Team comparison — TheAnalytic

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+03 Moscow, Volgograd

FC Tokyo 0:0 JEF United Chiba · 45'Hwacheon KSPO W 0:0 Seoul W · 16'Incheon Red Angels W 1:2 Boeun Sangmu W · 69'Gumi Sportstoto W 2:0 Changnyeong W · 68'Coal India 1:1 Police · 90'

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Statistics sections21.08.2026

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Matches

Schedule, results, lineups

384matches today

TodayTomorrow

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Teams

Form, streaks, home and away

21132teams

OverviewSeason

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Leagues and Cups

Tables, tournament trends

456tournaments

Top-5All

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Referee

Cards, penalties, strictness

16028referees

RatingBy league

LIVE-center14

JEF United Chiba

Hwacheon KSPO W

Incheon Red Angels W

Gumi Sportstoto W

Matches today Matches tomorrow

384

today's matches in the database

456

tournaments in the database

21132

teams in the database

Analytics tools21.08.2026

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Dropping odds

Line movement and volumes

528532signals today

TodayTomorrow

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Day Analysis

Summary of the day's matches

384matches 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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DownloadHistory

Prematch2050

All matches →

Borussia Dortmund

Manchester United

Nottingham Forest

For tomorrow For the day after tomorrow

528532

drops today

2050

2 days of matches ahead

16028

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.

SLA

30 matches per season

Replace

Form · 4 matches

W

D

L

D

5 of 12

10

league position

VS

10 games

ARD

30 matches per season

Replace

Form · 5 matches

W

W

L

W

D

10 of 15

9

league position

Sample Season Last 10 Last 5 Home / away

Attack Average per match in the sample

1.5

Goals

per match

1.3

3.8

Shots on target

per match

4.4

4.2

Corners

per match

4.6

Possession and passing Average per match in the sample

42

Possession

% за матч

50

255

Accurate passes

per match

320

Discipline Lower is better

10.9

Fouls

per match

12.7

1.4

Yellow cards

per match

2.0

Defense Lower is better

1.2

Goals conceded

per match

1.0

Personal Meetings

0

3

7

SLA ahead draws ARD ahead

Statistical estimate

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

29%

28%

43%

1X2

The away team scores an average of 1.1 goals per match — more than the home team (0.9).

The away team concedes an average of 1.1 goals per match — fewer than the home team (1.5).

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.