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Compare Malta vs Lithuania

Malta vs Lithuania Head-to-Head Stats and Form Comparison

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

Malta Malta Home Team
Lithuania Lithuania Away Team
Malta
36.1
W L L L L W L L W D

Last 10 Matches

Lithuania
30.3
L W L D L L L D L D

Performance Radar

Malta
Lithuania

Categories Won

9

Malta

2

Draw

4

Lithuania

Statistical Comparison

Win Percentage
30%

3W, 1D, 6L

10%

1W, 3D, 6L

Goals Scored / Match
1.1

11 / 10 matches

0.6

6 / 10 matches

Goals Conceded / Match
2.0

20 / 10 matches

1.9

19 / 10 matches

Goal Difference
-9

-9

-13

-13

Clean Sheet
20%

2 / 10 matches

30%

3 / 10 matches

Over 2.5 Goals
60%

6 / 10 matches

40%

4 / 10 matches

Both Teams to Score
50%

5 / 10 matches

30%

3 / 10 matches

Top Scorer
P. Mbong (2 goals)
G. Gineitis (3 goals)
Most Goals by Half
1st Half: 5 / 2nd Half: 6
1st Half: 4 / 2nd Half: 2
Home Win Rate
20%

1W / 5 matches

0%

0W / 5 matches

Away Win Rate
40%

2W / 5 matches

20%

1W / 5 matches

Schedule Strength (SoS)
53.1

League Difficulty: 82.4, Opponent Quality: 57.5

55.2

League Difficulty: 83.0, Opponent Quality: 62.8

Elite Opponent Record
0%

0W / 2 matches

0%

0W / 3 matches

Expected Goals (xG)
1.19

Actual: 1.1 | Diff: -0.09

0.69

Actual: 0.6 | Diff: -0.09

Adjusted Power Rating
36.1

Attack: 37.8, Defense: 34.4, Form: 30.9

30.3

Attack: 21.0, Defense: 38.6, Form: 10.5

Goal Timing Analysis

2

0-15'

16-30'

1
3

31-45'

3
1

46-60'

2

61-75'

1
3

76-90+'

1
Malta
Lithuania
Malta

Power Rating Breakdown

36.1

Overall

Attack 37.8
Defense 34.4
Form 30.9
Consistency 46.0
Lithuania

Power Rating Breakdown

30.3

Overall

Attack 21.0
Defense 38.6
Form 10.5
Consistency 74.8

Strength of Schedule

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

League Difficulty

82.4 vs 83.0

Opponent Quality

57.5 vs 62.8

Elite Opponent Record

0% vs 0%
Malta logo Malta
W
Azerbaijan (53%)
L
Slovakia (70%)
L
Luxembourg (55%)
L
Luxembourg (50%)
L
Poland (69%)
W
Finland (58%)
L
Bosnia (60%)
L
Netherlands (74%)
Lithuania logo Lithuania
L
Georgia (54%)
W
Moldova (42%)
L
Netherlands (79%)
D
Israel (64%)
L
Poland (69%)
L
Finland (58%)
L
Netherlands (74%)
D
Malta (52%)

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
Azerbaijan A
2 - 0 W
53%
Slovakia A
1 - 2 L
70%
Luxembourg A
0 - 3 L
55%
Luxembourg H
0 - 2 L
50%
Poland H
2 - 3 L
69%
Finland A
1 - 0 W
58%
Bosnia H
1 - 4 L
60%
Netherlands H
0 - 4 L
74%
San Marino H
3 - 1 W
34%
Lithuania A
1 - 1 D
52%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Georgia H
0 - 2 L
54%
Moldova A
2 - 0 W
42%
Netherlands A
0 - 4 L
79%
Israel H
0 - 0 D
64%
Poland H
0 - 2 L
69%
Finland A
1 - 2 L
58%
Netherlands H
2 - 3 L
74%
Malta H
1 - 1 D
52%
Denmark A
0 - 5 L
79%
Malta A
0 - 0 D
57%

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.

The level of competition each team has encountered is broadly aligned (SoS: 53.1 vs 55.2), which adds credibility to any direct statistical comparisons drawn between these two sides.

Malta holds the attacking edge with 1.1 goals per match versus Lithuania's 0.6, though the gap isn't insurmountable.

Both defenses are comparable, with Malta conceding 2.0 and Lithuania conceding 1.9 per match.

Lithuania 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 2.8 total goals. Going Over 2.5 carries the stronger statistical case, with the BTTS market looking possible given current form.

❄️ Form Momentum: Lithuania is struggling for form, winning just 1 of their last 10 matches. Teams in this state often lack the confidence to compete in tight moments.

⚠️ Risk Factor: Despite being the statistical favorite, Malta faces a key vulnerability: their defense concedes 2.0 goals per match. If Lithuania can exploit this, an upset becomes plausible.

💡 Why This Matters: The 5.8-point power rating gap between these teams translates to approximately a 64% win probability for Malta. In practical terms, Malta would win 6 out of 10 such matchups.

The numbers lean toward Malta, with a 5.8-point power rating gap pointing to a genuine advantage — though not one that makes this contest a formality.

These teams have faced each other 2 times in their recent matches, adding extra spice to this rivalry. These two teams drew 1-1 in the FIFA World Cup Qualifying - European (2025-09-04). 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. These two teams drew 0-0 in the FIFA World Cup Qualifying - European (2025-06-07). 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

Malta

Malta

VS
Lithuania

Lithuania

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.

Malta

3W 1D 6L · 11 goals scored · 20 conceded

Lithuania

1W 3D 6L · 6 goals scored · 19 conceded

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