Upcoming fixtures
Spectral hasn't flagged a value pick in the next 11 League One matches yet.
- BlackpoolvsLeicester CityLeague One · Sat 3 Oct · 15:00
- Sheffield WednesdayvsCambridge UnitedLeague One · Sat 3 Oct · 15:00
- Peterborough UnitedvsNotts CountyLeague One · Sat 3 Oct · 15:00
- Luton TownvsDoncaster RoversLeague One · Sat 3 Oct · 15:00
- BromleyvsWycombe WanderersLeague One · Sat 3 Oct · 15:00
- AFC WimbledonvsStevenageLeague One · Sat 3 Oct · 15:00
- ReadingvsBradford CityLeague One · Sat 3 Oct · 15:00
- Leyton OrientvsPlymouth ArgyleLeague One · Sat 3 Oct · 15:00
- BarnsleyvsMilton Keynes DonsLeague One · Sat 3 Oct · 15:00
- Burton AlbionvsHuddersfield TownLeague One · Sat 3 Oct · 15:00
- Wigan AthleticvsMansfield TownLeague One · Sat 3 Oct · 15:00
Track record
Picks tracked
98
Win rate
49.0%
Yield
-1.9%
P&L (units)
-0.04
On League One. Full history below.
Recent results
Last 2 settled League One fixtures — verdicts shown where Spectral flagged a value pick.
Typical corner market for League One
Computed from Spectral's own pipeline — the typical lines our model faces in League One, the match totals it predicts, and the edge profile of the picks it flags.
Median corner line
10.0
flagged picks
Avg predicted total
10.8
all modelled matches
Picks per matchday
—
last 30 days
Median edge
20.0%
flagged picks
How we model League One
Corners prediction uses a Poisson regression trained separately for League One. Every league has its own tempo, refereeing style, and variance profile, so a model calibrated on one doesn't transfer cleanly to another — we retrain per-league and recalibrate as new matches settle.
Once the model produces a probability for each corners line, we compare it against live bookmaker odds. Where the implied probability is meaningfully lower than ours (the edge), we flag a value bet. Pick sizing follows a Kelly fraction scaled by our confidence tier, capped for bankroll safety.
The full write-up — features, calibration method, overdispersion handling, and league-specific bias correction — lives on the methodology page. Historical accuracy for every league Spectral covers is tracked publicly on /track-record.