HEBC vs Paloma: result 1-2 and analysis
Oberliga - HamburgHamburg - Promotion Round - 1Kick-off on March 27, 2022 at 08:45 AM (UTC)Professor-Reinmüller-Platz, Hamburg
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What was the result of HEBC vs Paloma?
Paloma won 1-2 on March 27, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, HEBC have 5 wins, 5 draws and 5 defeats; Paloma have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 13, 2022 | Sasel(away) | 1-1 | Oberliga - Hamburg |
| Mar 6, 2022 | Tus Dassendorf(away) | 0-2 | Oberliga - Hamburg |
| Feb 28, 2022 | Rugenbergen(away) | 1-1 | Oberliga - Hamburg |
| Feb 4, 2022 | Hamburger SV III(away) | 3-2 | Oberliga - Hamburg |
| Jan 23, 2022 | Niendorfer TSV(away) | 2-3 | Oberliga - Hamburg |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 20, 2022 | Niendorfer TSV(home) | 3-1 | Oberliga - Hamburg |
| Mar 6, 2022 | Buchholz(away) | 3-3 | Oberliga - Hamburg |
| Feb 22, 2022 | Lohbrügge(away) | 3-2 | Oberliga - Hamburg |
| Feb 4, 2022 | Concordia(away) | 1-4 | Oberliga - Hamburg |
| Jan 30, 2022 | Bramfelder SV(home) | 1-1 | Oberliga - Hamburg |
How many goals should we expect?
HEBC score 2.2 and concede 2.2 goals per match over their last 15; Paloma score 2.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| HEBC | 2.2 | 2.2 | 0 | 13/15 | 11/15 |
| Paloma | 2.2 | 1.8 | 2 | 12/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
HEBC sit 13th in Oberliga - Hamburg (38 points from 34 matches) and Paloma sit 5th (61 points from 34 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Paloma | 34 | 18 | 7 | 9 | 84 | 50 | 61 |
| 13 | HEBC | 34 | 10 | 8 | 16 | 48 | 66 | 38 |
A question about HEBC vs Paloma?
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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