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
GhanavsGabon
Population: 33,787,914 vs 2,484,789 people · Higher wins ↑
Conquered Gabon.
Other category comparisons 2 other winning choices
All eight categories for Ghana against Gabon
Category
Ghana
Gabon
Result
Areakm² · Higher wins ↑
238,533
267,667
Would lose
Populationpeople · Higher wins ↑ · Chosen
33,787,914
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
20,773
Would lose
Densityper km² · Higher wins ↑
141.6
9.3
Would win
Highest peakm · Higher wins ↑
885
1,050
Would lose
Coastlinekm · Higher wins ↑
539
885
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
0.6° S
Would lose
2
Round 2Won14 countries · 4 lives left
LiberiavsAustria
Proximity to equator: 7.0° N vs 47.7° N from the equator · Closer wins ↓
Conquered Austria.
Other category comparisons 3 other winning choices
All eight categories for Liberia against Austria
Category
Liberia
Austria
Result
Areakm² · Higher wins ↑
111,369
83,871
Would win
Populationpeople · Higher wins ↑
5,493,031
9,131,761
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
74,261
Would lose
Densityper km² · Higher wins ↑
49.3
108.9
Would lose
Highest peakm · Higher wins ↑
1,447
3,798
Would lose
Coastlinekm · Higher wins ↑
579
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
47.7° N
Would win
3
Round 3Won15 countries · 4 lives left
MoroccovsTimor-Leste
Population: 37,712,505 vs 1,384,286 people · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 4 other winning choices
All eight categories for Morocco against Timor-Leste
Category
Morocco
Timor-Leste
Result
Areakm² · Higher wins ↑
446,550
14,874
Would win
Populationpeople · Higher wins ↑ · Chosen
37,712,505
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
4,811
Would win
Densityper km² · Higher wins ↑
84.5
93.1
Would lose
Highest peakm · Higher wins ↑
4,165
2,963
Would win
Coastlinekm · Higher wins ↑
1,835
706
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
8.9° S
Would lose
4
Round 4Won16 countries · 4 lives left
KuwaitvsBolivia
Wealth per person: 53,083 vs 12,903 int’l $ · Higher wins ↑
Conquered Bolivia.
Other category comparisons 2 other winning choices
All eight categories for Kuwait against Bolivia
Category
Kuwait
Bolivia
Result
Areakm² · Higher wins ↑
17,818
1,098,581
Would lose
Populationpeople · Higher wins ↑
4,853,420
12,244,159
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
53,083
12,903
Would win
Densityper km² · Higher wins ↑
272.4
11.1
Would win
Highest peakm · Higher wins ↑
300
6,542
Would lose
Coastlinekm · Higher wins ↑
499
0
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
29.4° N
16.7° S
Would lose
5
Round 5Won17 countries · 4 lives left
IsraelvsOman
Density: 449.0 vs 16.3 per km² · Higher wins ↑
Conquered Oman.
Other category comparisons 2 other winning choices
All eight categories for Israel against Oman
Category
Israel
Oman
Result
Areakm² · Higher wins ↑
21,937
309,500
Would lose
Populationpeople · Higher wins ↑
9,849,000
5,049,269
Would win
Wealth per personint’l $ · Higher wins ↑
55,301
41,980
Would win
Densityper km² · Higher wins ↑ · Chosen
449.0
16.3
Would win
Highest peakm · Higher wins ↑
2,224
3,004
Would lose
Coastlinekm · Higher wins ↑
273
2,092
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
30.9° N
22.1° N
Would lose
6
Round 6Won18 countries · 4 lives left
United KingdomvsKenya
Wealth per person: 60,787 vs 6,322 int’l $ · Higher wins ↑
Conquered Kenya.
Other category comparisons 3 other winning choices
All eight categories for United Kingdom against Kenya
Category
United Kingdom
Kenya
Result
Areakm² · Higher wins ↑
243,610
580,367
Would lose
Populationpeople · Higher wins ↑
68,526,000
55,339,003
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,787
6,322
Would win
Densityper km² · Higher wins ↑
281.3
95.4
Would win
Highest peakm · Higher wins ↑
1,345
5,199
Would lose
Coastlinekm · Higher wins ↑
12,429
536
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
0.4° N
Would lose
7
Round 7Won19 countries · 4 lives left
Guinea-BissauvsAndorra
Area: 36,125 vs 468 km² · Higher wins ↑
Conquered Andorra.
Other category comparisons 3 other winning choices
All eight categories for Guinea-Bissau against Andorra
Category
Guinea-Bissau
Andorra
Result
Areakm² · Higher wins ↑ · Chosen
36,125
468
Would win
Populationpeople · Higher wins ↑
2,153,339
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
2,956
71,790
Would lose
Densityper km² · Higher wins ↑
59.6
172.8
Would lose
Highest peakm · Higher wins ↑
277
2,946
Would lose
Coastlinekm · Higher wins ↑
350
0
Would win
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.1° N
42.5° N
Would win
8
Round 8Won20 countries · 4 lives left
LibyavsLesotho
Area: 1,759,540 vs 30,355 km² · Higher wins ↑
Conquered Lesotho.
Other category comparisons 4 other winning choices
All eight categories for Libya against Lesotho
Category
Libya
Lesotho
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
30,355
Would win
Populationpeople · Higher wins ↑
7,305,659
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
2,880
Would win
Densityper km² · Higher wins ↑
4.2
76.1
Would lose
Highest peakm · Higher wins ↑
2,267
3,482
Would lose
Coastlinekm · Higher wins ↑
1,770
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
29.4° S
Would win
9
Round 9Won21 countries · 4 lives left
BhutanvsMontenegro
Highest peak: 7,570 vs 2,534 m · Higher wins ↑
Conquered Montenegro.
Other category comparisons 3 other winning choices
All eight categories for Bhutan against Montenegro
Category
Bhutan
Montenegro
Result
Areakm² · Higher wins ↑
38,394
13,812
Would win
Populationpeople · Higher wins ↑
786,385
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
16,229
31,863
Would lose
Densityper km² · Higher wins ↑
20.5
45.1
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
2,534
Would win
Coastlinekm · Higher wins ↑
0
293.5
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
42.8° N
Would win
10
Round 10Won22 countries · 4 lives left
BelizevsAfghanistan
Flag colours: 12 vs 5 colours · Higher wins ↑
Conquered Afghanistan.
Other category comparisons 3 other winning choices
All eight categories for Belize against Afghanistan
Category
Belize
Afghanistan
Result
Areakm² · Higher wins ↑
22,966
652,230
Would lose
Populationpeople · Higher wins ↑
411,106
41,454,761
Would lose
Wealth per personint’l $ · Higher wins ↑
13,741
2,204
Would win
Densityper km² · Higher wins ↑
17.9
63.6
Would lose
Highest peakm · Higher wins ↑
1,124
7,492
Would lose
Coastlinekm · Higher wins ↑
386
0
Would win
Flag colourscolours · Higher wins ↑ · Chosen
12
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
34.3° N
Would win
11
Round 11Won23 countries · 4 lives left
NigervsQatar
Area: 1,267,000 vs 11,586 km² · Higher wins ↑
Conquered Qatar.
Other category comparisons 4 other winning choices
All eight categories for Niger against Qatar
Category
Niger
Qatar
Result
Areakm² · Higher wins ↑ · Chosen
1,267,000
11,586
Would win
Populationpeople · Higher wins ↑
26,159,867
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑
1,903
129,025
Would lose
Densityper km² · Higher wins ↑
20.6
229.2
Would lose
Highest peakm · Higher wins ↑
2,022
103
Would win
Coastlinekm · Higher wins ↑
0
563
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.6° N
25.1° N
Would win
12
Round 12Won24 countries · 4 lives left
TogovsArgentina
Proximity to equator: 8.9° N vs 31.4° S from the equator · Closer wins ↓
Conquered Argentina.
Other category comparisons 1 other winning choice
All eight categories for Togo against Argentina
Category
Togo
Argentina
Result
Areakm² · Higher wins ↑
56,785
2,780,400
Would lose
Populationpeople · Higher wins ↑
8,223,850
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
30,246
Would lose
Densityper km² · Higher wins ↑
144.8
16.4
Would win
Highest peakm · Higher wins ↑
986
6,962
Would lose
Coastlinekm · Higher wins ↑
56
4,989
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° N
31.4° S
Would win
13
Round 13Won25 countries · 4 lives left
GhanavsAlgeria
Density: 141.6 vs 19.4 per km² · Higher wins ↑
Conquered Algeria.
Other category comparisons 2 other winning choices
All eight categories for Ghana against Algeria
Category
Ghana
Algeria
Result
Areakm² · Higher wins ↑
238,533
2,381,740
Would lose
Populationpeople · Higher wins ↑
33,787,914
46,164,219
Would lose
Wealth per personint’l $ · Higher wins ↑
7,563
16,838
Would lose
Densityper km² · Higher wins ↑ · Chosen
141.6
19.4
Would win
Highest peakm · Higher wins ↑
885
2,908
Would lose
Coastlinekm · Higher wins ↑
539
998
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
27.4° N
Would win
14
Round 14Won26 countries · 4 lives left
GabonvsIreland
Proximity to equator: 0.6° S vs 53.1° N from the equator · Closer wins ↓
Conquered Ireland.
Other category comparisons 2 other winning choices
All eight categories for Gabon against Ireland
Category
Gabon
Ireland
Result
Areakm² · Higher wins ↑
267,667
70,273
Would win
Populationpeople · Higher wins ↑
2,484,789
5,311,538
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
133,440
Would lose
Densityper km² · Higher wins ↑
9.3
75.6
Would lose
Highest peakm · Higher wins ↑
1,050
1,041
Would win
Coastlinekm · Higher wins ↑
885
1,448
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
53.1° N
Would win
15
Round 15Won27 countries · 4 lives left
LiberiavsBelgium
Proximity to equator: 7.0° N vs 50.8° N from the equator · Closer wins ↓
Conquered Belgium.
Other category comparisons 3 other winning choices
All eight categories for Liberia against Belgium
Category
Liberia
Belgium
Result
Areakm² · Higher wins ↑
111,369
30,528
Would win
Populationpeople · Higher wins ↑
5,493,031
11,779,946
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
72,630
Would lose
Densityper km² · Higher wins ↑
49.3
385.9
Would lose
Highest peakm · Higher wins ↑
1,447
694
Would win
Coastlinekm · Higher wins ↑
579
66.5
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
50.8° N
Would win
16
Round 16Won28 countries · 4 lives left
AustriavsNigeria
Wealth per person: 74,261 vs 8,712 int’l $ · Higher wins ↑
Conquered Nigeria.
Other category comparisons 1 other winning choice
All eight categories for Austria against Nigeria
Category
Austria
Nigeria
Result
Areakm² · Higher wins ↑
83,871
923,768
Would lose
Populationpeople · Higher wins ↑
9,131,761
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
74,261
8,712
Would win
Densityper km² · Higher wins ↑
108.9
246.7
Would lose
Highest peakm · Higher wins ↑
3,798
2,419
Would win
Coastlinekm · Higher wins ↑
0
853
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
9.4° N
Would lose
17
Round 17Won29 countries · 4 lives left
MoroccovsNamibia
Population: 37,712,505 vs 2,963,095 people · Higher wins ↑
Conquered Namibia.
Other category comparisons 3 other winning choices
All eight categories for Morocco against Namibia
Category
Morocco
Namibia
Result
Areakm² · Higher wins ↑
446,550
824,292
Would lose
Populationpeople · Higher wins ↑ · Chosen
37,712,505
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
11,248
Would lose
Densityper km² · Higher wins ↑
84.5
3.6
Would win
Highest peakm · Higher wins ↑
4,165
2,573
Would win
Coastlinekm · Higher wins ↑
1,835
1,572
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
20.6° S
Would lose
18
Round 18Won30 countries · 4 lives left
Timor-LestevsMongolia
Proximity to equator: 8.9° S vs 46.0° N from the equator · Closer wins ↓
Conquered Mongolia.
Other category comparisons 3 other winning choices
All eight categories for Timor-Leste against Mongolia
Category
Timor-Leste
Mongolia
Result
Areakm² · Higher wins ↑
14,874
1,564,116
Would lose
Populationpeople · Higher wins ↑
1,384,286
3,481,145
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
18,020
Would lose
Densityper km² · Higher wins ↑
93.1
2.2
Would win
Highest peakm · Higher wins ↑
2,963
4,374
Would lose
Coastlinekm · Higher wins ↑
706
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° S
46.0° N
Would win
19
Round 19Won31 countries · 4 lives left
KuwaitvsGeorgia
Density: 272.4 vs 53.3 per km² · Higher wins ↑
Conquered Georgia.
Other category comparisons 5 other winning choices
All eight categories for Kuwait against Georgia
Category
Kuwait
Georgia
Result
Areakm² · Higher wins ↑
17,818
69,700
Would lose
Populationpeople · Higher wins ↑
4,853,420
3,715,483
Would win
Wealth per personint’l $ · Higher wins ↑
53,083
25,093
Would win
Densityper km² · Higher wins ↑ · Chosen
272.4
53.3
Would win
Highest peakm · Higher wins ↑
300
5,193
Would lose
Coastlinekm · Higher wins ↑
499
310
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.4° N
42.4° N
Would win
20
Round 20Won32 countries · 4 lives left
BoliviavsEritrea
Population: 12,244,159 vs 3,470,390 people · Higher wins ↑
Conquered Eritrea.
Other category comparisons 3 other winning choices
All eight categories for Bolivia against Eritrea
Category
Bolivia
Eritrea
Result
Areakm² · Higher wins ↑
1,098,581
117,600
Would win
Populationpeople · Higher wins ↑ · Chosen
12,244,159
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
12,903
Unavailable
Unavailable
Densityper km² · Higher wins ↑
11.1
29.5
Would lose
Highest peakm · Higher wins ↑
6,542
3,018
Would win
Coastlinekm · Higher wins ↑
0
2,234
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓