Regular Season - 11 · 7 November 2026, 16:00 UTC

JS Saoura vs JS Kabylie Ligue 1 prediction

Our model says: JS Saoura 1–0 JS Kabylie

The model makes it 38% JS Saoura, 30% draw, 32% JS Kabylie — fair odds of 2.63, 3.33 and 3.13. Fair odds are simply 100 ÷ the probability; they are the model's own number, not a bookmaker's price.

Most likely scoreline: 1-0.

Expected goals: JS Saoura 1.22, JS Kabylie 1.09.

Both teams to score: 47%. Over 2.5 goals: 40%, under 2.5: 60%.

Model confidence: Low — calls at this level have come off 38% of the time, over 961 settled matches.

Evenly matched: once home advantage is counted, neither side has a clear edge. In past matches rated this way the favourite won 41%, 28% were drawn and the underdog won 31%.

Published

Source: Fulltime Stats' own Dixon-Coles model, as of 24 October 2026. JS Saoura's rating is built from 35 Ligue 1 (Algeria) matches and JS Kabylie's from 35, over this season and last, recent ones weighted most.

Key facts

  • JS Saoura are 15th on 2 points from 5 games; JS Kabylie are 4th on 10 points from 5 games — Ligue 1.
  • JS Saoura have not won in their last 5 games, most recently a 0-1 defeat away to MB Rouisset.
  • JS Kabylie are unbeaten in 3 games, most recently a 4-1 win at home to US Biskra.
  • Last 6 meetings: JS Saoura 3 wins to 0, 3 draws; the most recent, 18 March 2026, ended JS Kabylie 0–1 JS Saoura.

More Ligue 1 (Algeria) predictions

Live win probability

From kick-off

From kick-off, the split above updates here every few seconds as the model re-reads the score, the clock and any red cards.

Model insights: JS Saoura vs JS Kabylie

47%
Both teams to score
40%
Over 2.5 goals
60%
Under 2.5 goals

Most likely scorelines

JS Saoura win Draw JS Kabylie win
  1. 1–114%
  2. 1–012%
  3. 0–011%
  4. 0–110%
  5. 2–18%
  6. 2–07%
  7. 1–27%

Scores read JS Saoura first. Each bar is the model's probability of that exact result, drawn against the likeliest one; the other scorelines it considered share the remaining 30%.

Has the model earned this number?

It puts JS Saoura at 38% here. Across 4,534 settled matches (as of 24 October 2026), 3,490 forecasts have landed in the 30–40% band; those outcomes actually happened 33.6% of the time, against an average forecast of 33.7%. In this range the two line up, so the figure above can be read literally. The full record.

Form going into JS Saoura vs JS Kabylie

JS Saoura

Ligue 1

  • L0-1away to MB Rouisset18 October 2026
  • L0-1away to USM Alger13 October 2026
  • D0-0Olympique Akbou8 October 2026
  • D0-0away to US Biskra22 September 2026
  • L0-4away to JS El Biar18 September 2026

JS Kabylie

Ligue 1

  • W4-1US Biskra18 October 2026
  • D1-1away to ES Setif14 October 2026
  • W1-0ASO Chlef9 October 2026
  • L0-1away to Témouchent17 September 2026
  • W1-0MB Rouisset4 September 2026

What these results say

Up to 5 matches before kick-off, most recent first. The model rates each side on its goals over this season and last, adjusted for the opposition, rather than on these results alone, so read them as context — how the ratings are built.

Ligue 1 table

#TeamPWDLGFGAGDPts
15JS Saoura502306-62
4JS Kabylie531173+410

Where the two sides stand. Full table

Head-to-head: JS Saoura vs JS Kabylie

  • 18 March 2026JS Kabylie 0–1 JS SaouraLigue 1
  • 29 October 2025JS Saoura 2–2 JS KabylieLigue 1
  • 17 May 2025JS Kabylie 1–2 JS SaouraLigue 1
  • 2 December 2024JS Saoura 1–1 JS KabylieLigue 1
  • 11 June 2024JS Kabylie 1–1 JS SaouraLigue 1
  • 19 January 2024JS Saoura 3–2 JS KabylieLigue 1

Two sides the ratings cannot separate

JS Saoura carry a model rating of 6.31 against 6.39 for JS Kabylie. The scale is anchored so that an average side in one of Europe's big five leagues sits at 6.85, and it is adjusted for the strength of each team's league, so the two numbers are comparable even across borders.

A gap that small is inside the noise of the rating itself — treat the two as level.

What the model expects

Under the hood the model expects 1.22 goals for JS Saoura and 1.09 for JS Kabylie. Those two numbers, not the scoreline, are what the model actually estimates; everything else is derived from them.

JS Saoura rate 0.47 in attack and 1.43 in defence, where 1 is league average and a lower defensive number is better; JS Kabylie rate 0.63 and 1.59.

Where the model differs from the table

The table and the model disagree here: the standings favour JS Kabylie, while our numbers lean the other way. The model weights recent expected goals rather than results already banked, so it moves before the table does.

Across the rest of the season our simulation gives JS Saoura a 0.2% chance of the title and JS Kabylie 9.1%, from 10,000 simulated seasons.

How this was produced

Publicly tracked record so far: 2,209 correct results out of 4,585 settled predictions (48%), with 455 exact scorelines (10%). That log is updated automatically after every match and is never edited.

Full method: how the model works.

Once the match starts, the win probabilities at the top update live from the score, the clock and any sendings-off.

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

Bars show each side's share of the two-team total, based on the model's attack/defence ratings and expected goals for this fixture.

Why the model favours this side

The model gives JS Saoura the highest probability at 38%, based on each side's rolling attack and defence ratings estimated from recent match data. The model projects 1.22 expected goals for JS Saoura against 1.09 for JS Kabylie. JS Saoura's attack/defence rating is 0.47/1.43 versus the league average (1.00 = average), compared with 0.63/1.59 for JS Kabylie.

How the model reaches 38% 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, JS Saoura's ratings take away 26 points and JS Kabylie's ratings add 20 points, which lands on the published 38%.

  1. Two average sides, neutral ground36%
  2. Home advantage44%+8
  3. JS Saoura's ratings18%−26
  4. JS Kabylie's ratings38%+20

Each step adds one input to the step before. In another order the steps would differ in size; the end point would not.

Season stats

JS SaouraJS Kabylie
5Matches5
0W 2D 3LRecord3W 1D 1L
0 0.0 per gameGoals scored7 1.4 per game
6 1.2 per gameGoals conceded3 0.6 per game
2 of 5Clean sheets2 of 5
5 of 5Failed to score1 of 5
–Penalties scored1 of 1
14 2.8 per gameYellow cards9 1.8 per game
2Red cards0

JS Saoura at home · JS Kabylie away

1Played2
0W 1D 0LRecord0W 1D 1L
0–0Goals for – against1–2
1 of 1Clean sheets0 of 2

League matches only, Ligue 1, this season. Rates are per game, since the two sides have not always played the same number; the tinted figure is the better one, where better is not a matter of taste. Source: API-Football season statistics, refreshed after each league match.

Goals scored and conceded, by minute

All Ligue 1 matches this season: JS Saoura 5, JS Kabylie 5.

JS Saoura scored 000000
JS Kabylie conceded 200010
JS Kabylie scored 104110
JS Saoura conceded 101103

JS Kabylie score most often in the 31–45 minute window (4 goals); JS Saoura have let in 1 there.

Each cell counts the league goals that went in during that 15-minute window. Each side's goals sit above the goals its opponent has let in over the same minutes; the darker the cell, the more goals in that window. Stoppage time counts in the last window of its half. Source: API-Football season statistics, refreshed after each league match; own goals are not always counted on the same side as in the table, so a row can be a goal off it. Context, not a prediction.

The next 2 matches, by difficulty

JS Saoura

  • vs CS Constantine8 Nov · Ligue 1win 50%
  • vs Khenchela13 Nov · Ligue 1win 42%

JS Kabylie

No further matches on our board yet.

Each side's next matches on our board after this one. The colour is how strong the opponent is, from easier to harder as on the scale above: its model rating ranked among the teams of that competition, in fifths, so bright red is the top fifth whoever is playing it. The win figure is this side's own chance in that match, which is where venue and its own level come in. A match already on our board links to its own prediction; the rest follow as their week comes up.