Spittal vs Maria Saal: result 2-2 and analysis
Landesliga - KarntenKärnten - 6Kick-off on August 30, 2019 at 05:00 PM (UTC)Goldeckstadion, Spittal an der Drau
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What was the result of Spittal vs Maria Saal?
Spittal and Maria Saal drew 2-2 on August 30, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Spittal have 2 wins, 0 draws and 4 defeats; Maria Saal have 2, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Ferlach(away) | 1-2 | Landesliga - Karnten |
| Aug 16, 2019 | St. Jakob Rosental(home) | 4-1 | Landesliga - Karnten |
| Aug 10, 2019 | Gmünd(home) | 1-3 | Landesliga - Karnten |
| Aug 7, 2019 | Dellach im Gailtal(away) | 0-3 | Landesliga - Karnten |
| Jul 30, 2019 | Bleiburg(home) | 3-1 | Landesliga - Karnten |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Dellach im Gailtal(home) | 4-2 | Landesliga - Karnten |
| Aug 18, 2019 | Bleiburg(away) | 0-3 | Landesliga - Karnten |
| Aug 10, 2019 | Treibach(home) | 2-2 | Landesliga - Karnten |
| Aug 2, 2019 | Austria Klagenfurt(away) | 1-1 | Landesliga - Karnten |
| Jul 27, 2019 | Feldkirchen Kärnten(home) | 3-0 | Landesliga - Karnten |
How many goals should we expect?
Spittal score 1.5 and concede 2.8 goals per match over their last 6; Maria Saal score 1.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spittal | 1.5 | 2.8 | 0 | 4/6 | 6/6 |
| Maria Saal | 1.7 | 2.3 | 1 | 3/6 | 5/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Spittal | 28 | 6 | 8 | 14 | 28 | 53 | 26 |
A question about Spittal vs Maria Saal?
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