Regular Season - 10 · 31 October 2026, 16:00 UTC

MC Oran vs JS Saoura Ligue 1 prediction

Our model says: MC Oran 1–0 JS Saoura

The model makes it 44% MC Oran, 31% draw, 25% JS Saoura — fair odds of 2.27, 3.23 and 4.00. Fair odds are simply 100 ÷ the probability; they are the model's own number, not a bookmaker's price.

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

Expected goals: MC Oran 1.29, JS Saoura 0.82.

Both teams to score: 41%. Over 2.5 goals: 35%, under 2.5: 65%.

Model confidence: Medium.

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 · updated

Key facts

  • MC Oran are 2nd on 10 points from 4 games; JS Saoura are 15th on 2 points from 4 games — Ligue 1.
  • MC Oran are unbeaten in their last 4 games (3 won), most recently a 1-0 win away to US Biskra.
  • JS Saoura have not won in their last 4 games, most recently a 0-1 defeat away to USM Alger.
  • Last 6 meetings: JS Saoura 2 wins to 1, 3 draws; the most recent, 13 March 2026, ended JS Saoura 2–0 MC Oran.

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: MC Oran vs JS Saoura

41%
Both teams to score
35%
Over 2.5 goals
65%
Under 2.5 goals

Most likely scorelines

MC Oran win Draw JS Saoura win
  1. 1–015%
  2. 1–113%
  3. 0–013%
  4. 2–010%
  5. 0–19%
  6. 2–18%
  7. 1–25%

Scores read MC Oran 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 26%.

Has the model earned this number?

It puts MC Oran at 44% here. Across 4,088 settled matches (as of 18 October 2026), 1,906 forecasts have landed in the 40–50% band; those outcomes actually happened 45.7% of the time, against an average forecast of 43.8%. In this range the two line up, so the figure above can be read literally. The full record.

Form going into MC Oran vs JS Saoura

MC Oran

  • W1-0away to US Biskra13 October 2026
  • D0-0ES Setif8 October 2026
  • W1-0away to ASO Chlef18 September 2026
  • W2-0Témouchent11 September 2026

JS Saoura

  • 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

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
2MC Oran431040+410
15JS Saoura402205-52

Where the two sides stand. Full table

Head-to-head: MC Oran vs JS Saoura

  • 13 March 2026JS Saoura 2–0 MC OranLigue 1
  • 18 October 2025MC Oran 1–1 JS SaouraLigue 1
  • 12 February 2025JS Saoura 2–0 MC OranLigue 1
  • 24 September 2024MC Oran 2–0 JS SaouraLigue 1
  • 17 February 2024JS Saoura 1–1 MC OranLigue 1
  • 23 September 2023MC Oran 1–1 JS SaouraLigue 1

Two sides the ratings cannot separate

MC Oran carry a model rating of 6.38 against 6.32 for JS Saoura. 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 1.29 goals for MC Oran and 0.82 for JS Saoura. Those two numbers, not the scoreline, are what the model actually estimates; everything else is derived from them.

MC Oran rate 0.55 in attack and 1.42 in defence, where 1 is league average and a lower defensive number is better; JS Saoura rate 0.48 and 1.44.

How this was produced

Publicly tracked record so far: 1,962 correct results out of 4,088 settled predictions (48%), with 410 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 MC Oran the highest probability at 44%, based on each side's rolling attack and defence ratings estimated from recent match data. The model projects 1.29 expected goals for MC Oran against 0.82 for JS Saoura. MC Oran's attack/defence rating is 0.55/1.42 versus the league average (1.00 = average), compared with 0.48/1.44 for JS Saoura.

Season stats

MC OranJS Saoura
4Matches4
3W 1D 0LRecord0W 2D 2L
4 1.0 per gameGoals scored0 0.0 per game
0 0.0 per gameGoals conceded5 1.3 per game
4 of 4Clean sheets2 of 4
1 of 4Failed to score4 of 4
1 of 1Penalties scored–
7 1.8 per gameYellow cards11 2.8 per game
0Red cards1

MC Oran at home · JS Saoura away

2Played3
1W 1D 0LRecord0W 1D 2L
2–0Goals for – against0–5
2 of 2Clean sheets1 of 3

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: MC Oran 4, JS Saoura 4.

MC Oran scored 000013
JS Saoura conceded 001103

MC Oran score most often in the 76–90 minute window (3 goals); JS Saoura have let in 3 there.

JS Saoura scored 000000
MC Oran conceded 000000

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.