Teplice vs Dukla Praha: result 5-2 and analysis
Czech LigaRegular Season - 2Kick-off on July 29, 2018 at 01:00 PM (UTC)AGC Aréna Na Stínadlech, Teplice
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What was the result of Teplice vs Dukla Praha?
Teplice won 5-2 on July 29, 2018.
Goalscorers
- 19′D. VaněčekTeplice
- 38′T. VondrášekTeplice
- 50′J. HoraTeplice
- 56′J. HoraTeplice
- 65′I. SchranzDukla Praha
- 79′D. VaněčekTeplice
- 89′L. HolíkDukla Praha
Official lineup for Teplice vs Dukla Praha
The starting elevens fielded at kick-off.
Teplice
- 28D. Vaněček
- 5Admir Ljevaković
- 13A. Král
- 14P. Žitný
- 20D. Trubač
- 23J. Hora
- 27T. Kučera
- 17T. Vondrášek
- 18M. Jeřábek
- 24J. Krob
- 21Jakub Diviš
Dukla Praha
- 9J. Holenda
- 5M. Hanousek
- 11David Breda
- 15D. Tetour
- 19L. Holík
- 21D. Douděra
- 4M. Chlumecký
- 14I. Ostojić
- 20Branislav Milošević
- 39Jakub Podaný
- 1F. Rada
What is the recent form of both teams?
In their last match in all competitions, Teplice have 0 wins, 1 draw and 0 defeats; Dukla Praha have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2018 | Příbram(away) | 1-1 | Czech Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2018 | Plzen(home) | 1-3 | Czech Liga |
How many goals should we expect?
Teplice score 1.0 and concede 1.0 goals per match in their last match; Dukla Praha score 1.0 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Teplice | 1.0 | 1.0 | 0 | 1/1 | 0/1 |
| Dukla Praha | 1.0 | 3.0 | 0 | 1/1 | 1/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Teplice | 12 | 5 | 3 | 4 | 18 | 17 | 18 |
A question about Teplice vs Dukla Praha?
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