Thunderbirds

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Ian Laporte | Morale : 50 | Team Overall : 62
Next Games #22 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
1Rudolfs Balcers0XX100.007137886769828166576465706766685350650
2Trey Fix-Wolansky0X100.006237756766898466626567616864664850650
3Keegan Kolesar0X100.009082736584808963706561626667686350650
4Jesper Froden0X100.006037846766868166696566636870693650650
5Joona Koppanen0X100.008141886293798459806358685965675550650
6Garrett Wilson0X100.007872516187888660636160626072743750640
7Pavel Dorofeyev0X100.006440806676848164626168596663656450640
8Connor McMichael0X100.006037946770878566736261596563628150630
9Jack Drury0X100.005737786367848761866260656364657450630
10Michael Pezzetta0XX100.009078646579738364576162566065674750630
11Adam Klapka0X100.009057665999817056605758635563654550620
12Angus Crookshank0X100.006038866369937262615965586466645750620
13Joseph Blandisi0X100.006240716271807961706360596269714050620
14Kyle Rau0X100.005537806364828462736162566371734950620
15Olle Lycksell0X100.006135936563837064696658626465664850620
16Beck Malenstyn0X100.008240876283768457565859635665665450620
17Linus Weissbach0X100.005638786265798561646260566165674750610
18Tyce Thompson0X100.006138806072817459555860596164666150600
19Nicolas Meloche0X100.008242726286828360306255674866687250660
20Josh Mahura0X100.007134846771848264306960655365666150660
21Alec Regula0X100.007643706088848057305859645163656650650
22Colton White0X100.006540906775827565306858635066686050650
23Jordan Spence0X100.006337856667908564306960625162646550650
24Kyle Capobianco0X100.006236766681867065306460575265676450630
Scratches
1CJ Suess0X100.006139805970727757615859645969714750600
2Luke Johnson0X100.005840726067807659675856635769714650600
3Kyle MacLean0X100.006842705777758556645758595564664350600
4Ty Ronning0X100.006336895963907858595660545966684750600
5Brent Gates Jr.0X100.007138925780727556655754565566686150590
6C.J. Smith0X100.006236915971857557555256545769713650590
7Brandon Baddock0X100.008580545687718453545152575368704150590
8Mikhail Abramov0X100.005735935866758259655857566062646050590
9Greg Meireles0X100.005737885766748056595856545864664850580
10Cristiano Digiacinto0X100.006041705669747553595755545567694250570
11Keean Washkurak0X100.005839755667758055615359525762644950570
12Joseph Cecconi0X100.007340785482698253305553564566685550600
13Andrew Nielsen0X100.007641745385626452305351574567695650590
14Simon Johansson0X100.006538875474667153305652544564665350580
15Albert Johansson0X100.005939775568656953305654574662646850570
TEAM AVERAGE100.00674379617479796055605960576667545062
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
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


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 NielsenD261996-11-13No210 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Angus CrookshankLW231999-10-02No181 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 McMichaelC222001-01-15No180 Lbs6 ft0NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Cristiano DigiacintoLW271996-01-10No183 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$0$0$NoLink
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
Josh MahuraD251998-05-05No185 Lbs6 ft0NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Keean WashkurakC222001-08-16No184 Lbs5 ft10NoNoNo3ELCPro & Farm300,000$0$0$NoLink
Keegan KolesarRW261997-04-08No217 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
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 RauLW301992-10-24No171 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
Michael PezzettaLW/RW251998-03-13No210 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
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 DorofeyevLW222000-10-26No194 Lbs6 ft1NoNoNo2ELCPro & 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 RonningRW251997-10-20No167 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
4225.45191 Lbs6 ft12.00427,381$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Trey Fix-WolanskyJack DruryRudolfs Balcers40122
2Joona KoppanenConnor McMichaelJesper Froden30122
3Pavel DorofeyevKeegan KolesarGarrett Wilson20122
4Adam KlapkaJoseph BlandisiMichael Pezzetta10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas MelocheJosh Mahura40122
2Jordan SpenceAlec Regula30122
3Kyle CapobiancoColton White20122
4Nicolas MelocheAlec Regula10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joona KoppanenConnor McMichaelJesper Froden60122
2Rudolfs BalcersJack DruryKeegan Kolesar40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas MelocheAlec Regula60122
2Jordan SpenceColton White40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Joona KoppanenJesper Froden60122
2Rudolfs BalcersKeegan Kolesar40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas MelocheAlec Regula60122
2Jordan SpenceColton White40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Joona Koppanen60122Nicolas MelocheAlec Regula60122
2Jesper Froden40122Jordan SpenceColton White40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Joona KoppanenJesper Froden60122
2Rudolfs BalcersKeegan Kolesar40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas MelocheAlec Regula60122
2Jordan SpenceColton White40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Joona KoppanenConnor McMichaelJesper FrodenNicolas MelocheAlec Regula
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Joona KoppanenConnor McMichaelJesper FrodenNicolas MelocheAlec Regula
Extra Forwards
Normal PowerPlayPenalty Kill
Beck Malenstyn, Kyle Rau, Angus CrookshankBeck Malenstyn, Kyle RauAngus Crookshank
Extra Defensemen
Normal PowerPlayPenalty Kill
Kyle Capobianco, Jordan Spence, Colton WhiteKyle CapobiancoJordan Spence, Colton White
Penalty Shots
Joona Koppanen, Jesper Froden, Rudolfs Balcers, Keegan Kolesar, Pavel Dorofeyev
Goalie
#1 : Ivan Prosvetov, #2 : Magnus Hellberg


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
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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 - 2023-08-1422Wolfpack-Thunderbirds-
6 - 2023-08-1527Bruins-Thunderbirds-
11 - 2023-08-2038Phantoms-Thunderbirds-
12 - 2023-08-2146Thunderbirds-Penguins-
13 - 2023-08-2260Thunderbirds-Phantoms-
18 - 2023-08-2775Thunderbirds-Wolfpack-
19 - 2023-08-2893Bruins-Thunderbirds-
20 - 2023-08-29101Thunderbirds-Bruins-
25 - 2023-09-03118Senators-Thunderbirds-
26 - 2023-09-04133Phantoms-Thunderbirds-
27 - 2023-09-05139Thunderbirds-Islanders-
30 - 2023-09-08143Phantoms-Thunderbirds-
32 - 2023-09-10155Thunderbirds-Bruins-
33 - 2023-09-11164Thunderbirds-Islanders-
37 - 2023-09-15184Thunderbirds-Wolfpack-
39 - 2023-09-17197Comets-Thunderbirds-
44 - 2023-09-22233Islanders-Thunderbirds-
46 - 2023-09-24243Wolfpack-Thunderbirds-
47 - 2023-09-25259Comets-Thunderbirds-
53 - 2023-10-01282Penguins-Thunderbirds-
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
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
36 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 179,500$ 0$ 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$ 195 1,433$ 279,435$




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
Total Regular Season171676466609258706650104498512858404326046282430253421583768583603400463046362476234013619765010884613856121800195416161278477640157341574615772464021365621762321888582132615.45%9008135085.01%76281005151854.54%259145226449.58%127342416852.69%42608305934156211955198019868
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