St John's Red Storm 92-73 DePaul

Finished

For this NCAA match, BetFTW's top pick is St John's Red Storm to win with -5.5 handicap, with a 67% model probability. We also predict St John's Red Storm to win with -6.5 handicap at 66%.

How we calculate predictions

Bet For The Win

  1. Pick 1 St John's Red Storm to win with -5.5 handicap W Settled - pick won.
    Event probability
    67%
    Stake Med 39.0/100
    Odds 2.18 Betano Recorded P/L +46.06
    Best odds 2.18 Betano
  2. Pick 2 St John's Red Storm to win with -6.5 handicap W Settled - pick won.
    Event probability
    66%
    Stake Med 37.3/100
    Odds 2.18 Melbet Recorded P/L +43.99
    Best odds 2.18 Melbet
  3. Pick 3 St John's Red Storm to win W Settled - pick won.
    Event probability
    76%
    Stake Med 30.7/100
    Odds 1.53 BoyleSports Recorded P/L +16.28
    Best odds 1.53 BoyleSports
  4. Pick 4 Total score under 155.0 L Settled - pick not won.
    Event probability
    59%
    Stake Low 19.6/100
    Odds 2.04 Pinnacle Recorded P/L -19.58
    Best odds 2.04 Pinnacle
Odds updated
Match analysis

St John's Red Storm vs DePaul prediction review

NCAA action on Thursday, 10 March 2022 included St John's Red Storm against DePaul, a match that finished 92-73.

BetFTW gives St John's Red Storm to win with -5.5 handicap a 67% probability, making it the top-ranked pick for this event. Latest recorded odds for the pick are 2.18, with BetFTW assigning it a Medium stake rating. The selection was settled as a winning pick.

The spread market provides another BetFTW selection for this event. St John's Red Storm to win with -6.5 handicap is rated at 66%, with latest recorded odds of 2.18. St John's Red Storm to win with -5.5 handicap is rated more highly by the model, at 67% compared with 66% for St John's Red Storm to win with -6.5 handicap. The selection was settled as a winning pick.

The primary selection has matching best and latest recorded prices of 2.18. BetFTW retains the published probability, recorded odds, stake and settlement so the original prediction can be reviewed after the event.