Lech Poznan
W
D
W
W
L
D
0-3
(xG) 1.75 - 1.00
Aarhus
D
D
W
L
D
W

Mathematical Predictions: Lech Poznan vs Aarhus

TOTAL GOALS
Over 2.5
Probability 51.85% Won
MATCH RESULT
Home Win
Lost

Historical Prediction Track Records

Lech Poznan team crest Lech Poznan Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Lech Poznan
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 vs Zaglebie Lubin 1 O2.5 2-2
05 Nov 26 @ Benfica 1 O2.5 3-1
31 Oct 26 vs Wisla Krakow 1 O2.5 3-1
25 Oct 26 @ Legia Warszawa X O2.5 1-2
22 Oct 26 vs Sunderland 1 O2.5 1-1

Aarhus team crest Aarhus Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Aarhus
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 vs AC Horsens 1 O2.5 2-0
05 Nov 26 vs SC Braga X U2.5 0-0
01 Nov 26 @ Brondby 1 O2.5 2-0
25 Oct 26 vs Viborg 1 O2.5 2-1
22 Oct 26 vs Egnatia Rrogozhinë X O2.5 1-1

Lech Poznan vs Aarhus

H2H, Match Stats & Analysis
Stadion Poznan
In their previous 2 head-to-head matches, Lech Poznan scored an average of 2.00 goals per match, compared to Aarhus 2.00 goals.
Over their last 10 matches, Lech Poznan scored an average of 2.33 and conceded 0.67, whereas Aarhus scored 1.33 and conceded 1.17.

What are the expected goals (xG) predicted in Lech Poznan vs Aarhus match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.75 for Lech Poznan and 1.00 for Aarhus. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 51.85%.

H2H - Lech Poznan vs. Aarhus

29 Jul 26
Lech Poznan
0 - 3
(HT 0-1)
Aarhus
21 Jul 26
Aarhus
1 - 4
(HT 0-2)
Lech Poznan

Team Form (Last 6)

Home Crest Lech Poznan

18 Oct vs Korona Kielce 6-1
W
22 Oct vs Sunderland 1-1
D
25 Oct @ Legia Warszawa 1-2
W
31 Oct vs Wisla Krakow 3-1
W
05 Nov @ Benfica 3-1
L
08 Nov vs Zaglebie Lubin 2-2
D

Away Crest Aarhus

18 Oct @ FC Copenhagen 1-1
D
22 Oct vs Egnatia Rrogozhinë 1-1
D
25 Oct vs Viborg 2-1
W
01 Nov @ Brondby 2-0
L
05 Nov vs SC Braga 0-0
D
08 Nov vs AC Horsens 2-0
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.