the model's favourite Huddersfield 60% 1.45
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Over 2.5 65% at 1.41 · Both to score 60%
Huddersfield out: Lasse Sorensen
Peterborough out: Tom O'Connor, Rio Adebisi, Sam Hughes, Matthew Garbett, Declan Frith
The desk's card on this game is in Pro.
Free League One predictions: the model's favourite on every fixture with the best price beside it, and the model's calls graded on the public record, misses included.
38 League One matches in the next 16 days
the model's favourite Huddersfield 60% 1.45
Over 2.5 65% at 1.41 · Both to score 60%
Huddersfield out: Lasse Sorensen
Peterborough out: Tom O'Connor, Rio Adebisi, Sam Hughes, Matthew Garbett, Declan Frith
The desk's card on this game is in Pro.
the model's favourite Luton 58% 1.53
Over 2.5 60% at 1.44 · Both to score 63%
Luton out: Benny Benagr, Shayden Morris, Jayden Luker, Gideon Kodua, Sverre Sandal, Shandon Baptiste
Barnsley out: Ben Hamed Toure, Ziyad Larkeche
The desk's card on this game is in Pro.
the model's favourite Leicester 54% 1.79
Over 2.5 51% · Both to score 45%
The desk's card on this game is in Pro.
The model's number is free on every game. FBB Pro adds the desk's grade on every market and the singles we'd pick ourselves. Seven days for £1. 18+. BeGambleAware.org
the model's favourite Stockport County 48% 2.07
Over 2.5 41% · Both to score 48%
Stockport County out: Brad Hills, Adama Sidibeh
The desk's card on this game is in Pro.
the model's favourite Bradford 45% 2.18
Over 2.5 41% · Both to score 44%
Bradford out: Tyreik Wright, Josh Neufville
The desk's card on this game is in Pro.
the model's favourite Sheffield Wednesday 43% 2.55
Over 2.5 49% · Both to score 45%
The desk's card on this game is in Pro.
the model's favourite Mansfield Town 41% 2.50
Over 2.5 32% · Both to score 29%
The desk's card on this game is in Pro.
the model's favourite Blackpool 40% 2.20
Over 2.5 62% at 1.70 · Both to score 65%
The desk's card on this game is in Pro.
the model's favourite Cambridge United 40% 2.10
Over 2.5 60% at 1.67 · Both to score 61%
The desk's card on this game is in Pro.
Over 2.5 55% · Both to score 51%
Plymouth out: Oseni, Baidoo
The desk's card on this game is in Pro.
Over 2.5 36% · Both to score 47%
Oxford United out: McDonnell
The desk's card on this game is in Pro.
Over 2.5 59% · Both to score 52%
Over 2.5 39% · Both to score 42%
Over 2.5 39% · Both to score 48%
Over 2.5 56% · Both to score 52%
Over 2.5 54% · Both to score 48%
Over 2.5 50% · Both to score 47%
Over 2.5 68% · Both to score 54%
Over 2.5 35% · Both to score 46%
Over 2.5 59% · Both to score 52%
Over 2.5 63% · Both to score 50%
Over 2.5 40% · Both to score 47%
Over 2.5 36% · Both to score 49%
Over 2.5 42% · Both to score 44%
Over 2.5 42% · Both to score 44%
Over 2.5 39% · Both to score 42%
Over 2.5 52% · Both to score 49%
Over 2.5 51% · Both to score 46%
Over 2.5 34% · Both to score 47%
Over 2.5 56% · Both to score 52%
Over 2.5 65% · Both to score 57%
Over 2.5 67% · Both to score 55%
Over 2.5 56% · Both to score 48%
Over 2.5 70% · Both to score 68%
Over 2.5 39% · Both to score 52%
Over 2.5 49% · Both to score 43%
Over 2.5 49% · Both to score 52%
Over 2.5 42% · Both to score 51%
League One is genuinely hard to model and we'd rather say so than dress it up. Squad budgets swing by a factor of five inside the same division, lineup news lands an hour before kickoff instead of the Premier League's full afternoon, and the goals-per-game distribution is wider than the top two flights. Our League One model leans more heavily on home/away splits and recent form than on expected-goals, partly because the underlying-numbers feed is sparser here, partly because the form-vs-class gap is wider in the third tier. Below: every upcoming League One fixture with model probabilities for match result, BTTS and over/under 2.5 goals. Each fixture page shows who is missing, the form, the head to head and every priced market. The honest answer to 'should I trust these' is the record: every call the model makes is graded in public, misses included, on the track record page. The volatility at this level cuts both ways.
Last 5 results in the league per team. Sorted by form points (W=3, D=1, L=0).
This season's leading scorers. Tap a name for full stats and anytime-scorer form.
How often each market has landed in the League One, with an honest read on where the model has a proven record.
| Date | Fixture | Pick | Score | Outcome |
|---|---|---|---|---|
| 17 Oct |
|
Home/Draw | 2-0 | Won |
| 17 Oct |
|
Over 1.5 | 1-0 | Lost |
| 17 Oct |
|
Over 1.5 | 1-2 | Won |
| 17 Oct |
|
Home/Draw | 2-2 | Won |
| 17 Oct |
|
Over 1.5 | 2-1 | Won |
| 17 Oct |
|
Over 1.5 | 5-0 | Won |
| 17 Oct |
|
Over 1.5 | 2-0 | Won |
| 17 Oct |
|
Home/Draw | 2-0 | Won |
| 16 Oct |
|
Over 1.5 | 1-1 | Won |
| 10 Oct |
|
Over 1.5 | 1-0 | Lost |
| 10 Oct |
|
Home/Draw | 2-1 | Won |
| 10 Oct |
|
Over 1.5 | 1-2 | Won |
| 10 Oct |
|
Over 1.5 | 2-1 | Won |
| 10 Oct |
|
Over 1.5 | 1-4 | Won |
| 10 Oct |
|
Over 1.5 | 2-1 | Won |
Every League One call the model makes is logged before kick-off and graded win or loss on the public record, misses included. The record link on this page opens it, with the full settled history on the track record page. Sample size in League One tends to be smaller than the Championship or Premier League.
Squad budgets vary by a factor of five inside the division, lineup news lands an hour before kickoff, and underlying-numbers data is sparser than the top two flights. Our League One model leans more heavily on home/away splits and recent form.
Every League One match in the upcoming week appears on this page. Each fixture has its own preview with bookmaker comparison, pick reasoning and form context.
We keep League One calls to single bets and bet-builder legs rather than long accumulators. The variance is too high to lean a multi-leg bet on third-tier matches.
The over/under 2.5 goals line carries a wider margin in League One than in the top two flights, so a price has to land more often to pay. Every page shows what the price implies next to the model's number, and every call is graded in public.
Promotion-chasing form is weighted higher in the final third of the season, and our model treats top-six clubs against mid-table sides as a different regime to top-six against bottom-four. The class gap inside this division is genuinely wider than the table position implies.
Our model reads the prices of the UK bookmakers we track, the form and the head to head to produce League One predictions. Every fixture shows the best price we can find beside the model's number, on the match result, both teams to score, the goals lines and more.
Every pick published before kick-off, graded in public. The losing ones stay on the page.