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
IraqvsNamibia
Wealth per person: 14,665 vs 11,248 int’l $ · Higher wins ↑
Conquered Namibia.
Other category comparisons 3 other winning choices
All eight categories for Iraq against Namibia
Category
Iraq
Namibia
Result
Areakm² · Higher wins ↑
438,317
824,292
Would lose
Populationpeople · Higher wins ↑
45,074,049
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
14,665
11,248
Would win
Densityper km² · Higher wins ↑
102.8
3.6
Would win
Highest peakm · Higher wins ↑
3,611
2,573
Would win
Coastlinekm · Higher wins ↑
58
1,572
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
20.6° S
Would lose
22
Round 22Won34 countries · 4 lives left
QatarvsCabo Verde
Wealth per person: 129,025 vs 10,251 int’l $ · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 3 other winning choices
All eight categories for Qatar against Cabo Verde
Category
Qatar
Cabo Verde
Result
Areakm² · Higher wins ↑
11,586
4,033
Would win
Populationpeople · Higher wins ↑
2,656,032
522,331
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
129,025
10,251
Would win
Densityper km² · Higher wins ↑
229.2
129.5
Would win
Highest peakm · Higher wins ↑
103
2,829
Would lose
Coastlinekm · Higher wins ↑
563
965
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
25.1° N
15.0° N
Would lose
23
Round 23Won35 countries · 4 lives left
JamaicavsCôte d’Ivoire
Wealth per person: 12,661 vs 7,243 int’l $ · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 3 other winning choices
All eight categories for Jamaica against Côte d’Ivoire
Category
Jamaica
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
10,991
322,463
Would lose
Populationpeople · Higher wins ↑
2,839,786
31,165,654
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
12,661
7,243
Would win
Densityper km² · Higher wins ↑
258.4
96.6
Would win
Highest peakm · Higher wins ↑
2,256
1,752
Would win
Coastlinekm · Higher wins ↑
1,022
515
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
18.1° N
7.5° N
Would lose
24
Round 24Won36 countries · 4 lives left
BulgariavsPortugal
Highest peak: 2,925 vs 2,351 m · Higher wins ↑
Conquered Portugal.
Other category comparisons 1 other winning choice
All eight categories for Bulgaria against Portugal
Category
Bulgaria
Portugal
Result
Areakm² · Higher wins ↑
110,879
92,090
Would win
Populationpeople · Higher wins ↑
6,446,596
10,578,174
Would lose
Wealth per personint’l $ · Higher wins ↑
38,829
49,800
Would lose
Densityper km² · Higher wins ↑
58.1
114.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
2,925
2,351
Would win
Coastlinekm · Higher wins ↑
354
1,793
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
40.7° N
Would lose
25
Round 25Lost35 countries · 3 lives left
BruneivsMaldives
Density: 79.6 vs 1,765.1 per km² · Higher wins ↑
Returned to the world: Brunei.
Other category comparisons 4 other winning choices
All eight categories for Brunei against Maldives
Category
Brunei
Maldives
Result
Areakm² · Higher wins ↑
5,765
298
Would win
Populationpeople · Higher wins ↑
458,949
525,994
Would lose
Wealth per personint’l $ · Higher wins ↑
85,103
24,807
Would win
Densityper km² · Higher wins ↑ · Chosen
79.6
1,765.1
Would lose
Highest peakm · Higher wins ↑
1,850
5
Would win
Coastlinekm · Higher wins ↑
161
644
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
3.3° N
Would lose
26
Round 26Won36 countries · 3 lives left
AustraliavsItaly
Area: 7,741,220 vs 301,340 km² · Higher wins ↑
Conquered Italy.
Other category comparisons 3 other winning choices
All eight categories for Australia against Italy
Category
Australia
Italy
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
301,340
Would win
Populationpeople · Higher wins ↑
26,659,922
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
72,273
60,350
Would win
Densityper km² · Higher wins ↑
3.4
195.7
Would lose
Highest peakm · Higher wins ↑
2,228
4,748
Would lose
Coastlinekm · Higher wins ↑
25,760
7,600
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
45.1° N
Would win
27
Round 27Won37 countries · 3 lives left
PhilippinesvsSyria
Population: 114,891,199 vs 23,594,623 people · Higher wins ↑
Conquered Syria.
Other category comparisons 5 other winning choices
All eight categories for Philippines against Syria
Category
Philippines
Syria
Result
Areakm² · Higher wins ↑
300,000
187,437
Would win
Populationpeople · Higher wins ↑ · Chosen
114,891,199
23,594,623
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
10,995
Unavailable
Unavailable
Densityper km² · Higher wins ↑
383.0
125.9
Would win
Highest peakm · Higher wins ↑
2,954
2,814
Would win
Coastlinekm · Higher wins ↑
36,289
193
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
35.0° N
Would win
28
Round 28Won38 countries · 3 lives left
LaosvsBrazil
Density: 32.4 vs 24.8 per km² · Higher wins ↑
Conquered Brazil.
Other category comparisons 0 other winning choices
All eight categories for Laos against Brazil
Category
Laos
Brazil
Result
Areakm² · Higher wins ↑
236,800
8,515,770
Would lose
Populationpeople · Higher wins ↑
7,664,993
211,140,729
Would lose
Wealth per personint’l $ · Higher wins ↑
9,299
21,193
Would lose
Densityper km² · Higher wins ↑ · Chosen
32.4
24.8
Would win
Highest peakm · Higher wins ↑
2,817
2,994
Would lose
Coastlinekm · Higher wins ↑
0
7,491
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
19.6° N
12.6° S
Would lose
29
Round 29Won39 countries · 3 lives left
EritreavsGambia
Coastline: 2,234 vs 80 km · Higher wins ↑
Conquered Gambia.
Other category comparisons 3 other winning choices
All eight categories for Eritrea against Gambia
Category
Eritrea
Gambia
Result
Areakm² · Higher wins ↑
117,600
11,300
Would win
Populationpeople · Higher wins ↑
3,470,390
2,697,845
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
3,292
Unavailable
Densityper km² · Higher wins ↑
29.5
238.7
Would lose
Highest peakm · Higher wins ↑
3,018
63
Would win
Coastlinekm · Higher wins ↑ · Chosen
2,234
80
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
16.0° N
13.6° N
Would lose
30
Round 30Lost38 countries · 2 lives left
AfghanistanvsMauritania
Area: 652,230 vs 1,030,700 km² · Higher wins ↑
Returned to the world: Afghanistan.
Other category comparisons 4 other winning choices
All eight categories for Afghanistan against Mauritania
Category
Afghanistan
Mauritania
Result
Areakm² · Higher wins ↑ · Chosen
652,230
1,030,700
Would lose
Populationpeople · Higher wins ↑
41,454,761
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑
2,204
6,972
Would lose
Densityper km² · Higher wins ↑
63.6
4.9
Would win
Highest peakm · Higher wins ↑
7,492
915
Would win
Coastlinekm · Higher wins ↑
0
754
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
19.4° N
Would lose
31
Round 31Won39 countries · 2 lives left
AngolavsSouth Africa
Area: 1,246,700 vs 1,219,090 km² · Higher wins ↑
Conquered South Africa.
Other category comparisons 1 other winning choice
All eight categories for Angola against South Africa
Category
Angola
South Africa
Result
Areakm² · Higher wins ↑ · Chosen
1,246,700
1,219,090
Would win
Populationpeople · Higher wins ↑
36,749,906
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
9,550
15,212
Would lose
Densityper km² · Higher wins ↑
29.5
51.9
Would lose
Highest peakm · Higher wins ↑
2,620
3,450
Would lose
Coastlinekm · Higher wins ↑
1,600
2,798
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.2° S
30.2° S
Would win
32
Round 32Won40 countries · 2 lives left
SloveniavsFrance
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered France.
Other category comparisons 1 other winning choice
All eight categories for Slovenia against France
Category
Slovenia
France
Result
Areakm² · Higher wins ↑
20,273
551,500
Would lose
Populationpeople · Higher wins ↑
2,120,461
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
56,151
60,927
Would lose
Densityper km² · Higher wins ↑
104.6
119.5
Would lose
Highest peakm · Higher wins ↑
2,864
4,810
Would lose
Coastlinekm · Higher wins ↑
46.6
3,427
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
46.7° N
Would win
33
Round 33Won41 countries · 2 lives left
TürkiyevsChile
Area: 783,562 vs 756,102 km² · Higher wins ↑
Conquered Chile.
Other category comparisons 4 other winning choices
All eight categories for Türkiye against Chile
Category
Türkiye
Chile
Result
Areakm² · Higher wins ↑ · Chosen
783,562
756,102
Would win
Populationpeople · Higher wins ↑
85,325,965
19,658,835
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
33,174
Would win
Densityper km² · Higher wins ↑
108.9
26.0
Would win
Highest peakm · Higher wins ↑
5,137
6,893
Would lose
Coastlinekm · Higher wins ↑
7,200
6,435
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
23.4° S
Would lose
34
Round 34Won42 countries · 2 lives left
MoroccovsDR Congo
Wealth per person: 9,903 vs 1,732 int’l $ · Higher wins ↑
Conquered DR Congo.
Other category comparisons 2 other winning choices
All eight categories for Morocco against DR Congo
Category
Morocco
DR Congo
Result
Areakm² · Higher wins ↑
446,550
2,344,858
Would lose
Populationpeople · Higher wins ↑
37,712,505
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
9,903
1,732
Would win
Densityper km² · Higher wins ↑
84.5
45.1
Would win
Highest peakm · Higher wins ↑
4,165
5,110
Would lose
Coastlinekm · Higher wins ↑
1,835
37
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
1.9° S
Would lose
35
Round 35Won43 countries · 2 lives left
AlgeriavsSuriname
Area: 2,381,740 vs 163,820 km² · Higher wins ↑
Conquered Suriname.
Other category comparisons 4 other winning choices
All eight categories for Algeria against Suriname
Category
Algeria
Suriname
Result
Areakm² · Higher wins ↑ · Chosen
2,381,740
163,820
Would win
Populationpeople · Higher wins ↑
46,164,219
628,886
Would win
Wealth per personint’l $ · Higher wins ↑
16,838
21,128
Would lose
Densityper km² · Higher wins ↑
19.4
3.8
Would win
Highest peakm · Higher wins ↑
2,908
1,230
Would win
Coastlinekm · Higher wins ↑
998
386
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.4° N
4.1° N
Would lose
36
Round 36Won44 countries · 2 lives left
MadagascarvsUkraine
Coastline: 4,828 vs 2,782 km · Higher wins ↑
Conquered Ukraine.
Other category comparisons 3 other winning choices
All eight categories for Madagascar against Ukraine
Category
Madagascar
Ukraine
Result
Areakm² · Higher wins ↑
587,041
603,550
Would lose
Populationpeople · Higher wins ↑
31,195,932
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑
1,810
17,680
Would lose
Densityper km² · Higher wins ↑
53.1
62.5
Would lose
Highest peakm · Higher wins ↑
2,876
2,061
Would win
Coastlinekm · Higher wins ↑ · Chosen
4,828
2,782
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
18.4° S
49.6° N
Would win
37
Round 37Won45 countries · 2 lives left
MalawivsLatvia
Population: 21,104,482 vs 1,883,710 people · Higher wins ↑
Conquered Latvia.
Other category comparisons 5 other winning choices
All eight categories for Malawi against Latvia
Category
Malawi
Latvia
Result
Areakm² · Higher wins ↑
118,484
64,589
Would win
Populationpeople · Higher wins ↑ · Chosen
21,104,482
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
42,784
Would lose
Densityper km² · Higher wins ↑
178.1
29.2
Would win
Highest peakm · Higher wins ↑
3,002
312
Would win
Coastlinekm · Higher wins ↑
0
498
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.4° S
56.6° N
Would win
38
Round 38Won46 countries · 2 lives left
LebanonvsSouth Korea
Proximity to equator: 34.2° N vs 36.3° N from the equator · Closer wins ↓
Conquered South Korea.
Other category comparisons 2 other winning choices
All eight categories for Lebanon against South Korea
Category
Lebanon
South Korea
Result
Areakm² · Higher wins ↑
10,400
99,720
Would lose
Populationpeople · Higher wins ↑
5,773,493
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
57,430
Would lose
Densityper km² · Higher wins ↑
555.1
518.6
Would win
Highest peakm · Higher wins ↑
3,088
1,950
Would win
Coastlinekm · Higher wins ↑
225
2,413
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
34.2° N
36.3° N
Would win
39
Round 39Won47 countries · 2 lives left
BelarusvsTanzania
Wealth per person: 30,860 vs 4,022 int’l $ · Higher wins ↑
Conquered Tanzania.
Other category comparisons 0 other winning choices
All eight categories for Belarus against Tanzania
Category
Belarus
Tanzania
Result
Areakm² · Higher wins ↑
207,600
947,300
Would lose
Populationpeople · Higher wins ↑
9,178,298
66,617,606
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
30,860
4,022
Would win
Densityper km² · Higher wins ↑
44.2
70.3
Would lose
Highest peakm · Higher wins ↑
346
5,895
Would lose
Coastlinekm · Higher wins ↑
0
1,424
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
5.5° S
Would lose
40
Round 40Won48 countries · 2 lives left
IndiavsAndorra
Population: 1,438,069,596 vs 80,856 people · Higher wins ↑
Conquered Andorra.
Other category comparisons 5 other winning choices
All eight categories for India against Andorra
Category
India
Andorra
Result
Areakm² · Higher wins ↑
3,287,263
468
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
71,790
Would lose
Densityper km² · Higher wins ↑
437.5
172.8
Would win
Highest peakm · Higher wins ↑
8,586
2,946
Would win
Coastlinekm · Higher wins ↑
7,000
0
Would win
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓