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Untimed expedition · Data edition 01051846d672
71Wins
4Losses
2Ties
Explore the final empire · 81 countries
No countries match your search.
The path through the world
One choice at a time.
77 rounds
Where it began · 12 countries
El Salvador · Belarus · Mongolia · Colombia · Nigeria · Guinea-Bissau · Luxembourg · Brazil · Senegal · Burundi · Morocco · Libya
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
Guinea-BissauvsTrinidad and Tobago
Population: 2,153,339 vs 1,367,510 people · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 2 other winning choices
All eight categories for Guinea-Bissau against Trinidad and Tobago
Category
Guinea-Bissau
Trinidad and Tobago
Result
Areakm² · Higher wins ↑
36,125
5,128
Would win
Populationpeople · Higher wins ↑ · Chosen
2,153,339
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
2,956
34,652
Would lose
Densityper km² · Higher wins ↑
59.6
266.7
Would lose
Highest peakm · Higher wins ↑
277
940
Would lose
Coastlinekm · Higher wins ↑
350
362
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.1° N
10.3° N
Would lose
22
Round 22Won32 countries · 3 lives left
PakistanvsJamaica
Highest peak: 8,611 vs 2,256 m · Higher wins ↑
Conquered Jamaica.
Other category comparisons 4 other winning choices
All eight categories for Pakistan against Jamaica
Category
Pakistan
Jamaica
Result
Areakm² · Higher wins ↑
796,095
10,991
Would win
Populationpeople · Higher wins ↑
247,504,495
2,839,786
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
12,661
Would lose
Densityper km² · Higher wins ↑
310.9
258.4
Would win
Highest peakm · Higher wins ↑ · Chosen
8,611
2,256
Would win
Coastlinekm · Higher wins ↑
1,046
1,022
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
18.1° N
Would lose
23
Round 23Won33 countries · 3 lives left
LuxembourgvsDjibouti
Wealth per person: 152,596 vs 7,232 int’l $ · Higher wins ↑
Conquered Djibouti.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against Djibouti
Category
Luxembourg
Djibouti
Result
Areakm² · Higher wins ↑
2,586
23,200
Would lose
Populationpeople · Higher wins ↑
666,430
1,152,944
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
7,232
Would win
Densityper km² · Higher wins ↑
257.7
49.7
Would win
Highest peakm · Higher wins ↑
559
2,021
Would lose
Coastlinekm · Higher wins ↑
0
314
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
11.4° N
Would lose
24
Round 24Won34 countries · 3 lives left
Solomon IslandsvsTogo
Coastline: 5,313 vs 56 km · Higher wins ↑
Conquered Togo.
Other category comparisons 1 other winning choice
All eight categories for Solomon Islands against Togo
Category
Solomon Islands
Togo
Result
Areakm² · Higher wins ↑
28,896
56,785
Would lose
Populationpeople · Higher wins ↑
800,005
8,223,850
Would lose
Wealth per personint’l $ · Higher wins ↑
2,599
3,572
Would lose
Densityper km² · Higher wins ↑
27.7
144.8
Would lose
Highest peakm · Higher wins ↑
2,335
986
Would win
Coastlinekm · Higher wins ↑ · Chosen
5,313
56
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
9.6° S
8.9° N
Would lose
25
Round 25Won35 countries · 3 lives left
BrazilvsIndia
Proximity to equator: 12.6° S vs 22.4° N from the equator · Closer wins ↓
Conquered India.
Other category comparisons 3 other winning choices
All eight categories for Brazil against India
Category
Brazil
India
Result
Areakm² · Higher wins ↑
8,515,770
3,287,263
Would win
Populationpeople · Higher wins ↑
211,140,729
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑
21,193
9,853
Would win
Densityper km² · Higher wins ↑
24.8
437.5
Would lose
Highest peakm · Higher wins ↑
2,994
8,586
Would lose
Coastlinekm · Higher wins ↑
7,491
7,000
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.6° S
22.4° N
Would win
26
Round 26Won36 countries · 3 lives left
AfghanistanvsMauritania
Population: 41,454,761 vs 5,022,441 people · Higher wins ↑
Conquered Mauritania.
Other category comparisons 3 other winning choices
All eight categories for Afghanistan against Mauritania
Category
Afghanistan
Mauritania
Result
Areakm² · Higher wins ↑
652,230
1,030,700
Would lose
Populationpeople · Higher wins ↑ · Chosen
41,454,761
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑
2,204
6,972
Would lose
Densityper km² · Higher wins ↑
63.6
4.9
Would win
Highest peakm · Higher wins ↑
7,492
915
Would win
Coastlinekm · Higher wins ↑
0
754
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
19.4° N
Would lose
27
Round 27Won37 countries · 3 lives left
SenegalvsNew Zealand
Density: 91.9 vs 19.3 per km² · Higher wins ↑
Conquered New Zealand.
Other category comparisons 2 other winning choices
All eight categories for Senegal against New Zealand
Category
Senegal
New Zealand
Result
Areakm² · Higher wins ↑
196,722
268,838
Would lose
Populationpeople · Higher wins ↑
18,077,573
5,200,000
Would win
Wealth per personint’l $ · Higher wins ↑
4,782
54,950
Would lose
Densityper km² · Higher wins ↑ · Chosen
91.9
19.3
Would win
Highest peakm · Higher wins ↑
648
3,724
Would lose
Coastlinekm · Higher wins ↑
531
15,134
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.2° N
45.3° S
Would win
28
Round 28Won38 countries · 3 lives left
MozambiquevsGermany
Proximity to equator: 14.0° S vs 51.0° N from the equator · Closer wins ↓
Conquered Germany.
Other category comparisons 3 other winning choices
All eight categories for Mozambique against Germany
Category
Mozambique
Germany
Result
Areakm² · Higher wins ↑
799,380
357,022
Would win
Populationpeople · Higher wins ↑
33,635,160
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
1,680
72,262
Would lose
Densityper km² · Higher wins ↑
42.1
233.3
Would lose
Highest peakm · Higher wins ↑
2,436
2,963
Would lose
Coastlinekm · Higher wins ↑
2,470
2,389
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.0° S
51.0° N
Would win
29
Round 29Won39 countries · 3 lives left
BurundivsNiger
Density: 491.9 vs 20.6 per km² · Higher wins ↑
Conquered Niger.
Other category comparisons 2 other winning choices
All eight categories for Burundi against Niger
Category
Burundi
Niger
Result
Areakm² · Higher wins ↑
27,830
1,267,000
Would lose
Populationpeople · Higher wins ↑
13,689,450
26,159,867
Would lose
Wealth per personint’l $ · Higher wins ↑
1,147
1,903
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
20.6
Would win
Highest peakm · Higher wins ↑
2,685
2,022
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
17.6° N
Would win
30
Round 30Won40 countries · 3 lives left
CroatiavsMexico
Density: 68.2 vs 66.0 per km² · Higher wins ↑
Conquered Mexico.
Other category comparisons 1 other winning choice
All eight categories for Croatia against Mexico
Category
Croatia
Mexico
Result
Areakm² · Higher wins ↑
56,594
1,964,375
Would lose
Populationpeople · Higher wins ↑
3,859,686
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑
47,760
25,188
Would win
Densityper km² · Higher wins ↑ · Chosen
68.2
66.0
Would win
Highest peakm · Higher wins ↑
1,831
5,636
Would lose
Coastlinekm · Higher wins ↑
5,835
9,330
Would lose
Flag colourscolours · Higher wins ↑
6
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
23.5° N
Would lose
31
Round 31Won41 countries · 3 lives left
MoroccovsMalawi
Area: 446,550 vs 118,484 km² · Higher wins ↑
Conquered Malawi.
Other category comparisons 4 other winning choices
All eight categories for Morocco against Malawi
Category
Morocco
Malawi
Result
Areakm² · Higher wins ↑ · Chosen
446,550
118,484
Would win
Populationpeople · Higher wins ↑
37,712,505
21,104,482
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
1,832
Would win
Densityper km² · Higher wins ↑
84.5
178.1
Would lose
Highest peakm · Higher wins ↑
4,165
3,002
Would win
Coastlinekm · Higher wins ↑
1,835
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
13.4° S
Would lose
32
Round 32Won42 countries · 3 lives left
Timor-LestevsSaudi Arabia
Density: 93.1 vs 15.7 per km² · Higher wins ↑
Conquered Saudi Arabia.
Other category comparisons 2 other winning choices
All eight categories for Timor-Leste against Saudi Arabia
Category
Timor-Leste
Saudi Arabia
Result
Areakm² · Higher wins ↑
14,874
2,149,690
Would lose
Populationpeople · Higher wins ↑
1,384,286
33,702,731
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
71,624
Would lose
Densityper km² · Higher wins ↑ · Chosen
93.1
15.7
Would win
Highest peakm · Higher wins ↑
2,963
3,000
Would lose
Coastlinekm · Higher wins ↑
706
2,640
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
23.5° N
Would win
33
Round 33Won43 countries · 3 lives left
LibyavsSri Lanka
Area: 1,759,540 vs 65,610 km² · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 1 other winning choice
All eight categories for Libya against Sri Lanka
Category
Libya
Sri Lanka
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
65,610
Would win
Populationpeople · Higher wins ↑
7,305,659
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑
13,858
14,512
Would lose
Densityper km² · Higher wins ↑
4.2
335.9
Would lose
Highest peakm · Higher wins ↑
2,267
2,524
Would lose
Coastlinekm · Higher wins ↑
1,770
1,340
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
7.1° N
Would lose
34
Round 34Won44 countries · 3 lives left
LiberiavsDR Congo
Density: 49.3 vs 45.1 per km² · Higher wins ↑
Conquered DR Congo.
Other category comparisons 2 other winning choices
All eight categories for Liberia against DR Congo
Category
Liberia
DR Congo
Result
Areakm² · Higher wins ↑
111,369
2,344,858
Would lose
Populationpeople · Higher wins ↑
5,493,031
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
1,732
Would win
Densityper km² · Higher wins ↑ · Chosen
49.3
45.1
Would win
Highest peakm · Higher wins ↑
1,447
5,110
Would lose
Coastlinekm · Higher wins ↑
579
37
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
1.9° S
Would lose
35
Round 35Won45 countries · 3 lives left
El SalvadorvsPalestine
Wealth per person: 12,667 vs 6,179 int’l $ · Higher wins ↑
Conquered Palestine.
Other category comparisons 6 other winning choices
All eight categories for El Salvador against Palestine
Category
El Salvador
Palestine
Result
Areakm² · Higher wins ↑
21,041
6,220
Would win
Populationpeople · Higher wins ↑
6,309,624
5,165,775
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
12,667
6,179
Would win
Densityper km² · Higher wins ↑
299.9
830.5
Would lose
Highest peakm · Higher wins ↑
2,730
1,020
Would win
Coastlinekm · Higher wins ↑
307
40
Would win
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.9° N
32.1° N
Would win
36
Round 36Won46 countries · 3 lives left
AlgeriavsEswatini
Area: 2,381,740 vs 17,364 km² · Higher wins ↑
Conquered Eswatini.
Other category comparisons 4 other winning choices
All eight categories for Algeria against Eswatini
Category
Algeria
Eswatini
Result
Areakm² · Higher wins ↑ · Chosen
2,381,740
17,364
Would win
Populationpeople · Higher wins ↑
46,164,219
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
16,838
11,309
Would win
Densityper km² · Higher wins ↑
19.4
70.9
Would lose
Highest peakm · Higher wins ↑
2,908
1,862
Would win
Coastlinekm · Higher wins ↑
998
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.4° N
26.6° S
Would lose
37
Round 37Won47 countries · 3 lives left
Sierra LeonevsCanada
Density: 117.9 vs 4.0 per km² · Higher wins ↑
Conquered Canada.
Other category comparisons 2 other winning choices
All eight categories for Sierra Leone against Canada
Category
Sierra Leone
Canada
Result
Areakm² · Higher wins ↑
71,740
9,984,670
Would lose
Populationpeople · Higher wins ↑
8,460,512
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
3,371
64,962
Would lose
Densityper km² · Higher wins ↑ · Chosen
117.9
4.0
Would win
Highest peakm · Higher wins ↑
1,948
5,959
Would lose
Coastlinekm · Higher wins ↑
402
202,080
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.7° N
58.8° N
Would win
38
Round 38Won48 countries · 3 lives left
Equatorial GuineavsLaos
Proximity to equator: 1.6° N vs 19.6° N from the equator · Closer wins ↓
Conquered Laos.
Other category comparisons 5 other winning choices
All eight categories for Equatorial Guinea against Laos
Category
Equatorial Guinea
Laos
Result
Areakm² · Higher wins ↑
28,051
236,800
Would lose
Populationpeople · Higher wins ↑
1,847,549
7,664,993
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
9,299
Would win
Densityper km² · Higher wins ↑
65.9
32.4
Would win
Highest peakm · Higher wins ↑
3,008
2,817
Would win
Coastlinekm · Higher wins ↑
296
0
Would win
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
19.6° N
Would win
39
Round 39Won49 countries · 3 lives left
BelarusvsBelgium
Area: 207,600 vs 30,528 km² · Higher wins ↑
Conquered Belgium.
Other category comparisons 0 other winning choices
All eight categories for Belarus against Belgium
Category
Belarus
Belgium
Result
Areakm² · Higher wins ↑ · Chosen
207,600
30,528
Would win
Populationpeople · Higher wins ↑
9,178,298
11,779,946
Would lose
Wealth per personint’l $ · Higher wins ↑
30,860
72,630
Would lose
Densityper km² · Higher wins ↑
44.2
385.9
Would lose
Highest peakm · Higher wins ↑
346
694
Would lose
Coastlinekm · Higher wins ↑
0
66.5
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
50.8° N
Would lose
40
Round 40Won50 countries · 3 lives left
PeruvsKyrgyzstan
Area: 1,285,216 vs 199,951 km² · Higher wins ↑
Conquered Kyrgyzstan.
Other category comparisons 4 other winning choices
All eight categories for Peru against Kyrgyzstan
Category
Peru
Kyrgyzstan
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
199,951
Would win
Populationpeople · Higher wins ↑
33,845,617
7,099,750
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
7,304
Would win
Densityper km² · Higher wins ↑
26.3
35.5
Would lose
Highest peakm · Higher wins ↑
6,746
7,439
Would lose
Coastlinekm · Higher wins ↑
2,414
0
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Guinea-Bissauvs
Trinidad and Tobago
Pakistan
Jamaica
Luxembourg
Djibouti
Solomon Islands
Togo
Brazil
India
Afghanistan
Mauritania
Senegal
New Zealand
Mozambique
Germany
Burundi
Niger
Croatia
Mexico
Morocco
Malawi
Timor-Leste
Saudi Arabia
Libya
Sri Lanka
Liberia
DR Congo
El Salvador
Palestine
Algeria
Eswatini
Sierra Leone
Canada
Equatorial Guinea
Laos
Belarus
Belgium
Peru
Kyrgyzstan