FC Mariupol vs Kryvbas: result 1-3 and analysis
Premier LeagueRegular Season - 3Kick-off on July 23, 2011 at 02:00 PM (UTC)Stadion im. Volodymyra Boyka, Mariupol'
Full time
What was the result of FC Mariupol vs Kryvbas?
Kryvbas won 1-3 on July 23, 2011.
Goalscorers
- 13′Valerii FedorchukKryvbas
- 31′K. PetrovFC Mariupol (o.g.)
- 76′Sergey SamodinKryvbas
- 88′Rinar ValeevKryvbas
Official lineup for FC Mariupol vs Kryvbas
The starting elevens fielded at kick-off.
FC Mariupol
- 11Ruslan Fomin
- 2Oleksiy Polyansky
- 5Adrian Pukanych
- 7Sergiy Shevchuk
- 8I. Chaikovskyi
- 9K. Yaroshenko
- 17V. Fedotov
- 3Dmitriy Nevmyvaka
- 20M. Kovaliov
- 91B. Butko
- 23Igor Bazhan
Kryvbas
- 8Sergey Samodin
- 39V. Lysenko
- 7Valerii Fedorchuk
- 10Ruslan Kostishin
- 11Mladen Bartulović
- 20J. Kankava
- 28Darijan Matič
- 5K. Petrov
- 23Ucha Lobzhanidze
- 44Vitali Lysytsky
- 71D. Boyko
What is the recent form of both teams?
Over their last 2 matches in all competitions, FC Mariupol have 1 win, 1 draw and 0 defeats; Kryvbas have 1, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 17, 2011 | Arsenal Kyiv(away) | 0-0 | Premier League |
| Jul 9, 2011 | Karpaty(home) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 15, 2011 | Dnipro Dnipropetrovsk(home) | 0-2 | Premier League |
| Jul 9, 2011 | Volyn(home) | 1-0 | Premier League |
How many goals should we expect?
FC Mariupol score 0.5 and concede 0.0 goals per match over their last 2; Kryvbas score 0.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Mariupol | 0.5 | 0.0 | 2 | 0/2 | 0/2 |
| Kryvbas | 0.5 | 1.0 | 1 | 0/2 | 0/2 |
Over the last 2 matches in all competitions.
A question about FC Mariupol vs Kryvbas?
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