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Untimed expedition · Data edition 01051846d672
162Wins
2Losses
2Ties
Explore the final empire · 174 countries
No countries match your search.
The path through the world
One choice at a time.
166 rounds
Where it began · 12 countries
Guyana · Zambia · Jamaica · Iceland · Cambodia · Trinidad and Tobago · Peru · Cuba · Denmark · Myanmar · Cameroon · Gambia
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
GuyanavsMauritania
Proximity to equator: 2.7° N vs 19.4° N from the equator · Closer wins ↓
Conquered Mauritania.
Other category comparisons 3 other winning choices
All eight categories for Guyana against Mauritania
Category
Guyana
Mauritania
Result
Areakm² · Higher wins ↑
214,969
1,030,700
Would lose
Populationpeople · Higher wins ↑
826,353
5,022,441
Would lose
Wealth per personint’l $ · Higher wins ↑
54,774
6,972
Would win
Densityper km² · Higher wins ↑
3.8
4.9
Would lose
Highest peakm · Higher wins ↑
2,775
915
Would win
Coastlinekm · Higher wins ↑
459
754
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
2.7° N
19.4° N
Would win
2
Round 2Won14 countries · 4 lives left
ZambiavsMalawi
Area: 752,618 vs 118,484 km² · Higher wins ↑
Conquered Malawi.
Other category comparisons 2 other winning choices
All eight categories for Zambia against Malawi
Category
Zambia
Malawi
Result
Areakm² · Higher wins ↑ · Chosen
752,618
118,484
Would win
Populationpeople · Higher wins ↑
20,723,965
21,104,482
Would lose
Wealth per personint’l $ · Higher wins ↑
4,080
1,832
Would win
Densityper km² · Higher wins ↑
27.5
178.1
Would lose
Highest peakm · Higher wins ↑
2,330
3,002
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.7° S
13.4° S
Would lose
3
Round 3Won15 countries · 4 lives left
JamaicavsComoros
Area: 10,991 vs 2,235 km² · Higher wins ↑
Conquered Comoros.
Other category comparisons 3 other winning choices
All eight categories for Jamaica against Comoros
Category
Jamaica
Comoros
Result
Areakm² · Higher wins ↑ · Chosen
10,991
2,235
Would win
Populationpeople · Higher wins ↑
2,839,786
850,387
Would win
Wealth per personint’l $ · Higher wins ↑
12,661
3,897
Would win
Densityper km² · Higher wins ↑
258.4
380.5
Would lose
Highest peakm · Higher wins ↑
2,256
2,360
Would lose
Coastlinekm · Higher wins ↑
1,022
340
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
18.1° N
11.7° S
Would lose
4
Round 4Won16 countries · 4 lives left
IcelandvsMoldova
Coastline: 4,970 vs 0 km · Higher wins ↑
Conquered Moldova.
Other category comparisons 3 other winning choices
All eight categories for Iceland against Moldova
Category
Iceland
Moldova
Result
Areakm² · Higher wins ↑
103,000
33,851
Would win
Populationpeople · Higher wins ↑
385,663
2,457,783
Would lose
Wealth per personint’l $ · Higher wins ↑
82,257
17,751
Would win
Densityper km² · Higher wins ↑
3.7
72.6
Would lose
Highest peakm · Higher wins ↑
2,110
430
Would win
Coastlinekm · Higher wins ↑ · Chosen
4,970
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
47.5° N
Would lose
5
Round 5Won17 countries · 4 lives left
CambodiavsEstonia
Population: 17,423,880 vs 1,370,286 people · Higher wins ↑
Conquered Estonia.
Other category comparisons 5 other winning choices
All eight categories for Cambodia against Estonia
Category
Cambodia
Estonia
Result
Areakm² · Higher wins ↑
181,035
45,228
Would win
Populationpeople · Higher wins ↑ · Chosen
17,423,880
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
7,437
48,848
Would lose
Densityper km² · Higher wins ↑
96.2
30.3
Would win
Highest peakm · Higher wins ↑
1,810
318
Would win
Coastlinekm · Higher wins ↑
443
3,794
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
58.6° N
Would win
6
Round 6Won18 countries · 4 lives left
Trinidad and TobagovsHaiti
Wealth per person: 34,652 vs 3,265 int’l $ · Higher wins ↑
Conquered Haiti.
Other category comparisons 1 other winning choice
All eight categories for Trinidad and Tobago against Haiti
Category
Trinidad and Tobago
Haiti
Result
Areakm² · Higher wins ↑
5,128
27,750
Would lose
Populationpeople · Higher wins ↑
1,367,510
11,637,398
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
34,652
3,265
Would win
Densityper km² · Higher wins ↑
266.7
419.4
Would lose
Highest peakm · Higher wins ↑
940
2,674
Would lose
Coastlinekm · Higher wins ↑
362
1,771
Would lose
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.3° N
19.2° N
Would win
7
Round 7Won19 countries · 4 lives left
PeruvsEcuador
Highest peak: 6,746 vs 6,267 m · Higher wins ↑
Conquered Ecuador.
Other category comparisons 4 other winning choices
All eight categories for Peru against Ecuador
Category
Peru
Ecuador
Result
Areakm² · Higher wins ↑
1,285,216
283,561
Would win
Populationpeople · Higher wins ↑
33,845,617
17,980,083
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
15,907
Would win
Densityper km² · Higher wins ↑
26.3
63.4
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,746
6,267
Would win
Coastlinekm · Higher wins ↑
2,414
2,237
Would win
Flag colourscolours · Higher wins ↑
2
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
1.2° S
Would lose
8
Round 8Won20 countries · 4 lives left
CubavsLuxembourg
Coastline: 3,735 vs 0 km · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 4 other winning choices
All eight categories for Cuba against Luxembourg
Category
Cuba
Luxembourg
Result
Areakm² · Higher wins ↑
110,860
2,586
Would win
Populationpeople · Higher wins ↑
11,019,931
666,430
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
Unavailable
152,596
Unavailable
Densityper km² · Higher wins ↑
99.4
257.7
Would lose
Highest peakm · Higher wins ↑
1,974
559
Would win
Coastlinekm · Higher wins ↑ · Chosen
3,735
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
20.6° N
49.7° N
Would win
9
Round 9Won21 countries · 4 lives left
DenmarkvsBenin
Wealth per person: 77,425 vs 4,133 int’l $ · Higher wins ↑
Conquered Benin.
Other category comparisons 2 other winning choices
All eight categories for Denmark against Benin
Category
Denmark
Benin
Result
Areakm² · Higher wins ↑
43,094
112,622
Would lose
Populationpeople · Higher wins ↑
5,946,952
14,111,034
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
77,425
4,133
Would win
Densityper km² · Higher wins ↑
138.0
125.3
Would win
Highest peakm · Higher wins ↑
171
675
Would lose
Coastlinekm · Higher wins ↑
7,314
121
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
10.4° N
Would lose
10
Round 10Won22 countries · 4 lives left
MyanmarvsCzechia
Highest peak: 5,870 vs 1,602 m · Higher wins ↑
Conquered Czechia.
Other category comparisons 5 other winning choices
All eight categories for Myanmar against Czechia
Category
Myanmar
Czechia
Result
Areakm² · Higher wins ↑
676,578
78,867
Would win
Populationpeople · Higher wins ↑
54,133,798
10,864,042
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
56,062
Would lose
Densityper km² · Higher wins ↑
80.0
137.8
Would lose
Highest peakm · Higher wins ↑ · Chosen
5,870
1,602
Would win
Coastlinekm · Higher wins ↑
1,930
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
49.8° N
Would win
11
Round 11Won23 countries · 4 lives left
CameroonvsRwanda
Area: 475,440 vs 26,338 km² · Higher wins ↑
Conquered Rwanda.
Other category comparisons 3 other winning choices
All eight categories for Cameroon against Rwanda
Category
Cameroon
Rwanda
Result
Areakm² · Higher wins ↑ · Chosen
475,440
26,338
Would win
Populationpeople · Higher wins ↑
28,372,687
13,954,471
Would win
Wealth per personint’l $ · Higher wins ↑
5,415
3,519
Would win
Densityper km² · Higher wins ↑
59.7
529.8
Would lose
Highest peakm · Higher wins ↑
4,045
4,519
Would lose
Coastlinekm · Higher wins ↑
402
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
1.8° S
Would lose
12
Round 12Won24 countries · 4 lives left
GambiavsKenya
Density: 238.7 vs 95.4 per km² · Higher wins ↑
Conquered Kenya.
Other category comparisons 0 other winning choices
All eight categories for Gambia against Kenya
Category
Gambia
Kenya
Result
Areakm² · Higher wins ↑
11,300
580,367
Would lose
Populationpeople · Higher wins ↑
2,697,845
55,339,003
Would lose
Wealth per personint’l $ · Higher wins ↑
3,292
6,322
Would lose
Densityper km² · Higher wins ↑ · Chosen
238.7
95.4
Would win
Highest peakm · Higher wins ↑
63
5,199
Would lose
Coastlinekm · Higher wins ↑
80
536
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
13.6° N
0.4° N
Would lose
13
Round 13Won25 countries · 4 lives left
GuyanavsMauritius
Area: 214,969 vs 2,040 km² · Higher wins ↑
Conquered Mauritius.
Other category comparisons 5 other winning choices
All eight categories for Guyana against Mauritius
Category
Guyana
Mauritius
Result
Areakm² · Higher wins ↑ · Chosen
214,969
2,040
Would win
Populationpeople · Higher wins ↑
826,353
1,248,647
Would lose
Wealth per personint’l $ · Higher wins ↑
54,774
29,403
Would win
Densityper km² · Higher wins ↑
3.8
612.1
Would lose
Highest peakm · Higher wins ↑
2,775
828
Would win
Coastlinekm · Higher wins ↑
459
177
Would win
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.7° N
20.3° S
Would win
14
Round 14Won26 countries · 4 lives left
MauritaniavsSouth Sudan
Coastline: 754 vs 0 km · Higher wins ↑
Conquered South Sudan.
Other category comparisons 1 other winning choice
All eight categories for Mauritania against South Sudan
Category
Mauritania
South Sudan
Result
Areakm² · Higher wins ↑
1,030,700
644,329
Would win
Populationpeople · Higher wins ↑
5,022,441
11,483,374
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
6,972
Unavailable
Unavailable
Densityper km² · Higher wins ↑
4.9
17.8
Would lose
Highest peakm · Higher wins ↑
915
3,187
Would lose
Coastlinekm · Higher wins ↑ · Chosen
754
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
7.1° N
Would lose
15
Round 15Won27 countries · 4 lives left
ZambiavsAlbania
Population: 20,723,965 vs 2,411,658 people · Higher wins ↑
Conquered Albania.
Other category comparisons 3 other winning choices
All eight categories for Zambia against Albania
Category
Zambia
Albania
Result
Areakm² · Higher wins ↑
752,618
28,748
Would win
Populationpeople · Higher wins ↑ · Chosen
20,723,965
2,411,658
Would win
Wealth per personint’l $ · Higher wins ↑
4,080
24,848
Would lose
Densityper km² · Higher wins ↑
27.5
83.9
Would lose
Highest peakm · Higher wins ↑
2,330
2,764
Would lose
Coastlinekm · Higher wins ↑
0
362
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.7° S
40.7° N
Would win
16
Round 16Won28 countries · 4 lives left
MalawivsPalestine
Highest peak: 3,002 vs 1,020 m · Higher wins ↑
Conquered Palestine.
Other category comparisons 3 other winning choices
All eight categories for Malawi against Palestine
Category
Malawi
Palestine
Result
Areakm² · Higher wins ↑
118,484
6,220
Would win
Populationpeople · Higher wins ↑
21,104,482
5,165,775
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
6,179
Would lose
Densityper km² · Higher wins ↑
178.1
830.5
Would lose
Highest peakm · Higher wins ↑ · Chosen
3,002
1,020
Would win
Coastlinekm · Higher wins ↑
0
40
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.4° S
32.1° N
Would win
17
Round 17Won29 countries · 4 lives left
JamaicavsEgypt
Proximity to equator: 18.1° N vs 26.3° N from the equator · Closer wins ↓
Conquered Egypt.
Other category comparisons 1 other winning choice
All eight categories for Jamaica against Egypt
Category
Jamaica
Egypt
Result
Areakm² · Higher wins ↑
10,991
1,001,450
Would lose
Populationpeople · Higher wins ↑
2,839,786
114,535,772
Would lose
Wealth per personint’l $ · Higher wins ↑
12,661
18,540
Would lose
Densityper km² · Higher wins ↑
258.4
114.4
Would win
Highest peakm · Higher wins ↑
2,256
2,629
Would lose
Coastlinekm · Higher wins ↑
1,022
2,450
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
18.1° N
26.3° N
Would win
18
Round 18Won30 countries · 4 lives left
ComorosvsJordan
Density: 380.5 vs 128.0 per km² · Higher wins ↑
Conquered Jordan.
Other category comparisons 4 other winning choices
All eight categories for Comoros against Jordan
Category
Comoros
Jordan
Result
Areakm² · Higher wins ↑
2,235
89,342
Would lose
Populationpeople · Higher wins ↑
850,387
11,439,213
Would lose
Wealth per personint’l $ · Higher wins ↑
3,897
11,451
Would lose
Densityper km² · Higher wins ↑ · Chosen
380.5
128.0
Would win
Highest peakm · Higher wins ↑
2,360
1,854
Would win
Coastlinekm · Higher wins ↑
340
26
Would win
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.7° S
30.7° N
Would win
19
Round 19Won31 countries · 4 lives left
IcelandvsDjibouti
Wealth per person: 82,257 vs 7,232 int’l $ · Higher wins ↑
Conquered Djibouti.
Other category comparisons 3 other winning choices
All eight categories for Iceland against Djibouti
Category
Iceland
Djibouti
Result
Areakm² · Higher wins ↑
103,000
23,200
Would win
Populationpeople · Higher wins ↑
385,663
1,152,944
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
7,232
Would win
Densityper km² · Higher wins ↑
3.7
49.7
Would lose
Highest peakm · Higher wins ↑
2,110
2,021
Would win
Coastlinekm · Higher wins ↑
4,970
314
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
11.4° N
Would lose
20
Round 20Won32 countries · 4 lives left
MoldovavsEquatorial Guinea
Wealth per person: 17,751 vs 16,997 int’l $ · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 4 other winning choices
All eight categories for Moldova against Equatorial Guinea
Category
Moldova
Equatorial Guinea
Result
Areakm² · Higher wins ↑
33,851
28,051
Would win
Populationpeople · Higher wins ↑
2,457,783
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,751
16,997
Would win
Densityper km² · Higher wins ↑
72.6
65.9
Would win
Highest peakm · Higher wins ↑
430
3,008
Would lose
Coastlinekm · Higher wins ↑
0
296
Would lose
Flag colourscolours · Higher wins ↑
9
8
Would win
Proximity to equatorfrom the equator · Closer wins ↓