Mitteldeutscher 93-108 USC Heidelberg

Finished

For this BBL match, BetFTW's top pick is over 169.0 points, with a 66% model probability. We also predict over 170.0 points at 64%.

How we calculate predictions

Bet For The Win

  1. Pick 1 Total score over 169.0 W Settled - pick won.
    Event probability
    66%
    Stake Med 38.4/100
    Odds 2.23 Pinnacle Recorded P/L +47.18
    Best odds 2.23 Pinnacle
  2. Pick 2 Total score over 170.0 W Settled - pick won.
    Event probability
    64%
    Stake Med 31.9/100
    Odds 2.12 NEO.bet Recorded P/L +35.68
    Best odds 2.12 NEO.bet
  3. Pick 3 Mitteldeutscher to win with -2.5 handicap L Settled - pick not won.
    Event probability
    59%
    Stake Med 26.2/100
    Odds 2.25 Pinnacle Recorded P/L -26.20
    Best odds 2.25 Pinnacle
  4. Pick 4 Mitteldeutscher to win L Settled - pick not won.
    Event probability
    64%
    Stake Med 26.1/100
    Odds 1.95 Bwin Recorded P/L -26.11
    Best odds 1.95 Bwin
  5. Pick 5 Mitteldeutscher to win with -3.5 handicap L Settled - pick not won.
    Event probability
    57%
    Stake Low 18.6/100
    Odds 2.12 Mystake Recorded P/L -18.61
    Best odds 2.12 Mystake
Odds updated
Match analysis

Mitteldeutscher vs USC Heidelberg prediction review

BBL action on Thursday, 3 October 2024 included Mitteldeutscher against USC Heidelberg, a match that finished 93-108.

Among the available predictions, over 169 points receives the highest model rating at 66%. The selection is shown at latest recorded odds of 2.23 and carries a Medium stake band. The selection was settled as a winning pick.

A second available pick also comes from the total-points market. over 170 points is rated at 64%, with latest recorded odds of 2.12. over 169 points is rated more highly by the model, at 66% compared with 64% for over 170 points. The selection was settled as a winning pick.

The primary selection has matching best and latest recorded prices of 2.23. The original model probability, recorded prices, stake band and settled outcome remain on this page as a transparent historical prediction record.