India v Zimbabwe betting tips, prediction & odds
Women's T20I · T20I · Tuesday 20 October at 14:30
Odds updated (UK time) · full refresh every day at 08:00, then hourly
Every number below comes from 9,648 ball-by-ball simulations of this match (model cricket-sim-1.0.0), run on real historical delivery data. Selections are not published as tips until the model passes backtesting.
Team news & expected XI
Official team sheets are used the moment they are published. Until then each XI is the model's own selection read: who this side has picked in this format, where they batted and how many overs they bowled. Form figures are exponentially weighted over the last year, so recent matches count for more.
India
No selection historyNo expected XI: we have no recorded selection history for this side in this format.
Zimbabwe
No selection historyNo expected XI: we have no recorded selection history for this side in this format.
Pitch & ground
Shaheed Veer Narayan Singh International Stadium, Raipur, India
Shaheed Veer Narayan Singh International Stadium · T20I
- Average 1st innings
- 185.0
- Average 2nd innings
- 181.0
- Runs per over
- 9.48
- Boundary balls
- 2071%
- Pace economy
- 10.33
- Spin economy
- 8.59
- Powerplay RPO
- 9.65
- Death RPO
- 9.68
- Chasing wins
- 7500%
- Batting first wins
- 2500%
- Matches counted
- 4
Weather at the start
No forecast is available: a match needs a confirmed ground with coordinates and a start time inside the next two weeks.
What we could not source
- · India: we have no selection history for this side in T20I, so no expected XI is shown.
- · Zimbabwe: we have no selection history for this side in T20I, so no expected XI is shown.
- · No forecast is available for this ground yet.
Every live spread market
The full set of Spreadex spread lines currently priced on this match, exactly as captured. Sell below the lower figure, buy above the higher one. Where the simulation covers a market we show its expected makeup beside the price, the side that implies and the edge in points per £1 a point — comparisons, not tips, until the format clears backtesting.
Odds updated (UK time) · captured hourly from the live market
Match Result
| India (W) to win match | 96.5 | 100 | 66.9 | sell | +29.6 |
| Zimbabwe (W) to win match | 0 | 3.5 | 31.2 | buy | +27.7 |
Supremacy
| India (W)/Zimbabwe (W) | 78 | 86 | 9.1 | sell | +68.9 |
More T20I spread markets across every priced match.
Model vs market
The simulation output next to the live bookmaker price on every market we hold a price for. Fixed-odds edges are expected value per £1 staked; spread edges are the expected points gained per £1 a point. Positive numbers are where the model disagrees with the price — they are comparisons, not published tips.
| Match winner | Zimbabwe | 31.2% (3.20) | 29.00 | back | +805.3% EVFlagged |
| Supremacy | India (W)/Zimbabwe (W) | 9.1 | 78 – 86 | sell | +68.9 runs |
| Match result index | India to win match | 66.9 | 96.5 – 100 | sell | +29.6 pts |
| Match result index | Zimbabwe to win match | 31.2 | 0 – 3.5 | buy | +27.7 pts |
| Match winner | India | 66.9% (1.49) | 1.00 | back | -33.1% EVFlagged |
“Flagged” means the gap between the model and the price is too big to be a real edge — we read it as a sign the model is missing something about this match, and it is one of the checks that keeps tips switched off.
Match winner projection
India to win
- Head-to-head: 0-0 in 3 stored T20I meetingsLOW sampleIndia have won 0 of the 3 completed T20I matches we hold between these sides, the most recent on 20 Oct 2026.India full record
- Projected runs: 107.4 vs 98.3The simulation gives India a +9.1 run expected margin over Zimbabwe, from 9,648 simulated innings.
- Shaheed Veer Narayan Singh International Stadium · T20I: 25.0% of matches won batting firstLOW sampleChasing sides have won 75.0% at this ground across 4 recorded matches, which is built into the simulated result.
- Model and market disagree too far to trustModel 66.9% against 0.0% implied by 1.00 with the bookmaker margin stripped out — -33.1% per £1 staked. A gap this size is more likely a data problem than an edge, so it is flagged rather than tipped.
Zimbabwe to win
- Head-to-head: 0-0 in 3 stored T20I meetingsLOW sampleZimbabwe have won 0 of the 3 completed T20I matches we hold between these sides, the most recent on 20 Oct 2026.Zimbabwe full record
- Shaheed Veer Narayan Singh International Stadium · T20I: 25.0% of matches won batting firstLOW sampleChasing sides have won 75.0% at this ground across 4 recorded matches, which is built into the simulated result.
- Projected runs: 98.3 vs 107.4The simulation gives Zimbabwe a -9.1 run expected margin over India, from 9,648 simulated innings.
- Model and market disagree too far to trustModel 31.2% against 100.0% implied by 29.00 with the bookmaker margin stripped out — +805.3% per £1 staked. A gap this size is more likely a data problem than an edge, so it is flagged rather than tipped.
- Confidence 47/100, data depth 44/100Confidence is scored from the ball-by-ball history behind these teams, how settled the XI is and how many simulations agreed.
Supremacy spread
Team runs projection
India
| 120+ | 35.6% |
| 140+ | 20.8% |
| 160+ | 10.6% |
| 180+ | 3.1% |
| 200+ | 0.3% |
Zimbabwe
| 120+ | 25.5% |
| 140+ | 8.0% |
| 160+ | 1.3% |
| 180+ | 0.1% |
| 200+ | 0.0% |
India runs
- 107.4 projected vs 185.0 parMEDIUM sampleShaheed Veer Narayan Singh International Stadium · T20I averages 185.0 in the first innings over 4 matches; the model has India below that by 77.6 runs.
- Middle of the range 105.0, 10th–90th 61–161Eight innings in ten finish inside that band, with 3.0 wickets lost on average and 41.7 powerplay runs.
Zimbabwe runs
- 98.3 projected vs 185.0 parMEDIUM sampleShaheed Veer Narayan Singh International Stadium · T20I averages 185.0 in the first innings over 4 matches; the model has Zimbabwe below that by 86.7 runs.
- Middle of the range 99.0, 10th–90th 59–136Eight innings in ten finish inside that band, with 4.9 wickets lost on average and 32.8 powerplay runs.
Player runs projection
Expected runs today, not a career average: each player's chance of batting, expected balls faced and the opposition attack are simulated together.
India | 29.5 | 25 | 66 | 90.0% | 27 | 56.5% | 22.1% | — | — |
India | 28.1 | 25 | 58 | 97.0% | 21 | 59.0% | 16.3% | — | — |
Zimbabwe | 21.9 | 17 | 50 | 97.0% | 21 | 45.3% | 10.5% | — | — |
Zimbabwe | 15.1 | 6 | 45 | 61.0% | 29 | 32.7% | 7.1% | — | — |
Zimbabwe | 14.4 | 6 | 43 | 66.0% | 21 | 29.5% | 6.8% | — | — |
Zimbabwe | 14.4 | 10 | 36 | 91.0% | 17 | 29.4% | 3.4% | — | — |
India | 14.3 | 9 | 38 | 96.0% | 18 | 30.6% | 4.1% | — | — |
India | 13.4 | 5 | 40 | 72.0% | 19 | 28.9% | 5.0% | — | — |
India | 6.6 | 0 | 24 | 41.0% | 17 | 13.8% | 1.4% | — | — |
India | 6.3 | 0 | 22 | 97.0% | 12 | 12.1% | 1.1% | — | — |
Zimbabwe | 6.3 | 0 | 21 | 62.0% | 13 | 11.2% | 0.6% | — | — |
Zimbabwe | 6.3 | 0 | 21 | 60.0% | 14 | 11.7% | 0.5% | — | — |
Zimbabwe | 6.1 | 1 | 20 | 74.0% | 12 | 10.1% | 0.3% | — | — |
Zimbabwe | 4.2 | 0 | 15 | 61.0% | 8 | 6.2% | 0.3% | — | — |
Zimbabwe | 3.8 | 0 | 15 | 47.0% | 13 | 6.5% | 0.1% | — | — |
India | 3.4 | 0 | 13 | 97.0% | 11 | 6.0% | 0.3% | — | — |
India | 3.1 | 0 | 12 | 47.0% | 12 | 5.6% | 0.2% | — | — |
Zimbabwe | 3.0 | 0 | 12 | 42.0% | 11 | 4.9% | 0.1% | — | — |
Zimbabwe | 2.8 | 0 | 10 | 65.0% | 12 | 2.8% | 0.0% | — | — |
India | 1.1 | 0 | 1 | 59.0% | 9 | 1.6% | 0.0% | — | — |
India | 0.8 | 0 | 0 | 70.0% | 8 | 1.0% | 0.0% | — | — |
India | 0.7 | 0 | 0 | 51.0% | 8 | 0.8% | 0.0% | — | — |
S Mandhana runs
- Expected to face 27 balls at number 1Opportunity drives the projection: 29.5 runs on average, 66 in the top 10% of simulations.
Shafali Verma runs
- Expected to face 21 balls at number 2Opportunity drives the projection: 28.1 runs on average, 58 in the top 10% of simulations.
K Ndlovu runs
- Expected to face 21 balls at number 3Opportunity drives the projection: 21.9 runs on average, 50 in the top 10% of simulations.
M Mupachikwa runs
- Expected to face 29 balls at number 2Opportunity drives the projection: 15.1 runs on average, 45 in the top 10% of simulations.
- Only 61% likely to playTaken from how often the player has been selected in this team's recent XIs; the projection is already scaled down for it.
CS Mugeri-Tiripano runs
- Expected to face 21 balls at number 5Opportunity drives the projection: 14.4 runs on average, 43 in the top 10% of simulations.
- Only 66% likely to playTaken from how often the player has been selected in this team's recent XIs; the projection is already scaled down for it.
B Biza runs
- Expected to face 17 balls at number 7Opportunity drives the projection: 14.4 runs on average, 36 in the top 10% of simulations.
- Thin data (47/100)Not enough recorded balls behind this player in this format for a firm number.
How these projections are built
The model simulates the match ball by ball from historical delivery data: expected line-ups and batting positions, opposition bowling attack, venue scoring and format baselines. Each figure is the output of those simulations, never an estimate written by hand. Track its settled record on the cricket model performance page, and see the live prices on the cricket betting hub.