Nikopol vs Podillya Khmelnytskyi: result 3-0 and analysis
Druha LigaRegular Season - 4Kick-off on August 14, 2016 at 02:30 PM (UTC)Stadion Elektrometalurh-NFZ, Nikopol'
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What was the result of Nikopol vs Podillya Khmelnytskyi?
Nikopol won 3-0 on August 14, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nikopol have 1 win, 5 draws and 9 defeats; Podillya Khmelnytskyi have 1, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2016 | Myr(away) | 1-3 | Druha Liga |
| Jul 30, 2016 | Krystal(home) | 1-1 | Druha Liga |
| Jul 24, 2016 | Zhemchuzhyna Odesa(away) | 0-3 | Druha Liga |
| Jul 20, 2016 | Ahrobiznes TSK Romny(away) | 1-3 | Cup |
| Jun 1, 2016 | Krystal(away) | 2-3 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2016 | Metalurh Zaporizhya(home) | 1-2 | Druha Liga |
| 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 |
How many goals should we expect?
Nikopol score 0.7 and concede 1.8 goals per match over their last 15; Podillya Khmelnytskyi score 1.3 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nikopol | 0.7 | 1.8 | 3 | 8/15 | 6/15 |
| Podillya Khmelnytskyi | 1.3 | 2.5 | 1 | 3/4 | 3/4 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Podillya Khmelnytskyi | 9 | 4 | 1 | 4 | 16 | 19 | 13 |
A question about Nikopol vs Podillya Khmelnytskyi?
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