Predictions / Football / World. CONMEBOL Sudamericana / Vasco DA Gama vs Olimpia

Prediction Audit: Vasco DA Gama vs Olimpia Prediction, Odds & AI Betting Tips

Aug 13, 2026 - 22:00
0 1.36
0 1.36
xG Accuracy: 47%

The model missed the final outcome (Draw 0–0).

The model had projected Vasco DA Gama at 35.6%, but the full-time result went the other way.

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 Over 2.5 Under 2.5 (0 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Vasco DA Gama Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Vasco DA Gama higher than the statistical model.

Largest probability gap: Vasco DA Gama -18.0 pp

Outcome Model Closing Market Difference Signal
Vasco DA Gama 35.6% 53.6% -18.0 pp Market Higher
Draw 28.9% 28.6% +0.2 pp Aligned
Olimpia 35.6% 17.8% +17.8 pp Model Edge

The closing market estimates Vasco DA Gama's win probability at 53.6%, compared with the model's estimate of 35.6%, a difference of 18.0 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 result was Draw 0–0.

Market Assessment

The market is materially more optimistic about Vasco DA Gama 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 failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (0 goals)

Market lesson

The closing market differed from the model on Vasco DA Gama by 18.0 percentage points (53.6% vs model 35.6%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Aug 13, 2026 · 21:59 UTC Forecast generated
    • Model 1X2 · Vasco DA Gama 35.6% · Draw 28.9% · Olimpia 35.6%
    • xG · Vasco DA Gama 1.36 — Olimpia 1.36
  2. Aug 13, 2026 · 21:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Vasco DA Gama 1.77 · Draw 3.34 · Olimpia 5.31
    • Implied 1X2 · Vasco DA Gama 53.7% · Draw 28.4% · Olimpia 17.9%
    • Bookmaker · Pinnacle
  3. Aug 13, 2026 · 21:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Vasco DA Gama 1.77 · Draw 3.31 · Olimpia 5.34
    • Implied 1X2 · Vasco DA Gama 53.6% · Draw 28.6% · Olimpia 17.8%
    • Bookmaker · Pinnacle
  4. Aug 13, 2026 · 22:00 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  6. FT Prediction missed 1X2 lean did not match 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 Missed
Pre-match metrics (historical context)
Prediction Reliability 54/100 · Moderate
  • Validation: Warning
  • Large market gap (18 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 9/100
Betting Confidence 43/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 07, 2026 · 01:57 UTC Snapshot ID: dp-3153939

Closing Odds 1.77
AI Fair Odds —
CLV Pending
Final Result Draw · Vasco DA Gama 0–0 Olimpia
Prediction ✖ Missed
Decision Grade F

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: CONMEBOL Sudamericana
  • Fixture: Vasco DA Gama vs Olimpia
  • Kickoff: 2026-08-13 22:00:00
  • 1X2 (model): Home 35.6% · Draw 28.9% · Away 35.6%
  • xG (showing): Vasco DA Gama 1.36 — Olimpia 1.36 (total xG ≈ 2.72)
  • 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 Over 2.5 (Under 2.5 48.9% · Over 2.5 51.1%); BTTS Yes (Yes 56.8% · No 43.2%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 56.8% · No 43.2%
  • Correct score (top bin): 1-1 (12.2%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Monitor

Outcome: Missed — Pre-match 1X2 lean did not match 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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CONMEBOL Sudamericana CONMEBOL Sudamericana — Standings
# TEAM MP W D L PTS
1 Macara 6 2 4 0 10
2 Tigre 6 2 3 1 9
3 America de Cali 6 2 3 1 9
4 Alianza Atletico 6 0 2 4 2
# TEAM MP GS GC +/- PTS
1 Tigre 6 8 5 +3 9
2 Macara 6 6 3 +3 10
3 America de Cali 6 6 5 +1 9
4 Alianza Atletico 6 2 9 -7 2
# TEAM MP xG xGC +/- PTS
1 Tigre 6 4.1 3.0 +1.1 9
2 Macara 6 1.2 1.6 -0.4 10
3 America de Cali 6 — — — 9
4 Alianza Atletico 6 — — — 2