Zorya — Epitsentr Kamianets-Podilskyi
☆ Save matchModel prediction and result
In short
Final score 1:0: the model's most likely outcome, Zorya to win (50%), came true.
Zorya are clear favourites: 50% against 21% for the opponent, draw 29%.
2.7 goals expected in total — close to the competition average (2.5).
Over 2.5 goals — 49%, both teams to score — 55%.
Why
- By the strength ratings Zorya are about 0.3 goals per match stronger.
- Zorya are 182 points higher on Elo.
Facts
- Epitsentr Kamianets-Podilskyi: winless in 5.
- Last 2 meetings: Zorya 2 wins, Epitsentr Kamianets-Podilskyi 0.
Probabilities
| Expected goals: Zorya — Epitsentr Kamianets-Podilskyi What is xG? | 1.6–1.0 | |
| Zorya not to lose | 79% | |
| Epitsentr Kamianets-Podilskyi not to lose | 50% | |
| No draw | 71% | |
| Both teams to score: yes | 55% | |
| Both teams to score: no | 45% | |
| Total over 2.5 | 49% | |
| Total under 2.5 | 51% |
183 more model lines in Premium
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 Zorya
- Zorya goals
- Epitsentr Kamianets-Podilskyi goals
- Corners and cards
- Full score grid
Match events
- 26′Igor Kiryckhancev · Epitsentr Kamianets-Podilskyi
- 53′Sallieu Bah · penalty · Zorya1:0
- 60′Artem Kozak · Epitsentr Kamianets-Podilskyi
Substitutions (10)
- 63′Vadym Sydun ↔ Artem Kozak · Epitsentr Kamianets-Podilskyi
- 63′Kyrylo Kovalets ↔ Daniil Vashchenko · Epitsentr Kamianets-Podilskyi
- 69′Artem Slesar ↔ Domagoj Jelavic · Zorya
- 69′Jakov Bašić ↔ Kyrylo Dryshliuk · Zorya
- 69′Ivan Bendera ↔ Vladyslav Moroz · Epitsentr Kamianets-Podilskyi
- 85′Vitaliy Gorin ↔ Mykola Myronyuk · Epitsentr Kamianets-Podilskyi
- 85′Jon Ceberio ↔ Igor Kiryckhancev · Epitsentr Kamianets-Podilskyi
- 87′Dejan Popara ↔ Sallieu Bah · Zorya
- 87′Vasyl Kravets ↔ Ivan Nesterenko · Zorya
- 87′Andrija Janjic ↔ Igor Gorbach · Zorya
Match statistics
- 61Possession, %39
- 9Shots3
- 0On target0
- 3Corners0
- 0Yellow cards2
- 0Red cards0
Lineups
Zorya
- GKOleksandr Saputin
- DFJordan
- DFIgor Perduta
- DFArtem Machelyuk
- MFKyrylo Dryshliuk69′
- MFMaksym Boyko
- MFBogdan Kushnirenko
- MFSallieu Bah87′
- FWIgor Gorbach87′
- FWDomagoj Jelavic69′
- FWIvan Nesterenko87′
Came on (5)
- DFVasyl Kravets3′
- DFAndrija Janjic3′
- FWArtem Slesar21′
- MFJakov Bašić21′
- MFDejan Popara3′
Epitsentr Kamianets-Podilskyi
- GKNikita Fedotov
- DFIgor Kiryckhancev85′
- DFNil Coch
- DFOleksandr Klymets
- DFSerjan Repaj
- DFVladyslav Moroz69′
- MFMykola Myronyuk85′
- MFDaniil Vashchenko63′
- MFAndriy Lipovuz
- FWArtem Kozak63′
- FWMaksym Yevpak
Came on (5)
- DFVitaliy Gorin5′
- FWVadym Sydun27′
- MFJon Ceberio5′
- FWIvan Bendera21′
- MFKyrylo Kovalets27′
Form
- 24.10away · Shakhtar Donetsk0:0
- 17.10Chornomorets Odesa2:1
- 12.10away · Liviy Bereh3:1
- 19.09Dynamo Kyiv0:2
- 13.09away · Bukovyna Chernivtsi1:1
- 24.10FC Kharkiv1:2
- 18.10away · Karpaty2:2
- 10.10away · FC Kolos Kovalivka1:3
- 19.09Liviy Bereh0:2
- 14.09away · Dynamo Kyiv0:3
Head to head
- 12.04.2026Zorya — Epitsentr Kamianets-Podilskyi1:0
- 03.10.2025Epitsentr Kamianets-Podilskyi — Zorya1:2
Table
| # | Team | P | W | +/− | Pts |
|---|---|---|---|---|---|
| 5 | Karpaty | 11 | 5 | +14 | 19 |
| 6 | Zorya | 11 | 5 | 0 | 18 |
| 7 | LNZ Cherkasy | 10 | 4 | +1 | 15 |
| 9 | Chornomorets Odesa | 10 | 2 | -4 | 9 |
| 10 | Epitsentr Kamianets-Podilskyi | 11 | 2 | -5 | 9 |
| 11 | Bukovyna Chernivtsi | 10 | 1 | -5 | 9 |
Next matches
- Epitsentr Kamianets-PodilskyiKryvbas7 November · Ukrainian Premier League3230372The model's most likely outcome: 2Model's score: 1:22.7
- ZoryaLNZ Cherkasy8 November · Ukrainian Premier League353332XThe model's most likely outcome: XModel's score: 1:12.1
Ukrainian Premier League on the same day
- 2126532The most likely outcome came true: 20:2Final score 0:2. Model's score: 1:3.3.2
- 7020111The most likely outcome came true: 15:0Final score 5:0. Model's score: 2:0.2.9
This is the model’s statistical estimate, not a recommendation. An outcome at 50% will not happen in roughly 50 matches out of 100. How to read probabilities →