Predictions / Football / Angola. Girabola / Interclube vs FC Luanda

Prediction Audit: Interclube vs FC Luanda Prediction, Odds & AI Betting Tips

Aug 28, 2026 - 14:30
2 1.35
1 1.25
xG Accuracy: 78%

AI correctly predicted the Interclube win.

The match finished 2–1, 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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Interclube Interclube ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Interclube higher than the statistical model.

Largest probability gap: Interclube -15.7 pp

Outcome Model Closing Market Difference Signal
Interclube 37.5% 53.3% -15.7 pp Market Higher
Draw 29.6% 27.9% +1.7 pp Aligned
FC Luanda 32.9% 18.9% +14.0 pp Model Edge

The closing market estimates Interclube's win probability at 53.3%, compared with the model's estimate of 37.5%, a difference of 15.7 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 (Interclube win 2–1).

Market Assessment

The market is materially more optimistic about Interclube 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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Interclube higher (53.2% vs model 37.5%, 15.7 pp), but the model's lean was validated (Interclube win 2–1).

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Prediction Timeline

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

  1. Aug 28, 2026 · 14:29 UTC Forecast generated
    • Model 1X2 · Interclube 37.6% · Draw 29.6% · FC Luanda 32.9%
    • xG · Interclube 1.35 — FC Luanda 1.25
  2. Aug 28, 2026 · 13:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Interclube 1.67 · Draw 3.19 · FC Luanda 4.72
    • Implied 1X2 · Interclube 53.3% · Draw 27.9% · FC Luanda 18.9%
    • Bookmaker · Pinnacle
  3. Aug 28, 2026 · 14:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Interclube 1.67 · Draw 3.19 · FC Luanda 4.72
    • Implied 1X2 · Interclube 53.3% · Draw 27.9% · FC Luanda 18.9%
    • Bookmaker · Pinnacle
  4. Aug 28, 2026 · 14:30 UTC Kickoff
  5. FT Full-time result Interclube win · 2–1
  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 55/100 · Moderate
  • Validation: Warning
  • Large market gap (16 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 21/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 23, 2026 · 03:31 UTC Snapshot ID: dp-5147534

Closing Odds 1.67
AI Fair Odds —
CLV Pending
Final Result Interclube win · Interclube 2–1 FC Luanda
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

Pre-match snapshot for this fixture.

  • League: Girabola
  • Fixture: Interclube vs FC Luanda
  • Kickoff: 2026-08-28 14:30:00
  • 1X2 (model): Home 37.6% · Draw 29.6% · Away 32.9%
  • xG (showing): Interclube 1.35 — FC Luanda 1.25 (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%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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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Girabola Girabola — Standings
# TEAM MP W D L PTS
1 Wiliete 5 5 0 0 15
2 1º de Agosto 5 4 1 0 13
3 Onze Bravos 5 4 0 1 12
4 Petro de Luanda 4 3 1 0 10
5 Interclube 5 3 0 2 9
6 Desportivo Huíla 5 3 0 2 9
7 1º de Maio 5 2 1 2 7
8 Recreativo do Libolo 5 2 0 3 6
9 Kabuscorp 4 1 2 1 5
10 CD Lunda-Sul 5 1 2 2 5
11 Recreativo da Caála 5 1 1 3 4
12 FC Luanda 5 1 1 3 4
13 São Salvador 5 1 1 3 4
14 Sagrada Esperança 3 1 0 2 3
15 Sporting de Cabinda 5 0 2 3 2
16 Académica do Lobito 5 0 0 5 0
# TEAM MP GS GC +/- PTS
1 Wiliete 5 12 1 +11 15
2 1º de Agosto 5 9 5 +4 13
3 Onze Bravos 5 7 2 +5 12
4 Petro de Luanda 4 6 0 +6 10
5 Interclube 5 6 4 +2 9
6 1º de Maio 5 6 5 +1 7
7 Desportivo Huíla 5 5 4 +1 9
8 Recreativo da Caála 5 5 7 -2 4
9 FC Luanda 5 5 8 -3 4
10 Recreativo do Libolo 5 5 10 -5 6
11 CD Lunda-Sul 5 4 5 -1 5
12 Sagrada Esperança 3 4 6 -2 3
13 Kabuscorp 4 3 3 0 5
14 Sporting de Cabinda 5 3 8 -5 2
15 São Salvador 5 2 5 -3 4
16 Académica do Lobito 5 0 9 -9 0