Gaflenz vs St. Pölten II: result 2-3 and analysis
Landesliga - NiederosterreichNiederösterreich - 8Kick-off on September 21, 2019 at 02:00 PM (UTC)Sportzentrum Gaflenz, Gaflenz
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What was the result of Gaflenz vs St. Pölten II?
St. Pölten II won 2-3 on September 21, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Gaflenz have 4 wins, 2 draws and 2 defeats; St. Pölten II 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 | Schrems(away) | 1-1 | Landesliga - Niederosterreich |
| Sep 7, 2019 | USC Rohrbach(home) | 3-0 | Landesliga - Niederosterreich |
| Aug 30, 2019 | Ortmann(away) | 0-2 | Landesliga - Niederosterreich |
| Aug 25, 2019 | Spratzern(home) | 2-1 | Landesliga - Niederosterreich |
| Aug 17, 2019 | Mannersdorf(away) | 4-2 | Landesliga - Niederosterreich |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2019 | Waidhofen / Thaya(home) | 4-0 | Landesliga - Niederosterreich |
| Sep 7, 2019 | Zwettl(away) | 4-1 | Landesliga - Niederosterreich |
| Aug 30, 2019 | Krems(away) | 1-1 | Landesliga - Niederosterreich |
| Aug 23, 2019 | Scheiblingkirchen(away) | 0-3 | Landesliga - Niederosterreich |
| Aug 18, 2019 | Retz(home) | 1-3 | Landesliga - Niederosterreich |
How many goals should we expect?
Gaflenz score 1.6 and concede 1.1 goals per match over their last 8; St. Pölten II score 1.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gaflenz | 1.6 | 1.1 | 2 | 5/8 | 4/8 |
| St. Pölten II | 1.5 | 2.0 | 2 | 8/15 | 11/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | St. Pölten II | 28 | 10 | 8 | 10 | 47 | 39 | 38 |
A question about Gaflenz vs St. Pölten II?
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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