Sint-Niklaas vs Hades: result 3-2 and analysis
Second Amateur Division - VFV BRegular Season - 6Kick-off on October 6, 2018 at 06:00 PM (UTC)Sportcentrum Meesterstraat, Nieuwkerken-Waas
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What was the result of Sint-Niklaas vs Hades?
Sint-Niklaas won 3-2 on October 6, 2018.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Sint-Niklaas have 2 wins, 1 draw and 2 defeats; Hades have 3, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | VW Hamme(away) | 4-1 | Second Amateur Division - VFV B |
| Sep 23, 2018 | Berchem Sport(away) | 0-0 | Second Amateur Division - VFV B |
| Sep 15, 2018 | Cappellen(home) | 2-5 | Second Amateur Division - VFV B |
| Sep 9, 2018 | Bocholt(away) | 1-2 | Second Amateur Division - VFV B |
| Sep 2, 2018 | Heur Tongeren(home) | 2-1 | Second Amateur Division - VFV B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | Berchem Sport(home) | 1-0 | Second Amateur Division - VFV B |
| Sep 23, 2018 | Cappellen(away) | 0-0 | Second Amateur Division - VFV B |
| Sep 15, 2018 | Bocholt(home) | 4-1 | Second Amateur Division - VFV B |
| Sep 8, 2018 | Heur Tongeren(away) | 2-0 | Second Amateur Division - VFV B |
| Sep 1, 2018 | Temse(home) | 2-2 | Second Amateur Division - VFV B |
How many goals should we expect?
Sint-Niklaas score 1.8 and concede 1.8 goals per match over their last 5; Hades score 1.8 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sint-Niklaas | 1.8 | 1.8 | 1 | 4/5 | 4/5 |
| Hades | 1.8 | 0.6 | 3 | 2/5 | 2/5 |
Over the last 5 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 Sint-Niklaas vs Hades?
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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