England Non League Div One - Northern Midlands Predictions Today

England • Season 2025

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Non League Div One - Northern Midlands

Non League Div One - Northern Midlands

England

England

2025
Northern Midlands - 42

22

Teams

462

Matches

2.79

Avg Goals

22 teams

Cards

Table

1
Anstey Nomads

Anstey Nomads

42 games

92

pts

2
Carlton Town

Carlton Town

42 games

90

pts

3
Basford United

Basford United

42 games

69

pts

4
Belper Town

Belper Town

42 games

68

pts

5
Racing Club Warwick

Racing Club Warwick

42 games

65

pts

6
Coleshill Town

Coleshill Town

42 games

64

pts

7
Shepshed Dynamo

Shepshed Dynamo

42 games

63

pts

8
Lichfield City

Lichfield City

42 games

60

pts

9
Wellingborough Town

Wellingborough Town

42 games

58

pts

10
Long Eaton United

Long Eaton United

42 games

58

pts

11
Sutton Coldfield Town

Sutton Coldfield Town

42 games

57

pts

12
AFC Rushden & Diamonds

AFC Rushden & Diamonds

42 games

55

pts

13
Corby Town

Corby Town

42 games

55

pts

14
Boldmere St. Michaels

Boldmere St. Michaels

42 games

54

pts

15
Mickleover Sports

Mickleover Sports

42 games

53

pts

16
Rugby Borough

Rugby Borough

42 games

52

pts

17
Loughborough University

Loughborough University

42 games

52

pts

18
Bedworth United

Bedworth United

42 games

50

pts

19
Bourne Town

Bourne Town

42 games

43

pts

20
St Neots Town

St Neots Town

42 games

43

pts

21
Coventry Sphinx

Coventry Sphinx

42 games

41

pts

22
Rugby Town

Rugby Town

42 games

35

pts

Qualification/Relegation:

Promotion
Promotion Playoff
Relegation

Data refreshed on page load

Non League Div One - Northern Midlands Predictions Today

Our AI analyses every Non League Div One - Northern Midlands fixture to provide expert predictions and betting tips. View the latest England Non League Div One - Northern Midlands match predictions with win probabilities, head-to-head statistics, and insights for the 2025 season. All Non League Div One - Northern Midlands tips are updated daily with the latest team form and statistical data.