Mutschellen vs Einsiedeln: result 5-0 and analysis
2. Liga Interregional - Group 5Group 5 - 7Kick-off on October 2, 2021 at 04:15 PM (UTC)Sportzentrum Burkertsmatt, Widen
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What was the result of Mutschellen vs Einsiedeln?
Mutschellen won 5-0 on October 2, 2021.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Mutschellen have 2 wins, 1 draw and 4 defeats; Einsiedeln have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Zofingen(away) | 2-2 | 2. Liga Interregional - Group 5 |
| Sep 18, 2021 | Muri(home) | 1-0 | 2. Liga Interregional - Group 5 |
| Sep 11, 2021 | Dietikon(away) | 0-3 | 2. Liga Interregional - Group 5 |
| Sep 4, 2021 | Wangen(home) | 1-0 | 2. Liga Interregional - Group 5 |
| Aug 28, 2021 | Schöftland(away) | 0-3 | 2. Liga Interregional - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Grenchen(home) | 0-2 | 2. Liga Interregional - Group 5 |
| Sep 18, 2021 | Unterstrass(home) | 1-5 | 2. Liga Interregional - Group 5 |
| Sep 11, 2021 | Zofingen(home) | 0-2 | 2. Liga Interregional - Group 5 |
| Sep 4, 2021 | Muri(home) | 0-2 | 2. Liga Interregional - Group 5 |
| Aug 28, 2021 | Dietikon(away) | 0-1 | 2. Liga Interregional - Group 5 |
How many goals should we expect?
Mutschellen score 0.6 and concede 1.9 goals per match over their last 7; Einsiedeln score 0.9 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mutschellen | 0.6 | 1.9 | 2 | 1/7 | 4/7 |
| Einsiedeln | 0.9 | 2.4 | 1 | 7/15 | 9/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Einsiedeln | 12 | 3 | 1 | 8 | 15 | 33 | 10 |
A question about Mutschellen vs Einsiedeln?
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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