Ligue 1 Gameweek 10 Sun, Nov 8 · 19:45 Stade Bollaert-Delelis, Lens
Get full prediction oneScoredOdds · Value · Detailed stats →
Lens53.0%fair odds 1.89
Draw22.4%fair odds 4.46
Marseille24.6%fair odds 4.06
Expected goals2.03 – 1.34total 3.38
Likeliest score1–19.8%

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.

Lens

Baseline: average Ligue 1 opponent

Attack Downlift −4% Expected goals Baseline2.12Forecast2.03
Conceding Risk +10% Expected goals conceded Baseline1.22Forecast1.34
Clean Sheet −3.3 pp Chance of conceding no goals Baseline29.4%Forecast26.1%

Marseille

Baseline: average Ligue 1 opponent

Attack Downlift −10% Expected goals Baseline1.50Forecast1.34
Conceding Risk +24% Expected goals conceded Baseline1.65Forecast2.03
Clean Sheet −6.2 pp Chance of conceding no goals Baseline19.3%Forecast13.1%
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

Lens ↓ · Marseille →0123456+
03.94.13.11.40.50.10.0
16.59.86.32.80.90.30.1
27.19.56.42.91.00.30.1
34.86.44.31.90.60.20.0
42.43.32.21.00.30.10.0
51.01.30.90.40.10.00.0
6+0.50.60.40.20.10.00.0

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

Most likely scores

  • 1–19.8%10.18
  • 2–19.5%10.54
  • 2–07.1%14.15
  • 1–06.5%15.49
  • 3–16.4%15.55
  • 2–26.4%15.70
  • 1–26.3%15.97
  • 3–04.8%20.87
  • 3–24.3%23.16
  • 0–14.1%24.43

Winning margin

15.4% Lens by 3+ fair 6.48
16.1% Lens by 2 fair 6.19
21.4% Lens by 1 fair 4.67
22.4% Draw fair 4.46
14.0% Marseille by 1 fair 7.17
7.0% Marseille by 2 fair 14.21
3.6% Marseille by 3+ fair 27.45

Goal distribution

Total goals

4%0
11%1
20%2
22%3
19%4
25%5+

Lens goals

13%0
27%1
27%2
18%3
15%4+

Marseille goals

26%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

  • Lens win53.0%1.89
  • Draw22.4%4.46
  • Marseille win24.6%4.06
  • Double chance Lens or draw75.4%1.33
  • Double chance Lens or Marseille77.6%1.29
  • Double chance Marseille or draw47.0%2.13
  • Draw no bet Lens68.3%1.47
  • Draw no bet Marseille31.7%3.15

Goals

  • Over 0.596.1%1.04
  • Over 1.585.5%1.17
  • Over 2.565.6%1.53
  • Over 3.543.6%2.29
  • Over 4.525.1%3.98
  • Under 1.514.5%6.92
  • Under 2.534.4%2.90
  • Under 3.556.4%1.77

Both teams to score

  • Yes64.7%1.55
  • No35.3%2.83
  • Yes and over 2.554.9%1.82
  • Lens win and yes30.8%3.25
  • Draw and yes18.5%5.41
  • Marseille win and yes15.5%6.47

Team goals

  • Lens over 0.586.9%1.15
  • Lens over 1.560.3%1.66
  • Lens over 2.533.2%3.01
  • Marseille over 0.573.9%1.35
  • Marseille over 1.538.8%2.58
  • Marseille over 2.515.3%6.54
  • Lens clean sheet26.1%3.83
  • Marseille clean sheet13.1%7.64
  • Lens win to nil22.2%4.50
  • Marseille win to nil9.2%10.90

Handicap

  • Lens −1.531.6%3.17
  • Lens −2.515.4%6.48
  • Marseille +1.568.4%1.46
  • Marseille +2.584.6%1.18
  • Marseille −1.510.7%9.37
  • Lens +1.589.3%1.12

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.