Mauritania · Germany · South Korea · Costa Rica · Honduras · Senegal · Guatemala · Canada · Lesotho · Eritrea · Mozambique · Kyrgyzstan
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
41
Round 41Won51 countries · 3 lives left
GermanyvsJamaica
Area: 357,022 vs 10,991 km² · Higher wins ↑
Conquered Jamaica.
Other category comparisons 4 other winning choices
All eight categories for Germany against Jamaica
Category
Germany
Jamaica
Result
Areakm² · Higher wins ↑ · Chosen
357,022
10,991
Would win
Populationpeople · Higher wins ↑
83,287,273
2,839,786
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
12,661
Would win
Densityper km² · Higher wins ↑
233.3
258.4
Would lose
Highest peakm · Higher wins ↑
2,963
2,256
Would win
Coastlinekm · Higher wins ↑
2,389
1,022
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
18.1° N
Would lose
42
Round 42Won52 countries · 3 lives left
AlgeriavsBelize
Area: 2,381,740 vs 22,966 km² · Higher wins ↑
Conquered Belize.
Other category comparisons 5 other winning choices
All eight categories for Algeria against Belize
Category
Algeria
Belize
Result
Areakm² · Higher wins ↑ · Chosen
2,381,740
22,966
Would win
Populationpeople · Higher wins ↑
46,164,219
411,106
Would win
Wealth per personint’l $ · Higher wins ↑
16,838
13,741
Would win
Densityper km² · Higher wins ↑
19.4
17.9
Would win
Highest peakm · Higher wins ↑
2,908
1,124
Would win
Coastlinekm · Higher wins ↑
998
386
Would win
Flag colourscolours · Higher wins ↑
3
12
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.4° N
17.0° N
Would lose
43
Round 43Won53 countries · 3 lives left
SpainvsPortugal
Area: 505,370 vs 92,090 km² · Higher wins ↑
Conquered Portugal.
Other category comparisons 6 other winning choices
All eight categories for Spain against Portugal
Category
Spain
Portugal
Result
Areakm² · Higher wins ↑ · Chosen
505,370
92,090
Would win
Populationpeople · Higher wins ↑
48,352,528
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
55,661
49,800
Would win
Densityper km² · Higher wins ↑
95.7
114.9
Would lose
Highest peakm · Higher wins ↑
3,718
2,351
Would win
Coastlinekm · Higher wins ↑
4,964
1,793
Would win
Flag colourscolours · Higher wins ↑
10
6
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
40.7° N
Would win
44
Round 44Won54 countries · 3 lives left
NepalvsMongolia
Proximity to equator: 29.0° N vs 46.0° N from the equator · Closer wins ↓
Conquered Mongolia.
Other category comparisons 3 other winning choices
All eight categories for Nepal against Mongolia
Category
Nepal
Mongolia
Result
Areakm² · Higher wins ↑
147,181
1,564,116
Would lose
Populationpeople · Higher wins ↑
29,694,614
3,481,145
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
18,020
Would lose
Densityper km² · Higher wins ↑
201.8
2.2
Would win
Highest peakm · Higher wins ↑
8,849
4,374
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
29.0° N
46.0° N
Would win
45
Round 45Won55 countries · 3 lives left
South KoreavsLatvia
Population: 51,712,619 vs 1,883,710 people · Higher wins ↑
Conquered Latvia.
Other category comparisons 7 other winning choices
All eight categories for South Korea against Latvia
Category
South Korea
Latvia
Result
Areakm² · Higher wins ↑
99,720
64,589
Would win
Populationpeople · Higher wins ↑ · Chosen
51,712,619
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
57,430
42,784
Would win
Densityper km² · Higher wins ↑
518.6
29.2
Would win
Highest peakm · Higher wins ↑
1,950
312
Would win
Coastlinekm · Higher wins ↑
2,413
498
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
56.6° N
Would win
46
Round 46Won56 countries · 3 lives left
IndiavsSri Lanka
Area: 3,287,263 vs 65,610 km² · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 4 other winning choices
All eight categories for India against Sri Lanka
Category
India
Sri Lanka
Result
Areakm² · Higher wins ↑ · Chosen
3,287,263
65,610
Would win
Populationpeople · Higher wins ↑
1,438,069,596
22,037,000
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
14,512
Would lose
Densityper km² · Higher wins ↑
437.5
335.9
Would win
Highest peakm · Higher wins ↑
8,586
2,524
Would win
Coastlinekm · Higher wins ↑
7,000
1,340
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
7.1° N
Would lose
47
Round 47Won57 countries · 3 lives left
ThailandvsMadagascar
Population: 71,702,435 vs 31,195,932 people · Higher wins ↑
Conquered Madagascar.
Other category comparisons 3 other winning choices
All eight categories for Thailand against Madagascar
Category
Thailand
Madagascar
Result
Areakm² · Higher wins ↑
513,120
587,041
Would lose
Populationpeople · Higher wins ↑ · Chosen
71,702,435
31,195,932
Would win
Wealth per personint’l $ · Higher wins ↑
23,598
1,810
Would win
Densityper km² · Higher wins ↑
139.7
53.1
Would win
Highest peakm · Higher wins ↑
2,565
2,876
Would lose
Coastlinekm · Higher wins ↑
3,219
4,828
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
18.4° S
Would win
48
Round 48Won58 countries · 3 lives left
BulgariavsMyanmar
Wealth per person: 38,829 vs 5,958 int’l $ · Higher wins ↑
Conquered Myanmar.
Other category comparisons 0 other winning choices
All eight categories for Bulgaria against Myanmar
Category
Bulgaria
Myanmar
Result
Areakm² · Higher wins ↑
110,879
676,578
Would lose
Populationpeople · Higher wins ↑
6,446,596
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
38,829
5,958
Would win
Densityper km² · Higher wins ↑
58.1
80.0
Would lose
Highest peakm · Higher wins ↑
2,925
5,870
Would lose
Coastlinekm · Higher wins ↑
354
1,930
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
21.6° N
Would lose
49
Round 49Won59 countries · 3 lives left
Costa RicavsEstonia
Proximity to equator: 10.1° N vs 58.6° N from the equator · Closer wins ↓
Conquered Estonia.
Other category comparisons 4 other winning choices
All eight categories for Costa Rica against Estonia
Category
Costa Rica
Estonia
Result
Areakm² · Higher wins ↑
51,100
45,228
Would win
Populationpeople · Higher wins ↑
5,105,525
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
29,248
48,848
Would lose
Densityper km² · Higher wins ↑
99.9
30.3
Would win
Highest peakm · Higher wins ↑
3,819
318
Would win
Coastlinekm · Higher wins ↑
1,290
3,794
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.1° N
58.6° N
Would win
50
Round 50Won60 countries · 3 lives left
South SudanvsAlbania
Flag colours: 6 vs 2 colours · Higher wins ↑
Conquered Albania.
Other category comparisons 4 other winning choices
All eight categories for South Sudan against Albania
Category
South Sudan
Albania
Result
Areakm² · Higher wins ↑
644,329
28,748
Would win
Populationpeople · Higher wins ↑
11,483,374
2,411,658
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
24,848
Unavailable
Densityper km² · Higher wins ↑
17.8
83.9
Would lose
Highest peakm · Higher wins ↑
3,187
2,764
Would win
Coastlinekm · Higher wins ↑
0
362
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
40.7° N
Would win
51
Round 51Won61 countries · 3 lives left
SurinamevsDjibouti
Area: 163,820 vs 23,200 km² · Higher wins ↑
Conquered Djibouti.
Other category comparisons 3 other winning choices
All eight categories for Suriname against Djibouti
Category
Suriname
Djibouti
Result
Areakm² · Higher wins ↑ · Chosen
163,820
23,200
Would win
Populationpeople · Higher wins ↑
628,886
1,152,944
Would lose
Wealth per personint’l $ · Higher wins ↑
21,128
7,232
Would win
Densityper km² · Higher wins ↑
3.8
49.7
Would lose
Highest peakm · Higher wins ↑
1,230
2,021
Would lose
Coastlinekm · Higher wins ↑
386
314
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
4.1° N
11.4° N
Would win
52
Round 52Won62 countries · 3 lives left
CyprusvsKuwait
Coastline: 648 vs 499 km · Higher wins ↑
Conquered Kuwait.
Other category comparisons 2 other winning choices
All eight categories for Cyprus against Kuwait
Category
Cyprus
Kuwait
Result
Areakm² · Higher wins ↑
9,251
17,818
Would lose
Populationpeople · Higher wins ↑
1,344,976
4,853,420
Would lose
Wealth per personint’l $ · Higher wins ↑
59,875
53,083
Would win
Densityper km² · Higher wins ↑
145.4
272.4
Would lose
Highest peakm · Higher wins ↑
1,951
300
Would win
Coastlinekm · Higher wins ↑ · Chosen
648
499
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
29.4° N
Would lose
53
Round 53Tied62 countries · 3 lives left
HondurasvsVietnam
Flag colours: 2 vs 2 colours · Higher wins ↑
Vietnam became contested.
Other category comparisons 1 other winning choice
All eight categories for Honduras against Vietnam
Category
Honduras
Vietnam
Result
Areakm² · Higher wins ↑
112,090
331,210
Would lose
Populationpeople · Higher wins ↑
10,644,851
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑
7,184
15,034
Would lose
Densityper km² · Higher wins ↑
95.0
303.0
Would lose
Highest peakm · Higher wins ↑
2,870
3,144
Would lose
Coastlinekm · Higher wins ↑
823
3,444
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
14.7° N
21.7° N
Would win
54
Round 54Won64 countries · 3 lives left
GuineavsRussia
Proximity to equator: 10.7° N vs 63.6° N from the equator · Closer wins ↓
Conquered Russia, Vietnam.
Other category comparisons 1 other winning choice
All eight categories for Guinea against Russia
Category
Guinea
Russia
Result
Areakm² · Higher wins ↑
245,857
17,098,242
Would lose
Populationpeople · Higher wins ↑
14,405,468
143,826,130
Would lose
Wealth per personint’l $ · Higher wins ↑
4,337
44,299
Would lose
Densityper km² · Higher wins ↑
58.6
8.4
Would win
Highest peakm · Higher wins ↑
1,752
5,642
Would lose
Coastlinekm · Higher wins ↑
320
37,653
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.7° N
63.6° N
Would win
55
Round 55Won65 countries · 3 lives left
Papua New GuineavsUkraine
Flag colours: 4 vs 2 colours · Higher wins ↑
Conquered Ukraine.
Other category comparisons 3 other winning choices
All eight categories for Papua New Guinea against Ukraine
Category
Papua New Guinea
Ukraine
Result
Areakm² · Higher wins ↑
462,840
603,550
Would lose
Populationpeople · Higher wins ↑
10,389,635
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑
4,672
17,680
Would lose
Densityper km² · Higher wins ↑
22.4
62.5
Would lose
Highest peakm · Higher wins ↑
4,509
2,061
Would win
Coastlinekm · Higher wins ↑
5,152
2,782
Would win
Flag colourscolours · Higher wins ↑ · Chosen
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
49.6° N
Would win
56
Round 56Won66 countries · 3 lives left
BelarusvsMontenegro
Area: 207,600 vs 13,812 km² · Higher wins ↑
Conquered Montenegro.
Other category comparisons 1 other winning choice
All eight categories for Belarus against Montenegro
Category
Belarus
Montenegro
Result
Areakm² · Higher wins ↑ · Chosen
207,600
13,812
Would win
Populationpeople · Higher wins ↑
9,178,298
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
30,860
31,863
Would lose
Densityper km² · Higher wins ↑
44.2
45.1
Would lose
Highest peakm · Higher wins ↑
346
2,534
Would lose
Coastlinekm · Higher wins ↑
0
293.5
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
42.8° N
Would lose
57
Round 57Won67 countries · 3 lives left
SenegalvsBangladesh
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 2 other winning choices
All eight categories for Senegal against Bangladesh
Category
Senegal
Bangladesh
Result
Areakm² · Higher wins ↑
196,722
148,460
Would win
Populationpeople · Higher wins ↑
18,077,573
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑
4,782
9,155
Would lose
Densityper km² · Higher wins ↑
91.9
1,155.0
Would lose
Highest peakm · Higher wins ↑
648
1,060
Would lose
Coastlinekm · Higher wins ↑
531
580
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.2° N
24.3° N
Would win
58
Round 58Won68 countries · 3 lives left
DR CongovsChina
Proximity to equator: 1.9° S vs 32.5° N from the equator · Closer wins ↓
Conquered China.
Other category comparisons 1 other winning choice
All eight categories for DR Congo against China
Category
DR Congo
China
Result
Areakm² · Higher wins ↑
2,344,858
9,596,960
Would lose
Populationpeople · Higher wins ↑
105,789,731
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑
1,732
25,200
Would lose
Densityper km² · Higher wins ↑
45.1
147.0
Would lose
Highest peakm · Higher wins ↑
5,110
8,849
Would lose
Coastlinekm · Higher wins ↑
37
14,500
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.9° S
32.5° N
Would win
59
Round 59Won69 countries · 3 lives left
United Arab EmiratesvsJapan
Proximity to equator: 23.5° N vs 36.7° N from the equator · Closer wins ↓
Conquered Japan.
Other category comparisons 2 other winning choices
All eight categories for United Arab Emirates against Japan
Category
United Arab Emirates
Japan
Result
Areakm² · Higher wins ↑
83,600
377,915
Would lose
Populationpeople · Higher wins ↑
10,483,751
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑
78,020
52,726
Would win
Densityper km² · Higher wins ↑
125.4
329.5
Would lose
Highest peakm · Higher wins ↑
1,905
3,776
Would lose
Coastlinekm · Higher wins ↑
1,318
29,751
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
23.5° N
36.7° N
Would win
60
Round 60Won70 countries · 3 lives left
North KoreavsMexico
Density: 219.2 vs 66.0 per km² · Higher wins ↑
Conquered Mexico.
Other category comparisons 0 other winning choices
All eight categories for North Korea against Mexico
Category
North Korea
Mexico
Result
Areakm² · Higher wins ↑
120,538
1,964,375
Would lose
Populationpeople · Higher wins ↑
26,418,204
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
25,188
Unavailable
Densityper km² · Higher wins ↑ · Chosen
219.2
66.0
Would win
Highest peakm · Higher wins ↑
2,744
5,636
Would lose
Coastlinekm · Higher wins ↑
2,495
9,330
Would lose
Flag colourscolours · Higher wins ↑
3
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓