Prediction Audit: Arouca vs Tondela Prediction, Odds & AI Betting Tips

May 16, 2026 - 17:00
3 1.37
1 0.98
xG Accuracy: 64%

AI correctly predicted the Arouca win.

The match finished 3–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade F

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

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Arouca Arouca ✔ Correct
  • Correct Score Insights 1-0, 1-1, 0-0, 0-1, 2-0 3-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Tondela higher than the statistical model.

Largest probability gap: Tondela -17.0 pp

Outcome Model Closing Market Difference Signal
Arouca 44.1% 30.6% +13.6 pp Model Edge
Draw 30.7% 27.2% +3.5 pp Aligned
Tondela 25.2% 42.2% -17.0 pp Market Higher

The closing market estimates Tondela's win probability at 42.2%, compared with the model's estimate of 25.2%, a difference of 17.0 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 (Arouca win 3–1).

Market Assessment

The market is materially more optimistic about Tondela 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

  • Arouca attacking xG significantly stronger (1.37 vs 0.98)

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Arouca higher (61.1% vs model 44.1%, 17.0 pp), but the model's lean was validated (Arouca win 3–1).

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Prediction Timeline

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

  1. May 17, 2026 · 15:59 UTC Forecast generated
    • Model 1X2 · Arouca 44.1% · Draw 30.7% · Tondela 25.2%
    • xG · Arouca 1.37 — Tondela 0.98
  2. May 17, 2026 · 15:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Arouca 3.15 · Draw 3.54 · Tondela 2.28
    • Implied 1X2 · Arouca 30.6% · Draw 27.2% · Tondela 42.2%
    • Bookmaker · Pinnacle
  3. May 17, 2026 · 15:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Arouca 3.15 · Draw 3.54 · Tondela 2.28
    • Implied 1X2 · Arouca 30.6% · Draw 27.2% · Tondela 42.2%
    • Bookmaker · Pinnacle
  4. May 16, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Arouca win · 3–1
  6. FT Prediction validated Directional lean matched full-time result
  7. 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 54/100 · Moderate
  • Validation: Warning
  • Large market gap (17 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 4/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 25, 2026 · 01:42 UTC Snapshot ID: dp-1666392

Closing Odds 2.28
AI Fair Odds 2.27
CLV Pending
Final Result Arouca win · Arouca 3–1 Tondela
Prediction ✔ Correct
Decision Grade F

Probability Calibration

  • Expected: 44.1%
  • Historical Bucket: 40–45% — Actual 0.0% (n=2)

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

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

  • League: Primeira Liga
  • Fixture: Arouca vs Tondela
  • Kickoff: 2026-05-17 16:00:00
  • 1X2 (model): Home 44.1% · Draw 30.7% · Away 25.2%
  • xG (showing): Arouca 1.37 — Tondela 0.98 (total xG ≈ 2.35)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 58.3% · Implied: 48.3% · Probability edge: +10.0 pts · Est. EV: +17.2%
  • BTTS (model): Yes 48.3% · No 51.7%
  • Correct score (top bin): 1-0 (13.1%)

Totals and BTTS are evaluated against current market prices where available.

1X2 can look balanced even when side markets show clearer structure.

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

October 03, 2026 (UTC)

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Primeira Liga Primeira Liga — Standings
# TEAM MP W D L PTS
1 FC Porto 34 28 4 2 88
2 Sporting CP 34 25 7 2 82
3 Benfica 34 23 11 0 80
4 SC Braga 34 16 11 7 59
5 Famalicao 34 15 11 8 56
6 GIL Vicente 34 13 11 10 50
7 Moreirense 34 12 7 15 43
8 Arouca 34 12 6 16 42
9 Guimaraes 34 12 6 16 42
10 Estoril 34 10 9 15 39
11 Alverca 34 10 9 15 39
12 Rio Ave 34 8 12 14 36
13 Santa Clara 34 9 9 16 36
14 Nacional 34 9 7 18 34
15 Estrela 34 6 12 16 30
16 Casa Pia 34 6 12 16 30
17 Tondela 34 6 10 18 28
18 AVS 34 3 12 19 21
# TEAM MP GS GC +/- PTS
1 Sporting CP 34 89 24 +65 82
2 Benfica 34 74 25 +49 80
3 FC Porto 34 66 18 +48 88
4 SC Braga 34 64 36 +28 59
5 Estoril 34 54 57 -3 39
6 GIL Vicente 34 47 38 +9 50
7 Arouca 34 47 64 -17 42
8 Famalicao 34 42 29 +13 56
9 Guimaraes 34 39 51 -12 42
10 Estrela 34 38 56 -18 30
11 Nacional 34 37 45 -8 34
12 Moreirense 34 37 49 -12 43
13 Alverca 34 35 52 -17 39
14 Rio Ave 34 35 57 -22 36
15 Santa Clara 34 32 41 -9 36
16 Casa Pia 34 31 57 -26 30
17 Tondela 34 27 55 -28 28
18 AVS 34 27 67 -40 21
# TEAM MP xG xGC +/- PTS
1 Sporting CP 34 69.0 23.9 +45.1 82
2 Benfica 34 68.4 27.3 +41.1 80
3 FC Porto 34 62.1 22.5 +39.6 88
4 SC Braga 34 57.3 37.3 +20.0 59
5 Famalicao 34 45.6 33.7 +11.9 56
6 GIL Vicente 34 44.9 36.8 +8.1 50
7 Santa Clara 34 36.4 35.2 +1.2 36
8 Alverca 34 40.5 40.1 +0.4 39
9 Guimaraes 34 39.3 45.4 -6.1 42
10 Tondela 34 36.6 48.7 -12.1 28
11 Estoril 34 42.8 55.2 -12.4 39
12 Nacional 34 37.9 50.6 -12.7 34
13 Estrela 34 40.7 53.6 -12.9 30
14 Rio Ave 34 34.2 52.3 -18.1 36
15 Arouca 34 30.8 49.4 -18.6 42
16 Moreirense 34 31.3 51.7 -20.4 43
17 Casa Pia 34 31.6 54.8 -23.2 30
18 AVS 34 31.9 62.6 -30.7 21