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 21Won29 countries · 2 lives left
FrancevsNicaragua
Area: 551,500 vs 130,370 km² · Higher wins ↑
Conquered Nicaragua.
Other category comparisons 5 other winning choices
All eight categories for France against Nicaragua
Category
France
Nicaragua
Result
Areakm² · Higher wins ↑ · Chosen
551,500
130,370
Would win
Populationpeople · Higher wins ↑
65,925,961
6,823,613
Would win
Wealth per personint’l $ · Higher wins ↑
60,927
8,327
Would win
Densityper km² · Higher wins ↑
119.5
52.3
Would win
Highest peakm · Higher wins ↑
4,810
2,085
Would win
Coastlinekm · Higher wins ↑
3,427
910
Would win
Flag colourscolours · Higher wins ↑
3
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
12.6° N
Would lose
22
Round 22Won30 countries · 2 lives left
DR CongovsHaiti
Area: 2,344,858 vs 27,750 km² · Higher wins ↑
Conquered Haiti.
Other category comparisons 3 other winning choices
All eight categories for DR Congo against Haiti
Category
DR Congo
Haiti
Result
Areakm² · Higher wins ↑ · Chosen
2,344,858
27,750
Would win
Populationpeople · Higher wins ↑
105,789,731
11,637,398
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
3,265
Would lose
Densityper km² · Higher wins ↑
45.1
419.4
Would lose
Highest peakm · Higher wins ↑
5,110
2,674
Would win
Coastlinekm · Higher wins ↑
37
1,771
Would lose
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
19.2° N
Would win
23
Round 23Won31 countries · 2 lives left
NetherlandsvsSenegal
Density: 430.3 vs 91.9 per km² · Higher wins ↑
Conquered Senegal.
Other category comparisons 1 other winning choice
All eight categories for Netherlands against Senegal
Category
Netherlands
Senegal
Result
Areakm² · Higher wins ↑
41,543
196,722
Would lose
Populationpeople · Higher wins ↑
17,877,117
18,077,573
Would lose
Wealth per personint’l $ · Higher wins ↑
80,392
4,782
Would win
Densityper km² · Higher wins ↑ · Chosen
430.3
91.9
Would win
Highest peakm · Higher wins ↑
322
648
Would lose
Coastlinekm · Higher wins ↑
451
531
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
52.2° N
15.2° N
Would lose
24
Round 24Won32 countries · 2 lives left
VenezuelavsNew Zealand
Population: 28,300,854 vs 5,200,000 people · Higher wins ↑
Conquered New Zealand.
Other category comparisons 5 other winning choices
All eight categories for Venezuela against New Zealand
Category
Venezuela
New Zealand
Result
Areakm² · Higher wins ↑
912,050
268,838
Would win
Populationpeople · Higher wins ↑ · Chosen
28,300,854
5,200,000
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
54,950
Unavailable
Densityper km² · Higher wins ↑
31.0
19.3
Would win
Highest peakm · Higher wins ↑
4,978
3,724
Would win
Coastlinekm · Higher wins ↑
2,800
15,134
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.2° N
45.3° S
Would win
25
Round 25Won33 countries · 2 lives left
ZimbabwevsAndorra
Area: 390,757 vs 468 km² · Higher wins ↑
Conquered Andorra.
Other category comparisons 2 other winning choices
All eight categories for Zimbabwe against Andorra
Category
Zimbabwe
Andorra
Result
Areakm² · Higher wins ↑ · Chosen
390,757
468
Would win
Populationpeople · Higher wins ↑
16,340,822
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
5,796
71,790
Would lose
Densityper km² · Higher wins ↑
41.8
172.8
Would lose
Highest peakm · Higher wins ↑
2,592
2,946
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
42.5° N
Would win
26
Round 26Won34 countries · 2 lives left
LuxembourgvsNigeria
Wealth per person: 152,596 vs 8,712 int’l $ · Higher wins ↑
Conquered Nigeria.
Other category comparisons 2 other winning choices
All eight categories for Luxembourg against Nigeria
Category
Luxembourg
Nigeria
Result
Areakm² · Higher wins ↑
2,586
923,768
Would lose
Populationpeople · Higher wins ↑
666,430
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
8,712
Would win
Densityper km² · Higher wins ↑
257.7
246.7
Would win
Highest peakm · Higher wins ↑
559
2,419
Would lose
Coastlinekm · Higher wins ↑
0
853
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
9.4° N
Would lose
27
Round 27Won35 countries · 2 lives left
TajikistanvsEthiopia
Highest peak: 7,495 vs 4,550 m · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 1 other winning choice
All eight categories for Tajikistan against Ethiopia
Category
Tajikistan
Ethiopia
Result
Areakm² · Higher wins ↑
144,100
1,104,300
Would lose
Populationpeople · Higher wins ↑
10,389,799
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑
4,968
3,063
Would win
Densityper km² · Higher wins ↑
72.1
116.5
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,495
4,550
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
8.5° N
Would lose
28
Round 28Won36 countries · 2 lives left
MadagascarvsUnited Arab Emirates
Area: 587,041 vs 83,600 km² · Higher wins ↑
Conquered United Arab Emirates.
Other category comparisons 4 other winning choices
All eight categories for Madagascar against United Arab Emirates
Category
Madagascar
United Arab Emirates
Result
Areakm² · Higher wins ↑ · Chosen
587,041
83,600
Would win
Populationpeople · Higher wins ↑
31,195,932
10,483,751
Would win
Wealth per personint’l $ · Higher wins ↑
1,810
78,020
Would lose
Densityper km² · Higher wins ↑
53.1
125.4
Would lose
Highest peakm · Higher wins ↑
2,876
1,905
Would win
Coastlinekm · Higher wins ↑
4,828
1,318
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
18.4° S
23.5° N
Would win
29
Round 29Won37 countries · 2 lives left
PakistanvsChile
Population: 247,504,495 vs 19,658,835 people · Higher wins ↑
Conquered Chile.
Other category comparisons 3 other winning choices
All eight categories for Pakistan against Chile
Category
Pakistan
Chile
Result
Areakm² · Higher wins ↑
796,095
756,102
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
19,658,835
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
33,174
Would lose
Densityper km² · Higher wins ↑
310.9
26.0
Would win
Highest peakm · Higher wins ↑
8,611
6,893
Would win
Coastlinekm · Higher wins ↑
1,046
6,435
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
23.4° S
Would lose
30
Round 30Won38 countries · 2 lives left
El SalvadorvsLithuania
Coastline: 307 vs 90 km · Higher wins ↑
Conquered Lithuania.
Other category comparisons 5 other winning choices
All eight categories for El Salvador against Lithuania
Category
El Salvador
Lithuania
Result
Areakm² · Higher wins ↑
21,041
65,300
Would lose
Populationpeople · Higher wins ↑
6,309,624
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
12,667
52,720
Would lose
Densityper km² · Higher wins ↑
299.9
44.0
Would win
Highest peakm · Higher wins ↑
2,730
294
Would win
Coastlinekm · Higher wins ↑ · Chosen
307
90
Would win
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.9° N
55.1° N
Would win
31
Round 31Won39 countries · 2 lives left
LatviavsMontenegro
Population: 1,883,710 vs 623,529 people · Higher wins ↑
Conquered Montenegro.
Other category comparisons 3 other winning choices
All eight categories for Latvia against Montenegro
Category
Latvia
Montenegro
Result
Areakm² · Higher wins ↑
64,589
13,812
Would win
Populationpeople · Higher wins ↑ · Chosen
1,883,710
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
42,784
31,863
Would win
Densityper km² · Higher wins ↑
29.2
45.1
Would lose
Highest peakm · Higher wins ↑
312
2,534
Would lose
Coastlinekm · Higher wins ↑
498
293.5
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
42.8° N
Would lose
32
Round 32Won40 countries · 2 lives left
MozambiquevsCzechia
Area: 799,380 vs 78,867 km² · Higher wins ↑
Conquered Czechia.
Other category comparisons 5 other winning choices
All eight categories for Mozambique against Czechia
Category
Mozambique
Czechia
Result
Areakm² · Higher wins ↑ · Chosen
799,380
78,867
Would win
Populationpeople · Higher wins ↑
33,635,160
10,864,042
Would win
Wealth per personint’l $ · Higher wins ↑
1,680
56,062
Would lose
Densityper km² · Higher wins ↑
42.1
137.8
Would lose
Highest peakm · Higher wins ↑
2,436
1,602
Would win
Coastlinekm · Higher wins ↑
2,470
0
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.0° S
49.8° N
Would win
33
Round 33Won41 countries · 2 lives left
GhanavsPortugal
Proximity to equator: 7.0° N vs 40.7° N from the equator · Closer wins ↓
Conquered Portugal.
Other category comparisons 3 other winning choices
All eight categories for Ghana against Portugal
Category
Ghana
Portugal
Result
Areakm² · Higher wins ↑
238,533
92,090
Would win
Populationpeople · Higher wins ↑
33,787,914
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
49,800
Would lose
Densityper km² · Higher wins ↑
141.6
114.9
Would win
Highest peakm · Higher wins ↑
885
2,351
Would lose
Coastlinekm · Higher wins ↑
539
1,793
Would lose
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
40.7° N
Would win
34
Round 34Lost40 countries · 1 life left
JordanvsSri Lanka
Density: 128.0 vs 335.9 per km² · Higher wins ↑
Returned to the world: Jordan.
Other category comparisons 1 other winning choice
All eight categories for Jordan against Sri Lanka
Category
Jordan
Sri Lanka
Result
Areakm² · Higher wins ↑
89,342
65,610
Would win
Populationpeople · Higher wins ↑
11,439,213
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑
11,451
14,512
Would lose
Densityper km² · Higher wins ↑ · Chosen
128.0
335.9
Would lose
Highest peakm · Higher wins ↑
1,854
2,524
Would lose
Coastlinekm · Higher wins ↑
26
1,340
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Francevs
Nicaragua
DR Congo
Haiti
Netherlands
Senegal
Venezuela
New Zealand
Zimbabwe
Andorra
Luxembourg
Nigeria
Tajikistan
Ethiopia
Madagascar
United Arab Emirates
Pakistan
Chile
El Salvador
Lithuania
Latvia
Montenegro
Mozambique
Czechia
Ghana
Portugal
Jordan
Sri Lanka