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OGC Nice

FranceLigue 12026-2027

Foresportia analyses OGC Nice using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.

Foresportia Elo
1513Ligue 1 rank : 8th
1X2 entropy
1.55Lower = easier to read
Points volatility
1.20Standard deviation over 5 matches
Recent form
2.40Points per match over 5 matches
Model confidence
49.4%Average over 10 predictions

Current analysis: OGC Nice

OGC Nice are enjoying a positive run, taking 12 points from the last five recorded matches in Ligue 1. Their attack is productive, with 12 goals scored against 6 conceded. More matches this season are needed to confirm this trend.

Ligue 1 · 2026-2027 · 9 matches analyzed

View analyzed match details
Matches analyzed (up to 5)
DateGoals scoredGoals concededPoints
213
120
213
523
203

1. How Foresportia evaluates OGC Nice

Summary of indicators actually available in Foresportia data.

1513Foresportia EloLigue 1 rank : 8th
1.551X2 entropyLower = easier to read
1.20Points volatilityStandard deviation over 5 matches
2.40Recent formpoints / match
49.4%Model confidenceAverage over 10 predictions

2. Next match

Ligue 1

OGC NiceElo : 1552
VS
Paris Saint-GermainElo : 1738
1X2 probabilities (Foresportia model)
19%25%56%
OGC Nice 19%Draw 25%Paris Saint-Germain 56%
Main signalAway win · 56%
Model confidence53.1%
StabilityRisk
View match details →

3. Prediction reliability for OGC Nice

Data updated on 14 November 2026

Reliability trendCumulative monthly history
Insufficient sample
Cumulative monthly historyProfileReliabilityVolume
2024-08RiskInsufficient sample2
2024-09RiskInsufficient sample5
2024-10RiskInsufficient sample8
2024-11Risk50.0%10
2024-12Risk53.8%13
2025-01Risk58.8%17
2025-02Risk60.0%20
2025-03Risk56.5%23
2025-04Risk50.0%26
2025-05Risk53.6%28
2025-08Risk50.0%30
2025-09Risk50.0%32
2025-10Risk51.4%35
2025-11Risk50.0%38
2025-12Risk50.0%38
2026-01Risk51.2%41
2026-02Risk47.7%44
2026-03Risk48.9%47
2026-04Risk47.1%51
2026-05Risk44.4%54
2026-08Risk42.9%56
2026-09Risk41.4%58
2026-10Risk43.5%62
2026-11Risk44.4%63
2024-08Correct and aboveInsufficient sample0
2024-09Correct and aboveInsufficient sample1
2024-10Correct and aboveInsufficient sample1
2024-11Correct and aboveInsufficient sample2
2024-12Correct and aboveInsufficient sample2
2025-01Correct and aboveInsufficient sample2
2025-02Correct and aboveInsufficient sample3
2025-03Correct and aboveInsufficient sample4
2025-04Correct and aboveInsufficient sample5
2025-05Correct and aboveInsufficient sample6
2025-08Correct and aboveInsufficient sample7
2025-09Correct and aboveInsufficient sample8
2025-10Correct and aboveInsufficient sample9
2025-11Correct and above90.0%10
2025-12Correct and above83.3%12
2026-01Correct and above83.3%12
2026-02Correct and above84.6%13
2026-03Correct and above85.7%14
2026-04Correct and above85.7%14
2026-05Correct and above80.0%15
2026-08Correct and above80.0%15
2026-09Correct and above80.0%15
2026-10Correct and above80.0%15
2026-11Correct and above80.0%15
2024-08Stable and aboveInsufficient sample0
2024-09Stable and aboveInsufficient sample0
2024-10Stable and aboveInsufficient sample0
2024-11Stable and aboveInsufficient sample0
2024-12Stable and aboveInsufficient sample0
2025-01Stable and aboveInsufficient sample0
2025-02Stable and aboveInsufficient sample0
2025-03Stable and aboveInsufficient sample0
2025-04Stable and aboveInsufficient sample0
2025-05Stable and aboveInsufficient sample0
2025-08Stable and aboveInsufficient sample0
2025-09Stable and aboveInsufficient sample0
2025-10Stable and aboveInsufficient sample0
2025-11Stable and aboveInsufficient sample1
2025-12Stable and aboveInsufficient sample1
2026-01Stable and aboveInsufficient sample1
2026-02Stable and aboveInsufficient sample1
2026-03Stable and aboveInsufficient sample1
2026-04Stable and aboveInsufficient sample1
2026-05Stable and aboveInsufficient sample1
2026-08Stable and aboveInsufficient sample1
2026-09Stable and aboveInsufficient sample1
2026-10Stable and aboveInsufficient sample1
2026-11Stable and aboveInsufficient sample1
2024-08Ultra stableInsufficient sample0
2024-09Ultra stableInsufficient sample0
2024-10Ultra stableInsufficient sample0
2024-11Ultra stableInsufficient sample0
2024-12Ultra stableInsufficient sample0
2025-01Ultra stableInsufficient sample0
2025-02Ultra stableInsufficient sample0
2025-03Ultra stableInsufficient sample0
2025-04Ultra stableInsufficient sample0
2025-05Ultra stableInsufficient sample0
2025-08Ultra stableInsufficient sample0
2025-09Ultra stableInsufficient sample0
2025-10Ultra stableInsufficient sample0
2025-11Ultra stableInsufficient sample1
2025-12Ultra stableInsufficient sample1
2026-01Ultra stableInsufficient sample1
2026-02Ultra stableInsufficient sample1
2026-03Ultra stableInsufficient sample1
2026-04Ultra stableInsufficient sample1
2026-05Ultra stableInsufficient sample1
2026-08Ultra stableInsufficient sample1
2026-09Ultra stableInsufficient sample1
2026-10Ultra stableInsufficient sample1
2026-11Ultra stableInsufficient sample1

4. Predictive profile for OGC Nice

ContextObserved measureReading
Home performance1.76 pts/matchHigher observed return
Away performance1.05 pts/matchLower observed return

5. Statistical markers for OGC Nice

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

Expected goals created at home1.05
Expected goals conceded at home0.86
Expected goals created away0.98
Expected goals conceded away0.89
Goals scored / match (5)2.40
Goals conceded / match (5)1.20

History: 78 verified matches

6. Market signals for OGC Nice

MarketAverage probabilityReliabilityVolumeReading
Double chance 1X68.0%84.6%26Major, well-documented signal
Double chance 1271.2%59.3%27Success below the average probability
Double chance X265.6%59.1%22Recurring signal
Both teams to score54.0%58.8%17Recurring signal
Under 2.558.7%56.2%16Recurring signal

7. Model dynamics & analysis

Foresportia Elo trendTracks the team’s relative level as matches are played.
OGC Nice
Average model confidenceShows how the model’s average certainty changes across matches.
OGC Nice
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, OGC Nice 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.

OGC Nice is going through a strong control sequence, with 2.40 points per match over the last five matches and an average xG delta of 0.05.

The next detected match is OGC Nice vs Paris Saint-Germain on . The leading 1X2 read currently points to “Away win” around 56%.

AI verdictHigh predictive reliability

Correct and above: 80.0% success across 15 verified 1X2 predictions.

Verify the complete history →

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

9. OGC Nice FAQ

What is the next match for OGC Nice on Foresportia?

This page shows OGC Nice's confirmed next match with the enriched prediction probabilities that are currently available.

How should you read OGC Nice's ranking and Elo?

This page includes dedicated charts for OGC Nice's ranking and Elo trends, with season separators to make the evolution easier to read.

What does the strongest picks block mean for OGC Nice?

It highlights the markets that performed best in the available history for OGC Nice, together with sample size, hit rate and average probability.

OGC Nice: AI analysis, predictions and Foresportia signals

For Foresportia, OGC Nice 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.

OGC Nice is going through a strong control sequence, with 2.40 points per match over the last five matches and an average xG delta of 0.05.

The next detected match is OGC Nice vs Paris Saint-Germain on . The leading 1X2 read currently points to “Away win” around 56%.