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Compare Brann vs SK Poltava

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

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

Brann Brann Home Team
SK Poltava SK Poltava Away Team
Brann
45.1
W W D L L W L L L L

Last 10 Matches

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

Categories Won

11

Brann

3

Draw

1

SK Poltava

Performance Radar

Brann
SK Poltava

Statistical Comparison

Win Percentage
30%

3W, 1D, 6L

0%

0W, 3D, 7L

Goals Scored / Match
1.9

19 / 10 matches

0.7

7 / 10 matches

Goals Conceded / Match
1.4

14 / 10 matches

2.9

29 / 10 matches

Goal Difference
+5

+5

-22

-22

Clean Sheet
10%

1 / 10 matches

0%

0 / 10 matches

Over 2.5 Goals
60%

6 / 10 matches

60%

6 / 10 matches

Both Teams to Score
60%

6 / 10 matches

30%

3 / 10 matches

Top Scorer
K. Ingason (4 goals)
V. Sad (2 goals)
Most Goals by Half
1st Half: 10 / 2nd Half: 9
1st Half: 4 / 2nd Half: 3
Home Win Rate
25%

1W / 4 matches

0%

0W / 6 matches

Away Win Rate
33%

2W / 6 matches

0%

0W / 4 matches

Schedule Strength (SoS)
42.3

League Difficulty: 57.0, Opponent Quality: 55.6

64.1

League Difficulty: 98.0, Opponent Quality: 71.1

Elite Opponent Record
0%

0W / 1 matches

0%

0W / 7 matches

Expected Goals (xG)
2.14

Actual: 1.9 | Diff: -0.24

0.94

Actual: 0.7 | Diff: -0.24

Adjusted Power Rating
45.1

Attack: 58.5, Defense: 49.2, Form: 27.7

23.0

Attack: 26.6, Defense: 3.8, Form: 0.0

Goal Timing Analysis

1

0-15'

2
3

16-30'

1
5

31-45'

1
4

46-60'

2
2

61-75'

1
4

76-90+'

Brann
SK Poltava
Brann

Power Rating Breakdown

45.1

Overall

Attack 58.5
Defense 49.2
Form 27.7
Consistency 46.0
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

57.0 vs 98.0

Opponent Quality

55.6 vs 71.1

Elite Opponent Record

0% vs 0%
Brann logo Brann
W
Fredrikstad (39%)
W
Tromsø (68%)
D
Rosenborg (46%)
L
Viking (70%)
L
Sandefjord (50%)
W
HamKam (55%)
L
Tromsø (63%)
L
Kristiansund (48%)
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
Fredrikstad H
3 - 1 W
39%
Tromsø A
5 - 0 W
68%
Rosenborg A
1 - 1 D
46%
Viking A
2 - 3 L
70%
Sandefjord H
0 - 1 L
50%
HamKam A
5 - 1 W
55%
Tromsø H
1 - 2 L
63%
Kristiansund A
2 - 3 L
48%
Bologna A
0 - 1 L
61%
Bologna H
0 - 1 L
56%
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

When we look at the raw statistics, both teams appear to be in form, but applying the Strength of Schedule filter reveals a much clearer picture.

SK Poltava has faced significantly tougher opposition (SoS: 64.1) compared to Brann (SoS: 42.3). This means SK Poltava's statistics carry more weight, as they were achieved against higher-caliber opponents.

Brann's attack is on another level, averaging 1.9 goals per match with K. Ingason leading the charge with 4 goals. SK Poltava manages just 0.7 per match.

Defensively, Brann is far superior, conceding just 1.4 goals per match with 1 clean sheets, while SK Poltava leaks 2.9 per match.

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 3.5 total goals. Over 2.5 goals is the statistical lean, with both teams to score being possible.

Brann emerges as the favorite in this matchup. With a stronger overall power rating (45.1 vs 23.0) and better performance against quality opposition, they should control the game. However, football always has room for surprises.

Match Simulator

AI-powered match simulation based on real statistics

Brann

Brann

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.

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