Lafnitz vs Schwarz-Weiß Bregenz — Statistical Analysis, Historical Data & AI Match Projections
Match Statistics
1Goals4
56Possession %44
0.00xG0.00
15Total Shots7
5Shots on Target5
83Dangerous Attacks41
8Corners1
Head to Head
2 matches
0Lafnitz
0Draws
2Schwarz-Weiß
League Standings
Schwarz-Weiß Bregenz16/16
| # | Team | MP | W | D | L | Goals | Pts | Form |
|---|---|---|---|---|---|---|---|---|
| 1 | Austria Lustenau | 29 | 15 | 8 | 6 | 39:26 | 53 | LWD |
| 2 | St. Pölten | 29 | 15 | 7 | 7 | 43:27 | 52 | DDD |
| 3 | Floridsdorfer AC | 29 | 14 | 8 | 7 | 42:17 | 50 | DWD |
| 4 | Admira | 29 | 12 | 14 | 3 | 50:26 | 50 | WDD |
| 5 | Amstetten | 29 | 11 | 13 | 5 | 40:32 | 46 | DDD |
| 6 | Liefering | 29 | 11 | 11 | 7 | 41:39 | 44 | WWD |
| 7 | First Vienna | 29 | 11 | 9 | 9 | 30:24 | 42 | DWD |
| 8 | Austria Wien II | 29 | 11 | 8 | 10 | 31:37 | 41 | LLD |
| 9 | Austria Salzburg | 29 | 9 | 11 | 9 | 34:35 | 38 | WWD |
| 10 | Austria Klagenfurt | 29 | 10 | 8 | 11 | 32:38 | 38 | WWD |
| 11 | WSPG Wels | 29 | 8 | 8 | 13 | 37:40 | 32 | WLD |
| 12 | Rapid Wien II | 29 | 8 | 7 | 14 | 34:44 | 31 | DLD |
| 13 | Kapfenberger SV | 29 | 8 | 6 | 15 | 30:49 | 30 | LLD |
| 14 | Stripfing | 29 | 2 | 20 | 7 | 16:26 | 26 | DDD |
| 15 | Sturm Graz II | 29 | 5 | 9 | 15 | 28:45 | 24 | LLD |
| 16 | Schwarz-Weiß Bregenz | 29 | 3 | 11 | 15 | 34:56 | 20 | LLD |
Performance Radar
Lafnitz
Schwarz-Weiß BregenzMetric
Home
Away
Possession
56%
44%
xG
0.00
0.00
Shots on Target
5
5
Danger. Attacks
83
41
Corners
8
1
Recent results in 2. Liga
League →- 14 May
Austria Wien II1 – 2Kapfenberger SV
- 14 May
First Vienna2 – 0Schwarz-Weiß Bregenz
- 14 May
Sturm Graz II1 – 2Rapid Wien II
- 14 May
Admira1 – 0Floridsdorfer AC
- 14 May
Austria Lustenau2 – 1Amstetten
- 14 May
St. Pölten1 – 0WSPG Wels
- 14 May
Austria Klagenfurt2 – 3Liefering
- 8 May
Kapfenberger SV0 – 0St. Pölten
- 8 May
Austria Salzburg0 – 0Austria Lustenau
- 8 May
WSPG Wels0 – 0Sturm Graz II
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.