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Untimed expedition · Data edition 01051846d672
46Wins
2Losses
1Ties
Explore the final empire · 57 countries
No countries match your search.
The path through the world
One choice at a time.
49 rounds
Where it began · 12 countries
Austria · Russia · Bhutan · Gambia · Malaysia · Fiji · Indonesia · Cabo Verde · Peru · South Sudan · Libya · Oman
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
AustriavsDominican Republic
Wealth per person: 74,261 vs 25,861 int’l $ · Higher wins ↑
Conquered Dominican Republic.
Other category comparisons 2 other winning choices
All eight categories for Austria against Dominican Republic
Category
Austria
Dominican Republic
Result
Areakm² · Higher wins ↑
83,871
48,670
Would win
Populationpeople · Higher wins ↑
9,131,761
11,331,265
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
74,261
25,861
Would win
Densityper km² · Higher wins ↑
108.9
232.8
Would lose
Highest peakm · Higher wins ↑
3,798
3,098
Would win
Coastlinekm · Higher wins ↑
0
1,288
Would lose
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
19.1° N
Would lose
2
Round 2Won14 countries · 4 lives left
RussiavsColombia
Population: 143,826,130 vs 52,321,152 people · Higher wins ↑
Conquered Colombia.
Other category comparisons 3 other winning choices
All eight categories for Russia against Colombia
Category
Russia
Colombia
Result
Areakm² · Higher wins ↑
17,098,242
1,138,910
Would win
Populationpeople · Higher wins ↑ · Chosen
143,826,130
52,321,152
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
21,282
Would win
Densityper km² · Higher wins ↑
8.4
45.9
Would lose
Highest peakm · Higher wins ↑
5,642
5,730
Would lose
Coastlinekm · Higher wins ↑
37,653
3,208
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
3.4° N
Would lose
3
Round 3Won15 countries · 4 lives left
BhutanvsSpain
Highest peak: 7,570 vs 3,718 m · Higher wins ↑
Conquered Spain.
Other category comparisons 1 other winning choice
All eight categories for Bhutan against Spain
Category
Bhutan
Spain
Result
Areakm² · Higher wins ↑
38,394
505,370
Would lose
Populationpeople · Higher wins ↑
786,385
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
55,661
Would lose
Densityper km² · Higher wins ↑
20.5
95.7
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
3,718
Would win
Coastlinekm · Higher wins ↑
0
4,964
Would lose
Flag colourscolours · Higher wins ↑
4
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
40.0° N
Would win
4
Round 4Won16 countries · 4 lives left
GambiavsCambodia
Density: 238.7 vs 96.2 per km² · Higher wins ↑
Conquered Cambodia.
Other category comparisons 0 other winning choices
All eight categories for Gambia against Cambodia
Category
Gambia
Cambodia
Result
Areakm² · Higher wins ↑
11,300
181,035
Would lose
Populationpeople · Higher wins ↑
2,697,845
17,423,880
Would lose
Wealth per personint’l $ · Higher wins ↑
3,292
7,437
Would lose
Densityper km² · Higher wins ↑ · Chosen
238.7
96.2
Would win
Highest peakm · Higher wins ↑
63
1,810
Would lose
Coastlinekm · Higher wins ↑
80
443
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
13.6° N
12.6° N
Would lose
5
Round 5Won17 countries · 4 lives left
MalaysiavsPanama
Population: 35,126,298 vs 4,458,759 people · Higher wins ↑
Conquered Panama.
Other category comparisons 6 other winning choices
All eight categories for Malaysia against Panama
Category
Malaysia
Panama
Result
Areakm² · Higher wins ↑
329,847
75,420
Would win
Populationpeople · Higher wins ↑ · Chosen
35,126,298
4,458,759
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
39,846
Would lose
Densityper km² · Higher wins ↑
106.5
59.1
Would win
Highest peakm · Higher wins ↑
4,095
3,475
Would win
Coastlinekm · Higher wins ↑
4,675
2,490
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
8.4° N
Would win
6
Round 6Won18 countries · 4 lives left
FijivsUruguay
Coastline: 1,129 vs 660 km · Higher wins ↑
Conquered Uruguay.
Other category comparisons 4 other winning choices
All eight categories for Fiji against Uruguay
Category
Fiji
Uruguay
Result
Areakm² · Higher wins ↑
18,274
176,215
Would lose
Populationpeople · Higher wins ↑
924,145
3,388,081
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
34,546
Would lose
Densityper km² · Higher wins ↑
50.6
19.2
Would win
Highest peakm · Higher wins ↑
1,324
514
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,129
660
Would win
Flag colourscolours · Higher wins ↑
8
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.8° S
32.9° S
Would win
7
Round 7Won19 countries · 4 lives left
IndonesiavsChile
Population: 281,190,067 vs 19,658,835 people · Higher wins ↑
Conquered Chile.
Other category comparisons 4 other winning choices
All eight categories for Indonesia against Chile
Category
Indonesia
Chile
Result
Areakm² · Higher wins ↑
1,904,569
756,102
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
19,658,835
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
33,174
Would lose
Densityper km² · Higher wins ↑
147.6
26.0
Would win
Highest peakm · Higher wins ↑
4,884
6,893
Would lose
Coastlinekm · Higher wins ↑
54,716
6,435
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
23.4° S
Would win
8
Round 8Won20 countries · 4 lives left
Cabo VerdevsLithuania
Proximity to equator: 15.0° N vs 55.1° N from the equator · Closer wins ↓
Conquered Lithuania.
Other category comparisons 4 other winning choices
All eight categories for Cabo Verde against Lithuania
Category
Cabo Verde
Lithuania
Result
Areakm² · Higher wins ↑
4,033
65,300
Would lose
Populationpeople · Higher wins ↑
522,331
2,871,585
Would lose
Wealth per personint’l $ · Higher wins ↑
10,251
52,720
Would lose
Densityper km² · Higher wins ↑
129.5
44.0
Would win
Highest peakm · Higher wins ↑
2,829
294
Would win
Coastlinekm · Higher wins ↑
965
90
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.0° N
55.1° N
Would win
9
Round 9Won21 countries · 4 lives left
PeruvsCzechia
Area: 1,285,216 vs 78,867 km² · Higher wins ↑
Conquered Czechia.
Other category comparisons 4 other winning choices
All eight categories for Peru against Czechia
Category
Peru
Czechia
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
78,867
Would win
Populationpeople · Higher wins ↑
33,845,617
10,864,042
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
56,062
Would lose
Densityper km² · Higher wins ↑
26.3
137.8
Would lose
Highest peakm · Higher wins ↑
6,746
1,602
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
49.8° N
Would win
10
Round 10Won22 countries · 4 lives left
South SudanvsDR Congo
Flag colours: 6 vs 3 colours · Higher wins ↑
Conquered DR Congo.
Other category comparisons 0 other winning choices
All eight categories for South Sudan against DR Congo
Category
South Sudan
DR Congo
Result
Areakm² · Higher wins ↑
644,329
2,344,858
Would lose
Populationpeople · Higher wins ↑
11,483,374
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
1,732
Unavailable
Densityper km² · Higher wins ↑
17.8
45.1
Would lose
Highest peakm · Higher wins ↑
3,187
5,110
Would lose
Coastlinekm · Higher wins ↑
0
37
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
1.9° S
Would lose
11
Round 11Won23 countries · 4 lives left
LibyavsEswatini
Area: 1,759,540 vs 17,364 km² · Higher wins ↑
Conquered Eswatini.
Other category comparisons 5 other winning choices
All eight categories for Libya against Eswatini
Category
Libya
Eswatini
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
17,364
Would win
Populationpeople · Higher wins ↑
7,305,659
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
11,309
Would win
Densityper km² · Higher wins ↑
4.2
70.9
Would lose
Highest peakm · Higher wins ↑
2,267
1,862
Would win
Coastlinekm · Higher wins ↑
1,770
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
26.6° S
Would win
12
Round 12Tied23 countries · 4 lives left
OmanvsYemen
Flag colours: 3 vs 3 colours · Higher wins ↑
Yemen became contested.
Other category comparisons 1 other winning choice
All eight categories for Oman against Yemen
Category
Oman
Yemen
Result
Areakm² · Higher wins ↑
309,500
527,968
Would lose
Populationpeople · Higher wins ↑
5,049,269
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
41,980
Unavailable
Unavailable
Densityper km² · Higher wins ↑
16.3
74.6
Would lose
Highest peakm · Higher wins ↑
3,004
3,666
Would lose
Coastlinekm · Higher wins ↑
2,092
1,906
Would win
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
15.3° N
Would lose
13
Round 13Won25 countries · 4 lives left
AustriavsMexico
Wealth per person: 74,261 vs 25,188 int’l $ · Higher wins ↑
Conquered Mexico, Yemen.
Other category comparisons 1 other winning choice
All eight categories for Austria against Mexico
Category
Austria
Mexico
Result
Areakm² · Higher wins ↑
83,871
1,964,375
Would lose
Populationpeople · Higher wins ↑
9,131,761
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
74,261
25,188
Would win
Densityper km² · Higher wins ↑
108.9
66.0
Would win
Highest peakm · Higher wins ↑
3,798
5,636
Would lose
Coastlinekm · Higher wins ↑
0
9,330
Would lose
Flag colourscolours · Higher wins ↑
2
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
23.5° N
Would lose
14
Round 14Won26 countries · 4 lives left
Dominican RepublicvsAngola
Density: 232.8 vs 29.5 per km² · Higher wins ↑
Conquered Angola.
Other category comparisons 3 other winning choices
All eight categories for Dominican Republic against Angola
Category
Dominican Republic
Angola
Result
Areakm² · Higher wins ↑
48,670
1,246,700
Would lose
Populationpeople · Higher wins ↑
11,331,265
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑
25,861
9,550
Would win
Densityper km² · Higher wins ↑ · Chosen
232.8
29.5
Would win
Highest peakm · Higher wins ↑
3,098
2,620
Would win
Coastlinekm · Higher wins ↑
1,288
1,600
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.1° N
13.2° S
Would lose
15
Round 15Won27 countries · 4 lives left
RussiavsZambia
Population: 143,826,130 vs 20,723,965 people · Higher wins ↑
Conquered Zambia.
Other category comparisons 4 other winning choices
All eight categories for Russia against Zambia
Category
Russia
Zambia
Result
Areakm² · Higher wins ↑
17,098,242
752,618
Would win
Populationpeople · Higher wins ↑ · Chosen
143,826,130
20,723,965
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
4,080
Would win
Densityper km² · Higher wins ↑
8.4
27.5
Would lose
Highest peakm · Higher wins ↑
5,642
2,330
Would win
Coastlinekm · Higher wins ↑
37,653
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
14.7° S
Would lose
16
Round 16Won28 countries · 4 lives left
ColombiavsSomalia
Population: 52,321,152 vs 18,358,615 people · Higher wins ↑
Conquered Somalia.
Other category comparisons 6 other winning choices
All eight categories for Colombia against Somalia
Category
Colombia
Somalia
Result
Areakm² · Higher wins ↑
1,138,910
637,657
Would win
Populationpeople · Higher wins ↑ · Chosen
52,321,152
18,358,615
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
1,557
Would win
Densityper km² · Higher wins ↑
45.9
28.8
Would win
Highest peakm · Higher wins ↑
5,730
2,460
Would win
Coastlinekm · Higher wins ↑
3,208
3,025
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
2.6° N
Would lose
17
Round 17Won29 countries · 4 lives left
BhutanvsSweden
Highest peak: 7,570 vs 2,100 m · Higher wins ↑
Conquered Sweden.
Other category comparisons 2 other winning choices
All eight categories for Bhutan against Sweden
Category
Bhutan
Sweden
Result
Areakm² · Higher wins ↑
38,394
450,295
Would lose
Populationpeople · Higher wins ↑
786,385
10,536,632
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
68,458
Would lose
Densityper km² · Higher wins ↑
20.5
23.4
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
2,100
Would win
Coastlinekm · Higher wins ↑
0
3,218
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
65.8° N
Would win
18
Round 18Won30 countries · 4 lives left
SpainvsSenegal
Wealth per person: 55,661 vs 4,782 int’l $ · Higher wins ↑
Conquered Senegal.
Other category comparisons 6 other winning choices
All eight categories for Spain against Senegal
Category
Spain
Senegal
Result
Areakm² · Higher wins ↑
505,370
196,722
Would win
Populationpeople · Higher wins ↑
48,352,528
18,077,573
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
55,661
4,782
Would win
Densityper km² · Higher wins ↑
95.7
91.9
Would win
Highest peakm · Higher wins ↑
3,718
648
Would win
Coastlinekm · Higher wins ↑
4,964
531
Would win
Flag colourscolours · Higher wins ↑
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
15.2° N
Would lose
19
Round 19Won31 countries · 4 lives left
GambiavsItaly
Density: 238.7 vs 195.7 per km² · Higher wins ↑
Conquered Italy.
Other category comparisons 2 other winning choices
All eight categories for Gambia against Italy
Category
Gambia
Italy
Result
Areakm² · Higher wins ↑
11,300
301,340
Would lose
Populationpeople · Higher wins ↑
2,697,845
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
3,292
60,350
Would lose
Densityper km² · Higher wins ↑ · Chosen
238.7
195.7
Would win
Highest peakm · Higher wins ↑
63
4,748
Would lose
Coastlinekm · Higher wins ↑
80
7,600
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.6° N
45.1° N
Would win
20
Round 20Won32 countries · 4 lives left
CambodiavsUzbekistan
Proximity to equator: 12.6° N vs 41.5° N from the equator · Closer wins ↓
Conquered Uzbekistan.
Other category comparisons 2 other winning choices
All eight categories for Cambodia against Uzbekistan
Category
Cambodia
Uzbekistan
Result
Areakm² · Higher wins ↑
181,035
447,400
Would lose
Populationpeople · Higher wins ↑
17,423,880
35,652,307
Would lose
Wealth per personint’l $ · Higher wins ↑
7,437
11,679
Would lose
Densityper km² · Higher wins ↑
96.2
79.7
Would win
Highest peakm · Higher wins ↑
1,810
4,643
Would lose
Coastlinekm · Higher wins ↑
443
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Austriavs
Dominican Republic
Russia
Colombia
Bhutan
Spain
Gambia
Cambodia
Malaysia
Panama
Fiji
Uruguay
Indonesia
Chile
Cabo Verde
Lithuania
Peru
Czechia
South Sudan
DR Congo
Libya
Eswatini
Oman
Yemen
Mexico
Angola
Zambia
Somalia
Sweden
Senegal
Italy
Uzbekistan