Netherlands EredivisieFT15 Sept
AFC Ajax
Willem II1X1.01
12—
X28.40
12
RatingHigh
5-1
Form:
HWLWDW
ADLDLL
Goals:3.9
Correct Score:3-1
Past Football Predictions
Netherlands EredivisieAFC AjaxWillem IINetherlands EredivisieFT9 Sept
FC Twente
SC Telstar1X1.05
12—
X23.95
1X
RatingHigh
1-0
Form:
HDWWLL
ADLLWW
Goals:3.15
Correct Score:2-1
Netherlands EredivisieFT8 Sept
Nijmegen Eendracht Combinatie
SBV Excelsior1X1.20
12—
X22.22
X2
RatingHigh
2-2
Form:
HLWWLW
AWWLWW
Goals:3.83
Correct Score:0-3
LEAGUE STATISTICS
2026/27Eredivisie Team Statistics
Current-season team performance, scoring and defensive trends.
| Team | MP | W | D | L | GF | GA | Win %▼ | BTTS↕ | O2.5↕ | CS↕ | |
|---|---|---|---|---|---|---|---|---|---|---|---|
 alkmaar-zaanstreek | 7 | 6 | 1 | 0 | 18 | 6 | 86% | 57% | 43% | 43% | NaN |
 psv-eindhoven | 7 | 5 | 1 | 1 | 24 | 10 | 71% | 100% | 100% | 0% | NaN |
 feyenoord-rotterdam | 7 | 5 | 2 | 0 | 25 | 7 | 71% | 57% | 86% | 43% | NaN |
 fc-twente | 7 | 5 | 1 | 1 | 15 | 7 | 71% | 57% | 57% | 29% | NaN |
 fortuna-sittard | 7 | 4 | 1 | 2 | 13 | 14 | 57% | 71% | 71% | 14% | NaN |
 afc-ajax | 7 | 4 | 2 | 1 | 21 | 9 | 57% | 71% | 86% | 29% | NaN |
 fc-groningen | 7 | 3 | 2 | 2 | 15 | 13 | 43% | 86% | 86% | 14% | NaN |
 sbv-excelsior | 7 | 3 | 2 | 2 | 15 | 9 | 43% | 71% | 100% | 29% | NaN |
 nijmegen-eendracht-combinatie | 7 | 2 | 2 | 3 | 12 | 13 | 29% | 86% | 86% | 0% | NaN |
 go-ahead-eagles | 7 | 2 | 4 | 1 | 16 | 14 | 29% | 100% | 71% | 0% | NaN |
 sc-heerenveen | 7 | 2 | 3 | 2 | 11 | 9 | 29% | 43% | 57% | 43% | NaN |
 sparta-rotterdam | 7 | 1 | 2 | 4 | 10 | 17 | 14% | 71% | 86% | 0% | NaN |
 fc-utrecht | 7 | 1 | 2 | 4 | 11 | 24 | 14% | 86% | 100% | 0% | NaN |
 sc-telstar | 7 | 1 | 2 | 4 | 5 | 12 | 14% | 43% | 57% | 14% | NaN |
 pec-zwolle | 7 | 1 | 1 | 5 | 6 | 20 | 14% | 43% | 71% | 14% | NaN |
 sc-cambuur-leeuwarden | 7 | 1 | 2 | 4 | 10 | 19 | 14% | 71% | 86% | 14% | NaN |
 hfc-ado-den-haag | 7 | 0 | 2 | 5 | 7 | 17 | 0% | 71% | 57% | 0% | NaN |
 willem-ii | 7 | 0 | 2 | 5 | 6 | 20 | 0% | 71% | 71% | 0% | NaN |
LEAGUE GUIDE
About Eredivisie Predictions
BetGenuine provides data-driven Eredivisie predictions using team form, scoring trends, defensive performance, match statistics and probability-based analysis. The statistics and upcoming match data on this page relate to the 2026/27 season where available.
Eredivisie Predictions
The prediction section covers upcoming matches with estimated probabilities, suggested markets, available bookmaker odds and expected match outcomes. Predictions are generated from available data and should be treated as probability estimates rather than guaranteed results.
Team Form & Match Trends
Recent form helps show how both teams have performed before an upcoming fixture. Depending on the selected market, the form indicators can represent wins, draws and losses, goal trends, both teams to score or match trends from recent matches.
League Statistics
The league statistics table compares teams using current-season data such as matches played, wins, goals, clean sheets, BTTS percentage, over 2.5 goals rate and average corners. The sortable columns make it easier to identify teams with particularly strong statistical trends.
Prediction Markets
You can explore different football prediction markets including 1X2, goals, both teams to score, double chance and correct score. Market availability can vary depending on the fixture and the underlying data available.
Understanding the Statistics
Win %Percentage of league matches the team has won.
BTTSPercentage of matches where both teams scored.
O2.5Percentage of matches ending with three or more total goals.
CSClean-sheet percentage — matches where the team conceded no goals.
How to Use This Page
Start with the upcoming predictions, compare each selection with the recent form indicators and then use the league statistics table to understand the wider performance trend. A strong probability alone should not be used in isolation; form, opposition, available odds and sample size should also be considered.
Important: Football predictions are statistical estimates. Match outcomes can be affected by team selection, injuries, red cards, tactical changes and other events that cannot always be predicted in advance.
How Football Predictions Work
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Data Analysis
We analyse team statistics, recent form, scoring and defensive trends, home and away performance and available match information.
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Probability Model
Our model converts team and match data into probabilities across the supported prediction markets.
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Prediction Rating
BetGenuine Rating is based on the Last-6 PPG gap. A gap of 0.00–0.24 is Low; 0.25–0.49 gives the higher-PPG team a Low-rated Double Chance; 0.50–0.75 gives the higher-PPG team a Low-rated win; 0.76–1.49 is Normal; 1.50–1.99 is High; and 2.00+ is Very High.
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Smart Betting
Use probability, confidence, form and available odds together to make informed decisions. No prediction should be treated as guaranteed.