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Untimed expedition · Data edition 01051846d672
21Wins
2Losses
1Ties
Explore the final empire · 32 countries
No countries match your search.
The path through the world
One choice at a time.
24 rounds
Where it began · 12 countries
Gabon · Guinea-Bissau · Nepal · Somalia · Mauritania · Ghana · Central African Republic · Bahamas · France · Togo · Bulgaria · Kenya
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
GabonvsLithuania
Proximity to equator: 0.6° S vs 55.1° N from the equator · Closer wins ↓
Conquered Lithuania.
Other category comparisons 3 other winning choices
All eight categories for Gabon against Lithuania
Category
Gabon
Lithuania
Result
Areakm² · Higher wins ↑
267,667
65,300
Would win
Populationpeople · Higher wins ↑
2,484,789
2,871,585
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
52,720
Would lose
Densityper km² · Higher wins ↑
9.3
44.0
Would lose
Highest peakm · Higher wins ↑
1,050
294
Would win
Coastlinekm · Higher wins ↑
885
90
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
55.1° N
Would win
2
Round 2Won14 countries · 4 lives left
Guinea-BissauvsMontenegro
Proximity to equator: 12.1° N vs 42.8° N from the equator · Closer wins ↓
Conquered Montenegro.
Other category comparisons 4 other winning choices
All eight categories for Guinea-Bissau against Montenegro
Category
Guinea-Bissau
Montenegro
Result
Areakm² · Higher wins ↑
36,125
13,812
Would win
Populationpeople · Higher wins ↑
2,153,339
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
2,956
31,863
Would lose
Densityper km² · Higher wins ↑
59.6
45.1
Would win
Highest peakm · Higher wins ↑
277
2,534
Would lose
Coastlinekm · Higher wins ↑
350
293.5
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
42.8° N
Would win
3
Round 3Won15 countries · 4 lives left
NepalvsParaguay
Highest peak: 8,849 vs 842 m · Higher wins ↑
Conquered Paraguay.
Other category comparisons 2 other winning choices
All eight categories for Nepal against Paraguay
Category
Nepal
Paraguay
Result
Areakm² · Higher wins ↑
147,181
406,752
Would lose
Populationpeople · Higher wins ↑
29,694,614
6,844,146
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
17,585
Would lose
Densityper km² · Higher wins ↑
201.8
16.8
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
842
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
21.6° S
Would lose
4
Round 4Won16 countries · 4 lives left
SomaliavsMalta
Area: 637,657 vs 316 km² · Higher wins ↑
Conquered Malta.
Other category comparisons 4 other winning choices
All eight categories for Somalia against Malta
Category
Somalia
Malta
Result
Areakm² · Higher wins ↑ · Chosen
637,657
316
Would win
Populationpeople · Higher wins ↑
18,358,615
552,747
Would win
Wealth per personint’l $ · Higher wins ↑
1,557
67,101
Would lose
Densityper km² · Higher wins ↑
28.8
1,749.2
Would lose
Highest peakm · Higher wins ↑
2,460
253
Would win
Coastlinekm · Higher wins ↑
3,025
196.8
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
35.9° N
Would win
5
Round 5Won17 countries · 4 lives left
MauritaniavsMorocco
Proximity to equator: 19.4° N vs 31.9° N from the equator · Closer wins ↓
Conquered Morocco.
Other category comparisons 2 other winning choices
All eight categories for Mauritania against Morocco
Category
Mauritania
Morocco
Result
Areakm² · Higher wins ↑
1,030,700
446,550
Would win
Populationpeople · Higher wins ↑
5,022,441
37,712,505
Would lose
Wealth per personint’l $ · Higher wins ↑
6,972
9,903
Would lose
Densityper km² · Higher wins ↑
4.9
84.5
Would lose
Highest peakm · Higher wins ↑
915
4,165
Would lose
Coastlinekm · Higher wins ↑
754
1,835
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.4° N
31.9° N
Would win
6
Round 6Won18 countries · 4 lives left
GhanavsCzechia
Coastline: 539 vs 0 km · Higher wins ↑
Conquered Czechia.
Other category comparisons 5 other winning choices
All eight categories for Ghana against Czechia
Category
Ghana
Czechia
Result
Areakm² · Higher wins ↑
238,533
78,867
Would win
Populationpeople · Higher wins ↑
33,787,914
10,864,042
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
56,062
Would lose
Densityper km² · Higher wins ↑
141.6
137.8
Would win
Highest peakm · Higher wins ↑
885
1,602
Would lose
Coastlinekm · Higher wins ↑ · Chosen
539
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
49.8° N
Would win
7
Round 7Won19 countries · 4 lives left
Central African RepublicvsSerbia
Proximity to equator: 7.0° N vs 44.2° N from the equator · Closer wins ↓
Conquered Serbia.
Other category comparisons 1 other winning choice
All eight categories for Central African Republic against Serbia
Category
Central African Republic
Serbia
Result
Areakm² · Higher wins ↑
622,984
77,474
Would win
Populationpeople · Higher wins ↑
5,152,421
6,623,183
Would lose
Wealth per personint’l $ · Higher wins ↑
1,258
29,777
Would lose
Densityper km² · Higher wins ↑
8.3
85.5
Would lose
Highest peakm · Higher wins ↑
1,410
2,169
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
5
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
44.2° N
Would win
8
Round 8Won20 countries · 4 lives left
BahamasvsJordan
Coastline: 3,542 vs 26 km · Higher wins ↑
Conquered Jordan.
Other category comparisons 2 other winning choices
All eight categories for Bahamas against Jordan
Category
Bahamas
Jordan
Result
Areakm² · Higher wins ↑
13,880
89,342
Would lose
Populationpeople · Higher wins ↑
399,440
11,439,213
Would lose
Wealth per personint’l $ · Higher wins ↑
39,122
11,451
Would win
Densityper km² · Higher wins ↑
28.8
128.0
Would lose
Highest peakm · Higher wins ↑
64
1,854
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,542
26
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.7° N
30.7° N
Would win
9
Round 9Won21 countries · 4 lives left
FrancevsMozambique
Population: 65,925,961 vs 33,635,160 people · Higher wins ↑
Conquered Mozambique.
Other category comparisons 4 other winning choices
All eight categories for France against Mozambique
Category
France
Mozambique
Result
Areakm² · Higher wins ↑
551,500
799,380
Would lose
Populationpeople · Higher wins ↑ · Chosen
65,925,961
33,635,160
Would win
Wealth per personint’l $ · Higher wins ↑
60,927
1,680
Would win
Densityper km² · Higher wins ↑
119.5
42.1
Would win
Highest peakm · Higher wins ↑
4,810
2,436
Would win
Coastlinekm · Higher wins ↑
3,427
2,470
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
14.0° S
Would lose
10
Round 10Won22 countries · 4 lives left
TogovsTunisia
Proximity to equator: 8.9° N vs 35.3° N from the equator · Closer wins ↓
Conquered Tunisia.
Other category comparisons 2 other winning choices
All eight categories for Togo against Tunisia
Category
Togo
Tunisia
Result
Areakm² · Higher wins ↑
56,785
163,610
Would lose
Populationpeople · Higher wins ↑
8,223,850
12,200,431
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
14,052
Would lose
Densityper km² · Higher wins ↑
144.8
74.6
Would win
Highest peakm · Higher wins ↑
986
1,544
Would lose
Coastlinekm · Higher wins ↑
56
1,148
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° N
35.3° N
Would win
11
Round 11Won23 countries · 4 lives left
BulgariavsCameroon
Wealth per person: 38,829 vs 5,415 int’l $ · Higher wins ↑
Conquered Cameroon.
Other category comparisons 0 other winning choices
All eight categories for Bulgaria against Cameroon
Category
Bulgaria
Cameroon
Result
Areakm² · Higher wins ↑
110,879
475,440
Would lose
Populationpeople · Higher wins ↑
6,446,596
28,372,687
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
38,829
5,415
Would win
Densityper km² · Higher wins ↑
58.1
59.7
Would lose
Highest peakm · Higher wins ↑
2,925
4,045
Would lose
Coastlinekm · Higher wins ↑
354
402
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
4.5° N
Would lose
12
Round 12Won24 countries · 4 lives left
KenyavsArgentina
Proximity to equator: 0.4° N vs 31.4° S from the equator · Closer wins ↓
Conquered Argentina.
Other category comparisons 2 other winning choices
All eight categories for Kenya against Argentina
Category
Kenya
Argentina
Result
Areakm² · Higher wins ↑
580,367
2,780,400
Would lose
Populationpeople · Higher wins ↑
55,339,003
45,538,401
Would win
Wealth per personint’l $ · Higher wins ↑
6,322
30,246
Would lose
Densityper km² · Higher wins ↑
95.4
16.4
Would win
Highest peakm · Higher wins ↑
5,199
6,962
Would lose
Coastlinekm · Higher wins ↑
536
4,989
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.4° N
31.4° S
Would win
13
Round 13Won25 countries · 4 lives left
GabonvsIran
Proximity to equator: 0.6° S vs 32.1° N from the equator · Closer wins ↓
Conquered Iran.
Other category comparisons 1 other winning choice
All eight categories for Gabon against Iran
Category
Gabon
Iran
Result
Areakm² · Higher wins ↑
267,667
1,648,195
Would lose
Populationpeople · Higher wins ↑
2,484,789
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
18,933
Would win
Densityper km² · Higher wins ↑
9.3
55.0
Would lose
Highest peakm · Higher wins ↑
1,050
5,625
Would lose
Coastlinekm · Higher wins ↑
885
2,440
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
32.1° N
Would win
14
Round 14Won26 countries · 4 lives left
LithuaniavsPanama
Wealth per person: 52,720 vs 39,846 int’l $ · Higher wins ↑
Conquered Panama.
Other category comparisons 0 other winning choices
All eight categories for Lithuania against Panama
Category
Lithuania
Panama
Result
Areakm² · Higher wins ↑
65,300
75,420
Would lose
Populationpeople · Higher wins ↑
2,871,585
4,458,759
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
39,846
Would win
Densityper km² · Higher wins ↑
44.0
59.1
Would lose
Highest peakm · Higher wins ↑
294
3,475
Would lose
Coastlinekm · Higher wins ↑
90
2,490
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
8.4° N
Would lose
15
Round 15Won27 countries · 4 lives left
Guinea-BissauvsArmenia
Proximity to equator: 12.1° N vs 40.6° N from the equator · Closer wins ↓
Conquered Armenia.
Other category comparisons 3 other winning choices
All eight categories for Guinea-Bissau against Armenia
Category
Guinea-Bissau
Armenia
Result
Areakm² · Higher wins ↑
36,125
29,743
Would win
Populationpeople · Higher wins ↑
2,153,339
2,964,300
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
21,552
Would lose
Densityper km² · Higher wins ↑
59.6
99.7
Would lose
Highest peakm · Higher wins ↑
277
4,090
Would lose
Coastlinekm · Higher wins ↑
350
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
40.6° N
Would win
16
Round 16Won28 countries · 4 lives left
MontenegrovsSenegal
Wealth per person: 31,863 vs 4,782 int’l $ · Higher wins ↑
Conquered Senegal.
Other category comparisons 2 other winning choices
All eight categories for Montenegro against Senegal
Category
Montenegro
Senegal
Result
Areakm² · Higher wins ↑
13,812
196,722
Would lose
Populationpeople · Higher wins ↑
623,529
18,077,573
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
31,863
4,782
Would win
Densityper km² · Higher wins ↑
45.1
91.9
Would lose
Highest peakm · Higher wins ↑
2,534
648
Would win
Coastlinekm · Higher wins ↑
293.5
531
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.8° N
15.2° N
Would lose
17
Round 17Won29 countries · 4 lives left
NepalvsVietnam
Highest peak: 8,849 vs 3,144 m · Higher wins ↑
Conquered Vietnam.
Other category comparisons 1 other winning choice
All eight categories for Nepal against Vietnam
Category
Nepal
Vietnam
Result
Areakm² · Higher wins ↑
147,181
331,210
Would lose
Populationpeople · Higher wins ↑
29,694,614
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑
5,400
15,034
Would lose
Densityper km² · Higher wins ↑
201.8
303.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
8,849
3,144
Would win
Coastlinekm · Higher wins ↑
0
3,444
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
21.7° N
Would lose
18
Round 18Lost28 countries · 3 lives left
ParaguayvsHonduras
Highest peak: 842 vs 2,870 m · Higher wins ↑
Returned to the world: Paraguay.
Other category comparisons 3 other winning choices
All eight categories for Paraguay against Honduras
Category
Paraguay
Honduras
Result
Areakm² · Higher wins ↑
406,752
112,090
Would win
Populationpeople · Higher wins ↑
6,844,146
10,644,851
Would lose
Wealth per personint’l $ · Higher wins ↑
17,585
7,184
Would win
Densityper km² · Higher wins ↑
16.8
95.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
842
2,870
Would lose
Coastlinekm · Higher wins ↑
0
823
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° S
14.7° N
Would lose
19
Round 19Won29 countries · 3 lives left
SomaliavsUzbekistan
Coastline: 3,025 vs 0 km · Higher wins ↑
Conquered Uzbekistan.
Other category comparisons 2 other winning choices
All eight categories for Somalia against Uzbekistan
Category
Somalia
Uzbekistan
Result
Areakm² · Higher wins ↑
637,657
447,400
Would win
Populationpeople · Higher wins ↑
18,358,615
35,652,307
Would lose
Wealth per personint’l $ · Higher wins ↑
1,557
11,679
Would lose
Densityper km² · Higher wins ↑
28.8
79.7
Would lose
Highest peakm · Higher wins ↑
2,460
4,643
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,025
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
41.5° N
Would win
20
Round 20Tied29 countries · 3 lives left
MaltavsChile
Flag colours: 3 vs 3 colours · Higher wins ↑
Chile became contested.
Other category comparisons 2 other winning choices
All eight categories for Malta against Chile
Category
Malta
Chile
Result
Areakm² · Higher wins ↑
316
756,102
Would lose
Populationpeople · Higher wins ↑
552,747
19,658,835
Would lose
Wealth per personint’l $ · Higher wins ↑
67,101
33,174
Would win
Densityper km² · Higher wins ↑
1,749.2
26.0
Would win
Highest peakm · Higher wins ↑
253
6,893
Would lose
Coastlinekm · Higher wins ↑
196.8
6,435
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Gabonvs
Lithuania
Guinea-Bissau
Montenegro
Nepal
Paraguay
Somalia
Malta
Mauritania
Morocco
Ghana
Czechia
Central African Republic
Serbia
Bahamas
Jordan
France
Mozambique
Togo
Tunisia
Bulgaria
Cameroon
Kenya
Argentina
Iran
Panama
Armenia
Senegal
Vietnam
Honduras
Uzbekistan
Chile