Illichivets' II vs Podillya Khmelnytskyi: result 3-2 and analysis
Druha LigaRegular Season - 17Kick-off on November 6, 2016 at 11:00 AM (UTC)Stadion Zakhidnyi, Mariupol'
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What was the result of Illichivets' II vs Podillya Khmelnytskyi?
Illichivets' II won 3-2 on November 6, 2016.
Goalscorers
- 18′Vasyl ShtanderIllichivets' II
- 55′Alisher YakubovPodillya Khmelnytskyi
- 73′Vladyslav SavinIllichivets' II
- 76′Kirilo-Illya BabakPodillya Khmelnytskyi
- 90′M. RyashkoIllichivets' II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Illichivets' II have 4 wins, 1 draws and 10 defeats; Podillya Khmelnytskyi have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Myr(away) | 0-2 | Druha Liga |
| Oct 23, 2016 | Krystal(home) | 1-2 | Druha Liga |
| Oct 15, 2016 | Zhemchuzhyna Odesa(away) | 1-3 | Druha Liga |
| Oct 9, 2016 | Kremin'(home) | 1-2 | Druha Liga |
| Oct 1, 2016 | Nikopol(away) | 1-2 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Enerhiya Nova Kakhovka(home) | 0-2 | Druha Liga |
| Oct 21, 2016 | Real Pharm(away) | 0-2 | Druha Liga |
| Oct 15, 2016 | Teplovyk(home) | 2-1 | Druha Liga |
| Oct 7, 2016 | Arsenal Bila Tserkva(away) | 0-3 | Druha Liga |
| Oct 1, 2016 | Inhulets II(home) | 0-3 | Druha Liga |
How many goals should we expect?
Illichivets' II score 1.3 and concede 2.1 goals per match over their last 15; Podillya Khmelnytskyi score 0.5 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Illichivets' II | 1.3 | 2.1 | 2 | 9/15 | 12/15 |
| Podillya Khmelnytskyi | 0.5 | 2.5 | 2 | 4/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Podillya Khmelnytskyi | 2 | 1 | 0 | 1 | 4 | 4 | 3 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy