TBA
Ružomberok
W L D L L L
VS
xG 2.33 - 2.83
Slask Wroclaw
L L L W L D

Mathematical Predictions: Ružomberok vs Slask Wroclaw

TOTAL GOALS
Over 2.5
Probability 88.87% Pending
MATCH RESULT
Away Win
Pending

Historical Prediction Track Records

Ružomberok team crest Ružomberok Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Ružomberok
Date Fixture 1X2 O/U 2.5 FT
18 Jul 26 vs Teplice X O2.5 0-3
15 Jul 26 @ Fortuna Düsseldorf X O2.5 2-0
12 Jul 26 @ Slavia Praha 2 O2.5 3-0

Slask Wroclaw team crest Slask Wroclaw Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Slask Wroclaw
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 vs Piast Gliwice 2 O2.5 0-0
02 Nov 26 @ Radomiak Radom X U2.5 3-1
25 Oct 26 vs Wieczysta Kraków X O2.5 2-0
17 Oct 26 @ Motor Lublin 1 O2.5 3-2
10 Oct 26 vs Lech Poznan 1 O2.5 1-4

Ružomberok vs Slask Wroclaw

H2H, Match Stats & Analysis
TBA
In their previous 0 head-to-head matches, Ružomberok scored an average of 0.00 goals per match, compared to Slask Wroclaw 0.00 goals.
Over their last 10 matches, Ružomberok scored an average of 1.67 and conceded 1.67, whereas Slask Wroclaw scored 4.00 and conceded 3.00.

What are the expected goals (xG) predicted in Ružomberok vs Slask Wroclaw match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.33 for Ružomberok and 2.83 for Slask Wroclaw. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 88.87%.

H2H - Ružomberok vs. Slask Wroclaw

14 Jan 26
Ružomberok
-
(HT -)
Slask Wroclaw

Team Form (Last 6)

Home Crest Ružomberok

24 Jun vs Malženice 1-0
W
27 Jun @ Sigma Olomouc 1-0
L
04 Jul vs Lokomotíva Zvolen 3-3
D
12 Jul @ Slavia Praha 3-0
L
15 Jul @ Fortuna Dusseldorf 2-0
L
18 Jul vs Teplice 0-3
L

Away Crest Slask Wroclaw

18 Sep @ Wisla Krakow 2-1
L
10 Oct vs Lech Poznan 1-4
L
17 Oct @ Motor Lublin 3-2
L
25 Oct vs Wieczysta Kraków 2-0
W
02 Nov @ Radomiak Radom 3-1
L
07 Nov vs Piast Gliwice 0-0
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.