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Nantes v Stade de Reims — Prediction, Odds & Stats

Saturday 10 October 2026 · FRA-Ligue 2 · 2627

FRA-Ligue 2 results-only Prediction generated

AI prediction

ai-blend v1.0 daily
Nantes win
18.3%
model 17.8%
Draw
22.5%
model 20.2%
Stade de Reims win
59.2%
model 62.0%

Calibrated: the model's number corrected by how often calls at that confidence have landed, out of sample (1,523 settled matches in the thinnest band), then normalised. The smaller figure is the raw model output.

Top 5 scorelines

  1. 1-2 9.8%
  2. 1-1 9.1%
  3. 0-2 8.8%
  4. 0-1 7.6%
  5. 1-3 7.2%

Goals

Over 2.564.7% Under 2.535.3%
BTTS yes60.2% BTTS no39.8%
Nantes 1+67.2% Nantes 2+30.7%
Stade de Reims 1+89.1% Stade de Reims 2+65.0%

Expected goals 1.12 – 2.22. Every market above is read off one scoreline distribution.

Footing

AI confidence
71/100
Data quality
65/100
Model agreement
88%
★ Best pick
Nothing on a measured band prices above 1.18 here.
★ Most likely to land
Nothing on a measured band prices above 1.18 here.

Positive factors

  • Stade de Reims carry the stronger rating, 1608 Elo against 1360.
  • Form is good: 2.20 points a match from the last five.

Risk factors

  • The component models disagree more than usual (agreement 0.88).
Why the model thinks this

The price

Stade de Reims have an estimated 59.2% win probability, against 22.5% for the draw and 18.3% for Nantes. Expected goals from the ensemble are 1.12 for Nantes and 2.22 for Stade de Reims.

Why Nantes

Nothing in the data singles out Nantes.

Why the draw is live

The draw sits at 22.5%. Draws run at 28% in this competition.

Why Stade de Reims can win

Stade de Reims carry the stronger rating, 1608 Elo against 1360. Form is good: 2.20 points a match from the last five.

Key players

Nantes's leading contributors by expected goal involvements a match: Matthis Abline (0.37), Ignatius Ganago (0.27), Mohamed Kaba (0.22).

Availability

No lineup on record for Stade de Reims, so availability is unknown.

The matchup, as far as the data reaches

Nantes: 57% possession, 12.4 shots a match, 10.8 faced, 0.46 xG a match from set pieces. Stade de Reims: 51% possession, 12.2 shots a match, 9.8 faced, 0.30 xG a match from set pieces.

Inputs last refreshed: matches 2026-09-05 22:20 · team_stats 2026-09-05 09:41 · availability 2026-09-05 21:03 · prediction 2026-09-05 18:39 ·

Stade de Reims are the model's most likely outcome at 59.2%. The likeliest scoreline is 1-2 at 9.8%. Confidence 71/100, data quality 65/100. These are probabilities, not certainties: the less likely outcome happens as often as its number says.

Written from the numbers the model saw, not by a language model; nothing here is a statistic the snapshot does not hold. How predictions work.

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Was this pick made in advance?
A model whose name ends -oos is out of sample: it was fitted only on matches played before this one, so its pick is a genuine forecast rather than hindsight. Anything without that suffix was fitted on all available data.

What the chances say

Nantes are finishing sharply below their chances — 5.7 goals fewer than expected across 10 matches, despite creating the openings. They are also conceding fewer than expected — 2.9 goals saved beyond what the chances suggest.

LLDDDLLWLD last 10 scored 7 from 12.7 xG conceded 11 from 13.9 xG

Finishing swings far more than chance creation, so a gap this size usually narrows. Over ten matches it is suggestive, not settled — a genuinely elite finisher beats expected goals for years.

What the model said

ModelHome / Draw / Away Expected goalsLikeliest score O2.5BTTS
dc-xg 1.18–2.62 1-2 9% 73% 64%

A model whose name ends -oos was produced by the walk-forward backtest: it was fitted only on matches played before this one, so the pick is genuinely out of sample.

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On this page

Match

What this page is for

One fixture in full. The model's probability for every market it prices, the prices stored against them, the teams expected to feature, and for a match already played, the shot map and the xG timeline.

How to read the shot map

Every shot is placed where it was taken and sized by its chance of being scored. A cluster of small marks from distance and a clean sheet is a side that was busy without ever threatening; two big marks and a defeat is a side that had the better of it and lost anyway. Both happen constantly, and both are invisible in the score.

How to read the xG timeline

The steps are chances as they arrived, so the shape shows who was on top and when. A flat line that jumps once near the end is a smash and grab.

Things to watch

The stored prediction is the one made before the match, kept deliberately so it can be judged afterwards. It is not re-fitted with hindsight.

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