Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
81
Round 81Won93 countries · 4 lives left
NorwayvsIndonesia
Wealth per person: 107,768 vs 15,428 int’l $ · Higher wins ↑
Conquered Indonesia.
Other category comparisons 1 other winning choice
All eight categories for Norway against Indonesia
Category
Norway
Indonesia
Result
Areakm² · Higher wins ↑
323,802
1,904,569
Would lose
Populationpeople · Higher wins ↑
5,519,601
281,190,067
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
107,768
15,428
Would win
Densityper km² · Higher wins ↑
17.0
147.6
Would lose
Highest peakm · Higher wins ↑
2,469
4,884
Would lose
Coastlinekm · Higher wins ↑
25,148
54,716
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
61.5° N
1.0° S
Would lose
82
Round 82Won94 countries · 4 lives left
IranvsChile
Population: 90,608,707 vs 19,658,835 people · Higher wins ↑
Conquered Chile.
Other category comparisons 2 other winning choices
All eight categories for Iran against Chile
Category
Iran
Chile
Result
Areakm² · Higher wins ↑
1,648,195
756,102
Would win
Populationpeople · Higher wins ↑ · Chosen
90,608,707
19,658,835
Would win
Wealth per personint’l $ · Higher wins ↑
18,933
33,174
Would lose
Densityper km² · Higher wins ↑
55.0
26.0
Would win
Highest peakm · Higher wins ↑
5,625
6,893
Would lose
Coastlinekm · Higher wins ↑
2,440
6,435
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
23.4° S
Would lose
83
Round 83Won95 countries · 4 lives left
LibyavsSudan
Coastline: 1,770 vs 853 km · Higher wins ↑
Conquered Sudan.
Other category comparisons 1 other winning choice
All eight categories for Libya against Sudan
Category
Libya
Sudan
Result
Areakm² · Higher wins ↑
1,759,540
1,861,484
Would lose
Populationpeople · Higher wins ↑
7,305,659
50,042,791
Would lose
Wealth per personint’l $ · Higher wins ↑
13,858
2,423
Would win
Densityper km² · Higher wins ↑
4.2
26.9
Would lose
Highest peakm · Higher wins ↑
2,267
3,042
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,770
853
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
16.6° N
Would lose
84
Round 84Won96 countries · 4 lives left
FrancevsEritrea
Population: 65,925,961 vs 3,470,390 people · Higher wins ↑
Conquered Eritrea.
Other category comparisons 4 other winning choices
All eight categories for France against Eritrea
Category
France
Eritrea
Result
Areakm² · Higher wins ↑
551,500
117,600
Would win
Populationpeople · Higher wins ↑ · Chosen
65,925,961
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
60,927
Unavailable
Unavailable
Densityper km² · Higher wins ↑
119.5
29.5
Would win
Highest peakm · Higher wins ↑
4,810
3,018
Would win
Coastlinekm · Higher wins ↑
3,427
2,234
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
16.0° N
Would lose
85
Round 85Won97 countries · 4 lives left
PakistanvsCyprus
Population: 247,504,495 vs 1,344,976 people · Higher wins ↑
Conquered Cyprus.
Other category comparisons 5 other winning choices
All eight categories for Pakistan against Cyprus
Category
Pakistan
Cyprus
Result
Areakm² · Higher wins ↑
796,095
9,251
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
1,344,976
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
59,875
Would lose
Densityper km² · Higher wins ↑
310.9
145.4
Would win
Highest peakm · Higher wins ↑
8,611
1,951
Would win
Coastlinekm · Higher wins ↑
1,046
648
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
34.9° N
Would win
86
Round 86Won98 countries · 4 lives left
BeninvsLithuania
Population: 14,111,034 vs 2,871,585 people · Higher wins ↑
Conquered Lithuania.
Other category comparisons 5 other winning choices
All eight categories for Benin against Lithuania
Category
Benin
Lithuania
Result
Areakm² · Higher wins ↑
112,622
65,300
Would win
Populationpeople · Higher wins ↑ · Chosen
14,111,034
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
4,133
52,720
Would lose
Densityper km² · Higher wins ↑
125.3
44.0
Would win
Highest peakm · Higher wins ↑
675
294
Would win
Coastlinekm · Higher wins ↑
121
90
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
10.4° N
55.1° N
Would win
87
Round 87Won99 countries · 4 lives left
EstoniavsLiberia
Wealth per person: 48,848 vs 1,796 int’l $ · Higher wins ↑
Conquered Liberia.
Other category comparisons 1 other winning choice
All eight categories for Estonia against Liberia
Category
Estonia
Liberia
Result
Areakm² · Higher wins ↑
45,228
111,369
Would lose
Populationpeople · Higher wins ↑
1,370,286
5,493,031
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,848
1,796
Would win
Densityper km² · Higher wins ↑
30.3
49.3
Would lose
Highest peakm · Higher wins ↑
318
1,447
Would lose
Coastlinekm · Higher wins ↑
3,794
579
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
7.0° N
Would lose
88
Round 88Won100 countries · 4 lives left
BurundivsSaudi Arabia
Density: 491.9 vs 15.7 per km² · Higher wins ↑
Conquered Saudi Arabia.
Other category comparisons 2 other winning choices
All eight categories for Burundi against Saudi Arabia
Category
Burundi
Saudi Arabia
Result
Areakm² · Higher wins ↑
27,830
2,149,690
Would lose
Populationpeople · Higher wins ↑
13,689,450
33,702,731
Would lose
Wealth per personint’l $ · Higher wins ↑
1,147
71,624
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
15.7
Would win
Highest peakm · Higher wins ↑
2,685
3,000
Would lose
Coastlinekm · Higher wins ↑
0
2,640
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
23.5° N
Would win
89
Round 89Won101 countries · 4 lives left
Côte d’IvoirevsGhana
Area: 322,463 vs 238,533 km² · Higher wins ↑
Conquered Ghana.
Other category comparisons 1 other winning choice
All eight categories for Côte d’Ivoire against Ghana
Category
Côte d’Ivoire
Ghana
Result
Areakm² · Higher wins ↑ · Chosen
322,463
238,533
Would win
Populationpeople · Higher wins ↑
31,165,654
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑
7,243
7,563
Would lose
Densityper km² · Higher wins ↑
96.6
141.6
Would lose
Highest peakm · Higher wins ↑
1,752
885
Would win
Coastlinekm · Higher wins ↑
515
539
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.5° N
7.0° N
Would lose
90
Round 90Won102 countries · 4 lives left
New ZealandvsNamibia
Wealth per person: 54,950 vs 11,248 int’l $ · Higher wins ↑
Conquered Namibia.
Other category comparisons 4 other winning choices
All eight categories for New Zealand against Namibia
Category
New Zealand
Namibia
Result
Areakm² · Higher wins ↑
268,838
824,292
Would lose
Populationpeople · Higher wins ↑
5,200,000
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,950
11,248
Would win
Densityper km² · Higher wins ↑
19.3
3.6
Would win
Highest peakm · Higher wins ↑
3,724
2,573
Would win
Coastlinekm · Higher wins ↑
15,134
1,572
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
20.6° S
Would lose
91
Round 91Won103 countries · 4 lives left
Sierra LeonevsIceland
Proximity to equator: 8.7° N vs 64.7° N from the equator · Closer wins ↓
Conquered Iceland.
Other category comparisons 2 other winning choices
All eight categories for Sierra Leone against Iceland
Category
Sierra Leone
Iceland
Result
Areakm² · Higher wins ↑
71,740
103,000
Would lose
Populationpeople · Higher wins ↑
8,460,512
385,663
Would win
Wealth per personint’l $ · Higher wins ↑
3,371
82,257
Would lose
Densityper km² · Higher wins ↑
117.9
3.7
Would win
Highest peakm · Higher wins ↑
1,948
2,110
Would lose
Coastlinekm · Higher wins ↑
402
4,970
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.7° N
64.7° N
Would win
92
Round 92Won104 countries · 4 lives left
SingaporevsLaos
Density: 8,230.4 vs 32.4 per km² · Higher wins ↑
Conquered Laos.
Other category comparisons 3 other winning choices
All eight categories for Singapore against Laos
Category
Singapore
Laos
Result
Areakm² · Higher wins ↑
719
236,800
Would lose
Populationpeople · Higher wins ↑
5,917,648
7,664,993
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
9,299
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
32.4
Would win
Highest peakm · Higher wins ↑
166
2,817
Would lose
Coastlinekm · Higher wins ↑
193
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
19.6° N
Would win
93
Round 93Won105 countries · 4 lives left
AustraliavsTürkiye
Area: 7,741,220 vs 783,562 km² · Higher wins ↑
Conquered Türkiye.
Other category comparisons 4 other winning choices
All eight categories for Australia against Türkiye
Category
Australia
Türkiye
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
783,562
Would win
Populationpeople · Higher wins ↑
26,659,922
85,325,965
Would lose
Wealth per personint’l $ · Higher wins ↑
72,273
43,196
Would win
Densityper km² · Higher wins ↑
3.4
108.9
Would lose
Highest peakm · Higher wins ↑
2,228
5,137
Would lose
Coastlinekm · Higher wins ↑
25,760
7,200
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
39.1° N
Would win
94
Round 94Won106 countries · 4 lives left
CameroonvsHungary
Population: 28,372,687 vs 9,592,186 people · Higher wins ↑
Conquered Hungary.
Other category comparisons 4 other winning choices
All eight categories for Cameroon against Hungary
Category
Cameroon
Hungary
Result
Areakm² · Higher wins ↑
475,440
93,028
Would win
Populationpeople · Higher wins ↑ · Chosen
28,372,687
9,592,186
Would win
Wealth per personint’l $ · Higher wins ↑
5,415
46,376
Would lose
Densityper km² · Higher wins ↑
59.7
103.1
Would lose
Highest peakm · Higher wins ↑
4,045
1,014
Would win
Coastlinekm · Higher wins ↑
402
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
47.3° N
Would win
95
Round 95Won107 countries · 4 lives left
TanzaniavsBolivia
Population: 66,617,606 vs 12,244,159 people · Higher wins ↑
Conquered Bolivia.
Other category comparisons 3 other winning choices
All eight categories for Tanzania against Bolivia
Category
Tanzania
Bolivia
Result
Areakm² · Higher wins ↑
947,300
1,098,581
Would lose
Populationpeople · Higher wins ↑ · Chosen
66,617,606
12,244,159
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
12,903
Would lose
Densityper km² · Higher wins ↑
70.3
11.1
Would win
Highest peakm · Higher wins ↑
5,895
6,542
Would lose
Coastlinekm · Higher wins ↑
1,424
0
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
16.7° S
Would win
96
Round 96Won108 countries · 4 lives left
UzbekistanvsQatar
Population: 35,652,307 vs 2,656,032 people · Higher wins ↑
Conquered Qatar.
Other category comparisons 3 other winning choices
All eight categories for Uzbekistan against Qatar
Category
Uzbekistan
Qatar
Result
Areakm² · Higher wins ↑
447,400
11,586
Would win
Populationpeople · Higher wins ↑ · Chosen
35,652,307
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑
11,679
129,025
Would lose
Densityper km² · Higher wins ↑
79.7
229.2
Would lose
Highest peakm · Higher wins ↑
4,643
103
Would win
Coastlinekm · Higher wins ↑
0
563
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
25.1° N
Would lose
97
Round 97Won109 countries · 4 lives left
UruguayvsBelarus
Proximity to equator: 32.9° S vs 53.8° N from the equator · Closer wins ↓
Conquered Belarus.
Other category comparisons 4 other winning choices
All eight categories for Uruguay against Belarus
Category
Uruguay
Belarus
Result
Areakm² · Higher wins ↑
176,215
207,600
Would lose
Populationpeople · Higher wins ↑
3,388,081
9,178,298
Would lose
Wealth per personint’l $ · Higher wins ↑
34,546
30,860
Would win
Densityper km² · Higher wins ↑
19.2
44.2
Would lose
Highest peakm · Higher wins ↑
514
346
Would win
Coastlinekm · Higher wins ↑
660
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
32.9° S
53.8° N
Would win
98
Round 98Won110 countries · 4 lives left
SerbiavsTajikistan
Wealth per person: 29,777 vs 4,968 int’l $ · Higher wins ↑
Conquered Tajikistan.
Other category comparisons 2 other winning choices
All eight categories for Serbia against Tajikistan
Category
Serbia
Tajikistan
Result
Areakm² · Higher wins ↑
77,474
144,100
Would lose
Populationpeople · Higher wins ↑
6,623,183
10,389,799
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
29,777
4,968
Would win
Densityper km² · Higher wins ↑
85.5
72.1
Would win
Highest peakm · Higher wins ↑
2,169
7,495
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
44.2° N
38.3° N
Would lose
99
Round 99Won111 countries · 4 lives left
VietnamvsSouth Sudan
Population: 100,352,192 vs 11,483,374 people · Higher wins ↑
Conquered South Sudan.
Other category comparisons 2 other winning choices
All eight categories for Vietnam against South Sudan
Category
Vietnam
South Sudan
Result
Areakm² · Higher wins ↑
331,210
644,329
Would lose
Populationpeople · Higher wins ↑ · Chosen
100,352,192
11,483,374
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
15,034
Unavailable
Unavailable
Densityper km² · Higher wins ↑
303.0
17.8
Would win
Highest peakm · Higher wins ↑
3,144
3,187
Would lose
Coastlinekm · Higher wins ↑
3,444
0
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
7.1° N
Would lose
100
Round 100Won112 countries · 4 lives left
BangladeshvsMauritania
Population: 171,466,990 vs 5,022,441 people · Higher wins ↑
Conquered Mauritania.
Other category comparisons 3 other winning choices
All eight categories for Bangladesh against Mauritania
Category
Bangladesh
Mauritania
Result
Areakm² · Higher wins ↑
148,460
1,030,700
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
6,972
Would win
Densityper km² · Higher wins ↑
1,155.0
4.9
Would win
Highest peakm · Higher wins ↑
1,060
915
Would win
Coastlinekm · Higher wins ↑
580
754
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Norwayvs
Indonesia
Iran
Chile
Libya
Sudan
France
Eritrea
Pakistan
Cyprus
Benin
Lithuania
Estonia
Liberia
Burundi
Saudi Arabia
Côte d’Ivoire
Ghana
New Zealand
Namibia
Sierra Leone
Iceland
Singapore
Laos
Australia
Türkiye
Cameroon
Hungary
Tanzania
Bolivia
Uzbekistan
Qatar
Uruguay
Belarus
Serbia
Tajikistan
Vietnam
South Sudan
Bangladesh
Mauritania