TBA
IMT Novi Beograd
D L W L L L
VS
xG 1.33 - 2.00
Krylia Sovetov
L L W W L W

Mathematical Predictions: IMT Novi Beograd vs Krylia Sovetov

TOTAL GOALS
Over 2.5
Probability 64.72% Pending
MATCH RESULT
Away Win
Pending

Historical Prediction Track Records

IMT Novi Beograd team crest IMT Novi Beograd Past Prediction Accuracy

Historical prediction accuracy and match outcomes for IMT Novi Beograd
Date Fixture 1X2 O/U 2.5 FT
03 Aug 26 vs Gaziantep FK 2 O2.5 0-3
11 Jul 26 vs Akhmat 2 O2.5 0-1

Krylia Sovetov team crest Krylia Sovetov Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Krylia Sovetov
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 vs FC Orenburg X U2.5 2-0
02 Nov 26 vs Zenit 2 O2.5 0-3
29 Oct 26 vs Dinamo Makhachkala 2 O2.5 2-0
24 Oct 26 @ Rubin X U2.5 0-2
17 Oct 26 vs Fakel 1 U2.5 1-2

IMT Novi Beograd vs Krylia Sovetov

H2H, Match Stats & Analysis
TBA
In their previous 0 head-to-head matches, IMT Novi Beograd scored an average of 0.00 goals per match, compared to Krylia Sovetov 0.00 goals.
Over their last 10 matches, IMT Novi Beograd scored an average of 0.50 and conceded 2.00, whereas Krylia Sovetov scored 2.00 and conceded 2.17.

What are the expected goals (xG) predicted in IMT Novi Beograd vs Krylia Sovetov match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.33 for IMT Novi Beograd and 2.00 for Krylia Sovetov. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 64.72%.

H2H - IMT Novi Beograd vs. Krylia Sovetov

23 Jan 26
IMT Novi Beograd
-
(HT -)
Krylia Sovetov

Team Form (Last 6)

Home Crest IMT Novi Beograd

26 Jun @ Borac Banja Luka 1-1
D
01 Jul @ Mladost Lucani 1-0
L
03 Jul vs Maccabi Tel Aviv 1-0
W
11 Jul @ Radnicki 1923 1-0
L
11 Jul vs Akhmat 0-1
L
03 Aug vs Gazişehir Gaziantep 0-3
L

Away Crest Krylia Sovetov

14 Oct vs Baltika 0-2
L
17 Oct vs Fakel 1-2
L
24 Oct @ Rubin 0-2
W
29 Oct vs Makhachkala 2-0
W
02 Nov vs Zenit 0-3
L
08 Nov vs FC Orenburg 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.