KK Cibona 89-84 Mega Leks

Finished

For this ABA League match, BetFTW's top pick is KK Cibona to win, with a 66% model probability. We also predict KK Cibona to win with -6.5 handicap at 52%.

How we calculate predictions

Bet For The Win

  1. Pick 1 KK Cibona to win W Settled - pick won.
    Event probability
    66%
    Stake Low 22.4/100
    Odds 1.78 NEO.bet Recorded P/L +17.48
    Best odds 1.78 NEO.bet
  2. Pick 2 KK Cibona to win with -6.5 handicap L Settled - pick not won.
    Event probability
    52%
    Stake Low 20.0/100
    Odds 2.50 Betclic Recorded P/L -20.83
    Best odds 2.54 Betclic
  3. Pick 3 Total score over 165.0 W Settled - pick won.
    Event probability
    55%
    Stake Low 9.6/100
    Odds 1.99 Marathonbet Recorded P/L +9.45
    Best odds 1.99 Marathonbet
  4. Pick 4 KK Cibona to win with -7.5 handicap L Settled - pick not won.
    Event probability
    48%
    Stake Low 8.0/100
    Odds 2.30 Betobet Recorded P/L -8.31
    Best odds 2.31 Betclic
  5. Pick 5 Total score over 164.5 W Settled - pick won.
    Event probability
    55%
    Stake Low 7.8/100
    Odds 1.95 Bodog Recorded P/L +7.36
    Best odds 1.95 Bodog
Odds updated
Match analysis

KK Cibona vs Mega Leks prediction review

The ABA League meeting between KK Cibona and Mega Leks finished 89-84 on Monday, 4 October 2021.

For this event, the BetFTW model selects KK Cibona to win and assigns the outcome a 66% probability. Latest recorded odds for the pick are 1.78, with BetFTW assigning it a Low stake rating. The selection was settled as a winning pick.

A second available pick comes from the spread market. KK Cibona to win with -6.5 handicap is rated at 52%, with latest recorded odds of 2.50. The predictions cover different markets, with the model assigning the higher probability to KK Cibona to win. The selection was settled as a losing pick.

No difference is shown between the best and latest recorded odds, which both stand at 1.78. BetFTW retains the published probability, recorded odds, stake and settlement so the original prediction can be reviewed after the event.