Team Club Friendlies

Viktoria Köln Stats, Results and Recent Form

Review Viktoria Köln through recent results, scoring production and defensive performance across the last 5 matches. The current sample shows 3 wins, 1 draws and 1 losses, with 12 goals scored and 7 conceded.

D L W W W

3 Win

1 Draw

1 Loss

2.4 per match

Performance Summary

Last 10 Matches

Results Breakdown

Win

60.0%

Draw

20.0%

Loss

20.0%

Goals Overview

Goals Scored

2.4 per match

Goals Conceded

1.4 per match

Goal Difference

in 5 matches

clean sheets

Zero conceded

Key Facts

Top Scorer

M. Sponsel (1 goals)

Average Goal Minute

96.0' min

Best Against

VVV (5 goals)

Toughest Opponent

VVV (3 goals)

Goal Scorers

1 M. Sponsel

1 goals

Scorer Map

Match Insights

Statistical analysis based on the last 5 matches

Over 2.5 Goals

80%

Average total goals per match: 3.8. (2.4 scored + 1.4 conceded)

Strong

Both Teams to Score

80%

In 4 of 5 matches, both teams found the net.

Strong

Double Chance 1/2 (No Draw)

80%

Draw rate is 20%. Matches tend to produce a decisive winner.

Strong

Team Over 1.5 Goals

60%

Scoring average of 2.4 per match. High chance of 2+ goals.

Moderate

Over 3.5 Goals

20%

High-scoring matches with 4+ total goals occurred 1 times.

Weak

Clean Sheet

20%

Kept a clean sheet in 1 of 5 matches.

Weak

Failed to Score

Blanked in 0 of 5 matches. Attack is reliable.

Strong

Win to Nil

20%

Won without conceding in 1 of 5 matches.

Weak

Half-Time Analysis

1st Half

2nd Half

More goals tend to come in the 2nd half.

Leading at Half-Time

Half-Time Draw

100%

Goal Timing Distribution

0'15'30'45'60'75'90+'

Early (0-30') 0% (0)

Mid (31-60') 0% (0)

Late (61-90+') 100% (1)

Home / Away Performance

Home 3 matches

1W 1D 1L

33%

Away 2 matches

2W 0D 0L

100%

Key Player Impact

12 goals

M. Sponsel

1 goals · 8%

Match History (Last 10 Matches)

AI Analysis

Viktoria Köln show strong recent form with 3 wins and 1 draws in 5 matches, maintaining consistent results. Their attack has been prolific, netting 12 goals at 2.4 per match, with M. Sponsel leading the charge with 1 goals. Defensively adequate but not exceptional, shipping 7 goals at 1.4 per match, with room for improvement in organization. Known for late surges with an average goal minute of 96.0', they are dangerous in the closing stages of matches.

Why Last 10 Matches? Methodology

We analyze the last 10 matches to provide the most accurate and up-to-date performance insights. This sample size captures recent form, tactical changes, and momentum shifts while filtering out outdated results. Sports analytics research shows that the most recent 10 games offer the optimal balance between statistical significance and current relevance.

Recent form accuracy

Tactical trend detection

Statistical significance