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Compare GKS Katowice vs Žilina

GKS Katowice vs Žilina Head-to-Head Stats and Form Comparison

Compare GKS Katowice vs Žilina: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.

GKS Katowice GKS Katowice Home Team
Žilina Žilina Away Team
GKS Katowice
48.5
L D D D D W D W D W

Last 10 Matches

Žilina
56.4
W W L

Performance Radar

GKS Katowice
Žilina

Categories Won

6

GKS Katowice

4

Draw

5

Žilina

Statistical Comparison

Win Percentage
30%

3W, 6D, 1L

67%

2W, 0D, 1L

Goals Scored / Match
1.8

18 / 10 matches

1.3

4 / 3 matches

Goals Conceded / Match
1.3

13 / 10 matches

1.3

4 / 3 matches

Goal Difference
+5

+5

0

0

Clean Sheet
20%

2 / 10 matches

0%

0 / 3 matches

Over 2.5 Goals
50%

5 / 10 matches

67%

2 / 3 matches

Both Teams to Score
80%

8 / 10 matches

67%

2 / 3 matches

Top Scorer
E. Marković (6 goals)
T. Hranica (1 goals)
Most Goals by Half
1st Half: 10 / 2nd Half: 8
1st Half: 1 / 2nd Half: 3
Home Win Rate
75%

3W / 4 matches

100%

2W / 2 matches

Away Win Rate
0%

0W / 6 matches

0%

0W / 1 matches

Schedule Strength (SoS)
42.9

League Difficulty: 57.9, Opponent Quality: 56.5

56.6

League Difficulty: 82.7, Opponent Quality: 67.3

Elite Opponent Record
0%

0W / 2 matches

0%

0W / 1 matches

Expected Goals (xG)
1.79

Actual: 1.8 | Diff: +0.01

1.66

Actual: 1.3 | Diff: -0.33

Adjusted Power Rating
48.5

Attack: 55.7, Defense: 52.6, Form: 27.9

56.4

Attack: 46.2, Defense: 60.4, Form: 71.4

Goal Timing Analysis

2

0-15'

3

16-30'

1
4

31-45'

3

46-60'

2
1

61-75'

4

76-90+'

1
GKS Katowice
Žilina
GKS Katowice

Power Rating Breakdown

48.5

Overall

Attack 55.7
Defense 52.6
Form 27.9
Consistency 68.5
Žilina

Power Rating Breakdown

56.4

Overall

Attack 46.2
Defense 60.4
Form 71.4
Consistency 40.0

Strength of Schedule

Measures the difficulty of opponents faced. Higher = tougher schedule.

League Difficulty

57.9 vs 82.7

Opponent Quality

56.5 vs 67.3

Elite Opponent Record

0% vs 0%
GKS Katowice logo GKS Katowice
L
Žilina (75%)
D
Raków (63%)
D
Pogoń (52%)
D
Jagiellonia (68%)
D
Piast (43%)
W
Nieciecza (51%)
D
Kielce (50%)
W
Motor (46%)
Žilina logo Žilina
W
GKS Katowice (65%)
W
Hajduk (66%)
L
Hajduk (71%)

Opponent Quality: Quality blends league strength, recent points form, goal difference, and home/away context. It is not only club size or reputation.

Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Žilina A
1 - 2 L
75%
Raków A
1 - 1 D
63%
Pogoń A
1 - 1 D
52%
Jagiellonia H
2 - 2 D
68%
Piast A
0 - 0 D
43%
Nieciecza H
5 - 1 W
51%
Kielce A
1 - 1 D
50%
Motor H
3 - 2 W
46%
Lech A
3 - 3 D
70%
Wisła Płock H
1 - 0 W
47%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
GKS Katowice H
2 - 1 W
65%
Hajduk H
2 - 1 W
66%
Hajduk A
0 - 2 L
71%

AI Analysis

While the data leans decisively toward one side, dismissing the underdog would be premature. Adjusting for strength of schedule brings the margins closer together, yet the broader trend holds firm throughout the analysis.

Context matters here: Žilina's schedule strength (SoS: 56.6) has been notably more demanding than GKS Katowice's (SoS: 42.9), meaning their underlying stats reflect performance against higher-calibre opposition and should be weighted accordingly.

GKS Katowice leads the attacking statistics, averaging 1.8 goals per game compared to Žilina's 1.3 — a meaningful but far from decisive advantage.

Both defenses are comparable, with GKS Katowice conceding 1.3 and Žilina conceding 1.3 per match.

Žilina has an exceptional home record with a 100% win rate at their home ground. When playing at home, they become significantly more dangerous.

Statistical modeling projects 2.9 goals in this fixture. The data points Over 2.5 as the value threshold, while BTTS stands at likely based on both sides' scoring records.

❄️ Form Momentum: Žilina is struggling for form, winning just 2 of their last 3 matches. Teams in this state often lack the confidence to compete in tight moments.

⚠️ Risk Factor: Despite being the statistical favorite, Žilina faces a key vulnerability: their away form is significantly weaker than their home record. If GKS Katowice can exploit this, an upset becomes plausible.

💡 Why This Matters: The 7.9-point power rating gap between these teams translates to approximately a 70% win probability for Žilina. In practical terms, Žilina would win 7 out of 10 such matchups.

The numbers lean toward Žilina, with a 7.9-point power rating gap pointing to a genuine advantage — though not one that makes this contest a formality.

In their recent UEFA Conference League encounter (2026-07-23), Žilina came out on top with a 2-1 victory over GKS Katowice. European competition results carry significant weight in assessing the balance of power between these sides. Žilina secured this victory at home, where they tend to be strongest. However, the next encounter could present a different challenge if the venue changes. The narrow 2-1 result shows how tight these encounters are. A single moment of quality or a tactical tweak could swing the next meeting either way. GKS Katowice will be eager to avenge this defeat. The desire for revenge can be a powerful motivator, and they may come into the next meeting with extra determination. Žilina will carry a psychological advantage from this recent victory. Knowing you've beaten your opponent recently provides a significant confidence boost.

Match Simulator

AI-powered match simulation based on real statistics

GKS Katowice

GKS Katowice

VS
Žilina

Žilina

In H2H (head-to-head) matchups, to eliminate momentary fluctuations and coincidences, we limit our analyses to an optimal depth of exactly 10 matches. Neither less, nor more. This focused approach is our undisputed gold standard, revealing the tactical and psychological supremacy teams hold over each other in its purest form. We do not dwell on the noise of the past; we concentrate on the millimetric precision of current form.

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Comparison Summary

This head-to-head comparison analyzes the last 10 matches of each team, evaluating attack power, defensive strength, form consistency, and overall performance metrics. The power ratings are calculated using a weighted algorithm that considers goals scored, goals conceded, win rate, and recent form trends.

GKS Katowice

3W 6D 1L · 18 goals scored · 13 conceded

Žilina

2W 0D 1L · 4 goals scored · 4 conceded

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