Skip to content
Compare GC Zürich vs SK Poltava

GC Zürich vs SK Poltava Head-to-Head Stats and Form Comparison

Compare GC Zürich vs SK Poltava: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.

GC Zürich GC Zürich Home Team
SK Poltava SK Poltava Away Team
GC Zürich
27.9
W L L L W L L L L L

Last 10 Matches

SK Poltava
23.0
L D L D L D L L L L

Categories Won

12

GC Zürich

2

Draw

1

SK Poltava

Performance Radar

GC Zürich
SK Poltava

Statistical Comparison

Win Percentage
20%

2W, 0D, 8L

0%

0W, 3D, 7L

Goals Scored / Match
1.0

10 / 10 matches

0.7

7 / 10 matches

Goals Conceded / Match
2.6

26 / 10 matches

2.9

29 / 10 matches

Goal Difference
-16

-16

-22

-22

Clean Sheet
10%

1 / 10 matches

0%

0 / 10 matches

Over 2.5 Goals
70%

7 / 10 matches

60%

6 / 10 matches

Both Teams to Score
50%

5 / 10 matches

30%

3 / 10 matches

Top Scorer
D. Abels (3 goals)
V. Sad (2 goals)
Most Goals by Half
1st Half: 5 / 2nd Half: 5
1st Half: 4 / 2nd Half: 3
Home Win Rate
20%

1W / 5 matches

0%

0W / 6 matches

Away Win Rate
20%

1W / 5 matches

0%

0W / 4 matches

Schedule Strength (SoS)
50.4

League Difficulty: 49.0, Opponent Quality: 51.3

64.1

League Difficulty: 98.0, Opponent Quality: 71.1

Elite Opponent Record
0%

0W / 0 matches

0%

0W / 7 matches

Expected Goals (xG)
1.0

Actual: 1.0 | Diff: 0.0

0.94

Actual: 0.7 | Diff: -0.24

Adjusted Power Rating
27.9

Attack: 33.5, Defense: 13.4, Form: 20.1

23.0

Attack: 26.6, Defense: 3.8, Form: 0.0

Goal Timing Analysis

1

0-15'

2
2

16-30'

1
2

31-45'

1
1

46-60'

2
3

61-75'

1
1

76-90+'

GC Zürich
SK Poltava
GC Zürich

Power Rating Breakdown

27.9

Overall

Attack 33.5
Defense 13.4
Form 20.1
Consistency 56.8
SK Poltava

Power Rating Breakdown

23.0

Overall

Attack 26.6
Defense 3.8
Form 0.0
Consistency 93.7

Strength of Schedule

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

League Difficulty

49.0 vs 98.0

Opponent Quality

51.3 vs 71.1

Elite Opponent Record

0% vs 0%
GC Zürich logo GC Zürich
W
Winterthur (42%)
L
Zürich (42%)
L
Servette (65%)
L
Luzern (56%)
W
Winterthur (42%)
L
Sion (62%)
L
Servette (66%)
L
Thun (49%)
SK Poltava logo SK Poltava
L
Shakhtar D (78%)
D
Kryvbas KR (71%)
L
Kolos (83%)
D
Obolon (63%)
L
Polissya (77%)
D
Oleksandria (44%)
L
Metalist 1925 (79%)
L
Karpaty Lviv (81%)

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
Winterthur H
3 - 2 W
42%
Zürich A
1 - 2 L
42%
Servette H
0 - 2 L
65%
Luzern H
1 - 2 L
56%
Winterthur A
2 - 0 W
42%
Sion H
0 - 4 L
62%
Servette A
0 - 5 L
66%
Thun A
1 - 5 L
49%
Lausanne H
2 - 3 L
38%
Basel A
0 - 1 L
51%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Shakhtar D H
0 - 4 L
78%
Kryvbas KR H
3 - 3 D
71%
Kolos A
0 - 2 L
83%
Obolon A
1 - 1 D
63%
Polissya H
0 - 4 L
77%
Oleksandria H
3 - 3 D
44%
Metalist 1925 A
0 - 2 L
79%
Karpaty Lviv H
0 - 4 L
81%
Zorya A
0 - 4 L
80%
Kudrivka H
0 - 2 L
55%

AI Analysis

This is a fascinating matchup between two evenly-matched teams. The raw numbers tell one story, but the opponent quality analysis adds crucial context.

SK Poltava has faced significantly tougher opposition (SoS: 64.1) compared to GC Zürich (SoS: 50.4). This means SK Poltava's statistics carry more weight, as they were achieved against higher-caliber opponents.

GC Zürich holds the attacking edge with 1.0 goals per match versus SK Poltava's 0.7, though the gap is not insurmountable.

Both defenses are comparable, with GC Zürich conceding 2.6 and SK Poltava conceding 2.9 per match.

GC Zürich has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.

SK Poltava has struggled against elite opposition, winning only 0 of 7 matches. When the stakes are highest, their performance drops significantly.

Based on the combined statistics, expect 3.6 total goals. Over 2.5 goals is the statistical lean, with both teams to score being possible.

Match Simulator

AI-powered match simulation based on real statistics

GC Zürich

GC Zürich

VS
SK Poltava

SK Poltava

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.

Compare Another Pair

Popular Teams

We use cookies & local storage to enhance your experience. Learn more