Western Australia v New South Wales betting tips, prediction & odds
Australia One Day Cup · LIST_A · Saturday 24 October at 07:00
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.
Western Australia
Expected XI from selection history| Order | Player | Role | Plays | Form runs | Overs |
|---|---|---|---|---|---|
| 1 | S Fanning | batter | 62% | 27.8@ 77.8 | 0.0 |
| 2 | JL Curtis | batter | 63% | 59.2@ 111.4 | 0.0 |
| 3 | CT Bancroft | batter | 73% | 43.4@ 78.8 | 0.0 |
| 4 | DJM Short | all-rounder | 48% | 27.6@ 81.2 | 3.2 |
| 5 | SM Whiteman | batter | 80% | 40.7@ 92.5 | 0.0 |
| 6 | HWR Cartwright | all-rounder | 71% | 30.2@ 100.7 | 3.5 |
| 7 | AJ Turner | all-rounder | 74% | 35.0@ 116.3 | 2.3 |
| 8 | KG Critchell | all-rounder | 34% | 11.6@ 96.9 | 4.6 |
| 9 | AC Agar | all-rounder | 64% | 23.5@ 100.6 | 9.1 |
| 10 | JS Paris | bowler | 37% | 11.4@ 159.2 | 8.8 |
| 11 | BA Jackson | bowler | 66% | 3.4@ 57.2 | 9.3 |
| 12 | M Beardman | bowler | 35% | 3.0@ 42.5 | 7.7 |
| 13 | A Esterhuysen | bowler | 37% | 3.1@ 48.0 | 8.0 |
New South Wales
Expected XI from selection history| Order | Player | Role | Plays | Form runs | Overs |
|---|---|---|---|---|---|
| 1 | JR Philippe | batter | 58% | 30.9@ 113.3 | 0.0 |
| 2 | S Konstas | batter | 60% | 22.8@ 81.9 | 0.0 |
| 3 | KR Patterson | batter | 62% | 71.9@ 99.3 | 0.0 |
| 4 | M Gilkes | batter | 97% | 33.7@ 86.9 | 0.0 |
| 5 | MC Henriques | all-rounder | 70% | 29.1@ 83.0 | 3.2 |
| 6 | J Edwards | all-rounder | 54% | 4.7@ 62.6 | 7.3 |
| 7 | L Shaw | batter | 70% | 25.9@ 102.0 | 0.0 |
| 8 | O Davies | batter | 54% | 12.8@ 77.8 | 1.5 |
| 9 | CJ Green | all-rounder | 91% | 24.3@ 96.4 | 6.6 |
| 10 | BJ Dwarshuis | bowler | 36% | 14.5@ 134.3 | 7.7 |
| 11 | T Sangha | bowler | 78% | 8.7@ 71.9 | 8.2 |
| 12 | LC Hatcher | bowler | 60% | 5.8@ 58.8 | 7.6 |
| 13 | R Hadley | bowler | 48% | 2.3@ 39.0 | 8.3 |
Pitch & ground
W.A.C.A. Ground, Perth, Australia
LIST_A average across all grounds
- Average 1st innings
- 256.4
- Average 2nd innings
- 222.3
- Runs per over
- 5.51
- Boundary balls
- 1005%
- Pace economy
- 5.62
- Spin economy
- 5.37
- Powerplay RPO
- 4.90
- Death RPO
- 7.39
- Chasing wins
- 5286%
- Batting first wins
- 4714%
- Matches counted
- 820
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.
- · 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
1st n Overs
| Western Australia Runs in First 5 | 34 | 37 | — | — | — |
Batsmans Runs (One Day)
| Cameron Bancroft Runs | 35 | 40 | — | — | — |
| Joel Curtis Runs | 39 | 44 | — | — | — |
Cricket Runs In Over
| Western Australia Runs in Over 3 | 6.2 | 6.7 | — | — | — |
Fall Of Next Wicket
| Fall of 1st Western Australia Wicket | 43 | 48 | — | — | — |
Match Result
| Western Australia to win match | 9.7 | 16.4 | — | — | — |
| New South Wales to win match | 83.7 | 90.4 | — | — | — |
Supremacy
| New South Wales/Western Australia | 68 | 76 | — | — | — |
More LIST_A 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.