Hades vs Pepingen-Halle: result 4-4 and analysis
Second Amateur Division - VFV BVFV B - 6Kick-off on October 5, 2019 at 05:30 PM (UTC)Sportcentrum Kiewit, Hasselt
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What was the result of Hades vs Pepingen-Halle?
Hades and Pepingen-Halle drew 4-4 on October 5, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hades have 5 wins, 3 draws and 7 defeats; Pepingen-Halle have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Olympia Wijgmaal(away) | 4-1 | Second Amateur Division - VFV B |
| Sep 21, 2019 | Bocholt(home) | 1-2 | Second Amateur Division - VFV B |
| Sep 15, 2019 | Londerzeel(away) | 1-1 | Second Amateur Division - VFV B |
| Sep 7, 2019 | Tienen(home) | 1-0 | Second Amateur Division - VFV B |
| Sep 1, 2019 | Berchem Sport(away) | 1-1 | Second Amateur Division - VFV B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Diegem Sport(home) | 2-1 | Second Amateur Division - VFV B |
| Sep 22, 2019 | Spouwen-Mopertingen(away) | 1-2 | Second Amateur Division - VFV B |
| Sep 15, 2019 | Hoogstraten(home) | 2-1 | Second Amateur Division - VFV B |
| Sep 8, 2019 | Eendracht Aalst(away) | 0-5 | Second Amateur Division - VFV B |
| Sep 1, 2019 | Geel(home) | 0-0 | Second Amateur Division - VFV B |
How many goals should we expect?
Hades score 1.5 and concede 1.6 goals per match over their last 15; Pepingen-Halle score 2.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hades | 1.5 | 1.6 | 3 | 10/15 | 8/15 |
| Pepingen-Halle | 2.4 | 1.6 | 4 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Hades | 30 | 13 | 5 | 12 | 40 | 42 | 44 |
A question about Hades vs Pepingen-Halle?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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