Match

FC Mariupol vs Desna: result 0-1 and analysis

Persha LigaRegular Season - 7Kick-off on September 23, 2015 at 02:30 PM (UTC)Stadion im. Volodymyra Boyka, Mariupol'

FC Mariupol
0-1
Desna

Full time

What was the result of FC Mariupol vs Desna?

Desna won 0-1 on September 23, 2015.

Goalscorers

  • 31′Yevhen ChepurnenkoDesna

Official lineup for FC Mariupol vs Desna

The starting elevens fielded at kick-off.

FC Mariupol

  1. MM. Ilyuk
  1. DD. Myshnov
  2. VV. Koltsov
  1. KKyrylo Sydorenko
  2. II. Duts
  3. MM. Pysko
  4. SS. Vakulenko
  5. MM. Zhychykov
  6. YY. Efremov
  7. OO. Migunov
  1. YY. Galchuk

Desna

  1. OOleksandr Ivashchenko
  1. YYevhen Chepurnenko
  2. VVadym Bovtruk
  3. RRuslan Kisil
  1. VVadim Melnyk
  2. EEvgen Eliseev
  3. PP. Shchedrakov
  4. RR. Sukhomlynov
  5. VVadym Zhuk
  6. DDmytro Zaderetskyi
  1. SSerhii Sitalo
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What is the recent form of both teams?

Over their last 15 matches in all competitions, FC Mariupol have 4 wins, 4 draws and 7 defeats; Desna have 5, 7 and 3.

The competition is shown for every match: in pre-season, several of these games are friendlies.

FC Mariupol
DateOpponentScoreCompetition
Sep 19, 2015Naftovyk-Ukrnafta(home)1-1Persha Liga
Sep 14, 2015Mykolaiv(away)0-4Persha Liga
Aug 30, 2015Ternopil'(away)1-1Persha Liga
Aug 22, 2015Kryvbas KR(away)0-3Cup
Aug 15, 2015Cherkaskyi Dnipro(away)2-3Persha Liga
Desna
DateOpponentScoreCompetition
Sep 19, 2015Obolon'-Brovar(away)0-0Persha Liga
Sep 12, 2015Kryvbas KR(home)1-1Persha Liga
Aug 30, 2015Zirka(home)1-0Persha Liga
Aug 26, 2015Nyva Ternopil(away)0-2Persha Liga
Aug 22, 2015Vorskla Poltava(home)2-2Cup

How many goals should we expect?

FC Mariupol score 1.1 and concede 1.5 goals per match over their last 15; Desna score 1.5 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
FC Mariupol1.11.538/157/15
Desna1.51.1310/155/15

Over the last 15 matches in all competitions.

A question about FC Mariupol vs Desna?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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

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