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Untimed expedition · Data edition 01051846d672
25Wins
1Losses
0Ties
Explore the final empire · 36 countries
No countries match your search.
The path through the world
One choice at a time.
26 rounds
Where it began · 12 countries
Bhutan · Mozambique · Cuba · Cyprus · Equatorial Guinea · South Korea · Costa Rica · Central African Republic · Laos · Syria · Eswatini · Guinea
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
BhutanvsKenya
Highest peak: 7,570 vs 5,199 m · Higher wins ↑
Conquered Kenya.
Other category comparisons 1 other winning choice
All eight categories for Bhutan against Kenya
Category
Bhutan
Kenya
Result
Areakm² · Higher wins ↑
38,394
580,367
Would lose
Populationpeople · Higher wins ↑
786,385
55,339,003
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
6,322
Would win
Densityper km² · Higher wins ↑
20.5
95.4
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
5,199
Would win
Coastlinekm · Higher wins ↑
0
536
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
0.4° N
Would lose
2
Round 2Won14 countries · 4 lives left
MozambiquevsBurundi
Area: 799,380 vs 27,830 km² · Higher wins ↑
Conquered Burundi.
Other category comparisons 4 other winning choices
All eight categories for Mozambique against Burundi
Category
Mozambique
Burundi
Result
Areakm² · Higher wins ↑ · Chosen
799,380
27,830
Would win
Populationpeople · Higher wins ↑
33,635,160
13,689,450
Would win
Wealth per personint’l $ · Higher wins ↑
1,680
1,147
Would win
Densityper km² · Higher wins ↑
42.1
491.9
Would lose
Highest peakm · Higher wins ↑
2,436
2,685
Would lose
Coastlinekm · Higher wins ↑
2,470
0
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.0° S
3.4° S
Would lose
3
Round 3Won15 countries · 4 lives left
CubavsPeru
Coastline: 3,735 vs 2,414 km · Higher wins ↑
Conquered Peru.
Other category comparisons 2 other winning choices
All eight categories for Cuba against Peru
Category
Cuba
Peru
Result
Areakm² · Higher wins ↑
110,860
1,285,216
Would lose
Populationpeople · Higher wins ↑
11,019,931
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
Unavailable
17,042
Unavailable
Densityper km² · Higher wins ↑
99.4
26.3
Would win
Highest peakm · Higher wins ↑
1,974
6,746
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,735
2,414
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
20.6° N
13.0° S
Would lose
4
Round 4Won16 countries · 4 lives left
CyprusvsZimbabwe
Density: 145.4 vs 41.8 per km² · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 2 other winning choices
All eight categories for Cyprus against Zimbabwe
Category
Cyprus
Zimbabwe
Result
Areakm² · Higher wins ↑
9,251
390,757
Would lose
Populationpeople · Higher wins ↑
1,344,976
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑
59,875
5,796
Would win
Densityper km² · Higher wins ↑ · Chosen
145.4
41.8
Would win
Highest peakm · Higher wins ↑
1,951
2,592
Would lose
Coastlinekm · Higher wins ↑
648
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
19.0° S
Would lose
5
Round 5Won17 countries · 4 lives left
Equatorial GuineavsIran
Proximity to equator: 1.6° N vs 32.1° N from the equator · Closer wins ↓
Conquered Iran.
Other category comparisons 2 other winning choices
All eight categories for Equatorial Guinea against Iran
Category
Equatorial Guinea
Iran
Result
Areakm² · Higher wins ↑
28,051
1,648,195
Would lose
Populationpeople · Higher wins ↑
1,847,549
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
18,933
Would lose
Densityper km² · Higher wins ↑
65.9
55.0
Would win
Highest peakm · Higher wins ↑
3,008
5,625
Would lose
Coastlinekm · Higher wins ↑
296
2,440
Would lose
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
32.1° N
Would win
6
Round 6Won18 countries · 4 lives left
South KoreavsHaiti
Population: 51,712,619 vs 11,637,398 people · Higher wins ↑
Conquered Haiti.
Other category comparisons 4 other winning choices
All eight categories for South Korea against Haiti
Category
South Korea
Haiti
Result
Areakm² · Higher wins ↑
99,720
27,750
Would win
Populationpeople · Higher wins ↑ · Chosen
51,712,619
11,637,398
Would win
Wealth per personint’l $ · Higher wins ↑
57,430
3,265
Would win
Densityper km² · Higher wins ↑
518.6
419.4
Would win
Highest peakm · Higher wins ↑
1,950
2,674
Would lose
Coastlinekm · Higher wins ↑
2,413
1,771
Would win
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
19.2° N
Would lose
7
Round 7Won19 countries · 4 lives left
Costa RicavsLithuania
Density: 99.9 vs 44.0 per km² · Higher wins ↑
Conquered Lithuania.
Other category comparisons 4 other winning choices
All eight categories for Costa Rica against Lithuania
Category
Costa Rica
Lithuania
Result
Areakm² · Higher wins ↑
51,100
65,300
Would lose
Populationpeople · Higher wins ↑
5,105,525
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
29,248
52,720
Would lose
Densityper km² · Higher wins ↑ · Chosen
99.9
44.0
Would win
Highest peakm · Higher wins ↑
3,819
294
Would win
Coastlinekm · Higher wins ↑
1,290
90
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
10.1° N
55.1° N
Would win
8
Round 8Won20 countries · 4 lives left
Central African RepublicvsNigeria
Flag colours: 5 vs 2 colours · Higher wins ↑
Conquered Nigeria.
Other category comparisons 1 other winning choice
All eight categories for Central African Republic against Nigeria
Category
Central African Republic
Nigeria
Result
Areakm² · Higher wins ↑
622,984
923,768
Would lose
Populationpeople · Higher wins ↑
5,152,421
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑
1,258
8,712
Would lose
Densityper km² · Higher wins ↑
8.3
246.7
Would lose
Highest peakm · Higher wins ↑
1,410
2,419
Would lose
Coastlinekm · Higher wins ↑
0
853
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
9.4° N
Would win
9
Round 9Won21 countries · 4 lives left
LaosvsSlovakia
Population: 7,664,993 vs 5,426,740 people · Higher wins ↑
Conquered Slovakia.
Other category comparisons 3 other winning choices
All eight categories for Laos against Slovakia
Category
Laos
Slovakia
Result
Areakm² · Higher wins ↑
236,800
49,035
Would win
Populationpeople · Higher wins ↑ · Chosen
7,664,993
5,426,740
Would win
Wealth per personint’l $ · Higher wins ↑
9,299
45,865
Would lose
Densityper km² · Higher wins ↑
32.4
110.7
Would lose
Highest peakm · Higher wins ↑
2,817
2,655
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
19.6° N
48.7° N
Would win
10
Round 10Won22 countries · 4 lives left
SyriavsBenin
Population: 23,594,623 vs 14,111,034 people · Higher wins ↑
Conquered Benin.
Other category comparisons 5 other winning choices
All eight categories for Syria against Benin
Category
Syria
Benin
Result
Areakm² · Higher wins ↑
187,437
112,622
Would win
Populationpeople · Higher wins ↑ · Chosen
23,594,623
14,111,034
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
4,133
Unavailable
Densityper km² · Higher wins ↑
125.9
125.3
Would win
Highest peakm · Higher wins ↑
2,814
675
Would win
Coastlinekm · Higher wins ↑
193
121
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
35.0° N
10.4° N
Would lose
11
Round 11Won23 countries · 4 lives left
EswatinivsSomalia
Density: 70.9 vs 28.8 per km² · Higher wins ↑
Conquered Somalia.
Other category comparisons 2 other winning choices
All eight categories for Eswatini against Somalia
Category
Eswatini
Somalia
Result
Areakm² · Higher wins ↑
17,364
637,657
Would lose
Populationpeople · Higher wins ↑
1,230,506
18,358,615
Would lose
Wealth per personint’l $ · Higher wins ↑
11,309
1,557
Would win
Densityper km² · Higher wins ↑ · Chosen
70.9
28.8
Would win
Highest peakm · Higher wins ↑
1,862
2,460
Would lose
Coastlinekm · Higher wins ↑
0
3,025
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.6° S
2.6° N
Would lose
12
Round 12Won24 countries · 4 lives left
GuineavsOman
Proximity to equator: 10.7° N vs 22.1° N from the equator · Closer wins ↓
Conquered Oman.
Other category comparisons 2 other winning choices
All eight categories for Guinea against Oman
Category
Guinea
Oman
Result
Areakm² · Higher wins ↑
245,857
309,500
Would lose
Populationpeople · Higher wins ↑
14,405,468
5,049,269
Would win
Wealth per personint’l $ · Higher wins ↑
4,337
41,980
Would lose
Densityper km² · Higher wins ↑
58.6
16.3
Would win
Highest peakm · Higher wins ↑
1,752
3,004
Would lose
Coastlinekm · Higher wins ↑
320
2,092
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.7° N
22.1° N
Would win
13
Round 13Won25 countries · 4 lives left
BhutanvsLuxembourg
Highest peak: 7,570 vs 559 m · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 4 other winning choices
All eight categories for Bhutan against Luxembourg
Category
Bhutan
Luxembourg
Result
Areakm² · Higher wins ↑
38,394
2,586
Would win
Populationpeople · Higher wins ↑
786,385
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
16,229
152,596
Would lose
Densityper km² · Higher wins ↑
20.5
257.7
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
559
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
49.7° N
Would win
14
Round 14Won26 countries · 4 lives left
KenyavsChina
Proximity to equator: 0.4° N vs 32.5° N from the equator · Closer wins ↓
Conquered China.
Other category comparisons 1 other winning choice
All eight categories for Kenya against China
Category
Kenya
China
Result
Areakm² · Higher wins ↑
580,367
9,596,960
Would lose
Populationpeople · Higher wins ↑
55,339,003
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑
6,322
25,200
Would lose
Densityper km² · Higher wins ↑
95.4
147.0
Would lose
Highest peakm · Higher wins ↑
5,199
8,849
Would lose
Coastlinekm · Higher wins ↑
536
14,500
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.4° N
32.5° N
Would win
15
Round 15Won27 countries · 4 lives left
MozambiquevsRussia
Proximity to equator: 14.0° S vs 63.6° N from the equator · Closer wins ↓
Conquered Russia.
Other category comparisons 2 other winning choices
All eight categories for Mozambique against Russia
Category
Mozambique
Russia
Result
Areakm² · Higher wins ↑
799,380
17,098,242
Would lose
Populationpeople · Higher wins ↑
33,635,160
143,826,130
Would lose
Wealth per personint’l $ · Higher wins ↑
1,680
44,299
Would lose
Densityper km² · Higher wins ↑
42.1
8.4
Would win
Highest peakm · Higher wins ↑
2,436
5,642
Would lose
Coastlinekm · Higher wins ↑
2,470
37,653
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.0° S
63.6° N
Would win
16
Round 16Won28 countries · 4 lives left
BurundivsGuinea-Bissau
Density: 491.9 vs 59.6 per km² · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 3 other winning choices
All eight categories for Burundi against Guinea-Bissau
Category
Burundi
Guinea-Bissau
Result
Areakm² · Higher wins ↑
27,830
36,125
Would lose
Populationpeople · Higher wins ↑
13,689,450
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
2,956
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
59.6
Would win
Highest peakm · Higher wins ↑
2,685
277
Would win
Coastlinekm · Higher wins ↑
0
350
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
12.1° N
Would win
17
Round 17Won29 countries · 4 lives left
CubavsMadagascar
Density: 99.4 vs 53.1 per km² · Higher wins ↑
Conquered Madagascar.
Other category comparisons 0 other winning choices
All eight categories for Cuba against Madagascar
Category
Cuba
Madagascar
Result
Areakm² · Higher wins ↑
110,860
587,041
Would lose
Populationpeople · Higher wins ↑
11,019,931
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
Unavailable
1,810
Unavailable
Densityper km² · Higher wins ↑ · Chosen
99.4
53.1
Would win
Highest peakm · Higher wins ↑
1,974
2,876
Would lose
Coastlinekm · Higher wins ↑
3,735
4,828
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
20.6° N
18.4° S
Would lose
18
Round 18Won30 countries · 4 lives left
PeruvsNetherlands
Area: 1,285,216 vs 41,543 km² · Higher wins ↑
Conquered Netherlands.
Other category comparisons 4 other winning choices
All eight categories for Peru against Netherlands
Category
Peru
Netherlands
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
41,543
Would win
Populationpeople · Higher wins ↑
33,845,617
17,877,117
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
80,392
Would lose
Densityper km² · Higher wins ↑
26.3
430.3
Would lose
Highest peakm · Higher wins ↑
6,746
322
Would win
Coastlinekm · Higher wins ↑
2,414
451
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
52.2° N
Would win
19
Round 19Won31 countries · 4 lives left
CyprusvsBulgaria
Density: 145.4 vs 58.1 per km² · Higher wins ↑
Conquered Bulgaria.
Other category comparisons 3 other winning choices
All eight categories for Cyprus against Bulgaria
Category
Cyprus
Bulgaria
Result
Areakm² · Higher wins ↑
9,251
110,879
Would lose
Populationpeople · Higher wins ↑
1,344,976
6,446,596
Would lose
Wealth per personint’l $ · Higher wins ↑
59,875
38,829
Would win
Densityper km² · Higher wins ↑ · Chosen
145.4
58.1
Would win
Highest peakm · Higher wins ↑
1,951
2,925
Would lose
Coastlinekm · Higher wins ↑
648
354
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
42.5° N
Would win
20
Round 20Won32 countries · 4 lives left
ZimbabwevsJordan
Population: 16,340,822 vs 11,439,213 people · Higher wins ↑
Conquered Jordan.
Other category comparisons 4 other winning choices
All eight categories for Zimbabwe against Jordan
Category
Zimbabwe
Jordan
Result
Areakm² · Higher wins ↑
390,757
89,342
Would win
Populationpeople · Higher wins ↑ · Chosen
16,340,822
11,439,213
Would win
Wealth per personint’l $ · Higher wins ↑
5,796
11,451
Would lose
Densityper km² · Higher wins ↑
41.8
128.0
Would lose
Highest peakm · Higher wins ↑
2,592
1,854
Would win
Coastlinekm · Higher wins ↑
0
26
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓