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Untimed expedition · Data edition 01051846d672
97Wins
4Losses
3Ties
Explore the final empire · 108 countries
No countries match your search.
The path through the world
One choice at a time.
104 rounds
Where it began · 12 countries
Botswana · Myanmar · Malta · Namibia · Sweden · Uganda · Nicaragua · Poland · Liberia · China · North Korea · Italy
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 1Lost11 countries · 3 lives left
BotswanavsCroatia
Population: 2,480,244 vs 3,859,686 people · Higher wins ↑
Returned to the world: Botswana.
Other category comparisons 2 other winning choices
All eight categories for Botswana against Croatia
Category
Botswana
Croatia
Result
Areakm² · Higher wins ↑
581,730
56,594
Would win
Populationpeople · Higher wins ↑ · Chosen
2,480,244
3,859,686
Would lose
Wealth per personint’l $ · Higher wins ↑
21,029
47,760
Would lose
Densityper km² · Higher wins ↑
4.3
68.2
Would lose
Highest peakm · Higher wins ↑
1,495
1,831
Would lose
Coastlinekm · Higher wins ↑
0
5,835
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° S
45.8° N
Would win
2
Round 2Won12 countries · 3 lives left
MyanmarvsMorocco
Flag colours: 4 vs 2 colours · Higher wins ↑
Conquered Morocco.
Other category comparisons 5 other winning choices
All eight categories for Myanmar against Morocco
Category
Myanmar
Morocco
Result
Areakm² · Higher wins ↑
676,578
446,550
Would win
Populationpeople · Higher wins ↑
54,133,798
37,712,505
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
9,903
Would lose
Densityper km² · Higher wins ↑
80.0
84.5
Would lose
Highest peakm · Higher wins ↑
5,870
4,165
Would win
Coastlinekm · Higher wins ↑
1,930
1,835
Would win
Flag colourscolours · Higher wins ↑ · Chosen
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
31.9° N
Would win
3
Round 3Won13 countries · 3 lives left
MaltavsKazakhstan
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Kazakhstan.
Other category comparisons 4 other winning choices
All eight categories for Malta against Kazakhstan
Category
Malta
Kazakhstan
Result
Areakm² · Higher wins ↑
316
2,724,900
Would lose
Populationpeople · Higher wins ↑
552,747
20,330,104
Would lose
Wealth per personint’l $ · Higher wins ↑
67,101
38,547
Would win
Densityper km² · Higher wins ↑
1,749.2
7.5
Would win
Highest peakm · Higher wins ↑
253
7,010
Would lose
Coastlinekm · Higher wins ↑
196.8
0
Would win
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
48.5° N
Would win
4
Round 4Won14 countries · 3 lives left
NamibiavsSpain
Area: 824,292 vs 505,370 km² · Higher wins ↑
Conquered Spain.
Other category comparisons 1 other winning choice
All eight categories for Namibia against Spain
Category
Namibia
Spain
Result
Areakm² · Higher wins ↑ · Chosen
824,292
505,370
Would win
Populationpeople · Higher wins ↑
2,963,095
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑
11,248
55,661
Would lose
Densityper km² · Higher wins ↑
3.6
95.7
Would lose
Highest peakm · Higher wins ↑
2,573
3,718
Would lose
Coastlinekm · Higher wins ↑
1,572
4,964
Would lose
Flag colourscolours · Higher wins ↑
5
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
20.6° S
40.0° N
Would win
5
Round 5Won15 countries · 3 lives left
SwedenvsDominican Republic
Wealth per person: 68,458 vs 25,861 int’l $ · Higher wins ↑
Conquered Dominican Republic.
Other category comparisons 2 other winning choices
All eight categories for Sweden against Dominican Republic
Category
Sweden
Dominican Republic
Result
Areakm² · Higher wins ↑
450,295
48,670
Would win
Populationpeople · Higher wins ↑
10,536,632
11,331,265
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
68,458
25,861
Would win
Densityper km² · Higher wins ↑
23.4
232.8
Would lose
Highest peakm · Higher wins ↑
2,100
3,098
Would lose
Coastlinekm · Higher wins ↑
3,218
1,288
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
65.8° N
19.1° N
Would lose
6
Round 6Won16 countries · 3 lives left
UgandavsRomania
Population: 48,656,601 vs 19,061,062 people · Higher wins ↑
Conquered Romania.
Other category comparisons 5 other winning choices
All eight categories for Uganda against Romania
Category
Uganda
Romania
Result
Areakm² · Higher wins ↑
241,038
238,391
Would win
Populationpeople · Higher wins ↑ · Chosen
48,656,601
19,061,062
Would win
Wealth per personint’l $ · Higher wins ↑
3,100
45,982
Would lose
Densityper km² · Higher wins ↑
201.9
80.0
Would win
Highest peakm · Higher wins ↑
5,110
2,544
Would win
Coastlinekm · Higher wins ↑
0
225
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.0° N
45.7° N
Would win
7
Round 7Won17 countries · 3 lives left
NicaraguavsUzbekistan
Proximity to equator: 12.6° N vs 41.5° N from the equator · Closer wins ↓
Conquered Uzbekistan.
Other category comparisons 2 other winning choices
All eight categories for Nicaragua against Uzbekistan
Category
Nicaragua
Uzbekistan
Result
Areakm² · Higher wins ↑
130,370
447,400
Would lose
Populationpeople · Higher wins ↑
6,823,613
35,652,307
Would lose
Wealth per personint’l $ · Higher wins ↑
8,327
11,679
Would lose
Densityper km² · Higher wins ↑
52.3
79.7
Would lose
Highest peakm · Higher wins ↑
2,085
4,643
Would lose
Coastlinekm · Higher wins ↑
910
0
Would win
Flag colourscolours · Higher wins ↑
10
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.6° N
41.5° N
Would win
8
Round 8Won18 countries · 3 lives left
PolandvsSerbia
Area: 312,685 vs 77,474 km² · Higher wins ↑
Conquered Serbia.
Other category comparisons 5 other winning choices
All eight categories for Poland against Serbia
Category
Poland
Serbia
Result
Areakm² · Higher wins ↑ · Chosen
312,685
77,474
Would win
Populationpeople · Higher wins ↑
36,687,353
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑
48,473
29,777
Would win
Densityper km² · Higher wins ↑
117.3
85.5
Would win
Highest peakm · Higher wins ↑
2,499
2,169
Would win
Coastlinekm · Higher wins ↑
440
0
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
44.2° N
Would lose
9
Round 9Tied18 countries · 3 lives left
LiberiavsCuba
Flag colours: 3 vs 3 colours · Higher wins ↑
Cuba became contested.
Other category comparisons 2 other winning choices
All eight categories for Liberia against Cuba
Category
Liberia
Cuba
Result
Areakm² · Higher wins ↑
111,369
110,860
Would win
Populationpeople · Higher wins ↑
5,493,031
11,019,931
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
1,796
Unavailable
Unavailable
Densityper km² · Higher wins ↑
49.3
99.4
Would lose
Highest peakm · Higher wins ↑
1,447
1,974
Would lose
Coastlinekm · Higher wins ↑
579
3,735
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
20.6° N
Would win
10
Round 10Won20 countries · 3 lives left
ChinavsGermany
Population: 1,410,710,000 vs 83,287,273 people · Higher wins ↑
Conquered Germany, Cuba.
Other category comparisons 4 other winning choices
All eight categories for China against Germany
Category
China
Germany
Result
Areakm² · Higher wins ↑
9,596,960
357,022
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
83,287,273
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
72,262
Would lose
Densityper km² · Higher wins ↑
147.0
233.3
Would lose
Highest peakm · Higher wins ↑
8,849
2,963
Would win
Coastlinekm · Higher wins ↑
14,500
2,389
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
51.0° N
Would win
11
Round 11Won21 countries · 3 lives left
North KoreavsBrunei
Population: 26,418,204 vs 458,949 people · Higher wins ↑
Conquered Brunei.
Other category comparisons 4 other winning choices
All eight categories for North Korea against Brunei
Category
North Korea
Brunei
Result
Areakm² · Higher wins ↑
120,538
5,765
Would win
Populationpeople · Higher wins ↑ · Chosen
26,418,204
458,949
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
85,103
Unavailable
Densityper km² · Higher wins ↑
219.2
79.6
Would win
Highest peakm · Higher wins ↑
2,744
1,850
Would win
Coastlinekm · Higher wins ↑
2,495
161
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
4.5° N
Would lose
12
Round 12Won22 countries · 3 lives left
ItalyvsHungary
Wealth per person: 60,350 vs 46,376 int’l $ · Higher wins ↑
Conquered Hungary.
Other category comparisons 6 other winning choices
All eight categories for Italy against Hungary
Category
Italy
Hungary
Result
Areakm² · Higher wins ↑
301,340
93,028
Would win
Populationpeople · Higher wins ↑
58,984,216
9,592,186
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,350
46,376
Would win
Densityper km² · Higher wins ↑
195.7
103.1
Would win
Highest peakm · Higher wins ↑
4,748
1,014
Would win
Coastlinekm · Higher wins ↑
7,600
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
47.3° N
Would win
13
Round 13Won23 countries · 3 lives left
MyanmarvsLaos
Area: 676,578 vs 236,800 km² · Higher wins ↑
Conquered Laos.
Other category comparisons 5 other winning choices
All eight categories for Myanmar against Laos
Category
Myanmar
Laos
Result
Areakm² · Higher wins ↑ · Chosen
676,578
236,800
Would win
Populationpeople · Higher wins ↑
54,133,798
7,664,993
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
9,299
Would lose
Densityper km² · Higher wins ↑
80.0
32.4
Would win
Highest peakm · Higher wins ↑
5,870
2,817
Would win
Coastlinekm · Higher wins ↑
1,930
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
19.6° N
Would lose
14
Round 14Won24 countries · 3 lives left
MoroccovsGambia
Wealth per person: 9,903 vs 3,292 int’l $ · Higher wins ↑
Conquered Gambia.
Other category comparisons 4 other winning choices
All eight categories for Morocco against Gambia
Category
Morocco
Gambia
Result
Areakm² · Higher wins ↑
446,550
11,300
Would win
Populationpeople · Higher wins ↑
37,712,505
2,697,845
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
9,903
3,292
Would win
Densityper km² · Higher wins ↑
84.5
238.7
Would lose
Highest peakm · Higher wins ↑
4,165
63
Would win
Coastlinekm · Higher wins ↑
1,835
80
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
13.6° N
Would lose
15
Round 15Won25 countries · 3 lives left
MaltavsLithuania
Wealth per person: 67,101 vs 52,720 int’l $ · Higher wins ↑
Conquered Lithuania.
Other category comparisons 3 other winning choices
All eight categories for Malta against Lithuania
Category
Malta
Lithuania
Result
Areakm² · Higher wins ↑
316
65,300
Would lose
Populationpeople · Higher wins ↑
552,747
2,871,585
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
67,101
52,720
Would win
Densityper km² · Higher wins ↑
1,749.2
44.0
Would win
Highest peakm · Higher wins ↑
253
294
Would lose
Coastlinekm · Higher wins ↑
196.8
90
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
55.1° N
Would win
16
Round 16Won26 countries · 3 lives left
KazakhstanvsSlovenia
Area: 2,724,900 vs 20,273 km² · Higher wins ↑
Conquered Slovenia.
Other category comparisons 2 other winning choices
All eight categories for Kazakhstan against Slovenia
Category
Kazakhstan
Slovenia
Result
Areakm² · Higher wins ↑ · Chosen
2,724,900
20,273
Would win
Populationpeople · Higher wins ↑
20,330,104
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
38,547
56,151
Would lose
Densityper km² · Higher wins ↑
7.5
104.6
Would lose
Highest peakm · Higher wins ↑
7,010
2,864
Would win
Coastlinekm · Higher wins ↑
0
46.6
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
48.5° N
46.0° N
Would lose
17
Round 17Won27 countries · 3 lives left
NamibiavsSouth Africa
Proximity to equator: 20.6° S vs 30.2° S from the equator · Closer wins ↓
Conquered South Africa.
Other category comparisons 0 other winning choices
All eight categories for Namibia against South Africa
Category
Namibia
South Africa
Result
Areakm² · Higher wins ↑
824,292
1,219,090
Would lose
Populationpeople · Higher wins ↑
2,963,095
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
11,248
15,212
Would lose
Densityper km² · Higher wins ↑
3.6
51.9
Would lose
Highest peakm · Higher wins ↑
2,573
3,450
Would lose
Coastlinekm · Higher wins ↑
1,572
2,798
Would lose
Flag colourscolours · Higher wins ↑
5
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
20.6° S
30.2° S
Would win
18
Round 18Won28 countries · 3 lives left
SpainvsFrance
Flag colours: 10 vs 3 colours · Higher wins ↑
Conquered France.
Other category comparisons 2 other winning choices
All eight categories for Spain against France
Category
Spain
France
Result
Areakm² · Higher wins ↑
505,370
551,500
Would lose
Populationpeople · Higher wins ↑
48,352,528
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
55,661
60,927
Would lose
Densityper km² · Higher wins ↑
95.7
119.5
Would lose
Highest peakm · Higher wins ↑
3,718
4,810
Would lose
Coastlinekm · Higher wins ↑
4,964
3,427
Would win
Flag colourscolours · Higher wins ↑ · Chosen
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
46.7° N
Would win
19
Round 19Won29 countries · 3 lives left
SwedenvsZambia
Wealth per person: 68,458 vs 4,080 int’l $ · Higher wins ↑
Conquered Zambia.
Other category comparisons 1 other winning choice
All eight categories for Sweden against Zambia
Category
Sweden
Zambia
Result
Areakm² · Higher wins ↑
450,295
752,618
Would lose
Populationpeople · Higher wins ↑
10,536,632
20,723,965
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
68,458
4,080
Would win
Densityper km² · Higher wins ↑
23.4
27.5
Would lose
Highest peakm · Higher wins ↑
2,100
2,330
Would lose
Coastlinekm · Higher wins ↑
3,218
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
65.8° N
14.7° S
Would lose
20
Round 20Won30 countries · 3 lives left
Dominican RepublicvsJapan
Flag colours: 6 vs 2 colours · Higher wins ↑
Conquered Japan.
Other category comparisons 1 other winning choice
All eight categories for Dominican Republic against Japan
Category
Dominican Republic
Japan
Result
Areakm² · Higher wins ↑
48,670
377,915
Would lose
Populationpeople · Higher wins ↑
11,331,265
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑
25,861
52,726
Would lose
Densityper km² · Higher wins ↑
232.8
329.5
Would lose
Highest peakm · Higher wins ↑
3,098
3,776
Would lose
Coastlinekm · Higher wins ↑
1,288
29,751
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Botswanavs
Croatia
Myanmar
Morocco
Malta
Kazakhstan
Namibia
Spain
Sweden
Dominican Republic
Uganda
Romania
Nicaragua
Uzbekistan
Poland
Serbia
Liberia
Cuba
China
Germany
North Korea
Brunei
Italy
Hungary
Laos
Gambia
Lithuania
Slovenia
South Africa
France
Zambia
Japan