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
MoldovavsEswatini
Wealth per person: 17,751 vs 11,309 int’l $ · Higher wins ↑
Conquered Eswatini.
Other category comparisons 4 other winning choices
All eight categories for Moldova against Eswatini
Category
Moldova
Eswatini
Result
Areakm² · Higher wins ↑
33,851
17,364
Would win
Populationpeople · Higher wins ↑
2,457,783
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,751
11,309
Would win
Densityper km² · Higher wins ↑
72.6
70.9
Would win
Highest peakm · Higher wins ↑
430
1,862
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
9
6
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
26.6° S
Would lose
2
Round 2Won14 countries · 4 lives left
GambiavsBahamas
Proximity to equator: 13.6° N vs 24.7° N from the equator · Closer wins ↓
Conquered Bahamas.
Other category comparisons 3 other winning choices
All eight categories for Gambia against Bahamas
Category
Gambia
Bahamas
Result
Areakm² · Higher wins ↑
11,300
13,880
Would lose
Populationpeople · Higher wins ↑
2,697,845
399,440
Would win
Wealth per personint’l $ · Higher wins ↑
3,292
39,122
Would lose
Densityper km² · Higher wins ↑
238.7
28.8
Would win
Highest peakm · Higher wins ↑
63
64
Would lose
Coastlinekm · Higher wins ↑
80
3,542
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.6° N
24.7° N
Would win
3
Round 3Won15 countries · 4 lives left
LuxembourgvsArgentina
Wealth per person: 152,596 vs 30,246 int’l $ · Higher wins ↑
Conquered Argentina.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against Argentina
Category
Luxembourg
Argentina
Result
Areakm² · Higher wins ↑
2,586
2,780,400
Would lose
Populationpeople · Higher wins ↑
666,430
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
30,246
Would win
Densityper km² · Higher wins ↑
257.7
16.4
Would win
Highest peakm · Higher wins ↑
559
6,962
Would lose
Coastlinekm · Higher wins ↑
0
4,989
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
31.4° S
Would lose
4
Round 4Won16 countries · 4 lives left
JamaicavsCameroon
Density: 258.4 vs 59.7 per km² · Higher wins ↑
Conquered Cameroon.
Other category comparisons 2 other winning choices
All eight categories for Jamaica against Cameroon
Category
Jamaica
Cameroon
Result
Areakm² · Higher wins ↑
10,991
475,440
Would lose
Populationpeople · Higher wins ↑
2,839,786
28,372,687
Would lose
Wealth per personint’l $ · Higher wins ↑
12,661
5,415
Would win
Densityper km² · Higher wins ↑ · Chosen
258.4
59.7
Would win
Highest peakm · Higher wins ↑
2,256
4,045
Would lose
Coastlinekm · Higher wins ↑
1,022
402
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
18.1° N
4.5° N
Would lose
5
Round 5Won17 countries · 4 lives left
MoroccovsIraq
Proximity to equator: 31.9° N vs 33.3° N from the equator · Closer wins ↓
Conquered Iraq.
Other category comparisons 3 other winning choices
All eight categories for Morocco against Iraq
Category
Morocco
Iraq
Result
Areakm² · Higher wins ↑
446,550
438,317
Would win
Populationpeople · Higher wins ↑
37,712,505
45,074,049
Would lose
Wealth per personint’l $ · Higher wins ↑
9,903
14,665
Would lose
Densityper km² · Higher wins ↑
84.5
102.8
Would lose
Highest peakm · Higher wins ↑
4,165
3,611
Would win
Coastlinekm · Higher wins ↑
1,835
58
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
31.9° N
33.3° N
Would win
6
Round 6Won18 countries · 4 lives left
EritreavsTurkmenistan
Density: 29.5 vs 15.1 per km² · Higher wins ↑
Conquered Turkmenistan.
Other category comparisons 2 other winning choices
All eight categories for Eritrea against Turkmenistan
Category
Eritrea
Turkmenistan
Result
Areakm² · Higher wins ↑
117,600
488,100
Would lose
Populationpeople · Higher wins ↑
3,470,390
7,364,438
Would lose
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
19,645
Unavailable
Densityper km² · Higher wins ↑ · Chosen
29.5
15.1
Would win
Highest peakm · Higher wins ↑
3,018
3,139
Would lose
Coastlinekm · Higher wins ↑
2,234
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
16.0° N
39.9° N
Would win
7
Round 7Won19 countries · 4 lives left
MyanmarvsBangladesh
Coastline: 1,930 vs 580 km · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 4 other winning choices
All eight categories for Myanmar against Bangladesh
Category
Myanmar
Bangladesh
Result
Areakm² · Higher wins ↑
676,578
148,460
Would win
Populationpeople · Higher wins ↑
54,133,798
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑
5,958
9,155
Would lose
Densityper km² · Higher wins ↑
80.0
1,155.0
Would lose
Highest peakm · Higher wins ↑
5,870
1,060
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,930
580
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
24.3° N
Would win
8
Round 8Won20 countries · 4 lives left
SloveniavsPapua New Guinea
Wealth per person: 56,151 vs 4,672 int’l $ · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 1 other winning choice
All eight categories for Slovenia against Papua New Guinea
Category
Slovenia
Papua New Guinea
Result
Areakm² · Higher wins ↑
20,273
462,840
Would lose
Populationpeople · Higher wins ↑
2,120,461
10,389,635
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,151
4,672
Would win
Densityper km² · Higher wins ↑
104.6
22.4
Would win
Highest peakm · Higher wins ↑
2,864
4,509
Would lose
Coastlinekm · Higher wins ↑
46.6
5,152
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
5.5° S
Would lose
9
Round 9Won21 countries · 4 lives left
BhutanvsGermany
Highest peak: 7,570 vs 2,963 m · Higher wins ↑
Conquered Germany.
Other category comparisons 2 other winning choices
All eight categories for Bhutan against Germany
Category
Bhutan
Germany
Result
Areakm² · Higher wins ↑
38,394
357,022
Would lose
Populationpeople · Higher wins ↑
786,385
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
72,262
Would lose
Densityper km² · Higher wins ↑
20.5
233.3
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
2,963
Would win
Coastlinekm · Higher wins ↑
0
2,389
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
51.0° N
Would win
10
Round 10Won22 countries · 4 lives left
AustriavsNorth Macedonia
Highest peak: 3,798 vs 2,764 m · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 4 other winning choices
All eight categories for Austria against North Macedonia
Category
Austria
North Macedonia
Result
Areakm² · Higher wins ↑
83,871
25,713
Would win
Populationpeople · Higher wins ↑
9,131,761
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑
74,261
25,354
Would win
Densityper km² · Higher wins ↑
108.9
71.1
Would win
Highest peakm · Higher wins ↑ · Chosen
3,798
2,764
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
41.5° N
Would lose
11
Round 11Won23 countries · 4 lives left
UruguayvsMadagascar
Wealth per person: 34,546 vs 1,810 int’l $ · Higher wins ↑
Conquered Madagascar.
Other category comparisons 1 other winning choice
All eight categories for Uruguay against Madagascar
Category
Uruguay
Madagascar
Result
Areakm² · Higher wins ↑
176,215
587,041
Would lose
Populationpeople · Higher wins ↑
3,388,081
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
34,546
1,810
Would win
Densityper km² · Higher wins ↑
19.2
53.1
Would lose
Highest peakm · Higher wins ↑
514
2,876
Would lose
Coastlinekm · Higher wins ↑
660
4,828
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.9° S
18.4° S
Would lose
12
Round 12Won24 countries · 4 lives left
UkrainevsPortugal
Area: 603,550 vs 92,090 km² · Higher wins ↑
Conquered Portugal.
Other category comparisons 2 other winning choices
All eight categories for Ukraine against Portugal
Category
Ukraine
Portugal
Result
Areakm² · Higher wins ↑ · Chosen
603,550
92,090
Would win
Populationpeople · Higher wins ↑
37,732,836
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
17,680
49,800
Would lose
Densityper km² · Higher wins ↑
62.5
114.9
Would lose
Highest peakm · Higher wins ↑
2,061
2,351
Would lose
Coastlinekm · Higher wins ↑
2,782
1,793
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
40.7° N
Would lose
13
Round 13Won25 countries · 4 lives left
MoldovavsBelarus
Density: 72.6 vs 44.2 per km² · Higher wins ↑
Conquered Belarus.
Other category comparisons 3 other winning choices
All eight categories for Moldova against Belarus
Category
Moldova
Belarus
Result
Areakm² · Higher wins ↑
33,851
207,600
Would lose
Populationpeople · Higher wins ↑
2,457,783
9,178,298
Would lose
Wealth per personint’l $ · Higher wins ↑
17,751
30,860
Would lose
Densityper km² · Higher wins ↑ · Chosen
72.6
44.2
Would win
Highest peakm · Higher wins ↑
430
346
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
53.8° N
Would win
14
Round 14Won26 countries · 4 lives left
EswatinivsSudan
Density: 70.9 vs 26.9 per km² · Higher wins ↑
Conquered Sudan.
Other category comparisons 2 other winning choices
All eight categories for Eswatini against Sudan
Category
Eswatini
Sudan
Result
Areakm² · Higher wins ↑
17,364
1,861,484
Would lose
Populationpeople · Higher wins ↑
1,230,506
50,042,791
Would lose
Wealth per personint’l $ · Higher wins ↑
11,309
2,423
Would win
Densityper km² · Higher wins ↑ · Chosen
70.9
26.9
Would win
Highest peakm · Higher wins ↑
1,862
3,042
Would lose
Coastlinekm · Higher wins ↑
0
853
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.6° S
16.6° N
Would lose
15
Round 15Lost25 countries · 3 lives left
GambiavsBrunei
Proximity to equator: 13.6° N vs 4.5° N from the equator · Closer wins ↓
Returned to the world: Gambia.
Other category comparisons 3 other winning choices
All eight categories for Gambia against Brunei
Category
Gambia
Brunei
Result
Areakm² · Higher wins ↑
11,300
5,765
Would win
Populationpeople · Higher wins ↑
2,697,845
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
3,292
85,103
Would lose
Densityper km² · Higher wins ↑
238.7
79.6
Would win
Highest peakm · Higher wins ↑
63
1,850
Would lose
Coastlinekm · Higher wins ↑
80
161
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.6° N
4.5° N
Would lose
16
Round 16Won26 countries · 3 lives left
BahamasvsMauritania
Density: 28.8 vs 4.9 per km² · Higher wins ↑
Conquered Mauritania.
Other category comparisons 2 other winning choices
All eight categories for Bahamas against Mauritania
Category
Bahamas
Mauritania
Result
Areakm² · Higher wins ↑
13,880
1,030,700
Would lose
Populationpeople · Higher wins ↑
399,440
5,022,441
Would lose
Wealth per personint’l $ · Higher wins ↑
39,122
6,972
Would win
Densityper km² · Higher wins ↑ · Chosen
28.8
4.9
Would win
Highest peakm · Higher wins ↑
64
915
Would lose
Coastlinekm · Higher wins ↑
3,542
754
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
24.7° N
19.4° N
Would lose
17
Round 17Won27 countries · 3 lives left
LuxembourgvsMalaysia
Wealth per person: 152,596 vs 36,497 int’l $ · Higher wins ↑
Conquered Malaysia.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against Malaysia
Category
Luxembourg
Malaysia
Result
Areakm² · Higher wins ↑
2,586
329,847
Would lose
Populationpeople · Higher wins ↑
666,430
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
36,497
Would win
Densityper km² · Higher wins ↑
257.7
106.5
Would win
Highest peakm · Higher wins ↑
559
4,095
Would lose
Coastlinekm · Higher wins ↑
0
4,675
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
4.4° N
Would lose
18
Round 18Won28 countries · 3 lives left
ArgentinavsTunisia
Area: 2,780,400 vs 163,610 km² · Higher wins ↑
Conquered Tunisia.
Other category comparisons 6 other winning choices
All eight categories for Argentina against Tunisia
Category
Argentina
Tunisia
Result
Areakm² · Higher wins ↑ · Chosen
2,780,400
163,610
Would win
Populationpeople · Higher wins ↑
45,538,401
12,200,431
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
14,052
Would win
Densityper km² · Higher wins ↑
16.4
74.6
Would lose
Highest peakm · Higher wins ↑
6,962
1,544
Would win
Coastlinekm · Higher wins ↑
4,989
1,148
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
35.3° N
Would win
19
Round 19Won29 countries · 3 lives left
JamaicavsGhana
Density: 258.4 vs 141.6 per km² · Higher wins ↑
Conquered Ghana.
Other category comparisons 3 other winning choices
All eight categories for Jamaica against Ghana
Category
Jamaica
Ghana
Result
Areakm² · Higher wins ↑
10,991
238,533
Would lose
Populationpeople · Higher wins ↑
2,839,786
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑
12,661
7,563
Would win
Densityper km² · Higher wins ↑ · Chosen
258.4
141.6
Would win
Highest peakm · Higher wins ↑
2,256
885
Would win
Coastlinekm · Higher wins ↑
1,022
539
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
18.1° N
7.0° N
Would lose
20
Round 20Won30 countries · 3 lives left
CameroonvsBrazil
Density: 59.7 vs 24.8 per km² · Higher wins ↑
Conquered Brazil.
Other category comparisons 2 other winning choices
All eight categories for Cameroon against Brazil
Category
Cameroon
Brazil
Result
Areakm² · Higher wins ↑
475,440
8,515,770
Would lose
Populationpeople · Higher wins ↑
28,372,687
211,140,729
Would lose
Wealth per personint’l $ · Higher wins ↑
5,415
21,193
Would lose
Densityper km² · Higher wins ↑ · Chosen
59.7
24.8
Would win
Highest peakm · Higher wins ↑
4,045
2,994
Would win
Coastlinekm · Higher wins ↑
402
7,491
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Moldovavs
Eswatini
Gambia
Bahamas
Luxembourg
Argentina
Jamaica
Cameroon
Morocco
Iraq
Eritrea
Turkmenistan
Myanmar
Bangladesh
Slovenia
Papua New Guinea
Bhutan
Germany
Austria
North Macedonia
Uruguay
Madagascar
Ukraine
Portugal
Belarus
Sudan
Brunei
Mauritania
Malaysia
Tunisia
Ghana
Brazil