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Every prediction is logged before kick-off and scored after the final whistle.© 2026 Oddbert. No affiliate links. No betting accepted. · Weather data from OpenWeather (ODbL).

Lyon vs Lillestrom prediction

UEFA Europa LeagueUEFA Europa League·Round League Stage - 5
LyonLyon
21:00
Thu 26 Nov
Prediction T-24hUpcoming
LillestromLillestrom

Most likelyLyon win · 80%

PredictionOddsContextMovementDetails

Oddbert's view

Most likely: Lyon win

Oddbert gives Lyon a 80% chance of winning.

80%Lyon
12%Draw
8%Lillestrom

In 100 matches like this, Lyon would win about 80. In the other 20 or so, Lyon doesn't win.

Dot chart of 100 matches like this: Lyon win 80, Draw 12, Lillestrom win 8.

  • Lyon win80
  • Draw12
  • Lillestrom win8

Each dot is one match out of 100 like this.

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Prediction

80%1LyonLyon win
12%XDrawDraw
8%2LillestromLillestrom win

No bookmaker price at forecast time — model onlyNo bookmaker had priced this match when this forecast was made, so it is our model on its own, with no market check.

These are calibrated probabilities. See how closely they've matched real outcomes

Prediction as of 13 Nov 2026

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Match previewSummary

Lyon meet Lillestrom. The model leans toward Lyon, shaped mainly by Elo difference (team-tuned home advantage) and Pi-rating edge. See the probability bar above for the exact figures.

Written from the model's main factors with a fixed template, not by the AI. The probabilities come only from our forecast.

Odds comparisonBookmaker odds

Odds include the bookmaker's margin.

Words explained:

No price from a Danish-licensed bookmaker yet

We only show prices from bookmakers with a Danish licence (Spillemyndigheden).

Bookmaker names shown for reference only. No affiliate links.Bookmakers' names are here for reference only. We don't link to them.

Bookmaker odds are turned off. You can turn them back on under Display at the bottom of the page.

Stake sizer

No price from a Danish-licensed bookmaker is recorded for this outcome right now, so we size nothing.

Hypothetical sizing in currency-neutral units, not betting advice. Predictions are probabilities, not guarantees. 18+.

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Even the most likely result, a win for Lyon (80%), doesn't happen in about 20 of 100 matches like this.

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  • Odds are hidden.

Match context

Strength-adjusted form

Lyon

  1. L↓0-2SB2
  2. D↓1-1RS
  3. W↓2-0ANG
  4. L↑0-2PSG
  5. L↓0-31H

↑ stronger · = even · ↓ weaker opponent

Lillestrom

  1. L↑0-1PLZ
  2. L↑0-6RS
  3. D↑1-1SP
  4. L↑1-2TOR
  5. W↑2-1ER

↑ stronger · = even · ↓ weaker opponent

Injuries & absences

Lyon

Absence data is not available for this match.

Lillestrom

Absence data is not available for this match.

Head to head

No previous meetings on record.

Recent form

Recent form — context only, not a tip.

Lyon

Goals

Scored / game
1.5last 10
Conceded / game
1.4last 10
xG for / game
1.37last 10
xG against / game
1.41last 10
Clean sheets
2 / 10
BTTS
5 / 10
Over 2.5
6 / 10

Match stats

Corners
4.8last 10
Shots
11.8last 10
Shots on target
5.0last 10
Fouls
10.3last 10
Yellow cards
1.5last 10

Key players

  • C. Tolisso4G 2A10 apps
  • E. Nuamah4G 0A7 apps
  • Keito Nakamura1G 3A9 apps

Lillestrom

Goals

Scored / game
0.5last 6
Conceded / game
1.8last 6
xG for / game
1.08last 3
xG against / game
1.67last 3
Clean sheets
1 / 6
BTTS
3 / 6
Over 2.5
2 / 6

Match stats

Corners
5.2last 6
Shots
14.8last 4
Shots on target
3.2last 6
Fouls
11.0last 6
Yellow cards
1.7last 6

Key players

Player data from 4 of 6 matches

  • T. Lehne Olsen2G 0A4 apps
  • Vá0G 1A4 apps
  • G. Nordh0G 1A3 apps

Line movement

Lyon—

No line movement recorded yet

Draw—

No line movement recorded yet

Lillestrom—

No line movement recorded yet

Under the hood

How the model sees this match — the drivers and, after full-time, how the prediction scored.

Why this prediction

ExplanationSummary

The model leans toward Lyon, shaped mainly by Elo difference (team-tuned home advantage) and Pi-rating edge. This is our own view, not a proven edge. See the probability bar and factor chips above for the exact figures.

Written from the model's main factors with a fixed template, not by the AI. The probabilities come only from our forecast.

How we make these predictions
Top model factors
Elo difference (team-tuned home advantage)46023%Pi-rating edge0.6722%Expected goals (away)0.2312%Expected goals (home)3.5712%What's at stake (away)0.009%Recent form (away)1.889%

The driver chips attribute the gradient-boosted component of an ensemble whose headline is additionally anchored to the market where a consensus exists — they explain that part of the number, not all of it.