Cham vs SC Kriens: result 1-4 and analysis
1. Liga PromotionRegular Season - 22Kick-off on March 29, 2018 at 05:30 PM (UTC)Stadion Eizmoos, Cham
Full time
What was the result of Cham vs SC Kriens?
SC Kriens won 1-4 on March 29, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cham have 6 wins, 5 draws and 4 defeats; SC Kriens have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2018 | La Chaux-de-Fonds(away) | 3-0 | 1. Liga Promotion |
| Mar 17, 2018 | Köniz(home) | 3-3 | 1. Liga Promotion |
| Mar 14, 2018 | Brühl(home) | 0-0 | 1. Liga Promotion |
| Mar 10, 2018 | Sion II(away) | 2-1 | 1. Liga Promotion |
| Nov 18, 2017 | YF Juventus(away) | 1-4 | 1. Liga Promotion |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2018 | Köniz(home) | 2-3 | 1. Liga Promotion |
| Mar 17, 2018 | Brühl(away) | 0-1 | 1. Liga Promotion |
| Mar 10, 2018 | Bavois(home) | 3-1 | 1. Liga Promotion |
| Mar 3, 2018 | Zürich II(away) | 1-3 | 1. Liga Promotion |
| Nov 18, 2017 | Yverdon Sport(home) | 2-1 | 1. Liga Promotion |
What does the head-to-head say?
In the last meeting: 0 Cham wins, 0 draws, 1 SC Kriens win.
| Date | Score | Competition |
|---|---|---|
| Sep 9, 2017 | SC Kriens 5-2 Cham | 1. Liga Promotion |
How many goals should we expect?
Cham score 2.2 and concede 2.1 goals per match over their last 15; SC Kriens score 2.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cham | 2.2 | 2.1 | 3 | 12/15 | 13/15 |
| SC Kriens | 2.1 | 1.4 | 3 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Cham | 11 | 7 | 1 | 3 | 19 | 14 | 22 |
A question about Cham vs SC Kriens?
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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