Ak Bars Arena
Rubin
L L L L W W
1 - 0
xG 1.11 - 0.97
Fakel
W W L D L L

Mathematical Predictions: Rubin vs Fakel

TOTAL GOALS
Under 2.5
Probability 65.41% Won
MATCH RESULT
Draw
Lost

Historical Prediction Track Records

Rubin team crest Rubin Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Rubin
Date Fixture 1X2 O/U 2.5 FT
06 Nov 26 @ Lokomotiv X U2.5 0-1
31 Oct 26 vs Fakel X U2.5 1-0
28 Oct 26 @ Spartak Moscow 1 U2.5 1-0
24 Oct 26 vs Krylia Sovetov X U2.5 0-2
18 Oct 26 @ Spartak Moscow 1 U2.5 4-0

Fakel team crest Fakel Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Fakel
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 vs Dynamo X U2.5 1-2
31 Oct 26 @ Rubin X U2.5 1-0
24 Oct 26 vs Rodina Moskva 2 O2.5 0-1
17 Oct 26 @ Krylia Sovetov 1 U2.5 1-2
13 Oct 26 @ FC Krasnodar 1 O2.5 0-2

Rubin vs Fakel

H2H, Match Stats & Analysis
Ak Bars Arena
In their previous 5 head-to-head matches, Rubin scored an average of 1.00 goals per match, compared to Fakel 0.20 goals.
Over their last 10 matches, Rubin scored an average of 1.00 and conceded 1.67, whereas Fakel scored 1.00 and conceded 1.33.

What are the expected goals (xG) predicted in Rubin vs Fakel match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.11 for Rubin and 0.97 for Fakel. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 65.41%.

H2H - Rubin vs. Fakel

31 Oct 26
Rubin
1 - 0
(HT 1-0)
Fakel
27 Apr 25
Rubin
2 - 1
(HT 0-1)
Fakel
27 Sep 24
Fakel
0 - 0
(HT 0-0)
Rubin
26 Nov 23
Rubin
1 - 0
(HT 1-0)
Fakel Voronezh
25 Sep 23
Fakel Voronezh
0 - 1
(HT 0-0)
Rubin

Team Form (Last 6)

Home Crest Rubin

15 Oct vs FC Orenburg 1-4
L
18 Oct @ Spartak Moscow 4-0
L
24 Oct vs Krylia Sovetov 0-2
L
28 Oct @ Spartak Moscow 1-0
L
31 Oct vs Fakel 1-0
W
06 Nov @ Lokomotiv 0-1
W

Away Crest Fakel

13 Oct @ FC Krasnodar 0-2
W
17 Oct @ Krylia Sovetov 1-2
W
24 Oct vs Rodina Moskva 0-1
L
27 Oct vs Akhmat 0-0
D
31 Oct @ Rubin 1-0
L
07 Nov vs Dynamo 1-2
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.