Prediction Audit: Fafe vs Maria da Fonte Prediction, Odds & AI Betting Tips

Fafe

Jul 31, 2026 - 19:00

2 1.32

0 1.28

xG Accuracy: 58%

Maria da Fonte

AI correctly predicted the Fafe win.

The match finished 2–0, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 (2 goals) ✔ Correct
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Fafe Fafe ✔ Correct
Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-0 ✖ Incorrect

Model vs Closing Market

Outcome	Model	Closing Market	Difference	Signal
Fafe	36.1%	57.0%	-20.9 pp	Market Higher
Draw	29.6%	22.4%	+7.3 pp	Model Higher
Maria da Fonte	34.2%	20.7%	+13.6 pp	Model Edge

The closing market estimates Fafe's win probability at 57.0%, compared with the model's estimate of 36.1%, a difference of 20.9 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 (Fafe win 2–0).

Post Match Insights

What worked

Under 2.5 goals aligned with the xG profile

What failed

Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Fafe higher (57.0% vs model 36.1%, 20.9 pp), but the model's lean was validated (Fafe win 2–0).

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Prediction Timeline

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

Jul 31, 2026 · 18:59 UTC Forecast generated
- Model 1X2 · Fafe 36.1% · Draw 29.7% · Maria da Fonte 34.2%
- xG · Fafe 1.32 — Maria da Fonte 1.28
Jul 31, 2026 · 18:31 UTC Opening odds snapshot PRE30
- 1X2 odds · Fafe 1.57 · Draw 4.00 · Maria da Fonte 4.33
- Implied 1X2 · Fafe 57.0% · Draw 22.4% · Maria da Fonte 20.7%
- Bookmaker · Bet365
Jul 31, 2026 · 18:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Fafe 1.57 · Draw 4.00 · Maria da Fonte 4.33
- Implied 1X2 · Fafe 57.0% · Draw 22.4% · Maria da Fonte 20.7%
- Bookmaker · Bet365
Jul 31, 2026 · 19:00 UTC Kickoff
FT Full-time result Fafe win · 2–0
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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait

Outcome Validated

Pre-match metrics (historical context)

Prediction Reliability 53/100 · Moderate

Validation: Warning
Large market gap (21 pp)

Evidence ★★★★★

No strong statistical edge
Pricing remains divergent
Validation warning

Pricing proximity (inverse gap) 0/100

Betting Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 31, 2026 · 01:49 UTC Snapshot ID: dp-2556022

Closing Odds 1.57

AI Fair Odds —

CLV Pending

Final Result Fafe win · Fafe 2–0 Maria da Fonte

Prediction ✔ Correct

Decision Grade B-

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: Friendlies Clubs
Fixture: Fafe vs Maria da Fonte
Kickoff: 2026-07-31 19:00:00
1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
xG (showing): Fafe 1.32 — Maria da Fonte 1.28 (total xG ≈ 2.6)
Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 54.5% · No 45.5%
Correct score (top bin): 1-1 (12.5%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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

Historical Recommendation

Historical Decision: Wait

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 28, 2026 (UTC)

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