Predictions / Football / Algeria. Ligue 2 / Paradou AC vs Teleghma

Prediction Audit: Paradou AC vs Teleghma Prediction, Odds & AI Betting Tips

Paradou AC Paradou AC
Sep 26, 2026 - 15:00
2 1.35
1 1.25
xG Accuracy: 78%
Teleghma Teleghma

AI correctly predicted the Paradou AC win.

The match finished 2–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Paradou AC Paradou AC ✔ 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 Paradou AC higher than the statistical model.

Largest probability gap: Paradou AC -28.3 pp

Outcome Model Closing Market Difference Signal
Paradou AC 37.5% 65.9% -28.3 pp Market Higher
Draw 29.6% 21.9% +7.7 pp Model Higher
Teleghma 32.9% 12.2% +20.6 pp Model Edge

The closing market estimates Paradou AC's win probability at 65.9%, compared with the model's estimate of 37.5%, a difference of 28.3 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 (Paradou AC win 2–1).

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
  • Over 2.5 goals aligned with the xG profile

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Paradou AC higher (65.8% vs model 37.5%, 28.3 pp), but the model's lean was validated (Paradou AC win 2–1).

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Prediction Timeline

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

  1. Sep 26, 2026 · 15:03 UTC Forecast generated
    • Model 1X2 · Paradou AC 37.6% · Draw 29.6% · Teleghma 32.9%
    • xG · Paradou AC 1.35 — Teleghma 1.25
  2. Sep 26, 2026 · 14:34 UTC Opening odds snapshot PRE30
    • 1X2 odds · Paradou AC 1.35 · Draw 4.06 · Teleghma 7.28
    • Implied 1X2 · Paradou AC 65.9% · Draw 21.9% · Teleghma 12.2%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 15:02 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Paradou AC 1.35 · Draw 4.06 · Teleghma 7.28
    • Implied 1X2 · Paradou AC 65.9% · Draw 21.9% · Teleghma 12.2%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 15:00 UTC Kickoff
  5. FT Full-time result Paradou AC 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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 49/100 · Moderate
  • Validation: Warning
  • Large market gap (28 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 31/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 22, 2026 · 00:43 UTC Snapshot ID: dp-10242711

Closing Odds 1.35
AI Fair Odds —
CLV Pending
Final Result Paradou AC win · Paradou AC 2–1 Teleghma
Prediction ✔ Correct
Decision Grade A

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: Ligue 2
  • Fixture: Paradou AC vs Teleghma
  • Kickoff: 2026-09-26 15:00:00
  • 1X2 (model): Home 37.6% · Draw 29.6% · Away 32.9%
  • xG (showing): Paradou AC 1.35 — Teleghma 1.25 (total xG ≈ 2.6)
  • 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 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 Over 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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

Historical Recommendation

Historical Decision: Wait

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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