Druzhba vs Kudrivka: result 0-0 and analysis
Druha LigaRegular Season - 13Kick-off on October 15, 2023 at 11:00 AM (UTC)
Full time
What was the result of Druzhba vs Kudrivka?
Druzhba and Kudrivka drew 0-0 on October 15, 2023.
Official lineup for Druzhba vs Kudrivka
The starting elevens fielded at kick-off.
Druzhba
- AA. Gryshchenko
- II. Somov
- MM. Kuba
- VV. Doronin
- AA. Storchous
- AA. Porokhnya
- OO. Bandurin
- VV. Yuzefovych
- VV. Shkinder
- AA. Kozlov
- MM. Tatarenko
Kudrivka
- VV. Berko
- DD. Harmash
- DD. Skepskyi
- YYevhen Chepurnenko
- KK. Kovalenko
- OO. Dolhopiatov
- OO. Rudenko
- MM. Serdyuk
- MM. Syrash
- VV. Plastun
- II. Kryknin
What is the recent form of both teams?
Over their last 12 matches in all competitions, Druzhba have 10 wins, 0 draws and 2 defeats; Kudrivka have 8, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2023 | Karpaty II(away) | 5-0 | Druha Liga |
| Oct 6, 2023 | Zvyahel(away) | 1-0 | Druha Liga |
| Sep 30, 2023 | Metalurh Zaporizhya II(home) | 9-1 | Druha Liga |
| Sep 24, 2023 | Real Pharm(away) | 1-0 | Druha Liga |
| Sep 17, 2023 | UCSA(home) | 2-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2023 | Zvyahel(home) | 0-4 | Druha Liga |
| Oct 6, 2023 | Metalurh Zaporizhya II(away) | 2-1 | Druha Liga |
| Sep 30, 2023 | Real Pharm(home) | 3-1 | Druha Liga |
| Sep 24, 2023 | UCSA(away) | 0-3 | Druha Liga |
| Sep 18, 2023 | Chayka(home) | 1-0 | Druha Liga |
How many goals should we expect?
Druzhba score 2.8 and concede 0.7 goals per match over their last 12; Kudrivka score 2.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Druzhba | 2.8 | 0.7 | 6 | 5/12 | 6/12 |
| Kudrivka | 2.1 | 1.2 | 6 | 5/14 | 9/14 |
Over the last 12 matches in all competitions.
A question about Druzhba vs Kudrivka?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy