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Untimed expedition · Data edition 01051846d672
34Wins
4Losses
1Ties
Explore the final empire · 43 countries
No countries match your search.
The path through the world
One choice at a time.
39 rounds
Where it began · 12 countries
Gabon · Colombia · Croatia · Peru · Qatar · Lithuania · South Sudan · Burkina Faso · Myanmar · United States · Morocco · Czechia
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
GabonvsBahamas
Proximity to equator: 0.6° S vs 24.7° N from the equator · Closer wins ↓
Conquered Bahamas.
Other category comparisons 3 other winning choices
All eight categories for Gabon against Bahamas
Category
Gabon
Bahamas
Result
Areakm² · Higher wins ↑
267,667
13,880
Would win
Populationpeople · Higher wins ↑
2,484,789
399,440
Would win
Wealth per personint’l $ · Higher wins ↑
20,773
39,122
Would lose
Densityper km² · Higher wins ↑
9.3
28.8
Would lose
Highest peakm · Higher wins ↑
1,050
64
Would win
Coastlinekm · Higher wins ↑
885
3,542
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
24.7° N
Would win
2
Round 2Won14 countries · 4 lives left
ColombiavsCameroon
Area: 1,138,910 vs 475,440 km² · Higher wins ↑
Conquered Cameroon.
Other category comparisons 5 other winning choices
All eight categories for Colombia against Cameroon
Category
Colombia
Cameroon
Result
Areakm² · Higher wins ↑ · Chosen
1,138,910
475,440
Would win
Populationpeople · Higher wins ↑
52,321,152
28,372,687
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
5,415
Would win
Densityper km² · Higher wins ↑
45.9
59.7
Would lose
Highest peakm · Higher wins ↑
5,730
4,045
Would win
Coastlinekm · Higher wins ↑
3,208
402
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
4.5° N
Would win
3
Round 3Won15 countries · 4 lives left
CroatiavsLesotho
Wealth per person: 47,760 vs 2,880 int’l $ · Higher wins ↑
Conquered Lesotho.
Other category comparisons 4 other winning choices
All eight categories for Croatia against Lesotho
Category
Croatia
Lesotho
Result
Areakm² · Higher wins ↑
56,594
30,355
Would win
Populationpeople · Higher wins ↑
3,859,686
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
47,760
2,880
Would win
Densityper km² · Higher wins ↑
68.2
76.1
Would lose
Highest peakm · Higher wins ↑
1,831
3,482
Would lose
Coastlinekm · Higher wins ↑
5,835
0
Would win
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
29.4° S
Would lose
4
Round 4Won16 countries · 4 lives left
PeruvsPhilippines
Highest peak: 6,746 vs 2,954 m · Higher wins ↑
Conquered Philippines.
Other category comparisons 3 other winning choices
All eight categories for Peru against Philippines
Category
Peru
Philippines
Result
Areakm² · Higher wins ↑
1,285,216
300,000
Would win
Populationpeople · Higher wins ↑
33,845,617
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑
17,042
10,995
Would win
Densityper km² · Higher wins ↑
26.3
383.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,746
2,954
Would win
Coastlinekm · Higher wins ↑
2,414
36,289
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
17.0° N
Would win
5
Round 5Won17 countries · 4 lives left
QatarvsAngola
Density: 229.2 vs 29.5 per km² · Higher wins ↑
Conquered Angola.
Other category comparisons 1 other winning choice
All eight categories for Qatar against Angola
Category
Qatar
Angola
Result
Areakm² · Higher wins ↑
11,586
1,246,700
Would lose
Populationpeople · Higher wins ↑
2,656,032
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑
129,025
9,550
Would win
Densityper km² · Higher wins ↑ · Chosen
229.2
29.5
Would win
Highest peakm · Higher wins ↑
103
2,620
Would lose
Coastlinekm · Higher wins ↑
563
1,600
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
25.1° N
13.2° S
Would lose
6
Round 6Won18 countries · 4 lives left
LithuaniavsArgentina
Wealth per person: 52,720 vs 30,246 int’l $ · Higher wins ↑
Conquered Argentina.
Other category comparisons 1 other winning choice
All eight categories for Lithuania against Argentina
Category
Lithuania
Argentina
Result
Areakm² · Higher wins ↑
65,300
2,780,400
Would lose
Populationpeople · Higher wins ↑
2,871,585
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
30,246
Would win
Densityper km² · Higher wins ↑
44.0
16.4
Would win
Highest peakm · Higher wins ↑
294
6,962
Would lose
Coastlinekm · Higher wins ↑
90
4,989
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
31.4° S
Would lose
7
Round 7Won19 countries · 4 lives left
South SudanvsDR Congo
Flag colours: 6 vs 3 colours · Higher wins ↑
Conquered DR Congo.
Other category comparisons 0 other winning choices
All eight categories for South Sudan against DR Congo
Category
South Sudan
DR Congo
Result
Areakm² · Higher wins ↑
644,329
2,344,858
Would lose
Populationpeople · Higher wins ↑
11,483,374
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
1,732
Unavailable
Densityper km² · Higher wins ↑
17.8
45.1
Would lose
Highest peakm · Higher wins ↑
3,187
5,110
Would lose
Coastlinekm · Higher wins ↑
0
37
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
1.9° S
Would lose
8
Round 8Won20 countries · 4 lives left
Burkina FasovsNorth Korea
Proximity to equator: 12.8° N vs 39.9° N from the equator · Closer wins ↓
Conquered North Korea.
Other category comparisons 1 other winning choice
All eight categories for Burkina Faso against North Korea
Category
Burkina Faso
North Korea
Result
Areakm² · Higher wins ↑
274,200
120,538
Would win
Populationpeople · Higher wins ↑
23,025,776
26,418,204
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
2,762
Unavailable
Unavailable
Densityper km² · Higher wins ↑
84.0
219.2
Would lose
Highest peakm · Higher wins ↑
749
2,744
Would lose
Coastlinekm · Higher wins ↑
0
2,495
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.8° N
39.9° N
Would win
9
Round 9Won21 countries · 4 lives left
MyanmarvsEstonia
Area: 676,578 vs 45,228 km² · Higher wins ↑
Conquered Estonia.
Other category comparisons 5 other winning choices
All eight categories for Myanmar against Estonia
Category
Myanmar
Estonia
Result
Areakm² · Higher wins ↑ · Chosen
676,578
45,228
Would win
Populationpeople · Higher wins ↑
54,133,798
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
48,848
Would lose
Densityper km² · Higher wins ↑
80.0
30.3
Would win
Highest peakm · Higher wins ↑
5,870
318
Would win
Coastlinekm · Higher wins ↑
1,930
3,794
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
58.6° N
Would win
10
Round 10Won22 countries · 4 lives left
United StatesvsLibya
Area: 9,833,517 vs 1,759,540 km² · Higher wins ↑
Conquered Libya.
Other category comparisons 5 other winning choices
All eight categories for United States against Libya
Category
United States
Libya
Result
Areakm² · Higher wins ↑ · Chosen
9,833,517
1,759,540
Would win
Populationpeople · Higher wins ↑
336,755,052
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
82,587
13,858
Would win
Densityper km² · Higher wins ↑
34.2
4.2
Would win
Highest peakm · Higher wins ↑
6,190
2,267
Would win
Coastlinekm · Higher wins ↑
19,924
1,770
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
26.1° N
Would lose
11
Round 11Won23 countries · 4 lives left
MoroccovsSaudi Arabia
Highest peak: 4,165 vs 3,000 m · Higher wins ↑
Conquered Saudi Arabia.
Other category comparisons 2 other winning choices
All eight categories for Morocco against Saudi Arabia
Category
Morocco
Saudi Arabia
Result
Areakm² · Higher wins ↑
446,550
2,149,690
Would lose
Populationpeople · Higher wins ↑
37,712,505
33,702,731
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
71,624
Would lose
Densityper km² · Higher wins ↑
84.5
15.7
Would win
Highest peakm · Higher wins ↑ · Chosen
4,165
3,000
Would win
Coastlinekm · Higher wins ↑
1,835
2,640
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
23.5° N
Would lose
12
Round 12Won24 countries · 4 lives left
CzechiavsBrazil
Wealth per person: 56,062 vs 21,193 int’l $ · Higher wins ↑
Conquered Brazil.
Other category comparisons 1 other winning choice
All eight categories for Czechia against Brazil
Category
Czechia
Brazil
Result
Areakm² · Higher wins ↑
78,867
8,515,770
Would lose
Populationpeople · Higher wins ↑
10,864,042
211,140,729
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
21,193
Would win
Densityper km² · Higher wins ↑
137.8
24.8
Would win
Highest peakm · Higher wins ↑
1,602
2,994
Would lose
Coastlinekm · Higher wins ↑
0
7,491
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
12.6° S
Would lose
13
Round 13Won25 countries · 4 lives left
GabonvsDominican Republic
Proximity to equator: 0.6° S vs 19.1° N from the equator · Closer wins ↓
Conquered Dominican Republic.
Other category comparisons 1 other winning choice
All eight categories for Gabon against Dominican Republic
Category
Gabon
Dominican Republic
Result
Areakm² · Higher wins ↑
267,667
48,670
Would win
Populationpeople · Higher wins ↑
2,484,789
11,331,265
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
25,861
Would lose
Densityper km² · Higher wins ↑
9.3
232.8
Would lose
Highest peakm · Higher wins ↑
1,050
3,098
Would lose
Coastlinekm · Higher wins ↑
885
1,288
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
19.1° N
Would win
14
Round 14Won26 countries · 4 lives left
BahamasvsSolomon Islands
Wealth per person: 39,122 vs 2,599 int’l $ · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 1 other winning choice
All eight categories for Bahamas against Solomon Islands
Category
Bahamas
Solomon Islands
Result
Areakm² · Higher wins ↑
13,880
28,896
Would lose
Populationpeople · Higher wins ↑
399,440
800,005
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
39,122
2,599
Would win
Densityper km² · Higher wins ↑
28.8
27.7
Would win
Highest peakm · Higher wins ↑
64
2,335
Would lose
Coastlinekm · Higher wins ↑
3,542
5,313
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.7° N
9.6° S
Would lose
15
Round 15Won27 countries · 4 lives left
ColombiavsBahrain
Area: 1,138,910 vs 760 km² · Higher wins ↑
Conquered Bahrain.
Other category comparisons 5 other winning choices
All eight categories for Colombia against Bahrain
Category
Colombia
Bahrain
Result
Areakm² · Higher wins ↑ · Chosen
1,138,910
760
Would win
Populationpeople · Higher wins ↑
52,321,152
1,577,059
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
64,224
Would lose
Densityper km² · Higher wins ↑
45.9
2,075.1
Would lose
Highest peakm · Higher wins ↑
5,730
135
Would win
Coastlinekm · Higher wins ↑
3,208
161
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
26.0° N
Would win
16
Round 16Won28 countries · 4 lives left
CameroonvsSyria
Proximity to equator: 4.5° N vs 35.0° N from the equator · Closer wins ↓
Conquered Syria.
Other category comparisons 4 other winning choices
All eight categories for Cameroon against Syria
Category
Cameroon
Syria
Result
Areakm² · Higher wins ↑
475,440
187,437
Would win
Populationpeople · Higher wins ↑
28,372,687
23,594,623
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
5,415
Unavailable
Unavailable
Densityper km² · Higher wins ↑
59.7
125.9
Would lose
Highest peakm · Higher wins ↑
4,045
2,814
Would win
Coastlinekm · Higher wins ↑
402
193
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.5° N
35.0° N
Would win
17
Round 17Lost27 countries · 3 lives left
CroatiavsGuyana
Wealth per person: 47,760 vs 54,774 int’l $ · Higher wins ↑
Returned to the world: Croatia.
Other category comparisons 4 other winning choices
All eight categories for Croatia against Guyana
Category
Croatia
Guyana
Result
Areakm² · Higher wins ↑
56,594
214,969
Would lose
Populationpeople · Higher wins ↑
3,859,686
826,353
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
47,760
54,774
Would lose
Densityper km² · Higher wins ↑
68.2
3.8
Would win
Highest peakm · Higher wins ↑
1,831
2,775
Would lose
Coastlinekm · Higher wins ↑
5,835
459
Would win
Flag colourscolours · Higher wins ↑
6
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
2.7° N
Would lose
18
Round 18Won28 countries · 3 lives left
LesothovsTrinidad and Tobago
Population: 2,311,472 vs 1,367,510 people · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 3 other winning choices
All eight categories for Lesotho against Trinidad and Tobago
Category
Lesotho
Trinidad and Tobago
Result
Areakm² · Higher wins ↑
30,355
5,128
Would win
Populationpeople · Higher wins ↑ · Chosen
2,311,472
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
2,880
34,652
Would lose
Densityper km² · Higher wins ↑
76.1
266.7
Would lose
Highest peakm · Higher wins ↑
3,482
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 ↓
29.4° S
10.3° N
Would lose
19
Round 19Won29 countries · 3 lives left
PeruvsBelgium
Highest peak: 6,746 vs 694 m · Higher wins ↑
Conquered Belgium.
Other category comparisons 4 other winning choices
All eight categories for Peru against Belgium
Category
Peru
Belgium
Result
Areakm² · Higher wins ↑
1,285,216
30,528
Would win
Populationpeople · Higher wins ↑
33,845,617
11,779,946
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
72,630
Would lose
Densityper km² · Higher wins ↑
26.3
385.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,746
694
Would win
Coastlinekm · Higher wins ↑
2,414
66.5
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
50.8° N
Would win
20
Round 20Won30 countries · 3 lives left
PhilippinesvsMauritius
Coastline: 36,289 vs 177 km · Higher wins ↑
Conquered Mauritius.
Other category comparisons 4 other winning choices
All eight categories for Philippines against Mauritius
Category
Philippines
Mauritius
Result
Areakm² · Higher wins ↑
300,000
2,040
Would win
Populationpeople · Higher wins ↑
114,891,199
1,248,647
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
29,403
Would lose
Densityper km² · Higher wins ↑
383.0
612.1
Would lose
Highest peakm · Higher wins ↑
2,954
828
Would win
Coastlinekm · Higher wins ↑ · Chosen
36,289
177
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Gabonvs
Bahamas
Colombia
Cameroon
Croatia
Lesotho
Peru
Philippines
Qatar
Angola
Lithuania
Argentina
South Sudan
DR Congo
Burkina Faso
North Korea
Myanmar
Estonia
United States
Libya
Morocco
Saudi Arabia
Czechia
Brazil
Dominican Republic
Solomon Islands
Bahrain
Syria
Guyana
Trinidad and Tobago
Belgium
Mauritius