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Untimed expedition · Data edition 01051846d672
29Wins
1Losses
0Ties
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
Lebanon · South Africa · Germany · Mauritania · Lesotho · Honduras · Zimbabwe · Syria · Timor-Leste · Mali · Cuba · Montenegro
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
LesothovsTurkmenistan
Proximity to equator: 29.4° S vs 39.9° N from the equator · Closer wins ↓
Conquered Turkmenistan.
Other category comparisons 2 other winning choices
All eight categories for Lesotho against Turkmenistan
Category
Lesotho
Turkmenistan
Result
Areakm² · Higher wins ↑
30,355
488,100
Would lose
Populationpeople · Higher wins ↑
2,311,472
7,364,438
Would lose
Wealth per personint’l $ · Higher wins ↑
2,880
19,645
Would lose
Densityper km² · Higher wins ↑
76.1
15.1
Would win
Highest peakm · Higher wins ↑
3,482
3,139
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
29.4° S
39.9° N
Would win
22
Round 22Won34 countries · 4 lives left
SingaporevsRomania
Density: 8,230.4 vs 80.0 per km² · Higher wins ↑
Conquered Romania.
Other category comparisons 2 other winning choices
All eight categories for Singapore against Romania
Category
Singapore
Romania
Result
Areakm² · Higher wins ↑
719
238,391
Would lose
Populationpeople · Higher wins ↑
5,917,648
19,061,062
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
45,982
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
80.0
Would win
Highest peakm · Higher wins ↑
166
2,544
Would lose
Coastlinekm · Higher wins ↑
193
225
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
45.7° N
Would win
23
Round 23Won35 countries · 4 lives left
HondurasvsArgentina
Density: 95.0 vs 16.4 per km² · Higher wins ↑
Conquered Argentina.
Other category comparisons 1 other winning choice
All eight categories for Honduras against Argentina
Category
Honduras
Argentina
Result
Areakm² · Higher wins ↑
112,090
2,780,400
Would lose
Populationpeople · Higher wins ↑
10,644,851
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑
7,184
30,246
Would lose
Densityper km² · Higher wins ↑ · Chosen
95.0
16.4
Would win
Highest peakm · Higher wins ↑
2,870
6,962
Would lose
Coastlinekm · Higher wins ↑
823
4,989
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
14.7° N
31.4° S
Would win
24
Round 24Won36 countries · 4 lives left
GreecevsEquatorial Guinea
Coastline: 13,676 vs 296 km · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 4 other winning choices
All eight categories for Greece against Equatorial Guinea
Category
Greece
Equatorial Guinea
Result
Areakm² · Higher wins ↑
131,957
28,051
Would win
Populationpeople · Higher wins ↑
10,407,351
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑
42,614
16,997
Would win
Densityper km² · Higher wins ↑
78.9
65.9
Would win
Highest peakm · Higher wins ↑
2,917
3,008
Would lose
Coastlinekm · Higher wins ↑ · Chosen
13,676
296
Would win
Flag colourscolours · Higher wins ↑
2
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.8° N
1.6° N
Would lose
25
Round 25Won37 countries · 4 lives left
ZimbabwevsSenegal
Area: 390,757 vs 196,722 km² · Higher wins ↑
Conquered Senegal.
Other category comparisons 3 other winning choices
All eight categories for Zimbabwe against Senegal
Category
Zimbabwe
Senegal
Result
Areakm² · Higher wins ↑ · Chosen
390,757
196,722
Would win
Populationpeople · Higher wins ↑
16,340,822
18,077,573
Would lose
Wealth per personint’l $ · Higher wins ↑
5,796
4,782
Would win
Densityper km² · Higher wins ↑
41.8
91.9
Would lose
Highest peakm · Higher wins ↑
2,592
648
Would win
Coastlinekm · Higher wins ↑
0
531
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
15.2° N
Would lose
26
Round 26Won38 countries · 4 lives left
KyrgyzstanvsPhilippines
Highest peak: 7,439 vs 2,954 m · Higher wins ↑
Conquered Philippines.
Other category comparisons 0 other winning choices
All eight categories for Kyrgyzstan against Philippines
Category
Kyrgyzstan
Philippines
Result
Areakm² · Higher wins ↑
199,951
300,000
Would lose
Populationpeople · Higher wins ↑
7,099,750
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑
7,304
10,995
Would lose
Densityper km² · Higher wins ↑
35.5
383.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,439
2,954
Would win
Coastlinekm · Higher wins ↑
0
36,289
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.7° N
17.0° N
Would lose
27
Round 27Won39 countries · 4 lives left
SyriavsTajikistan
Proximity to equator: 35.0° N vs 38.3° N from the equator · Closer wins ↓
Conquered Tajikistan.
Other category comparisons 4 other winning choices
All eight categories for Syria against Tajikistan
Category
Syria
Tajikistan
Result
Areakm² · Higher wins ↑
187,437
144,100
Would win
Populationpeople · Higher wins ↑
23,594,623
10,389,799
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
4,968
Unavailable
Densityper km² · Higher wins ↑
125.9
72.1
Would win
Highest peakm · Higher wins ↑
2,814
7,495
Would lose
Coastlinekm · Higher wins ↑
193
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
35.0° N
38.3° N
Would win
28
Round 28Won40 countries · 4 lives left
BhutanvsLuxembourg
Highest peak: 7,570 vs 559 m · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 4 other winning choices
All eight categories for Bhutan against Luxembourg
Category
Bhutan
Luxembourg
Result
Areakm² · Higher wins ↑
38,394
2,586
Would win
Populationpeople · Higher wins ↑
786,385
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
16,229
152,596
Would lose
Densityper km² · Higher wins ↑
20.5
257.7
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
559
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
49.7° N
Would win
29
Round 29Won41 countries · 4 lives left
Timor-LestevsUruguay
Density: 93.1 vs 19.2 per km² · Higher wins ↑
Conquered Uruguay.
Other category comparisons 3 other winning choices
All eight categories for Timor-Leste against Uruguay
Category
Timor-Leste
Uruguay
Result
Areakm² · Higher wins ↑
14,874
176,215
Would lose
Populationpeople · Higher wins ↑
1,384,286
3,388,081
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
34,546
Would lose
Densityper km² · Higher wins ↑ · Chosen
93.1
19.2
Would win
Highest peakm · Higher wins ↑
2,963
514
Would win
Coastlinekm · Higher wins ↑
706
660
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
32.9° S
Would win
30
Round 30Lost40 countries · 3 lives left
ChilevsItaly
Coastline: 6,435 vs 7,600 km · Higher wins ↑
Returned to the world: Chile.
Other category comparisons 3 other winning choices
All eight categories for Chile against Italy
Category
Chile
Italy
Result
Areakm² · Higher wins ↑
756,102
301,340
Would win
Populationpeople · Higher wins ↑
19,658,835
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
33,174
60,350
Would lose
Densityper km² · Higher wins ↑
26.0
195.7
Would lose
Highest peakm · Higher wins ↑
6,893
4,748
Would win
Coastlinekm · Higher wins ↑ · Chosen
6,435
7,600
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓