Russia Premier League
Akhmat-Arena
Akhmat
L L L D L W
1 - 0
xG 1.92 - 1.08
Rodina Moskva
L D W L W L

Mathematical Predictions: Akhmat vs Rodina Moskva

TOTAL GOALS
Over 2.5
Probability 57.68% Lost
MATCH RESULT
Home Win
Won

Historical Prediction Track Records

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 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 vs Rodina Moskva

H2H, Match Stats & Analysis
Russia Premier League
Akhmat-Arena
In their previous 1 head-to-head matches, Akhmat scored an average of 1.00 goals per match, compared to Rodina Moskva 0.00 goals.
Over their last 10 matches, Akhmat scored an average of 1.83 and conceded 1.50, whereas Rodina Moskva scored 0.67 and conceded 2.00.

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

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.92 for Akhmat and 1.08 for Rodina Moskva. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 57.68%.

H2H - Akhmat vs. Rodina Moskva

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

Team Form (Last 6)

Home 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

Away 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

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.