Pakistan v Sri Lanka betting tips, prediction & odds
Test Match · TEST · Monday 9 November at 04:30
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.
Pakistan
Expected XI from selection history| Order | Player | Role | Plays | Form runs | Overs |
|---|---|---|---|---|---|
| 1 | Azan Awais | batter | 46% | 45.1@ 52.4 | 0.0 |
| 2 | Imam-ul-Haq | batter | 55% | 46.5@ 59.7 | 0.0 |
| 3 | Abdullah Shafique | batter | 61% | 75.3@ 48.4 | 0.0 |
| 4 | Shan Masood | batter | 92% | 59.4@ 53.3 | 0.0 |
| 5 | Babar Azam | batter | 78% | 71.3@ 64.0 | 0.0 |
| 6 | Saud Shakeel | all-rounder | 85% | 52.4@ 58.1 | 1.5 |
| 7 | Mohammad Rizwan | batter | 97% | 47.9@ 57.4 | 0.0 |
| 8 | Agha Salman | bowler | 91% | 46.1@ 57.9 | 14.5 |
| 9 | Khurram Shahzad | bowler | 53% | 16.5@ 61.5 | 27.7 |
| 10 | Mohammad Ali | bowler | 39% | 4.4@ 32.7 | 30.2 |
| 11 | Mohammad Abbas | bowler | 47% | 11.7@ 48.9 | 38.0 |
| 12 | Nauman Ali | bowler | 35% | 10.3@ 30.8 | 40.4 |
| 13 | Sajid Khan | bowler | 46% | 34.4@ 67.6 | 42.3 |
Sri Lanka
Expected XI from selection history| Order | Player | Role | Plays | Form runs | Overs |
|---|---|---|---|---|---|
| 1 | KNM Fernando | batter | 44% | 19.8@ 52.2 | 0.0 |
| 2 | P Nissanka | batter | 52% | 60.4@ 68.2 | 0.0 |
| 3 | LU Igalagamage | batter | 39% | 67.8@ 61.9 | 0.0 |
| 4 | FDM Karunaratne | batter | 54% | 41.7@ 50.5 | 0.7 |
| 5 | LD Chandimal | batter | 91% | 61.6@ 58.6 | 0.0 |
| 6 | AD Mathews | all-rounder | 60% | 58.9@ 46.9 | 2.5 |
| 7 | PHKD Mendis | all-rounder | 93% | 64.5@ 61.4 | 3.8 |
| 8 | BKG Mendis | batter | 79% | 50.0@ 63.3 | 0.0 |
| 9 | DM de Silva | bowler | 97% | 66.5@ 55.2 | 7.4 |
| 10 | GS Dinusha | bowler | 40% | 147.7@ 58.8 | 17.5 |
| 11 | NGRP Jayasuriya | bowler | 89% | 12.1@ 33.6 | 54.1 |
| 12 | CBRLS Kumara | bowler | 58% | 16.4@ 29.4 | 21.0 |
| 13 | AM Fernando | bowler | 89% | 0.9@ 7.3 | 28.2 |
Pitch & ground
The ground has not been confirmed in the price feed for this match.
TEST average across all grounds
- Average 1st innings
- 323.0
- Average 2nd innings
- 305.1
- Runs per over
- 3.38
- Boundary balls
- 673%
- Pace economy
- 3.40
- Spin economy
- 3.38
- Chasing wins
- 3628%
- Batting first wins
- 6372%
- Matches counted
- 298
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
- · This fixture is not in the published schedule we read grounds from, so ground-specific pitch and weather records are not shown.
- · Pitch numbers shown are the format-wide average because this ground has no stored record.
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
Drawn Match (Cricket)
| Draw | 22.2 | 26.7 | — | — | — |
Team Wins Match (Cricket) - Test
| Pakistan | 38.4 | 43.5 | — | — | — |
| Sri Lanka | 32.2 | 37.1 | — | — | — |
Win Index (25-10)
| Pakistan 25:10 | 11.9 | 13.4 | — | — | — |
| Sri Lanka 25:10 | 10.4 | 11.9 | — | — | — |
More TEST 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.