National League Predictions

This Week's Fixtures

FC Halifax Town v Yeovil Town

England · National League Sat 31 Oct, 12:30 UTC

Both teams to score · 61% model probability · odds 1.57

Model Goals 3.0 BTTS 61% O2.5 58%

Scores 1-1 11.1% 2-1 8.4% 1-2 8.2%

Odds Home 2.05 Draw 3.60 Away 3.10 BTTS 1.57 O2.5 1.65

Forest Green v Harrogate Town

England · National League Sat 31 Oct, 12:30 UTC

Both teams to score · 62% model probability · odds 1.53

Model Goals 3.0 Corners 8.7 (4.4H · 4.2A) Cards 4.1 BTTS 62% O2.5 59%

Scores 1-1 12.4% 2-1 9.2% 1-0 7.5%

Odds Home 2.45 Draw 3.60 Away 2.55 BTTS 1.53 O2.5 1.62

Aldershot Town v Gateshead

England · National League Sat 31 Oct, 15:00 UTC

Aldershot Town to win · 61% model probability · odds 1.53

Model Goals 3.2 BTTS 58% O2.5 61%

Scores 1-1 10.6% 2-1 9.3% 1-2 6.7%

Odds Home 1.53 Draw 4.00 Away 5.00 BTTS 1.67 O2.5 1.57

Altrincham v Carlisle

England · National League Sat 31 Oct, 15:00 UTC

Both teams to score · 63% model probability · odds 1.50

Model Goals 3.1 BTTS 63% O2.5 60%

Scores 1-1 14.1% 0-0 9.4% 0-1 9.3%

Odds Home 2.88 Draw 3.60 Away 2.20 BTTS 1.50 O2.5 1.57

Barrow v Eastleigh

England · National League Sat 31 Oct, 15:00 UTC

Barrow to win · 63% model probability · odds 1.48

Model Goals 3.1 BTTS 55% O2.5 59%

Scores 1-1 13.8% 1-0 11.7% 0-0 10.2%

Odds Home 1.48 Draw 4.20 Away 5.50 BTTS 1.70 O2.5 1.57

Boreham Wood v Hartlepool

England · National League Sat 31 Oct, 15:00 UTC

Boreham Wood to win · 75% model probability · odds 1.25

Model Goals 3.6 BTTS 54% O2.5 69%

Scores 2-1 9.2% 1-1 7.9% 3-1 7.8%

Odds Home 1.25 Draw 5.25 Away 8.00 BTTS 1.70 O2.5 1.40

Solihull Moors v Kidderminster Harriers

England · National League Sat 31 Oct, 15:00 UTC

Both teams to score · 60% model probability · odds 1.57

Model Goals 2.9 BTTS 60% O2.5 56%

Scores 1-1 11% 1-2 9.9% 0-2 9.1%

Odds Home 2.45 Draw 3.50 Away 2.50 BTTS 1.57 O2.5 1.70

Tamworth v Woking

England · National League Sat 31 Oct, 15:00 UTC

Both teams to score · 65% model probability · odds 1.44

Model Goals 3.3 BTTS 65% O2.5 63%

Scores 1-1 12.2% 2-1 8.8% 1-2 8%

Odds Home 2.20 Draw 3.70 Away 2.75 BTTS 1.44 O2.5 1.50

Wealdstone v Southend

England · National League Sat 31 Oct, 15:00 UTC

Southend to win · 54% model probability · odds 1.73

Model Goals 3.5 BTTS 66% O2.5 67%

Scores 1-1 9.4% 1-2 9.2% 2-2 6.6%

Odds Home 3.80 Draw 4.00 Away 1.73 BTTS 1.44 O2.5 1.44

Worthing v Sutton Utd

England · National League Sat 31 Oct, 15:00 UTC

Both teams to score · 61% model probability · odds 1.57

Model Goals 3.1 BTTS 61% O2.5 61%

Scores 1-1 11.3% 2-1 9.9% 2-0 9.3%

Odds Home 1.85 Draw 3.75 Away 3.50 BTTS 1.57 O2.5 1.57

Boston United v Scunthorpe

England · National League Sat 31 Oct, 17:30 UTC

Both teams to score · 66% model probability · odds 1.44

Model Goals 3.3 BTTS 66% O2.5 64%

Scores 1-1 12.7% 1-2 8.7% 2-1 8%

Odds Home 2.38 Draw 3.70 Away 2.45 BTTS 1.44 O2.5 1.48

Gateshead v Tamworth

England · National League Sat 7 Nov, 15:00 UTC

Tamworth to win · 55% model probability · odds 1.62

Model BTTS 61% O2.5 61%

Odds Home 4.20 Draw 4.00 Away 1.62 O2.5 1.57

Current Table

#TeamPWDLGDPtsForm
1 Boreham Wood 15 13 2 0 26 41 WWWWW
2 Harrogate Town 15 10 1 4 11 31 LWWWW
3 Southend 15 8 5 2 12 29 DDWWD
4 AFC Fylde 16 9 2 5 6 29 WWLWL
5 Yeovil Town 15 8 4 3 17 28 WLWWD
6 Worthing 15 8 4 3 10 28 DWWWD
7 Altrincham 15 9 1 5 2 28 DWWLW
8 Barrow 14 7 3 4 7 24 WWWWW
9 Carlisle 15 6 5 4 7 23 WWDWW
10 FC Halifax Town 15 6 3 6 6 21 LDWWD
11 Kidderminster Harriers 15 5 6 4 2 21 DLDDL
12 Sutton Utd 15 6 3 6 -4 21 WLLDL
13 AFC Hornchurch 16 7 0 9 -8 21 LLLWL
14 Woking 15 5 3 7 0 18 LWLWL
15 Forest Green 13 5 3 5 -1 18 WLDDL
16 Aldershot Town 15 5 3 7 -1 18 LLLLL
17 Eastleigh 15 5 3 7 -6 18 LWLLD
18 Tamworth 14 5 2 7 -6 17 WLWWL
19 Wealdstone 15 4 3 8 -7 15 LWLLD
20 Hartlepool 15 5 0 10 -8 15 LWWLL
21 Boston United 15 4 3 8 -9 15 WLLLD
22 Scunthorpe 14 3 1 10 -10 10 LLLLW
23 Solihull Moors 15 3 1 11 -22 10 WLLLW
24 Gateshead 14 1 1 12 -24 4 LLLLL

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Betting the National League in 2026/27

The National League is the deepest division we cover, and it is unlike everything above it. The fifth tier mixes full-time former Football League clubs with part-time sides, budgets that differ by an order of magnitude, and squads that can turn over almost entirely in a summer. It is also where bookmaker coverage is at its thinnest: prices go up later, move on small money, and carry wider margins. That combination — high variance football and low-attention markets — is why we track it at all.

The football itself is attritional. Goals sit in the mid-2s, the draw rate is high in the way of all lower-league English football, and home advantage is among the strongest in the country — long trips, tight grounds and surfaces that punish passing sides all contribute. Big-budget relegated clubs do not simply walk through this division, and the market's habit of pricing them as if they will is one of the most persistent inefficiencies we see anywhere.

How the model handles it

Data is the constraint. Fifth-tier matches generate less statistical depth than Football League fixtures, so the model works primarily from results, goals and opposition-adjusted ratings rather than the richer inputs available higher up. It compensates by demanding a larger edge before publishing: a National League selection has to clear a wider margin between model probability and market price than a Premier League one, precisely because the underlying estimate carries more uncertainty.

That discipline matters most in the season's opening weeks. Squad turnover at this level makes August ratings genuinely provisional, and the model stays deliberately quiet until current-season results accumulate. From mid-autumn, when its ratings reflect the actual teams on the pitch rather than last season's, the National League becomes one of our most productive divisions relative to fixtures played.

Expect selections concentrated in the match result and goals markets, with the occasional generously priced draw. Every pick is archived at kickoff, settled at the odds available when published, and recorded on the model results page — the losses as prominently as the wins.