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Untimed expedition · Data edition 01051846d672
39Wins
2Losses
1Ties
Explore the final empire · 50 countries
No countries match your search.
The path through the world
One choice at a time.
42 rounds
Where it began · 12 countries
Sierra Leone · Greece · Chile · Colombia · Eswatini · Kyrgyzstan · Yemen · Estonia · Côte d’Ivoire · Gabon · Sri Lanka · Republic of the Congo
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
Sierra LeonevsAustralia
Density: 117.9 vs 3.4 per km² · Higher wins ↑
Conquered Australia.
Other category comparisons 1 other winning choice
All eight categories for Sierra Leone against Australia
Category
Sierra Leone
Australia
Result
Areakm² · Higher wins ↑
71,740
7,741,220
Would lose
Populationpeople · Higher wins ↑
8,460,512
26,659,922
Would lose
Wealth per personint’l $ · Higher wins ↑
3,371
72,273
Would lose
Densityper km² · Higher wins ↑ · Chosen
117.9
3.4
Would win
Highest peakm · Higher wins ↑
1,948
2,228
Would lose
Coastlinekm · Higher wins ↑
402
25,760
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.7° N
23.1° S
Would win
2
Round 2Won14 countries · 4 lives left
GreecevsEquatorial Guinea
Wealth per person: 42,614 vs 16,997 int’l $ · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 4 other winning choices
All eight categories for Greece against Equatorial Guinea
Category
Greece
Equatorial Guinea
Result
Areakm² · Higher wins ↑
131,957
28,051
Would win
Populationpeople · Higher wins ↑
10,407,351
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,614
16,997
Would win
Densityper km² · Higher wins ↑
78.9
65.9
Would win
Highest peakm · Higher wins ↑
2,917
3,008
Would lose
Coastlinekm · Higher wins ↑
13,676
296
Would win
Flag colourscolours · Higher wins ↑
2
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.8° N
1.6° N
Would lose
3
Round 3Won15 countries · 4 lives left
ChilevsZambia
Coastline: 6,435 vs 0 km · Higher wins ↑
Conquered Zambia.
Other category comparisons 3 other winning choices
All eight categories for Chile against Zambia
Category
Chile
Zambia
Result
Areakm² · Higher wins ↑
756,102
752,618
Would win
Populationpeople · Higher wins ↑
19,658,835
20,723,965
Would lose
Wealth per personint’l $ · Higher wins ↑
33,174
4,080
Would win
Densityper km² · Higher wins ↑
26.0
27.5
Would lose
Highest peakm · Higher wins ↑
6,893
2,330
Would win
Coastlinekm · Higher wins ↑ · Chosen
6,435
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
14.7° S
Would lose
4
Round 4Won16 countries · 4 lives left
ColombiavsAustria
Coastline: 3,208 vs 0 km · Higher wins ↑
Conquered Austria.
Other category comparisons 5 other winning choices
All eight categories for Colombia against Austria
Category
Colombia
Austria
Result
Areakm² · Higher wins ↑
1,138,910
83,871
Would win
Populationpeople · Higher wins ↑
52,321,152
9,131,761
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
74,261
Would lose
Densityper km² · Higher wins ↑
45.9
108.9
Would lose
Highest peakm · Higher wins ↑
5,730
3,798
Would win
Coastlinekm · Higher wins ↑ · Chosen
3,208
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
47.7° N
Would win
5
Round 5Won17 countries · 4 lives left
EswatinivsCanada
Density: 70.9 vs 4.0 per km² · Higher wins ↑
Conquered Canada.
Other category comparisons 2 other winning choices
All eight categories for Eswatini against Canada
Category
Eswatini
Canada
Result
Areakm² · Higher wins ↑
17,364
9,984,670
Would lose
Populationpeople · Higher wins ↑
1,230,506
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
11,309
64,962
Would lose
Densityper km² · Higher wins ↑ · Chosen
70.9
4.0
Would win
Highest peakm · Higher wins ↑
1,862
5,959
Would lose
Coastlinekm · Higher wins ↑
0
202,080
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.6° S
58.8° N
Would win
6
Round 6Won18 countries · 4 lives left
KyrgyzstanvsSyria
Highest peak: 7,439 vs 2,814 m · Higher wins ↑
Conquered Syria.
Other category comparisons 1 other winning choice
All eight categories for Kyrgyzstan against Syria
Category
Kyrgyzstan
Syria
Result
Areakm² · Higher wins ↑
199,951
187,437
Would win
Populationpeople · Higher wins ↑
7,099,750
23,594,623
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
7,304
Unavailable
Unavailable
Densityper km² · Higher wins ↑
35.5
125.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,439
2,814
Would win
Coastlinekm · Higher wins ↑
0
193
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.7° N
35.0° N
Would lose
7
Round 7Won19 countries · 4 lives left
YemenvsPhilippines
Proximity to equator: 15.3° N vs 17.0° N from the equator · Closer wins ↓
Conquered Philippines.
Other category comparisons 2 other winning choices
All eight categories for Yemen against Philippines
Category
Yemen
Philippines
Result
Areakm² · Higher wins ↑
527,968
300,000
Would win
Populationpeople · Higher wins ↑
39,390,799
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
10,995
Unavailable
Densityper km² · Higher wins ↑
74.6
383.0
Would lose
Highest peakm · Higher wins ↑
3,666
2,954
Would win
Coastlinekm · Higher wins ↑
1,906
36,289
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.3° N
17.0° N
Would win
8
Round 8Tied19 countries · 4 lives left
EstoniavsBelgium
Flag colours: 3 vs 3 colours · Higher wins ↑
Belgium became contested.
Other category comparisons 2 other winning choices
All eight categories for Estonia against Belgium
Category
Estonia
Belgium
Result
Areakm² · Higher wins ↑
45,228
30,528
Would win
Populationpeople · Higher wins ↑
1,370,286
11,779,946
Would lose
Wealth per personint’l $ · Higher wins ↑
48,848
72,630
Would lose
Densityper km² · Higher wins ↑
30.3
385.9
Would lose
Highest peakm · Higher wins ↑
318
694
Would lose
Coastlinekm · Higher wins ↑
3,794
66.5
Would win
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
50.8° N
Would lose
9
Round 9Won21 countries · 4 lives left
Côte d’IvoirevsEthiopia
Proximity to equator: 7.5° N vs 8.5° N from the equator · Closer wins ↓
Conquered Ethiopia, Belgium.
Other category comparisons 2 other winning choices
All eight categories for Côte d’Ivoire against Ethiopia
Category
Côte d’Ivoire
Ethiopia
Result
Areakm² · Higher wins ↑
322,463
1,104,300
Would lose
Populationpeople · Higher wins ↑
31,165,654
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑
7,243
3,063
Would win
Densityper km² · Higher wins ↑
96.6
116.5
Would lose
Highest peakm · Higher wins ↑
1,752
4,550
Would lose
Coastlinekm · Higher wins ↑
515
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.5° N
8.5° N
Would win
10
Round 10Won22 countries · 4 lives left
GabonvsPoland
Proximity to equator: 0.6° S vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 2 other winning choices
All eight categories for Gabon against Poland
Category
Gabon
Poland
Result
Areakm² · Higher wins ↑
267,667
312,685
Would lose
Populationpeople · Higher wins ↑
2,484,789
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
48,473
Would lose
Densityper km² · Higher wins ↑
9.3
117.3
Would lose
Highest peakm · Higher wins ↑
1,050
2,499
Would lose
Coastlinekm · Higher wins ↑
885
440
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
51.9° N
Would win
11
Round 11Won23 countries · 4 lives left
Sri LankavsLithuania
Population: 22,037,000 vs 2,871,585 people · Higher wins ↑
Conquered Lithuania.
Other category comparisons 6 other winning choices
All eight categories for Sri Lanka against Lithuania
Category
Sri Lanka
Lithuania
Result
Areakm² · Higher wins ↑
65,610
65,300
Would win
Populationpeople · Higher wins ↑ · Chosen
22,037,000
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
14,512
52,720
Would lose
Densityper km² · Higher wins ↑
335.9
44.0
Would win
Highest peakm · Higher wins ↑
2,524
294
Would win
Coastlinekm · Higher wins ↑
1,340
90
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
55.1° N
Would win
12
Round 12Won24 countries · 4 lives left
Republic of the CongovsIceland
Population: 6,182,885 vs 385,663 people · Higher wins ↑
Conquered Iceland.
Other category comparisons 3 other winning choices
All eight categories for Republic of the Congo against Iceland
Category
Republic of the Congo
Iceland
Result
Areakm² · Higher wins ↑
342,000
103,000
Would win
Populationpeople · Higher wins ↑ · Chosen
6,182,885
385,663
Would win
Wealth per personint’l $ · Higher wins ↑
6,856
82,257
Would lose
Densityper km² · Higher wins ↑
18.1
3.7
Would win
Highest peakm · Higher wins ↑
1,020
2,110
Would lose
Coastlinekm · Higher wins ↑
169
4,970
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
0.1° N
64.7° N
Would win
13
Round 13Won25 countries · 4 lives left
Sierra LeonevsBhutan
Population: 8,460,512 vs 786,385 people · Higher wins ↑
Conquered Bhutan.
Other category comparisons 4 other winning choices
All eight categories for Sierra Leone against Bhutan
Category
Sierra Leone
Bhutan
Result
Areakm² · Higher wins ↑
71,740
38,394
Would win
Populationpeople · Higher wins ↑ · Chosen
8,460,512
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
3,371
16,229
Would lose
Densityper km² · Higher wins ↑
117.9
20.5
Would win
Highest peakm · Higher wins ↑
1,948
7,570
Would lose
Coastlinekm · Higher wins ↑
402
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.7° N
27.5° N
Would win
14
Round 14Won26 countries · 4 lives left
AustraliavsBotswana
Area: 7,741,220 vs 581,730 km² · Higher wins ↑
Conquered Botswana.
Other category comparisons 4 other winning choices
All eight categories for Australia against Botswana
Category
Australia
Botswana
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
581,730
Would win
Populationpeople · Higher wins ↑
26,659,922
2,480,244
Would win
Wealth per personint’l $ · Higher wins ↑
72,273
21,029
Would win
Densityper km² · Higher wins ↑
3.4
4.3
Would lose
Highest peakm · Higher wins ↑
2,228
1,495
Would win
Coastlinekm · Higher wins ↑
25,760
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
22.1° S
Would lose
15
Round 15Won27 countries · 4 lives left
GreecevsMauritania
Wealth per person: 42,614 vs 6,972 int’l $ · Higher wins ↑
Conquered Mauritania.
Other category comparisons 4 other winning choices
All eight categories for Greece against Mauritania
Category
Greece
Mauritania
Result
Areakm² · Higher wins ↑
131,957
1,030,700
Would lose
Populationpeople · Higher wins ↑
10,407,351
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,614
6,972
Would win
Densityper km² · Higher wins ↑
78.9
4.9
Would win
Highest peakm · Higher wins ↑
2,917
915
Would win
Coastlinekm · Higher wins ↑
13,676
754
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.8° N
19.4° N
Would lose
16
Round 16Won28 countries · 4 lives left
Equatorial GuineavsMadagascar
Proximity to equator: 1.6° N vs 18.4° S from the equator · Closer wins ↓
Conquered Madagascar.
Other category comparisons 4 other winning choices
All eight categories for Equatorial Guinea against Madagascar
Category
Equatorial Guinea
Madagascar
Result
Areakm² · Higher wins ↑
28,051
587,041
Would lose
Populationpeople · Higher wins ↑
1,847,549
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
1,810
Would win
Densityper km² · Higher wins ↑
65.9
53.1
Would win
Highest peakm · Higher wins ↑
3,008
2,876
Would win
Coastlinekm · Higher wins ↑
296
4,828
Would lose
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
18.4° S
Would win
17
Round 17Won29 countries · 4 lives left
ChilevsBenin
Coastline: 6,435 vs 121 km · Higher wins ↑
Conquered Benin.
Other category comparisons 4 other winning choices
All eight categories for Chile against Benin
Category
Chile
Benin
Result
Areakm² · Higher wins ↑
756,102
112,622
Would win
Populationpeople · Higher wins ↑
19,658,835
14,111,034
Would win
Wealth per personint’l $ · Higher wins ↑
33,174
4,133
Would win
Densityper km² · Higher wins ↑
26.0
125.3
Would lose
Highest peakm · Higher wins ↑
6,893
675
Would win
Coastlinekm · Higher wins ↑ · Chosen
6,435
121
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
10.4° N
Would lose
18
Round 18Won30 countries · 4 lives left
ZambiavsBurundi
Area: 752,618 vs 27,830 km² · Higher wins ↑
Conquered Burundi.
Other category comparisons 3 other winning choices
All eight categories for Zambia against Burundi
Category
Zambia
Burundi
Result
Areakm² · Higher wins ↑ · Chosen
752,618
27,830
Would win
Populationpeople · Higher wins ↑
20,723,965
13,689,450
Would win
Wealth per personint’l $ · Higher wins ↑
4,080
1,147
Would win
Densityper km² · Higher wins ↑
27.5
491.9
Would lose
Highest peakm · Higher wins ↑
2,330
2,685
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
3.4° S
Would lose
19
Round 19Won31 countries · 4 lives left
ColombiavsBrunei
Area: 1,138,910 vs 5,765 km² · Higher wins ↑
Conquered Brunei.
Other category comparisons 4 other winning choices
All eight categories for Colombia against Brunei
Category
Colombia
Brunei
Result
Areakm² · Higher wins ↑ · Chosen
1,138,910
5,765
Would win
Populationpeople · Higher wins ↑
52,321,152
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
85,103
Would lose
Densityper km² · Higher wins ↑
45.9
79.6
Would lose
Highest peakm · Higher wins ↑
5,730
1,850
Would win
Coastlinekm · Higher wins ↑
3,208
161
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
4.5° N
Would win
20
Round 20Won32 countries · 4 lives left
AustriavsPakistan
Wealth per person: 74,261 vs 6,019 int’l $ · Higher wins ↑
Conquered Pakistan.
Other category comparisons 0 other winning choices
All eight categories for Austria against Pakistan
Category
Austria
Pakistan
Result
Areakm² · Higher wins ↑
83,871
796,095
Would lose
Populationpeople · Higher wins ↑
9,131,761
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
74,261
6,019
Would win
Densityper km² · Higher wins ↑
108.9
310.9
Would lose
Highest peakm · Higher wins ↑
3,798
8,611
Would lose
Coastlinekm · Higher wins ↑
0
1,046
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Sierra Leonevs
Australia
Greece
Equatorial Guinea
Chile
Zambia
Colombia
Austria
Eswatini
Canada
Kyrgyzstan
Syria
Yemen
Philippines
Estonia
Belgium
Côte d’Ivoire
Ethiopia
Gabon
Poland
Sri Lanka
Lithuania
Republic of the Congo
Iceland
Bhutan
Botswana
Mauritania
Madagascar
Benin
Burundi
Brunei
Pakistan