Campeonato Brasileiro Série A · Matchweek 23

CA Mineiro vs Grêmio FBPA Prediction

Match essentials

Kick-off (UK)
Sun 16 Aug, 20:00 (BST)
Competition
Campeonato Brasileiro Série A
Round
Matchweek 23
Venue
To be confirmed

United Matchday prediction

CA Mineiro win41%
Draw23%
Grêmio FBPA win37%
Predicted score
1–1
Over 2.5 goals
64%
Under 2.5 goals
36%
BTTS yes
65%
Over 1.5 goals
84%
Over 3.5 goals
42%
BTTS no
35%
Expected goals
1.70 – 1.61

High confidence

Why the model favours this outcome

Grêmio FBPA carry an above-average away scoring record into the fixture. The model expects a relatively open scoring environment in this match. The model sees relatively little separation between the two teams. Grêmio FBPA arrive in stronger recent form, which the model weights alongside season-long numbers.

Most likely scorelines

  • 1–110.0%
  • 2–18.5%
  • 1–28.0%
  • 2–26.8%
  • 1–06.2%
  • 0–15.9%
  • 2–05.3%
  • 3–14.8%

Team comparison

StatisticCA MineiroGrêmio FBPA
Matches played67
Points per match1.830.57
Goals per match1.500.86
Goals conceded per match0.831.57
Home / away goals scored92
Home / away goals conceded38
Last 5 points84
Last 5 goals scored66
Last 5 goals conceded57
Win percentage50%14%

CA Mineiro recent form

DWLWD

Grêmio FBPA recent form

WLLLD

Recent form

CA Mineiro

1W 1D 3L in the last 5 · 6 scored, 7 conceded

  • Wvs CR Vasco da Gama5–0
  • Lvs SE Palmeiras0–3
  • Lat Fortaleza EC0–1
  • Dvs Flamengo1–1
  • Lat RB Bragantino0–2

Grêmio FBPA

3W 0D 2L in the last 5 · 12 scored, 7 conceded

  • Wat SC Recife4–0
  • Lvs Fluminense FC1–2
  • Wvs SE Palmeiras3–2
  • Lat Botafogo FR2–3
  • Wvs CR Vasco da Gama2–0

Model transparency

Model: UM Prediction Model v1.0
Generated: 13 August 2026
Last updated: 13 August 2026
Status: Locked

How predictions work

Prediction record

Matches predicted
510
1X2 accuracy
46.9%
BTTS accuracy
57.5%
Over 2.5 accuracy
58.8%
Exact score
10.6%

Related predictions

Predictions are statistical estimates for informational and entertainment purposes. Football outcomes are uncertain and no prediction is guaranteed.