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 1Lost11 countries · 3 lives left
SomaliavsMali
Flag colours: 2 vs 3 colours · Higher wins ↑
Returned to the world: Somalia.
Other category comparisons 3 other winning choices
All eight categories for Somalia against Mali
Category
Somalia
Mali
Result
Areakm² · Higher wins ↑
637,657
1,240,192
Would lose
Populationpeople · Higher wins ↑
18,358,615
23,769,127
Would lose
Wealth per personint’l $ · Higher wins ↑
1,557
3,178
Would lose
Densityper km² · Higher wins ↑
28.8
19.2
Would win
Highest peakm · Higher wins ↑
2,460
1,155
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
3,025
0
Would win
Flag colourscolours · Higher wins ↑ · Chosen
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
18.6° N
Would win
2
Round 2Won12 countries · 3 lives left
GhanavsNepal
Proximity to equator: 7.0° N vs 29.0° N from the equator · Closer wins ↓
Conquered Nepal.
Other category comparisons 4 other winning choices
All eight categories for Ghana against Nepal
Category
Ghana
Nepal
Result
Areakm² · Higher wins ↑
238,533
147,181
Would win
Populationpeople · Higher wins ↑
33,787,914
29,694,614
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
5,400
Would win
Densityper km² · Higher wins ↑
141.6
201.8
Would lose
Highest peakm · Higher wins ↑
885
8,849
Would lose
CoastlineBlocked in Hard · km · Higher wins ↑
539
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
29.0° N
Would win
3
Round 3Won13 countries · 3 lives left
RomaniavsGabon
Wealth per person: 45,982 vs 20,773 int’l $ · Higher wins ↑
Conquered Gabon.
Other category comparisons 2 other winning choices
All eight categories for Romania against Gabon
Category
Romania
Gabon
Result
Areakm² · Higher wins ↑
238,391
267,667
Would lose
PopulationBlocked in Hard · people · Higher wins ↑
19,061,062
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
45,982
20,773
Would win
Densityper km² · Higher wins ↑
80.0
9.3
Would win
Highest peakm · Higher wins ↑
2,544
1,050
Would win
Coastlinekm · Higher wins ↑
225
885
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.7° N
0.6° S
Would lose
4
Round 4Won14 countries · 3 lives left
KenyavsIreland
Highest peak: 5,199 vs 1,041 m · Higher wins ↑
Conquered Ireland.
Other category comparisons 4 other winning choices
All eight categories for Kenya against Ireland
Category
Kenya
Ireland
Result
Areakm² · Higher wins ↑
580,367
70,273
Would win
Populationpeople · Higher wins ↑
55,339,003
5,311,538
Would win
Wealth per personint’l $ · Higher wins ↑
6,322
133,440
Would lose
Densityper km² · Higher wins ↑
95.4
75.6
Would win
Highest peakm · Higher wins ↑ · Chosen
5,199
1,041
Would win
Coastlinekm · Higher wins ↑
536
1,448
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorBlocked in Hard · from the equator · Closer wins ↓
0.4° N
53.1° N
Would win
5
Round 5Won15 countries · 3 lives left
LibyavsNicaragua
Population: 7,305,659 vs 6,823,613 people · Higher wins ↑
Conquered Nicaragua.
Other category comparisons 3 other winning choices
All eight categories for Libya against Nicaragua
Category
Libya
Nicaragua
Result
AreaBlocked in Hard · km² · Higher wins ↑
1,759,540
130,370
Would win
Populationpeople · Higher wins ↑ · Chosen
7,305,659
6,823,613
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
8,327
Would win
Densityper km² · Higher wins ↑
4.2
52.3
Would lose
Highest peakm · Higher wins ↑
2,267
2,085
Would win
Coastlinekm · Higher wins ↑
1,770
910
Would win
Flag colourscolours · Higher wins ↑
4
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
12.6° N
Would lose
6
Round 6Won16 countries · 3 lives left
CameroonvsLithuania
Proximity to equator: 4.5° N vs 55.1° N from the equator · Closer wins ↓
Conquered Lithuania.
Other category comparisons 4 other winning choices
All eight categories for Cameroon against Lithuania
Category
Cameroon
Lithuania
Result
Areakm² · Higher wins ↑
475,440
65,300
Would win
PopulationBlocked in Hard · people · Higher wins ↑
28,372,687
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
5,415
52,720
Would lose
Densityper km² · Higher wins ↑
59.7
44.0
Would win
Highest peakm · Higher wins ↑
4,045
294
Would win
Coastlinekm · Higher wins ↑
402
90
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.5° N
55.1° N
Would win
7
Round 7Won17 countries · 3 lives left
HondurasvsAzerbaijan
Proximity to equator: 14.7° N vs 40.5° N from the equator · Closer wins ↓
Conquered Azerbaijan.
Other category comparisons 2 other winning choices
All eight categories for Honduras against Azerbaijan
Category
Honduras
Azerbaijan
Result
Areakm² · Higher wins ↑
112,090
86,600
Would win
Populationpeople · Higher wins ↑
10,644,851
10,153,958
Would win
Wealth per personint’l $ · Higher wins ↑
7,184
23,671
Would lose
Densityper km² · Higher wins ↑
95.0
117.3
Would lose
Highest peakm · Higher wins ↑
2,870
4,466
Would lose
CoastlineBlocked in Hard · km · Higher wins ↑
823
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.7° N
40.5° N
Would win
8
Round 8Won18 countries · 3 lives left
ColombiavsMali
Wealth per person: 21,282 vs 3,178 int’l $ · Higher wins ↑
Conquered Mali.
Other category comparisons 4 other winning choices
All eight categories for Colombia against Mali
Category
Colombia
Mali
Result
Areakm² · Higher wins ↑
1,138,910
1,240,192
Would lose
Populationpeople · Higher wins ↑
52,321,152
23,769,127
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
21,282
3,178
Would win
Densityper km² · Higher wins ↑
45.9
19.2
Would win
Highest peakm · Higher wins ↑
5,730
1,155
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
3,208
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
18.6° N
Would win
9
Round 9Won19 countries · 3 lives left
BoliviavsCroatia
Proximity to equator: 16.7° S vs 45.8° N from the equator · Closer wins ↓
Conquered Croatia.
Other category comparisons 3 other winning choices
All eight categories for Bolivia against Croatia
Category
Bolivia
Croatia
Result
AreaBlocked in Hard · km² · Higher wins ↑
1,098,581
56,594
Would win
Populationpeople · Higher wins ↑
12,244,159
3,859,686
Would win
Wealth per personint’l $ · Higher wins ↑
12,903
47,760
Would lose
Densityper km² · Higher wins ↑
11.1
68.2
Would lose
Highest peakm · Higher wins ↑
6,542
1,831
Would win
Coastlinekm · Higher wins ↑
0
5,835
Would lose
Flag colourscolours · Higher wins ↑
9
6
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
16.7° S
45.8° N
Would win
10
Round 10Won20 countries · 3 lives left
MauritaniavsPeru
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Peru.
Other category comparisons 0 other winning choices
All eight categories for Mauritania against Peru
Category
Mauritania
Peru
Result
Areakm² · Higher wins ↑
1,030,700
1,285,216
Would lose
Populationpeople · Higher wins ↑
5,022,441
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑
6,972
17,042
Would lose
Densityper km² · Higher wins ↑
4.9
26.3
Would lose
Highest peakm · Higher wins ↑
915
6,746
Would lose
Coastlinekm · Higher wins ↑
754
2,414
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
13.0° S
Would lose
11
Round 11Won21 countries · 3 lives left
TunisiavsRepublic of the Congo
Wealth per person: 14,052 vs 6,856 int’l $ · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 3 other winning choices
All eight categories for Tunisia against Republic of the Congo
Category
Tunisia
Republic of the Congo
Result
Areakm² · Higher wins ↑
163,610
342,000
Would lose
Populationpeople · Higher wins ↑
12,200,431
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
14,052
6,856
Would win
Densityper km² · Higher wins ↑
74.6
18.1
Would win
Highest peakm · Higher wins ↑
1,544
1,020
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
1,148
169
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.3° N
0.1° N
Would lose
12
Round 12Won22 countries · 3 lives left
MoroccovsTrinidad and Tobago
Population: 37,712,505 vs 1,367,510 people · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 2 other winning choices
All eight categories for Morocco against Trinidad and Tobago
Category
Morocco
Trinidad and Tobago
Result
AreaBlocked in Hard · km² · Higher wins ↑
446,550
5,128
Would win
Populationpeople · Higher wins ↑ · Chosen
37,712,505
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
34,652
Would lose
Densityper km² · Higher wins ↑
84.5
266.7
Would lose
Highest peakm · Higher wins ↑
4,165
940
Would win
Coastlinekm · Higher wins ↑
1,835
362
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
10.3° N
Would lose
13
Round 13Won23 countries · 3 lives left
GhanavsBahamas
Highest peak: 885 vs 64 m · Higher wins ↑
Conquered Bahamas.
Other category comparisons 4 other winning choices
All eight categories for Ghana against Bahamas
Category
Ghana
Bahamas
Result
Areakm² · Higher wins ↑
238,533
13,880
Would win
PopulationBlocked in Hard · people · Higher wins ↑
33,787,914
399,440
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
39,122
Would lose
Densityper km² · Higher wins ↑
141.6
28.8
Would win
Highest peakm · Higher wins ↑ · Chosen
885
64
Would win
Coastlinekm · Higher wins ↑
539
3,542
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
24.7° N
Would win
14
Round 14Won24 countries · 3 lives left
NepalvsMalta
Area: 147,181 vs 316 km² · Higher wins ↑
Conquered Malta.
Other category comparisons 2 other winning choices
All eight categories for Nepal against Malta
Category
Nepal
Malta
Result
Areakm² · Higher wins ↑ · Chosen
147,181
316
Would win
PopulationBlocked in Hard · people · Higher wins ↑
29,694,614
552,747
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
67,101
Would lose
Densityper km² · Higher wins ↑
201.8
1,749.2
Would lose
Highest peakm · Higher wins ↑
8,849
253
Would win
Coastlinekm · Higher wins ↑
0
196.8
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
35.9° N
Would win
15
Round 15Won25 countries · 3 lives left
RomaniavsPoland
Proximity to equator: 45.7° N vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 1 other winning choice
All eight categories for Romania against Poland
Category
Romania
Poland
Result
Areakm² · Higher wins ↑
238,391
312,685
Would lose
Populationpeople · Higher wins ↑
19,061,062
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
45,982
48,473
Would lose
Densityper km² · Higher wins ↑
80.0
117.3
Would lose
Highest peakm · Higher wins ↑
2,544
2,499
Would win
Coastlinekm · Higher wins ↑
225
440
Would lose
Flag coloursBlocked in Hard · colours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
45.7° N
51.9° N
Would win
16
Round 16Won26 countries · 3 lives left
GabonvsGuinea
Proximity to equator: 0.6° S vs 10.7° N from the equator · Closer wins ↓
Conquered Guinea.
Other category comparisons 2 other winning choices
All eight categories for Gabon against Guinea
Category
Gabon
Guinea
Result
Areakm² · Higher wins ↑
267,667
245,857
Would win
Populationpeople · Higher wins ↑
2,484,789
14,405,468
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
20,773
4,337
Would win
Densityper km² · Higher wins ↑
9.3
58.6
Would lose
Highest peakm · Higher wins ↑
1,050
1,752
Would lose
Coastlinekm · Higher wins ↑
885
320
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
10.7° N
Would win
17
Round 17Won27 countries · 3 lives left
KenyavsIndia
Proximity to equator: 0.4° N vs 22.4° N from the equator · Closer wins ↓
Conquered India.
Other category comparisons 0 other winning choices
All eight categories for Kenya against India
Category
Kenya
India
Result
Areakm² · Higher wins ↑
580,367
3,287,263
Would lose
Populationpeople · Higher wins ↑
55,339,003
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑
6,322
9,853
Would lose
Densityper km² · Higher wins ↑
95.4
437.5
Would lose
Highest peakm · Higher wins ↑
5,199
8,586
Would lose
Coastlinekm · Higher wins ↑
536
7,000
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.4° N
22.4° N
Would win
18
Round 18Won28 countries · 3 lives left
IrelandvsZambia
Coastline: 1,448 vs 0 km · Higher wins ↑
Conquered Zambia.
Other category comparisons 1 other winning choice
All eight categories for Ireland against Zambia
Category
Ireland
Zambia
Result
Areakm² · Higher wins ↑
70,273
752,618
Would lose
Populationpeople · Higher wins ↑
5,311,538
20,723,965
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
133,440
4,080
Would win
Densityper km² · Higher wins ↑
75.6
27.5
Would win
Highest peakm · Higher wins ↑
1,041
2,330
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,448
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
14.7° S
Would lose
19
Round 19Won29 countries · 3 lives left
LibyavsBrunei
Population: 7,305,659 vs 458,949 people · Higher wins ↑
Conquered Brunei.
Other category comparisons 2 other winning choices
All eight categories for Libya against Brunei
Category
Libya
Brunei
Result
AreaBlocked in Hard · km² · Higher wins ↑
1,759,540
5,765
Would win
Populationpeople · Higher wins ↑ · Chosen
7,305,659
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
85,103
Would lose
Densityper km² · Higher wins ↑
4.2
79.6
Would lose
Highest peakm · Higher wins ↑
2,267
1,850
Would win
Coastlinekm · Higher wins ↑
1,770
161
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
4.5° N
Would lose
20
Round 20Won30 countries · 3 lives left
NicaraguavsSouth Korea
Flag colours: 10 vs 4 colours · Higher wins ↑
Conquered South Korea.
Other category comparisons 2 other winning choices
All eight categories for Nicaragua against South Korea
Category
Nicaragua
South Korea
Result
Areakm² · Higher wins ↑
130,370
99,720
Would win
Populationpeople · Higher wins ↑
6,823,613
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑
8,327
57,430
Would lose
Densityper km² · Higher wins ↑
52.3
518.6
Would lose
Highest peakm · Higher wins ↑
2,085
1,950
Would win
Coastlinekm · Higher wins ↑
910
2,413
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
10
4
Would win
Proximity to equatorBlocked in Hard · from the equator · Closer wins ↓
Somaliavs
Mali
Ghana
Nepal
Romania
Gabon
Kenya
Ireland
Libya
Nicaragua
Cameroon
Lithuania
Honduras
Azerbaijan
Colombia
Bolivia
Croatia
Mauritania
Peru
Tunisia
Republic of the Congo
Morocco
Trinidad and Tobago
Bahamas
Malta
Poland
Guinea
India
Zambia
Brunei
South Korea