Cricket betting

Sri Lanka v England betting tips, prediction & odds

ODI · ODI · Thursday 22 October at 09:00

Odds updated Wed, 21 Oct, 11:00 (UK time) · full refresh every day at 08:00, then hourly

Every number below comes from 9,858 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.

Sri Lanka

Expected XI from selection history

Order	Player	Role	Plays	Form runs	Overs
1	P Nissanka	batter	77%	28.6@ 88.1	0.0
2	WIA Fernando	batter	91%	25.6@ 77.7	0.0
3	BKG Mendis	batter	94%	40.6@ 92.7	0.0
4	S Samarawickrama	batter	60%	21.6@ 87.5	0.0
5	KIC Asalanka	all-rounder	97%	38.3@ 97.4	4.2
6	PHKD Mendis	all-rounder	73%	20.0@ 82.0	2.3
7	J Liyanage	all-rounder	97%	28.4@ 79.7	2.8
8	DN Wellalage	all-rounder	51%	22.5@ 90.4	7.2
9	PWH de Silva	bowler	70%	15.3@ 97.9	6.8
10	M Theekshana	bowler	78%	10.3@ 51.0	7.4
11	E Malinga	bowler	40%	2.4@ 21.2	5.2
12	AM Fernando	bowler	77%	0.6@ 14.8	5.8
13	JDF Vandersay	bowler	35%	5.7@ 109.0	7.8

Last named squad (Sri Lanka v Australia, 2025-02-14): AM Fernando, BKG Mendis, DN Wellalage, E Malinga, J Liyanage, KIC Asalanka, KNM Fernando, M Theekshana, P Nissanka, PHKD Mendis, PWH de Silva

England

Expected XI from selection history

Order	Player	Role	Plays	Form runs	Overs
1	PD Salt	batter	54%	26.9@ 99.6	0.0
2	BM Duckett	batter	89%	41.5@ 106.3	0.0
3	JE Root	all-rounder	72%	58.7@ 96.1	3.1
4	JL Smith	batter	72%	30.5@ 127.4	0.0
5	WG Jacks	all-rounder	74%	27.9@ 111.3	4.0
6	HC Brook	batter	89%	28.8@ 97.9	0.0
7	JG Bethell	all-rounder	76%	45.3@ 115.5	3.5
8	JC Buttler	batter	74%	33.5@ 111.5	0.0
9	LS Livingstone	all-rounder	54%	26.1@ 107.2	5.6
10	BA Carse	bowler	70%	7.0@ 61.1	7.1
11	JC Archer	bowler	61%	17.0@ 138.1	8.0
12	AU Rashid	bowler	97%	7.8@ 77.9	8.0
13	S Mahmood	bowler	53%	2.2@ 52.3	7.8

Last named squad (England v South Africa, 2025-09-07): AU Rashid, BA Carse, BM Duckett, HC Brook, J Overton, JC Archer, JC Buttler, JE Root, JG Bethell, JL Smith, WG Jacks

Pitch & ground

Rawalpindi Cricket Stadium, Rawalpindi, Pakistan

Rawalpindi Cricket Stadium · ODI

Average 1st innings: 286.7
Average 2nd innings: 289.3
Runs per over: 5.90
Boundary balls: 1024%
Pace economy: 5.85
Spin economy: 6.04
Powerplay RPO: 5.62
Death RPO: 7.28
Chasing wins: 10000%
Batting first wins: 0%
Matches counted: 3

Weather at the start

Temperature: 28.7°C
Rain chance: 0%
Cloud cover: 0%
Humidity: 32%
Wind: 8.6 kph
Interruption risk: 0%
Swing conditions: 16%
Dew risk: 0%

Forecast for the ground's coordinates at the scheduled start, taken 21/10/2026, 12:09:37. Swing and dew are read from cloud, humidity and the temperature–dew point gap.

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 Wed, 21 Oct, 11:00 (UK time) · captured hourly from the live market

Match Result


Sri Lanka to win match	25.2	31	51.3	buy	+20.3
England to win match	69	74.8	48.2	sell	+20.8

Supremacy


England/Sri Lanka	30	40	-3.3	sell	+33.3

More ODI 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.

Honest health warning: across 29 replayed ODI matches the model’s match-winner probabilities have not yet beaten a simple coin-flip benchmark, so treat the match-winner comparisons below as work in progress rather than value. Team and player run projections are the better-tested part of the model.


Match winner	Sri Lanka	51.3% (1.95)	3.25	back	+66.7% EVFlagged
Supremacy	England/Sri Lanka	-3.3	30 – 40	sell	+33.3 runs
Match result index	England to win match	48.2	69 – 74.8	sell	+20.8 pts
Match result index	Sri Lanka to win match	51.3	25.2 – 31	buy	+20.3 pts
Match winner	England	48.2% (2.07)	1.33	back	-35.7% 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


Sri Lanka	51.3%	1.95	3.25	29.1%	+66.7%	25.2 – 31	61/100
England	48.2%	2.07	1.33	70.9%	-35.7%	69 – 74.8	55/100

Sri Lanka to win

Why we like it

Projected runs: 248.1 vs 244.9
The simulation gives Sri Lanka a +3.3 run expected margin over England, from 9,858 simulated innings.
Rawalpindi Cricket Stadium · ODI: 0.0% of matches won batting firstLOW sample
Chasing sides have won 100.0% at this ground across 3 recorded matches, which is built into the simulated result.

Risks

Head-to-head: 1-2 in 8 stored ODI meetingsMEDIUM sample
Sri Lanka have won 1 of the 8 completed ODI matches we hold between these sides, the most recent on 22 Oct 2026.
Sri Lanka full record
Model and market disagree too far to trust
Model 51.3% against 29.1% implied by 3.25 with the bookmaker margin stripped out — +66.7% per £1 staked. A gap this size is more likely a data problem than an edge, so it is flagged rather than tipped.
Winner probabilities have not passed backtesting
Across 29 replayed ODI matches the model's log loss is 0.7509 against a 0.6931 coin-flip baseline, so this chance is shown as a comparison, not a tip.

England to win

Why we like it

Head-to-head: 2-1 in 8 stored ODI meetingsMEDIUM sample
England have won 2 of the 8 completed ODI matches we hold between these sides, the most recent on 22 Oct 2026.
England full record
Rawalpindi Cricket Stadium · ODI: 0.0% of matches won batting firstLOW sample
Chasing sides have won 100.0% at this ground across 3 recorded matches, which is built into the simulated result.

Risks

Projected runs: 244.9 vs 248.1
The simulation gives England a -3.3 run expected margin over Sri Lanka, from 9,858 simulated innings.
Model and market disagree too far to trust
Model 48.2% against 70.9% implied by 1.33 with the bookmaker margin stripped out — -35.7% per £1 staked. A gap this size is more likely a data problem than an edge, so it is flagged rather than tipped.
Winner probabilities have not passed backtesting
Across 29 replayed ODI matches the model's log loss is 0.7509 against a 0.6931 coin-flip baseline, so this chance is shown as a comparison, not a tip.

Supremacy spread

England/Sri Lanka

Market 30 – 40 · model expected margin -3.3 runs

Model edge: sell +33.3 runs per £1 a point

Team runs projection

Sri Lanka

Projected 50-over innings total

248

median 241 · 10th–90th percentile 129–381

Wickets lost 5.1

Powerplay runs 60


120+	92.0%
140+	86.8%
160+	80.5%
180+	73.7%
200+	65.9%

confidence 61/100 · data 61/100

England

Projected 50-over innings total

245

median 237 · 10th–90th percentile 124–379

Wickets lost 5.2

Powerplay runs 76


120+	91.2%
140+	85.9%
160+	79.5%
180+	72.1%
200+	64.2%

confidence 55/100 · data 61/100

Sri Lanka runs

Why we like it

248.1 projected vs 286.7 parMEDIUM sample
Rawalpindi Cricket Stadium · ODI averages 286.7 in the first innings over 3 matches; the model has Sri Lanka below that by 38.6 runs.
Middle of the range 241.0, 10th–90th 129–381
Eight innings in ten finish inside that band, with 5.1 wickets lost on average and 60.0 powerplay runs.

Risks

Model has run 3.8 runs high in testing
Measured over 29 replayed ODI matches, average error 62.5 runs.

England runs

Why we like it

244.9 projected vs 286.7 parMEDIUM sample
Rawalpindi Cricket Stadium · ODI averages 286.7 in the first innings over 3 matches; the model has England below that by 41.8 runs.
Middle of the range 237.0, 10th–90th 124–379
Eight innings in ten finish inside that band, with 5.2 wickets lost on average and 75.9 powerplay runs.

Risks

Model has run 3.8 runs high in testing
Measured over 29 replayed ODI matches, average error 62.5 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.


BM Duckett England	51.6	38	126	89.0%	43	65.7%	40.9%	—	—
BKG Mendis Sri Lanka	47.6	26	129	94.0%	44	55.7%	35.6%	—	—
P Nissanka Sri Lanka	39.9	18	117	77.0%	46	48.7%	29.2%	—	—
KIC Asalanka Sri Lanka	39.9	21	108	97.0%	43	51.7%	33.1%	—	—
HC Brook England	30.7	17	85	89.0%	34	46.6%	23.4%	—	—
JE Root England	30.5	10	98	72.0%	45	38.8%	24.6%	—	—
WIA Fernando Sri Lanka	29.6	13	91	91.0%	32	38.9%	19.6%	—	—
J Liyanage Sri Lanka	27.9	14	80	97.0%	44	44.6%	22.2%	—	—
JG Bethell England	24.0	8	72	76.0%	38	38.8%	18.8%	—	—
WG Jacks England	22.9	10	66	74.0%	30	38.2%	16.1%	—	—
PD Salt England	22.8	1	75	54.0%	31	31.0%	15.3%	—	—
S Samarawickrama Sri Lanka	21.9	2	75	60.0%	32	30.5%	16.7%	—	—
JC Buttler England	19.0	1	60	74.0%	31	32.3%	14.1%	—	—
PHKD Mendis Sri Lanka	17.3	3	55	73.0%	36	30.0%	11.7%	—	—
JL Smith England	17.0	7	49	72.0%	18	30.6%	9.8%	—	—
LS Livingstone England	11.1	0	42	54.0%	33	19.8%	7.9%	—	—
PWH de Silva Sri Lanka	9.8	0	35	70.0%	20	17.8%	5.9%	—	—
JC Archer England	8.0	0	32	61.0%	28	16.0%	4.6%	—	—
BA Carse England	7.2	0	26	70.0%	32	14.7%	2.5%	—	—
DN Wellalage Sri Lanka	5.9	0	22	51.0%	23	11.1%	2.7%	—	—
M Theekshana Sri Lanka	5.6	0	20	78.0%	33	10.5%	1.1%	—	—
E Malinga Sri Lanka	3.0	0	10	40.0%	27	5.8%	0.9%	—	—

BM Duckett runs

Why we like it

Expected to face 43 balls at number 2
Opportunity drives the projection: 51.6 runs on average, 126 in the top 10% of simulations.
Recent form 41.5 runs an inningsLOW sample
Weighted over the last 0 innings at a strike rate of 106.3.
Against paceHIGH sample
625 runs off 597 balls in 24 ODI matches — strike rate 104.7 vs 107.8 overall, average 69.4 vs 46.3 overall.
Against spinHIGH sample
384 runs off 318 balls in 16 ODI matches — strike rate 120.8 vs 107.8 overall, average 42.7 vs 46.3 overall.

BKG Mendis runs

Why we like it

Expected to face 44 balls at number 5
Opportunity drives the projection: 47.6 runs on average, 129 in the top 10% of simulations.
Recent form 40.6 runs an inningsLOW sample
Weighted over the last 0 innings at a strike rate of 92.7.
Against spinHIGH sample
821 runs off 897 balls in 35 ODI matches — strike rate 91.5 vs 88.9 overall, average 43.2 vs 37.6 overall.

P Nissanka runs

Why we like it

Expected to face 46 balls at number 1
Opportunity drives the projection: 39.9 runs on average, 117 in the top 10% of simulations.
Recent form 28.6 runs an inningsLOW sample
Weighted over the last 0 innings at a strike rate of 88.1.

Risks

Against EnglandMEDIUM sample
93 runs off 131 balls in 4 ODI matches — strike rate 71.0 vs 85.5 overall, average 31.0 vs 36.4 overall.
Only 77% likely to play
Taken from how often the player has been selected in this team's recent XIs; the projection is already scaled down for it.

KIC Asalanka runs

Why we like it

Expected to face 43 balls at number 7
Opportunity drives the projection: 39.9 runs on average, 108 in the top 10% of simulations.
Recent form 38.3 runs an inningsLOW sample
Weighted over the last 0 innings at a strike rate of 97.4.
Against spinHIGH sample
1051 runs off 1170 balls in 42 ODI matches — strike rate 89.8 vs 90.6 overall, average 55.3 vs 40.3 overall.

Risks

Against paceHIGH sample
892 runs off 974 balls in 51 ODI matches — strike rate 91.6 vs 90.6 overall, average 29.7 vs 40.3 overall.

HC Brook runs

Why we like it

Expected to face 34 balls at number 9
Opportunity drives the projection: 30.7 runs on average, 85 in the top 10% of simulations.
Recent form 28.8 runs an inningsLOW sample
Weighted over the last 0 innings at a strike rate of 97.9.
Against spinHIGH sample
359 runs off 328 balls in 20 ODI matches — strike rate 109.5 vs 100.1 overall, average 35.9 vs 34.8 overall.

JE Root runs

Why we like it

Expected to face 45 balls at number 5
Opportunity drives the projection: 30.5 runs on average, 98 in the top 10% of simulations.
Recent form 58.7 runs an inningsLOW sample
Weighted over the last 0 innings at a strike rate of 96.1.
Against spinHIGH sample
554 runs off 572 balls in 22 ODI matches — strike rate 96.9 vs 90.9 overall, average 69.3 vs 44.7 overall.

Risks

Against Sri LankaMEDIUM sample
150 runs off 184 balls in 3 ODI matches — strike rate 81.5 vs 90.9 overall, too few dismissals for a meaningful average.
Against paceHIGH sample
599 runs off 688 balls in 30 ODI matches — strike rate 87.1 vs 90.9 overall, average 37.4 vs 44.7 overall.
Only 72% likely to play
Taken from how often the player has been selected in this team's recent XIs; the projection is already scaled down for it.

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.