Arena Khimki
Rodina Moskva
L D W L W L
VS
xG 0.89 - 0.67
Akhmat
L L L D L W

Mathematical Predictions: Rodina Moskva vs Akhmat

TOTAL GOALS
Under 2.5
Probability 79.48% 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

Akhmat team crest Akhmat Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Akhmat
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 vs Rodina Moskva 1 O2.5 1-0
31 Oct 26 @ Dynamo 1 U2.5 2-0
23 Oct 26 vs FC Orenburg 1 O2.5 0-1
18 Oct 26 @ Zenit 1 U2.5 3-2
14 Oct 26 vs Dynamo X O2.5 1-2

Rodina Moskva vs Akhmat

H2H, Match Stats & Analysis
Arena Khimki
In their previous 1 head-to-head matches, Rodina Moskva scored an average of 0.00 goals per match, compared to Akhmat 1.00 goals.
Over their last 10 matches, Rodina Moskva scored an average of 1.67 and conceded 2.33, whereas Akhmat scored 0.50 and conceded 1.50.

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

Based on the H2H and Form statistics, the expected goals (xG) for this match are 0.89 for Rodina Moskva and 0.67 for Akhmat. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 79.48%.

H2H - Rodina Moskva vs. Akhmat

08 May 27
Rodina Moskva
-
(HT -)
Akhmat
07 Nov 26
Akhmat
1 - 0
(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 Akhmat

14 Oct vs Dynamo 1-2
L
18 Oct @ Zenit 3-2
L
23 Oct vs FC Orenburg 0-1
L
27 Oct @ Fakel 0-0
D
31 Oct @ Dynamo 2-0
L
07 Nov vs Rodina Moskva 1-0
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.