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
VanuatuvsSlovenia
Coastline: 2,528 vs 46.6 km · Higher wins ↑
Conquered Slovenia.
Other category comparisons 1 other winning choice
All eight categories for Vanuatu against Slovenia
Category
Vanuatu
Slovenia
Result
Areakm² · Higher wins ↑
12,189
20,273
Would lose
Populationpeople · Higher wins ↑
320,409
2,120,461
Would lose
Wealth per personint’l $ · Higher wins ↑
4,202
56,151
Would lose
Densityper km² · Higher wins ↑
26.3
104.6
Would lose
Highest peakm · Higher wins ↑
1,877
2,864
Would lose
Coastlinekm · Higher wins ↑ · Chosen
2,528
46.6
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.4° S
46.0° N
Would win
22
Round 22Won34 countries · 4 lives left
MalawivsZimbabwe
Proximity to equator: 13.4° S vs 19.0° S from the equator · Closer wins ↓
Conquered Zimbabwe.
Other category comparisons 3 other winning choices
All eight categories for Malawi against Zimbabwe
Category
Malawi
Zimbabwe
Result
Areakm² · Higher wins ↑
118,484
390,757
Would lose
Populationpeople · Higher wins ↑
21,104,482
16,340,822
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
5,796
Would lose
Densityper km² · Higher wins ↑
178.1
41.8
Would win
Highest peakm · Higher wins ↑
3,002
2,592
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.4° S
19.0° S
Would win
23
Round 23Won35 countries · 4 lives left
GermanyvsItaly
Population: 83,287,273 vs 58,984,216 people · Higher wins ↑
Conquered Italy.
Other category comparisons 3 other winning choices
All eight categories for Germany against Italy
Category
Germany
Italy
Result
Areakm² · Higher wins ↑
357,022
301,340
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
58,984,216
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
60,350
Would win
Densityper km² · Higher wins ↑
233.3
195.7
Would win
Highest peakm · Higher wins ↑
2,963
4,748
Would lose
Coastlinekm · Higher wins ↑
2,389
7,600
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
45.1° N
Would lose
24
Round 24Won36 countries · 4 lives left
Saudi ArabiavsSuriname
Population: 33,702,731 vs 628,886 people · Higher wins ↑
Conquered Suriname.
Other category comparisons 5 other winning choices
All eight categories for Saudi Arabia against Suriname
Category
Saudi Arabia
Suriname
Result
Areakm² · Higher wins ↑
2,149,690
163,820
Would win
Populationpeople · Higher wins ↑ · Chosen
33,702,731
628,886
Would win
Wealth per personint’l $ · Higher wins ↑
71,624
21,128
Would win
Densityper km² · Higher wins ↑
15.7
3.8
Would win
Highest peakm · Higher wins ↑
3,000
1,230
Would win
Coastlinekm · Higher wins ↑
2,640
386
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
4.1° N
Would lose
25
Round 25Won37 countries · 4 lives left
UzbekistanvsHonduras
Population: 35,652,307 vs 10,644,851 people · Higher wins ↑
Conquered Honduras.
Other category comparisons 4 other winning choices
All eight categories for Uzbekistan against Honduras
Category
Uzbekistan
Honduras
Result
Areakm² · Higher wins ↑
447,400
112,090
Would win
Populationpeople · Higher wins ↑ · Chosen
35,652,307
10,644,851
Would win
Wealth per personint’l $ · Higher wins ↑
11,679
7,184
Would win
Densityper km² · Higher wins ↑
79.7
95.0
Would lose
Highest peakm · Higher wins ↑
4,643
2,870
Would win
Coastlinekm · Higher wins ↑
0
823
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
14.7° N
Would lose
26
Round 26Won38 countries · 4 lives left
VietnamvsGabon
Population: 100,352,192 vs 2,484,789 people · Higher wins ↑
Conquered Gabon.
Other category comparisons 4 other winning choices
All eight categories for Vietnam against Gabon
Category
Vietnam
Gabon
Result
Areakm² · Higher wins ↑
331,210
267,667
Would win
Populationpeople · Higher wins ↑ · Chosen
100,352,192
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
20,773
Would lose
Densityper km² · Higher wins ↑
303.0
9.3
Would win
Highest peakm · Higher wins ↑
3,144
1,050
Would win
Coastlinekm · Higher wins ↑
3,444
885
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
0.6° S
Would lose
27
Round 27Won39 countries · 4 lives left
DjiboutivsCôte d’Ivoire
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 1 other winning choice
All eight categories for Djibouti against Côte d’Ivoire
Category
Djibouti
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
23,200
322,463
Would lose
Populationpeople · Higher wins ↑
1,152,944
31,165,654
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
7,243
Would lose
Densityper km² · Higher wins ↑
49.7
96.6
Would lose
Highest peakm · Higher wins ↑
2,021
1,752
Would win
Coastlinekm · Higher wins ↑
314
515
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.4° N
7.5° N
Would lose
28
Round 28Won40 countries · 4 lives left
South KoreavsAndorra
Population: 51,712,619 vs 80,856 people · Higher wins ↑
Conquered Andorra.
Other category comparisons 4 other winning choices
All eight categories for South Korea against Andorra
Category
South Korea
Andorra
Result
Areakm² · Higher wins ↑
99,720
468
Would win
Populationpeople · Higher wins ↑ · Chosen
51,712,619
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
57,430
71,790
Would lose
Densityper km² · Higher wins ↑
518.6
172.8
Would win
Highest peakm · Higher wins ↑
1,950
2,946
Would lose
Coastlinekm · Higher wins ↑
2,413
0
Would win
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
42.5° N
Would win
29
Round 29Won41 countries · 4 lives left
ComorosvsUruguay
Density: 380.5 vs 19.2 per km² · Higher wins ↑
Conquered Uruguay.
Other category comparisons 3 other winning choices
All eight categories for Comoros against Uruguay
Category
Comoros
Uruguay
Result
Areakm² · Higher wins ↑
2,235
176,215
Would lose
Populationpeople · Higher wins ↑
850,387
3,388,081
Would lose
Wealth per personint’l $ · Higher wins ↑
3,897
34,546
Would lose
Densityper km² · Higher wins ↑ · Chosen
380.5
19.2
Would win
Highest peakm · Higher wins ↑
2,360
514
Would win
Coastlinekm · Higher wins ↑
340
660
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.7° S
32.9° S
Would win
30
Round 30Won42 countries · 4 lives left
BulgariavsMorocco
Wealth per person: 38,829 vs 9,903 int’l $ · Higher wins ↑
Conquered Morocco.
Other category comparisons 1 other winning choice
All eight categories for Bulgaria against Morocco
Category
Bulgaria
Morocco
Result
Areakm² · Higher wins ↑
110,879
446,550
Would lose
Populationpeople · Higher wins ↑
6,446,596
37,712,505
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
38,829
9,903
Would win
Densityper km² · Higher wins ↑
58.1
84.5
Would lose
Highest peakm · Higher wins ↑
2,925
4,165
Would lose
Coastlinekm · Higher wins ↑
354
1,835
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
31.9° N
Would lose
31
Round 31Won43 countries · 4 lives left
ChilevsBolivia
Coastline: 6,435 vs 0 km · Higher wins ↑
Conquered Bolivia.
Other category comparisons 4 other winning choices
All eight categories for Chile against Bolivia
Category
Chile
Bolivia
Result
Areakm² · Higher wins ↑
756,102
1,098,581
Would lose
Populationpeople · Higher wins ↑
19,658,835
12,244,159
Would win
Wealth per personint’l $ · Higher wins ↑
33,174
12,903
Would win
Densityper km² · Higher wins ↑
26.0
11.1
Would win
Highest peakm · Higher wins ↑
6,893
6,542
Would win
Coastlinekm · Higher wins ↑ · Chosen
6,435
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
16.7° S
Would lose
32
Round 32Won44 countries · 4 lives left
ZambiavsPakistan
Proximity to equator: 14.7° S vs 27.8° N from the equator · Closer wins ↓
Conquered Pakistan.
Other category comparisons 1 other winning choice
All eight categories for Zambia against Pakistan
Category
Zambia
Pakistan
Result
Areakm² · Higher wins ↑
752,618
796,095
Would lose
Populationpeople · Higher wins ↑
20,723,965
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑
4,080
6,019
Would lose
Densityper km² · Higher wins ↑
27.5
310.9
Would lose
Highest peakm · Higher wins ↑
2,330
8,611
Would lose
Coastlinekm · Higher wins ↑
0
1,046
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.7° S
27.8° N
Would win
33
Round 33Won45 countries · 4 lives left
TanzaniavsKyrgyzstan
Population: 66,617,606 vs 7,099,750 people · Higher wins ↑
Conquered Kyrgyzstan.
Other category comparisons 5 other winning choices
All eight categories for Tanzania against Kyrgyzstan
Category
Tanzania
Kyrgyzstan
Result
Areakm² · Higher wins ↑
947,300
199,951
Would win
Populationpeople · Higher wins ↑ · Chosen
66,617,606
7,099,750
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
7,304
Would lose
Densityper km² · Higher wins ↑
70.3
35.5
Would win
Highest peakm · Higher wins ↑
5,895
7,439
Would lose
Coastlinekm · Higher wins ↑
1,424
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
41.7° N
Would win
34
Round 34Won46 countries · 4 lives left
EcuadorvsKazakhstan
Proximity to equator: 1.2° S vs 48.5° N from the equator · Closer wins ↓
Conquered Kazakhstan.
Other category comparisons 3 other winning choices
All eight categories for Ecuador against Kazakhstan
Category
Ecuador
Kazakhstan
Result
Areakm² · Higher wins ↑
283,561
2,724,900
Would lose
Populationpeople · Higher wins ↑
17,980,083
20,330,104
Would lose
Wealth per personint’l $ · Higher wins ↑
15,907
38,547
Would lose
Densityper km² · Higher wins ↑
63.4
7.5
Would win
Highest peakm · Higher wins ↑
6,267
7,010
Would lose
Coastlinekm · Higher wins ↑
2,237
0
Would win
Flag colourscolours · Higher wins ↑
11
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.2° S
48.5° N
Would win
35
Round 35Won47 countries · 4 lives left
BelgiumvsAngola
Wealth per person: 72,630 vs 9,550 int’l $ · Higher wins ↑
Conquered Angola.
Other category comparisons 1 other winning choice
All eight categories for Belgium against Angola
Category
Belgium
Angola
Result
Areakm² · Higher wins ↑
30,528
1,246,700
Would lose
Populationpeople · Higher wins ↑
11,779,946
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,630
9,550
Would win
Densityper km² · Higher wins ↑
385.9
29.5
Would win
Highest peakm · Higher wins ↑
694
2,620
Would lose
Coastlinekm · Higher wins ↑
66.5
1,600
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
50.8° N
13.2° S
Would lose
36
Round 36Won48 countries · 4 lives left
MalivsThailand
Area: 1,240,192 vs 513,120 km² · Higher wins ↑
Conquered Thailand.
Other category comparisons 0 other winning choices
All eight categories for Mali against Thailand
Category
Mali
Thailand
Result
Areakm² · Higher wins ↑ · Chosen
1,240,192
513,120
Would win
Populationpeople · Higher wins ↑
23,769,127
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑
3,178
23,598
Would lose
Densityper km² · Higher wins ↑
19.2
139.7
Would lose
Highest peakm · Higher wins ↑
1,155
2,565
Would lose
Coastlinekm · Higher wins ↑
0
3,219
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
18.6° N
15.5° N
Would lose
37
Round 37Won49 countries · 4 lives left
JapanvsGuinea-Bissau
Population: 124,516,650 vs 2,153,339 people · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 5 other winning choices
All eight categories for Japan against Guinea-Bissau
Category
Japan
Guinea-Bissau
Result
Areakm² · Higher wins ↑
377,915
36,125
Would win
Populationpeople · Higher wins ↑ · Chosen
124,516,650
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
52,726
2,956
Would win
Densityper km² · Higher wins ↑
329.5
59.6
Would win
Highest peakm · Higher wins ↑
3,776
277
Would win
Coastlinekm · Higher wins ↑
29,751
350
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
12.1° N
Would lose
38
Round 38Won50 countries · 4 lives left
PolandvsRussia
Density: 117.3 vs 8.4 per km² · Higher wins ↑
Conquered Russia.
Other category comparisons 2 other winning choices
All eight categories for Poland against Russia
Category
Poland
Russia
Result
Areakm² · Higher wins ↑
312,685
17,098,242
Would lose
Populationpeople · Higher wins ↑
36,687,353
143,826,130
Would lose
Wealth per personint’l $ · Higher wins ↑
48,473
44,299
Would win
Densityper km² · Higher wins ↑ · Chosen
117.3
8.4
Would win
Highest peakm · Higher wins ↑
2,499
5,642
Would lose
Coastlinekm · Higher wins ↑
440
37,653
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
63.6° N
Would win
39
Round 39Won51 countries · 4 lives left
MoldovavsYemen
Flag colours: 9 vs 3 colours · Higher wins ↑
Conquered Yemen.
Other category comparisons 0 other winning choices
All eight categories for Moldova against Yemen
Category
Moldova
Yemen
Result
Areakm² · Higher wins ↑
33,851
527,968
Would lose
Populationpeople · Higher wins ↑
2,457,783
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
17,751
Unavailable
Unavailable
Densityper km² · Higher wins ↑
72.6
74.6
Would lose
Highest peakm · Higher wins ↑
430
3,666
Would lose
Coastlinekm · Higher wins ↑
0
1,906
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
15.3° N
Would lose
40
Round 40Won52 countries · 4 lives left
ParaguayvsDR Congo
Wealth per person: 17,585 vs 1,732 int’l $ · Higher wins ↑
Conquered DR Congo.
Other category comparisons 1 other winning choice
All eight categories for Paraguay against DR Congo
Category
Paraguay
DR Congo
Result
Areakm² · Higher wins ↑
406,752
2,344,858
Would lose
Populationpeople · Higher wins ↑
6,844,146
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,585
1,732
Would win
Densityper km² · Higher wins ↑
16.8
45.1
Would lose
Highest peakm · Higher wins ↑
842
5,110
Would lose
Coastlinekm · Higher wins ↑
0
37
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Vanuatuvs
Slovenia
Malawi
Zimbabwe
Germany
Italy
Saudi Arabia
Suriname
Uzbekistan
Honduras
Vietnam
Gabon
Djibouti
Côte d’Ivoire
South Korea
Andorra
Comoros
Uruguay
Bulgaria
Morocco
Chile
Bolivia
Zambia
Pakistan
Tanzania
Kyrgyzstan
Ecuador
Kazakhstan
Belgium
Angola
Mali
Thailand
Japan
Guinea-Bissau
Poland
Russia
Moldova
Yemen
Paraguay
DR Congo