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Compare Nepal vs Indonesia

Nepal vs Indonesia Head-to-Head Stats and Form Comparison

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

Nepal Nepal Home Team
Indonesia Indonesia Away Team
Nepal
31.6
L L W L L

Last 10 Matches

Indonesia
33.2
D L W L L W

Performance Radar

Nepal
Indonesia

Categories Won

2

Nepal

3

Draw

10

Indonesia

Statistical Comparison

Win Percentage
20%

1W, 0D, 4L

33%

2W, 1D, 3L

Goals Scored / Match
0.6

3 / 5 matches

1.3

8 / 6 matches

Goals Conceded / Match
1.8

9 / 5 matches

3.0

18 / 6 matches

Goal Difference
-6

-6

-10

-10

Clean Sheet
0%

0 / 5 matches

0%

0 / 6 matches

Over 2.5 Goals
60%

3 / 5 matches

67%

4 / 6 matches

Both Teams to Score
40%

2 / 5 matches

67%

4 / 6 matches

Top Scorer
N/A (0 goals)
N/A (0 goals)
Most Goals by Half
1st Half: 0 / 2nd Half: 3
1st Half: 0 / 2nd Half: 8
Home Win Rate
0%

0W / 2 matches

20%

1W / 5 matches

Away Win Rate
33%

1W / 3 matches

100%

1W / 1 matches

Schedule Strength (SoS)
54.8

League Difficulty: 80.0, Opponent Quality: 65.0

64.8

League Difficulty: 80.0, Opponent Quality: 70.2

Elite Opponent Record
0%

0W / 1 matches

33%

1W / 3 matches

Expected Goals (xG)
0.74

Actual: 0.6 | Diff: -0.14

1.7

Actual: 1.3 | Diff: -0.37

Adjusted Power Rating
31.6

Attack: 21.0, Defense: 41.9, Form: 21.0

33.2

Attack: 49.7, Defense: 0.0, Form: 37.9

Goal Timing Analysis

0-15'

16-30'

31-45'

46-60'

61-75'

76-90+'

Nepal
Indonesia
Nepal

Power Rating Breakdown

31.6

Overall

Attack 21.0
Defense 41.9
Form 21.0
Consistency 56.8
Indonesia

Power Rating Breakdown

33.2

Overall

Attack 49.7
Defense 0.0
Form 37.9
Consistency 45.8

Strength of Schedule

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

League Difficulty

80.0 vs 80.0

Opponent Quality

65.0 vs 70.2

Elite Opponent Record

0% vs 33%
Nepal logo Nepal
L
Chinese Taipei (68%)
L
Indonesia (64%)
W
India (49%)
L
Iran (57%)
L
Thailand (87%)
Indonesia logo Indonesia
D
Cambodia (80%)
L
Singapore (71%)
W
New Caledonia (71%)
L
Congo DR (69%)
L
Chinese Taipei (68%)
W
Nepal (62%)

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
Chinese Taipei H
0 - 1 L
68%
Indonesia A
1 - 2 L
64%
India A
2 - 1 W
49%
Iran H
0 - 3 L
57%
Thailand A
0 - 2 L
87%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Cambodia H
1 - 1 D
80%
Singapore H
0 - 2 L
71%
New Caledonia A
4 - 2 W
71%
Congo DR H
1 - 7 L
69%
Chinese Taipei H
0 - 5 L
68%
Nepal H
2 - 1 W
62%

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.

Both teams have faced similar levels of opposition (SoS: 54.8 vs 64.8), making the raw statistics a reliable comparison tool in this matchup.

Indonesia leads the attacking statistics, averaging 1.3 goals per game compared to Nepal's 0.6 — a meaningful but far from decisive advantage.

Nepal holds a clear defensive edge, limiting opponents to just 1.8 goals per game and recording 0 clean sheets, compared to Indonesia's leaky backline that surrenders 3.0 goals per match.

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

Indonesia is a strong road performer with a 100% away win rate, proving they can deliver results regardless of venue.

Crunching the numbers, this match averages out to 3.4 total goals. Going Over 2.5 carries the stronger statistical case, with the BTTS market looking possible given current form.

❄️ Form Momentum: Nepal is struggling for form, winning just 1 of their last 5 matches. Teams in this state often lack the confidence to compete in tight moments.

❄️ Form Momentum: Indonesia is struggling for form, winning just 2 of their last 6 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: Indonesia'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.

The data offers no clear edge here. These sides are separated by the finest of margins across every key metric, making the final result almost impossible to call in advance.

In their recent Internationals Women match (2025-11-26), Indonesia prevailed 2-1 against Nepal. This result provides valuable insight into how these teams match up against each other. Indonesia secured this victory at home, where they tend to be strongest. However, the next encounter could present a different challenge if the venue changes. The narrow 2-1 result shows how tight these encounters are. A single moment of quality or a tactical tweak could swing the next meeting either way. Nepal will be eager to avenge this defeat. The desire for revenge can be a powerful motivator, and they may come into the next meeting with extra determination. Indonesia will carry a psychological advantage from this recent victory. Knowing you've beaten your opponent recently provides a significant confidence boost.

Match Simulator

AI-powered match simulation based on real statistics

Nepal

Nepal

VS
Indonesia

Indonesia

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.

Nepal

1W 0D 4L · 3 goals scored · 9 conceded

Indonesia

2W 1D 3L · 8 goals scored · 18 conceded

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