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Nat Sciver-Brunt vs Rohit Sharma — International Fantasy Cricket Stats Comparison
Nat Sciver-Brunt (England Women) has 3,256 T20I runs at avg 34.3 in 120 matches. Rohit Sharma (India) has 4,042 T20I runs at avg 30.9 in 153 matches. Head-to-head batting, bowling & fielding across T20I, ODI & Test.
Full season · batting · bowling · fielding · MOTM · form
Nat Sciver-Brunt vs Rohit Sharma — 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 | Nat Sciver-Brunt | Rohit Sharma |
|---|---|---|
| Matches | 5 | 12 |
| Avg fantasy points | 88 | 63 |
| Best fantasy score | 145 | 153 |
| Runs | 282 | 426 |
| Strike rate | 104.8 | 140.1 |
| Fours | 32 | 38 |
| Sixes | 3 | 27 |
| Half-centuries (50+) | 3 | 3 |
| Highest score | 75 | 84 |
| Catches | 3 | 4 |
| Total dismissals | 3 | 4 |
| Statistic | Nat Sciver-Brunt | Rohit Sharma |
|---|---|---|
| Matches | 120 | 153 |
| Runs | 3256 | 4042 |
| Batting average | 34.27 | 30.85 |
| Strike rate | 138.0 | 140.6 |
| Centuries (100+) | 0 | 4 |
| Half-centuries (50+) | 18 | 31 |
| Wickets | 88 | 1 |
| Bowling average | 22.13 | 103.00 |
| Economy rate | 6.62 | 9.97 |
Nat Sciver-Brunt vs Rohit Sharma — T20I is a highly-debated cricket matchup. Below are their T20I career highlights.
T20I career: Nat Sciver-Brunt has scored 3,256 T20I runs in 120 matches at an average of 34.27, with 18 half-centuries. She has also taken 88 T20I wickets at an average of 22.13 with an economy of 6.62.
T20I career: Rohit Sharma has scored 4,042 T20I runs in 153 matches at an average of 30.85, with 4 centuries. He has also taken 1 T20I wickets at an average of 103.00 with an economy of 9.97.
Fantasy Impact: From a pure fantasy perspective, Nat Sciver-Brunt is the stronger pick with an average of 88 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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