Excelsior Rotterdam

NetherlandsEredivisie2026-2027

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

Foresportia Elo

1505Eredivisie rank : 9th

1X2 entropy

1.45Lower = easier to read

Points volatility

1.26Standard deviation over 5 matches

Recent form

2.00Points per match over 5 matches

Model confidence

52.3%Average over 10 predictions

1. How Foresportia evaluates Excelsior Rotterdam

Summary of indicators actually available in Foresportia data.

1505Foresportia EloEredivisie rank : 9th

1.451X2 entropyLower = easier to read

1.26Points volatilityStandard deviation over 5 matches

2.00Recent formpoints / match

52.3%Model confidenceAverage over 10 predictions

2. Next match

Eredivisie
08 September 2026 · 18:45

NEC NijmegenElo : 1587

Excelsior RotterdamElo : 1538

1X2 probabilities (Foresportia model)

46%28%26%

NEC Nijmegen 46%Draw 28%Excelsior Rotterdam 26%

Main signalHome win · 46%

Model confidence53.4%

StabilityRisk

View match details →

3. Prediction reliability for Excelsior Rotterdam

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	90.0%	10
2025-11	Risk	69.2%	13
2025-12	Risk	66.7%	15
2026-01	Risk	62.5%	16
2026-02	Risk	55.0%	20
2026-03	Risk	56.5%	23
2026-04	Risk	52.0%	25
2026-05	Risk	46.4%	28
2026-08	Risk	44.8%	29
2025-08	Correct and above	Insufficient sample	0
2025-09	Correct and above	Insufficient sample	0
2025-10	Correct and above	Insufficient sample	0
2025-11	Correct and above	Insufficient sample	1
2025-12	Correct and above	Insufficient sample	1
2026-01	Correct and above	Insufficient sample	4
2026-02	Correct and above	Insufficient sample	4
2026-03	Correct and above	Insufficient sample	5
2026-04	Correct and above	Insufficient sample	6
2026-05	Correct and above	Insufficient sample	6
2026-08	Correct and above	Insufficient sample	7
2025-08	Stable and above	Insufficient sample	0
2025-09	Stable and above	Insufficient sample	0
2025-10	Stable and above	Insufficient sample	0
2025-11	Stable and above	Insufficient sample	0
2025-12	Stable and above	Insufficient sample	0
2026-01	Stable and above	Insufficient sample	1
2026-02	Stable and above	Insufficient sample	1
2026-03	Stable and above	Insufficient sample	2
2026-04	Stable and above	Insufficient sample	2
2026-05	Stable and above	Insufficient sample	2
2026-08	Stable and above	Insufficient sample	2
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	0
2025-12	Ultra stable	Insufficient sample	0
2026-01	Ultra stable	Insufficient sample	1
2026-02	Ultra stable	Insufficient sample	1
2026-03	Ultra stable	Insufficient sample	2
2026-04	Ultra stable	Insufficient sample	2
2026-05	Ultra stable	Insufficient sample	2
2026-08	Ultra stable	Insufficient sample	2

4. Predictive profile for Excelsior Rotterdam

ContextObserved measureReading

Home performance1.11 pts/matchComparable return

Away performance1.18 pts/matchComparable return

5. Statistical markers for Excelsior Rotterdam

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

Expected goals created at home0.79

Expected goals conceded at home0.95

Expected goals created away1.07

Expected goals conceded away1.17

Goals scored / match (5)2.00

Goals conceded / match (5)1.60

History: 36 verified matches

6. Market signals for Excelsior Rotterdam

MarketAverage probabilityReliabilityVolumeReading

Double chance X267.3%82.4%17Major, well-documented signal

Double chance 1273.9%77.8%18Major, well-documented signal

Over 2.556.9%75.0%8Promising signal, limited sample

Both teams to score57.8%66.7%9Promising signal, limited sample

Away draw no bet62.9%58.3%12Recurring signal

7. Model dynamics & analysis

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

Excelsior Rotterdam

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

Excelsior Rotterdam

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, Excelsior Rotterdam 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.

Excelsior Rotterdam is going through a strong control sequence, with 2.00 points per match over the last five matches and an average xG delta of 0.14.

The next detected match is NEC Nijmegen vs Excelsior Rotterdam on 08 September 2026 at 18:45. The leading 1X2 read currently points to “Home win” around 46%.

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

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

9. Excelsior Rotterdam FAQ

What is the next match for Excelsior Rotterdam on Foresportia?

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

How should you read Excelsior Rotterdam's ranking and Elo?

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

What does the strongest picks block mean for Excelsior Rotterdam?

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