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Untimed expedition · Data edition 01051846d672
163Wins
1Losses
0Ties
Explore the final empire · 174 countries
No countries match your search.
The path through the world
One choice at a time.
164 rounds
Where it began · 12 countries
Spain · Turkmenistan · Peru · Papua New Guinea · Botswana · Australia · Iceland · Somalia · Sweden · Brazil · Panama · Malawi
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
41
Round 41Won53 countries · 4 lives left
TurkmenistanvsNiger
Highest peak: 3,139 vs 2,022 m · Higher wins ↑
Conquered Niger.
Other category comparisons 2 other winning choices
All eight categories for Turkmenistan against Niger
Category
Turkmenistan
Niger
Result
Areakm² · Higher wins ↑
488,100
1,267,000
Would lose
Populationpeople · Higher wins ↑
7,364,438
26,159,867
Would lose
Wealth per personint’l $ · Higher wins ↑
19,645
1,903
Would win
Densityper km² · Higher wins ↑
15.1
20.6
Would lose
Highest peakm · Higher wins ↑ · Chosen
3,139
2,022
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
17.6° N
Would lose
42
Round 42Won54 countries · 4 lives left
PhilippinesvsCentral African Republic
Population: 114,891,199 vs 5,152,421 people · Higher wins ↑
Conquered Central African Republic.
Other category comparisons 4 other winning choices
All eight categories for Philippines against Central African Republic
Category
Philippines
Central African Republic
Result
Areakm² · Higher wins ↑
300,000
622,984
Would lose
Populationpeople · Higher wins ↑ · Chosen
114,891,199
5,152,421
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
1,258
Would win
Densityper km² · Higher wins ↑
383.0
8.3
Would win
Highest peakm · Higher wins ↑
2,954
1,410
Would win
Coastlinekm · Higher wins ↑
36,289
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
7.0° N
Would lose
43
Round 43Won55 countries · 4 lives left
MalivsSolomon Islands
Area: 1,240,192 vs 28,896 km² · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 2 other winning choices
All eight categories for Mali against Solomon Islands
Category
Mali
Solomon Islands
Result
Areakm² · Higher wins ↑ · Chosen
1,240,192
28,896
Would win
Populationpeople · Higher wins ↑
23,769,127
800,005
Would win
Wealth per personint’l $ · Higher wins ↑
3,178
2,599
Would win
Densityper km² · Higher wins ↑
19.2
27.7
Would lose
Highest peakm · Higher wins ↑
1,155
2,335
Would lose
Coastlinekm · Higher wins ↑
0
5,313
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
18.6° N
9.6° S
Would lose
44
Round 44Won56 countries · 4 lives left
JamaicavsBelize
Density: 258.4 vs 17.9 per km² · Higher wins ↑
Conquered Belize.
Other category comparisons 3 other winning choices
All eight categories for Jamaica against Belize
Category
Jamaica
Belize
Result
Areakm² · Higher wins ↑
10,991
22,966
Would lose
Populationpeople · Higher wins ↑
2,839,786
411,106
Would win
Wealth per personint’l $ · Higher wins ↑
12,661
13,741
Would lose
Densityper km² · Higher wins ↑ · Chosen
258.4
17.9
Would win
Highest peakm · Higher wins ↑
2,256
1,124
Would win
Coastlinekm · Higher wins ↑
1,022
386
Would win
Flag colourscolours · Higher wins ↑
3
12
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
18.1° N
17.0° N
Would lose
45
Round 45Won57 countries · 4 lives left
PeruvsMauritius
Area: 1,285,216 vs 2,040 km² · Higher wins ↑
Conquered Mauritius.
Other category comparisons 4 other winning choices
All eight categories for Peru against Mauritius
Category
Peru
Mauritius
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
2,040
Would win
Populationpeople · Higher wins ↑
33,845,617
1,248,647
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
29,403
Would lose
Densityper km² · Higher wins ↑
26.3
612.1
Would lose
Highest peakm · Higher wins ↑
6,746
828
Would win
Coastlinekm · Higher wins ↑
2,414
177
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
20.3° S
Would win
46
Round 46Won58 countries · 4 lives left
LibyavsEgypt
Area: 1,759,540 vs 1,001,450 km² · Higher wins ↑
Conquered Egypt.
Other category comparisons 1 other winning choice
All eight categories for Libya against Egypt
Category
Libya
Egypt
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
1,001,450
Would win
Populationpeople · Higher wins ↑
7,305,659
114,535,772
Would lose
Wealth per personint’l $ · Higher wins ↑
13,858
18,540
Would lose
Densityper km² · Higher wins ↑
4.2
114.4
Would lose
Highest peakm · Higher wins ↑
2,267
2,629
Would lose
Coastlinekm · Higher wins ↑
1,770
2,450
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
26.3° N
Would win
47
Round 47Won59 countries · 4 lives left
New ZealandvsNorth Macedonia
Wealth per person: 54,950 vs 25,354 int’l $ · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 5 other winning choices
All eight categories for New Zealand against North Macedonia
Category
New Zealand
North Macedonia
Result
Areakm² · Higher wins ↑
268,838
25,713
Would win
Populationpeople · Higher wins ↑
5,200,000
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,950
25,354
Would win
Densityper km² · Higher wins ↑
19.3
71.1
Would lose
Highest peakm · Higher wins ↑
3,724
2,764
Would win
Coastlinekm · Higher wins ↑
15,134
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
41.5° N
Would lose
48
Round 48Won60 countries · 4 lives left
MalaysiavsMongolia
Density: 106.5 vs 2.2 per km² · Higher wins ↑
Conquered Mongolia.
Other category comparisons 5 other winning choices
All eight categories for Malaysia against Mongolia
Category
Malaysia
Mongolia
Result
Areakm² · Higher wins ↑
329,847
1,564,116
Would lose
Populationpeople · Higher wins ↑
35,126,298
3,481,145
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
18,020
Would win
Densityper km² · Higher wins ↑ · Chosen
106.5
2.2
Would win
Highest peakm · Higher wins ↑
4,095
4,374
Would lose
Coastlinekm · Higher wins ↑
4,675
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
46.0° N
Would win
49
Round 49Won61 countries · 4 lives left
Papua New GuineavsAndorra
Area: 462,840 vs 468 km² · Higher wins ↑
Conquered Andorra.
Other category comparisons 4 other winning choices
All eight categories for Papua New Guinea against Andorra
Category
Papua New Guinea
Andorra
Result
Areakm² · Higher wins ↑ · Chosen
462,840
468
Would win
Populationpeople · Higher wins ↑
10,389,635
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
4,672
71,790
Would lose
Densityper km² · Higher wins ↑
22.4
172.8
Would lose
Highest peakm · Higher wins ↑
4,509
2,946
Would win
Coastlinekm · Higher wins ↑
5,152
0
Would win
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
42.5° N
Would win
50
Round 50Won62 countries · 4 lives left
LebanonvsCameroon
Density: 555.1 vs 59.7 per km² · Higher wins ↑
Conquered Cameroon.
Other category comparisons 1 other winning choice
All eight categories for Lebanon against Cameroon
Category
Lebanon
Cameroon
Result
Areakm² · Higher wins ↑
10,400
475,440
Would lose
Populationpeople · Higher wins ↑
5,773,493
28,372,687
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
5,415
Would win
Densityper km² · Higher wins ↑ · Chosen
555.1
59.7
Would win
Highest peakm · Higher wins ↑
3,088
4,045
Would lose
Coastlinekm · Higher wins ↑
225
402
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
4.5° N
Would lose
51
Round 51Won63 countries · 4 lives left
FrancevsColombia
Wealth per person: 60,927 vs 21,282 int’l $ · Higher wins ↑
Conquered Colombia.
Other category comparisons 3 other winning choices
All eight categories for France against Colombia
Category
France
Colombia
Result
Areakm² · Higher wins ↑
551,500
1,138,910
Would lose
Populationpeople · Higher wins ↑
65,925,961
52,321,152
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,927
21,282
Would win
Densityper km² · Higher wins ↑
119.5
45.9
Would win
Highest peakm · Higher wins ↑
4,810
5,730
Would lose
Coastlinekm · Higher wins ↑
3,427
3,208
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
3.4° N
Would lose
52
Round 52Won64 countries · 4 lives left
TogovsSouth Africa
Proximity to equator: 8.9° N vs 30.2° S from the equator · Closer wins ↓
Conquered South Africa.
Other category comparisons 1 other winning choice
All eight categories for Togo against South Africa
Category
Togo
South Africa
Result
Areakm² · Higher wins ↑
56,785
1,219,090
Would lose
Populationpeople · Higher wins ↑
8,223,850
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
15,212
Would lose
Densityper km² · Higher wins ↑
144.8
51.9
Would win
Highest peakm · Higher wins ↑
986
3,450
Would lose
Coastlinekm · Higher wins ↑
56
2,798
Would lose
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° N
30.2° S
Would win
53
Round 53Won65 countries · 4 lives left
BotswanavsChina
Proximity to equator: 22.1° S vs 32.5° N from the equator · Closer wins ↓
Conquered China.
Other category comparisons 1 other winning choice
All eight categories for Botswana against China
Category
Botswana
China
Result
Areakm² · Higher wins ↑
581,730
9,596,960
Would lose
Populationpeople · Higher wins ↑
2,480,244
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑
21,029
25,200
Would lose
Densityper km² · Higher wins ↑
4.3
147.0
Would lose
Highest peakm · Higher wins ↑
1,495
8,849
Would lose
Coastlinekm · Higher wins ↑
0
14,500
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
22.1° S
32.5° N
Would win
54
Round 54Won66 countries · 4 lives left
Dominican RepublicvsGuinea-Bissau
Density: 232.8 vs 59.6 per km² · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 6 other winning choices
All eight categories for Dominican Republic against Guinea-Bissau
Category
Dominican Republic
Guinea-Bissau
Result
Areakm² · Higher wins ↑
48,670
36,125
Would win
Populationpeople · Higher wins ↑
11,331,265
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
25,861
2,956
Would win
Densityper km² · Higher wins ↑ · Chosen
232.8
59.6
Would win
Highest peakm · Higher wins ↑
3,098
277
Would win
Coastlinekm · Higher wins ↑
1,288
350
Would win
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.1° N
12.1° N
Would lose
55
Round 55Won67 countries · 4 lives left
GreecevsEritrea
Coastline: 13,676 vs 2,234 km · Higher wins ↑
Conquered Eritrea.
Other category comparisons 3 other winning choices
All eight categories for Greece against Eritrea
Category
Greece
Eritrea
Result
Areakm² · Higher wins ↑
131,957
117,600
Would win
Populationpeople · Higher wins ↑
10,407,351
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
42,614
Unavailable
Unavailable
Densityper km² · Higher wins ↑
78.9
29.5
Would win
Highest peakm · Higher wins ↑
2,917
3,018
Would lose
Coastlinekm · Higher wins ↑ · Chosen
13,676
2,234
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.8° N
16.0° N
Would lose
56
Round 56Won68 countries · 4 lives left
GermanyvsPortugal
Population: 83,287,273 vs 10,578,174 people · Higher wins ↑
Conquered Portugal.
Other category comparisons 5 other winning choices
All eight categories for Germany against Portugal
Category
Germany
Portugal
Result
Areakm² · Higher wins ↑
357,022
92,090
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
49,800
Would win
Densityper km² · Higher wins ↑
233.3
114.9
Would win
Highest peakm · Higher wins ↑
2,963
2,351
Would win
Coastlinekm · Higher wins ↑
2,389
1,793
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
40.7° N
Would lose
57
Round 57Won69 countries · 4 lives left
AustraliavsCambodia
Area: 7,741,220 vs 181,035 km² · Higher wins ↑
Conquered Cambodia.
Other category comparisons 4 other winning choices
All eight categories for Australia against Cambodia
Category
Australia
Cambodia
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
181,035
Would win
Populationpeople · Higher wins ↑
26,659,922
17,423,880
Would win
Wealth per personint’l $ · Higher wins ↑
72,273
7,437
Would win
Densityper km² · Higher wins ↑
3.4
96.2
Would lose
Highest peakm · Higher wins ↑
2,228
1,810
Would win
Coastlinekm · Higher wins ↑
25,760
443
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
12.6° N
Would lose
58
Round 58Won70 countries · 4 lives left
BelgiumvsBosnia and Herzegovina
Wealth per person: 72,630 vs 23,376 int’l $ · Higher wins ↑
Conquered Bosnia and Herzegovina.
Other category comparisons 3 other winning choices
All eight categories for Belgium against Bosnia and Herzegovina
Category
Belgium
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑
30,528
51,197
Would lose
Populationpeople · Higher wins ↑
11,779,946
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,630
23,376
Would win
Densityper km² · Higher wins ↑
385.9
62.2
Would win
Highest peakm · Higher wins ↑
694
2,386
Would lose
Coastlinekm · Higher wins ↑
66.5
20
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
50.8° N
44.1° N
Would lose
59
Round 59Won71 countries · 4 lives left
PolandvsNigeria
Wealth per person: 48,473 vs 8,712 int’l $ · Higher wins ↑
Conquered Nigeria.
Other category comparisons 1 other winning choice
All eight categories for Poland against Nigeria
Category
Poland
Nigeria
Result
Areakm² · Higher wins ↑
312,685
923,768
Would lose
Populationpeople · Higher wins ↑
36,687,353
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,473
8,712
Would win
Densityper km² · Higher wins ↑
117.3
246.7
Would lose
Highest peakm · Higher wins ↑
2,499
2,419
Would win
Coastlinekm · Higher wins ↑
440
853
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
9.4° N
Would lose
60
Round 60Won72 countries · 4 lives left
MauritaniavsZimbabwe
Coastline: 754 vs 0 km · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 2 other winning choices
All eight categories for Mauritania against Zimbabwe
Category
Mauritania
Zimbabwe
Result
Areakm² · Higher wins ↑
1,030,700
390,757
Would win
Populationpeople · Higher wins ↑
5,022,441
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑
6,972
5,796
Would win
Densityper km² · Higher wins ↑
4.9
41.8
Would lose
Highest peakm · Higher wins ↑
915
2,592
Would lose
Coastlinekm · Higher wins ↑ · Chosen
754
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Turkmenistanvs
Niger
Philippines
Central African Republic
Mali
Solomon Islands
Jamaica
Belize
Peru
Mauritius
Libya
Egypt
New Zealand
North Macedonia
Malaysia
Mongolia
Papua New Guinea
Andorra
Lebanon
Cameroon
France
Colombia
Togo
South Africa
Botswana
China
Dominican Republic
Guinea-Bissau
Greece
Eritrea
Germany
Portugal
Australia
Cambodia
Belgium
Bosnia and Herzegovina
Poland
Nigeria
Mauritania
Zimbabwe