Bangladesh vs India Prediction, Odds & Statistics

Our Poisson-based model projects 1.12 expected goals for Bangladesh and 0.90 for India, a combined total of 2.03. That distribution gives Bangladesh the largest share of the 1X2 market at 41%, with the draw at 30%. Goals markets follow the same shape: 33% for over 2.5 goals and 40% for both teams to score, with 1–0 the single most likely scoreline at 15%. Probabilities are statistical estimates and carry meaningful uncertainty — a 41% favourite still loses or draws a large share of the time.

This match has finished. The figures below are the model's estimate for the fixture, kept on the page for reference and study — they are not a betting tip, and nothing here has been edited after the final whistle.

Model pick

Home/Draw

70.9% probability

High confidenceLow data42/100

Expected goals

1.12 – 0.90

Model version

poisson-v2

Cold start: only league-table or short-form data was available for these teams.

Probabilities are statistical estimates, not guarantees.

Why the model likes this

Each point below is derived from this fixture's own data — recent results, home and away splits, scoring and defensive rates and head-to-head history where it exists. Points only appear when the underlying data supports them.

India away threat
Scored in 3 of their last 5 away fixtures.
Most likely outcome
The model rates Bangladesh to win the strongest 1X2 selection at 41%, against 41% / 30% / 29% for home, draw and away.
Expected goals balance
Projected 1.12 goals for Bangladesh and 0.90 for India, a combined 2.03 — a tighter, lower-scoring profile.
Goals markets
Over 2.5 goals lands at 33% and both teams to score at 40%, with 1–0 the single most likely scoreline at 15%.

Match result (1X2)

Bangladesh win41%

Draw30%

India win29%

Double chance 1X

71%

Double chance 12

70%

Double chance X2

59%

Goals markets

Over 1.5 goals60%

Over 2.5 goals33%

Over 3.5 goals15%

Both teams to score40%

Correct score

1–014.8%
1–113.4%
0–013.2%
0–111.9%
2–08.3%

Recent form

Bangladesh

India

2026-06-09T15:00:00.000Z · A vs Tajikistan · 1-1 (D)
2026-06-05T15:00:00.000Z · A vs Tajikistan · 1-3 (L)
2026-05-30T13:30:00.000Z · H vs Zimbabwe · 0-1 (L)
2026-05-27T18:30:00.000Z · A vs Jamaica · 0-2 (L)
2026-03-31T13:30:00.000Z · H vs Hong Kong · 2-1 (W)

Head-to-head

Head-to-head history is temporarily unavailable. The prediction is unaffected — it is built from current form, home and away performance, goals data and competition statistics.

Asian Cup - Qualification table

Full league page →

#	Team	P	W	D	L	GD	Pts
1	Tajikistan	6	4	2	0	11	14
2	Philippines	6	4	2	0	10	14
3	Maldives	6	1	0	5	-10	3
4	Timor-Leste	6	1	0	5	-11	3
1	Yemen	6	4	2	0	19	14
2	Lebanon	6	4	1	1	12	13
3	Bhutan	6	1	1	4	-12	4
4	Brunei	6	1	0	5	-19	3
1	Singapore	6	4	2	0	4	14
2	Hong Kong	6	2	2	2	0	8
3	Bangladesh	6	1	2	3	-2	5
4	India	6	1	2	3	-2	5
1	Thailand	6	5	0	1	11	15
2	Turkmenistan	6	4	0	2	4	12
3	Sri Lanka	6	3	0	3	-1	9
4	Chinese Taipei	6	0	0	6	-14	0
1	Syria	6	6	0	0	19	18
2	Myanmar	6	4	0	2	-3	12
3	Afghanistan	6	0	2	4	-7	2
4	Pakistan	6	0	2	4	-9	2
1	Vietnam	6	6	0	0	15	18
2	Malaysia	6	3	0	3	0	9
3	Laos	6	2	0	4	-12	6
4	Nepal	6	1	0	5	-3	3

Prediction conclusion

The model's leading selection is Home/Draw, at 70.9%. Its single most likely scoreline is 1–0.

It puts both teams scoring at 40% and over 2.5 goals at 33%.

A 71% selection is expected to miss in the remaining share of matches, and football regularly produces red cards, injuries and tactical changes the data cannot see. Treat this as a probability, not a forecast of the result.

Methodology Results Log

Predictions are statistical estimates generated from historical and current team data. They are provided for information and entertainment only and are not betting advice. 18+ only.