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ReplayIndia tour of Zimbabwe · Match 3 · ODI
22 Aug 2022 · Harare Sports Club · India won the toss and chose to bat.
A real match, replayed ball by ball from its Cricsheet record. Nothing here is simulated.
0/00 ov
Batting
Bowling
R Ngarava0-0-0-0
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The first ball has not been bowled yet. Press play or step forward.
Model of the match state only (score, balls, wickets)
▲ India ahead · the axis is India's chance of winning
| Innings | Over | Score | India | Zimbabwe |
|---|---|---|---|---|
| 1 | 0.0 | Start | 48% | 52% |
257projected · 80% range 178–335
Par 250 · projection 7 above par
Venue par at Harare Sports Club, from 107 completed first innings. Par is the first-innings total that gives the side batting first an even chance.
S Dhawan facing R Ngarava
Left-arm fast-medium · Powerplay (1-10)
Career figures as of 2 Nov 2026, so they include matches after this one (22 Aug 2022).
India0/0 (0 ov) · in progress
| Batter | R | B | 4s | 6s | SR | |
|---|---|---|---|---|---|---|
| S Dhawan*batting | 0 | 0 | 0 | 0 | – | |
| KL Rahul*batting | 0 | 0 | 0 | 0 | – | |
| Extras | 0 | |||||
| Total | 0/0 (0 ov) | |||||
Yet to bat: Shubman Gill, Ishan Kishan, DJ Hooda, SV Samson, AR Patel, SN Thakur, DL Chahar, Kuldeep Yadav, Avesh Khan
| Bowler | O | M | R | W | Econ |
|---|
Replays carry no fielders, so catches name only the bowler.
Runs after each over. Dots mark overs in which wickets fell.
No overs bowled yet.
Top strength (▲) and weakness (▼) from each player's career in this format, as of 2 Nov 2026, against comparable players.
Strength: Middle (11-40): strike rate 100.0 · 95th percentile · 3,644 balls
Weakness: West Indies: average 30.1 · 2nd percentile · 711 balls
Strength: Death (41-50): strike rate 152.7 · 96th percentile · 569 balls
Weakness: Chasing: average 42.0 · 6th percentile · 1,564 balls
Strength: Powerplay (1-10): average 79.3 · 91st percentile · 1,527 balls
Weakness: Middle (11-40): average 52.1 · 5th percentile · 1,784 balls
Strength: Batting first: average 62.3 · 100th percentile · 517 balls
Weakness: At home: average 23.3 · 2nd percentile · 275 balls
No strength or weakness clears the sample threshold.
Strength: South Africa: average 119 · 98th percentile · 240 balls
Weakness: Batting first: average 36.9 · 2nd percentile · 319 balls
Strength: Chasing: average 34.8 · 98th percentile · 606 balls
Weakness: Left-handed batters: economy 5.3 · 1st percentile · 882 balls
Strength: Right-handed batters: economy 5.8 · 99th percentile · 1,173 balls
Weakness: Left-handed batters: economy 7.0 · 5th percentile · 731 balls
Strength: Away from home: average 26.6 · 83rd percentile · 336 balls
Strength: South Africa: average 17.6 · 99th percentile · 767 balls
Weakness: Australia: average 40.1 · 15th percentile · 1,296 balls
No strength or weakness clears the sample threshold.
Strength: Pace: average 33.3 · 99th percentile · 206 balls
Strength: Middle (11-40): strike rate 74.0 · 93rd percentile · 354 balls
Weakness: Pace: average 20.5 · 13th percentile · 543 balls
Strength: Slow left-arm orthodox: strike rate 98 · 93rd percentile · 700 balls
Weakness: Right-arm fast-medium: strike rate 79.2 · 1st percentile · 1,410 balls
Strength: Chasing: average 39.3 · 96th percentile · 157 balls
Strength: Slow left-arm orthodox: average 84.3 · 96th percentile · 746 balls
Weakness: Slow left-arm orthodox: strike rate 67.8 · 1st percentile · 746 balls
Strength: Pace: average 29.1 · 96th percentile · 857 balls
Weakness: Away from home: average 18.4 · 6th percentile · 1,027 balls
Strength: At home: average 33.7 · 75th percentile · 548 balls
Weakness: Batting first: average 23.9 · 17th percentile · 488 balls
Strength: Middle (11-40): economy 5.3 · 85th percentile · 618 balls
Weakness: Middle (11-40): average 11.9 · 6th percentile · 263 balls
Strength: Right-handed batters: economy 5.5 · 94th percentile · 639 balls
Weakness: Right-handed batters: average 36.4 · 7th percentile · 639 balls
Strength: Powerplay (1-10): economy 4.5 · 84th percentile · 1,091 balls
Weakness: Powerplay (1-10): strike rate 47.4 · 21st percentile · 1,091 balls
No strength or weakness clears the sample threshold.