Iberostar Tenerife 75-73 UCAM Murcia

Finished

For this Liga ACB match, BetFTW's top pick is under 161.0 points, with a 66% model probability. We also predict Iberostar Tenerife to win with -8.5 handicap at 61%.

How we calculate predictions

Bet For The Win

  1. Pick 1 Total score under 161.0 W Settled - pick won.
    Event probability
    66%
    Stake Med 28.2/100
    Odds 1.90 Galera.Bet Recorded P/L +27.38
    Best odds 1.93 1Bet
  2. Pick 2 Iberostar Tenerife to win with -8.5 handicap L Settled - pick not won.
    Event probability
    61%
    Stake Med 28.0/100
    Odds 2.18 LeoVegas Sport Recorded P/L -29.29
    Best odds 2.23 Suprabets
  3. Pick 3 Total score under 164.0 W Settled - pick won.
    Event probability
    71%
    Stake Med 27.7/100
    Odds 1.67 1Bet Recorded P/L +18.57
    Best odds 1.67 1Bet
  4. Pick 4 Iberostar Tenerife to win W Settled - pick won.
    Event probability
    76%
    Stake Low 14.5/100
    Odds 1.39 William Hill Recorded P/L +5.64
    Best odds 1.39 William Hill
Odds updated
Match analysis

Iberostar Tenerife vs UCAM Murcia prediction review

Liga ACB action on Saturday, 27 January 2024 included Iberostar Tenerife against UCAM Murcia, a match that finished 75-73.

Among the available predictions, under 161 points receives the highest model rating at 66%. The selection has latest recorded odds of 1.90 and falls into the Medium stake band. The selection was settled as a winning pick.

Another available betting angle for the event comes from the spread market. The model selects Iberostar Tenerife to win with -8.5 handicap, assigning the outcome a 61% probability at latest recorded odds of 2.18. Of the two available picks, under 161 points carries the higher model probability at 66% compared with 61%. The selection was settled as a losing pick.

The primary selection reached best recorded odds of 1.93, compared with a latest recorded price of 1.90. BetFTW retains the published probability, recorded odds, stake and settlement so the original prediction can be reviewed after the event.