ROHDA Raalte vs Sparta Nijkerk: result 0-1 and analysis
Derde DivisieGirone A - 4Kick-off on September 7, 2024 at 01:00 PM (UTC)Sportpark Tijenraan, Raalte
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What was the result of ROHDA Raalte vs Sparta Nijkerk?
Sparta Nijkerk won 0-1 on September 7, 2024.
Goalscorers
- 24′J. BuitenhuisSparta Nijkerk
What is the recent form of both teams?
Over their last 11 matches in all competitions, ROHDA Raalte have 3 wins, 1 draw and 7 defeats; Sparta Nijkerk have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2024 | Sportlust '46(home) | 0-4 | KNVB Beker |
| Aug 31, 2024 | Dovo(away) | 0-2 | Derde Divisie |
| Aug 24, 2024 | DVS 33 Ermelo(home) | 0-2 | Derde Divisie |
| Aug 18, 2024 | HBC(away) | 2-3 | Derde Divisie |
| Jun 15, 2024 | GVV Unitas(home) | 4-0 | Derde Divisie - Relegation Round |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2024 | Laar(home) | 6-0 | KNVB Beker |
| Aug 31, 2024 | Huizen(home) | 2-2 | Derde Divisie |
| Aug 24, 2024 | Hercules(away) | 5-0 | Derde Divisie |
| Aug 17, 2024 | Ijsselmeervogels(home) | 2-1 | Derde Divisie |
| Aug 3, 2024 | Spakenburg(home) | 4-2 | Friendlies Clubs |
How many goals should we expect?
ROHDA Raalte score 1.2 and concede 1.6 goals per match over their last 11; Sparta Nijkerk score 2.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ROHDA Raalte | 1.2 | 1.6 | 3 | 4/11 | 7/11 |
| Sparta Nijkerk | 2.8 | 1.9 | 3 | 11/15 | 13/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Sparta Nijkerk | 12 | 5 | 3 | 4 | 26 | 23 | 18 |
A question about ROHDA Raalte vs Sparta Nijkerk?
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