Regular Season - 2 · 13 November 2026, 17:00 UTC

JS Saoura vs Khenchela Ligue 1 prediction & result

Full time1 – 1

Final score: JS Saoura 1-1 Khenchela.

Before kick-off the model made it 45% JS Saoura, 31% draw, 24% Khenchela — fair odds of 2.22, 3.23 and 4.17.

Most likely scoreline: 1-0 (15%).

Expected goals: JS Saoura 1.32, Khenchela 0.81.

Both teams to score: 41%. Over 2.5 goals: 36%, under 2.5: 64%.

Model confidence: Medium.

Published · updated

More Ligue 1 (Algeria) predictions

All Ligue 1 (Algeria) predictions →

Model insights: JS Saoura vs Khenchela

41%
Both teams to score
36%
Over 2.5 goals
64%
Under 2.5 goals
Most likely scorelines1-0 15%1-1 13%0-0 13%

Has the model earned this number?

JS Saoura at 45%: of 2,957 settled 40–50% forecasts, 46.1% came in (average 43.9%). It can be read literally. The full record.

Match analysis

Match timeline

⚽K. Allaoui
9'
M. Fenniri
13'
43'
A. Boukhalfa
K. Allaoui
44'
45+2'
⚽F. Mebarki (OG)
🔁M. Fenniriout: C. Wayou
46'
🔁E. A. Nabi M.out: O. Yerou
46'
46'
🔁A. Mathew Fallout: F. Amrane
47'
K. Issouf
🔁O. Ashirafout: E. I. Fettouhi N.
60'
O. Yerou
68'
🔁O. Bentalebout: A. Khoumani
72'
77'
🔁M. Nezlaout: I. Hachoud
79'
A. Zenasni
84'
🔁A. Zenasniout: S. Matallah
🔁O. Daibecheout: I. F. Haddouche
86'
90'
🔁A. Camaraout: Y. Douar

Form going into JS Saoura vs Khenchela

JS Saoura

Ligue 1

  • W1-0CS Constantine8 November 2026
  • L0-1away to CR Belouizdad2 November 2026
  • D0-0Ben Aknoun24 October 2026
  • L0-1away to MB Rouisset18 October 2026

Khenchela

Ligue 1

  • D1-1Témouchent8 November 2026
  • L0-2away to MC Alger31 October 2026
  • L0-3JS Kabylie24 October 2026
  • L0-1away to MC Oran17 October 2026

What these results say

  • Every one of these 4 matches for JS Saoura had two goals or fewer.
  • JS Saoura failed to win 3 of these 4 matches.
  • JS Saoura failed to score in 3 of these 4 matches.
  • Khenchela did not win any of these 4 matches.
  • Khenchela conceded in every one of these 4 matches.
  • Khenchela failed to score in 3 of these 4 matches.

Up to 5 matches before kick-off, most recent first; context, not the model's input. How to read this.

Algeria Ligue 1 table

#TeamPWDLGFGAGDPts
13JS Saoura914428-67
12Khenchela9144510-57

Where the two sides stand today, not on the day of this match. Full table

Head-to-head: JS Saoura vs Khenchela

  • 17 April 2026JS Saoura 3–0 KhenchelaLigue 1
  • 22 November 2025Khenchela 3–0 JS SaouraLigue 1
  • 18 February 2025Khenchela 1–3 JS SaouraLigue 1
  • 2 January 2025JS Saoura 2–1 KhenchelaCoupe Nationale
  • 28 September 2024JS Saoura 1–1 KhenchelaLigue 1
  • 26 May 2024Khenchela 1–0 JS SaouraLigue 1

Written before kick-off and left as it stood — the reading below is the model's pre-match case, not a view formed after the result.

Where the model differs from the table

The table and the model disagree here: the standings favour Khenchela (12th, with JS Saoura 13th), while our numbers lean to JS Saoura. JS Saoura rate 0.42 in attack and 1.37 in defence, Khenchela 0.49 and 1.93 (lower is better in defence), so JS Saoura have been the better side in defence on recent expected goals, which the table does not yet show. Playing at home adds the rest.

What this result changed

Before kick-off the season simulation gave JS Saoura a 15.9% chance to finish in the bottom three: 11.3% after a win, 17.2% after a draw, 23.2% after a defeat. The draw was the middle one of the three, and left the figure at 17.2%, 1.3 points higher than before the match.

For Khenchela the question was the chance to finish in the bottom three, 35.3% going in: 24.3% after a win, 34.1% after a draw, 40.4% after a defeat. The draw was the middle one of the three, and left the figure at 34.1%, 1.2 points lower than before the match.

Read from our Ligue 1 season simulation as it stood before this match (10,000 runs), counting this result alone. Every result since then has moved the table again, so today's figure is on the competition page.

Statistical estimate, not betting advice This prediction is generated from a statistical model for entertainment and informational purposes only. It does not guarantee any outcome and should not be used as the basis for placing a bet.

Team comparison

JS Saoura Khenchela
0.42 Attack strength (vs league average) 0.49
1.37 Defence strength (vs league average, lower = stronger) 1.93
1.32 Model expected goals (this match) 0.81

Each side's share of the two-team total. How to read this.

Why the model favours this side

The model gives JS Saoura the highest probability at 45%, based on each side's rolling attack and defence ratings estimated from recent match data. The model projects 1.32 expected goals for JS Saoura against 0.81 for Khenchela. JS Saoura's attack/defence rating is 0.42/1.37 versus the league average (1.00 = average), compared with 0.49/1.93 for Khenchela.

JS Saoura carry a model rating of 6.3 against 6.16 for Khenchela. A gap that small is inside the noise of the rating itself — treat the two as level.

How the model reaches 45% for JS Saoura to win

Start from two average sides on neutral ground: 36% for JS Saoura to win. Then home advantage adds 8 points, the level of the two sides takes away 3 points, JS Saoura's ratings add 1 point and Khenchela's ratings add 3 points, which lands on the published 45%.

  1. Two average sides, neutral ground36%
  2. Home advantage44%+8
  3. Both sides at this match's level41%−3
  4. JS Saoura's ratings42%+1
  5. Khenchela's ratings45%+3

Each step adds one input to the step before. How to read this.