AZ vs NAC Breda — Statistical Analysis, Historical Data & AI Match Projections
Match Statistics
1Goals1
71Possession %29
1.81xG0.35
18Total Shots7
7Shots on Target2
88Dangerous Attacks18
10Corners4
Head to Head
League Standings
| # | Team | MP | W | D | L | Goals | Pts | Form |
|---|---|---|---|---|---|---|---|---|
| 1 | PSV | 34 | 27 | 3 | 4 | 101:45 | 84 | DWW |
| 2 | Feyenoord | 34 | 19 | 8 | 7 | 70:44 | 65 | WDW |
| 3 | NEC Nijmegen | 34 | 16 | 11 | 7 | 77:53 | 59 | DLW |
| 4 | FC Twente | 34 | 15 | 13 | 6 | 59:40 | 58 | DWL |
| 5 | Ajax | 34 | 14 | 14 | 6 | 62:41 | 56 | DLD |
| 6 | FC Utrecht | 34 | 15 | 8 | 11 | 55:42 | 53 | WWW |
| 7 | AZ | 34 | 14 | 10 | 10 | 58:51 | 52 | DDD |
| 8 | SC Heerenveen | 34 | 14 | 9 | 11 | 57:53 | 51 | WLD |
| 9 | FC Groningen | 34 | 14 | 6 | 14 | 49:45 | 48 | LWW |
| 10 | Sparta Rotterdam | 34 | 12 | 7 | 15 | 40:62 | 43 | DLL |
| 11 | Fortuna Sittard | 34 | 11 | 6 | 17 | 49:63 | 39 | LWL |
| 12 | Go Ahead Eagles | 34 | 8 | 14 | 12 | 54:53 | 38 | DLL |
| 13 | Excelsior | 34 | 10 | 8 | 16 | 43:56 | 38 | WDW |
| 14 | Telstar | 34 | 9 | 10 | 15 | 49:55 | 37 | DWW |
| 15 | PEC Zwolle | 34 | 9 | 10 | 15 | 44:71 | 37 | WLL |
| 16 | FC Volendam | 34 | 8 | 8 | 18 | 35:55 | 32 | LDL |
| 17 | NAC Breda | 34 | 6 | 11 | 17 | 35:58 | 29 | LWD |
| 18 | Heracles Almelo | 34 | 5 | 4 | 25 | 35:85 | 19 | LLL |
Performance Radar
AZ
NAC BredaMetric
Home
Away
Possession
71%
29%
xG
1.81
0.35
Shots on Target
7
2
Danger. Attacks
88
18
Corners
10
4
Upcoming Match Projections · Eredivisie
3 matchesLeague →
Recent Results · Eredivisie
10 matchesLeague →
- 17 May
Sparta Rotterdam2 – 3Excelsior
- 17 May
AZ3 – 3NAC Breda
- 17 May
FC Utrecht2 – 0Fortuna Sittard
- 17 May
FC Volendam1 – 2Telstar
- 17 May
Heracles Almelo1 – 2FC Groningen
- 17 May
NEC Nijmegen2 – 1Go Ahead Eagles
- 17 May
PEC Zwolle0 – 2Feyenoord
- 17 May
PSV5 – 1FC Twente
- 17 May
SC Heerenveen0 – 0Ajax
- 11 May
NAC Breda2 – 0SC Heerenveen
Analysis and simulations are produced by the StatsBrain AI engine and reviewed by our editorial team. Learn how we model outcomes in our methodology and who publishes StatsBrain on About.

