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
CyprusvsCabo Verde
Wealth per person: 59,875 vs 10,251 int’l $ · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 3 other winning choices
All eight categories for Cyprus against Cabo Verde
Category
Cyprus
Cabo Verde
Result
Areakm² · Higher wins ↑
9,251
4,033
Would win
Populationpeople · Higher wins ↑
1,344,976
522,331
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
59,875
10,251
Would win
Densityper km² · Higher wins ↑
145.4
129.5
Would win
Highest peakm · Higher wins ↑
1,951
2,829
Would lose
Coastlinekm · Higher wins ↑
648
965
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
15.0° N
Would lose
2
Round 2Won14 countries · 4 lives left
SomaliavsGuinea-Bissau
Area: 637,657 vs 36,125 km² · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 4 other winning choices
All eight categories for Somalia against Guinea-Bissau
Category
Somalia
Guinea-Bissau
Result
Areakm² · Higher wins ↑ · Chosen
637,657
36,125
Would win
Populationpeople · Higher wins ↑
18,358,615
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
1,557
2,956
Would lose
Densityper km² · Higher wins ↑
28.8
59.6
Would lose
Highest peakm · Higher wins ↑
2,460
277
Would win
Coastlinekm · Higher wins ↑
3,025
350
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
12.1° N
Would win
3
Round 3Won15 countries · 4 lives left
MalaysiavsUzbekistan
Proximity to equator: 4.4° N vs 41.5° N from the equator · Closer wins ↓
Conquered Uzbekistan.
Other category comparisons 3 other winning choices
All eight categories for Malaysia against Uzbekistan
Category
Malaysia
Uzbekistan
Result
Areakm² · Higher wins ↑
329,847
447,400
Would lose
Populationpeople · Higher wins ↑
35,126,298
35,652,307
Would lose
Wealth per personint’l $ · Higher wins ↑
36,497
11,679
Would win
Densityper km² · Higher wins ↑
106.5
79.7
Would win
Highest peakm · Higher wins ↑
4,095
4,643
Would lose
Coastlinekm · Higher wins ↑
4,675
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.4° N
41.5° N
Would win
4
Round 4Won16 countries · 4 lives left
PhilippinesvsGreece
Population: 114,891,199 vs 10,407,351 people · Higher wins ↑
Conquered Greece.
Other category comparisons 6 other winning choices
All eight categories for Philippines against Greece
Category
Philippines
Greece
Result
Areakm² · Higher wins ↑
300,000
131,957
Would win
Populationpeople · Higher wins ↑ · Chosen
114,891,199
10,407,351
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
42,614
Would lose
Densityper km² · Higher wins ↑
383.0
78.9
Would win
Highest peakm · Higher wins ↑
2,954
2,917
Would win
Coastlinekm · Higher wins ↑
36,289
13,676
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
39.8° N
Would win
5
Round 5Lost15 countries · 3 lives left
BelizevsGabon
Wealth per person: 13,741 vs 20,773 int’l $ · Higher wins ↑
Returned to the world: Belize.
Other category comparisons 3 other winning choices
All eight categories for Belize against Gabon
Category
Belize
Gabon
Result
Areakm² · Higher wins ↑
22,966
267,667
Would lose
Populationpeople · Higher wins ↑
411,106
2,484,789
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
13,741
20,773
Would lose
Densityper km² · Higher wins ↑
17.9
9.3
Would win
Highest peakm · Higher wins ↑
1,124
1,050
Would win
Coastlinekm · Higher wins ↑
386
885
Would lose
Flag colourscolours · Higher wins ↑
12
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
0.6° S
Would lose
6
Round 6Won16 countries · 3 lives left
FrancevsDR Congo
Wealth per person: 60,927 vs 1,732 int’l $ · Higher wins ↑
Conquered DR Congo.
Other category comparisons 2 other winning choices
All eight categories for France against DR Congo
Category
France
DR Congo
Result
Areakm² · Higher wins ↑
551,500
2,344,858
Would lose
Populationpeople · Higher wins ↑
65,925,961
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,927
1,732
Would win
Densityper km² · Higher wins ↑
119.5
45.1
Would win
Highest peakm · Higher wins ↑
4,810
5,110
Would lose
Coastlinekm · Higher wins ↑
3,427
37
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
1.9° S
Would lose
7
Round 7Won17 countries · 3 lives left
NetherlandsvsVenezuela
Density: 430.3 vs 31.0 per km² · Higher wins ↑
Conquered Venezuela.
Other category comparisons 0 other winning choices
All eight categories for Netherlands against Venezuela
Category
Netherlands
Venezuela
Result
Areakm² · Higher wins ↑
41,543
912,050
Would lose
Populationpeople · Higher wins ↑
17,877,117
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
80,392
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
430.3
31.0
Would win
Highest peakm · Higher wins ↑
322
4,978
Would lose
Coastlinekm · Higher wins ↑
451
2,800
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.2° N
7.2° N
Would lose
8
Round 8Won18 countries · 3 lives left
ZimbabwevsLuxembourg
Area: 390,757 vs 2,586 km² · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 4 other winning choices
All eight categories for Zimbabwe against Luxembourg
Category
Zimbabwe
Luxembourg
Result
Areakm² · Higher wins ↑ · Chosen
390,757
2,586
Would win
Populationpeople · Higher wins ↑
16,340,822
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
5,796
152,596
Would lose
Densityper km² · Higher wins ↑
41.8
257.7
Would lose
Highest peakm · Higher wins ↑
2,592
559
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
49.7° N
Would win
9
Round 9Won19 countries · 3 lives left
TajikistanvsMadagascar
Highest peak: 7,495 vs 2,876 m · Higher wins ↑
Conquered Madagascar.
Other category comparisons 3 other winning choices
All eight categories for Tajikistan against Madagascar
Category
Tajikistan
Madagascar
Result
Areakm² · Higher wins ↑
144,100
587,041
Would lose
Populationpeople · Higher wins ↑
10,389,799
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑
4,968
1,810
Would win
Densityper km² · Higher wins ↑
72.1
53.1
Would win
Highest peakm · Higher wins ↑ · Chosen
7,495
2,876
Would win
Coastlinekm · Higher wins ↑
0
4,828
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
18.4° S
Would lose
10
Round 10Won20 countries · 3 lives left
PakistanvsEl Salvador
Population: 247,504,495 vs 6,309,624 people · Higher wins ↑
Conquered El Salvador.
Other category comparisons 4 other winning choices
All eight categories for Pakistan against El Salvador
Category
Pakistan
El Salvador
Result
Areakm² · Higher wins ↑
796,095
21,041
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
6,309,624
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
12,667
Would lose
Densityper km² · Higher wins ↑
310.9
299.9
Would win
Highest peakm · Higher wins ↑
8,611
2,730
Would win
Coastlinekm · Higher wins ↑
1,046
307
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
13.9° N
Would lose
11
Round 11Won21 countries · 3 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
12
Round 12Won22 countries · 3 lives left
GhanavsJordan
Proximity to equator: 7.0° N vs 30.7° N from the equator · Closer wins ↓
Conquered Jordan.
Other category comparisons 4 other winning choices
All eight categories for Ghana against Jordan
Category
Ghana
Jordan
Result
Areakm² · Higher wins ↑
238,533
89,342
Would win
Populationpeople · Higher wins ↑
33,787,914
11,439,213
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
11,451
Would lose
Densityper km² · Higher wins ↑
141.6
128.0
Would win
Highest peakm · Higher wins ↑
885
1,854
Would lose
Coastlinekm · Higher wins ↑
539
26
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
30.7° N
Would win
13
Round 13Won23 countries · 3 lives left
CyprusvsBulgaria
Wealth per person: 59,875 vs 38,829 int’l $ · Higher wins ↑
Conquered Bulgaria.
Other category comparisons 3 other winning choices
All eight categories for Cyprus against Bulgaria
Category
Cyprus
Bulgaria
Result
Areakm² · Higher wins ↑
9,251
110,879
Would lose
Populationpeople · Higher wins ↑
1,344,976
6,446,596
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
59,875
38,829
Would win
Densityper km² · Higher wins ↑
145.4
58.1
Would win
Highest peakm · Higher wins ↑
1,951
2,925
Would lose
Coastlinekm · Higher wins ↑
648
354
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
42.5° N
Would win
14
Round 14Won24 countries · 3 lives left
Cabo VerdevsKyrgyzstan
Proximity to equator: 15.0° N vs 41.7° N from the equator · Closer wins ↓
Conquered Kyrgyzstan.
Other category comparisons 4 other winning choices
All eight categories for Cabo Verde against Kyrgyzstan
Category
Cabo Verde
Kyrgyzstan
Result
Areakm² · Higher wins ↑
4,033
199,951
Would lose
Populationpeople · Higher wins ↑
522,331
7,099,750
Would lose
Wealth per personint’l $ · Higher wins ↑
10,251
7,304
Would win
Densityper km² · Higher wins ↑
129.5
35.5
Would win
Highest peakm · Higher wins ↑
2,829
7,439
Would lose
Coastlinekm · Higher wins ↑
965
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.0° N
41.7° N
Would win
15
Round 15Won25 countries · 3 lives left
SomaliavsNepal
Coastline: 3,025 vs 0 km · Higher wins ↑
Conquered Nepal.
Other category comparisons 2 other winning choices
All eight categories for Somalia against Nepal
Category
Somalia
Nepal
Result
Areakm² · Higher wins ↑
637,657
147,181
Would win
Populationpeople · Higher wins ↑
18,358,615
29,694,614
Would lose
Wealth per personint’l $ · Higher wins ↑
1,557
5,400
Would lose
Densityper km² · Higher wins ↑
28.8
201.8
Would lose
Highest peakm · Higher wins ↑
2,460
8,849
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,025
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
29.0° N
Would win
16
Round 16Won26 countries · 3 lives left
Guinea-BissauvsGermany
Proximity to equator: 12.1° N vs 51.0° N from the equator · Closer wins ↓
Conquered Germany.
Other category comparisons 1 other winning choice
All eight categories for Guinea-Bissau against Germany
Category
Guinea-Bissau
Germany
Result
Areakm² · Higher wins ↑
36,125
357,022
Would lose
Populationpeople · Higher wins ↑
2,153,339
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
72,262
Would lose
Densityper km² · Higher wins ↑
59.6
233.3
Would lose
Highest peakm · Higher wins ↑
277
2,963
Would lose
Coastlinekm · Higher wins ↑
350
2,389
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
51.0° N
Would win
17
Round 17Won27 countries · 3 lives left
MalaysiavsQatar
Area: 329,847 vs 11,586 km² · Higher wins ↑
Conquered Qatar.
Other category comparisons 5 other winning choices
All eight categories for Malaysia against Qatar
Category
Malaysia
Qatar
Result
Areakm² · Higher wins ↑ · Chosen
329,847
11,586
Would win
Populationpeople · Higher wins ↑
35,126,298
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
129,025
Would lose
Densityper km² · Higher wins ↑
106.5
229.2
Would lose
Highest peakm · Higher wins ↑
4,095
103
Would win
Coastlinekm · Higher wins ↑
4,675
563
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
25.1° N
Would win
18
Round 18Lost26 countries · 2 lives left
UzbekistanvsKenya
Highest peak: 4,643 vs 5,199 m · Higher wins ↑
Returned to the world: Uzbekistan.
Other category comparisons 1 other winning choice
All eight categories for Uzbekistan against Kenya
Category
Uzbekistan
Kenya
Result
Areakm² · Higher wins ↑
447,400
580,367
Would lose
Populationpeople · Higher wins ↑
35,652,307
55,339,003
Would lose
Wealth per personint’l $ · Higher wins ↑
11,679
6,322
Would win
Densityper km² · Higher wins ↑
79.7
95.4
Would lose
Highest peakm · Higher wins ↑ · Chosen
4,643
5,199
Would lose
Coastlinekm · Higher wins ↑
0
536
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
0.4° N
Would lose
19
Round 19Won27 countries · 2 lives left
PhilippinesvsSingapore
Population: 114,891,199 vs 5,917,648 people · Higher wins ↑
Conquered Singapore.
Other category comparisons 4 other winning choices
All eight categories for Philippines against Singapore
Category
Philippines
Singapore
Result
Areakm² · Higher wins ↑
300,000
719
Would win
Populationpeople · Higher wins ↑ · Chosen
114,891,199
5,917,648
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
144,728
Would lose
Densityper km² · Higher wins ↑
383.0
8,230.4
Would lose
Highest peakm · Higher wins ↑
2,954
166
Would win
Coastlinekm · Higher wins ↑
36,289
193
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
1.4° N
Would lose
20
Round 20Won28 countries · 2 lives left
GreecevsNorth Korea
Coastline: 13,676 vs 2,495 km · Higher wins ↑
Conquered North Korea.
Other category comparisons 3 other winning choices
All eight categories for Greece against North Korea
Category
Greece
North Korea
Result
Areakm² · Higher wins ↑
131,957
120,538
Would win
Populationpeople · Higher wins ↑
10,407,351
26,418,204
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
42,614
Unavailable
Unavailable
Densityper km² · Higher wins ↑
78.9
219.2
Would lose
Highest peakm · Higher wins ↑
2,917
2,744
Would win
Coastlinekm · Higher wins ↑ · Chosen
13,676
2,495
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Cyprusvs
Cabo Verde
Somalia
Guinea-Bissau
Malaysia
Uzbekistan
Philippines
Greece
Belize
Gabon
France
DR Congo
Netherlands
Venezuela
Zimbabwe
Luxembourg
Tajikistan
Madagascar
Pakistan
El Salvador
Latvia
Mozambique
Ghana
Jordan
Bulgaria
Kyrgyzstan
Nepal
Germany
Qatar
Kenya
Singapore
North Korea