Upcoming fixtures
Spectral hasn't flagged a value pick in the next 15 Brazilian Serie A matches yet.
- CruzeirovsSão PauloBrazilian Serie A · Thu 8 Oct · 01:30
- SantosvsFlamengoBrazilian Serie A · Thu 8 Oct · 23:30
- Atlético PRvsAtlético MineiroBrazilian Serie A · Fri 9 Oct · 00:00
- FluminensevsCoritibaBrazilian Serie A · Fri 9 Oct · 01:30
- PalmeirasvsBahiaBrazilian Serie A · Fri 9 Oct · 01:30
- Vasco da GamavsRemoBrazilian Serie A · Sat 10 Oct · 22:00
- São PaulovsVitóriaBrazilian Serie A · Sun 11 Oct · 01:00
- Atlético MineirovsSantosBrazilian Serie A · Sun 11 Oct · 20:00
- GrêmiovsInternacionalBrazilian Serie A · Sun 11 Oct · 21:30
- PalmeirasvsCorinthiansBrazilian Serie A · Sun 11 Oct · 21:30
- FlamengovsFluminenseBrazilian Serie A · Sun 11 Oct · 21:30
- BahiavsMirassolBrazilian Serie A · Sun 11 Oct · 23:30
- CoritibavsBotafogoBrazilian Serie A · Mon 12 Oct · 20:00
- ChapecoensevsAtlético PRBrazilian Serie A · Mon 12 Oct · 23:30
- BragantinovsCruzeiroBrazilian Serie A · Tue 13 Oct · 01:00
Track record
Picks tracked
13
Win rate
46.2%
Yield
-27.1%
P&L (units)
-0.02
On Brazilian Serie A. Full history below.
Typical corner market for Brazilian Serie A
Computed from Spectral's own pipeline — the typical lines our model faces in Brazilian Serie A, the match totals it predicts, and the edge profile of the picks it flags.
Median corner line
9.5
flagged picks
Avg predicted total
10.1
all modelled matches
Picks per matchday
2.0
last 30 days
Median edge
21.0%
flagged picks
How we model Brazilian Serie A
Corners prediction uses a Poisson regression trained separately for Brazilian Serie A. 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.