AS Nancy-Lorraine

FranceLigue 22026-2027

Foresportia analyses AS Nancy-Lorraine using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.

Foresportia Elo

1423Ligue 2 rank : 5th

1X2 entropy

1.49Lower = easier to read

Points volatility

1.26Standard deviation over 5 matches

Recent form

2.00Points per match over 5 matches

Model confidence

55.6%Average over 10 predictions

1. How Foresportia evaluates AS Nancy-Lorraine

Summary of indicators actually available in Foresportia data.

1423Foresportia EloLigue 2 rank : 5th

1.491X2 entropyLower = easier to read

1.26Points volatilityStandard deviation over 5 matches

2.00Recent formpoints / match

55.6%Model confidenceAverage over 10 predictions

2. Next match

Ligue 2
11 September 2026 · 20:00

AS Nancy-LorraineElo : 1445

Stade de ReimsElo : 1571

1X2 probabilities (Foresportia model)

21%28%51%

AS Nancy-Lorraine 21%Draw 28%Stade de Reims 51%

Main signalAway win · 51%

Model confidence50.8%

StabilityRisk

View match details →

3. Prediction reliability for AS Nancy-Lorraine

Data updated on 06 September 2026

Reliability trendCumulative monthly history

Insufficient sample

Cumulative monthly history	Profile	Reliability	Volume
2025-08	Risk	Insufficient sample	4
2025-09	Risk	Insufficient sample	7
2025-10	Risk	45.5%	11
2025-11	Risk	50.0%	12
2025-12	Risk	46.2%	13
2026-01	Risk	43.8%	16
2026-02	Risk	40.0%	20
2026-03	Risk	43.5%	23
2026-04	Risk	44.0%	25
2026-05	Risk	40.7%	27
2026-08	Risk	38.7%	31
2025-08	Correct and above	Insufficient sample	0
2025-09	Correct and above	Insufficient sample	1
2025-10	Correct and above	Insufficient sample	2
2025-11	Correct and above	Insufficient sample	3
2025-12	Correct and above	Insufficient sample	4
2026-01	Correct and above	Insufficient sample	5
2026-02	Correct and above	Insufficient sample	5
2026-03	Correct and above	Insufficient sample	5
2026-04	Correct and above	Insufficient sample	7
2026-05	Correct and above	Insufficient sample	7
2026-08	Correct and above	Insufficient sample	7
2025-08	Stable and above	Insufficient sample	0
2025-09	Stable and above	Insufficient sample	1
2025-10	Stable and above	Insufficient sample	1
2025-11	Stable and above	Insufficient sample	2
2025-12	Stable and above	Insufficient sample	3
2026-01	Stable and above	Insufficient sample	3
2026-02	Stable and above	Insufficient sample	3
2026-03	Stable and above	Insufficient sample	3
2026-04	Stable and above	Insufficient sample	4
2026-05	Stable and above	Insufficient sample	4
2026-08	Stable and above	Insufficient sample	4
2025-08	Ultra stable	Insufficient sample	0
2025-09	Ultra stable	Insufficient sample	0
2025-10	Ultra stable	Insufficient sample	0
2025-11	Ultra stable	Insufficient sample	1
2025-12	Ultra stable	Insufficient sample	1
2026-01	Ultra stable	Insufficient sample	1
2026-02	Ultra stable	Insufficient sample	1
2026-03	Ultra stable	Insufficient sample	1
2026-04	Ultra stable	Insufficient sample	1
2026-05	Ultra stable	Insufficient sample	1
2026-08	Ultra stable	Insufficient sample	1

4. Predictive profile for AS Nancy-Lorraine

ContextObserved measureReading

Home performance1.11 pts/matchComparable return

Away performance1.21 pts/matchComparable return

5. Statistical markers for AS Nancy-Lorraine

Team values from Foresportia sources, without a reconstructed league average.

Expected goals created at home0.77

Expected goals conceded at home1.29

Expected goals created away0.87

Expected goals conceded away1.00

Goals scored / match (5)1.20

Goals conceded / match (5)0.60

History: 38 verified matches

6. Market signals for AS Nancy-Lorraine

MarketAverage probabilityReliabilityVolumeReading

Double chance X268.6%76.5%17Major, well-documented signal

Double chance 1X66.7%66.7%15Confirmed signal

Under 2.562.4%64.3%14Recurring signal

Double chance 1270.7%55.6%18Success below the average probability

Both teams to score54.6%66.7%6Promising signal, limited sample

7. Model dynamics & analysis

Foresportia Elo trendTracks the team’s relative level as matches are played.

AS Nancy-Lorraine

Average model confidenceShows how the model’s average certainty changes across matches.

AS Nancy-Lorraine

xG differential trendCompares expected goals created and conceded to track the balance of chances.

PositiveNegative

Model calibrationCompares published probabilities with the rates actually observed.

Observed ratePerfect

8. Foresportia analysis

For Foresportia, AS Nancy-Lorraine mainly combines stronger recent control and a more reliable defensive base. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.

AS Nancy-Lorraine is going through a strong control sequence, with 2.00 points per match over the last five matches and an average xG delta of -0.67.

The next detected match is AS Nancy-Lorraine vs Stade de Reims on 11 September 2026 at 20:00. The leading 1X2 read currently points to “Away win” around 51%.

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

View upcoming matchesBrowse upcoming fixtures and AI analysis.→Explore Ligue 2League calendar, standings and predictions.→Explore teamsBrowse analysis and profiles for other clubs.→Verify our performanceReview Foresportia’s verifiable prediction history.→

9. AS Nancy-Lorraine FAQ

What is the next match for AS Nancy-Lorraine on Foresportia?

This page shows AS Nancy-Lorraine's confirmed next match with the enriched prediction probabilities that are currently available.

How should you read AS Nancy-Lorraine's ranking and Elo?

This page includes dedicated charts for AS Nancy-Lorraine's ranking and Elo trends, with season separators to make the evolution easier to read.

What does the strongest picks block mean for AS Nancy-Lorraine?

It highlights the markets that performed best in the available history for AS Nancy-Lorraine, together with sample size, hit rate and average probability.