Ligue 1 Gameweek 8 Sun, Oct 25 · 16:15 Roazhon Park, Rennes
Get full prediction oneScoredOdds · Value · Detailed stats →
Rennes56.2%fair odds 1.78
Draw20.9%fair odds 4.78
Strasbourg22.9%fair odds 4.37
Expected goals2.24 – 1.40total 3.64
Likeliest score2–19.2%

Everything on this tab comes from one score matrix: the LOAD90 forecast (EloLambda with attack and defence, availability, playing style and High Congestion) turned into a probability for every scoreline with the Dixon–Coles low-score correction. Fair odds are 1 ÷ probability, with no bookmaker margin. This is a probability model, not betting advice; for odds and value see eScored.

Match Opportunity

How this opponent changes expected goals compared with an average opponent from each team's domestic league.

Rennes

Baseline: average Ligue 1 opponent

Attack Uplift +2% Expected goals Baseline2.20Forecast2.24
Conceding Risk −1% Expected goals conceded Baseline1.42Forecast1.40
Clean Sheet +0.5 pp Chance of conceding no goals Baseline24.2%Forecast24.8%

Strasbourg

Baseline: average Ligue 1 opponent

Attack Uplift +1% Expected goals Baseline1.38Forecast1.40
Conceding Risk +24% Expected goals conceded Baseline1.80Forecast2.24
Clean Sheet −5.9 pp Chance of conceding no goals Baseline16.5%Forecast10.6%
About this comparison

The same LOAD90 model is run against a virtual opponent with the league's average Elo, raw attack and defence parameters and standardised possession, with no extra absences or high congestion. Your team's strength, squad availability, congestion and the match's venue context are kept. This measures opponent opportunity, not a change in your team's form. Positive attack change is favorable; negative conceding change is favorable. Clean-sheet changes are percentage points. Values are locked at kick-off.

Score matrix

Rennes ↓ · Strasbourg →0123456+
03.13.22.61.20.40.10.0
15.58.75.72.70.90.30.1
26.69.26.43.01.00.30.1
34.96.94.82.20.80.20.1
42.83.92.71.30.40.10.0
51.21.71.20.60.20.10.0
6+0.70.90.70.30.10.00.0

Chance of each exact score, in %. Rows are Rennes goals, columns Strasbourg goals; 6+ adds up six goals or more.

Most likely scores

  • 2–19.2%10.84
  • 1–18.7%11.54
  • 3–16.9%14.50
  • 2–06.6%15.13
  • 2–26.4%15.52
  • 1–25.7%17.40
  • 1–05.5%18.32
  • 3–04.9%20.24
  • 3–24.8%20.77
  • 4–13.9%25.86

Winning margin

18.3% Rennes by 3+ fair 5.45
16.9% Rennes by 2 fair 5.93
21.0% Rennes by 1 fair 4.77
20.9% Draw fair 4.78
12.9% Strasbourg by 1 fair 7.75
6.5% Strasbourg by 2 fair 15.31
3.5% Strasbourg by 3+ fair 28.77

Goal distribution

Total goals

3%0
9%1
18%2
21%3
19%4
30%5+

Rennes goals

11%0
24%1
27%2
20%3
19%4+

Strasbourg goals

25%0
35%1
24%2
11%3
5%4+

LOAD90 vs pure EloLambda

EloLambda is the stable eScored model without the LOAD90 factors. The change column is what playing style and High Congestion add for this match; see the methodology.

All markets model probability and fair odds

Result

  • Rennes win56.2%1.78
  • Draw20.9%4.78
  • Strasbourg win22.9%4.37
  • Double chance Rennes or draw77.1%1.30
  • Double chance Rennes or Strasbourg79.1%1.26
  • Double chance Strasbourg or draw43.8%2.28
  • Draw no bet Rennes71.0%1.41
  • Draw no bet Strasbourg29.0%3.45

Goals

  • Over 0.596.9%1.03
  • Over 1.588.2%1.13
  • Over 2.570.4%1.42
  • Over 3.549.3%2.03
  • Over 4.530.1%3.32
  • Under 1.511.8%8.50
  • Under 2.529.6%3.38
  • Under 3.550.7%1.97

Both teams to score

  • Yes67.7%1.48
  • No32.3%3.09
  • Yes and over 2.559.0%1.69
  • Rennes win and yes34.5%2.90
  • Draw and yes17.9%5.60
  • Strasbourg win and yes15.4%6.51

Team goals

  • Rennes over 0.589.4%1.12
  • Rennes over 1.565.6%1.53
  • Rennes over 2.538.9%2.57
  • Strasbourg over 0.575.2%1.33
  • Strasbourg over 1.540.7%2.46
  • Strasbourg over 2.516.6%6.04
  • Rennes clean sheet24.8%4.04
  • Strasbourg clean sheet10.6%9.41
  • Rennes win to nil21.7%4.61
  • Strasbourg win to nil7.6%13.23

Handicap

  • Rennes −1.535.2%2.84
  • Rennes −2.518.3%5.45
  • Strasbourg +1.564.8%1.54
  • Strasbourg +2.581.7%1.22
  • Strasbourg −1.510.0%9.99
  • Rennes +1.590.0%1.11

Corners, cards and shots are not forecast by LOAD90; their actual averages are on the Overview tab.

Model track record Ligue 1 2026-2027

All LOAD90 forecasts before this match.

Matches scored63 Favourite won55.6% Avg chance given to result41.3% 1X2 Brier0.584 Over 2.5 called right65.1% BTTS called right63.5%

Calibration · when the favourite was given…

LOAD90 vs Bookmaker

Compared on the same 54 of 63 scored matches.

Bookmaker probabilities come from pre-match 1X2 odds supplied by eScored, with the margin removed. Prices may have been recorded at different times before kick-off. Bookmaker identity is unavailable for 45 archived lines; these prices may come from different bookmakers.

Pre-match forecasts only. 18 of 63 were published live before kick-off; the rest were rebuilt after the match from pre-match data, never using the result. Numbers are home · draw · away chances, the actual result in bold. A good model's favourites in the 60–70% row should win about 65% of the time.