Krems vs Retz: result 0-1 and analysis
Landesliga - NiederosterreichNiederösterreich - 8Kick-off on September 20, 2019 at 05:30 PM (UTC)Sepp-Doll-Stadion, Krems
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What was the result of Krems vs Retz?
Retz won 0-1 on September 20, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Krems have 5 wins, 2 draws and 3 defeats; Retz have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2019 | Langenrohr(away) | 0-0 | Landesliga - Niederosterreich |
| Sep 6, 2019 | Kilb(home) | 1-0 | Landesliga - Niederosterreich |
| Aug 30, 2019 | St. Pölten II(home) | 1-1 | Landesliga - Niederosterreich |
| Aug 22, 2019 | Schrems(home) | 5-2 | Landesliga - Niederosterreich |
| Aug 17, 2019 | USC Rohrbach(away) | 0-1 | Landesliga - Niederosterreich |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Scheiblingkirchen(home) | 1-1 | Landesliga - Niederosterreich |
| Sep 6, 2019 | Kottingbrunn(away) | 0-5 | Landesliga - Niederosterreich |
| Sep 1, 2019 | Langenrohr(away) | 0-0 | Landesliga - Niederosterreich |
| Aug 27, 2019 | Schrems(away) | 0-0 | Landesliga - Niederosterreich |
| Aug 24, 2019 | Kilb(home) | 4-0 | Landesliga - Niederosterreich |
How many goals should we expect?
Krems score 3.1 and concede 1.3 goals per match over their last 10; Retz score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krems | 3.1 | 1.3 | 3 | 5/10 | 5/10 |
| Retz | 1.3 | 1.8 | 4 | 9/15 | 10/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Retz | 30 | 22 | 3 | 5 | 70 | 23 | 69 |
A question about Krems vs Retz?
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