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Untimed expedition · Data edition 01051846d672
39Wins
4Losses
0Ties
Explore the final empire · 47 countries
No countries match your search.
The path through the world
One choice at a time.
43 rounds
Where it began · 12 countries
Guinea · Georgia · Myanmar · Russia · Zimbabwe · DR Congo · Egypt · Chile · Latvia · Pakistan · China · Vietnam
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
21
Round 21Won31 countries · 3 lives left
ZimbabwevsIran
Proximity to equator: 19.0° S vs 32.1° N from the equator · Closer wins ↓
Conquered Iran.
Other category comparisons 1 other winning choice
All eight categories for Zimbabwe against Iran
Category
Zimbabwe
Iran
Result
Areakm² · Higher wins ↑
390,757
1,648,195
Would lose
Populationpeople · Higher wins ↑
16,340,822
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑
5,796
18,933
Would lose
Densityper km² · Higher wins ↑
41.8
55.0
Would lose
Highest peakm · Higher wins ↑
2,592
5,625
Would lose
Coastlinekm · Higher wins ↑
0
2,440
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.0° S
32.1° N
Would win
22
Round 22Won32 countries · 3 lives left
SomaliavsKyrgyzstan
Population: 18,358,615 vs 7,099,750 people · Higher wins ↑
Conquered Kyrgyzstan.
Other category comparisons 3 other winning choices
All eight categories for Somalia against Kyrgyzstan
Category
Somalia
Kyrgyzstan
Result
Areakm² · Higher wins ↑
637,657
199,951
Would win
Populationpeople · Higher wins ↑ · Chosen
18,358,615
7,099,750
Would win
Wealth per personint’l $ · Higher wins ↑
1,557
7,304
Would lose
Densityper km² · Higher wins ↑
28.8
35.5
Would lose
Highest peakm · Higher wins ↑
2,460
7,439
Would lose
Coastlinekm · Higher wins ↑
3,025
0
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
41.7° N
Would win
23
Round 23Won33 countries · 3 lives left
DR CongovsJamaica
Population: 105,789,731 vs 2,839,786 people · Higher wins ↑
Conquered Jamaica.
Other category comparisons 3 other winning choices
All eight categories for DR Congo against Jamaica
Category
DR Congo
Jamaica
Result
Areakm² · Higher wins ↑
2,344,858
10,991
Would win
Populationpeople · Higher wins ↑ · Chosen
105,789,731
2,839,786
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
12,661
Would lose
Densityper km² · Higher wins ↑
45.1
258.4
Would lose
Highest peakm · Higher wins ↑
5,110
2,256
Would win
Coastlinekm · Higher wins ↑
37
1,022
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
18.1° N
Would win
24
Round 24Won34 countries · 3 lives left
ArgentinavsAustralia
Density: 16.4 vs 3.4 per km² · Higher wins ↑
Conquered Australia.
Other category comparisons 3 other winning choices
All eight categories for Argentina against Australia
Category
Argentina
Australia
Result
Areakm² · Higher wins ↑
2,780,400
7,741,220
Would lose
Populationpeople · Higher wins ↑
45,538,401
26,659,922
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
72,273
Would lose
Densityper km² · Higher wins ↑ · Chosen
16.4
3.4
Would win
Highest peakm · Higher wins ↑
6,962
2,228
Would win
Coastlinekm · Higher wins ↑
4,989
25,760
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
23.1° S
Would lose
25
Round 25Won35 countries · 3 lives left
EgyptvsGuinea-Bissau
Area: 1,001,450 vs 36,125 km² · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 5 other winning choices
All eight categories for Egypt against Guinea-Bissau
Category
Egypt
Guinea-Bissau
Result
Areakm² · Higher wins ↑ · Chosen
1,001,450
36,125
Would win
Populationpeople · Higher wins ↑
114,535,772
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
2,956
Would win
Densityper km² · Higher wins ↑
114.4
59.6
Would win
Highest peakm · Higher wins ↑
2,629
277
Would win
Coastlinekm · Higher wins ↑
2,450
350
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
12.1° N
Would lose
26
Round 26Won36 countries · 3 lives left
SingaporevsFiji
Wealth per person: 144,728 vs 14,656 int’l $ · Higher wins ↑
Conquered Fiji.
Other category comparisons 3 other winning choices
All eight categories for Singapore against Fiji
Category
Singapore
Fiji
Result
Areakm² · Higher wins ↑
719
18,274
Would lose
Populationpeople · Higher wins ↑
5,917,648
924,145
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
144,728
14,656
Would win
Densityper km² · Higher wins ↑
8,230.4
50.6
Would win
Highest peakm · Higher wins ↑
166
1,324
Would lose
Coastlinekm · Higher wins ↑
193
1,129
Would lose
Flag colourscolours · Higher wins ↑
2
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
17.8° S
Would win
27
Round 27Won37 countries · 3 lives left
ChilevsBangladesh
Coastline: 6,435 vs 580 km · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 5 other winning choices
All eight categories for Chile against Bangladesh
Category
Chile
Bangladesh
Result
Areakm² · Higher wins ↑
756,102
148,460
Would win
Populationpeople · Higher wins ↑
19,658,835
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑
33,174
9,155
Would win
Densityper km² · Higher wins ↑
26.0
1,155.0
Would lose
Highest peakm · Higher wins ↑
6,893
1,060
Would win
Coastlinekm · Higher wins ↑ · Chosen
6,435
580
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
24.3° N
Would win
28
Round 28Lost36 countries · 2 lives left
GambiavsArmenia
Area: 11,300 vs 29,743 km² · Higher wins ↑
Returned to the world: Gambia.
Other category comparisons 4 other winning choices
All eight categories for Gambia against Armenia
Category
Gambia
Armenia
Result
Areakm² · Higher wins ↑ · Chosen
11,300
29,743
Would lose
Populationpeople · Higher wins ↑
2,697,845
2,964,300
Would lose
Wealth per personint’l $ · Higher wins ↑
3,292
21,552
Would lose
Densityper km² · Higher wins ↑
238.7
99.7
Would win
Highest peakm · Higher wins ↑
63
4,090
Would lose
Coastlinekm · Higher wins ↑
80
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.6° N
40.6° N
Would win
29
Round 29Won37 countries · 2 lives left
LatviavsAndorra
Area: 64,589 vs 468 km² · Higher wins ↑
Conquered Andorra.
Other category comparisons 2 other winning choices
All eight categories for Latvia against Andorra
Category
Latvia
Andorra
Result
Areakm² · Higher wins ↑ · Chosen
64,589
468
Would win
Populationpeople · Higher wins ↑
1,883,710
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
42,784
71,790
Would lose
Densityper km² · Higher wins ↑
29.2
172.8
Would lose
Highest peakm · Higher wins ↑
312
2,946
Would lose
Coastlinekm · Higher wins ↑
498
0
Would win
Flag colourscolours · Higher wins ↑
2
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
42.5° N
Would lose
30
Round 30Won38 countries · 2 lives left
NigeriavsColombia
Population: 227,882,945 vs 52,321,152 people · Higher wins ↑
Conquered Colombia.
Other category comparisons 1 other winning choice
All eight categories for Nigeria against Colombia
Category
Nigeria
Colombia
Result
Areakm² · Higher wins ↑
923,768
1,138,910
Would lose
Populationpeople · Higher wins ↑ · Chosen
227,882,945
52,321,152
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
21,282
Would lose
Densityper km² · Higher wins ↑
246.7
45.9
Would win
Highest peakm · Higher wins ↑
2,419
5,730
Would lose
Coastlinekm · Higher wins ↑
853
3,208
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
3.4° N
Would lose
31
Round 31Won39 countries · 2 lives left
PakistanvsFinland
Population: 247,504,495 vs 5,583,911 people · Higher wins ↑
Conquered Finland.
Other category comparisons 4 other winning choices
All eight categories for Pakistan against Finland
Category
Pakistan
Finland
Result
Areakm² · Higher wins ↑
796,095
338,145
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
5,583,911
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
63,467
Would lose
Densityper km² · Higher wins ↑
310.9
16.5
Would win
Highest peakm · Higher wins ↑
8,611
1,328
Would win
Coastlinekm · Higher wins ↑
1,046
1,250
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
63.3° N
Would win
32
Round 32Won40 countries · 2 lives left
South SudanvsMaldives
Area: 644,329 vs 298 km² · Higher wins ↑
Conquered Maldives.
Other category comparisons 3 other winning choices
All eight categories for South Sudan against Maldives
Category
South Sudan
Maldives
Result
Areakm² · Higher wins ↑ · Chosen
644,329
298
Would win
Populationpeople · Higher wins ↑
11,483,374
525,994
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
24,807
Unavailable
Densityper km² · Higher wins ↑
17.8
1,765.1
Would lose
Highest peakm · Higher wins ↑
3,187
5
Would win
Coastlinekm · Higher wins ↑
0
644
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
3.3° N
Would lose
33
Round 33Won41 countries · 2 lives left
ChinavsItaly
Population: 1,410,710,000 vs 58,984,216 people · Higher wins ↑
Conquered Italy.
Other category comparisons 4 other winning choices
All eight categories for China against Italy
Category
China
Italy
Result
Areakm² · Higher wins ↑
9,596,960
301,340
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
58,984,216
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
60,350
Would lose
Densityper km² · Higher wins ↑
147.0
195.7
Would lose
Highest peakm · Higher wins ↑
8,849
4,748
Would win
Coastlinekm · Higher wins ↑
14,500
7,600
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
45.1° N
Would win
34
Round 34Won42 countries · 2 lives left
NigervsMoldova
Area: 1,267,000 vs 33,851 km² · Higher wins ↑
Conquered Moldova.
Other category comparisons 3 other winning choices
All eight categories for Niger against Moldova
Category
Niger
Moldova
Result
Areakm² · Higher wins ↑ · Chosen
1,267,000
33,851
Would win
Populationpeople · Higher wins ↑
26,159,867
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
1,903
17,751
Would lose
Densityper km² · Higher wins ↑
20.6
72.6
Would lose
Highest peakm · Higher wins ↑
2,022
430
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
17.6° N
47.5° N
Would win
35
Round 35Won43 countries · 2 lives left
VietnamvsJapan
Proximity to equator: 21.7° N vs 36.7° N from the equator · Closer wins ↓
Conquered Japan.
Other category comparisons 0 other winning choices
All eight categories for Vietnam against Japan
Category
Vietnam
Japan
Result
Areakm² · Higher wins ↑
331,210
377,915
Would lose
Populationpeople · Higher wins ↑
100,352,192
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑
15,034
52,726
Would lose
Densityper km² · Higher wins ↑
303.0
329.5
Would lose
Highest peakm · Higher wins ↑
3,144
3,776
Would lose
Coastlinekm · Higher wins ↑
3,444
29,751
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
21.7° N
36.7° N
Would win
36
Round 36Won44 countries · 2 lives left
SloveniavsMalawi
Wealth per person: 56,151 vs 1,832 int’l $ · Higher wins ↑
Conquered Malawi.
Other category comparisons 2 other winning choices
All eight categories for Slovenia against Malawi
Category
Slovenia
Malawi
Result
Areakm² · Higher wins ↑
20,273
118,484
Would lose
Populationpeople · Higher wins ↑
2,120,461
21,104,482
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,151
1,832
Would win
Densityper km² · Higher wins ↑
104.6
178.1
Would lose
Highest peakm · Higher wins ↑
2,864
3,002
Would lose
Coastlinekm · Higher wins ↑
46.6
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
13.4° S
Would lose
37
Round 37Won45 countries · 2 lives left
GuineavsLithuania
Population: 14,405,468 vs 2,871,585 people · Higher wins ↑
Conquered Lithuania.
Other category comparisons 5 other winning choices
All eight categories for Guinea against Lithuania
Category
Guinea
Lithuania
Result
Areakm² · Higher wins ↑
245,857
65,300
Would win
Populationpeople · Higher wins ↑ · Chosen
14,405,468
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
4,337
52,720
Would lose
Densityper km² · Higher wins ↑
58.6
44.0
Would win
Highest peakm · Higher wins ↑
1,752
294
Would win
Coastlinekm · Higher wins ↑
320
90
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
10.7° N
55.1° N
Would win
38
Round 38Won46 countries · 2 lives left
BruneivsMauritania
Wealth per person: 85,103 vs 6,972 int’l $ · Higher wins ↑
Conquered Mauritania.
Other category comparisons 4 other winning choices
All eight categories for Brunei against Mauritania
Category
Brunei
Mauritania
Result
Areakm² · Higher wins ↑
5,765
1,030,700
Would lose
Populationpeople · Higher wins ↑
458,949
5,022,441
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
85,103
6,972
Would win
Densityper km² · Higher wins ↑
79.6
4.9
Would win
Highest peakm · Higher wins ↑
1,850
915
Would win
Coastlinekm · Higher wins ↑
161
754
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
19.4° N
Would win
39
Round 39Lost45 countries · 1 life left
Bosnia and HerzegovinavsMalaysia
Density: 62.2 vs 106.5 per km² · Higher wins ↑
Returned to the world: Bosnia and Herzegovina.
Other category comparisons 0 other winning choices
All eight categories for Bosnia and Herzegovina against Malaysia
Category
Bosnia and Herzegovina
Malaysia
Result
Areakm² · Higher wins ↑
51,197
329,847
Would lose
Populationpeople · Higher wins ↑
3,185,073
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑
23,376
36,497
Would lose
Densityper km² · Higher wins ↑ · Chosen
62.2
106.5
Would lose
Highest peakm · Higher wins ↑
2,386
4,095
Would lose
Coastlinekm · Higher wins ↑
20
4,675
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
44.1° N
4.4° N
Would lose
40
Round 40Won46 countries · 1 life left
South AfricavsNamibia
Coastline: 2,798 vs 1,572 km · Higher wins ↑
Conquered Namibia.
Other category comparisons 6 other winning choices
All eight categories for South Africa against Namibia
Category
South Africa
Namibia
Result
Areakm² · Higher wins ↑
1,219,090
824,292
Would win
Populationpeople · Higher wins ↑
63,212,384
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
15,212
11,248
Would win
Densityper km² · Higher wins ↑
51.9
3.6
Would win
Highest peakm · Higher wins ↑
3,450
2,573
Would win
Coastlinekm · Higher wins ↑ · Chosen
2,798
1,572
Would win
Flag colourscolours · Higher wins ↑
6
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Zimbabwevs
Iran
Somalia
Kyrgyzstan
DR Congo
Jamaica
Argentina
Australia
Egypt
Guinea-Bissau
Singapore
Fiji
Chile
Bangladesh
Gambia
Armenia
Latvia
Andorra
Nigeria
Colombia
Pakistan
Finland
South Sudan
Maldives
China
Italy
Niger
Moldova
Vietnam
Japan
Slovenia
Malawi
Guinea
Lithuania
Brunei
Mauritania
Bosnia and Herzegovina
Malaysia
South Africa
Namibia