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Untimed expedition · Data edition 01051846d672
34Wins
2Losses
0Ties
Explore the final empire · 44 countries
No countries match your search.
The path through the world
One choice at a time.
36 rounds
Where it began · 12 countries
Hungary · Angola · Ethiopia · Timor-Leste · Iraq · Brazil · Bolivia · Chad · Ireland · Slovakia · Indonesia · Cambodia
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
HungaryvsBotswana
Wealth per person: 46,376 vs 21,029 int’l $ · Higher wins ↑
Conquered Botswana.
Other category comparisons 2 other winning choices
All eight categories for Hungary against Botswana
Category
Hungary
Botswana
Result
Areakm² · Higher wins ↑
93,028
581,730
Would lose
Populationpeople · Higher wins ↑
9,592,186
2,480,244
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
46,376
21,029
Would win
Densityper km² · Higher wins ↑
103.1
4.3
Would win
Highest peakm · Higher wins ↑
1,014
1,495
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
47.3° N
22.1° S
Would lose
2
Round 2Won14 countries · 4 lives left
AngolavsSouth Korea
Area: 1,246,700 vs 99,720 km² · Higher wins ↑
Conquered South Korea.
Other category comparisons 2 other winning choices
All eight categories for Angola against South Korea
Category
Angola
South Korea
Result
Areakm² · Higher wins ↑ · Chosen
1,246,700
99,720
Would win
Populationpeople · Higher wins ↑
36,749,906
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑
9,550
57,430
Would lose
Densityper km² · Higher wins ↑
29.5
518.6
Would lose
Highest peakm · Higher wins ↑
2,620
1,950
Would win
Coastlinekm · Higher wins ↑
1,600
2,413
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.2° S
36.3° N
Would win
3
Round 3Won15 countries · 4 lives left
EthiopiavsSwitzerland
Population: 128,691,692 vs 8,888,822 people · Higher wins ↑
Conquered Switzerland.
Other category comparisons 3 other winning choices
All eight categories for Ethiopia against Switzerland
Category
Ethiopia
Switzerland
Result
Areakm² · Higher wins ↑
1,104,300
41,277
Would win
Populationpeople · Higher wins ↑ · Chosen
128,691,692
8,888,822
Would win
Wealth per personint’l $ · Higher wins ↑
3,063
93,940
Would lose
Densityper km² · Higher wins ↑
116.5
215.3
Would lose
Highest peakm · Higher wins ↑
4,550
4,634
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.5° N
46.7° N
Would win
4
Round 4Won16 countries · 4 lives left
Timor-LestevsIndia
Proximity to equator: 8.9° S vs 22.4° N from the equator · Closer wins ↓
Conquered India.
Other category comparisons 0 other winning choices
All eight categories for Timor-Leste against India
Category
Timor-Leste
India
Result
Areakm² · Higher wins ↑
14,874
3,287,263
Would lose
Populationpeople · Higher wins ↑
1,384,286
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
9,853
Would lose
Densityper km² · Higher wins ↑
93.1
437.5
Would lose
Highest peakm · Higher wins ↑
2,963
8,586
Would lose
Coastlinekm · Higher wins ↑
706
7,000
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° S
22.4° N
Would win
5
Round 5Won17 countries · 4 lives left
IraqvsUnited Kingdom
Proximity to equator: 33.3° N vs 52.5° N from the equator · Closer wins ↓
Conquered United Kingdom.
Other category comparisons 3 other winning choices
All eight categories for Iraq against United Kingdom
Category
Iraq
United Kingdom
Result
Areakm² · Higher wins ↑
438,317
243,610
Would win
Populationpeople · Higher wins ↑
45,074,049
68,526,000
Would lose
Wealth per personint’l $ · Higher wins ↑
14,665
60,787
Would lose
Densityper km² · Higher wins ↑
102.8
281.3
Would lose
Highest peakm · Higher wins ↑
3,611
1,345
Would win
Coastlinekm · Higher wins ↑
58
12,429
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
33.3° N
52.5° N
Would win
6
Round 6Won18 countries · 4 lives left
BrazilvsMalta
Population: 211,140,729 vs 552,747 people · Higher wins ↑
Conquered Malta.
Other category comparisons 5 other winning choices
All eight categories for Brazil against Malta
Category
Brazil
Malta
Result
Areakm² · Higher wins ↑
8,515,770
316
Would win
Populationpeople · Higher wins ↑ · Chosen
211,140,729
552,747
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
67,101
Would lose
Densityper km² · Higher wins ↑
24.8
1,749.2
Would lose
Highest peakm · Higher wins ↑
2,994
253
Would win
Coastlinekm · Higher wins ↑
7,491
196.8
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
35.9° N
Would win
7
Round 7Won19 countries · 4 lives left
BoliviavsUganda
Highest peak: 6,542 vs 5,110 m · Higher wins ↑
Conquered Uganda.
Other category comparisons 3 other winning choices
All eight categories for Bolivia against Uganda
Category
Bolivia
Uganda
Result
Areakm² · Higher wins ↑
1,098,581
241,038
Would win
Populationpeople · Higher wins ↑
12,244,159
48,656,601
Would lose
Wealth per personint’l $ · Higher wins ↑
12,903
3,100
Would win
Densityper km² · Higher wins ↑
11.1
201.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,542
5,110
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
9
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.7° S
2.0° N
Would lose
8
Round 8Won20 countries · 4 lives left
ChadvsUnited States
Proximity to equator: 17.3° N vs 39.1° N from the equator · Closer wins ↓
Conquered United States.
Other category comparisons 0 other winning choices
All eight categories for Chad against United States
Category
Chad
United States
Result
Areakm² · Higher wins ↑
1,284,000
9,833,517
Would lose
Populationpeople · Higher wins ↑
19,319,064
336,755,052
Would lose
Wealth per personint’l $ · Higher wins ↑
2,703
82,587
Would lose
Densityper km² · Higher wins ↑
15.0
34.2
Would lose
Highest peakm · Higher wins ↑
3,445
6,190
Would lose
Coastlinekm · Higher wins ↑
0
19,924
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
17.3° N
39.1° N
Would win
9
Round 9Won21 countries · 4 lives left
IrelandvsGuinea-Bissau
Wealth per person: 133,440 vs 2,956 int’l $ · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 5 other winning choices
All eight categories for Ireland against Guinea-Bissau
Category
Ireland
Guinea-Bissau
Result
Areakm² · Higher wins ↑
70,273
36,125
Would win
Populationpeople · Higher wins ↑
5,311,538
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
133,440
2,956
Would win
Densityper km² · Higher wins ↑
75.6
59.6
Would win
Highest peakm · Higher wins ↑
1,041
277
Would win
Coastlinekm · Higher wins ↑
1,448
350
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
12.1° N
Would lose
10
Round 10Won22 countries · 4 lives left
SlovakiavsBelgium
Highest peak: 2,655 vs 694 m · Higher wins ↑
Conquered Belgium.
Other category comparisons 2 other winning choices
All eight categories for Slovakia against Belgium
Category
Slovakia
Belgium
Result
Areakm² · Higher wins ↑
49,035
30,528
Would win
Populationpeople · Higher wins ↑
5,426,740
11,779,946
Would lose
Wealth per personint’l $ · Higher wins ↑
45,865
72,630
Would lose
Densityper km² · Higher wins ↑
110.7
385.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
2,655
694
Would win
Coastlinekm · Higher wins ↑
0
66.5
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
48.7° N
50.8° N
Would win
11
Round 11Won23 countries · 4 lives left
IndonesiavsGambia
Population: 281,190,067 vs 2,697,845 people · Higher wins ↑
Conquered Gambia.
Other category comparisons 5 other winning choices
All eight categories for Indonesia against Gambia
Category
Indonesia
Gambia
Result
Areakm² · Higher wins ↑
1,904,569
11,300
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
2,697,845
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
3,292
Would win
Densityper km² · Higher wins ↑
147.6
238.7
Would lose
Highest peakm · Higher wins ↑
4,884
63
Would win
Coastlinekm · Higher wins ↑
54,716
80
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
13.6° N
Would win
12
Round 12Won24 countries · 4 lives left
CambodiavsEritrea
Population: 17,423,880 vs 3,470,390 people · Higher wins ↑
Conquered Eritrea.
Other category comparisons 3 other winning choices
All eight categories for Cambodia against Eritrea
Category
Cambodia
Eritrea
Result
Areakm² · Higher wins ↑
181,035
117,600
Would win
Populationpeople · Higher wins ↑ · Chosen
17,423,880
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
7,437
Unavailable
Unavailable
Densityper km² · Higher wins ↑
96.2
29.5
Would win
Highest peakm · Higher wins ↑
1,810
3,018
Would lose
Coastlinekm · Higher wins ↑
443
2,234
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
16.0° N
Would win
13
Round 13Won25 countries · 4 lives left
HungaryvsAfghanistan
Wealth per person: 46,376 vs 2,204 int’l $ · Higher wins ↑
Conquered Afghanistan.
Other category comparisons 1 other winning choice
All eight categories for Hungary against Afghanistan
Category
Hungary
Afghanistan
Result
Areakm² · Higher wins ↑
93,028
652,230
Would lose
Populationpeople · Higher wins ↑
9,592,186
41,454,761
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
46,376
2,204
Would win
Densityper km² · Higher wins ↑
103.1
63.6
Would win
Highest peakm · Higher wins ↑
1,014
7,492
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.3° N
34.3° N
Would lose
14
Round 14Won26 countries · 4 lives left
BotswanavsEquatorial Guinea
Area: 581,730 vs 28,051 km² · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 2 other winning choices
All eight categories for Botswana against Equatorial Guinea
Category
Botswana
Equatorial Guinea
Result
Areakm² · Higher wins ↑ · Chosen
581,730
28,051
Would win
Populationpeople · Higher wins ↑
2,480,244
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑
21,029
16,997
Would win
Densityper km² · Higher wins ↑
4.3
65.9
Would lose
Highest peakm · Higher wins ↑
1,495
3,008
Would lose
Coastlinekm · Higher wins ↑
0
296
Would lose
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° S
1.6° N
Would lose
15
Round 15Won27 countries · 4 lives left
AngolavsSomalia
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Somalia.
Other category comparisons 5 other winning choices
All eight categories for Angola against Somalia
Category
Angola
Somalia
Result
Areakm² · Higher wins ↑
1,246,700
637,657
Would win
Populationpeople · Higher wins ↑
36,749,906
18,358,615
Would win
Wealth per personint’l $ · Higher wins ↑
9,550
1,557
Would win
Densityper km² · Higher wins ↑
29.5
28.8
Would win
Highest peakm · Higher wins ↑
2,620
2,460
Would win
Coastlinekm · Higher wins ↑
1,600
3,025
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.2° S
2.6° N
Would lose
16
Round 16Won28 countries · 4 lives left
South KoreavsVenezuela
Population: 51,712,619 vs 28,300,854 people · Higher wins ↑
Conquered Venezuela.
Other category comparisons 1 other winning choice
All eight categories for South Korea against Venezuela
Category
South Korea
Venezuela
Result
Areakm² · Higher wins ↑
99,720
912,050
Would lose
Populationpeople · Higher wins ↑ · Chosen
51,712,619
28,300,854
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
57,430
Unavailable
Unavailable
Densityper km² · Higher wins ↑
518.6
31.0
Would win
Highest peakm · Higher wins ↑
1,950
4,978
Would lose
Coastlinekm · Higher wins ↑
2,413
2,800
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
7.2° N
Would lose
17
Round 17Won29 countries · 4 lives left
EthiopiavsLibya
Population: 128,691,692 vs 7,305,659 people · Higher wins ↑
Conquered Libya.
Other category comparisons 3 other winning choices
All eight categories for Ethiopia against Libya
Category
Ethiopia
Libya
Result
Areakm² · Higher wins ↑
1,104,300
1,759,540
Would lose
Populationpeople · Higher wins ↑ · Chosen
128,691,692
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
3,063
13,858
Would lose
Densityper km² · Higher wins ↑
116.5
4.2
Would win
Highest peakm · Higher wins ↑
4,550
2,267
Would win
Coastlinekm · Higher wins ↑
0
1,770
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.5° N
26.1° N
Would win
18
Round 18Won30 countries · 4 lives left
SwitzerlandvsThailand
Wealth per person: 93,940 vs 23,598 int’l $ · Higher wins ↑
Conquered Thailand.
Other category comparisons 2 other winning choices
All eight categories for Switzerland against Thailand
Category
Switzerland
Thailand
Result
Areakm² · Higher wins ↑
41,277
513,120
Would lose
Populationpeople · Higher wins ↑
8,888,822
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
23,598
Would win
Densityper km² · Higher wins ↑
215.3
139.7
Would win
Highest peakm · Higher wins ↑
4,634
2,565
Would win
Coastlinekm · Higher wins ↑
0
3,219
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
15.5° N
Would lose
19
Round 19Won31 countries · 4 lives left
Timor-LestevsAzerbaijan
Coastline: 706 vs 0 km · Higher wins ↑
Conquered Azerbaijan.
Other category comparisons 1 other winning choice
All eight categories for Timor-Leste against Azerbaijan
Category
Timor-Leste
Azerbaijan
Result
Areakm² · Higher wins ↑
14,874
86,600
Would lose
Populationpeople · Higher wins ↑
1,384,286
10,153,958
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
23,671
Would lose
Densityper km² · Higher wins ↑
93.1
117.3
Would lose
Highest peakm · Higher wins ↑
2,963
4,466
Would lose
Coastlinekm · Higher wins ↑ · Chosen
706
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
40.5° N
Would win
20
Round 20Won32 countries · 4 lives left
IndiavsDR Congo
Population: 1,438,069,596 vs 105,789,731 people · Higher wins ↑
Conquered DR Congo.
Other category comparisons 6 other winning choices
All eight categories for India against DR Congo
Category
India
DR Congo
Result
Areakm² · Higher wins ↑
3,287,263
2,344,858
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
105,789,731
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
1,732
Would win
Densityper km² · Higher wins ↑
437.5
45.1
Would win
Highest peakm · Higher wins ↑
8,586
5,110
Would win
Coastlinekm · Higher wins ↑
7,000
37
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Hungaryvs
Botswana
Angola
South Korea
Ethiopia
Switzerland
Timor-Leste
India
Iraq
United Kingdom
Brazil
Malta
Bolivia
Uganda
Chad
United States
Ireland
Guinea-Bissau
Slovakia
Belgium
Indonesia
Gambia
Cambodia
Eritrea
Afghanistan
Equatorial Guinea
Somalia
Venezuela
Libya
Thailand
Azerbaijan
DR Congo