Thunderbirds

GP: 32 | W: 17 | L: 12 | OTL: 3 | P: 37
GF: 101 | GA: 70 | PP%: 18.08% | PK%: 84.32%
GM : Ian Laporte | Morale : 50 | Team Overall : 64
Next Games #537 vs Wolfpack

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
1Emil Bemstrom0XXX99.006539866972848568726667616867695750660
2Trey Fix-Wolansky0X100.006338736868908565636766626567684750650
3Aidan McDonough0X100.007241906481867363626066616567684750640
4Olle Lycksell0X100.006235916663868265686764636566684750640
5John Farinacci0X100.007336946572778463716461626564666750640
6Kyle MacLean0X99.007240896476779063736260656166684250640
7Michael Pezzetta0XX100.009278726581707662526361646567684250640
8Angus Crookshank0X100.006638766469878562656163606466685650630
9Joseph Blandisi0X100.006243636471828462706361606271733850630
10Joona Koppanen0X100.008238896192788459636058625767694850630
11Cam Lund0X100.006136896579786164706162636560617750620
12C.J. Smith0X100.006037916169876559686457615871733450610
13Jagger Firkus0X100.006236916164817258636059566261657650600
14Tyce Thompson0X100.006343675872808557585654555766686050590
15Jon-Randall Avon0X100.006036925769788354615556535562644350580
16Logan Mailloux0X100.007442696786858765306866635462647850670
17Albert Johansson0X100.006638816568838464306356655164666850650
18Kyle Capobianco0X100.007241736483778562306457614968705650650
19Domenick Fensore0X100.006437836064878059305856634964666250620
20Joseph Cecconi0X100.007342745882668557305652554568704850610
21Colton White0X100.006640795975698157305853544668705250600
22Noah Warren0X100.008242805491617053305250584561637450600
Scratches
1Keean Washkurak0X100.005840725667728553605455525665664850570
TEAM AVERAGE99.91684181627579806154615960586667555062
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
1Erik Portillo100.00778379967675777675777665736450760
2Cal Petersen100.00758378777473757473757472855250740
Scratches
1Filip Larsson100.00747672797372747372747367774250720
TEAM AVERAGE100.0075817684747375747375746878535074
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Luke Richardson78747680847864CAN5682,500,000$


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
1Emil BemstromThunderbirds (STL)C/LW/RW3212162813160325985245714.12%567521.113581813100061303055.80%69000000.8301000430
2Aidan McDonoughThunderbirds (STL)LW32618241317544279026736.67%357718.052911251490000301042.86%4900000.8300010001
3Kyle MacLeanThunderbirds (STL)C32518231240106745213911.11%855817.46369136901121840060.08%71900000.8200000001
4Albert JohanssonThunderbirds (STL)D325162111380482337101613.51%3069921.8632524800003130010.00%000000.6000000200
5Trey Fix-WolanskyThunderbirds (STL)RW31912216140293181246011.11%351616.675712271380000332154.76%16800000.8101000012
6Kyle CapobiancoThunderbirds (STL)D326152116260332344131413.64%3077324.17459311370110145100.00%000000.5400000111
7John FarinacciThunderbirds (STL)C32713205280305655194312.73%356717.7524614132000002056.62%43800000.7000000221
8Olle LycksellThunderbirds (STL)RW329817440123566195113.64%043113.4810114000002072.73%2200000.7900000131
9Logan MaillouxThunderbirds (STL)D32313161243557266615324.55%3075323.54167441320001146010.00%000000.4200010102
10Angus CrookshankThunderbirds (STL)LW3269151160232444192913.64%139612.38437171401012551072.97%7400000.7611000111
11Colton DachSt-Louis BluesLW3010414580261545112222.22%22929.7633612851011521050.00%3400000.9600000310
12Joseph BlandisiThunderbirds (STL)C3295141220040344394120.93%138912.1700001000043054.49%17800000.7200000112
13Michael PezzettaThunderbirds (STL)LW/RW32591411621051235110309.80%736411.40000000114800041.18%1700000.7700110111
14Domenick FensoreThunderbirds (STL)D3201010133352229176150.00%2258618.34033280001101000.00%000000.3400001000
15Joona KoppanenThunderbirds (STL)LW325385375392737113413.51%235611.1500000000000060.00%1500000.4500001002
16Joseph CecconiThunderbirds (STL)D170772115227113100.00%1731618.59022778011065000.00%000000.4400001101
17Colton WhiteThunderbirds (STL)D32235226022814101314.29%1951616.131018135000022010.00%000000.1900000000
18Cam LundThunderbirds (STL)C23112-2200491411.11%51124.90011040000360043.48%4600000.3600000000
19Jagger FirkusThunderbirds (STL)RW321120204911599.09%11755.4900000000001050.00%1800000.2300000000
20Noah WarrenThunderbirds (STL)D3202222003043210.00%82036.360000000006000.00%000000.2000000010
21C.J. SmithThunderbirds (STL)LW32000000010000.00%030.120000100001000.00%000000.0000000000
Team Total or Average6451011832841434273557453285425859311.83%197926814.37325688243143424620122817457.01%246800000.6113133181516
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
1Erik PortilloThunderbirds (STL)32171230.9022.10185846656610100.0002320111
2Pheonix CopleySt-Louis Blues30000.8623.4869004290000.0000031000
Team Total or Average35171230.9002.15192746696900100.00023231111


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
Aidan McDonoughLW261999-11-06No190 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Albert JohanssonD252001-01-04No168 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Angus CrookshankLW261999-10-02No183 Lbs5 ft10NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
C.J. SmithLW311994-12-01No184 Lbs5 ft11NoNoNo3UFAPro & Farm500,000$0$0$NoLink
Cal PetersenG311994-10-19No185 Lbs6 ft2NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Cam LundC212004-06-07No195 Lbs6 ft2NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Colton WhiteD281997-05-03No187 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Domenick FensoreD242001-09-07No175 Lbs5 ft9NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Emil BemstromC/LW/RW261999-06-01No190 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Erik PortilloG252000-09-03No218 Lbs6 ft6NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Filip LarssonG271998-08-17No194 Lbs6 ft2NoNoNo3UFAPro & Farm300,000$0$0$NoLink
Jagger FirkusRW212004-04-29No153 Lbs5 ft10NoNoNo4ELCPro & Farm900,000$0$0$NoLink
John FarinacciC242001-02-14No197 Lbs5 ft11NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jon-Randall AvonC222003-07-04No175 Lbs6 ft0NoNoNo1ELCPro & Farm300,000$0$0$NoLink / NHL Link
Joona KoppanenLW271998-02-25No215 Lbs6 ft5NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Joseph BlandisiC311994-07-18No184 Lbs6 ft0NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Joseph CecconiD281997-05-23No210 Lbs6 ft2NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Keean WashkurakC242001-08-16No184 Lbs5 ft10NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Kyle CapobiancoD281997-08-13No198 Lbs6 ft3NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Kyle MacLeanC261999-04-29No194 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Logan MaillouxD222003-04-15No213 Lbs6 ft3NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Michael PezzettaLW/RW271998-03-13No219 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Noah WarrenD212004-07-15No224 Lbs6 ft4NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Olle LycksellRW261999-08-24No163 Lbs5 ft10NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Trey Fix-WolanskyRW261999-05-26No191 Lbs5 ft7NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Tyce ThompsonRW261999-07-12No175 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2625.73191 Lbs6 ft12.38442,308$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Aidan McDonoughEmil BemstromJoseph Blandisi40122
2Joona KoppanenJohn FarinacciOlle Lycksell30122
3Trey Fix-WolanskyKyle MacLeanMichael Pezzetta20122
4Angus CrookshankJoseph BlandisiJagger Firkus10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan MaillouxKyle Capobianco40122
2Albert JohanssonDomenick Fensore30122
3Noah WarrenColton White20122
4Logan MaillouxKyle Capobianco10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Trey Fix-WolanskyKyle MacLeanAidan McDonough60122
2Angus CrookshankEmil BemstromJohn Farinacci40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Albert JohanssonKyle Capobianco60122
2Logan MaillouxColton White40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Kyle MacLeanEmil Bemstrom60122
2Angus CrookshankMichael Pezzetta40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan MaillouxKyle Capobianco60122
2Domenick FensoreAlbert Johansson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Kyle MacLean60122Logan MaillouxKyle Capobianco60122
2Emil Bemstrom40122Domenick FensoreAlbert Johansson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1John FarinacciKyle MacLean60122
2Emil BemstromAngus Crookshank40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Domenick FensoreKyle Capobianco60122
2Albert JohanssonLogan Mailloux40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Trey Fix-WolanskyEmil BemstromJohn FarinacciLogan MaillouxKyle Capobianco
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Trey Fix-WolanskyEmil BemstromJohn FarinacciLogan MaillouxKyle Capobianco
Extra Forwards
Normal PowerPlayPenalty Kill
Emil Bemstrom, John Farinacci, Angus CrookshankEmil Bemstrom, Angus CrookshankEmil Bemstrom
Extra Defensemen
Normal PowerPlayPenalty Kill
Kyle Capobianco, Logan Mailloux, Domenick FensoreKyle CapobiancoKyle Capobianco, Logan Mailloux
Penalty Shots
Emil Bemstrom, Angus Crookshank, Kyle MacLean, Aidan McDonough, Olle Lycksell
Goalie
#1 : Erik Portillo, #2 : Cal Petersen


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
3237L210118328485469019743157406
All Games
GPWLOTWOTL SOWSOLGFGA
321412320110170
Home Games
GPWLOTWOTL SOWSOLGFGA
208822006439
Visitor Games
GPWLOTWOTL SOWSOLGFGA
126410013731
Last 10 Games
WLOTWOTL SOWSOL
541000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1773218.08%1852984.32%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
315272260104425294
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
57099757.17%56397357.86%27448656.38%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
846603693231389199


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
9 - 2025-08-2317Rocket2Thunderbirds1LBoxScore
10 - 2025-08-2425Penguins4Thunderbirds3LXBoxScore
15 - 2025-08-2932Thunderbirds1Wolfpack5LBoxScore
16 - 2025-08-3052Bruins4Thunderbirds3LBoxScore
17 - 2025-08-3161Thunderbirds3Bruins2WBoxScore
22 - 2025-09-0576Griffins3Thunderbirds5WBoxScore
23 - 2025-09-0690Bears3Thunderbirds4WXBoxScore
24 - 2025-09-0799Thunderbirds2Wolfpack1WBoxScore
29 - 2025-09-12116Islanders3Thunderbirds2LBoxScore
30 - 2025-09-13129Phantoms1Thunderbirds5WBoxScore
34 - 2025-09-17141Islanders3Thunderbirds2LXBoxScore
37 - 2025-09-20159Thunderbirds4Bears3WXBoxScore
38 - 2025-09-21170Thunderbirds2Bears3LXXBoxScore
43 - 2025-09-26195Phantoms2Thunderbirds0LBoxScore
44 - 2025-09-27210Checkers1Thunderbirds7WBoxScore
50 - 2025-10-03234Checkers0Thunderbirds6WBoxScore
51 - 2025-10-04245Thunderbirds3Wolfpack4LBoxScore
57 - 2025-10-10268Comets3Thunderbirds0LBoxScore
58 - 2025-10-11280Wolfpack0Thunderbirds7WBoxScore
59 - 2025-10-12295Thunderbirds4Bruins2WBoxScore
64 - 2025-10-17314Islanders2Thunderbirds1LBoxScore
65 - 2025-10-18326IceHogs0Thunderbirds5WBoxScore
72 - 2025-10-25363Thunderbirds2Penguins7LBoxScore
75 - 2025-10-28383Thunderbirds5Checkers0WBoxScore
76 - 2025-10-29387Thunderbirds8Checkers0WBoxScore
79 - 2025-11-01415Thunderbirds0Senators3LBoxScore
80 - 2025-11-02422Thunderbirds3Rocket1WBoxScore
85 - 2025-11-07432Wolfpack0Thunderbirds1WBoxScore
86 - 2025-11-08447Islanders1Thunderbirds6WBoxScore
89 - 2025-11-11459Wolfpack1Thunderbirds2WXBoxScore
92 - 2025-11-14475Americans4Thunderbirds3LBoxScore
100 - 2025-11-22529Bruins2Thunderbirds1LBoxScore
101 - 2025-11-23537Thunderbirds-Wolfpack-
104 - 2025-11-26546Thunderbirds-Islanders-
107 - 2025-11-29567Thunderbirds-Islanders-
108 - 2025-11-30580Thunderbirds-Bruins-
109 - 2025-12-01589Islanders-Thunderbirds-
113 - 2025-12-05607Thunderbirds-Phantoms-
114 - 2025-12-06621Bruins-Thunderbirds-
115 - 2025-12-07630Wolfpack-Thunderbirds-
120 - 2025-12-12656Thunderbirds-Wild-
121 - 2025-12-13668Thunderbirds-Wild-
127 - 2025-12-19679Thunderbirds-Bruins-
128 - 2025-12-20699Bruins-Thunderbirds-
132 - 2025-12-24715Thunderbirds-Griffins-
133 - 2025-12-25721Thunderbirds-Admirals-
135 - 2025-12-27737Thunderbirds-IceHogs-
139 - 2025-12-31761Wolfpack-Thunderbirds-
142 - 2026-01-03784Penguins-Thunderbirds-
143 - 2026-01-04794Thunderbirds-Islanders-
148 - 2026-01-09814Thunderbirds-Wolfpack-
149 - 2026-01-10832Thunderbirds-Bruins-
152 - 2026-01-13846Thunderbirds-Checkers-
153 - 2026-01-14851Thunderbirds-Checkers-
Trade Deadline --- Trades can’t be done after this day is simulated!
156 - 2026-01-17877Bruins-Thunderbirds-
157 - 2026-01-18884Thunderbirds-Islanders-
162 - 2026-01-23902Thunderbirds-Crunch-
163 - 2026-01-24917Crunch-Thunderbirds-
164 - 2026-01-25926Bruins-Thunderbirds-
167 - 2026-01-28940Bears-Thunderbirds-
169 - 2026-01-30951Admirals-Thunderbirds-
170 - 2026-01-31960Thunderbirds-Islanders-
176 - 2026-02-06995Wild-Thunderbirds-
177 - 2026-02-071010Wild-Thunderbirds-
178 - 2026-02-081018Thunderbirds-Bruins-
181 - 2026-02-111032Thunderbirds-Americans-
183 - 2026-02-131041Thunderbirds-Comets-
184 - 2026-02-141057Thunderbirds-Phantoms-
190 - 2026-02-201083Senators-Thunderbirds-
191 - 2026-02-211093Thunderbirds-Penguins-
197 - 2026-02-271129Checkers-Thunderbirds-
198 - 2026-02-281145Checkers-Thunderbirds-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance37,35418,546
Attendance PCT93.39%92.73%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
16 2795 - 93.17% 69,766$1,395,311$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,313,026$ 115,000$ 115,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 63,026$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,116,249$ 100 13,075$ 1,307,500$




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
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
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
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
187249150220426213013236265021021385880362310001021247252108262487749110097937022170706768730151244199612863937118.07%3964987.63%61339230058.22%1106199655.41%588101258.10%199114531508488846442
1970461008141261135126342050414012862663626504001133736011826148074101101017672203706676806631604477102113693667620.77%4285587.15%41303222058.69%1228215956.88%619102760.27%188313441529486835438
203214120320110170312088022006439251264010013731637101183284064425294854315272260106901974315741773218.08%1852984.32%257099757.17%56397357.86%27448656.38%846603693231389199
Total Regular Season150070153109753625644593611848753373253048292228228417115737473282780492440282175190027518294459790112360101694416921427114142078315138301391913545386501142018338274347372117915.99%7563108185.71%69252834558555.46%232864533451.37%115392104954.82%38015273483544010420174668796
Playoff
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
13115600000313105410000017116615000001420-610315788000139830701017578343931882778944.49%841384.52%018840047.00%20343846.35%8619843.43%34023331810316686
141376000002723464200000151147340000012120142749760101068307011689902689016923357610.53%59984.75%119140946.70%19136652.19%10218754.55%32322231510116785
166240000079-2312000005503120000024-2471421110214870262734131471201282428.33%55394.55%08115352.94%9419149.21%387848.72%13488149467635
172416800000755916131030000046301611650000029290327513821312032162372002312092346451934124861352518.52%1832785.25%149184558.11%45782255.60%19533857.69%633447598178292146
1923167000008047331210200000442123116500000362610328014522503039231665802102172105221563374891292418.60%1341588.81%252977867.99%44571362.41%22534964.47%638454528169289151
Total Playoff895039000002472004745321300000142905244182600000105110-51002474466933801086464242607897237452288681142919375187514.48%6097787.36%41635301754.19%1573298652.68%718132054.39%2364164922606921137574