Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
1
Round 1Won13 countries · 4 lives left
EthiopiavsSri Lanka
Area: 1,104,300 vs 65,610 km² · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 2 other winning choices
All eight categories for Ethiopia against Sri Lanka
Category
Ethiopia
Sri Lanka
Result
Areakm² · Higher wins ↑ · Chosen
1,104,300
65,610
Would win
Populationpeople · Higher wins ↑
128,691,692
22,037,000
Would win
Wealth per personint’l $ · Higher wins ↑
3,063
14,512
Would lose
Densityper km² · Higher wins ↑
116.5
335.9
Would lose
Highest peakm · Higher wins ↑
4,550
2,524
Would win
Coastlinekm · Higher wins ↑
0
1,340
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.5° N
7.1° N
Would lose
2
Round 2Won14 countries · 4 lives left
MauritiusvsGuinea
Density: 612.1 vs 58.6 per km² · Higher wins ↑
Conquered Guinea.
Other category comparisons 2 other winning choices
All eight categories for Mauritius against Guinea
Category
Mauritius
Guinea
Result
Areakm² · Higher wins ↑
2,040
245,857
Would lose
Populationpeople · Higher wins ↑
1,248,647
14,405,468
Would lose
Wealth per personint’l $ · Higher wins ↑
29,403
4,337
Would win
Densityper km² · Higher wins ↑ · Chosen
612.1
58.6
Would win
Highest peakm · Higher wins ↑
828
1,752
Would lose
Coastlinekm · Higher wins ↑
177
320
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
20.3° S
10.7° N
Would lose
3
Round 3Won15 countries · 4 lives left
GermanyvsBelize
Area: 357,022 vs 22,966 km² · Higher wins ↑
Conquered Belize.
Other category comparisons 5 other winning choices
All eight categories for Germany against Belize
Category
Germany
Belize
Result
Areakm² · Higher wins ↑ · Chosen
357,022
22,966
Would win
Populationpeople · Higher wins ↑
83,287,273
411,106
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
13,741
Would win
Densityper km² · Higher wins ↑
233.3
17.9
Would win
Highest peakm · Higher wins ↑
2,963
1,124
Would win
Coastlinekm · Higher wins ↑
2,389
386
Would win
Flag colourscolours · Higher wins ↑
3
12
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
17.0° N
Would lose
4
Round 4Won16 countries · 4 lives left
AngolavsTimor-Leste
Area: 1,246,700 vs 14,874 km² · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 3 other winning choices
All eight categories for Angola against Timor-Leste
Category
Angola
Timor-Leste
Result
Areakm² · Higher wins ↑ · Chosen
1,246,700
14,874
Would win
Populationpeople · Higher wins ↑
36,749,906
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑
9,550
4,811
Would win
Densityper km² · Higher wins ↑
29.5
93.1
Would lose
Highest peakm · Higher wins ↑
2,620
2,963
Would lose
Coastlinekm · Higher wins ↑
1,600
706
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.2° S
8.9° S
Would lose
5
Round 5Won17 countries · 4 lives left
SerbiavsUnited Kingdom
Proximity to equator: 44.2° N vs 52.5° N from the equator · Closer wins ↓
Conquered United Kingdom.
Other category comparisons 2 other winning choices
All eight categories for Serbia against United Kingdom
Category
Serbia
United Kingdom
Result
Areakm² · Higher wins ↑
77,474
243,610
Would lose
Populationpeople · Higher wins ↑
6,623,183
68,526,000
Would lose
Wealth per personint’l $ · Higher wins ↑
29,777
60,787
Would lose
Densityper km² · Higher wins ↑
85.5
281.3
Would lose
Highest peakm · Higher wins ↑
2,169
1,345
Would win
Coastlinekm · Higher wins ↑
0
12,429
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
44.2° N
52.5° N
Would win
6
Round 6Won18 countries · 4 lives left
Dominican RepublicvsSenegal
Wealth per person: 25,861 vs 4,782 int’l $ · Higher wins ↑
Conquered Senegal.
Other category comparisons 4 other winning choices
All eight categories for Dominican Republic against Senegal
Category
Dominican Republic
Senegal
Result
Areakm² · Higher wins ↑
48,670
196,722
Would lose
Populationpeople · Higher wins ↑
11,331,265
18,077,573
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,861
4,782
Would win
Densityper km² · Higher wins ↑
232.8
91.9
Would win
Highest peakm · Higher wins ↑
3,098
648
Would win
Coastlinekm · Higher wins ↑
1,288
531
Would win
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.1° N
15.2° N
Would lose
7
Round 7Won19 countries · 4 lives left
TajikistanvsEquatorial Guinea
Area: 144,100 vs 28,051 km² · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 3 other winning choices
All eight categories for Tajikistan against Equatorial Guinea
Category
Tajikistan
Equatorial Guinea
Result
Areakm² · Higher wins ↑ · Chosen
144,100
28,051
Would win
Populationpeople · Higher wins ↑
10,389,799
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑
4,968
16,997
Would lose
Densityper km² · Higher wins ↑
72.1
65.9
Would win
Highest peakm · Higher wins ↑
7,495
3,008
Would win
Coastlinekm · Higher wins ↑
0
296
Would lose
Flag colourscolours · Higher wins ↑
4
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
1.6° N
Would lose
8
Round 8Won20 countries · 4 lives left
PalestinevsMozambique
Density: 830.5 vs 42.1 per km² · Higher wins ↑
Conquered Mozambique.
Other category comparisons 1 other winning choice
All eight categories for Palestine against Mozambique
Category
Palestine
Mozambique
Result
Areakm² · Higher wins ↑
6,220
799,380
Would lose
Populationpeople · Higher wins ↑
5,165,775
33,635,160
Would lose
Wealth per personint’l $ · Higher wins ↑
6,179
1,680
Would win
Densityper km² · Higher wins ↑ · Chosen
830.5
42.1
Would win
Highest peakm · Higher wins ↑
1,020
2,436
Would lose
Coastlinekm · Higher wins ↑
40
2,470
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
14.0° S
Would lose
9
Round 9Won21 countries · 4 lives left
AndorravsVenezuela
Density: 172.8 vs 31.0 per km² · Higher wins ↑
Conquered Venezuela.
Other category comparisons 1 other winning choice
All eight categories for Andorra against Venezuela
Category
Andorra
Venezuela
Result
Areakm² · Higher wins ↑
468
912,050
Would lose
Populationpeople · Higher wins ↑
80,856
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
71,790
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
172.8
31.0
Would win
Highest peakm · Higher wins ↑
2,946
4,978
Would lose
Coastlinekm · Higher wins ↑
0
2,800
Would lose
Flag colourscolours · Higher wins ↑
7
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
7.2° N
Would lose
10
Round 10Won22 countries · 4 lives left
BangladeshvsSlovakia
Population: 171,466,990 vs 5,426,740 people · Higher wins ↑
Conquered Slovakia.
Other category comparisons 4 other winning choices
All eight categories for Bangladesh against Slovakia
Category
Bangladesh
Slovakia
Result
Areakm² · Higher wins ↑
148,460
49,035
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
5,426,740
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
45,865
Would lose
Densityper km² · Higher wins ↑
1,155.0
110.7
Would win
Highest peakm · Higher wins ↑
1,060
2,655
Would lose
Coastlinekm · Higher wins ↑
580
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
48.7° N
Would win
11
Round 11Won23 countries · 4 lives left
ChinavsBurundi
Population: 1,410,710,000 vs 13,689,450 people · Higher wins ↑
Conquered Burundi.
Other category comparisons 4 other winning choices
All eight categories for China against Burundi
Category
China
Burundi
Result
Areakm² · Higher wins ↑
9,596,960
27,830
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
13,689,450
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
1,147
Would win
Densityper km² · Higher wins ↑
147.0
491.9
Would lose
Highest peakm · Higher wins ↑
8,849
2,685
Would win
Coastlinekm · Higher wins ↑
14,500
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
3.4° S
Would lose
12
Round 12Won24 countries · 4 lives left
MongoliavsLebanon
Area: 1,564,116 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 2 other winning choices
All eight categories for Mongolia against Lebanon
Category
Mongolia
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
1,564,116
10,400
Would win
Populationpeople · Higher wins ↑
3,481,145
5,773,493
Would lose
Wealth per personint’l $ · Higher wins ↑
18,020
12,585
Would win
Densityper km² · Higher wins ↑
2.2
555.1
Would lose
Highest peakm · Higher wins ↑
4,374
3,088
Would win
Coastlinekm · Higher wins ↑
0
225
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
34.2° N
Would lose
13
Round 13Won25 countries · 4 lives left
EthiopiavsNorth Macedonia
Population: 128,691,692 vs 1,827,816 people · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 5 other winning choices
All eight categories for Ethiopia against North Macedonia
Category
Ethiopia
North Macedonia
Result
Areakm² · Higher wins ↑
1,104,300
25,713
Would win
Populationpeople · Higher wins ↑ · Chosen
128,691,692
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑
3,063
25,354
Would lose
Densityper km² · Higher wins ↑
116.5
71.1
Would win
Highest peakm · Higher wins ↑
4,550
2,764
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.5° N
41.5° N
Would win
14
Round 14Won26 countries · 4 lives left
Sri LankavsLesotho
Flag colours: 5 vs 4 colours · Higher wins ↑
Conquered Lesotho.
Other category comparisons 6 other winning choices
All eight categories for Sri Lanka against Lesotho
Category
Sri Lanka
Lesotho
Result
Areakm² · Higher wins ↑
65,610
30,355
Would win
Populationpeople · Higher wins ↑
22,037,000
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
14,512
2,880
Would win
Densityper km² · Higher wins ↑
335.9
76.1
Would win
Highest peakm · Higher wins ↑
2,524
3,482
Would lose
Coastlinekm · Higher wins ↑
1,340
0
Would win
Flag colourscolours · Higher wins ↑ · Chosen
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
29.4° S
Would win
15
Round 15Won27 countries · 4 lives left
MauritiusvsMaldives
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Maldives.
Other category comparisons 4 other winning choices
All eight categories for Mauritius against Maldives
Category
Mauritius
Maldives
Result
Areakm² · Higher wins ↑
2,040
298
Would win
Populationpeople · Higher wins ↑
1,248,647
525,994
Would win
Wealth per personint’l $ · Higher wins ↑
29,403
24,807
Would win
Densityper km² · Higher wins ↑
612.1
1,765.1
Would lose
Highest peakm · Higher wins ↑
828
5
Would win
Coastlinekm · Higher wins ↑
177
644
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
20.3° S
3.3° N
Would lose
16
Round 16Won28 countries · 4 lives left
GuineavsBahrain
Area: 245,857 vs 760 km² · Higher wins ↑
Conquered Bahrain.
Other category comparisons 5 other winning choices
All eight categories for Guinea against Bahrain
Category
Guinea
Bahrain
Result
Areakm² · Higher wins ↑ · Chosen
245,857
760
Would win
Populationpeople · Higher wins ↑
14,405,468
1,577,059
Would win
Wealth per personint’l $ · Higher wins ↑
4,337
64,224
Would lose
Densityper km² · Higher wins ↑
58.6
2,075.1
Would lose
Highest peakm · Higher wins ↑
1,752
135
Would win
Coastlinekm · Higher wins ↑
320
161
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
10.7° N
26.0° N
Would win
17
Round 17Won29 countries · 4 lives left
GermanyvsBulgaria
Population: 83,287,273 vs 6,446,596 people · Higher wins ↑
Conquered Bulgaria.
Other category comparisons 5 other winning choices
All eight categories for Germany against Bulgaria
Category
Germany
Bulgaria
Result
Areakm² · Higher wins ↑
357,022
110,879
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
6,446,596
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
38,829
Would win
Densityper km² · Higher wins ↑
233.3
58.1
Would win
Highest peakm · Higher wins ↑
2,963
2,925
Would win
Coastlinekm · Higher wins ↑
2,389
354
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
42.5° N
Would lose
18
Round 18Lost28 countries · 3 lives left
BelizevsMali
Density: 17.9 vs 19.2 per km² · Higher wins ↑
Returned to the world: Belize.
Other category comparisons 4 other winning choices
All eight categories for Belize against Mali
Category
Belize
Mali
Result
Areakm² · Higher wins ↑
22,966
1,240,192
Would lose
Populationpeople · Higher wins ↑
411,106
23,769,127
Would lose
Wealth per personint’l $ · Higher wins ↑
13,741
3,178
Would win
Densityper km² · Higher wins ↑ · Chosen
17.9
19.2
Would lose
Highest peakm · Higher wins ↑
1,124
1,155
Would lose
Coastlinekm · Higher wins ↑
386
0
Would win
Flag colourscolours · Higher wins ↑
12
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
18.6° N
Would win
19
Round 19Lost27 countries · 2 lives left
AngolavsUkraine
Coastline: 1,600 vs 2,782 km · Higher wins ↑
Returned to the world: Angola.
Other category comparisons 4 other winning choices
All eight categories for Angola against Ukraine
Category
Angola
Ukraine
Result
Areakm² · Higher wins ↑
1,246,700
603,550
Would win
Populationpeople · Higher wins ↑
36,749,906
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑
9,550
17,680
Would lose
Densityper km² · Higher wins ↑
29.5
62.5
Would lose
Highest peakm · Higher wins ↑
2,620
2,061
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,600
2,782
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Ethiopiavs
Sri Lanka
Mauritius
Guinea
Germany
Belize
Angola
Timor-Leste
Serbia
United Kingdom
Dominican Republic
Senegal
Tajikistan
Equatorial Guinea
Palestine
Mozambique
Andorra
Venezuela
Bangladesh
Slovakia
China
Burundi
Mongolia
Lebanon
North Macedonia
Lesotho
Maldives
Bahrain
Bulgaria
Mali
Ukraine