Team comparison — TheAnalytic

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+03 Moscow, Volgograd

Jagiellonia 2:0 FC Iberia 1999 · 58'Mjallby AIF 0:0 Red Bull Salzburg · 62'Beşiktaş 2:0 Kauno Žalgiris · 18'Egnatia Rrogozhinë 0:0 Lillestrom · 20'Trabzonspor 0:1 Ferencvarosi TC · 18'

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Statistics sections20.08.2026

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Matches

Schedule, results, lineups

206matches today

TodayTomorrow

▣

Teams

Form, streaks, home and away

20546teams

OverviewSeason

◈

Leagues and Cups

Tables, tournament trends

456tournaments

Top-5All

▤

Referee

Cards, penalties, strictness

15742referees

RatingBy league

LIVE-center28

Red Bull Salzburg

Kauno Žalgiris

Egnatia Rrogozhinë

Ferencvarosi TC

Matches today Matches tomorrow

206

today's matches in the database

456

tournaments in the database

20546

teams in the database

Analytics tools20.08.2026

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Dropping odds

Line movement and volumes

435385signals today

TodayTomorrow

◐

Day Analysis

Summary of the day's matches

206matches in the overview

OverviewSeason

◇

AI-match predictions

ML model probabilities

—predictions with value

ValueAll

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Matchlists

Export data to Excel

XLSXexport format

DownloadHistory

Prematch1651

All matches →

Borussia Dortmund

Manchester United

Nottingham Forest

For tomorrow For the day after tomorrow

435385

drops today

1651

2 days of matches ahead

15742

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.

RAI

2 matches per season

Replace

Form · 2 matches

W

D

4 of 6

4

league position

VS

10 games

AIR

36 matches per season

Replace

Form · 5 matches

L

D

D

W

D

6 of 15

9

league position

Sample Season Last 10 Last 5 Home / away

Attack Average per match in the sample

1.3

Goals

per match

1.2

0.0

Shots on target

per match

1.0

0.0

Corners

per match

3.0

Possession and passing Average per match in the sample

0

Possession

% за матч

50

0

Accurate passes

per match

0

Discipline Lower is better

0.0

Fouls

per match

0.0

0.0

Yellow cards

per match

2.0

Defense Lower is better

1.0

Goals conceded

per match

1.4

Personal Meetings

3

3

4

RAI ahead draws AIR ahead

Statistical estimate

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

47%

27%

26%

1X2

The home team scores an average of 1.5 goals per match — more than the opponent (1.0).

The home team concedes an average of 1.0 goals per match — fewer than the opponent (1.4).

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.