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Untimed expedition · Data edition 01051846d672
68Wins
4Losses
2Ties
Explore the final empire · 78 countries
No countries match your search.
The path through the world
One choice at a time.
74 rounds
Where it began · 12 countries
Palestine · Andorra · Republic of the Congo · Sierra Leone · Iraq · Montenegro · Oman · Colombia · Niger · Angola · Liberia · Romania
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
IraqvsRwanda
Area: 438,317 vs 26,338 km² · Higher wins ↑
Conquered Rwanda.
Other category comparisons 4 other winning choices
All eight categories for Iraq against Rwanda
Category
Iraq
Rwanda
Result
Areakm² · Higher wins ↑ · Chosen
438,317
26,338
Would win
Populationpeople · Higher wins ↑
45,074,049
13,954,471
Would win
Wealth per personint’l $ · Higher wins ↑
14,665
3,519
Would win
Densityper km² · Higher wins ↑
102.8
529.8
Would lose
Highest peakm · Higher wins ↑
3,611
4,519
Would lose
Coastlinekm · Higher wins ↑
58
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
1.8° S
Would lose
22
Round 22Won34 countries · 4 lives left
Côte d’IvoirevsLithuania
Proximity to equator: 7.5° N vs 55.1° N from the equator · Closer wins ↓
Conquered Lithuania.
Other category comparisons 5 other winning choices
All eight categories for Côte d’Ivoire against Lithuania
Category
Côte d’Ivoire
Lithuania
Result
Areakm² · Higher wins ↑
322,463
65,300
Would win
Populationpeople · Higher wins ↑
31,165,654
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
7,243
52,720
Would lose
Densityper km² · Higher wins ↑
96.6
44.0
Would win
Highest peakm · Higher wins ↑
1,752
294
Would win
Coastlinekm · Higher wins ↑
515
90
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.5° N
55.1° N
Would win
23
Round 23Won35 countries · 4 lives left
MontenegrovsPakistan
Wealth per person: 31,863 vs 6,019 int’l $ · Higher wins ↑
Conquered Pakistan.
Other category comparisons 1 other winning choice
All eight categories for Montenegro against Pakistan
Category
Montenegro
Pakistan
Result
Areakm² · Higher wins ↑
13,812
796,095
Would lose
Populationpeople · Higher wins ↑
623,529
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
31,863
6,019
Would win
Densityper km² · Higher wins ↑
45.1
310.9
Would lose
Highest peakm · Higher wins ↑
2,534
8,611
Would lose
Coastlinekm · Higher wins ↑
293.5
1,046
Would lose
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.8° N
27.8° N
Would lose
24
Round 24Won36 countries · 4 lives left
NepalvsBelgium
Highest peak: 8,849 vs 694 m · Higher wins ↑
Conquered Belgium.
Other category comparisons 3 other winning choices
All eight categories for Nepal against Belgium
Category
Nepal
Belgium
Result
Areakm² · Higher wins ↑
147,181
30,528
Would win
Populationpeople · Higher wins ↑
29,694,614
11,779,946
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
72,630
Would lose
Densityper km² · Higher wins ↑
201.8
385.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
8,849
694
Would win
Coastlinekm · Higher wins ↑
0
66.5
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
50.8° N
Would win
25
Round 25Won37 countries · 4 lives left
OmanvsEquatorial Guinea
Wealth per person: 41,980 vs 16,997 int’l $ · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 3 other winning choices
All eight categories for Oman against Equatorial Guinea
Category
Oman
Equatorial Guinea
Result
Areakm² · Higher wins ↑
309,500
28,051
Would win
Populationpeople · Higher wins ↑
5,049,269
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
41,980
16,997
Would win
Densityper km² · Higher wins ↑
16.3
65.9
Would lose
Highest peakm · Higher wins ↑
3,004
3,008
Would lose
Coastlinekm · Higher wins ↑
2,092
296
Would win
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
1.6° N
Would lose
26
Round 26Won38 countries · 4 lives left
AustriavsVenezuela
Density: 108.9 vs 31.0 per km² · Higher wins ↑
Conquered Venezuela.
Other category comparisons 0 other winning choices
All eight categories for Austria against Venezuela
Category
Austria
Venezuela
Result
Areakm² · Higher wins ↑
83,871
912,050
Would lose
Populationpeople · Higher wins ↑
9,131,761
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
74,261
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
108.9
31.0
Would win
Highest peakm · Higher wins ↑
3,798
4,978
Would lose
Coastlinekm · Higher wins ↑
0
2,800
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
7.2° N
Would lose
27
Round 27Won39 countries · 4 lives left
ColombiavsSaudi Arabia
Proximity to equator: 3.4° N vs 23.5° N from the equator · Closer wins ↓
Conquered Saudi Arabia.
Other category comparisons 5 other winning choices
All eight categories for Colombia against Saudi Arabia
Category
Colombia
Saudi Arabia
Result
Areakm² · Higher wins ↑
1,138,910
2,149,690
Would lose
Populationpeople · Higher wins ↑
52,321,152
33,702,731
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
71,624
Would lose
Densityper km² · Higher wins ↑
45.9
15.7
Would win
Highest peakm · Higher wins ↑
5,730
3,000
Would win
Coastlinekm · Higher wins ↑
3,208
2,640
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.4° N
23.5° N
Would win
28
Round 28Won40 countries · 4 lives left
BangladeshvsMexico
Density: 1,155.0 vs 66.0 per km² · Higher wins ↑
Conquered Mexico.
Other category comparisons 1 other winning choice
All eight categories for Bangladesh against Mexico
Category
Bangladesh
Mexico
Result
Areakm² · Higher wins ↑
148,460
1,964,375
Would lose
Populationpeople · Higher wins ↑
171,466,990
129,739,759
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
25,188
Would lose
Densityper km² · Higher wins ↑ · Chosen
1,155.0
66.0
Would win
Highest peakm · Higher wins ↑
1,060
5,636
Would lose
Coastlinekm · Higher wins ↑
580
9,330
Would lose
Flag colourscolours · Higher wins ↑
2
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
23.5° N
Would lose
29
Round 29Won41 countries · 4 lives left
NigervsIndonesia
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Indonesia.
Other category comparisons 0 other winning choices
All eight categories for Niger against Indonesia
Category
Niger
Indonesia
Result
Areakm² · Higher wins ↑
1,267,000
1,904,569
Would lose
Populationpeople · Higher wins ↑
26,159,867
281,190,067
Would lose
Wealth per personint’l $ · Higher wins ↑
1,903
15,428
Would lose
Densityper km² · Higher wins ↑
20.6
147.6
Would lose
Highest peakm · Higher wins ↑
2,022
4,884
Would lose
Coastlinekm · Higher wins ↑
0
54,716
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.6° N
1.0° S
Would lose
30
Round 30Won42 countries · 4 lives left
United StatesvsTrinidad and Tobago
Area: 9,833,517 vs 5,128 km² · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 4 other winning choices
All eight categories for United States against Trinidad and Tobago
Category
United States
Trinidad and Tobago
Result
Areakm² · Higher wins ↑ · Chosen
9,833,517
5,128
Would win
Populationpeople · Higher wins ↑
336,755,052
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
82,587
34,652
Would win
Densityper km² · Higher wins ↑
34.2
266.7
Would lose
Highest peakm · Higher wins ↑
6,190
940
Would win
Coastlinekm · Higher wins ↑
19,924
362
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
10.3° N
Would lose
31
Round 31Won43 countries · 4 lives left
AngolavsLebanon
Area: 1,246,700 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 3 other winning choices
All eight categories for Angola against Lebanon
Category
Angola
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
1,246,700
10,400
Would win
Populationpeople · Higher wins ↑
36,749,906
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
9,550
12,585
Would lose
Densityper km² · Higher wins ↑
29.5
555.1
Would lose
Highest peakm · Higher wins ↑
2,620
3,088
Would lose
Coastlinekm · Higher wins ↑
1,600
225
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
13.2° S
34.2° N
Would win
32
Round 32Won44 countries · 4 lives left
LaosvsNetherlands
Area: 236,800 vs 41,543 km² · Higher wins ↑
Conquered Netherlands.
Other category comparisons 2 other winning choices
All eight categories for Laos against Netherlands
Category
Laos
Netherlands
Result
Areakm² · Higher wins ↑ · Chosen
236,800
41,543
Would win
Populationpeople · Higher wins ↑
7,664,993
17,877,117
Would lose
Wealth per personint’l $ · Higher wins ↑
9,299
80,392
Would lose
Densityper km² · Higher wins ↑
32.4
430.3
Would lose
Highest peakm · Higher wins ↑
2,817
322
Would win
Coastlinekm · Higher wins ↑
0
451
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
19.6° N
52.2° N
Would win
33
Round 33Won45 countries · 4 lives left
LiberiavsAlbania
Proximity to equator: 7.0° N vs 40.7° N from the equator · Closer wins ↓
Conquered Albania.
Other category comparisons 4 other winning choices
All eight categories for Liberia against Albania
Category
Liberia
Albania
Result
Areakm² · Higher wins ↑
111,369
28,748
Would win
Populationpeople · Higher wins ↑
5,493,031
2,411,658
Would win
Wealth per personint’l $ · Higher wins ↑
1,796
24,848
Would lose
Densityper km² · Higher wins ↑
49.3
83.9
Would lose
Highest peakm · Higher wins ↑
1,447
2,764
Would lose
Coastlinekm · Higher wins ↑
579
362
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
40.7° N
Would win
34
Round 34Won46 countries · 4 lives left
NorwayvsSuriname
Wealth per person: 107,768 vs 21,128 int’l $ · Higher wins ↑
Conquered Suriname.
Other category comparisons 5 other winning choices
All eight categories for Norway against Suriname
Category
Norway
Suriname
Result
Areakm² · Higher wins ↑
323,802
163,820
Would win
Populationpeople · Higher wins ↑
5,519,601
628,886
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
107,768
21,128
Would win
Densityper km² · Higher wins ↑
17.0
3.8
Would win
Highest peakm · Higher wins ↑
2,469
1,230
Would win
Coastlinekm · Higher wins ↑
25,148
386
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
61.5° N
4.1° N
Would lose
35
Round 35Tied46 countries · 4 lives left
RomaniavsChile
Flag colours: 3 vs 3 colours · Higher wins ↑
Chile became contested.
Other category comparisons 2 other winning choices
All eight categories for Romania against Chile
Category
Romania
Chile
Result
Areakm² · Higher wins ↑
238,391
756,102
Would lose
Populationpeople · Higher wins ↑
19,061,062
19,658,835
Would lose
Wealth per personint’l $ · Higher wins ↑
45,982
33,174
Would win
Densityper km² · Higher wins ↑
80.0
26.0
Would win
Highest peakm · Higher wins ↑
2,544
6,893
Would lose
Coastlinekm · Higher wins ↑
225
6,435
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.7° N
23.4° S
Would lose
36
Round 36Won48 countries · 4 lives left
MalaysiavsMozambique
Proximity to equator: 4.4° N vs 14.0° S from the equator · Closer wins ↓
Conquered Mozambique, Chile.
Other category comparisons 5 other winning choices
All eight categories for Malaysia against Mozambique
Category
Malaysia
Mozambique
Result
Areakm² · Higher wins ↑
329,847
799,380
Would lose
Populationpeople · Higher wins ↑
35,126,298
33,635,160
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
1,680
Would win
Densityper km² · Higher wins ↑
106.5
42.1
Would win
Highest peakm · Higher wins ↑
4,095
2,436
Would win
Coastlinekm · Higher wins ↑
4,675
2,470
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.4° N
14.0° S
Would win
37
Round 37Won49 countries · 4 lives left
PalestinevsSolomon Islands
Population: 5,165,775 vs 800,005 people · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 2 other winning choices
All eight categories for Palestine against Solomon Islands
Category
Palestine
Solomon Islands
Result
Areakm² · Higher wins ↑
6,220
28,896
Would lose
Populationpeople · Higher wins ↑ · Chosen
5,165,775
800,005
Would win
Wealth per personint’l $ · Higher wins ↑
6,179
2,599
Would win
Densityper km² · Higher wins ↑
830.5
27.7
Would win
Highest peakm · Higher wins ↑
1,020
2,335
Would lose
Coastlinekm · Higher wins ↑
40
5,313
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
9.6° S
Would lose
38
Round 38Won50 countries · 4 lives left
KenyavsUzbekistan
Proximity to equator: 0.4° N vs 41.5° N from the equator · Closer wins ↓
Conquered Uzbekistan.
Other category comparisons 5 other winning choices
All eight categories for Kenya against Uzbekistan
Category
Kenya
Uzbekistan
Result
Areakm² · Higher wins ↑
580,367
447,400
Would win
Populationpeople · Higher wins ↑
55,339,003
35,652,307
Would win
Wealth per personint’l $ · Higher wins ↑
6,322
11,679
Would lose
Densityper km² · Higher wins ↑
95.4
79.7
Would win
Highest peakm · Higher wins ↑
5,199
4,643
Would win
Coastlinekm · Higher wins ↑
536
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.4° N
41.5° N
Would win
39
Round 39Won51 countries · 4 lives left
TürkiyevsBahrain
Population: 85,325,965 vs 1,577,059 people · Higher wins ↑
Conquered Bahrain.
Other category comparisons 3 other winning choices
All eight categories for Türkiye against Bahrain
Category
Türkiye
Bahrain
Result
Areakm² · Higher wins ↑
783,562
760
Would win
Populationpeople · Higher wins ↑ · Chosen
85,325,965
1,577,059
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
64,224
Would lose
Densityper km² · Higher wins ↑
108.9
2,075.1
Would lose
Highest peakm · Higher wins ↑
5,137
135
Would win
Coastlinekm · Higher wins ↑
7,200
161
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
26.0° N
Would lose
40
Round 40Lost50 countries · 3 lives left
ChadvsEthiopia
Flag colours: 3 vs 4 colours · Higher wins ↑
Returned to the world: Chad.
Other category comparisons 1 other winning choice
All eight categories for Chad against Ethiopia
Category
Chad
Ethiopia
Result
Areakm² · Higher wins ↑
1,284,000
1,104,300
Would win
Populationpeople · Higher wins ↑
19,319,064
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑
2,703
3,063
Would lose
Densityper km² · Higher wins ↑
15.0
116.5
Would lose
Highest peakm · Higher wins ↑
3,445
4,550
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑ · Chosen
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Iraqvs
Rwanda
Côte d’Ivoire
Lithuania
Montenegro
Pakistan
Nepal
Belgium
Oman
Equatorial Guinea
Austria
Venezuela
Colombia
Saudi Arabia
Bangladesh
Mexico
Niger
Indonesia
United States
Trinidad and Tobago
Angola
Lebanon
Laos
Netherlands
Liberia
Albania
Norway
Suriname
Romania
Chile
Malaysia
Mozambique
Palestine
Solomon Islands
Kenya
Uzbekistan
Türkiye
Bahrain
Chad
Ethiopia