Sign up to keep your history → Your games from this browser come with you. Confirm your email to add eligible scores to the highscores.
Untimed expedition · Data edition 01051846d672
37Wins
4Losses
0Ties
Explore the final empire · 45 countries
No countries match your search.
The path through the world
One choice at a time.
41 rounds
Where it began · 12 countries
Togo · Bahamas · Albania · Peru · Turkmenistan · Singapore · Russia · United Kingdom · Lesotho · Armenia · Guinea-Bissau · Lithuania
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
21
Round 21Won31 countries · 3 lives left
TurkmenistanvsAngola
Wealth per person: 19,645 vs 9,550 int’l $ · Higher wins ↑
Conquered Angola.
Other category comparisons 2 other winning choices
All eight categories for Turkmenistan against Angola
Category
Turkmenistan
Angola
Result
Areakm² · Higher wins ↑
488,100
1,246,700
Would lose
Populationpeople · Higher wins ↑
7,364,438
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
19,645
9,550
Would win
Densityper km² · Higher wins ↑
15.1
29.5
Would lose
Highest peakm · Higher wins ↑
3,139
2,620
Would win
Coastlinekm · Higher wins ↑
0
1,600
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
13.2° S
Would lose
22
Round 22Won32 countries · 3 lives left
Sri LankavsTimor-Leste
Population: 22,037,000 vs 1,384,286 people · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 6 other winning choices
All eight categories for Sri Lanka against Timor-Leste
Category
Sri Lanka
Timor-Leste
Result
Areakm² · Higher wins ↑
65,610
14,874
Would win
Populationpeople · Higher wins ↑ · Chosen
22,037,000
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑
14,512
4,811
Would win
Densityper km² · Higher wins ↑
335.9
93.1
Would win
Highest peakm · Higher wins ↑
2,524
2,963
Would lose
Coastlinekm · Higher wins ↑
1,340
706
Would win
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
8.9° S
Would win
23
Round 23Won33 countries · 3 lives left
SingaporevsEthiopia
Density: 8,230.4 vs 116.5 per km² · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 3 other winning choices
All eight categories for Singapore against Ethiopia
Category
Singapore
Ethiopia
Result
Areakm² · Higher wins ↑
719
1,104,300
Would lose
Populationpeople · Higher wins ↑
5,917,648
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
3,063
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
116.5
Would win
Highest peakm · Higher wins ↑
166
4,550
Would lose
Coastlinekm · Higher wins ↑
193
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
8.5° N
Would win
24
Round 24Won34 countries · 3 lives left
VenezuelavsSyria
Proximity to equator: 7.2° N vs 35.0° N from the equator · Closer wins ↓
Conquered Syria.
Other category comparisons 4 other winning choices
All eight categories for Venezuela against Syria
Category
Venezuela
Syria
Result
Areakm² · Higher wins ↑
912,050
187,437
Would win
Populationpeople · Higher wins ↑
28,300,854
23,594,623
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.. Syria: World Bank has no 2023 figure for Syria.
Unavailable
Unavailable
Unavailable
Densityper km² · Higher wins ↑
31.0
125.9
Would lose
Highest peakm · Higher wins ↑
4,978
2,814
Would win
Coastlinekm · Higher wins ↑
2,800
193
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.2° N
35.0° N
Would win
25
Round 25Won35 countries · 3 lives left
RussiavsIraq
Population: 143,826,130 vs 45,074,049 people · Higher wins ↑
Conquered Iraq.
Other category comparisons 4 other winning choices
All eight categories for Russia against Iraq
Category
Russia
Iraq
Result
Areakm² · Higher wins ↑
17,098,242
438,317
Would win
Populationpeople · Higher wins ↑ · Chosen
143,826,130
45,074,049
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
14,665
Would win
Densityper km² · Higher wins ↑
8.4
102.8
Would lose
Highest peakm · Higher wins ↑
5,642
3,611
Would win
Coastlinekm · Higher wins ↑
37,653
58
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
33.3° N
Would lose
26
Round 26Won36 countries · 3 lives left
MongoliavsBolivia
Area: 1,564,116 vs 1,098,581 km² · Higher wins ↑
Conquered Bolivia.
Other category comparisons 1 other winning choice
All eight categories for Mongolia against Bolivia
Category
Mongolia
Bolivia
Result
Areakm² · Higher wins ↑ · Chosen
1,564,116
1,098,581
Would win
Populationpeople · Higher wins ↑
3,481,145
12,244,159
Would lose
Wealth per personint’l $ · Higher wins ↑
18,020
12,903
Would win
Densityper km² · Higher wins ↑
2.2
11.1
Would lose
Highest peakm · Higher wins ↑
4,374
6,542
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
16.7° S
Would lose
27
Round 27Won37 countries · 3 lives left
United KingdomvsBrazil
Density: 281.3 vs 24.8 per km² · Higher wins ↑
Conquered Brazil.
Other category comparisons 2 other winning choices
All eight categories for United Kingdom against Brazil
Category
United Kingdom
Brazil
Result
Areakm² · Higher wins ↑
243,610
8,515,770
Would lose
Populationpeople · Higher wins ↑
68,526,000
211,140,729
Would lose
Wealth per personint’l $ · Higher wins ↑
60,787
21,193
Would win
Densityper km² · Higher wins ↑ · Chosen
281.3
24.8
Would win
Highest peakm · Higher wins ↑
1,345
2,994
Would lose
Coastlinekm · Higher wins ↑
12,429
7,491
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
12.6° S
Would lose
28
Round 28Won38 countries · 3 lives left
ChinavsSomalia
Population: 1,410,710,000 vs 18,358,615 people · Higher wins ↑
Conquered Somalia.
Other category comparisons 5 other winning choices
All eight categories for China against Somalia
Category
China
Somalia
Result
Areakm² · Higher wins ↑
9,596,960
637,657
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
18,358,615
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
1,557
Would win
Densityper km² · Higher wins ↑
147.0
28.8
Would win
Highest peakm · Higher wins ↑
8,849
2,460
Would win
Coastlinekm · Higher wins ↑
14,500
3,025
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
2.6° N
Would lose
29
Round 29Won39 countries · 3 lives left
LesothovsBahrain
Highest peak: 3,482 vs 135 m · Higher wins ↑
Conquered Bahrain.
Other category comparisons 3 other winning choices
All eight categories for Lesotho against Bahrain
Category
Lesotho
Bahrain
Result
Areakm² · Higher wins ↑
30,355
760
Would win
Populationpeople · Higher wins ↑
2,311,472
1,577,059
Would win
Wealth per personint’l $ · Higher wins ↑
2,880
64,224
Would lose
Densityper km² · Higher wins ↑
76.1
2,075.1
Would lose
Highest peakm · Higher wins ↑ · Chosen
3,482
135
Would win
Coastlinekm · Higher wins ↑
0
161
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.4° S
26.0° N
Would lose
30
Round 30Won40 countries · 3 lives left
Solomon IslandsvsGambia
Coastline: 5,313 vs 80 km · Higher wins ↑
Conquered Gambia.
Other category comparisons 3 other winning choices
All eight categories for Solomon Islands against Gambia
Category
Solomon Islands
Gambia
Result
Areakm² · Higher wins ↑
28,896
11,300
Would win
Populationpeople · Higher wins ↑
800,005
2,697,845
Would lose
Wealth per personint’l $ · Higher wins ↑
2,599
3,292
Would lose
Densityper km² · Higher wins ↑
27.7
238.7
Would lose
Highest peakm · Higher wins ↑
2,335
63
Would win
Coastlinekm · Higher wins ↑ · Chosen
5,313
80
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
9.6° S
13.6° N
Would win
31
Round 31Won41 countries · 3 lives left
ArmeniavsIran
Density: 99.7 vs 55.0 per km² · Higher wins ↑
Conquered Iran.
Other category comparisons 1 other winning choice
All eight categories for Armenia against Iran
Category
Armenia
Iran
Result
Areakm² · Higher wins ↑
29,743
1,648,195
Would lose
Populationpeople · Higher wins ↑
2,964,300
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑
21,552
18,933
Would win
Densityper km² · Higher wins ↑ · Chosen
99.7
55.0
Would win
Highest peakm · Higher wins ↑
4,090
5,625
Would lose
Coastlinekm · Higher wins ↑
0
2,440
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.6° N
32.1° N
Would lose
32
Round 32Won42 countries · 3 lives left
KuwaitvsLatvia
Density: 272.4 vs 29.2 per km² · Higher wins ↑
Conquered Latvia.
Other category comparisons 5 other winning choices
All eight categories for Kuwait against Latvia
Category
Kuwait
Latvia
Result
Areakm² · Higher wins ↑
17,818
64,589
Would lose
Populationpeople · Higher wins ↑
4,853,420
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
53,083
42,784
Would win
Densityper km² · Higher wins ↑ · Chosen
272.4
29.2
Would win
Highest peakm · Higher wins ↑
300
312
Would lose
Coastlinekm · Higher wins ↑
499
498
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.4° N
56.6° N
Would win
33
Round 33Lost41 countries · 2 lives left
Guinea-BissauvsMalaysia
Proximity to equator: 12.1° N vs 4.4° N from the equator · Closer wins ↓
Returned to the world: Guinea-Bissau.
Other category comparisons 0 other winning choices
All eight categories for Guinea-Bissau against Malaysia
Category
Guinea-Bissau
Malaysia
Result
Areakm² · Higher wins ↑
36,125
329,847
Would lose
Populationpeople · Higher wins ↑
2,153,339
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
36,497
Would lose
Densityper km² · Higher wins ↑
59.6
106.5
Would lose
Highest peakm · Higher wins ↑
277
4,095
Would lose
Coastlinekm · Higher wins ↑
350
4,675
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
4.4° N
Would lose
34
Round 34Won42 countries · 2 lives left
DjiboutivsUruguay
Density: 49.7 vs 19.2 per km² · Higher wins ↑
Conquered Uruguay.
Other category comparisons 2 other winning choices
All eight categories for Djibouti against Uruguay
Category
Djibouti
Uruguay
Result
Areakm² · Higher wins ↑
23,200
176,215
Would lose
Populationpeople · Higher wins ↑
1,152,944
3,388,081
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
34,546
Would lose
Densityper km² · Higher wins ↑ · Chosen
49.7
19.2
Would win
Highest peakm · Higher wins ↑
2,021
514
Would win
Coastlinekm · Higher wins ↑
314
660
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
11.4° N
32.9° S
Would win
35
Round 35Won43 countries · 2 lives left
LithuaniavsMoldova
Wealth per person: 52,720 vs 17,751 int’l $ · Higher wins ↑
Conquered Moldova.
Other category comparisons 3 other winning choices
All eight categories for Lithuania against Moldova
Category
Lithuania
Moldova
Result
Areakm² · Higher wins ↑
65,300
33,851
Would win
Populationpeople · Higher wins ↑
2,871,585
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
17,751
Would win
Densityper km² · Higher wins ↑
44.0
72.6
Would lose
Highest peakm · Higher wins ↑
294
430
Would lose
Coastlinekm · Higher wins ↑
90
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
47.5° N
Would lose
36
Round 36Won44 countries · 2 lives left
PalestinevsCôte d’Ivoire
Density: 830.5 vs 96.6 per km² · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 1 other winning choice
All eight categories for Palestine against Côte d’Ivoire
Category
Palestine
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
6,220
322,463
Would lose
Populationpeople · Higher wins ↑
5,165,775
31,165,654
Would lose
Wealth per personint’l $ · Higher wins ↑
6,179
7,243
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
96.6
Would win
Highest peakm · Higher wins ↑
1,020
1,752
Would lose
Coastlinekm · Higher wins ↑
40
515
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
7.5° N
Would lose
37
Round 37Won45 countries · 2 lives left
TogovsThailand
Proximity to equator: 8.9° N vs 15.5° N from the equator · Closer wins ↓
Conquered Thailand.
Other category comparisons 2 other winning choices
All eight categories for Togo against Thailand
Category
Togo
Thailand
Result
Areakm² · Higher wins ↑
56,785
513,120
Would lose
Populationpeople · Higher wins ↑
8,223,850
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
23,598
Would lose
Densityper km² · Higher wins ↑
144.8
139.7
Would win
Highest peakm · Higher wins ↑
986
2,565
Would lose
Coastlinekm · Higher wins ↑
56
3,219
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° N
15.5° N
Would win
38
Round 38Won46 countries · 2 lives left
North KoreavsCzechia
Coastline: 2,495 vs 0 km · Higher wins ↑
Conquered Czechia.
Other category comparisons 5 other winning choices
All eight categories for North Korea against Czechia
Category
North Korea
Czechia
Result
Areakm² · Higher wins ↑
120,538
78,867
Would win
Populationpeople · Higher wins ↑
26,418,204
10,864,042
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
56,062
Unavailable
Densityper km² · Higher wins ↑
219.2
137.8
Would win
Highest peakm · Higher wins ↑
2,744
1,602
Would win
Coastlinekm · Higher wins ↑ · Chosen
2,495
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
49.8° N
Would win
39
Round 39Won47 countries · 2 lives left
KyrgyzstanvsEswatini
Area: 199,951 vs 17,364 km² · Higher wins ↑
Conquered Eswatini.
Other category comparisons 2 other winning choices
All eight categories for Kyrgyzstan against Eswatini
Category
Kyrgyzstan
Eswatini
Result
Areakm² · Higher wins ↑ · Chosen
199,951
17,364
Would win
Populationpeople · Higher wins ↑
7,099,750
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
7,304
11,309
Would lose
Densityper km² · Higher wins ↑
35.5
70.9
Would lose
Highest peakm · Higher wins ↑
7,439
1,862
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.7° N
26.6° S
Would lose
40
Round 40Lost46 countries · 1 life left
TunisiavsPortugal
Density: 74.6 vs 114.9 per km² · Higher wins ↑
Returned to the world: Tunisia.
Other category comparisons 3 other winning choices
All eight categories for Tunisia against Portugal
Category
Tunisia
Portugal
Result
Areakm² · Higher wins ↑
163,610
92,090
Would win
Populationpeople · Higher wins ↑
12,200,431
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
14,052
49,800
Would lose
Densityper km² · Higher wins ↑ · Chosen
74.6
114.9
Would lose
Highest peakm · Higher wins ↑
1,544
2,351
Would lose
Coastlinekm · Higher wins ↑
1,148
1,793
Would lose
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Turkmenistanvs
Angola
Sri Lanka
Timor-Leste
Singapore
Ethiopia
Venezuela
Syria
Russia
Iraq
Mongolia
Bolivia
United Kingdom
Brazil
China
Somalia
Lesotho
Bahrain
Solomon Islands
Gambia
Armenia
Iran
Kuwait
Latvia
Guinea-Bissau
Malaysia
Djibouti
Uruguay
Lithuania
Moldova
Palestine
Côte d’Ivoire
Togo
Thailand
North Korea
Czechia
Kyrgyzstan
Eswatini
Tunisia
Portugal