Stripfing vs Traiskirchen: result 2-1 and analysis
Regionalliga - OstOst - 11Kick-off on October 12, 2019 at 01:30 PM (UTC)FAC-Platz, Wien
Full time
What was the result of Stripfing vs Traiskirchen?
Stripfing won 2-1 on October 12, 2019.
Goalscorers
- 5′R. LinhartTraiskirchen
- 42′Daniel HautzingerStripfing
- 90′FlavioStripfing
What is the recent form of both teams?
Over their last 11 matches in all competitions, Stripfing have 5 wins, 3 draws and 3 defeats; Traiskirchen have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Admira II(away) | 0-0 | Regionalliga - Ost |
| Sep 28, 2019 | Mattersburg II(home) | 1-0 | Regionalliga - Ost |
| Sep 21, 2019 | Leobendorf(away) | 3-2 | Regionalliga - Ost |
| Sep 13, 2019 | Wiener SC(away) | 1-2 | Regionalliga - Ost |
| Sep 7, 2019 | Team Wiener Linien(home) | 3-0 | Regionalliga - Ost |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2019 | Wiener SC(home) | 1-3 | Regionalliga - Ost |
| Sep 28, 2019 | Team Wiener Linien(away) | 0-1 | Regionalliga - Ost |
| Sep 20, 2019 | Bruck/Leitha(home) | 0-1 | Regionalliga - Ost |
| Sep 13, 2019 | Ebreichsdorf(away) | 1-3 | Regionalliga - Ost |
| Sep 6, 2019 | SC Wiener Neustadt(home) | 3-0 | Regionalliga - Ost |
How many goals should we expect?
Stripfing score 1.6 and concede 0.8 goals per match over their last 11; Traiskirchen score 1.4 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stripfing | 1.6 | 0.8 | 4 | 5/11 | 5/11 |
| Traiskirchen | 1.4 | 2.4 | 1 | 10/15 | 11/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Traiskirchen | 4 | 2 | 1 | 1 | 12 | 11 | 7 |
| 11 | Traiskirchen | 2 | 0 | 1 | 1 | 3 | 4 | 1 |
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