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Untimed expedition · Data edition 01051846d672
41Wins
2Losses
0Ties
Explore the final empire · 51 countries
No countries match your search.
The path through the world
One choice at a time.
43 rounds
Where it began · 12 countries
Azerbaijan · Peru · Poland · Colombia · Luxembourg · Malaysia · Equatorial Guinea · Republic of the Congo · Denmark · Andorra · Jamaica · Benin
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
AzerbaijanvsBrazil
Highest peak: 4,466 vs 2,994 m · Higher wins ↑
Conquered Brazil.
Other category comparisons 2 other winning choices
All eight categories for Azerbaijan against Brazil
Category
Azerbaijan
Brazil
Result
Areakm² · Higher wins ↑
86,600
8,515,770
Would lose
Populationpeople · Higher wins ↑
10,153,958
211,140,729
Would lose
Wealth per personint’l $ · Higher wins ↑
23,671
21,193
Would win
Densityper km² · Higher wins ↑
117.3
24.8
Would win
Highest peakm · Higher wins ↑ · Chosen
4,466
2,994
Would win
Coastlinekm · Higher wins ↑
0
7,491
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
12.6° S
Would lose
2
Round 2Won14 countries · 4 lives left
PeruvsTrinidad and Tobago
Area: 1,285,216 vs 5,128 km² · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 3 other winning choices
All eight categories for Peru against Trinidad and Tobago
Category
Peru
Trinidad and Tobago
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
5,128
Would win
Populationpeople · Higher wins ↑
33,845,617
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
34,652
Would lose
Densityper km² · Higher wins ↑
26.3
266.7
Would lose
Highest peakm · Higher wins ↑
6,746
940
Would win
Coastlinekm · Higher wins ↑
2,414
362
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
10.3° N
Would lose
3
Round 3Won15 countries · 4 lives left
PolandvsEgypt
Wealth per person: 48,473 vs 18,540 int’l $ · Higher wins ↑
Conquered Egypt.
Other category comparisons 1 other winning choice
All eight categories for Poland against Egypt
Category
Poland
Egypt
Result
Areakm² · Higher wins ↑
312,685
1,001,450
Would lose
Populationpeople · Higher wins ↑
36,687,353
114,535,772
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,473
18,540
Would win
Densityper km² · Higher wins ↑
117.3
114.4
Would win
Highest peakm · Higher wins ↑
2,499
2,629
Would lose
Coastlinekm · Higher wins ↑
440
2,450
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
26.3° N
Would lose
4
Round 4Won16 countries · 4 lives left
ColombiavsRwanda
Population: 52,321,152 vs 13,954,471 people · Higher wins ↑
Conquered Rwanda.
Other category comparisons 4 other winning choices
All eight categories for Colombia against Rwanda
Category
Colombia
Rwanda
Result
Areakm² · Higher wins ↑
1,138,910
26,338
Would win
Populationpeople · Higher wins ↑ · Chosen
52,321,152
13,954,471
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
3,519
Would win
Densityper km² · Higher wins ↑
45.9
529.8
Would lose
Highest peakm · Higher wins ↑
5,730
4,519
Would win
Coastlinekm · Higher wins ↑
3,208
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
1.8° S
Would lose
5
Round 5Won17 countries · 4 lives left
LuxembourgvsAustralia
Wealth per person: 152,596 vs 72,273 int’l $ · Higher wins ↑
Conquered Australia.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against Australia
Category
Luxembourg
Australia
Result
Areakm² · Higher wins ↑
2,586
7,741,220
Would lose
Populationpeople · Higher wins ↑
666,430
26,659,922
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
72,273
Would win
Densityper km² · Higher wins ↑
257.7
3.4
Would win
Highest peakm · Higher wins ↑
559
2,228
Would lose
Coastlinekm · Higher wins ↑
0
25,760
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
23.1° S
Would lose
6
Round 6Won18 countries · 4 lives left
MalaysiavsBotswana
Coastline: 4,675 vs 0 km · Higher wins ↑
Conquered Botswana.
Other category comparisons 6 other winning choices
All eight categories for Malaysia against Botswana
Category
Malaysia
Botswana
Result
Areakm² · Higher wins ↑
329,847
581,730
Would lose
Populationpeople · Higher wins ↑
35,126,298
2,480,244
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
21,029
Would win
Densityper km² · Higher wins ↑
106.5
4.3
Would win
Highest peakm · Higher wins ↑
4,095
1,495
Would win
Coastlinekm · Higher wins ↑ · Chosen
4,675
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
22.1° S
Would win
7
Round 7Won19 countries · 4 lives left
Equatorial GuineavsAlbania
Proximity to equator: 1.6° N vs 40.7° N from the equator · Closer wins ↓
Conquered Albania.
Other category comparisons 2 other winning choices
All eight categories for Equatorial Guinea against Albania
Category
Equatorial Guinea
Albania
Result
Areakm² · Higher wins ↑
28,051
28,748
Would lose
Populationpeople · Higher wins ↑
1,847,549
2,411,658
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
24,848
Would lose
Densityper km² · Higher wins ↑
65.9
83.9
Would lose
Highest peakm · Higher wins ↑
3,008
2,764
Would win
Coastlinekm · Higher wins ↑
296
362
Would lose
Flag colourscolours · Higher wins ↑
8
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
40.7° N
Would win
8
Round 8Won20 countries · 4 lives left
Republic of the CongovsLesotho
Area: 342,000 vs 30,355 km² · Higher wins ↑
Conquered Lesotho.
Other category comparisons 4 other winning choices
All eight categories for Republic of the Congo against Lesotho
Category
Republic of the Congo
Lesotho
Result
Areakm² · Higher wins ↑ · Chosen
342,000
30,355
Would win
Populationpeople · Higher wins ↑
6,182,885
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
6,856
2,880
Would win
Densityper km² · Higher wins ↑
18.1
76.1
Would lose
Highest peakm · Higher wins ↑
1,020
3,482
Would lose
Coastlinekm · Higher wins ↑
169
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
0.1° N
29.4° S
Would win
9
Round 9Won21 countries · 4 lives left
DenmarkvsSwitzerland
Coastline: 7,314 vs 0 km · Higher wins ↑
Conquered Switzerland.
Other category comparisons 1 other winning choice
All eight categories for Denmark against Switzerland
Category
Denmark
Switzerland
Result
Areakm² · Higher wins ↑
43,094
41,277
Would win
Populationpeople · Higher wins ↑
5,946,952
8,888,822
Would lose
Wealth per personint’l $ · Higher wins ↑
77,425
93,940
Would lose
Densityper km² · Higher wins ↑
138.0
215.3
Would lose
Highest peakm · Higher wins ↑
171
4,634
Would lose
Coastlinekm · Higher wins ↑ · Chosen
7,314
0
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
46.7° N
Would lose
10
Round 10Won22 countries · 4 lives left
AndorravsComoros
Wealth per person: 71,790 vs 3,897 int’l $ · Higher wins ↑
Conquered Comoros.
Other category comparisons 2 other winning choices
All eight categories for Andorra against Comoros
Category
Andorra
Comoros
Result
Areakm² · Higher wins ↑
468
2,235
Would lose
Populationpeople · Higher wins ↑
80,856
850,387
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
71,790
3,897
Would win
Densityper km² · Higher wins ↑
172.8
380.5
Would lose
Highest peakm · Higher wins ↑
2,946
2,360
Would win
Coastlinekm · Higher wins ↑
0
340
Would lose
Flag colourscolours · Higher wins ↑
7
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
11.7° S
Would lose
11
Round 11Won23 countries · 4 lives left
JamaicavsIsrael
Coastline: 1,022 vs 273 km · Higher wins ↑
Conquered Israel.
Other category comparisons 3 other winning choices
All eight categories for Jamaica against Israel
Category
Jamaica
Israel
Result
Areakm² · Higher wins ↑
10,991
21,937
Would lose
Populationpeople · Higher wins ↑
2,839,786
9,849,000
Would lose
Wealth per personint’l $ · Higher wins ↑
12,661
55,301
Would lose
Densityper km² · Higher wins ↑
258.4
449.0
Would lose
Highest peakm · Higher wins ↑
2,256
2,224
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,022
273
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
18.1° N
30.9° N
Would win
12
Round 12Won24 countries · 4 lives left
BeninvsSouth Sudan
Density: 125.3 vs 17.8 per km² · Higher wins ↑
Conquered South Sudan.
Other category comparisons 2 other winning choices
All eight categories for Benin against South Sudan
Category
Benin
South Sudan
Result
Areakm² · Higher wins ↑
112,622
644,329
Would lose
Populationpeople · Higher wins ↑
14,111,034
11,483,374
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
4,133
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
125.3
17.8
Would win
Highest peakm · Higher wins ↑
675
3,187
Would lose
Coastlinekm · Higher wins ↑
121
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.4° N
7.1° N
Would lose
13
Round 13Won25 countries · 4 lives left
AzerbaijanvsSouth Korea
Highest peak: 4,466 vs 1,950 m · Higher wins ↑
Conquered South Korea.
Other category comparisons 0 other winning choices
All eight categories for Azerbaijan against South Korea
Category
Azerbaijan
South Korea
Result
Areakm² · Higher wins ↑
86,600
99,720
Would lose
Populationpeople · Higher wins ↑
10,153,958
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑
23,671
57,430
Would lose
Densityper km² · Higher wins ↑
117.3
518.6
Would lose
Highest peakm · Higher wins ↑ · Chosen
4,466
1,950
Would win
Coastlinekm · Higher wins ↑
0
2,413
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
36.3° N
Would lose
14
Round 14Won26 countries · 4 lives left
BrazilvsUnited States
Proximity to equator: 12.6° S vs 39.1° N from the equator · Closer wins ↓
Conquered United States.
Other category comparisons 1 other winning choice
All eight categories for Brazil against United States
Category
Brazil
United States
Result
Areakm² · Higher wins ↑
8,515,770
9,833,517
Would lose
Populationpeople · Higher wins ↑
211,140,729
336,755,052
Would lose
Wealth per personint’l $ · Higher wins ↑
21,193
82,587
Would lose
Densityper km² · Higher wins ↑
24.8
34.2
Would lose
Highest peakm · Higher wins ↑
2,994
6,190
Would lose
Coastlinekm · Higher wins ↑
7,491
19,924
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.6° S
39.1° N
Would win
15
Round 15Won27 countries · 4 lives left
PeruvsSlovakia
Area: 1,285,216 vs 49,035 km² · Higher wins ↑
Conquered Slovakia.
Other category comparisons 4 other winning choices
All eight categories for Peru against Slovakia
Category
Peru
Slovakia
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
49,035
Would win
Populationpeople · Higher wins ↑
33,845,617
5,426,740
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
45,865
Would lose
Densityper km² · Higher wins ↑
26.3
110.7
Would lose
Highest peakm · Higher wins ↑
6,746
2,655
Would win
Coastlinekm · Higher wins ↑
2,414
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
48.7° N
Would win
16
Round 16Won28 countries · 4 lives left
Trinidad and TobagovsSierra Leone
Density: 266.7 vs 117.9 per km² · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 1 other winning choice
All eight categories for Trinidad and Tobago against Sierra Leone
Category
Trinidad and Tobago
Sierra Leone
Result
Areakm² · Higher wins ↑
5,128
71,740
Would lose
Populationpeople · Higher wins ↑
1,367,510
8,460,512
Would lose
Wealth per personint’l $ · Higher wins ↑
34,652
3,371
Would win
Densityper km² · Higher wins ↑ · Chosen
266.7
117.9
Would win
Highest peakm · Higher wins ↑
940
1,948
Would lose
Coastlinekm · Higher wins ↑
362
402
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
10.3° N
8.7° N
Would lose
17
Round 17Won29 countries · 4 lives left
PolandvsIran
Wealth per person: 48,473 vs 18,933 int’l $ · Higher wins ↑
Conquered Iran.
Other category comparisons 1 other winning choice
All eight categories for Poland against Iran
Category
Poland
Iran
Result
Areakm² · Higher wins ↑
312,685
1,648,195
Would lose
Populationpeople · Higher wins ↑
36,687,353
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,473
18,933
Would win
Densityper km² · Higher wins ↑
117.3
55.0
Would win
Highest peakm · Higher wins ↑
2,499
5,625
Would lose
Coastlinekm · Higher wins ↑
440
2,440
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
32.1° N
Would lose
18
Round 18Won30 countries · 4 lives left
EgyptvsMorocco
Population: 114,535,772 vs 37,712,505 people · Higher wins ↑
Conquered Morocco.
Other category comparisons 6 other winning choices
All eight categories for Egypt against Morocco
Category
Egypt
Morocco
Result
Areakm² · Higher wins ↑
1,001,450
446,550
Would win
Populationpeople · Higher wins ↑ · Chosen
114,535,772
37,712,505
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
9,903
Would win
Densityper km² · Higher wins ↑
114.4
84.5
Would win
Highest peakm · Higher wins ↑
2,629
4,165
Would lose
Coastlinekm · Higher wins ↑
2,450
1,835
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
31.9° N
Would win
19
Round 19Won31 countries · 4 lives left
ColombiavsBhutan
Population: 52,321,152 vs 786,385 people · Higher wins ↑
Conquered Bhutan.
Other category comparisons 5 other winning choices
All eight categories for Colombia against Bhutan
Category
Colombia
Bhutan
Result
Areakm² · Higher wins ↑
1,138,910
38,394
Would win
Populationpeople · Higher wins ↑ · Chosen
52,321,152
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
16,229
Would win
Densityper km² · Higher wins ↑
45.9
20.5
Would win
Highest peakm · Higher wins ↑
5,730
7,570
Would lose
Coastlinekm · Higher wins ↑
3,208
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
27.5° N
Would win
20
Round 20Won32 countries · 4 lives left
RwandavsTanzania
Density: 529.8 vs 70.3 per km² · Higher wins ↑
Conquered Tanzania.
Other category comparisons 1 other winning choice
All eight categories for Rwanda against Tanzania
Category
Rwanda
Tanzania
Result
Areakm² · Higher wins ↑
26,338
947,300
Would lose
Populationpeople · Higher wins ↑
13,954,471
66,617,606
Would lose
Wealth per personint’l $ · Higher wins ↑
3,519
4,022
Would lose
Densityper km² · Higher wins ↑ · Chosen
529.8
70.3
Would win
Highest peakm · Higher wins ↑
4,519
5,895
Would lose
Coastlinekm · Higher wins ↑
0
1,424
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Azerbaijanvs
Brazil
Peru
Trinidad and Tobago
Poland
Egypt
Colombia
Rwanda
Luxembourg
Australia
Malaysia
Botswana
Equatorial Guinea
Albania
Republic of the Congo
Lesotho
Denmark
Switzerland
Andorra
Comoros
Jamaica
Israel
Benin
South Sudan
South Korea
United States
Slovakia
Sierra Leone
Iran
Morocco
Bhutan
Tanzania