FC Rostov
W
L
D
W
W
W
-
(xG) 1.51 - 1.39
Krylia Sovetov
D
L
L
W
W
L
Mathematical Predictions
TOTAL GOALS
Over 2.5
Probability 55.35% Pending
MATCH RESULT
Home Win
Pending

FC Rostov vs Krylia Sovetov

H2H, Match Stats & Analysis
Rostov Arena
In their previous 14 head-to-head matches, FC Rostov scored an average of 1.36 goals per match, compared to Krylia Sovetov 1.50 goals.
Over their last 10 matches, FC Rostov scored an average of 2.33 and conceded 0.83, whereas Krylia Sovetov scored 1.83 and conceded 0.83.

What are the expected goals (xG) predicted in FC Rostov vs Krylia Sovetov match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.51 for FC Rostov and 1.39 for Krylia Sovetov. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 55.35%.

H2H - FC Rostov vs. Krylia Sovetov

10-04-2027
Krylia Sovetov
-
(HT -)
FC Rostov
20-11-2026
FC Rostov
-
(HT -)
Krylia Sovetov
23-11-2025
Krylia Sovetov
2 - 0
(HT 1-0)
FC Rostov
02-08-2025
FC Rostov
1 - 4
(HT 0-1)
Krylia Sovetov
07-12-2024
FC Rostov
3 - 1
(HT 1-1)
Krylia Sovetov
26-07-2024
Krylia Sovetov
1 - 3
(HT 0-1)
FC Rostov
01-03-2024
FC Rostov
2 - 0
(HT 1-0)
Krylya Sovetov
05-08-2023
Krylya Sovetov
5 - 1
(HT 3-1)
FC Rostov
12-11-2022
Krylya Sovetov
1 - 3
(HT 0-2)
FC Rostov
17-09-2022
FC Rostov
2 - 1
(HT 1-1)
Krylya Sovetov
06-04-2022
FC Rostov
1 - 0
(HT 1-0)
Krylya Sovetov
18-09-2021
Krylya Sovetov
4 - 2
(HT 1-1)
FC Rostov
04-07-2020
Krylya Sovetov
0 - 0
(HT 0-0)
FC Rostov
12-08-2019
FC Rostov
1 - 0
(HT 1-0)
Krylya Sovetov
08-12-2018
Krylya Sovetov
1 - 0
(HT 1-0)
FC Rostov
11-08-2018
FC Rostov
0 - 1
(HT 0-1)
Krylya Sovetov

Team Form (Last 6)

Home Crest FC Rostov

09.10 vs Akron 1-0
W
14.10 @ CSKA Moscow 4-0
L
18.10 @ Baltika 0-0
D
25.10 vs Lokomotiv 2-0
W
28.10 vs Akron 6-1
W
01.11 @ Makhachkala 0-3
W

Away Crest Krylia Sovetov

10.10 vs Spartak Moscow 1-1
D
14.10 vs Baltika 0-2
L
17.10 vs Fakel 1-2
L
24.10 @ Rubin 0-2
W
29.10 vs Makhachkala 2-0
W
02.11 vs Zenit 0-3
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.