Eintracht Braunschweig
L
W
L
W
L
D
-
(xG) 1.93 - 1.47
1. FC Magdeburg
D
W
L
W
L
D
Mathematical Predictions
TOTAL GOALS
Over 2.5
Probability 66.11% Pending
MATCH RESULT
Home Win
Pending

Eintracht Braunschweig vs 1. FC Magdeburg

H2H, Match Stats & Analysis
Germany 2. Bundesliga
Eintracht-Stadion
In their previous 8 head-to-head matches, Eintracht Braunschweig scored an average of 2.13 goals per match, compared to 1. FC Magdeburg 1.25 goals.
Over their last 10 matches, Eintracht Braunschweig scored an average of 1.67 and conceded 1.83, whereas 1. FC Magdeburg scored 1.33 and conceded 2.00.

What are the expected goals (xG) predicted in Eintracht Braunschweig vs 1. FC Magdeburg match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.93 for Eintracht Braunschweig and 1.47 for 1. FC Magdeburg. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 66.11%.

H2H - Eintracht Braunschweig vs. 1. FC Magdeburg

22-01-2027
Eintracht Braunschweig
-
(HT -)
1. FC Magdeburg
08-08-2026
1. FC Magdeburg
1 - 6
(HT 0-4)
Eintracht Braunschweig
16-01-2026
Eintracht Braunschweig
0 - 3
(HT 0-1)
1. FC Magdeburg
09-10-2025
1. FC Magdeburg
0 - 6
(HT 0-1)
Eintracht Braunschweig
03-08-2025
1. FC Magdeburg
0 - 1
(HT 0-0)
Eintracht Braunschweig
24-01-2025
1. FC Magdeburg
1 - 1
(HT 1-0)
Eintracht Braunschweig
11-08-2024
Eintracht Braunschweig
1 - 3
(HT 0-1)
1. FC Magdeburg
28-01-2024
Eintracht Braunschweig
1 - 0
(HT 1-0)
FC Magdeburg
06-08-2023
FC Magdeburg
2 - 1
(HT 2-0)
Eintracht Braunschweig

Team Form (Last 6)

Home Crest Eintracht Braunschweig

19.09 @ FC Kaiserslautern 1-0
L
09.10 vs Holstein Kiel 1-0
W
17.10 @ SpVgg Greuther Furth 2-0
L
25.10 vs Hannover 96 2-0
W
30.10 @ Arminia Bielefeld 3-1
L
06.11 vs Energie Cottbus 0-0
D

Away Crest 1. FC Magdeburg

18.09 @ SpVgg Greuther Furth 1-1
D
10.10 vs Hannover 96 3-0
W
18.10 @ Dynamo Dresden 2-0
L
24.10 vs Karlsruher SC 6-1
W
28.10 @ Bayern Munich 6-1
L
31.10 @ SV Darmstadt 98 1-1
D

Poisson Distribution Algorithm

We utilize a Poisson distribution model to evaluate goal probability (such as the 2.5 threshold) in professional fixtures. By assessing expected offensive and defensive ratings for both home and away sides, our engine calculates precise percentage outcomes for your match predictions.