World Friendlies Clubs
TBC
Hamburger SV
W W L L L W
VS
xG 1.22 - 1.50
Esbjerg
D L D W L L

Mathematical Predictions: Hamburger SV vs Esbjerg

TOTAL GOALS
Over 2.5
Probability 51.18% Pending
MATCH RESULT
Away Win
Pending

Historical Prediction Track Records

Hamburger SV team crest Hamburger SV Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Hamburger SV
Date Fixture 1X2 O/U 2.5 FT
06 Nov 26 vs Borussia Mönchengladbach 2 O2.5 3-1
01 Nov 26 @ Eintracht Frankfurt 1 O2.5 3-1
27 Oct 26 vs Eintracht Frankfurt X O2.5 1-3
24 Oct 26 @ SC Paderborn 07 1 O2.5 1-0
17 Oct 26 vs VfB Stuttgart 2 O2.5 1-0

Esbjerg team crest Esbjerg Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Esbjerg
Date Fixture 1X2 O/U 2.5 FT
18 Jul 26 vs FC Fredericia 2 O2.5 0-1
11 Jul 26 vs Mafra 2 O2.5 0-2

Hamburger SV vs Esbjerg

H2H, Match Stats & Analysis
World Friendlies Clubs
TBC
In their previous 1 head-to-head matches, Hamburger SV scored an average of 1.00 goals per match, compared to Esbjerg 2.00 goals.
Over their last 10 matches, Hamburger SV scored an average of 1.00 and conceded 2.67, whereas Esbjerg scored 1.50 and conceded 1.50.

What are the expected goals (xG) predicted in Hamburger SV vs Esbjerg match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.22 for Hamburger SV and 1.50 for Esbjerg. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 51.18%.

H2H - Hamburger SV vs. Esbjerg

05 Jul 25
Hamburger SV
-
(HT -)
Esbjerg
01 Feb 25
Esbjerg
2 - 1
(HT 1-0)
Hamburger SV

Team Form (Last 6)

Home Crest Hamburger SV

10 Oct @ 1899 Hoffenheim 2-3
W
17 Oct vs VfB Stuttgart 1-0
W
24 Oct @ SC Paderborn 07 1-0
L
27 Oct vs Eintracht Frankfurt 1-3
L
01 Nov @ Eintracht Frankfurt 3-1
L
06 Nov vs Borussia Monchengladbach 3-1
W

Away Crest Esbjerg

10 Feb vs Zimbru 1-1
D
21 Feb vs Vendsyssel FF 0-1
L
27 Jun vs Vejle 3-3
D
04 Jul vs Aarhus Fremad 2-0
W
11 Jul vs Mafra 0-2
L
18 Jul vs FC Fredericia 0-1
L

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.