⚔️HEAD-TO-HEAD
Nathan Ellis vs Rohit Sharma — International Fantasy Cricket Stats Comparison
Nathan Ellis (Chennai Super Kings) has 39 T20I runs at avg 7.8 in 36 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
Nathan Ellis 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 | Nathan Ellis | Rohit Sharma |
|---|---|---|
| Matches | 3 | 12 |
| Avg fantasy points | 92 | 63 |
| Best fantasy score | 165 | 153 |
| Runs | 14 | 426 |
| Strike rate | 53.8 | 140.1 |
| Fours | 1 | 38 |
| Sixes | 0 | 27 |
| Half-centuries (50+) | 0 | 3 |
| Highest score | 8 | 84 |
| Wickets | 7 | 0 |
| Economy rate | 4.72 | 0.00 |
| Best spell (wkts) | 4 | 0 |
| Catches | 0 | 4 |
| Total dismissals | 0 | 4 |
| Statistic | Nathan Ellis | Rohit Sharma |
|---|---|---|
| Matches | 36 | 153 |
| Runs | 39 | 4042 |
| Batting average | 7.80 | 30.85 |
| Strike rate | 63.9 | 140.6 |
| Centuries (100+) | 0 | 4 |
| Half-centuries (50+) | 0 | 31 |
| Wickets | 55 | 1 |
| Bowling average | 17.78 | 103.00 |
| Economy rate | 7.79 | 9.97 |
Nathan Ellis vs Rohit Sharma — T20I is a highly-debated cricket matchup. Below are their T20I career highlights.
T20I career: Nathan Ellis has scored 39 T20I runs in 36 matches at an average of 7.80. He has also taken 55 T20I wickets at an average of 17.78 with an economy of 7.79.
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, Nathan Ellis is the stronger pick with an average of 92 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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