Predictions / Football / Tunisia. Ligue 1 / US Ben Guerdane vs CS Sfaxien

Prediction Audit: US Ben Guerdane vs CS Sfaxien Prediction, Odds & AI Betting Tips

Sep 16, 2026 - 15:00
1 1.13
1 1.47
xG Accuracy: 85%

The model missed the final outcome (Draw 1–1).

The model had projected CS Sfaxien at 43.4%, 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 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 CS Sfaxien Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 1-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The model rates CS Sfaxien considerably stronger than the closing betting market.

Largest probability gap: CS Sfaxien +7.2 pp

Outcome Model Closing Market Difference Signal
US Ben Guerdane 27.5% 27.8% -0.3 pp Aligned
Draw 29.1% 36.0% -6.9 pp Market Higher
CS Sfaxien 43.4% 36.2% +7.2 pp Model Higher

The statistical model estimates CS Sfaxien's win probability at 43.4%, compared with the closing market's implied probability of 36.2%, a difference of 7.2 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 1–1.

Market Assessment

The fair estimate shows a modest edge over current market pricing on CS Sfaxien.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
  • 1X2: model leaned CS Sfaxien; match finished Draw

Market lesson

The closing market differed from the model on CS Sfaxien by 7.2 percentage points (36.2% vs model 43.4%) — 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 16, 2026 · 14:59 UTC Forecast generated
    • Model 1X2 · US Ben Guerdane 27.5% · Draw 29.2% · CS Sfaxien 43.3%
    • xG · US Ben Guerdane 1.13 — CS Sfaxien 1.47
  2. Sep 16, 2026 · 14:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · US Ben Guerdane 3.29 · Draw 2.54 · CS Sfaxien 2.53
    • Implied 1X2 · US Ben Guerdane 27.8% · Draw 36.0% · CS Sfaxien 36.2%
    • Bookmaker · Pinnacle
  3. Sep 16, 2026 · 14:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · US Ben Guerdane 3.29 · Draw 2.54 · CS Sfaxien 2.53
    • Implied 1X2 · US Ben Guerdane 27.8% · Draw 36.0% · CS Sfaxien 36.2%
    • Bookmaker · Pinnacle
  4. Sep 16, 2026 · 15:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 64/100
Betting Confidence 78/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 03:35 UTC Snapshot ID: dp-6160148

Closing Odds 2.53
AI Fair Odds —
CLV Pending
Final Result Draw · US Ben Guerdane 1–1 CS Sfaxien
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: Ligue 1
  • Fixture: US Ben Guerdane vs CS Sfaxien
  • Kickoff: 2026-09-16 15:00:00
  • 1X2 (model): Home 27.5% · Draw 29.2% · Away 43.3%
  • xG (showing): US Ben Guerdane 1.13 — CS Sfaxien 1.47 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Over 2.5 goals
  • Model: 48.2% · Implied: 31.5% · Probability edge: +16.7 pts · Est. EV: +47.5%
  • BTTS (model): Yes 53.7% · No 46.3%
  • Correct score (top bin): 1-1 (12.3%)

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: No Primary Bet

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 30, 2026 (UTC)

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Ligue 1 Ligue 1 — Standings
# TEAM MP W D L PTS
1 Club Africain 3 3 0 0 9
2 ES Tunis 4 3 0 1 9
3 US Ben Guerdane 4 2 2 0 8
4 CS Sfaxien 4 2 2 0 8
5 US Monastirienne 4 2 2 0 8
6 Progrès Sakiet Eddaïer 4 2 2 0 8
7 Jeunesse Sportive Omrane 4 2 1 1 7
8 CA Bizertin 4 2 1 1 7
9 Stade Tunisien 3 1 1 1 4
10 ES Sahel 4 1 1 2 4
11 AS Marsa 4 1 1 2 4
12 ES Zarzis 4 1 0 3 3
13 ES Metlaoui 4 1 0 3 3
14 Olympique Béja 4 0 2 2 2
15 ES Hammam-Sousse 4 0 1 3 1
16 CS Hammam-Lif 4 0 0 4 0
# TEAM MP GS GC +/- PTS
1 US Ben Guerdane 4 7 5 +2 8
2 US Monastirienne 4 7 5 +2 8
3 ES Tunis 4 7 6 +1 9
4 CS Sfaxien 4 6 3 +3 8
5 Jeunesse Sportive Omrane 4 5 4 +1 7
6 Stade Tunisien 3 5 4 +1 4
7 ES Sahel 4 5 6 -1 4
8 Progrès Sakiet Eddaïer 4 4 1 +3 8
9 Club Africain 3 3 0 +3 9
10 CA Bizertin 4 3 3 0 7
11 ES Zarzis 4 3 5 -2 3
12 Olympique Béja 4 3 5 -2 2
13 AS Marsa 4 2 3 -1 4
14 ES Metlaoui 4 2 4 -2 3
15 ES Hammam-Sousse 4 1 5 -4 1
16 CS Hammam-Lif 4 0 4 -4 0