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
Equatorial GuineavsChina
Proximity to equator: 1.6° N vs 32.5° N from the equator · Closer wins ↓
Conquered China.
Other category comparisons 1 other winning choice
All eight categories for Equatorial Guinea against China
Category
Equatorial Guinea
China
Result
Areakm² · Higher wins ↑
28,051
9,596,960
Would lose
Populationpeople · Higher wins ↑
1,847,549
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
25,200
Would lose
Densityper km² · Higher wins ↑
65.9
147.0
Would lose
Highest peakm · Higher wins ↑
3,008
8,849
Would lose
Coastlinekm · Higher wins ↑
296
14,500
Would lose
Flag colourscolours · Higher wins ↑
8
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
32.5° N
Would win
2
Round 2Won14 countries · 4 lives left
CzechiavsTrinidad and Tobago
Wealth per person: 56,062 vs 34,652 int’l $ · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 3 other winning choices
All eight categories for Czechia against Trinidad and Tobago
Category
Czechia
Trinidad and Tobago
Result
Areakm² · Higher wins ↑
78,867
5,128
Would win
Populationpeople · Higher wins ↑
10,864,042
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
34,652
Would win
Densityper km² · Higher wins ↑
137.8
266.7
Would lose
Highest peakm · Higher wins ↑
1,602
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 ↓
49.8° N
10.3° N
Would lose
3
Round 3Won15 countries · 4 lives left
UzbekistanvsNorway
Highest peak: 4,643 vs 2,469 m · Higher wins ↑
Conquered Norway.
Other category comparisons 5 other winning choices
All eight categories for Uzbekistan against Norway
Category
Uzbekistan
Norway
Result
Areakm² · Higher wins ↑
447,400
323,802
Would win
Populationpeople · Higher wins ↑
35,652,307
5,519,601
Would win
Wealth per personint’l $ · Higher wins ↑
11,679
107,768
Would lose
Densityper km² · Higher wins ↑
79.7
17.0
Would win
Highest peakm · Higher wins ↑ · Chosen
4,643
2,469
Would win
Coastlinekm · Higher wins ↑
0
25,148
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
61.5° N
Would win
4
Round 4Won16 countries · 4 lives left
RwandavsMoldova
Density: 529.8 vs 72.6 per km² · Higher wins ↑
Conquered Moldova.
Other category comparisons 3 other winning choices
All eight categories for Rwanda against Moldova
Category
Rwanda
Moldova
Result
Areakm² · Higher wins ↑
26,338
33,851
Would lose
Populationpeople · Higher wins ↑
13,954,471
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
3,519
17,751
Would lose
Densityper km² · Higher wins ↑ · Chosen
529.8
72.6
Would win
Highest peakm · Higher wins ↑
4,519
430
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.8° S
47.5° N
Would win
5
Round 5Won17 countries · 4 lives left
HaitivsVietnam
Density: 419.4 vs 303.0 per km² · Higher wins ↑
Conquered Vietnam.
Other category comparisons 2 other winning choices
All eight categories for Haiti against Vietnam
Category
Haiti
Vietnam
Result
Areakm² · Higher wins ↑
27,750
331,210
Would lose
Populationpeople · Higher wins ↑
11,637,398
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑
3,265
15,034
Would lose
Densityper km² · Higher wins ↑ · Chosen
419.4
303.0
Would win
Highest peakm · Higher wins ↑
2,674
3,144
Would lose
Coastlinekm · Higher wins ↑
1,771
3,444
Would lose
Flag colourscolours · Higher wins ↑
7
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.2° N
21.7° N
Would win
6
Round 6Won18 countries · 4 lives left
LibyavsMorocco
Area: 1,759,540 vs 446,550 km² · Higher wins ↑
Conquered Morocco.
Other category comparisons 3 other winning choices
All eight categories for Libya against Morocco
Category
Libya
Morocco
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
446,550
Would win
Populationpeople · Higher wins ↑
7,305,659
37,712,505
Would lose
Wealth per personint’l $ · Higher wins ↑
13,858
9,903
Would win
Densityper km² · Higher wins ↑
4.2
84.5
Would lose
Highest peakm · Higher wins ↑
2,267
4,165
Would lose
Coastlinekm · Higher wins ↑
1,770
1,835
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
31.9° N
Would win
7
Round 7Won19 countries · 4 lives left
AzerbaijanvsThailand
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Thailand.
Other category comparisons 2 other winning choices
All eight categories for Azerbaijan against Thailand
Category
Azerbaijan
Thailand
Result
Areakm² · Higher wins ↑
86,600
513,120
Would lose
Populationpeople · Higher wins ↑
10,153,958
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑
23,671
23,598
Would win
Densityper km² · Higher wins ↑
117.3
139.7
Would lose
Highest peakm · Higher wins ↑
4,466
2,565
Would win
Coastlinekm · Higher wins ↑
0
3,219
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
15.5° N
Would lose
8
Round 8Won20 countries · 4 lives left
MalivsColombia
Area: 1,240,192 vs 1,138,910 km² · Higher wins ↑
Conquered Colombia.
Other category comparisons 0 other winning choices
All eight categories for Mali against Colombia
Category
Mali
Colombia
Result
Areakm² · Higher wins ↑ · Chosen
1,240,192
1,138,910
Would win
Populationpeople · Higher wins ↑
23,769,127
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑
3,178
21,282
Would lose
Densityper km² · Higher wins ↑
19.2
45.9
Would lose
Highest peakm · Higher wins ↑
1,155
5,730
Would lose
Coastlinekm · Higher wins ↑
0
3,208
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
18.6° N
3.4° N
Would lose
9
Round 9Won21 countries · 4 lives left
GuyanavsBurundi
Wealth per person: 54,774 vs 1,147 int’l $ · Higher wins ↑
Conquered Burundi.
Other category comparisons 5 other winning choices
All eight categories for Guyana against Burundi
Category
Guyana
Burundi
Result
Areakm² · Higher wins ↑
214,969
27,830
Would win
Populationpeople · Higher wins ↑
826,353
13,689,450
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,774
1,147
Would win
Densityper km² · Higher wins ↑
3.8
491.9
Would lose
Highest peakm · Higher wins ↑
2,775
2,685
Would win
Coastlinekm · Higher wins ↑
459
0
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.7° N
3.4° S
Would win
10
Round 10Won22 countries · 4 lives left
LithuaniavsSingapore
Area: 65,300 vs 719 km² · Higher wins ↑
Conquered Singapore.
Other category comparisons 2 other winning choices
All eight categories for Lithuania against Singapore
Category
Lithuania
Singapore
Result
Areakm² · Higher wins ↑ · Chosen
65,300
719
Would win
Populationpeople · Higher wins ↑
2,871,585
5,917,648
Would lose
Wealth per personint’l $ · Higher wins ↑
52,720
144,728
Would lose
Densityper km² · Higher wins ↑
44.0
8,230.4
Would lose
Highest peakm · Higher wins ↑
294
166
Would win
Coastlinekm · Higher wins ↑
90
193
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
1.4° N
Would lose
11
Round 11Won23 countries · 4 lives left
NamibiavsKyrgyzstan
Proximity to equator: 20.6° S vs 41.7° N from the equator · Closer wins ↓
Conquered Kyrgyzstan.
Other category comparisons 4 other winning choices
All eight categories for Namibia against Kyrgyzstan
Category
Namibia
Kyrgyzstan
Result
Areakm² · Higher wins ↑
824,292
199,951
Would win
Populationpeople · Higher wins ↑
2,963,095
7,099,750
Would lose
Wealth per personint’l $ · Higher wins ↑
11,248
7,304
Would win
Densityper km² · Higher wins ↑
3.6
35.5
Would lose
Highest peakm · Higher wins ↑
2,573
7,439
Would lose
Coastlinekm · Higher wins ↑
1,572
0
Would win
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
20.6° S
41.7° N
Would win
12
Round 12Won24 countries · 4 lives left
SudanvsComoros
Area: 1,861,484 vs 2,235 km² · Higher wins ↑
Conquered Comoros.
Other category comparisons 3 other winning choices
All eight categories for Sudan against Comoros
Category
Sudan
Comoros
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
2,235
Would win
Populationpeople · Higher wins ↑
50,042,791
850,387
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
3,897
Would lose
Densityper km² · Higher wins ↑
26.9
380.5
Would lose
Highest peakm · Higher wins ↑
3,042
2,360
Would win
Coastlinekm · Higher wins ↑
853
340
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
11.7° S
Would lose
13
Round 13Won25 countries · 4 lives left
Equatorial GuineavsSwitzerland
Proximity to equator: 1.6° N vs 46.7° N from the equator · Closer wins ↓
Conquered Switzerland.
Other category comparisons 2 other winning choices
All eight categories for Equatorial Guinea against Switzerland
Category
Equatorial Guinea
Switzerland
Result
Areakm² · Higher wins ↑
28,051
41,277
Would lose
Populationpeople · Higher wins ↑
1,847,549
8,888,822
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
93,940
Would lose
Densityper km² · Higher wins ↑
65.9
215.3
Would lose
Highest peakm · Higher wins ↑
3,008
4,634
Would lose
Coastlinekm · Higher wins ↑
296
0
Would win
Flag colourscolours · Higher wins ↑
8
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
46.7° N
Would win
14
Round 14Won26 countries · 4 lives left
ChinavsSenegal
Population: 1,410,710,000 vs 18,077,573 people · Higher wins ↑
Conquered Senegal.
Other category comparisons 5 other winning choices
All eight categories for China against Senegal
Category
China
Senegal
Result
Areakm² · Higher wins ↑
9,596,960
196,722
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
18,077,573
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
4,782
Would win
Densityper km² · Higher wins ↑
147.0
91.9
Would win
Highest peakm · Higher wins ↑
8,849
648
Would win
Coastlinekm · Higher wins ↑
14,500
531
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
15.2° N
Would lose
15
Round 15Won27 countries · 4 lives left
CzechiavsBulgaria
Wealth per person: 56,062 vs 38,829 int’l $ · Higher wins ↑
Conquered Bulgaria.
Other category comparisons 2 other winning choices
All eight categories for Czechia against Bulgaria
Category
Czechia
Bulgaria
Result
Areakm² · Higher wins ↑
78,867
110,879
Would lose
Populationpeople · Higher wins ↑
10,864,042
6,446,596
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
38,829
Would win
Densityper km² · Higher wins ↑
137.8
58.1
Would win
Highest peakm · Higher wins ↑
1,602
2,925
Would lose
Coastlinekm · Higher wins ↑
0
354
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
42.5° N
Would lose
16
Round 16Won28 countries · 4 lives left
Trinidad and TobagovsIraq
Wealth per person: 34,652 vs 14,665 int’l $ · Higher wins ↑
Conquered Iraq.
Other category comparisons 3 other winning choices
All eight categories for Trinidad and Tobago against Iraq
Category
Trinidad and Tobago
Iraq
Result
Areakm² · Higher wins ↑
5,128
438,317
Would lose
Populationpeople · Higher wins ↑
1,367,510
45,074,049
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
34,652
14,665
Would win
Densityper km² · Higher wins ↑
266.7
102.8
Would win
Highest peakm · Higher wins ↑
940
3,611
Would lose
Coastlinekm · Higher wins ↑
362
58
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.3° N
33.3° N
Would win
17
Round 17Won29 countries · 4 lives left
UzbekistanvsTanzania
Wealth per person: 11,679 vs 4,022 int’l $ · Higher wins ↑
Conquered Tanzania.
Other category comparisons 1 other winning choice
All eight categories for Uzbekistan against Tanzania
Category
Uzbekistan
Tanzania
Result
Areakm² · Higher wins ↑
447,400
947,300
Would lose
Populationpeople · Higher wins ↑
35,652,307
66,617,606
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
11,679
4,022
Would win
Densityper km² · Higher wins ↑
79.7
70.3
Would win
Highest peakm · Higher wins ↑
4,643
5,895
Would lose
Coastlinekm · Higher wins ↑
0
1,424
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
5.5° S
Would lose
18
Round 18Won30 countries · 4 lives left
NorwayvsPortugal
Wealth per person: 107,768 vs 49,800 int’l $ · Higher wins ↑
Conquered Portugal.
Other category comparisons 3 other winning choices
All eight categories for Norway against Portugal
Category
Norway
Portugal
Result
Areakm² · Higher wins ↑
323,802
92,090
Would win
Populationpeople · Higher wins ↑
5,519,601
10,578,174
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
107,768
49,800
Would win
Densityper km² · Higher wins ↑
17.0
114.9
Would lose
Highest peakm · Higher wins ↑
2,469
2,351
Would win
Coastlinekm · Higher wins ↑
25,148
1,793
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
61.5° N
40.7° N
Would lose
19
Round 19Won31 countries · 4 lives left
RwandavsNew Zealand
Density: 529.8 vs 19.3 per km² · Higher wins ↑
Conquered New Zealand.
Other category comparisons 3 other winning choices
All eight categories for Rwanda against New Zealand
Category
Rwanda
New Zealand
Result
Areakm² · Higher wins ↑
26,338
268,838
Would lose
Populationpeople · Higher wins ↑
13,954,471
5,200,000
Would win
Wealth per personint’l $ · Higher wins ↑
3,519
54,950
Would lose
Densityper km² · Higher wins ↑ · Chosen
529.8
19.3
Would win
Highest peakm · Higher wins ↑
4,519
3,724
Would win
Coastlinekm · Higher wins ↑
0
15,134
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.8° S
45.3° S
Would win
20
Round 20Won32 countries · 4 lives left
MoldovavsPapua New Guinea
Wealth per person: 17,751 vs 4,672 int’l $ · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 2 other winning choices
All eight categories for Moldova against Papua New Guinea
Category
Moldova
Papua New Guinea
Result
Areakm² · Higher wins ↑
33,851
462,840
Would lose
Populationpeople · Higher wins ↑
2,457,783
10,389,635
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,751
4,672
Would win
Densityper km² · Higher wins ↑
72.6
22.4
Would win
Highest peakm · Higher wins ↑
430
4,509
Would lose
Coastlinekm · Higher wins ↑
0
5,152
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Equatorial Guineavs
China
Czechia
Trinidad and Tobago
Uzbekistan
Norway
Rwanda
Moldova
Haiti
Vietnam
Libya
Morocco
Azerbaijan
Thailand
Mali
Colombia
Guyana
Burundi
Lithuania
Singapore
Namibia
Kyrgyzstan
Sudan
Comoros
Switzerland
Senegal
Bulgaria
Iraq
Tanzania
Portugal
New Zealand
Papua New Guinea