Team comparison — TheAnalytic

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+03 Moscow, Volgograd

Beşiktaş 2:0 Kauno Žalgiris · 48'Egnatia Rrogozhinë 0:0 Lillestrom · 49'Trabzonspor 0:1 Ferencvarosi TC · 48'Universitatea Craiova 1:1 Ararat-Armenia · 48'Lech Poznan 5:0 FC Thun · 47'

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Statistics sections20.08.2026

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Matches

Schedule, results, lineups

206matches today

TodayTomorrow

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Teams

Form, streaks, home and away

20580teams

OverviewSeason

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Leagues and Cups

Tables, tournament trends

456tournaments

Top-5All

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Referee

Cards, penalties, strictness

15751referees

RatingBy league

LIVE-center34

Kauno Žalgiris

Egnatia Rrogozhinë

Ferencvarosi TC

Universitatea Craiova

Matches today Matches tomorrow

206

today's matches in the database

456

tournaments in the database

20580

teams in the database

Analytics tools20.08.2026

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Dropping odds

Line movement and volumes

436530signals today

TodayTomorrow

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Day Analysis

Summary of the day's matches

206matches in the overview

OverviewSeason

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AI-match predictions

ML model probabilities

—predictions with value

ValueAll

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Matchlists

Export data to Excel

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Prematch1651

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Borussia Dortmund

Manchester United

For tomorrow For the day after tomorrow

436530

drops today

1651

2 days of matches ahead

15751

referees in the database

Home / Team comparison

Team comparison

Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.

SPA

30 matches per season

Replace

Form · 4 matches

W

L

W

W

9 of 12

4

league position

VS

9 games

KRY

30 matches per season

Replace

Form · 4 matches

L

L

D

D

2 of 12

10

league position

Sample Season Last 10 Last 5 Home / away

Attack Average per match in the sample

1.8

Goals

per match

1.2

4.4

Shots on target

per match

3.0

6.2

Corners

per match

3.2

Possession and passing Average per match in the sample

62

Possession

% за матч

43

400

Accurate passes

per match

267

Discipline Lower is better

15.5

Fouls

per match

14.5

1.8

Yellow cards

per match

2.0

Defense Lower is better

1.1

Goals conceded

per match

1.7

Personal Meetings

2

0

7

SPA ahead draws KRY ahead

Statistical estimate

1/X/2 by the Poisson model based on average goals

55%

23%

22%

1X2

The home team scores an average of 1.9 goals per match — more than the opponent (1.2).

The home team concedes an average of 0.8 goals per match — fewer than the opponent (1.7).

Estimate — a statistical Poisson model based on average goals, not an AI-model prediction.

This is not an AI model prediction — it's a simple statistical estimate based on average figures, without accounting for lineups, injuries or opponents' form.