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Untimed expedition · Data edition 01051846d672
27Wins
1Losses
2Ties
Explore the final empire · 40 countries
No countries match your search.
The path through the world
One choice at a time.
30 rounds
Where it began · 12 countries
Egypt · Singapore · Maldives · Estonia · Equatorial Guinea · Latvia · Slovakia · Norway · Panama · Philippines · Mali · South Korea
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 21Won33 countries · 4 lives left
EritreavsEswatini
Area: 117,600 vs 17,364 km² · Higher wins ↑
Conquered Eswatini.
Other category comparisons 4 other winning choices
All eight categories for Eritrea against Eswatini
Category
Eritrea
Eswatini
Result
Areakm² · Higher wins ↑ · Chosen
117,600
17,364
Would win
Populationpeople · Higher wins ↑
3,470,390
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
11,309
Unavailable
Densityper km² · Higher wins ↑
29.5
70.9
Would lose
Highest peakm · Higher wins ↑
3,018
1,862
Would win
Coastlinekm · Higher wins ↑
2,234
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
16.0° N
26.6° S
Would win
22
Round 22Won34 countries · 4 lives left
GermanyvsMalaysia
Population: 83,287,273 vs 35,126,298 people · Higher wins ↑
Conquered Malaysia.
Other category comparisons 3 other winning choices
All eight categories for Germany against Malaysia
Category
Germany
Malaysia
Result
Areakm² · Higher wins ↑
357,022
329,847
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
35,126,298
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
36,497
Would win
Densityper km² · Higher wins ↑
233.3
106.5
Would win
Highest peakm · Higher wins ↑
2,963
4,095
Would lose
Coastlinekm · Higher wins ↑
2,389
4,675
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
4.4° N
Would lose
23
Round 23Won35 countries · 4 lives left
LatviavsPeru
Wealth per person: 42,784 vs 17,042 int’l $ · Higher wins ↑
Conquered Peru.
Other category comparisons 1 other winning choice
All eight categories for Latvia against Peru
Category
Latvia
Peru
Result
Areakm² · Higher wins ↑
64,589
1,285,216
Would lose
Populationpeople · Higher wins ↑
1,883,710
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,784
17,042
Would win
Densityper km² · Higher wins ↑
29.2
26.3
Would win
Highest peakm · Higher wins ↑
312
6,746
Would lose
Coastlinekm · Higher wins ↑
498
2,414
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
13.0° S
Would lose
24
Round 24Won36 countries · 4 lives left
EthiopiavsNamibia
Population: 128,691,692 vs 2,963,095 people · Higher wins ↑
Conquered Namibia.
Other category comparisons 4 other winning choices
All eight categories for Ethiopia against Namibia
Category
Ethiopia
Namibia
Result
Areakm² · Higher wins ↑
1,104,300
824,292
Would win
Populationpeople · Higher wins ↑ · Chosen
128,691,692
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
3,063
11,248
Would lose
Densityper km² · Higher wins ↑
116.5
3.6
Would win
Highest peakm · Higher wins ↑
4,550
2,573
Would win
Coastlinekm · Higher wins ↑
0
1,572
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.5° N
20.6° S
Would win
25
Round 25Tied36 countries · 4 lives left
SlovakiavsYemen
Flag colours: 3 vs 3 colours · Higher wins ↑
Yemen became contested.
Other category comparisons 1 other winning choice
All eight categories for Slovakia against Yemen
Category
Slovakia
Yemen
Result
Areakm² · Higher wins ↑
49,035
527,968
Would lose
Populationpeople · Higher wins ↑
5,426,740
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
45,865
Unavailable
Unavailable
Densityper km² · Higher wins ↑
110.7
74.6
Would win
Highest peakm · Higher wins ↑
2,655
3,666
Would lose
Coastlinekm · Higher wins ↑
0
1,906
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
48.7° N
15.3° N
Would lose
26
Round 26Won38 countries · 4 lives left
AlbaniavsAustria
Proximity to equator: 40.7° N vs 47.7° N from the equator · Closer wins ↓
Conquered Austria, Yemen.
Other category comparisons 1 other winning choice
All eight categories for Albania against Austria
Category
Albania
Austria
Result
Areakm² · Higher wins ↑
28,748
83,871
Would lose
Populationpeople · Higher wins ↑
2,411,658
9,131,761
Would lose
Wealth per personint’l $ · Higher wins ↑
24,848
74,261
Would lose
Densityper km² · Higher wins ↑
83.9
108.9
Would lose
Highest peakm · Higher wins ↑
2,764
3,798
Would lose
Coastlinekm · Higher wins ↑
362
0
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
40.7° N
47.7° N
Would win
27
Round 27Won39 countries · 4 lives left
NorwayvsNepal
Wealth per person: 107,768 vs 5,400 int’l $ · Higher wins ↑
Conquered Nepal.
Other category comparisons 2 other winning choices
All eight categories for Norway against Nepal
Category
Norway
Nepal
Result
Areakm² · Higher wins ↑
323,802
147,181
Would win
Populationpeople · Higher wins ↑
5,519,601
29,694,614
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
107,768
5,400
Would win
Densityper km² · Higher wins ↑
17.0
201.8
Would lose
Highest peakm · Higher wins ↑
2,469
8,849
Would lose
Coastlinekm · Higher wins ↑
25,148
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
61.5° N
29.0° N
Would lose
28
Round 28Won40 countries · 4 lives left
MoldovavsSomalia
Wealth per person: 17,751 vs 1,557 int’l $ · Higher wins ↑
Conquered Somalia.
Other category comparisons 2 other winning choices
All eight categories for Moldova against Somalia
Category
Moldova
Somalia
Result
Areakm² · Higher wins ↑
33,851
637,657
Would lose
Populationpeople · Higher wins ↑
2,457,783
18,358,615
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,751
1,557
Would win
Densityper km² · Higher wins ↑
72.6
28.8
Would win
Highest peakm · Higher wins ↑
430
2,460
Would lose
Coastlinekm · Higher wins ↑
0
3,025
Would lose
Flag colourscolours · Higher wins ↑
9
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
2.6° N
Would lose
29
Round 29Won41 countries · 4 lives left
PanamavsTajikistan
Coastline: 2,490 vs 0 km · Higher wins ↑
Conquered Tajikistan.
Other category comparisons 2 other winning choices
All eight categories for Panama against Tajikistan
Category
Panama
Tajikistan
Result
Areakm² · Higher wins ↑
75,420
144,100
Would lose
Populationpeople · Higher wins ↑
4,458,759
10,389,799
Would lose
Wealth per personint’l $ · Higher wins ↑
39,846
4,968
Would win
Densityper km² · Higher wins ↑
59.1
72.1
Would lose
Highest peakm · Higher wins ↑
3,475
7,495
Would lose
Coastlinekm · Higher wins ↑ · Chosen
2,490
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.4° N
38.3° N
Would win
30
Round 30Lost40 countries · 3 lives left
BelizevsComoros
Population: 411,106 vs 850,387 people · Higher wins ↑
Returned to the world: Belize.
Other category comparisons 4 other winning choices
All eight categories for Belize against Comoros
Category
Belize
Comoros
Result
Areakm² · Higher wins ↑
22,966
2,235
Would win
Populationpeople · Higher wins ↑ · Chosen
411,106
850,387
Would lose
Wealth per personint’l $ · Higher wins ↑
13,741
3,897
Would win
Densityper km² · Higher wins ↑
17.9
380.5
Would lose
Highest peakm · Higher wins ↑
1,124
2,360
Would lose
Coastlinekm · Higher wins ↑
386
340
Would win
Flag colourscolours · Higher wins ↑
12
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓