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Untimed expedition · Data edition 01051846d672
43Wins
2Losses
5Ties
Explore the final empire · 56 countries
No countries match your search.
The path through the world
One choice at a time.
50 rounds
Where it began · 12 countries
Cyprus · Italy · Botswana · Oman · Yemen · Australia · Afghanistan · Belarus · Morocco · Malta · Brazil · Guinea
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
ItalyvsComoros
Wealth per person: 60,350 vs 3,897 int’l $ · Higher wins ↑
Conquered Comoros.
Other category comparisons 4 other winning choices
All eight categories for Italy against Comoros
Category
Italy
Comoros
Result
Areakm² · Higher wins ↑
301,340
2,235
Would win
Populationpeople · Higher wins ↑
58,984,216
850,387
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,350
3,897
Would win
Densityper km² · Higher wins ↑
195.7
380.5
Would lose
Highest peakm · Higher wins ↑
4,748
2,360
Would win
Coastlinekm · Higher wins ↑
7,600
340
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
11.7° S
Would lose
42
Round 42Tied51 countries · 3 lives left
ColombiavsGabon
Flag colours: 3 vs 3 colours · Higher wins ↑
Gabon became contested.
Other category comparisons 6 other winning choices
All eight categories for Colombia against Gabon
Category
Colombia
Gabon
Result
Areakm² · Higher wins ↑
1,138,910
267,667
Would win
Populationpeople · Higher wins ↑
52,321,152
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
20,773
Would win
Densityper km² · Higher wins ↑
45.9
9.3
Would win
Highest peakm · Higher wins ↑
5,730
1,050
Would win
Coastlinekm · Higher wins ↑
3,208
885
Would win
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
0.6° S
Would lose
43
Round 43Won53 countries · 3 lives left
ThailandvsNorth Korea
Proximity to equator: 15.5° N vs 39.9° N from the equator · Closer wins ↓
Conquered North Korea, Gabon.
Other category comparisons 3 other winning choices
All eight categories for Thailand against North Korea
Category
Thailand
North Korea
Result
Areakm² · Higher wins ↑
513,120
120,538
Would win
Populationpeople · Higher wins ↑
71,702,435
26,418,204
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
23,598
Unavailable
Unavailable
Densityper km² · Higher wins ↑
139.7
219.2
Would lose
Highest peakm · Higher wins ↑
2,565
2,744
Would lose
Coastlinekm · Higher wins ↑
3,219
2,495
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.5° N
39.9° N
Would win
44
Round 44Won54 countries · 3 lives left
SudanvsEquatorial Guinea
Area: 1,861,484 vs 28,051 km² · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 3 other winning choices
All eight categories for Sudan against Equatorial Guinea
Category
Sudan
Equatorial Guinea
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
28,051
Would win
Populationpeople · Higher wins ↑
50,042,791
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
16,997
Would lose
Densityper km² · Higher wins ↑
26.9
65.9
Would lose
Highest peakm · Higher wins ↑
3,042
3,008
Would win
Coastlinekm · Higher wins ↑
853
296
Would win
Flag colourscolours · Higher wins ↑
4
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
1.6° N
Would lose
45
Round 45Won55 countries · 3 lives left
BotswanavsMontenegro
Area: 581,730 vs 13,812 km² · Higher wins ↑
Conquered Montenegro.
Other category comparisons 2 other winning choices
All eight categories for Botswana against Montenegro
Category
Botswana
Montenegro
Result
Areakm² · Higher wins ↑ · Chosen
581,730
13,812
Would win
Populationpeople · Higher wins ↑
2,480,244
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
21,029
31,863
Would lose
Densityper km² · Higher wins ↑
4.3
45.1
Would lose
Highest peakm · Higher wins ↑
1,495
2,534
Would lose
Coastlinekm · Higher wins ↑
0
293.5
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° S
42.8° N
Would win
46
Round 46Won56 countries · 3 lives left
Timor-LestevsKenya
Coastline: 706 vs 536 km · Higher wins ↑
Conquered Kenya.
Other category comparisons 0 other winning choices
All eight categories for Timor-Leste against Kenya
Category
Timor-Leste
Kenya
Result
Areakm² · Higher wins ↑
14,874
580,367
Would lose
Populationpeople · Higher wins ↑
1,384,286
55,339,003
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
6,322
Would lose
Densityper km² · Higher wins ↑
93.1
95.4
Would lose
Highest peakm · Higher wins ↑
2,963
5,199
Would lose
Coastlinekm · Higher wins ↑ · Chosen
706
536
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
0.4° N
Would lose
47
Round 47Won57 countries · 3 lives left
LebanonvsBangladesh
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 2 other winning choices
All eight categories for Lebanon against Bangladesh
Category
Lebanon
Bangladesh
Result
Areakm² · Higher wins ↑
10,400
148,460
Would lose
Populationpeople · Higher wins ↑
5,773,493
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
9,155
Would win
Densityper km² · Higher wins ↑
555.1
1,155.0
Would lose
Highest peakm · Higher wins ↑
3,088
1,060
Would win
Coastlinekm · Higher wins ↑
225
580
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
24.3° N
Would lose
48
Round 48Tied57 countries · 3 lives left
AlbaniavsPeru
Flag colours: 2 vs 2 colours · Higher wins ↑
Peru became contested.
Other category comparisons 2 other winning choices
All eight categories for Albania against Peru
Category
Albania
Peru
Result
Areakm² · Higher wins ↑
28,748
1,285,216
Would lose
Populationpeople · Higher wins ↑
2,411,658
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑
24,848
17,042
Would win
Densityper km² · Higher wins ↑
83.9
26.3
Would win
Highest peakm · Higher wins ↑
2,764
6,746
Would lose
Coastlinekm · Higher wins ↑
362
2,414
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.7° N
13.0° S
Would lose
49
Round 49Tied57 countries · 3 lives left
OmanvsUnited States
Flag colours: 3 vs 3 colours · Higher wins ↑
United States became contested.
Other category comparisons 1 other winning choice
All eight categories for Oman against United States
Category
Oman
United States
Result
Areakm² · Higher wins ↑
309,500
9,833,517
Would lose
Populationpeople · Higher wins ↑
5,049,269
336,755,052
Would lose
Wealth per personint’l $ · Higher wins ↑
41,980
82,587
Would lose
Densityper km² · Higher wins ↑
16.3
34.2
Would lose
Highest peakm · Higher wins ↑
3,004
6,190
Would lose
Coastlinekm · Higher wins ↑
2,092
19,924
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
39.1° N
Would win
50
Round 50Lost56 countries · 2 lives left
MauritiusvsMoldova
Flag colours: 4 vs 9 colours · Higher wins ↑
Returned to the world: Mauritius, Peru, United States.
Other category comparisons 5 other winning choices
All eight categories for Mauritius against Moldova
Category
Mauritius
Moldova
Result
Areakm² · Higher wins ↑
2,040
33,851
Would lose
Populationpeople · Higher wins ↑
1,248,647
2,457,783
Would lose
Wealth per personint’l $ · Higher wins ↑
29,403
17,751
Would win
Densityper km² · Higher wins ↑
612.1
72.6
Would win
Highest peakm · Higher wins ↑
828
430
Would win
Coastlinekm · Higher wins ↑
177
0
Would win
Flag colourscolours · Higher wins ↑ · Chosen
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓