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Untimed expedition · Data edition 01051846d672
156Wins
4Losses
1Ties
Explore the final empire · 165 countries
No countries match your search.
The path through the world
One choice at a time.
161 rounds
Where it began · 12 countries
United Kingdom · Lithuania · Dominican Republic · Comoros · Norway · Argentina · Timor-Leste · Mauritius · South Korea · Palestine · Togo · Tanzania
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
81
Round 81Won91 countries · 3 lives left
TanzaniavsTurkmenistan
Population: 66,617,606 vs 7,364,438 people · Higher wins ↑
Conquered Turkmenistan.
Other category comparisons 5 other winning choices
All eight categories for Tanzania against Turkmenistan
Category
Tanzania
Turkmenistan
Result
Areakm² · Higher wins ↑
947,300
488,100
Would win
Populationpeople · Higher wins ↑ · Chosen
66,617,606
7,364,438
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
19,645
Would lose
Densityper km² · Higher wins ↑
70.3
15.1
Would win
Highest peakm · Higher wins ↑
5,895
3,139
Would win
Coastlinekm · Higher wins ↑
1,424
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
39.9° N
Would win
82
Round 82Won92 countries · 3 lives left
BruneivsEl Salvador
Wealth per person: 85,103 vs 12,667 int’l $ · Higher wins ↑
Conquered El Salvador.
Other category comparisons 1 other winning choice
All eight categories for Brunei against El Salvador
Category
Brunei
El Salvador
Result
Areakm² · Higher wins ↑
5,765
21,041
Would lose
Populationpeople · Higher wins ↑
458,949
6,309,624
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
85,103
12,667
Would win
Densityper km² · Higher wins ↑
79.6
299.9
Would lose
Highest peakm · Higher wins ↑
1,850
2,730
Would lose
Coastlinekm · Higher wins ↑
161
307
Would lose
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
13.9° N
Would win
83
Round 83Won93 countries · 3 lives left
LebanonvsEquatorial Guinea
Density: 555.1 vs 65.9 per km² · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 2 other winning choices
All eight categories for Lebanon against Equatorial Guinea
Category
Lebanon
Equatorial Guinea
Result
Areakm² · Higher wins ↑
10,400
28,051
Would lose
Populationpeople · Higher wins ↑
5,773,493
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑
12,585
16,997
Would lose
Densityper km² · Higher wins ↑ · Chosen
555.1
65.9
Would win
Highest peakm · Higher wins ↑
3,088
3,008
Would win
Coastlinekm · Higher wins ↑
225
296
Would lose
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
1.6° N
Would lose
84
Round 84Won94 countries · 3 lives left
MauritaniavsLatvia
Area: 1,030,700 vs 64,589 km² · Higher wins ↑
Conquered Latvia.
Other category comparisons 5 other winning choices
All eight categories for Mauritania against Latvia
Category
Mauritania
Latvia
Result
Areakm² · Higher wins ↑ · Chosen
1,030,700
64,589
Would win
Populationpeople · Higher wins ↑
5,022,441
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
6,972
42,784
Would lose
Densityper km² · Higher wins ↑
4.9
29.2
Would lose
Highest peakm · Higher wins ↑
915
312
Would win
Coastlinekm · Higher wins ↑
754
498
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
56.6° N
Would win
85
Round 85Won95 countries · 3 lives left
United KingdomvsTrinidad and Tobago
Population: 68,526,000 vs 1,367,510 people · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 5 other winning choices
All eight categories for United Kingdom against Trinidad and Tobago
Category
United Kingdom
Trinidad and Tobago
Result
Areakm² · Higher wins ↑
243,610
5,128
Would win
Populationpeople · Higher wins ↑ · Chosen
68,526,000
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
60,787
34,652
Would win
Densityper km² · Higher wins ↑
281.3
266.7
Would win
Highest peakm · Higher wins ↑
1,345
940
Would win
Coastlinekm · Higher wins ↑
12,429
362
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
10.3° N
Would lose
86
Round 86Tied95 countries · 3 lives left
OmanvsYemen
Flag colours: 3 vs 3 colours · Higher wins ↑
Yemen became contested.
Other category comparisons 1 other winning choice
All eight categories for Oman against Yemen
Category
Oman
Yemen
Result
Areakm² · Higher wins ↑
309,500
527,968
Would lose
Populationpeople · Higher wins ↑
5,049,269
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
41,980
Unavailable
Unavailable
Densityper km² · Higher wins ↑
16.3
74.6
Would lose
Highest peakm · Higher wins ↑
3,004
3,666
Would lose
Coastlinekm · Higher wins ↑
2,092
1,906
Would win
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
15.3° N
Would lose
87
Round 87Won97 countries · 3 lives left
MozambiquevsBosnia and Herzegovina
Area: 799,380 vs 51,197 km² · Higher wins ↑
Conquered Bosnia and Herzegovina, Yemen.
Other category comparisons 5 other winning choices
All eight categories for Mozambique against Bosnia and Herzegovina
Category
Mozambique
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑ · Chosen
799,380
51,197
Would win
Populationpeople · Higher wins ↑
33,635,160
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑
1,680
23,376
Would lose
Densityper km² · Higher wins ↑
42.1
62.2
Would lose
Highest peakm · Higher wins ↑
2,436
2,386
Would win
Coastlinekm · Higher wins ↑
2,470
20
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.0° S
44.1° N
Would win
88
Round 88Won98 countries · 3 lives left
ThailandvsNew Zealand
Population: 71,702,435 vs 5,200,000 people · Higher wins ↑
Conquered New Zealand.
Other category comparisons 3 other winning choices
All eight categories for Thailand against New Zealand
Category
Thailand
New Zealand
Result
Areakm² · Higher wins ↑
513,120
268,838
Would win
Populationpeople · Higher wins ↑ · Chosen
71,702,435
5,200,000
Would win
Wealth per personint’l $ · Higher wins ↑
23,598
54,950
Would lose
Densityper km² · Higher wins ↑
139.7
19.3
Would win
Highest peakm · Higher wins ↑
2,565
3,724
Would lose
Coastlinekm · Higher wins ↑
3,219
15,134
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
45.3° S
Would win
89
Round 89Lost97 countries · 2 lives left
SomaliavsAngola
Density: 28.8 vs 29.5 per km² · Higher wins ↑
Returned to the world: Somalia.
Other category comparisons 2 other winning choices
All eight categories for Somalia against Angola
Category
Somalia
Angola
Result
Areakm² · Higher wins ↑
637,657
1,246,700
Would lose
Populationpeople · Higher wins ↑
18,358,615
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑
1,557
9,550
Would lose
Densityper km² · Higher wins ↑ · Chosen
28.8
29.5
Would lose
Highest peakm · Higher wins ↑
2,460
2,620
Would lose
Coastlinekm · Higher wins ↑
3,025
1,600
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
13.2° S
Would win
90
Round 90Won98 countries · 2 lives left
Solomon IslandsvsBelarus
Coastline: 5,313 vs 0 km · Higher wins ↑
Conquered Belarus.
Other category comparisons 3 other winning choices
All eight categories for Solomon Islands against Belarus
Category
Solomon Islands
Belarus
Result
Areakm² · Higher wins ↑
28,896
207,600
Would lose
Populationpeople · Higher wins ↑
800,005
9,178,298
Would lose
Wealth per personint’l $ · Higher wins ↑
2,599
30,860
Would lose
Densityper km² · Higher wins ↑
27.7
44.2
Would lose
Highest peakm · Higher wins ↑
2,335
346
Would win
Coastlinekm · Higher wins ↑ · Chosen
5,313
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
9.6° S
53.8° N
Would win
91
Round 91Won99 countries · 2 lives left
Burkina FasovsSenegal
Highest peak: 749 vs 648 m · Higher wins ↑
Conquered Senegal.
Other category comparisons 3 other winning choices
All eight categories for Burkina Faso against Senegal
Category
Burkina Faso
Senegal
Result
Areakm² · Higher wins ↑
274,200
196,722
Would win
Populationpeople · Higher wins ↑
23,025,776
18,077,573
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
4,782
Would lose
Densityper km² · Higher wins ↑
84.0
91.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
749
648
Would win
Coastlinekm · Higher wins ↑
0
531
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
12.8° N
15.2° N
Would win
92
Round 92Won100 countries · 2 lives left
MaldivesvsCentral African Republic
Coastline: 644 vs 0 km · Higher wins ↑
Conquered Central African Republic.
Other category comparisons 3 other winning choices
All eight categories for Maldives against Central African Republic
Category
Maldives
Central African Republic
Result
Areakm² · Higher wins ↑
298
622,984
Would lose
Populationpeople · Higher wins ↑
525,994
5,152,421
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
1,258
Would win
Densityper km² · Higher wins ↑
1,765.1
8.3
Would win
Highest peakm · Higher wins ↑
5
1,410
Would lose
Coastlinekm · Higher wins ↑ · Chosen
644
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.3° N
7.0° N
Would win
93
Round 93Won101 countries · 2 lives left
LithuaniavsNigeria
Wealth per person: 52,720 vs 8,712 int’l $ · Higher wins ↑
Conquered Nigeria.
Other category comparisons 1 other winning choice
All eight categories for Lithuania against Nigeria
Category
Lithuania
Nigeria
Result
Areakm² · Higher wins ↑
65,300
923,768
Would lose
Populationpeople · Higher wins ↑
2,871,585
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
8,712
Would win
Densityper km² · Higher wins ↑
44.0
246.7
Would lose
Highest peakm · Higher wins ↑
294
2,419
Would lose
Coastlinekm · Higher wins ↑
90
853
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
9.4° N
Would lose
94
Round 94Won102 countries · 2 lives left
ZambiavsBrazil
Density: 27.5 vs 24.8 per km² · Higher wins ↑
Conquered Brazil.
Other category comparisons 0 other winning choices
All eight categories for Zambia against Brazil
Category
Zambia
Brazil
Result
Areakm² · Higher wins ↑
752,618
8,515,770
Would lose
Populationpeople · Higher wins ↑
20,723,965
211,140,729
Would lose
Wealth per personint’l $ · Higher wins ↑
4,080
21,193
Would lose
Densityper km² · Higher wins ↑ · Chosen
27.5
24.8
Would win
Highest peakm · Higher wins ↑
2,330
2,994
Would lose
Coastlinekm · Higher wins ↑
0
7,491
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
14.7° S
12.6° S
Would lose
95
Round 95Won103 countries · 2 lives left
IndonesiavsNepal
Population: 281,190,067 vs 29,694,614 people · Higher wins ↑
Conquered Nepal.
Other category comparisons 4 other winning choices
All eight categories for Indonesia against Nepal
Category
Indonesia
Nepal
Result
Areakm² · Higher wins ↑
1,904,569
147,181
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
29,694,614
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
5,400
Would win
Densityper km² · Higher wins ↑
147.6
201.8
Would lose
Highest peakm · Higher wins ↑
4,884
8,849
Would lose
Coastlinekm · Higher wins ↑
54,716
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
29.0° N
Would win
96
Round 96Won104 countries · 2 lives left
QatarvsMyanmar
Wealth per person: 129,025 vs 5,958 int’l $ · Higher wins ↑
Conquered Myanmar.
Other category comparisons 1 other winning choice
All eight categories for Qatar against Myanmar
Category
Qatar
Myanmar
Result
Areakm² · Higher wins ↑
11,586
676,578
Would lose
Populationpeople · Higher wins ↑
2,656,032
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
129,025
5,958
Would win
Densityper km² · Higher wins ↑
229.2
80.0
Would win
Highest peakm · Higher wins ↑
103
5,870
Would lose
Coastlinekm · Higher wins ↑
563
1,930
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
25.1° N
21.6° N
Would lose
97
Round 97Won105 countries · 2 lives left
Sierra LeonevsCambodia
Proximity to equator: 8.7° N vs 12.6° N from the equator · Closer wins ↓
Conquered Cambodia.
Other category comparisons 2 other winning choices
All eight categories for Sierra Leone against Cambodia
Category
Sierra Leone
Cambodia
Result
Areakm² · Higher wins ↑
71,740
181,035
Would lose
Populationpeople · Higher wins ↑
8,460,512
17,423,880
Would lose
Wealth per personint’l $ · Higher wins ↑
3,371
7,437
Would lose
Densityper km² · Higher wins ↑
117.9
96.2
Would win
Highest peakm · Higher wins ↑
1,948
1,810
Would win
Coastlinekm · Higher wins ↑
402
443
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.7° N
12.6° N
Would win
98
Round 98Won106 countries · 2 lives left
United StatesvsMadagascar
Area: 9,833,517 vs 587,041 km² · Higher wins ↑
Conquered Madagascar.
Other category comparisons 4 other winning choices
All eight categories for United States against Madagascar
Category
United States
Madagascar
Result
Areakm² · Higher wins ↑ · Chosen
9,833,517
587,041
Would win
Populationpeople · Higher wins ↑
336,755,052
31,195,932
Would win
Wealth per personint’l $ · Higher wins ↑
82,587
1,810
Would win
Densityper km² · Higher wins ↑
34.2
53.1
Would lose
Highest peakm · Higher wins ↑
6,190
2,876
Would win
Coastlinekm · Higher wins ↑
19,924
4,828
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
18.4° S
Would lose
99
Round 99Won107 countries · 2 lives left
Dominican RepublicvsHungary
Density: 232.8 vs 103.1 per km² · Higher wins ↑
Conquered Hungary.
Other category comparisons 5 other winning choices
All eight categories for Dominican Republic against Hungary
Category
Dominican Republic
Hungary
Result
Areakm² · Higher wins ↑
48,670
93,028
Would lose
Populationpeople · Higher wins ↑
11,331,265
9,592,186
Would win
Wealth per personint’l $ · Higher wins ↑
25,861
46,376
Would lose
Densityper km² · Higher wins ↑ · Chosen
232.8
103.1
Would win
Highest peakm · Higher wins ↑
3,098
1,014
Would win
Coastlinekm · Higher wins ↑
1,288
0
Would win
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.1° N
47.3° N
Would win
100
Round 100Won108 countries · 2 lives left
LaosvsChile
Density: 32.4 vs 26.0 per km² · Higher wins ↑
Conquered Chile.
Other category comparisons 1 other winning choice
All eight categories for Laos against Chile
Category
Laos
Chile
Result
Areakm² · Higher wins ↑
236,800
756,102
Would lose
Populationpeople · Higher wins ↑
7,664,993
19,658,835
Would lose
Wealth per personint’l $ · Higher wins ↑
9,299
33,174
Would lose
Densityper km² · Higher wins ↑ · Chosen
32.4
26.0
Would win
Highest peakm · Higher wins ↑
2,817
6,893
Would lose
Coastlinekm · Higher wins ↑
0
6,435
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Tanzaniavs
Turkmenistan
Brunei
El Salvador
Lebanon
Equatorial Guinea
Mauritania
Latvia
United Kingdom
Trinidad and Tobago
Oman
Yemen
Mozambique
Bosnia and Herzegovina
Thailand
New Zealand
Somalia
Angola
Solomon Islands
Belarus
Burkina Faso
Senegal
Maldives
Central African Republic
Lithuania
Nigeria
Zambia
Brazil
Indonesia
Nepal
Qatar
Myanmar
Sierra Leone
Cambodia
United States
Madagascar
Dominican Republic
Hungary
Laos
Chile