Ferro Carril Oeste 90-78 CA Penarol

Finished

For this LNB match, BetFTW's top pick is Ferro Carril Oeste to win with +3.5 handicap, with a 67% model probability. We also predict Ferro Carril Oeste to win with +4.5 handicap at 69%.

How we calculate predictions

Bet For The Win

  1. Pick 1 Ferro Carril Oeste to win with +3.5 handicap W Settled - pick won.
    Event probability
    67%
    Stake Med 30.3/100
    Odds 1.90 Betwinner Recorded P/L +27.30
    Best odds 1.90 Betwinner
  2. Pick 2 Ferro Carril Oeste to win with +4.5 handicap W Settled - pick won.
    Event probability
    69%
    Stake Med 27.7/100
    Odds 1.75 Marathonbet Recorded P/L +20.75
    Best odds 1.75 Marathonbet
  3. Pick 3 Ferro Carril Oeste to win W Settled - pick won.
    Event probability
    60%
    Stake Med 26.7/100
    Odds 2.20 Bet365 Recorded P/L +46.99
    Best odds 2.45 Marathonbet
  4. Pick 4 Total score under 162.0 L Settled - pick not won.
    Event probability
    61%
    Stake Low 13.0/100
    Odds 1.81 Pinnacle Recorded P/L -13.44
    Best odds 1.82 Marathonbet
Odds updated
Match analysis

Ferro Carril Oeste vs CA Penarol prediction review

Ferro Carril Oeste vs CA Penarol took place in LNB on Sunday, 3 April 2022 and ended with a 90-78 final score.

For the spread market, BetFTW favours Ferro Carril Oeste to win with +3.5 handicap at 67%. The selection has latest recorded odds of 1.90 and falls into the Medium stake band. The selection was settled as a winning pick.

The spread market provides another BetFTW selection for this event. For this market, Ferro Carril Oeste to win with +4.5 handicap carries a 69% model probability and latest recorded odds of 1.75. Of the two available picks, Ferro Carril Oeste to win with +4.5 handicap carries the higher model probability at 69% compared with 67%. The selection was settled as a winning pick.

No difference is shown between the best and latest recorded odds, which both stand at 1.90. BetFTW retains the published probability, recorded odds, stake and settlement so the original prediction can be reviewed after the event.