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Untimed expedition · Data edition 01051846d672
72Wins
4Losses
2Ties
Explore the final empire · 82 countries
No countries match your search.
The path through the world
One choice at a time.
78 rounds
Where it began · 12 countries
Philippines · Japan · Belarus · Canada · Togo · Mauritius · Djibouti · Finland · Mali · Croatia · Peru · Lithuania
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 41Won51 countries · 3 lives left
SerbiavsZambia
Wealth per person: 29,777 vs 4,080 int’l $ · Higher wins ↑
Conquered Zambia.
Other category comparisons 2 other winning choices
All eight categories for Serbia against Zambia
Category
Serbia
Zambia
Result
Areakm² · Higher wins ↑
77,474
752,618
Would lose
Populationpeople · Higher wins ↑
6,623,183
20,723,965
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
29,777
4,080
Would win
Densityper km² · Higher wins ↑
85.5
27.5
Would win
Highest peakm · Higher wins ↑
2,169
2,330
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
44.2° N
14.7° S
Would lose
42
Round 42Won52 countries · 3 lives left
BelizevsSingapore
Area: 22,966 vs 719 km² · Higher wins ↑
Conquered Singapore.
Other category comparisons 3 other winning choices
All eight categories for Belize against Singapore
Category
Belize
Singapore
Result
Areakm² · Higher wins ↑ · Chosen
22,966
719
Would win
Populationpeople · Higher wins ↑
411,106
5,917,648
Would lose
Wealth per personint’l $ · Higher wins ↑
13,741
144,728
Would lose
Densityper km² · Higher wins ↑
17.9
8,230.4
Would lose
Highest peakm · Higher wins ↑
1,124
166
Would win
Coastlinekm · Higher wins ↑
386
193
Would win
Flag colourscolours · Higher wins ↑
12
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
1.4° N
Would lose
43
Round 43Tied52 countries · 3 lives left
BelarusvsRomania
Flag colours: 3 vs 3 colours · Higher wins ↑
Romania became contested.
Other category comparisons 0 other winning choices
All eight categories for Belarus against Romania
Category
Belarus
Romania
Result
Areakm² · Higher wins ↑
207,600
238,391
Would lose
Populationpeople · Higher wins ↑
9,178,298
19,061,062
Would lose
Wealth per personint’l $ · Higher wins ↑
30,860
45,982
Would lose
Densityper km² · Higher wins ↑
44.2
80.0
Would lose
Highest peakm · Higher wins ↑
346
2,544
Would lose
Coastlinekm · Higher wins ↑
0
225
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
45.7° N
Would lose
44
Round 44Won54 countries · 3 lives left
GuineavsGuinea-Bissau
Area: 245,857 vs 36,125 km² · Higher wins ↑
Conquered Guinea-Bissau, Romania.
Other category comparisons 4 other winning choices
All eight categories for Guinea against Guinea-Bissau
Category
Guinea
Guinea-Bissau
Result
Areakm² · Higher wins ↑ · Chosen
245,857
36,125
Would win
Populationpeople · Higher wins ↑
14,405,468
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
4,337
2,956
Would win
Densityper km² · Higher wins ↑
58.6
59.6
Would lose
Highest peakm · Higher wins ↑
1,752
277
Would win
Coastlinekm · Higher wins ↑
320
350
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.7° N
12.1° N
Would win
45
Round 45Won55 countries · 3 lives left
BangladeshvsLiberia
Population: 171,466,990 vs 5,493,031 people · Higher wins ↑
Conquered Liberia.
Other category comparisons 4 other winning choices
All eight categories for Bangladesh against Liberia
Category
Bangladesh
Liberia
Result
Areakm² · Higher wins ↑
148,460
111,369
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
5,493,031
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
1,796
Would win
Densityper km² · Higher wins ↑
1,155.0
49.3
Would win
Highest peakm · Higher wins ↑
1,060
1,447
Would lose
Coastlinekm · Higher wins ↑
580
579
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
7.0° N
Would lose
46
Round 46Won56 countries · 3 lives left
VanuatuvsChad
Coastline: 2,528 vs 0 km · Higher wins ↑
Conquered Chad.
Other category comparisons 4 other winning choices
All eight categories for Vanuatu against Chad
Category
Vanuatu
Chad
Result
Areakm² · Higher wins ↑
12,189
1,284,000
Would lose
Populationpeople · Higher wins ↑
320,409
19,319,064
Would lose
Wealth per personint’l $ · Higher wins ↑
4,202
2,703
Would win
Densityper km² · Higher wins ↑
26.3
15.0
Would win
Highest peakm · Higher wins ↑
1,877
3,445
Would lose
Coastlinekm · Higher wins ↑ · Chosen
2,528
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.4° S
17.3° N
Would win
47
Round 47Won57 countries · 3 lives left
CanadavsPoland
Area: 9,984,670 vs 312,685 km² · Higher wins ↑
Conquered Poland.
Other category comparisons 4 other winning choices
All eight categories for Canada against Poland
Category
Canada
Poland
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
312,685
Would win
Populationpeople · Higher wins ↑
40,049,088
36,687,353
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
48,473
Would win
Densityper km² · Higher wins ↑
4.0
117.3
Would lose
Highest peakm · Higher wins ↑
5,959
2,499
Would win
Coastlinekm · Higher wins ↑
202,080
440
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
51.9° N
Would lose
48
Round 48Won58 countries · 3 lives left
KyrgyzstanvsSri Lanka
Highest peak: 7,439 vs 2,524 m · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 1 other winning choice
All eight categories for Kyrgyzstan against Sri Lanka
Category
Kyrgyzstan
Sri Lanka
Result
Areakm² · Higher wins ↑
199,951
65,610
Would win
Populationpeople · Higher wins ↑
7,099,750
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑
7,304
14,512
Would lose
Densityper km² · Higher wins ↑
35.5
335.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,439
2,524
Would win
Coastlinekm · Higher wins ↑
0
1,340
Would lose
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.7° N
7.1° N
Would lose
49
Round 49Won59 countries · 3 lives left
TanzaniavsUkraine
Highest peak: 5,895 vs 2,061 m · Higher wins ↑
Conquered Ukraine.
Other category comparisons 5 other winning choices
All eight categories for Tanzania against Ukraine
Category
Tanzania
Ukraine
Result
Areakm² · Higher wins ↑
947,300
603,550
Would win
Populationpeople · Higher wins ↑
66,617,606
37,732,836
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
17,680
Would lose
Densityper km² · Higher wins ↑
70.3
62.5
Would win
Highest peakm · Higher wins ↑ · Chosen
5,895
2,061
Would win
Coastlinekm · Higher wins ↑
1,424
2,782
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
49.6° N
Would win
50
Round 50Won60 countries · 3 lives left
RwandavsKuwait
Highest peak: 4,519 vs 300 m · Higher wins ↑
Conquered Kuwait.
Other category comparisons 4 other winning choices
All eight categories for Rwanda against Kuwait
Category
Rwanda
Kuwait
Result
Areakm² · Higher wins ↑
26,338
17,818
Would win
Populationpeople · Higher wins ↑
13,954,471
4,853,420
Would win
Wealth per personint’l $ · Higher wins ↑
3,519
53,083
Would lose
Densityper km² · Higher wins ↑
529.8
272.4
Would win
Highest peakm · Higher wins ↑ · Chosen
4,519
300
Would win
Coastlinekm · Higher wins ↑
0
499
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.8° S
29.4° N
Would win
51
Round 51Won61 countries · 3 lives left
TogovsSudan
Density: 144.8 vs 26.9 per km² · Higher wins ↑
Conquered Sudan.
Other category comparisons 2 other winning choices
All eight categories for Togo against Sudan
Category
Togo
Sudan
Result
Areakm² · Higher wins ↑
56,785
1,861,484
Would lose
Populationpeople · Higher wins ↑
8,223,850
50,042,791
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
2,423
Would win
Densityper km² · Higher wins ↑ · Chosen
144.8
26.9
Would win
Highest peakm · Higher wins ↑
986
3,042
Would lose
Coastlinekm · Higher wins ↑
56
853
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.9° N
16.6° N
Would win
52
Round 52Won62 countries · 3 lives left
AustraliavsRussia
Wealth per person: 72,273 vs 44,299 int’l $ · Higher wins ↑
Conquered Russia.
Other category comparisons 1 other winning choice
All eight categories for Australia against Russia
Category
Australia
Russia
Result
Areakm² · Higher wins ↑
7,741,220
17,098,242
Would lose
Populationpeople · Higher wins ↑
26,659,922
143,826,130
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,273
44,299
Would win
Densityper km² · Higher wins ↑
3.4
8.4
Would lose
Highest peakm · Higher wins ↑
2,228
5,642
Would lose
Coastlinekm · Higher wins ↑
25,760
37,653
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
63.6° N
Would win
53
Round 53Won63 countries · 3 lives left
HondurasvsSpain
Proximity to equator: 14.7° N vs 40.0° N from the equator · Closer wins ↓
Conquered Spain.
Other category comparisons 0 other winning choices
All eight categories for Honduras against Spain
Category
Honduras
Spain
Result
Areakm² · Higher wins ↑
112,090
505,370
Would lose
Populationpeople · Higher wins ↑
10,644,851
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑
7,184
55,661
Would lose
Densityper km² · Higher wins ↑
95.0
95.7
Would lose
Highest peakm · Higher wins ↑
2,870
3,718
Would lose
Coastlinekm · Higher wins ↑
823
4,964
Would lose
Flag colourscolours · Higher wins ↑
2
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.7° N
40.0° N
Would win
54
Round 54Won64 countries · 3 lives left
Central African RepublicvsUzbekistan
Proximity to equator: 7.0° N vs 41.5° N from the equator · Closer wins ↓
Conquered Uzbekistan.
Other category comparisons 2 other winning choices
All eight categories for Central African Republic against Uzbekistan
Category
Central African Republic
Uzbekistan
Result
Areakm² · Higher wins ↑
622,984
447,400
Would win
Populationpeople · Higher wins ↑
5,152,421
35,652,307
Would lose
Wealth per personint’l $ · Higher wins ↑
1,258
11,679
Would lose
Densityper km² · Higher wins ↑
8.3
79.7
Would lose
Highest peakm · Higher wins ↑
1,410
4,643
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
41.5° N
Would win
55
Round 55Won65 countries · 3 lives left
MauritiusvsIndia
Proximity to equator: 20.3° S vs 22.4° N from the equator · Closer wins ↓
Conquered India.
Other category comparisons 2 other winning choices
All eight categories for Mauritius against India
Category
Mauritius
India
Result
Areakm² · Higher wins ↑
2,040
3,287,263
Would lose
Populationpeople · Higher wins ↑
1,248,647
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑
29,403
9,853
Would win
Densityper km² · Higher wins ↑
612.1
437.5
Would win
Highest peakm · Higher wins ↑
828
8,586
Would lose
Coastlinekm · Higher wins ↑
177
7,000
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
20.3° S
22.4° N
Would win
56
Round 56Lost64 countries · 2 lives left
OmanvsYemen
Density: 16.3 vs 74.6 per km² · Higher wins ↑
Returned to the world: Oman.
Other category comparisons 1 other winning choice
All eight categories for Oman against Yemen
Category
Oman
Yemen
Result
Areakm² · Higher wins ↑
309,500
527,968
Would lose
Populationpeople · Higher wins ↑
5,049,269
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
41,980
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
16.3
74.6
Would lose
Highest peakm · Higher wins ↑
3,004
3,666
Would lose
Coastlinekm · Higher wins ↑
2,092
1,906
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
15.3° N
Would lose
57
Round 57Won65 countries · 2 lives left
SloveniavsLibya
Wealth per person: 56,151 vs 13,858 int’l $ · Higher wins ↑
Conquered Libya.
Other category comparisons 2 other winning choices
All eight categories for Slovenia against Libya
Category
Slovenia
Libya
Result
Areakm² · Higher wins ↑
20,273
1,759,540
Would lose
Populationpeople · Higher wins ↑
2,120,461
7,305,659
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,151
13,858
Would win
Densityper km² · Higher wins ↑
104.6
4.2
Would win
Highest peakm · Higher wins ↑
2,864
2,267
Would win
Coastlinekm · Higher wins ↑
46.6
1,770
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
26.1° N
Would lose
58
Round 58Won66 countries · 2 lives left
UgandavsAustria
Area: 241,038 vs 83,871 km² · Higher wins ↑
Conquered Austria.
Other category comparisons 5 other winning choices
All eight categories for Uganda against Austria
Category
Uganda
Austria
Result
Areakm² · Higher wins ↑ · Chosen
241,038
83,871
Would win
Populationpeople · Higher wins ↑
48,656,601
9,131,761
Would win
Wealth per personint’l $ · Higher wins ↑
3,100
74,261
Would lose
Densityper km² · Higher wins ↑
201.9
108.9
Would win
Highest peakm · Higher wins ↑
5,110
3,798
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.0° N
47.7° N
Would win
59
Round 59Won67 countries · 2 lives left
FinlandvsGabon
Wealth per person: 63,467 vs 20,773 int’l $ · Higher wins ↑
Conquered Gabon.
Other category comparisons 5 other winning choices
All eight categories for Finland against Gabon
Category
Finland
Gabon
Result
Areakm² · Higher wins ↑
338,145
267,667
Would win
Populationpeople · Higher wins ↑
5,583,911
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
63,467
20,773
Would win
Densityper km² · Higher wins ↑
16.5
9.3
Would win
Highest peakm · Higher wins ↑
1,328
1,050
Would win
Coastlinekm · Higher wins ↑
1,250
885
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
0.6° S
Would lose
60
Round 60Won68 countries · 2 lives left
IndonesiavsMalaysia
Population: 281,190,067 vs 35,126,298 people · Higher wins ↑
Conquered Malaysia.
Other category comparisons 5 other winning choices
All eight categories for Indonesia against Malaysia
Category
Indonesia
Malaysia
Result
Areakm² · Higher wins ↑
1,904,569
329,847
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
35,126,298
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
36,497
Would lose
Densityper km² · Higher wins ↑
147.6
106.5
Would win
Highest peakm · Higher wins ↑
4,884
4,095
Would win
Coastlinekm · Higher wins ↑
54,716
4,675
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓