Tavriya vs Krystal: result 1-1 and analysis
Druha Liga - Group BRegular Season - 4Kick-off on August 10, 2018 at 03:00 PM (UTC)Stadion Mashynobudivnyk, Beryslav
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What was the result of Tavriya vs Krystal?
Tavriya and Krystal drew 1-1 on August 10, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tavriya have 11 wins, 3 draws and 1 defeat; Krystal have 3, 11 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2018 | Enerhiya Nova Kakhovka(away) | 1-1 | Druha Liga - Group B |
| Jul 28, 2018 | Myr(home) | 2-1 | Druha Liga - Group B |
| Jul 22, 2018 | Kryvbas KR(away) | 3-3 | Druha Liga - Group B |
| Jul 17, 2018 | Chayka(home) | 1-0 | Cup |
| Jun 2, 2018 | Metalurh Zaporizhya(home) | 9-0 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2018 | Nikopol(home) | 3-1 | Druha Liga - Group B |
| Jul 29, 2018 | Kremin'(away) | 0-3 | Druha Liga - Group B |
| Jul 22, 2018 | Mykolaiv II(home) | 1-0 | Druha Liga - Group B |
| Jul 18, 2018 | Enerhiya Nova Kakhovka(away) | 1-0 | Cup |
| Jun 2, 2017 | Balkany Zorya(home) | 0-0 | Druha Liga |
How many goals should we expect?
Tavriya score 2.1 and concede 0.7 goals per match over their last 15; Krystal score 0.3 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tavriya | 2.1 | 0.7 | 10 | 5/15 | 6/15 |
| Krystal | 0.3 | 0.3 | 13 | 1/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Tavriya sit 5th in Druha Liga - Group B (33 points from 19 matches) and Krystal sit 15th (9 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Tavriya | 19 | 9 | 6 | 4 | 31 | 19 | 33 |
| 15 | Krystal | 20 | 2 | 3 | 15 | 19 | 36 | 9 |
A question about Tavriya vs Krystal?
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