Zams vs Kirchbichl: result 1-2 and analysis
Landesliga - TirolTirol - 16Kick-off on March 18, 2022 at 07:00 PM (UTC)Eurogast-Grissemann-Arena Zams, Zams
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What was the result of Zams vs Kirchbichl?
Kirchbichl won 1-2 on March 18, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zams have 1 win, 2 draws and 12 defeats; Kirchbichl have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Union Innsbruck(home) | 0-3 | Landesliga - Tirol |
| Oct 20, 2021 | Kundl(home) | 0-2 | Landesliga - Tirol |
| Oct 17, 2021 | Völs(away) | 0-3 | Landesliga - Tirol |
| Oct 1, 2021 | Kematen(away) | 3-3 | Landesliga - Tirol |
| Sep 24, 2021 | Mils(home) | 0-5 | Landesliga - Tirol |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Kundl(home) | 0-0 | Landesliga - Tirol |
| Oct 16, 2021 | Kematen(away) | 0-2 | Landesliga - Tirol |
| Oct 10, 2021 | Mils(home) | 0-3 | Landesliga - Tirol |
| Oct 2, 2021 | Silz / Mötz(away) | 2-5 | Landesliga - Tirol |
| Sep 25, 2021 | Prutz / Serfaus(home) | 3-0 | Landesliga - Tirol |
What does the head-to-head say?
Across the last 2 meetings: 0 Zams wins, 0 draws, 2 Kirchbichl wins.
| Date | Score | Competition |
|---|---|---|
| Jul 24, 2021 | Kirchbichl 1-0 Zams | Landesliga - Tirol |
| Aug 31, 2019 | Zams 2-5 Kirchbichl | Landesliga - Tirol |
How many goals should we expect?
Zams score 0.7 and concede 2.6 goals per match over their last 15; Kirchbichl score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zams | 0.7 | 2.6 | 1 | 6/15 | 9/15 |
| Kirchbichl | 1.7 | 1.4 | 6 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Zams vs Kirchbichl?
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