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Untimed expedition · Data edition 01051846d672
15Wins
4Losses
0Ties
Explore the final empire · 23 countries
No countries match your search.
The path through the world
One choice at a time.
19 rounds
Where it began · 12 countries
Singapore · Iceland · Oman · Romania · Kyrgyzstan · Gambia · Somalia · China · Gabon · Venezuela · Maldives · Moldova
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
SingaporevsHonduras
Wealth per person: 144,728 vs 7,184 int’l $ · Higher wins ↑
Conquered Honduras.
Other category comparisons 2 other winning choices
All eight categories for Singapore against Honduras
Category
Singapore
Honduras
Result
Areakm² · Higher wins ↑
719
112,090
Would lose
Populationpeople · Higher wins ↑
5,917,648
10,644,851
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
144,728
7,184
Would win
Densityper km² · Higher wins ↑
8,230.4
95.0
Would win
Highest peakm · Higher wins ↑
166
2,870
Would lose
Coastlinekm · Higher wins ↑
193
823
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
14.7° N
Would win
2
Round 2Won14 countries · 4 lives left
IcelandvsEl Salvador
Wealth per person: 82,257 vs 12,667 int’l $ · Higher wins ↑
Conquered El Salvador.
Other category comparisons 2 other winning choices
All eight categories for Iceland against El Salvador
Category
Iceland
El Salvador
Result
Areakm² · Higher wins ↑
103,000
21,041
Would win
Populationpeople · Higher wins ↑
385,663
6,309,624
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
12,667
Would win
Densityper km² · Higher wins ↑
3.7
299.9
Would lose
Highest peakm · Higher wins ↑
2,110
2,730
Would lose
Coastlinekm · Higher wins ↑
4,970
307
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
13.9° N
Would lose
3
Round 3Won15 countries · 4 lives left
OmanvsSouth Sudan
Coastline: 2,092 vs 0 km · Higher wins ↑
Conquered South Sudan.
Other category comparisons 0 other winning choices
All eight categories for Oman against South Sudan
Category
Oman
South Sudan
Result
Areakm² · Higher wins ↑
309,500
644,329
Would lose
Populationpeople · Higher wins ↑
5,049,269
11,483,374
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
41,980
Unavailable
Unavailable
Densityper km² · Higher wins ↑
16.3
17.8
Would lose
Highest peakm · Higher wins ↑
3,004
3,187
Would lose
Coastlinekm · Higher wins ↑ · Chosen
2,092
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
7.1° N
Would lose
4
Round 4Won16 countries · 4 lives left
RomaniavsGermany
Proximity to equator: 45.7° N vs 51.0° N from the equator · Closer wins ↓
Conquered Germany.
Other category comparisons 0 other winning choices
All eight categories for Romania against Germany
Category
Romania
Germany
Result
Areakm² · Higher wins ↑
238,391
357,022
Would lose
Populationpeople · Higher wins ↑
19,061,062
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
45,982
72,262
Would lose
Densityper km² · Higher wins ↑
80.0
233.3
Would lose
Highest peakm · Higher wins ↑
2,544
2,963
Would lose
Coastlinekm · Higher wins ↑
225
2,389
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
45.7° N
51.0° N
Would win
5
Round 5Won17 countries · 4 lives left
KyrgyzstanvsCuba
Area: 199,951 vs 110,860 km² · Higher wins ↑
Conquered Cuba.
Other category comparisons 1 other winning choice
All eight categories for Kyrgyzstan against Cuba
Category
Kyrgyzstan
Cuba
Result
Areakm² · Higher wins ↑ · Chosen
199,951
110,860
Would win
Populationpeople · Higher wins ↑
7,099,750
11,019,931
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
7,304
Unavailable
Unavailable
Densityper km² · Higher wins ↑
35.5
99.4
Would lose
Highest peakm · Higher wins ↑
7,439
1,974
Would win
Coastlinekm · Higher wins ↑
0
3,735
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.7° N
20.6° N
Would lose
6
Round 6Won18 countries · 4 lives left
GambiavsLuxembourg
Area: 11,300 vs 2,586 km² · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 4 other winning choices
All eight categories for Gambia against Luxembourg
Category
Gambia
Luxembourg
Result
Areakm² · Higher wins ↑ · Chosen
11,300
2,586
Would win
Populationpeople · Higher wins ↑
2,697,845
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
3,292
152,596
Would lose
Densityper km² · Higher wins ↑
238.7
257.7
Would lose
Highest peakm · Higher wins ↑
63
559
Would lose
Coastlinekm · Higher wins ↑
80
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.6° N
49.7° N
Would win
7
Round 7Won19 countries · 4 lives left
SomaliavsSenegal
Coastline: 3,025 vs 531 km · Higher wins ↑
Conquered Senegal.
Other category comparisons 4 other winning choices
All eight categories for Somalia against Senegal
Category
Somalia
Senegal
Result
Areakm² · Higher wins ↑
637,657
196,722
Would win
Populationpeople · Higher wins ↑
18,358,615
18,077,573
Would win
Wealth per personint’l $ · Higher wins ↑
1,557
4,782
Would lose
Densityper km² · Higher wins ↑
28.8
91.9
Would lose
Highest peakm · Higher wins ↑
2,460
648
Would win
Coastlinekm · Higher wins ↑ · Chosen
3,025
531
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
15.2° N
Would win
8
Round 8Won20 countries · 4 lives left
ChinavsSerbia
Area: 9,596,960 vs 77,474 km² · Higher wins ↑
Conquered Serbia.
Other category comparisons 5 other winning choices
All eight categories for China against Serbia
Category
China
Serbia
Result
Areakm² · Higher wins ↑ · Chosen
9,596,960
77,474
Would win
Populationpeople · Higher wins ↑
1,410,710,000
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
29,777
Would lose
Densityper km² · Higher wins ↑
147.0
85.5
Would win
Highest peakm · Higher wins ↑
8,849
2,169
Would win
Coastlinekm · Higher wins ↑
14,500
0
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
44.2° N
Would win
9
Round 9Won21 countries · 4 lives left
GabonvsTrinidad and Tobago
Area: 267,667 vs 5,128 km² · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 4 other winning choices
All eight categories for Gabon against Trinidad and Tobago
Category
Gabon
Trinidad and Tobago
Result
Areakm² · Higher wins ↑ · Chosen
267,667
5,128
Would win
Populationpeople · Higher wins ↑
2,484,789
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
20,773
34,652
Would lose
Densityper km² · Higher wins ↑
9.3
266.7
Would lose
Highest peakm · Higher wins ↑
1,050
940
Would win
Coastlinekm · Higher wins ↑
885
362
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
0.6° S
10.3° N
Would win
10
Round 10Lost20 countries · 3 lives left
VenezuelavsMali
Area: 912,050 vs 1,240,192 km² · Higher wins ↑
Returned to the world: Venezuela.
Other category comparisons 6 other winning choices
All eight categories for Venezuela against Mali
Category
Venezuela
Mali
Result
Areakm² · Higher wins ↑ · Chosen
912,050
1,240,192
Would lose
Populationpeople · Higher wins ↑
28,300,854
23,769,127
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
3,178
Unavailable
Densityper km² · Higher wins ↑
31.0
19.2
Would win
Highest peakm · Higher wins ↑
4,978
1,155
Would win
Coastlinekm · Higher wins ↑
2,800
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.2° N
18.6° N
Would win
11
Round 11Won21 countries · 3 lives left
MaldivesvsCanada
Density: 1,765.1 vs 4.0 per km² · Higher wins ↑
Conquered Canada.
Other category comparisons 2 other winning choices
All eight categories for Maldives against Canada
Category
Maldives
Canada
Result
Areakm² · Higher wins ↑
298
9,984,670
Would lose
Populationpeople · Higher wins ↑
525,994
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
64,962
Would lose
Densityper km² · Higher wins ↑ · Chosen
1,765.1
4.0
Would win
Highest peakm · Higher wins ↑
5
5,959
Would lose
Coastlinekm · Higher wins ↑
644
202,080
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
3.3° N
58.8° N
Would win
12
Round 12Won22 countries · 3 lives left
MoldovavsMauritania
Wealth per person: 17,751 vs 6,972 int’l $ · Higher wins ↑
Conquered Mauritania.
Other category comparisons 2 other winning choices
All eight categories for Moldova against Mauritania
Category
Moldova
Mauritania
Result
Areakm² · Higher wins ↑
33,851
1,030,700
Would lose
Populationpeople · Higher wins ↑
2,457,783
5,022,441
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,751
6,972
Would win
Densityper km² · Higher wins ↑
72.6
4.9
Would win
Highest peakm · Higher wins ↑
430
915
Would lose
Coastlinekm · Higher wins ↑
0
754
Would lose
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
19.4° N
Would lose
13
Round 13Won23 countries · 3 lives left
SingaporevsVenezuela
Density: 8,230.4 vs 31.0 per km² · Higher wins ↑
Conquered Venezuela.
Other category comparisons 1 other winning choice
All eight categories for Singapore against Venezuela
Category
Singapore
Venezuela
Result
Areakm² · Higher wins ↑
719
912,050
Would lose
Populationpeople · Higher wins ↑
5,917,648
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
144,728
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
8,230.4
31.0
Would win
Highest peakm · Higher wins ↑
166
4,978
Would lose
Coastlinekm · Higher wins ↑
193
2,800
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
7.2° N
Would win
14
Round 14Lost22 countries · 2 lives left
HondurasvsIraq
Wealth per person: 7,184 vs 14,665 int’l $ · Higher wins ↑
Returned to the world: Honduras.
Other category comparisons 2 other winning choices
All eight categories for Honduras against Iraq
Category
Honduras
Iraq
Result
Areakm² · Higher wins ↑
112,090
438,317
Would lose
Populationpeople · Higher wins ↑
10,644,851
45,074,049
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
7,184
14,665
Would lose
Densityper km² · Higher wins ↑
95.0
102.8
Would lose
Highest peakm · Higher wins ↑
2,870
3,611
Would lose
Coastlinekm · Higher wins ↑
823
58
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
14.7° N
33.3° N
Would win
15
Round 15Won23 countries · 2 lives left
IcelandvsSouth Korea
Wealth per person: 82,257 vs 57,430 int’l $ · Higher wins ↑
Conquered South Korea.
Other category comparisons 3 other winning choices
All eight categories for Iceland against South Korea
Category
Iceland
South Korea
Result
Areakm² · Higher wins ↑
103,000
99,720
Would win
Populationpeople · Higher wins ↑
385,663
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
57,430
Would win
Densityper km² · Higher wins ↑
3.7
518.6
Would lose
Highest peakm · Higher wins ↑
2,110
1,950
Would win
Coastlinekm · Higher wins ↑
4,970
2,413
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
36.3° N
Would lose
16
Round 16Lost22 countries · 1 life left
El SalvadorvsColombia
Proximity to equator: 13.9° N vs 3.4° N from the equator · Closer wins ↓
Returned to the world: El Salvador.
Other category comparisons 2 other winning choices
All eight categories for El Salvador against Colombia
Category
El Salvador
Colombia
Result
Areakm² · Higher wins ↑
21,041
1,138,910
Would lose
Populationpeople · Higher wins ↑
6,309,624
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑
12,667
21,282
Would lose
Densityper km² · Higher wins ↑
299.9
45.9
Would win
Highest peakm · Higher wins ↑
2,730
5,730
Would lose
Coastlinekm · Higher wins ↑
307
3,208
Would lose
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.9° N
3.4° N
Would lose
17
Round 17Won23 countries · 1 life left
OmanvsGuinea-Bissau
Wealth per person: 41,980 vs 2,956 int’l $ · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 4 other winning choices
All eight categories for Oman against Guinea-Bissau
Category
Oman
Guinea-Bissau
Result
Areakm² · Higher wins ↑
309,500
36,125
Would win
Populationpeople · Higher wins ↑
5,049,269
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
41,980
2,956
Would win
Densityper km² · Higher wins ↑
16.3
59.6
Would lose
Highest peakm · Higher wins ↑
3,004
277
Would win
Coastlinekm · Higher wins ↑
2,092
350
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
12.1° N
Would lose
18
Round 18Won24 countries · 1 life left
South SudanvsDenmark
Area: 644,329 vs 43,094 km² · Higher wins ↑
Conquered Denmark.
Other category comparisons 4 other winning choices
All eight categories for South Sudan against Denmark
Category
South Sudan
Denmark
Result
Areakm² · Higher wins ↑ · Chosen
644,329
43,094
Would win
Populationpeople · Higher wins ↑
11,483,374
5,946,952
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
77,425
Unavailable
Densityper km² · Higher wins ↑
17.8
138.0
Would lose
Highest peakm · Higher wins ↑
3,187
171
Would win
Coastlinekm · Higher wins ↑
0
7,314
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
55.9° N
Would win
19
Round 19Lost23 countries · 0 lives left
RomaniavsMali
Area: 238,391 vs 1,240,192 km² · Higher wins ↑
Returned to the world: Romania.
Other category comparisons 4 other winning choices
All eight categories for Romania against Mali
Category
Romania
Mali
Result
Areakm² · Higher wins ↑ · Chosen
238,391
1,240,192
Would lose
Populationpeople · Higher wins ↑
19,061,062
23,769,127
Would lose
Wealth per personint’l $ · Higher wins ↑
45,982
3,178
Would win
Densityper km² · Higher wins ↑
80.0
19.2
Would win
Highest peakm · Higher wins ↑
2,544
1,155
Would win
Coastlinekm · Higher wins ↑
225
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓