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Untimed expedition · Data edition 01051846d672
161Wins
2Losses
3Ties
Explore the final empire · 174 countries
No countries match your search.
The path through the world
One choice at a time.
166 rounds
Where it began · 12 countries
Bosnia and Herzegovina · Afghanistan · Kenya · Uganda · Bangladesh · India · Rwanda · Mongolia · Türkiye · Romania · Morocco · Suriname
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
Bosnia and HerzegovinavsCôte d’Ivoire
Wealth per person: 23,376 vs 7,243 int’l $ · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 1 other winning choice
All eight categories for Bosnia and Herzegovina against Côte d’Ivoire
Category
Bosnia and Herzegovina
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
51,197
322,463
Would lose
Populationpeople · Higher wins ↑
3,185,073
31,165,654
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
23,376
7,243
Would win
Densityper km² · Higher wins ↑
62.2
96.6
Would lose
Highest peakm · Higher wins ↑
2,386
1,752
Would win
Coastlinekm · Higher wins ↑
20
515
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
44.1° N
7.5° N
Would lose
2
Round 2Won14 countries · 4 lives left
AfghanistanvsBenin
Population: 41,454,761 vs 14,111,034 people · Higher wins ↑
Conquered Benin.
Other category comparisons 3 other winning choices
All eight categories for Afghanistan against Benin
Category
Afghanistan
Benin
Result
Areakm² · Higher wins ↑
652,230
112,622
Would win
Populationpeople · Higher wins ↑ · Chosen
41,454,761
14,111,034
Would win
Wealth per personint’l $ · Higher wins ↑
2,204
4,133
Would lose
Densityper km² · Higher wins ↑
63.6
125.3
Would lose
Highest peakm · Higher wins ↑
7,492
675
Would win
Coastlinekm · Higher wins ↑
0
121
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
10.4° N
Would lose
3
Round 3Won15 countries · 4 lives left
KenyavsComoros
Area: 580,367 vs 2,235 km² · Higher wins ↑
Conquered Comoros.
Other category comparisons 5 other winning choices
All eight categories for Kenya against Comoros
Category
Kenya
Comoros
Result
Areakm² · Higher wins ↑ · Chosen
580,367
2,235
Would win
Populationpeople · Higher wins ↑
55,339,003
850,387
Would win
Wealth per personint’l $ · Higher wins ↑
6,322
3,897
Would win
Densityper km² · Higher wins ↑
95.4
380.5
Would lose
Highest peakm · Higher wins ↑
5,199
2,360
Would win
Coastlinekm · Higher wins ↑
536
340
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
0.4° N
11.7° S
Would win
4
Round 4Won16 countries · 4 lives left
UgandavsSouth Sudan
Proximity to equator: 2.0° N vs 7.1° N from the equator · Closer wins ↓
Conquered South Sudan.
Other category comparisons 3 other winning choices
All eight categories for Uganda against South Sudan
Category
Uganda
South Sudan
Result
Areakm² · Higher wins ↑
241,038
644,329
Would lose
Populationpeople · Higher wins ↑
48,656,601
11,483,374
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
3,100
Unavailable
Unavailable
Densityper km² · Higher wins ↑
201.9
17.8
Would win
Highest peakm · Higher wins ↑
5,110
3,187
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
2.0° N
7.1° N
Would win
5
Round 5Won17 countries · 4 lives left
BangladeshvsLatvia
Population: 171,466,990 vs 1,883,710 people · Higher wins ↑
Conquered Latvia.
Other category comparisons 5 other winning choices
All eight categories for Bangladesh against Latvia
Category
Bangladesh
Latvia
Result
Areakm² · Higher wins ↑
148,460
64,589
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
42,784
Would lose
Densityper km² · Higher wins ↑
1,155.0
29.2
Would win
Highest peakm · Higher wins ↑
1,060
312
Would win
Coastlinekm · Higher wins ↑
580
498
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
56.6° N
Would win
6
Round 6Won18 countries · 4 lives left
IndiavsSingapore
Population: 1,438,069,596 vs 5,917,648 people · Higher wins ↑
Conquered Singapore.
Other category comparisons 4 other winning choices
All eight categories for India against Singapore
Category
India
Singapore
Result
Areakm² · Higher wins ↑
3,287,263
719
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
5,917,648
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
144,728
Would lose
Densityper km² · Higher wins ↑
437.5
8,230.4
Would lose
Highest peakm · Higher wins ↑
8,586
166
Would win
Coastlinekm · Higher wins ↑
7,000
193
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
1.4° N
Would lose
7
Round 7Won19 countries · 4 lives left
RwandavsTunisia
Proximity to equator: 1.8° S vs 35.3° N from the equator · Closer wins ↓
Conquered Tunisia.
Other category comparisons 4 other winning choices
All eight categories for Rwanda against Tunisia
Category
Rwanda
Tunisia
Result
Areakm² · Higher wins ↑
26,338
163,610
Would lose
Populationpeople · Higher wins ↑
13,954,471
12,200,431
Would win
Wealth per personint’l $ · Higher wins ↑
3,519
14,052
Would lose
Densityper km² · Higher wins ↑
529.8
74.6
Would win
Highest peakm · Higher wins ↑
4,519
1,544
Would win
Coastlinekm · Higher wins ↑
0
1,148
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.8° S
35.3° N
Would win
8
Round 8Won20 countries · 4 lives left
MongoliavsSri Lanka
Area: 1,564,116 vs 65,610 km² · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 2 other winning choices
All eight categories for Mongolia against Sri Lanka
Category
Mongolia
Sri Lanka
Result
Areakm² · Higher wins ↑ · Chosen
1,564,116
65,610
Would win
Populationpeople · Higher wins ↑
3,481,145
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑
18,020
14,512
Would win
Densityper km² · Higher wins ↑
2.2
335.9
Would lose
Highest peakm · Higher wins ↑
4,374
2,524
Would win
Coastlinekm · Higher wins ↑
0
1,340
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
7.1° N
Would lose
9
Round 9Won21 countries · 4 lives left
TürkiyevsUkraine
Population: 85,325,965 vs 37,732,836 people · Higher wins ↑
Conquered Ukraine.
Other category comparisons 6 other winning choices
All eight categories for Türkiye against Ukraine
Category
Türkiye
Ukraine
Result
Areakm² · Higher wins ↑
783,562
603,550
Would win
Populationpeople · Higher wins ↑ · Chosen
85,325,965
37,732,836
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
17,680
Would win
Densityper km² · Higher wins ↑
108.9
62.5
Would win
Highest peakm · Higher wins ↑
5,137
2,061
Would win
Coastlinekm · Higher wins ↑
7,200
2,782
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
49.6° N
Would win
10
Round 10Won22 countries · 4 lives left
RomaniavsAzerbaijan
Area: 238,391 vs 86,600 km² · Higher wins ↑
Conquered Azerbaijan.
Other category comparisons 3 other winning choices
All eight categories for Romania against Azerbaijan
Category
Romania
Azerbaijan
Result
Areakm² · Higher wins ↑ · Chosen
238,391
86,600
Would win
Populationpeople · Higher wins ↑
19,061,062
10,153,958
Would win
Wealth per personint’l $ · Higher wins ↑
45,982
23,671
Would win
Densityper km² · Higher wins ↑
80.0
117.3
Would lose
Highest peakm · Higher wins ↑
2,544
4,466
Would lose
Coastlinekm · Higher wins ↑
225
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.7° N
40.5° N
Would lose
11
Round 11Won23 countries · 4 lives left
MoroccovsAngola
Wealth per person: 9,903 vs 9,550 int’l $ · Higher wins ↑
Conquered Angola.
Other category comparisons 4 other winning choices
All eight categories for Morocco against Angola
Category
Morocco
Angola
Result
Areakm² · Higher wins ↑
446,550
1,246,700
Would lose
Populationpeople · Higher wins ↑
37,712,505
36,749,906
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
9,903
9,550
Would win
Densityper km² · Higher wins ↑
84.5
29.5
Would win
Highest peakm · Higher wins ↑
4,165
2,620
Would win
Coastlinekm · Higher wins ↑
1,835
1,600
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
13.2° S
Would lose
12
Round 12Won24 countries · 4 lives left
SurinamevsAlgeria
Proximity to equator: 4.1° N vs 27.4° N from the equator · Closer wins ↓
Conquered Algeria.
Other category comparisons 2 other winning choices
All eight categories for Suriname against Algeria
Category
Suriname
Algeria
Result
Areakm² · Higher wins ↑
163,820
2,381,740
Would lose
Populationpeople · Higher wins ↑
628,886
46,164,219
Would lose
Wealth per personint’l $ · Higher wins ↑
21,128
16,838
Would win
Densityper km² · Higher wins ↑
3.8
19.4
Would lose
Highest peakm · Higher wins ↑
1,230
2,908
Would lose
Coastlinekm · Higher wins ↑
386
998
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.1° N
27.4° N
Would win
13
Round 13Won25 countries · 4 lives left
Bosnia and HerzegovinavsEquatorial Guinea
Wealth per person: 23,376 vs 16,997 int’l $ · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 2 other winning choices
All eight categories for Bosnia and Herzegovina against Equatorial Guinea
Category
Bosnia and Herzegovina
Equatorial Guinea
Result
Areakm² · Higher wins ↑
51,197
28,051
Would win
Populationpeople · Higher wins ↑
3,185,073
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
23,376
16,997
Would win
Densityper km² · Higher wins ↑
62.2
65.9
Would lose
Highest peakm · Higher wins ↑
2,386
3,008
Would lose
Coastlinekm · Higher wins ↑
20
296
Would lose
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
44.1° N
1.6° N
Would lose
14
Round 14Won26 countries · 4 lives left
Côte d’IvoirevsAlbania
Proximity to equator: 7.5° N vs 40.7° N from the equator · Closer wins ↓
Conquered Albania.
Other category comparisons 5 other winning choices
All eight categories for Côte d’Ivoire against Albania
Category
Côte d’Ivoire
Albania
Result
Areakm² · Higher wins ↑
322,463
28,748
Would win
Populationpeople · Higher wins ↑
31,165,654
2,411,658
Would win
Wealth per personint’l $ · Higher wins ↑
7,243
24,848
Would lose
Densityper km² · Higher wins ↑
96.6
83.9
Would win
Highest peakm · Higher wins ↑
1,752
2,764
Would lose
Coastlinekm · Higher wins ↑
515
362
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.5° N
40.7° N
Would win
15
Round 15Won27 countries · 4 lives left
AfghanistanvsBahamas
Area: 652,230 vs 13,880 km² · Higher wins ↑
Conquered Bahamas.
Other category comparisons 4 other winning choices
All eight categories for Afghanistan against Bahamas
Category
Afghanistan
Bahamas
Result
Areakm² · Higher wins ↑ · Chosen
652,230
13,880
Would win
Populationpeople · Higher wins ↑
41,454,761
399,440
Would win
Wealth per personint’l $ · Higher wins ↑
2,204
39,122
Would lose
Densityper km² · Higher wins ↑
63.6
28.8
Would win
Highest peakm · Higher wins ↑
7,492
64
Would win
Coastlinekm · Higher wins ↑
0
3,542
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
24.7° N
Would lose
16
Round 16Won28 countries · 4 lives left
BeninvsTogo
Area: 112,622 vs 56,785 km² · Higher wins ↑
Conquered Togo.
Other category comparisons 3 other winning choices
All eight categories for Benin against Togo
Category
Benin
Togo
Result
Areakm² · Higher wins ↑ · Chosen
112,622
56,785
Would win
Populationpeople · Higher wins ↑
14,111,034
8,223,850
Would win
Wealth per personint’l $ · Higher wins ↑
4,133
3,572
Would win
Densityper km² · Higher wins ↑
125.3
144.8
Would lose
Highest peakm · Higher wins ↑
675
986
Would lose
Coastlinekm · Higher wins ↑
121
56
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.4° N
8.9° N
Would lose
17
Round 17Won29 countries · 4 lives left
KenyavsChina
Flag colours: 4 vs 2 colours · Higher 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 ↑ · Chosen
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
0.4° N
32.5° N
Would win
18
Round 18Won30 countries · 4 lives left
ComorosvsVietnam
Flag colours: 5 vs 2 colours · Higher wins ↑
Conquered Vietnam.
Other category comparisons 2 other winning choices
All eight categories for Comoros against Vietnam
Category
Comoros
Vietnam
Result
Areakm² · Higher wins ↑
2,235
331,210
Would lose
Populationpeople · Higher wins ↑
850,387
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑
3,897
15,034
Would lose
Densityper km² · Higher wins ↑
380.5
303.0
Would win
Highest peakm · Higher wins ↑
2,360
3,144
Would lose
Coastlinekm · Higher wins ↑
340
3,444
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.7° S
21.7° N
Would win
19
Round 19Won31 countries · 4 lives left
UgandavsZambia
Proximity to equator: 2.0° N vs 14.7° S from the equator · Closer wins ↓
Conquered Zambia.
Other category comparisons 4 other winning choices
All eight categories for Uganda against Zambia
Category
Uganda
Zambia
Result
Areakm² · Higher wins ↑
241,038
752,618
Would lose
Populationpeople · Higher wins ↑
48,656,601
20,723,965
Would win
Wealth per personint’l $ · Higher wins ↑
3,100
4,080
Would lose
Densityper km² · Higher wins ↑
201.9
27.5
Would win
Highest peakm · Higher wins ↑
5,110
2,330
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
2.0° N
14.7° S
Would win
20
Round 20Won32 countries · 4 lives left
South SudanvsMyanmar
Flag colours: 6 vs 4 colours · Higher wins ↑
Conquered Myanmar.
Other category comparisons 1 other winning choice
All eight categories for South Sudan against Myanmar
Category
South Sudan
Myanmar
Result
Areakm² · Higher wins ↑
644,329
676,578
Would lose
Populationpeople · Higher wins ↑
11,483,374
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
5,958
Unavailable
Densityper km² · Higher wins ↑
17.8
80.0
Would lose
Highest peakm · Higher wins ↑
3,187
5,870
Would lose
Coastlinekm · Higher wins ↑
0
1,930
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Bosnia and Herzegovinavs
Côte d’Ivoire
Afghanistan
Benin
Kenya
Comoros
Uganda
South Sudan
Bangladesh
Latvia
India
Singapore
Rwanda
Tunisia
Mongolia
Sri Lanka
Türkiye
Ukraine
Romania
Azerbaijan
Morocco
Angola
Suriname
Algeria
Equatorial Guinea
Albania
Bahamas
Togo
China
Vietnam
Zambia
Myanmar