Podillya Khmelnytskyi vs Teplovyk: result 2-1 and analysis
Druha LigaRegular Season - 14Kick-off on October 15, 2016 at 11:00 AM (UTC)Stadion Podillia, Khmelnytskyi
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What was the result of Podillya Khmelnytskyi vs Teplovyk?
Podillya Khmelnytskyi won 2-1 on October 15, 2016.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Podillya Khmelnytskyi have 1 win, 1 draw and 11 defeats; Teplovyk have 5, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2016 | Arsenal Bila Tserkva(away) | 0-3 | Druha Liga |
| Oct 1, 2016 | Inhulets II(home) | 0-3 | Druha Liga |
| Sep 25, 2016 | Nyva Vinnytsya(away) | 0-4 | Druha Liga |
| Sep 18, 2016 | Ruh Lviv(home) | 0-2 | Druha Liga |
| Sep 8, 2016 | Myr(away) | 1-3 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Myr(home) | 1-0 | Druha Liga |
| Oct 1, 2016 | Krystal(away) | 0-2 | Druha Liga |
| Sep 26, 2016 | Zhemchuzhyna Odesa(home) | 3-4 | Druha Liga |
| Sep 18, 2016 | Kremin'(away) | 0-1 | Druha Liga |
| Sep 13, 2016 | Nikopol(home) | 1-0 | Druha Liga |
How many goals should we expect?
Podillya Khmelnytskyi score 0.5 and concede 2.7 goals per match over their last 13; Teplovyk score 1.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Podillya Khmelnytskyi | 0.5 | 2.7 | 2 | 4/13 | 9/13 |
| Teplovyk | 1.8 | 1.2 | 4 | 4/12 | 6/12 |
Over the last 13 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 Podillya Khmelnytskyi vs Teplovyk?
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