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Untimed expedition · Data edition 01051846d672
98Wins
4Losses
5Ties
Explore the final empire · 111 countries
No countries match your search.
The path through the world
One choice at a time.
107 rounds
Where it began · 12 countries
Bolivia · Cyprus · India · Uzbekistan · Somalia · Nigeria · United Kingdom · Togo · Burkina Faso · France · South Korea · Mauritania
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
BoliviavsMontenegro
Area: 1,098,581 vs 13,812 km² · Higher wins ↑
Conquered Montenegro.
Other category comparisons 4 other winning choices
All eight categories for Bolivia against Montenegro
Category
Bolivia
Montenegro
Result
Areakm² · Higher wins ↑ · Chosen
1,098,581
13,812
Would win
Populationpeople · Higher wins ↑
12,244,159
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
12,903
31,863
Would lose
Densityper km² · Higher wins ↑
11.1
45.1
Would lose
Highest peakm · Higher wins ↑
6,542
2,534
Would win
Coastlinekm · Higher wins ↑
0
293.5
Would lose
Flag colourscolours · Higher wins ↑
9
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.7° S
42.8° N
Would win
2
Round 2Won14 countries · 4 lives left
CyprusvsSudan
Wealth per person: 59,875 vs 2,423 int’l $ · Higher wins ↑
Conquered Sudan.
Other category comparisons 1 other winning choice
All eight categories for Cyprus against Sudan
Category
Cyprus
Sudan
Result
Areakm² · Higher wins ↑
9,251
1,861,484
Would lose
Populationpeople · Higher wins ↑
1,344,976
50,042,791
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
59,875
2,423
Would win
Densityper km² · Higher wins ↑
145.4
26.9
Would win
Highest peakm · Higher wins ↑
1,951
3,042
Would lose
Coastlinekm · Higher wins ↑
648
853
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
16.6° N
Would lose
3
Round 3Won15 countries · 4 lives left
IndiavsPortugal
Area: 3,287,263 vs 92,090 km² · Higher wins ↑
Conquered Portugal.
Other category comparisons 5 other winning choices
All eight categories for India against Portugal
Category
India
Portugal
Result
Areakm² · Higher wins ↑ · Chosen
3,287,263
92,090
Would win
Populationpeople · Higher wins ↑
1,438,069,596
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
49,800
Would lose
Densityper km² · Higher wins ↑
437.5
114.9
Would win
Highest peakm · Higher wins ↑
8,586
2,351
Would win
Coastlinekm · Higher wins ↑
7,000
1,793
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
40.7° N
Would win
4
Round 4Won16 countries · 4 lives left
UzbekistanvsGuinea-Bissau
Area: 447,400 vs 36,125 km² · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 4 other winning choices
All eight categories for Uzbekistan against Guinea-Bissau
Category
Uzbekistan
Guinea-Bissau
Result
Areakm² · Higher wins ↑ · Chosen
447,400
36,125
Would win
Populationpeople · Higher wins ↑
35,652,307
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
11,679
2,956
Would win
Densityper km² · Higher wins ↑
79.7
59.6
Would win
Highest peakm · Higher wins ↑
4,643
277
Would win
Coastlinekm · Higher wins ↑
0
350
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
12.1° N
Would lose
5
Round 5Won17 countries · 4 lives left
SomaliavsSolomon Islands
Area: 637,657 vs 28,896 km² · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 4 other winning choices
All eight categories for Somalia against Solomon Islands
Category
Somalia
Solomon Islands
Result
Areakm² · Higher wins ↑ · Chosen
637,657
28,896
Would win
Populationpeople · Higher wins ↑
18,358,615
800,005
Would win
Wealth per personint’l $ · Higher wins ↑
1,557
2,599
Would lose
Densityper km² · Higher wins ↑
28.8
27.7
Would win
Highest peakm · Higher wins ↑
2,460
2,335
Would win
Coastlinekm · Higher wins ↑
3,025
5,313
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
9.6° S
Would win
6
Round 6Won18 countries · 4 lives left
NigeriavsBrazil
Population: 227,882,945 vs 211,140,729 people · Higher wins ↑
Conquered Brazil.
Other category comparisons 2 other winning choices
All eight categories for Nigeria against Brazil
Category
Nigeria
Brazil
Result
Areakm² · Higher wins ↑
923,768
8,515,770
Would lose
Populationpeople · Higher wins ↑ · Chosen
227,882,945
211,140,729
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
21,193
Would lose
Densityper km² · Higher wins ↑
246.7
24.8
Would win
Highest peakm · Higher wins ↑
2,419
2,994
Would lose
Coastlinekm · Higher wins ↑
853
7,491
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
12.6° S
Would win
7
Round 7Won19 countries · 4 lives left
United KingdomvsSouth Sudan
Population: 68,526,000 vs 11,483,374 people · Higher wins ↑
Conquered South Sudan.
Other category comparisons 2 other winning choices
All eight categories for United Kingdom against South Sudan
Category
United Kingdom
South Sudan
Result
Areakm² · Higher wins ↑
243,610
644,329
Would lose
Populationpeople · Higher wins ↑ · Chosen
68,526,000
11,483,374
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
60,787
Unavailable
Unavailable
Densityper km² · Higher wins ↑
281.3
17.8
Would win
Highest peakm · Higher wins ↑
1,345
3,187
Would lose
Coastlinekm · Higher wins ↑
12,429
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
7.1° N
Would lose
8
Round 8Won20 countries · 4 lives left
TogovsNorway
Proximity to equator: 8.9° N vs 61.5° N from the equator · Closer wins ↓
Conquered Norway.
Other category comparisons 3 other winning choices
All eight categories for Togo against Norway
Category
Togo
Norway
Result
Areakm² · Higher wins ↑
56,785
323,802
Would lose
Populationpeople · Higher wins ↑
8,223,850
5,519,601
Would win
Wealth per personint’l $ · Higher wins ↑
3,572
107,768
Would lose
Densityper km² · Higher wins ↑
144.8
17.0
Would win
Highest peakm · Higher wins ↑
986
2,469
Would lose
Coastlinekm · Higher wins ↑
56
25,148
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° N
61.5° N
Would win
9
Round 9Won21 countries · 4 lives left
Burkina FasovsMauritius
Area: 274,200 vs 2,040 km² · Higher wins ↑
Conquered Mauritius.
Other category comparisons 2 other winning choices
All eight categories for Burkina Faso against Mauritius
Category
Burkina Faso
Mauritius
Result
Areakm² · Higher wins ↑ · Chosen
274,200
2,040
Would win
Populationpeople · Higher wins ↑
23,025,776
1,248,647
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
29,403
Would lose
Densityper km² · Higher wins ↑
84.0
612.1
Would lose
Highest peakm · Higher wins ↑
749
828
Would lose
Coastlinekm · Higher wins ↑
0
177
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.8° N
20.3° S
Would win
10
Round 10Won22 countries · 4 lives left
FrancevsChina
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered China.
Other category comparisons 1 other winning choice
All eight categories for France against China
Category
France
China
Result
Areakm² · Higher wins ↑
551,500
9,596,960
Would lose
Populationpeople · Higher wins ↑
65,925,961
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑
60,927
25,200
Would win
Densityper km² · Higher wins ↑
119.5
147.0
Would lose
Highest peakm · Higher wins ↑
4,810
8,849
Would lose
Coastlinekm · Higher wins ↑
3,427
14,500
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
32.5° N
Would lose
11
Round 11Won23 countries · 4 lives left
South KoreavsYemen
Population: 51,712,619 vs 39,390,799 people · Higher wins ↑
Conquered Yemen.
Other category comparisons 3 other winning choices
All eight categories for South Korea against Yemen
Category
South Korea
Yemen
Result
Areakm² · Higher wins ↑
99,720
527,968
Would lose
Populationpeople · Higher wins ↑ · Chosen
51,712,619
39,390,799
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
57,430
Unavailable
Unavailable
Densityper km² · Higher wins ↑
518.6
74.6
Would win
Highest peakm · Higher wins ↑
1,950
3,666
Would lose
Coastlinekm · Higher wins ↑
2,413
1,906
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
15.3° N
Would lose
12
Round 12Tied23 countries · 4 lives left
MauritaniavsThailand
Flag colours: 3 vs 3 colours · Higher wins ↑
Thailand became contested.
Other category comparisons 1 other winning choice
All eight categories for Mauritania against Thailand
Category
Mauritania
Thailand
Result
Areakm² · Higher wins ↑
1,030,700
513,120
Would win
Populationpeople · Higher wins ↑
5,022,441
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑
6,972
23,598
Would lose
Densityper km² · Higher wins ↑
4.9
139.7
Would lose
Highest peakm · Higher wins ↑
915
2,565
Would lose
Coastlinekm · Higher wins ↑
754
3,219
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
15.5° N
Would lose
13
Round 13Won25 countries · 4 lives left
BoliviavsPhilippines
Flag colours: 9 vs 4 colours · Higher wins ↑
Conquered Philippines, Thailand.
Other category comparisons 4 other winning choices
All eight categories for Bolivia against Philippines
Category
Bolivia
Philippines
Result
Areakm² · Higher wins ↑
1,098,581
300,000
Would win
Populationpeople · Higher wins ↑
12,244,159
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑
12,903
10,995
Would win
Densityper km² · Higher wins ↑
11.1
383.0
Would lose
Highest peakm · Higher wins ↑
6,542
2,954
Would win
Coastlinekm · Higher wins ↑
0
36,289
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.7° S
17.0° N
Would win
14
Round 14Won26 countries · 4 lives left
MontenegrovsEcuador
Wealth per person: 31,863 vs 15,907 int’l $ · Higher wins ↑
Conquered Ecuador.
Other category comparisons 0 other winning choices
All eight categories for Montenegro against Ecuador
Category
Montenegro
Ecuador
Result
Areakm² · Higher wins ↑
13,812
283,561
Would lose
Populationpeople · Higher wins ↑
623,529
17,980,083
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
31,863
15,907
Would win
Densityper km² · Higher wins ↑
45.1
63.4
Would lose
Highest peakm · Higher wins ↑
2,534
6,267
Would lose
Coastlinekm · Higher wins ↑
293.5
2,237
Would lose
Flag colourscolours · Higher wins ↑
5
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.8° N
1.2° S
Would lose
15
Round 15Tied26 countries · 4 lives left
CyprusvsGermany
Flag colours: 3 vs 3 colours · Higher wins ↑
Germany became contested.
Other category comparisons 1 other winning choice
All eight categories for Cyprus against Germany
Category
Cyprus
Germany
Result
Areakm² · Higher wins ↑
9,251
357,022
Would lose
Populationpeople · Higher wins ↑
1,344,976
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
59,875
72,262
Would lose
Densityper km² · Higher wins ↑
145.4
233.3
Would lose
Highest peakm · Higher wins ↑
1,951
2,963
Would lose
Coastlinekm · Higher wins ↑
648
2,389
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
51.0° N
Would win
16
Round 16Won28 countries · 4 lives left
SudanvsVanuatu
Area: 1,861,484 vs 12,189 km² · Higher wins ↑
Conquered Vanuatu, Germany.
Other category comparisons 3 other winning choices
All eight categories for Sudan against Vanuatu
Category
Sudan
Vanuatu
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
12,189
Would win
Populationpeople · Higher wins ↑
50,042,791
320,409
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
4,202
Would lose
Densityper km² · Higher wins ↑
26.9
26.3
Would win
Highest peakm · Higher wins ↑
3,042
1,877
Would win
Coastlinekm · Higher wins ↑
853
2,528
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
15.4° S
Would lose
17
Round 17Won29 countries · 4 lives left
IndiavsBhutan
Coastline: 7,000 vs 0 km · Higher wins ↑
Conquered Bhutan.
Other category comparisons 5 other winning choices
All eight categories for India against Bhutan
Category
India
Bhutan
Result
Areakm² · Higher wins ↑
3,287,263
38,394
Would win
Populationpeople · Higher wins ↑
1,438,069,596
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
16,229
Would lose
Densityper km² · Higher wins ↑
437.5
20.5
Would win
Highest peakm · Higher wins ↑
8,586
7,570
Would win
Coastlinekm · Higher wins ↑ · Chosen
7,000
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
27.5° N
Would win
18
Round 18Won30 countries · 4 lives left
PortugalvsHungary
Coastline: 1,793 vs 0 km · Higher wins ↑
Conquered Hungary.
Other category comparisons 6 other winning choices
All eight categories for Portugal against Hungary
Category
Portugal
Hungary
Result
Areakm² · Higher wins ↑
92,090
93,028
Would lose
Populationpeople · Higher wins ↑
10,578,174
9,592,186
Would win
Wealth per personint’l $ · Higher wins ↑
49,800
46,376
Would win
Densityper km² · Higher wins ↑
114.9
103.1
Would win
Highest peakm · Higher wins ↑
2,351
1,014
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,793
0
Would win
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.7° N
47.3° N
Would win
19
Round 19Won31 countries · 4 lives left
UzbekistanvsCroatia
Area: 447,400 vs 56,594 km² · Higher wins ↑
Conquered Croatia.
Other category comparisons 4 other winning choices
All eight categories for Uzbekistan against Croatia
Category
Uzbekistan
Croatia
Result
Areakm² · Higher wins ↑ · Chosen
447,400
56,594
Would win
Populationpeople · Higher wins ↑
35,652,307
3,859,686
Would win
Wealth per personint’l $ · Higher wins ↑
11,679
47,760
Would lose
Densityper km² · Higher wins ↑
79.7
68.2
Would win
Highest peakm · Higher wins ↑
4,643
1,831
Would win
Coastlinekm · Higher wins ↑
0
5,835
Would lose
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
45.8° N
Would win
20
Round 20Won32 countries · 4 lives left
Guinea-BissauvsSerbia
Proximity to equator: 12.1° N vs 44.2° N from the equator · Closer wins ↓
Conquered Serbia.
Other category comparisons 1 other winning choice
All eight categories for Guinea-Bissau against Serbia
Category
Guinea-Bissau
Serbia
Result
Areakm² · Higher wins ↑
36,125
77,474
Would lose
Populationpeople · Higher wins ↑
2,153,339
6,623,183
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
29,777
Would lose
Densityper km² · Higher wins ↑
59.6
85.5
Would lose
Highest peakm · Higher wins ↑
277
2,169
Would lose
Coastlinekm · Higher wins ↑
350
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Boliviavs
Montenegro
Cyprus
Sudan
India
Portugal
Uzbekistan
Guinea-Bissau
Somalia
Solomon Islands
Nigeria
Brazil
United Kingdom
South Sudan
Togo
Norway
Burkina Faso
Mauritius
France
China
South Korea
Yemen
Mauritania
Thailand
Philippines
Ecuador
Germany
Vanuatu
Bhutan
Hungary
Croatia
Serbia