Predictions / Football / World. Africa Cup of Nations U20 / Tunisia U20 vs Morocco U20

Prediction Audit: Tunisia U20 vs Morocco U20 Prediction, Odds & AI Betting Tips

Tunisia U20 Tunisia U20
Sep 27, 2026 - 17:00
0 1.25
0 1.35
xG Accuracy: 49%
Morocco U20 Morocco U20

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

The model had projected Morocco U20 at 37.5%, 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 Morocco U20 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 Morocco U20 higher than the statistical model.

Largest probability gap: Morocco U20 -10.2 pp

Outcome Model Closing Market Difference Signal
Tunisia U20 32.9% 23.9% +8.9 pp Model Higher
Draw 29.6% 28.3% +1.3 pp Aligned
Morocco U20 37.5% 47.8% -10.2 pp Market Higher

The closing market estimates Morocco U20's win probability at 47.8%, compared with the model's estimate of 37.5%, a difference of 10.2 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 Morocco U20 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 Morocco U20 by 10.2 percentage points (47.8% vs model 37.5%) — 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. Sep 27, 2026 · 17:00 UTC Forecast generated
    • Model 1X2 · Tunisia U20 32.9% · Draw 29.6% · Morocco U20 37.6%
    • xG · Tunisia U20 1.25 — Morocco U20 1.35
  2. Sep 27, 2026 · 12:45 UTC Opening odds snapshot PRE30
    • 1X2 odds · Tunisia U20 3.60 · Draw 3.50 · Morocco U20 1.80
    • Implied 1X2 · Tunisia U20 24.8% · Draw 25.5% · Morocco U20 49.6%
    • Bookmaker · Bet365
  3. Sep 27, 2026 · 17:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Tunisia U20 3.78 · Draw 3.19 · Morocco U20 1.89
    • Implied 1X2 · Tunisia U20 23.9% · Draw 28.3% · Morocco U20 47.8%
    • Bookmaker · Pinnacle
  4. Sep 27, 2026 · 17:00 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 58/100 · Moderate
  • Validation: Warning
  • Large market gap (10 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 48/100
Betting Confidence 46/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 25, 2026 · 00:32 UTC Snapshot ID: dp-10747471

Closing Odds 1.89
AI Fair Odds —
CLV Pending
Final Result Draw · Tunisia U20 0–0 Morocco U20
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

Pre-match snapshot for this fixture.

  • League: Africa Cup of Nations U20
  • Fixture: Tunisia U20 vs Morocco U20
  • Kickoff: 2026-09-27 17:00:00
  • 1X2 (model): Home 32.9% · Draw 29.6% · Away 37.6%
  • xG (showing): Tunisia U20 1.25 — Morocco U20 1.35 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 54.5% · Implied: 50.0% · Probability edge: +4.5 pts · Est. EV: +2.5%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

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

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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