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 41Won53 countries · 4 lives left
LibyavsGhana
Area: 1,759,540 vs 238,533 km² · Higher wins ↑
Conquered Ghana.
Other category comparisons 3 other winning choices
All eight categories for Libya against Ghana
Category
Libya
Ghana
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
238,533
Would win
Populationpeople · Higher wins ↑
7,305,659
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑
13,858
7,563
Would win
Densityper km² · Higher wins ↑
4.2
141.6
Would lose
Highest peakm · Higher wins ↑
2,267
885
Would win
Coastlinekm · Higher wins ↑
1,770
539
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
7.0° N
Would lose
42
Round 42Won54 countries · 4 lives left
JamaicavsSouth Africa
Proximity to equator: 18.1° N vs 30.2° S from the equator · Closer wins ↓
Conquered South Africa.
Other category comparisons 1 other winning choice
All eight categories for Jamaica against South Africa
Category
Jamaica
South Africa
Result
Areakm² · Higher wins ↑
10,991
1,219,090
Would lose
Populationpeople · Higher wins ↑
2,839,786
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
12,661
15,212
Would lose
Densityper km² · Higher wins ↑
258.4
51.9
Would win
Highest peakm · Higher wins ↑
2,256
3,450
Would lose
Coastlinekm · Higher wins ↑
1,022
2,798
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
18.1° N
30.2° S
Would win
43
Round 43Won55 countries · 4 lives left
NicaraguavsSouth Sudan
Coastline: 910 vs 0 km · Higher wins ↑
Conquered South Sudan.
Other category comparisons 2 other winning choices
All eight categories for Nicaragua against South Sudan
Category
Nicaragua
South Sudan
Result
Areakm² · Higher wins ↑
130,370
644,329
Would lose
Populationpeople · Higher wins ↑
6,823,613
11,483,374
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
8,327
Unavailable
Unavailable
Densityper km² · Higher wins ↑
52.3
17.8
Would win
Highest peakm · Higher wins ↑
2,085
3,187
Would lose
Coastlinekm · Higher wins ↑ · Chosen
910
0
Would win
Flag colourscolours · Higher wins ↑
10
6
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
7.1° N
Would lose
44
Round 44Won56 countries · 4 lives left
MontenegrovsUnited Kingdom
Highest peak: 2,534 vs 1,345 m · Higher wins ↑
Conquered United Kingdom.
Other category comparisons 2 other winning choices
All eight categories for Montenegro against United Kingdom
Category
Montenegro
United Kingdom
Result
Areakm² · Higher wins ↑
13,812
243,610
Would lose
Populationpeople · Higher wins ↑
623,529
68,526,000
Would lose
Wealth per personint’l $ · Higher wins ↑
31,863
60,787
Would lose
Densityper km² · Higher wins ↑
45.1
281.3
Would lose
Highest peakm · Higher wins ↑ · Chosen
2,534
1,345
Would win
Coastlinekm · Higher wins ↑
293.5
12,429
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.8° N
52.5° N
Would win
45
Round 45Won57 countries · 4 lives left
BelgiumvsSouth Korea
Wealth per person: 72,630 vs 57,430 int’l $ · Higher wins ↑
Conquered South Korea.
Other category comparisons 0 other winning choices
All eight categories for Belgium against South Korea
Category
Belgium
South Korea
Result
Areakm² · Higher wins ↑
30,528
99,720
Would lose
Populationpeople · Higher wins ↑
11,779,946
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,630
57,430
Would win
Densityper km² · Higher wins ↑
385.9
518.6
Would lose
Highest peakm · Higher wins ↑
694
1,950
Would lose
Coastlinekm · Higher wins ↑
66.5
2,413
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
50.8° N
36.3° N
Would lose
46
Round 46Won58 countries · 4 lives left
IraqvsDjibouti
Area: 438,317 vs 23,200 km² · Higher wins ↑
Conquered Djibouti.
Other category comparisons 4 other winning choices
All eight categories for Iraq against Djibouti
Category
Iraq
Djibouti
Result
Areakm² · Higher wins ↑ · Chosen
438,317
23,200
Would win
Populationpeople · Higher wins ↑
45,074,049
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑
14,665
7,232
Would win
Densityper km² · Higher wins ↑
102.8
49.7
Would win
Highest peakm · Higher wins ↑
3,611
2,021
Would win
Coastlinekm · Higher wins ↑
58
314
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
11.4° N
Would lose
47
Round 47Won59 countries · 4 lives left
SurinamevsPortugal
Area: 163,820 vs 92,090 km² · Higher wins ↑
Conquered Portugal.
Other category comparisons 1 other winning choice
All eight categories for Suriname against Portugal
Category
Suriname
Portugal
Result
Areakm² · Higher wins ↑ · Chosen
163,820
92,090
Would win
Populationpeople · Higher wins ↑
628,886
10,578,174
Would lose
Wealth per personint’l $ · Higher wins ↑
21,128
49,800
Would lose
Densityper km² · Higher wins ↑
3.8
114.9
Would lose
Highest peakm · Higher wins ↑
1,230
2,351
Would lose
Coastlinekm · Higher wins ↑
386
1,793
Would lose
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
4.1° N
40.7° N
Would win
48
Round 48Won60 countries · 4 lives left
ChilevsLatvia
Area: 756,102 vs 64,589 km² · Higher wins ↑
Conquered Latvia.
Other category comparisons 5 other winning choices
All eight categories for Chile against Latvia
Category
Chile
Latvia
Result
Areakm² · Higher wins ↑ · Chosen
756,102
64,589
Would win
Populationpeople · Higher wins ↑
19,658,835
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
33,174
42,784
Would lose
Densityper km² · Higher wins ↑
26.0
29.2
Would lose
Highest peakm · Higher wins ↑
6,893
312
Would win
Coastlinekm · Higher wins ↑
6,435
498
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
56.6° N
Would win
49
Round 49Tied60 countries · 4 lives left
Timor-LestevsIndia
Flag colours: 4 vs 4 colours · Higher wins ↑
India became contested.
Other category comparisons 1 other winning choice
All eight categories for Timor-Leste against India
Category
Timor-Leste
India
Result
Areakm² · Higher wins ↑
14,874
3,287,263
Would lose
Populationpeople · Higher wins ↑
1,384,286
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
9,853
Would lose
Densityper km² · Higher wins ↑
93.1
437.5
Would lose
Highest peakm · Higher wins ↑
2,963
8,586
Would lose
Coastlinekm · Higher wins ↑
706
7,000
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
22.4° N
Would win
50
Round 50Won62 countries · 4 lives left
SingaporevsRomania
Density: 8,230.4 vs 80.0 per km² · Higher wins ↑
Conquered Romania, India.
Other category comparisons 2 other winning choices
All eight categories for Singapore against Romania
Category
Singapore
Romania
Result
Areakm² · Higher wins ↑
719
238,391
Would lose
Populationpeople · Higher wins ↑
5,917,648
19,061,062
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
45,982
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
80.0
Would win
Highest peakm · Higher wins ↑
166
2,544
Would lose
Coastlinekm · Higher wins ↑
193
225
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
45.7° N
Would win
51
Round 51Won63 countries · 4 lives left
ColombiavsGeorgia
Population: 52,321,152 vs 3,715,483 people · Higher wins ↑
Conquered Georgia.
Other category comparisons 5 other winning choices
All eight categories for Colombia against Georgia
Category
Colombia
Georgia
Result
Areakm² · Higher wins ↑
1,138,910
69,700
Would win
Populationpeople · Higher wins ↑ · Chosen
52,321,152
3,715,483
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
25,093
Would lose
Densityper km² · Higher wins ↑
45.9
53.3
Would lose
Highest peakm · Higher wins ↑
5,730
5,193
Would win
Coastlinekm · Higher wins ↑
3,208
310
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
42.4° N
Would win
52
Round 52Won64 countries · 4 lives left
United StatesvsIsrael
Population: 336,755,052 vs 9,849,000 people · Higher wins ↑
Conquered Israel.
Other category comparisons 5 other winning choices
All eight categories for United States against Israel
Category
United States
Israel
Result
Areakm² · Higher wins ↑
9,833,517
21,937
Would win
Populationpeople · Higher wins ↑ · Chosen
336,755,052
9,849,000
Would win
Wealth per personint’l $ · Higher wins ↑
82,587
55,301
Would win
Densityper km² · Higher wins ↑
34.2
449.0
Would lose
Highest peakm · Higher wins ↑
6,190
2,224
Would win
Coastlinekm · Higher wins ↑
19,924
273
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
30.9° N
Would lose
53
Round 53Won65 countries · 4 lives left
North MacedoniavsBolivia
Wealth per person: 25,354 vs 12,903 int’l $ · Higher wins ↑
Conquered Bolivia.
Other category comparisons 1 other winning choice
All eight categories for North Macedonia against Bolivia
Category
North Macedonia
Bolivia
Result
Areakm² · Higher wins ↑
25,713
1,098,581
Would lose
Populationpeople · Higher wins ↑
1,827,816
12,244,159
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,354
12,903
Would win
Densityper km² · Higher wins ↑
71.1
11.1
Would win
Highest peakm · Higher wins ↑
2,764
6,542
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
16.7° S
Would lose
54
Round 54Won66 countries · 4 lives left
Côte d’IvoirevsLithuania
Area: 322,463 vs 65,300 km² · Higher wins ↑
Conquered Lithuania.
Other category comparisons 5 other winning choices
All eight categories for Côte d’Ivoire against Lithuania
Category
Côte d’Ivoire
Lithuania
Result
Areakm² · Higher wins ↑ · Chosen
322,463
65,300
Would win
Populationpeople · Higher wins ↑
31,165,654
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
7,243
52,720
Would lose
Densityper km² · Higher wins ↑
96.6
44.0
Would win
Highest peakm · Higher wins ↑
1,752
294
Would win
Coastlinekm · Higher wins ↑
515
90
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.5° N
55.1° N
Would win
55
Round 55Won67 countries · 4 lives left
PakistanvsGuatemala
Population: 247,504,495 vs 18,124,838 people · Higher wins ↑
Conquered Guatemala.
Other category comparisons 4 other winning choices
All eight categories for Pakistan against Guatemala
Category
Pakistan
Guatemala
Result
Areakm² · Higher wins ↑
796,095
108,889
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
18,124,838
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
13,752
Would lose
Densityper km² · Higher wins ↑
310.9
166.5
Would win
Highest peakm · Higher wins ↑
8,611
4,220
Would win
Coastlinekm · Higher wins ↑
1,046
400
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
15.0° N
Would lose
56
Round 56Won68 countries · 4 lives left
NepalvsLesotho
Highest peak: 8,849 vs 3,482 m · Higher wins ↑
Conquered Lesotho.
Other category comparisons 5 other winning choices
All eight categories for Nepal against Lesotho
Category
Nepal
Lesotho
Result
Areakm² · Higher wins ↑
147,181
30,355
Would win
Populationpeople · Higher wins ↑
29,694,614
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
2,880
Would win
Densityper km² · Higher wins ↑
201.8
76.1
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
3,482
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
29.4° S
Would win
57
Round 57Won69 countries · 4 lives left
YemenvsRepublic of the Congo
Population: 39,390,799 vs 6,182,885 people · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 4 other winning choices
All eight categories for Yemen against Republic of the Congo
Category
Yemen
Republic of the Congo
Result
Areakm² · Higher wins ↑
527,968
342,000
Would win
Populationpeople · Higher wins ↑ · Chosen
39,390,799
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
6,856
Unavailable
Densityper km² · Higher wins ↑
74.6
18.1
Would win
Highest peakm · Higher wins ↑
3,666
1,020
Would win
Coastlinekm · Higher wins ↑
1,906
169
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
0.1° N
Would lose
58
Round 58Won70 countries · 4 lives left
BruneivsThailand
Wealth per person: 85,103 vs 23,598 int’l $ · Higher wins ↑
Conquered Thailand.
Other category comparisons 2 other winning choices
All eight categories for Brunei against Thailand
Category
Brunei
Thailand
Result
Areakm² · Higher wins ↑
5,765
513,120
Would lose
Populationpeople · Higher wins ↑
458,949
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
85,103
23,598
Would win
Densityper km² · Higher wins ↑
79.6
139.7
Would lose
Highest peakm · Higher wins ↑
1,850
2,565
Would lose
Coastlinekm · Higher wins ↑
161
3,219
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
15.5° N
Would win
59
Round 59Won71 countries · 4 lives left
TanzaniavsParaguay
Population: 66,617,606 vs 6,844,146 people · Higher wins ↑
Conquered Paraguay.
Other category comparisons 5 other winning choices
All eight categories for Tanzania against Paraguay
Category
Tanzania
Paraguay
Result
Areakm² · Higher wins ↑
947,300
406,752
Would win
Populationpeople · Higher wins ↑ · Chosen
66,617,606
6,844,146
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
17,585
Would lose
Densityper km² · Higher wins ↑
70.3
16.8
Would win
Highest peakm · Higher wins ↑
5,895
842
Would win
Coastlinekm · Higher wins ↑
1,424
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
21.6° S
Would win
60
Round 60Won72 countries · 4 lives left
FijivsBrazil
Density: 50.6 vs 24.8 per km² · Higher wins ↑
Conquered Brazil.
Other category comparisons 1 other winning choice
All eight categories for Fiji against Brazil
Category
Fiji
Brazil
Result
Areakm² · Higher wins ↑
18,274
8,515,770
Would lose
Populationpeople · Higher wins ↑
924,145
211,140,729
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
21,193
Would lose
Densityper km² · Higher wins ↑ · Chosen
50.6
24.8
Would win
Highest peakm · Higher wins ↑
1,324
2,994
Would lose
Coastlinekm · Higher wins ↑
1,129
7,491
Would lose
Flag colourscolours · Higher wins ↑
8
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Libyavs
Ghana
Jamaica
South Africa
Nicaragua
South Sudan
Montenegro
United Kingdom
Belgium
South Korea
Iraq
Djibouti
Suriname
Portugal
Chile
Latvia
Timor-Leste
India
Singapore
Romania
Colombia
Georgia
United States
Israel
North Macedonia
Bolivia
Côte d’Ivoire
Lithuania
Pakistan
Guatemala
Nepal
Lesotho
Yemen
Republic of the Congo
Brunei
Thailand
Tanzania
Paraguay
Fiji
Brazil