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Untimed expedition · Data edition 01051846d672
84Wins
4Losses
8Ties
Explore the final empire · 99 countries
No countries match your search.
The path through the world
One choice at a time.
96 rounds
Where it began · 12 countries
Mauritania · Hungary · Botswana · Argentina · Australia · Rwanda · Cameroon · Oman · South Sudan · Guinea-Bissau · China · Uzbekistan
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
MauritaniavsMalawi
Coastline: 754 vs 0 km · Higher wins ↑
Conquered Malawi.
Other category comparisons 1 other winning choice
All eight categories for Mauritania against Malawi
Category
Mauritania
Malawi
Result
AreaBlocked in Hard · km² · Higher wins ↑
1,030,700
118,484
Would win
Populationpeople · Higher wins ↑
5,022,441
21,104,482
Would lose
Wealth per personint’l $ · Higher wins ↑
6,972
1,832
Would win
Densityper km² · Higher wins ↑
4.9
178.1
Would lose
Highest peakm · Higher wins ↑
915
3,002
Would lose
Coastlinekm · Higher wins ↑ · Chosen
754
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
13.4° S
Would lose
2
Round 2Won14 countries · 4 lives left
HungaryvsEritrea
Population: 9,592,186 vs 3,470,390 people · Higher wins ↑
Conquered Eritrea.
Other category comparisons 0 other winning choices
All eight categories for Hungary against Eritrea
Category
Hungary
Eritrea
Result
Areakm² · Higher wins ↑
93,028
117,600
Would lose
Populationpeople · Higher wins ↑ · Chosen
9,592,186
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
46,376
Unavailable
Unavailable
DensityBlocked in Hard · per km² · Higher wins ↑
103.1
29.5
Would win
Highest peakm · Higher wins ↑
1,014
3,018
Would lose
Coastlinekm · Higher wins ↑
0
2,234
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.3° N
16.0° N
Would lose
3
Round 3Tied14 countries · 4 lives left
BotswanavsRepublic of the Congo
Flag colours: 3 vs 3 colours · Higher wins ↑
Republic of the Congo became contested.
Other category comparisons 2 other winning choices
All eight categories for Botswana against Republic of the Congo
Category
Botswana
Republic of the Congo
Result
Areakm² · Higher wins ↑
581,730
342,000
Would win
Populationpeople · Higher wins ↑
2,480,244
6,182,885
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
21,029
6,856
Would win
Densityper km² · Higher wins ↑
4.3
18.1
Would lose
Highest peakm · Higher wins ↑
1,495
1,020
Would win
Coastlinekm · Higher wins ↑
0
169
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
22.1° S
0.1° N
Would lose
4
Round 4Won16 countries · 4 lives left
ArgentinavsKenya
Area: 2,780,400 vs 580,367 km² · Higher wins ↑
Conquered Kenya, Republic of the Congo.
Other category comparisons 2 other winning choices
All eight categories for Argentina against Kenya
Category
Argentina
Kenya
Result
Areakm² · Higher wins ↑ · Chosen
2,780,400
580,367
Would win
Populationpeople · Higher wins ↑
45,538,401
55,339,003
Would lose
Wealth per personint’l $ · Higher wins ↑
30,246
6,322
Would win
Densityper km² · Higher wins ↑
16.4
95.4
Would lose
Highest peakm · Higher wins ↑
6,962
5,199
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
4,989
536
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
0.4° N
Would lose
5
Round 5Won17 countries · 4 lives left
AustraliavsMexico
Wealth per person: 72,273 vs 25,188 int’l $ · Higher wins ↑
Conquered Mexico.
Other category comparisons 2 other winning choices
All eight categories for Australia against Mexico
Category
Australia
Mexico
Result
AreaBlocked in Hard · km² · Higher wins ↑
7,741,220
1,964,375
Would win
Populationpeople · Higher wins ↑
26,659,922
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,273
25,188
Would win
Densityper km² · Higher wins ↑
3.4
66.0
Would lose
Highest peakm · Higher wins ↑
2,228
5,636
Would lose
Coastlinekm · Higher wins ↑
25,760
9,330
Would win
Flag colourscolours · Higher wins ↑
3
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
23.5° N
Would win
6
Round 6Won18 countries · 4 lives left
RwandavsParaguay
Highest peak: 4,519 vs 842 m · Higher wins ↑
Conquered Paraguay.
Other category comparisons 2 other winning choices
All eight categories for Rwanda against Paraguay
Category
Rwanda
Paraguay
Result
Areakm² · Higher wins ↑
26,338
406,752
Would lose
Populationpeople · Higher wins ↑
13,954,471
6,844,146
Would win
Wealth per personint’l $ · Higher wins ↑
3,519
17,585
Would lose
DensityBlocked in Hard · per km² · Higher wins ↑
529.8
16.8
Would win
Highest peakm · Higher wins ↑ · Chosen
4,519
842
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.8° S
21.6° S
Would win
7
Round 7Won19 countries · 4 lives left
CameroonvsSlovenia
Coastline: 402 vs 46.6 km · Higher wins ↑
Conquered Slovenia.
Other category comparisons 3 other winning choices
All eight categories for Cameroon against Slovenia
Category
Cameroon
Slovenia
Result
AreaBlocked in Hard · km² · Higher wins ↑
475,440
20,273
Would win
Populationpeople · Higher wins ↑
28,372,687
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
5,415
56,151
Would lose
Densityper km² · Higher wins ↑
59.7
104.6
Would lose
Highest peakm · Higher wins ↑
4,045
2,864
Would win
Coastlinekm · Higher wins ↑ · Chosen
402
46.6
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
46.0° N
Would win
8
Round 8Won20 countries · 4 lives left
OmanvsMoldova
Area: 309,500 vs 33,851 km² · Higher wins ↑
Conquered Moldova.
Other category comparisons 4 other winning choices
All eight categories for Oman against Moldova
Category
Oman
Moldova
Result
Areakm² · Higher wins ↑ · Chosen
309,500
33,851
Would win
Populationpeople · Higher wins ↑
5,049,269
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
41,980
17,751
Would win
Densityper km² · Higher wins ↑
16.3
72.6
Would lose
Highest peakm · Higher wins ↑
3,004
430
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
2,092
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
47.5° N
Would win
9
Round 9Won21 countries · 4 lives left
South SudanvsArmenia
Proximity to equator: 7.1° N vs 40.6° N from the equator · Closer wins ↓
Conquered Armenia.
Other category comparisons 2 other winning choices
All eight categories for South Sudan against Armenia
Category
South Sudan
Armenia
Result
AreaBlocked in Hard · km² · Higher wins ↑
644,329
29,743
Would win
Populationpeople · Higher wins ↑
11,483,374
2,964,300
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
21,552
Unavailable
Densityper km² · Higher wins ↑
17.8
99.7
Would lose
Highest peakm · Higher wins ↑
3,187
4,090
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.1° N
40.6° N
Would win
10
Round 10Won22 countries · 4 lives left
Guinea-BissauvsEstonia
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Estonia.
Other category comparisons 2 other winning choices
All eight categories for Guinea-Bissau against Estonia
Category
Guinea-Bissau
Estonia
Result
Areakm² · Higher wins ↑
36,125
45,228
Would lose
Populationpeople · Higher wins ↑
2,153,339
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
2,956
48,848
Would lose
Densityper km² · Higher wins ↑
59.6
30.3
Would win
Highest peakm · Higher wins ↑
277
318
Would lose
Coastlinekm · Higher wins ↑
350
3,794
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorBlocked in Hard · from the equator · Closer wins ↓
12.1° N
58.6° N
Would win
11
Round 11Won23 countries · 4 lives left
ChinavsLibya
Area: 9,596,960 vs 1,759,540 km² · Higher wins ↑
Conquered Libya.
Other category comparisons 4 other winning choices
All eight categories for China against Libya
Category
China
Libya
Result
Areakm² · Higher wins ↑ · Chosen
9,596,960
1,759,540
Would win
PopulationBlocked in Hard · people · Higher wins ↑
1,410,710,000
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
13,858
Would win
Densityper km² · Higher wins ↑
147.0
4.2
Would win
Highest peakm · Higher wins ↑
8,849
2,267
Would win
Coastlinekm · Higher wins ↑
14,500
1,770
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
26.1° N
Would lose
12
Round 12Tied23 countries · 4 lives left
UzbekistanvsZambia
Flag colours: 4 vs 4 colours · Higher wins ↑
Zambia became contested.
Other category comparisons 3 other winning choices
All eight categories for Uzbekistan against Zambia
Category
Uzbekistan
Zambia
Result
Areakm² · Higher wins ↑
447,400
752,618
Would lose
Populationpeople · Higher wins ↑
35,652,307
20,723,965
Would win
Wealth per personint’l $ · Higher wins ↑
11,679
4,080
Would win
DensityBlocked in Hard · per km² · Higher wins ↑
79.7
27.5
Would win
Highest peakm · Higher wins ↑
4,643
2,330
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑ · Chosen
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
14.7° S
Would lose
13
Round 13Won25 countries · 4 lives left
MauritaniavsCzechia
Coastline: 754 vs 0 km · Higher wins ↑
Conquered Czechia, Zambia.
Other category comparisons 1 other winning choice
All eight categories for Mauritania against Czechia
Category
Mauritania
Czechia
Result
AreaBlocked in Hard · km² · Higher wins ↑
1,030,700
78,867
Would win
Populationpeople · Higher wins ↑
5,022,441
10,864,042
Would lose
Wealth per personint’l $ · Higher wins ↑
6,972
56,062
Would lose
Densityper km² · Higher wins ↑
4.9
137.8
Would lose
Highest peakm · Higher wins ↑
915
1,602
Would lose
Coastlinekm · Higher wins ↑ · Chosen
754
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
49.8° N
Would win
14
Round 14Won26 countries · 4 lives left
MalawivsMozambique
Proximity to equator: 13.4° S vs 14.0° S from the equator · Closer wins ↓
Conquered Mozambique.
Other category comparisons 2 other winning choices
All eight categories for Malawi against Mozambique
Category
Malawi
Mozambique
Result
Areakm² · Higher wins ↑
118,484
799,380
Would lose
Populationpeople · Higher wins ↑
21,104,482
33,635,160
Would lose
Wealth per personint’l $ · Higher wins ↑
1,832
1,680
Would win
DensityBlocked in Hard · per km² · Higher wins ↑
178.1
42.1
Would win
Highest peakm · Higher wins ↑
3,002
2,436
Would win
Coastlinekm · Higher wins ↑
0
2,470
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.4° S
14.0° S
Would win
15
Round 15Won27 countries · 4 lives left
HungaryvsLuxembourg
Population: 9,592,186 vs 666,430 people · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 2 other winning choices
All eight categories for Hungary against Luxembourg
Category
Hungary
Luxembourg
Result
AreaBlocked in Hard · km² · Higher wins ↑
93,028
2,586
Would win
Populationpeople · Higher wins ↑ · Chosen
9,592,186
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
46,376
152,596
Would lose
Densityper km² · Higher wins ↑
103.1
257.7
Would lose
Highest peakm · Higher wins ↑
1,014
559
Would win
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
49.7° N
Would win
16
Round 16Won28 countries · 4 lives left
EritreavsIceland
Population: 3,470,390 vs 385,663 people · Higher wins ↑
Conquered Iceland.
Other category comparisons 4 other winning choices
All eight categories for Eritrea against Iceland
Category
Eritrea
Iceland
Result
Areakm² · Higher wins ↑
117,600
103,000
Would win
Populationpeople · Higher wins ↑ · Chosen
3,470,390
385,663
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
82,257
Unavailable
Densityper km² · Higher wins ↑
29.5
3.7
Would win
Highest peakm · Higher wins ↑
3,018
2,110
Would win
Coastlinekm · Higher wins ↑
2,234
4,970
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorBlocked in Hard · from the equator · Closer wins ↓
16.0° N
64.7° N
Would win
17
Round 17Won29 countries · 4 lives left
BotswanavsLatvia
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Latvia.
Other category comparisons 3 other winning choices
All eight categories for Botswana against Latvia
Category
Botswana
Latvia
Result
AreaBlocked in Hard · km² · Higher wins ↑
581,730
64,589
Would win
Populationpeople · Higher wins ↑
2,480,244
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
21,029
42,784
Would lose
Densityper km² · Higher wins ↑
4.3
29.2
Would lose
Highest peakm · Higher wins ↑
1,495
312
Would win
Coastlinekm · Higher wins ↑
0
498
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.1° S
56.6° N
Would win
18
Round 18Won30 countries · 4 lives left
ArgentinavsPapua New Guinea
Population: 45,538,401 vs 10,389,635 people · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 2 other winning choices
All eight categories for Argentina against Papua New Guinea
Category
Argentina
Papua New Guinea
Result
AreaBlocked in Hard · km² · Higher wins ↑
2,780,400
462,840
Would win
Populationpeople · Higher wins ↑ · Chosen
45,538,401
10,389,635
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
4,672
Would win
Densityper km² · Higher wins ↑
16.4
22.4
Would lose
Highest peakm · Higher wins ↑
6,962
4,509
Would win
Coastlinekm · Higher wins ↑
4,989
5,152
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
5.5° S
Would lose
19
Round 19Won31 countries · 4 lives left
KenyavsLebanon
Population: 55,339,003 vs 5,773,493 people · Higher wins ↑
Conquered Lebanon.
Other category comparisons 4 other winning choices
All eight categories for Kenya against Lebanon
Category
Kenya
Lebanon
Result
AreaBlocked in Hard · km² · Higher wins ↑
580,367
10,400
Would win
Populationpeople · Higher wins ↑ · Chosen
55,339,003
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
6,322
12,585
Would lose
Densityper km² · Higher wins ↑
95.4
555.1
Would lose
Highest peakm · Higher wins ↑
5,199
3,088
Would win
Coastlinekm · Higher wins ↑
536
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
0.4° N
34.2° N
Would win
20
Round 20Won32 countries · 4 lives left
Republic of the CongovsAfghanistan
Coastline: 169 vs 0 km · Higher wins ↑
Conquered Afghanistan.
Other category comparisons 1 other winning choice
All eight categories for Republic of the Congo against Afghanistan
Category
Republic of the Congo
Afghanistan
Result
Areakm² · Higher wins ↑
342,000
652,230
Would lose
Populationpeople · Higher wins ↑
6,182,885
41,454,761
Would lose
Wealth per personint’l $ · Higher wins ↑
6,856
2,204
Would win
Densityper km² · Higher wins ↑
18.1
63.6
Would lose
Highest peakm · Higher wins ↑
1,020
7,492
Would lose
Coastlinekm · Higher wins ↑ · Chosen
169
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorBlocked in Hard · from the equator · Closer wins ↓
Mauritaniavs
Malawi
Hungary
Eritrea
Botswana
Republic of the Congo
Argentina
Kenya
Australia
Mexico
Rwanda
Paraguay
Cameroon
Slovenia
Oman
Moldova
South Sudan
Armenia
Guinea-Bissau
Estonia
China
Libya
Uzbekistan
Zambia
Czechia
Mozambique
Luxembourg
Iceland
Latvia
Papua New Guinea
Lebanon
Afghanistan