Kryvbas KR vs Podillya Khmelnytskyi: result 3-2 and analysis
Persha LigaRegular Season - 6Kick-off on August 27, 2021 at 02:30 PM (UTC)Stadion Hirnyk, Kryvyi Rih
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What was the result of Kryvbas KR vs Podillya Khmelnytskyi?
Kryvbas KR won 3-2 on August 27, 2021.
Goalscorers
- 5′Denys OstrovskyiPodillya Khmelnytskyi
- 13′I. KarpenkoPodillya Khmelnytskyi
- 43′D. LovrićKryvbas KR
- 50′R. DebelkoKryvbas KR
- 75′V. RiabovKryvbas KR
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kryvbas KR have 8 wins, 4 draws and 3 defeats; Podillya Khmelnytskyi have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2021 | Ahrobiznes Volochysk(away) | 0-0 | Persha Liga |
| Aug 18, 2021 | Mykolaiv(away) | 1-1 | Cup |
| Aug 14, 2021 | Kremin'(home) | 4-1 | Persha Liga |
| Aug 7, 2021 | Hirnyk-Sport(away) | 2-1 | Persha Liga |
| Aug 1, 2021 | Nyva Ternopil(home) | 1-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2021 | Polessya(home) | 1-0 | Persha Liga |
| Aug 18, 2021 | Epitsentr Dunayivtsi(away) | 0-3 | Cup |
| Aug 13, 2021 | Kramatorsk(away) | 1-2 | Persha Liga |
| Aug 8, 2021 | VPK-Ahro Shevchenkivka(home) | 3-0 | Persha Liga |
| Aug 2, 2021 | Volyn(away) | 0-1 | Persha Liga |
How many goals should we expect?
Kryvbas KR score 2.0 and concede 1.1 goals per match over their last 15; Podillya Khmelnytskyi score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kryvbas KR | 2.0 | 1.1 | 5 | 8/15 | 9/15 |
| Podillya Khmelnytskyi | 1.3 | 0.7 | 9 | 3/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Podillya Khmelnytskyi | 30 | 4 | 9 | 17 | 20 | 45 | 21 |
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