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Untimed expedition · Data edition 01051846d672
28Wins
2Losses
0Ties
Explore the final empire · 38 countries
No countries match your search.
The path through the world
One choice at a time.
30 rounds
Where it began · 12 countries
Uruguay · Bulgaria · Bhutan · Indonesia · Georgia · Netherlands · Lithuania · South Africa · Jamaica · Syria · Finland · Australia
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
UruguayvsAndorra
Area: 176,215 vs 468 km² · Higher wins ↑
Conquered Andorra.
Other category comparisons 3 other winning choices
All eight categories for Uruguay against Andorra
Category
Uruguay
Andorra
Result
Areakm² · Higher wins ↑ · Chosen
176,215
468
Would win
Populationpeople · Higher wins ↑
3,388,081
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
34,546
71,790
Would lose
Densityper km² · Higher wins ↑
19.2
172.8
Would lose
Highest peakm · Higher wins ↑
514
2,946
Would lose
Coastlinekm · Higher wins ↑
660
0
Would win
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.9° S
42.5° N
Would win
2
Round 2Won14 countries · 4 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
3
Round 3Won15 countries · 4 lives left
BhutanvsBrunei
Highest peak: 7,570 vs 1,850 m · Higher wins ↑
Conquered Brunei.
Other category comparisons 2 other winning choices
All eight categories for Bhutan against Brunei
Category
Bhutan
Brunei
Result
Areakm² · Higher wins ↑
38,394
5,765
Would win
Populationpeople · Higher wins ↑
786,385
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
16,229
85,103
Would lose
Densityper km² · Higher wins ↑
20.5
79.6
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
1,850
Would win
Coastlinekm · Higher wins ↑
0
161
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
4.5° N
Would lose
4
Round 4Won16 countries · 4 lives left
IndonesiavsEl Salvador
Population: 281,190,067 vs 6,309,624 people · Higher wins ↑
Conquered El Salvador.
Other category comparisons 5 other winning choices
All eight categories for Indonesia against El Salvador
Category
Indonesia
El Salvador
Result
Areakm² · Higher wins ↑
1,904,569
21,041
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
6,309,624
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
12,667
Would win
Densityper km² · Higher wins ↑
147.6
299.9
Would lose
Highest peakm · Higher wins ↑
4,884
2,730
Would win
Coastlinekm · Higher wins ↑
54,716
307
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
13.9° N
Would win
5
Round 5Won17 countries · 4 lives left
GeorgiavsEswatini
Highest peak: 5,193 vs 1,862 m · Higher wins ↑
Conquered Eswatini.
Other category comparisons 4 other winning choices
All eight categories for Georgia against Eswatini
Category
Georgia
Eswatini
Result
Areakm² · Higher wins ↑
69,700
17,364
Would win
Populationpeople · Higher wins ↑
3,715,483
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
25,093
11,309
Would win
Densityper km² · Higher wins ↑
53.3
70.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
5,193
1,862
Would win
Coastlinekm · Higher wins ↑
310
0
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.4° N
26.6° S
Would lose
6
Round 6Won18 countries · 4 lives left
NetherlandsvsSouth Korea
Wealth per person: 80,392 vs 57,430 int’l $ · Higher wins ↑
Conquered South Korea.
Other category comparisons 0 other winning choices
All eight categories for Netherlands against South Korea
Category
Netherlands
South Korea
Result
Areakm² · Higher wins ↑
41,543
99,720
Would lose
Populationpeople · Higher wins ↑
17,877,117
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
80,392
57,430
Would win
Densityper km² · Higher wins ↑
430.3
518.6
Would lose
Highest peakm · Higher wins ↑
322
1,950
Would lose
Coastlinekm · Higher wins ↑
451
2,413
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.2° N
36.3° N
Would lose
7
Round 7Won19 countries · 4 lives left
LithuaniavsMyanmar
Wealth per person: 52,720 vs 5,958 int’l $ · Higher wins ↑
Conquered Myanmar.
Other category comparisons 0 other winning choices
All eight categories for Lithuania against Myanmar
Category
Lithuania
Myanmar
Result
Areakm² · Higher wins ↑
65,300
676,578
Would lose
Populationpeople · Higher wins ↑
2,871,585
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
5,958
Would win
Densityper km² · Higher wins ↑
44.0
80.0
Would lose
Highest peakm · Higher wins ↑
294
5,870
Would lose
Coastlinekm · Higher wins ↑
90
1,930
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
21.6° N
Would lose
8
Round 8Won20 countries · 4 lives left
South AfricavsCzechia
Area: 1,219,090 vs 78,867 km² · Higher wins ↑
Conquered Czechia.
Other category comparisons 5 other winning choices
All eight categories for South Africa against Czechia
Category
South Africa
Czechia
Result
Areakm² · Higher wins ↑ · Chosen
1,219,090
78,867
Would win
Populationpeople · Higher wins ↑
63,212,384
10,864,042
Would win
Wealth per personint’l $ · Higher wins ↑
15,212
56,062
Would lose
Densityper km² · Higher wins ↑
51.9
137.8
Would lose
Highest peakm · Higher wins ↑
3,450
1,602
Would win
Coastlinekm · Higher wins ↑
2,798
0
Would win
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.2° S
49.8° N
Would win
9
Round 9Won21 countries · 4 lives left
JamaicavsTimor-Leste
Wealth per person: 12,661 vs 4,811 int’l $ · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 3 other winning choices
All eight categories for Jamaica against Timor-Leste
Category
Jamaica
Timor-Leste
Result
Areakm² · Higher wins ↑
10,991
14,874
Would lose
Populationpeople · Higher wins ↑
2,839,786
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
12,661
4,811
Would win
Densityper km² · Higher wins ↑
258.4
93.1
Would win
Highest peakm · Higher wins ↑
2,256
2,963
Would lose
Coastlinekm · Higher wins ↑
1,022
706
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
18.1° N
8.9° S
Would lose
10
Round 10Won22 countries · 4 lives left
SyriavsChad
Population: 23,594,623 vs 19,319,064 people · Higher wins ↑
Conquered Chad.
Other category comparisons 3 other winning choices
All eight categories for Syria against Chad
Category
Syria
Chad
Result
Areakm² · Higher wins ↑
187,437
1,284,000
Would lose
Populationpeople · Higher wins ↑ · Chosen
23,594,623
19,319,064
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
2,703
Unavailable
Densityper km² · Higher wins ↑
125.9
15.0
Would win
Highest peakm · Higher wins ↑
2,814
3,445
Would lose
Coastlinekm · Higher wins ↑
193
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
35.0° N
17.3° N
Would lose
11
Round 11Won23 countries · 4 lives left
FinlandvsMadagascar
Wealth per person: 63,467 vs 1,810 int’l $ · Higher wins ↑
Conquered Madagascar.
Other category comparisons 0 other winning choices
All eight categories for Finland against Madagascar
Category
Finland
Madagascar
Result
Areakm² · Higher wins ↑
338,145
587,041
Would lose
Populationpeople · Higher wins ↑
5,583,911
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
63,467
1,810
Would win
Densityper km² · Higher wins ↑
16.5
53.1
Would lose
Highest peakm · Higher wins ↑
1,328
2,876
Would lose
Coastlinekm · Higher wins ↑
1,250
4,828
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
18.4° S
Would lose
12
Round 12Won24 countries · 4 lives left
AustraliavsMalawi
Area: 7,741,220 vs 118,484 km² · Higher wins ↑
Conquered Malawi.
Other category comparisons 3 other winning choices
All eight categories for Australia against Malawi
Category
Australia
Malawi
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
118,484
Would win
Populationpeople · Higher wins ↑
26,659,922
21,104,482
Would win
Wealth per personint’l $ · Higher wins ↑
72,273
1,832
Would win
Densityper km² · Higher wins ↑
3.4
178.1
Would lose
Highest peakm · Higher wins ↑
2,228
3,002
Would lose
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
13.4° S
Would lose
13
Round 13Won25 countries · 4 lives left
UruguayvsMali
Wealth per person: 34,546 vs 3,178 int’l $ · Higher wins ↑
Conquered Mali.
Other category comparisons 2 other winning choices
All eight categories for Uruguay against Mali
Category
Uruguay
Mali
Result
Areakm² · Higher wins ↑
176,215
1,240,192
Would lose
Populationpeople · Higher wins ↑
3,388,081
23,769,127
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
34,546
3,178
Would win
Densityper km² · Higher wins ↑
19.2
19.2
Would tie
Highest peakm · Higher wins ↑
514
1,155
Would lose
Coastlinekm · Higher wins ↑
660
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.9° S
18.6° N
Would lose
14
Round 14Won26 countries · 4 lives left
AndorravsSierra Leone
Density: 172.8 vs 117.9 per km² · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 3 other winning choices
All eight categories for Andorra against Sierra Leone
Category
Andorra
Sierra Leone
Result
Areakm² · Higher wins ↑
468
71,740
Would lose
Populationpeople · Higher wins ↑
80,856
8,460,512
Would lose
Wealth per personint’l $ · Higher wins ↑
71,790
3,371
Would win
Densityper km² · Higher wins ↑ · Chosen
172.8
117.9
Would win
Highest peakm · Higher wins ↑
2,946
1,948
Would win
Coastlinekm · Higher wins ↑
0
402
Would lose
Flag colourscolours · Higher wins ↑
7
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
8.7° N
Would lose
15
Round 15Won27 countries · 4 lives left
BulgariavsMoldova
Area: 110,879 vs 33,851 km² · Higher wins ↑
Conquered Moldova.
Other category comparisons 5 other winning choices
All eight categories for Bulgaria against Moldova
Category
Bulgaria
Moldova
Result
Areakm² · Higher wins ↑ · Chosen
110,879
33,851
Would win
Populationpeople · Higher wins ↑
6,446,596
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
38,829
17,751
Would win
Densityper km² · Higher wins ↑
58.1
72.6
Would lose
Highest peakm · Higher wins ↑
2,925
430
Would win
Coastlinekm · Higher wins ↑
354
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
47.5° N
Would win
16
Round 16Lost26 countries · 3 lives left
FijivsCambodia
Proximity to equator: 17.8° S vs 12.6° N from the equator · Closer wins ↓
Returned to the world: Fiji.
Other category comparisons 3 other winning choices
All eight categories for Fiji against Cambodia
Category
Fiji
Cambodia
Result
Areakm² · Higher wins ↑
18,274
181,035
Would lose
Populationpeople · Higher wins ↑
924,145
17,423,880
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
7,437
Would win
Densityper km² · Higher wins ↑
50.6
96.2
Would lose
Highest peakm · Higher wins ↑
1,324
1,810
Would lose
Coastlinekm · Higher wins ↑
1,129
443
Would win
Flag colourscolours · Higher wins ↑
8
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
17.8° S
12.6° N
Would lose
17
Round 17Won27 countries · 3 lives left
BhutanvsCôte d’Ivoire
Highest peak: 7,570 vs 1,752 m · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 2 other winning choices
All eight categories for Bhutan against Côte d’Ivoire
Category
Bhutan
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
38,394
322,463
Would lose
Populationpeople · Higher wins ↑
786,385
31,165,654
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
7,243
Would win
Densityper km² · Higher wins ↑
20.5
96.6
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
1,752
Would win
Coastlinekm · Higher wins ↑
0
515
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
7.5° N
Would lose
18
Round 18Won28 countries · 3 lives left
BruneivsEthiopia
Wealth per person: 85,103 vs 3,063 int’l $ · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 2 other winning choices
All eight categories for Brunei against Ethiopia
Category
Brunei
Ethiopia
Result
Areakm² · Higher wins ↑
5,765
1,104,300
Would lose
Populationpeople · Higher wins ↑
458,949
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
85,103
3,063
Would win
Densityper km² · Higher wins ↑
79.6
116.5
Would lose
Highest peakm · Higher wins ↑
1,850
4,550
Would lose
Coastlinekm · Higher wins ↑
161
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
8.5° N
Would win
19
Round 19Won29 countries · 3 lives left
IndonesiavsBurkina Faso
Population: 281,190,067 vs 23,025,776 people · Higher wins ↑
Conquered Burkina Faso.
Other category comparisons 6 other winning choices
All eight categories for Indonesia against Burkina Faso
Category
Indonesia
Burkina Faso
Result
Areakm² · Higher wins ↑
1,904,569
274,200
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
23,025,776
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
2,762
Would win
Densityper km² · Higher wins ↑
147.6
84.0
Would win
Highest peakm · Higher wins ↑
4,884
749
Would win
Coastlinekm · Higher wins ↑
54,716
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
12.8° N
Would win
20
Round 20Won30 countries · 3 lives left
El SalvadorvsRwanda
Coastline: 307 vs 0 km · Higher wins ↑
Conquered Rwanda.
Other category comparisons 2 other winning choices
All eight categories for El Salvador against Rwanda
Category
El Salvador
Rwanda
Result
Areakm² · Higher wins ↑
21,041
26,338
Would lose
Populationpeople · Higher wins ↑
6,309,624
13,954,471
Would lose
Wealth per personint’l $ · Higher wins ↑
12,667
3,519
Would win
Densityper km² · Higher wins ↑
299.9
529.8
Would lose
Highest peakm · Higher wins ↑
2,730
4,519
Would lose
Coastlinekm · Higher wins ↑ · Chosen
307
0
Would win
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓