Prediction Audit: Atalanta vs Bologna Prediction, Odds & AI Betting Tips

Atalanta

Aug 31, 2026 - 18:45

1 0.99

0 1.29

xG Accuracy: 70%

Bologna

AI correctly predicted the Atalanta win.

The match finished 1–0, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

Each row compares the pre-match model lean to the full-time result.

Market Prediction Result Outcome
Over / Under 2.5 Under 2.5 Under 2.5 (1 goals) ✔ Correct
Both Teams To Score BTTS No No ✔ Correct
1X2 Atalanta Atalanta ✔ Correct
Correct Score Insights 0-1, 1-1, 0-0, 1-0, 0-2 1-0 ✔ Correct

Model vs Closing Market

Outcome	Model	Closing Market	Difference	Signal
Atalanta	36.6%	52.0%	-15.3 pp	Market Higher
Draw	30.2%	25.8%	+4.4 pp	Aligned
Bologna	33.2%	22.3%	+10.9 pp	Model Edge

The closing market estimates Atalanta's win probability at 52.0%, compared with the model's estimate of 36.6%, a difference of 15.3 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the model's directional lean matched the result (Atalanta win 1–0).

Market Assessment

The market is materially more optimistic about Atalanta than the current fair estimate.

Investors may be incorporating information not fully reflected in the baseline model.
Tournament-specific context can shift market pricing.

Post Match Insights

What worked

Both Teams To Score (No) matched the full-time result
Under 2.5 goals aligned with the xG profile
Exact score 1–0 fell within the model's highlighted bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Atalanta higher (51.9% vs model 36.6%, 15.3 pp), but the model's lean was validated (Atalanta win 1–0).

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

How this prediction moved from forecast to full-time review.

Aug 31, 2026 · 19:22 UTC Forecast generated
- Model 1X2 · Atalanta 36.6% · Draw 30.1% · Bologna 33.2%
- xG · Atalanta 0.99 — Bologna 1.29
Aug 31, 2026 · 18:14 UTC Opening odds snapshot PRE30
- 1X2 odds · Atalanta 1.95 · Draw 3.66 · Bologna 4.10
- Implied 1X2 · Atalanta 49.8% · Draw 26.5% · Bologna 23.7%
- Bookmaker · Pinnacle
Aug 31, 2026 · 18:44 UTC Closing snapshot recorded PRE1
- 1X2 odds · Atalanta 1.87 · Draw 3.77 · Bologna 4.36
- Implied 1X2 · Atalanta 52.0% · Draw 25.8% · Bologna 22.3%
- Bookmaker · Pinnacle
Aug 31, 2026 · 18:45 UTC Kickoff
FT Full-time result Atalanta win · 1–0
FT Prediction validated Directional lean matched full-time result
Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor

Historical Decision Monitor

Outcome Validated

Pre-match metrics (historical context)

Prediction Reliability 55/100 · Moderate

Validation: Warning
Large market gap (15 pp)

Evidence ★★★★★

No strong statistical edge
Pricing remains divergent
Validation warning

Pricing proximity (inverse gap) 23/100

Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 25, 2026 · 03:30 UTC Snapshot ID: dp-5404952

Closing Odds 1.87

AI Fair Odds —

CLV Pending

Final Result Atalanta win · Atalanta 1–0 Bologna

Prediction ✔ Correct

Decision Grade A

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?: This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?: xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?: Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?: Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

League: Serie A
Fixture: Atalanta vs Bologna
Kickoff: 2026-08-31 18:45:00
1X2 (model): Home 36.6% · Draw 30.1% · Away 33.2%
xG (showing): Atalanta 0.99 — Bologna 1.29 (total xG ≈ 2.28)
Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 60.1% · Over 2.5 39.9%); BTTS No (Yes 47.2% · No 52.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
BTTS (model): Yes 47.2% · No 52.8%
Correct score (top bin): 0-1 (13.2%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Monitor

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

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%).

Last Updated

September 29, 2026 (UTC)

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Serie A — Standings

#	TEAM	MP	W	D	L	PTS
1	AS Roma	5	4	1	0	13
2	Inter	5	4	1	0	13
3	Lazio	5	4	1	0	13
4	Cagliari	5	4	0	1	12
5	AC Milan	5	3	2	0	11
6	Frosinone	5	3	1	1	10
7	Juventus	5	3	1	1	10
8	Como	5	3	1	1	10
9	Napoli	5	2	1	2	7
10	Sassuolo	5	2	1	2	7
11	Atalanta	5	2	0	3	6
12	Lecce	5	2	0	3	6
13	Udinese	5	1	1	3	4
14	Torino	5	1	1	3	4
15	Parma	5	1	1	3	4
16	Monza	5	1	1	3	4
17	Fiorentina	5	1	1	3	4
18	Bologna	5	0	2	3	2
19	Genoa	5	0	1	4	1
20	Venezia	5	0	0	5	0

#	TEAM	MP	GS	GC	+/-	PTS
1	Inter	5	15	8	+7	13
2	AS Roma	5	14	3	+11	13
3	AC Milan	5	10	4	+6	11
4	Frosinone	5	9	4	+5	10
5	Como	5	9	6	+3	10
6	Sassuolo	5	9	9	0	7
7	Lazio	5	8	3	+5	13
8	Juventus	5	8	4	+4	10
9	Udinese	5	8	11	-3	4
10	Monza	5	8	12	-4	4
11	Napoli	5	7	6	+1	7
12	Fiorentina	5	6	12	-6	4
13	Cagliari	5	5	2	+3	12
14	Atalanta	5	5	7	-2	6
15	Torino	5	5	8	-3	4
16	Lecce	5	5	10	-5	6
17	Parma	5	4	7	-3	4
18	Venezia	5	4	13	-9	0
19	Bologna	5	3	6	-3	2
20	Genoa	5	3	10	-7	1

#	TEAM	MP	xG	xGC	+/-	PTS
1	Inter	5	10.3	4.3	+6.0	13
2	AS Roma	5	9.7	4.2	+5.5	13
3	Juventus	5	6.0	2.2	+3.8	10
4	Monza	5	8.8	5.3	+3.5	4
5	AC Milan	5	6.8	4.0	+2.8	11
6	Napoli	5	5.4	2.9	+2.5	7
7	Sassuolo	5	7.9	6.2	+1.7	7
8	Lazio	5	7.6	6.1	+1.5	13
9	Como	5	8.0	6.7	+1.3	10
10	Bologna	5	5.8	5.0	+0.8	2
11	Fiorentina	5	6.5	6.0	+0.5	4
12	Genoa	5	3.9	4.7	-0.8	1
13	Torino	5	3.8	5.2	-1.4	4
14	Udinese	5	6.7	9.2	-2.5	4
15	Frosinone	5	7.4	10.1	-2.7	10
16	Cagliari	5	5.2	8.2	-3.0	12
17	Venezia	5	7.7	11.2	-3.5	0
18	Atalanta	5	2.7	6.5	-3.8	6
19	Parma	5	3.2	8.3	-5.1	4
20	Lecce	5	4.7	11.8	-7.1	6