TBC
Dynamo Kyiv
W D L L W L
VS
xG 1.83 - 1.08
Csikszereda
L L D W L D

Mathematical Predictions: Dynamo Kyiv vs Csikszereda

TOTAL GOALS
Over 2.5
Probability 55.79% Pending
MATCH RESULT
Home Win
Pending

Historical Prediction Track Records

Dynamo Kyiv team crest Dynamo Kyiv Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Dynamo Kyiv
Date Fixture 1X2 O/U 2.5 FT
13 Aug 26 @ Qarabag X O2.5 2-0
06 Aug 26 vs Qarabag 1 O2.5 1-0
30 Jul 26 @ PAOK 1 O2.5 2-0
23 Jul 26 vs PAOK X U2.5 2-3

Csikszereda team crest Csikszereda Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Csikszereda
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 vs Universitatea Cluj 2 O2.5 0-0
30 Oct 26 @ Rapid 1 O2.5 2-0
24 Oct 26 vs FC Voluntari 1 O2.5 2-1
16 Oct 26 @ Oţelul 1 O2.5 1-1
11 Oct 26 vs Universitatea Craiova 2 O2.5 0-1

Dynamo Kyiv vs Csikszereda

H2H, Match Stats & Analysis
TBC
In their previous 0 head-to-head matches, Dynamo Kyiv scored an average of 0.00 goals per match, compared to Csikszereda 0.00 goals.
Over their last 10 matches, Dynamo Kyiv scored an average of 2.17 and conceded 1.17, whereas Csikszereda scored 1.00 and conceded 1.50.

What are the expected goals (xG) predicted in Dynamo Kyiv vs Csikszereda match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.83 for Dynamo Kyiv and 1.08 for Csikszereda. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 55.79%.

H2H - Dynamo Kyiv vs. Csikszereda

11 Feb 25
Dynamo Kyiv
-
(HT -)
Csikszereda

Team Form (Last 6)

Home Crest Dynamo Kyiv

10 Jul @ Radomiak Radom 2-4
W
16 Jul @ Universitatea Cluj 0-0
D
23 Jul vs PAOK 2-3
L
30 Jul @ PAOK 2-0
L
06 Aug vs Qarabag 1-0
W
13 Aug @ Qarabag 2-0
L

Away Crest Csikszereda

21 Sep @ Petrolul Ploiesti 2-0
L
11 Oct vs Universitatea Craiova 0-1
L
16 Oct @ OÅ£elul 1-1
D
24 Oct vs FC Voluntari 2-1
W
30 Oct @ Rapid 2-0
L
07 Nov vs Universitatea Cluj 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.