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Untimed expedition · Data edition 01051846d672
19Wins
1Losses
0Ties
Explore the final empire · 30 countries
No countries match your search.
The path through the world
One choice at a time.
20 rounds
Where it began · 12 countries
Myanmar · Gambia · Brazil · Equatorial Guinea · Republic of the Congo · Ireland · Algeria · Italy · Angola · Norway · Bahamas · Latvia
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
MyanmarvsLibya
Population: 54,133,798 vs 7,305,659 people · Higher wins ↑
Conquered Libya.
Other category comparisons 4 other winning choices
All eight categories for Myanmar against Libya
Category
Myanmar
Libya
Result
Areakm² · Higher wins ↑
676,578
1,759,540
Would lose
Populationpeople · Higher wins ↑ · Chosen
54,133,798
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
13,858
Would lose
Densityper km² · Higher wins ↑
80.0
4.2
Would win
Highest peakm · Higher wins ↑
5,870
2,267
Would win
Coastlinekm · Higher wins ↑
1,930
1,770
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
26.1° N
Would win
2
Round 2Won14 countries · 4 lives left
GambiavsVenezuela
Density: 238.7 vs 31.0 per km² · Higher wins ↑
Conquered Venezuela.
Other category comparisons 0 other winning choices
All eight categories for Gambia against Venezuela
Category
Gambia
Venezuela
Result
Areakm² · Higher wins ↑
11,300
912,050
Would lose
Populationpeople · Higher wins ↑
2,697,845
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
3,292
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
238.7
31.0
Would win
Highest peakm · Higher wins ↑
63
4,978
Would lose
Coastlinekm · Higher wins ↑
80
2,800
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
13.6° N
7.2° N
Would lose
3
Round 3Won15 countries · 4 lives left
BrazilvsJordan
Population: 211,140,729 vs 11,439,213 people · Higher wins ↑
Conquered Jordan.
Other category comparisons 5 other winning choices
All eight categories for Brazil against Jordan
Category
Brazil
Jordan
Result
Areakm² · Higher wins ↑
8,515,770
89,342
Would win
Populationpeople · Higher wins ↑ · Chosen
211,140,729
11,439,213
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
11,451
Would win
Densityper km² · Higher wins ↑
24.8
128.0
Would lose
Highest peakm · Higher wins ↑
2,994
1,854
Would win
Coastlinekm · Higher wins ↑
7,491
26
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
30.7° N
Would win
4
Round 4Won16 countries · 4 lives left
Equatorial GuineavsMadagascar
Proximity to equator: 1.6° N vs 18.4° S from the equator · Closer wins ↓
Conquered Madagascar.
Other category comparisons 4 other winning choices
All eight categories for Equatorial Guinea against Madagascar
Category
Equatorial Guinea
Madagascar
Result
Areakm² · Higher wins ↑
28,051
587,041
Would lose
Populationpeople · Higher wins ↑
1,847,549
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
1,810
Would win
Densityper km² · Higher wins ↑
65.9
53.1
Would win
Highest peakm · Higher wins ↑
3,008
2,876
Would win
Coastlinekm · Higher wins ↑
296
4,828
Would lose
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
18.4° S
Would win
5
Round 5Won17 countries · 4 lives left
Republic of the CongovsHaiti
Proximity to equator: 0.1° N vs 19.2° N from the equator · Closer wins ↓
Conquered Haiti.
Other category comparisons 2 other winning choices
All eight categories for Republic of the Congo against Haiti
Category
Republic of the Congo
Haiti
Result
Areakm² · Higher wins ↑
342,000
27,750
Would win
Populationpeople · Higher wins ↑
6,182,885
11,637,398
Would lose
Wealth per personint’l $ · Higher wins ↑
6,856
3,265
Would win
Densityper km² · Higher wins ↑
18.1
419.4
Would lose
Highest peakm · Higher wins ↑
1,020
2,674
Would lose
Coastlinekm · Higher wins ↑
169
1,771
Would lose
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.1° N
19.2° N
Would win
6
Round 6Won18 countries · 4 lives left
IrelandvsLithuania
Wealth per person: 133,440 vs 52,720 int’l $ · Higher wins ↑
Conquered Lithuania.
Other category comparisons 6 other winning choices
All eight categories for Ireland against Lithuania
Category
Ireland
Lithuania
Result
Areakm² · Higher wins ↑
70,273
65,300
Would win
Populationpeople · Higher wins ↑
5,311,538
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
133,440
52,720
Would win
Densityper km² · Higher wins ↑
75.6
44.0
Would win
Highest peakm · Higher wins ↑
1,041
294
Would win
Coastlinekm · Higher wins ↑
1,448
90
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
55.1° N
Would win
7
Round 7Won19 countries · 4 lives left
AlgeriavsMali
Area: 2,381,740 vs 1,240,192 km² · Higher wins ↑
Conquered Mali.
Other category comparisons 5 other winning choices
All eight categories for Algeria against Mali
Category
Algeria
Mali
Result
Areakm² · Higher wins ↑ · Chosen
2,381,740
1,240,192
Would win
Populationpeople · Higher wins ↑
46,164,219
23,769,127
Would win
Wealth per personint’l $ · Higher wins ↑
16,838
3,178
Would win
Densityper km² · Higher wins ↑
19.4
19.2
Would win
Highest peakm · Higher wins ↑
2,908
1,155
Would win
Coastlinekm · Higher wins ↑
998
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.4° N
18.6° N
Would lose
8
Round 8Won20 countries · 4 lives left
ItalyvsCôte d’Ivoire
Population: 58,984,216 vs 31,165,654 people · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 4 other winning choices
All eight categories for Italy against Côte d’Ivoire
Category
Italy
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
301,340
322,463
Would lose
Populationpeople · Higher wins ↑ · Chosen
58,984,216
31,165,654
Would win
Wealth per personint’l $ · Higher wins ↑
60,350
7,243
Would win
Densityper km² · Higher wins ↑
195.7
96.6
Would win
Highest peakm · Higher wins ↑
4,748
1,752
Would win
Coastlinekm · Higher wins ↑
7,600
515
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
7.5° N
Would lose
9
Round 9Won21 countries · 4 lives left
AngolavsCosta Rica
Area: 1,246,700 vs 51,100 km² · Higher wins ↑
Conquered Costa Rica.
Other category comparisons 2 other winning choices
All eight categories for Angola against Costa Rica
Category
Angola
Costa Rica
Result
Areakm² · Higher wins ↑ · Chosen
1,246,700
51,100
Would win
Populationpeople · Higher wins ↑
36,749,906
5,105,525
Would win
Wealth per personint’l $ · Higher wins ↑
9,550
29,248
Would lose
Densityper km² · Higher wins ↑
29.5
99.9
Would lose
Highest peakm · Higher wins ↑
2,620
3,819
Would lose
Coastlinekm · Higher wins ↑
1,600
1,290
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
13.2° S
10.1° N
Would lose
10
Round 10Won22 countries · 4 lives left
NorwayvsIsrael
Coastline: 25,148 vs 273 km · Higher wins ↑
Conquered Israel.
Other category comparisons 4 other winning choices
All eight categories for Norway against Israel
Category
Norway
Israel
Result
Areakm² · Higher wins ↑
323,802
21,937
Would win
Populationpeople · Higher wins ↑
5,519,601
9,849,000
Would lose
Wealth per personint’l $ · Higher wins ↑
107,768
55,301
Would win
Densityper km² · Higher wins ↑
17.0
449.0
Would lose
Highest peakm · Higher wins ↑
2,469
2,224
Would win
Coastlinekm · Higher wins ↑ · Chosen
25,148
273
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
61.5° N
30.9° N
Would lose
11
Round 11Won23 countries · 4 lives left
BahamasvsZimbabwe
Wealth per person: 39,122 vs 5,796 int’l $ · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 1 other winning choice
All eight categories for Bahamas against Zimbabwe
Category
Bahamas
Zimbabwe
Result
Areakm² · Higher wins ↑
13,880
390,757
Would lose
Populationpeople · Higher wins ↑
399,440
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
39,122
5,796
Would win
Densityper km² · Higher wins ↑
28.8
41.8
Would lose
Highest peakm · Higher wins ↑
64
2,592
Would lose
Coastlinekm · Higher wins ↑
3,542
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.7° N
19.0° S
Would lose
12
Round 12Won24 countries · 4 lives left
LatviavsAfghanistan
Wealth per person: 42,784 vs 2,204 int’l $ · Higher wins ↑
Conquered Afghanistan.
Other category comparisons 1 other winning choice
All eight categories for Latvia against Afghanistan
Category
Latvia
Afghanistan
Result
Areakm² · Higher wins ↑
64,589
652,230
Would lose
Populationpeople · Higher wins ↑
1,883,710
41,454,761
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,784
2,204
Would win
Densityper km² · Higher wins ↑
29.2
63.6
Would lose
Highest peakm · Higher wins ↑
312
7,492
Would lose
Coastlinekm · Higher wins ↑
498
0
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
34.3° N
Would lose
13
Round 13Won25 countries · 4 lives left
MyanmarvsChile
Population: 54,133,798 vs 19,658,835 people · Higher wins ↑
Conquered Chile.
Other category comparisons 3 other winning choices
All eight categories for Myanmar against Chile
Category
Myanmar
Chile
Result
Areakm² · Higher wins ↑
676,578
756,102
Would lose
Populationpeople · Higher wins ↑ · Chosen
54,133,798
19,658,835
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
33,174
Would lose
Densityper km² · Higher wins ↑
80.0
26.0
Would win
Highest peakm · Higher wins ↑
5,870
6,893
Would lose
Coastlinekm · Higher wins ↑
1,930
6,435
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
23.4° S
Would win
14
Round 14Won26 countries · 4 lives left
LibyavsTanzania
Area: 1,759,540 vs 947,300 km² · Higher wins ↑
Conquered Tanzania.
Other category comparisons 2 other winning choices
All eight categories for Libya against Tanzania
Category
Libya
Tanzania
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
947,300
Would win
Populationpeople · Higher wins ↑
7,305,659
66,617,606
Would lose
Wealth per personint’l $ · Higher wins ↑
13,858
4,022
Would win
Densityper km² · Higher wins ↑
4.2
70.3
Would lose
Highest peakm · Higher wins ↑
2,267
5,895
Would lose
Coastlinekm · Higher wins ↑
1,770
1,424
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
5.5° S
Would lose
15
Round 15Won27 countries · 4 lives left
GambiavsGeorgia
Density: 238.7 vs 53.3 per km² · Higher wins ↑
Conquered Georgia.
Other category comparisons 2 other winning choices
All eight categories for Gambia against Georgia
Category
Gambia
Georgia
Result
Areakm² · Higher wins ↑
11,300
69,700
Would lose
Populationpeople · Higher wins ↑
2,697,845
3,715,483
Would lose
Wealth per personint’l $ · Higher wins ↑
3,292
25,093
Would lose
Densityper km² · Higher wins ↑ · Chosen
238.7
53.3
Would win
Highest peakm · Higher wins ↑
63
5,193
Would lose
Coastlinekm · Higher wins ↑
80
310
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.6° N
42.4° N
Would win
16
Round 16Won28 countries · 4 lives left
VenezuelavsBolivia
Population: 28,300,854 vs 12,244,159 people · Higher wins ↑
Conquered Bolivia.
Other category comparisons 3 other winning choices
All eight categories for Venezuela against Bolivia
Category
Venezuela
Bolivia
Result
Areakm² · Higher wins ↑
912,050
1,098,581
Would lose
Populationpeople · Higher wins ↑ · Chosen
28,300,854
12,244,159
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
12,903
Unavailable
Densityper km² · Higher wins ↑
31.0
11.1
Would win
Highest peakm · Higher wins ↑
4,978
6,542
Would lose
Coastlinekm · Higher wins ↑
2,800
0
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.2° N
16.7° S
Would win
17
Round 17Won29 countries · 4 lives left
BrazilvsNamibia
Population: 211,140,729 vs 2,963,095 people · Higher wins ↑
Conquered Namibia.
Other category comparisons 6 other winning choices
All eight categories for Brazil against Namibia
Category
Brazil
Namibia
Result
Areakm² · Higher wins ↑
8,515,770
824,292
Would win
Populationpeople · Higher wins ↑ · Chosen
211,140,729
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
11,248
Would win
Densityper km² · Higher wins ↑
24.8
3.6
Would win
Highest peakm · Higher wins ↑
2,994
2,573
Would win
Coastlinekm · Higher wins ↑
7,491
1,572
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
20.6° S
Would win
18
Round 18Won30 countries · 4 lives left
JordanvsBotswana
Population: 11,439,213 vs 2,480,244 people · Higher wins ↑
Conquered Botswana.
Other category comparisons 4 other winning choices
All eight categories for Jordan against Botswana
Category
Jordan
Botswana
Result
Areakm² · Higher wins ↑
89,342
581,730
Would lose
Populationpeople · Higher wins ↑ · Chosen
11,439,213
2,480,244
Would win
Wealth per personint’l $ · Higher wins ↑
11,451
21,029
Would lose
Densityper km² · Higher wins ↑
128.0
4.3
Would win
Highest peakm · Higher wins ↑
1,854
1,495
Would win
Coastlinekm · Higher wins ↑
26
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.7° N
22.1° S
Would lose
19
Round 19Won31 countries · 4 lives left
Equatorial GuineavsSerbia
Proximity to equator: 1.6° N vs 44.2° N from the equator · Closer wins ↓
Conquered Serbia.
Other category comparisons 3 other winning choices
All eight categories for Equatorial Guinea against Serbia
Category
Equatorial Guinea
Serbia
Result
Areakm² · Higher wins ↑
28,051
77,474
Would lose
Populationpeople · Higher wins ↑
1,847,549
6,623,183
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
29,777
Would lose
Densityper km² · Higher wins ↑
65.9
85.5
Would lose
Highest peakm · Higher wins ↑
3,008
2,169
Would win
Coastlinekm · Higher wins ↑
296
0
Would win
Flag colourscolours · Higher wins ↑
8
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
44.2° N
Would win
20
Round 20Lost30 countries · 3 lives left
MadagascarvsMauritania
Area: 587,041 vs 1,030,700 km² · Higher wins ↑
Returned to the world: Madagascar.
Other category comparisons 5 other winning choices
All eight categories for Madagascar against Mauritania
Category
Madagascar
Mauritania
Result
Areakm² · Higher wins ↑ · Chosen
587,041
1,030,700
Would lose
Populationpeople · Higher wins ↑
31,195,932
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑
1,810
6,972
Would lose
Densityper km² · Higher wins ↑
53.1
4.9
Would win
Highest peakm · Higher wins ↑
2,876
915
Would win
Coastlinekm · Higher wins ↑
4,828
754
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Myanmarvs
Libya
Gambia
Venezuela
Brazil
Jordan
Equatorial Guinea
Madagascar
Republic of the Congo
Haiti
Ireland
Lithuania
Algeria
Mali
Italy
Côte d’Ivoire
Angola
Costa Rica
Norway
Israel
Bahamas
Zimbabwe
Latvia
Afghanistan
Chile
Tanzania
Georgia
Bolivia
Namibia
Botswana
Serbia
Mauritania