Team comparison — TheAnalytic

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+03 Moscow, Volgograd

Waldhof Mannheim 0:0 1. FC Kaiserslautern · 2'Preußen Münster 0:0 Karlsruher SC · 3'Al Jeel 0:0 Al Zulfi · 10'Al Riyadh 0:0 Al-Nassr · 2'Turan Turkistan 0:2 Sport Academy Kairat · 46'

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Statistics sections21.08.2026

◎

Matches

Schedule, results, lineups

384matches today

TodayTomorrow

▣

Teams

Form, streaks, home and away

21280teams

OverviewSeason

◈

Leagues and Cups

Tables, tournament trends

456tournaments

Top-5All

▤

Referee

Cards, penalties, strictness

16179referees

RatingBy league

LIVE-center67

Waldhof Mannheim

1. FC Kaiserslautern

Preußen Münster

Turan Turkistan

Sport Academy Kairat

Matches today Matches tomorrow

384

today's matches in the database

456

tournaments in the database

21280

teams in the database

Analytics tools21.08.2026

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Dropping odds

Line movement and volumes

567089signals today

TodayTomorrow

◐

Day Analysis

Summary of the day's matches

384matches 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

Prematch2050

All matches →

Borussia Dortmund

Manchester United

For tomorrow For the day after tomorrow

567089

drops today

2050

2 days of matches ahead

16179

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.

FC

38 matches per season

Replace

Form · 5 matches

L

W

L

L

L

3 of 15

5

league position

VS

10 games

YOU

38 matches per season

Replace

Form · 3 matches

D

W

W

7 of 9

6

league position

Sample Season Last 10 Last 5 Home / away

Attack Average per match in the sample

2.6

Goals

per match

4.4

4.0

Shots on target

per match

7.5

3.0

Corners

per match

4.0

Possession and passing Average per match in the sample

45

Possession

% за матч

42

308

Accurate passes

per match

274

Discipline Lower is better

12.5

Fouls

per match

15.5

1.0

Yellow cards

per match

2.0

Defense Lower is better

1.8

Goals conceded

per match

1.4

Personal Meetings

1

2

7

FC ahead draws YOU ahead

Statistical estimate

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

35%

22%

43%

1X2

The away team scores an average of 2.1 goals per match — more than the home team (1.5).

The home team concedes an average of 1.5 goals per match — fewer than the opponent (1.8).

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.