Liestal vs Spiez: result 4-3 and analysis
2. Liga Interregional - Group 3Group 3 - 12Kick-off on November 6, 2021 at 03:00 PM (UTC)Stadion Gitterli, Liestal
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What was the result of Liestal vs Spiez?
Liestal won 4-3 on November 6, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Liestal have 5 wins, 3 draws and 7 defeats; Spiez have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2021 | Konolfingen(away) | 1-1 | 2. Liga Interregional - Group 3 |
| Oct 23, 2021 | Lerchenfeld(home) | 5-2 | 2. Liga Interregional - Group 3 |
| Oct 15, 2021 | Courtételle(home) | 5-1 | 2. Liga Interregional - Group 3 |
| Oct 9, 2021 | Muttenz(home) | 1-4 | 2. Liga Interregional - Group 3 |
| Oct 3, 2021 | Concordia Basel(away) | 0-1 | 2. Liga Interregional - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2021 | Lerchenfeld(away) | 1-2 | 2. Liga Interregional - Group 3 |
| Oct 24, 2021 | Muttenz(home) | 2-2 | 2. Liga Interregional - Group 3 |
| Oct 17, 2021 | Ajoie-Monterri(away) | 3-2 | 2. Liga Interregional - Group 3 |
| Oct 9, 2021 | Bubendorf(home) | 4-4 | 2. Liga Interregional - Group 3 |
| Oct 2, 2021 | Binningen(away) | 1-4 | 2. Liga Interregional - Group 3 |
What does the head-to-head say?
In the last meeting: 0 Liestal wins, 0 draws, 1 Spiez win.
| Date | Score | Competition |
|---|---|---|
| Jun 26, 2021 | Liestal 0-2 Spiez | 2. Liga Interregional - Group 3 |
How many goals should we expect?
Liestal score 1.5 and concede 2.2 goals per match over their last 15; Spiez score 1.9 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Liestal | 1.5 | 2.2 | 0 | 10/15 | 9/15 |
| Spiez | 1.9 | 2.5 | 3 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Liestal vs Spiez?
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