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Netherlands Eredivisie Match Predictions & Statistical Analysis

Last Updated: Wednesday, 20 May 2026

Netherlands football has developed into a highly competitive and closely contested landscape. As the top competition, the Eredivisie draws consistent attention from fans and analysts. We break down key metrics such as scoring patterns, defensive records, and recent performances.

Form Prediction Result Confidence %
Round 34
AZ Alkmaar NAC Breda 2026-05-17
DDDWD
LLDD
1 3:3 92.98%
FC Volendam Telstar 2026-05-17
DLW
WDWLL
1X 1:2 66.45%
Heerenveen Ajax 2026-05-17
WWLWD
LDWWL
X2 0:0 73.75%
Heracles Groningen 2026-05-17
LLL
WLLDW
2 DNB 1:2 97.89%
Nijmegen G.A. Eagles 2026-05-17
LDDLD
LDDDW
1 2:1 61.19%
PSV Twente 2026-05-17
WDWWW
WDDWW
1X 5:1 61.98%
Sparta Rotterdam Excelsior 2026-05-17
LDLLD
DWWDL
X2 2:3 92.76%
Utrecht Sittard 2026-05-17
WWL
WLLDL
1 2:0 81.34%
Zwolle Feyenoord 2026-05-17
LWLDL
DWWDD
2 DNB 0:2 88.2%

Previous Predictions

Form Prediction Result Confidence %
Round 33
Ajax Utrecht 2026-05-10
DWWLD
WL
1 DNB 1:2 75.75%
Excelsior FC Volendam 2026-05-10
WWDL
LW
1 DNB 1:1 62.25%
Feyenoord AZ Alkmaar 2026-05-10
WWDDD
DDWDW
1 DNB 1:1 51.39%
G.A. Eagles PSV 2026-05-10
DDDWL
DWWWL
2 DNB 1:4 75.64%
Groningen Nijmegen 2026-05-10
LLDWW
DDLDW
X2 2:1 50.69%
NAC Breda Heerenveen 2026-05-10
LLDD
WWLWD
X2 95.05%
Sittard Zwolle 2026-05-10
LLDLL
WLDL
1X 3:2 66.94%
Telstar Heracles 2026-05-10
DWLLW
LL
1 3:0 84.7%
Twente Sparta Rotterdam 2026-05-10
DDWWW
DLLD
1 4:0 93.93%
Round 32
Sittard Feyenoord 2026-05-03
LDLLW
WDDDW
2 1:2 82.33%
AZ Alkmaar Twente 2026-05-03
DWDWL
DWWWL
1X 2:2 63.93%
Sparta Rotterdam G.A. Eagles 2026-05-03
LLD
DDWLW
X2 2:2 91.25%
Groningen Excelsior 2026-05-02
LDWWD
WDL
1 DNB 2:3 69.94%
Ajax PSV 2026-05-02
WWLDW
WWWLL
X2 2:2 72.11%
Nijmegen Telstar 2026-05-02
DLDWD
WLLWL
1 1:1 75.75%
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Quick Guide for Beginners
  • 1: Home Win | X: Draw | 2: Away Win
  • 1X: Home Win or Draw | X2: Away Win or Draw
  • DNB: Draw No Bet (Stake returned if match ends in a draw)

Our methodology

We generate Eredivisie predictions using structured statistical models and match data. Models like Linear Regression are used to identify relationships within performance data. Team form, scoring efficiency, and defensive organization are key inputs. This helps present each match from a data-informed perspective.

Linear regression Goal efficiency Defensive rating Recent form

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