UCLA Bruins 86-53 UNC Asheville

Finished

For this NCAA match, BetFTW's top pick is UCLA Bruins to win with -18.5 handicap, with a 64% model probability. We also predict UCLA Bruins to win with -17.5 handicap at 66%.

How we calculate predictions

Bet For The Win

  1. Pick 1 UCLA Bruins to win with -18.5 handicap W Settled - pick won.
    Event probability
    64%
    Stake Med 32.4/100
    Odds 2.14 Pinnacle Recorded P/L +36.96
    Best odds 2.14 Pinnacle
  2. Pick 2 UCLA Bruins to win with -17.5 handicap W Settled - pick won.
    Event probability
    66%
    Stake Med 30.2/100
    Odds 1.95 Lilibet Recorded P/L +28.70
    Best odds 1.95 Lilibet
  3. Pick 3 Total score over 136.0 W Settled - pick won.
    Event probability
    55%
    Stake Low 7.6/100
    Odds 1.95 Cricbaba Recorded P/L +7.25
    Best odds 1.95 Cricbaba
  4. Pick 4 UNC Asheville to win L Settled - pick not won.
    Event probability
    13%
    Stake Low 6.8/100
    Odds 15.00 Ladbrokes Recorded P/L -6.79
    Best odds 15.00 Ladbrokes
Odds updated
Match analysis

UCLA Bruins vs UNC Asheville prediction review

UCLA Bruins and UNC Asheville met in NCAA on Friday, 17 March 2023, with the event ending 86-53.

Among the available predictions, UCLA Bruins to win with -18.5 handicap receives the highest model rating at 64%. The selection has latest recorded odds of 2.14 and falls into the Medium stake band. The selection was settled as a winning pick.

BetFTW publishes a second selection from the spread market for this event. For this market, UCLA Bruins to win with -17.5 handicap carries a 66% model probability and latest recorded odds of 1.95. UCLA Bruins to win with -17.5 handicap is rated more highly by the model, at 66% compared with 64% for UCLA Bruins to win with -18.5 handicap. The selection was settled as a winning pick.

No difference is shown between the best and latest recorded odds, which both stand at 2.14. BetFTW retains the published probability, recorded odds, stake and settlement so the original prediction can be reviewed after the event.