The model missed the final outcome (Paraguay W win 0–8).
The model had projected Bolivia W at 49.3%, 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 Under 2.5 Over 2.5 (8 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Bolivia W Paraguay W ✖ Incorrect
- Correct Score Insights 1-1, 2-1, 1-0, 2-0, 1-2 0-8 ✖ Incorrect
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.93) — 8 goals materialised
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (8 goals)
Market lesson
The full-time result was Paraguay W win 0–8, which did not match the model's pre-match lean on 1X2.
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Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Jun 05, 2026 · 19:59 UTC Forecast generated
- xG · Bolivia W 1.75 — Paraguay W 1.18
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Jun 05, 2026 · 23:00 UTC Kickoff
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FT Full-time result Paraguay W win · 0–8
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FT Prediction missed 1X2 lean did not match full-time result
-
Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Historical verdict:
Observe
Historical Decision
No Primary Bet
Outcome
Missed
Pre-match metrics (historical context)
Prediction Reliability
57/100
· Moderate
- Validation: Pending
Evidence
★★★★★
- No strong statistical edge
- Market has already priced much of the edge
- Validation pending
Market Compatibility
100/100
Betting Confidence
59/100
Validation Report
Immutable Snapshot
Closing Odds
Pending
AI Fair Odds
—
CLV
Pending
Final Result
Paraguay W win · Bolivia W 0–8 Paraguay W
Prediction
✖ Missed
Decision Grade
F
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.
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| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Colombia W | 8 | 6 | 2 | 0 | 20 |
| 2 | Argentina W | 8 | 5 | 3 | 0 | 18 |
| 3 | Venezuela W | 8 | 3 | 3 | 2 | 12 |
| 4 | Ecuador W | 8 | 3 | 2 | 3 | 11 |
| 5 | Peru W | 8 | 3 | 2 | 3 | 11 |
| 6 | Paraguay W | 8 | 3 | 1 | 4 | 10 |
| 7 | Chile W | 8 | 3 | 1 | 4 | 10 |
| 8 | Uruguay W | 8 | 1 | 3 | 4 | 6 |
| 9 | Bolivia W | 8 | 0 | 1 | 7 | 1 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Venezuela W | 8 | 19 | 6 | +13 | 12 |
| 2 | Argentina W | 8 | 18 | 5 | +13 | 18 |
| 3 | Paraguay W | 8 | 17 | 11 | +6 | 10 |
| 4 | Colombia W | 8 | 16 | 7 | +9 | 20 |
| 5 | Peru W | 8 | 12 | 15 | -3 | 11 |
| 6 | Chile W | 8 | 11 | 9 | +2 | 10 |
| 7 | Ecuador W | 8 | 8 | 6 | +2 | 11 |
| 8 | Uruguay W | 8 | 7 | 11 | -4 | 6 |
| 9 | Bolivia W | 8 | 2 | 40 | -38 | 1 |
