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Adam Zampa vs Washington Sundar — International Fantasy Cricket Stats Comparison
Adam Zampa (Australia) has 70 T20I runs at avg 4.7 in 113 matches. Washington Sundar (India) has 265 T20I runs at avg 16.6 in 55 matches. Head-to-head batting, bowling & fielding across T20I, ODI & Test.
Full season · batting · bowling · fielding · MOTM · form
Adam Zampa vs Washington Sundar — Stat Comparison Table
Head-to-head numbers at a glance. Higher value is highlighted in green (lower is better for economy and bowling/batting averages).
| Statistic | Adam Zampa | Washington Sundar |
|---|---|---|
| Matches | 2 | 20 |
| Avg fantasy points | 37 | 45 |
| Best fantasy score | 54 | 223 |
| Runs | 10 | 381 |
| Strike rate | 41.7 | 111.1 |
| Fours | 0 | 37 |
| Sixes | 0 | 8 |
| Half-centuries (50+) | 0 | 4 |
| Highest score | 10 | 52 |
| Wickets | 1 | 6 |
| Economy rate | 3.62 | 4.92 |
| Best spell (wkts) | 1 | 5 |
| Catches | 1 | 5 |
| Total dismissals | 1 | 5 |
| Statistic | Adam Zampa | Washington Sundar |
|---|---|---|
| Matches | 113 | 55 |
| Runs | 70 | 265 |
| Batting average | 4.67 | 16.56 |
| Strike rate | 77.8 | 132.5 |
| Half-centuries (50+) | 0 | 1 |
| Wickets | 143 | 50 |
| Bowling average | 20.87 | 22.50 |
| Economy rate | 7.40 | 6.93 |
| Five-wicket hauls | 1 | 0 |
Adam Zampa vs Washington Sundar — T20I is a highly-debated cricket matchup. Below are their T20I career highlights.
T20I career: Adam Zampa has scored 70 T20I runs in 113 matches at an average of 4.67. He has also taken 143 T20I wickets at an average of 20.87 with an economy of 7.40.
T20I career: Washington Sundar has scored 265 T20I runs in 55 matches at an average of 16.56, with 1 half-century. He has also taken 50 T20I wickets at an average of 22.50 with an economy of 6.93.
Fantasy Impact: From a pure fantasy perspective, Washington Sundar is the stronger pick with an average of 45 pts per game in recent fantasy cricket. Always check the playing XI and toss before locking in your captain.
Stats are sourced from international career records. Compare more players using our Player Comparison Tool.
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