Logo Al-Nassr

Al-Nassr

Saudi ArabiaSaudi Pro League2026-2027

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

Foresportia Elo
1752Saudi Pro League rank : 2nd
1X2 entropy
1.26Lower = easier to read
Points volatility
1.26Standard deviation over 5 matches
Recent form
2.00Points per match over 5 matches
Model confidence
58.1%Average over 10 predictions

Current analysis: Al-Nassr

Al-Nassr are enjoying a positive run, taking 10 points from the last five recorded matches in Saudi Pro League. Their attack is productive, with 11 goals scored against 7 conceded. More matches this season are needed to confirm this trend.

Saudi Pro League · 2026-2027 · 9 matches analyzed

View analyzed match details
Matches analyzed (up to 5)
DateGoals scoredGoals concededPoints
120
111
103
313
533

1. How Foresportia evaluates Al-Nassr

Summary of indicators actually available in Foresportia data.

1752Foresportia EloSaudi Pro League rank : 2nd
1.261X2 entropyLower = easier to read
1.26Points volatilityStandard deviation over 5 matches
2.00Recent formpoints / match
58.1%Model confidenceAverage over 10 predictions

2. Next match

Saudi Pro League

Al-Ahli JeddahElo : 1591
VS
Al-NassrElo : 1643
1X2 probabilities (Foresportia model)
33%26%40%
Al-Ahli Jeddah 33%Draw 26%Al-Nassr 40%
Main signalAway win · 40%
Model confidence45.5%
StabilityRisk
View match details →

3. Prediction reliability for Al-Nassr

Data updated on 14 November 2026

Reliability trendCumulative monthly history
Insufficient sample
Cumulative monthly historyProfileReliabilityVolume
2026-04RiskInsufficient sample2
2026-05RiskInsufficient sample4
2026-08RiskInsufficient sample5
2026-09RiskInsufficient sample6
2026-10RiskInsufficient sample6
2026-04Correct and aboveInsufficient sample0
2026-05Correct and aboveInsufficient sample2
2026-08Correct and aboveInsufficient sample5
2026-09Correct and aboveInsufficient sample6
2026-10Correct and aboveInsufficient sample9
2026-04Stable and aboveInsufficient sample0
2026-05Stable and aboveInsufficient sample0
2026-08Stable and aboveInsufficient sample1
2026-09Stable and aboveInsufficient sample1
2026-10Stable and aboveInsufficient sample2
2026-04Ultra stableInsufficient sample0
2026-05Ultra stableInsufficient sample0
2026-08Ultra stableInsufficient sample1
2026-09Ultra stableInsufficient sample1
2026-10Ultra stableInsufficient sample2

4. Predictive profile for Al-Nassr

ContextObserved measureReading
Home performance2.75 pts/matchHigher observed return
Away performance1.86 pts/matchLower observed return

5. Statistical markers for Al-Nassr

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

Expected goals created at home1.62
Expected goals conceded at home0.69
Expected goals created away1.74
Expected goals conceded away0.69
Goals scored / match (5)2.20
Goals conceded / match (5)1.40

History: 15 verified matches

6. Market signals for Al-Nassr

MarketAverage probabilityReliabilityVolumeReading
Double chance 1X79.2%100.0%12Success above the average probability
Home draw no bet82.6%100.0%9Promising signal, limited sample
Home win66.4%100.0%8Promising signal, limited sample
Double chance 1277.0%88.2%17Major, well-documented signal
Over 2.559.0%70.6%17Success above the average probability

7. Model dynamics & analysis

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

Al-Nassr is going through a strong control sequence, with 2.00 points per match over the last five matches and an average xG delta of 2.17.

The next detected match is Al-Ahli Jeddah vs Al-Nassr on . The leading 1X2 read currently points to “Away win” around 40%.

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

9. Al-Nassr FAQ

What is the next match for Al-Nassr on Foresportia?

This page shows Al-Nassr's confirmed next match with the enriched prediction probabilities that are currently available.

How should you read Al-Nassr's ranking and Elo?

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

What does the strongest picks block mean for Al-Nassr?

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

Al-Nassr: AI analysis, predictions and Foresportia signals

For Foresportia, Al-Nassr 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.

Al-Nassr is going through a strong control sequence, with 2.00 points per match over the last five matches and an average xG delta of 2.17.

The next detected match is Al-Ahli Jeddah vs Al-Nassr on . The leading 1X2 read currently points to “Away win” around 40%.