Sign up to keep your history → Your games from this browser come with you. Confirm your email to add eligible scores to the highscores.
Untimed expedition · Data edition 01051846d672
14Wins
4Losses
0Ties
Explore the final empire · 22 countries
No countries match your search.
The path through the world
One choice at a time.
18 rounds
Where it began · 12 countries
Djibouti · Poland · India · Austria · Bulgaria · Czechia · Georgia · Kenya · Sierra Leone · Peru · Germany · Cambodia
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
1
Round 1Lost11 countries · 3 lives left
DjiboutivsTogo
Area: 23,200 vs 56,785 km² · Higher wins ↑
Returned to the world: Djibouti.
Other category comparisons 3 other winning choices
All eight categories for Djibouti against Togo
Category
Djibouti
Togo
Result
Areakm² · Higher wins ↑ · Chosen
23,200
56,785
Would lose
Populationpeople · Higher wins ↑
1,152,944
8,223,850
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
3,572
Would win
Densityper km² · Higher wins ↑
49.7
144.8
Would lose
Highest peakm · Higher wins ↑
2,021
986
Would win
Coastlinekm · Higher wins ↑
314
56
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
11.4° N
8.9° N
Would lose
2
Round 2Won12 countries · 3 lives left
PolandvsHonduras
Wealth per person: 48,473 vs 7,184 int’l $ · Higher wins ↑
Conquered Honduras.
Other category comparisons 3 other winning choices
All eight categories for Poland against Honduras
Category
Poland
Honduras
Result
Areakm² · Higher wins ↑
312,685
112,090
Would win
Populationpeople · Higher wins ↑
36,687,353
10,644,851
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,473
7,184
Would win
Densityper km² · Higher wins ↑
117.3
95.0
Would win
Highest peakm · Higher wins ↑
2,499
2,870
Would lose
Coastlinekm · Higher wins ↑
440
823
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
14.7° N
Would lose
3
Round 3Won13 countries · 3 lives left
IndiavsRwanda
Area: 3,287,263 vs 26,338 km² · Higher wins ↑
Conquered Rwanda.
Other category comparisons 5 other winning choices
All eight categories for India against Rwanda
Category
India
Rwanda
Result
Areakm² · Higher wins ↑ · Chosen
3,287,263
26,338
Would win
Populationpeople · Higher wins ↑
1,438,069,596
13,954,471
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
3,519
Would win
Densityper km² · Higher wins ↑
437.5
529.8
Would lose
Highest peakm · Higher wins ↑
8,586
4,519
Would win
Coastlinekm · Higher wins ↑
7,000
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
1.8° S
Would lose
4
Round 4Won14 countries · 3 lives left
AustriavsSudan
Wealth per person: 74,261 vs 2,423 int’l $ · Higher wins ↑
Conquered Sudan.
Other category comparisons 2 other winning choices
All eight categories for Austria against Sudan
Category
Austria
Sudan
Result
Areakm² · Higher wins ↑
83,871
1,861,484
Would lose
Populationpeople · Higher wins ↑
9,131,761
50,042,791
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
74,261
2,423
Would win
Densityper km² · Higher wins ↑
108.9
26.9
Would win
Highest peakm · Higher wins ↑
3,798
3,042
Would win
Coastlinekm · Higher wins ↑
0
853
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
16.6° N
Would lose
5
Round 5Won15 countries · 3 lives left
BulgariavsMozambique
Wealth per person: 38,829 vs 1,680 int’l $ · Higher wins ↑
Conquered Mozambique.
Other category comparisons 2 other winning choices
All eight categories for Bulgaria against Mozambique
Category
Bulgaria
Mozambique
Result
Areakm² · Higher wins ↑
110,879
799,380
Would lose
Populationpeople · Higher wins ↑
6,446,596
33,635,160
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
38,829
1,680
Would win
Densityper km² · Higher wins ↑
58.1
42.1
Would win
Highest peakm · Higher wins ↑
2,925
2,436
Would win
Coastlinekm · Higher wins ↑
354
2,470
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
14.0° S
Would lose
6
Round 6Won16 countries · 3 lives left
CzechiavsMorocco
Wealth per person: 56,062 vs 9,903 int’l $ · Higher wins ↑
Conquered Morocco.
Other category comparisons 2 other winning choices
All eight categories for Czechia against Morocco
Category
Czechia
Morocco
Result
Areakm² · Higher wins ↑
78,867
446,550
Would lose
Populationpeople · Higher wins ↑
10,864,042
37,712,505
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
9,903
Would win
Densityper km² · Higher wins ↑
137.8
84.5
Would win
Highest peakm · Higher wins ↑
1,602
4,165
Would lose
Coastlinekm · Higher wins ↑
0
1,835
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
31.9° N
Would lose
7
Round 7Won17 countries · 3 lives left
GeorgiavsAustralia
Density: 53.3 vs 3.4 per km² · Higher wins ↑
Conquered Australia.
Other category comparisons 1 other winning choice
All eight categories for Georgia against Australia
Category
Georgia
Australia
Result
Areakm² · Higher wins ↑
69,700
7,741,220
Would lose
Populationpeople · Higher wins ↑
3,715,483
26,659,922
Would lose
Wealth per personint’l $ · Higher wins ↑
25,093
72,273
Would lose
Densityper km² · Higher wins ↑ · Chosen
53.3
3.4
Would win
Highest peakm · Higher wins ↑
5,193
2,228
Would win
Coastlinekm · Higher wins ↑
310
25,760
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.4° N
23.1° S
Would lose
8
Round 8Won18 countries · 3 lives left
KenyavsEstonia
Area: 580,367 vs 45,228 km² · Higher wins ↑
Conquered Estonia.
Other category comparisons 5 other winning choices
All eight categories for Kenya against Estonia
Category
Kenya
Estonia
Result
Areakm² · Higher wins ↑ · Chosen
580,367
45,228
Would win
Populationpeople · Higher wins ↑
55,339,003
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
6,322
48,848
Would lose
Densityper km² · Higher wins ↑
95.4
30.3
Would win
Highest peakm · Higher wins ↑
5,199
318
Would win
Coastlinekm · Higher wins ↑
536
3,794
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
0.4° N
58.6° N
Would win
9
Round 9Lost17 countries · 2 lives left
Sierra LeonevsGabon
Proximity to equator: 8.7° N vs 0.6° S from the equator · Closer wins ↓
Returned to the world: Sierra Leone.
Other category comparisons 3 other winning choices
All eight categories for Sierra Leone against Gabon
Category
Sierra Leone
Gabon
Result
Areakm² · Higher wins ↑
71,740
267,667
Would lose
Populationpeople · Higher wins ↑
8,460,512
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
3,371
20,773
Would lose
Densityper km² · Higher wins ↑
117.9
9.3
Would win
Highest peakm · Higher wins ↑
1,948
1,050
Would win
Coastlinekm · Higher wins ↑
402
885
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.7° N
0.6° S
Would lose
10
Round 10Won18 countries · 2 lives left
PeruvsTogo
Highest peak: 6,746 vs 986 m · Higher wins ↑
Conquered Togo.
Other category comparisons 4 other winning choices
All eight categories for Peru against Togo
Category
Peru
Togo
Result
Areakm² · Higher wins ↑
1,285,216
56,785
Would win
Populationpeople · Higher wins ↑
33,845,617
8,223,850
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
3,572
Would win
Densityper km² · Higher wins ↑
26.3
144.8
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,746
986
Would win
Coastlinekm · Higher wins ↑
2,414
56
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
8.9° N
Would lose
11
Round 11Won19 countries · 2 lives left
GermanyvsBangladesh
Wealth per person: 72,262 vs 9,155 int’l $ · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 4 other winning choices
All eight categories for Germany against Bangladesh
Category
Germany
Bangladesh
Result
Areakm² · Higher wins ↑
357,022
148,460
Would win
Populationpeople · Higher wins ↑
83,287,273
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,262
9,155
Would win
Densityper km² · Higher wins ↑
233.3
1,155.0
Would lose
Highest peakm · Higher wins ↑
2,963
1,060
Would win
Coastlinekm · Higher wins ↑
2,389
580
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
24.3° N
Would lose
12
Round 12Won20 countries · 2 lives left
CambodiavsBrunei
Area: 181,035 vs 5,765 km² · Higher wins ↑
Conquered Brunei.
Other category comparisons 3 other winning choices
All eight categories for Cambodia against Brunei
Category
Cambodia
Brunei
Result
Areakm² · Higher wins ↑ · Chosen
181,035
5,765
Would win
Populationpeople · Higher wins ↑
17,423,880
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
7,437
85,103
Would lose
Densityper km² · Higher wins ↑
96.2
79.6
Would win
Highest peakm · Higher wins ↑
1,810
1,850
Would lose
Coastlinekm · Higher wins ↑
443
161
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
4.5° N
Would lose
13
Round 13Won21 countries · 2 lives left
PolandvsEcuador
Wealth per person: 48,473 vs 15,907 int’l $ · Higher wins ↑
Conquered Ecuador.
Other category comparisons 3 other winning choices
All eight categories for Poland against Ecuador
Category
Poland
Ecuador
Result
Areakm² · Higher wins ↑
312,685
283,561
Would win
Populationpeople · Higher wins ↑
36,687,353
17,980,083
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,473
15,907
Would win
Densityper km² · Higher wins ↑
117.3
63.4
Would win
Highest peakm · Higher wins ↑
2,499
6,267
Would lose
Coastlinekm · Higher wins ↑
440
2,237
Would lose
Flag colourscolours · Higher wins ↑
2
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
1.2° S
Would lose
14
Round 14Won22 countries · 2 lives left
HondurasvsMoldova
Proximity to equator: 14.7° N vs 47.5° N from the equator · Closer wins ↓
Conquered Moldova.
Other category comparisons 5 other winning choices
All eight categories for Honduras against Moldova
Category
Honduras
Moldova
Result
Areakm² · Higher wins ↑
112,090
33,851
Would win
Populationpeople · Higher wins ↑
10,644,851
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
7,184
17,751
Would lose
Densityper km² · Higher wins ↑
95.0
72.6
Would win
Highest peakm · Higher wins ↑
2,870
430
Would win
Coastlinekm · Higher wins ↑
823
0
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.7° N
47.5° N
Would win
15
Round 15Won23 countries · 2 lives left
IndiavsIceland
Area: 3,287,263 vs 103,000 km² · Higher wins ↑
Conquered Iceland.
Other category comparisons 6 other winning choices
All eight categories for India against Iceland
Category
India
Iceland
Result
Areakm² · Higher wins ↑ · Chosen
3,287,263
103,000
Would win
Populationpeople · Higher wins ↑
1,438,069,596
385,663
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
82,257
Would lose
Densityper km² · Higher wins ↑
437.5
3.7
Would win
Highest peakm · Higher wins ↑
8,586
2,110
Would win
Coastlinekm · Higher wins ↑
7,000
4,970
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
64.7° N
Would win
16
Round 16Lost22 countries · 1 life left
RwandavsBurkina Faso
Population: 13,954,471 vs 23,025,776 people · Higher wins ↑
Returned to the world: Rwanda.
Other category comparisons 4 other winning choices
All eight categories for Rwanda against Burkina Faso
Category
Rwanda
Burkina Faso
Result
Areakm² · Higher wins ↑
26,338
274,200
Would lose
Populationpeople · Higher wins ↑ · Chosen
13,954,471
23,025,776
Would lose
Wealth per personint’l $ · Higher wins ↑
3,519
2,762
Would win
Densityper km² · Higher wins ↑
529.8
84.0
Would win
Highest peakm · Higher wins ↑
4,519
749
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.8° S
12.8° N
Would win
17
Round 17Won23 countries · 1 life left
AustriavsSouth Sudan
Highest peak: 3,798 vs 3,187 m · Higher wins ↑
Conquered South Sudan.
Other category comparisons 1 other winning choice
All eight categories for Austria against South Sudan
Category
Austria
South Sudan
Result
Areakm² · Higher wins ↑
83,871
644,329
Would lose
Populationpeople · Higher wins ↑
9,131,761
11,483,374
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
74,261
Unavailable
Unavailable
Densityper km² · Higher wins ↑
108.9
17.8
Would win
Highest peakm · Higher wins ↑ · Chosen
3,798
3,187
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
7.1° N
Would lose
18
Round 18Lost22 countries · 0 lives left
SudanvsSri Lanka
Proximity to equator: 16.6° N vs 7.1° N from the equator · Closer wins ↓
Returned to the world: Sudan.
Other category comparisons 3 other winning choices
All eight categories for Sudan against Sri Lanka
Category
Sudan
Sri Lanka
Result
Areakm² · Higher wins ↑
1,861,484
65,610
Would win
Populationpeople · Higher wins ↑
50,042,791
22,037,000
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
14,512
Would lose
Densityper km² · Higher wins ↑
26.9
335.9
Would lose
Highest peakm · Higher wins ↑
3,042
2,524
Would win
Coastlinekm · Higher wins ↑
853
1,340
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen