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
EcuadorvsLebanon
Proximity to equator: 1.2° S vs 34.2° N from the equator · Closer wins ↓
Conquered Lebanon.
Other category comparisons 6 other winning choices
All eight categories for Ecuador against Lebanon
Category
Ecuador
Lebanon
Result
Areakm² · Higher wins ↑
283,561
10,400
Would win
Populationpeople · Higher wins ↑
17,980,083
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
15,907
12,585
Would win
Densityper km² · Higher wins ↑
63.4
555.1
Would lose
Highest peakm · Higher wins ↑
6,267
3,088
Would win
Coastlinekm · Higher wins ↑
2,237
225
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.2° S
34.2° N
Would win
2
Round 2Won14 countries · 4 lives left
LiberiavsGambia
Area: 111,369 vs 11,300 km² · Higher wins ↑
Conquered Gambia.
Other category comparisons 4 other winning choices
All eight categories for Liberia against Gambia
Category
Liberia
Gambia
Result
Areakm² · Higher wins ↑ · Chosen
111,369
11,300
Would win
Populationpeople · Higher wins ↑
5,493,031
2,697,845
Would win
Wealth per personint’l $ · Higher wins ↑
1,796
3,292
Would lose
Densityper km² · Higher wins ↑
49.3
238.7
Would lose
Highest peakm · Higher wins ↑
1,447
63
Would win
Coastlinekm · Higher wins ↑
579
80
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
13.6° N
Would win
3
Round 3Won15 countries · 4 lives left
LuxembourgvsPalestine
Wealth per person: 152,596 vs 6,179 int’l $ · Higher wins ↑
Conquered Palestine.
Other category comparisons 0 other winning choices
All eight categories for Luxembourg against Palestine
Category
Luxembourg
Palestine
Result
Areakm² · Higher wins ↑
2,586
6,220
Would lose
Populationpeople · Higher wins ↑
666,430
5,165,775
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
6,179
Would win
Densityper km² · Higher wins ↑
257.7
830.5
Would lose
Highest peakm · Higher wins ↑
559
1,020
Would lose
Coastlinekm · Higher wins ↑
0
40
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
32.1° N
Would lose
4
Round 4Won16 countries · 4 lives left
BotswanavsSomalia
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Somalia.
Other category comparisons 1 other winning choice
All eight categories for Botswana against Somalia
Category
Botswana
Somalia
Result
Areakm² · Higher wins ↑
581,730
637,657
Would lose
Populationpeople · Higher wins ↑
2,480,244
18,358,615
Would lose
Wealth per personint’l $ · Higher wins ↑
21,029
1,557
Would win
Densityper km² · Higher wins ↑
4.3
28.8
Would lose
Highest peakm · Higher wins ↑
1,495
2,460
Would lose
Coastlinekm · Higher wins ↑
0
3,025
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.1° S
2.6° N
Would lose
5
Round 5Won17 countries · 4 lives left
Guinea-BissauvsEl Salvador
Proximity to equator: 12.1° N vs 13.9° N from the equator · Closer wins ↓
Conquered El Salvador.
Other category comparisons 2 other winning choices
All eight categories for Guinea-Bissau against El Salvador
Category
Guinea-Bissau
El Salvador
Result
Areakm² · Higher wins ↑
36,125
21,041
Would win
Populationpeople · Higher wins ↑
2,153,339
6,309,624
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
12,667
Would lose
Densityper km² · Higher wins ↑
59.6
299.9
Would lose
Highest peakm · Higher wins ↑
277
2,730
Would lose
Coastlinekm · Higher wins ↑
350
307
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
13.9° N
Would win
6
Round 6Won18 countries · 4 lives left
FrancevsSierra Leone
Population: 65,925,961 vs 8,460,512 people · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 5 other winning choices
All eight categories for France against Sierra Leone
Category
France
Sierra Leone
Result
Areakm² · Higher wins ↑
551,500
71,740
Would win
Populationpeople · Higher wins ↑ · Chosen
65,925,961
8,460,512
Would win
Wealth per personint’l $ · Higher wins ↑
60,927
3,371
Would win
Densityper km² · Higher wins ↑
119.5
117.9
Would win
Highest peakm · Higher wins ↑
4,810
1,948
Would win
Coastlinekm · Higher wins ↑
3,427
402
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
8.7° N
Would lose
7
Round 7Won19 countries · 4 lives left
GermanyvsMozambique
Population: 83,287,273 vs 33,635,160 people · Higher wins ↑
Conquered Mozambique.
Other category comparisons 3 other winning choices
All eight categories for Germany against Mozambique
Category
Germany
Mozambique
Result
Areakm² · Higher wins ↑
357,022
799,380
Would lose
Populationpeople · Higher wins ↑ · Chosen
83,287,273
33,635,160
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
1,680
Would win
Densityper km² · Higher wins ↑
233.3
42.1
Would win
Highest peakm · Higher wins ↑
2,963
2,436
Would win
Coastlinekm · Higher wins ↑
2,389
2,470
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
14.0° S
Would lose
8
Round 8Won20 countries · 4 lives left
SpainvsChad
Population: 48,352,528 vs 19,319,064 people · Higher wins ↑
Conquered Chad.
Other category comparisons 5 other winning choices
All eight categories for Spain against Chad
Category
Spain
Chad
Result
Areakm² · Higher wins ↑
505,370
1,284,000
Would lose
Populationpeople · Higher wins ↑ · Chosen
48,352,528
19,319,064
Would win
Wealth per personint’l $ · Higher wins ↑
55,661
2,703
Would win
Densityper km² · Higher wins ↑
95.7
15.0
Would win
Highest peakm · Higher wins ↑
3,718
3,445
Would win
Coastlinekm · Higher wins ↑
4,964
0
Would win
Flag colourscolours · Higher wins ↑
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
17.3° N
Would lose
9
Round 9Won21 countries · 4 lives left
ZimbabwevsBrunei
Population: 16,340,822 vs 458,949 people · Higher wins ↑
Conquered Brunei.
Other category comparisons 3 other winning choices
All eight categories for Zimbabwe against Brunei
Category
Zimbabwe
Brunei
Result
Areakm² · Higher wins ↑
390,757
5,765
Would win
Populationpeople · Higher wins ↑ · Chosen
16,340,822
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
5,796
85,103
Would lose
Densityper km² · Higher wins ↑
41.8
79.6
Would lose
Highest peakm · Higher wins ↑
2,592
1,850
Would win
Coastlinekm · Higher wins ↑
0
161
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
4.5° N
Would lose
10
Round 10Won22 countries · 4 lives left
MexicovsCuba
Population: 129,739,759 vs 11,019,931 people · Higher wins ↑
Conquered Cuba.
Other category comparisons 4 other winning choices
All eight categories for Mexico against Cuba
Category
Mexico
Cuba
Result
Areakm² · Higher wins ↑
1,964,375
110,860
Would win
Populationpeople · Higher wins ↑ · Chosen
129,739,759
11,019,931
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
25,188
Unavailable
Unavailable
Densityper km² · Higher wins ↑
66.0
99.4
Would lose
Highest peakm · Higher wins ↑
5,636
1,974
Would win
Coastlinekm · Higher wins ↑
9,330
3,735
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
20.6° N
Would lose
11
Round 11Won23 countries · 4 lives left
IraqvsMauritania
Population: 45,074,049 vs 5,022,441 people · Higher wins ↑
Conquered Mauritania.
Other category comparisons 4 other winning choices
All eight categories for Iraq against Mauritania
Category
Iraq
Mauritania
Result
Areakm² · Higher wins ↑
438,317
1,030,700
Would lose
Populationpeople · Higher wins ↑ · Chosen
45,074,049
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑
14,665
6,972
Would win
Densityper km² · Higher wins ↑
102.8
4.9
Would win
Highest peakm · Higher wins ↑
3,611
915
Would win
Coastlinekm · Higher wins ↑
58
754
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
19.4° N
Would lose
12
Round 12Won24 countries · 4 lives left
IcelandvsMontenegro
Wealth per person: 82,257 vs 31,863 int’l $ · Higher wins ↑
Conquered Montenegro.
Other category comparisons 2 other winning choices
All eight categories for Iceland against Montenegro
Category
Iceland
Montenegro
Result
Areakm² · Higher wins ↑
103,000
13,812
Would win
Populationpeople · Higher wins ↑
385,663
623,529
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
31,863
Would win
Densityper km² · Higher wins ↑
3.7
45.1
Would lose
Highest peakm · Higher wins ↑
2,110
2,534
Would lose
Coastlinekm · Higher wins ↑
4,970
293.5
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
42.8° N
Would lose
13
Round 13Won25 countries · 4 lives left
EcuadorvsBurkina Faso
Proximity to equator: 1.2° S vs 12.8° N from the equator · Closer wins ↓
Conquered Burkina Faso.
Other category comparisons 5 other winning choices
All eight categories for Ecuador against Burkina Faso
Category
Ecuador
Burkina Faso
Result
Areakm² · Higher wins ↑
283,561
274,200
Would win
Populationpeople · Higher wins ↑
17,980,083
23,025,776
Would lose
Wealth per personint’l $ · Higher wins ↑
15,907
2,762
Would win
Densityper km² · Higher wins ↑
63.4
84.0
Would lose
Highest peakm · Higher wins ↑
6,267
749
Would win
Coastlinekm · Higher wins ↑
2,237
0
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.2° S
12.8° N
Would win
14
Round 14Won26 countries · 4 lives left
LebanonvsSouth Africa
Density: 555.1 vs 51.9 per km² · Higher wins ↑
Conquered South Africa.
Other category comparisons 0 other winning choices
All eight categories for Lebanon against South Africa
Category
Lebanon
South Africa
Result
Areakm² · Higher wins ↑
10,400
1,219,090
Would lose
Populationpeople · Higher wins ↑
5,773,493
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
15,212
Would lose
Densityper km² · Higher wins ↑ · Chosen
555.1
51.9
Would win
Highest peakm · Higher wins ↑
3,088
3,450
Would lose
Coastlinekm · Higher wins ↑
225
2,798
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
30.2° S
Would lose
15
Round 15Won27 countries · 4 lives left
LiberiavsThailand
Proximity to equator: 7.0° N vs 15.5° N from the equator · Closer wins ↓
Conquered Thailand.
Other category comparisons 0 other winning choices
All eight categories for Liberia against Thailand
Category
Liberia
Thailand
Result
Areakm² · Higher wins ↑
111,369
513,120
Would lose
Populationpeople · Higher wins ↑
5,493,031
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
23,598
Would lose
Densityper km² · Higher wins ↑
49.3
139.7
Would lose
Highest peakm · Higher wins ↑
1,447
2,565
Would lose
Coastlinekm · Higher wins ↑
579
3,219
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
15.5° N
Would win
16
Round 16Won28 countries · 4 lives left
GambiavsHaiti
Wealth per person: 3,292 vs 3,265 int’l $ · Higher wins ↑
Conquered Haiti.
Other category comparisons 1 other winning choice
All eight categories for Gambia against Haiti
Category
Gambia
Haiti
Result
Areakm² · Higher wins ↑
11,300
27,750
Would lose
Populationpeople · Higher wins ↑
2,697,845
11,637,398
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
3,292
3,265
Would win
Densityper km² · Higher wins ↑
238.7
419.4
Would lose
Highest peakm · Higher wins ↑
63
2,674
Would lose
Coastlinekm · Higher wins ↑
80
1,771
Would lose
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.6° N
19.2° N
Would win
17
Round 17Won29 countries · 4 lives left
LuxembourgvsMali
Wealth per person: 152,596 vs 3,178 int’l $ · Higher wins ↑
Conquered Mali.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against Mali
Category
Luxembourg
Mali
Result
Areakm² · Higher wins ↑
2,586
1,240,192
Would lose
Populationpeople · Higher wins ↑
666,430
23,769,127
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
3,178
Would win
Densityper km² · Higher wins ↑
257.7
19.2
Would win
Highest peakm · Higher wins ↑
559
1,155
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
18.6° N
Would lose
18
Round 18Won30 countries · 4 lives left
PalestinevsEstonia
Density: 830.5 vs 30.3 per km² · Higher wins ↑
Conquered Estonia.
Other category comparisons 4 other winning choices
All eight categories for Palestine against Estonia
Category
Palestine
Estonia
Result
Areakm² · Higher wins ↑
6,220
45,228
Would lose
Populationpeople · Higher wins ↑
5,165,775
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
6,179
48,848
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
30.3
Would win
Highest peakm · Higher wins ↑
1,020
318
Would win
Coastlinekm · Higher wins ↑
40
3,794
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
58.6° N
Would win
19
Round 19Won31 countries · 4 lives left
BotswanavsSyria
Proximity to equator: 22.1° S vs 35.0° N from the equator · Closer wins ↓
Conquered Syria.
Other category comparisons 1 other winning choice
All eight categories for Botswana against Syria
Category
Botswana
Syria
Result
Areakm² · Higher wins ↑
581,730
187,437
Would win
Populationpeople · Higher wins ↑
2,480,244
23,594,623
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
21,029
Unavailable
Unavailable
Densityper km² · Higher wins ↑
4.3
125.9
Would lose
Highest peakm · Higher wins ↑
1,495
2,814
Would lose
Coastlinekm · Higher wins ↑
0
193
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
22.1° S
35.0° N
Would win
20
Round 20Won32 countries · 4 lives left
SomaliavsFiji
Area: 637,657 vs 18,274 km² · Higher wins ↑
Conquered Fiji.
Other category comparisons 4 other winning choices
All eight categories for Somalia against Fiji
Category
Somalia
Fiji
Result
Areakm² · Higher wins ↑ · Chosen
637,657
18,274
Would win
Populationpeople · Higher wins ↑
18,358,615
924,145
Would win
Wealth per personint’l $ · Higher wins ↑
1,557
14,656
Would lose
Densityper km² · Higher wins ↑
28.8
50.6
Would lose
Highest peakm · Higher wins ↑
2,460
1,324
Would win
Coastlinekm · Higher wins ↑
3,025
1,129
Would win
Flag colourscolours · Higher wins ↑
2
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓