Blackpool vs Milton Keynes Dons prediction

England · League One · 20 October 2026

Blackpool
2 - 0Full time
Milton Keynes Dons
BlackpoolDrawMilton Keynes Dons
Prediction correctModel pick before kick-off: Blackpool to win (52%)
Our predictionBlackpool to winLean
52%Probability
1.94Fair odds
1-1Likely score
1.77-1.11Expected goals

Betting markets

Model chances and the fair odds they imply

Match result

  • Blackpool52%1.94
  • Draw24%4.20
  • Milton Keynes Dons25%4.07

Double chance

  • Blackpool or draw75%1.33
  • Blackpool or Milton Keynes Dons76%1.31
  • Draw or Milton Keynes Dons48%2.07

Goals

  • Over 2.555%1.82
  • Under 2.545%2.22

Both teams to score

  • Yes55%1.81
  • No45%2.24

Match preview

Blackpool have the edge at 52%, but this is far from settled: the draw is at 24% and a win for Milton Keynes Dons at 25%.

Expected goals from the model: Blackpool 1.77, Milton Keynes Dons 1.11. The single most likely score is 1-1 (11%), and the chance of three or more goals is 55%.

Blackpool have won 0 and lost 4 of their last 5 league matches (LLLDL).

Milton Keynes Dons have won 1 and lost 1 of their last 5 league matches (WLDDD).

In their last 2 league meetings Blackpool won 2, Milton Keynes Dons won 0 and 0 ended level.

Most likely scores

  • 1-111%
  • 1-010%
  • 2-110%
  • 2-09%
  • 0-16%

Blackpool form

LDLLL
  • Lat Leyton Orient0-22026-10-17
  • Lat Cambridge United0-12026-10-10
  • Lvs Plymouth Argyle2-42026-09-19
  • Dvs Bromley2-22026-09-12
  • Lat Reading1-32026-09-05

Milton Keynes Dons form

DDDLW
  • Wvs Luton Town2-12026-10-17
  • Lvs Reading1-52026-10-10
  • Dat AFC Wimbledon0-02026-09-17
  • Dvs Peterborough United1-12026-09-12
  • Dat Wycombe Wanderers3-32026-09-05

Head to head

  • 2021-03-09Milton Keynes Dons 0-1 Blackpool
  • 2020-10-24Blackpool 1-0 Milton Keynes Dons

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This match was played before FootyMath launched: the prediction was calculated afterwards from the matches before its date only, the same way as our backtest, and is not counted in the live track record. Fair odds are 1 divided by the model probability, not bookmaker prices. Published by Semalt; see how it works and the track record.