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
27Wins
4Losses
1Ties
Explore the final empire · 36 countries
No countries match your search.
The path through the world
One choice at a time.
32 rounds
Where it began · 12 countries
Timor-Leste · Paraguay · Luxembourg · North Korea · Zimbabwe · United Arab Emirates · China · DR Congo · Côte d’Ivoire · Guinea · Cameroon · Ethiopia
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
Timor-LestevsCentral African Republic
Density: 93.1 vs 8.3 per km² · Higher wins ↑
Conquered Central African Republic.
Other category comparisons 3 other winning choices
All eight categories for Timor-Leste against Central African Republic
Category
Timor-Leste
Central African Republic
Result
Areakm² · Higher wins ↑
14,874
622,984
Would lose
Populationpeople · Higher wins ↑
1,384,286
5,152,421
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
1,258
Would win
Densityper km² · Higher wins ↑ · Chosen
93.1
8.3
Would win
Highest peakm · Higher wins ↑
2,963
1,410
Would win
Coastlinekm · Higher wins ↑
706
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
7.0° N
Would lose
2
Round 2Won14 countries · 4 lives left
ParaguayvsBelarus
Proximity to equator: 21.6° S vs 53.8° N from the equator · Closer wins ↓
Conquered Belarus.
Other category comparisons 3 other winning choices
All eight categories for Paraguay against Belarus
Category
Paraguay
Belarus
Result
Areakm² · Higher wins ↑
406,752
207,600
Would win
Populationpeople · Higher wins ↑
6,844,146
9,178,298
Would lose
Wealth per personint’l $ · Higher wins ↑
17,585
30,860
Would lose
Densityper km² · Higher wins ↑
16.8
44.2
Would lose
Highest peakm · Higher wins ↑
842
346
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
21.6° S
53.8° N
Would win
3
Round 3Won15 countries · 4 lives left
LuxembourgvsUnited Kingdom
Wealth per person: 152,596 vs 60,787 int’l $ · Higher wins ↑
Conquered United Kingdom.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against United Kingdom
Category
Luxembourg
United Kingdom
Result
Areakm² · Higher wins ↑
2,586
243,610
Would lose
Populationpeople · Higher wins ↑
666,430
68,526,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
60,787
Would win
Densityper km² · Higher wins ↑
257.7
281.3
Would lose
Highest peakm · Higher wins ↑
559
1,345
Would lose
Coastlinekm · Higher wins ↑
0
12,429
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
52.5° N
Would win
4
Round 4Won16 countries · 4 lives left
North KoreavsPeru
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Peru.
Other category comparisons 2 other winning choices
All eight categories for North Korea against Peru
Category
North Korea
Peru
Result
Areakm² · Higher wins ↑
120,538
1,285,216
Would lose
Populationpeople · Higher wins ↑
26,418,204
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
17,042
Unavailable
Densityper km² · Higher wins ↑
219.2
26.3
Would win
Highest peakm · Higher wins ↑
2,744
6,746
Would lose
Coastlinekm · Higher wins ↑
2,495
2,414
Would win
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
13.0° S
Would lose
5
Round 5Won17 countries · 4 lives left
ZimbabwevsJordan
Proximity to equator: 19.0° S vs 30.7° N from the equator · Closer wins ↓
Conquered Jordan.
Other category comparisons 4 other winning choices
All eight categories for Zimbabwe against Jordan
Category
Zimbabwe
Jordan
Result
Areakm² · Higher wins ↑
390,757
89,342
Would win
Populationpeople · Higher wins ↑
16,340,822
11,439,213
Would win
Wealth per personint’l $ · Higher wins ↑
5,796
11,451
Would lose
Densityper km² · Higher wins ↑
41.8
128.0
Would lose
Highest peakm · Higher wins ↑
2,592
1,854
Would win
Coastlinekm · Higher wins ↑
0
26
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.0° S
30.7° N
Would win
6
Round 6Won18 countries · 4 lives left
United Arab EmiratesvsMoldova
Wealth per person: 78,020 vs 17,751 int’l $ · Higher wins ↑
Conquered Moldova.
Other category comparisons 6 other winning choices
All eight categories for United Arab Emirates against Moldova
Category
United Arab Emirates
Moldova
Result
Areakm² · Higher wins ↑
83,600
33,851
Would win
Populationpeople · Higher wins ↑
10,483,751
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
78,020
17,751
Would win
Densityper km² · Higher wins ↑
125.4
72.6
Would win
Highest peakm · Higher wins ↑
1,905
430
Would win
Coastlinekm · Higher wins ↑
1,318
0
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
47.5° N
Would win
7
Round 7Won19 countries · 4 lives left
ChinavsSlovakia
Population: 1,410,710,000 vs 5,426,740 people · Higher wins ↑
Conquered Slovakia.
Other category comparisons 5 other winning choices
All eight categories for China against Slovakia
Category
China
Slovakia
Result
Areakm² · Higher wins ↑
9,596,960
49,035
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
5,426,740
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
45,865
Would lose
Densityper km² · Higher wins ↑
147.0
110.7
Would win
Highest peakm · Higher wins ↑
8,849
2,655
Would win
Coastlinekm · Higher wins ↑
14,500
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
48.7° N
Would win
8
Round 8Won20 countries · 4 lives left
DR CongovsIsrael
Proximity to equator: 1.9° S vs 30.9° N from the equator · Closer wins ↓
Conquered Israel.
Other category comparisons 4 other winning choices
All eight categories for DR Congo against Israel
Category
DR Congo
Israel
Result
Areakm² · Higher wins ↑
2,344,858
21,937
Would win
Populationpeople · Higher wins ↑
105,789,731
9,849,000
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
55,301
Would lose
Densityper km² · Higher wins ↑
45.1
449.0
Would lose
Highest peakm · Higher wins ↑
5,110
2,224
Would win
Coastlinekm · Higher wins ↑
37
273
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.9° S
30.9° N
Would win
9
Round 9Won21 countries · 4 lives left
Côte d’IvoirevsPhilippines
Proximity to equator: 7.5° N vs 17.0° N from the equator · Closer wins ↓
Conquered Philippines.
Other category comparisons 1 other winning choice
All eight categories for Côte d’Ivoire against Philippines
Category
Côte d’Ivoire
Philippines
Result
Areakm² · Higher wins ↑
322,463
300,000
Would win
Populationpeople · Higher wins ↑
31,165,654
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑
7,243
10,995
Would lose
Densityper km² · Higher wins ↑
96.6
383.0
Would lose
Highest peakm · Higher wins ↑
1,752
2,954
Would lose
Coastlinekm · Higher wins ↑
515
36,289
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.5° N
17.0° N
Would win
10
Round 10Won22 countries · 4 lives left
GuineavsEswatini
Proximity to equator: 10.7° N vs 26.6° S from the equator · Closer wins ↓
Conquered Eswatini.
Other category comparisons 3 other winning choices
All eight categories for Guinea against Eswatini
Category
Guinea
Eswatini
Result
Areakm² · Higher wins ↑
245,857
17,364
Would win
Populationpeople · Higher wins ↑
14,405,468
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
4,337
11,309
Would lose
Densityper km² · Higher wins ↑
58.6
70.9
Would lose
Highest peakm · Higher wins ↑
1,752
1,862
Would lose
Coastlinekm · Higher wins ↑
320
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.7° N
26.6° S
Would win
11
Round 11Lost21 countries · 3 lives left
CameroonvsEgypt
Density: 59.7 vs 114.4 per km² · Higher wins ↑
Returned to the world: Cameroon.
Other category comparisons 2 other winning choices
All eight categories for Cameroon against Egypt
Category
Cameroon
Egypt
Result
Areakm² · Higher wins ↑
475,440
1,001,450
Would lose
Populationpeople · Higher wins ↑
28,372,687
114,535,772
Would lose
Wealth per personint’l $ · Higher wins ↑
5,415
18,540
Would lose
Densityper km² · Higher wins ↑ · Chosen
59.7
114.4
Would lose
Highest peakm · Higher wins ↑
4,045
2,629
Would win
Coastlinekm · Higher wins ↑
402
2,450
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
26.3° N
Would win
12
Round 12Won22 countries · 3 lives left
EthiopiavsTrinidad and Tobago
Population: 128,691,692 vs 1,367,510 people · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 4 other winning choices
All eight categories for Ethiopia against Trinidad and Tobago
Category
Ethiopia
Trinidad and Tobago
Result
Areakm² · Higher wins ↑
1,104,300
5,128
Would win
Populationpeople · Higher wins ↑ · Chosen
128,691,692
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
3,063
34,652
Would lose
Densityper km² · Higher wins ↑
116.5
266.7
Would lose
Highest peakm · Higher wins ↑
4,550
940
Would win
Coastlinekm · Higher wins ↑
0
362
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.5° N
10.3° N
Would win
13
Round 13Won23 countries · 3 lives left
Timor-LestevsVenezuela
Density: 93.1 vs 31.0 per km² · Higher wins ↑
Conquered Venezuela.
Other category comparisons 0 other winning choices
All eight categories for Timor-Leste against Venezuela
Category
Timor-Leste
Venezuela
Result
Areakm² · Higher wins ↑
14,874
912,050
Would lose
Populationpeople · Higher wins ↑
1,384,286
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
4,811
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
93.1
31.0
Would win
Highest peakm · Higher wins ↑
2,963
4,978
Would lose
Coastlinekm · Higher wins ↑
706
2,800
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
7.2° N
Would lose
14
Round 14Won24 countries · 3 lives left
Central African RepublicvsAustria
Proximity to equator: 7.0° N vs 47.7° N from the equator · Closer wins ↓
Conquered Austria.
Other category comparisons 2 other winning choices
All eight categories for Central African Republic against Austria
Category
Central African Republic
Austria
Result
Areakm² · Higher wins ↑
622,984
83,871
Would win
Populationpeople · Higher wins ↑
5,152,421
9,131,761
Would lose
Wealth per personint’l $ · Higher wins ↑
1,258
74,261
Would lose
Densityper km² · Higher wins ↑
8.3
108.9
Would lose
Highest peakm · Higher wins ↑
1,410
3,798
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
47.7° N
Would win
15
Round 15Won25 countries · 3 lives left
ParaguayvsLiberia
Area: 406,752 vs 111,369 km² · Higher wins ↑
Conquered Liberia.
Other category comparisons 3 other winning choices
All eight categories for Paraguay against Liberia
Category
Paraguay
Liberia
Result
Areakm² · Higher wins ↑ · Chosen
406,752
111,369
Would win
Populationpeople · Higher wins ↑
6,844,146
5,493,031
Would win
Wealth per personint’l $ · Higher wins ↑
17,585
1,796
Would win
Densityper km² · Higher wins ↑
16.8
49.3
Would lose
Highest peakm · Higher wins ↑
842
1,447
Would lose
Coastlinekm · Higher wins ↑
0
579
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° S
7.0° N
Would lose
16
Round 16Won26 countries · 3 lives left
BelarusvsAlgeria
Wealth per person: 30,860 vs 16,838 int’l $ · Higher wins ↑
Conquered Algeria.
Other category comparisons 1 other winning choice
All eight categories for Belarus against Algeria
Category
Belarus
Algeria
Result
Areakm² · Higher wins ↑
207,600
2,381,740
Would lose
Populationpeople · Higher wins ↑
9,178,298
46,164,219
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
30,860
16,838
Would win
Densityper km² · Higher wins ↑
44.2
19.4
Would win
Highest peakm · Higher wins ↑
346
2,908
Would lose
Coastlinekm · Higher wins ↑
0
998
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
27.4° N
Would lose
17
Round 17Won27 countries · 3 lives left
LuxembourgvsPalestine
Wealth per person: 152,596 vs 6,179 int’l $ · Higher wins ↑
Conquered Palestine.
Other category comparisons 0 other winning choices
All eight categories for Luxembourg against Palestine
Category
Luxembourg
Palestine
Result
Areakm² · Higher wins ↑
2,586
6,220
Would lose
Populationpeople · Higher wins ↑
666,430
5,165,775
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
6,179
Would win
Densityper km² · Higher wins ↑
257.7
830.5
Would lose
Highest peakm · Higher wins ↑
559
1,020
Would lose
Coastlinekm · Higher wins ↑
0
40
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
32.1° N
Would lose
18
Round 18Won28 countries · 3 lives left
United KingdomvsTurkmenistan
Population: 68,526,000 vs 7,364,438 people · Higher wins ↑
Conquered Turkmenistan.
Other category comparisons 3 other winning choices
All eight categories for United Kingdom against Turkmenistan
Category
United Kingdom
Turkmenistan
Result
Areakm² · Higher wins ↑
243,610
488,100
Would lose
Populationpeople · Higher wins ↑ · Chosen
68,526,000
7,364,438
Would win
Wealth per personint’l $ · Higher wins ↑
60,787
19,645
Would win
Densityper km² · Higher wins ↑
281.3
15.1
Would win
Highest peakm · Higher wins ↑
1,345
3,139
Would lose
Coastlinekm · Higher wins ↑
12,429
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
39.9° N
Would lose
19
Round 19Tied28 countries · 3 lives left
North KoreavsColombia
Flag colours: 3 vs 3 colours · Higher wins ↑
Colombia became contested.
Other category comparisons 1 other winning choice
All eight categories for North Korea against Colombia
Category
North Korea
Colombia
Result
Areakm² · Higher wins ↑
120,538
1,138,910
Would lose
Populationpeople · Higher wins ↑
26,418,204
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
21,282
Unavailable
Densityper km² · Higher wins ↑
219.2
45.9
Would win
Highest peakm · Higher wins ↑
2,744
5,730
Would lose
Coastlinekm · Higher wins ↑
2,495
3,208
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
3.4° N
Would lose
20
Round 20Won30 countries · 3 lives left
PeruvsUkraine
Highest peak: 6,746 vs 2,061 m · Higher wins ↑
Conquered Ukraine, Colombia.
Other category comparisons 2 other winning choices
All eight categories for Peru against Ukraine
Category
Peru
Ukraine
Result
Areakm² · Higher wins ↑
1,285,216
603,550
Would win
Populationpeople · Higher wins ↑
33,845,617
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑
17,042
17,680
Would lose
Densityper km² · Higher wins ↑
26.3
62.5
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,746
2,061
Would win
Coastlinekm · Higher wins ↑
2,414
2,782
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Timor-Lestevs
Central African Republic
Paraguay
Belarus
Luxembourg
United Kingdom
North Korea
Peru
Zimbabwe
Jordan
United Arab Emirates
Moldova
China
Slovakia
DR Congo
Israel
Côte d’Ivoire
Philippines
Guinea
Eswatini
Cameroon
Egypt
Ethiopia
Trinidad and Tobago
Venezuela
Austria
Liberia
Algeria
Palestine
Turkmenistan
Colombia
Ukraine