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Untimed expedition · Data edition 01051846d672
49Wins
3Losses
1Ties
Explore the final empire · 58 countries
No countries match your search.
The path through the world
One choice at a time.
53 rounds
Where it began · 12 countries
Niger · Nepal · United Arab Emirates · Pakistan · Ghana · Egypt · Mauritania · Madagascar · Angola · Brunei · Estonia · Finland
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
NigervsThailand
Area: 1,267,000 vs 513,120 km² · Higher wins ↑
Conquered Thailand.
Other category comparisons 0 other winning choices
All eight categories for Niger against Thailand
Category
Niger
Thailand
Result
Areakm² · Higher wins ↑ · Chosen
1,267,000
513,120
Would win
Populationpeople · Higher wins ↑
26,159,867
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑
1,903
23,598
Would lose
Densityper km² · Higher wins ↑
20.6
139.7
Would lose
Highest peakm · Higher wins ↑
2,022
2,565
Would lose
Coastlinekm · Higher wins ↑
0
3,219
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.6° N
15.5° N
Would lose
2
Round 2Won14 countries · 4 lives left
NepalvsYemen
Highest peak: 8,849 vs 3,666 m · Higher wins ↑
Conquered Yemen.
Other category comparisons 1 other winning choice
All eight categories for Nepal against Yemen
Category
Nepal
Yemen
Result
Areakm² · Higher wins ↑
147,181
527,968
Would lose
Populationpeople · Higher wins ↑
29,694,614
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
5,400
Unavailable
Unavailable
Densityper km² · Higher wins ↑
201.8
74.6
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
3,666
Would win
Coastlinekm · Higher wins ↑
0
1,906
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
15.3° N
Would lose
3
Round 3Won15 countries · 4 lives left
United Arab EmiratesvsSri Lanka
Wealth per person: 78,020 vs 14,512 int’l $ · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 1 other winning choice
All eight categories for United Arab Emirates against Sri Lanka
Category
United Arab Emirates
Sri Lanka
Result
Areakm² · Higher wins ↑
83,600
65,610
Would win
Populationpeople · Higher wins ↑
10,483,751
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
78,020
14,512
Would win
Densityper km² · Higher wins ↑
125.4
335.9
Would lose
Highest peakm · Higher wins ↑
1,905
2,524
Would lose
Coastlinekm · Higher wins ↑
1,318
1,340
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
7.1° N
Would lose
4
Round 4Won16 countries · 4 lives left
PakistanvsNorth Macedonia
Population: 247,504,495 vs 1,827,816 people · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 5 other winning choices
All eight categories for Pakistan against North Macedonia
Category
Pakistan
North Macedonia
Result
Areakm² · Higher wins ↑
796,095
25,713
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
25,354
Would lose
Densityper km² · Higher wins ↑
310.9
71.1
Would win
Highest peakm · Higher wins ↑
8,611
2,764
Would win
Coastlinekm · Higher wins ↑
1,046
0
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
41.5° N
Would win
5
Round 5Won17 countries · 4 lives left
GhanavsMauritius
Population: 33,787,914 vs 1,248,647 people · Higher wins ↑
Conquered Mauritius.
Other category comparisons 4 other winning choices
All eight categories for Ghana against Mauritius
Category
Ghana
Mauritius
Result
Areakm² · Higher wins ↑
238,533
2,040
Would win
Populationpeople · Higher wins ↑ · Chosen
33,787,914
1,248,647
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
29,403
Would lose
Densityper km² · Higher wins ↑
141.6
612.1
Would lose
Highest peakm · Higher wins ↑
885
828
Would win
Coastlinekm · Higher wins ↑
539
177
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
20.3° S
Would win
6
Round 6Won18 countries · 4 lives left
EgyptvsLebanon
Population: 114,535,772 vs 5,773,493 people · Higher wins ↑
Conquered Lebanon.
Other category comparisons 5 other winning choices
All eight categories for Egypt against Lebanon
Category
Egypt
Lebanon
Result
Areakm² · Higher wins ↑
1,001,450
10,400
Would win
Populationpeople · Higher wins ↑ · Chosen
114,535,772
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
12,585
Would win
Densityper km² · Higher wins ↑
114.4
555.1
Would lose
Highest peakm · Higher wins ↑
2,629
3,088
Would lose
Coastlinekm · Higher wins ↑
2,450
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
34.2° N
Would win
7
Round 7Won19 countries · 4 lives left
MauritaniavsAustralia
Proximity to equator: 19.4° N vs 23.1° S from the equator · Closer wins ↓
Conquered Australia.
Other category comparisons 1 other winning choice
All eight categories for Mauritania against Australia
Category
Mauritania
Australia
Result
Areakm² · Higher wins ↑
1,030,700
7,741,220
Would lose
Populationpeople · Higher wins ↑
5,022,441
26,659,922
Would lose
Wealth per personint’l $ · Higher wins ↑
6,972
72,273
Would lose
Densityper km² · Higher wins ↑
4.9
3.4
Would win
Highest peakm · Higher wins ↑
915
2,228
Would lose
Coastlinekm · Higher wins ↑
754
25,760
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.4° N
23.1° S
Would win
8
Round 8Won20 countries · 4 lives left
MadagascarvsGuyana
Coastline: 4,828 vs 459 km · Higher wins ↑
Conquered Guyana.
Other category comparisons 4 other winning choices
All eight categories for Madagascar against Guyana
Category
Madagascar
Guyana
Result
Areakm² · Higher wins ↑
587,041
214,969
Would win
Populationpeople · Higher wins ↑
31,195,932
826,353
Would win
Wealth per personint’l $ · Higher wins ↑
1,810
54,774
Would lose
Densityper km² · Higher wins ↑
53.1
3.8
Would win
Highest peakm · Higher wins ↑
2,876
2,775
Would win
Coastlinekm · Higher wins ↑ · Chosen
4,828
459
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
18.4° S
2.7° N
Would lose
9
Round 9Won21 countries · 4 lives left
AngolavsAlgeria
Proximity to equator: 13.2° S vs 27.4° N from the equator · Closer wins ↓
Conquered Algeria.
Other category comparisons 2 other winning choices
All eight categories for Angola against Algeria
Category
Angola
Algeria
Result
Areakm² · Higher wins ↑
1,246,700
2,381,740
Would lose
Populationpeople · Higher wins ↑
36,749,906
46,164,219
Would lose
Wealth per personint’l $ · Higher wins ↑
9,550
16,838
Would lose
Densityper km² · Higher wins ↑
29.5
19.4
Would win
Highest peakm · Higher wins ↑
2,620
2,908
Would lose
Coastlinekm · Higher wins ↑
1,600
998
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.2° S
27.4° N
Would win
10
Round 10Won22 countries · 4 lives left
BruneivsLiberia
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Liberia.
Other category comparisons 4 other winning choices
All eight categories for Brunei against Liberia
Category
Brunei
Liberia
Result
Areakm² · Higher wins ↑
5,765
111,369
Would lose
Populationpeople · Higher wins ↑
458,949
5,493,031
Would lose
Wealth per personint’l $ · Higher wins ↑
85,103
1,796
Would win
Densityper km² · Higher wins ↑
79.6
49.3
Would win
Highest peakm · Higher wins ↑
1,850
1,447
Would win
Coastlinekm · Higher wins ↑
161
579
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
7.0° N
Would win
11
Round 11Won23 countries · 4 lives left
EstoniavsMoldova
Wealth per person: 48,848 vs 17,751 int’l $ · Higher wins ↑
Conquered Moldova.
Other category comparisons 2 other winning choices
All eight categories for Estonia against Moldova
Category
Estonia
Moldova
Result
Areakm² · Higher wins ↑
45,228
33,851
Would win
Populationpeople · Higher wins ↑
1,370,286
2,457,783
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,848
17,751
Would win
Densityper km² · Higher wins ↑
30.3
72.6
Would lose
Highest peakm · Higher wins ↑
318
430
Would lose
Coastlinekm · Higher wins ↑
3,794
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
47.5° N
Would lose
12
Round 12Won24 countries · 4 lives left
FinlandvsNorth Korea
Area: 338,145 vs 120,538 km² · Higher wins ↑
Conquered North Korea.
Other category comparisons 0 other winning choices
All eight categories for Finland against North Korea
Category
Finland
North Korea
Result
Areakm² · Higher wins ↑ · Chosen
338,145
120,538
Would win
Populationpeople · Higher wins ↑
5,583,911
26,418,204
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
63,467
Unavailable
Unavailable
Densityper km² · Higher wins ↑
16.5
219.2
Would lose
Highest peakm · Higher wins ↑
1,328
2,744
Would lose
Coastlinekm · Higher wins ↑
1,250
2,495
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
39.9° N
Would lose
13
Round 13Lost23 countries · 3 lives left
NigervsItaly
Population: 26,159,867 vs 58,984,216 people · Higher wins ↑
Returned to the world: Niger.
Other category comparisons 2 other winning choices
All eight categories for Niger against Italy
Category
Niger
Italy
Result
Areakm² · Higher wins ↑
1,267,000
301,340
Would win
Populationpeople · Higher wins ↑ · Chosen
26,159,867
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
1,903
60,350
Would lose
Densityper km² · Higher wins ↑
20.6
195.7
Would lose
Highest peakm · Higher wins ↑
2,022
4,748
Would lose
Coastlinekm · Higher wins ↑
0
7,600
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.6° N
45.1° N
Would win
14
Round 14Won24 countries · 3 lives left
ThailandvsEcuador
Population: 71,702,435 vs 17,980,083 people · Higher wins ↑
Conquered Ecuador.
Other category comparisons 4 other winning choices
All eight categories for Thailand against Ecuador
Category
Thailand
Ecuador
Result
Areakm² · Higher wins ↑
513,120
283,561
Would win
Populationpeople · Higher wins ↑ · Chosen
71,702,435
17,980,083
Would win
Wealth per personint’l $ · Higher wins ↑
23,598
15,907
Would win
Densityper km² · Higher wins ↑
139.7
63.4
Would win
Highest peakm · Higher wins ↑
2,565
6,267
Would lose
Coastlinekm · Higher wins ↑
3,219
2,237
Would win
Flag colourscolours · Higher wins ↑
3
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
1.2° S
Would lose
15
Round 15Won25 countries · 3 lives left
NepalvsIsrael
Highest peak: 8,849 vs 2,224 m · Higher wins ↑
Conquered Israel.
Other category comparisons 4 other winning choices
All eight categories for Nepal against Israel
Category
Nepal
Israel
Result
Areakm² · Higher wins ↑
147,181
21,937
Would win
Populationpeople · Higher wins ↑
29,694,614
9,849,000
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
55,301
Would lose
Densityper km² · Higher wins ↑
201.8
449.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
8,849
2,224
Would win
Coastlinekm · Higher wins ↑
0
273
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
30.9° N
Would win
16
Round 16Won26 countries · 3 lives left
YemenvsHonduras
Area: 527,968 vs 112,090 km² · Higher wins ↑
Conquered Honduras.
Other category comparisons 4 other winning choices
All eight categories for Yemen against Honduras
Category
Yemen
Honduras
Result
Areakm² · Higher wins ↑ · Chosen
527,968
112,090
Would win
Populationpeople · Higher wins ↑
39,390,799
10,644,851
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
7,184
Unavailable
Densityper km² · Higher wins ↑
74.6
95.0
Would lose
Highest peakm · Higher wins ↑
3,666
2,870
Would win
Coastlinekm · Higher wins ↑
1,906
823
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
14.7° N
Would lose
17
Round 17Won27 countries · 3 lives left
United Arab EmiratesvsMontenegro
Wealth per person: 78,020 vs 31,863 int’l $ · Higher wins ↑
Conquered Montenegro.
Other category comparisons 5 other winning choices
All eight categories for United Arab Emirates against Montenegro
Category
United Arab Emirates
Montenegro
Result
Areakm² · Higher wins ↑
83,600
13,812
Would win
Populationpeople · Higher wins ↑
10,483,751
623,529
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
78,020
31,863
Would win
Densityper km² · Higher wins ↑
125.4
45.1
Would win
Highest peakm · Higher wins ↑
1,905
2,534
Would lose
Coastlinekm · Higher wins ↑
1,318
293.5
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
42.8° N
Would win
18
Round 18Won28 countries · 3 lives left
Sri LankavsSouth Sudan
Coastline: 1,340 vs 0 km · Higher wins ↑
Conquered South Sudan.
Other category comparisons 2 other winning choices
All eight categories for Sri Lanka against South Sudan
Category
Sri Lanka
South Sudan
Result
Areakm² · Higher wins ↑
65,610
644,329
Would lose
Populationpeople · Higher wins ↑
22,037,000
11,483,374
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
14,512
Unavailable
Unavailable
Densityper km² · Higher wins ↑
335.9
17.8
Would win
Highest peakm · Higher wins ↑
2,524
3,187
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,340
0
Would win
Flag colourscolours · Higher wins ↑
5
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
7.1° N
Would tie
19
Round 19Won29 countries · 3 lives left
PakistanvsLithuania
Population: 247,504,495 vs 2,871,585 people · Higher wins ↑
Conquered Lithuania.
Other category comparisons 5 other winning choices
All eight categories for Pakistan against Lithuania
Category
Pakistan
Lithuania
Result
Areakm² · Higher wins ↑
796,095
65,300
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
52,720
Would lose
Densityper km² · Higher wins ↑
310.9
44.0
Would win
Highest peakm · Higher wins ↑
8,611
294
Would win
Coastlinekm · Higher wins ↑
1,046
90
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
55.1° N
Would win
20
Round 20Won30 countries · 3 lives left
North MacedoniavsCroatia
Density: 71.1 vs 68.2 per km² · Higher wins ↑
Conquered Croatia.
Other category comparisons 2 other winning choices
All eight categories for North Macedonia against Croatia
Category
North Macedonia
Croatia
Result
Areakm² · Higher wins ↑
25,713
56,594
Would lose
Populationpeople · Higher wins ↑
1,827,816
3,859,686
Would lose
Wealth per personint’l $ · Higher wins ↑
25,354
47,760
Would lose
Densityper km² · Higher wins ↑ · Chosen
71.1
68.2
Would win
Highest peakm · Higher wins ↑
2,764
1,831
Would win
Coastlinekm · Higher wins ↑
0
5,835
Would lose
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Nigervs
Thailand
Nepal
Yemen
United Arab Emirates
Sri Lanka
Pakistan
North Macedonia
Ghana
Mauritius
Egypt
Lebanon
Mauritania
Australia
Madagascar
Guyana
Angola
Algeria
Brunei
Liberia
Estonia
Moldova
Finland
North Korea
Italy
Ecuador
Israel
Honduras
Montenegro
South Sudan
Lithuania
Croatia