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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.
21
Round 21Won31 countries · 3 lives left
UgandavsBhutan
Population: 48,656,601 vs 786,385 people · Higher wins ↑
Conquered Bhutan.
Other category comparisons 4 other winning choices
All eight categories for Uganda against Bhutan
Category
Uganda
Bhutan
Result
Areakm² · Higher wins ↑
241,038
38,394
Would win
Populationpeople · Higher wins ↑ · Chosen
48,656,601
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
3,100
16,229
Would lose
Densityper km² · Higher wins ↑
201.9
20.5
Would win
Highest peakm · Higher wins ↑
5,110
7,570
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.0° N
27.5° N
Would win
22
Round 22Won32 countries · 3 lives left
RomaniavsAlbania
Area: 238,391 vs 28,748 km² · Higher wins ↑
Conquered Albania.
Other category comparisons 3 other winning choices
All eight categories for Romania against Albania
Category
Romania
Albania
Result
Areakm² · Higher wins ↑ · Chosen
238,391
28,748
Would win
Populationpeople · Higher wins ↑
19,061,062
2,411,658
Would win
Wealth per personint’l $ · Higher wins ↑
45,982
24,848
Would win
Densityper km² · Higher wins ↑
80.0
83.9
Would lose
Highest peakm · Higher wins ↑
2,544
2,764
Would lose
Coastlinekm · Higher wins ↑
225
362
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.7° N
40.7° N
Would lose
23
Round 23Won33 countries · 3 lives left
NicaraguavsTürkiye
Proximity to equator: 12.6° N vs 39.1° N from the equator · Closer wins ↓
Conquered Türkiye.
Other category comparisons 1 other winning choice
All eight categories for Nicaragua against Türkiye
Category
Nicaragua
Türkiye
Result
Areakm² · Higher wins ↑
130,370
783,562
Would lose
Populationpeople · Higher wins ↑
6,823,613
85,325,965
Would lose
Wealth per personint’l $ · Higher wins ↑
8,327
43,196
Would lose
Densityper km² · Higher wins ↑
52.3
108.9
Would lose
Highest peakm · Higher wins ↑
2,085
5,137
Would lose
Coastlinekm · Higher wins ↑
910
7,200
Would lose
Flag colourscolours · Higher wins ↑
10
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.6° N
39.1° N
Would win
24
Round 24Won34 countries · 3 lives left
UzbekistanvsPalestine
Area: 447,400 vs 6,220 km² · Higher wins ↑
Conquered Palestine.
Other category comparisons 3 other winning choices
All eight categories for Uzbekistan against Palestine
Category
Uzbekistan
Palestine
Result
Areakm² · Higher wins ↑ · Chosen
447,400
6,220
Would win
Populationpeople · Higher wins ↑
35,652,307
5,165,775
Would win
Wealth per personint’l $ · Higher wins ↑
11,679
6,179
Would win
Densityper km² · Higher wins ↑
79.7
830.5
Would lose
Highest peakm · Higher wins ↑
4,643
1,020
Would win
Coastlinekm · Higher wins ↑
0
40
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
32.1° N
Would lose
25
Round 25Won35 countries · 3 lives left
PolandvsKyrgyzstan
Area: 312,685 vs 199,951 km² · Higher wins ↑
Conquered Kyrgyzstan.
Other category comparisons 4 other winning choices
All eight categories for Poland against Kyrgyzstan
Category
Poland
Kyrgyzstan
Result
Areakm² · Higher wins ↑ · Chosen
312,685
199,951
Would win
Populationpeople · Higher wins ↑
36,687,353
7,099,750
Would win
Wealth per personint’l $ · Higher wins ↑
48,473
7,304
Would win
Densityper km² · Higher wins ↑
117.3
35.5
Would win
Highest peakm · Higher wins ↑
2,499
7,439
Would lose
Coastlinekm · Higher wins ↑
440
0
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
41.7° N
Would lose
26
Round 26Won36 countries · 3 lives left
SerbiavsSudan
Wealth per person: 29,777 vs 2,423 int’l $ · Higher wins ↑
Conquered Sudan.
Other category comparisons 2 other winning choices
All eight categories for Serbia against Sudan
Category
Serbia
Sudan
Result
Areakm² · Higher wins ↑
77,474
1,861,484
Would lose
Populationpeople · Higher wins ↑
6,623,183
50,042,791
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
29,777
2,423
Would win
Densityper km² · Higher wins ↑
85.5
26.9
Would win
Highest peakm · Higher wins ↑
2,169
3,042
Would lose
Coastlinekm · Higher wins ↑
0
853
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
44.2° N
16.6° N
Would lose
27
Round 27Won37 countries · 3 lives left
LiberiavsUruguay
Population: 5,493,031 vs 3,388,081 people · Higher wins ↑
Conquered Uruguay.
Other category comparisons 3 other winning choices
All eight categories for Liberia against Uruguay
Category
Liberia
Uruguay
Result
Areakm² · Higher wins ↑
111,369
176,215
Would lose
Populationpeople · Higher wins ↑ · Chosen
5,493,031
3,388,081
Would win
Wealth per personint’l $ · Higher wins ↑
1,796
34,546
Would lose
Densityper km² · Higher wins ↑
49.3
19.2
Would win
Highest peakm · Higher wins ↑
1,447
514
Would win
Coastlinekm · Higher wins ↑
579
660
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
32.9° S
Would win
28
Round 28Won38 countries · 3 lives left
ChinavsIceland
Population: 1,410,710,000 vs 385,663 people · Higher wins ↑
Conquered Iceland.
Other category comparisons 5 other winning choices
All eight categories for China against Iceland
Category
China
Iceland
Result
Areakm² · Higher wins ↑
9,596,960
103,000
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
385,663
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
82,257
Would lose
Densityper km² · Higher wins ↑
147.0
3.7
Would win
Highest peakm · Higher wins ↑
8,849
2,110
Would win
Coastlinekm · Higher wins ↑
14,500
4,970
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
64.7° N
Would win
29
Round 29Won39 countries · 3 lives left
GermanyvsIndonesia
Wealth per person: 72,262 vs 15,428 int’l $ · Higher wins ↑
Conquered Indonesia.
Other category comparisons 2 other winning choices
All eight categories for Germany against Indonesia
Category
Germany
Indonesia
Result
Areakm² · Higher wins ↑
357,022
1,904,569
Would lose
Populationpeople · Higher wins ↑
83,287,273
281,190,067
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,262
15,428
Would win
Densityper km² · Higher wins ↑
233.3
147.6
Would win
Highest peakm · Higher wins ↑
2,963
4,884
Would lose
Coastlinekm · Higher wins ↑
2,389
54,716
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
1.0° S
Would lose
30
Round 30Won40 countries · 3 lives left
CubavsMoldova
Area: 110,860 vs 33,851 km² · Higher wins ↑
Conquered Moldova.
Other category comparisons 5 other winning choices
All eight categories for Cuba against Moldova
Category
Cuba
Moldova
Result
Areakm² · Higher wins ↑ · Chosen
110,860
33,851
Would win
Populationpeople · Higher wins ↑
11,019,931
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
Unavailable
17,751
Unavailable
Densityper km² · Higher wins ↑
99.4
72.6
Would win
Highest peakm · Higher wins ↑
1,974
430
Would win
Coastlinekm · Higher wins ↑
3,735
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
20.6° N
47.5° N
Would win
31
Round 31Won41 countries · 3 lives left
North KoreavsGeorgia
Population: 26,418,204 vs 3,715,483 people · Higher wins ↑
Conquered Georgia.
Other category comparisons 5 other winning choices
All eight categories for North Korea against Georgia
Category
North Korea
Georgia
Result
Areakm² · Higher wins ↑
120,538
69,700
Would win
Populationpeople · Higher wins ↑ · Chosen
26,418,204
3,715,483
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
25,093
Unavailable
Densityper km² · Higher wins ↑
219.2
53.3
Would win
Highest peakm · Higher wins ↑
2,744
5,193
Would lose
Coastlinekm · Higher wins ↑
2,495
310
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
42.4° N
Would win
32
Round 32Won42 countries · 3 lives left
BruneivsAustralia
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Australia.
Other category comparisons 3 other winning choices
All eight categories for Brunei against Australia
Category
Brunei
Australia
Result
Areakm² · Higher wins ↑
5,765
7,741,220
Would lose
Populationpeople · Higher wins ↑
458,949
26,659,922
Would lose
Wealth per personint’l $ · Higher wins ↑
85,103
72,273
Would win
Densityper km² · Higher wins ↑
79.6
3.4
Would win
Highest peakm · Higher wins ↑
1,850
2,228
Would lose
Coastlinekm · Higher wins ↑
161
25,760
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
23.1° S
Would win
33
Round 33Won43 countries · 3 lives left
ItalyvsMozambique
Wealth per person: 60,350 vs 1,680 int’l $ · Higher wins ↑
Conquered Mozambique.
Other category comparisons 4 other winning choices
All eight categories for Italy against Mozambique
Category
Italy
Mozambique
Result
Areakm² · Higher wins ↑
301,340
799,380
Would lose
Populationpeople · Higher wins ↑
58,984,216
33,635,160
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,350
1,680
Would win
Densityper km² · Higher wins ↑
195.7
42.1
Would win
Highest peakm · Higher wins ↑
4,748
2,436
Would win
Coastlinekm · Higher wins ↑
7,600
2,470
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
14.0° S
Would lose
34
Round 34Won44 countries · 3 lives left
HungaryvsCroatia
Population: 9,592,186 vs 3,859,686 people · Higher wins ↑
Conquered Croatia.
Other category comparisons 2 other winning choices
All eight categories for Hungary against Croatia
Category
Hungary
Croatia
Result
Areakm² · Higher wins ↑
93,028
56,594
Would win
Populationpeople · Higher wins ↑ · Chosen
9,592,186
3,859,686
Would win
Wealth per personint’l $ · Higher wins ↑
46,376
47,760
Would lose
Densityper km² · Higher wins ↑
103.1
68.2
Would win
Highest peakm · Higher wins ↑
1,014
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 ↓
47.3° N
45.8° N
Would lose
35
Round 35Won45 countries · 3 lives left
MyanmarvsCambodia
Area: 676,578 vs 181,035 km² · Higher wins ↑
Conquered Cambodia.
Other category comparisons 3 other winning choices
All eight categories for Myanmar against Cambodia
Category
Myanmar
Cambodia
Result
Areakm² · Higher wins ↑ · Chosen
676,578
181,035
Would win
Populationpeople · Higher wins ↑
54,133,798
17,423,880
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
7,437
Would lose
Densityper km² · Higher wins ↑
80.0
96.2
Would lose
Highest peakm · Higher wins ↑
5,870
1,810
Would win
Coastlinekm · Higher wins ↑
1,930
443
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
12.6° N
Would lose
36
Round 36Won46 countries · 3 lives left
LaosvsRwanda
Area: 236,800 vs 26,338 km² · Higher wins ↑
Conquered Rwanda.
Other category comparisons 1 other winning choice
All eight categories for Laos against Rwanda
Category
Laos
Rwanda
Result
Areakm² · Higher wins ↑ · Chosen
236,800
26,338
Would win
Populationpeople · Higher wins ↑
7,664,993
13,954,471
Would lose
Wealth per personint’l $ · Higher wins ↑
9,299
3,519
Would win
Densityper km² · Higher wins ↑
32.4
529.8
Would lose
Highest peakm · Higher wins ↑
2,817
4,519
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
19.6° N
1.8° S
Would lose
37
Round 37Won47 countries · 3 lives left
MoroccovsBolivia
Density: 84.5 vs 11.1 per km² · Higher wins ↑
Conquered Bolivia.
Other category comparisons 2 other winning choices
All eight categories for Morocco against Bolivia
Category
Morocco
Bolivia
Result
Areakm² · Higher wins ↑
446,550
1,098,581
Would lose
Populationpeople · Higher wins ↑
37,712,505
12,244,159
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
12,903
Would lose
Densityper km² · Higher wins ↑ · Chosen
84.5
11.1
Would win
Highest peakm · Higher wins ↑
4,165
6,542
Would lose
Coastlinekm · Higher wins ↑
1,835
0
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
16.7° S
Would lose
38
Round 38Won48 countries · 3 lives left
GambiavsCzechia
Proximity to equator: 13.6° N vs 49.8° N from the equator · Closer wins ↓
Conquered Czechia.
Other category comparisons 3 other winning choices
All eight categories for Gambia against Czechia
Category
Gambia
Czechia
Result
Areakm² · Higher wins ↑
11,300
78,867
Would lose
Populationpeople · Higher wins ↑
2,697,845
10,864,042
Would lose
Wealth per personint’l $ · Higher wins ↑
3,292
56,062
Would lose
Densityper km² · Higher wins ↑
238.7
137.8
Would win
Highest peakm · Higher wins ↑
63
1,602
Would lose
Coastlinekm · Higher wins ↑
80
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.6° N
49.8° N
Would win
39
Round 39Won49 countries · 3 lives left
MaltavsArgentina
Wealth per person: 67,101 vs 30,246 int’l $ · Higher wins ↑
Conquered Argentina.
Other category comparisons 1 other winning choice
All eight categories for Malta against Argentina
Category
Malta
Argentina
Result
Areakm² · Higher wins ↑
316
2,780,400
Would lose
Populationpeople · Higher wins ↑
552,747
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
67,101
30,246
Would win
Densityper km² · Higher wins ↑
1,749.2
16.4
Would win
Highest peakm · Higher wins ↑
253
6,962
Would lose
Coastlinekm · Higher wins ↑
196.8
4,989
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
31.4° S
Would lose
40
Round 40Won50 countries · 3 lives left
LithuaniavsCameroon
Wealth per person: 52,720 vs 5,415 int’l $ · Higher wins ↑
Conquered Cameroon.
Other category comparisons 0 other winning choices
All eight categories for Lithuania against Cameroon
Category
Lithuania
Cameroon
Result
Areakm² · Higher wins ↑
65,300
475,440
Would lose
Populationpeople · Higher wins ↑
2,871,585
28,372,687
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
5,415
Would win
Densityper km² · Higher wins ↑
44.0
59.7
Would lose
Highest peakm · Higher wins ↑
294
4,045
Would lose
Coastlinekm · Higher wins ↑
90
402
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓