Real Madrid 101-70 Zaragoza

Finished

For this Liga ACB match, BetFTW's top pick is Real Madrid to win with -15.5 handicap, with a 67% model probability. We also predict Real Madrid to win with -16.5 handicap at 66%.

How we calculate predictions

Bet For The Win

  1. Pick 1 Real Madrid to win with -15.5 handicap W Settled - pick won.
    Event probability
    67%
    Stake Med 34.0/100
    Odds 2.00 Fezbet Recorded P/L +34.00
    Best odds 2.00 Fezbet
  2. Pick 2 Real Madrid to win with -16.5 handicap W Settled - pick won.
    Event probability
    66%
    Stake Med 29.4/100
    Odds 1.93 Betano Recorded P/L +27.38
    Best odds 1.93 Betano
  3. Pick 3 Real Madrid to win with -18.5 handicap W Settled - pick won.
    Event probability
    61%
    Stake Low 24.2/100
    Odds 2.06 HeySpin Recorded P/L +25.66
    Best odds 2.06 HeySpin
  4. Pick 4 Total score over 167.0 W Settled - pick won.
    Event probability
    55%
    Stake Low 12.1/100
    Odds 2.05 Casumo Sport Recorded P/L +20.44
    Best odds 2.19 Suprabets
Odds updated
Match analysis

Real Madrid vs Zaragoza prediction review

Liga ACB action on Sunday, 24 September 2023 included Real Madrid against Zaragoza, a match that finished 101-70.

BetFTW's model rates Real Madrid to win with -15.5 handicap as the leading prediction for the event, with an estimated probability of 67%. The prediction's latest recorded price is 2.00, while its calculated edge places it in BetFTW's Medium stake band. The selection was settled as a winning pick.

BetFTW publishes a second selection from the spread market for this event. The model selects Real Madrid to win with -16.5 handicap, assigning the outcome a 66% probability at latest recorded odds of 1.93. Within the spread market, the model assigns the higher probability to Real Madrid to win with -15.5 handicap. The selection was settled as a winning pick.

The primary selection has matching best and latest recorded prices of 2.00. The original model probability, recorded prices, stake band and settled outcome remain on this page as a transparent historical prediction record.