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Untimed expedition · Data edition 01051846d672
55Wins
4Losses
0Ties
Explore the final empire · 63 countries
No countries match your search.
The path through the world
One choice at a time.
59 rounds
Where it began · 12 countries
Belize · Lebanon · Chile · Botswana · Bhutan · Brazil · Finland · Venezuela · Costa Rica · Belgium · Estonia · Malawi
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
BhutanvsAndorra
Highest peak: 7,570 vs 2,946 m · Higher wins ↑
Conquered Andorra.
Other category comparisons 3 other winning choices
All eight categories for Bhutan against Andorra
Category
Bhutan
Andorra
Result
Areakm² · Higher wins ↑
38,394
468
Would win
Populationpeople · Higher wins ↑
786,385
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
16,229
71,790
Would lose
Densityper km² · Higher wins ↑
20.5
172.8
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
2,946
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
42.5° N
Would win
22
Round 22Won32 countries · 3 lives left
SlovakiavsRwanda
Wealth per person: 45,865 vs 3,519 int’l $ · Higher wins ↑
Conquered Rwanda.
Other category comparisons 1 other winning choice
All eight categories for Slovakia against Rwanda
Category
Slovakia
Rwanda
Result
Areakm² · Higher wins ↑
49,035
26,338
Would win
Populationpeople · Higher wins ↑
5,426,740
13,954,471
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
45,865
3,519
Would win
Densityper km² · Higher wins ↑
110.7
529.8
Would lose
Highest peakm · Higher wins ↑
2,655
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 ↓
48.7° N
1.8° S
Would lose
23
Round 23Won33 countries · 3 lives left
BrazilvsBrunei
Area: 8,515,770 vs 5,765 km² · Higher wins ↑
Conquered Brunei.
Other category comparisons 3 other winning choices
All eight categories for Brazil against Brunei
Category
Brazil
Brunei
Result
Areakm² · Higher wins ↑ · Chosen
8,515,770
5,765
Would win
Populationpeople · Higher wins ↑
211,140,729
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
85,103
Would lose
Densityper km² · Higher wins ↑
24.8
79.6
Would lose
Highest peakm · Higher wins ↑
2,994
1,850
Would win
Coastlinekm · Higher wins ↑
7,491
161
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
4.5° N
Would lose
24
Round 24Won34 countries · 3 lives left
NepalvsCroatia
Highest peak: 8,849 vs 1,831 m · Higher wins ↑
Conquered Croatia.
Other category comparisons 4 other winning choices
All eight categories for Nepal against Croatia
Category
Nepal
Croatia
Result
Areakm² · Higher wins ↑
147,181
56,594
Would win
Populationpeople · Higher wins ↑
29,694,614
3,859,686
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
47,760
Would lose
Densityper km² · Higher wins ↑
201.8
68.2
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
1,831
Would win
Coastlinekm · Higher wins ↑
0
5,835
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
45.8° N
Would win
25
Round 25Won35 countries · 3 lives left
FinlandvsHonduras
Area: 338,145 vs 112,090 km² · Higher wins ↑
Conquered Honduras.
Other category comparisons 2 other winning choices
All eight categories for Finland against Honduras
Category
Finland
Honduras
Result
Areakm² · Higher wins ↑ · Chosen
338,145
112,090
Would win
Populationpeople · Higher wins ↑
5,583,911
10,644,851
Would lose
Wealth per personint’l $ · Higher wins ↑
63,467
7,184
Would win
Densityper km² · Higher wins ↑
16.5
95.0
Would lose
Highest peakm · Higher wins ↑
1,328
2,870
Would lose
Coastlinekm · Higher wins ↑
1,250
823
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
14.7° N
Would lose
26
Round 26Won36 countries · 3 lives left
North MacedoniavsZambia
Wealth per person: 25,354 vs 4,080 int’l $ · Higher wins ↑
Conquered Zambia.
Other category comparisons 2 other winning choices
All eight categories for North Macedonia against Zambia
Category
North Macedonia
Zambia
Result
Areakm² · Higher wins ↑
25,713
752,618
Would lose
Populationpeople · Higher wins ↑
1,827,816
20,723,965
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,354
4,080
Would win
Densityper km² · Higher wins ↑
71.1
27.5
Would win
Highest peakm · Higher wins ↑
2,764
2,330
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
14.7° S
Would lose
27
Round 27Won37 countries · 3 lives left
Costa RicavsUnited Arab Emirates
Proximity to equator: 10.1° N vs 23.5° N from the equator · Closer wins ↓
Conquered United Arab Emirates.
Other category comparisons 1 other winning choice
All eight categories for Costa Rica against United Arab Emirates
Category
Costa Rica
United Arab Emirates
Result
Areakm² · Higher wins ↑
51,100
83,600
Would lose
Populationpeople · Higher wins ↑
5,105,525
10,483,751
Would lose
Wealth per personint’l $ · Higher wins ↑
29,248
78,020
Would lose
Densityper km² · Higher wins ↑
99.9
125.4
Would lose
Highest peakm · Higher wins ↑
3,819
1,905
Would win
Coastlinekm · Higher wins ↑
1,290
1,318
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.1° N
23.5° N
Would win
28
Round 28Won38 countries · 3 lives left
SpainvsAustria
Area: 505,370 vs 83,871 km² · Higher wins ↑
Conquered Austria.
Other category comparisons 4 other winning choices
All eight categories for Spain against Austria
Category
Spain
Austria
Result
Areakm² · Higher wins ↑ · Chosen
505,370
83,871
Would win
Populationpeople · Higher wins ↑
48,352,528
9,131,761
Would win
Wealth per personint’l $ · Higher wins ↑
55,661
74,261
Would lose
Densityper km² · Higher wins ↑
95.7
108.9
Would lose
Highest peakm · Higher wins ↑
3,718
3,798
Would lose
Coastlinekm · Higher wins ↑
4,964
0
Would win
Flag colourscolours · Higher wins ↑
10
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
47.7° N
Would win
29
Round 29Won39 countries · 3 lives left
BelgiumvsCanada
Density: 385.9 vs 4.0 per km² · Higher wins ↑
Conquered Canada.
Other category comparisons 3 other winning choices
All eight categories for Belgium against Canada
Category
Belgium
Canada
Result
Areakm² · Higher wins ↑
30,528
9,984,670
Would lose
Populationpeople · Higher wins ↑
11,779,946
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
72,630
64,962
Would win
Densityper km² · Higher wins ↑ · Chosen
385.9
4.0
Would win
Highest peakm · Higher wins ↑
694
5,959
Would lose
Coastlinekm · Higher wins ↑
66.5
202,080
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
50.8° N
58.8° N
Would win
30
Round 30Won40 countries · 3 lives left
ParaguayvsMauritius
Area: 406,752 vs 2,040 km² · Higher wins ↑
Conquered Mauritius.
Other category comparisons 3 other winning choices
All eight categories for Paraguay against Mauritius
Category
Paraguay
Mauritius
Result
Areakm² · Higher wins ↑ · Chosen
406,752
2,040
Would win
Populationpeople · Higher wins ↑
6,844,146
1,248,647
Would win
Wealth per personint’l $ · Higher wins ↑
17,585
29,403
Would lose
Densityper km² · Higher wins ↑
16.8
612.1
Would lose
Highest peakm · Higher wins ↑
842
828
Would win
Coastlinekm · Higher wins ↑
0
177
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° S
20.3° S
Would lose
31
Round 31Won41 countries · 3 lives left
EstoniavsBangladesh
Wealth per person: 48,848 vs 9,155 int’l $ · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 2 other winning choices
All eight categories for Estonia against Bangladesh
Category
Estonia
Bangladesh
Result
Areakm² · Higher wins ↑
45,228
148,460
Would lose
Populationpeople · Higher wins ↑
1,370,286
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,848
9,155
Would win
Densityper km² · Higher wins ↑
30.3
1,155.0
Would lose
Highest peakm · Higher wins ↑
318
1,060
Would lose
Coastlinekm · Higher wins ↑
3,794
580
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
24.3° N
Would lose
32
Round 32Won42 countries · 3 lives left
Republic of the CongovsUkraine
Proximity to equator: 0.1° N vs 49.6° N from the equator · Closer wins ↓
Conquered Ukraine.
Other category comparisons 1 other winning choice
All eight categories for Republic of the Congo against Ukraine
Category
Republic of the Congo
Ukraine
Result
Areakm² · Higher wins ↑
342,000
603,550
Would lose
Populationpeople · Higher wins ↑
6,182,885
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑
6,856
17,680
Would lose
Densityper km² · Higher wins ↑
18.1
62.5
Would lose
Highest peakm · Higher wins ↑
1,020
2,061
Would lose
Coastlinekm · Higher wins ↑
169
2,782
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.1° N
49.6° N
Would win
33
Round 33Won43 countries · 3 lives left
MalawivsHungary
Proximity to equator: 13.4° S vs 47.3° N from the equator · Closer wins ↓
Conquered Hungary.
Other category comparisons 4 other winning choices
All eight categories for Malawi against Hungary
Category
Malawi
Hungary
Result
Areakm² · Higher wins ↑
118,484
93,028
Would win
Populationpeople · Higher wins ↑
21,104,482
9,592,186
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
46,376
Would lose
Densityper km² · Higher wins ↑
178.1
103.1
Would win
Highest peakm · Higher wins ↑
3,002
1,014
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.4° S
47.3° N
Would win
34
Round 34Won44 countries · 3 lives left
BelarusvsCôte d’Ivoire
Wealth per person: 30,860 vs 7,243 int’l $ · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 0 other winning choices
All eight categories for Belarus against Côte d’Ivoire
Category
Belarus
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
207,600
322,463
Would lose
Populationpeople · Higher wins ↑
9,178,298
31,165,654
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
30,860
7,243
Would win
Densityper km² · Higher wins ↑
44.2
96.6
Would lose
Highest peakm · Higher wins ↑
346
1,752
Would lose
Coastlinekm · Higher wins ↑
0
515
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
7.5° N
Would lose
35
Round 35Won45 countries · 3 lives left
BelizevsAustralia
Flag colours: 12 vs 3 colours · Higher wins ↑
Conquered Australia.
Other category comparisons 2 other winning choices
All eight categories for Belize against Australia
Category
Belize
Australia
Result
Areakm² · Higher wins ↑
22,966
7,741,220
Would lose
Populationpeople · Higher wins ↑
411,106
26,659,922
Would lose
Wealth per personint’l $ · Higher wins ↑
13,741
72,273
Would lose
Densityper km² · Higher wins ↑
17.9
3.4
Would win
Highest peakm · Higher wins ↑
1,124
2,228
Would lose
Coastlinekm · Higher wins ↑
386
25,760
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
12
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
23.1° S
Would win
36
Round 36Lost44 countries · 2 lives left
DjiboutivsKenya
Density: 49.7 vs 95.4 per km² · Higher wins ↑
Returned to the world: Djibouti.
Other category comparisons 1 other winning choice
All eight categories for Djibouti against Kenya
Category
Djibouti
Kenya
Result
Areakm² · Higher wins ↑
23,200
580,367
Would lose
Populationpeople · Higher wins ↑
1,152,944
55,339,003
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
6,322
Would win
Densityper km² · Higher wins ↑ · Chosen
49.7
95.4
Would lose
Highest peakm · Higher wins ↑
2,021
5,199
Would lose
Coastlinekm · Higher wins ↑
314
536
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
11.4° N
0.4° N
Would lose
37
Round 37Won45 countries · 2 lives left
SingaporevsQatar
Density: 8,230.4 vs 229.2 per km² · Higher wins ↑
Conquered Qatar.
Other category comparisons 4 other winning choices
All eight categories for Singapore against Qatar
Category
Singapore
Qatar
Result
Areakm² · Higher wins ↑
719
11,586
Would lose
Populationpeople · Higher wins ↑
5,917,648
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑
144,728
129,025
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
229.2
Would win
Highest peakm · Higher wins ↑
166
103
Would win
Coastlinekm · Higher wins ↑
193
563
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
25.1° N
Would win
38
Round 38Won46 countries · 2 lives left
BulgariavsFiji
Wealth per person: 38,829 vs 14,656 int’l $ · Higher wins ↑
Conquered Fiji.
Other category comparisons 4 other winning choices
All eight categories for Bulgaria against Fiji
Category
Bulgaria
Fiji
Result
Areakm² · Higher wins ↑
110,879
18,274
Would win
Populationpeople · Higher wins ↑
6,446,596
924,145
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
38,829
14,656
Would win
Densityper km² · Higher wins ↑
58.1
50.6
Would win
Highest peakm · Higher wins ↑
2,925
1,324
Would win
Coastlinekm · Higher wins ↑
354
1,129
Would lose
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
17.8° S
Would lose
39
Round 39Won47 countries · 2 lives left
LebanonvsBurundi
Density: 555.1 vs 491.9 per km² · Higher wins ↑
Conquered Burundi.
Other category comparisons 3 other winning choices
All eight categories for Lebanon against Burundi
Category
Lebanon
Burundi
Result
Areakm² · Higher wins ↑
10,400
27,830
Would lose
Populationpeople · Higher wins ↑
5,773,493
13,689,450
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
1,147
Would win
Densityper km² · Higher wins ↑ · Chosen
555.1
491.9
Would win
Highest peakm · Higher wins ↑
3,088
2,685
Would win
Coastlinekm · Higher wins ↑
225
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
3.4° S
Would lose
40
Round 40Won48 countries · 2 lives left
MalaysiavsCuba
Population: 35,126,298 vs 11,019,931 people · Higher wins ↑
Conquered Cuba.
Other category comparisons 6 other winning choices
All eight categories for Malaysia against Cuba
Category
Malaysia
Cuba
Result
Areakm² · Higher wins ↑
329,847
110,860
Would win
Populationpeople · Higher wins ↑ · Chosen
35,126,298
11,019,931
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
36,497
Unavailable
Unavailable
Densityper km² · Higher wins ↑
106.5
99.4
Would win
Highest peakm · Higher wins ↑
4,095
1,974
Would win
Coastlinekm · Higher wins ↑
4,675
3,735
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓