Warscape
Simulated matchup ยท a model, not a forecast

๐Ÿ‡ท๐Ÿ‡บ Russia vs ๐Ÿ‡ฌ๐Ÿ‡ช GeorgiaMilitary comparison, and what happens if they fight

If Russia attacked Georgia today, with no allies joining on either side, this is what the WARSCAPE engine produced: Side A achieves its objectives after 141 days.

How the two militaries compare

Russia keeps 30 times as many soldiers under arms. Russia has 30 times the tanks. Russia has 92 times the combat aircraft. Russia spends 260 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.

RussiaGeorgia
1,100,000Active soldiers37,000
2,000,000Reservists20,000
3,000Tanks100
5,000Artillery200
1,100Combat aircraft12
800Helicopters20
$130.0bnDefence budget$0.5bn
144.0mPopulation3.7m

What the war cost

Russia
attacked
10,787
soldiers killed or wounded
73
tanks destroyed
181
aircraft lost
+23
areas of land gained
63%
support at home, at the end
Georgia
defended
1,066
soldiers killed or wounded
4
tanks destroyed
5
aircraft lost
โˆ’23
areas of land lost
32%
support at home, at the end

What decided it

01
Mobilisation helped Russia
Reservists mobilised: 874,238 vs 14,105.
02
Deployed combat power helped Russia
Average deployed combat power: 176 vs 10 model units.
03
Air situation helped Russia
Average share of air control for Russia: 85%.
04
Political cohesion helped Russia
Average cohesion: 67% vs 54%.
05
Logistics helped Georgia
Average front-line supply efficiency: 46% vs 56%.
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 141 simulated days the conflict between Russia and Georgia ended with: Side A achieves its objectives (capital captured). Aggregate personnel losses within the model: 10,787 (Russia) and 1,066 (Georgia). 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.