Brescia 85-79 Milano

Finished

For this Lega A match, BetFTW's top pick is over 171.0 points, with a 58% model probability. We also predict Brescia to win with +2.5 handicap at 59%.

How we calculate predictions

Bet For The Win

  1. Pick 1 Total score over 171.0 L Settled - pick not won.
    Event probability
    58%
    Stake Med 26.9/100
    Odds 2.35 Campobet Recorded P/L -26.89
    Best odds 2.35 Campobet
  2. Pick 2 Brescia to win with +2.5 handicap W Settled - pick won.
    Event probability
    59%
    Stake Low 24.8/100
    Odds 2.20 Campobet Recorded P/L +29.80
    Best odds 2.20 Campobet
  3. Pick 3 Total score over 169.0 L Settled - pick not won.
    Event probability
    62%
    Stake Low 22.8/100
    Odds 1.97 Marathonbet Recorded P/L -28.96
    Best odds 2.15 Casumo Sport
  4. Pick 4 Brescia to win with +3.5 handicap W Settled - pick won.
    Event probability
    61%
    Stake Low 17.7/100
    Odds 1.90 10bet Recorded P/L +20.78
    Best odds 1.98 Bwin
  5. Pick 5 Brescia to win W Settled - pick won.
    Event probability
    53%
    Stake Low 9.1/100
    Odds 2.07 1xBet Recorded P/L +40.46
    Best odds 2.65 Marathonbet
Odds updated
Match analysis

Brescia vs Milano prediction review

Brescia and Milano met in Lega A on Sunday, 31 May 2026, with the event ending 85-79.

The highest-rated BetFTW selection for this event is over 171 points, which carries a 58% model probability. The selection has latest recorded odds of 2.35 and falls into the Medium stake band. The selection was settled as a losing pick.

A second available pick comes from the spread market. For this market, Brescia to win with +2.5 handicap carries a 59% model probability and latest recorded odds of 2.20. Of the two available picks, Brescia to win with +2.5 handicap carries the higher model probability at 59% compared with 58%. The selection was settled as a winning pick.

The best and latest recorded odds for the primary pick are both 2.35. The original model probability, recorded prices, stake band and settled outcome remain on this page as a transparent historical prediction record.