Utrecht vs NAC Breda: result 3-1 and analysis
EredivisieRegular Season - 2Kick-off on August 15, 2010 at 12:30 PM (UTC)Stadion Galgenwaard, Utrecht
Full time
What was the result of Utrecht vs NAC Breda?
Utrecht won 3-1 on August 15, 2010.
Goalscorers
- 13′R. van WolfswinkelUtrecht
- 25′Matthew AmoahNAC Breda
- 46′D. MertensUtrecht
- 80′R. van WolfswinkelUtrecht (pen.)
Official lineup for Utrecht vs NAC Breda
The starting elevens fielded at kick-off.
Utrecht
- 9R. van Wolfswinkel
- 11D. Mertens
- 24J. Mulenga
- 8Michael Kappelgaard Silberbauer
- 20Jacob Lensky
- 2T. Cornelisse
- 3M. Neşu
- 15N. Asare
- 17A. Schut
- 29J. Wuytens
- 1M. Vorm
NAC Breda
- 14Matthew Amoah
- 30Leonardo
- 5Kees Kwakman
- 11J. Kolkka
- 3R. Penders
- 4T. Loran
- 7K. Luijckx
- 8Robbert Schilder
- 18D. Gorter
- 22J. Janse
- 1J. ten Rouwelaar
What is the recent form of both teams?
In their last match in all competitions, Utrecht have 0 wins, 0 draws and 1 defeat; NAC Breda have 0, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2010 | Feyenoord(away) | 1-3 | Eredivisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2010 | AZ Alkmaar(home) | 1-1 | Eredivisie |
How many goals should we expect?
Utrecht score 1.0 and concede 3.0 goals per match in their last match; NAC Breda score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Utrecht | 1.0 | 3.0 | 0 | 1/1 | 1/1 |
| NAC Breda | 1.0 | 1.0 | 0 | 1/1 | 0/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Utrecht | 8 | 2 | 2 | 4 | 14 | 25 | 8 |
A question about Utrecht vs NAC Breda?
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