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Compare Zambia vs South Korea

Zambia vs South Korea Head-to-Head Stats and Form Comparison

Compare Zambia vs South Korea: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.

Zambia Zambia Home Team
South Korea South Korea Away Team
Zambia
41.5
L D W D D L L W D L

Last 10 Matches

South Korea
42.1
D L L L W D W W L D

Performance Radar

Zambia
South Korea

Categories Won

4

Zambia

2

Draw

9

South Korea

Statistical Comparison

Win Percentage
20%

2W, 4D, 4L

30%

3W, 3D, 4L

Goals Scored / Match
1.1

11 / 10 matches

2.0

20 / 10 matches

Goals Conceded / Match
1.8

18 / 10 matches

2.2

22 / 10 matches

Goal Difference
-7

-7

-2

-2

Clean Sheet
10%

1 / 10 matches

30%

3 / 10 matches

Over 2.5 Goals
40%

4 / 10 matches

80%

8 / 10 matches

Both Teams to Score
60%

6 / 10 matches

60%

6 / 10 matches

Top Scorer
B. Banda (2 goals)
Park Soo-Jeong (3 goals)
Most Goals by Half
1st Half: 1 / 2nd Half: 10
1st Half: 8 / 2nd Half: 12
Home Win Rate
67%

2W / 3 matches

40%

2W / 5 matches

Away Win Rate
0%

0W / 7 matches

20%

1W / 5 matches

Schedule Strength (SoS)
68.0

League Difficulty: 80.0, Opponent Quality: 67.2

45.6

League Difficulty: 62.5, Opponent Quality: 58.8

Elite Opponent Record
50%

2W / 4 matches

0%

0W / 3 matches

Expected Goals (xG)
1.36

Actual: 1.1 | Diff: -0.26

1.95

Actual: 2.0 | Diff: +0.05

Adjusted Power Rating
41.5

Attack: 43.3, Defense: 47.2, Form: 23.6

42.1

Attack: 63.7, Defense: 25.5, Form: 28.7

Goal Timing Analysis

0-15'

4
1

16-30'

2

31-45'

1
1

46-60'

6

61-75'

3

76-90+'

4
Zambia
South Korea
Zambia

Power Rating Breakdown

41.5

Overall

Attack 43.3
Defense 47.2
Form 23.6
Consistency 64.0
South Korea

Power Rating Breakdown

42.1

Overall

Attack 63.7
Defense 25.5
Form 28.7
Consistency 53.2

Strength of Schedule

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

League Difficulty

80.0 vs 62.5

Opponent Quality

67.2 vs 58.8

Elite Opponent Record

50% vs 0%
Zambia logo Zambia
L
Algeria (69%)
D
Algeria (69%)
W
Zimbabwe (71%)
D
Kenya (55%)
D
South Korea (62%)
L
Brazil (75%)
L
Canada (67%)
W
Zimbabwe (71%)
South Korea logo South Korea
D
Zambia (53%)
L
Canada (67%)
L
Brazil (75%)
L
Japan (62%)
W
Uzbekistan (39%)
D
Australia (66%)
W
Philippines (41%)
W
Iran (37%)

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
Algeria A
0 - 1 L
69%
Algeria A
1 - 1 D
69%
Zimbabwe H
3 - 0 W
71%
Kenya H
1 - 1 D
55%
South Korea A
1 - 1 D
62%
Brazil A
1 - 6 L
75%
Canada A
0 - 4 L
67%
Zimbabwe H
3 - 1 W
71%
Malawi A
1 - 1 D
54%
South Africa A
0 - 2 L
79%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Zambia H
1 - 1 D
53%
Canada A
1 - 3 L
67%
Brazil A
1 - 5 L
75%
Japan H
1 - 4 L
62%
Uzbekistan H
6 - 0 W
39%
Australia A
3 - 3 D
66%
Philippines A
3 - 0 W
41%
Iran H
3 - 0 W
37%
Netherlands A
0 - 5 L
78%
Wales H
1 - 1 D
70%

AI Analysis

This is a fascinating matchup between two evenly-matched teams. The raw numbers tell one story, but when we adjust for opponent quality, the picture becomes even more intriguing. Both teams have earned their statistics against comparable opposition.

Zambia has faced significantly tougher opposition (SoS: 68.0) compared to South Korea (SoS: 45.6). This means Zambia's statistics carry more weight - they've been battle-tested against quality opponents.

South Korea leads the attacking statistics, averaging 2.0 goals per game compared to Zambia's 1.1 — a meaningful but far from decisive advantage.

Zambia has the defensive edge, conceding 1.8 per match compared to South Korea's 2.2.

Zambia has proven their mettle against elite opponents, winning 2 of 4 matches against top-tier teams. This is a crucial indicator of their ability to perform under pressure.

South Korea has struggled against elite opposition, winning only 0 of 3 matches. When the stakes are highest, their performance drops significantly.

Crunching the numbers, this match averages out to 3.6 total goals. Going Over 2.5 carries the stronger statistical case, with the BTTS market looking likely given current form.

❄️ Form Momentum: Zambia 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.

⚠️ Risk Factor: In matches this evenly balanced, the deciding factor often comes down to set pieces and individual errors. Both teams should be wary of complacency in a match where neither side has a clear edge.

💡 Why This Matters: Zambia's superior Strength of Schedule means their statistics were earned against tougher opponents. A team that performs well against strong opposition is more likely to maintain that level in any given match.

Statistically, there is very little to choose between these two teams. The numbers point to an evenly contested match where fine details and in-game decisions will likely prove decisive.

These two teams drew 1-1 in the Internationals Women (2026-04-18). 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

Zambia

Zambia

VS
South Korea

South Korea

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.

Zambia

2W 4D 4L · 11 goals scored · 18 conceded

South Korea

3W 3D 4L · 20 goals scored · 22 conceded

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