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Untimed expedition · Data edition 01051846d672
18Wins
1Losses
0Ties
Explore the final empire · 29 countries
No countries match your search.
The path through the world
One choice at a time.
19 rounds
Where it began · 12 countries
Somalia · Zambia · Brazil · Timor-Leste · Belarus · Rwanda · Argentina · Georgia · Czechia · Chad · Romania · Namibia
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
SomaliavsTogo
Area: 637,657 vs 56,785 km² · Higher wins ↑
Conquered Togo.
Other category comparisons 4 other winning choices
All eight categories for Somalia against Togo
Category
Somalia
Togo
Result
Areakm² · Higher wins ↑ · Chosen
637,657
56,785
Would win
Populationpeople · Higher wins ↑
18,358,615
8,223,850
Would win
Wealth per personint’l $ · Higher wins ↑
1,557
3,572
Would lose
Densityper km² · Higher wins ↑
28.8
144.8
Would lose
Highest peakm · Higher wins ↑
2,460
986
Would win
Coastlinekm · Higher wins ↑
3,025
56
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
8.9° N
Would win
2
Round 2Won14 countries · 4 lives left
ZambiavsLebanon
Area: 752,618 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 3 other winning choices
All eight categories for Zambia against Lebanon
Category
Zambia
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
752,618
10,400
Would win
Populationpeople · Higher wins ↑
20,723,965
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
4,080
12,585
Would lose
Densityper km² · Higher wins ↑
27.5
555.1
Would lose
Highest peakm · Higher wins ↑
2,330
3,088
Would lose
Coastlinekm · Higher wins ↑
0
225
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.7° S
34.2° N
Would win
3
Round 3Won15 countries · 4 lives left
BrazilvsUkraine
Population: 211,140,729 vs 37,732,836 people · Higher wins ↑
Conquered Ukraine.
Other category comparisons 6 other winning choices
All eight categories for Brazil against Ukraine
Category
Brazil
Ukraine
Result
Areakm² · Higher wins ↑
8,515,770
603,550
Would win
Populationpeople · Higher wins ↑ · Chosen
211,140,729
37,732,836
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
17,680
Would win
Densityper km² · Higher wins ↑
24.8
62.5
Would lose
Highest peakm · Higher wins ↑
2,994
2,061
Would win
Coastlinekm · Higher wins ↑
7,491
2,782
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
49.6° N
Would win
4
Round 4Won16 countries · 4 lives left
Timor-LestevsDR Congo
Density: 93.1 vs 45.1 per km² · Higher wins ↑
Conquered DR Congo.
Other category comparisons 3 other winning choices
All eight categories for Timor-Leste against DR Congo
Category
Timor-Leste
DR Congo
Result
Areakm² · Higher wins ↑
14,874
2,344,858
Would lose
Populationpeople · Higher wins ↑
1,384,286
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
1,732
Would win
Densityper km² · Higher wins ↑ · Chosen
93.1
45.1
Would win
Highest peakm · Higher wins ↑
2,963
5,110
Would lose
Coastlinekm · Higher wins ↑
706
37
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
1.9° S
Would lose
5
Round 5Won17 countries · 4 lives left
BelarusvsSenegal
Wealth per person: 30,860 vs 4,782 int’l $ · Higher wins ↑
Conquered Senegal.
Other category comparisons 1 other winning choice
All eight categories for Belarus against Senegal
Category
Belarus
Senegal
Result
Areakm² · Higher wins ↑
207,600
196,722
Would win
Populationpeople · Higher wins ↑
9,178,298
18,077,573
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
30,860
4,782
Would win
Densityper km² · Higher wins ↑
44.2
91.9
Would lose
Highest peakm · Higher wins ↑
346
648
Would lose
Coastlinekm · Higher wins ↑
0
531
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
15.2° N
Would lose
6
Round 6Won18 countries · 4 lives left
RwandavsTurkmenistan
Density: 529.8 vs 15.1 per km² · Higher wins ↑
Conquered Turkmenistan.
Other category comparisons 3 other winning choices
All eight categories for Rwanda against Turkmenistan
Category
Rwanda
Turkmenistan
Result
Areakm² · Higher wins ↑
26,338
488,100
Would lose
Populationpeople · Higher wins ↑
13,954,471
7,364,438
Would win
Wealth per personint’l $ · Higher wins ↑
3,519
19,645
Would lose
Densityper km² · Higher wins ↑ · Chosen
529.8
15.1
Would win
Highest peakm · Higher wins ↑
4,519
3,139
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.8° S
39.9° N
Would win
7
Round 7Won19 countries · 4 lives left
ArgentinavsTajikistan
Area: 2,780,400 vs 144,100 km² · Higher wins ↑
Conquered Tajikistan.
Other category comparisons 4 other winning choices
All eight categories for Argentina against Tajikistan
Category
Argentina
Tajikistan
Result
Areakm² · Higher wins ↑ · Chosen
2,780,400
144,100
Would win
Populationpeople · Higher wins ↑
45,538,401
10,389,799
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
4,968
Would win
Densityper km² · Higher wins ↑
16.4
72.1
Would lose
Highest peakm · Higher wins ↑
6,962
7,495
Would lose
Coastlinekm · Higher wins ↑
4,989
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
38.3° N
Would win
8
Round 8Won20 countries · 4 lives left
GeorgiavsTrinidad and Tobago
Area: 69,700 vs 5,128 km² · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 2 other winning choices
All eight categories for Georgia against Trinidad and Tobago
Category
Georgia
Trinidad and Tobago
Result
Areakm² · Higher wins ↑ · Chosen
69,700
5,128
Would win
Populationpeople · Higher wins ↑
3,715,483
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
25,093
34,652
Would lose
Densityper km² · Higher wins ↑
53.3
266.7
Would lose
Highest peakm · Higher wins ↑
5,193
940
Would win
Coastlinekm · Higher wins ↑
310
362
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.4° N
10.3° N
Would lose
9
Round 9Won21 countries · 4 lives left
CzechiavsNigeria
Wealth per person: 56,062 vs 8,712 int’l $ · Higher wins ↑
Conquered Nigeria.
Other category comparisons 1 other winning choice
All eight categories for Czechia against Nigeria
Category
Czechia
Nigeria
Result
Areakm² · Higher wins ↑
78,867
923,768
Would lose
Populationpeople · Higher wins ↑
10,864,042
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
8,712
Would win
Densityper km² · Higher wins ↑
137.8
246.7
Would lose
Highest peakm · Higher wins ↑
1,602
2,419
Would lose
Coastlinekm · Higher wins ↑
0
853
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
9.4° N
Would lose
10
Round 10Won22 countries · 4 lives left
ChadvsKuwait
Area: 1,284,000 vs 17,818 km² · Higher wins ↑
Conquered Kuwait.
Other category comparisons 3 other winning choices
All eight categories for Chad against Kuwait
Category
Chad
Kuwait
Result
Areakm² · Higher wins ↑ · Chosen
1,284,000
17,818
Would win
Populationpeople · Higher wins ↑
19,319,064
4,853,420
Would win
Wealth per personint’l $ · Higher wins ↑
2,703
53,083
Would lose
Densityper km² · Higher wins ↑
15.0
272.4
Would lose
Highest peakm · Higher wins ↑
3,445
300
Would win
Coastlinekm · Higher wins ↑
0
499
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
17.3° N
29.4° N
Would win
11
Round 11Won23 countries · 4 lives left
RomaniavsEstonia
Area: 238,391 vs 45,228 km² · Higher wins ↑
Conquered Estonia.
Other category comparisons 4 other winning choices
All eight categories for Romania against Estonia
Category
Romania
Estonia
Result
Areakm² · Higher wins ↑ · Chosen
238,391
45,228
Would win
Populationpeople · Higher wins ↑
19,061,062
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
45,982
48,848
Would lose
Densityper km² · Higher wins ↑
80.0
30.3
Would win
Highest peakm · Higher wins ↑
2,544
318
Would win
Coastlinekm · Higher wins ↑
225
3,794
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.7° N
58.6° N
Would win
12
Round 12Won24 countries · 4 lives left
NamibiavsTunisia
Area: 824,292 vs 163,610 km² · Higher wins ↑
Conquered Tunisia.
Other category comparisons 4 other winning choices
All eight categories for Namibia against Tunisia
Category
Namibia
Tunisia
Result
Areakm² · Higher wins ↑ · Chosen
824,292
163,610
Would win
Populationpeople · Higher wins ↑
2,963,095
12,200,431
Would lose
Wealth per personint’l $ · Higher wins ↑
11,248
14,052
Would lose
Densityper km² · Higher wins ↑
3.6
74.6
Would lose
Highest peakm · Higher wins ↑
2,573
1,544
Would win
Coastlinekm · Higher wins ↑
1,572
1,148
Would win
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
20.6° S
35.3° N
Would win
13
Round 13Won25 countries · 4 lives left
SomaliavsNepal
Coastline: 3,025 vs 0 km · Higher wins ↑
Conquered Nepal.
Other category comparisons 2 other winning choices
All eight categories for Somalia against Nepal
Category
Somalia
Nepal
Result
Areakm² · Higher wins ↑
637,657
147,181
Would win
Populationpeople · Higher wins ↑
18,358,615
29,694,614
Would lose
Wealth per personint’l $ · Higher wins ↑
1,557
5,400
Would lose
Densityper km² · Higher wins ↑
28.8
201.8
Would lose
Highest peakm · Higher wins ↑
2,460
8,849
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,025
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
29.0° N
Would win
14
Round 14Won26 countries · 4 lives left
TogovsSlovenia
Population: 8,223,850 vs 2,120,461 people · Higher wins ↑
Conquered Slovenia.
Other category comparisons 4 other winning choices
All eight categories for Togo against Slovenia
Category
Togo
Slovenia
Result
Areakm² · Higher wins ↑
56,785
20,273
Would win
Populationpeople · Higher wins ↑ · Chosen
8,223,850
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
3,572
56,151
Would lose
Densityper km² · Higher wins ↑
144.8
104.6
Would win
Highest peakm · Higher wins ↑
986
2,864
Would lose
Coastlinekm · Higher wins ↑
56
46.6
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.9° N
46.0° N
Would win
15
Round 15Won27 countries · 4 lives left
ZambiavsParaguay
Population: 20,723,965 vs 6,844,146 people · Higher wins ↑
Conquered Paraguay.
Other category comparisons 4 other winning choices
All eight categories for Zambia against Paraguay
Category
Zambia
Paraguay
Result
Areakm² · Higher wins ↑
752,618
406,752
Would win
Populationpeople · Higher wins ↑ · Chosen
20,723,965
6,844,146
Would win
Wealth per personint’l $ · Higher wins ↑
4,080
17,585
Would lose
Densityper km² · Higher wins ↑
27.5
16.8
Would win
Highest peakm · Higher wins ↑
2,330
842
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
14.7° S
21.6° S
Would win
16
Round 16Won28 countries · 4 lives left
LebanonvsSuriname
Density: 555.1 vs 3.8 per km² · Higher wins ↑
Conquered Suriname.
Other category comparisons 2 other winning choices
All eight categories for Lebanon against Suriname
Category
Lebanon
Suriname
Result
Areakm² · Higher wins ↑
10,400
163,820
Would lose
Populationpeople · Higher wins ↑
5,773,493
628,886
Would win
Wealth per personint’l $ · Higher wins ↑
12,585
21,128
Would lose
Densityper km² · Higher wins ↑ · Chosen
555.1
3.8
Would win
Highest peakm · Higher wins ↑
3,088
1,230
Would win
Coastlinekm · Higher wins ↑
225
386
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
4.1° N
Would lose
17
Round 17Won29 countries · 4 lives left
BrazilvsCroatia
Population: 211,140,729 vs 3,859,686 people · Higher wins ↑
Conquered Croatia.
Other category comparisons 4 other winning choices
All eight categories for Brazil against Croatia
Category
Brazil
Croatia
Result
Areakm² · Higher wins ↑
8,515,770
56,594
Would win
Populationpeople · Higher wins ↑ · Chosen
211,140,729
3,859,686
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
47,760
Would lose
Densityper km² · Higher wins ↑
24.8
68.2
Would lose
Highest peakm · Higher wins ↑
2,994
1,831
Would win
Coastlinekm · Higher wins ↑
7,491
5,835
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
45.8° N
Would win
18
Round 18Won30 countries · 4 lives left
UkrainevsSouth Sudan
Population: 37,732,836 vs 11,483,374 people · Higher wins ↑
Conquered South Sudan.
Other category comparisons 2 other winning choices
All eight categories for Ukraine against South Sudan
Category
Ukraine
South Sudan
Result
Areakm² · Higher wins ↑
603,550
644,329
Would lose
Populationpeople · Higher wins ↑ · Chosen
37,732,836
11,483,374
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
17,680
Unavailable
Unavailable
Densityper km² · Higher wins ↑
62.5
17.8
Would win
Highest peakm · Higher wins ↑
2,061
3,187
Would lose
Coastlinekm · Higher wins ↑
2,782
0
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
7.1° N
Would lose
19
Round 19Lost29 countries · 3 lives left
Timor-LestevsPortugal
Area: 14,874 vs 92,090 km² · Higher wins ↑
Returned to the world: Timor-Leste.
Other category comparisons 2 other winning choices
All eight categories for Timor-Leste against Portugal
Category
Timor-Leste
Portugal
Result
Areakm² · Higher wins ↑ · Chosen
14,874
92,090
Would lose
Populationpeople · Higher wins ↑
1,384,286
10,578,174
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
49,800
Would lose
Densityper km² · Higher wins ↑
93.1
114.9
Would lose
Highest peakm · Higher wins ↑
2,963
2,351
Would win
Coastlinekm · Higher wins ↑
706
1,793
Would lose
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Somaliavs
Togo
Zambia
Lebanon
Brazil
Ukraine
Timor-Leste
DR Congo
Belarus
Senegal
Rwanda
Turkmenistan
Argentina
Tajikistan
Georgia
Trinidad and Tobago
Czechia
Nigeria
Chad
Kuwait
Romania
Estonia
Namibia
Tunisia
Nepal
Slovenia
Paraguay
Suriname
Croatia
South Sudan
Portugal