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Untimed expedition · Data edition 01051846d672
143Wins
4Losses
0Ties
Explore the final empire · 151 countries
No countries match your search.
The path through the world
One choice at a time.
147 rounds
Where it began · 12 countries
Ghana · Bolivia · Guyana · Guatemala · Australia · Denmark · Jordan · Rwanda · DR Congo · Togo · Bhutan · Iceland
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 101Won107 countries · 1 life left
South AfricavsEthiopia
Coastline: 2,798 vs 0 km · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 3 other winning choices
All eight categories for South Africa against Ethiopia
Category
South Africa
Ethiopia
Result
Areakm² · Higher wins ↑
1,219,090
1,104,300
Would win
Populationpeople · Higher wins ↑
63,212,384
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑
15,212
3,063
Would win
Densityper km² · Higher wins ↑
51.9
116.5
Would lose
Highest peakm · Higher wins ↑
3,450
4,550
Would lose
Coastlinekm · Higher wins ↑ · Chosen
2,798
0
Would win
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.2° S
8.5° N
Would lose
102
Round 102Won108 countries · 1 life left
Central African RepublicvsAngola
Flag colours: 5 vs 3 colours · Higher wins ↑
Conquered Angola.
Other category comparisons 1 other winning choice
All eight categories for Central African Republic against Angola
Category
Central African Republic
Angola
Result
Areakm² · Higher wins ↑
622,984
1,246,700
Would lose
Populationpeople · Higher wins ↑
5,152,421
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑
1,258
9,550
Would lose
Densityper km² · Higher wins ↑
8.3
29.5
Would lose
Highest peakm · Higher wins ↑
1,410
2,620
Would lose
Coastlinekm · Higher wins ↑
0
1,600
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
13.2° S
Would win
103
Round 103Won109 countries · 1 life left
FinlandvsLatvia
Wealth per person: 63,467 vs 42,784 int’l $ · Higher wins ↑
Conquered Latvia.
Other category comparisons 4 other winning choices
All eight categories for Finland against Latvia
Category
Finland
Latvia
Result
Areakm² · Higher wins ↑
338,145
64,589
Would win
Populationpeople · Higher wins ↑
5,583,911
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
63,467
42,784
Would win
Densityper km² · Higher wins ↑
16.5
29.2
Would lose
Highest peakm · Higher wins ↑
1,328
312
Would win
Coastlinekm · Higher wins ↑
1,250
498
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
56.6° N
Would lose
104
Round 104Won110 countries · 1 life left
Sri LankavsCôte d’Ivoire
Flag colours: 5 vs 3 colours · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 5 other winning choices
All eight categories for Sri Lanka against Côte d’Ivoire
Category
Sri Lanka
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
65,610
322,463
Would lose
Populationpeople · Higher wins ↑
22,037,000
31,165,654
Would lose
Wealth per personint’l $ · Higher wins ↑
14,512
7,243
Would win
Densityper km² · Higher wins ↑
335.9
96.6
Would win
Highest peakm · Higher wins ↑
2,524
1,752
Would win
Coastlinekm · Higher wins ↑
1,340
515
Would win
Flag colourscolours · Higher wins ↑ · Chosen
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
7.5° N
Would win
105
Round 105Won111 countries · 1 life left
ComorosvsIndonesia
Flag colours: 5 vs 2 colours · Higher wins ↑
Conquered Indonesia.
Other category comparisons 1 other winning choice
All eight categories for Comoros against Indonesia
Category
Comoros
Indonesia
Result
Areakm² · Higher wins ↑
2,235
1,904,569
Would lose
Populationpeople · Higher wins ↑
850,387
281,190,067
Would lose
Wealth per personint’l $ · Higher wins ↑
3,897
15,428
Would lose
Densityper km² · Higher wins ↑
380.5
147.6
Would win
Highest peakm · Higher wins ↑
2,360
4,884
Would lose
Coastlinekm · Higher wins ↑
340
54,716
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.7° S
1.0° S
Would lose
106
Round 106Won112 countries · 1 life left
United StatesvsPortugal
Population: 336,755,052 vs 10,578,174 people · Higher wins ↑
Conquered Portugal.
Other category comparisons 5 other winning choices
All eight categories for United States against Portugal
Category
United States
Portugal
Result
Areakm² · Higher wins ↑
9,833,517
92,090
Would win
Populationpeople · Higher wins ↑ · Chosen
336,755,052
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
82,587
49,800
Would win
Densityper km² · Higher wins ↑
34.2
114.9
Would lose
Highest peakm · Higher wins ↑
6,190
2,351
Would win
Coastlinekm · Higher wins ↑
19,924
1,793
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
40.7° N
Would win
107
Round 107Won113 countries · 1 life left
GuatemalavsIreland
Proximity to equator: 15.0° N vs 53.1° N from the equator · Closer wins ↓
Conquered Ireland.
Other category comparisons 5 other winning choices
All eight categories for Guatemala against Ireland
Category
Guatemala
Ireland
Result
Areakm² · Higher wins ↑
108,889
70,273
Would win
Populationpeople · Higher wins ↑
18,124,838
5,311,538
Would win
Wealth per personint’l $ · Higher wins ↑
13,752
133,440
Would lose
Densityper km² · Higher wins ↑
166.5
75.6
Would win
Highest peakm · Higher wins ↑
4,220
1,041
Would win
Coastlinekm · Higher wins ↑
400
1,448
Would lose
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.0° N
53.1° N
Would win
108
Round 108Won114 countries · 1 life left
GabonvsLaos
Coastline: 885 vs 0 km · Higher wins ↑
Conquered Laos.
Other category comparisons 3 other winning choices
All eight categories for Gabon against Laos
Category
Gabon
Laos
Result
Areakm² · Higher wins ↑
267,667
236,800
Would win
Populationpeople · Higher wins ↑
2,484,789
7,664,993
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
9,299
Would win
Densityper km² · Higher wins ↑
9.3
32.4
Would lose
Highest peakm · Higher wins ↑
1,050
2,817
Would lose
Coastlinekm · Higher wins ↑ · Chosen
885
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
0.6° S
19.6° N
Would win
109
Round 109Won115 countries · 1 life left
NepalvsUkraine
Highest peak: 8,849 vs 2,061 m · Higher wins ↑
Conquered Ukraine.
Other category comparisons 3 other winning choices
All eight categories for Nepal against Ukraine
Category
Nepal
Ukraine
Result
Areakm² · Higher wins ↑
147,181
603,550
Would lose
Populationpeople · Higher wins ↑
29,694,614
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑
5,400
17,680
Would lose
Densityper km² · Higher wins ↑
201.8
62.5
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
2,061
Would win
Coastlinekm · Higher wins ↑
0
2,782
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
49.6° N
Would win
110
Round 110Won116 countries · 1 life left
MadagascarvsLithuania
Coastline: 4,828 vs 90 km · Higher wins ↑
Conquered Lithuania.
Other category comparisons 5 other winning choices
All eight categories for Madagascar against Lithuania
Category
Madagascar
Lithuania
Result
Areakm² · Higher wins ↑
587,041
65,300
Would win
Populationpeople · Higher wins ↑
31,195,932
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
1,810
52,720
Would lose
Densityper km² · Higher wins ↑
53.1
44.0
Would win
Highest peakm · Higher wins ↑
2,876
294
Would win
Coastlinekm · Higher wins ↑ · Chosen
4,828
90
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
18.4° S
55.1° N
Would win
111
Round 111Won117 countries · 1 life left
SurinamevsRomania
Proximity to equator: 4.1° N vs 45.7° N from the equator · Closer wins ↓
Conquered Romania.
Other category comparisons 2 other winning choices
All eight categories for Suriname against Romania
Category
Suriname
Romania
Result
Areakm² · Higher wins ↑
163,820
238,391
Would lose
Populationpeople · Higher wins ↑
628,886
19,061,062
Would lose
Wealth per personint’l $ · Higher wins ↑
21,128
45,982
Would lose
Densityper km² · Higher wins ↑
3.8
80.0
Would lose
Highest peakm · Higher wins ↑
1,230
2,544
Would lose
Coastlinekm · Higher wins ↑
386
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.1° N
45.7° N
Would win
112
Round 112Won118 countries · 1 life left
SenegalvsVietnam
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Vietnam.
Other category comparisons 1 other winning choice
All eight categories for Senegal against Vietnam
Category
Senegal
Vietnam
Result
Areakm² · Higher wins ↑
196,722
331,210
Would lose
Populationpeople · Higher wins ↑
18,077,573
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑
4,782
15,034
Would lose
Densityper km² · Higher wins ↑
91.9
303.0
Would lose
Highest peakm · Higher wins ↑
648
3,144
Would lose
Coastlinekm · Higher wins ↑
531
3,444
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.2° N
21.7° N
Would win
113
Round 113Won119 countries · 1 life left
AustraliavsBangladesh
Coastline: 25,760 vs 580 km · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 5 other winning choices
All eight categories for Australia against Bangladesh
Category
Australia
Bangladesh
Result
Areakm² · Higher wins ↑
7,741,220
148,460
Would win
Populationpeople · Higher wins ↑
26,659,922
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑
72,273
9,155
Would win
Densityper km² · Higher wins ↑
3.4
1,155.0
Would lose
Highest peakm · Higher wins ↑
2,228
1,060
Would win
Coastlinekm · Higher wins ↑ · Chosen
25,760
580
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
24.3° N
Would win
114
Round 114Won120 countries · 1 life left
SomaliavsAustria
Proximity to equator: 2.6° N vs 47.7° N from the equator · Closer wins ↓
Conquered Austria.
Other category comparisons 3 other winning choices
All eight categories for Somalia against Austria
Category
Somalia
Austria
Result
Areakm² · Higher wins ↑
637,657
83,871
Would win
Populationpeople · Higher wins ↑
18,358,615
9,131,761
Would win
Wealth per personint’l $ · Higher wins ↑
1,557
74,261
Would lose
Densityper km² · Higher wins ↑
28.8
108.9
Would lose
Highest peakm · Higher wins ↑
2,460
3,798
Would lose
Coastlinekm · Higher wins ↑
3,025
0
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
2.6° N
47.7° N
Would win
115
Round 115Won121 countries · 1 life left
South SudanvsMontenegro
Area: 644,329 vs 13,812 km² · Higher wins ↑
Conquered Montenegro.
Other category comparisons 4 other winning choices
All eight categories for South Sudan against Montenegro
Category
South Sudan
Montenegro
Result
Areakm² · Higher wins ↑ · Chosen
644,329
13,812
Would win
Populationpeople · Higher wins ↑
11,483,374
623,529
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
31,863
Unavailable
Densityper km² · Higher wins ↑
17.8
45.1
Would lose
Highest peakm · Higher wins ↑
3,187
2,534
Would win
Coastlinekm · Higher wins ↑
0
293.5
Would lose
Flag colourscolours · Higher wins ↑
6
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
42.8° N
Would win
116
Round 116Won122 countries · 1 life left
TajikistanvsQatar
Highest peak: 7,495 vs 103 m · Higher wins ↑
Conquered Qatar.
Other category comparisons 3 other winning choices
All eight categories for Tajikistan against Qatar
Category
Tajikistan
Qatar
Result
Areakm² · Higher wins ↑
144,100
11,586
Would win
Populationpeople · Higher wins ↑
10,389,799
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑
4,968
129,025
Would lose
Densityper km² · Higher wins ↑
72.1
229.2
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,495
103
Would win
Coastlinekm · Higher wins ↑
0
563
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
25.1° N
Would lose
117
Round 117Won123 countries · 1 life left
AzerbaijanvsCuba
Highest peak: 4,466 vs 1,974 m · Higher wins ↑
Conquered Cuba.
Other category comparisons 2 other winning choices
All eight categories for Azerbaijan against Cuba
Category
Azerbaijan
Cuba
Result
Areakm² · Higher wins ↑
86,600
110,860
Would lose
Populationpeople · Higher wins ↑
10,153,958
11,019,931
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
23,671
Unavailable
Unavailable
Densityper km² · Higher wins ↑
117.3
99.4
Would win
Highest peakm · Higher wins ↑ · Chosen
4,466
1,974
Would win
Coastlinekm · Higher wins ↑
0
3,735
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
20.6° N
Would lose
118
Round 118Won124 countries · 1 life left
CameroonvsItaly
Proximity to equator: 4.5° N vs 45.1° N from the equator · Closer wins ↓
Conquered Italy.
Other category comparisons 1 other winning choice
All eight categories for Cameroon against Italy
Category
Cameroon
Italy
Result
Areakm² · Higher wins ↑
475,440
301,340
Would win
Populationpeople · Higher wins ↑
28,372,687
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
5,415
60,350
Would lose
Densityper km² · Higher wins ↑
59.7
195.7
Would lose
Highest peakm · Higher wins ↑
4,045
4,748
Would lose
Coastlinekm · Higher wins ↑
402
7,600
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.5° N
45.1° N
Would win
119
Round 119Won125 countries · 1 life left
BurundivsMalaysia
Density: 491.9 vs 106.5 per km² · Higher wins ↑
Conquered Malaysia.
Other category comparisons 1 other winning choice
All eight categories for Burundi against Malaysia
Category
Burundi
Malaysia
Result
Areakm² · Higher wins ↑
27,830
329,847
Would lose
Populationpeople · Higher wins ↑
13,689,450
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑
1,147
36,497
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
106.5
Would win
Highest peakm · Higher wins ↑
2,685
4,095
Would lose
Coastlinekm · Higher wins ↑
0
4,675
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
4.4° N
Would win
120
Round 120Won126 countries · 1 life left
MaltavsLesotho
Density: 1,749.2 vs 76.1 per km² · Higher wins ↑
Conquered Lesotho.
Other category comparisons 2 other winning choices
All eight categories for Malta against Lesotho
Category
Malta
Lesotho
Result
Areakm² · Higher wins ↑
316
30,355
Would lose
Populationpeople · Higher wins ↑
552,747
2,311,472
Would lose
Wealth per personint’l $ · Higher wins ↑
67,101
2,880
Would win
Densityper km² · Higher wins ↑ · Chosen
1,749.2
76.1
Would win
Highest peakm · Higher wins ↑
253
3,482
Would lose
Coastlinekm · Higher wins ↑
196.8
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓