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Compare Obolon vs SK Poltava

Obolon vs SK Poltava Head-to-Head Stats and Form Comparison

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

Obolon Obolon Home Team
SK Poltava SK Poltava Away Team
Obolon
45.2
L D W L W L D D L D

Last 10 Matches

SK Poltava
28.6
D L L L D L D L D L

Performance Radar

Obolon
SK Poltava

Categories Won

11

Obolon

3

Draw

1

SK Poltava

Statistical Comparison

Win Percentage
20%

2W, 4D, 4L

0%

0W, 4D, 6L

Goals Scored / Match
1.3

13 / 10 matches

0.7

7 / 10 matches

Goals Conceded / Match
1.5

15 / 10 matches

2.3

23 / 10 matches

Goal Difference
-2

-2

-16

-16

Clean Sheet
10%

1 / 10 matches

10%

1 / 10 matches

Over 2.5 Goals
50%

5 / 10 matches

40%

4 / 10 matches

Both Teams to Score
70%

7 / 10 matches

30%

3 / 10 matches

Top Scorer
T. Liakh (2 goals)
V. Sad (2 goals)
Most Goals by Half
1st Half: 4 / 2nd Half: 9
1st Half: 4 / 2nd Half: 3
Home Win Rate
17%

1W / 6 matches

0%

0W / 5 matches

Away Win Rate
25%

1W / 4 matches

0%

0W / 5 matches

Schedule Strength (SoS)
62.9

League Difficulty: 82.1, Opponent Quality: 62.3

64.1

League Difficulty: 98.0, Opponent Quality: 71.2

Elite Opponent Record
33%

1W / 3 matches

0%

0W / 7 matches

Expected Goals (xG)
1.47

Actual: 1.3 | Diff: -0.17

0.79

Actual: 0.7 | Diff: -0.09

Adjusted Power Rating
45.2

Attack: 48.9, Defense: 56.5, Form: 22.6

28.6

Attack: 26.6, Defense: 26.6, Form: 0.0

Goal Timing Analysis

1

0-15'

2
2

16-30'

1
1

31-45'

1
1

46-60'

2

61-75'

1
3

76-90+'

Obolon
SK Poltava
Obolon

Power Rating Breakdown

45.2

Overall

Attack 48.9
Defense 56.5
Form 22.6
Consistency 64.0
SK Poltava

Power Rating Breakdown

28.6

Overall

Attack 26.6
Defense 26.6
Form 0.0
Consistency 92.8

Strength of Schedule

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

League Difficulty

82.1 vs 98.0

Opponent Quality

62.3 vs 71.2

Elite Opponent Record

33% vs 0%
Obolon logo Obolon
L
Kudrivka (43%)
D
Livyi Bereh (49%)
W
Kolos II (40%)
L
LNZ Cherkasy (65%)
W
Kolos (85%)
L
Shakhtar D (83%)
D
Epitsentr (67%)
D
Kudrivka (64%)
SK Poltava logo SK Poltava
D
Epitsentr (72%)
L
Dynamo Kyiv (75%)
L
LNZ Cherkasy (70%)
L
Shakhtar D (78%)
D
Kryvbas KR (72%)
L
Kolos (85%)
D
Obolon (68%)
L
Polissya (73%)

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
Kudrivka H
0 - 1 L
43%
Livyi Bereh A
2 - 2 D
49%
Kolos II H
3 - 1 W
40%
LNZ Cherkasy H
0 - 1 L
65%
Kolos A
2 - 0 W
85%
Shakhtar D A
1 - 3 L
83%
Epitsentr H
2 - 2 D
67%
Kudrivka H
1 - 1 D
64%
Polissya A
1 - 3 L
78%
SK Poltava H
1 - 1 D
49%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Epitsentr A
0 - 0 D
72%
Dynamo Kyiv H
0 - 2 L
75%
LNZ Cherkasy A
0 - 2 L
70%
Shakhtar D H
0 - 4 L
78%
Kryvbas KR H
3 - 3 D
72%
Kolos A
0 - 2 L
85%
Obolon A
1 - 1 D
68%
Polissya H
0 - 4 L
73%
Oleksandria H
3 - 3 D
54%
Kharkiv A
0 - 2 L
65%

AI Analysis

When we look at the raw statistics, both teams appear to be in form, but applying the Strength of Schedule adjustment reveals a significant quality gap. The favorite has been tested against tougher opposition and has consistently delivered.

Both teams have faced similar levels of opposition (SoS: 62.9 vs 64.1), making the raw statistics a reliable comparison tool in this matchup.

Obolon leads the attacking statistics, averaging 1.3 goals per game compared to SK Poltava's 0.7 — a meaningful but far from decisive advantage.

Defensively, Obolon holds the advantage — allowing just 1.5 goals per game against SK Poltava's 2.3.

Obolon has struggled against elite opposition, winning only 1 of 3 matches. When the stakes are highest, their performance drops significantly.

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

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

❄️ Form Momentum: Obolon is struggling for form, winning just 2 of their last 10 matches. Teams in this state often lack the confidence to compete in tight moments.

❄️ Form Momentum: SK Poltava is struggling for form, winning just 0 of their last 10 matches. Teams in this state often lack the confidence to compete in tight moments.

⚠️ Risk Factor: Despite being the statistical favorite, Obolon faces a key vulnerability: their defense concedes 1.5 goals per match. If SK Poltava can exploit this, an upset becomes plausible.

💡 Why This Matters: The 16.6-point power rating gap between these teams translates to approximately a 85% win probability for Obolon. In practical terms, Obolon would win 8 out of 10 such matchups.

The numbers point firmly toward Obolon in this contest. Their superior power rating of 45.2, compared to 28.6 for the opposition, reflects a meaningful edge across the metrics that matter most when projecting an outcome.

These two teams drew 1-1 in the Ukraine Premier League (2026-04-17). The stalemate suggests these sides are closely matched, and another tight contest could be on the cards. With the previous match ending in a draw, neither side holds a psychological edge. Both teams will feel they have a genuine chance of winning.

Match Simulator

AI-powered match simulation based on real statistics

Obolon

Obolon

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

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.

Obolon

2W 4D 4L · 13 goals scored · 15 conceded

SK Poltava

0W 4D 6L · 7 goals scored · 23 conceded

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