What are the expected goals (xG) predicted for this match?

Montana

(xG) 1.63 - 0.72

Spartak Pleven

Mathematical Predictions: Montana vs Spartak Pleven

TOTAL GOALS

Under 2.5

Probability 58.14% Pending

MATCH RESULT

Home Win

Pending

Historical Prediction Track Records

Montana Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Montana
Date	Fixture	1X2	O/U 2.5	FT
18 Jul 26	vs Spartak Pleven	X	U2.5	3-1
11 Jul 26	@ Slavia Sofia	1	U2.5	7-2

Spartak Pleven Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Spartak Pleven
Date	Fixture	1X2	O/U 2.5	FT
18 Jul 26	@ Montana	X	U2.5	3-1
14 Jul 26	vs Hapoel Petah Tikva	X	U2.5	2-0
11 Jul 26	vs Lokomotiv G. Oryahovitsa	1	U2.5	2-1

Montana vs Spartak Pleven

H2H, Match Stats & Analysis

World Friendlies Clubs

2026-01-17T13:00:00

TBA

In their previous 2 head-to-head matches, Montana scored an average of 2.00 goals per match, compared to Spartak Pleven 0.50 goals.

Over their last 10 matches, Montana scored an average of 1.40 and conceded 0.80, whereas Spartak Pleven scored 0.83 and conceded 1.67.

What are the expected goals (xG) predicted in Montana vs Spartak Pleven match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.63 for Montana and 0.72 for Spartak Pleven. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 58.14%.

H2H - Montana vs. Spartak Pleven

18 Jul 26

Montana

3 - 1

(HT 3-0)

Spartak Pleven

17 Jan 26

Montana

(HT -)

Spartak Pleven

18 Jan 25

Montana

1 - 0

(HT 0-0)

Spartak Pleven

Team Form (Last 6)

Montana

14 May @ Botev Vratsa 1-0

18 May vs Spartak Varna 0-2

22 May @ Slavia Sofia 2-0

01 Jul @ CSKA Sofia II 1-1

11 Jul @ Slavia Sofia 7-2

18 Jul vs Spartak Pleven 3-1

Spartak Pleven

01 Jul @ Botev Vratsa 2-1

03 Jul @ Cherno More Varna 1-0

07 Jul @ Yantra 2019 0-2

11 Jul @ Lokomotiv G. Oryahovitsa 2-1

14 Jul @ Hapoel Petah Tikva 2-0

18 Jul @ Montana 3-1

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.