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Boxing Day Test

Boxing Day Test

Date26 Dec 2026 – 30 Dec 2026
TypeCricket Test match
LocationMelbourne Cricket Ground
Winner 2025England

WHO IS AUSTRALIA PLAYING IN THE BOXING DAY TEST?

Fast facts

Australia’s Graham Yallop posted the highest-ever individual score in Boxing Day Test history with 268 against Pakistan in 1983 – one of only seven double centuries produced in the annual fixture.

England’s Alastair Cook boasts the highest individual score in a Boxing Day Test by a visiting player, accumulating an unbeaten 244 in the drawn 2017 Ashes clash.

Australian fast bowlers Mitchell Johnson (2012–13) and Pat Cummins (2023–24) are the only players to win Boxing Day Test player of the match awards in back-to-back years.

WHAT TIME DOES THE BOXING DAY TEST START?

WHAT IS THE BOXING DAY TEST FINISH TIME?

BOXING DAY ATTENDANCE

BOXING DAY TEST WINNERS AND RESULTS

Boxing Day Test Winners

Here is a list of the past Boxing Day Test matches and winners:

Year
Opposition
Result
Boxing Day Crowd
Total Attendance
2025
England
England won by 4 wickets
94 199
186 244
2024
India
Australia won by 184 runs
87 242
373 691
2023
Pakistan
Australia won by 79 runs
62 167
164 835
2022
South Africa
Australia won by an inning and 182 runs
64 876
155 714
2021
England
Australia won by 267 runs
57 100
140 671
2020
India
India won by 8 wickets
27 615
89 472
2019
New Zealand
Australia won by 247 runs
80 473
203 472
2018
India
India won by 137 runs
73 516
176 539
2017
England
Draw
53 389
261 335
2016
Pakistan
Australia won by an innings and 18 runs
63 478
142 188
2015
West Indies
Australia won by 177 runs
53 389
127 069
2014
India
Draw
69 993
194 481
2013
England
Australia won by 8 wickets
91 112
271 865
2012
Sri Lanka
Australia won by an innings and 201 runs
67 138
137 455
2011
India
Australia won by 122 runs
70 068
189 347
2010
England
England won by an innings and 157 runs
84 345
240 156
2009
Pakistan
Australia won by 170 runs
59 206
156 267
2008
South Africa
South Africa won by 9 wickets
63 263
174 246
2007
India
Australia won by 337 runs
68 465
166 663
2006
England
Australia won by an innings and 99 runs
89 155
244 351
2005
South Africa
Australia won by 184 runs
71 910
192 337
2004
Pakistan
Australia won by 9 wickets
61 552
129 079
2003
India
Australia won by 9 wickets
62 613
179 662
2002
England
Australia won by 5 wickets
64 189
177 658
2001
South Africa
Australia won by 9 wickets
61 796
153 025
2000
West Indies
Australia won by 352 runs
73 233
133 299

Frequently Asked Questions

  • [Q] What are the odds for the Boxing Day Test?

    [A] Sportsbet provides the latest prices for the Boxing Day Test, including Head-to-Head, Draw No Bet, and Top Runscorer markets. To view the current decimal odds for Australia vs India (or the upcoming Ashes series), visit our futures and outrights page.

  • [Q] Who won the last Boxing Day Test?

    [A] England won the most recent Boxing Day Test (2026) against Australia at the Melbourne Cricket Ground (MCG). In the previous year (2023), Australia defeated India by 184 runs. 

  • [Q] What does +320 odds mean?

    [A] +320 is an American moneyline odds format that indicates the profit on a $100 bet. In Australia, Sportsbet uses Decimal Odds. To convert +320 to decimal, you divide by 100 and add 1 (320/100 + 1). Therefore, +320 is equivalent to $4.20 in decimal odds.

  • [Q] Who is the favorite to win the Boxing Day Test?

    [A] Australia typically enters the Boxing Day Test as the favourite. Market favorites are determined by the lowest decimal odds listed on the Sportsbet market page; for example, a team priced at $1.50 is favored over a team priced at $3.00.

  • [Q] Where can I find reliable cricket odds?

    [A] You can find reliable, regulated cricket odds right here at Sportsbet. As Australia's favourite online betting website, we offer up-to-date markets for the Boxing Day Test, The Ashes, and the Big Bash League, all regulated by the Northern Territory Racing Commission.

  • [Q] How do I calculate the chances of a team winning?

    [A] To calculate the implied probability of a team winning based on their odds, divide 1 by the decimal price. For example, if a team is paying $3.00 to win, their implied probability is 33.3% (1 ÷ 3.00). Always check the latest for real-time pricing.

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