Kilb vs Gaflenz: result 4-0 and analysis
Landesliga - NiederosterreichNiederösterreich - 9Kick-off on September 27, 2019 at 05:30 PM (UTC)Waldstadion Kilb, Kilb
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What was the result of Kilb vs Gaflenz?
Kilb won 4-0 on September 27, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Kilb have 2 wins, 1 draw and 5 defeats; Gaflenz have 4, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2019 | Waidhofen / Thaya(away) | 2-2 | Landesliga - Niederosterreich |
| Sep 14, 2019 | Zwettl(home) | 2-1 | Landesliga - Niederosterreich |
| Sep 6, 2019 | Krems(away) | 0-1 | Landesliga - Niederosterreich |
| Aug 30, 2019 | Scheiblingkirchen(away) | 2-0 | Landesliga - Niederosterreich |
| Aug 24, 2019 | Retz(away) | 0-4 | Landesliga - Niederosterreich |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | St. Pölten II(home) | 2-3 | Landesliga - Niederosterreich |
| 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 |
How many goals should we expect?
Kilb score 0.8 and concede 1.9 goals per match over their last 8; Gaflenz score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kilb | 0.8 | 1.9 | 1 | 2/8 | 4/8 |
| Gaflenz | 1.7 | 1.3 | 2 | 6/9 | 5/9 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Kilb | 28 | 7 | 8 | 13 | 39 | 56 | 29 |
A question about Kilb vs Gaflenz?
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