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 21Lost31 countries · 3 lives left
MauritiusvsHaiti
Flag colours: 4 vs 7 colours · Higher wins ↑
Returned to the world: Mauritius.
Other category comparisons 2 other winning choices
All eight categories for Mauritius against Haiti
Category
Mauritius
Haiti
Result
Areakm² · Higher wins ↑
2,040
27,750
Would lose
Populationpeople · Higher wins ↑
1,248,647
11,637,398
Would lose
Wealth per personint’l $ · Higher wins ↑
29,403
3,265
Would win
Densityper km² · Higher wins ↑
612.1
419.4
Would win
Highest peakm · Higher wins ↑
828
2,674
Would lose
Coastlinekm · Higher wins ↑
177
1,771
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
20.3° S
19.2° N
Would lose
22
Round 22Won32 countries · 3 lives left
BahrainvsLatvia
Wealth per person: 64,224 vs 42,784 int’l $ · Higher wins ↑
Conquered Latvia.
Other category comparisons 2 other winning choices
All eight categories for Bahrain against Latvia
Category
Bahrain
Latvia
Result
Areakm² · Higher wins ↑
760
64,589
Would lose
Populationpeople · Higher wins ↑
1,577,059
1,883,710
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
64,224
42,784
Would win
Densityper km² · Higher wins ↑
2,075.1
29.2
Would win
Highest peakm · Higher wins ↑
135
312
Would lose
Coastlinekm · Higher wins ↑
161
498
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.0° N
56.6° N
Would win
23
Round 23Won33 countries · 3 lives left
CroatiavsSolomon Islands
Area: 56,594 vs 28,896 km² · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 5 other winning choices
All eight categories for Croatia against Solomon Islands
Category
Croatia
Solomon Islands
Result
Areakm² · Higher wins ↑ · Chosen
56,594
28,896
Would win
Populationpeople · Higher wins ↑
3,859,686
800,005
Would win
Wealth per personint’l $ · Higher wins ↑
47,760
2,599
Would win
Densityper km² · Higher wins ↑
68.2
27.7
Would win
Highest peakm · Higher wins ↑
1,831
2,335
Would lose
Coastlinekm · Higher wins ↑
5,835
5,313
Would win
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
9.6° S
Would lose
24
Round 24Won34 countries · 3 lives left
BangladeshvsMoldova
Population: 171,466,990 vs 2,457,783 people · Higher wins ↑
Conquered Moldova.
Other category comparisons 5 other winning choices
All eight categories for Bangladesh against Moldova
Category
Bangladesh
Moldova
Result
Areakm² · Higher wins ↑
148,460
33,851
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
17,751
Would lose
Densityper km² · Higher wins ↑
1,155.0
72.6
Would win
Highest peakm · Higher wins ↑
1,060
430
Would win
Coastlinekm · Higher wins ↑
580
0
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
47.5° N
Would win
25
Round 25Won35 countries · 3 lives left
SurinamevsSaudi Arabia
Proximity to equator: 4.1° N vs 23.5° N from the equator · Closer wins ↓
Conquered Saudi Arabia.
Other category comparisons 1 other winning choice
All eight categories for Suriname against Saudi Arabia
Category
Suriname
Saudi Arabia
Result
Areakm² · Higher wins ↑
163,820
2,149,690
Would lose
Populationpeople · Higher wins ↑
628,886
33,702,731
Would lose
Wealth per personint’l $ · Higher wins ↑
21,128
71,624
Would lose
Densityper km² · Higher wins ↑
3.8
15.7
Would lose
Highest peakm · Higher wins ↑
1,230
3,000
Would lose
Coastlinekm · Higher wins ↑
386
2,640
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.1° N
23.5° N
Would win
26
Round 26Won36 countries · 3 lives left
EcuadorvsQatar
Flag colours: 11 vs 2 colours · Higher wins ↑
Conquered Qatar.
Other category comparisons 5 other winning choices
All eight categories for Ecuador against Qatar
Category
Ecuador
Qatar
Result
Areakm² · Higher wins ↑
283,561
11,586
Would win
Populationpeople · Higher wins ↑
17,980,083
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑
15,907
129,025
Would lose
Densityper km² · Higher wins ↑
63.4
229.2
Would lose
Highest peakm · Higher wins ↑
6,267
103
Would win
Coastlinekm · Higher wins ↑
2,237
563
Would win
Flag colourscolours · Higher wins ↑ · Chosen
11
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
1.2° S
25.1° N
Would win
27
Round 27Won37 countries · 3 lives left
PolandvsLaos
Wealth per person: 48,473 vs 9,299 int’l $ · Higher wins ↑
Conquered Laos.
Other category comparisons 4 other winning choices
All eight categories for Poland against Laos
Category
Poland
Laos
Result
Areakm² · Higher wins ↑
312,685
236,800
Would win
Populationpeople · Higher wins ↑
36,687,353
7,664,993
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,473
9,299
Would win
Densityper km² · Higher wins ↑
117.3
32.4
Would win
Highest peakm · Higher wins ↑
2,499
2,817
Would lose
Coastlinekm · Higher wins ↑
440
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
19.6° N
Would lose
28
Round 28Won38 countries · 3 lives left
CambodiavsBhutan
Area: 181,035 vs 38,394 km² · Higher wins ↑
Conquered Bhutan.
Other category comparisons 4 other winning choices
All eight categories for Cambodia against Bhutan
Category
Cambodia
Bhutan
Result
Areakm² · Higher wins ↑ · Chosen
181,035
38,394
Would win
Populationpeople · Higher wins ↑
17,423,880
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
7,437
16,229
Would lose
Densityper km² · Higher wins ↑
96.2
20.5
Would win
Highest peakm · Higher wins ↑
1,810
7,570
Would lose
Coastlinekm · Higher wins ↑
443
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
27.5° N
Would win
29
Round 29Won39 countries · 3 lives left
BurundivsAndorra
Proximity to equator: 3.4° S vs 42.5° N from the equator · Closer wins ↓
Conquered Andorra.
Other category comparisons 3 other winning choices
All eight categories for Burundi against Andorra
Category
Burundi
Andorra
Result
Areakm² · Higher wins ↑
27,830
468
Would win
Populationpeople · Higher wins ↑
13,689,450
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
71,790
Would lose
Densityper km² · Higher wins ↑
491.9
172.8
Would win
Highest peakm · Higher wins ↑
2,685
2,946
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.4° S
42.5° N
Would win
30
Round 30Won40 countries · 3 lives left
UgandavsSlovenia
Proximity to equator: 2.0° N vs 46.0° N from the equator · Closer wins ↓
Conquered Slovenia.
Other category comparisons 5 other winning choices
All eight categories for Uganda against Slovenia
Category
Uganda
Slovenia
Result
Areakm² · Higher wins ↑
241,038
20,273
Would win
Populationpeople · Higher wins ↑
48,656,601
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
3,100
56,151
Would lose
Densityper km² · Higher wins ↑
201.9
104.6
Would win
Highest peakm · Higher wins ↑
5,110
2,864
Would win
Coastlinekm · Higher wins ↑
0
46.6
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
2.0° N
46.0° N
Would win
31
Round 31Won41 countries · 3 lives left
DR CongovsSouth Korea
Area: 2,344,858 vs 99,720 km² · Higher wins ↑
Conquered South Korea.
Other category comparisons 3 other winning choices
All eight categories for DR Congo against South Korea
Category
DR Congo
South Korea
Result
Areakm² · Higher wins ↑ · Chosen
2,344,858
99,720
Would win
Populationpeople · Higher wins ↑
105,789,731
51,712,619
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
57,430
Would lose
Densityper km² · Higher wins ↑
45.1
518.6
Would lose
Highest peakm · Higher wins ↑
5,110
1,950
Would win
Coastlinekm · Higher wins ↑
37
2,413
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
36.3° N
Would win
32
Round 32Won42 countries · 3 lives left
PhilippinesvsUruguay
Population: 114,891,199 vs 3,388,081 people · Higher wins ↑
Conquered Uruguay.
Other category comparisons 5 other winning choices
All eight categories for Philippines against Uruguay
Category
Philippines
Uruguay
Result
Areakm² · Higher wins ↑
300,000
176,215
Would win
Populationpeople · Higher wins ↑ · Chosen
114,891,199
3,388,081
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
34,546
Would lose
Densityper km² · Higher wins ↑
383.0
19.2
Would win
Highest peakm · Higher wins ↑
2,954
514
Would win
Coastlinekm · Higher wins ↑
36,289
660
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
32.9° S
Would win
33
Round 33Lost41 countries · 2 lives left
JamaicavsEl Salvador
Density: 258.4 vs 299.9 per km² · Higher wins ↑
Returned to the world: Jamaica.
Other category comparisons 1 other winning choice
All eight categories for Jamaica against El Salvador
Category
Jamaica
El Salvador
Result
Areakm² · Higher wins ↑
10,991
21,041
Would lose
Populationpeople · Higher wins ↑
2,839,786
6,309,624
Would lose
Wealth per personint’l $ · Higher wins ↑
12,661
12,667
Would lose
Densityper km² · Higher wins ↑ · Chosen
258.4
299.9
Would lose
Highest peakm · Higher wins ↑
2,256
2,730
Would lose
Coastlinekm · Higher wins ↑
1,022
307
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Mauritiusvs
Haiti
Bahrain
Latvia
Croatia
Solomon Islands
Bangladesh
Moldova
Suriname
Saudi Arabia
Ecuador
Qatar
Poland
Laos
Cambodia
Bhutan
Burundi
Andorra
Uganda
Slovenia
DR Congo
South Korea
Philippines
Uruguay
Jamaica
El Salvador