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Untimed expedition · Data edition 01051846d672
40Wins
3Losses
0Ties
Explore the final empire · 49 countries
No countries match your search.
The path through the world
One choice at a time.
43 rounds
Where it began · 12 countries
Myanmar · Malaysia · Palestine · Armenia · Moldova · Vietnam · Ukraine · Trinidad and Tobago · Guatemala · Fiji · Kazakhstan · South Sudan
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
MyanmarvsSwitzerland
Population: 54,133,798 vs 8,888,822 people · Higher wins ↑
Conquered Switzerland.
Other category comparisons 5 other winning choices
All eight categories for Myanmar against Switzerland
Category
Myanmar
Switzerland
Result
Areakm² · Higher wins ↑
676,578
41,277
Would win
Populationpeople · Higher wins ↑ · Chosen
54,133,798
8,888,822
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
93,940
Would lose
Densityper km² · Higher wins ↑
80.0
215.3
Would lose
Highest peakm · Higher wins ↑
5,870
4,634
Would win
Coastlinekm · Higher wins ↑
1,930
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
46.7° N
Would win
2
Round 2Won14 countries · 4 lives left
MalaysiavsLatvia
Population: 35,126,298 vs 1,883,710 people · Higher wins ↑
Conquered Latvia.
Other category comparisons 6 other winning choices
All eight categories for Malaysia against Latvia
Category
Malaysia
Latvia
Result
Areakm² · Higher wins ↑
329,847
64,589
Would win
Populationpeople · Higher wins ↑ · Chosen
35,126,298
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
42,784
Would lose
Densityper km² · Higher wins ↑
106.5
29.2
Would win
Highest peakm · Higher wins ↑
4,095
312
Would win
Coastlinekm · Higher wins ↑
4,675
498
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
56.6° N
Would win
3
Round 3Won15 countries · 4 lives left
PalestinevsSlovenia
Density: 830.5 vs 104.6 per km² · Higher wins ↑
Conquered Slovenia.
Other category comparisons 2 other winning choices
All eight categories for Palestine against Slovenia
Category
Palestine
Slovenia
Result
Areakm² · Higher wins ↑
6,220
20,273
Would lose
Populationpeople · Higher wins ↑
5,165,775
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
6,179
56,151
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
104.6
Would win
Highest peakm · Higher wins ↑
1,020
2,864
Would lose
Coastlinekm · Higher wins ↑
40
46.6
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
46.0° N
Would win
4
Round 4Won16 countries · 4 lives left
ArmeniavsZimbabwe
Highest peak: 4,090 vs 2,592 m · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 2 other winning choices
All eight categories for Armenia against Zimbabwe
Category
Armenia
Zimbabwe
Result
Areakm² · Higher wins ↑
29,743
390,757
Would lose
Populationpeople · Higher wins ↑
2,964,300
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑
21,552
5,796
Would win
Densityper km² · Higher wins ↑
99.7
41.8
Would win
Highest peakm · Higher wins ↑ · Chosen
4,090
2,592
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
40.6° N
19.0° S
Would lose
5
Round 5Won17 countries · 4 lives left
MoldovavsJapan
Flag colours: 9 vs 2 colours · Higher wins ↑
Conquered Japan.
Other category comparisons 0 other winning choices
All eight categories for Moldova against Japan
Category
Moldova
Japan
Result
Areakm² · Higher wins ↑
33,851
377,915
Would lose
Populationpeople · Higher wins ↑
2,457,783
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑
17,751
52,726
Would lose
Densityper km² · Higher wins ↑
72.6
329.5
Would lose
Highest peakm · Higher wins ↑
430
3,776
Would lose
Coastlinekm · Higher wins ↑
0
29,751
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
9
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
36.7° N
Would lose
6
Round 6Won18 countries · 4 lives left
VietnamvsMauritania
Population: 100,352,192 vs 5,022,441 people · Higher wins ↑
Conquered Mauritania.
Other category comparisons 4 other winning choices
All eight categories for Vietnam against Mauritania
Category
Vietnam
Mauritania
Result
Areakm² · Higher wins ↑
331,210
1,030,700
Would lose
Populationpeople · Higher wins ↑ · Chosen
100,352,192
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
6,972
Would win
Densityper km² · Higher wins ↑
303.0
4.9
Would win
Highest peakm · Higher wins ↑
3,144
915
Would win
Coastlinekm · Higher wins ↑
3,444
754
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
19.4° N
Would lose
7
Round 7Won19 countries · 4 lives left
UkrainevsUnited Kingdom
Area: 603,550 vs 243,610 km² · Higher wins ↑
Conquered United Kingdom.
Other category comparisons 2 other winning choices
All eight categories for Ukraine against United Kingdom
Category
Ukraine
United Kingdom
Result
Areakm² · Higher wins ↑ · Chosen
603,550
243,610
Would win
Populationpeople · Higher wins ↑
37,732,836
68,526,000
Would lose
Wealth per personint’l $ · Higher wins ↑
17,680
60,787
Would lose
Densityper km² · Higher wins ↑
62.5
281.3
Would lose
Highest peakm · Higher wins ↑
2,061
1,345
Would win
Coastlinekm · Higher wins ↑
2,782
12,429
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
52.5° N
Would win
8
Round 8Won20 countries · 4 lives left
Trinidad and TobagovsAzerbaijan
Density: 266.7 vs 117.3 per km² · Higher wins ↑
Conquered Azerbaijan.
Other category comparisons 3 other winning choices
All eight categories for Trinidad and Tobago against Azerbaijan
Category
Trinidad and Tobago
Azerbaijan
Result
Areakm² · Higher wins ↑
5,128
86,600
Would lose
Populationpeople · Higher wins ↑
1,367,510
10,153,958
Would lose
Wealth per personint’l $ · Higher wins ↑
34,652
23,671
Would win
Densityper km² · Higher wins ↑ · Chosen
266.7
117.3
Would win
Highest peakm · Higher wins ↑
940
4,466
Would lose
Coastlinekm · Higher wins ↑
362
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.3° N
40.5° N
Would win
9
Round 9Won21 countries · 4 lives left
GuatemalavsUruguay
Population: 18,124,838 vs 3,388,081 people · Higher wins ↑
Conquered Uruguay.
Other category comparisons 4 other winning choices
All eight categories for Guatemala against Uruguay
Category
Guatemala
Uruguay
Result
Areakm² · Higher wins ↑
108,889
176,215
Would lose
Populationpeople · Higher wins ↑ · Chosen
18,124,838
3,388,081
Would win
Wealth per personint’l $ · Higher wins ↑
13,752
34,546
Would lose
Densityper km² · Higher wins ↑
166.5
19.2
Would win
Highest peakm · Higher wins ↑
4,220
514
Would win
Coastlinekm · Higher wins ↑
400
660
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
32.9° S
Would win
10
Round 10Won22 countries · 4 lives left
FijivsCameroon
Coastline: 1,129 vs 402 km · Higher wins ↑
Conquered Cameroon.
Other category comparisons 2 other winning choices
All eight categories for Fiji against Cameroon
Category
Fiji
Cameroon
Result
Areakm² · Higher wins ↑
18,274
475,440
Would lose
Populationpeople · Higher wins ↑
924,145
28,372,687
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
5,415
Would win
Densityper km² · Higher wins ↑
50.6
59.7
Would lose
Highest peakm · Higher wins ↑
1,324
4,045
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,129
402
Would win
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.8° S
4.5° N
Would lose
11
Round 11Won23 countries · 4 lives left
KazakhstanvsGreece
Highest peak: 7,010 vs 2,917 m · Higher wins ↑
Conquered Greece.
Other category comparisons 2 other winning choices
All eight categories for Kazakhstan against Greece
Category
Kazakhstan
Greece
Result
Areakm² · Higher wins ↑
2,724,900
131,957
Would win
Populationpeople · Higher wins ↑
20,330,104
10,407,351
Would win
Wealth per personint’l $ · Higher wins ↑
38,547
42,614
Would lose
Densityper km² · Higher wins ↑
7.5
78.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,010
2,917
Would win
Coastlinekm · Higher wins ↑
0
13,676
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
48.5° N
39.8° N
Would lose
12
Round 12Won24 countries · 4 lives left
South SudanvsSuriname
Population: 11,483,374 vs 628,886 people · Higher wins ↑
Conquered Suriname.
Other category comparisons 4 other winning choices
All eight categories for South Sudan against Suriname
Category
South Sudan
Suriname
Result
Areakm² · Higher wins ↑
644,329
163,820
Would win
Populationpeople · Higher wins ↑ · Chosen
11,483,374
628,886
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
21,128
Unavailable
Densityper km² · Higher wins ↑
17.8
3.8
Would win
Highest peakm · Higher wins ↑
3,187
1,230
Would win
Coastlinekm · Higher wins ↑
0
386
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
4.1° N
Would lose
13
Round 13Won25 countries · 4 lives left
MyanmarvsAndorra
Population: 54,133,798 vs 80,856 people · Higher wins ↑
Conquered Andorra.
Other category comparisons 4 other winning choices
All eight categories for Myanmar against Andorra
Category
Myanmar
Andorra
Result
Areakm² · Higher wins ↑
676,578
468
Would win
Populationpeople · Higher wins ↑ · Chosen
54,133,798
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
71,790
Would lose
Densityper km² · Higher wins ↑
80.0
172.8
Would lose
Highest peakm · Higher wins ↑
5,870
2,946
Would win
Coastlinekm · Higher wins ↑
1,930
0
Would win
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
42.5° N
Would win
14
Round 14Won26 countries · 4 lives left
SwitzerlandvsRepublic of the Congo
Wealth per person: 93,940 vs 6,856 int’l $ · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 3 other winning choices
All eight categories for Switzerland against Republic of the Congo
Category
Switzerland
Republic of the Congo
Result
Areakm² · Higher wins ↑
41,277
342,000
Would lose
Populationpeople · Higher wins ↑
8,888,822
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
6,856
Would win
Densityper km² · Higher wins ↑
215.3
18.1
Would win
Highest peakm · Higher wins ↑
4,634
1,020
Would win
Coastlinekm · Higher wins ↑
0
169
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
0.1° N
Would lose
15
Round 15Won27 countries · 4 lives left
MalaysiavsArgentina
Proximity to equator: 4.4° N vs 31.4° S from the equator · Closer wins ↓
Conquered Argentina.
Other category comparisons 2 other winning choices
All eight categories for Malaysia against Argentina
Category
Malaysia
Argentina
Result
Areakm² · Higher wins ↑
329,847
2,780,400
Would lose
Populationpeople · Higher wins ↑
35,126,298
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑
36,497
30,246
Would win
Densityper km² · Higher wins ↑
106.5
16.4
Would win
Highest peakm · Higher wins ↑
4,095
6,962
Would lose
Coastlinekm · Higher wins ↑
4,675
4,989
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.4° N
31.4° S
Would win
16
Round 16Won28 countries · 4 lives left
LatviavsChad
Density: 29.2 vs 15.0 per km² · Higher wins ↑
Conquered Chad.
Other category comparisons 2 other winning choices
All eight categories for Latvia against Chad
Category
Latvia
Chad
Result
Areakm² · Higher wins ↑
64,589
1,284,000
Would lose
Populationpeople · Higher wins ↑
1,883,710
19,319,064
Would lose
Wealth per personint’l $ · Higher wins ↑
42,784
2,703
Would win
Densityper km² · Higher wins ↑ · Chosen
29.2
15.0
Would win
Highest peakm · Higher wins ↑
312
3,445
Would lose
Coastlinekm · Higher wins ↑
498
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
17.3° N
Would lose
17
Round 17Won29 countries · 4 lives left
PalestinevsCuba
Density: 830.5 vs 99.4 per km² · Higher wins ↑
Conquered Cuba.
Other category comparisons 1 other winning choice
All eight categories for Palestine against Cuba
Category
Palestine
Cuba
Result
Areakm² · Higher wins ↑
6,220
110,860
Would lose
Populationpeople · Higher wins ↑
5,165,775
11,019,931
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
6,179
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
830.5
99.4
Would win
Highest peakm · Higher wins ↑
1,020
1,974
Would lose
Coastlinekm · Higher wins ↑
40
3,735
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
20.6° N
Would lose
18
Round 18Won30 countries · 4 lives left
SloveniavsBelgium
Proximity to equator: 46.0° N vs 50.8° N from the equator · Closer wins ↓
Conquered Belgium.
Other category comparisons 2 other winning choices
All eight categories for Slovenia against Belgium
Category
Slovenia
Belgium
Result
Areakm² · Higher wins ↑
20,273
30,528
Would lose
Populationpeople · Higher wins ↑
2,120,461
11,779,946
Would lose
Wealth per personint’l $ · Higher wins ↑
56,151
72,630
Would lose
Densityper km² · Higher wins ↑
104.6
385.9
Would lose
Highest peakm · Higher wins ↑
2,864
694
Would win
Coastlinekm · Higher wins ↑
46.6
66.5
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
46.0° N
50.8° N
Would win
19
Round 19Won31 countries · 4 lives left
ArmeniavsAfghanistan
Density: 99.7 vs 63.6 per km² · Higher wins ↑
Conquered Afghanistan.
Other category comparisons 1 other winning choice
All eight categories for Armenia against Afghanistan
Category
Armenia
Afghanistan
Result
Areakm² · Higher wins ↑
29,743
652,230
Would lose
Populationpeople · Higher wins ↑
2,964,300
41,454,761
Would lose
Wealth per personint’l $ · Higher wins ↑
21,552
2,204
Would win
Densityper km² · Higher wins ↑ · Chosen
99.7
63.6
Would win
Highest peakm · Higher wins ↑
4,090
7,492
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
40.6° N
34.3° N
Would lose
20
Round 20Won32 countries · 4 lives left
ZimbabwevsSweden
Proximity to equator: 19.0° S vs 65.8° N from the equator · Closer wins ↓
Conquered Sweden.
Other category comparisons 4 other winning choices
All eight categories for Zimbabwe against Sweden
Category
Zimbabwe
Sweden
Result
Areakm² · Higher wins ↑
390,757
450,295
Would lose
Populationpeople · Higher wins ↑
16,340,822
10,536,632
Would win
Wealth per personint’l $ · Higher wins ↑
5,796
68,458
Would lose
Densityper km² · Higher wins ↑
41.8
23.4
Would win
Highest peakm · Higher wins ↑
2,592
2,100
Would win
Coastlinekm · Higher wins ↑
0
3,218
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Myanmarvs
Switzerland
Malaysia
Latvia
Palestine
Slovenia
Armenia
Zimbabwe
Moldova
Japan
Vietnam
Mauritania
Ukraine
United Kingdom
Trinidad and Tobago
Azerbaijan
Guatemala
Uruguay
Fiji
Cameroon
Kazakhstan
Greece
South Sudan
Suriname
Andorra
Republic of the Congo
Argentina
Chad
Cuba
Belgium
Afghanistan
Sweden