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
MaldivesvsChile
Density: 1,765.1 vs 26.0 per km² · Higher wins ↑
Conquered Chile.
Other category comparisons 1 other winning choice
All eight categories for Maldives against Chile
Category
Maldives
Chile
Result
Areakm² · Higher wins ↑
298
756,102
Would lose
Populationpeople · Higher wins ↑
525,994
19,658,835
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
33,174
Would lose
Densityper km² · Higher wins ↑ · Chosen
1,765.1
26.0
Would win
Highest peakm · Higher wins ↑
5
6,893
Would lose
Coastlinekm · Higher wins ↑
644
6,435
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.3° N
23.4° S
Would win
2
Round 2Won14 countries · 4 lives left
CzechiavsMexico
Wealth per person: 56,062 vs 25,188 int’l $ · Higher wins ↑
Conquered Mexico.
Other category comparisons 1 other winning choice
All eight categories for Czechia against Mexico
Category
Czechia
Mexico
Result
Areakm² · Higher wins ↑
78,867
1,964,375
Would lose
Populationpeople · Higher wins ↑
10,864,042
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
25,188
Would win
Densityper km² · Higher wins ↑
137.8
66.0
Would win
Highest peakm · Higher wins ↑
1,602
5,636
Would lose
Coastlinekm · Higher wins ↑
0
9,330
Would lose
Flag colourscolours · Higher wins ↑
3
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
23.5° N
Would lose
3
Round 3Won15 countries · 4 lives left
IcelandvsKenya
Wealth per person: 82,257 vs 6,322 int’l $ · Higher wins ↑
Conquered Kenya.
Other category comparisons 1 other winning choice
All eight categories for Iceland against Kenya
Category
Iceland
Kenya
Result
Areakm² · Higher wins ↑
103,000
580,367
Would lose
Populationpeople · Higher wins ↑
385,663
55,339,003
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
6,322
Would win
Densityper km² · Higher wins ↑
3.7
95.4
Would lose
Highest peakm · Higher wins ↑
2,110
5,199
Would lose
Coastlinekm · Higher wins ↑
4,970
536
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
0.4° N
Would lose
4
Round 4Won16 countries · 4 lives left
FrancevsSerbia
Population: 65,925,961 vs 6,623,183 people · Higher wins ↑
Conquered Serbia.
Other category comparisons 5 other winning choices
All eight categories for France against Serbia
Category
France
Serbia
Result
Areakm² · Higher wins ↑
551,500
77,474
Would win
Populationpeople · Higher wins ↑ · Chosen
65,925,961
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑
60,927
29,777
Would win
Densityper km² · Higher wins ↑
119.5
85.5
Would win
Highest peakm · Higher wins ↑
4,810
2,169
Would win
Coastlinekm · Higher wins ↑
3,427
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
44.2° N
Would lose
5
Round 5Won17 countries · 4 lives left
ZimbabwevsAustria
Area: 390,757 vs 83,871 km² · Higher wins ↑
Conquered Austria.
Other category comparisons 3 other winning choices
All eight categories for Zimbabwe against Austria
Category
Zimbabwe
Austria
Result
Areakm² · Higher wins ↑ · Chosen
390,757
83,871
Would win
Populationpeople · Higher wins ↑
16,340,822
9,131,761
Would win
Wealth per personint’l $ · Higher wins ↑
5,796
74,261
Would lose
Densityper km² · Higher wins ↑
41.8
108.9
Would lose
Highest peakm · Higher wins ↑
2,592
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 ↓
19.0° S
47.7° N
Would win
6
Round 6Won18 countries · 4 lives left
SomaliavsBahrain
Area: 637,657 vs 760 km² · Higher wins ↑
Conquered Bahrain.
Other category comparisons 4 other winning choices
All eight categories for Somalia against Bahrain
Category
Somalia
Bahrain
Result
Areakm² · Higher wins ↑ · Chosen
637,657
760
Would win
Populationpeople · Higher wins ↑
18,358,615
1,577,059
Would win
Wealth per personint’l $ · Higher wins ↑
1,557
64,224
Would lose
Densityper km² · Higher wins ↑
28.8
2,075.1
Would lose
Highest peakm · Higher wins ↑
2,460
135
Would win
Coastlinekm · Higher wins ↑
3,025
161
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
26.0° N
Would win
7
Round 7Won19 countries · 4 lives left
Guinea-BissauvsNetherlands
Proximity to equator: 12.1° N vs 52.2° N from the equator · Closer wins ↓
Conquered Netherlands.
Other category comparisons 1 other winning choice
All eight categories for Guinea-Bissau against Netherlands
Category
Guinea-Bissau
Netherlands
Result
Areakm² · Higher wins ↑
36,125
41,543
Would lose
Populationpeople · Higher wins ↑
2,153,339
17,877,117
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
80,392
Would lose
Densityper km² · Higher wins ↑
59.6
430.3
Would lose
Highest peakm · Higher wins ↑
277
322
Would lose
Coastlinekm · Higher wins ↑
350
451
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
52.2° N
Would win
8
Round 8Won20 countries · 4 lives left
YemenvsBangladesh
Highest peak: 3,666 vs 1,060 m · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 4 other winning choices
All eight categories for Yemen against Bangladesh
Category
Yemen
Bangladesh
Result
Areakm² · Higher wins ↑
527,968
148,460
Would win
Populationpeople · Higher wins ↑
39,390,799
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
9,155
Unavailable
Densityper km² · Higher wins ↑
74.6
1,155.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
3,666
1,060
Would win
Coastlinekm · Higher wins ↑
1,906
580
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
24.3° N
Would win
9
Round 9Won21 countries · 4 lives left
NicaraguavsBotswana
Density: 52.3 vs 4.3 per km² · Higher wins ↑
Conquered Botswana.
Other category comparisons 5 other winning choices
All eight categories for Nicaragua against Botswana
Category
Nicaragua
Botswana
Result
Areakm² · Higher wins ↑
130,370
581,730
Would lose
Populationpeople · Higher wins ↑
6,823,613
2,480,244
Would win
Wealth per personint’l $ · Higher wins ↑
8,327
21,029
Would lose
Densityper km² · Higher wins ↑ · Chosen
52.3
4.3
Would win
Highest peakm · Higher wins ↑
2,085
1,495
Would win
Coastlinekm · Higher wins ↑
910
0
Would win
Flag colourscolours · Higher wins ↑
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
22.1° S
Would win
10
Round 10Won22 countries · 4 lives left
New ZealandvsUkraine
Wealth per person: 54,950 vs 17,680 int’l $ · Higher wins ↑
Conquered Ukraine.
Other category comparisons 4 other winning choices
All eight categories for New Zealand against Ukraine
Category
New Zealand
Ukraine
Result
Areakm² · Higher wins ↑
268,838
603,550
Would lose
Populationpeople · Higher wins ↑
5,200,000
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,950
17,680
Would win
Densityper km² · Higher wins ↑
19.3
62.5
Would lose
Highest peakm · Higher wins ↑
3,724
2,061
Would win
Coastlinekm · Higher wins ↑
15,134
2,782
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
49.6° N
Would win
11
Round 11Won23 countries · 4 lives left
ParaguayvsIraq
Proximity to equator: 21.6° S vs 33.3° N from the equator · Closer wins ↓
Conquered Iraq.
Other category comparisons 2 other winning choices
All eight categories for Paraguay against Iraq
Category
Paraguay
Iraq
Result
Areakm² · Higher wins ↑
406,752
438,317
Would lose
Populationpeople · Higher wins ↑
6,844,146
45,074,049
Would lose
Wealth per personint’l $ · Higher wins ↑
17,585
14,665
Would win
Densityper km² · Higher wins ↑
16.8
102.8
Would lose
Highest peakm · Higher wins ↑
842
3,611
Would lose
Coastlinekm · Higher wins ↑
0
58
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
21.6° S
33.3° N
Would win
12
Round 12Won24 countries · 4 lives left
BoliviavsTunisia
Area: 1,098,581 vs 163,610 km² · Higher wins ↑
Conquered Tunisia.
Other category comparisons 4 other winning choices
All eight categories for Bolivia against Tunisia
Category
Bolivia
Tunisia
Result
Areakm² · Higher wins ↑ · Chosen
1,098,581
163,610
Would win
Populationpeople · Higher wins ↑
12,244,159
12,200,431
Would win
Wealth per personint’l $ · Higher wins ↑
12,903
14,052
Would lose
Densityper km² · Higher wins ↑
11.1
74.6
Would lose
Highest peakm · Higher wins ↑
6,542
1,544
Would win
Coastlinekm · Higher wins ↑
0
1,148
Would lose
Flag colourscolours · Higher wins ↑
9
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.7° S
35.3° N
Would win
13
Round 13Won25 countries · 4 lives left
MaldivesvsBelize
Density: 1,765.1 vs 17.9 per km² · Higher wins ↑
Conquered Belize.
Other category comparisons 4 other winning choices
All eight categories for Maldives against Belize
Category
Maldives
Belize
Result
Areakm² · Higher wins ↑
298
22,966
Would lose
Populationpeople · Higher wins ↑
525,994
411,106
Would win
Wealth per personint’l $ · Higher wins ↑
24,807
13,741
Would win
Densityper km² · Higher wins ↑ · Chosen
1,765.1
17.9
Would win
Highest peakm · Higher wins ↑
5
1,124
Would lose
Coastlinekm · Higher wins ↑
644
386
Would win
Flag colourscolours · Higher wins ↑
3
12
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.3° N
17.0° N
Would win
14
Round 14Won26 countries · 4 lives left
ChilevsIran
Coastline: 6,435 vs 2,440 km · Higher wins ↑
Conquered Iran.
Other category comparisons 3 other winning choices
All eight categories for Chile against Iran
Category
Chile
Iran
Result
Areakm² · Higher wins ↑
756,102
1,648,195
Would lose
Populationpeople · Higher wins ↑
19,658,835
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑
33,174
18,933
Would win
Densityper km² · Higher wins ↑
26.0
55.0
Would lose
Highest peakm · Higher wins ↑
6,893
5,625
Would win
Coastlinekm · Higher wins ↑ · Chosen
6,435
2,440
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
32.1° N
Would win
15
Round 15Won27 countries · 4 lives left
CzechiavsIreland
Highest peak: 1,602 vs 1,041 m · Higher wins ↑
Conquered Ireland.
Other category comparisons 4 other winning choices
All eight categories for Czechia against Ireland
Category
Czechia
Ireland
Result
Areakm² · Higher wins ↑
78,867
70,273
Would win
Populationpeople · Higher wins ↑
10,864,042
5,311,538
Would win
Wealth per personint’l $ · Higher wins ↑
56,062
133,440
Would lose
Densityper km² · Higher wins ↑
137.8
75.6
Would win
Highest peakm · Higher wins ↑ · Chosen
1,602
1,041
Would win
Coastlinekm · Higher wins ↑
0
1,448
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
53.1° N
Would win
16
Round 16Won28 countries · 4 lives left
MexicovsEl Salvador
Population: 129,739,759 vs 6,309,624 people · Higher wins ↑
Conquered El Salvador.
Other category comparisons 5 other winning choices
All eight categories for Mexico against El Salvador
Category
Mexico
El Salvador
Result
Areakm² · Higher wins ↑
1,964,375
21,041
Would win
Populationpeople · Higher wins ↑ · Chosen
129,739,759
6,309,624
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
12,667
Would win
Densityper km² · Higher wins ↑
66.0
299.9
Would lose
Highest peakm · Higher wins ↑
5,636
2,730
Would win
Coastlinekm · Higher wins ↑
9,330
307
Would win
Flag colourscolours · Higher wins ↑
11
9
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
13.9° N
Would lose
17
Round 17Won29 countries · 4 lives left
IcelandvsEswatini
Wealth per person: 82,257 vs 11,309 int’l $ · Higher wins ↑
Conquered Eswatini.
Other category comparisons 3 other winning choices
All eight categories for Iceland against Eswatini
Category
Iceland
Eswatini
Result
Areakm² · Higher wins ↑
103,000
17,364
Would win
Populationpeople · Higher wins ↑
385,663
1,230,506
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
11,309
Would win
Densityper km² · Higher wins ↑
3.7
70.9
Would lose
Highest peakm · Higher wins ↑
2,110
1,862
Would win
Coastlinekm · Higher wins ↑
4,970
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
26.6° S
Would lose
18
Round 18Won30 countries · 4 lives left
KenyavsMoldova
Population: 55,339,003 vs 2,457,783 people · Higher wins ↑
Conquered Moldova.
Other category comparisons 5 other winning choices
All eight categories for Kenya against Moldova
Category
Kenya
Moldova
Result
Areakm² · Higher wins ↑
580,367
33,851
Would win
Populationpeople · Higher wins ↑ · Chosen
55,339,003
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
6,322
17,751
Would lose
Densityper km² · Higher wins ↑
95.4
72.6
Would win
Highest peakm · Higher wins ↑
5,199
430
Would win
Coastlinekm · Higher wins ↑
536
0
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
0.4° N
47.5° N
Would win
19
Round 19Won31 countries · 4 lives left
FrancevsNorway
Population: 65,925,961 vs 5,519,601 people · Higher wins ↑
Conquered Norway.
Other category comparisons 4 other winning choices
All eight categories for France against Norway
Category
France
Norway
Result
Areakm² · Higher wins ↑
551,500
323,802
Would win
Populationpeople · Higher wins ↑ · Chosen
65,925,961
5,519,601
Would win
Wealth per personint’l $ · Higher wins ↑
60,927
107,768
Would lose
Densityper km² · Higher wins ↑
119.5
17.0
Would win
Highest peakm · Higher wins ↑
4,810
2,469
Would win
Coastlinekm · Higher wins ↑
3,427
25,148
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
61.5° N
Would win
20
Round 20Won32 countries · 4 lives left
SerbiavsSwitzerland
Proximity to equator: 44.2° N vs 46.7° N from the equator · Closer wins ↓
Conquered Switzerland.
Other category comparisons 2 other winning choices
All eight categories for Serbia against Switzerland
Category
Serbia
Switzerland
Result
Areakm² · Higher wins ↑
77,474
41,277
Would win
Populationpeople · Higher wins ↑
6,623,183
8,888,822
Would lose
Wealth per personint’l $ · Higher wins ↑
29,777
93,940
Would lose
Densityper km² · Higher wins ↑
85.5
215.3
Would lose
Highest peakm · Higher wins ↑
2,169
4,634
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen