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Untimed expedition · Data edition 01051846d672
135Wins
4Losses
4Ties
Explore the final empire · 147 countries
No countries match your search.
The path through the world
One choice at a time.
143 rounds
Where it began · 12 countries
Singapore · Türkiye · Gabon · Australia · Tajikistan · Jordan · Bulgaria · Czechia · Ethiopia · Cuba · Angola · Nepal
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
SingaporevsTanzania
Density: 8,230.4 vs 70.3 per km² · Higher wins ↑
Conquered Tanzania.
Other category comparisons 2 other winning choices
All eight categories for Singapore against Tanzania
Category
Singapore
Tanzania
Result
Areakm² · Higher wins ↑
719
947,300
Would lose
Populationpeople · Higher wins ↑
5,917,648
66,617,606
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
4,022
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
70.3
Would win
Highest peakm · Higher wins ↑
166
5,895
Would lose
Coastlinekm · Higher wins ↑
193
1,424
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
5.5° S
Would win
2
Round 2Won14 countries · 4 lives left
TürkiyevsVanuatu
Area: 783,562 vs 12,189 km² · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 5 other winning choices
All eight categories for Türkiye against Vanuatu
Category
Türkiye
Vanuatu
Result
Areakm² · Higher wins ↑ · Chosen
783,562
12,189
Would win
Populationpeople · Higher wins ↑
85,325,965
320,409
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
4,202
Would win
Densityper km² · Higher wins ↑
108.9
26.3
Would win
Highest peakm · Higher wins ↑
5,137
1,877
Would win
Coastlinekm · Higher wins ↑
7,200
2,528
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
15.4° S
Would lose
3
Round 3Won15 countries · 4 lives left
GabonvsSierra Leone
Area: 267,667 vs 71,740 km² · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 3 other winning choices
All eight categories for Gabon against Sierra Leone
Category
Gabon
Sierra Leone
Result
Areakm² · Higher wins ↑ · Chosen
267,667
71,740
Would win
Populationpeople · Higher wins ↑
2,484,789
8,460,512
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
3,371
Would win
Densityper km² · Higher wins ↑
9.3
117.9
Would lose
Highest peakm · Higher wins ↑
1,050
1,948
Would lose
Coastlinekm · Higher wins ↑
885
402
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
0.6° S
8.7° N
Would win
4
Round 4Won16 countries · 4 lives left
AustraliavsTimor-Leste
Area: 7,741,220 vs 14,874 km² · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 3 other winning choices
All eight categories for Australia against Timor-Leste
Category
Australia
Timor-Leste
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
14,874
Would win
Populationpeople · Higher wins ↑
26,659,922
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑
72,273
4,811
Would win
Densityper km² · Higher wins ↑
3.4
93.1
Would lose
Highest peakm · Higher wins ↑
2,228
2,963
Would lose
Coastlinekm · Higher wins ↑
25,760
706
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
8.9° S
Would lose
5
Round 5Won17 countries · 4 lives left
TajikistanvsSouth Sudan
Highest peak: 7,495 vs 3,187 m · Higher wins ↑
Conquered South Sudan.
Other category comparisons 1 other winning choice
All eight categories for Tajikistan against South Sudan
Category
Tajikistan
South Sudan
Result
Areakm² · Higher wins ↑
144,100
644,329
Would lose
Populationpeople · Higher wins ↑
10,389,799
11,483,374
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
4,968
Unavailable
Unavailable
Densityper km² · Higher wins ↑
72.1
17.8
Would win
Highest peakm · Higher wins ↑ · Chosen
7,495
3,187
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
7.1° N
Would lose
6
Round 6Won18 countries · 4 lives left
JordanvsZimbabwe
Coastline: 26 vs 0 km · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 2 other winning choices
All eight categories for Jordan against Zimbabwe
Category
Jordan
Zimbabwe
Result
Areakm² · Higher wins ↑
89,342
390,757
Would lose
Populationpeople · Higher wins ↑
11,439,213
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑
11,451
5,796
Would win
Densityper km² · Higher wins ↑
128.0
41.8
Would win
Highest peakm · Higher wins ↑
1,854
2,592
Would lose
Coastlinekm · Higher wins ↑ · Chosen
26
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
30.7° N
19.0° S
Would lose
7
Round 7Won19 countries · 4 lives left
BulgariavsSri Lanka
Wealth per person: 38,829 vs 14,512 int’l $ · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 2 other winning choices
All eight categories for Bulgaria against Sri Lanka
Category
Bulgaria
Sri Lanka
Result
Areakm² · Higher wins ↑
110,879
65,610
Would win
Populationpeople · Higher wins ↑
6,446,596
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
38,829
14,512
Would win
Densityper km² · Higher wins ↑
58.1
335.9
Would lose
Highest peakm · Higher wins ↑
2,925
2,524
Would win
Coastlinekm · Higher wins ↑
354
1,340
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
7.1° N
Would lose
8
Round 8Lost18 countries · 3 lives left
CzechiavsSyria
Highest peak: 1,602 vs 2,814 m · Higher wins ↑
Returned to the world: Czechia.
Other category comparisons 1 other winning choice
All eight categories for Czechia against Syria
Category
Czechia
Syria
Result
Areakm² · Higher wins ↑
78,867
187,437
Would lose
Populationpeople · Higher wins ↑
10,864,042
23,594,623
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
56,062
Unavailable
Unavailable
Densityper km² · Higher wins ↑
137.8
125.9
Would win
Highest peakm · Higher wins ↑ · Chosen
1,602
2,814
Would lose
Coastlinekm · Higher wins ↑
0
193
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
35.0° N
Would lose
9
Round 9Won19 countries · 3 lives left
EthiopiavsItaly
Population: 128,691,692 vs 58,984,216 people · Higher wins ↑
Conquered Italy.
Other category comparisons 3 other winning choices
All eight categories for Ethiopia against Italy
Category
Ethiopia
Italy
Result
Areakm² · Higher wins ↑
1,104,300
301,340
Would win
Populationpeople · Higher wins ↑ · Chosen
128,691,692
58,984,216
Would win
Wealth per personint’l $ · Higher wins ↑
3,063
60,350
Would lose
Densityper km² · Higher wins ↑
116.5
195.7
Would lose
Highest peakm · Higher wins ↑
4,550
4,748
Would lose
Coastlinekm · Higher wins ↑
0
7,600
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.5° N
45.1° N
Would win
10
Round 10Won20 countries · 3 lives left
CubavsZambia
Coastline: 3,735 vs 0 km · Higher wins ↑
Conquered Zambia.
Other category comparisons 1 other winning choice
All eight categories for Cuba against Zambia
Category
Cuba
Zambia
Result
Areakm² · Higher wins ↑
110,860
752,618
Would lose
Populationpeople · Higher wins ↑
11,019,931
20,723,965
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
Unavailable
4,080
Unavailable
Densityper km² · Higher wins ↑
99.4
27.5
Would win
Highest peakm · Higher wins ↑
1,974
2,330
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,735
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
20.6° N
14.7° S
Would lose
11
Round 11Won21 countries · 3 lives left
AngolavsAfghanistan
Proximity to equator: 13.2° S vs 34.3° N from the equator · Closer wins ↓
Conquered Afghanistan.
Other category comparisons 3 other winning choices
All eight categories for Angola against Afghanistan
Category
Angola
Afghanistan
Result
Areakm² · Higher wins ↑
1,246,700
652,230
Would win
Populationpeople · Higher wins ↑
36,749,906
41,454,761
Would lose
Wealth per personint’l $ · Higher wins ↑
9,550
2,204
Would win
Densityper km² · Higher wins ↑
29.5
63.6
Would lose
Highest peakm · Higher wins ↑
2,620
7,492
Would lose
Coastlinekm · Higher wins ↑
1,600
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.2° S
34.3° N
Would win
12
Round 12Won22 countries · 3 lives left
NepalvsJamaica
Area: 147,181 vs 10,991 km² · Higher wins ↑
Conquered Jamaica.
Other category comparisons 2 other winning choices
All eight categories for Nepal against Jamaica
Category
Nepal
Jamaica
Result
Areakm² · Higher wins ↑ · Chosen
147,181
10,991
Would win
Populationpeople · Higher wins ↑
29,694,614
2,839,786
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
12,661
Would lose
Densityper km² · Higher wins ↑
201.8
258.4
Would lose
Highest peakm · Higher wins ↑
8,849
2,256
Would win
Coastlinekm · Higher wins ↑
0
1,022
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
18.1° N
Would lose
13
Round 13Won23 countries · 3 lives left
SingaporevsPapua New Guinea
Density: 8,230.4 vs 22.4 per km² · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 2 other winning choices
All eight categories for Singapore against Papua New Guinea
Category
Singapore
Papua New Guinea
Result
Areakm² · Higher wins ↑
719
462,840
Would lose
Populationpeople · Higher wins ↑
5,917,648
10,389,635
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
4,672
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
22.4
Would win
Highest peakm · Higher wins ↑
166
4,509
Would lose
Coastlinekm · Higher wins ↑
193
5,152
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
5.5° S
Would win
14
Round 14Won24 countries · 3 lives left
TanzaniavsEl Salvador
Population: 66,617,606 vs 6,309,624 people · Higher wins ↑
Conquered El Salvador.
Other category comparisons 4 other winning choices
All eight categories for Tanzania against El Salvador
Category
Tanzania
El Salvador
Result
Areakm² · Higher wins ↑
947,300
21,041
Would win
Populationpeople · Higher wins ↑ · Chosen
66,617,606
6,309,624
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
12,667
Would lose
Densityper km² · Higher wins ↑
70.3
299.9
Would lose
Highest peakm · Higher wins ↑
5,895
2,730
Would win
Coastlinekm · Higher wins ↑
1,424
307
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
13.9° N
Would win
15
Round 15Won25 countries · 3 lives left
TürkiyevsAustria
Area: 783,562 vs 83,871 km² · Higher wins ↑
Conquered Austria.
Other category comparisons 4 other winning choices
All eight categories for Türkiye against Austria
Category
Türkiye
Austria
Result
Areakm² · Higher wins ↑ · Chosen
783,562
83,871
Would win
Populationpeople · Higher wins ↑
85,325,965
9,131,761
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
74,261
Would lose
Densityper km² · Higher wins ↑
108.9
108.9
Would tie
Highest peakm · Higher wins ↑
5,137
3,798
Would win
Coastlinekm · Higher wins ↑
7,200
0
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
47.7° N
Would win
16
Round 16Won26 countries · 3 lives left
VanuatuvsCameroon
Coastline: 2,528 vs 402 km · Higher wins ↑
Conquered Cameroon.
Other category comparisons 1 other winning choice
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 ↑
26.3
59.7
Would lose
Highest peakm · Higher wins ↑
1,877
4,045
Would lose
Coastlinekm · Higher wins ↑ · Chosen
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
17
Round 17Won27 countries · 3 lives left
GabonvsIceland
Population: 2,484,789 vs 385,663 people · Higher wins ↑
Conquered Iceland.
Other category comparisons 3 other winning choices
All eight categories for Gabon against Iceland
Category
Gabon
Iceland
Result
Areakm² · Higher wins ↑
267,667
103,000
Would win
Populationpeople · Higher wins ↑ · Chosen
2,484,789
385,663
Would win
Wealth per personint’l $ · Higher wins ↑
20,773
82,257
Would lose
Densityper km² · Higher wins ↑
9.3
3.7
Would win
Highest peakm · Higher wins ↑
1,050
2,110
Would lose
Coastlinekm · Higher wins ↑
885
4,970
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
0.6° S
64.7° N
Would win
18
Round 18Won28 countries · 3 lives left
Sierra LeonevsBenin
Coastline: 402 vs 121 km · Higher wins ↑
Conquered Benin.
Other category comparisons 2 other winning choices
All eight categories for Sierra Leone against Benin
Category
Sierra Leone
Benin
Result
Areakm² · Higher wins ↑
71,740
112,622
Would lose
Populationpeople · Higher wins ↑
8,460,512
14,111,034
Would lose
Wealth per personint’l $ · Higher wins ↑
3,371
4,133
Would lose
Densityper km² · Higher wins ↑
117.9
125.3
Would lose
Highest peakm · Higher wins ↑
1,948
675
Would win
Coastlinekm · Higher wins ↑ · Chosen
402
121
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.7° N
10.4° N
Would win
19
Round 19Won29 countries · 3 lives left
AustraliavsMadagascar
Area: 7,741,220 vs 587,041 km² · Higher wins ↑
Conquered Madagascar.
Other category comparisons 2 other winning choices
All eight categories for Australia against Madagascar
Category
Australia
Madagascar
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
587,041
Would win
Populationpeople · Higher wins ↑
26,659,922
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑
72,273
1,810
Would win
Densityper km² · Higher wins ↑
3.4
53.1
Would lose
Highest peakm · Higher wins ↑
2,228
2,876
Would lose
Coastlinekm · Higher wins ↑
25,760
4,828
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
18.4° S
Would lose
20
Round 20Won30 countries · 3 lives left
Timor-LestevsThailand
Proximity to equator: 8.9° S vs 15.5° N from the equator · Closer wins ↓
Conquered Thailand.
Other category comparisons 2 other winning choices
All eight categories for Timor-Leste against Thailand
Category
Timor-Leste
Thailand
Result
Areakm² · Higher wins ↑
14,874
513,120
Would lose
Populationpeople · Higher wins ↑
1,384,286
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
23,598
Would lose
Densityper km² · Higher wins ↑
93.1
139.7
Would lose
Highest peakm · Higher wins ↑
2,963
2,565
Would win
Coastlinekm · Higher wins ↑
706
3,219
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen