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Untimed expedition · Data edition 01051846d672
158Wins
4Losses
1Ties
Explore the final empire · 167 countries
No countries match your search.
The path through the world
One choice at a time.
163 rounds
Where it began · 12 countries
India · Mexico · Serbia · Gabon · Türkiye · El Salvador · Ecuador · Guinea · Japan · Sri Lanka · Guinea-Bissau · Togo
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
101
Round 101Won111 countries · 3 lives left
SerbiavsCabo Verde
Area: 77,474 vs 4,033 km² · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 3 other winning choices
All eight categories for Serbia against Cabo Verde
Category
Serbia
Cabo Verde
Result
Areakm² · Higher wins ↑ · Chosen
77,474
4,033
Would win
Populationpeople · Higher wins ↑
6,623,183
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
29,777
10,251
Would win
Densityper km² · Higher wins ↑
85.5
129.5
Would lose
Highest peakm · Higher wins ↑
2,169
2,829
Would lose
Coastlinekm · Higher wins ↑
0
965
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
44.2° N
15.0° N
Would lose
102
Round 102Won112 countries · 3 lives left
NigeriavsRwanda
Population: 227,882,945 vs 13,954,471 people · Higher wins ↑
Conquered Rwanda.
Other category comparisons 3 other winning choices
All eight categories for Nigeria against Rwanda
Category
Nigeria
Rwanda
Result
Areakm² · Higher wins ↑
923,768
26,338
Would win
Populationpeople · Higher wins ↑ · Chosen
227,882,945
13,954,471
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
3,519
Would win
Densityper km² · Higher wins ↑
246.7
529.8
Would lose
Highest peakm · Higher wins ↑
2,419
4,519
Would lose
Coastlinekm · Higher wins ↑
853
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
1.8° S
Would lose
103
Round 103Won113 countries · 3 lives left
United StatesvsMontenegro
Population: 336,755,052 vs 623,529 people · Higher wins ↑
Conquered Montenegro.
Other category comparisons 5 other winning choices
All eight categories for United States against Montenegro
Category
United States
Montenegro
Result
Areakm² · Higher wins ↑
9,833,517
13,812
Would win
Populationpeople · Higher wins ↑ · Chosen
336,755,052
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
82,587
31,863
Would win
Densityper km² · Higher wins ↑
34.2
45.1
Would lose
Highest peakm · Higher wins ↑
6,190
2,534
Would win
Coastlinekm · Higher wins ↑
19,924
293.5
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
42.8° N
Would win
104
Round 104Won114 countries · 3 lives left
LatviavsAlbania
Wealth per person: 42,784 vs 24,848 int’l $ · Higher wins ↑
Conquered Albania.
Other category comparisons 2 other winning choices
All eight categories for Latvia against Albania
Category
Latvia
Albania
Result
Areakm² · Higher wins ↑
64,589
28,748
Would win
Populationpeople · Higher wins ↑
1,883,710
2,411,658
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,784
24,848
Would win
Densityper km² · Higher wins ↑
29.2
83.9
Would lose
Highest peakm · Higher wins ↑
312
2,764
Would lose
Coastlinekm · Higher wins ↑
498
362
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
40.7° N
Would lose
105
Round 105Won115 countries · 3 lives left
ThailandvsCuba
Population: 71,702,435 vs 11,019,931 people · Higher wins ↑
Conquered Cuba.
Other category comparisons 4 other winning choices
All eight categories for Thailand against Cuba
Category
Thailand
Cuba
Result
Areakm² · Higher wins ↑
513,120
110,860
Would win
Populationpeople · Higher wins ↑ · Chosen
71,702,435
11,019,931
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
23,598
Unavailable
Unavailable
Densityper km² · Higher wins ↑
139.7
99.4
Would win
Highest peakm · Higher wins ↑
2,565
1,974
Would win
Coastlinekm · Higher wins ↑
3,219
3,735
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
20.6° N
Would win
106
Round 106Won116 countries · 3 lives left
ZambiavsChile
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Chile.
Other category comparisons 3 other winning choices
All eight categories for Zambia against Chile
Category
Zambia
Chile
Result
Areakm² · Higher wins ↑
752,618
756,102
Would lose
Populationpeople · Higher wins ↑
20,723,965
19,658,835
Would win
Wealth per personint’l $ · Higher wins ↑
4,080
33,174
Would lose
Densityper km² · Higher wins ↑
27.5
26.0
Would win
Highest peakm · Higher wins ↑
2,330
6,893
Would lose
Coastlinekm · Higher wins ↑
0
6,435
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.7° S
23.4° S
Would win
107
Round 107Won117 countries · 3 lives left
TanzaniavsVietnam
Highest peak: 5,895 vs 3,144 m · Higher wins ↑
Conquered Vietnam.
Other category comparisons 3 other winning choices
All eight categories for Tanzania against Vietnam
Category
Tanzania
Vietnam
Result
Areakm² · Higher wins ↑
947,300
331,210
Would win
Populationpeople · Higher wins ↑
66,617,606
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑
4,022
15,034
Would lose
Densityper km² · Higher wins ↑
70.3
303.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
5,895
3,144
Would win
Coastlinekm · Higher wins ↑
1,424
3,444
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
21.7° N
Would win
108
Round 108Won118 countries · 3 lives left
BrazilvsAngola
Population: 211,140,729 vs 36,749,906 people · Higher wins ↑
Conquered Angola.
Other category comparisons 6 other winning choices
All eight categories for Brazil against Angola
Category
Brazil
Angola
Result
Areakm² · Higher wins ↑
8,515,770
1,246,700
Would win
Populationpeople · Higher wins ↑ · Chosen
211,140,729
36,749,906
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
9,550
Would win
Densityper km² · Higher wins ↑
24.8
29.5
Would lose
Highest peakm · Higher wins ↑
2,994
2,620
Would win
Coastlinekm · Higher wins ↑
7,491
1,600
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
13.2° S
Would win
109
Round 109Won119 countries · 3 lives left
GabonvsMongolia
Proximity to equator: 0.6° S vs 46.0° N from the equator · Closer wins ↓
Conquered Mongolia.
Other category comparisons 3 other winning choices
All eight categories for Gabon against Mongolia
Category
Gabon
Mongolia
Result
Areakm² · Higher wins ↑
267,667
1,564,116
Would lose
Populationpeople · Higher wins ↑
2,484,789
3,481,145
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
18,020
Would win
Densityper km² · Higher wins ↑
9.3
2.2
Would win
Highest peakm · Higher wins ↑
1,050
4,374
Would lose
Coastlinekm · Higher wins ↑
885
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
46.0° N
Would win
110
Round 110Won120 countries · 3 lives left
UzbekistanvsGermany
Highest peak: 4,643 vs 2,963 m · Higher wins ↑
Conquered Germany.
Other category comparisons 3 other winning choices
All eight categories for Uzbekistan against Germany
Category
Uzbekistan
Germany
Result
Areakm² · Higher wins ↑
447,400
357,022
Would win
Populationpeople · Higher wins ↑
35,652,307
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
11,679
72,262
Would lose
Densityper km² · Higher wins ↑
79.7
233.3
Would lose
Highest peakm · Higher wins ↑ · Chosen
4,643
2,963
Would win
Coastlinekm · Higher wins ↑
0
2,389
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
51.0° N
Would win
111
Round 111Won121 countries · 3 lives left
SwedenvsSierra Leone
Area: 450,295 vs 71,740 km² · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 4 other winning choices
All eight categories for Sweden against Sierra Leone
Category
Sweden
Sierra Leone
Result
Areakm² · Higher wins ↑ · Chosen
450,295
71,740
Would win
Populationpeople · Higher wins ↑
10,536,632
8,460,512
Would win
Wealth per personint’l $ · Higher wins ↑
68,458
3,371
Would win
Densityper km² · Higher wins ↑
23.4
117.9
Would lose
Highest peakm · Higher wins ↑
2,100
1,948
Would win
Coastlinekm · Higher wins ↑
3,218
402
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
65.8° N
8.7° N
Would lose
112
Round 112Won122 countries · 3 lives left
BahrainvsNetherlands
Proximity to equator: 26.0° N vs 52.2° N from the equator · Closer wins ↓
Conquered Netherlands.
Other category comparisons 1 other winning choice
All eight categories for Bahrain against Netherlands
Category
Bahrain
Netherlands
Result
Areakm² · Higher wins ↑
760
41,543
Would lose
Populationpeople · Higher wins ↑
1,577,059
17,877,117
Would lose
Wealth per personint’l $ · Higher wins ↑
64,224
80,392
Would lose
Densityper km² · Higher wins ↑
2,075.1
430.3
Would win
Highest peakm · Higher wins ↑
135
322
Would lose
Coastlinekm · Higher wins ↑
161
451
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
26.0° N
52.2° N
Would win
113
Round 113Won123 countries · 3 lives left
CzechiavsBotswana
Wealth per person: 56,062 vs 21,029 int’l $ · Higher wins ↑
Conquered Botswana.
Other category comparisons 3 other winning choices
All eight categories for Czechia against Botswana
Category
Czechia
Botswana
Result
Areakm² · Higher wins ↑
78,867
581,730
Would lose
Populationpeople · Higher wins ↑
10,864,042
2,480,244
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
21,029
Would win
Densityper km² · Higher wins ↑
137.8
4.3
Would win
Highest peakm · Higher wins ↑
1,602
1,495
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
22.1° S
Would lose
114
Round 114Won124 countries · 3 lives left
GuatemalavsMalawi
Coastline: 400 vs 0 km · Higher wins ↑
Conquered Malawi.
Other category comparisons 3 other winning choices
All eight categories for Guatemala against Malawi
Category
Guatemala
Malawi
Result
Areakm² · Higher wins ↑
108,889
118,484
Would lose
Populationpeople · Higher wins ↑
18,124,838
21,104,482
Would lose
Wealth per personint’l $ · Higher wins ↑
13,752
1,832
Would win
Densityper km² · Higher wins ↑
166.5
178.1
Would lose
Highest peakm · Higher wins ↑
4,220
3,002
Would win
Coastlinekm · Higher wins ↑ · Chosen
400
0
Would win
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
13.4° S
Would lose
115
Round 115Lost123 countries · 2 lives left
UkrainevsMozambique
Highest peak: 2,061 vs 2,436 m · Higher wins ↑
Returned to the world: Ukraine.
Other category comparisons 4 other winning choices
All eight categories for Ukraine against Mozambique
Category
Ukraine
Mozambique
Result
Areakm² · Higher wins ↑
603,550
799,380
Would lose
Populationpeople · Higher wins ↑
37,732,836
33,635,160
Would win
Wealth per personint’l $ · Higher wins ↑
17,680
1,680
Would win
Densityper km² · Higher wins ↑
62.5
42.1
Would win
Highest peakm · Higher wins ↑ · Chosen
2,061
2,436
Would lose
Coastlinekm · Higher wins ↑
2,782
2,470
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
14.0° S
Would lose
116
Round 116Won124 countries · 2 lives left
PeruvsQatar
Area: 1,285,216 vs 11,586 km² · Higher wins ↑
Conquered Qatar.
Other category comparisons 4 other winning choices
All eight categories for Peru against Qatar
Category
Peru
Qatar
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
11,586
Would win
Populationpeople · Higher wins ↑
33,845,617
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
129,025
Would lose
Densityper km² · Higher wins ↑
26.3
229.2
Would lose
Highest peakm · Higher wins ↑
6,746
103
Would win
Coastlinekm · Higher wins ↑
2,414
563
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
25.1° N
Would win
117
Round 117Won125 countries · 2 lives left
TürkiyevsMalaysia
Population: 85,325,965 vs 35,126,298 people · Higher wins ↑
Conquered Malaysia.
Other category comparisons 5 other winning choices
All eight categories for Türkiye against Malaysia
Category
Türkiye
Malaysia
Result
Areakm² · Higher wins ↑
783,562
329,847
Would win
Populationpeople · Higher wins ↑ · Chosen
85,325,965
35,126,298
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
36,497
Would win
Densityper km² · Higher wins ↑
108.9
106.5
Would win
Highest peakm · Higher wins ↑
5,137
4,095
Would win
Coastlinekm · Higher wins ↑
7,200
4,675
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
4.4° N
Would lose
118
Round 118Lost124 countries · 1 life left
VanuatuvsCameroon
Density: 26.3 vs 59.7 per km² · Higher wins ↑
Returned to the world: Vanuatu.
Other category comparisons 2 other winning choices
All eight categories for Vanuatu against Cameroon
Category
Vanuatu
Cameroon
Result
Areakm² · Higher wins ↑
12,189
475,440
Would lose
Populationpeople · Higher wins ↑
320,409
28,372,687
Would lose
Wealth per personint’l $ · Higher wins ↑
4,202
5,415
Would lose
Densityper km² · Higher wins ↑ · Chosen
26.3
59.7
Would lose
Highest peakm · Higher wins ↑
1,877
4,045
Would lose
Coastlinekm · Higher wins ↑
2,528
402
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.4° S
4.5° N
Would lose
119
Round 119Won125 countries · 1 life left
South SudanvsUruguay
Population: 11,483,374 vs 3,388,081 people · Higher wins ↑
Conquered Uruguay.
Other category comparisons 4 other winning choices
All eight categories for South Sudan against Uruguay
Category
South Sudan
Uruguay
Result
Areakm² · Higher wins ↑
644,329
176,215
Would win
Populationpeople · Higher wins ↑ · Chosen
11,483,374
3,388,081
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
34,546
Unavailable
Densityper km² · Higher wins ↑
17.8
19.2
Would lose
Highest peakm · Higher wins ↑
3,187
514
Would win
Coastlinekm · Higher wins ↑
0
660
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
32.9° S
Would win
120
Round 120Won126 countries · 1 life left
SpainvsSolomon Islands
Wealth per person: 55,661 vs 2,599 int’l $ · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 5 other winning choices
All eight categories for Spain against Solomon Islands
Category
Spain
Solomon Islands
Result
Areakm² · Higher wins ↑
505,370
28,896
Would win
Populationpeople · Higher wins ↑
48,352,528
800,005
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
55,661
2,599
Would win
Densityper km² · Higher wins ↑
95.7
27.7
Would win
Highest peakm · Higher wins ↑
3,718
2,335
Would win
Coastlinekm · Higher wins ↑
4,964
5,313
Would lose
Flag colourscolours · Higher wins ↑
10
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓