Arena Khimki
Rodina Moskva
L D W L W L
VS
xG 1.56 - 1.94
Zenit
W W W W W D

Mathematical Predictions: Rodina Moskva vs Zenit

TOTAL GOALS
Over 2.5
Probability 67.92% Pending
MATCH RESULT
Draw
Pending

Historical Prediction Track Records

Rodina Moskva team crest Rodina Moskva Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Rodina Moskva
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 @ Akhmat 1 O2.5 1-0
31 Oct 26 vs FC Krasnodar 2 O2.5 2-1
28 Oct 26 @ FC Orenburg 1 O2.5 2-1
24 Oct 26 @ Fakel 2 O2.5 0-1
19 Oct 26 vs FC Orenburg 2 O2.5 2-2

Zenit team crest Zenit Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Zenit
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 vs FC Rostov 1 O2.5 2-2
02 Nov 26 @ Krylia Sovetov 2 O2.5 0-3
29 Oct 26 @ Baltika X U2.5 2-3
25 Oct 26 vs Dinamo Makhachkala 1 O2.5 2-0
18 Oct 26 vs Akhmat 1 U2.5 3-2

Rodina Moskva vs Zenit

H2H, Match Stats & Analysis
Arena Khimki
In their previous 1 head-to-head matches, Rodina Moskva scored an average of 2.00 goals per match, compared to Zenit 1.00 goals.
Over their last 10 matches, Rodina Moskva scored an average of 1.67 and conceded 2.33, whereas Zenit scored 2.17 and conceded 1.00.

What are the expected goals (xG) predicted in Rodina Moskva vs Zenit match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.56 for Rodina Moskva and 1.94 for Zenit. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 67.92%.

H2H - Rodina Moskva vs. Zenit

13 Mar 27
Rodina Moskva
-
(HT -)
Zenit
09 Aug 26
Zenit
1 - 2
(HT 1-0)
Rodina Moskva

Team Form (Last 6)

Home Crest Rodina Moskva

15 Oct vs Spartak Moscow 2-4
L
19 Oct vs FC Orenburg 2-2
D
24 Oct @ Fakel 0-1
W
28 Oct @ FC Orenburg 2-1
L
31 Oct vs FC Krasnodar 2-1
W
07 Nov @ Akhmat 1-0
L

Away Crest Zenit

14 Oct @ Makhachkala 1-2
W
18 Oct vs Akhmat 3-2
W
25 Oct vs Makhachkala 2-0
W
29 Oct @ Baltika 2-3
W
02 Nov @ Krylia Sovetov 0-3
W
08 Nov vs FC Rostov 2-2
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.