Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
161
Round 161Won167 countries · 1 life left
MaltavsCôte d’Ivoire
Density: 1,749.2 vs 96.6 per km² · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 1 other winning choice
All eight categories for Malta against Côte d’Ivoire
Category
Malta
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
316
322,463
Would lose
Populationpeople · Higher wins ↑
552,747
31,165,654
Would lose
Wealth per personint’l $ · Higher wins ↑
67,101
7,243
Would win
Densityper km² · Higher wins ↑ · Chosen
1,749.2
96.6
Would win
Highest peakm · Higher wins ↑
253
1,752
Would lose
Coastlinekm · Higher wins ↑
196.8
515
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
7.5° N
Would lose
162
Round 162Won168 countries · 1 life left
YemenvsDenmark
Area: 527,968 vs 43,094 km² · Higher wins ↑
Conquered Denmark.
Other category comparisons 4 other winning choices
All eight categories for Yemen against Denmark
Category
Yemen
Denmark
Result
Areakm² · Higher wins ↑ · Chosen
527,968
43,094
Would win
Populationpeople · Higher wins ↑
39,390,799
5,946,952
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
77,425
Unavailable
Densityper km² · Higher wins ↑
74.6
138.0
Would lose
Highest peakm · Higher wins ↑
3,666
171
Would win
Coastlinekm · Higher wins ↑
1,906
7,314
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
55.9° N
Would win
163
Round 163Won169 countries · 1 life left
TanzaniavsMongolia
Population: 66,617,606 vs 3,481,145 people · Higher wins ↑
Conquered Mongolia.
Other category comparisons 5 other winning choices
All eight categories for Tanzania against Mongolia
Category
Tanzania
Mongolia
Result
Areakm² · Higher wins ↑
947,300
1,564,116
Would lose
Populationpeople · Higher wins ↑ · Chosen
66,617,606
3,481,145
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
18,020
Would lose
Densityper km² · Higher wins ↑
70.3
2.2
Would win
Highest peakm · Higher wins ↑
5,895
4,374
Would win
Coastlinekm · Higher wins ↑
1,424
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
46.0° N
Would win
164
Round 164Won170 countries · 1 life left
Burkina FasovsComoros
Area: 274,200 vs 2,235 km² · Higher wins ↑
Conquered Comoros.
Other category comparisons 1 other winning choice
All eight categories for Burkina Faso against Comoros
Category
Burkina Faso
Comoros
Result
Areakm² · Higher wins ↑ · Chosen
274,200
2,235
Would win
Populationpeople · Higher wins ↑
23,025,776
850,387
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
3,897
Would lose
Densityper km² · Higher wins ↑
84.0
380.5
Would lose
Highest peakm · Higher wins ↑
749
2,360
Would lose
Coastlinekm · Higher wins ↑
0
340
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.8° N
11.7° S
Would lose
165
Round 165Won171 countries · 1 life left
RussiavsLuxembourg
Area: 17,098,242 vs 2,586 km² · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 3 other winning choices
All eight categories for Russia against Luxembourg
Category
Russia
Luxembourg
Result
Areakm² · Higher wins ↑ · Chosen
17,098,242
2,586
Would win
Populationpeople · Higher wins ↑
143,826,130
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
152,596
Would lose
Densityper km² · Higher wins ↑
8.4
257.7
Would lose
Highest peakm · Higher wins ↑
5,642
559
Would win
Coastlinekm · Higher wins ↑
37,653
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
49.7° N
Would lose
166
Round 166Won172 countries · 1 life left
MoroccovsNicaragua
Population: 37,712,505 vs 6,823,613 people · Higher wins ↑
Conquered Nicaragua.
Other category comparisons 5 other winning choices
All eight categories for Morocco against Nicaragua
Category
Morocco
Nicaragua
Result
Areakm² · Higher wins ↑
446,550
130,370
Would win
Populationpeople · Higher wins ↑ · Chosen
37,712,505
6,823,613
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
8,327
Would win
Densityper km² · Higher wins ↑
84.5
52.3
Would win
Highest peakm · Higher wins ↑
4,165
2,085
Would win
Coastlinekm · Higher wins ↑
1,835
910
Would win
Flag colourscolours · Higher wins ↑
2
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
12.6° N
Would lose
167
Round 167Won173 countries · 1 life left
LithuaniavsEthiopia
Wealth per person: 52,720 vs 3,063 int’l $ · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 1 other winning choice
All eight categories for Lithuania against Ethiopia
Category
Lithuania
Ethiopia
Result
Areakm² · Higher wins ↑
65,300
1,104,300
Would lose
Populationpeople · Higher wins ↑
2,871,585
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
3,063
Would win
Densityper km² · Higher wins ↑
44.0
116.5
Would lose
Highest peakm · Higher wins ↑
294
4,550
Would lose
Coastlinekm · Higher wins ↑
90
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
8.5° N
Would lose
168
Round 168Won174 countries · 1 life left
GuineavsOman
Proximity to equator: 10.7° N vs 22.1° N from the equator · Closer wins ↓
Conquered Oman.
Other category comparisons 2 other winning choices
All eight categories for Guinea against Oman
Category
Guinea
Oman
Result
Areakm² · Higher wins ↑
245,857
309,500
Would lose
Populationpeople · Higher wins ↑
14,405,468
5,049,269
Would win
Wealth per personint’l $ · Higher wins ↑
4,337
41,980
Would lose
Densityper km² · Higher wins ↑
58.6
16.3
Would win
Highest peakm · Higher wins ↑
1,752
3,004
Would lose
Coastlinekm · Higher wins ↑
320
2,092
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen