Hertha BSC
W
W
D
W
W
W
-
(xG) 1.78 - 1.33
1. FC Nürnberg
W
D
D
L
L
W
Mathematical Predictions
TOTAL GOALS
Over 2.5
Probability 60.10% Pending
MATCH RESULT
Home Win
Pending

Hertha BSC vs 1. FC Nürnberg

H2H, Match Stats & Analysis
Olympiastadion
In their previous 12 head-to-head matches, Hertha BSC scored an average of 1.50 goals per match, compared to 1. FC Nürnberg 1.33 goals.
Over their last 10 matches, Hertha BSC scored an average of 2.17 and conceded 1.00, whereas 1. FC Nürnberg scored 1.67 and conceded 1.67.

What are the expected goals (xG) predicted in Hertha BSC vs 1. FC Nürnberg match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.78 for Hertha BSC and 1.33 for 1. FC Nürnberg. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 60.10%.

H2H - Hertha BSC vs. 1. FC Nürnberg

23-05-2027
1. FC Nürnberg
-
(HT -)
Hertha BSC
16-01-2027
Hertha BSC
-
(HT -)
1. FC Nürnberg
01-03-2026
Hertha BSC
2 - 1
(HT 1-1)
1. FC Nürnberg
28-09-2025
1. FC Nürnberg
0 - 3
(HT 0-2)
Hertha BSC
21-02-2025
Hertha BSC
0 - 0
(HT 0-0)
1. FC Nürnberg
21-09-2024
1. FC Nürnberg
0 - 2
(HT 0-1)
Hertha BSC
30-03-2024
Hertha Berlin
3 - 3
(HT 1-2)
FC Nurnberg
22-10-2023
FC Nurnberg
3 - 1
(HT 0-1)
Hertha Berlin
20-01-2019
FC Nurnberg
1 - 3
(HT 1-1)
Hertha Berlin
25-08-2018
Hertha Berlin
1 - 0
(HT 1-0)
FC Nurnberg
02-02-2014
Hertha Berlin
1 - 3
(HT 1-1)
FC Nurnberg
18-08-2013
FC Nurnberg
2 - 2
(HT 1-0)
Hertha Berlin
21-01-2012
FC Nurnberg
2 - 0
(HT 1-0)
Hertha Berlin
06-08-2011
Hertha Berlin
0 - 1
(HT 0-0)
FC Nurnberg

Team Form (Last 6)

Home Crest Hertha BSC

19.09 @ Dynamo Dresden 1-2
W
11.10 vs SpVgg Greuther Furth 2-1
W
16.10 @ Holstein Kiel 0-0
D
24.10 vs Arminia Bielefeld 1-0
W
28.10 @ SSV Jeddeloh 0-2
W
31.10 @ FC Kaiserslautern 0-3
W

Away Crest 1. FC Nürnberg

19.09 @ Karlsruher SC 0-1
W
10.10 vs VfL Wolfsburg 4-4
D
16.10 @ Energie Cottbus 1-1
D
24.10 vs FC Kaiserslautern 0-1
L
28.10 @ Bayer Leverkusen 5-2
L
01.11 @ FC St. Pauli 1-3
W

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.