Podillya Khmelnytskyi vs Metalurh Zaporizhya: result 1-2 and analysis
Druha LigaRegular Season - 3Kick-off on August 5, 2016 at 03:00 PM (UTC)Stadion Podillia, Khmelnytskyi
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What was the result of Podillya Khmelnytskyi vs Metalurh Zaporizhya?
Metalurh Zaporizhya won 1-2 on August 5, 2016.
What is the recent form of both teams?
Over their last 3 matches in all competitions, Podillya Khmelnytskyi have 1 win, 0 draws and 2 defeats; Metalurh Zaporizhya have 0, 10 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2016 | Balkany Zorya(away) | 1-5 | Druha Liga |
| Jul 24, 2016 | Sudnobudivnyk(home) | 2-0 | Druha Liga |
| Jul 20, 2016 | Nyva Vinnytsya(away) | 1-3 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2016 | Myr(home) | 0-1 | Druha Liga |
| Jul 24, 2016 | Krystal(away) | 1-2 | Druha Liga |
| Jul 20, 2016 | Zhemchuzhyna Odesa(home) | 1-2 | Cup |
| May 14, 2016 | Karpaty(home) | 0-0 | Premier League |
| May 6, 2016 | Dynamo Kyiv(away) | 0-0 | Premier League |
How many goals should we expect?
Podillya Khmelnytskyi score 1.3 and concede 2.7 goals per match over their last 3; Metalurh Zaporizhya score 0.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Podillya Khmelnytskyi | 1.3 | 2.7 | 1 | 2/3 | 2/3 |
| Metalurh Zaporizhya | 0.2 | 1.3 | 10 | 3/15 | 4/15 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
Podillya Khmelnytskyi sit 4th in Druha Liga (13 points from 10 matches) and Metalurh Zaporizhya sit 4th (12 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Podillya Khmelnytskyi | 10 | 4 | 1 | 5 | 17 | 21 | 13 |
| 4 | Metalurh Zaporizhya | 9 | 3 | 3 | 3 | 11 | 10 | 12 |
A question about Podillya Khmelnytskyi vs Metalurh Zaporizhya?
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