Illichivets' II vs Sudnobudivnyk: result 4-0 and analysis
Druha LigaMatchday 9Kick-off on September 14, 2016 at 01:00 PM (UTC)Stadion Zakhidnyi, Mariupol'
Full time
What was the result of Illichivets' II vs Sudnobudivnyk?
Illichivets' II won 4-0 on September 14, 2016.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Illichivets' II have 2 wins, 0 draws and 5 defeats; Sudnobudivnyk have 2, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2016 | Enerhiya Nova Kakhovka(away) | 0-3 | Druha Liga |
| Aug 27, 2016 | Real Pharm(home) | 3-1 | Druha Liga |
| Aug 19, 2016 | Teplovyk(away) | 1-0 | Druha Liga |
| Aug 15, 2016 | Arsenal Bila Tserkva(home) | 2-4 | Druha Liga |
| Aug 6, 2016 | Inhulets II(away) | 0-3 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2016 | Enerhiya Nova Kakhovka(home) | 1-0 | Druha Liga |
| Sep 3, 2016 | Real Pharm(away) | 1-2 | Druha Liga |
| Aug 26, 2016 | Teplovyk(home) | 2-2 | Druha Liga |
| Aug 20, 2016 | Arsenal Bila Tserkva(away) | 1-4 | Druha Liga |
| Aug 14, 2016 | Inhulets II(home) | 0-0 | Druha Liga |
How many goals should we expect?
Illichivets' II score 1.0 and concede 2.7 goals per match over their last 7; Sudnobudivnyk score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Illichivets' II | 1.0 | 2.7 | 1 | 3/7 | 6/7 |
| Sudnobudivnyk | 0.9 | 1.5 | 2 | 4/8 | 4/8 |
Over the last 7 matches in all competitions.
A question about Illichivets' II vs Sudnobudivnyk?
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