The model missed the final outcome (Draw 0–0).
The model had projected USM Alger at 42.4%, but the full-time result went the other way.
Tracked markets vs full-time result
Prediction grade
C
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 (0 goals) ✔ Correct
- Both Teams To Score BTTS No No ✔ Correct
- 1X2 USM Alger Draw ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-0, 0-0, 1-2 0-0 ✔ Correct
Post Match Insights
What worked
- Both Teams To Score (No) matched the full-time result
- Under 2.5 goals aligned with the xG profile
- Exact score 0–0 fell within the model's highlighted bins
What failed
- 1X2: model leaned USM Alger; match finished Draw
Market lesson
The full-time result was Draw 0–0, 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.
-
Before kickoff Forecast generated
- xG · Djoliba 1.02 — USM Alger 1.34
-
Feb 01, 2026 · 16:00 UTC Kickoff
-
FT Full-time result Draw · 0–0
-
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
Draw · Djoliba 0–0 USM Alger
Prediction
✖ Missed
Decision Grade
C
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.
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CAF Confederation Cup — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | USM Alger | 6 | 4 | 2 | 0 | 14 |
| 2 | Olympique Safi | 6 | 4 | 1 | 1 | 13 |
| 3 | Djoliba | 6 | 1 | 1 | 4 | 4 |
| 4 | San-Pédro | 6 | 1 | 0 | 5 | 3 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | USM Alger | 6 | 9 | 4 | +5 | 14 |
| 2 | San-Pédro | 6 | 8 | 14 | -6 | 3 |
| 3 | Olympique Safi | 6 | 7 | 4 | +3 | 13 |
| 4 | Djoliba | 6 | 5 | 7 | -2 | 4 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | USM Alger | 6 | 0.8 | 0.4 | +0.4 | 14 |
| 2 | Olympique Safi | 6 | 0.4 | 0.8 | -0.4 | 13 |
| 3 | Djoliba | 6 | — | — | — | 4 |
| 4 | San-Pédro | 6 | — | — | — | 3 |
