Krems vs Neusiedl: result 4-2 and analysis
Regionalliga - OstOst - 13Kick-off on October 21, 2022 at 06:00 PM (UTC)Sepp-Doll-Stadion, Krems
Full time
What was the result of Krems vs Neusiedl?
Krems won 4-2 on October 21, 2022.
Goalscorers
- 20′B. RassKrems
- 62′S. TemperKrems
- 74′P. KienzlNeusiedl
- 80′P. KienzlNeusiedl
- 88′J. SchibanyKrems
- 90′J. SchibanyKrems (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Krems have 4 wins, 2 draws and 9 defeats; Neusiedl have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2022 | SC Wiener Neustadt(away) | 1-0 | Regionalliga - Ost |
| Oct 7, 2022 | Wiener SC(home) | 1-1 | Regionalliga - Ost |
| Sep 30, 2022 | Draßburg(away) | 0-3 | Regionalliga - Ost |
| Sep 24, 2022 | Mauerwerk(away) | 0-5 | Regionalliga - Ost |
| Sep 16, 2022 | Mannsdorf-Großenzersdorf(home) | 1-2 | Regionalliga - Ost |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2022 | Mauerwerk(home) | 1-2 | Regionalliga - Ost |
| Oct 7, 2022 | Mannsdorf-Großenzersdorf(away) | 0-1 | Regionalliga - Ost |
| Sep 30, 2022 | Wiener Viktoria(home) | 1-1 | Regionalliga - Ost |
| Sep 23, 2022 | Siegendorf(away) | 2-0 | Regionalliga - Ost |
| Sep 16, 2022 | Bruck/Leitha(home) | 2-2 | Regionalliga - Ost |
How many goals should we expect?
Krems score 1.4 and concede 2.4 goals per match over their last 15; Neusiedl score 1.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krems | 1.4 | 2.4 | 3 | 9/15 | 11/15 |
| Neusiedl | 1.4 | 1.7 | 2 | 9/15 | 9/15 |
Over the last 15 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