Dynamo Kyiv — Kudrivka
☆ Save matchModel prediction for 23 October
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
Dynamo Kyiv are clear favourites: 84% against 5% for the opponent, draw 11%.
The model expects plenty of goals: 3.7 in total, against a competition average of 2.5.
Over 2.5 goals — 73%, both teams to score — 52%.
Why
- By the strength ratings Dynamo Kyiv are about 1.5 goals per match stronger.
Probabilities
| Expected goals: Dynamo Kyiv — Kudrivka What is xG? | 3.0–0.8 | |
| Dynamo Kyiv not to lose | 95% | |
| Kudrivka not to lose | 16% | |
| No draw | 89% | |
| Both teams to score: yes | 52% | |
| Both teams to score: no | 48% | |
| Total over 2.5 | 73% | |
| Total under 2.5 | 27% |
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All totals and handicaps, team totals, corners and cards, the score grid, every factor and how the estimate moved before kick-off.
- All totals
- Handicap Dynamo Kyiv
- Dynamo Kyiv goals
- Kudrivka goals
- Corners and cards
- Full score grid
Form
- 11.10Karpaty1:0
- 19.09away · Zorya2:0
- 14.09Epitsentr Kamianets-Podilskyi3:0
- 06.09LNZ Cherkasy0:0
- 31.08away · Bukovyna Chernivtsi0:3
- 11.10away · LNZ Cherkasy1:2
- 03.10away · Veres Rivne1:2
- 20.09FC Kolos Kovalivka2:3
- 04.09away · Polissya Zhytomyr1:5
- 29.08Epitsentr Kamianets-Podilskyi0:3
Head to head
- 24.05.2026Dynamo Kyiv — Kudrivka3:2
- 06.12.2025Kudrivka — Dynamo Kyiv1:2
Table
| # | Team | P | W | +/− | Pts |
|---|---|---|---|---|---|
| 2, Europa League or Conference League | Polissya Zhytomyr | 8 | 6 | +10 | 19 |
| 3, Europa League or Conference League | Dynamo Kyiv | 7 | 5 | +5 | 16 |
| 4 | FC Kharkiv | 7 | 5 | +9 | 15 |
| 15, Relegation | Obolon Kyiv | 7 | 0 | -10 | 4 |
| 16, Relegation | Kudrivka | 8 | 0 | -14 | 2 |
Ukrainian Premier League on the same day
- Polissya ZhytomyrObolon Kyivpreliminary841241The model's most likely outcome: 1Model's score: 2:02.8
- Veres RivneFC Kolos Kovalivkapreliminary293337XThe model's most likely outcome: XModel's score: 0:01.9
This is the model’s statistical estimate, not a recommendation. An outcome at 84% will not happen in roughly 16 matches out of 100. How to read probabilities →