Gambia v Lesotho 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.
Gambia
Expected XI from selection history| Order | Player | Role | Plays | Form runs | Overs |
|---|---|---|---|---|---|
| 1 | Muhammed Manga | batter | 87% | 14.0@ 84.1 | 1.3 |
| 2 | Asim Ashraf | all-rounder | 41% | 14.0@ 56.0 | 3.3 |
| 3 | AM Rajpurohit | all-rounder | 41% | 8.7@ 76.6 | 3.6 |
| 4 | Mustapha Suwareh | batter | 85% | 2.2@ 32.5 | 1.5 |
| 5 | A Conteh | all-rounder | 59% | 5.8@ 63.6 | 3.6 |
| 6 | Andre Jarju | all-rounder | 88% | 5.3@ 56.2 | 3.0 |
| 7 | Abubacarr Kuyateh | all-rounder | 92% | 10.8@ 75.6 | 3.1 |
| 8 | Ousman Bah | batter | 86% | 1.1@ 26.1 | 0.0 |
| 9 | Ismaila Tanba | all-rounder | 97% | 10.4@ 130.1 | 2.0 |
| 10 | F Campbell | batter | 82% | 5.6@ 75.0 | 0.0 |
| 11 | ML Bojang | all-rounder | 50% | 6.4@ 100.4 | 3.2 |
| 12 | M Jobarteh | all-rounder | 97% | 1.4@ 64.8 | 2.9 |
| 13 | P Campbell | batter | 40% | 3.8@ 46.9 | 0.0 |
Lesotho
Expected XI from selection history| Order | Player | Role | Plays | Form runs | Overs |
|---|---|---|---|---|---|
| 1 | LM Gabriel | all-rounder | 95% | 8.6@ 65.9 | 2.0 |
| 2 | LJ Leokaoke | all-rounder | 53% | 35.5@ 133.8 | 3.0 |
| 3 | Maaz Khan | all-rounder | 97% | 27.2@ 176.3 | 2.0 |
| 4 | Abraar Khan | all-rounder | 28% | 3.8@ 45.3 | 2.0 |
| 5 | C Tlali | batter | 97% | 9.2@ 82.0 | 0.0 |
| 6 | Waseem Yaqoob | all-rounder | 53% | 9.6@ 59.6 | 3.1 |
| 7 | ME Leoela | all-rounder | 40% | 1.6@ 21.7 | 3.0 |
| 8 | YYM Jakda | all-rounder | 55% | 5.6@ 96.6 | 3.0 |
| 9 | L Monanthane | all-rounder | 70% | 8.2@ 82.6 | 2.5 |
| 10 | TG Thamae | all-rounder | 53% | 13.7@ 134.2 | 3.2 |
| 11 | TD Chaoana | all-rounder | 95% | 4.1@ 77.0 | 3.3 |
| 12 | TA Khetsi | all-rounder | 31% | 2.2@ 67.4 | 2.0 |
| 13 | B Mejaro | all-rounder | 62% | 1.2@ 28.7 | 3.4 |
Pitch & ground
Nigeria Cricket Federation Oval 1, Abuja, Nigeria
Nigeria Cricket Federation Oval 1 · T20
- Average 1st innings
- 128.5
- Average 2nd innings
- 109.1
- Runs per over
- 6.54
- Boundary balls
- 1105%
- Pace economy
- 6.77
- Spin economy
- 6.29
- Powerplay RPO
- 6.17
- Death RPO
- 7.65
- Chasing wins
- 4170%
- Batting first wins
- 5830%
- Matches counted
- 24
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
| Gambia Runs in First 15 | 69 | 72 | — | — | — |
Batsmans Runs (One Day)
| Abubacarr Kuyateh Runs | 22 | 24 | — | — | — |
| Pa Assan Faye Runs | 12 | 14 | — | — | — |
| David Demba Runs | 17 | 19 | — | — | — |
Cricket Runs In Over
| Gambia Runs in Over 13 | 4.4 | 4.8 | — | — | — |
Fall Of Next Wicket
| Fall of 6th Gambia Wicket | 63 | 66 | — | — | — |
Innings Runs (T20)
| Gambia Innings Runs | 87 | 90 | — | — | — |
Match Result
| Gambia to win match | 20.7 | 27.4 | — | — | — |
| Lesotho to win match | 72.7 | 79.4 | — | — | — |
Supremacy
| Lesotho/Gambia | 32 | 40 | — | — | — |
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.