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Untimed expedition · Data edition 01051846d672
101Wins
4Losses
0Ties
Explore the final empire · 109 countries
No countries match your search.
The path through the world
One choice at a time.
105 rounds
Where it began · 12 countries
Guinea-Bissau · Vietnam · Netherlands · Saudi Arabia · Uruguay · Venezuela · Finland · Spain · South Korea · Algeria · Nepal · Italy
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 21Won33 countries · 4 lives left
UruguayvsRomania
Proximity to equator: 32.9° S vs 45.7° N from the equator · Closer wins ↓
Conquered Romania.
Other category comparisons 2 other winning choices
All eight categories for Uruguay against Romania
Category
Uruguay
Romania
Result
Areakm² · Higher wins ↑
176,215
238,391
Would lose
Populationpeople · Higher wins ↑
3,388,081
19,061,062
Would lose
Wealth per personint’l $ · Higher wins ↑
34,546
45,982
Would lose
Densityper km² · Higher wins ↑
19.2
80.0
Would lose
Highest peakm · Higher wins ↑
514
2,544
Would lose
Coastlinekm · Higher wins ↑
660
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
32.9° S
45.7° N
Would win
22
Round 22Won34 countries · 4 lives left
LatviavsMozambique
Wealth per person: 42,784 vs 1,680 int’l $ · Higher wins ↑
Conquered Mozambique.
Other category comparisons 0 other winning choices
All eight categories for Latvia against Mozambique
Category
Latvia
Mozambique
Result
Areakm² · Higher wins ↑
64,589
799,380
Would lose
Populationpeople · Higher wins ↑
1,883,710
33,635,160
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,784
1,680
Would win
Densityper km² · Higher wins ↑
29.2
42.1
Would lose
Highest peakm · Higher wins ↑
312
2,436
Would lose
Coastlinekm · Higher wins ↑
498
2,470
Would lose
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
14.0° S
Would lose
23
Round 23Won35 countries · 4 lives left
VenezuelavsTimor-Leste
Population: 28,300,854 vs 1,384,286 people · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 4 other winning choices
All eight categories for Venezuela against Timor-Leste
Category
Venezuela
Timor-Leste
Result
Areakm² · Higher wins ↑
912,050
14,874
Would win
Populationpeople · Higher wins ↑ · Chosen
28,300,854
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
4,811
Unavailable
Densityper km² · Higher wins ↑
31.0
93.1
Would lose
Highest peakm · Higher wins ↑
4,978
2,963
Would win
Coastlinekm · Higher wins ↑
2,800
706
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.2° N
8.9° S
Would win
24
Round 24Won36 countries · 4 lives left
QatarvsMongolia
Density: 229.2 vs 2.2 per km² · Higher wins ↑
Conquered Mongolia.
Other category comparisons 3 other winning choices
All eight categories for Qatar against Mongolia
Category
Qatar
Mongolia
Result
Areakm² · Higher wins ↑
11,586
1,564,116
Would lose
Populationpeople · Higher wins ↑
2,656,032
3,481,145
Would lose
Wealth per personint’l $ · Higher wins ↑
129,025
18,020
Would win
Densityper km² · Higher wins ↑ · Chosen
229.2
2.2
Would win
Highest peakm · Higher wins ↑
103
4,374
Would lose
Coastlinekm · Higher wins ↑
563
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
25.1° N
46.0° N
Would win
25
Round 25Won37 countries · 4 lives left
FinlandvsPortugal
Area: 338,145 vs 92,090 km² · Higher wins ↑
Conquered Portugal.
Other category comparisons 1 other winning choice
All eight categories for Finland against Portugal
Category
Finland
Portugal
Result
Areakm² · Higher wins ↑ · Chosen
338,145
92,090
Would win
Populationpeople · Higher wins ↑
5,583,911
10,578,174
Would lose
Wealth per personint’l $ · Higher wins ↑
63,467
49,800
Would win
Densityper km² · Higher wins ↑
16.5
114.9
Would lose
Highest peakm · Higher wins ↑
1,328
2,351
Would lose
Coastlinekm · Higher wins ↑
1,250
1,793
Would lose
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
40.7° N
Would lose
26
Round 26Won38 countries · 4 lives left
AfghanistanvsEswatini
Highest peak: 7,492 vs 1,862 m · Higher wins ↑
Conquered Eswatini.
Other category comparisons 2 other winning choices
All eight categories for Afghanistan against Eswatini
Category
Afghanistan
Eswatini
Result
Areakm² · Higher wins ↑
652,230
17,364
Would win
Populationpeople · Higher wins ↑
41,454,761
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
2,204
11,309
Would lose
Densityper km² · Higher wins ↑
63.6
70.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,492
1,862
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
26.6° S
Would lose
27
Round 27Won39 countries · 4 lives left
SpainvsRepublic of the Congo
Population: 48,352,528 vs 6,182,885 people · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 6 other winning choices
All eight categories for Spain against Republic of the Congo
Category
Spain
Republic of the Congo
Result
Areakm² · Higher wins ↑
505,370
342,000
Would win
Populationpeople · Higher wins ↑ · Chosen
48,352,528
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑
55,661
6,856
Would win
Densityper km² · Higher wins ↑
95.7
18.1
Would win
Highest peakm · Higher wins ↑
3,718
1,020
Would win
Coastlinekm · Higher wins ↑
4,964
169
Would win
Flag colourscolours · Higher wins ↑
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
0.1° N
Would lose
28
Round 28Won40 countries · 4 lives left
Côte d’IvoirevsLiberia
Area: 322,463 vs 111,369 km² · Higher wins ↑
Conquered Liberia.
Other category comparisons 4 other winning choices
All eight categories for Côte d’Ivoire against Liberia
Category
Côte d’Ivoire
Liberia
Result
Areakm² · Higher wins ↑ · Chosen
322,463
111,369
Would win
Populationpeople · Higher wins ↑
31,165,654
5,493,031
Would win
Wealth per personint’l $ · Higher wins ↑
7,243
1,796
Would win
Densityper km² · Higher wins ↑
96.6
49.3
Would win
Highest peakm · Higher wins ↑
1,752
1,447
Would win
Coastlinekm · Higher wins ↑
515
579
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.5° N
7.0° N
Would lose
29
Round 29Won41 countries · 4 lives left
South KoreavsArgentina
Density: 518.6 vs 16.4 per km² · Higher wins ↑
Conquered Argentina.
Other category comparisons 2 other winning choices
All eight categories for South Korea against Argentina
Category
South Korea
Argentina
Result
Areakm² · Higher wins ↑
99,720
2,780,400
Would lose
Populationpeople · Higher wins ↑
51,712,619
45,538,401
Would win
Wealth per personint’l $ · Higher wins ↑
57,430
30,246
Would win
Densityper km² · Higher wins ↑ · Chosen
518.6
16.4
Would win
Highest peakm · Higher wins ↑
1,950
6,962
Would lose
Coastlinekm · Higher wins ↑
2,413
4,989
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
31.4° S
Would lose
30
Round 30Won42 countries · 4 lives left
SurinamevsGeorgia
Area: 163,820 vs 69,700 km² · Higher wins ↑
Conquered Georgia.
Other category comparisons 3 other winning choices
All eight categories for Suriname against Georgia
Category
Suriname
Georgia
Result
Areakm² · Higher wins ↑ · Chosen
163,820
69,700
Would win
Populationpeople · Higher wins ↑
628,886
3,715,483
Would lose
Wealth per personint’l $ · Higher wins ↑
21,128
25,093
Would lose
Densityper km² · Higher wins ↑
3.8
53.3
Would lose
Highest peakm · Higher wins ↑
1,230
5,193
Would lose
Coastlinekm · Higher wins ↑
386
310
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.1° N
42.4° N
Would win
31
Round 31Won43 countries · 4 lives left
AlgeriavsComoros
Area: 2,381,740 vs 2,235 km² · Higher wins ↑
Conquered Comoros.
Other category comparisons 4 other winning choices
All eight categories for Algeria against Comoros
Category
Algeria
Comoros
Result
Areakm² · Higher wins ↑ · Chosen
2,381,740
2,235
Would win
Populationpeople · Higher wins ↑
46,164,219
850,387
Would win
Wealth per personint’l $ · Higher wins ↑
16,838
3,897
Would win
Densityper km² · Higher wins ↑
19.4
380.5
Would lose
Highest peakm · Higher wins ↑
2,908
2,360
Would win
Coastlinekm · Higher wins ↑
998
340
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.4° N
11.7° S
Would lose
32
Round 32Won44 countries · 4 lives left
GermanyvsGuinea
Population: 83,287,273 vs 14,405,468 people · Higher wins ↑
Conquered Guinea.
Other category comparisons 5 other winning choices
All eight categories for Germany against Guinea
Category
Germany
Guinea
Result
Areakm² · Higher wins ↑
357,022
245,857
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
14,405,468
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
4,337
Would win
Densityper km² · Higher wins ↑
233.3
58.6
Would win
Highest peakm · Higher wins ↑
2,963
1,752
Would win
Coastlinekm · Higher wins ↑
2,389
320
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
10.7° N
Would lose
33
Round 33Won45 countries · 4 lives left
NepalvsEthiopia
Highest peak: 8,849 vs 4,550 m · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 2 other winning choices
All eight categories for Nepal against Ethiopia
Category
Nepal
Ethiopia
Result
Areakm² · Higher wins ↑
147,181
1,104,300
Would lose
Populationpeople · Higher wins ↑
29,694,614
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑
5,400
3,063
Would win
Densityper km² · Higher wins ↑
201.8
116.5
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
4,550
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
8.5° N
Would lose
34
Round 34Won46 countries · 4 lives left
North KoreavsOman
Population: 26,418,204 vs 5,049,269 people · Higher wins ↑
Conquered Oman.
Other category comparisons 2 other winning choices
All eight categories for North Korea against Oman
Category
North Korea
Oman
Result
Areakm² · Higher wins ↑
120,538
309,500
Would lose
Populationpeople · Higher wins ↑ · Chosen
26,418,204
5,049,269
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
41,980
Unavailable
Densityper km² · Higher wins ↑
219.2
16.3
Would win
Highest peakm · Higher wins ↑
2,744
3,004
Would lose
Coastlinekm · Higher wins ↑
2,495
2,092
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
22.1° N
Would lose
35
Round 35Won47 countries · 4 lives left
ItalyvsIceland
Population: 58,984,216 vs 385,663 people · Higher wins ↑
Conquered Iceland.
Other category comparisons 5 other winning choices
All eight categories for Italy against Iceland
Category
Italy
Iceland
Result
Areakm² · Higher wins ↑
301,340
103,000
Would win
Populationpeople · Higher wins ↑ · Chosen
58,984,216
385,663
Would win
Wealth per personint’l $ · Higher wins ↑
60,350
82,257
Would lose
Densityper km² · Higher wins ↑
195.7
3.7
Would win
Highest peakm · Higher wins ↑
4,748
2,110
Would win
Coastlinekm · Higher wins ↑
7,600
4,970
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
64.7° N
Would win
36
Round 36Won48 countries · 4 lives left
AzerbaijanvsJapan
Flag colours: 4 vs 2 colours · Higher wins ↑
Conquered Japan.
Other category comparisons 1 other winning choice
All eight categories for Azerbaijan against Japan
Category
Azerbaijan
Japan
Result
Areakm² · Higher wins ↑
86,600
377,915
Would lose
Populationpeople · Higher wins ↑
10,153,958
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑
23,671
52,726
Would lose
Densityper km² · Higher wins ↑
117.3
329.5
Would lose
Highest peakm · Higher wins ↑
4,466
3,776
Would win
Coastlinekm · Higher wins ↑
0
29,751
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
36.7° N
Would lose
37
Round 37Won49 countries · 4 lives left
Guinea-BissauvsMyanmar
Proximity to equator: 12.1° N vs 21.6° N from the equator · Closer wins ↓
Conquered Myanmar.
Other category comparisons 0 other winning choices
All eight categories for Guinea-Bissau against Myanmar
Category
Guinea-Bissau
Myanmar
Result
Areakm² · Higher wins ↑
36,125
676,578
Would lose
Populationpeople · Higher wins ↑
2,153,339
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
5,958
Would lose
Densityper km² · Higher wins ↑
59.6
80.0
Would lose
Highest peakm · Higher wins ↑
277
5,870
Would lose
Coastlinekm · Higher wins ↑
350
1,930
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
21.6° N
Would win
38
Round 38Won50 countries · 4 lives left
SwitzerlandvsMalta
Wealth per person: 93,940 vs 67,101 int’l $ · Higher wins ↑
Conquered Malta.
Other category comparisons 3 other winning choices
All eight categories for Switzerland against Malta
Category
Switzerland
Malta
Result
Areakm² · Higher wins ↑
41,277
316
Would win
Populationpeople · Higher wins ↑
8,888,822
552,747
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
67,101
Would win
Densityper km² · Higher wins ↑
215.3
1,749.2
Would lose
Highest peakm · Higher wins ↑
4,634
253
Would win
Coastlinekm · Higher wins ↑
0
196.8
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
35.9° N
Would lose
39
Round 39Won51 countries · 4 lives left
Central African RepublicvsLibya
Proximity to equator: 7.0° N vs 26.1° N from the equator · Closer wins ↓
Conquered Libya.
Other category comparisons 2 other winning choices
All eight categories for Central African Republic against Libya
Category
Central African Republic
Libya
Result
Areakm² · Higher wins ↑
622,984
1,759,540
Would lose
Populationpeople · Higher wins ↑
5,152,421
7,305,659
Would lose
Wealth per personint’l $ · Higher wins ↑
1,258
13,858
Would lose
Densityper km² · Higher wins ↑
8.3
4.2
Would win
Highest peakm · Higher wins ↑
1,410
2,267
Would lose
Coastlinekm · Higher wins ↑
0
1,770
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
26.1° N
Would win
40
Round 40Won52 countries · 4 lives left
LuxembourgvsPapua New Guinea
Wealth per person: 152,596 vs 4,672 int’l $ · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against Papua New Guinea
Category
Luxembourg
Papua New Guinea
Result
Areakm² · Higher wins ↑
2,586
462,840
Would lose
Populationpeople · Higher wins ↑
666,430
10,389,635
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
4,672
Would win
Densityper km² · Higher wins ↑
257.7
22.4
Would win
Highest peakm · Higher wins ↑
559
4,509
Would lose
Coastlinekm · Higher wins ↑
0
5,152
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Uruguayvs
Romania
Latvia
Mozambique
Venezuela
Timor-Leste
Qatar
Mongolia
Finland
Portugal
Afghanistan
Eswatini
Spain
Republic of the Congo
Côte d’Ivoire
Liberia
South Korea
Argentina
Suriname
Georgia
Algeria
Comoros
Germany
Guinea
Nepal
Ethiopia
North Korea
Oman
Italy
Iceland
Azerbaijan
Japan
Guinea-Bissau
Myanmar
Switzerland
Malta
Central African Republic
Libya
Luxembourg
Papua New Guinea