Columbia Floridsdorf vs Neusiedl: result 1-3 and analysis
Regionalliga - OstRegular Season - 9Kick-off on October 1, 2011 at 01:00 PM (UTC)Franz Grasberger-Stadion
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What was the result of Columbia Floridsdorf vs Neusiedl?
Neusiedl won 1-3 on October 1, 2011.
Goalscorers
- 14′Philippe WeissColumbia Floridsdorf
- 45′Michael KollerNeusiedl
- 73′P. DerdakNeusiedl
- 90′P. DerdakNeusiedl
What is the recent form of both teams?
Over their last 8 matches in all competitions, Columbia Floridsdorf have 1 wins, 0 draws and 7 defeats; Neusiedl have 3, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2011 | Schwechat(away) | 0-3 | Regionalliga - Ost |
| Sep 17, 2011 | Wiener SK(home) | 1-4 | Regionalliga - Ost |
| Sep 9, 2011 | SV Horn(away) | 0-8 | Regionalliga - Ost |
| Sep 1, 2011 | Austria Vienna (Am)(away) | 0-3 | Regionalliga - Ost |
| Aug 27, 2011 | Mattersburg II(home) | 2-0 | Regionalliga - Ost |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2011 | Austria Vienna (Am)(home) | 2-1 | Regionalliga - Ost |
| Sep 16, 2011 | Mattersburg II(away) | 0-2 | Regionalliga - Ost |
| Sep 9, 2011 | Ritzing(home) | 3-1 | Regionalliga - Ost |
| Sep 1, 2011 | SKU Amstetten(away) | 3-1 | Regionalliga - Ost |
| Aug 26, 2011 | Parndorf(home) | 0-2 | Regionalliga - Ost |
How many goals should we expect?
Columbia Floridsdorf score 0.4 and concede 3.0 goals per match over their last 8; Neusiedl score 1.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Columbia Floridsdorf | 0.4 | 3.0 | 1 | 1/8 | 5/8 |
| Neusiedl | 1.1 | 1.8 | 0 | 5/9 | 5/9 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Neusiedl | 32 | 8 | 5 | 19 | 46 | 72 | 29 |
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