Oklahoma City Thunder 100-103 New Orleans Pelicans

Finished

For this NBA match, BetFTW's top pick is over 238.0 points, with a 52% model probability. We also predict New Orleans Pelicans to win with +3.5 handicap at 55%.

How we calculate predictions

Bet For The Win

  1. Pick 1 Total score over 238.0 L Settled - pick not won.
    Event probability
    52%
    Stake Low 14.5/100
    Odds 2.28 Suprabets Recorded P/L -14.50
    Best odds 2.28 Suprabets
  2. Pick 2 New Orleans Pelicans to win with +3.5 handicap W Settled - pick won.
    Event probability
    55%
    Stake Low 8.1/100
    Odds 1.96 Suprabets Recorded P/L +7.80
    Best odds 1.96 Suprabets
  3. Pick 3 Oklahoma City Thunder to win L Settled - pick not won.
    Event probability
    55%
    Stake Low 7.6/100
    Odds 1.95 efbet Recorded P/L -7.63
    Best odds 1.95 efbet
  4. Pick 4 New Orleans Pelicans to win W Settled - pick won.
    Event probability
    45%
    Stake Low 7.1/100
    Odds 2.45 William Hill Recorded P/L +10.25
    Best odds 2.45 William Hill
Odds updated
Match analysis

Oklahoma City Thunder vs New Orleans Pelicans prediction review

NBA action on Tuesday, 14 February 2023 included Oklahoma City Thunder against New Orleans Pelicans, a match that finished 100-103.

For this event, the BetFTW model selects over 238 points and assigns the outcome a 52% probability. BetFTW records odds of 2.28 for the selection, alongside a Low recommended stake rating. The selection was settled as a losing pick.

A second available pick comes from the spread market. The model selects New Orleans Pelicans to win with +3.5 handicap, assigning the outcome a 55% probability at latest recorded odds of 1.96. The predictions cover different markets, with the model assigning the higher probability to New Orleans Pelicans to win with +3.5 handicap. The selection was settled as a winning pick.

The primary selection has matching best and latest recorded prices of 2.28. BetFTW retains the published probability, recorded odds, stake and settlement so the original prediction can be reviewed after the event.