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Compare Nepal vs India

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

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

Nepal Nepal Home Team
India India Away Team
Nepal
31.6
L L W L L

Last 10 Matches

India
23.2
W L L L L L L L

Performance Radar

Nepal
India

Categories Won

5

Nepal

3

Draw

7

India

Statistical Comparison

Win Percentage
20%

1W, 0D, 4L

12%

1W, 0D, 7L

Goals Scored / Match
0.6

3 / 5 matches

0.8

6 / 8 matches

Goals Conceded / Match
1.8

9 / 5 matches

3.1

25 / 8 matches

Goal Difference
-6

-6

-19

-19

Clean Sheet
0%

0 / 5 matches

0%

0 / 8 matches

Over 2.5 Goals
60%

3 / 5 matches

62%

5 / 8 matches

Both Teams to Score
40%

2 / 5 matches

50%

4 / 8 matches

Top Scorer
N/A (0 goals)
S. Nongrum (1 goals)
Most Goals by Half
1st Half: 0 / 2nd Half: 3
1st Half: 1 / 2nd Half: 5
Home Win Rate
0%

0W / 2 matches

17%

1W / 6 matches

Away Win Rate
33%

1W / 3 matches

0%

0W / 2 matches

Schedule Strength (SoS)
54.8

League Difficulty: 80.0, Opponent Quality: 65.0

59.0

League Difficulty: 66.9, Opponent Quality: 53.8

Elite Opponent Record
0%

0W / 1 matches

0%

0W / 0 matches

Expected Goals (xG)
0.74

Actual: 0.6 | Diff: -0.14

0.8

Actual: 0.8 | Diff: -0.05

Adjusted Power Rating
31.6

Attack: 21.0, Defense: 41.9, Form: 21.0

23.2

Attack: 29.1, Defense: 0.0, Form: 13.1

Goal Timing Analysis

0-15'

16-30'

31-45'

1

46-60'

1

61-75'

76-90+'

Nepal
India
Nepal

Power Rating Breakdown

31.6

Overall

Attack 21.0
Defense 41.9
Form 21.0
Consistency 56.8
India

Power Rating Breakdown

23.2

Overall

Attack 29.1
Defense 0.0
Form 13.1
Consistency 70.5

Strength of Schedule

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

League Difficulty

80.0 vs 66.9

Opponent Quality

65.0 vs 53.8

Elite Opponent Record

0% vs 0%
Nepal logo Nepal
L
Chinese Taipei (68%)
L
Indonesia (64%)
W
India (49%)
L
Iran (57%)
L
Thailand (87%)
India logo India
W
Malawi (49%)
L
Kenya (60%)
L
Chinese Taipei (50%)
L
Japan (62%)
L
Vietnam (37%)
L
Nepal (62%)
L
Iran (57%)
L
Uzbekistan (53%)

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
Malawi H
3 - 2 W
49%
Kenya A
0 - 2 L
60%
Chinese Taipei H
1 - 3 L
50%
Japan H
0 - 11 L
62%
Vietnam A
1 - 2 L
37%
Nepal H
1 - 2 L
62%
Iran H
0 - 2 L
57%
Uzbekistan H
0 - 1 L
53%

AI Analysis

The statistics point to a clear direction in this matchup, though the underdog should not be underestimated. When we factor in the quality of opponents each team has faced, the gap narrows slightly but the overall picture remains consistent.

With comparable strength of schedule figures (54.8 vs 59.0), the opposition quality faced by both sides has been largely equivalent, giving these head-to-head stats greater analytical validity.

Both teams are evenly matched in attack, with Nepal averaging 0.6 and India averaging 0.8 goals per match.

The numbers tell a compelling defensive story for Nepal — 1.8 goals conceded per game and 0 clean sheets put them well ahead of India, who give up 3.1 goals per match at the other end.

India has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.

Based on the combined statistics, expect 3.2 total goals. Over 2.5 goals is the statistical lean, with BTTS (Both Teams to Score) being possible.

❄️ 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: India is struggling for form, winning just 1 of their last 8 matches. Teams in this state often lack the confidence to compete in tight moments.

⚠️ Risk Factor: Despite being the statistical favorite, Nepal faces a key vulnerability: their defense concedes 1.8 goals per match. If India can exploit this, an upset becomes plausible.

💡 Why This Matters: The 8.4-point power rating gap between these teams translates to approximately a 71% win probability for Nepal. In practical terms, Nepal would win 7 out of 10 such matchups.

Nepal has the edge based on adjusted metrics, but this is far from a foregone conclusion. The 8.4-point power gap suggests an advantage without guaranteeing victory.

In their recent Internationals Women match (2025-10-27), Nepal prevailed 1-2 against India. This result provides valuable insight into how these teams match up against each other. Notably, Nepal achieved this result away from home, which is particularly impressive. Winning on the road against India shows genuine quality and mental strength. The narrow 1-2 result shows how tight these encounters are. A single moment of quality or a tactical tweak could swing the next meeting either way. India 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. Nepal 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
India

India

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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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

India

1W 0D 7L · 6 goals scored · 25 conceded

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