Lecce vs Genoa Prediction, Odds & AI Betting Tips

Lecce

May 24, 2026 - 13:00

1.02

1.31

27% 31% 42%

Genoa

1X2 ✔ Genoa (Value)

Match: 41.5% Genoa; implied 18.9%; EV 9.5%

Primary: Genoa — Value · EV 9.5% · Model 41.5%

Not a dominant outcome (model probability is below 50% on this leg).

⭐ 1X2 Best value (+EV)

Genoa · Model 41.5%

implied 18.9%

EV: 9.5%

Best line EV (1X2) 9.5%

Both Teams To Score Best value (+EV)

Yes 48.4% · No 51.6%

EV Yes 4.06% · EV No -10.73%

Value lean: BTTS Yes

Over / Under 2.5 Poor value

Over 2.5 41.2% · Under 2.5 58.8%

EV Over -0.71% · EV Under -1.8%

Value lean: Over 2.5

Correct Score Insights Longshot / fun

Most Likely

1-1

Probability 13.0%

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: 5.0 / 10

Primary line identified (+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 -0.71% · EV Under -1.8% (12 book pairs)
BTTS: EV Yes 4.06% · EV No -10.73%

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

Quick read on how the model reads this matchup.

League: Serie A
Fixture: Lecce vs Genoa
Kickoff: 2026-05-24 13:00:00
1X2 (model): Home 27.3% · Draw 31.2% · Away 41.5%
xG (showing): Lecce 1.02 — Genoa 1.31 (total xG ≈ 2.33)
Primary / headline line (Betting Primary Pick when shown): Genoa
Model: 41.5% · Implied: 18.9% · Probability edge: +22.6 pts · Est. EV: +9.5%
BTTS (model): Yes 48.4% · No 51.6%
Correct score (top bin): 1-1 (13.0%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

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

Best Bet + Reason

Primary pick from the decision engine: Genoa.

Model probability is compared to implied probability from odds to highlight a probability edge; EV uses the same model probability with the best decimal price tracked.

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

FAQ

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.

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.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

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.

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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Serie A — Standings

#	TEAM	MP	W	D	L	PTS
1	Inter	37	27	5	5	86
2	Napoli	37	22	7	8	73
3	AC Milan	37	20	10	7	70
4	AS Roma	37	22	4	11	70
5	Como	37	19	11	7	68
6	Juventus	37	19	11	7	68
7	Atalanta	37	15	13	9	58
8	Bologna	37	16	7	14	55
9	Lazio	37	13	12	12	51
10	Udinese	37	14	8	15	50
11	Sassuolo	37	14	7	16	49
12	Torino	37	12	8	17	44
13	Parma	37	10	12	15	42
14	Genoa	37	10	11	16	41
15	Fiorentina	37	9	14	14	41
16	Cagliari	37	10	10	17	40
17	Lecce	37	9	8	20	35
18	Cremonese	37	8	10	19	34
19	Hellas Verona	37	3	12	22	21
20	Pisa	37	2	12	23	18

#	TEAM	MP	GS	GC	+/-	PTS
1	Inter	37	86	32	+54	86
2	Como	37	61	28	+33	68
3	Juventus	37	59	32	+27	68
4	AS Roma	37	57	31	+26	70
5	Napoli	37	57	36	+21	73
6	AC Milan	37	52	33	+19	70
7	Atalanta	37	50	35	+15	58
8	Bologna	37	46	43	+3	55
9	Sassuolo	37	46	49	-3	49
10	Udinese	37	45	47	-2	50
11	Torino	37	42	61	-19	44
12	Genoa	37	41	50	-9	41
13	Fiorentina	37	40	49	-9	41
14	Lazio	37	39	39	0	51
15	Cagliari	37	38	52	-14	40
16	Cremonese	37	31	53	-22	34
17	Parma	37	27	46	-19	42
18	Lecce	37	27	50	-23	35
19	Hellas Verona	37	25	59	-34	21
20	Pisa	37	25	69	-44	18

#	TEAM	MP	xG	xGC	+/-	PTS
1	Inter	37	69.7	33.4	+36.3	86
2	Juventus	37	63.6	31.2	+32.4	68
3	Como	37	59.9	32.7	+27.2	68
4	AC Milan	37	57.9	40.5	+17.4	70
5	Atalanta	37	55.9	41.4	+14.5	58
6	AS Roma	37	52.1	38.3	+13.8	70
7	Napoli	37	47.9	36.2	+11.7	73
8	Fiorentina	37	48.9	46.1	+2.8	41
9	Bologna	37	42.6	44.0	-1.4	55
10	Lazio	37	39.8	42.0	-2.2	51
11	Genoa	37	44.3	47.0	-2.7	41
12	Torino	37	44.0	50.7	-6.7	44
13	Udinese	37	41.5	50.4	-8.9	50
14	Hellas Verona	37	34.5	45.3	-10.8	21
15	Sassuolo	37	41.7	54.1	-12.4	49
16	Cagliari	37	34.1	51.6	-17.5	40
17	Pisa	37	38.1	57.8	-19.7	18
18	Cremonese	37	34.0	55.4	-21.4	34
19	Parma	37	31.0	55.6	-24.6	42
20	Lecce	37	29.1	56.6	-27.5	35