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
42Wins
4Losses
0Ties
Explore the final empire · 50 countries
No countries match your search.
The path through the world
One choice at a time.
46 rounds
Where it began · 12 countries
Paraguay · Tajikistan · North Korea · Singapore · Mexico · Eritrea · Bahamas · Uzbekistan · Argentina · Spain · Switzerland · Djibouti
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
MexicovsRepublic of the Congo
Area: 1,964,375 vs 342,000 km² · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 5 other winning choices
All eight categories for Mexico against Republic of the Congo
Category
Mexico
Republic of the Congo
Result
Areakm² · Higher wins ↑ · Chosen
1,964,375
342,000
Would win
Populationpeople · Higher wins ↑
129,739,759
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
6,856
Would win
Densityper km² · Higher wins ↑
66.0
18.1
Would win
Highest peakm · Higher wins ↑
5,636
1,020
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
9,330
169
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
0.1° N
Would lose
22
Round 22Won32 countries · 3 lives left
South SudanvsSri Lanka
Flag colours: 6 vs 5 colours · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 1 other winning choice
All eight categories for South Sudan against Sri Lanka
Category
South Sudan
Sri Lanka
Result
AreaBlocked in Hard · km² · Higher wins ↑
644,329
65,610
Would win
Populationpeople · Higher wins ↑
11,483,374
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
14,512
Unavailable
Densityper km² · Higher wins ↑
17.8
335.9
Would lose
Highest peakm · Higher wins ↑
3,187
2,524
Would win
Coastlinekm · Higher wins ↑
0
1,340
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
6
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
7.1° N
Would tie
23
Round 23Won33 countries · 3 lives left
EritreavsPeru
Density: 29.5 vs 26.3 per km² · Higher wins ↑
Conquered Peru.
Other category comparisons 0 other winning choices
All eight categories for Eritrea against Peru
Category
Eritrea
Peru
Result
Areakm² · Higher wins ↑
117,600
1,285,216
Would lose
Populationpeople · Higher wins ↑
3,470,390
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
17,042
Unavailable
Densityper km² · Higher wins ↑ · Chosen
29.5
26.3
Would win
Highest peakm · Higher wins ↑
3,018
6,746
Would lose
Coastlinekm · Higher wins ↑
2,234
2,414
Would lose
Flag coloursBlocked in Hard · colours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.0° N
13.0° S
Would lose
24
Round 24Won34 countries · 3 lives left
BeninvsMalaysia
Density: 125.3 vs 106.5 per km² · Higher wins ↑
Conquered Malaysia.
Other category comparisons 0 other winning choices
All eight categories for Benin against Malaysia
Category
Benin
Malaysia
Result
Areakm² · Higher wins ↑
112,622
329,847
Would lose
Populationpeople · Higher wins ↑
14,111,034
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑
4,133
36,497
Would lose
Densityper km² · Higher wins ↑ · Chosen
125.3
106.5
Would win
Highest peakm · Higher wins ↑
675
4,095
Would lose
Coastlinekm · Higher wins ↑
121
4,675
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.4° N
4.4° N
Would lose
25
Round 25Won35 countries · 3 lives left
BahamasvsMalawi
Wealth per person: 39,122 vs 1,832 int’l $ · Higher wins ↑
Conquered Malawi.
Other category comparisons 0 other winning choices
All eight categories for Bahamas against Malawi
Category
Bahamas
Malawi
Result
Areakm² · Higher wins ↑
13,880
118,484
Would lose
Populationpeople · Higher wins ↑
399,440
21,104,482
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
39,122
1,832
Would win
Densityper km² · Higher wins ↑
28.8
178.1
Would lose
Highest peakm · Higher wins ↑
64
3,002
Would lose
CoastlineBlocked in Hard · km · Higher wins ↑
3,542
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
24.7° N
13.4° S
Would lose
26
Round 26Won36 countries · 3 lives left
NepalvsTurkmenistan
Highest peak: 8,849 vs 3,139 m · Higher wins ↑
Conquered Turkmenistan.
Other category comparisons 2 other winning choices
All eight categories for Nepal against Turkmenistan
Category
Nepal
Turkmenistan
Result
Areakm² · Higher wins ↑
147,181
488,100
Would lose
Populationpeople · Higher wins ↑
29,694,614
7,364,438
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
19,645
Would lose
DensityBlocked in Hard · per km² · Higher wins ↑
201.8
15.1
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
3,139
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
39.9° N
Would win
27
Round 27Won37 countries · 3 lives left
UzbekistanvsUnited Kingdom
Proximity to equator: 41.5° N vs 52.5° N from the equator · Closer wins ↓
Conquered United Kingdom.
Other category comparisons 2 other winning choices
All eight categories for Uzbekistan against United Kingdom
Category
Uzbekistan
United Kingdom
Result
Areakm² · Higher wins ↑
447,400
243,610
Would win
Populationpeople · Higher wins ↑
35,652,307
68,526,000
Would lose
Wealth per personint’l $ · Higher wins ↑
11,679
60,787
Would lose
Densityper km² · Higher wins ↑
79.7
281.3
Would lose
Highest peakBlocked in Hard · m · Higher wins ↑
4,643
1,345
Would win
Coastlinekm · Higher wins ↑
0
12,429
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
41.5° N
52.5° N
Would win
28
Round 28Won38 countries · 3 lives left
ChadvsIran
Proximity to equator: 17.3° N vs 32.1° N from the equator · Closer wins ↓
Conquered Iran.
Other category comparisons 0 other winning choices
All eight categories for Chad against Iran
Category
Chad
Iran
Result
Areakm² · Higher wins ↑
1,284,000
1,648,195
Would lose
Populationpeople · Higher wins ↑
19,319,064
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑
2,703
18,933
Would lose
Densityper km² · Higher wins ↑
15.0
55.0
Would lose
Highest peakm · Higher wins ↑
3,445
5,625
Would lose
Coastlinekm · Higher wins ↑
0
2,440
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
17.3° N
32.1° N
Would win
29
Round 29Won39 countries · 3 lives left
ArgentinavsChile
Population: 45,538,401 vs 19,658,835 people · Higher wins ↑
Conquered Chile.
Other category comparisons 2 other winning choices
All eight categories for Argentina against Chile
Category
Argentina
Chile
Result
AreaBlocked in Hard · km² · Higher wins ↑
2,780,400
756,102
Would win
Populationpeople · Higher wins ↑ · Chosen
45,538,401
19,658,835
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
33,174
Would lose
Densityper km² · Higher wins ↑
16.4
26.0
Would lose
Highest peakm · Higher wins ↑
6,962
6,893
Would win
Coastlinekm · Higher wins ↑
4,989
6,435
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
23.4° S
Would lose
30
Round 30Won40 countries · 3 lives left
LiberiavsLaos
Density: 49.3 vs 32.4 per km² · Higher wins ↑
Conquered Laos.
Other category comparisons 1 other winning choice
All eight categories for Liberia against Laos
Category
Liberia
Laos
Result
Areakm² · Higher wins ↑
111,369
236,800
Would lose
Populationpeople · Higher wins ↑
5,493,031
7,664,993
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
9,299
Would lose
Densityper km² · Higher wins ↑ · Chosen
49.3
32.4
Would win
Highest peakm · Higher wins ↑
1,447
2,817
Would lose
CoastlineBlocked in Hard · km · Higher wins ↑
579
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
19.6° N
Would win
31
Round 31Won41 countries · 3 lives left
SpainvsPoland
Proximity to equator: 40.0° N vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 5 other winning choices
All eight categories for Spain against Poland
Category
Spain
Poland
Result
Areakm² · Higher wins ↑
505,370
312,685
Would win
Populationpeople · Higher wins ↑
48,352,528
36,687,353
Would win
Wealth per personint’l $ · Higher wins ↑
55,661
48,473
Would win
Densityper km² · Higher wins ↑
95.7
117.3
Would lose
Highest peakm · Higher wins ↑
3,718
2,499
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
4,964
440
Would win
Flag colourscolours · Higher wins ↑
10
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
40.0° N
51.9° N
Would win
32
Round 32Won42 countries · 3 lives left
GermanyvsFrance
Wealth per person: 72,262 vs 60,927 int’l $ · Higher wins ↑
Conquered France.
Other category comparisons 1 other winning choice
All eight categories for Germany against France
Category
Germany
France
Result
Areakm² · Higher wins ↑
357,022
551,500
Would lose
Populationpeople · Higher wins ↑
83,287,273
65,925,961
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,262
60,927
Would win
DensityBlocked in Hard · per km² · Higher wins ↑
233.3
119.5
Would win
Highest peakm · Higher wins ↑
2,963
4,810
Would lose
Coastlinekm · Higher wins ↑
2,389
3,427
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
46.7° N
Would lose
33
Round 33Won43 countries · 3 lives left
SwitzerlandvsGuinea-Bissau
Highest peak: 4,634 vs 277 m · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 3 other winning choices
All eight categories for Switzerland against Guinea-Bissau
Category
Switzerland
Guinea-Bissau
Result
Areakm² · Higher wins ↑
41,277
36,125
Would win
Populationpeople · Higher wins ↑
8,888,822
2,153,339
Would win
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
93,940
2,956
Would win
Densityper km² · Higher wins ↑
215.3
59.6
Would win
Highest peakm · Higher wins ↑ · Chosen
4,634
277
Would win
Coastlinekm · Higher wins ↑
0
350
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
12.1° N
Would lose
34
Round 34Won44 countries · 3 lives left
EcuadorvsColombia
Proximity to equator: 1.2° S vs 3.4° N from the equator · Closer wins ↓
Conquered Colombia.
Other category comparisons 2 other winning choices
All eight categories for Ecuador against Colombia
Category
Ecuador
Colombia
Result
Areakm² · Higher wins ↑
283,561
1,138,910
Would lose
Populationpeople · Higher wins ↑
17,980,083
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑
15,907
21,282
Would lose
Densityper km² · Higher wins ↑
63.4
45.9
Would win
Highest peakm · Higher wins ↑
6,267
5,730
Would win
Coastlinekm · Higher wins ↑
2,237
3,208
Would lose
Flag coloursBlocked in Hard · colours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.2° S
3.4° N
Would win
35
Round 35Won45 countries · 3 lives left
ParaguayvsAzerbaijan
Proximity to equator: 21.6° S vs 40.5° N from the equator · Closer wins ↓
Conquered Azerbaijan.
Other category comparisons 1 other winning choice
All eight categories for Paraguay against Azerbaijan
Category
Paraguay
Azerbaijan
Result
AreaBlocked in Hard · km² · Higher wins ↑
406,752
86,600
Would win
Populationpeople · Higher wins ↑
6,844,146
10,153,958
Would lose
Wealth per personint’l $ · Higher wins ↑
17,585
23,671
Would lose
Densityper km² · Higher wins ↑
16.8
117.3
Would lose
Highest peakm · Higher wins ↑
842
4,466
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
21.6° S
40.5° N
Would win
36
Round 36Won46 countries · 3 lives left
LatviavsSlovenia
Area: 64,589 vs 20,273 km² · Higher wins ↑
Conquered Slovenia.
Other category comparisons 0 other winning choices
All eight categories for Latvia against Slovenia
Category
Latvia
Slovenia
Result
Areakm² · Higher wins ↑ · Chosen
64,589
20,273
Would win
Populationpeople · Higher wins ↑
1,883,710
2,120,461
Would lose
Wealth per personint’l $ · Higher wins ↑
42,784
56,151
Would lose
Densityper km² · Higher wins ↑
29.2
104.6
Would lose
Highest peakm · Higher wins ↑
312
2,864
Would lose
CoastlineBlocked in Hard · km · Higher wins ↑
498
46.6
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
46.0° N
Would lose
37
Round 37Won47 countries · 3 lives left
FinlandvsGuatemala
Coastline: 1,250 vs 400 km · Higher wins ↑
Conquered Guatemala.
Other category comparisons 1 other winning choice
All eight categories for Finland against Guatemala
Category
Finland
Guatemala
Result
Areakm² · Higher wins ↑
338,145
108,889
Would win
Populationpeople · Higher wins ↑
5,583,911
18,124,838
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
63,467
13,752
Would win
Densityper km² · Higher wins ↑
16.5
166.5
Would lose
Highest peakm · Higher wins ↑
1,328
4,220
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,250
400
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
15.0° N
Would lose
38
Round 38Won48 countries · 3 lives left
LithuaniavsCosta Rica
Area: 65,300 vs 51,100 km² · Higher wins ↑
Conquered Costa Rica.
Other category comparisons 0 other winning choices
All eight categories for Lithuania against Costa Rica
Category
Lithuania
Costa Rica
Result
Areakm² · Higher wins ↑ · Chosen
65,300
51,100
Would win
Populationpeople · Higher wins ↑
2,871,585
5,105,525
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
52,720
29,248
Would win
Densityper km² · Higher wins ↑
44.0
99.9
Would lose
Highest peakm · Higher wins ↑
294
3,819
Would lose
Coastlinekm · Higher wins ↑
90
1,290
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
10.1° N
Would lose
39
Round 39Lost47 countries · 2 lives left
TajikistanvsZimbabwe
Wealth per person: 4,968 vs 5,796 int’l $ · Higher wins ↑
Returned to the world: Tajikistan.
Other category comparisons 1 other winning choice
All eight categories for Tajikistan against Zimbabwe
Category
Tajikistan
Zimbabwe
Result
Areakm² · Higher wins ↑
144,100
390,757
Would lose
Populationpeople · Higher wins ↑
10,389,799
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
4,968
5,796
Would lose
Densityper km² · Higher wins ↑
72.1
41.8
Would win
Highest peakBlocked in Hard · m · Higher wins ↑
7,495
2,592
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
19.0° S
Would lose
40
Round 40Won48 countries · 2 lives left
Papua New GuineavsJordan
Proximity to equator: 5.5° S vs 30.7° N from the equator · Closer wins ↓
Conquered Jordan.
Other category comparisons 2 other winning choices
All eight categories for Papua New Guinea against Jordan
Category
Papua New Guinea
Jordan
Result
Areakm² · Higher wins ↑
462,840
89,342
Would win
Populationpeople · Higher wins ↑
10,389,635
11,439,213
Would lose
Wealth per personint’l $ · Higher wins ↑
4,672
11,451
Would lose
Densityper km² · Higher wins ↑
22.4
128.0
Would lose
Highest peakm · Higher wins ↑
4,509
1,854
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
5,152
26
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Mexicovs
Republic of the Congo
South Sudan
Sri Lanka
Eritrea
Peru
Benin
Malaysia
Bahamas
Malawi
Nepal
Turkmenistan
Uzbekistan
United Kingdom
Chad
Iran
Argentina
Chile
Liberia
Laos
Spain
Poland
Germany
France
Switzerland
Guinea-Bissau
Ecuador
Colombia
Paraguay
Azerbaijan
Latvia
Slovenia
Finland
Guatemala
Lithuania
Costa Rica
Tajikistan
Zimbabwe
Papua New Guinea
Jordan