Promitheas 87-75 Karditsa

Finished

For this A1 match, BetFTW's top pick is under 157.0 points, with a 71% model probability. We also predict under 156.0 points at 69%.

How we calculate predictions

Bet For The Win

  1. Pick 1 Total score under 157.0 L Settled - pick not won.
    Event probability
    71%
    Stake Med 34.8/100
    Odds 1.80 Pinnacle Recorded P/L -34.75
    Best odds 1.80 Pinnacle
  2. Pick 2 Total score under 156.0 L Settled - pick not won.
    Event probability
    69%
    Stake Med 34.6/100
    Odds 1.90 Casumo Sport Recorded P/L -34.56
    Best odds 1.90 Casumo Sport
  3. Pick 3 Promitheas to win with -12.5 handicap L Settled - pick not won.
    Event probability
    57%
    Stake Low 16.1/100
    Odds 2.05 Pinnacle Recorded P/L -16.43
    Best odds 2.06 Pinnacle
  4. Pick 4 Promitheas to win with -9.5 handicap W Settled - pick won.
    Event probability
    64%
    Stake Low 8.6/100
    Odds 1.65 Circus Recorded P/L +5.60
    Best odds 1.65 Circus
  5. Pick 5 Karditsa to win L Settled - pick not won.
    Event probability
    21%
    Stake Low 8.4/100
    Odds 7.25 Bet365 Recorded P/L -10.81
    Best odds 8.75 Betano
Odds updated
Match analysis

Promitheas vs Karditsa prediction review

Promitheas vs Karditsa took place in A1 on Sunday, 15 October 2023 and ended with a 87-75 final score.

For the total-points market, BetFTW favours under 157 points at 71%. The prediction's latest recorded price is 1.80, while its calculated edge places it in BetFTW's Medium stake band. The selection was settled as a losing pick.

BetFTW publishes a second selection from the total-points market for this event. BetFTW rates under 156 points at 69%, compared with latest recorded odds of 1.90. Of the two available picks, under 157 points carries the higher model probability at 71% compared with 69%. The selection was settled as a losing pick.

The primary selection has matching best and latest recorded prices of 1.80. BetFTW retains the published probability, recorded odds, stake and settlement so the original prediction can be reviewed after the event.