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Untimed expedition · Data edition 01051846d672
28Wins
2Losses
0Ties
Explore the final empire · 38 countries
No countries match your search.
The path through the world
One choice at a time.
30 rounds
Where it began · 12 countries
El Salvador · Morocco · Malaysia · Moldova · Mexico · Indonesia · Timor-Leste · Panama · China · Azerbaijan · Palestine · Guatemala
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 1Won13 countries · 4 lives left
El SalvadorvsLaos
Coastline: 307 vs 0 km · Higher wins ↑
Conquered Laos.
Other category comparisons 4 other winning choices
All eight categories for El Salvador against Laos
Category
El Salvador
Laos
Result
Areakm² · Higher wins ↑
21,041
236,800
Would lose
Populationpeople · Higher wins ↑
6,309,624
7,664,993
Would lose
Wealth per personint’l $ · Higher wins ↑
12,667
9,299
Would win
Densityper km² · Higher wins ↑
299.9
32.4
Would win
Highest peakm · Higher wins ↑
2,730
2,817
Would lose
Coastlinekm · Higher wins ↑ · Chosen
307
0
Would win
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.9° N
19.6° N
Would win
2
Round 2Won14 countries · 4 lives left
MoroccovsCambodia
Wealth per person: 9,903 vs 7,437 int’l $ · Higher wins ↑
Conquered Cambodia.
Other category comparisons 4 other winning choices
All eight categories for Morocco against Cambodia
Category
Morocco
Cambodia
Result
Areakm² · Higher wins ↑
446,550
181,035
Would win
Populationpeople · Higher wins ↑
37,712,505
17,423,880
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
9,903
7,437
Would win
Densityper km² · Higher wins ↑
84.5
96.2
Would lose
Highest peakm · Higher wins ↑
4,165
1,810
Would win
Coastlinekm · Higher wins ↑
1,835
443
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
12.6° N
Would lose
3
Round 3Won15 countries · 4 lives left
MalaysiavsFinland
Population: 35,126,298 vs 5,583,911 people · Higher wins ↑
Conquered Finland.
Other category comparisons 5 other winning choices
All eight categories for Malaysia against Finland
Category
Malaysia
Finland
Result
Areakm² · Higher wins ↑
329,847
338,145
Would lose
Populationpeople · Higher wins ↑ · Chosen
35,126,298
5,583,911
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
63,467
Would lose
Densityper km² · Higher wins ↑
106.5
16.5
Would win
Highest peakm · Higher wins ↑
4,095
1,328
Would win
Coastlinekm · Higher wins ↑
4,675
1,250
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
63.3° N
Would win
4
Round 4Won16 countries · 4 lives left
MoldovavsCuba
Flag colours: 9 vs 3 colours · Higher wins ↑
Conquered Cuba.
Other category comparisons 0 other winning choices
All eight categories for Moldova against Cuba
Category
Moldova
Cuba
Result
Areakm² · Higher wins ↑
33,851
110,860
Would lose
Populationpeople · Higher wins ↑
2,457,783
11,019,931
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
17,751
Unavailable
Unavailable
Densityper km² · Higher wins ↑
72.6
99.4
Would lose
Highest peakm · Higher wins ↑
430
1,974
Would lose
Coastlinekm · Higher wins ↑
0
3,735
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
20.6° N
Would lose
5
Round 5Won17 countries · 4 lives left
MexicovsSerbia
Population: 129,739,759 vs 6,623,183 people · Higher wins ↑
Conquered Serbia.
Other category comparisons 5 other winning choices
All eight categories for Mexico against Serbia
Category
Mexico
Serbia
Result
Areakm² · Higher wins ↑
1,964,375
77,474
Would win
Populationpeople · Higher wins ↑ · Chosen
129,739,759
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
29,777
Would lose
Densityper km² · Higher wins ↑
66.0
85.5
Would lose
Highest peakm · Higher wins ↑
5,636
2,169
Would win
Coastlinekm · Higher wins ↑
9,330
0
Would win
Flag colourscolours · Higher wins ↑
11
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
44.2° N
Would win
6
Round 6Won18 countries · 4 lives left
IndonesiavsComoros
Population: 281,190,067 vs 850,387 people · Higher wins ↑
Conquered Comoros.
Other category comparisons 5 other winning choices
All eight categories for Indonesia against Comoros
Category
Indonesia
Comoros
Result
Areakm² · Higher wins ↑
1,904,569
2,235
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
850,387
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
3,897
Would win
Densityper km² · Higher wins ↑
147.6
380.5
Would lose
Highest peakm · Higher wins ↑
4,884
2,360
Would win
Coastlinekm · Higher wins ↑
54,716
340
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
11.7° S
Would win
7
Round 7Won19 countries · 4 lives left
Timor-LestevsAlgeria
Density: 93.1 vs 19.4 per km² · Higher wins ↑
Conquered Algeria.
Other category comparisons 3 other winning choices
All eight categories for Timor-Leste against Algeria
Category
Timor-Leste
Algeria
Result
Areakm² · Higher wins ↑
14,874
2,381,740
Would lose
Populationpeople · Higher wins ↑
1,384,286
46,164,219
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
16,838
Would lose
Densityper km² · Higher wins ↑ · Chosen
93.1
19.4
Would win
Highest peakm · Higher wins ↑
2,963
2,908
Would win
Coastlinekm · Higher wins ↑
706
998
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
27.4° N
Would win
8
Round 8Won20 countries · 4 lives left
PanamavsBosnia and Herzegovina
Population: 4,458,759 vs 3,185,073 people · Higher wins ↑
Conquered Bosnia and Herzegovina.
Other category comparisons 5 other winning choices
All eight categories for Panama against Bosnia and Herzegovina
Category
Panama
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑
75,420
51,197
Would win
Populationpeople · Higher wins ↑ · Chosen
4,458,759
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑
39,846
23,376
Would win
Densityper km² · Higher wins ↑
59.1
62.2
Would lose
Highest peakm · Higher wins ↑
3,475
2,386
Would win
Coastlinekm · Higher wins ↑
2,490
20
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.4° N
44.1° N
Would win
9
Round 9Won21 countries · 4 lives left
ChinavsSri Lanka
Population: 1,410,710,000 vs 22,037,000 people · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 4 other winning choices
All eight categories for China against Sri Lanka
Category
China
Sri Lanka
Result
Areakm² · Higher wins ↑
9,596,960
65,610
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
22,037,000
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
14,512
Would win
Densityper km² · Higher wins ↑
147.0
335.9
Would lose
Highest peakm · Higher wins ↑
8,849
2,524
Would win
Coastlinekm · Higher wins ↑
14,500
1,340
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
7.1° N
Would lose
10
Round 10Lost20 countries · 3 lives left
AzerbaijanvsBolivia
Flag colours: 4 vs 9 colours · Higher wins ↑
Returned to the world: Azerbaijan.
Other category comparisons 2 other winning choices
All eight categories for Azerbaijan against Bolivia
Category
Azerbaijan
Bolivia
Result
Areakm² · Higher wins ↑
86,600
1,098,581
Would lose
Populationpeople · Higher wins ↑
10,153,958
12,244,159
Would lose
Wealth per personint’l $ · Higher wins ↑
23,671
12,903
Would win
Densityper km² · Higher wins ↑
117.3
11.1
Would win
Highest peakm · Higher wins ↑
4,466
6,542
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑ · Chosen
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
16.7° S
Would lose
11
Round 11Won21 countries · 3 lives left
PalestinevsSwitzerland
Density: 830.5 vs 215.3 per km² · Higher wins ↑
Conquered Switzerland.
Other category comparisons 3 other winning choices
All eight categories for Palestine against Switzerland
Category
Palestine
Switzerland
Result
Areakm² · Higher wins ↑
6,220
41,277
Would lose
Populationpeople · Higher wins ↑
5,165,775
8,888,822
Would lose
Wealth per personint’l $ · Higher wins ↑
6,179
93,940
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
215.3
Would win
Highest peakm · Higher wins ↑
1,020
4,634
Would lose
Coastlinekm · Higher wins ↑
40
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
46.7° N
Would win
12
Round 12Won22 countries · 3 lives left
GuatemalavsBotswana
Density: 166.5 vs 4.3 per km² · Higher wins ↑
Conquered Botswana.
Other category comparisons 5 other winning choices
All eight categories for Guatemala against Botswana
Category
Guatemala
Botswana
Result
Areakm² · Higher wins ↑
108,889
581,730
Would lose
Populationpeople · Higher wins ↑
18,124,838
2,480,244
Would win
Wealth per personint’l $ · Higher wins ↑
13,752
21,029
Would lose
Densityper km² · Higher wins ↑ · Chosen
166.5
4.3
Would win
Highest peakm · Higher wins ↑
4,220
1,495
Would win
Coastlinekm · Higher wins ↑
400
0
Would win
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
22.1° S
Would win
13
Round 13Won23 countries · 3 lives left
El SalvadorvsBurkina Faso
Wealth per person: 12,667 vs 2,762 int’l $ · Higher wins ↑
Conquered Burkina Faso.
Other category comparisons 4 other winning choices
All eight categories for El Salvador against Burkina Faso
Category
El Salvador
Burkina Faso
Result
Areakm² · Higher wins ↑
21,041
274,200
Would lose
Populationpeople · Higher wins ↑
6,309,624
23,025,776
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
12,667
2,762
Would win
Densityper km² · Higher wins ↑
299.9
84.0
Would win
Highest peakm · Higher wins ↑
2,730
749
Would win
Coastlinekm · Higher wins ↑
307
0
Would win
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.9° N
12.8° N
Would lose
14
Round 14Won24 countries · 3 lives left
LaosvsNamibia
Density: 32.4 vs 3.6 per km² · Higher wins ↑
Conquered Namibia.
Other category comparisons 3 other winning choices
All eight categories for Laos against Namibia
Category
Laos
Namibia
Result
Areakm² · Higher wins ↑
236,800
824,292
Would lose
Populationpeople · Higher wins ↑
7,664,993
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
9,299
11,248
Would lose
Densityper km² · Higher wins ↑ · Chosen
32.4
3.6
Would win
Highest peakm · Higher wins ↑
2,817
2,573
Would win
Coastlinekm · Higher wins ↑
0
1,572
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
19.6° N
20.6° S
Would win
15
Round 15Won25 countries · 3 lives left
MoroccovsNiger
Density: 84.5 vs 20.6 per km² · Higher wins ↑
Conquered Niger.
Other category comparisons 4 other winning choices
All eight categories for Morocco against Niger
Category
Morocco
Niger
Result
Areakm² · Higher wins ↑
446,550
1,267,000
Would lose
Populationpeople · Higher wins ↑
37,712,505
26,159,867
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
1,903
Would win
Densityper km² · Higher wins ↑ · Chosen
84.5
20.6
Would win
Highest peakm · Higher wins ↑
4,165
2,022
Would win
Coastlinekm · Higher wins ↑
1,835
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
17.6° N
Would lose
16
Round 16Won26 countries · 3 lives left
CambodiavsBolivia
Density: 96.2 vs 11.1 per km² · Higher wins ↑
Conquered Bolivia.
Other category comparisons 3 other winning choices
All eight categories for Cambodia against Bolivia
Category
Cambodia
Bolivia
Result
Areakm² · Higher wins ↑
181,035
1,098,581
Would lose
Populationpeople · Higher wins ↑
17,423,880
12,244,159
Would win
Wealth per personint’l $ · Higher wins ↑
7,437
12,903
Would lose
Densityper km² · Higher wins ↑ · Chosen
96.2
11.1
Would win
Highest peakm · Higher wins ↑
1,810
6,542
Would lose
Coastlinekm · Higher wins ↑
443
0
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
16.7° S
Would win
17
Round 17Won27 countries · 3 lives left
MalaysiavsOman
Population: 35,126,298 vs 5,049,269 people · Higher wins ↑
Conquered Oman.
Other category comparisons 6 other winning choices
All eight categories for Malaysia against Oman
Category
Malaysia
Oman
Result
Areakm² · Higher wins ↑
329,847
309,500
Would win
Populationpeople · Higher wins ↑ · Chosen
35,126,298
5,049,269
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
41,980
Would lose
Densityper km² · Higher wins ↑
106.5
16.3
Would win
Highest peakm · Higher wins ↑
4,095
3,004
Would win
Coastlinekm · Higher wins ↑
4,675
2,092
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
22.1° N
Would win
18
Round 18Won28 countries · 3 lives left
FinlandvsMalawi
Wealth per person: 63,467 vs 1,832 int’l $ · Higher wins ↑
Conquered Malawi.
Other category comparisons 2 other winning choices
All eight categories for Finland against Malawi
Category
Finland
Malawi
Result
Areakm² · Higher wins ↑
338,145
118,484
Would win
Populationpeople · Higher wins ↑
5,583,911
21,104,482
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
63,467
1,832
Would win
Densityper km² · Higher wins ↑
16.5
178.1
Would lose
Highest peakm · Higher wins ↑
1,328
3,002
Would lose
Coastlinekm · Higher wins ↑
1,250
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
13.4° S
Would lose
19
Round 19Won29 countries · 3 lives left
MoldovavsVietnam
Wealth per person: 17,751 vs 15,034 int’l $ · Higher wins ↑
Conquered Vietnam.
Other category comparisons 1 other winning choice
All eight categories for Moldova against Vietnam
Category
Moldova
Vietnam
Result
Areakm² · Higher wins ↑
33,851
331,210
Would lose
Populationpeople · Higher wins ↑
2,457,783
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,751
15,034
Would win
Densityper km² · Higher wins ↑
72.6
303.0
Would lose
Highest peakm · Higher wins ↑
430
3,144
Would lose
Coastlinekm · Higher wins ↑
0
3,444
Would lose
Flag colourscolours · Higher wins ↑
9
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
21.7° N
Would lose
20
Round 20Won30 countries · 3 lives left
CubavsEritrea
Coastline: 3,735 vs 2,234 km · Higher wins ↑
Conquered Eritrea.
Other category comparisons 2 other winning choices
All eight categories for Cuba against Eritrea
Category
Cuba
Eritrea
Result
Areakm² · Higher wins ↑
110,860
117,600
Would lose
Populationpeople · Higher wins ↑
11,019,931
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.. Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
Unavailable
Unavailable
Densityper km² · Higher wins ↑
99.4
29.5
Would win
Highest peakm · Higher wins ↑
1,974
3,018
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,735
2,234
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
El Salvadorvs
Laos
Morocco
Cambodia
Malaysia
Finland
Moldova
Cuba
Mexico
Serbia
Indonesia
Comoros
Timor-Leste
Algeria
Panama
Bosnia and Herzegovina
China
Sri Lanka
Azerbaijan
Bolivia
Palestine
Switzerland
Guatemala
Botswana
Burkina Faso
Namibia
Niger
Oman
Malawi
Vietnam
Eritrea