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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.
61
Round 61Won71 countries · 3 lives left
EritreavsCôte d’Ivoire
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 2 other winning choices
All eight categories for Eritrea against Côte d’Ivoire
Category
Eritrea
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
117,600
322,463
Would lose
Populationpeople · Higher wins ↑
3,470,390
31,165,654
Would lose
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
7,243
Unavailable
Densityper km² · Higher wins ↑
29.5
96.6
Would lose
Highest peakm · Higher wins ↑
3,018
1,752
Would win
Coastlinekm · Higher wins ↑
2,234
515
Would win
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.0° N
7.5° N
Would lose
62
Round 62Won72 countries · 3 lives left
Republic of the CongovsParaguay
Proximity to equator: 0.1° N vs 21.6° S from the equator · Closer wins ↓
Conquered Paraguay.
Other category comparisons 3 other winning choices
All eight categories for Republic of the Congo against Paraguay
Category
Republic of the Congo
Paraguay
Result
Areakm² · Higher wins ↑
342,000
406,752
Would lose
Populationpeople · Higher wins ↑
6,182,885
6,844,146
Would lose
Wealth per personint’l $ · Higher wins ↑
6,856
17,585
Would lose
Densityper km² · Higher wins ↑
18.1
16.8
Would win
Highest peakm · Higher wins ↑
1,020
842
Would win
Coastlinekm · Higher wins ↑
169
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.1° N
21.6° S
Would win
63
Round 63Won73 countries · 3 lives left
IcelandvsCroatia
Wealth per person: 82,257 vs 47,760 int’l $ · Higher wins ↑
Conquered Croatia.
Other category comparisons 2 other winning choices
All eight categories for Iceland against Croatia
Category
Iceland
Croatia
Result
Areakm² · Higher wins ↑
103,000
56,594
Would win
Populationpeople · Higher wins ↑
385,663
3,859,686
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
47,760
Would win
Densityper km² · Higher wins ↑
3.7
68.2
Would lose
Highest peakm · Higher wins ↑
2,110
1,831
Would win
Coastlinekm · Higher wins ↑
4,970
5,835
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
45.8° N
Would lose
64
Round 64Won74 countries · 3 lives left
PhilippinesvsBrunei
Population: 114,891,199 vs 458,949 people · Higher wins ↑
Conquered Brunei.
Other category comparisons 4 other winning choices
All eight categories for Philippines against Brunei
Category
Philippines
Brunei
Result
Areakm² · Higher wins ↑
300,000
5,765
Would win
Populationpeople · Higher wins ↑ · Chosen
114,891,199
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
85,103
Would lose
Densityper km² · Higher wins ↑
383.0
79.6
Would win
Highest peakm · Higher wins ↑
2,954
1,850
Would win
Coastlinekm · Higher wins ↑
36,289
161
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
4.5° N
Would lose
65
Round 65Won75 countries · 3 lives left
DenmarkvsUruguay
Wealth per person: 77,425 vs 34,546 int’l $ · Higher wins ↑
Conquered Uruguay.
Other category comparisons 3 other winning choices
All eight categories for Denmark against Uruguay
Category
Denmark
Uruguay
Result
Areakm² · Higher wins ↑
43,094
176,215
Would lose
Populationpeople · Higher wins ↑
5,946,952
3,388,081
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
77,425
34,546
Would win
Densityper km² · Higher wins ↑
138.0
19.2
Would win
Highest peakm · Higher wins ↑
171
514
Would lose
Coastlinekm · Higher wins ↑
7,314
660
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
32.9° S
Would lose
66
Round 66Won76 countries · 3 lives left
Dominican RepublicvsGhana
Density: 232.8 vs 141.6 per km² · Higher wins ↑
Conquered Ghana.
Other category comparisons 4 other winning choices
All eight categories for Dominican Republic against Ghana
Category
Dominican Republic
Ghana
Result
Areakm² · Higher wins ↑
48,670
238,533
Would lose
Populationpeople · Higher wins ↑
11,331,265
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑
25,861
7,563
Would win
Densityper km² · Higher wins ↑ · Chosen
232.8
141.6
Would win
Highest peakm · Higher wins ↑
3,098
885
Would win
Coastlinekm · Higher wins ↑
1,288
539
Would win
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.1° N
7.0° N
Would lose
67
Round 67Won77 countries · 3 lives left
KuwaitvsRussia
Density: 272.4 vs 8.4 per km² · Higher wins ↑
Conquered Russia.
Other category comparisons 3 other winning choices
All eight categories for Kuwait against Russia
Category
Kuwait
Russia
Result
Areakm² · Higher wins ↑
17,818
17,098,242
Would lose
Populationpeople · Higher wins ↑
4,853,420
143,826,130
Would lose
Wealth per personint’l $ · Higher wins ↑
53,083
44,299
Would win
Densityper km² · Higher wins ↑ · Chosen
272.4
8.4
Would win
Highest peakm · Higher wins ↑
300
5,642
Would lose
Coastlinekm · Higher wins ↑
499
37,653
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.4° N
63.6° N
Would win
68
Round 68Lost76 countries · 2 lives left
BahrainvsNorth Korea
Flag colours: 2 vs 3 colours · Higher wins ↑
Returned to the world: Bahrain.
Other category comparisons 2 other winning choices
All eight categories for Bahrain against North Korea
Category
Bahrain
North Korea
Result
Areakm² · Higher wins ↑
760
120,538
Would lose
Populationpeople · Higher wins ↑
1,577,059
26,418,204
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
64,224
Unavailable
Unavailable
Densityper km² · Higher wins ↑
2,075.1
219.2
Would win
Highest peakm · Higher wins ↑
135
2,744
Would lose
Coastlinekm · Higher wins ↑
161
2,495
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.0° N
39.9° N
Would win
69
Round 69Won77 countries · 2 lives left
South KoreavsGermany
Density: 518.6 vs 233.3 per km² · Higher wins ↑
Conquered Germany.
Other category comparisons 3 other winning choices
All eight categories for South Korea against Germany
Category
South Korea
Germany
Result
Areakm² · Higher wins ↑
99,720
357,022
Would lose
Populationpeople · Higher wins ↑
51,712,619
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
57,430
72,262
Would lose
Densityper km² · Higher wins ↑ · Chosen
518.6
233.3
Would win
Highest peakm · Higher wins ↑
1,950
2,963
Would lose
Coastlinekm · Higher wins ↑
2,413
2,389
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
51.0° N
Would win
70
Round 70Won78 countries · 2 lives left
United KingdomvsSyria
Population: 68,526,000 vs 23,594,623 people · Higher wins ↑
Conquered Syria.
Other category comparisons 3 other winning choices
All eight categories for United Kingdom against Syria
Category
United Kingdom
Syria
Result
Areakm² · Higher wins ↑
243,610
187,437
Would win
Populationpeople · Higher wins ↑ · Chosen
68,526,000
23,594,623
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
60,787
Unavailable
Unavailable
Densityper km² · Higher wins ↑
281.3
125.9
Would win
Highest peakm · Higher wins ↑
1,345
2,814
Would lose
Coastlinekm · Higher wins ↑
12,429
193
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
35.0° N
Would lose
71
Round 71Won79 countries · 2 lives left
Sierra LeonevsComoros
Population: 8,460,512 vs 850,387 people · Higher wins ↑
Conquered Comoros.
Other category comparisons 3 other winning choices
All eight categories for Sierra Leone against Comoros
Category
Sierra Leone
Comoros
Result
Areakm² · Higher wins ↑
71,740
2,235
Would win
Populationpeople · Higher wins ↑ · Chosen
8,460,512
850,387
Would win
Wealth per personint’l $ · Higher wins ↑
3,371
3,897
Would lose
Densityper km² · Higher wins ↑
117.9
380.5
Would lose
Highest peakm · Higher wins ↑
1,948
2,360
Would lose
Coastlinekm · Higher wins ↑
402
340
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.7° N
11.7° S
Would win
72
Round 72Won80 countries · 2 lives left
BoliviavsBhutan
Population: 12,244,159 vs 786,385 people · Higher wins ↑
Conquered Bhutan.
Other category comparisons 3 other winning choices
All eight categories for Bolivia against Bhutan
Category
Bolivia
Bhutan
Result
Areakm² · Higher wins ↑
1,098,581
38,394
Would win
Populationpeople · Higher wins ↑ · Chosen
12,244,159
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
12,903
16,229
Would lose
Densityper km² · Higher wins ↑
11.1
20.5
Would lose
Highest peakm · Higher wins ↑
6,542
7,570
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.7° S
27.5° N
Would win
73
Round 73Won81 countries · 2 lives left
Papua New GuineavsSerbia
Area: 462,840 vs 77,474 km² · Higher wins ↑
Conquered Serbia.
Other category comparisons 4 other winning choices
All eight categories for Papua New Guinea against Serbia
Category
Papua New Guinea
Serbia
Result
Areakm² · Higher wins ↑ · Chosen
462,840
77,474
Would win
Populationpeople · Higher wins ↑
10,389,635
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑
4,672
29,777
Would lose
Densityper km² · Higher wins ↑
22.4
85.5
Would lose
Highest peakm · Higher wins ↑
4,509
2,169
Would win
Coastlinekm · Higher wins ↑
5,152
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
44.2° N
Would win
74
Round 74Won82 countries · 2 lives left
MontenegrovsTrinidad and Tobago
Area: 13,812 vs 5,128 km² · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 2 other winning choices
All eight categories for Montenegro against Trinidad and Tobago
Category
Montenegro
Trinidad and Tobago
Result
Areakm² · Higher wins ↑ · Chosen
13,812
5,128
Would win
Populationpeople · Higher wins ↑
623,529
1,367,510
Would lose
Wealth per personint’l $ · Higher wins ↑
31,863
34,652
Would lose
Densityper km² · Higher wins ↑
45.1
266.7
Would lose
Highest peakm · Higher wins ↑
2,534
940
Would win
Coastlinekm · Higher wins ↑
293.5
362
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.8° N
10.3° N
Would lose
75
Round 75Won83 countries · 2 lives left
PalestinevsCanada
Density: 830.5 vs 4.0 per km² · Higher wins ↑
Conquered Canada.
Other category comparisons 2 other winning choices
All eight categories for Palestine against Canada
Category
Palestine
Canada
Result
Areakm² · Higher wins ↑
6,220
9,984,670
Would lose
Populationpeople · Higher wins ↑
5,165,775
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
6,179
64,962
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
4.0
Would win
Highest peakm · Higher wins ↑
1,020
5,959
Would lose
Coastlinekm · Higher wins ↑
40
202,080
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
58.8° N
Would win
76
Round 76Won84 countries · 2 lives left
TürkiyevsSlovenia
Population: 85,325,965 vs 2,120,461 people · Higher wins ↑
Conquered Slovenia.
Other category comparisons 5 other winning choices
All eight categories for Türkiye against Slovenia
Category
Türkiye
Slovenia
Result
Areakm² · Higher wins ↑
783,562
20,273
Would win
Populationpeople · Higher wins ↑ · Chosen
85,325,965
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
56,151
Would lose
Densityper km² · Higher wins ↑
108.9
104.6
Would win
Highest peakm · Higher wins ↑
5,137
2,864
Would win
Coastlinekm · Higher wins ↑
7,200
46.6
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
46.0° N
Would win
77
Round 77Won85 countries · 2 lives left
ChilevsNew Zealand
Population: 19,658,835 vs 5,200,000 people · Higher wins ↑
Conquered New Zealand.
Other category comparisons 4 other winning choices
All eight categories for Chile against New Zealand
Category
Chile
New Zealand
Result
Areakm² · Higher wins ↑
756,102
268,838
Would win
Populationpeople · Higher wins ↑ · Chosen
19,658,835
5,200,000
Would win
Wealth per personint’l $ · Higher wins ↑
33,174
54,950
Would lose
Densityper km² · Higher wins ↑
26.0
19.3
Would win
Highest peakm · Higher wins ↑
6,893
3,724
Would win
Coastlinekm · Higher wins ↑
6,435
15,134
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
45.3° S
Would win
78
Round 78Lost84 countries · 1 life left
LesothovsMalaysia
Density: 76.1 vs 106.5 per km² · Higher wins ↑
Returned to the world: Lesotho.
Other category comparisons 0 other winning choices
All eight categories for Lesotho against Malaysia
Category
Lesotho
Malaysia
Result
Areakm² · Higher wins ↑
30,355
329,847
Would lose
Populationpeople · Higher wins ↑
2,311,472
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑
2,880
36,497
Would lose
Densityper km² · Higher wins ↑ · Chosen
76.1
106.5
Would lose
Highest peakm · Higher wins ↑
3,482
4,095
Would lose
Coastlinekm · Higher wins ↑
0
4,675
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Eritreavs
Côte d’Ivoire
Republic of the Congo
Paraguay
Iceland
Croatia
Philippines
Brunei
Denmark
Uruguay
Dominican Republic
Ghana
Kuwait
Russia
Bahrain
North Korea
South Korea
Germany
United Kingdom
Syria
Sierra Leone
Comoros
Bolivia
Bhutan
Papua New Guinea
Serbia
Montenegro
Trinidad and Tobago
Palestine
Canada
Türkiye
Slovenia
Chile
New Zealand
Lesotho
Malaysia