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
Burkina FasovsMalta
Area: 274,200 vs 316 km² · Higher wins ↑
Conquered Malta.
Other category comparisons 3 other winning choices
All eight categories for Burkina Faso against Malta
Category
Burkina Faso
Malta
Result
Areakm² · Higher wins ↑ · Chosen
274,200
316
Would win
Populationpeople · Higher wins ↑
23,025,776
552,747
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
67,101
Would lose
Densityper km² · Higher wins ↑
84.0
1,749.2
Would lose
Highest peakm · Higher wins ↑
749
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 ↓
12.8° N
35.9° N
Would win
2
Round 2Won14 countries · 4 lives left
ParaguayvsNorth Macedonia
Area: 406,752 vs 25,713 km² · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 3 other winning choices
All eight categories for Paraguay against North Macedonia
Category
Paraguay
North Macedonia
Result
Areakm² · Higher wins ↑ · Chosen
406,752
25,713
Would win
Populationpeople · Higher wins ↑
6,844,146
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑
17,585
25,354
Would lose
Densityper km² · Higher wins ↑
16.8
71.1
Would lose
Highest peakm · Higher wins ↑
842
2,764
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° S
41.5° N
Would win
3
Round 3Won15 countries · 4 lives left
LebanonvsLaos
Density: 555.1 vs 32.4 per km² · Higher wins ↑
Conquered Laos.
Other category comparisons 3 other winning choices
All eight categories for Lebanon against Laos
Category
Lebanon
Laos
Result
Areakm² · Higher wins ↑
10,400
236,800
Would lose
Populationpeople · Higher wins ↑
5,773,493
7,664,993
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
9,299
Would win
Densityper km² · Higher wins ↑ · Chosen
555.1
32.4
Would win
Highest peakm · Higher wins ↑
3,088
2,817
Would win
Coastlinekm · Higher wins ↑
225
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
19.6° N
Would lose
4
Round 4Won16 countries · 4 lives left
BeninvsMorocco
Proximity to equator: 10.4° N vs 31.9° N from the equator · Closer wins ↓
Conquered Morocco.
Other category comparisons 2 other winning choices
All eight categories for Benin against Morocco
Category
Benin
Morocco
Result
Areakm² · Higher wins ↑
112,622
446,550
Would lose
Populationpeople · Higher wins ↑
14,111,034
37,712,505
Would lose
Wealth per personint’l $ · Higher wins ↑
4,133
9,903
Would lose
Densityper km² · Higher wins ↑
125.3
84.5
Would win
Highest peakm · Higher wins ↑
675
4,165
Would lose
Coastlinekm · Higher wins ↑
121
1,835
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.4° N
31.9° N
Would win
5
Round 5Won17 countries · 4 lives left
BahrainvsUnited Arab Emirates
Density: 2,075.1 vs 125.4 per km² · Higher wins ↑
Conquered United Arab Emirates.
Other category comparisons 0 other winning choices
All eight categories for Bahrain against United Arab Emirates
Category
Bahrain
United Arab Emirates
Result
Areakm² · Higher wins ↑
760
83,600
Would lose
Populationpeople · Higher wins ↑
1,577,059
10,483,751
Would lose
Wealth per personint’l $ · Higher wins ↑
64,224
78,020
Would lose
Densityper km² · Higher wins ↑ · Chosen
2,075.1
125.4
Would win
Highest peakm · Higher wins ↑
135
1,905
Would lose
Coastlinekm · Higher wins ↑
161
1,318
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.0° N
23.5° N
Would lose
6
Round 6Won18 countries · 4 lives left
Timor-LestevsItaly
Proximity to equator: 8.9° S vs 45.1° N from the equator · Closer wins ↓
Conquered Italy.
Other category comparisons 1 other winning choice
All eight categories for Timor-Leste against Italy
Category
Timor-Leste
Italy
Result
Areakm² · Higher wins ↑
14,874
301,340
Would lose
Populationpeople · Higher wins ↑
1,384,286
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
60,350
Would lose
Densityper km² · Higher wins ↑
93.1
195.7
Would lose
Highest peakm · Higher wins ↑
2,963
4,748
Would lose
Coastlinekm · Higher wins ↑
706
7,600
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° S
45.1° N
Would win
7
Round 7Won19 countries · 4 lives left
NetherlandsvsMexico
Wealth per person: 80,392 vs 25,188 int’l $ · Higher wins ↑
Conquered Mexico.
Other category comparisons 1 other winning choice
All eight categories for Netherlands against Mexico
Category
Netherlands
Mexico
Result
Areakm² · Higher wins ↑
41,543
1,964,375
Would lose
Populationpeople · Higher wins ↑
17,877,117
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
80,392
25,188
Would win
Densityper km² · Higher wins ↑
430.3
66.0
Would win
Highest peakm · Higher wins ↑
322
5,636
Would lose
Coastlinekm · Higher wins ↑
451
9,330
Would lose
Flag colourscolours · Higher wins ↑
3
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.2° N
23.5° N
Would lose
8
Round 8Won20 countries · 4 lives left
Côte d’IvoirevsBhutan
Population: 31,165,654 vs 786,385 people · Higher wins ↑
Conquered Bhutan.
Other category comparisons 4 other winning choices
All eight categories for Côte d’Ivoire against Bhutan
Category
Côte d’Ivoire
Bhutan
Result
Areakm² · Higher wins ↑
322,463
38,394
Would win
Populationpeople · Higher wins ↑ · Chosen
31,165,654
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
7,243
16,229
Would lose
Densityper km² · Higher wins ↑
96.6
20.5
Would win
Highest peakm · Higher wins ↑
1,752
7,570
Would lose
Coastlinekm · Higher wins ↑
515
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.5° N
27.5° N
Would win
9
Round 9Won21 countries · 4 lives left
TanzaniavsSolomon Islands
Area: 947,300 vs 28,896 km² · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 5 other winning choices
All eight categories for Tanzania against Solomon Islands
Category
Tanzania
Solomon Islands
Result
Areakm² · Higher wins ↑ · Chosen
947,300
28,896
Would win
Populationpeople · Higher wins ↑
66,617,606
800,005
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
2,599
Would win
Densityper km² · Higher wins ↑
70.3
27.7
Would win
Highest peakm · Higher wins ↑
5,895
2,335
Would win
Coastlinekm · Higher wins ↑
1,424
5,313
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
9.6° S
Would win
10
Round 10Won22 countries · 4 lives left
ThailandvsEritrea
Population: 71,702,435 vs 3,470,390 people · Higher wins ↑
Conquered Eritrea.
Other category comparisons 4 other winning choices
All eight categories for Thailand against Eritrea
Category
Thailand
Eritrea
Result
Areakm² · Higher wins ↑
513,120
117,600
Would win
Populationpeople · Higher wins ↑ · Chosen
71,702,435
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
23,598
Unavailable
Unavailable
Densityper km² · Higher wins ↑
139.7
29.5
Would win
Highest peakm · Higher wins ↑
2,565
3,018
Would lose
Coastlinekm · Higher wins ↑
3,219
2,234
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
16.0° N
Would win
11
Round 11Won23 countries · 4 lives left
Equatorial GuineavsGeorgia
Proximity to equator: 1.6° N vs 42.4° N from the equator · Closer wins ↓
Conquered Georgia.
Other category comparisons 2 other winning choices
All eight categories for Equatorial Guinea against Georgia
Category
Equatorial Guinea
Georgia
Result
Areakm² · Higher wins ↑
28,051
69,700
Would lose
Populationpeople · Higher wins ↑
1,847,549
3,715,483
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
25,093
Would lose
Densityper km² · Higher wins ↑
65.9
53.3
Would win
Highest peakm · Higher wins ↑
3,008
5,193
Would lose
Coastlinekm · Higher wins ↑
296
310
Would lose
Flag colourscolours · Higher wins ↑
8
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
42.4° N
Would win
12
Round 12Won24 countries · 4 lives left
PanamavsMauritania
Wealth per person: 39,846 vs 6,972 int’l $ · Higher wins ↑
Conquered Mauritania.
Other category comparisons 4 other winning choices
All eight categories for Panama against Mauritania
Category
Panama
Mauritania
Result
Areakm² · Higher wins ↑
75,420
1,030,700
Would lose
Populationpeople · Higher wins ↑
4,458,759
5,022,441
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
39,846
6,972
Would win
Densityper km² · Higher wins ↑
59.1
4.9
Would win
Highest peakm · Higher wins ↑
3,475
915
Would win
Coastlinekm · Higher wins ↑
2,490
754
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.4° N
19.4° N
Would win
13
Round 13Won25 countries · 4 lives left
Burkina FasovsSouth Africa
Density: 84.0 vs 51.9 per km² · Higher wins ↑
Conquered South Africa.
Other category comparisons 1 other winning choice
All eight categories for Burkina Faso against South Africa
Category
Burkina Faso
South Africa
Result
Areakm² · Higher wins ↑
274,200
1,219,090
Would lose
Populationpeople · Higher wins ↑
23,025,776
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
2,762
15,212
Would lose
Densityper km² · Higher wins ↑ · Chosen
84.0
51.9
Would win
Highest peakm · Higher wins ↑
749
3,450
Would lose
Coastlinekm · Higher wins ↑
0
2,798
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.8° N
30.2° S
Would win
14
Round 14Won26 countries · 4 lives left
MaltavsRussia
Density: 1,749.2 vs 8.4 per km² · Higher wins ↑
Conquered Russia.
Other category comparisons 2 other winning choices
All eight categories for Malta against Russia
Category
Malta
Russia
Result
Areakm² · Higher wins ↑
316
17,098,242
Would lose
Populationpeople · Higher wins ↑
552,747
143,826,130
Would lose
Wealth per personint’l $ · Higher wins ↑
67,101
44,299
Would win
Densityper km² · Higher wins ↑ · Chosen
1,749.2
8.4
Would win
Highest peakm · Higher wins ↑
253
5,642
Would lose
Coastlinekm · Higher wins ↑
196.8
37,653
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
63.6° N
Would win
15
Round 15Won27 countries · 4 lives left
ParaguayvsMyanmar
Wealth per person: 17,585 vs 5,958 int’l $ · Higher wins ↑
Conquered Myanmar.
Other category comparisons 1 other winning choice
All eight categories for Paraguay against Myanmar
Category
Paraguay
Myanmar
Result
Areakm² · Higher wins ↑
406,752
676,578
Would lose
Populationpeople · Higher wins ↑
6,844,146
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,585
5,958
Would win
Densityper km² · Higher wins ↑
16.8
80.0
Would lose
Highest peakm · Higher wins ↑
842
5,870
Would lose
Coastlinekm · Higher wins ↑
0
1,930
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° S
21.6° N
Would tie
16
Round 16Won28 countries · 4 lives left
North MacedoniavsFrance
Proximity to equator: 41.5° N vs 46.7° N from the equator · Closer wins ↓
Conquered France.
Other category comparisons 0 other winning choices
All eight categories for North Macedonia against France
Category
North Macedonia
France
Result
Areakm² · Higher wins ↑
25,713
551,500
Would lose
Populationpeople · Higher wins ↑
1,827,816
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
25,354
60,927
Would lose
Densityper km² · Higher wins ↑
71.1
119.5
Would lose
Highest peakm · Higher wins ↑
2,764
4,810
Would lose
Coastlinekm · Higher wins ↑
0
3,427
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
41.5° N
46.7° N
Would win
17
Round 17Won29 countries · 4 lives left
LebanonvsSingapore
Area: 10,400 vs 719 km² · Higher wins ↑
Conquered Singapore.
Other category comparisons 3 other winning choices
All eight categories for Lebanon against Singapore
Category
Lebanon
Singapore
Result
Areakm² · Higher wins ↑ · Chosen
10,400
719
Would win
Populationpeople · Higher wins ↑
5,773,493
5,917,648
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
144,728
Would lose
Densityper km² · Higher wins ↑
555.1
8,230.4
Would lose
Highest peakm · Higher wins ↑
3,088
166
Would win
Coastlinekm · Higher wins ↑
225
193
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
1.4° N
Would lose
18
Round 18Won30 countries · 4 lives left
LaosvsSweden
Proximity to equator: 19.6° N vs 65.8° N from the equator · Closer wins ↓
Conquered Sweden.
Other category comparisons 3 other winning choices
All eight categories for Laos against Sweden
Category
Laos
Sweden
Result
Areakm² · Higher wins ↑
236,800
450,295
Would lose
Populationpeople · Higher wins ↑
7,664,993
10,536,632
Would lose
Wealth per personint’l $ · Higher wins ↑
9,299
68,458
Would lose
Densityper km² · Higher wins ↑
32.4
23.4
Would win
Highest peakm · Higher wins ↑
2,817
2,100
Would win
Coastlinekm · Higher wins ↑
0
3,218
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.6° N
65.8° N
Would win
19
Round 19Won31 countries · 4 lives left
BeninvsAlbania
Proximity to equator: 10.4° N vs 40.7° N from the equator · Closer wins ↓
Conquered Albania.
Other category comparisons 4 other winning choices
All eight categories for Benin against Albania
Category
Benin
Albania
Result
Areakm² · Higher wins ↑
112,622
28,748
Would win
Populationpeople · Higher wins ↑
14,111,034
2,411,658
Would win
Wealth per personint’l $ · Higher wins ↑
4,133
24,848
Would lose
Densityper km² · Higher wins ↑
125.3
83.9
Would win
Highest peakm · Higher wins ↑
675
2,764
Would lose
Coastlinekm · Higher wins ↑
121
362
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.4° N
40.7° N
Would win
20
Round 20Won32 countries · 4 lives left
MoroccovsGuinea-Bissau
Coastline: 1,835 vs 350 km · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 5 other winning choices
All eight categories for Morocco against Guinea-Bissau
Category
Morocco
Guinea-Bissau
Result
Areakm² · Higher wins ↑
446,550
36,125
Would win
Populationpeople · Higher wins ↑
37,712,505
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
2,956
Would win
Densityper km² · Higher wins ↑
84.5
59.6
Would win
Highest peakm · Higher wins ↑
4,165
277
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,835
350
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Burkina Fasovs
Malta
Paraguay
North Macedonia
Lebanon
Laos
Benin
Morocco
Bahrain
United Arab Emirates
Timor-Leste
Italy
Netherlands
Mexico
Côte d’Ivoire
Bhutan
Tanzania
Solomon Islands
Thailand
Eritrea
Equatorial Guinea
Georgia
Panama
Mauritania
South Africa
Russia
Myanmar
France
Singapore
Sweden
Albania
Guinea-Bissau