Burnley vs Wolves Prediction, Odds & AI Betting Tips

Burnley

May 24, 2026 - 15:00

1.11

1.14

33% 32% 35%

Wolves

Betting Primary Pick (highest +EV)

Under 2.5 — Value

EV 35.2% Model 60.9%

Secondary (balanced value): BTTS No (EV 25.4%) — 52.7% Model

Lower EV than primary, but with higher model probability (more “stable” when shown).

Both Teams To Score Best value (+EV)

Yes 47.3% · No 52.7%

EV Yes -23.37% · EV No 25.43%

Value lean: BTTS No

1X2 Pass

Wolves · Model 34.6%

implied 33.2%

EV: -3.6%

Best line EV (1X2) -0.3%

Correct Score Insights Longshot / fun

Most Likely

1-1

Probability 13.3%

Correct score is high-variance — small stakes for fun only.

Betting decision (model vs. market EV)

Value opportunity — At least one market shows estimated +EV at current best decimal odds (threshold: 2.0%).

Decision strength: 6.0 / 10

Primary line identified (+1.0)
Primary EV above 10% (+1.0)
Max 1X2 prob under 50% (no dominant 1X2) (−1.0)
Draw probability above 30% (−0.5)
Two or more valid +EV lines at threshold (+0.5)

O/U 2.5: EV Over -30.79% · EV Under 35.2% (12 book pairs)
BTTS: EV Yes -23.37% · EV No 25.43%

Should you bet on this match? Only where +EV is shown; always compare with your own limits.

OddsGPT Decision Engine v2.1.0(EV + Market Structure + Risk Adjustment) Check Odds at 1xBet

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

League: Premier League
Fixture: Burnley vs Wolves
Kickoff: 2026-05-24 15:00:00
1X2 (model): Home 33.1% · Draw 32.3% · Away 34.6%
xG (showing): Burnley 1.11 — Wolves 1.14 (total xG ≈ 2.25)
Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
Model: 60.9% · Implied: 45.2% · Probability edge: +15.7 pts · Est. EV: +32.8%
BTTS (model): Yes 47.3% · No 52.7%
Correct score (top bin): 1-1 (13.3%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

Best Bet + Reason

Primary pick from the decision engine: Under 2.5 goals.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

No pick is a guarantee; variance is especially large in scoreline markets.

FAQ

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

Risk Factors

Price movement: implied probabilities and EV move with odds.
Sample / data gaps: low-information leagues widen forecast bands.
In-play state: goals and red cards are not modelled here.
Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Methodology

Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
Compliance: Educational framing only; not personalised advice.

Last Updated

May 22, 2026 (UTC)

How to use this

Focus on the Primary line when you want one actionable idea.
Do not parlay many thin-edge picks together; edges do not add reliably.
Treat longshots as optional, high-stake-sizing plays only.

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Premier League — Standings

#	TEAM	MP	W	D	L	PTS
1	Arsenal	37	25	7	5	82
2	Manchester City	37	23	9	5	78
3	Manchester United	37	19	11	7	68
4	Aston Villa	37	18	8	11	62
5	Liverpool	37	17	8	12	59
6	Bournemouth	37	13	17	7	56
7	Brighton	37	14	11	12	53
8	Chelsea	37	14	10	13	52
9	Brentford	37	14	10	13	52
10	Sunderland	37	13	12	12	51
11	Newcastle	37	14	7	16	49
12	Everton	37	13	10	14	49
13	Fulham	37	14	7	16	49
14	Leeds	37	11	14	12	47
15	Crystal Palace	37	11	12	14	45
16	Nottingham Forest	37	11	10	16	43
17	Tottenham	37	9	11	17	38
18	West Ham	37	9	9	19	36
19	Burnley	37	4	9	24	21
20	Wolves	37	3	10	24	19

#	TEAM	MP	GS	GC	+/-	PTS
1	Manchester City	37	76	33	+43	78
2	Arsenal	37	69	26	+43	82
3	Manchester United	37	66	50	+16	68
4	Liverpool	37	62	52	+10	59
5	Chelsea	37	57	50	+7	52
6	Bournemouth	37	57	53	+4	56
7	Aston Villa	37	54	48	+6	62
8	Brentford	37	54	51	+3	52
9	Newcastle	37	53	53	0	49
10	Brighton	37	52	43	+9	53
11	Leeds	37	49	53	-4	47
12	Everton	37	47	49	-2	49
13	Nottingham Forest	37	47	50	-3	43
14	Tottenham	37	47	57	-10	38
15	Fulham	37	45	51	-6	49
16	West Ham	37	43	65	-22	36
17	Sunderland	37	40	47	-7	51
18	Crystal Palace	37	40	49	-9	45
19	Burnley	37	37	74	-37	21
20	Wolves	37	26	67	-41	19

#	TEAM	MP	xG	xGC	+/-	PTS
1	Arsenal	37	62.1	27.7	+34.4	82
2	Manchester City	37	67.5	41.0	+26.5	78
3	Manchester United	37	62.8	47.7	+15.1	68
4	Chelsea	37	62.6	50.0	+12.6	52
5	Liverpool	37	57.2	45.7	+11.5	59
6	Crystal Palace	37	56.5	47.8	+8.7	45
7	Brighton	37	56.5	48.1	+8.4	53
8	Newcastle	37	56.9	49.8	+7.1	49
9	Brentford	37	58.1	51.4	+6.7	52
10	Bournemouth	37	61.5	54.9	+6.6	56
11	Leeds	37	52.8	52.4	+0.4	47
12	Fulham	37	46.2	51.9	-5.7	49
13	Aston Villa	37	46.0	53.0	-7.0	62
14	Everton	37	45.5	54.9	-9.4	49
15	Nottingham Forest	37	44.4	55.3	-10.9	43
16	Tottenham	37	39.8	51.9	-12.1	38
17	West Ham	37	42.5	55.2	-12.7	36
18	Sunderland	37	37.2	52.5	-15.3	51
19	Wolves	37	33.5	57.0	-23.5	19
20	Burnley	37	31.2	72.9	-41.7	21