Mozambique v Zambia betting tips, prediction & odds
World T20 Qualifier · T20 · Sunday 25 October at 08:30
Odds updated (UK time) · full refresh every day at 08:00, then hourly
Our cricket model has not produced a projection for this match yet — usually because we do not hold enough ball-by-ball history for these teams in this format. Live prices for this match are on the cricket board.
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.
Mozambique
Expected XI from selection history| Order | Player | Role | Plays | Form runs | Overs |
|---|---|---|---|---|---|
| 1 | JJ Huo | all-rounder | 97% | 50.1@ 189.7 | 3.1 |
| 2 | J Bulele | all-rounder | 56% | 20.6@ 92.5 | 3.6 |
| 3 | LI Salomone | all-rounder | 89% | 10.4@ 108.9 | 3.0 |
| 4 | FFZ Nhaduate | all-rounder | 64% | 42.4@ 178.8 | 3.6 |
| 5 | VE Tembo | all-rounder | 90% | 16.1@ 151.3 | 2.0 |
| 6 | JM Joao | batter | 90% | 8.3@ 99.3 | 1.5 |
| 7 | AA Navicha | all-rounder | 97% | 21.4@ 162.9 | 3.1 |
| 8 | CB Roposo | all-rounder | 97% | 9.0@ 90.5 | 3.2 |
| 9 | MF Manjate | batter | 36% | 0.4@ 23.4 | 1.0 |
| 10 | LF Mavume | batter | 34% | 9.0@ 69.2 | 0.0 |
| 11 | N Ndzeute | all-rounder | 67% | 1.0@ 50.0 | 3.3 |
| 12 | MA Algi | all-rounder | 63% | 5.6@ 115.3 | 2.4 |
| 13 | CM Mbebe | all-rounder | 55% | 7.6@ 179.1 | 3.6 |
Zambia
Expected XI from selection history| Order | Player | Role | Plays | Form runs | Overs |
|---|---|---|---|---|---|
| 1 | Vasmiakram Chand | batter | 46% | 19.9@ 99.0 | 0.0 |
| 2 | Muhammad Asim | all-rounder | 72% | 20.2@ 121.5 | 2.9 |
| 3 | Ismail Kara | all-rounder | 46% | 35.3@ 166.0 | 3.8 |
| 4 | Jakir Patel | batter | 91% | 15.9@ 112.7 | 0.0 |
| 5 | JV Chand | all-rounder | 92% | 19.6@ 108.9 | 2.9 |
| 6 | R Lungu | all-rounder | 46% | 9.4@ 63.4 | 3.8 |
| 7 | Shahnawaz Patel | batter | 42% | 10.4@ 101.6 | 0.0 |
| 8 | Javid Patel | all-rounder | 97% | 4.7@ 73.1 | 3.5 |
| 9 | Ayaz Dadabhai | all-rounder | 97% | 9.3@ 108.6 | 3.3 |
| 10 | Zakir Husain Patel | all-rounder | 46% | 15.6@ 147.9 | 2.6 |
| 11 | Soyeb Pendi | all-rounder | 74% | 4.4@ 114.8 | 3.5 |
| 12 | M Yambayamba | batter | 55% | 1.8@ 54.2 | 0.0 |
| 13 | Aslam Bera | all-rounder | 49% | 0.5@ 22.3 | 3.1 |
Pitch & ground
Nigeria Cricket Federation Oval 2, Abuja, Nigeria
Nigeria Cricket Federation Oval 2 · T20
- Average 1st innings
- 109.8
- Average 2nd innings
- 68.2
- Runs per over
- 6.09
- Boundary balls
- 1083%
- Pace economy
- 6.20
- Spin economy
- 5.91
- Powerplay RPO
- 6.47
- Death RPO
- 6.88
- Chasing wins
- 4000%
- Batting first wins
- 6000%
- Matches counted
- 5
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
- · 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
1st n Overs
| Zambia Runs in First 12 | 69 | 71 | — | — | — |
Batsmans Runs (One Day)
| Robert Lungu Runs | 17 | 20 | — | — | — |
Cricket Runs In Over
| Zambia Runs in Over 11 | 5.2 | 5.7 | — | — | — |
Fall Of Next Wicket
| Fall of 6th Zambia Wicket | 73 | 76 | — | — | — |
Innings Runs (T20)
| Zambia Innings Runs | 99 | 100 | — | — | — |
Match Result
| Mozambique to win match | 51.5 | 59.2 | — | — | — |
| Zambia to win match | 40.9 | 48.6 | — | — | — |
Supremacy
| Zambia/Mozambique | -4 | 4 | — | — | — |
| Mozambique/Zambia | 13 | 21 | — | — | — |
More T20 spread markets across every priced match.
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.