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
LuxembourgvsChile
Wealth per person: 152,596 vs 33,174 int’l $ · Higher wins ↑
Conquered Chile.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against Chile
Category
Luxembourg
Chile
Result
Areakm² · Higher wins ↑
2,586
756,102
Would lose
Populationpeople · Higher wins ↑
666,430
19,658,835
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
33,174
Would win
Densityper km² · Higher wins ↑
257.7
26.0
Would win
Highest peakm · Higher wins ↑
559
6,893
Would lose
Coastlinekm · Higher wins ↑
0
6,435
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
23.4° S
Would lose
22
Round 22Won34 countries · 4 lives left
VietnamvsJordan
Population: 100,352,192 vs 11,439,213 people · Higher wins ↑
Conquered Jordan.
Other category comparisons 6 other winning choices
All eight categories for Vietnam against Jordan
Category
Vietnam
Jordan
Result
Areakm² · Higher wins ↑
331,210
89,342
Would win
Populationpeople · Higher wins ↑ · Chosen
100,352,192
11,439,213
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
11,451
Would win
Densityper km² · Higher wins ↑
303.0
128.0
Would win
Highest peakm · Higher wins ↑
3,144
1,854
Would win
Coastlinekm · Higher wins ↑
3,444
26
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
30.7° N
Would win
23
Round 23Won35 countries · 4 lives left
Equatorial GuineavsColombia
Proximity to equator: 1.6° N vs 3.4° N from the equator · Closer wins ↓
Conquered Colombia.
Other category comparisons 2 other winning choices
All eight categories for Equatorial Guinea against Colombia
Category
Equatorial Guinea
Colombia
Result
Areakm² · Higher wins ↑
28,051
1,138,910
Would lose
Populationpeople · Higher wins ↑
1,847,549
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
21,282
Would lose
Densityper km² · Higher wins ↑
65.9
45.9
Would win
Highest peakm · Higher wins ↑
3,008
5,730
Would lose
Coastlinekm · Higher wins ↑
296
3,208
Would lose
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
3.4° N
Would win
24
Round 24Won36 countries · 4 lives left
RussiavsTanzania
Population: 143,826,130 vs 66,617,606 people · Higher wins ↑
Conquered Tanzania.
Other category comparisons 3 other winning choices
All eight categories for Russia against Tanzania
Category
Russia
Tanzania
Result
Areakm² · Higher wins ↑
17,098,242
947,300
Would win
Populationpeople · Higher wins ↑ · Chosen
143,826,130
66,617,606
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
4,022
Would win
Densityper km² · Higher wins ↑
8.4
70.3
Would lose
Highest peakm · Higher wins ↑
5,642
5,895
Would lose
Coastlinekm · Higher wins ↑
37,653
1,424
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
5.5° S
Would lose
25
Round 25Won37 countries · 4 lives left
YemenvsKyrgyzstan
Population: 39,390,799 vs 7,099,750 people · Higher wins ↑
Conquered Kyrgyzstan.
Other category comparisons 5 other winning choices
All eight categories for Yemen against Kyrgyzstan
Category
Yemen
Kyrgyzstan
Result
Areakm² · Higher wins ↑
527,968
199,951
Would win
Populationpeople · Higher wins ↑ · Chosen
39,390,799
7,099,750
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
7,304
Unavailable
Densityper km² · Higher wins ↑
74.6
35.5
Would win
Highest peakm · Higher wins ↑
3,666
7,439
Would lose
Coastlinekm · Higher wins ↑
1,906
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
41.7° N
Would win
26
Round 26Won38 countries · 4 lives left
MauritiusvsMongolia
Coastline: 177 vs 0 km · Higher wins ↑
Conquered Mongolia.
Other category comparisons 4 other winning choices
All eight categories for Mauritius against Mongolia
Category
Mauritius
Mongolia
Result
Areakm² · Higher wins ↑
2,040
1,564,116
Would lose
Populationpeople · Higher wins ↑
1,248,647
3,481,145
Would lose
Wealth per personint’l $ · Higher wins ↑
29,403
18,020
Would win
Densityper km² · Higher wins ↑
612.1
2.2
Would win
Highest peakm · Higher wins ↑
828
4,374
Would lose
Coastlinekm · Higher wins ↑ · Chosen
177
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
20.3° S
46.0° N
Would win
27
Round 27Won39 countries · 4 lives left
BahrainvsJamaica
Wealth per person: 64,224 vs 12,661 int’l $ · Higher wins ↑
Conquered Jamaica.
Other category comparisons 1 other winning choice
All eight categories for Bahrain against Jamaica
Category
Bahrain
Jamaica
Result
Areakm² · Higher wins ↑
760
10,991
Would lose
Populationpeople · Higher wins ↑
1,577,059
2,839,786
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
64,224
12,661
Would win
Densityper km² · Higher wins ↑
2,075.1
258.4
Would win
Highest peakm · Higher wins ↑
135
2,256
Would lose
Coastlinekm · Higher wins ↑
161
1,022
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.0° N
18.1° N
Would lose
28
Round 28Won40 countries · 4 lives left
ChinavsPortugal
Population: 1,410,710,000 vs 10,578,174 people · Higher wins ↑
Conquered Portugal.
Other category comparisons 5 other winning choices
All eight categories for China against Portugal
Category
China
Portugal
Result
Areakm² · Higher wins ↑
9,596,960
92,090
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
49,800
Would lose
Densityper km² · Higher wins ↑
147.0
114.9
Would win
Highest peakm · Higher wins ↑
8,849
2,351
Would win
Coastlinekm · Higher wins ↑
14,500
1,793
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
40.7° N
Would win
29
Round 29Won41 countries · 4 lives left
CzechiavsAlgeria
Wealth per person: 56,062 vs 16,838 int’l $ · Higher wins ↑
Conquered Algeria.
Other category comparisons 1 other winning choice
All eight categories for Czechia against Algeria
Category
Czechia
Algeria
Result
Areakm² · Higher wins ↑
78,867
2,381,740
Would lose
Populationpeople · Higher wins ↑
10,864,042
46,164,219
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
16,838
Would win
Densityper km² · Higher wins ↑
137.8
19.4
Would win
Highest peakm · Higher wins ↑
1,602
2,908
Would lose
Coastlinekm · Higher wins ↑
0
998
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
27.4° N
Would lose
30
Round 30Won42 countries · 4 lives left
MexicovsBosnia and Herzegovina
Population: 129,739,759 vs 3,185,073 people · Higher wins ↑
Conquered Bosnia and Herzegovina.
Other category comparisons 7 other winning choices
All eight categories for Mexico against Bosnia and Herzegovina
Category
Mexico
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑
1,964,375
51,197
Would win
Populationpeople · Higher wins ↑ · Chosen
129,739,759
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
23,376
Would win
Densityper km² · Higher wins ↑
66.0
62.2
Would win
Highest peakm · Higher wins ↑
5,636
2,386
Would win
Coastlinekm · Higher wins ↑
9,330
20
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
44.1° N
Would win
31
Round 31Won43 countries · 4 lives left
ZambiavsPakistan
Proximity to equator: 14.7° S vs 27.8° N from the equator · Closer wins ↓
Conquered Pakistan.
Other category comparisons 1 other winning choice
All eight categories for Zambia against Pakistan
Category
Zambia
Pakistan
Result
Areakm² · Higher wins ↑
752,618
796,095
Would lose
Populationpeople · Higher wins ↑
20,723,965
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑
4,080
6,019
Would lose
Densityper km² · Higher wins ↑
27.5
310.9
Would lose
Highest peakm · Higher wins ↑
2,330
8,611
Would lose
Coastlinekm · Higher wins ↑
0
1,046
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.7° S
27.8° N
Would win
32
Round 32Won44 countries · 4 lives left
BelarusvsBelgium
Area: 207,600 vs 30,528 km² · Higher wins ↑
Conquered Belgium.
Other category comparisons 0 other winning choices
All eight categories for Belarus against Belgium
Category
Belarus
Belgium
Result
Areakm² · Higher wins ↑ · Chosen
207,600
30,528
Would win
Populationpeople · Higher wins ↑
9,178,298
11,779,946
Would lose
Wealth per personint’l $ · Higher wins ↑
30,860
72,630
Would lose
Densityper km² · Higher wins ↑
44.2
385.9
Would lose
Highest peakm · Higher wins ↑
346
694
Would lose
Coastlinekm · Higher wins ↑
0
66.5
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
50.8° N
Would lose
33
Round 33Won45 countries · 4 lives left
TajikistanvsGabon
Highest peak: 7,495 vs 1,050 m · Higher wins ↑
Conquered Gabon.
Other category comparisons 3 other winning choices
All eight categories for Tajikistan against Gabon
Category
Tajikistan
Gabon
Result
Areakm² · Higher wins ↑
144,100
267,667
Would lose
Populationpeople · Higher wins ↑
10,389,799
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
4,968
20,773
Would lose
Densityper km² · Higher wins ↑
72.1
9.3
Would win
Highest peakm · Higher wins ↑ · Chosen
7,495
1,050
Would win
Coastlinekm · Higher wins ↑
0
885
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
0.6° S
Would lose
34
Round 34Won46 countries · 4 lives left
Republic of the CongovsLebanon
Area: 342,000 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 2 other winning choices
All eight categories for Republic of the Congo against Lebanon
Category
Republic of the Congo
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
342,000
10,400
Would win
Populationpeople · Higher wins ↑
6,182,885
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
6,856
12,585
Would lose
Densityper km² · Higher wins ↑
18.1
555.1
Would lose
Highest peakm · Higher wins ↑
1,020
3,088
Would lose
Coastlinekm · Higher wins ↑
169
225
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
0.1° N
34.2° N
Would win
35
Round 35Won47 countries · 4 lives left
LibyavsHonduras
Area: 1,759,540 vs 112,090 km² · Higher wins ↑
Conquered Honduras.
Other category comparisons 3 other winning choices
All eight categories for Libya against Honduras
Category
Libya
Honduras
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
112,090
Would win
Populationpeople · Higher wins ↑
7,305,659
10,644,851
Would lose
Wealth per personint’l $ · Higher wins ↑
13,858
7,184
Would win
Densityper km² · Higher wins ↑
4.2
95.0
Would lose
Highest peakm · Higher wins ↑
2,267
2,870
Would lose
Coastlinekm · Higher wins ↑
1,770
823
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
14.7° N
Would lose
36
Round 36Won48 countries · 4 lives left
NepalvsBulgaria
Highest peak: 8,849 vs 2,925 m · Higher wins ↑
Conquered Bulgaria.
Other category comparisons 4 other winning choices
All eight categories for Nepal against Bulgaria
Category
Nepal
Bulgaria
Result
Areakm² · Higher wins ↑
147,181
110,879
Would win
Populationpeople · Higher wins ↑
29,694,614
6,446,596
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
38,829
Would lose
Densityper km² · Higher wins ↑
201.8
58.1
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
2,925
Would win
Coastlinekm · Higher wins ↑
0
354
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
42.5° N
Would win
37
Round 37Won49 countries · 4 lives left
ZimbabwevsTürkiye
Flag colours: 6 vs 2 colours · Higher wins ↑
Conquered Türkiye.
Other category comparisons 1 other winning choice
All eight categories for Zimbabwe against Türkiye
Category
Zimbabwe
Türkiye
Result
Areakm² · Higher wins ↑
390,757
783,562
Would lose
Populationpeople · Higher wins ↑
16,340,822
85,325,965
Would lose
Wealth per personint’l $ · Higher wins ↑
5,796
43,196
Would lose
Densityper km² · Higher wins ↑
41.8
108.9
Would lose
Highest peakm · Higher wins ↑
2,592
5,137
Would lose
Coastlinekm · Higher wins ↑
0
7,200
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
39.1° N
Would win
38
Round 38Won50 countries · 4 lives left
IcelandvsPhilippines
Wealth per person: 82,257 vs 10,995 int’l $ · Higher wins ↑
Conquered Philippines.
Other category comparisons 0 other winning choices
All eight categories for Iceland against Philippines
Category
Iceland
Philippines
Result
Areakm² · Higher wins ↑
103,000
300,000
Would lose
Populationpeople · Higher wins ↑
385,663
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
10,995
Would win
Densityper km² · Higher wins ↑
3.7
383.0
Would lose
Highest peakm · Higher wins ↑
2,110
2,954
Would lose
Coastlinekm · Higher wins ↑
4,970
36,289
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
17.0° N
Would lose
39
Round 39Won51 countries · 4 lives left
South SudanvsAustria
Area: 644,329 vs 83,871 km² · Higher wins ↑
Conquered Austria.
Other category comparisons 3 other winning choices
All eight categories for South Sudan against Austria
Category
South Sudan
Austria
Result
Areakm² · Higher wins ↑ · Chosen
644,329
83,871
Would win
Populationpeople · Higher wins ↑
11,483,374
9,131,761
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
74,261
Unavailable
Densityper km² · Higher wins ↑
17.8
108.9
Would lose
Highest peakm · Higher wins ↑
3,187
3,798
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
47.7° N
Would win
40
Round 40Won52 countries · 4 lives left
ItalyvsGambia
Population: 58,984,216 vs 2,697,845 people · Higher wins ↑
Conquered Gambia.
Other category comparisons 4 other winning choices
All eight categories for Italy against Gambia
Category
Italy
Gambia
Result
Areakm² · Higher wins ↑
301,340
11,300
Would win
Populationpeople · Higher wins ↑ · Chosen
58,984,216
2,697,845
Would win
Wealth per personint’l $ · Higher wins ↑
60,350
3,292
Would win
Densityper km² · Higher wins ↑
195.7
238.7
Would lose
Highest peakm · Higher wins ↑
4,748
63
Would win
Coastlinekm · Higher wins ↑
7,600
80
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Luxembourgvs
Chile
Vietnam
Jordan
Equatorial Guinea
Colombia
Russia
Tanzania
Yemen
Kyrgyzstan
Mauritius
Mongolia
Bahrain
Jamaica
China
Portugal
Czechia
Algeria
Mexico
Bosnia and Herzegovina
Zambia
Pakistan
Belarus
Belgium
Tajikistan
Gabon
Republic of the Congo
Lebanon
Libya
Honduras
Nepal
Bulgaria
Zimbabwe
Türkiye
Iceland
Philippines
South Sudan
Austria
Italy
Gambia