Statistics / Football / Algeria. Ligue 1 / JS Kabylie vs ASO Chlef

JS Kabylie vs ASO Chlef Statistics & Analysis

JS Kabylie JS Kabylie
Oct 09, 2026 - 16:45
1 1.39
0 1.21
xG Accuracy: 64%
ASO Chlef ASO Chlef
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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 JS Kabylie JS Kabylie ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-0 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 02:53 UTC Snapshot ID: dp-8699311

Closing Odds 1.44
AI Fair Odds —
CLV +0.0%
Final Result JS Kabylie win · JS Kabylie 1–0 ASO Chlef
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 PRE20 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), ASO Chlef (1X2) 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 ASO Chlef (1X2) by about 19.0 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
JS Kabylie (1X2) 39.5 62.8 -23.3
Draw (1X2) 29.5 25.1 +4.3
ASO Chlef (1X2) 31.0 12.1 +19.0
What this means

In plain terms: the model lands near 31.0% on ASO Chlef (1X2), while the closing snapshot implied about 12.1%. The difference — about 19.0 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: PRE20 → PRE1 · Book: 1xbet br

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 (PRE20) Closing (PRE1) Implied Δ (pp)
JS Kabylie (1X2) 1.44 1.44 0.0
Draw (1X2) 3.6 3.6 0.0
ASO Chlef (1X2) 7.5 7.5 0.0

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Ligue 1
  • Fixture: JS Kabylie vs ASO Chlef
  • Kickoff: 2026-09-19 15:00:00
  • 1X2 (model): Home 39.5% · Draw 29.5% · Away 31.0%
  • xG (showing): JS Kabylie 1.39 — ASO Chlef 1.21 (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 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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

Historical Recommendation

Historical Decision: Wait - 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

October 10, 2026 (UTC)

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Back to Statistics
Ligue 1 Ligue 1 — Standings
# TEAM MP W D L PTS
1 USM Alger 3 2 1 0 7
2 CR Belouizdad 3 2 1 0 7
3 MC Oran 2 2 0 0 6
4 Ben Aknoun 3 1 2 0 5
5 CS Constantine 3 1 1 1 4
6 Témouchent 3 1 1 1 4
7 ES Setif 3 1 0 2 3
8 MC Alger 1 1 0 0 3
9 JS El Biar 3 1 0 2 3
10 JS Kabylie 2 1 0 1 3
11 Oued Akbou 3 1 0 2 3
12 MB Rouisset 3 1 0 2 3
13 Khenchela 2 0 2 0 2
14 US Biskra 3 0 2 1 2
15 ASO Chlef 3 0 1 2 1
16 JS Saoura 2 0 1 1 1
# TEAM MP GS GC +/- PTS
1 USM Alger 3 5 2 +3 7
2 CR Belouizdad 3 5 3 +2 7
3 ES Setif 3 5 3 +2 3
4 CS Constantine 3 5 6 -1 4
5 Ben Aknoun 3 4 3 +1 5
6 JS El Biar 3 4 4 0 3
7 Oued Akbou 3 4 5 -1 3
8 MC Oran 2 3 0 +3 6
9 ASO Chlef 3 3 7 -4 1
10 MC Alger 1 2 0 +2 3
11 Témouchent 3 2 3 -1 4
12 MB Rouisset 3 2 3 -1 3
13 US Biskra 3 2 3 -1 2
14 JS Kabylie 2 1 1 0 3
15 Khenchela 2 1 1 0 2
16 JS Saoura 2 0 4 -4 1
Ligue 1 Algeria. Ligue 1 Predictions