Brescia 110-65 Sassari

Finished

For this Lega A match, BetFTW's top pick is over 164.0 points, with a 60% model probability. We also predict over 163.0 points at 62%.

How we calculate predictions

Bet For The Win

  1. Pick 1 Total score over 164.0 W Settled - pick won.
    Event probability
    60%
    Stake Med 25.5/100
    Odds 2.16 Suprabets Recorded P/L +29.60
    Best odds 2.16 Suprabets
  2. Pick 2 Total score over 163.0 W Settled - pick won.
    Event probability
    62%
    Stake Low 22.4/100
    Odds 1.96 Suprabets Recorded P/L +21.52
    Best odds 1.96 Suprabets
  3. Pick 3 Sassari to win with +9.5 handicap L Settled - pick not won.
    Event probability
    58%
    Stake Low 16.4/100
    Odds 2.01 Suprabets Recorded P/L -16.82
    Best odds 2.02 Suprabets
  4. Pick 4 Sassari to win L Settled - pick not won.
    Event probability
    34%
    Stake Low 16.2/100
    Odds 4.70 efbet Recorded P/L -16.16
    Best odds 4.70 efbet
  5. Pick 5 Sassari to win with +8.5 handicap L Settled - pick not won.
    Event probability
    55%
    Stake Low 5.6/100
    Odds 1.91 William Hill Recorded P/L -5.55
    Best odds 1.91 William Hill
Odds updated
Match analysis

Brescia vs Sassari prediction review

Brescia and Sassari met in Lega A on Sunday, 10 December 2023, with the event ending 110-65.

BetFTW gives over 164 points a 60% probability, making it the top-ranked pick for this event. BetFTW records odds of 2.16 for the selection, alongside a Medium recommended stake rating. The selection was settled as a winning pick.

A second available pick also comes from the total-points market. For this market, over 163 points carries a 62% model probability and latest recorded odds of 1.96. Of the two available picks, over 163 points carries the higher model probability at 62% compared with 60%. The selection was settled as a winning pick.

No difference is shown between the best and latest recorded odds, which both stand at 2.16. BetFTW retains the published probability, recorded odds, stake and settlement so the original prediction can be reviewed after the event.