Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
21
Round 21Won33 countries · 4 lives left
HaitivsCabo Verde
Area: 27,750 vs 4,033 km² · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 4 other winning choices
All eight categories for Haiti against Cabo Verde
Category
Haiti
Cabo Verde
Result
Areakm² · Higher wins ↑ · Chosen
27,750
4,033
Would win
Populationpeople · Higher wins ↑
11,637,398
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
3,265
10,251
Would lose
Densityper km² · Higher wins ↑
419.4
129.5
Would win
Highest peakm · Higher wins ↑
2,674
2,829
Would lose
Coastlinekm · Higher wins ↑
1,771
965
Would win
Flag colourscolours · Higher wins ↑
7
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.2° N
15.0° N
Would lose
22
Round 22Won34 countries · 4 lives left
VietnamvsBrunei
Population: 100,352,192 vs 458,949 people · Higher wins ↑
Conquered Brunei.
Other category comparisons 4 other winning choices
All eight categories for Vietnam against Brunei
Category
Vietnam
Brunei
Result
Areakm² · Higher wins ↑
331,210
5,765
Would win
Populationpeople · Higher wins ↑ · Chosen
100,352,192
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
85,103
Would lose
Densityper km² · Higher wins ↑
303.0
79.6
Would win
Highest peakm · Higher wins ↑
3,144
1,850
Would win
Coastlinekm · Higher wins ↑
3,444
161
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
4.5° N
Would lose
23
Round 23Won35 countries · 4 lives left
LibyavsChad
Wealth per person: 13,858 vs 2,703 int’l $ · Higher wins ↑
Conquered Chad.
Other category comparisons 3 other winning choices
All eight categories for Libya against Chad
Category
Libya
Chad
Result
Areakm² · Higher wins ↑
1,759,540
1,284,000
Would win
Populationpeople · Higher wins ↑
7,305,659
19,319,064
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
13,858
2,703
Would win
Densityper km² · Higher wins ↑
4.2
15.0
Would lose
Highest peakm · Higher wins ↑
2,267
3,445
Would lose
Coastlinekm · Higher wins ↑
1,770
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
17.3° N
Would lose
24
Round 24Won36 countries · 4 lives left
MoroccovsGeorgia
Area: 446,550 vs 69,700 km² · Higher wins ↑
Conquered Georgia.
Other category comparisons 4 other winning choices
All eight categories for Morocco against Georgia
Category
Morocco
Georgia
Result
Areakm² · Higher wins ↑ · Chosen
446,550
69,700
Would win
Populationpeople · Higher wins ↑
37,712,505
3,715,483
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
25,093
Would lose
Densityper km² · Higher wins ↑
84.5
53.3
Would win
Highest peakm · Higher wins ↑
4,165
5,193
Would lose
Coastlinekm · Higher wins ↑
1,835
310
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
42.4° N
Would win
25
Round 25Won37 countries · 4 lives left
AzerbaijanvsCanada
Density: 117.3 vs 4.0 per km² · Higher wins ↑
Conquered Canada.
Other category comparisons 2 other winning choices
All eight categories for Azerbaijan against Canada
Category
Azerbaijan
Canada
Result
Areakm² · Higher wins ↑
86,600
9,984,670
Would lose
Populationpeople · Higher wins ↑
10,153,958
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
23,671
64,962
Would lose
Densityper km² · Higher wins ↑ · Chosen
117.3
4.0
Would win
Highest peakm · Higher wins ↑
4,466
5,959
Would lose
Coastlinekm · Higher wins ↑
0
202,080
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
58.8° N
Would win
26
Round 26Won38 countries · 4 lives left
ThailandvsPanama
Population: 71,702,435 vs 4,458,759 people · Higher wins ↑
Conquered Panama.
Other category comparisons 3 other winning choices
All eight categories for Thailand against Panama
Category
Thailand
Panama
Result
Areakm² · Higher wins ↑
513,120
75,420
Would win
Populationpeople · Higher wins ↑ · Chosen
71,702,435
4,458,759
Would win
Wealth per personint’l $ · Higher wins ↑
23,598
39,846
Would lose
Densityper km² · Higher wins ↑
139.7
59.1
Would win
Highest peakm · Higher wins ↑
2,565
3,475
Would lose
Coastlinekm · Higher wins ↑
3,219
2,490
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
8.4° N
Would lose
27
Round 27Won39 countries · 4 lives left
MalivsDominican Republic
Area: 1,240,192 vs 48,670 km² · Higher wins ↑
Conquered Dominican Republic.
Other category comparisons 2 other winning choices
All eight categories for Mali against Dominican Republic
Category
Mali
Dominican Republic
Result
Areakm² · Higher wins ↑ · Chosen
1,240,192
48,670
Would win
Populationpeople · Higher wins ↑
23,769,127
11,331,265
Would win
Wealth per personint’l $ · Higher wins ↑
3,178
25,861
Would lose
Densityper km² · Higher wins ↑
19.2
232.8
Would lose
Highest peakm · Higher wins ↑
1,155
3,098
Would lose
Coastlinekm · Higher wins ↑
0
1,288
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
18.6° N
19.1° N
Would win
28
Round 28Won40 countries · 4 lives left
ColombiavsParaguay
Population: 52,321,152 vs 6,844,146 people · Higher wins ↑
Conquered Paraguay.
Other category comparisons 6 other winning choices
All eight categories for Colombia against Paraguay
Category
Colombia
Paraguay
Result
Areakm² · Higher wins ↑
1,138,910
406,752
Would win
Populationpeople · Higher wins ↑ · Chosen
52,321,152
6,844,146
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
17,585
Would win
Densityper km² · Higher wins ↑
45.9
16.8
Would win
Highest peakm · Higher wins ↑
5,730
842
Would win
Coastlinekm · Higher wins ↑
3,208
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
21.6° S
Would win
29
Round 29Won41 countries · 4 lives left
GuyanavsGuinea-Bissau
Wealth per person: 54,774 vs 2,956 int’l $ · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 5 other winning choices
All eight categories for Guyana against Guinea-Bissau
Category
Guyana
Guinea-Bissau
Result
Areakm² · Higher wins ↑
214,969
36,125
Would win
Populationpeople · Higher wins ↑
826,353
2,153,339
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,774
2,956
Would win
Densityper km² · Higher wins ↑
3.8
59.6
Would lose
Highest peakm · Higher wins ↑
2,775
277
Would win
Coastlinekm · Higher wins ↑
459
350
Would win
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.7° N
12.1° N
Would win
30
Round 30Won42 countries · 4 lives left
BurundivsSlovenia
Density: 491.9 vs 104.6 per km² · Higher wins ↑
Conquered Slovenia.
Other category comparisons 3 other winning choices
All eight categories for Burundi against Slovenia
Category
Burundi
Slovenia
Result
Areakm² · Higher wins ↑
27,830
20,273
Would win
Populationpeople · Higher wins ↑
13,689,450
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
56,151
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
104.6
Would win
Highest peakm · Higher wins ↑
2,685
2,864
Would lose
Coastlinekm · Higher wins ↑
0
46.6
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
46.0° N
Would win
31
Round 31Won43 countries · 4 lives left
LithuaniavsCambodia
Wealth per person: 52,720 vs 7,437 int’l $ · Higher wins ↑
Conquered Cambodia.
Other category comparisons 0 other winning choices
All eight categories for Lithuania against Cambodia
Category
Lithuania
Cambodia
Result
Areakm² · Higher wins ↑
65,300
181,035
Would lose
Populationpeople · Higher wins ↑
2,871,585
17,423,880
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
7,437
Would win
Densityper km² · Higher wins ↑
44.0
96.2
Would lose
Highest peakm · Higher wins ↑
294
1,810
Would lose
Coastlinekm · Higher wins ↑
90
443
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
12.6° N
Would lose
32
Round 32Won44 countries · 4 lives left
SingaporevsZimbabwe
Density: 8,230.4 vs 41.8 per km² · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 3 other winning choices
All eight categories for Singapore against Zimbabwe
Category
Singapore
Zimbabwe
Result
Areakm² · Higher wins ↑
719
390,757
Would lose
Populationpeople · Higher wins ↑
5,917,648
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
5,796
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
41.8
Would win
Highest peakm · Higher wins ↑
166
2,592
Would lose
Coastlinekm · Higher wins ↑
193
0
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
19.0° S
Would win
33
Round 33Won45 countries · 4 lives left
NamibiavsSpain
Area: 824,292 vs 505,370 km² · Higher wins ↑
Conquered Spain.
Other category comparisons 1 other winning choice
All eight categories for Namibia against Spain
Category
Namibia
Spain
Result
Areakm² · Higher wins ↑ · Chosen
824,292
505,370
Would win
Populationpeople · Higher wins ↑
2,963,095
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑
11,248
55,661
Would lose
Densityper km² · Higher wins ↑
3.6
95.7
Would lose
Highest peakm · Higher wins ↑
2,573
3,718
Would lose
Coastlinekm · Higher wins ↑
1,572
4,964
Would lose
Flag colourscolours · Higher wins ↑
5
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
20.6° S
40.0° N
Would win
34
Round 34Won46 countries · 4 lives left
KyrgyzstanvsTürkiye
Highest peak: 7,439 vs 5,137 m · Higher wins ↑
Conquered Türkiye.
Other category comparisons 0 other winning choices
All eight categories for Kyrgyzstan against Türkiye
Category
Kyrgyzstan
Türkiye
Result
Areakm² · Higher wins ↑
199,951
783,562
Would lose
Populationpeople · Higher wins ↑
7,099,750
85,325,965
Would lose
Wealth per personint’l $ · Higher wins ↑
7,304
43,196
Would lose
Densityper km² · Higher wins ↑
35.5
108.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,439
5,137
Would win
Coastlinekm · Higher wins ↑
0
7,200
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
41.7° N
39.1° N
Would lose
35
Round 35Won47 countries · 4 lives left
SudanvsPalestine
Area: 1,861,484 vs 6,220 km² · Higher wins ↑
Conquered Palestine.
Other category comparisons 4 other winning choices
All eight categories for Sudan against Palestine
Category
Sudan
Palestine
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
6,220
Would win
Populationpeople · Higher wins ↑
50,042,791
5,165,775
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
6,179
Would lose
Densityper km² · Higher wins ↑
26.9
830.5
Would lose
Highest peakm · Higher wins ↑
3,042
1,020
Would win
Coastlinekm · Higher wins ↑
853
40
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
32.1° N
Would win
36
Round 36Lost46 countries · 3 lives left
ComorosvsPhilippines
Density: 380.5 vs 383.0 per km² · Higher wins ↑
Returned to the world: Comoros.
Other category comparisons 2 other winning choices
All eight categories for Comoros against Philippines
Category
Comoros
Philippines
Result
Areakm² · Higher wins ↑
2,235
300,000
Would lose
Populationpeople · Higher wins ↑
850,387
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑
3,897
10,995
Would lose
Densityper km² · Higher wins ↑ · Chosen
380.5
383.0
Would lose
Highest peakm · Higher wins ↑
2,360
2,954
Would lose
Coastlinekm · Higher wins ↑
340
36,289
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.7° S
17.0° N
Would win
37
Round 37Won47 countries · 3 lives left
Equatorial GuineavsPakistan
Proximity to equator: 1.6° N vs 27.8° N from the equator · Closer wins ↓
Conquered Pakistan.
Other category comparisons 2 other winning choices
All eight categories for Equatorial Guinea against Pakistan
Category
Equatorial Guinea
Pakistan
Result
Areakm² · Higher wins ↑
28,051
796,095
Would lose
Populationpeople · Higher wins ↑
1,847,549
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
6,019
Would win
Densityper km² · Higher wins ↑
65.9
310.9
Would lose
Highest peakm · Higher wins ↑
3,008
8,611
Would lose
Coastlinekm · Higher wins ↑
296
1,046
Would lose
Flag colourscolours · Higher wins ↑
8
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
27.8° N
Would win
38
Round 38Won48 countries · 3 lives left
SwitzerlandvsUruguay
Wealth per person: 93,940 vs 34,546 int’l $ · Higher wins ↑
Conquered Uruguay.
Other category comparisons 3 other winning choices
All eight categories for Switzerland against Uruguay
Category
Switzerland
Uruguay
Result
Areakm² · Higher wins ↑
41,277
176,215
Would lose
Populationpeople · Higher wins ↑
8,888,822
3,388,081
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
34,546
Would win
Densityper km² · Higher wins ↑
215.3
19.2
Would win
Highest peakm · Higher wins ↑
4,634
514
Would win
Coastlinekm · Higher wins ↑
0
660
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
32.9° S
Would lose
39
Round 39Lost47 countries · 2 lives left
ChinavsRepublic of the Congo
Proximity to equator: 32.5° N vs 0.1° N from the equator · Closer wins ↓
Returned to the world: China.
Other category comparisons 6 other winning choices
All eight categories for China against Republic of the Congo
Category
China
Republic of the Congo
Result
Areakm² · Higher wins ↑
9,596,960
342,000
Would win
Populationpeople · Higher wins ↑
1,410,710,000
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
6,856
Would win
Densityper km² · Higher wins ↑
147.0
18.1
Would win
Highest peakm · Higher wins ↑
8,849
1,020
Would win
Coastlinekm · Higher wins ↑
14,500
169
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Haitivs
Cabo Verde
Vietnam
Brunei
Libya
Chad
Morocco
Georgia
Azerbaijan
Canada
Thailand
Panama
Mali
Dominican Republic
Colombia
Paraguay
Guyana
Guinea-Bissau
Burundi
Slovenia
Lithuania
Cambodia
Singapore
Zimbabwe
Namibia
Spain
Kyrgyzstan
Türkiye
Sudan
Palestine
Comoros
Philippines
Equatorial Guinea
Pakistan
Switzerland
Uruguay
China
Republic of the Congo