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Untimed expedition · Data edition 01051846d672
33Wins
1Losses
0Ties
Explore the final empire · 44 countries
No countries match your search.
The path through the world
One choice at a time.
34 rounds
Where it began · 12 countries
Uruguay · Norway · Estonia · Singapore · United Kingdom · South Africa · China · Solomon Islands · El Salvador · Afghanistan · Guyana · Venezuela
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
UruguayvsSpain
Proximity to equator: 32.9° S vs 40.0° N from the equator · Closer wins ↓
Conquered Spain.
Other category comparisons 0 other winning choices
All eight categories for Uruguay against Spain
Category
Uruguay
Spain
Result
Areakm² · Higher wins ↑
176,215
505,370
Would lose
Populationpeople · Higher wins ↑
3,388,081
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑
34,546
55,661
Would lose
Densityper km² · Higher wins ↑
19.2
95.7
Would lose
Highest peakm · Higher wins ↑
514
3,718
Would lose
Coastlinekm · Higher wins ↑
660
4,964
Would lose
Flag colourscolours · Higher wins ↑
4
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
32.9° S
40.0° N
Would win
2
Round 2Won14 countries · 4 lives left
NorwayvsDR Congo
Coastline: 25,148 vs 37 km · Higher wins ↑
Conquered DR Congo.
Other category comparisons 1 other winning choice
All eight categories for Norway against DR Congo
Category
Norway
DR Congo
Result
Areakm² · Higher wins ↑
323,802
2,344,858
Would lose
Populationpeople · Higher wins ↑
5,519,601
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑
107,768
1,732
Would win
Densityper km² · Higher wins ↑
17.0
45.1
Would lose
Highest peakm · Higher wins ↑
2,469
5,110
Would lose
Coastlinekm · Higher wins ↑ · Chosen
25,148
37
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
61.5° N
1.9° S
Would lose
3
Round 3Won15 countries · 4 lives left
EstoniavsRwanda
Coastline: 3,794 vs 0 km · Higher wins ↑
Conquered Rwanda.
Other category comparisons 2 other winning choices
All eight categories for Estonia against Rwanda
Category
Estonia
Rwanda
Result
Areakm² · Higher wins ↑
45,228
26,338
Would win
Populationpeople · Higher wins ↑
1,370,286
13,954,471
Would lose
Wealth per personint’l $ · Higher wins ↑
48,848
3,519
Would win
Densityper km² · Higher wins ↑
30.3
529.8
Would lose
Highest peakm · Higher wins ↑
318
4,519
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,794
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
1.8° S
Would lose
4
Round 4Won16 countries · 4 lives left
SingaporevsVietnam
Density: 8,230.4 vs 303.0 per km² · Higher wins ↑
Conquered Vietnam.
Other category comparisons 2 other winning choices
All eight categories for Singapore against Vietnam
Category
Singapore
Vietnam
Result
Areakm² · Higher wins ↑
719
331,210
Would lose
Populationpeople · Higher wins ↑
5,917,648
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
15,034
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
303.0
Would win
Highest peakm · Higher wins ↑
166
3,144
Would lose
Coastlinekm · Higher wins ↑
193
3,444
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
21.7° N
Would win
5
Round 5Won17 countries · 4 lives left
United KingdomvsCroatia
Population: 68,526,000 vs 3,859,686 people · Higher wins ↑
Conquered Croatia.
Other category comparisons 4 other winning choices
All eight categories for United Kingdom against Croatia
Category
United Kingdom
Croatia
Result
Areakm² · Higher wins ↑
243,610
56,594
Would win
Populationpeople · Higher wins ↑ · Chosen
68,526,000
3,859,686
Would win
Wealth per personint’l $ · Higher wins ↑
60,787
47,760
Would win
Densityper km² · Higher wins ↑
281.3
68.2
Would win
Highest peakm · Higher wins ↑
1,345
1,831
Would lose
Coastlinekm · Higher wins ↑
12,429
5,835
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
45.8° N
Would lose
6
Round 6Won18 countries · 4 lives left
South AfricavsSyria
Population: 63,212,384 vs 23,594,623 people · Higher wins ↑
Conquered Syria.
Other category comparisons 5 other winning choices
All eight categories for South Africa against Syria
Category
South Africa
Syria
Result
Areakm² · Higher wins ↑
1,219,090
187,437
Would win
Populationpeople · Higher wins ↑ · Chosen
63,212,384
23,594,623
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
15,212
Unavailable
Unavailable
Densityper km² · Higher wins ↑
51.9
125.9
Would lose
Highest peakm · Higher wins ↑
3,450
2,814
Would win
Coastlinekm · Higher wins ↑
2,798
193
Would win
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.2° S
35.0° N
Would win
7
Round 7Won19 countries · 4 lives left
ChinavsNew Zealand
Population: 1,410,710,000 vs 5,200,000 people · Higher wins ↑
Conquered New Zealand.
Other category comparisons 4 other winning choices
All eight categories for China against New Zealand
Category
China
New Zealand
Result
Areakm² · Higher wins ↑
9,596,960
268,838
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
5,200,000
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
54,950
Would lose
Densityper km² · Higher wins ↑
147.0
19.3
Would win
Highest peakm · Higher wins ↑
8,849
3,724
Would win
Coastlinekm · Higher wins ↑
14,500
15,134
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
45.3° S
Would win
8
Round 8Won20 countries · 4 lives left
Solomon IslandsvsGabon
Coastline: 5,313 vs 885 km · Higher wins ↑
Conquered Gabon.
Other category comparisons 3 other winning choices
All eight categories for Solomon Islands against Gabon
Category
Solomon Islands
Gabon
Result
Areakm² · Higher wins ↑
28,896
267,667
Would lose
Populationpeople · Higher wins ↑
800,005
2,484,789
Would lose
Wealth per personint’l $ · Higher wins ↑
2,599
20,773
Would lose
Densityper km² · Higher wins ↑
27.7
9.3
Would win
Highest peakm · Higher wins ↑
2,335
1,050
Would win
Coastlinekm · Higher wins ↑ · Chosen
5,313
885
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
9.6° S
0.6° S
Would lose
9
Round 9Won21 countries · 4 lives left
El SalvadorvsTurkmenistan
Proximity to equator: 13.9° N vs 39.9° N from the equator · Closer wins ↓
Conquered Turkmenistan.
Other category comparisons 3 other winning choices
All eight categories for El Salvador against Turkmenistan
Category
El Salvador
Turkmenistan
Result
Areakm² · Higher wins ↑
21,041
488,100
Would lose
Populationpeople · Higher wins ↑
6,309,624
7,364,438
Would lose
Wealth per personint’l $ · Higher wins ↑
12,667
19,645
Would lose
Densityper km² · Higher wins ↑
299.9
15.1
Would win
Highest peakm · Higher wins ↑
2,730
3,139
Would lose
Coastlinekm · Higher wins ↑
307
0
Would win
Flag colourscolours · Higher wins ↑
9
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.9° N
39.9° N
Would win
10
Round 10Won22 countries · 4 lives left
AfghanistanvsIran
Highest peak: 7,492 vs 5,625 m · Higher wins ↑
Conquered Iran.
Other category comparisons 2 other winning choices
All eight categories for Afghanistan against Iran
Category
Afghanistan
Iran
Result
Areakm² · Higher wins ↑
652,230
1,648,195
Would lose
Populationpeople · Higher wins ↑
41,454,761
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑
2,204
18,933
Would lose
Densityper km² · Higher wins ↑
63.6
55.0
Would win
Highest peakm · Higher wins ↑ · Chosen
7,492
5,625
Would win
Coastlinekm · Higher wins ↑
0
2,440
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
32.1° N
Would lose
11
Round 11Won23 countries · 4 lives left
GuyanavsTimor-Leste
Wealth per person: 54,774 vs 4,811 int’l $ · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 3 other winning choices
All eight categories for Guyana against Timor-Leste
Category
Guyana
Timor-Leste
Result
Areakm² · Higher wins ↑
214,969
14,874
Would win
Populationpeople · Higher wins ↑
826,353
1,384,286
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,774
4,811
Would win
Densityper km² · Higher wins ↑
3.8
93.1
Would lose
Highest peakm · Higher wins ↑
2,775
2,963
Would lose
Coastlinekm · Higher wins ↑
459
706
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.7° N
8.9° S
Would win
12
Round 12Won24 countries · 4 lives left
VenezuelavsGambia
Population: 28,300,854 vs 2,697,845 people · Higher wins ↑
Conquered Gambia.
Other category comparisons 4 other winning choices
All eight categories for Venezuela against Gambia
Category
Venezuela
Gambia
Result
Areakm² · Higher wins ↑
912,050
11,300
Would win
Populationpeople · Higher wins ↑ · Chosen
28,300,854
2,697,845
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
3,292
Unavailable
Densityper km² · Higher wins ↑
31.0
238.7
Would lose
Highest peakm · Higher wins ↑
4,978
63
Would win
Coastlinekm · Higher wins ↑
2,800
80
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.2° N
13.6° N
Would win
13
Round 13Won25 countries · 4 lives left
UruguayvsMyanmar
Wealth per person: 34,546 vs 5,958 int’l $ · Higher wins ↑
Conquered Myanmar.
Other category comparisons 0 other winning choices
All eight categories for Uruguay against Myanmar
Category
Uruguay
Myanmar
Result
Areakm² · Higher wins ↑
176,215
676,578
Would lose
Populationpeople · Higher wins ↑
3,388,081
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
34,546
5,958
Would win
Densityper km² · Higher wins ↑
19.2
80.0
Would lose
Highest peakm · Higher wins ↑
514
5,870
Would lose
Coastlinekm · Higher wins ↑
660
1,930
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.9° S
21.6° N
Would lose
14
Round 14Won26 countries · 4 lives left
SpainvsPanama
Wealth per person: 55,661 vs 39,846 int’l $ · Higher wins ↑
Conquered Panama.
Other category comparisons 6 other winning choices
All eight categories for Spain against Panama
Category
Spain
Panama
Result
Areakm² · Higher wins ↑
505,370
75,420
Would win
Populationpeople · Higher wins ↑
48,352,528
4,458,759
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
55,661
39,846
Would win
Densityper km² · Higher wins ↑
95.7
59.1
Would win
Highest peakm · Higher wins ↑
3,718
3,475
Would win
Coastlinekm · Higher wins ↑
4,964
2,490
Would win
Flag colourscolours · Higher wins ↑
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
8.4° N
Would lose
15
Round 15Won27 countries · 4 lives left
NorwayvsNicaragua
Coastline: 25,148 vs 910 km · Higher wins ↑
Conquered Nicaragua.
Other category comparisons 3 other winning choices
All eight categories for Norway against Nicaragua
Category
Norway
Nicaragua
Result
Areakm² · Higher wins ↑
323,802
130,370
Would win
Populationpeople · Higher wins ↑
5,519,601
6,823,613
Would lose
Wealth per personint’l $ · Higher wins ↑
107,768
8,327
Would win
Densityper km² · Higher wins ↑
17.0
52.3
Would lose
Highest peakm · Higher wins ↑
2,469
2,085
Would win
Coastlinekm · Higher wins ↑ · Chosen
25,148
910
Would win
Flag colourscolours · Higher wins ↑
3
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
61.5° N
12.6° N
Would lose
16
Round 16Won28 countries · 4 lives left
DR CongovsUzbekistan
Population: 105,789,731 vs 35,652,307 people · Higher wins ↑
Conquered Uzbekistan.
Other category comparisons 4 other winning choices
All eight categories for DR Congo against Uzbekistan
Category
DR Congo
Uzbekistan
Result
Areakm² · Higher wins ↑
2,344,858
447,400
Would win
Populationpeople · Higher wins ↑ · Chosen
105,789,731
35,652,307
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
11,679
Would lose
Densityper km² · Higher wins ↑
45.1
79.7
Would lose
Highest peakm · Higher wins ↑
5,110
4,643
Would win
Coastlinekm · Higher wins ↑
37
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
41.5° N
Would win
17
Round 17Won29 countries · 4 lives left
EstoniavsBurkina Faso
Coastline: 3,794 vs 0 km · Higher wins ↑
Conquered Burkina Faso.
Other category comparisons 1 other winning choice
All eight categories for Estonia against Burkina Faso
Category
Estonia
Burkina Faso
Result
Areakm² · Higher wins ↑
45,228
274,200
Would lose
Populationpeople · Higher wins ↑
1,370,286
23,025,776
Would lose
Wealth per personint’l $ · Higher wins ↑
48,848
2,762
Would win
Densityper km² · Higher wins ↑
30.3
84.0
Would lose
Highest peakm · Higher wins ↑
318
749
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,794
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
12.8° N
Would lose
18
Round 18Won30 countries · 4 lives left
RwandavsPapua New Guinea
Density: 529.8 vs 22.4 per km² · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 3 other winning choices
All eight categories for Rwanda against Papua New Guinea
Category
Rwanda
Papua New Guinea
Result
Areakm² · Higher wins ↑
26,338
462,840
Would lose
Populationpeople · Higher wins ↑
13,954,471
10,389,635
Would win
Wealth per personint’l $ · Higher wins ↑
3,519
4,672
Would lose
Densityper km² · Higher wins ↑ · Chosen
529.8
22.4
Would win
Highest peakm · Higher wins ↑
4,519
4,509
Would win
Coastlinekm · Higher wins ↑
0
5,152
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.8° S
5.5° S
Would win
19
Round 19Won31 countries · 4 lives left
SingaporevsVanuatu
Density: 8,230.4 vs 26.3 per km² · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 3 other winning choices
All eight categories for Singapore against Vanuatu
Category
Singapore
Vanuatu
Result
Areakm² · Higher wins ↑
719
12,189
Would lose
Populationpeople · Higher wins ↑
5,917,648
320,409
Would win
Wealth per personint’l $ · Higher wins ↑
144,728
4,202
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
26.3
Would win
Highest peakm · Higher wins ↑
166
1,877
Would lose
Coastlinekm · Higher wins ↑
193
2,528
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
15.4° S
Would win
20
Round 20Won32 countries · 4 lives left
VietnamvsMontenegro
Population: 100,352,192 vs 623,529 people · Higher wins ↑
Conquered Montenegro.
Other category comparisons 5 other winning choices
All eight categories for Vietnam against Montenegro
Category
Vietnam
Montenegro
Result
Areakm² · Higher wins ↑
331,210
13,812
Would win
Populationpeople · Higher wins ↑ · Chosen
100,352,192
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
31,863
Would lose
Densityper km² · Higher wins ↑
303.0
45.1
Would win
Highest peakm · Higher wins ↑
3,144
2,534
Would win
Coastlinekm · Higher wins ↑
3,444
293.5
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓