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Untimed expedition · Data edition 01051846d672
152Wins
4Losses
1Ties
Explore the final empire · 161 countries
No countries match your search.
The path through the world
One choice at a time.
157 rounds
Where it began · 12 countries
Kenya · Oman · Solomon Islands · Bahrain · Morocco · Kuwait · Bulgaria · Peru · Guyana · Syria · New Zealand · Mexico
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
81
Round 81Won89 countries · 2 lives left
MexicovsGabon
Population: 129,739,759 vs 2,484,789 people · Higher wins ↑
Conquered Gabon.
Other category comparisons 6 other winning choices
All eight categories for Mexico against Gabon
Category
Mexico
Gabon
Result
Areakm² · Higher wins ↑
1,964,375
267,667
Would win
Populationpeople · Higher wins ↑ · Chosen
129,739,759
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
20,773
Would win
Densityper km² · Higher wins ↑
66.0
9.3
Would win
Highest peakm · Higher wins ↑
5,636
1,050
Would win
Coastlinekm · Higher wins ↑
9,330
885
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
0.6° S
Would lose
82
Round 82Won90 countries · 2 lives left
LiberiavsTogo
Coastline: 579 vs 56 km · Higher wins ↑
Conquered Togo.
Other category comparisons 3 other winning choices
All eight categories for Liberia against Togo
Category
Liberia
Togo
Result
Areakm² · Higher wins ↑
111,369
56,785
Would win
Populationpeople · Higher wins ↑
5,493,031
8,223,850
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
3,572
Would lose
Densityper km² · Higher wins ↑
49.3
144.8
Would lose
Highest peakm · Higher wins ↑
1,447
986
Would win
Coastlinekm · Higher wins ↑ · Chosen
579
56
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
8.9° N
Would win
83
Round 83Won91 countries · 2 lives left
KenyavsSomalia
Wealth per person: 6,322 vs 1,557 int’l $ · Higher wins ↑
Conquered Somalia.
Other category comparisons 5 other winning choices
All eight categories for Kenya against Somalia
Category
Kenya
Somalia
Result
Areakm² · Higher wins ↑
580,367
637,657
Would lose
Populationpeople · Higher wins ↑
55,339,003
18,358,615
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
6,322
1,557
Would win
Densityper km² · Higher wins ↑
95.4
28.8
Would win
Highest peakm · Higher wins ↑
5,199
2,460
Would win
Coastlinekm · Higher wins ↑
536
3,025
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
0.4° N
2.6° N
Would win
84
Round 84Won92 countries · 2 lives left
CameroonvsSlovakia
Proximity to equator: 4.5° N vs 48.7° N from the equator · Closer wins ↓
Conquered Slovakia.
Other category comparisons 4 other winning choices
All eight categories for Cameroon against Slovakia
Category
Cameroon
Slovakia
Result
Areakm² · Higher wins ↑
475,440
49,035
Would win
Populationpeople · Higher wins ↑
28,372,687
5,426,740
Would win
Wealth per personint’l $ · Higher wins ↑
5,415
45,865
Would lose
Densityper km² · Higher wins ↑
59.7
110.7
Would lose
Highest peakm · Higher wins ↑
4,045
2,655
Would win
Coastlinekm · Higher wins ↑
402
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.5° N
48.7° N
Would win
85
Round 85Won93 countries · 2 lives left
NamibiavsBosnia and Herzegovina
Area: 824,292 vs 51,197 km² · Higher wins ↑
Conquered Bosnia and Herzegovina.
Other category comparisons 4 other winning choices
All eight categories for Namibia against Bosnia and Herzegovina
Category
Namibia
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑ · Chosen
824,292
51,197
Would win
Populationpeople · Higher wins ↑
2,963,095
3,185,073
Would lose
Wealth per personint’l $ · Higher wins ↑
11,248
23,376
Would lose
Densityper km² · Higher wins ↑
3.6
62.2
Would lose
Highest peakm · Higher wins ↑
2,573
2,386
Would win
Coastlinekm · Higher wins ↑
1,572
20
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
20.6° S
44.1° N
Would win
86
Round 86Won94 countries · 2 lives left
EcuadorvsLaos
Coastline: 2,237 vs 0 km · Higher wins ↑
Conquered Laos.
Other category comparisons 7 other winning choices
All eight categories for Ecuador against Laos
Category
Ecuador
Laos
Result
Areakm² · Higher wins ↑
283,561
236,800
Would win
Populationpeople · Higher wins ↑
17,980,083
7,664,993
Would win
Wealth per personint’l $ · Higher wins ↑
15,907
9,299
Would win
Densityper km² · Higher wins ↑
63.4
32.4
Would win
Highest peakm · Higher wins ↑
6,267
2,817
Would win
Coastlinekm · Higher wins ↑ · Chosen
2,237
0
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
1.2° S
19.6° N
Would win
87
Round 87Won95 countries · 2 lives left
EgyptvsJamaica
Population: 114,535,772 vs 2,839,786 people · Higher wins ↑
Conquered Jamaica.
Other category comparisons 5 other winning choices
All eight categories for Egypt against Jamaica
Category
Egypt
Jamaica
Result
Areakm² · Higher wins ↑
1,001,450
10,991
Would win
Populationpeople · Higher wins ↑ · Chosen
114,535,772
2,839,786
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
12,661
Would win
Densityper km² · Higher wins ↑
114.4
258.4
Would lose
Highest peakm · Higher wins ↑
2,629
2,256
Would win
Coastlinekm · Higher wins ↑
2,450
1,022
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
18.1° N
Would lose
88
Round 88Won96 countries · 2 lives left
NigeriavsYemen
Population: 227,882,945 vs 39,390,799 people · Higher wins ↑
Conquered Yemen.
Other category comparisons 3 other winning choices
All eight categories for Nigeria against Yemen
Category
Nigeria
Yemen
Result
Areakm² · Higher wins ↑
923,768
527,968
Would win
Populationpeople · Higher wins ↑ · Chosen
227,882,945
39,390,799
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
8,712
Unavailable
Unavailable
Densityper km² · Higher wins ↑
246.7
74.6
Would win
Highest peakm · Higher wins ↑
2,419
3,666
Would lose
Coastlinekm · Higher wins ↑
853
1,906
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
15.3° N
Would win
89
Round 89Won97 countries · 2 lives left
FijivsPortugal
Proximity to equator: 17.8° S vs 40.7° N from the equator · Closer wins ↓
Conquered Portugal.
Other category comparisons 1 other winning choice
All eight categories for Fiji against Portugal
Category
Fiji
Portugal
Result
Areakm² · Higher wins ↑
18,274
92,090
Would lose
Populationpeople · Higher wins ↑
924,145
10,578,174
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
49,800
Would lose
Densityper km² · Higher wins ↑
50.6
114.9
Would lose
Highest peakm · Higher wins ↑
1,324
2,351
Would lose
Coastlinekm · Higher wins ↑
1,129
1,793
Would lose
Flag colourscolours · Higher wins ↑
8
6
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
17.8° S
40.7° N
Would win
90
Round 90Won98 countries · 2 lives left
GambiavsCabo Verde
Population: 2,697,845 vs 522,331 people · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 3 other winning choices
All eight categories for Gambia against Cabo Verde
Category
Gambia
Cabo Verde
Result
Areakm² · Higher wins ↑
11,300
4,033
Would win
Populationpeople · Higher wins ↑ · Chosen
2,697,845
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
3,292
10,251
Would lose
Densityper km² · Higher wins ↑
238.7
129.5
Would win
Highest peakm · Higher wins ↑
63
2,829
Would lose
Coastlinekm · Higher wins ↑
80
965
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
13.6° N
15.0° N
Would win
91
Round 91Won99 countries · 2 lives left
OmanvsAngola
Wealth per person: 41,980 vs 9,550 int’l $ · Higher wins ↑
Conquered Angola.
Other category comparisons 2 other winning choices
All eight categories for Oman against Angola
Category
Oman
Angola
Result
Areakm² · Higher wins ↑
309,500
1,246,700
Would lose
Populationpeople · Higher wins ↑
5,049,269
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
41,980
9,550
Would win
Densityper km² · Higher wins ↑
16.3
29.5
Would lose
Highest peakm · Higher wins ↑
3,004
2,620
Would win
Coastlinekm · Higher wins ↑
2,092
1,600
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
13.2° S
Would lose
92
Round 92Won100 countries · 2 lives left
CanadavsUganda
Coastline: 202,080 vs 0 km · Higher wins ↑
Conquered Uganda.
Other category comparisons 3 other winning choices
All eight categories for Canada against Uganda
Category
Canada
Uganda
Result
Areakm² · Higher wins ↑
9,984,670
241,038
Would win
Populationpeople · Higher wins ↑
40,049,088
48,656,601
Would lose
Wealth per personint’l $ · Higher wins ↑
64,962
3,100
Would win
Densityper km² · Higher wins ↑
4.0
201.9
Would lose
Highest peakm · Higher wins ↑
5,959
5,110
Would win
Coastlinekm · Higher wins ↑ · Chosen
202,080
0
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
2.0° N
Would lose
93
Round 93Won101 countries · 2 lives left
Republic of the CongovsNiger
Coastline: 169 vs 0 km · Higher wins ↑
Conquered Niger.
Other category comparisons 2 other winning choices
All eight categories for Republic of the Congo against Niger
Category
Republic of the Congo
Niger
Result
Areakm² · Higher wins ↑
342,000
1,267,000
Would lose
Populationpeople · Higher wins ↑
6,182,885
26,159,867
Would lose
Wealth per personint’l $ · Higher wins ↑
6,856
1,903
Would win
Densityper km² · Higher wins ↑
18.1
20.6
Would lose
Highest peakm · Higher wins ↑
1,020
2,022
Would lose
Coastlinekm · Higher wins ↑ · Chosen
169
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
0.1° N
17.6° N
Would win
94
Round 94Won102 countries · 2 lives left
South KoreavsItaly
Density: 518.6 vs 195.7 per km² · Higher wins ↑
Conquered Italy.
Other category comparisons 2 other winning choices
All eight categories for South Korea against Italy
Category
South Korea
Italy
Result
Areakm² · Higher wins ↑
99,720
301,340
Would lose
Populationpeople · Higher wins ↑
51,712,619
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
57,430
60,350
Would lose
Densityper km² · Higher wins ↑ · Chosen
518.6
195.7
Would win
Highest peakm · Higher wins ↑
1,950
4,748
Would lose
Coastlinekm · Higher wins ↑
2,413
7,600
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
45.1° N
Would win
95
Round 95Won103 countries · 2 lives left
UruguayvsGhana
Wealth per person: 34,546 vs 7,563 int’l $ · Higher wins ↑
Conquered Ghana.
Other category comparisons 1 other winning choice
All eight categories for Uruguay against Ghana
Category
Uruguay
Ghana
Result
Areakm² · Higher wins ↑
176,215
238,533
Would lose
Populationpeople · Higher wins ↑
3,388,081
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
34,546
7,563
Would win
Densityper km² · Higher wins ↑
19.2
141.6
Would lose
Highest peakm · Higher wins ↑
514
885
Would lose
Coastlinekm · Higher wins ↑
660
539
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.9° S
7.0° N
Would lose
96
Round 96Won104 countries · 2 lives left
BelgiumvsBhutan
Wealth per person: 72,630 vs 16,229 int’l $ · Higher wins ↑
Conquered Bhutan.
Other category comparisons 3 other winning choices
All eight categories for Belgium against Bhutan
Category
Belgium
Bhutan
Result
Areakm² · Higher wins ↑
30,528
38,394
Would lose
Populationpeople · Higher wins ↑
11,779,946
786,385
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,630
16,229
Would win
Densityper km² · Higher wins ↑
385.9
20.5
Would win
Highest peakm · Higher wins ↑
694
7,570
Would lose
Coastlinekm · Higher wins ↑
66.5
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
50.8° N
27.5° N
Would lose
97
Round 97Won105 countries · 2 lives left
Equatorial GuineavsBelarus
Proximity to equator: 1.6° N vs 53.8° N from the equator · Closer wins ↓
Conquered Belarus.
Other category comparisons 4 other winning choices
All eight categories for Equatorial Guinea against Belarus
Category
Equatorial Guinea
Belarus
Result
Areakm² · Higher wins ↑
28,051
207,600
Would lose
Populationpeople · Higher wins ↑
1,847,549
9,178,298
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
30,860
Would lose
Densityper km² · Higher wins ↑
65.9
44.2
Would win
Highest peakm · Higher wins ↑
3,008
346
Would win
Coastlinekm · Higher wins ↑
296
0
Would win
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
53.8° N
Would win
98
Round 98Won106 countries · 2 lives left
MozambiquevsCyprus
Proximity to equator: 14.0° S vs 34.9° N from the equator · Closer wins ↓
Conquered Cyprus.
Other category comparisons 5 other winning choices
All eight categories for Mozambique against Cyprus
Category
Mozambique
Cyprus
Result
Areakm² · Higher wins ↑
799,380
9,251
Would win
Populationpeople · Higher wins ↑
33,635,160
1,344,976
Would win
Wealth per personint’l $ · Higher wins ↑
1,680
59,875
Would lose
Densityper km² · Higher wins ↑
42.1
145.4
Would lose
Highest peakm · Higher wins ↑
2,436
1,951
Would win
Coastlinekm · Higher wins ↑
2,470
648
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.0° S
34.9° N
Would win
99
Round 99Won107 countries · 2 lives left
Solomon IslandsvsPoland
Proximity to equator: 9.6° S vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 2 other winning choices
All eight categories for Solomon Islands against Poland
Category
Solomon Islands
Poland
Result
Areakm² · Higher wins ↑
28,896
312,685
Would lose
Populationpeople · Higher wins ↑
800,005
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
2,599
48,473
Would lose
Densityper km² · Higher wins ↑
27.7
117.3
Would lose
Highest peakm · Higher wins ↑
2,335
2,499
Would lose
Coastlinekm · Higher wins ↑
5,313
440
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
9.6° S
51.9° N
Would win
100
Round 100Won108 countries · 2 lives left
DR CongovsArgentina
Proximity to equator: 1.9° S vs 31.4° S from the equator · Closer wins ↓
Conquered Argentina.
Other category comparisons 2 other winning choices
All eight categories for DR Congo against Argentina
Category
DR Congo
Argentina
Result
Areakm² · Higher wins ↑
2,344,858
2,780,400
Would lose
Populationpeople · Higher wins ↑
105,789,731
45,538,401
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
30,246
Would lose
Densityper km² · Higher wins ↑
45.1
16.4
Would win
Highest peakm · Higher wins ↑
5,110
6,962
Would lose
Coastlinekm · Higher wins ↑
37
4,989
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Mexicovs
Gabon
Liberia
Togo
Kenya
Somalia
Cameroon
Slovakia
Namibia
Bosnia and Herzegovina
Ecuador
Laos
Egypt
Jamaica
Nigeria
Yemen
Fiji
Portugal
Gambia
Cabo Verde
Oman
Angola
Canada
Uganda
Republic of the Congo
Niger
South Korea
Italy
Uruguay
Ghana
Belgium
Bhutan
Equatorial Guinea
Belarus
Mozambique
Cyprus
Solomon Islands
Poland
DR Congo
Argentina