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Untimed expedition · Data edition 01051846d672
108Wins
4Losses
2Ties
Explore the final empire · 118 countries
No countries match your search.
The path through the world
One choice at a time.
114 rounds
Where it began · 12 countries
Brunei · Colombia · Republic of the Congo · Bangladesh · Angola · Kazakhstan · Azerbaijan · Liberia · Djibouti · Nigeria · Peru · Brazil
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
BruneivsIran
Wealth per person: 85,103 vs 18,933 int’l $ · Higher wins ↑
Conquered Iran.
Other category comparisons 3 other winning choices
All eight categories for Brunei against Iran
Category
Brunei
Iran
Result
Areakm² · Higher wins ↑
5,765
1,648,195
Would lose
Populationpeople · Higher wins ↑
458,949
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
85,103
18,933
Would win
Densityper km² · Higher wins ↑
79.6
55.0
Would win
Highest peakm · Higher wins ↑
1,850
5,625
Would lose
Coastlinekm · Higher wins ↑
161
2,440
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
32.1° N
Would win
2
Round 2Won14 countries · 4 lives left
ColombiavsArgentina
Population: 52,321,152 vs 45,538,401 people · Higher wins ↑
Conquered Argentina.
Other category comparisons 2 other winning choices
All eight categories for Colombia against Argentina
Category
Colombia
Argentina
Result
Areakm² · Higher wins ↑
1,138,910
2,780,400
Would lose
Populationpeople · Higher wins ↑ · Chosen
52,321,152
45,538,401
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
30,246
Would lose
Densityper km² · Higher wins ↑
45.9
16.4
Would win
Highest peakm · Higher wins ↑
5,730
6,962
Would lose
Coastlinekm · Higher wins ↑
3,208
4,989
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
31.4° S
Would win
3
Round 3Won15 countries · 4 lives left
Republic of the CongovsDenmark
Proximity to equator: 0.1° N vs 55.9° N from the equator · Closer wins ↓
Conquered Denmark.
Other category comparisons 4 other winning choices
All eight categories for Republic of the Congo against Denmark
Category
Republic of the Congo
Denmark
Result
Areakm² · Higher wins ↑
342,000
43,094
Would win
Populationpeople · Higher wins ↑
6,182,885
5,946,952
Would win
Wealth per personint’l $ · Higher wins ↑
6,856
77,425
Would lose
Densityper km² · Higher wins ↑
18.1
138.0
Would lose
Highest peakm · Higher wins ↑
1,020
171
Would win
Coastlinekm · Higher wins ↑
169
7,314
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.1° N
55.9° N
Would win
4
Round 4Won16 countries · 4 lives left
BangladeshvsTanzania
Population: 171,466,990 vs 66,617,606 people · Higher wins ↑
Conquered Tanzania.
Other category comparisons 2 other winning choices
All eight categories for Bangladesh against Tanzania
Category
Bangladesh
Tanzania
Result
Areakm² · Higher wins ↑
148,460
947,300
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
66,617,606
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
4,022
Would win
Densityper km² · Higher wins ↑
1,155.0
70.3
Would win
Highest peakm · Higher wins ↑
1,060
5,895
Would lose
Coastlinekm · Higher wins ↑
580
1,424
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
5.5° S
Would lose
5
Round 5Won17 countries · 4 lives left
AngolavsBenin
Area: 1,246,700 vs 112,622 km² · Higher wins ↑
Conquered Benin.
Other category comparisons 4 other winning choices
All eight categories for Angola against Benin
Category
Angola
Benin
Result
Areakm² · Higher wins ↑ · Chosen
1,246,700
112,622
Would win
Populationpeople · Higher wins ↑
36,749,906
14,111,034
Would win
Wealth per personint’l $ · Higher wins ↑
9,550
4,133
Would win
Densityper km² · Higher wins ↑
29.5
125.3
Would lose
Highest peakm · Higher wins ↑
2,620
675
Would win
Coastlinekm · Higher wins ↑
1,600
121
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
13.2° S
10.4° N
Would lose
6
Round 6Won18 countries · 4 lives left
KazakhstanvsChile
Area: 2,724,900 vs 756,102 km² · Higher wins ↑
Conquered Chile.
Other category comparisons 3 other winning choices
All eight categories for Kazakhstan against Chile
Category
Kazakhstan
Chile
Result
Areakm² · Higher wins ↑ · Chosen
2,724,900
756,102
Would win
Populationpeople · Higher wins ↑
20,330,104
19,658,835
Would win
Wealth per personint’l $ · Higher wins ↑
38,547
33,174
Would win
Densityper km² · Higher wins ↑
7.5
26.0
Would lose
Highest peakm · Higher wins ↑
7,010
6,893
Would win
Coastlinekm · Higher wins ↑
0
6,435
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
48.5° N
23.4° S
Would lose
7
Round 7Tied18 countries · 4 lives left
AzerbaijanvsVenezuela
Flag colours: 4 vs 4 colours · Higher wins ↑
Venezuela became contested.
Other category comparisons 1 other winning choice
All eight categories for Azerbaijan against Venezuela
Category
Azerbaijan
Venezuela
Result
Areakm² · Higher wins ↑
86,600
912,050
Would lose
Populationpeople · Higher wins ↑
10,153,958
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
23,671
Unavailable
Unavailable
Densityper km² · Higher wins ↑
117.3
31.0
Would win
Highest peakm · Higher wins ↑
4,466
4,978
Would lose
Coastlinekm · Higher wins ↑
0
2,800
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
7.2° N
Would lose
8
Round 8Won20 countries · 4 lives left
LiberiavsSenegal
Proximity to equator: 7.0° N vs 15.2° N from the equator · Closer wins ↓
Conquered Senegal, Venezuela.
Other category comparisons 2 other winning choices
All eight categories for Liberia against Senegal
Category
Liberia
Senegal
Result
Areakm² · Higher wins ↑
111,369
196,722
Would lose
Populationpeople · Higher wins ↑
5,493,031
18,077,573
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
4,782
Would lose
Densityper km² · Higher wins ↑
49.3
91.9
Would lose
Highest peakm · Higher wins ↑
1,447
648
Would win
Coastlinekm · Higher wins ↑
579
531
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
15.2° N
Would win
9
Round 9Won21 countries · 4 lives left
DjiboutivsOman
Proximity to equator: 11.4° N vs 22.1° N from the equator · Closer wins ↓
Conquered Oman.
Other category comparisons 2 other winning choices
All eight categories for Djibouti against Oman
Category
Djibouti
Oman
Result
Areakm² · Higher wins ↑
23,200
309,500
Would lose
Populationpeople · Higher wins ↑
1,152,944
5,049,269
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
41,980
Would lose
Densityper km² · Higher wins ↑
49.7
16.3
Would win
Highest peakm · Higher wins ↑
2,021
3,004
Would lose
Coastlinekm · Higher wins ↑
314
2,092
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
11.4° N
22.1° N
Would win
10
Round 10Won22 countries · 4 lives left
NigeriavsCuba
Population: 227,882,945 vs 11,019,931 people · Higher wins ↑
Conquered Cuba.
Other category comparisons 4 other winning choices
All eight categories for Nigeria against Cuba
Category
Nigeria
Cuba
Result
Areakm² · Higher wins ↑
923,768
110,860
Would win
Populationpeople · Higher wins ↑ · Chosen
227,882,945
11,019,931
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
8,712
Unavailable
Unavailable
Densityper km² · Higher wins ↑
246.7
99.4
Would win
Highest peakm · Higher wins ↑
2,419
1,974
Would win
Coastlinekm · Higher wins ↑
853
3,735
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
20.6° N
Would win
11
Round 11Won23 countries · 4 lives left
PeruvsRussia
Highest peak: 6,746 vs 5,642 m · Higher wins ↑
Conquered Russia.
Other category comparisons 2 other winning choices
All eight categories for Peru against Russia
Category
Peru
Russia
Result
Areakm² · Higher wins ↑
1,285,216
17,098,242
Would lose
Populationpeople · Higher wins ↑
33,845,617
143,826,130
Would lose
Wealth per personint’l $ · Higher wins ↑
17,042
44,299
Would lose
Densityper km² · Higher wins ↑
26.3
8.4
Would win
Highest peakm · Higher wins ↑ · Chosen
6,746
5,642
Would win
Coastlinekm · Higher wins ↑
2,414
37,653
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
63.6° N
Would win
12
Round 12Won24 countries · 4 lives left
BrazilvsTrinidad and Tobago
Population: 211,140,729 vs 1,367,510 people · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 4 other winning choices
All eight categories for Brazil against Trinidad and Tobago
Category
Brazil
Trinidad and Tobago
Result
Areakm² · Higher wins ↑
8,515,770
5,128
Would win
Populationpeople · Higher wins ↑ · Chosen
211,140,729
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
34,652
Would lose
Densityper km² · Higher wins ↑
24.8
266.7
Would lose
Highest peakm · Higher wins ↑
2,994
940
Would win
Coastlinekm · Higher wins ↑
7,491
362
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
10.3° N
Would lose
13
Round 13Won25 countries · 4 lives left
BruneivsZimbabwe
Wealth per person: 85,103 vs 5,796 int’l $ · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 3 other winning choices
All eight categories for Brunei against Zimbabwe
Category
Brunei
Zimbabwe
Result
Areakm² · Higher wins ↑
5,765
390,757
Would lose
Populationpeople · Higher wins ↑
458,949
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
85,103
5,796
Would win
Densityper km² · Higher wins ↑
79.6
41.8
Would win
Highest peakm · Higher wins ↑
1,850
2,592
Would lose
Coastlinekm · Higher wins ↑
161
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
19.0° S
Would win
14
Round 14Won26 countries · 4 lives left
IranvsNepal
Population: 90,608,707 vs 29,694,614 people · Higher wins ↑
Conquered Nepal.
Other category comparisons 3 other winning choices
All eight categories for Iran against Nepal
Category
Iran
Nepal
Result
Areakm² · Higher wins ↑
1,648,195
147,181
Would win
Populationpeople · Higher wins ↑ · Chosen
90,608,707
29,694,614
Would win
Wealth per personint’l $ · Higher wins ↑
18,933
5,400
Would win
Densityper km² · Higher wins ↑
55.0
201.8
Would lose
Highest peakm · Higher wins ↑
5,625
8,849
Would lose
Coastlinekm · Higher wins ↑
2,440
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
29.0° N
Would lose
15
Round 15Won27 countries · 4 lives left
ColombiavsFinland
Population: 52,321,152 vs 5,583,911 people · Higher wins ↑
Conquered Finland.
Other category comparisons 6 other winning choices
All eight categories for Colombia against Finland
Category
Colombia
Finland
Result
Areakm² · Higher wins ↑
1,138,910
338,145
Would win
Populationpeople · Higher wins ↑ · Chosen
52,321,152
5,583,911
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
63,467
Would lose
Densityper km² · Higher wins ↑
45.9
16.5
Would win
Highest peakm · Higher wins ↑
5,730
1,328
Would win
Coastlinekm · Higher wins ↑
3,208
1,250
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
63.3° N
Would win
16
Round 16Won28 countries · 4 lives left
ArgentinavsPapua New Guinea
Population: 45,538,401 vs 10,389,635 people · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 3 other winning choices
All eight categories for Argentina against Papua New Guinea
Category
Argentina
Papua New Guinea
Result
Areakm² · Higher wins ↑
2,780,400
462,840
Would win
Populationpeople · Higher wins ↑ · Chosen
45,538,401
10,389,635
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
4,672
Would win
Densityper km² · Higher wins ↑
16.4
22.4
Would lose
Highest peakm · Higher wins ↑
6,962
4,509
Would win
Coastlinekm · Higher wins ↑
4,989
5,152
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
5.5° S
Would lose
17
Round 17Won29 countries · 4 lives left
Republic of the CongovsGhana
Area: 342,000 vs 238,533 km² · Higher wins ↑
Conquered Ghana.
Other category comparisons 2 other winning choices
All eight categories for Republic of the Congo against Ghana
Category
Republic of the Congo
Ghana
Result
Areakm² · Higher wins ↑ · Chosen
342,000
238,533
Would win
Populationpeople · Higher wins ↑
6,182,885
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑
6,856
7,563
Would lose
Densityper km² · Higher wins ↑
18.1
141.6
Would lose
Highest peakm · Higher wins ↑
1,020
885
Would win
Coastlinekm · Higher wins ↑
169
539
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
0.1° N
7.0° N
Would win
18
Round 18Won30 countries · 4 lives left
DenmarkvsThailand
Wealth per person: 77,425 vs 23,598 int’l $ · Higher wins ↑
Conquered Thailand.
Other category comparisons 1 other winning choice
All eight categories for Denmark against Thailand
Category
Denmark
Thailand
Result
Areakm² · Higher wins ↑
43,094
513,120
Would lose
Populationpeople · Higher wins ↑
5,946,952
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
77,425
23,598
Would win
Densityper km² · Higher wins ↑
138.0
139.7
Would lose
Highest peakm · Higher wins ↑
171
2,565
Would lose
Coastlinekm · Higher wins ↑
7,314
3,219
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
15.5° N
Would lose
19
Round 19Won31 countries · 4 lives left
BangladeshvsJapan
Population: 171,466,990 vs 124,516,650 people · Higher wins ↑
Conquered Japan.
Other category comparisons 2 other winning choices
All eight categories for Bangladesh against Japan
Category
Bangladesh
Japan
Result
Areakm² · Higher wins ↑
148,460
377,915
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
124,516,650
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
52,726
Would lose
Densityper km² · Higher wins ↑
1,155.0
329.5
Would win
Highest peakm · Higher wins ↑
1,060
3,776
Would lose
Coastlinekm · Higher wins ↑
580
29,751
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
36.7° N
Would win
20
Round 20Won32 countries · 4 lives left
TanzaniavsChad
Population: 66,617,606 vs 19,319,064 people · Higher wins ↑
Conquered Chad.
Other category comparisons 6 other winning choices
All eight categories for Tanzania against Chad
Category
Tanzania
Chad
Result
Areakm² · Higher wins ↑
947,300
1,284,000
Would lose
Populationpeople · Higher wins ↑ · Chosen
66,617,606
19,319,064
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
2,703
Would win
Densityper km² · Higher wins ↑
70.3
15.0
Would win
Highest peakm · Higher wins ↑
5,895
3,445
Would win
Coastlinekm · Higher wins ↑
1,424
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Bruneivs
Iran
Colombia
Argentina
Republic of the Congo
Denmark
Bangladesh
Tanzania
Angola
Benin
Kazakhstan
Chile
Azerbaijan
Venezuela
Liberia
Senegal
Djibouti
Oman
Nigeria
Cuba
Peru
Russia
Brazil
Trinidad and Tobago
Zimbabwe
Nepal
Finland
Papua New Guinea
Ghana
Thailand
Japan
Chad