Ukrainian Premier League, round 11 · Saturday, 31 October, MSK

Obolon Kyiv — Shakhtar Donetsk

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Model prediction for 31 October

Obolon Kyiv4%
Draw12%
Shakhtar Donetsk85%
Model estimate at MSK

Preliminary forecast: the match is more than a week away. Closer to it the model takes in fresh form, injuries and line-ups, and the numbers may move.

In short

Shakhtar Donetsk are clear favourites: 85% against 4% for the opponent, draw 12%.

The model expects plenty of goals: 3.2 in total, against a competition average of 2.5.

Over 2.5 goals — 63%, both teams to score — 37%.

Why

  • By the strength ratings Shakhtar Donetsk are about 2.0 goals per match stronger.

Probabilities

Expected goals: Obolon Kyiv — Shakhtar Donetsk What is xG?0.5–2.7
Obolon Kyiv not to lose15%
Shakhtar Donetsk not to lose96%
No draw88%
Both teams to score: yes37%
Both teams to score: no63%
Total over 2.563%
Total under 2.537%

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Form

Obolon Kyiv

  • 18.09away · Chornomorets Odesa1:1
  • 12.09away · LNZ Cherkasy1:3
  • 05.09away · FC Kharkiv0:5
  • 28.08away · FC Kolos Kovalivka0:0
  • 15.08away · Kudrivka0:0

Shakhtar Donetsk

  • 09.10away · Veres Rivne3:0
  • 20.09LNZ Cherkasy3:0
  • 14.09Chornomorets Odesa2:0
  • 10.09away · PSV Eindhoven1:1
  • 05.09away · Karpaty2:1

Head to head

  • 13.05.2026Shakhtar Donetsk — Obolon Kyiv3:1
  • 22.11.2025Obolon Kyiv — Shakhtar Donetsk0:6
  • 29.03.2025Obolon Kyiv — Shakhtar Donetsk0:2
  • 23.09.2024Shakhtar Donetsk — Obolon Kyiv4:0
  • 30.03.2024Obolon Kyiv — Shakhtar Donetsk0:3

Full record: 6 meetings →

Table

Table «Overall», season 2026/27
#TeamPWDLGoals+/−Pts
1, Champions League qualifyingShakhtar Donetsk870118–4+1421
2, Europa League or Conference LeaguePolissya Zhytomyr861117–7+1019
14, Relegation play-offChornomorets Odesa71244–9-55
15, RelegationObolon Kyiv70432–12-104
16, RelegationKudrivka80266–20-142

Season 2026/27

Full table

Ukrainian Premier League on the same day

This is the model’s statistical estimate, not a recommendation. An outcome at 85% will not happen in roughly 15 matches out of 100. How to read probabilities →