Warscape
Simulated matchup ยท a model, not a forecast

๐Ÿ‡ง๐Ÿ‡ช Belgium vs ๐Ÿ‡ฑ๐Ÿ‡บ LuxembourgMilitary comparison, and what happens if they fight

If Belgium attacked Luxembourg today, with no allies joining on either side, this is what the WARSCAPE engine produced: Side A achieves its objectives after 125 days.

How the two militaries compare

Belgium keeps 25 times as many soldiers under arms. Belgium has tanks and Luxembourg has none. Belgium has combat aircraft and Luxembourg has none. Belgium spends 13 times as much on defence. Public, country-level figures from the data snapshot the run was pinned to (2026.09). See data sources for where each number comes from.

BelgiumLuxembourg
25,000Active soldiers1,000
6,000Reservists0
10Tanks0
20Artillery5
50Combat aircraft0
30Helicopters3
$8.0bnDefence budget$0.6bn
11.7mPopulation0.7m

What the war cost

Belgium
attacked
1,129
soldiers killed or wounded
1
tanks destroyed
8
aircraft lost
+1
areas of land gained
48%
support at home, at the end
Luxembourg
defended
27
soldiers killed or wounded
0
tanks destroyed
0
aircraft lost
โˆ’1
areas of land lost
55%
support at home, at the end

What decided it

01
Mobilisation helped Belgium
Reservists mobilised: 66,686 vs 0.
02
Deployed combat power helped Belgium
Average deployed combat power: 8 vs 1 model units.
03
Air situation helped Belgium
Average share of air control for Belgium: 82%.
04
Political cohesion helped Luxembourg
Average cohesion: 55% vs 67%.
05
Logistics helped Belgium
Average front-line supply efficiency: 80% vs 78%.
Think it would go differently?

This run assumed no allies, winter, full mobilization for the attacker and partial for the defender, and no nuclear weapons. Change any of that and watch it play out day by day on the map.

Other borders in this neighbourhood

All matchups โ†’
After 125 simulated days the conflict between Belgium and Luxembourg ended with: Side A achieves its objectives (capital captured). Aggregate personnel losses within the model: 1,129 (Belgium) and 27 (Luxembourg). This page reports one seeded run of a model on public, aggregate data. It is not a prediction, and no operational information is used.

Model-generated simulation on public, country-level data. Not a prediction. No operational, classified or real-time information is used.