World Friendlies Clubs
Sportzentrum Seekirchen
Seekirchen
L D L
VS
xG 0.67 - 3.69
Red Bull Salzburg
W D W W L W

Mathematical Predictions: Seekirchen vs Red Bull Salzburg

TOTAL GOALS
Over 2.5
Probability 81.02% Pending
MATCH RESULT
Away Win
Pending

Historical Prediction Track Records

Seekirchen team crest Seekirchen Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Seekirchen
Date Fixture 1X2 O/U 2.5 FT
No historical records found.

Red Bull Salzburg team crest Red Bull Salzburg Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Red Bull Salzburg
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 @ Sturm Graz 1 O2.5 3-4
05 Nov 26 @ Anderlecht X U2.5 2-0
01 Nov 26 vs Austria Lustenau 1 O2.5 5-1
25 Oct 26 @ Lask Linz 2 O2.5 1-3
22 Oct 26 @ Celje 2 U2.5 2-2

Seekirchen vs Red Bull Salzburg

H2H, Match Stats & Analysis
World Friendlies Clubs
Sportzentrum Seekirchen
In their previous 1 head-to-head matches, Seekirchen scored an average of 0.00 goals per match, compared to Red Bull Salzburg 5.00 goals.
Over their last 10 matches, Seekirchen scored an average of 1.00 and conceded 3.00, whereas Red Bull Salzburg scored 3.25 and conceded 1.00.

What are the expected goals (xG) predicted in Seekirchen vs Red Bull Salzburg match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 0.67 for Seekirchen and 3.69 for Red Bull Salzburg. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 81.02%.

H2H - Seekirchen vs. Red Bull Salzburg

26 Jun 26
Seekirchen
0 - 5
(HT 0-3)
Red Bull Salzburg
12 Jun 25
Seekirchen
-
(HT -)
Red Bull Salzburg

Team Form (Last 6)

Home Crest Seekirchen

15 Feb vs Bischofshofen 0-1
L
21 Feb vs Wohnbau Dietach 3-3
D
26 Jun vs Red Bull Salzburg 0-5
L

Away Crest Red Bull Salzburg

18 Oct vs SCR Altach 3-0
W
22 Oct @ Celje 2-2
D
25 Oct @ Lask Linz 1-3
W
01 Nov vs Austria Lustenau 5-1
W
05 Nov @ Anderlecht 2-0
L
08 Nov @ Sturm Graz 3-4
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.