Iraklis 62-64 Kolossos Rhodes

Finished

For this A1 match, BetFTW's top pick is Iraklis to win with +4.5 handicap, with a 71% model probability. We also predict Iraklis to win at 62%.

How we calculate predictions

Bet For The Win

  1. Pick 1 Iraklis to win with +4.5 handicap W Settled - pick won.
    Event probability
    71%
    Stake Med 43.4/100
    Odds 2.05 Betano Recorded P/L +45.55
    Best odds 2.05 Betano
  2. Pick 2 Iraklis to win L Settled - pick not won.
    Event probability
    62%
    Stake Med 42.5/100
    Odds 2.95 Betano Recorded P/L -42.51
    Best odds 2.95 Betano
  3. Pick 3 Iraklis to win with +3.5 handicap W Settled - pick won.
    Event probability
    69%
    Stake Med 38.6/100
    Odds 2.02 Betano Recorded P/L +39.38
    Best odds 2.02 Betano
  4. Pick 4 Total score under 159.0 W Settled - pick won.
    Event probability
    61%
    Stake Low 17.7/100
    Odds 1.90 1xBet Recorded P/L +15.90
    Best odds 1.90 1xBet
  5. Pick 5 Total score under 158.0 W Settled - pick won.
    Event probability
    59%
    Stake Low 17.6/100
    Odds 1.99 NetBet Recorded P/L +17.41
    Best odds 1.99 NetBet
Odds updated
Match analysis

Iraklis vs Kolossos Rhodes prediction review

Iraklis vs Kolossos Rhodes took place in A1 on Saturday, 16 April 2022 and ended with a 62-64 final score.

The model's strongest available selection is Iraklis to win with +4.5 handicap, rated at 71%. The selection has latest recorded odds of 2.05 and falls into the Medium stake band. The selection was settled as a winning pick.

A second available pick comes from the moneyline market. For this market, Iraklis to win carries a 62% model probability and latest recorded odds of 2.95. The predictions cover different markets, with the model assigning the higher probability to Iraklis to win with +4.5 handicap. The selection was settled as a losing pick.

No difference is shown between the best and latest recorded odds, which both stand at 2.05. BetFTW retains the published probability, recorded odds, stake and settlement so the original prediction can be reviewed after the event.