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 81Won89 countries · 2 lives left
LibyavsGuatemala
Area: 1,759,540 vs 108,889 km² · Higher wins ↑
Conquered Guatemala.
Other category comparisons 2 other winning choices
All eight categories for Libya against Guatemala
Category
Libya
Guatemala
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
108,889
Would win
Populationpeople · Higher wins ↑
7,305,659
18,124,838
Would lose
Wealth per personint’l $ · Higher wins ↑
13,858
13,752
Would win
Densityper km² · Higher wins ↑
4.2
166.5
Would lose
Highest peakm · Higher wins ↑
2,267
4,220
Would lose
Coastlinekm · Higher wins ↑
1,770
400
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
15.0° N
Would lose
82
Round 82Won90 countries · 2 lives left
HondurasvsEthiopia
Wealth per person: 7,184 vs 3,063 int’l $ · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 1 other winning choice
All eight categories for Honduras against Ethiopia
Category
Honduras
Ethiopia
Result
Areakm² · Higher wins ↑
112,090
1,104,300
Would lose
Populationpeople · Higher wins ↑
10,644,851
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
7,184
3,063
Would win
Densityper km² · Higher wins ↑
95.0
116.5
Would lose
Highest peakm · Higher wins ↑
2,870
4,550
Would lose
Coastlinekm · Higher wins ↑
823
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
14.7° N
8.5° N
Would lose
83
Round 83Won91 countries · 2 lives left
NepalvsUganda
Highest peak: 8,849 vs 5,110 m · Higher wins ↑
Conquered Uganda.
Other category comparisons 1 other winning choice
All eight categories for Nepal against Uganda
Category
Nepal
Uganda
Result
Areakm² · Higher wins ↑
147,181
241,038
Would lose
Populationpeople · Higher wins ↑
29,694,614
48,656,601
Would lose
Wealth per personint’l $ · Higher wins ↑
5,400
3,100
Would win
Densityper km² · Higher wins ↑
201.8
201.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
8,849
5,110
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
2.0° N
Would lose
84
Round 84Won92 countries · 2 lives left
BulgariavsAndorra
Area: 110,879 vs 468 km² · Higher wins ↑
Conquered Andorra.
Other category comparisons 2 other winning choices
All eight categories for Bulgaria against Andorra
Category
Bulgaria
Andorra
Result
Areakm² · Higher wins ↑ · Chosen
110,879
468
Would win
Populationpeople · Higher wins ↑
6,446,596
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
38,829
71,790
Would lose
Densityper km² · Higher wins ↑
58.1
172.8
Would lose
Highest peakm · Higher wins ↑
2,925
2,946
Would lose
Coastlinekm · Higher wins ↑
354
0
Would win
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
42.5° N
Would tie
85
Round 85Won93 countries · 2 lives left
ZimbabwevsPapua New Guinea
Population: 16,340,822 vs 10,389,635 people · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 3 other winning choices
All eight categories for Zimbabwe against Papua New Guinea
Category
Zimbabwe
Papua New Guinea
Result
Areakm² · Higher wins ↑
390,757
462,840
Would lose
Populationpeople · Higher wins ↑ · Chosen
16,340,822
10,389,635
Would win
Wealth per personint’l $ · Higher wins ↑
5,796
4,672
Would win
Densityper km² · Higher wins ↑
41.8
22.4
Would win
Highest peakm · Higher wins ↑
2,592
4,509
Would lose
Coastlinekm · Higher wins ↑
0
5,152
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
5.5° S
Would lose
86
Round 86Won94 countries · 2 lives left
TürkiyevsSolomon Islands
Population: 85,325,965 vs 800,005 people · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 5 other winning choices
All eight categories for Türkiye against Solomon Islands
Category
Türkiye
Solomon Islands
Result
Areakm² · Higher wins ↑
783,562
28,896
Would win
Populationpeople · Higher wins ↑ · Chosen
85,325,965
800,005
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
2,599
Would win
Densityper km² · Higher wins ↑
108.9
27.7
Would win
Highest peakm · Higher wins ↑
5,137
2,335
Would win
Coastlinekm · Higher wins ↑
7,200
5,313
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
9.6° S
Would lose
87
Round 87Won95 countries · 2 lives left
IcelandvsRwanda
Coastline: 4,970 vs 0 km · Higher wins ↑
Conquered Rwanda.
Other category comparisons 2 other winning choices
All eight categories for Iceland against Rwanda
Category
Iceland
Rwanda
Result
Areakm² · Higher wins ↑
103,000
26,338
Would win
Populationpeople · Higher wins ↑
385,663
13,954,471
Would lose
Wealth per personint’l $ · Higher wins ↑
82,257
3,519
Would win
Densityper km² · Higher wins ↑
3.7
529.8
Would lose
Highest peakm · Higher wins ↑
2,110
4,519
Would lose
Coastlinekm · Higher wins ↑ · Chosen
4,970
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
1.8° S
Would lose
88
Round 88Won96 countries · 2 lives left
PhilippinesvsAustralia
Population: 114,891,199 vs 26,659,922 people · Higher wins ↑
Conquered Australia.
Other category comparisons 5 other winning choices
All eight categories for Philippines against Australia
Category
Philippines
Australia
Result
Areakm² · Higher wins ↑
300,000
7,741,220
Would lose
Populationpeople · Higher wins ↑ · Chosen
114,891,199
26,659,922
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
72,273
Would lose
Densityper km² · Higher wins ↑
383.0
3.4
Would win
Highest peakm · Higher wins ↑
2,954
2,228
Would win
Coastlinekm · Higher wins ↑
36,289
25,760
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
23.1° S
Would win
89
Round 89Won97 countries · 2 lives left
South SudanvsIndia
Proximity to equator: 7.1° N vs 22.4° N from the equator · Closer wins ↓
Conquered India.
Other category comparisons 1 other winning choice
All eight categories for South Sudan against India
Category
South Sudan
India
Result
Areakm² · Higher wins ↑
644,329
3,287,263
Would lose
Populationpeople · Higher wins ↑
11,483,374
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
9,853
Unavailable
Densityper km² · Higher wins ↑
17.8
437.5
Would lose
Highest peakm · Higher wins ↑
3,187
8,586
Would lose
Coastlinekm · Higher wins ↑
0
7,000
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.1° N
22.4° N
Would win
90
Round 90Won98 countries · 2 lives left
AustriavsIran
Wealth per person: 74,261 vs 18,933 int’l $ · Higher wins ↑
Conquered Iran.
Other category comparisons 1 other winning choice
All eight categories for Austria against Iran
Category
Austria
Iran
Result
Areakm² · Higher wins ↑
83,871
1,648,195
Would lose
Populationpeople · Higher wins ↑
9,131,761
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
74,261
18,933
Would win
Densityper km² · Higher wins ↑
108.9
55.0
Would win
Highest peakm · Higher wins ↑
3,798
5,625
Would lose
Coastlinekm · Higher wins ↑
0
2,440
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
32.1° N
Would lose
91
Round 91Won99 countries · 2 lives left
ItalyvsCameroon
Population: 58,984,216 vs 28,372,687 people · Higher wins ↑
Conquered Cameroon.
Other category comparisons 4 other winning choices
All eight categories for Italy against Cameroon
Category
Italy
Cameroon
Result
Areakm² · Higher wins ↑
301,340
475,440
Would lose
Populationpeople · Higher wins ↑ · Chosen
58,984,216
28,372,687
Would win
Wealth per personint’l $ · Higher wins ↑
60,350
5,415
Would win
Densityper km² · Higher wins ↑
195.7
59.7
Would win
Highest peakm · Higher wins ↑
4,748
4,045
Would win
Coastlinekm · Higher wins ↑
7,600
402
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
4.5° N
Would lose
92
Round 92Won100 countries · 2 lives left
GambiavsGermany
Proximity to equator: 13.6° N vs 51.0° N from the equator · Closer wins ↓
Conquered Germany.
Other category comparisons 2 other winning choices
All eight categories for Gambia against Germany
Category
Gambia
Germany
Result
Areakm² · Higher wins ↑
11,300
357,022
Would lose
Populationpeople · Higher wins ↑
2,697,845
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
3,292
72,262
Would lose
Densityper km² · Higher wins ↑
238.7
233.3
Would win
Highest peakm · Higher wins ↑
63
2,963
Would lose
Coastlinekm · Higher wins ↑
80
2,389
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.6° N
51.0° N
Would win
93
Round 93Won101 countries · 2 lives left
DenmarkvsIreland
Population: 5,946,952 vs 5,311,538 people · Higher wins ↑
Conquered Ireland.
Other category comparisons 2 other winning choices
All eight categories for Denmark against Ireland
Category
Denmark
Ireland
Result
Areakm² · Higher wins ↑
43,094
70,273
Would lose
Populationpeople · Higher wins ↑ · Chosen
5,946,952
5,311,538
Would win
Wealth per personint’l $ · Higher wins ↑
77,425
133,440
Would lose
Densityper km² · Higher wins ↑
138.0
75.6
Would win
Highest peakm · Higher wins ↑
171
1,041
Would lose
Coastlinekm · Higher wins ↑
7,314
1,448
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
53.1° N
Would lose
94
Round 94Won102 countries · 2 lives left
BotswanavsMalta
Area: 581,730 vs 316 km² · Higher wins ↑
Conquered Malta.
Other category comparisons 3 other winning choices
All eight categories for Botswana against Malta
Category
Botswana
Malta
Result
Areakm² · Higher wins ↑ · Chosen
581,730
316
Would win
Populationpeople · Higher wins ↑
2,480,244
552,747
Would win
Wealth per personint’l $ · Higher wins ↑
21,029
67,101
Would lose
Densityper km² · Higher wins ↑
4.3
1,749.2
Would lose
Highest peakm · Higher wins ↑
1,495
253
Would win
Coastlinekm · Higher wins ↑
0
196.8
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
22.1° S
35.9° N
Would win
95
Round 95Won103 countries · 2 lives left
MyanmarvsSierra Leone
Highest peak: 5,870 vs 1,948 m · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 5 other winning choices
All eight categories for Myanmar against Sierra Leone
Category
Myanmar
Sierra Leone
Result
Areakm² · Higher wins ↑
676,578
71,740
Would win
Populationpeople · Higher wins ↑
54,133,798
8,460,512
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
3,371
Would win
Densityper km² · Higher wins ↑
80.0
117.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
5,870
1,948
Would win
Coastlinekm · Higher wins ↑
1,930
402
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
8.7° N
Would lose
96
Round 96Won104 countries · 2 lives left
Côte d’IvoirevsCuba
Area: 322,463 vs 110,860 km² · Higher wins ↑
Conquered Cuba.
Other category comparisons 2 other winning choices
All eight categories for Côte d’Ivoire against Cuba
Category
Côte d’Ivoire
Cuba
Result
Areakm² · Higher wins ↑ · Chosen
322,463
110,860
Would win
Populationpeople · Higher wins ↑
31,165,654
11,019,931
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
7,243
Unavailable
Unavailable
Densityper km² · Higher wins ↑
96.6
99.4
Would lose
Highest peakm · Higher wins ↑
1,752
1,974
Would lose
Coastlinekm · Higher wins ↑
515
3,735
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.5° N
20.6° N
Would win
97
Round 97Won105 countries · 2 lives left
Trinidad and TobagovsSpain
Density: 266.7 vs 95.7 per km² · Higher wins ↑
Conquered Spain.
Other category comparisons 1 other winning choice
All eight categories for Trinidad and Tobago against Spain
Category
Trinidad and Tobago
Spain
Result
Areakm² · Higher wins ↑
5,128
505,370
Would lose
Populationpeople · Higher wins ↑
1,367,510
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑
34,652
55,661
Would lose
Densityper km² · Higher wins ↑ · Chosen
266.7
95.7
Would win
Highest peakm · Higher wins ↑
940
3,718
Would lose
Coastlinekm · Higher wins ↑
362
4,964
Would lose
Flag colourscolours · Higher wins ↑
3
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.3° N
40.0° N
Would win
98
Round 98Won106 countries · 2 lives left
MalawivsLesotho
Area: 118,484 vs 30,355 km² · Higher wins ↑
Conquered Lesotho.
Other category comparisons 3 other winning choices
All eight categories for Malawi against Lesotho
Category
Malawi
Lesotho
Result
Areakm² · Higher wins ↑ · Chosen
118,484
30,355
Would win
Populationpeople · Higher wins ↑
21,104,482
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
2,880
Would lose
Densityper km² · Higher wins ↑
178.1
76.1
Would win
Highest peakm · Higher wins ↑
3,002
3,482
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.4° S
29.4° S
Would win
99
Round 99Won107 countries · 2 lives left
SyriavsMontenegro
Area: 187,437 vs 13,812 km² · Higher wins ↑
Conquered Montenegro.
Other category comparisons 4 other winning choices
All eight categories for Syria against Montenegro
Category
Syria
Montenegro
Result
Areakm² · Higher wins ↑ · Chosen
187,437
13,812
Would win
Populationpeople · Higher wins ↑
23,594,623
623,529
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
31,863
Unavailable
Densityper km² · Higher wins ↑
125.9
45.1
Would win
Highest peakm · Higher wins ↑
2,814
2,534
Would win
Coastlinekm · Higher wins ↑
193
293.5
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.0° N
42.8° N
Would win
100
Round 100Won108 countries · 2 lives left
AlbaniavsCroatia
Proximity to equator: 40.7° N vs 45.8° N from the equator · Closer wins ↓
Conquered Croatia.
Other category comparisons 2 other winning choices
All eight categories for Albania against Croatia
Category
Albania
Croatia
Result
Areakm² · Higher wins ↑
28,748
56,594
Would lose
Populationpeople · Higher wins ↑
2,411,658
3,859,686
Would lose
Wealth per personint’l $ · Higher wins ↑
24,848
47,760
Would lose
Densityper km² · Higher wins ↑
83.9
68.2
Would win
Highest peakm · Higher wins ↑
2,764
1,831
Would win
Coastlinekm · Higher wins ↑
362
5,835
Would lose
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Libyavs
Guatemala
Honduras
Ethiopia
Nepal
Uganda
Bulgaria
Andorra
Zimbabwe
Papua New Guinea
Türkiye
Solomon Islands
Iceland
Rwanda
Philippines
Australia
South Sudan
India
Austria
Iran
Italy
Cameroon
Gambia
Germany
Denmark
Ireland
Botswana
Malta
Myanmar
Sierra Leone
Côte d’Ivoire
Cuba
Trinidad and Tobago
Spain
Malawi
Lesotho
Syria
Montenegro
Albania
Croatia