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Ligue 1T-7dlineups pending

Nice vs LOSC Lille

Sunday 20 Sep, 15:15 UTC · Allianz Riviera

Referee not appointedWeather pending
Most probable outcome
LOSC LILLE WIN

Outcome distribution

Calibrated 1X2 probabilities

22.5%
Nice
24.4%
Draw
53.1%
LOSC Lille
Home xG
1.11
Away xG
1.71
Likely score
1–1
11.6%
Completeness
76.3%
input coverage

Why the model says this

Ranked contributing factors

  • Nice attacking output-23

    1.14 xG and 1.14 goals per match over the last 18.

  • LOSC Lille defensive record-12

    1.01 xG and 1.01 goals conceded per match.

  • Nice home record-26

    9.5 scored / 13.6 conceded across 8 home matches.

  • LOSC Lille away record-4

    14.4 scored / 13.5 conceded across 11 away matches.

  • Squad availability+3

    Nice: Laurent Abergel  (out), Antoine Mendy (out) · LOSC Lille: Dilane Bakwa (out), Hamza Igamane (out), Nabil Bentaleb (out)

  • Squad depth+1

    Nice: 32 registered, 0 regular starters, fit cover 3GK/8DEF/9MID/8FWD, 0% of squad minutes unavailable · LOSC Lille: 27 registered, 0 regular starters, fit cover 3GK/8DEF/4MID/9FWD, 0% of squad minutes unavailable

  • Recent transfer activity-12

    Nice: 9 in (2 on loan), 13 out including 0 regulars — Brad-Hamilton Mantsounga to Excelsior Virton, Victor Orakpo to Gençlerbirliği, Mohamed Amoura from VfL Wolfsburg · LOSC Lille: 6 in (0 on loan), 8 out including 0 regulars — Maurits Kjærgaard from Salzburg, Orlando Gill from San Lorenzo, Ousmane Touré to Dunkerque

  • Nice last 9 played-49

    D L D L D — 0.56 scored / 1.55 conceded per match, 0.58 points per game (recency weighted).

  • LOSC Lille last 7 played-35

    L W W D W — 1.87 scored / 1.17 conceded per match, 1.87 points per game (recency weighted).

  • Model agreementneutral

    Elo 24% · form 19% · goal model 24% · results history 13% for the home win.

  • Expected attacking output-20

    Goal-expectancy model: Nice 1.11 xG, LOSC Lille 1.71 xG.

Most likely outcomes

Ranked by model probability · confidence is per outcome, from the raw sample behind it

Betting parameters

Full-time 1X2 and derived result combinations.

Probabilities are model estimates from the same score distribution as the 1X2 line. KICK90 publishes likelihoods, not tips.

Team comparison

Last-10 window

MetricNiceLOSC Lille
Elo13641557
Record2W 8D 8L10W 2D 7L
Goals for / against20.483784513554074 / 35.0959922002584423.857041057042835 / 19.268720594175313
xG for / againstDATA UNAVAILABLEDATA UNAVAILABLE
Possession50%57%
Rest daysDATA UNAVAILABLEDATA UNAVAILABLE
Venue split8 matches, 9.515251945738912–13.60202258243599411 matches, 14.417867364019699–13.524087455357924

AI briefing

The model explains the numbers — it does not produce them

Generate a written analyst briefing that separates verified data from interpretation.

Confidence

Separation · completeness · model agreement

57Low

Confidence reflects how strongly the evidence points one way — not how attractive the outcome is. It rises as lineups confirm and data completeness improves.

Probability evolution

How the answer moved toward kickoff

  • T-7dcompleteness 76.3%
    22.5% / 24.4% / 53.1%

Squad availability

Weighted by importance and output

Nice
  • Laurent Abergel  Midfielderout
  • Antoine Mendy Defenderout
LOSC Lille
  • Dilane Bakwa Attackerout
  • Hamza Igamane Attackerout
  • Nabil Bentaleb Midfielderout

Availability impact: 3.0% home attack, 4.9% away attack.