Player A
Player B
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Player A vs Player B
Comparing across all formats based on career statistics. Player A leads in some metrics, while Player B holds an edge in others.
Comparison Result
▲ indicates statistical advantage
Statistic
India
Player A
Team · Role · Age —
Australia
Player B
Team · Role · Age —
Batting
Matches
500
398
Innings
476
374
Runs
26,565
16,843
Batting Avg
53.6
57.9
Strike Rate
92.4
78.1
100s / 50s
80 / 131
32 / 38
Highest Score
254*
239
Not Outs
80
84
Test Cricket
Test Avg
48.7
59.4
Test Runs
8,848
9,074
Test 100s
29
32
ODI Cricket
ODI Avg
58.1
42.3
ODI Runs
13,906
3,571
ODI 100s
50
11
T20 International
T20I Avg
51.6
34.2
T20I SR
139.5
127.8
T20I Runs
4,188
776
Batting Average (Overall) Higher is better
AVG
53.6 57.9
Strike Rate (T20I) Higher is better
S/R
139.5 127.8
International Centuries Higher is better
100s
80 32
ODI Batting Average Higher is better
ODI
58.1 42.3
Test Batting Average Higher is better
TEST
48.7 59.4
Attribute Breakdown
Player A
Player B
92/100
ODI Form
68/100
74/100
Test Form
91/100
88/100
T20 Form
55/100
85/100
Consistency
89/100
95/100
Big Match
82/100
78/100
Away Record
84/100
India Player A — Likelihoods
Scoring 50+ in ODIs 71%
Scoring 30+ in T20Is 64%
Century in Tests 28%
Top scorer in match 44%
Based on 476 innings of historical data. Probabilities derived from logistic regression model trained on format-specific match conditions.
Australia Player B — Likelihoods
Scoring 50+ in ODIs 52%
Scoring 30+ in T20Is 41%
Century in Tests 31%
Top scorer in match 38%
Based on 374 innings of historical data. Probabilities derived from logistic regression model trained on format-specific match conditions.
All insights are based on historical data and statistical models. Actual outcomes may vary significantly. This is not a prediction tool — probabilities reflect patterns in past performance only.