Team comparison — TheAnalytic

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+03 Moscow, Volgograd

Torpedo Moskva 2:0 Spartak Kostroma · 18'Waldhof Mannheim 0:0 1. FC Kaiserslautern · 45'Preußen Münster 1:0 Karlsruher SC · 45'SC St. Tönis 0:8 Eintracht Frankfurt · 45'Al Jeel 0:1 Al Zulfi · 45'

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Statistics sections21.08.2026

◎

Matches

Schedule, results, lineups

384matches today

TodayTomorrow

▣

Teams

Form, streaks, home and away

21285teams

OverviewSeason

◈

Leagues and Cups

Tables, tournament trends

456tournaments

Top-5All

▤

Referee

Cards, penalties, strictness

16187referees

RatingBy league

LIVE-center80

Spartak Kostroma

Waldhof Mannheim

1. FC Kaiserslautern

Preußen Münster

Eintracht Frankfurt

Matches today Matches tomorrow

384

today's matches in the database

456

tournaments in the database

21285

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

▦

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

16187

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.

FOR

28 matches per season

Replace

Form · 10 matches

W

W

W

W

W

D

L

D

W

D

21 of 30

2

league position

VS

7 games

REA

28 matches per season

Replace

Form · 10 matches

L

L

D

W

W

D

D

L

D

L

10 of 30

6

league position

Sample Season Last 10 Last 5 Home / away

Attack Average per match in the sample

2.0

Goals

per match

1.4

0.0

Shots on target

per match

0.0

0.0

Corners

per match

0.0

Possession and passing Average per match in the sample

0

Possession

% за матч

0

0

Accurate passes

per match

0

Discipline Lower is better

0.0

Fouls

per match

0.0

0.0

Yellow cards

per match

0.0

Defense Lower is better

0.4

Goals conceded

per match

1.2

Personal Meetings

1

4

2

FOR ahead draws REA ahead

Statistical estimate

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

35%

33%

32%

1X2

The home team scores an average of 1.1 goals per match — more than the opponent (1.0).

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

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.