Statistics / Football / Tunisia. Ligue 1 / US Ben Guerdane vs CS Hammam-Lif

US Ben Guerdane vs CS Hammam-Lif Statistics & Analysis

US Ben Guerdane US Ben Guerdane
Sep 20, 2026 - 15:00
1 1.31
0 1.29
xG Accuracy: 64%
CS Hammam-Lif CS Hammam-Lif
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

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 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 US Ben Guerdane US Ben Guerdane ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-0 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Aug 16, 2026 · 02:39 UTC Snapshot ID: dp-4236326

Closing Odds 5.71
AI Fair Odds —
CLV +0.0%
Final Result US Ben Guerdane win · US Ben Guerdane 1–0 CS Hammam-Lif
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices CS Hammam-Lif (1X2), Over 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Over 2.5 goals by about 20.2 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
US Ben Guerdane (1X2) 35.6 45.1 -9.5
Draw (1X2) 29.7 38.8 -9.1
CS Hammam-Lif (1X2) 34.7 16.1 +18.7
Over 2.5 goals 48.2 28.0 +20.2
Under 2.5 goals 51.8 72.0 -20.2
What this means

In plain terms: the model lands near 48.2% on Over 2.5 goals, while the closing snapshot implied about 28.0%. The difference — about 20.2 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
US Ben Guerdane (1X2) 2.03 2.03 0.0
Draw (1X2) 2.36 2.36 0.0
CS Hammam-Lif (1X2) 5.71 5.71 0.0
Over 2.5 goals 3.31 3.31 0.0
Under 2.5 goals 1.29 1.29 0.0

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Ligue 1
  • Fixture: US Ben Guerdane vs CS Hammam-Lif
  • Kickoff: 2026-08-22 15:30:00
  • 1X2 (model): Home 35.6% · Draw 29.7% · Away 34.7%
  • xG (showing): US Ben Guerdane 1.31 — CS Hammam-Lif 1.29 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 54.5% · Implied: 35.7% · Probability edge: +18.8 pts · Est. EV: +42.8%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: No Primary Bet

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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Back to Statistics
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