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Untimed expedition · Data edition 01051846d672
33Wins
2Losses
0Ties
Explore the final empire · 43 countries
No countries match your search.
The path through the world
One choice at a time.
35 rounds
Where it began · 12 countries
North Macedonia · Malawi · Vietnam · Burkina Faso · Bangladesh · Colombia · Belarus · United Arab Emirates · Benin · Azerbaijan · Turkmenistan · Portugal
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
21
Round 21Won33 countries · 4 lives left
BangladeshvsLuxembourg
Population: 171,466,990 vs 666,430 people · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 5 other winning choices
All eight categories for Bangladesh against Luxembourg
Category
Bangladesh
Luxembourg
Result
Areakm² · Higher wins ↑
148,460
2,586
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
152,596
Would lose
Densityper km² · Higher wins ↑
1,155.0
257.7
Would win
Highest peakm · Higher wins ↑
1,060
559
Would win
Coastlinekm · Higher wins ↑
580
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
49.7° N
Would win
22
Round 22Won34 countries · 4 lives left
SwedenvsMali
Wealth per person: 68,458 vs 3,178 int’l $ · Higher wins ↑
Conquered Mali.
Other category comparisons 3 other winning choices
All eight categories for Sweden against Mali
Category
Sweden
Mali
Result
Areakm² · Higher wins ↑
450,295
1,240,192
Would lose
Populationpeople · Higher wins ↑
10,536,632
23,769,127
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
68,458
3,178
Would win
Densityper km² · Higher wins ↑
23.4
19.2
Would win
Highest peakm · Higher wins ↑
2,100
1,155
Would win
Coastlinekm · Higher wins ↑
3,218
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
65.8° N
18.6° N
Would lose
23
Round 23Won35 countries · 4 lives left
ColombiavsAustria
Area: 1,138,910 vs 83,871 km² · Higher wins ↑
Conquered Austria.
Other category comparisons 5 other winning choices
All eight categories for Colombia against Austria
Category
Colombia
Austria
Result
Areakm² · Higher wins ↑ · Chosen
1,138,910
83,871
Would win
Populationpeople · Higher wins ↑
52,321,152
9,131,761
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
74,261
Would lose
Densityper km² · Higher wins ↑
45.9
108.9
Would lose
Highest peakm · Higher wins ↑
5,730
3,798
Would win
Coastlinekm · Higher wins ↑
3,208
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
47.7° N
Would win
24
Round 24Won36 countries · 4 lives left
BurundivsChile
Density: 491.9 vs 26.0 per km² · Higher wins ↑
Conquered Chile.
Other category comparisons 1 other winning choice
All eight categories for Burundi against Chile
Category
Burundi
Chile
Result
Areakm² · Higher wins ↑
27,830
756,102
Would lose
Populationpeople · Higher wins ↑
13,689,450
19,658,835
Would lose
Wealth per personint’l $ · Higher wins ↑
1,147
33,174
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
26.0
Would win
Highest peakm · Higher wins ↑
2,685
6,893
Would lose
Coastlinekm · Higher wins ↑
0
6,435
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
23.4° S
Would win
25
Round 25Won37 countries · 4 lives left
BelarusvsBelgium
Area: 207,600 vs 30,528 km² · Higher wins ↑
Conquered Belgium.
Other category comparisons 0 other winning choices
All eight categories for Belarus against Belgium
Category
Belarus
Belgium
Result
Areakm² · Higher wins ↑ · Chosen
207,600
30,528
Would win
Populationpeople · Higher wins ↑
9,178,298
11,779,946
Would lose
Wealth per personint’l $ · Higher wins ↑
30,860
72,630
Would lose
Densityper km² · Higher wins ↑
44.2
385.9
Would lose
Highest peakm · Higher wins ↑
346
694
Would lose
Coastlinekm · Higher wins ↑
0
66.5
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
50.8° N
Would lose
26
Round 26Won38 countries · 4 lives left
MaltavsMauritania
Wealth per person: 67,101 vs 6,972 int’l $ · Higher wins ↑
Conquered Mauritania.
Other category comparisons 1 other winning choice
All eight categories for Malta against Mauritania
Category
Malta
Mauritania
Result
Areakm² · Higher wins ↑
316
1,030,700
Would lose
Populationpeople · Higher wins ↑
552,747
5,022,441
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
67,101
6,972
Would win
Densityper km² · Higher wins ↑
1,749.2
4.9
Would win
Highest peakm · Higher wins ↑
253
915
Would lose
Coastlinekm · Higher wins ↑
196.8
754
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
19.4° N
Would lose
27
Round 27Won39 countries · 4 lives left
United Arab EmiratesvsChina
Wealth per person: 78,020 vs 25,200 int’l $ · Higher wins ↑
Conquered China.
Other category comparisons 2 other winning choices
All eight categories for United Arab Emirates against China
Category
United Arab Emirates
China
Result
Areakm² · Higher wins ↑
83,600
9,596,960
Would lose
Populationpeople · Higher wins ↑
10,483,751
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
78,020
25,200
Would win
Densityper km² · Higher wins ↑
125.4
147.0
Would lose
Highest peakm · Higher wins ↑
1,905
8,849
Would lose
Coastlinekm · Higher wins ↑
1,318
14,500
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
32.5° N
Would win
28
Round 28Won40 countries · 4 lives left
MoroccovsBrazil
Density: 84.5 vs 24.8 per km² · Higher wins ↑
Conquered Brazil.
Other category comparisons 1 other winning choice
All eight categories for Morocco against Brazil
Category
Morocco
Brazil
Result
Areakm² · Higher wins ↑
446,550
8,515,770
Would lose
Populationpeople · Higher wins ↑
37,712,505
211,140,729
Would lose
Wealth per personint’l $ · Higher wins ↑
9,903
21,193
Would lose
Densityper km² · Higher wins ↑ · Chosen
84.5
24.8
Would win
Highest peakm · Higher wins ↑
4,165
2,994
Would win
Coastlinekm · Higher wins ↑
1,835
7,491
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
12.6° S
Would lose
29
Round 29Won41 countries · 4 lives left
BeninvsSouth Africa
Proximity to equator: 10.4° N vs 30.2° S from the equator · Closer wins ↓
Conquered South Africa.
Other category comparisons 1 other winning choice
All eight categories for Benin against South Africa
Category
Benin
South Africa
Result
Areakm² · Higher wins ↑
112,622
1,219,090
Would lose
Populationpeople · Higher wins ↑
14,111,034
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
4,133
15,212
Would lose
Densityper km² · Higher wins ↑
125.3
51.9
Would win
Highest peakm · Higher wins ↑
675
3,450
Would lose
Coastlinekm · Higher wins ↑
121
2,798
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.4° N
30.2° S
Would win
30
Round 30Won42 countries · 4 lives left
GuyanavsSlovenia
Area: 214,969 vs 20,273 km² · Higher wins ↑
Conquered Slovenia.
Other category comparisons 3 other winning choices
All eight categories for Guyana against Slovenia
Category
Guyana
Slovenia
Result
Areakm² · Higher wins ↑ · Chosen
214,969
20,273
Would win
Populationpeople · Higher wins ↑
826,353
2,120,461
Would lose
Wealth per personint’l $ · Higher wins ↑
54,774
56,151
Would lose
Densityper km² · Higher wins ↑
3.8
104.6
Would lose
Highest peakm · Higher wins ↑
2,775
2,864
Would lose
Coastlinekm · Higher wins ↑
459
46.6
Would win
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.7° N
46.0° N
Would win
31
Round 31Won43 countries · 4 lives left
AzerbaijanvsTimor-Leste
Area: 86,600 vs 14,874 km² · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 4 other winning choices
All eight categories for Azerbaijan against Timor-Leste
Category
Azerbaijan
Timor-Leste
Result
Areakm² · Higher wins ↑ · Chosen
86,600
14,874
Would win
Populationpeople · Higher wins ↑
10,153,958
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑
23,671
4,811
Would win
Densityper km² · Higher wins ↑
117.3
93.1
Would win
Highest peakm · Higher wins ↑
4,466
2,963
Would win
Coastlinekm · Higher wins ↑
0
706
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
8.9° S
Would lose
32
Round 32Lost42 countries · 3 lives left
LaosvsYemen
Proximity to equator: 19.6° N vs 15.3° N from the equator · Closer wins ↓
Returned to the world: Laos.
Other category comparisons 0 other winning choices
All eight categories for Laos against Yemen
Category
Laos
Yemen
Result
Areakm² · Higher wins ↑
236,800
527,968
Would lose
Populationpeople · Higher wins ↑
7,664,993
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
9,299
Unavailable
Unavailable
Densityper km² · Higher wins ↑
32.4
74.6
Would lose
Highest peakm · Higher wins ↑
2,817
3,666
Would lose
Coastlinekm · Higher wins ↑
0
1,906
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.6° N
15.3° N
Would lose
33
Round 33Won43 countries · 3 lives left
TurkmenistanvsLebanon
Area: 488,100 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 4 other winning choices
All eight categories for Turkmenistan against Lebanon
Category
Turkmenistan
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
488,100
10,400
Would win
Populationpeople · Higher wins ↑
7,364,438
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
19,645
12,585
Would win
Densityper km² · Higher wins ↑
15.1
555.1
Would lose
Highest peakm · Higher wins ↑
3,139
3,088
Would win
Coastlinekm · Higher wins ↑
0
225
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
34.2° N
Would lose
34
Round 34Won44 countries · 3 lives left
IndiavsGuinea
Population: 1,438,069,596 vs 14,405,468 people · Higher wins ↑
Conquered Guinea.
Other category comparisons 6 other winning choices
All eight categories for India against Guinea
Category
India
Guinea
Result
Areakm² · Higher wins ↑
3,287,263
245,857
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
14,405,468
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
4,337
Would win
Densityper km² · Higher wins ↑
437.5
58.6
Would win
Highest peakm · Higher wins ↑
8,586
1,752
Would win
Coastlinekm · Higher wins ↑
7,000
320
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
10.7° N
Would lose
35
Round 35Lost43 countries · 2 lives left
PortugalvsSouth Korea
Wealth per person: 49,800 vs 57,430 int’l $ · Higher wins ↑
Returned to the world: Portugal.
Other category comparisons 2 other winning choices
All eight categories for Portugal against South Korea
Category
Portugal
South Korea
Result
Areakm² · Higher wins ↑
92,090
99,720
Would lose
Populationpeople · Higher wins ↑
10,578,174
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
49,800
57,430
Would lose
Densityper km² · Higher wins ↑
114.9
518.6
Would lose
Highest peakm · Higher wins ↑
2,351
1,950
Would win
Coastlinekm · Higher wins ↑
1,793
2,413
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓