Reggiana 88-89 Treviso

Finished

For this Lega A match, BetFTW's top pick is Reggiana to win with -5.5 handicap, with a 66% model probability. We also predict over 166.0 points at 70%.

How we calculate predictions

Bet For The Win

  1. Pick 1 Reggiana to win with -5.5 handicap L Settled - pick not won.
    Event probability
    66%
    Stake Med 37.7/100
    Odds 2.20 DraftKings Recorded P/L -37.67
    Best odds 2.20 DraftKings
  2. Pick 2 Total score over 166.0 W Settled - pick won.
    Event probability
    70%
    Stake Med 30.0/100
    Odds 1.75 Mystake Recorded P/L +22.50
    Best odds 1.75 Mystake
  3. Pick 3 Reggiana to win with -4.5 handicap L Settled - pick not won.
    Event probability
    67%
    Stake Med 27.2/100
    Odds 1.83 FanDuel Recorded P/L -27.24
    Best odds 1.83 FanDuel
  4. Pick 4 Total score over 168.0 W Settled - pick won.
    Event probability
    66%
    Stake Low 20.1/100
    Odds 1.74 Fezbet Recorded P/L +14.84
    Best odds 1.74 Fezbet
  5. Pick 5 Reggiana to win L Settled - pick not won.
    Event probability
    74%
    Stake Low 16.2/100
    Odds 1.45 1xBet Recorded P/L -32.06
    Best odds 1.62 1xBet
Odds updated
Match analysis

Reggiana vs Treviso prediction review

The Lega A meeting between Reggiana and Treviso finished 88-89 on Friday, 7 November 2025.

The leading model-based prediction for Reggiana vs Treviso is Reggiana to win with -5.5 handicap, with a calculated probability of 66%. The selection is shown at latest recorded odds of 2.20 and carries a Medium stake band. The selection was settled as a losing pick.

Another available betting angle for the event comes from the total-points market. BetFTW rates over 166 points at 70%, compared with latest recorded odds of 1.75. Of the two available picks, over 166 points carries the higher model probability at 70% compared with 66%. The selection was settled as a winning pick.

The best and latest recorded odds for the primary pick are both 2.20. BetFTW retains the published probability, recorded odds, stake and settlement so the original prediction can be reviewed after the event.