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Untimed expedition · Data edition 01051846d672
75Wins
3Losses
0Ties
Explore the final empire · 84 countries
No countries match your search.
The path through the world
One choice at a time.
78 rounds
Where it began · 12 countries
Algeria · Poland · Italy · South Africa · Ukraine · Lithuania · Eritrea · Denmark · South Korea · Papua New Guinea · Chile · Liberia
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
UkrainevsDR Congo
Wealth per person: 17,680 vs 1,732 int’l $ · Higher wins ↑
Conquered DR Congo.
Other category comparisons 2 other winning choices
All eight categories for Ukraine against DR Congo
Category
Ukraine
DR Congo
Result
Areakm² · Higher wins ↑
603,550
2,344,858
Would lose
Populationpeople · Higher wins ↑
37,732,836
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,680
1,732
Would win
Densityper km² · Higher wins ↑
62.5
45.1
Would win
Highest peakm · Higher wins ↑
2,061
5,110
Would lose
Coastlinekm · Higher wins ↑
2,782
37
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
1.9° S
Would lose
22
Round 22Won34 countries · 4 lives left
BangladeshvsCabo Verde
Population: 171,466,990 vs 522,331 people · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 2 other winning choices
All eight categories for Bangladesh against Cabo Verde
Category
Bangladesh
Cabo Verde
Result
Areakm² · Higher wins ↑
148,460
4,033
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
10,251
Would lose
Densityper km² · Higher wins ↑
1,155.0
129.5
Would win
Highest peakm · Higher wins ↑
1,060
2,829
Would lose
Coastlinekm · Higher wins ↑
580
965
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
15.0° N
Would lose
23
Round 23Won35 countries · 4 lives left
LithuaniavsVanuatu
Population: 2,871,585 vs 320,409 people · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 3 other winning choices
All eight categories for Lithuania against Vanuatu
Category
Lithuania
Vanuatu
Result
Areakm² · Higher wins ↑
65,300
12,189
Would win
Populationpeople · Higher wins ↑ · Chosen
2,871,585
320,409
Would win
Wealth per personint’l $ · Higher wins ↑
52,720
4,202
Would win
Densityper km² · Higher wins ↑
44.0
26.3
Would win
Highest peakm · Higher wins ↑
294
1,877
Would lose
Coastlinekm · Higher wins ↑
90
2,528
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
15.4° S
Would lose
24
Round 24Won36 countries · 4 lives left
CzechiavsGuyana
Wealth per person: 56,062 vs 54,774 int’l $ · Higher wins ↑
Conquered Guyana.
Other category comparisons 2 other winning choices
All eight categories for Czechia against Guyana
Category
Czechia
Guyana
Result
Areakm² · Higher wins ↑
78,867
214,969
Would lose
Populationpeople · Higher wins ↑
10,864,042
826,353
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
54,774
Would win
Densityper km² · Higher wins ↑
137.8
3.8
Would win
Highest peakm · Higher wins ↑
1,602
2,775
Would lose
Coastlinekm · Higher wins ↑
0
459
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
2.7° N
Would lose
25
Round 25Won37 countries · 4 lives left
EritreavsRepublic of the Congo
Coastline: 2,234 vs 169 km · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 3 other winning choices
All eight categories for Eritrea against Republic of the Congo
Category
Eritrea
Republic of the Congo
Result
Areakm² · Higher wins ↑
117,600
342,000
Would lose
Populationpeople · Higher wins ↑
3,470,390
6,182,885
Would lose
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
6,856
Unavailable
Densityper km² · Higher wins ↑
29.5
18.1
Would win
Highest peakm · Higher wins ↑
3,018
1,020
Would win
Coastlinekm · Higher wins ↑ · Chosen
2,234
169
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.0° N
0.1° N
Would lose
26
Round 26Won38 countries · 4 lives left
IcelandvsPhilippines
Wealth per person: 82,257 vs 10,995 int’l $ · Higher wins ↑
Conquered Philippines.
Other category comparisons 0 other winning choices
All eight categories for Iceland against Philippines
Category
Iceland
Philippines
Result
Areakm² · Higher wins ↑
103,000
300,000
Would lose
Populationpeople · Higher wins ↑
385,663
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
10,995
Would win
Densityper km² · Higher wins ↑
3.7
383.0
Would lose
Highest peakm · Higher wins ↑
2,110
2,954
Would lose
Coastlinekm · Higher wins ↑
4,970
36,289
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
17.0° N
Would lose
27
Round 27Won39 countries · 4 lives left
DenmarkvsDominican Republic
Wealth per person: 77,425 vs 25,861 int’l $ · Higher wins ↑
Conquered Dominican Republic.
Other category comparisons 1 other winning choice
All eight categories for Denmark against Dominican Republic
Category
Denmark
Dominican Republic
Result
Areakm² · Higher wins ↑
43,094
48,670
Would lose
Populationpeople · Higher wins ↑
5,946,952
11,331,265
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
77,425
25,861
Would win
Densityper km² · Higher wins ↑
138.0
232.8
Would lose
Highest peakm · Higher wins ↑
171
3,098
Would lose
Coastlinekm · Higher wins ↑
7,314
1,288
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
19.1° N
Would lose
28
Round 28Won40 countries · 4 lives left
KuwaitvsBahrain
Area: 17,818 vs 760 km² · Higher wins ↑
Conquered Bahrain.
Other category comparisons 4 other winning choices
All eight categories for Kuwait against Bahrain
Category
Kuwait
Bahrain
Result
Areakm² · Higher wins ↑ · Chosen
17,818
760
Would win
Populationpeople · Higher wins ↑
4,853,420
1,577,059
Would win
Wealth per personint’l $ · Higher wins ↑
53,083
64,224
Would lose
Densityper km² · Higher wins ↑
272.4
2,075.1
Would lose
Highest peakm · Higher wins ↑
300
135
Would win
Coastlinekm · Higher wins ↑
499
161
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.4° N
26.0° N
Would lose
29
Round 29Won41 countries · 4 lives left
South KoreavsUnited Kingdom
Density: 518.6 vs 281.3 per km² · Higher wins ↑
Conquered United Kingdom.
Other category comparisons 3 other winning choices
All eight categories for South Korea against United Kingdom
Category
South Korea
United Kingdom
Result
Areakm² · Higher wins ↑
99,720
243,610
Would lose
Populationpeople · Higher wins ↑
51,712,619
68,526,000
Would lose
Wealth per personint’l $ · Higher wins ↑
57,430
60,787
Would lose
Densityper km² · Higher wins ↑ · Chosen
518.6
281.3
Would win
Highest peakm · Higher wins ↑
1,950
1,345
Would win
Coastlinekm · Higher wins ↑
2,413
12,429
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
52.5° N
Would win
30
Round 30Won42 countries · 4 lives left
Sierra LeonevsBolivia
Density: 117.9 vs 11.1 per km² · Higher wins ↑
Conquered Bolivia.
Other category comparisons 2 other winning choices
All eight categories for Sierra Leone against Bolivia
Category
Sierra Leone
Bolivia
Result
Areakm² · Higher wins ↑
71,740
1,098,581
Would lose
Populationpeople · Higher wins ↑
8,460,512
12,244,159
Would lose
Wealth per personint’l $ · Higher wins ↑
3,371
12,903
Would lose
Densityper km² · Higher wins ↑ · Chosen
117.9
11.1
Would win
Highest peakm · Higher wins ↑
1,948
6,542
Would lose
Coastlinekm · Higher wins ↑
402
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.7° N
16.7° S
Would win
31
Round 31Won43 countries · 4 lives left
Papua New GuineavsMontenegro
Area: 462,840 vs 13,812 km² · Higher wins ↑
Conquered Montenegro.
Other category comparisons 4 other winning choices
All eight categories for Papua New Guinea against Montenegro
Category
Papua New Guinea
Montenegro
Result
Areakm² · Higher wins ↑ · Chosen
462,840
13,812
Would win
Populationpeople · Higher wins ↑
10,389,635
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
4,672
31,863
Would lose
Densityper km² · Higher wins ↑
22.4
45.1
Would lose
Highest peakm · Higher wins ↑
4,509
2,534
Would win
Coastlinekm · Higher wins ↑
5,152
293.5
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
42.8° N
Would win
32
Round 32Won44 countries · 4 lives left
PalestinevsTürkiye
Density: 830.5 vs 108.9 per km² · Higher wins ↑
Conquered Türkiye.
Other category comparisons 2 other winning choices
All eight categories for Palestine against Türkiye
Category
Palestine
Türkiye
Result
Areakm² · Higher wins ↑
6,220
783,562
Would lose
Populationpeople · Higher wins ↑
5,165,775
85,325,965
Would lose
Wealth per personint’l $ · Higher wins ↑
6,179
43,196
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
108.9
Would win
Highest peakm · Higher wins ↑
1,020
5,137
Would lose
Coastlinekm · Higher wins ↑
40
7,200
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
39.1° N
Would win
33
Round 33Won45 countries · 4 lives left
ChilevsLesotho
Coastline: 6,435 vs 0 km · Higher wins ↑
Conquered Lesotho.
Other category comparisons 5 other winning choices
All eight categories for Chile against Lesotho
Category
Chile
Lesotho
Result
Areakm² · Higher wins ↑
756,102
30,355
Would win
Populationpeople · Higher wins ↑
19,658,835
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
33,174
2,880
Would win
Densityper km² · Higher wins ↑
26.0
76.1
Would lose
Highest peakm · Higher wins ↑
6,893
3,482
Would win
Coastlinekm · Higher wins ↑ · Chosen
6,435
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
29.4° S
Would win
34
Round 34Won46 countries · 4 lives left
BulgariavsQatar
Area: 110,879 vs 11,586 km² · Higher wins ↑
Conquered Qatar.
Other category comparisons 3 other winning choices
All eight categories for Bulgaria against Qatar
Category
Bulgaria
Qatar
Result
Areakm² · Higher wins ↑ · Chosen
110,879
11,586
Would win
Populationpeople · Higher wins ↑
6,446,596
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑
38,829
129,025
Would lose
Densityper km² · Higher wins ↑
58.1
229.2
Would lose
Highest peakm · Higher wins ↑
2,925
103
Would win
Coastlinekm · Higher wins ↑
354
563
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
25.1° N
Would lose
35
Round 35Won47 countries · 4 lives left
LiberiavsSweden
Proximity to equator: 7.0° N vs 65.8° N from the equator · Closer wins ↓
Conquered Sweden.
Other category comparisons 2 other winning choices
All eight categories for Liberia against Sweden
Category
Liberia
Sweden
Result
Areakm² · Higher wins ↑
111,369
450,295
Would lose
Populationpeople · Higher wins ↑
5,493,031
10,536,632
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
68,458
Would lose
Densityper km² · Higher wins ↑
49.3
23.4
Would win
Highest peakm · Higher wins ↑
1,447
2,100
Would lose
Coastlinekm · Higher wins ↑
579
3,218
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
65.8° N
Would win
36
Round 36Won48 countries · 4 lives left
AngolavsLibya
Population: 36,749,906 vs 7,305,659 people · Higher wins ↑
Conquered Libya.
Other category comparisons 3 other winning choices
All eight categories for Angola against Libya
Category
Angola
Libya
Result
Areakm² · Higher wins ↑
1,246,700
1,759,540
Would lose
Populationpeople · Higher wins ↑ · Chosen
36,749,906
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
9,550
13,858
Would lose
Densityper km² · Higher wins ↑
29.5
4.2
Would win
Highest peakm · Higher wins ↑
2,620
2,267
Would win
Coastlinekm · Higher wins ↑
1,600
1,770
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.2° S
26.1° N
Would win
37
Round 37Won49 countries · 4 lives left
AlgeriavsGuinea-Bissau
Area: 2,381,740 vs 36,125 km² · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 4 other winning choices
All eight categories for Algeria against Guinea-Bissau
Category
Algeria
Guinea-Bissau
Result
Areakm² · Higher wins ↑ · Chosen
2,381,740
36,125
Would win
Populationpeople · Higher wins ↑
46,164,219
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
16,838
2,956
Would win
Densityper km² · Higher wins ↑
19.4
59.6
Would lose
Highest peakm · Higher wins ↑
2,908
277
Would win
Coastlinekm · Higher wins ↑
998
350
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.4° N
12.1° N
Would lose
38
Round 38Won50 countries · 4 lives left
SenegalvsZambia
Coastline: 531 vs 0 km · Higher wins ↑
Conquered Zambia.
Other category comparisons 2 other winning choices
All eight categories for Senegal against Zambia
Category
Senegal
Zambia
Result
Areakm² · Higher wins ↑
196,722
752,618
Would lose
Populationpeople · Higher wins ↑
18,077,573
20,723,965
Would lose
Wealth per personint’l $ · Higher wins ↑
4,782
4,080
Would win
Densityper km² · Higher wins ↑
91.9
27.5
Would win
Highest peakm · Higher wins ↑
648
2,330
Would lose
Coastlinekm · Higher wins ↑ · Chosen
531
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.2° N
14.7° S
Would lose
39
Round 39Won51 countries · 4 lives left
MalawivsMauritania
Density: 178.1 vs 4.9 per km² · Higher wins ↑
Conquered Mauritania.
Other category comparisons 3 other winning choices
All eight categories for Malawi against Mauritania
Category
Malawi
Mauritania
Result
Areakm² · Higher wins ↑
118,484
1,030,700
Would lose
Populationpeople · Higher wins ↑
21,104,482
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
6,972
Would lose
Densityper km² · Higher wins ↑ · Chosen
178.1
4.9
Would win
Highest peakm · Higher wins ↑
3,002
915
Would win
Coastlinekm · Higher wins ↑
0
754
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
13.4° S
19.4° N
Would win
40
Round 40Won52 countries · 4 lives left
Equatorial GuineavsBurundi
Coastline: 296 vs 0 km · Higher wins ↑
Conquered Burundi.
Other category comparisons 5 other winning choices
All eight categories for Equatorial Guinea against Burundi
Category
Equatorial Guinea
Burundi
Result
Areakm² · Higher wins ↑
28,051
27,830
Would win
Populationpeople · Higher wins ↑
1,847,549
13,689,450
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
1,147
Would win
Densityper km² · Higher wins ↑
65.9
491.9
Would lose
Highest peakm · Higher wins ↑
3,008
2,685
Would win
Coastlinekm · Higher wins ↑ · Chosen
296
0
Would win
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Ukrainevs
DR Congo
Bangladesh
Cabo Verde
Lithuania
Vanuatu
Czechia
Guyana
Eritrea
Republic of the Congo
Iceland
Philippines
Denmark
Dominican Republic
Kuwait
Bahrain
South Korea
United Kingdom
Sierra Leone
Bolivia
Papua New Guinea
Montenegro
Palestine
Türkiye
Chile
Lesotho
Bulgaria
Qatar
Liberia
Sweden
Angola
Libya
Algeria
Guinea-Bissau
Senegal
Zambia
Malawi
Mauritania
Equatorial Guinea
Burundi