PAU vs Nantes — Ligue 2 forecast, Saturday, 7 November 2026

Ligue 2·Saturday, 7 November 2026·19:00
PAU

vs

19:00

— vs 15th

Nantes

Metis Forecast

Market-anchored distribution

Model updated

PAU

31%

Draw

28%

Nantes

41%

Expected goals

1.20–1.24

PAU · Nantes

Nantes win 41% of the current Metis Forecast. Most likely scores: 1–1 (13.4%), 0–1 (12.5%), 1–2 (10.4%).More forecast detail +

Both teams score in 50% of simulations.

Those three cover 36% of outcomes; the other 64% is spread across every remaining scoreline.

PAU score at least twice in 33%; Nantes in 36%.

Scoreline distribution

Match outcomes

Both teams score50%
Over 1.5 goals71%
Over 2.5 goals44%
Over 3.5 goals23%
Over 4.5 goals10%
Team scoring & clean sheets
PAU clean sheet28%
Nantes clean sheet32%
PAU score 2+33%
Nantes score 2+36%
PAU score 3+13%
Nantes score 3+12%

Model vs market

SourceHomeDrawAway
Raw Metis model49%28%23%
Market reference31%28%41%
Metis Forecast31%28%41%

Market reference: pinnacle, de-vigged (shin) · price snapshot .

The forecast combines the model’s scoreline structure with market information where a fresh price exists. The raw model is kept separate and benchmarked independently against the Pinnacle opening price.

Most likely scores

1–113.4%
0–112.5%
1–210.4%
0–09.4%
1–07.4%
0–26.9%

Market odds

MarketPinnacle
PAU3.04
Draw3.35
Nantes2.35

Market reference: Pinnacle. Prices shown for context, not as a best-price comparison.

Reference prices, published with the 01 Nov · 04:37 UTC model run. They are not live and will have moved since.

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Recent form

No recent results.

Nantes

8 AugHvs Red Star0–1L
14 AugAvs Laval1–2L
22 AugHvs Rodez2–5L
29 AugAvs Guingamp3–3D
7 SeptHvs Nancy1–0W

Head to head

No previous meetings in the Metis results archive for this competition.

Model context

StatPAU
(Home · no matches)
Nantes
(Away · 5 matches)
BTTS rate—60.0%
Over 2.5 rate—60.0%
Clean sheet—0.0%
Avg goals—2.80

Home stats use PAU's home record; away stats use Nantes's away record this season. These are completed-match rates over the samples shown above, not model probabilities — early in a season a handful of matches produces 0% and 100% readings.