds (STL)D20099112016271819100.00%3645022.5503315870000101000.00%000000.4000000020
8Jesper FrodenThunderbirds (STL)RW204594407214811358.33%234517.260004160000802053.33%1500000.5200000210
9Jordan SpenceThunderbirds (STL)D2018942201818181085.56%2042521.281121483011089000.00%000000.4200000001
10Nicolas MelocheThunderbirds (STL)D20358241543142091615.00%2347823.911121394011086200.00%000000.3300100010
11Joona KoppanenThunderbirds (STL)LW205271355344344132411.36%946023.04213149400011042056.76%25900000.3000010110
12Garrett WilsonThunderbirds (STL)LW204262311536101992721.05%124312.1600000000001170.00%1000000.4900101220
13Kyle CapobiancoThunderbirds (STL)D200331180111310470.00%731315.66000117000037000.00%000000.1900000001
14Joseph BlandisiThunderbirds (STL)C20022520525152230.00%320410.24000000000100048.86%17600000.2000000000
15Beck MalenstynThunderbirds (STL)LW200220260241191110.00%926213.1400000000000044.23%5200000.1500000000
16Adam KlapkaThunderbirds (STL)RW20011260541030.00%2472.38000010111250046.88%3200000.4200000000
17Angus CrookshankThunderbirds (STL)LW20011100212120.00%1341.73000110001250050.00%1200000.5800000000
18Josh MahuraSt-Louis BluesD5011-1100212120.00%47715.500000000002000.00%000000.2600000000
19Joseph CecconiThunderbirds (STL)D2000120400000.00%1178.660000100000000.00%000000.0000000000
20Kyle RauThunderbirds (STL)LW20000000300220.00%0331.6600000000000066.67%600000.0000000000
21Olle LycksellThunderbirds (STL)RW20000-100036120.00%0331.690000000000000.00%000000.0000000000
22Luke JohnsonThunderbirds (STL)C18000-140011000.00%0100.5800000000000040.00%500000.0000000000
Team Total or Average404438212540307453313594711413389.13%141576414.27102030150926235882012353.04%151200100.430033210108
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
1Magnus HellbergThunderbirds (STL)149410.9191.8584201263210000.0000145202
2Ivan ProsvetovThunderbirds (STL)63300.9172.0036000121440000.0000614011
Team Total or Average2012710.9181.90120201384650000.00002019213


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam KlapkaRW232000-09-14No235 Lbs6 ft8NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Albert JohanssonD222001-01-04No168 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Alec RegulaD232000-08-06No208 Lbs6 ft4NoNoNo2RFAPro & Farm500,000$0$0$NoLink
Andrew NielsenD271996-11-13No210 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Angus CrookshankLW241999-10-02No181 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Beck MalenstynLW251998-02-04No200 Lbs6 ft3NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Brandon BaddockLW281995-03-29No218 Lbs6 ft3NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Brent Gates Jr.C261997-08-12No198 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
C.J. SmithLW281994-12-01No184 Lbs5 ft11NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
CJ SuessLW291994-03-17No190 Lbs5 ft11NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Colton WhiteD261997-05-03No187 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Connor McMichael (Out of Payroll)C222001-01-15No180 Lbs6 ft0NoNoNo2ELCPro & Farm900,000$0$0$YesLink / NHL Link
Cristiano DigiacintoLW271996-01-10No183 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$0$0$NoLink
Filip ZadinaLW/RW241999-11-27No190 Lbs6 ft0NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Garrett WilsonLW321991-03-16No218 Lbs6 ft3NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Greg MeirelesRW241999-01-01No180 Lbs5 ft10NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Ivan ProsvetovG241999-03-05No195 Lbs6 ft5NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jack DruryC232000-02-03No174 Lbs5 ft11NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Jesper FrodenRW291994-09-21No179 Lbs5 ft10NoNoNo1UFAPro & Farm300,000$0$0$NoLink
Joona KoppanenLW251998-02-25No216 Lbs6 ft5NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jordan SpenceD222001-02-24No180 Lbs5 ft10NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Joseph BlandisiC291994-07-18No184 Lbs6 ft0NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Joseph CecconiD261997-05-23No210 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Keean WashkurakC222001-08-16No184 Lbs5 ft10NoNoNo3ELCPro & Farm300,000$0$0$NoLink
Kyle CapobiancoD261997-08-13No201 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Kyle MacLeanC241999-04-29No183 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Kyle RauLW311992-10-24No171 Lbs5 ft9NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Linus WeissbachRW251998-04-19No177 Lbs5 ft9NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Luke JohnsonC291994-09-19No174 Lbs5 ft11NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Magnus HellbergG321991-04-04No220 Lbs6 ft6NoNoNo2UFAPro & Farm750,000$0$0$NoLink
Mikhail AbramovC222001-03-26No160 Lbs6 ft0NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Nicolas MelocheD261997-07-18No211 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Olle LycksellRW241999-08-24No163 Lbs5 ft10NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Pavel DorofeyevLW232000-10-26No194 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink
Rudolfs BalcersLW/RW261997-04-08No182 Lbs5 ft11NoNoNo3RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Ryan BednardG261997-03-31No207 Lbs6 ft5NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Simon JohanssonD241999-06-14No170 Lbs6 ft2NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Trey Fix-WolanskyRW241999-05-26No191 Lbs5 ft7NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Ty RonningRW261997-10-20No167 Lbs5 ft9NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Tyce ThompsonRW241999-07-12No175 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4025.55190 Lbs6 ft12.05443,750$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joona KoppanenJack DruryRudolfs Balcers40122
2Pavel DorofeyevTrey Fix-Wolansky30122
3Garrett WilsonJoseph BlandisiJesper Froden20122
4Beck MalenstynJoona KoppanenOlle Lycksell10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas MelocheJordan Spence40122
2Colton WhiteJoseph Cecconi30122
3Kyle CapobiancoBeck Malenstyn20122
4Nicolas MelocheColton White10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joona KoppanenJack DruryRudolfs Balcers60122
2Pavel DorofeyevTrey Fix-Wolansky40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas MelocheJordan Spence60122
2Colton WhiteKyle Capobianco40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Joona KoppanenRudolfs Balcers60122
2Trey Fix-WolanskyJesper Froden40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas MelocheKyle Capobianco60122
2Colton WhiteJordan Spence40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Joona Koppanen60122Nicolas MelocheKyle Capobianco60122
2Rudolfs Balcers40122Colton WhiteJordan Spence40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Joona KoppanenRudolfs Balcers60122
2Trey Fix-WolanskyJesper Froden40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas MelocheJordan Spence60122
2Colton WhiteJoseph Cecconi40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Joona KoppanenJack DruryRudolfs BalcersNicolas MelocheJordan Spence
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Joona KoppanenJack DruryRudolfs BalcersNicolas MelocheJordan Spence
Extra Forwards
Normal PowerPlayPenalty Kill
Kyle Rau, Angus Crookshank, Adam KlapkaKyle Rau, Angus CrookshankAdam Klapka
Extra Defensemen
Normal PowerPlayPenalty Kill
Kyle Capobianco, Colton White, Nicolas MelocheKyle CapobiancoColton White, Nicolas Meloche
Penalty Shots
Joona Koppanen, Rudolfs Balcers, Trey Fix-Wolansky, Jesper Froden, Pavel Dorofeyev
Goalie
#1 : Magnus Hellberg, #2 : Ivan Prosvetov
Custom OT Lines Forwards
Joona Koppanen, Rudolfs Balcers, Trey Fix-Wolansky, Jesper Froden, Pavel Dorofeyev, Garrett Wilson, Garrett Wilson, Jack Drury, , Beck Malenstyn, Olle Lycksell
Custom OT Lines Defensemen
Nicolas Meloche, Joseph Cecconi, Colton White, Jordan Spence, Kyle Capobianco


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2025W1438212547146514130733101
All Games
GPWLOTWOTL SOWSOLGFGA
2011711004338
Home Games
GPWLOTWOTL SOWSOLGFGA
128310002719
Visitor Games
GPWLOTWOTL SOWSOLGFGA
83401001619
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
110109.09%1251389.60%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
14417115421613131
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
33863653.14%30760151.08%15726958.36%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
490340473147240119


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
5 - 2023-08-1422Wolfpack1Thunderbirds2WBoxScore
6 - 2023-08-1527Bruins3Thunderbirds0LBoxScore
11 - 2023-08-2038Phantoms1Thunderbirds2WXBoxScore
12 - 2023-08-2146Thunderbirds3Penguins2WBoxScore
13 - 2023-08-2260Thunderbirds0Phantoms1LBoxScore
18 - 2023-08-2775Thunderbirds3Wolfpack4LXBoxScore
19 - 2023-08-2893Bruins1Thunderbirds3WBoxScore
20 - 2023-08-29101Thunderbirds2Bruins4LBoxScore
25 - 2023-09-03118Senators1Thunderbirds3WBoxScore
26 - 2023-09-04133Phantoms1Thunderbirds3WBoxScore
27 - 2023-09-05139Thunderbirds3Islanders1WBoxScore
30 - 2023-09-08143Phantoms2Thunderbirds3WBoxScore
32 - 2023-09-10155Thunderbirds2Bruins4LBoxScore
33 - 2023-09-11164Thunderbirds0Islanders1LBoxScore
37 - 2023-09-15184Thunderbirds3Wolfpack2WBoxScore
39 - 2023-09-17197Comets3Thunderbirds2LBoxScore
44 - 2023-09-22233Islanders0Thunderbirds2WBoxScore
46 - 2023-09-24243Wolfpack1Thunderbirds2WBoxScore
47 - 2023-09-25259Comets2Thunderbirds0LBoxScore
53 - 2023-10-01282Penguins3Thunderbirds5WBoxScore
54 - 2023-10-02293Thunderbirds-Penguins-
61 - 2023-10-09337Islanders-Thunderbirds-
65 - 2023-10-13354Americans-Thunderbirds-
68 - 2023-10-16373Thunderbirds-Phantoms-
69 - 2023-10-17385Thunderbirds-Bears-
74 - 2023-10-22407Bears-Thunderbirds-
75 - 2023-10-23420Islanders-Thunderbirds-
79 - 2023-10-27430Wolfpack-Thunderbirds-
81 - 2023-10-29443Islanders-Thunderbirds-
82 - 2023-10-30458Bruins-Thunderbirds-
88 - 2023-11-05478Penguins-Thunderbirds-
89 - 2023-11-06495Bruins-Thunderbirds-
90 - 2023-11-07506Thunderbirds-Bruins-
93 - 2023-11-10511Thunderbirds-Islanders-
95 - 2023-11-12518Thunderbirds-Crunch-
96 - 2023-11-13532Thunderbirds-Comets-
98 - 2023-11-15550Penguins-Thunderbirds-
103 - 2023-11-20576Thunderbirds-Americans-
104 - 2023-11-21591Thunderbirds-Penguins-
107 - 2023-11-24598Thunderbirds-Bears-
109 - 2023-11-26613Checkers-Thunderbirds-
110 - 2023-11-27630Checkers-Thunderbirds-
114 - 2023-12-01645Thunderbirds-Islanders-
116 - 2023-12-03654Thunderbirds-Islanders-
117 - 2023-12-04672Thunderbirds-Wolfpack-
124 - 2023-12-11705Bears-Thunderbirds-
131 - 2023-12-18734Thunderbirds-Checkers-
132 - 2023-12-19750Thunderbirds-Checkers-
137 - 2023-12-24774Wolfpack-Thunderbirds-
138 - 2023-12-25793Bruins-Thunderbirds-
139 - 2023-12-26798Thunderbirds-Islanders-
144 - 2023-12-31822Thunderbirds-Bruins-
145 - 2024-01-01837Rocket-Thunderbirds-
146 - 2024-01-02845Islanders-Thunderbirds-
151 - 2024-01-07863Islanders-Thunderbirds-
152 - 2024-01-08878Marlies-Thunderbirds-
153 - 2024-01-09885Thunderbirds-Bruins-
Trade Deadline --- Trades can’t be done after this day is simulated!
159 - 2024-01-15916Thunderbirds-Checkers-
160 - 2024-01-16929Thunderbirds-Checkers-
163 - 2024-01-19942Thunderbirds-Phantoms-
165 - 2024-01-21954Checkers-Thunderbirds-
166 - 2024-01-22970Crunch-Thunderbirds-
172 - 2024-01-28996Thunderbirds-Wolfpack-
173 - 2024-01-291009Thunderbirds-Comets-
177 - 2024-02-021027Thunderbirds-Marlies-
179 - 2024-02-041037Thunderbirds-Senators-
180 - 2024-02-051044Thunderbirds-Rocket-
186 - 2024-02-111076Thunderbirds-Wolfpack-
187 - 2024-02-121097Checkers-Thunderbirds-
188 - 2024-02-131104Bruins-Thunderbirds-
193 - 2024-02-181122Thunderbirds-Bruins-
194 - 2024-02-191137Wolfpack-Thunderbirds-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance22,48511,020
Attendance PCT93.69%91.83%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
24 2792 - 93.07% 69,834$838,002$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
74,638$ 168,500$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 47,362$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,676,004$ 142 1,377$ 195,534$




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
128247240312528920287412414030001461024441231000125143100431102894887770701119281256508588118832125610119018635038416.70%4977684.71%21223250148.90%1081262541.18%534118844.95%212715451898570936477
128247240312528920287412414030001461024441231000125143100431102894887770701119281256508588118832125610119018635038416.70%4977684.71%21223250148.90%1081262541.18%534118844.95%212715451898570936477
1376145404301187334-1473892302301107157-50385310200080177-97401873195061107171412135068570972926567697501372401399.73%3238773.07%1884219840.22%856229837.25%457115339.64%14089702331569840357
13763524064432361954138181402121113106738171004322123893497236417653290818164200606446976381906545113415354176816.31%4707584.04%51270223256.90%1153223751.54%589107854.64%197014061757530888455
1376145404301187334-1473892302301107157-50385310200080177-97401873195061107171412135068570972926567697501372401399.73%3238773.07%1884219840.22%856229837.25%457115339.64%14089702331569840357
13763524064432361954138181402121113106738171004322123893497236417653290818164200606446976381906545113415354176816.31%4707584.04%51270223256.90%1153223751.54%589107854.64%197014061757530888455
147632260842419316429381813032029277153814130522210187149219333252519064685120270687681633189962269011633444813.95%2663786.09%21114231848.06%1089230247.31%528104750.43%182513091898541897440
14764122042522521461063819110222212672543822110203012674521042524527040100104716822950751776740164645685513733225015.53%3584886.59%41539237164.91%1303212261.40%708104967.49%214715751566498892477
147632260842419316429381813032029277153814130522210187149219333252519064685120270687681633189962269011633444813.95%2663786.09%21114231848.06%1089230247.31%528104750.43%182513091898541897440
14764122042522521461063819110222212672543822110203012674521042524527040100104716822950751776740164645685513733225015.53%3584886.59%41539237164.91%1303212261.40%708104967.49%214715751566498892477
1582254006443204246-424115150522211710984110250122187137-507720434554906071645922010716725731269179791014873866917.88%3835286.42%31164241048.30%1226279543.86%551115347.79%182512922230579927433
1582392508352236161754128902101134666841111606251102957109236415651180857959224307266997791862524100915524277216.86%4195187.83%41551252161.52%1422243158.49%668109561.00%221815861766576988512
1582254006443204246-424115150522211710984110250122187137-507720434554906071645922010716725731269179791014873866917.88%3835286.42%31164241048.30%1226279543.86%551115347.79%182512922230579927433
1582392508352236161754128902101134666841111606251102957109236415651180857959224307266997791862524100915524277216.86%4195187.83%41551252161.52%1422243158.49%668109561.00%221815861766576988512
16824623022452301379341191601104876918412770114114368751112304076370180957455208306936736911646513142517044127417.96%6106589.34%61646257064.05%1465242560.41%658106761.67%232816801670563975519
1682472302343250147103412690123013962774121140111311185261122504667160170988165215206767347251666501115014544557215.82%4586086.90%41589251963.08%1359226560.00%688112161.37%231116851691551963514
16824623022452301379341191601104876918412770114114368751112304076370180957455208306936736911646513142517044127417.96%6106589.34%61646257064.05%1465242560.41%658106761.67%232816801670563975519
1682472302343250147103412690123013962774121140111311185261122504667160170988165215206767347251666501115014544557215.82%4586086.90%41589251963.08%1359226560.00%688112161.37%231116851691551963514
1772105701112144362-218366290000175180-105364280111169182-113271442744181007832321926068061861034619756641245248176.85%2736177.66%2612180633.89%752256029.38%340108731.28%11287752462513747296
1772461502243284155129362010020311317952362650021215376771092845087920501199564224907517507271643516110413463767018.62%4476385.91%51458231363.04%1251207260.38%646104661.76%201314671507483843449
1772105701112144362-218366290000175180-105364280111169182-113271442744181007832321926068061861034619756641245248176.85%2736177.66%2612180633.89%752256029.38%340108731.28%11287752462513747296
1772461502243284155129362010020311317952362650021215376771092845087920501199564224907517507271643516110413463767018.62%4476385.91%51458231363.04%1251207260.38%646104661.76%201314671507483843449
1820117011004338512830100027198834001001619-32543821250116131314711441711542465141307331110109.09%1251389.60%233863653.14%30760151.08%15726958.36%490340473147240119
Total Regular Season173677567309359706650534536517870412329047282430256121773848663633440463146362492235913320015053892813981121811619671629127948235144159051590015774468671379722069325198692133615.37%9133136385.08%78284385215454.53%262215286549.60%128912443752.75%43098309344203612102200429987
Playoff
11624000001518-33120000078-131200000810-2415254000064419505553502196012919046613.04%60788.33%08625533.73%10725342.29%409343.01%162112191477536
11624000001518-33120000078-131200000810-2415254000064419505553502196012919046613.04%60788.33%08625533.73%10725342.29%409343.01%162112191477536
12624000001213-1321000008443030000049-541218301106511520505349160427413438821.05%34391.18%06917738.98%7620337.44%327741.56%13290158466933
12624000001213-1321000008443030000049-541218301106511520505349160427413438821.05%34391.18%06917738.98%7620337.44%327741.56%13290158466933
13115600000313105410000017116615000001420-610315788000139830701017578343931882778944.49%841384.52%018840047.00%20343846.35%8619843.43%34023331810316686
13115600000313105410000017116615000001420-610315788000139830701017578343931882778944.49%841384.52%018840047.00%20343846.35%8619843.43%34023331810316686
141376000002723464200000151147340000012120142749760101068307011689902689016923357610.53%59984.75%119140946.70%19136652.19%10218754.55%32322231510116785
141376000002723464200000151147340000012120142749760101068307011689902689016923357610.53%59984.75%119140946.70%19136652.19%10218754.55%32322231510116785
Total Playoff723240000001701700342212000009468263810280000076102-2664170298468240704842192206445405341980570112016684604810.43%4746486.50%21068248243.03%1154252045.79%520111046.85%191713171968596957483