Kudrivka — Bukovyna Chernivtsi
☆ Save matchModel prediction for 17 October
In short
Bukovyna Chernivtsi are slightly stronger: 42% against 27%, draw 31%.
2.3 goals expected in total — close to the competition average (2.5).
Over 2.5 goals — 41%, both teams to score — 48%.
Why
- By the strength ratings Bukovyna Chernivtsi are about 0.3 goals per match stronger.
Facts
- League table: Kudrivka — No. 16, 2 pts; Bukovyna Chernivtsi — No. 10, 8 pts. A gap of 6 pts.
- Kudrivka: 5 defeats in a row; Bukovyna Chernivtsi: winless in 4.
Probabilities
| Expected goals: Kudrivka — Bukovyna Chernivtsi What is xG? | 1.0–1.3 | |
| Kudrivka not to lose | 58% | |
| Bukovyna Chernivtsi not to lose | 73% | |
| No draw | 69% | |
| Both teams to score: yes | 48% | |
| Both teams to score: no | 52% | |
| Total over 2.5 | 41% | |
| Total under 2.5 | 59% |
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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 Kudrivka
- Kudrivka goals
- Bukovyna Chernivtsi goals
- Corners and cards
- Full score grid
Form
- 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
- 11.10Polissya Zhytomyr2:2
- 19.09away · FC Kharkiv0:2
- 13.09Zorya1:1
- 06.09away · Epitsentr Kamianets-Podilskyi0:0
- 31.08Dynamo Kyiv3:0
Head to head
No previous meetings in the data.
Table
| # | Team | P | W | +/− | Pts |
|---|---|---|---|---|---|
| 9 | FC Kolos Kovalivka | 7 | 2 | -2 | 8 |
| 10 | Bukovyna Chernivtsi | 8 | 1 | -2 | 8 |
| 11 | Epitsentr Kamianets-Podilskyi | 8 | 2 | -3 | 8 |
| 15, Relegation | Obolon Kyiv | 7 | 0 | -10 | 4 |
| 16, Relegation | Kudrivka | 8 | 0 | -14 | 2 |
Ukrainian Premier League on the same day
- 6025151The model's most likely outcome: 1Model's score: 1:02.4
- 781661The model's most likely outcome: 1Model's score: 1:02.6
This is the model’s statistical estimate, not a recommendation. An outcome at 42% will not happen in roughly 58 matches out of 100. How to read probabilities →