Viktoria Žižkov vs Pardubice: result 4-4 and analysis
FNLRegular Season - 8Kick-off on September 16, 2018 at 08:15 AM (UTC)eFotbal aréna, Praha
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What was the result of Viktoria Žižkov vs Pardubice?
Viktoria Žižkov and Pardubice drew 4-4 on September 16, 2018.
Goalscorers
- 7′P. MusaViktoria Žižkov
- 31′P. MusaViktoria Žižkov
- 39′E. TischlerPardubice
- 48′M. ČermákViktoria Žižkov
- 54′P. ČernýPardubice
- 59′E. TischlerPardubice
- 90′M. PetráňPardubice
- 90′80496Viktoria Žižkov (pen.)
What is the recent form of both teams?
Over their last 7 matches in all competitions, Viktoria Žižkov have 1 win, 3 draws and 3 defeats; Pardubice have 4, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Baník Sokolov(away) | 0-1 | FNL |
| Aug 26, 2018 | Znojmo(home) | 1-1 | FNL |
| Aug 17, 2018 | Ústí nad Labem(away) | 1-4 | FNL |
| Aug 12, 2018 | Zbrojovka Brno(home) | 3-2 | FNL |
| Aug 4, 2018 | Prostějov(away) | 0-0 | FNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | České Budějovice(home) | 2-0 | FNL |
| Aug 26, 2018 | Vlašim(away) | 0-2 | FNL |
| Aug 18, 2018 | Chrudim(home) | 4-0 | FNL |
| Aug 11, 2018 | Třinec(away) | 2-1 | FNL |
| Aug 4, 2018 | Varnsdorf(home) | 0-0 | FNL |
How many goals should we expect?
Viktoria Žižkov score 1.0 and concede 1.6 goals per match over their last 7; Pardubice score 1.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viktoria Žižkov | 1.0 | 1.6 | 1 | 5/7 | 3/7 |
| Pardubice | 1.6 | 0.7 | 3 | 2/7 | 3/7 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Viktoria Žižkov | 30 | 12 | 5 | 13 | 38 | 52 | 41 |
A question about Viktoria Žižkov vs Pardubice?
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