New Mexico Lobos 92-84 Toledo

Finished

For this NCAA match, BetFTW's top pick is over 162.0 points, with a 81% model probability. We also predict over 161.0 points at 82%.

How we calculate predictions

Bet For The Win

  1. Pick 1 Total score over 162.0 W Settled - pick won.
    Event probability
    81%
    Stake High 64.8/100
    Odds 2.17 Weltbet Recorded P/L +75.77
    Best odds 2.17 Weltbet
  2. Pick 2 Total score over 161.0 W Settled - pick won.
    Event probability
    82%
    Stake High 63.1/100
    Odds 1.95 22Bet Recorded P/L +59.94
    Best odds 1.95 22Bet
  3. Pick 3 Toledo to win with +4.5 handicap L Settled - pick not won.
    Event probability
    68%
    Stake Med 32.8/100
    Odds 1.91 BoyleSports Recorded P/L -32.84
    Best odds 1.91 BoyleSports
  4. Pick 4 Toledo to win with +3.5 handicap L Settled - pick not won.
    Event probability
    66%
    Stake Med 28.6/100
    Odds 1.91 Caesars Recorded P/L -28.64
    Best odds 1.91 Caesars
  5. Pick 5 Toledo to win L Settled - pick not won.
    Event probability
    59%
    Stake Med 25.4/100
    Odds 2.22 Stake.com Recorded P/L -28.63
    Best odds 2.35 Betano
Odds updated
Match analysis

New Mexico Lobos vs Toledo prediction review

New Mexico Lobos vs Toledo took place in NCAA on Wednesday, 22 November 2023 and ended with a 92-84 final score.

The highest-rated BetFTW selection for this event is over 162 points, which carries a 81% model probability. Latest recorded odds for the pick are 2.17, with BetFTW assigning it a High stake rating. The selection was settled as a winning pick.

BetFTW publishes a second selection from the total-points market for this event. For this market, over 161 points carries a 82% model probability and latest recorded odds of 1.95. over 161 points is rated more highly by the model, at 82% compared with 81% for over 162 points. The selection was settled as a winning pick.

The best and latest recorded odds for the primary pick are both 2.17. The original model probability, recorded prices, stake band and settled outcome remain on this page as a transparent historical prediction record.