Bayern München vs Ajax: result 1-1 and analysis
UEFA Champions LeagueGroup Stage - 2Kick-off on October 2, 2018 at 07:00 PM (UTC)Allianz Arena, München
Full time
What was the result of Bayern München vs Ajax?
Bayern München and Ajax drew 1-1 on October 2, 2018.
Goalscorers
- 4′M. HummelsBayern München
- 22′N. MazraouiAjax
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bayern München have 9 wins, 1 draws and 5 defeats; Ajax have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2018 | Hertha BSC(away) | 0-2 | Bundesliga |
| Sep 25, 2018 | FC Augsburg(home) | 1-1 | Bundesliga |
| Sep 22, 2018 | FC Schalke 04(away) | 2-0 | Bundesliga |
| Sep 19, 2018 | Benfica(away) | 2-0 | UEFA Champions League |
| Sep 15, 2018 | Bayer Leverkusen(home) | 3-1 | Bundesliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | Fortuna Sittard(away) | 2-0 | Eredivisie |
| Sep 26, 2018 | HVV Te Werve(away) | 7-0 | KNVB Beker |
| Sep 23, 2018 | PSV Eindhoven(away) | 0-3 | Eredivisie |
| Sep 19, 2018 | AEK Athens FC(home) | 3-0 | UEFA Champions League |
| Sep 15, 2018 | Groningen(home) | 3-0 | Eredivisie |
How many goals should we expect?
Bayern München score 2.0 and concede 1.3 goals per match over their last 15; Ajax score 2.6 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bayern München | 2.0 | 1.3 | 5 | 8/15 | 9/15 |
| Ajax | 2.6 | 0.5 | 10 | 4/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Bayern München sit 2nd in UEFA Champions League (21 points from 8 matches) and Ajax sit 32nd (6 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Bayern München | 8 | 7 | 0 | 1 | 22 | 8 | 21 |
| 32 | Ajax | 8 | 2 | 0 | 6 | 8 | 21 | 6 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy