Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
61
Round 61Won73 countries · 4 lives left
Côte d’IvoirevsLebanon
Area: 322,463 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 3 other winning choices
All eight categories for Côte d’Ivoire against Lebanon
Category
Côte d’Ivoire
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
322,463
10,400
Would win
Populationpeople · Higher wins ↑
31,165,654
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
7,243
12,585
Would lose
Densityper km² · Higher wins ↑
96.6
555.1
Would lose
Highest peakm · Higher wins ↑
1,752
3,088
Would lose
Coastlinekm · Higher wins ↑
515
225
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.5° N
34.2° N
Would win
62
Round 62Won74 countries · 4 lives left
EstoniavsVenezuela
Coastline: 3,794 vs 2,800 km · Higher wins ↑
Conquered Venezuela.
Other category comparisons 0 other winning choices
All eight categories for Estonia against Venezuela
Category
Estonia
Venezuela
Result
Areakm² · Higher wins ↑
45,228
912,050
Would lose
Populationpeople · Higher wins ↑
1,370,286
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
48,848
Unavailable
Unavailable
Densityper km² · Higher wins ↑
30.3
31.0
Would lose
Highest peakm · Higher wins ↑
318
4,978
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,794
2,800
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
7.2° N
Would lose
63
Round 63Won75 countries · 4 lives left
EgyptvsCabo Verde
Population: 114,535,772 vs 522,331 people · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 3 other winning choices
All eight categories for Egypt against Cabo Verde
Category
Egypt
Cabo Verde
Result
Areakm² · Higher wins ↑
1,001,450
4,033
Would win
Populationpeople · Higher wins ↑ · Chosen
114,535,772
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
10,251
Would win
Densityper km² · Higher wins ↑
114.4
129.5
Would lose
Highest peakm · Higher wins ↑
2,629
2,829
Would lose
Coastlinekm · Higher wins ↑
2,450
965
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
15.0° N
Would lose
64
Round 64Won76 countries · 4 lives left
ZimbabwevsNigeria
Highest peak: 2,592 vs 2,419 m · Higher wins ↑
Conquered Nigeria.
Other category comparisons 1 other winning choice
All eight categories for Zimbabwe against Nigeria
Category
Zimbabwe
Nigeria
Result
Areakm² · Higher wins ↑
390,757
923,768
Would lose
Populationpeople · Higher wins ↑
16,340,822
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑
5,796
8,712
Would lose
Densityper km² · Higher wins ↑
41.8
246.7
Would lose
Highest peakm · Higher wins ↑ · Chosen
2,592
2,419
Would win
Coastlinekm · Higher wins ↑
0
853
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
9.4° N
Would lose
65
Round 65Won77 countries · 4 lives left
IcelandvsCentral African Republic
Wealth per person: 82,257 vs 1,258 int’l $ · Higher wins ↑
Conquered Central African Republic.
Other category comparisons 2 other winning choices
All eight categories for Iceland against Central African Republic
Category
Iceland
Central African Republic
Result
Areakm² · Higher wins ↑
103,000
622,984
Would lose
Populationpeople · Higher wins ↑
385,663
5,152,421
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
1,258
Would win
Densityper km² · Higher wins ↑
3.7
8.3
Would lose
Highest peakm · Higher wins ↑
2,110
1,410
Would win
Coastlinekm · Higher wins ↑
4,970
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
7.0° N
Would lose
66
Round 66Won78 countries · 4 lives left
BrazilvsLithuania
Population: 211,140,729 vs 2,871,585 people · Higher wins ↑
Conquered Lithuania.
Other category comparisons 5 other winning choices
All eight categories for Brazil against Lithuania
Category
Brazil
Lithuania
Result
Areakm² · Higher wins ↑
8,515,770
65,300
Would win
Populationpeople · Higher wins ↑ · Chosen
211,140,729
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
52,720
Would lose
Densityper km² · Higher wins ↑
24.8
44.0
Would lose
Highest peakm · Higher wins ↑
2,994
294
Would win
Coastlinekm · Higher wins ↑
7,491
90
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
55.1° N
Would win
67
Round 67Won79 countries · 4 lives left
GuatemalavsEcuador
Density: 166.5 vs 63.4 per km² · Higher wins ↑
Conquered Ecuador.
Other category comparisons 1 other winning choice
All eight categories for Guatemala against Ecuador
Category
Guatemala
Ecuador
Result
Areakm² · Higher wins ↑
108,889
283,561
Would lose
Populationpeople · Higher wins ↑
18,124,838
17,980,083
Would win
Wealth per personint’l $ · Higher wins ↑
13,752
15,907
Would lose
Densityper km² · Higher wins ↑ · Chosen
166.5
63.4
Would win
Highest peakm · Higher wins ↑
4,220
6,267
Would lose
Coastlinekm · Higher wins ↑
400
2,237
Would lose
Flag colourscolours · Higher wins ↑
9
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
1.2° S
Would lose
68
Round 68Won80 countries · 4 lives left
MalaysiavsMoldova
Population: 35,126,298 vs 2,457,783 people · Higher wins ↑
Conquered Moldova.
Other category comparisons 6 other winning choices
All eight categories for Malaysia against Moldova
Category
Malaysia
Moldova
Result
Areakm² · Higher wins ↑
329,847
33,851
Would win
Populationpeople · Higher wins ↑ · Chosen
35,126,298
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
17,751
Would win
Densityper km² · Higher wins ↑
106.5
72.6
Would win
Highest peakm · Higher wins ↑
4,095
430
Would win
Coastlinekm · Higher wins ↑
4,675
0
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
47.5° N
Would win
69
Round 69Won81 countries · 4 lives left
BangladeshvsSenegal
Population: 171,466,990 vs 18,077,573 people · Higher wins ↑
Conquered Senegal.
Other category comparisons 4 other winning choices
All eight categories for Bangladesh against Senegal
Category
Bangladesh
Senegal
Result
Areakm² · Higher wins ↑
148,460
196,722
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
18,077,573
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
4,782
Would win
Densityper km² · Higher wins ↑
1,155.0
91.9
Would win
Highest peakm · Higher wins ↑
1,060
648
Would win
Coastlinekm · Higher wins ↑
580
531
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
15.2° N
Would lose
70
Round 70Won82 countries · 4 lives left
TanzaniavsGambia
Area: 947,300 vs 11,300 km² · Higher wins ↑
Conquered Gambia.
Other category comparisons 5 other winning choices
All eight categories for Tanzania against Gambia
Category
Tanzania
Gambia
Result
Areakm² · Higher wins ↑ · Chosen
947,300
11,300
Would win
Populationpeople · Higher wins ↑
66,617,606
2,697,845
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
3,292
Would win
Densityper km² · Higher wins ↑
70.3
238.7
Would lose
Highest peakm · Higher wins ↑
5,895
63
Would win
Coastlinekm · Higher wins ↑
1,424
80
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
13.6° N
Would win
71
Round 71Won83 countries · 4 lives left
AndorravsKazakhstan
Wealth per person: 71,790 vs 38,547 int’l $ · Higher wins ↑
Conquered Kazakhstan.
Other category comparisons 3 other winning choices
All eight categories for Andorra against Kazakhstan
Category
Andorra
Kazakhstan
Result
Areakm² · Higher wins ↑
468
2,724,900
Would lose
Populationpeople · Higher wins ↑
80,856
20,330,104
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
71,790
38,547
Would win
Densityper km² · Higher wins ↑
172.8
7.5
Would win
Highest peakm · Higher wins ↑
2,946
7,010
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
7
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
48.5° N
Would win
72
Round 72Won84 countries · 4 lives left
Guinea-BissauvsBelarus
Proximity to equator: 12.1° N vs 53.8° N from the equator · Closer wins ↓
Conquered Belarus.
Other category comparisons 3 other winning choices
All eight categories for Guinea-Bissau against Belarus
Category
Guinea-Bissau
Belarus
Result
Areakm² · Higher wins ↑
36,125
207,600
Would lose
Populationpeople · Higher wins ↑
2,153,339
9,178,298
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
30,860
Would lose
Densityper km² · Higher wins ↑
59.6
44.2
Would win
Highest peakm · Higher wins ↑
277
346
Would lose
Coastlinekm · Higher wins ↑
350
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
53.8° N
Would win
73
Round 73Won85 countries · 4 lives left
FijivsRomania
Coastline: 1,129 vs 225 km · Higher wins ↑
Conquered Romania.
Other category comparisons 2 other winning choices
All eight categories for Fiji against Romania
Category
Fiji
Romania
Result
Areakm² · Higher wins ↑
18,274
238,391
Would lose
Populationpeople · Higher wins ↑
924,145
19,061,062
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
45,982
Would lose
Densityper km² · Higher wins ↑
50.6
80.0
Would lose
Highest peakm · Higher wins ↑
1,324
2,544
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,129
225
Would win
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.8° S
45.7° N
Would win
74
Round 74Won86 countries · 4 lives left
AustriavsDR Congo
Wealth per person: 74,261 vs 1,732 int’l $ · Higher wins ↑
Conquered DR Congo.
Other category comparisons 1 other winning choice
All eight categories for Austria against DR Congo
Category
Austria
DR Congo
Result
Areakm² · Higher wins ↑
83,871
2,344,858
Would lose
Populationpeople · Higher wins ↑
9,131,761
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
74,261
1,732
Would win
Densityper km² · Higher wins ↑
108.9
45.1
Would win
Highest peakm · Higher wins ↑
3,798
5,110
Would lose
Coastlinekm · Higher wins ↑
0
37
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
1.9° S
Would lose
75
Round 75Won87 countries · 4 lives left
BelizevsPortugal
Proximity to equator: 17.0° N vs 40.7° N from the equator · Closer wins ↓
Conquered Portugal.
Other category comparisons 1 other winning choice
All eight categories for Belize against Portugal
Category
Belize
Portugal
Result
Areakm² · Higher wins ↑
22,966
92,090
Would lose
Populationpeople · Higher wins ↑
411,106
10,578,174
Would lose
Wealth per personint’l $ · Higher wins ↑
13,741
49,800
Would lose
Densityper km² · Higher wins ↑
17.9
114.9
Would lose
Highest peakm · Higher wins ↑
1,124
2,351
Would lose
Coastlinekm · Higher wins ↑
386
1,793
Would lose
Flag colourscolours · Higher wins ↑
12
6
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
17.0° N
40.7° N
Would win
76
Round 76Won88 countries · 4 lives left
VanuatuvsDenmark
Proximity to equator: 15.4° S vs 55.9° N from the equator · Closer wins ↓
Conquered Denmark.
Other category comparisons 2 other winning choices
All eight categories for Vanuatu against Denmark
Category
Vanuatu
Denmark
Result
Areakm² · Higher wins ↑
12,189
43,094
Would lose
Populationpeople · Higher wins ↑
320,409
5,946,952
Would lose
Wealth per personint’l $ · Higher wins ↑
4,202
77,425
Would lose
Densityper km² · Higher wins ↑
26.3
138.0
Would lose
Highest peakm · Higher wins ↑
1,877
171
Would win
Coastlinekm · Higher wins ↑
2,528
7,314
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.4° S
55.9° N
Would win
77
Round 77Won89 countries · 4 lives left
PolandvsBrunei
Population: 36,687,353 vs 458,949 people · Higher wins ↑
Conquered Brunei.
Other category comparisons 4 other winning choices
All eight categories for Poland against Brunei
Category
Poland
Brunei
Result
Areakm² · Higher wins ↑
312,685
5,765
Would win
Populationpeople · Higher wins ↑ · Chosen
36,687,353
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
48,473
85,103
Would lose
Densityper km² · Higher wins ↑
117.3
79.6
Would win
Highest peakm · Higher wins ↑
2,499
1,850
Would win
Coastlinekm · Higher wins ↑
440
161
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
4.5° N
Would lose
78
Round 78Won90 countries · 4 lives left
South SudanvsUnited Kingdom
Proximity to equator: 7.1° N vs 52.5° N from the equator · Closer wins ↓
Conquered United Kingdom.
Other category comparisons 3 other winning choices
All eight categories for South Sudan against United Kingdom
Category
South Sudan
United Kingdom
Result
Areakm² · Higher wins ↑
644,329
243,610
Would win
Populationpeople · Higher wins ↑
11,483,374
68,526,000
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
60,787
Unavailable
Densityper km² · Higher wins ↑
17.8
281.3
Would lose
Highest peakm · Higher wins ↑
3,187
1,345
Would win
Coastlinekm · Higher wins ↑
0
12,429
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.1° N
52.5° N
Would win
79
Round 79Won91 countries · 4 lives left
SwedenvsSwitzerland
Area: 450,295 vs 41,277 km² · Higher wins ↑
Conquered Switzerland.
Other category comparisons 2 other winning choices
All eight categories for Sweden against Switzerland
Category
Sweden
Switzerland
Result
Areakm² · Higher wins ↑ · Chosen
450,295
41,277
Would win
Populationpeople · Higher wins ↑
10,536,632
8,888,822
Would win
Wealth per personint’l $ · Higher wins ↑
68,458
93,940
Would lose
Densityper km² · Higher wins ↑
23.4
215.3
Would lose
Highest peakm · Higher wins ↑
2,100
4,634
Would lose
Coastlinekm · Higher wins ↑
3,218
0
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
65.8° N
46.7° N
Would lose
80
Round 80Won92 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 ↓
Côte d’Ivoirevs
Lebanon
Estonia
Venezuela
Egypt
Cabo Verde
Zimbabwe
Nigeria
Iceland
Central African Republic
Brazil
Lithuania
Guatemala
Ecuador
Malaysia
Moldova
Bangladesh
Senegal
Tanzania
Gambia
Andorra
Kazakhstan
Guinea-Bissau
Belarus
Fiji
Romania
Austria
DR Congo
Belize
Portugal
Vanuatu
Denmark
Poland
Brunei
South Sudan
United Kingdom
Sweden
Switzerland
France
Eritrea