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Untimed expedition · Data edition 01051846d672
152Wins
4Losses
0Ties
Explore the final empire · 160 countries
No countries match your search.
The path through the world
One choice at a time.
156 rounds
Where it began · 12 countries
Ghana · Estonia · Nigeria · Burundi · Comoros · Gambia · Bahrain · Angola · Portugal · Bosnia and Herzegovina · Ukraine · Mongolia
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
41
Round 41Won51 countries · 3 lives left
EstoniavsSierra Leone
Wealth per person: 48,848 vs 3,371 int’l $ · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 1 other winning choice
All eight categories for Estonia against Sierra Leone
Category
Estonia
Sierra Leone
Result
Areakm² · Higher wins ↑
45,228
71,740
Would lose
Populationpeople · Higher wins ↑
1,370,286
8,460,512
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,848
3,371
Would win
Densityper km² · Higher wins ↑
30.3
117.9
Would lose
Highest peakm · Higher wins ↑
318
1,948
Would lose
Coastlinekm · Higher wins ↑
3,794
402
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
8.7° N
Would lose
42
Round 42Won52 countries · 3 lives left
PolandvsRepublic of the Congo
Wealth per person: 48,473 vs 6,856 int’l $ · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 4 other winning choices
All eight categories for Poland against Republic of the Congo
Category
Poland
Republic of the Congo
Result
Areakm² · Higher wins ↑
312,685
342,000
Would lose
Populationpeople · Higher wins ↑
36,687,353
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,473
6,856
Would win
Densityper km² · Higher wins ↑
117.3
18.1
Would win
Highest peakm · Higher wins ↑
2,499
1,020
Would win
Coastlinekm · Higher wins ↑
440
169
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
0.1° N
Would lose
43
Round 43Won53 countries · 3 lives left
ColombiavsSenegal
Wealth per person: 21,282 vs 4,782 int’l $ · Higher wins ↑
Conquered Senegal.
Other category comparisons 5 other winning choices
All eight categories for Colombia against Senegal
Category
Colombia
Senegal
Result
Areakm² · Higher wins ↑
1,138,910
196,722
Would win
Populationpeople · Higher wins ↑
52,321,152
18,077,573
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
21,282
4,782
Would win
Densityper km² · Higher wins ↑
45.9
91.9
Would lose
Highest peakm · Higher wins ↑
5,730
648
Would win
Coastlinekm · Higher wins ↑
3,208
531
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
15.2° N
Would win
44
Round 44Won54 countries · 3 lives left
MyanmarvsCameroon
Highest peak: 5,870 vs 4,045 m · Higher wins ↑
Conquered Cameroon.
Other category comparisons 6 other winning choices
All eight categories for Myanmar against Cameroon
Category
Myanmar
Cameroon
Result
Areakm² · Higher wins ↑
676,578
475,440
Would win
Populationpeople · Higher wins ↑
54,133,798
28,372,687
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
5,415
Would win
Densityper km² · Higher wins ↑
80.0
59.7
Would win
Highest peakm · Higher wins ↑ · Chosen
5,870
4,045
Would win
Coastlinekm · Higher wins ↑
1,930
402
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
4.5° N
Would lose
45
Round 45Won55 countries · 3 lives left
NigeriavsLatvia
Population: 227,882,945 vs 1,883,710 people · Higher wins ↑
Conquered Latvia.
Other category comparisons 5 other winning choices
All eight categories for Nigeria against Latvia
Category
Nigeria
Latvia
Result
Areakm² · Higher wins ↑
923,768
64,589
Would win
Populationpeople · Higher wins ↑ · Chosen
227,882,945
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
42,784
Would lose
Densityper km² · Higher wins ↑
246.7
29.2
Would win
Highest peakm · Higher wins ↑
2,419
312
Would win
Coastlinekm · Higher wins ↑
853
498
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
56.6° N
Would win
46
Round 46Won56 countries · 3 lives left
LesothovsSlovakia
Proximity to equator: 29.4° S vs 48.7° N from the equator · Closer wins ↓
Conquered Slovakia.
Other category comparisons 2 other winning choices
All eight categories for Lesotho against Slovakia
Category
Lesotho
Slovakia
Result
Areakm² · Higher wins ↑
30,355
49,035
Would lose
Populationpeople · Higher wins ↑
2,311,472
5,426,740
Would lose
Wealth per personint’l $ · Higher wins ↑
2,880
45,865
Would lose
Densityper km² · Higher wins ↑
76.1
110.7
Would lose
Highest peakm · Higher wins ↑
3,482
2,655
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
29.4° S
48.7° N
Would win
47
Round 47Won57 countries · 3 lives left
North KoreavsUnited Arab Emirates
Highest peak: 2,744 vs 1,905 m · Higher wins ↑
Conquered United Arab Emirates.
Other category comparisons 4 other winning choices
All eight categories for North Korea against United Arab Emirates
Category
North Korea
United Arab Emirates
Result
Areakm² · Higher wins ↑
120,538
83,600
Would win
Populationpeople · Higher wins ↑
26,418,204
10,483,751
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
78,020
Unavailable
Densityper km² · Higher wins ↑
219.2
125.4
Would win
Highest peakm · Higher wins ↑ · Chosen
2,744
1,905
Would win
Coastlinekm · Higher wins ↑
2,495
1,318
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
23.5° N
Would lose
48
Round 48Won58 countries · 3 lives left
ZambiavsChad
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Chad.
Other category comparisons 4 other winning choices
All eight categories for Zambia against Chad
Category
Zambia
Chad
Result
Areakm² · Higher wins ↑
752,618
1,284,000
Would lose
Populationpeople · Higher wins ↑
20,723,965
19,319,064
Would win
Wealth per personint’l $ · Higher wins ↑
4,080
2,703
Would win
Densityper km² · Higher wins ↑
27.5
15.0
Would win
Highest peakm · Higher wins ↑
2,330
3,445
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.7° S
17.3° N
Would win
49
Round 49Won59 countries · 3 lives left
BurundivsDenmark
Proximity to equator: 3.4° S vs 55.9° N from the equator · Closer wins ↓
Conquered Denmark.
Other category comparisons 4 other winning choices
All eight categories for Burundi against Denmark
Category
Burundi
Denmark
Result
Areakm² · Higher wins ↑
27,830
43,094
Would lose
Populationpeople · Higher wins ↑
13,689,450
5,946,952
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
77,425
Would lose
Densityper km² · Higher wins ↑
491.9
138.0
Would win
Highest peakm · Higher wins ↑
2,685
171
Would win
Coastlinekm · Higher wins ↑
0
7,314
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.4° S
55.9° N
Would win
50
Round 50Won60 countries · 3 lives left
ArmeniavsRwanda
Wealth per person: 21,552 vs 3,519 int’l $ · Higher wins ↑
Conquered Rwanda.
Other category comparisons 1 other winning choice
All eight categories for Armenia against Rwanda
Category
Armenia
Rwanda
Result
Areakm² · Higher wins ↑
29,743
26,338
Would win
Populationpeople · Higher wins ↑
2,964,300
13,954,471
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
21,552
3,519
Would win
Densityper km² · Higher wins ↑
99.7
529.8
Would lose
Highest peakm · Higher wins ↑
4,090
4,519
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.6° N
1.8° S
Would lose
51
Round 51Won61 countries · 3 lives left
BotswanavsPalestine
Area: 581,730 vs 6,220 km² · Higher wins ↑
Conquered Palestine.
Other category comparisons 3 other winning choices
All eight categories for Botswana against Palestine
Category
Botswana
Palestine
Result
Areakm² · Higher wins ↑ · Chosen
581,730
6,220
Would win
Populationpeople · Higher wins ↑
2,480,244
5,165,775
Would lose
Wealth per personint’l $ · Higher wins ↑
21,029
6,179
Would win
Densityper km² · Higher wins ↑
4.3
830.5
Would lose
Highest peakm · Higher wins ↑
1,495
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 ↓
22.1° S
32.1° N
Would win
52
Round 52Won62 countries · 3 lives left
BangladeshvsSerbia
Population: 171,466,990 vs 6,623,183 people · Higher wins ↑
Conquered Serbia.
Other category comparisons 4 other winning choices
All eight categories for Bangladesh against Serbia
Category
Bangladesh
Serbia
Result
Areakm² · Higher wins ↑
148,460
77,474
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
29,777
Would lose
Densityper km² · Higher wins ↑
1,155.0
85.5
Would win
Highest peakm · Higher wins ↑
1,060
2,169
Would lose
Coastlinekm · Higher wins ↑
580
0
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
44.2° N
Would win
53
Round 53Won63 countries · 3 lives left
ComorosvsKazakhstan
Coastline: 340 vs 0 km · Higher wins ↑
Conquered Kazakhstan.
Other category comparisons 3 other winning choices
All eight categories for Comoros against Kazakhstan
Category
Comoros
Kazakhstan
Result
Areakm² · Higher wins ↑
2,235
2,724,900
Would lose
Populationpeople · Higher wins ↑
850,387
20,330,104
Would lose
Wealth per personint’l $ · Higher wins ↑
3,897
38,547
Would lose
Densityper km² · Higher wins ↑
380.5
7.5
Would win
Highest peakm · Higher wins ↑
2,360
7,010
Would lose
Coastlinekm · Higher wins ↑ · Chosen
340
0
Would win
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.7° S
48.5° N
Would win
54
Round 54Won64 countries · 3 lives left
LiberiavsCôte d’Ivoire
Coastline: 579 vs 515 km · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 1 other winning choice
All eight categories for Liberia against Côte d’Ivoire
Category
Liberia
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
111,369
322,463
Would lose
Populationpeople · Higher wins ↑
5,493,031
31,165,654
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
7,243
Would lose
Densityper km² · Higher wins ↑
49.3
96.6
Would lose
Highest peakm · Higher wins ↑
1,447
1,752
Would lose
Coastlinekm · Higher wins ↑ · Chosen
579
515
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
7.5° N
Would win
55
Round 55Won65 countries · 3 lives left
EswatinivsSlovenia
Proximity to equator: 26.6° S vs 46.0° N from the equator · Closer wins ↓
Conquered Slovenia.
Other category comparisons 1 other winning choice
All eight categories for Eswatini against Slovenia
Category
Eswatini
Slovenia
Result
Areakm² · Higher wins ↑
17,364
20,273
Would lose
Populationpeople · Higher wins ↑
1,230,506
2,120,461
Would lose
Wealth per personint’l $ · Higher wins ↑
11,309
56,151
Would lose
Densityper km² · Higher wins ↑
70.9
104.6
Would lose
Highest peakm · Higher wins ↑
1,862
2,864
Would lose
Coastlinekm · Higher wins ↑
0
46.6
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
26.6° S
46.0° N
Would win
56
Round 56Won66 countries · 3 lives left
VietnamvsDR Congo
Coastline: 3,444 vs 37 km · Higher wins ↑
Conquered DR Congo.
Other category comparisons 2 other winning choices
All eight categories for Vietnam against DR Congo
Category
Vietnam
DR Congo
Result
Areakm² · Higher wins ↑
331,210
2,344,858
Would lose
Populationpeople · Higher wins ↑
100,352,192
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑
15,034
1,732
Would win
Densityper km² · Higher wins ↑
303.0
45.1
Would win
Highest peakm · Higher wins ↑
3,144
5,110
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,444
37
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
1.9° S
Would lose
57
Round 57Won67 countries · 3 lives left
PanamavsHaiti
Wealth per person: 39,846 vs 3,265 int’l $ · Higher wins ↑
Conquered Haiti.
Other category comparisons 4 other winning choices
All eight categories for Panama against Haiti
Category
Panama
Haiti
Result
Areakm² · Higher wins ↑
75,420
27,750
Would win
Populationpeople · Higher wins ↑
4,458,759
11,637,398
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
39,846
3,265
Would win
Densityper km² · Higher wins ↑
59.1
419.4
Would lose
Highest peakm · Higher wins ↑
3,475
2,674
Would win
Coastlinekm · Higher wins ↑
2,490
1,771
Would win
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.4° N
19.2° N
Would win
58
Round 58Won68 countries · 3 lives left
UruguayvsJordan
Wealth per person: 34,546 vs 11,451 int’l $ · Higher wins ↑
Conquered Jordan.
Other category comparisons 2 other winning choices
All eight categories for Uruguay against Jordan
Category
Uruguay
Jordan
Result
Areakm² · Higher wins ↑
176,215
89,342
Would win
Populationpeople · Higher wins ↑
3,388,081
11,439,213
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
34,546
11,451
Would win
Densityper km² · Higher wins ↑
19.2
128.0
Would lose
Highest peakm · Higher wins ↑
514
1,854
Would lose
Coastlinekm · Higher wins ↑
660
26
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.9° S
30.7° N
Would lose
59
Round 59Won69 countries · 3 lives left
BahrainvsMalta
Proximity to equator: 26.0° N vs 35.9° N from the equator · Closer wins ↓
Conquered Malta.
Other category comparisons 3 other winning choices
All eight categories for Bahrain against Malta
Category
Bahrain
Malta
Result
Areakm² · Higher wins ↑
760
316
Would win
Populationpeople · Higher wins ↑
1,577,059
552,747
Would win
Wealth per personint’l $ · Higher wins ↑
64,224
67,101
Would lose
Densityper km² · Higher wins ↑
2,075.1
1,749.2
Would win
Highest peakm · Higher wins ↑
135
253
Would lose
Coastlinekm · Higher wins ↑
161
196.8
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
26.0° N
35.9° N
Would win
60
Round 60Won70 countries · 3 lives left
GabonvsMali
Proximity to equator: 0.6° S vs 18.6° N from the equator · Closer wins ↓
Conquered Mali.
Other category comparisons 2 other winning choices
All eight categories for Gabon against Mali
Category
Gabon
Mali
Result
Areakm² · Higher wins ↑
267,667
1,240,192
Would lose
Populationpeople · Higher wins ↑
2,484,789
23,769,127
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
3,178
Would win
Densityper km² · Higher wins ↑
9.3
19.2
Would lose
Highest peakm · Higher wins ↑
1,050
1,155
Would lose
Coastlinekm · Higher wins ↑
885
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Estoniavs
Sierra Leone
Poland
Republic of the Congo
Colombia
Senegal
Myanmar
Cameroon
Nigeria
Latvia
Lesotho
Slovakia
North Korea
United Arab Emirates
Zambia
Chad
Burundi
Denmark
Armenia
Rwanda
Botswana
Palestine
Bangladesh
Serbia
Comoros
Kazakhstan
Liberia
Côte d’Ivoire
Eswatini
Slovenia
Vietnam
DR Congo
Panama
Haiti
Uruguay
Jordan
Bahrain
Malta
Gabon
Mali