Nitra vs Senica: result 1-4 and analysis
Super LigaRegular Season - 11Kick-off on October 5, 2019 at 03:00 PM (UTC)Štadión pod Zoborom, Nitra
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What was the result of Nitra vs Senica?
Senica won 1-4 on October 5, 2019.
Goalscorers
- 11′S. SulleySenica
- 35′S. El MoudaneSenica
- 51′T. YenneNitra (o.g.)
- 63′J. DidibaSenica
- 78′F. CastañedaSenica
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nitra have 3 wins, 2 draws and 10 defeats; Senica have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Slovan Bratislava(away) | 0-5 | Super Liga |
| Sep 21, 2019 | Zemplín Michalovce(home) | 0-2 | Super Liga |
| Sep 14, 2019 | Pohronie(away) | 3-0 | Super Liga |
| Sep 1, 2019 | AS Trencin(away) | 2-2 | Super Liga |
| Aug 25, 2019 | Dunajska Streda(home) | 1-2 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Pohronie(home) | 1-0 | Super Liga |
| Sep 18, 2019 | Spartak Trnava(away) | 0-0 | Super Liga |
| Sep 14, 2019 | Dunajska Streda(home) | 0-1 | Super Liga |
| Aug 31, 2019 | Žilina(away) | 0-5 | Super Liga |
| Aug 23, 2019 | Zlaté Moravce(home) | 1-3 | Super Liga |
What does the head-to-head say?
Across the last 4 meetings: 1 Nitra win(s), 1 draw(s), 2 Senica win(s).
| Date | Score | Competition |
|---|---|---|
| May 11, 2019 | Nitra 2-3 Senica | Super Liga |
| Apr 13, 2019 | Senica 4-1 Nitra | Super Liga |
| Dec 1, 2018 | Nitra 1-0 Senica | Super Liga |
| Aug 25, 2018 | Senica 1-1 Nitra | Super Liga |
How many goals should we expect?
Nitra score 1.1 and concede 1.9 goals per match over their last 15; Senica score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nitra | 1.1 | 1.9 | 1 | 6/15 | 9/15 |
| Senica | 1.3 | 1.6 | 4 | 6/15 | 10/15 |
Over the last 15 matches in all competitions.
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