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
BotswanavsTrinidad and Tobago
Area: 581,730 vs 5,128 km² · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 2 other winning choices
All eight categories for Botswana against Trinidad and Tobago
Category
Botswana
Trinidad and Tobago
Result
Areakm² · Higher wins ↑ · Chosen
581,730
5,128
Would win
Populationpeople · Higher wins ↑
2,480,244
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
21,029
34,652
Would lose
Densityper km² · Higher wins ↑
4.3
266.7
Would lose
Highest peakm · Higher wins ↑
1,495
940
Would win
Coastlinekm · Higher wins ↑
0
362
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
22.1° S
10.3° N
Would lose
2
Round 2Won14 countries · 4 lives left
NepalvsMontenegro
Highest peak: 8,849 vs 2,534 m · Higher wins ↑
Conquered Montenegro.
Other category comparisons 4 other winning choices
All eight categories for Nepal against Montenegro
Category
Nepal
Montenegro
Result
Areakm² · Higher wins ↑
147,181
13,812
Would win
Populationpeople · Higher wins ↑
29,694,614
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
31,863
Would lose
Densityper km² · Higher wins ↑
201.8
45.1
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
2,534
Would win
Coastlinekm · Higher wins ↑
0
293.5
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
42.8° N
Would win
3
Round 3Won15 countries · 4 lives left
SingaporevsNigeria
Density: 8,230.4 vs 246.7 per km² · Higher wins ↑
Conquered Nigeria.
Other category comparisons 2 other winning choices
All eight categories for Singapore against Nigeria
Category
Singapore
Nigeria
Result
Areakm² · Higher wins ↑
719
923,768
Would lose
Populationpeople · Higher wins ↑
5,917,648
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
8,712
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
246.7
Would win
Highest peakm · Higher wins ↑
166
2,419
Would lose
Coastlinekm · Higher wins ↑
193
853
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
9.4° N
Would win
4
Round 4Won16 countries · 4 lives left
AlbaniavsPoland
Proximity to equator: 40.7° N vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 1 other winning choice
All eight categories for Albania against Poland
Category
Albania
Poland
Result
Areakm² · Higher wins ↑
28,748
312,685
Would lose
Populationpeople · Higher wins ↑
2,411,658
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
24,848
48,473
Would lose
Densityper km² · Higher wins ↑
83.9
117.3
Would lose
Highest peakm · Higher wins ↑
2,764
2,499
Would win
Coastlinekm · Higher wins ↑
362
440
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
40.7° N
51.9° N
Would win
5
Round 5Won17 countries · 4 lives left
MyanmarvsIreland
Population: 54,133,798 vs 5,311,538 people · Higher wins ↑
Conquered Ireland.
Other category comparisons 6 other winning choices
All eight categories for Myanmar against Ireland
Category
Myanmar
Ireland
Result
Areakm² · Higher wins ↑
676,578
70,273
Would win
Populationpeople · Higher wins ↑ · Chosen
54,133,798
5,311,538
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
133,440
Would lose
Densityper km² · Higher wins ↑
80.0
75.6
Would win
Highest peakm · Higher wins ↑
5,870
1,041
Would win
Coastlinekm · Higher wins ↑
1,930
1,448
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
53.1° N
Would win
6
Round 6Won18 countries · 4 lives left
VenezuelavsEswatini
Population: 28,300,854 vs 1,230,506 people · Higher wins ↑
Conquered Eswatini.
Other category comparisons 4 other winning choices
All eight categories for Venezuela against Eswatini
Category
Venezuela
Eswatini
Result
Areakm² · Higher wins ↑
912,050
17,364
Would win
Populationpeople · Higher wins ↑ · Chosen
28,300,854
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
11,309
Unavailable
Densityper km² · Higher wins ↑
31.0
70.9
Would lose
Highest peakm · Higher wins ↑
4,978
1,862
Would win
Coastlinekm · Higher wins ↑
2,800
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.2° N
26.6° S
Would win
7
Round 7Won19 countries · 4 lives left
NorwayvsCuba
Area: 323,802 vs 110,860 km² · Higher wins ↑
Conquered Cuba.
Other category comparisons 2 other winning choices
All eight categories for Norway against Cuba
Category
Norway
Cuba
Result
Areakm² · Higher wins ↑ · Chosen
323,802
110,860
Would win
Populationpeople · Higher wins ↑
5,519,601
11,019,931
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
107,768
Unavailable
Unavailable
Densityper km² · Higher wins ↑
17.0
99.4
Would lose
Highest peakm · Higher wins ↑
2,469
1,974
Would win
Coastlinekm · Higher wins ↑
25,148
3,735
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
61.5° N
20.6° N
Would lose
8
Round 8Lost18 countries · 3 lives left
LesothovsZimbabwe
Flag colours: 4 vs 6 colours · Higher wins ↑
Returned to the world: Lesotho.
Other category comparisons 2 other winning choices
All eight categories for Lesotho against Zimbabwe
Category
Lesotho
Zimbabwe
Result
Areakm² · Higher wins ↑
30,355
390,757
Would lose
Populationpeople · Higher wins ↑
2,311,472
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑
2,880
5,796
Would lose
Densityper km² · Higher wins ↑
76.1
41.8
Would win
Highest peakm · Higher wins ↑
3,482
2,592
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑ · Chosen
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓