Maccabi Haifa vs Maribor: result 2-1 and analysis
UEFA Champions League3rd Qualifying RoundKick-off on July 27, 2011 at 06:05 PM (UTC)Sammy Ofer Stadium, Haifa
Full time
What was the result of Maccabi Haifa vs Maribor?
Maccabi Haifa won 2-1 on July 27, 2011.
Goalscorers
- 8′Vladimer DvalishviliMaccabi Haifa (pen.)
- 27′Marcos Magno Morales TavaresMaribor
- 70′Bamidele YampolskyMaccabi Haifa
Official lineup for Maccabi Haifa vs Maribor
The starting elevens fielded at kick-off.
Maccabi Haifa
- 9Vladimer Dvalishvili
- 14Wiyam Amasha
- 16Mohammad Ghadir
- 11I. Vered
- 15E. Golasa
- 24A. Pilyavskiy
- 3Jurica Buljat
- 13T. Tawatha
- 18Ali Ottman
- 27Eyal Meshumar
- 22B. Šaranov
Maribor
- RR. Berić
- MMarcos Magno Morales Tavares
- GGoran Cvijanović
- AAgim Ibraimi
- DD. Mezga
- AAleš Mertelj
- AAleksander Rajčevič
- AArghus
- MM. Milec
- AAles Mejac
- JJasmin Handanovič
What is the recent form of both teams?
Over their last 2 matches in all competitions, Maccabi Haifa have 1 win, 0 draws and 1 defeat; Maribor have 2, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2011 | Borac Banja Luka(away) | 2-3 | UEFA Champions League |
| Jul 13, 2011 | Borac Banja Luka(home) | 5-1 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 19, 2011 | F91 Dudelange(away) | 3-1 | UEFA Champions League |
| Jul 12, 2011 | F91 Dudelange(home) | 2-0 | UEFA Champions League |
How many goals should we expect?
Maccabi Haifa score 3.5 and concede 2.0 goals per match over their last 2; Maribor score 2.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maccabi Haifa | 3.5 | 2.0 | 0 | 2/2 | 2/2 |
| Maribor | 2.5 | 0.5 | 1 | 1/2 | 1/2 |
Over the last 2 matches in all competitions.
A question about Maccabi Haifa vs Maribor?
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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