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
14Wins
4Losses
0Ties
Explore the final empire · 22 countries
No countries match your search.
The path through the world
One choice at a time.
18 rounds
Where it began · 12 countries
Rwanda · Liberia · Germany · Cyprus · Iran · Burkina Faso · Kyrgyzstan · Romania · Saudi Arabia · Mozambique · Slovenia · Italy
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
RwandavsMalaysia
Density: 529.8 vs 106.5 per km² · Higher wins ↑
Conquered Malaysia.
Other category comparisons 2 other winning choices
All eight categories for Rwanda against Malaysia
Category
Rwanda
Malaysia
Result
Areakm² · Higher wins ↑
26,338
329,847
Would lose
Populationpeople · Higher wins ↑
13,954,471
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑
3,519
36,497
Would lose
Densityper km² · Higher wins ↑ · Chosen
529.8
106.5
Would win
Highest peakm · Higher wins ↑
4,519
4,095
Would win
Coastlinekm · Higher wins ↑
0
4,675
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.8° S
4.4° N
Would win
2
Round 2Lost12 countries · 3 lives left
LiberiavsPapua New Guinea
Proximity to equator: 7.0° N vs 5.5° S from the equator · Closer wins ↓
Returned to the world: Liberia.
Other category comparisons 1 other winning choice
All eight categories for Liberia against Papua New Guinea
Category
Liberia
Papua New Guinea
Result
Areakm² · Higher wins ↑
111,369
462,840
Would lose
Populationpeople · Higher wins ↑
5,493,031
10,389,635
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
4,672
Would lose
Densityper km² · Higher wins ↑
49.3
22.4
Would win
Highest peakm · Higher wins ↑
1,447
4,509
Would lose
Coastlinekm · Higher wins ↑
579
5,152
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
5.5° S
Would lose
3
Round 3Won13 countries · 3 lives left
GermanyvsEritrea
Area: 357,022 vs 117,600 km² · Higher wins ↑
Conquered Eritrea.
Other category comparisons 3 other winning choices
All eight categories for Germany against Eritrea
Category
Germany
Eritrea
Result
Areakm² · Higher wins ↑ · Chosen
357,022
117,600
Would win
Populationpeople · Higher wins ↑
83,287,273
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
72,262
Unavailable
Unavailable
Densityper km² · Higher wins ↑
233.3
29.5
Would win
Highest peakm · Higher wins ↑
2,963
3,018
Would lose
Coastlinekm · Higher wins ↑
2,389
2,234
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
16.0° N
Would lose
4
Round 4Lost12 countries · 2 lives left
CyprusvsBrunei
Wealth per person: 59,875 vs 85,103 int’l $ · Higher wins ↑
Returned to the world: Cyprus.
Other category comparisons 5 other winning choices
All eight categories for Cyprus against Brunei
Category
Cyprus
Brunei
Result
Areakm² · Higher wins ↑
9,251
5,765
Would win
Populationpeople · Higher wins ↑
1,344,976
458,949
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
59,875
85,103
Would lose
Densityper km² · Higher wins ↑
145.4
79.6
Would win
Highest peakm · Higher wins ↑
1,951
1,850
Would win
Coastlinekm · Higher wins ↑
648
161
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
4.5° N
Would lose
5
Round 5Won13 countries · 2 lives left
IranvsMoldova
Area: 1,648,195 vs 33,851 km² · Higher wins ↑
Conquered Moldova.
Other category comparisons 5 other winning choices
All eight categories for Iran against Moldova
Category
Iran
Moldova
Result
Areakm² · Higher wins ↑ · Chosen
1,648,195
33,851
Would win
Populationpeople · Higher wins ↑
90,608,707
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
18,933
17,751
Would win
Densityper km² · Higher wins ↑
55.0
72.6
Would lose
Highest peakm · Higher wins ↑
5,625
430
Would win
Coastlinekm · Higher wins ↑
2,440
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
47.5° N
Would win
6
Round 6Won14 countries · 2 lives left
Burkina FasovsBolivia
Density: 84.0 vs 11.1 per km² · Higher wins ↑
Conquered Bolivia.
Other category comparisons 2 other winning choices
All eight categories for Burkina Faso against Bolivia
Category
Burkina Faso
Bolivia
Result
Areakm² · Higher wins ↑
274,200
1,098,581
Would lose
Populationpeople · Higher wins ↑
23,025,776
12,244,159
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
12,903
Would lose
Densityper km² · Higher wins ↑ · Chosen
84.0
11.1
Would win
Highest peakm · Higher wins ↑
749
6,542
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.8° N
16.7° S
Would win
7
Round 7Won15 countries · 2 lives left
KyrgyzstanvsCroatia
Highest peak: 7,439 vs 1,831 m · Higher wins ↑
Conquered Croatia.
Other category comparisons 3 other winning choices
All eight categories for Kyrgyzstan against Croatia
Category
Kyrgyzstan
Croatia
Result
Areakm² · Higher wins ↑
199,951
56,594
Would win
Populationpeople · Higher wins ↑
7,099,750
3,859,686
Would win
Wealth per personint’l $ · Higher wins ↑
7,304
47,760
Would lose
Densityper km² · Higher wins ↑
35.5
68.2
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,439
1,831
Would win
Coastlinekm · Higher wins ↑
0
5,835
Would lose
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.7° N
45.8° N
Would win
8
Round 8Lost14 countries · 1 life left
RomaniavsTurkmenistan
Area: 238,391 vs 488,100 km² · Higher wins ↑
Returned to the world: Romania.
Other category comparisons 4 other winning choices
All eight categories for Romania against Turkmenistan
Category
Romania
Turkmenistan
Result
Areakm² · Higher wins ↑ · Chosen
238,391
488,100
Would lose
Populationpeople · Higher wins ↑
19,061,062
7,364,438
Would win
Wealth per personint’l $ · Higher wins ↑
45,982
19,645
Would win
Densityper km² · Higher wins ↑
80.0
15.1
Would win
Highest peakm · Higher wins ↑
2,544
3,139
Would lose
Coastlinekm · Higher wins ↑
225
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.7° N
39.9° N
Would lose
9
Round 9Won15 countries · 1 life left
Saudi ArabiavsEquatorial Guinea
Wealth per person: 71,624 vs 16,997 int’l $ · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 3 other winning choices
All eight categories for Saudi Arabia against Equatorial Guinea
Category
Saudi Arabia
Equatorial Guinea
Result
Areakm² · Higher wins ↑
2,149,690
28,051
Would win
Populationpeople · Higher wins ↑
33,702,731
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
71,624
16,997
Would win
Densityper km² · Higher wins ↑
15.7
65.9
Would lose
Highest peakm · Higher wins ↑
3,000
3,008
Would lose
Coastlinekm · Higher wins ↑
2,640
296
Would win
Flag colourscolours · Higher wins ↑
2
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
1.6° N
Would lose
10
Round 10Won16 countries · 1 life left
MozambiquevsCanada
Density: 42.1 vs 4.0 per km² · Higher wins ↑
Conquered Canada.
Other category comparisons 2 other winning choices
All eight categories for Mozambique against Canada
Category
Mozambique
Canada
Result
Areakm² · Higher wins ↑
799,380
9,984,670
Would lose
Populationpeople · Higher wins ↑
33,635,160
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
1,680
64,962
Would lose
Densityper km² · Higher wins ↑ · Chosen
42.1
4.0
Would win
Highest peakm · Higher wins ↑
2,436
5,959
Would lose
Coastlinekm · Higher wins ↑
2,470
202,080
Would lose
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.0° S
58.8° N
Would win
11
Round 11Won17 countries · 1 life left
SloveniavsNamibia
Wealth per person: 56,151 vs 11,248 int’l $ · Higher wins ↑
Conquered Namibia.
Other category comparisons 2 other winning choices
All eight categories for Slovenia against Namibia
Category
Slovenia
Namibia
Result
Areakm² · Higher wins ↑
20,273
824,292
Would lose
Populationpeople · Higher wins ↑
2,120,461
2,963,095
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,151
11,248
Would win
Densityper km² · Higher wins ↑
104.6
3.6
Would win
Highest peakm · Higher wins ↑
2,864
2,573
Would win
Coastlinekm · Higher wins ↑
46.6
1,572
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
20.6° S
Would lose
12
Round 12Won18 countries · 1 life left
ItalyvsVenezuela
Coastline: 7,600 vs 2,800 km · Higher wins ↑
Conquered Venezuela.
Other category comparisons 2 other winning choices
All eight categories for Italy against Venezuela
Category
Italy
Venezuela
Result
Areakm² · Higher wins ↑
301,340
912,050
Would lose
Populationpeople · Higher wins ↑
58,984,216
28,300,854
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
60,350
Unavailable
Unavailable
Densityper km² · Higher wins ↑
195.7
31.0
Would win
Highest peakm · Higher wins ↑
4,748
4,978
Would lose
Coastlinekm · Higher wins ↑ · Chosen
7,600
2,800
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
7.2° N
Would lose
13
Round 13Won19 countries · 1 life left
RwandavsSouth Africa
Proximity to equator: 1.8° S vs 30.2° S from the equator · Closer wins ↓
Conquered South Africa.
Other category comparisons 2 other winning choices
All eight categories for Rwanda against South Africa
Category
Rwanda
South Africa
Result
Areakm² · Higher wins ↑
26,338
1,219,090
Would lose
Populationpeople · Higher wins ↑
13,954,471
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
3,519
15,212
Would lose
Densityper km² · Higher wins ↑
529.8
51.9
Would win
Highest peakm · Higher wins ↑
4,519
3,450
Would win
Coastlinekm · Higher wins ↑
0
2,798
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.8° S
30.2° S
Would win
14
Round 14Won20 countries · 1 life left
MalaysiavsBangladesh
Coastline: 4,675 vs 580 km · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 5 other winning choices
All eight categories for Malaysia against Bangladesh
Category
Malaysia
Bangladesh
Result
Areakm² · Higher wins ↑
329,847
148,460
Would win
Populationpeople · Higher wins ↑
35,126,298
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑
36,497
9,155
Would win
Densityper km² · Higher wins ↑
106.5
1,155.0
Would lose
Highest peakm · Higher wins ↑
4,095
1,060
Would win
Coastlinekm · Higher wins ↑ · Chosen
4,675
580
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
24.3° N
Would win
15
Round 15Won21 countries · 1 life left
GermanyvsMexico
Wealth per person: 72,262 vs 25,188 int’l $ · Higher wins ↑
Conquered Mexico.
Other category comparisons 1 other winning choice
All eight categories for Germany against Mexico
Category
Germany
Mexico
Result
Areakm² · Higher wins ↑
357,022
1,964,375
Would lose
Populationpeople · Higher wins ↑
83,287,273
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,262
25,188
Would win
Densityper km² · Higher wins ↑
233.3
66.0
Would win
Highest peakm · Higher wins ↑
2,963
5,636
Would lose
Coastlinekm · Higher wins ↑
2,389
9,330
Would lose
Flag colourscolours · Higher wins ↑
3
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
23.5° N
Would lose
16
Round 16Won22 countries · 1 life left
EritreavsAzerbaijan
Coastline: 2,234 vs 0 km · Higher wins ↑
Conquered Azerbaijan.
Other category comparisons 2 other winning choices
All eight categories for Eritrea against Azerbaijan
Category
Eritrea
Azerbaijan
Result
Areakm² · Higher wins ↑
117,600
86,600
Would win
Populationpeople · Higher wins ↑
3,470,390
10,153,958
Would lose
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
23,671
Unavailable
Densityper km² · Higher wins ↑
29.5
117.3
Would lose
Highest peakm · Higher wins ↑
3,018
4,466
Would lose
Coastlinekm · Higher wins ↑ · Chosen
2,234
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
16.0° N
40.5° N
Would win
17
Round 17Won23 countries · 1 life left
IranvsBahrain
Area: 1,648,195 vs 760 km² · Higher wins ↑
Conquered Bahrain.
Other category comparisons 4 other winning choices
All eight categories for Iran against Bahrain
Category
Iran
Bahrain
Result
Areakm² · Higher wins ↑ · Chosen
1,648,195
760
Would win
Populationpeople · Higher wins ↑
90,608,707
1,577,059
Would win
Wealth per personint’l $ · Higher wins ↑
18,933
64,224
Would lose
Densityper km² · Higher wins ↑
55.0
2,075.1
Would lose
Highest peakm · Higher wins ↑
5,625
135
Would win
Coastlinekm · Higher wins ↑
2,440
161
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
26.0° N
Would lose
18
Round 18Lost22 countries · 0 lives left
MoldovavsPortugal
Highest peak: 430 vs 2,351 m · Higher wins ↑
Returned to the world: Moldova.
Other category comparisons 1 other winning choice
All eight categories for Moldova against Portugal
Category
Moldova
Portugal
Result
Areakm² · Higher wins ↑
33,851
92,090
Would lose
Populationpeople · Higher wins ↑
2,457,783
10,578,174
Would lose
Wealth per personint’l $ · Higher wins ↑
17,751
49,800
Would lose
Densityper km² · Higher wins ↑
72.6
114.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
430
2,351
Would lose
Coastlinekm · Higher wins ↑
0
1,793
Would lose
Flag colourscolours · Higher wins ↑
9
6
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Rwandavs
Malaysia
Liberia
Papua New Guinea
Germany
Eritrea
Cyprus
Brunei
Iran
Moldova
Burkina Faso
Bolivia
Kyrgyzstan
Croatia
Romania
Turkmenistan
Saudi Arabia
Equatorial Guinea
Mozambique
Canada
Slovenia
Namibia
Italy
Venezuela
South Africa
Bangladesh
Mexico
Azerbaijan
Bahrain
Portugal