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Untimed expedition · Data edition 01051846d672
158Wins
4Losses
1Ties
Explore the final empire · 167 countries
No countries match your search.
The path through the world
One choice at a time.
163 rounds
Where it began · 12 countries
India · Mexico · Serbia · Gabon · Türkiye · El Salvador · Ecuador · Guinea · Japan · Sri Lanka · Guinea-Bissau · Togo
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 21Won33 countries · 4 lives left
TürkiyevsSouth Sudan
Population: 85,325,965 vs 11,483,374 people · Higher wins ↑
Conquered South Sudan.
Other category comparisons 4 other winning choices
All eight categories for Türkiye against South Sudan
Category
Türkiye
South Sudan
Result
Areakm² · Higher wins ↑
783,562
644,329
Would win
Populationpeople · Higher wins ↑ · Chosen
85,325,965
11,483,374
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
43,196
Unavailable
Unavailable
Densityper km² · Higher wins ↑
108.9
17.8
Would win
Highest peakm · Higher wins ↑
5,137
3,187
Would win
Coastlinekm · Higher wins ↑
7,200
0
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
7.1° N
Would lose
22
Round 22Won34 countries · 4 lives left
MoroccovsArgentina
Density: 84.5 vs 16.4 per km² · Higher wins ↑
Conquered Argentina.
Other category comparisons 0 other winning choices
All eight categories for Morocco against Argentina
Category
Morocco
Argentina
Result
Areakm² · Higher wins ↑
446,550
2,780,400
Would lose
Populationpeople · Higher wins ↑
37,712,505
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑
9,903
30,246
Would lose
Densityper km² · Higher wins ↑ · Chosen
84.5
16.4
Would win
Highest peakm · Higher wins ↑
4,165
6,962
Would lose
Coastlinekm · Higher wins ↑
1,835
4,989
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
31.4° S
Would lose
23
Round 23Won35 countries · 4 lives left
El SalvadorvsAndorra
Area: 21,041 vs 468 km² · Higher wins ↑
Conquered Andorra.
Other category comparisons 5 other winning choices
All eight categories for El Salvador against Andorra
Category
El Salvador
Andorra
Result
Areakm² · Higher wins ↑ · Chosen
21,041
468
Would win
Populationpeople · Higher wins ↑
6,309,624
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
12,667
71,790
Would lose
Densityper km² · Higher wins ↑
299.9
172.8
Would win
Highest peakm · Higher wins ↑
2,730
2,946
Would lose
Coastlinekm · Higher wins ↑
307
0
Would win
Flag colourscolours · Higher wins ↑
9
7
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.9° N
42.5° N
Would win
24
Round 24Won36 countries · 4 lives left
IranvsFiji
Area: 1,648,195 vs 18,274 km² · Higher wins ↑
Conquered Fiji.
Other category comparisons 5 other winning choices
All eight categories for Iran against Fiji
Category
Iran
Fiji
Result
Areakm² · Higher wins ↑ · Chosen
1,648,195
18,274
Would win
Populationpeople · Higher wins ↑
90,608,707
924,145
Would win
Wealth per personint’l $ · Higher wins ↑
18,933
14,656
Would win
Densityper km² · Higher wins ↑
55.0
50.6
Would win
Highest peakm · Higher wins ↑
5,625
1,324
Would win
Coastlinekm · Higher wins ↑
2,440
1,129
Would win
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
17.8° S
Would lose
25
Round 25Won37 countries · 4 lives left
EcuadorvsDominican Republic
Highest peak: 6,267 vs 3,098 m · Higher wins ↑
Conquered Dominican Republic.
Other category comparisons 5 other winning choices
All eight categories for Ecuador against Dominican Republic
Category
Ecuador
Dominican Republic
Result
Areakm² · Higher wins ↑
283,561
48,670
Would win
Populationpeople · Higher wins ↑
17,980,083
11,331,265
Would win
Wealth per personint’l $ · Higher wins ↑
15,907
25,861
Would lose
Densityper km² · Higher wins ↑
63.4
232.8
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,267
3,098
Would win
Coastlinekm · Higher wins ↑
2,237
1,288
Would win
Flag colourscolours · Higher wins ↑
11
6
Would win
Proximity to equatorfrom the equator · Closer wins ↓
1.2° S
19.1° N
Would win
26
Round 26Won38 countries · 4 lives left
LibyavsSlovenia
Area: 1,759,540 vs 20,273 km² · Higher wins ↑
Conquered Slovenia.
Other category comparisons 3 other winning choices
All eight categories for Libya against Slovenia
Category
Libya
Slovenia
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
20,273
Would win
Populationpeople · Higher wins ↑
7,305,659
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
56,151
Would lose
Densityper km² · Higher wins ↑
4.2
104.6
Would lose
Highest peakm · Higher wins ↑
2,267
2,864
Would lose
Coastlinekm · Higher wins ↑
1,770
46.6
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
46.0° N
Would win
27
Round 27Won39 countries · 4 lives left
GuineavsNorth Korea
Proximity to equator: 10.7° N vs 39.9° N from the equator · Closer wins ↓
Conquered North Korea.
Other category comparisons 1 other winning choice
All eight categories for Guinea against North Korea
Category
Guinea
North Korea
Result
Areakm² · Higher wins ↑
245,857
120,538
Would win
Populationpeople · Higher wins ↑
14,405,468
26,418,204
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
4,337
Unavailable
Unavailable
Densityper km² · Higher wins ↑
58.6
219.2
Would lose
Highest peakm · Higher wins ↑
1,752
2,744
Would lose
Coastlinekm · Higher wins ↑
320
2,495
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.7° N
39.9° N
Would win
28
Round 28Won40 countries · 4 lives left
South KoreavsLiberia
Population: 51,712,619 vs 5,493,031 people · Higher wins ↑
Conquered Liberia.
Other category comparisons 5 other winning choices
All eight categories for South Korea against Liberia
Category
South Korea
Liberia
Result
Areakm² · Higher wins ↑
99,720
111,369
Would lose
Populationpeople · Higher wins ↑ · Chosen
51,712,619
5,493,031
Would win
Wealth per personint’l $ · Higher wins ↑
57,430
1,796
Would win
Densityper km² · Higher wins ↑
518.6
49.3
Would win
Highest peakm · Higher wins ↑
1,950
1,447
Would win
Coastlinekm · Higher wins ↑
2,413
579
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
7.0° N
Would lose
29
Round 29Won41 countries · 4 lives left
JapanvsHonduras
Population: 124,516,650 vs 10,644,851 people · Higher wins ↑
Conquered Honduras.
Other category comparisons 5 other winning choices
All eight categories for Japan against Honduras
Category
Japan
Honduras
Result
Areakm² · Higher wins ↑
377,915
112,090
Would win
Populationpeople · Higher wins ↑ · Chosen
124,516,650
10,644,851
Would win
Wealth per personint’l $ · Higher wins ↑
52,726
7,184
Would win
Densityper km² · Higher wins ↑
329.5
95.0
Would win
Highest peakm · Higher wins ↑
3,776
2,870
Would win
Coastlinekm · Higher wins ↑
29,751
823
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
14.7° N
Would lose
30
Round 30Won42 countries · 4 lives left
VenezuelavsPapua New Guinea
Highest peak: 4,978 vs 4,509 m · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 3 other winning choices
All eight categories for Venezuela against Papua New Guinea
Category
Venezuela
Papua New Guinea
Result
Areakm² · Higher wins ↑
912,050
462,840
Would win
Populationpeople · Higher wins ↑
28,300,854
10,389,635
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
4,672
Unavailable
Densityper km² · Higher wins ↑
31.0
22.4
Would win
Highest peakm · Higher wins ↑ · Chosen
4,978
4,509
Would win
Coastlinekm · Higher wins ↑
2,800
5,152
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.2° N
5.5° S
Would lose
31
Round 31Won43 countries · 4 lives left
Sri LankavsAfghanistan
Coastline: 1,340 vs 0 km · Higher wins ↑
Conquered Afghanistan.
Other category comparisons 3 other winning choices
All eight categories for Sri Lanka against Afghanistan
Category
Sri Lanka
Afghanistan
Result
Areakm² · Higher wins ↑
65,610
652,230
Would lose
Populationpeople · Higher wins ↑
22,037,000
41,454,761
Would lose
Wealth per personint’l $ · Higher wins ↑
14,512
2,204
Would win
Densityper km² · Higher wins ↑
335.9
63.6
Would win
Highest peakm · Higher wins ↑
2,524
7,492
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,340
0
Would win
Flag colourscolours · Higher wins ↑
5
5
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
34.3° N
Would win
32
Round 32Won44 countries · 4 lives left
CyprusvsLaos
Wealth per person: 59,875 vs 9,299 int’l $ · Higher wins ↑
Conquered Laos.
Other category comparisons 2 other winning choices
All eight categories for Cyprus against Laos
Category
Cyprus
Laos
Result
Areakm² · Higher wins ↑
9,251
236,800
Would lose
Populationpeople · Higher wins ↑
1,344,976
7,664,993
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
59,875
9,299
Would win
Densityper km² · Higher wins ↑
145.4
32.4
Would win
Highest peakm · Higher wins ↑
1,951
2,817
Would lose
Coastlinekm · Higher wins ↑
648
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
19.6° N
Would lose
33
Round 33Won45 countries · 4 lives left
Guinea-BissauvsLithuania
Proximity to equator: 12.1° N vs 55.1° N from the equator · Closer wins ↓
Conquered Lithuania.
Other category comparisons 3 other winning choices
All eight categories for Guinea-Bissau against Lithuania
Category
Guinea-Bissau
Lithuania
Result
Areakm² · Higher wins ↑
36,125
65,300
Would lose
Populationpeople · Higher wins ↑
2,153,339
2,871,585
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
52,720
Would lose
Densityper km² · Higher wins ↑
59.6
44.0
Would win
Highest peakm · Higher wins ↑
277
294
Would lose
Coastlinekm · Higher wins ↑
350
90
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
55.1° N
Would win
34
Round 34Won46 countries · 4 lives left
AustraliavsEquatorial Guinea
Area: 7,741,220 vs 28,051 km² · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 3 other winning choices
All eight categories for Australia against Equatorial Guinea
Category
Australia
Equatorial Guinea
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
28,051
Would win
Populationpeople · Higher wins ↑
26,659,922
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑
72,273
16,997
Would win
Densityper km² · Higher wins ↑
3.4
65.9
Would lose
Highest peakm · Higher wins ↑
2,228
3,008
Would lose
Coastlinekm · Higher wins ↑
25,760
296
Would win
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
1.6° N
Would lose
35
Round 35Won47 countries · 4 lives left
TogovsTajikistan
Proximity to equator: 8.9° N vs 38.3° N from the equator · Closer wins ↓
Conquered Tajikistan.
Other category comparisons 2 other winning choices
All eight categories for Togo against Tajikistan
Category
Togo
Tajikistan
Result
Areakm² · Higher wins ↑
56,785
144,100
Would lose
Populationpeople · Higher wins ↑
8,223,850
10,389,799
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
4,968
Would lose
Densityper km² · Higher wins ↑
144.8
72.1
Would win
Highest peakm · Higher wins ↑
986
7,495
Would lose
Coastlinekm · Higher wins ↑
56
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° N
38.3° N
Would win
36
Round 36Won48 countries · 4 lives left
SwitzerlandvsBrunei
Highest peak: 4,634 vs 1,850 m · Higher wins ↑
Conquered Brunei.
Other category comparisons 4 other winning choices
All eight categories for Switzerland against Brunei
Category
Switzerland
Brunei
Result
Areakm² · Higher wins ↑
41,277
5,765
Would win
Populationpeople · Higher wins ↑
8,888,822
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
93,940
85,103
Would win
Densityper km² · Higher wins ↑
215.3
79.6
Would win
Highest peakm · Higher wins ↑ · Chosen
4,634
1,850
Would win
Coastlinekm · Higher wins ↑
0
161
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
4.5° N
Would lose
37
Round 37Won49 countries · 4 lives left
IndiavsLebanon
Population: 1,438,069,596 vs 5,773,493 people · Higher wins ↑
Conquered Lebanon.
Other category comparisons 5 other winning choices
All eight categories for India against Lebanon
Category
India
Lebanon
Result
Areakm² · Higher wins ↑
3,287,263
10,400
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
12,585
Would lose
Densityper km² · Higher wins ↑
437.5
555.1
Would lose
Highest peakm · Higher wins ↑
8,586
3,088
Would win
Coastlinekm · Higher wins ↑
7,000
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
34.2° N
Would win
38
Round 38Won50 countries · 4 lives left
MauritaniavsSouth Africa
Proximity to equator: 19.4° N vs 30.2° S from the equator · Closer wins ↓
Conquered South Africa.
Other category comparisons 0 other winning choices
All eight categories for Mauritania against South Africa
Category
Mauritania
South Africa
Result
Areakm² · Higher wins ↑
1,030,700
1,219,090
Would lose
Populationpeople · Higher wins ↑
5,022,441
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
6,972
15,212
Would lose
Densityper km² · Higher wins ↑
4.9
51.9
Would lose
Highest peakm · Higher wins ↑
915
3,450
Would lose
Coastlinekm · Higher wins ↑
754
2,798
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.4° N
30.2° S
Would win
39
Round 39Won51 countries · 4 lives left
ChinavsZimbabwe
Population: 1,410,710,000 vs 16,340,822 people · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 5 other winning choices
All eight categories for China against Zimbabwe
Category
China
Zimbabwe
Result
Areakm² · Higher wins ↑
9,596,960
390,757
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
16,340,822
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
5,796
Would win
Densityper km² · Higher wins ↑
147.0
41.8
Would win
Highest peakm · Higher wins ↑
8,849
2,592
Would win
Coastlinekm · Higher wins ↑
14,500
0
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
19.0° S
Would lose
40
Round 40Won52 countries · 4 lives left
NamibiavsCôte d’Ivoire
Area: 824,292 vs 322,463 km² · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 4 other winning choices
All eight categories for Namibia against Côte d’Ivoire
Category
Namibia
Côte d’Ivoire
Result
Areakm² · Higher wins ↑ · Chosen
824,292
322,463
Would win
Populationpeople · Higher wins ↑
2,963,095
31,165,654
Would lose
Wealth per personint’l $ · Higher wins ↑
11,248
7,243
Would win
Densityper km² · Higher wins ↑
3.6
96.6
Would lose
Highest peakm · Higher wins ↑
2,573
1,752
Would win
Coastlinekm · Higher wins ↑
1,572
515
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Türkiyevs
South Sudan
Morocco
Argentina
El Salvador
Andorra
Iran
Fiji
Ecuador
Dominican Republic
Libya
Slovenia
Guinea
North Korea
South Korea
Liberia
Japan
Honduras
Venezuela
Papua New Guinea
Sri Lanka
Afghanistan
Cyprus
Laos
Guinea-Bissau
Lithuania
Australia
Equatorial Guinea
Togo
Tajikistan
Switzerland
Brunei
India
Lebanon
Mauritania
South Africa
China
Zimbabwe
Namibia
Côte d’Ivoire