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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.
1
Round 1Won13 countries · 4 lives left
AlgeriavsMalawi
Area: 2,381,740 vs 118,484 km² · Higher wins ↑
Conquered Malawi.
Other category comparisons 3 other winning choices
All eight categories for Algeria against Malawi
Category
Algeria
Malawi
Result
Areakm² · Higher wins ↑ · Chosen
2,381,740
118,484
Would win
Populationpeople · Higher wins ↑
46,164,219
21,104,482
Would win
Wealth per personint’l $ · Higher wins ↑
16,838
1,832
Would win
Densityper km² · Higher wins ↑
19.4
178.1
Would lose
Highest peakm · Higher wins ↑
2,908
3,002
Would lose
Coastlinekm · Higher wins ↑
998
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.4° N
13.4° S
Would lose
2
Round 2Won14 countries · 4 lives left
PolandvsAndorra
Population: 36,687,353 vs 80,856 people · Higher wins ↑
Conquered Andorra.
Other category comparisons 2 other winning choices
All eight categories for Poland against Andorra
Category
Poland
Andorra
Result
Areakm² · Higher wins ↑
312,685
468
Would win
Populationpeople · Higher wins ↑ · Chosen
36,687,353
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
48,473
71,790
Would lose
Densityper km² · Higher wins ↑
117.3
172.8
Would lose
Highest peakm · Higher wins ↑
2,499
2,946
Would lose
Coastlinekm · Higher wins ↑
440
0
Would win
Flag colourscolours · Higher wins ↑
2
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
42.5° N
Would lose
3
Round 3Won15 countries · 4 lives left
ItalyvsSwitzerland
Population: 58,984,216 vs 8,888,822 people · Higher wins ↑
Conquered Switzerland.
Other category comparisons 5 other winning choices
All eight categories for Italy against Switzerland
Category
Italy
Switzerland
Result
Areakm² · Higher wins ↑
301,340
41,277
Would win
Populationpeople · Higher wins ↑ · Chosen
58,984,216
8,888,822
Would win
Wealth per personint’l $ · Higher wins ↑
60,350
93,940
Would lose
Densityper km² · Higher wins ↑
195.7
215.3
Would lose
Highest peakm · Higher wins ↑
4,748
4,634
Would win
Coastlinekm · Higher wins ↑
7,600
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
46.7° N
Would win
4
Round 4Won16 countries · 4 lives left
South AfricavsBrazil
Highest peak: 3,450 vs 2,994 m · Higher wins ↑
Conquered Brazil.
Other category comparisons 2 other winning choices
All eight categories for South Africa against Brazil
Category
South Africa
Brazil
Result
Areakm² · Higher wins ↑
1,219,090
8,515,770
Would lose
Populationpeople · Higher wins ↑
63,212,384
211,140,729
Would lose
Wealth per personint’l $ · Higher wins ↑
15,212
21,193
Would lose
Densityper km² · Higher wins ↑
51.9
24.8
Would win
Highest peakm · Higher wins ↑ · Chosen
3,450
2,994
Would win
Coastlinekm · Higher wins ↑
2,798
7,491
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.2° S
12.6° S
Would lose
5
Round 5Won17 countries · 4 lives left
UkrainevsBangladesh
Wealth per person: 17,680 vs 9,155 int’l $ · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 3 other winning choices
All eight categories for Ukraine against Bangladesh
Category
Ukraine
Bangladesh
Result
Areakm² · Higher wins ↑
603,550
148,460
Would win
Populationpeople · Higher wins ↑
37,732,836
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,680
9,155
Would win
Densityper km² · Higher wins ↑
62.5
1,155.0
Would lose
Highest peakm · Higher wins ↑
2,061
1,060
Would win
Coastlinekm · Higher wins ↑
2,782
580
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
24.3° N
Would lose
6
Round 6Won18 countries · 4 lives left
LithuaniavsCzechia
Coastline: 90 vs 0 km · Higher wins ↑
Conquered Czechia.
Other category comparisons 0 other winning choices
All eight categories for Lithuania against Czechia
Category
Lithuania
Czechia
Result
Areakm² · Higher wins ↑
65,300
78,867
Would lose
Populationpeople · Higher wins ↑
2,871,585
10,864,042
Would lose
Wealth per personint’l $ · Higher wins ↑
52,720
56,062
Would lose
Densityper km² · Higher wins ↑
44.0
137.8
Would lose
Highest peakm · Higher wins ↑
294
1,602
Would lose
Coastlinekm · Higher wins ↑ · Chosen
90
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
49.8° N
Would lose
7
Round 7Won19 countries · 4 lives left
EritreavsIceland
Population: 3,470,390 vs 385,663 people · Higher wins ↑
Conquered Iceland.
Other category comparisons 5 other winning choices
All eight categories for Eritrea against Iceland
Category
Eritrea
Iceland
Result
Areakm² · Higher wins ↑
117,600
103,000
Would win
Populationpeople · Higher wins ↑ · Chosen
3,470,390
385,663
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
82,257
Unavailable
Densityper km² · Higher wins ↑
29.5
3.7
Would win
Highest peakm · Higher wins ↑
3,018
2,110
Would win
Coastlinekm · Higher wins ↑
2,234
4,970
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.0° N
64.7° N
Would win
8
Round 8Won20 countries · 4 lives left
DenmarkvsKuwait
Area: 43,094 vs 17,818 km² · Higher wins ↑
Conquered Kuwait.
Other category comparisons 3 other winning choices
All eight categories for Denmark against Kuwait
Category
Denmark
Kuwait
Result
Areakm² · Higher wins ↑ · Chosen
43,094
17,818
Would win
Populationpeople · Higher wins ↑
5,946,952
4,853,420
Would win
Wealth per personint’l $ · Higher wins ↑
77,425
53,083
Would win
Densityper km² · Higher wins ↑
138.0
272.4
Would lose
Highest peakm · Higher wins ↑
171
300
Would lose
Coastlinekm · Higher wins ↑
7,314
499
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
29.4° N
Would lose
9
Round 9Won21 countries · 4 lives left
South KoreavsSierra Leone
Population: 51,712,619 vs 8,460,512 people · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 6 other winning choices
All eight categories for South Korea against Sierra Leone
Category
South Korea
Sierra Leone
Result
Areakm² · Higher wins ↑
99,720
71,740
Would win
Populationpeople · Higher wins ↑ · Chosen
51,712,619
8,460,512
Would win
Wealth per personint’l $ · Higher wins ↑
57,430
3,371
Would win
Densityper km² · Higher wins ↑
518.6
117.9
Would win
Highest peakm · Higher wins ↑
1,950
1,948
Would win
Coastlinekm · Higher wins ↑
2,413
402
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
8.7° N
Would lose
10
Round 10Won22 countries · 4 lives left
Papua New GuineavsPalestine
Area: 462,840 vs 6,220 km² · Higher wins ↑
Conquered Palestine.
Other category comparisons 4 other winning choices
All eight categories for Papua New Guinea against Palestine
Category
Papua New Guinea
Palestine
Result
Areakm² · Higher wins ↑ · Chosen
462,840
6,220
Would win
Populationpeople · Higher wins ↑
10,389,635
5,165,775
Would win
Wealth per personint’l $ · Higher wins ↑
4,672
6,179
Would lose
Densityper km² · Higher wins ↑
22.4
830.5
Would lose
Highest peakm · Higher wins ↑
4,509
1,020
Would win
Coastlinekm · Higher wins ↑
5,152
40
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
32.1° N
Would win
11
Round 11Won23 countries · 4 lives left
ChilevsBulgaria
Coastline: 6,435 vs 354 km · Higher wins ↑
Conquered Bulgaria.
Other category comparisons 4 other winning choices
All eight categories for Chile against Bulgaria
Category
Chile
Bulgaria
Result
Areakm² · Higher wins ↑
756,102
110,879
Would win
Populationpeople · Higher wins ↑
19,658,835
6,446,596
Would win
Wealth per personint’l $ · Higher wins ↑
33,174
38,829
Would lose
Densityper km² · Higher wins ↑
26.0
58.1
Would lose
Highest peakm · Higher wins ↑
6,893
2,925
Would win
Coastlinekm · Higher wins ↑ · Chosen
6,435
354
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
42.5° N
Would win
12
Round 12Won24 countries · 4 lives left
LiberiavsAngola
Proximity to equator: 7.0° N vs 13.2° S from the equator · Closer wins ↓
Conquered Angola.
Other category comparisons 1 other winning choice
All eight categories for Liberia against Angola
Category
Liberia
Angola
Result
Areakm² · Higher wins ↑
111,369
1,246,700
Would lose
Populationpeople · Higher wins ↑
5,493,031
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
9,550
Would lose
Densityper km² · Higher wins ↑
49.3
29.5
Would win
Highest peakm · Higher wins ↑
1,447
2,620
Would lose
Coastlinekm · Higher wins ↑
579
1,600
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
13.2° S
Would win
13
Round 13Won25 countries · 4 lives left
AlgeriavsSenegal
Area: 2,381,740 vs 196,722 km² · Higher wins ↑
Conquered Senegal.
Other category comparisons 4 other winning choices
All eight categories for Algeria against Senegal
Category
Algeria
Senegal
Result
Areakm² · Higher wins ↑ · Chosen
2,381,740
196,722
Would win
Populationpeople · Higher wins ↑
46,164,219
18,077,573
Would win
Wealth per personint’l $ · Higher wins ↑
16,838
4,782
Would win
Densityper km² · Higher wins ↑
19.4
91.9
Would lose
Highest peakm · Higher wins ↑
2,908
648
Would win
Coastlinekm · Higher wins ↑
998
531
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.4° N
15.2° N
Would lose
14
Round 14Won26 countries · 4 lives left
MalawivsEquatorial Guinea
Area: 118,484 vs 28,051 km² · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 2 other winning choices
All eight categories for Malawi against Equatorial Guinea
Category
Malawi
Equatorial Guinea
Result
Areakm² · Higher wins ↑ · Chosen
118,484
28,051
Would win
Populationpeople · Higher wins ↑
21,104,482
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
16,997
Would lose
Densityper km² · Higher wins ↑
178.1
65.9
Would win
Highest peakm · Higher wins ↑
3,002
3,008
Would lose
Coastlinekm · Higher wins ↑
0
296
Would lose
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.4° S
1.6° N
Would lose
15
Round 15Won27 countries · 4 lives left
PolandvsUnited States
Density: 117.3 vs 34.2 per km² · Higher wins ↑
Conquered United States.
Other category comparisons 0 other winning choices
All eight categories for Poland against United States
Category
Poland
United States
Result
Areakm² · Higher wins ↑
312,685
9,833,517
Would lose
Populationpeople · Higher wins ↑
36,687,353
336,755,052
Would lose
Wealth per personint’l $ · Higher wins ↑
48,473
82,587
Would lose
Densityper km² · Higher wins ↑ · Chosen
117.3
34.2
Would win
Highest peakm · Higher wins ↑
2,499
6,190
Would lose
Coastlinekm · Higher wins ↑
440
19,924
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
39.1° N
Would lose
16
Round 16Won28 countries · 4 lives left
AndorravsEgypt
Wealth per person: 71,790 vs 18,540 int’l $ · Higher wins ↑
Conquered Egypt.
Other category comparisons 3 other winning choices
All eight categories for Andorra against Egypt
Category
Andorra
Egypt
Result
Areakm² · Higher wins ↑
468
1,001,450
Would lose
Populationpeople · Higher wins ↑
80,856
114,535,772
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
71,790
18,540
Would win
Densityper km² · Higher wins ↑
172.8
114.4
Would win
Highest peakm · Higher wins ↑
2,946
2,629
Would win
Coastlinekm · Higher wins ↑
0
2,450
Would lose
Flag colourscolours · Higher wins ↑
7
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
26.3° N
Would lose
17
Round 17Won29 countries · 4 lives left
ItalyvsNicaragua
Population: 58,984,216 vs 6,823,613 people · Higher wins ↑
Conquered Nicaragua.
Other category comparisons 5 other winning choices
All eight categories for Italy against Nicaragua
Category
Italy
Nicaragua
Result
Areakm² · Higher wins ↑
301,340
130,370
Would win
Populationpeople · Higher wins ↑ · Chosen
58,984,216
6,823,613
Would win
Wealth per personint’l $ · Higher wins ↑
60,350
8,327
Would win
Densityper km² · Higher wins ↑
195.7
52.3
Would win
Highest peakm · Higher wins ↑
4,748
2,085
Would win
Coastlinekm · Higher wins ↑
7,600
910
Would win
Flag colourscolours · Higher wins ↑
3
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
12.6° N
Would lose
18
Round 18Won30 countries · 4 lives left
SwitzerlandvsOman
Wealth per person: 93,940 vs 41,980 int’l $ · Higher wins ↑
Conquered Oman.
Other category comparisons 3 other winning choices
All eight categories for Switzerland against Oman
Category
Switzerland
Oman
Result
Areakm² · Higher wins ↑
41,277
309,500
Would lose
Populationpeople · Higher wins ↑
8,888,822
5,049,269
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
41,980
Would win
Densityper km² · Higher wins ↑
215.3
16.3
Would win
Highest peakm · Higher wins ↑
4,634
3,004
Would win
Coastlinekm · Higher wins ↑
0
2,092
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
22.1° N
Would lose
19
Round 19Won31 countries · 4 lives left
South AfricavsEthiopia
Coastline: 2,798 vs 0 km · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 3 other winning choices
All eight categories for South Africa against Ethiopia
Category
South Africa
Ethiopia
Result
Areakm² · Higher wins ↑
1,219,090
1,104,300
Would win
Populationpeople · Higher wins ↑
63,212,384
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑
15,212
3,063
Would win
Densityper km² · Higher wins ↑
51.9
116.5
Would lose
Highest peakm · Higher wins ↑
3,450
4,550
Would lose
Coastlinekm · Higher wins ↑ · Chosen
2,798
0
Would win
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.2° S
8.5° N
Would lose
20
Round 20Won32 countries · 4 lives left
BrazilvsNorway
Population: 211,140,729 vs 5,519,601 people · Higher wins ↑
Conquered Norway.
Other category comparisons 5 other winning choices
All eight categories for Brazil against Norway
Category
Brazil
Norway
Result
Areakm² · Higher wins ↑
8,515,770
323,802
Would win
Populationpeople · Higher wins ↑ · Chosen
211,140,729
5,519,601
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
107,768
Would lose
Densityper km² · Higher wins ↑
24.8
17.0
Would win
Highest peakm · Higher wins ↑
2,994
2,469
Would win
Coastlinekm · Higher wins ↑
7,491
25,148
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Algeriavs
Malawi
Poland
Andorra
Italy
Switzerland
South Africa
Brazil
Ukraine
Bangladesh
Lithuania
Czechia
Eritrea
Iceland
Denmark
Kuwait
South Korea
Sierra Leone
Papua New Guinea
Palestine
Chile
Bulgaria
Liberia
Angola
Senegal
Equatorial Guinea
United States
Egypt
Nicaragua
Oman
Ethiopia
Norway