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Compare Kudrivka vs SK Poltava

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

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

Kudrivka Kudrivka Home Team
SK Poltava SK Poltava Away Team
Kudrivka
44.9
W L W L W W L D L L

Last 10 Matches

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

Performance Radar

Kudrivka
SK Poltava

Categories Won

11

Kudrivka

2

Draw

2

SK Poltava

Statistical Comparison

Win Percentage
40%

4W, 1D, 5L

0%

0W, 4D, 6L

Goals Scored / Match
1.0

10 / 10 matches

0.7

7 / 10 matches

Goals Conceded / Match
1.2

12 / 10 matches

2.3

23 / 10 matches

Goal Difference
-2

-2

-16

-16

Clean Sheet
30%

3 / 10 matches

10%

1 / 10 matches

Over 2.5 Goals
30%

3 / 10 matches

40%

4 / 10 matches

Both Teams to Score
40%

4 / 10 matches

30%

3 / 10 matches

Top Scorer
A. Storchous (4 goals)
V. Sad (2 goals)
Most Goals by Half
1st Half: 4 / 2nd Half: 6
1st Half: 4 / 2nd Half: 3
Home Win Rate
75%

3W / 4 matches

0%

0W / 5 matches

Away Win Rate
17%

1W / 6 matches

0%

0W / 5 matches

Schedule Strength (SoS)
55.2

League Difficulty: 82.1, Opponent Quality: 63.8

64.1

League Difficulty: 98.0, Opponent Quality: 71.2

Elite Opponent Record
0%

0W / 3 matches

0%

0W / 7 matches

Expected Goals (xG)
1.25

Actual: 1.0 | Diff: -0.25

0.79

Actual: 0.7 | Diff: -0.09

Adjusted Power Rating
44.9

Attack: 35.1, Defense: 63.1, Form: 42.1

28.6

Attack: 26.6, Defense: 26.6, Form: 0.0

Goal Timing Analysis

2

0-15'

2

16-30'

1
2

31-45'

1
1

46-60'

2

61-75'

1
2

76-90+'

Kudrivka
SK Poltava
Kudrivka

Power Rating Breakdown

44.9

Overall

Attack 35.1
Defense 63.1
Form 42.1
Consistency 39.7
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

63.8 vs 71.2

Elite Opponent Record

0% vs 0%
Kudrivka logo Kudrivka
W
Obolon (46%)
L
Kolos (63%)
W
Kolos II (40%)
L
Dynamo Kyiv (80%)
W
LNZ Cherkasy (65%)
W
Rukh Lviv (48%)
L
Kolos (85%)
D
Obolon (68%)
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
Obolon A
1 - 0 W
46%
Kolos A
0 - 2 L
63%
Kolos II H
2 - 0 W
40%
Dynamo Kyiv A
2 - 3 L
80%
LNZ Cherkasy H
1 - 0 W
65%
Rukh Lviv H
2 - 1 W
48%
Kolos A
0 - 1 L
85%
Obolon A
1 - 1 D
68%
Shakhtar D H
1 - 3 L
78%
Kharkiv A
0 - 1 L
65%
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

Surface-level numbers suggest a competitive matchup, but the Strength of Schedule correction tells a different story. The favorite has earned their metrics against stiffer competition, exposing a meaningful performance gap between these two sides.

With comparable strength of schedule figures (55.2 vs 64.1), the opposition quality faced by both sides has been largely equivalent, giving these head-to-head stats greater analytical validity.

Offensively, Kudrivka outperforms SK Poltava with 1.0 goals per match to 0.7, though the margin leaves the contest genuinely open.

Defensively, Kudrivka is far superior, conceding just 1.2 goals per match with 3 clean sheets, while SK Poltava leaks 2.3 goals per match.

Kudrivka has struggled against elite opposition, winning only 0 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.

Kudrivka has an exceptional home record with a 75% win rate at their home ground. When playing at home, they become significantly more dangerous.

Based on the combined statistics, expect 2.6 total goals. Over 2.5 goals is the statistical lean, with BTTS (Both Teams to Score) being unlikely.

❄️ 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.

📊 Key Trend: The form trajectories are diverging. Kudrivka is on the rise with 4W in last 10, while SK Poltava shows signs of decline with 0W in last 10.

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

💡 Why This Matters: The 16.3-point power rating gap between these teams translates to approximately a 85% win probability for Kudrivka. In practical terms, Kudrivka would win 8 out of 10 such matchups.

Based on the available data, Kudrivka holds the stronger position heading into this matchup. A power rating of 44.9 against 28.6 underlines their overall quality advantage and makes them the logical pick to come out on top.

Match Simulator

AI-powered match simulation based on real statistics

Kudrivka

Kudrivka

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.

Kudrivka

4W 1D 5L · 10 goals scored · 12 conceded

SK Poltava

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

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