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Untimed expedition · Data edition 01051846d672
46Wins
2Losses
1Ties
Explore the final empire · 57 countries
No countries match your search.
The path through the world
One choice at a time.
49 rounds
Where it began · 12 countries
Mongolia · Ukraine · Timor-Leste · Denmark · Liberia · Ireland · Sierra Leone · Turkmenistan · South Africa · Peru · Guinea-Bissau · Nigeria
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
LiberiavsPakistan
Proximity to equator: 7.0° N vs 27.8° N from the equator · Closer wins ↓
Conquered Pakistan.
Other category comparisons 1 other winning choice
All eight categories for Liberia against Pakistan
Category
Liberia
Pakistan
Result
Areakm² · Higher wins ↑
111,369
796,095
Would lose
Populationpeople · Higher wins ↑
5,493,031
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
6,019
Would lose
Densityper km² · Higher wins ↑
49.3
310.9
Would lose
Highest peakm · Higher wins ↑
1,447
8,611
Would lose
Coastlinekm · Higher wins ↑
579
1,046
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
27.8° N
Would win
22
Round 22Won34 countries · 4 lives left
Saudi ArabiavsBelgium
Area: 2,149,690 vs 30,528 km² · Higher wins ↑
Conquered Belgium.
Other category comparisons 4 other winning choices
All eight categories for Saudi Arabia against Belgium
Category
Saudi Arabia
Belgium
Result
Areakm² · Higher wins ↑ · Chosen
2,149,690
30,528
Would win
Populationpeople · Higher wins ↑
33,702,731
11,779,946
Would win
Wealth per personint’l $ · Higher wins ↑
71,624
72,630
Would lose
Densityper km² · Higher wins ↑
15.7
385.9
Would lose
Highest peakm · Higher wins ↑
3,000
694
Would win
Coastlinekm · Higher wins ↑
2,640
66.5
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
50.8° N
Would win
23
Round 23Won35 countries · 4 lives left
IrelandvsSudan
Wealth per person: 133,440 vs 2,423 int’l $ · Higher wins ↑
Conquered Sudan.
Other category comparisons 2 other winning choices
All eight categories for Ireland against Sudan
Category
Ireland
Sudan
Result
Areakm² · Higher wins ↑
70,273
1,861,484
Would lose
Populationpeople · Higher wins ↑
5,311,538
50,042,791
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
133,440
2,423
Would win
Densityper km² · Higher wins ↑
75.6
26.9
Would win
Highest peakm · Higher wins ↑
1,041
3,042
Would lose
Coastlinekm · Higher wins ↑
1,448
853
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
16.6° N
Would lose
24
Round 24Won36 countries · 4 lives left
BeninvsZimbabwe
Proximity to equator: 10.4° N vs 19.0° S from the equator · Closer wins ↓
Conquered Zimbabwe.
Other category comparisons 2 other winning choices
All eight categories for Benin against Zimbabwe
Category
Benin
Zimbabwe
Result
Areakm² · Higher wins ↑
112,622
390,757
Would lose
Populationpeople · Higher wins ↑
14,111,034
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑
4,133
5,796
Would lose
Densityper km² · Higher wins ↑
125.3
41.8
Would win
Highest peakm · Higher wins ↑
675
2,592
Would lose
Coastlinekm · Higher wins ↑
121
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.4° N
19.0° S
Would win
25
Round 25Won37 countries · 4 lives left
Sierra LeonevsLesotho
Coastline: 402 vs 0 km · Higher wins ↑
Conquered Lesotho.
Other category comparisons 5 other winning choices
All eight categories for Sierra Leone against Lesotho
Category
Sierra Leone
Lesotho
Result
Areakm² · Higher wins ↑
71,740
30,355
Would win
Populationpeople · Higher wins ↑
8,460,512
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
3,371
2,880
Would win
Densityper km² · Higher wins ↑
117.9
76.1
Would win
Highest peakm · Higher wins ↑
1,948
3,482
Would lose
Coastlinekm · Higher wins ↑ · Chosen
402
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.7° N
29.4° S
Would win
26
Round 26Won38 countries · 4 lives left
BulgariavsCentral African Republic
Wealth per person: 38,829 vs 1,258 int’l $ · Higher wins ↑
Conquered Central African Republic.
Other category comparisons 4 other winning choices
All eight categories for Bulgaria against Central African Republic
Category
Bulgaria
Central African Republic
Result
Areakm² · Higher wins ↑
110,879
622,984
Would lose
Populationpeople · Higher wins ↑
6,446,596
5,152,421
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
38,829
1,258
Would win
Densityper km² · Higher wins ↑
58.1
8.3
Would win
Highest peakm · Higher wins ↑
2,925
1,410
Would win
Coastlinekm · Higher wins ↑
354
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
7.0° N
Would lose
27
Round 27Won39 countries · 4 lives left
TurkmenistanvsNamibia
Highest peak: 3,139 vs 2,573 m · Higher wins ↑
Conquered Namibia.
Other category comparisons 3 other winning choices
All eight categories for Turkmenistan against Namibia
Category
Turkmenistan
Namibia
Result
Areakm² · Higher wins ↑
488,100
824,292
Would lose
Populationpeople · Higher wins ↑
7,364,438
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
19,645
11,248
Would win
Densityper km² · Higher wins ↑
15.1
3.6
Would win
Highest peakm · Higher wins ↑ · Chosen
3,139
2,573
Would win
Coastlinekm · Higher wins ↑
0
1,572
Would lose
Flag colourscolours · Higher wins ↑
5
5
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
20.6° S
Would lose
28
Round 28Won40 countries · 4 lives left
FrancevsThailand
Wealth per person: 60,927 vs 23,598 int’l $ · Higher wins ↑
Conquered Thailand.
Other category comparisons 3 other winning choices
All eight categories for France against Thailand
Category
France
Thailand
Result
Areakm² · Higher wins ↑
551,500
513,120
Would win
Populationpeople · Higher wins ↑
65,925,961
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,927
23,598
Would win
Densityper km² · Higher wins ↑
119.5
139.7
Would lose
Highest peakm · Higher wins ↑
4,810
2,565
Would win
Coastlinekm · Higher wins ↑
3,427
3,219
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
15.5° N
Would lose
29
Round 29Won41 countries · 4 lives left
South AfricavsMalaysia
Population: 63,212,384 vs 35,126,298 people · Higher wins ↑
Conquered Malaysia.
Other category comparisons 2 other winning choices
All eight categories for South Africa against Malaysia
Category
South Africa
Malaysia
Result
Areakm² · Higher wins ↑
1,219,090
329,847
Would win
Populationpeople · Higher wins ↑ · Chosen
63,212,384
35,126,298
Would win
Wealth per personint’l $ · Higher wins ↑
15,212
36,497
Would lose
Densityper km² · Higher wins ↑
51.9
106.5
Would lose
Highest peakm · Higher wins ↑
3,450
4,095
Would lose
Coastlinekm · Higher wins ↑
2,798
4,675
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.2° S
4.4° N
Would lose
30
Round 30Won42 countries · 4 lives left
NigervsSpain
Area: 1,267,000 vs 505,370 km² · Higher wins ↑
Conquered Spain.
Other category comparisons 1 other winning choice
All eight categories for Niger against Spain
Category
Niger
Spain
Result
Areakm² · Higher wins ↑ · Chosen
1,267,000
505,370
Would win
Populationpeople · Higher wins ↑
26,159,867
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑
1,903
55,661
Would lose
Densityper km² · Higher wins ↑
20.6
95.7
Would lose
Highest peakm · Higher wins ↑
2,022
3,718
Would lose
Coastlinekm · Higher wins ↑
0
4,964
Would lose
Flag colourscolours · Higher wins ↑
3
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
17.6° N
40.0° N
Would win
31
Round 31Won43 countries · 4 lives left
PeruvsDominican Republic
Area: 1,285,216 vs 48,670 km² · Higher wins ↑
Conquered Dominican Republic.
Other category comparisons 4 other winning choices
All eight categories for Peru against Dominican Republic
Category
Peru
Dominican Republic
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
48,670
Would win
Populationpeople · Higher wins ↑
33,845,617
11,331,265
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
25,861
Would lose
Densityper km² · Higher wins ↑
26.3
232.8
Would lose
Highest peakm · Higher wins ↑
6,746
3,098
Would win
Coastlinekm · Higher wins ↑
2,414
1,288
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
19.1° N
Would win
32
Round 32Won44 countries · 4 lives left
BotswanavsGreece
Proximity to equator: 22.1° S vs 39.8° N from the equator · Closer wins ↓
Conquered Greece.
Other category comparisons 2 other winning choices
All eight categories for Botswana against Greece
Category
Botswana
Greece
Result
Areakm² · Higher wins ↑
581,730
131,957
Would win
Populationpeople · Higher wins ↑
2,480,244
10,407,351
Would lose
Wealth per personint’l $ · Higher wins ↑
21,029
42,614
Would lose
Densityper km² · Higher wins ↑
4.3
78.9
Would lose
Highest peakm · Higher wins ↑
1,495
2,917
Would lose
Coastlinekm · Higher wins ↑
0
13,676
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
22.1° S
39.8° N
Would win
33
Round 33Won45 countries · 4 lives left
Guinea-BissauvsNew Zealand
Proximity to equator: 12.1° N vs 45.3° S from the equator · Closer wins ↓
Conquered New Zealand.
Other category comparisons 2 other winning choices
All eight categories for Guinea-Bissau against New Zealand
Category
Guinea-Bissau
New Zealand
Result
Areakm² · Higher wins ↑
36,125
268,838
Would lose
Populationpeople · Higher wins ↑
2,153,339
5,200,000
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
54,950
Would lose
Densityper km² · Higher wins ↑
59.6
19.3
Would win
Highest peakm · Higher wins ↑
277
3,724
Would lose
Coastlinekm · Higher wins ↑
350
15,134
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
45.3° S
Would win
34
Round 34Won46 countries · 4 lives left
SlovakiavsBurkina Faso
Wealth per person: 45,865 vs 2,762 int’l $ · Higher wins ↑
Conquered Burkina Faso.
Other category comparisons 2 other winning choices
All eight categories for Slovakia against Burkina Faso
Category
Slovakia
Burkina Faso
Result
Areakm² · Higher wins ↑
49,035
274,200
Would lose
Populationpeople · Higher wins ↑
5,426,740
23,025,776
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
45,865
2,762
Would win
Densityper km² · Higher wins ↑
110.7
84.0
Would win
Highest peakm · Higher wins ↑
2,655
749
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
48.7° N
12.8° N
Would lose
35
Round 35Won47 countries · 4 lives left
NigeriavsEswatini
Population: 227,882,945 vs 1,230,506 people · Higher wins ↑
Conquered Eswatini.
Other category comparisons 5 other winning choices
All eight categories for Nigeria against Eswatini
Category
Nigeria
Eswatini
Result
Areakm² · Higher wins ↑
923,768
17,364
Would win
Populationpeople · Higher wins ↑ · Chosen
227,882,945
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
11,309
Would lose
Densityper km² · Higher wins ↑
246.7
70.9
Would win
Highest peakm · Higher wins ↑
2,419
1,862
Would win
Coastlinekm · Higher wins ↑
853
0
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
26.6° S
Would win
36
Round 36Won48 countries · 4 lives left
JamaicavsIndia
Wealth per person: 12,661 vs 9,853 int’l $ · Higher wins ↑
Conquered India.
Other category comparisons 1 other winning choice
All eight categories for Jamaica against India
Category
Jamaica
India
Result
Areakm² · Higher wins ↑
10,991
3,287,263
Would lose
Populationpeople · Higher wins ↑
2,839,786
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
12,661
9,853
Would win
Densityper km² · Higher wins ↑
258.4
437.5
Would lose
Highest peakm · Higher wins ↑
2,256
8,586
Would lose
Coastlinekm · Higher wins ↑
1,022
7,000
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
18.1° N
22.4° N
Would win
37
Round 37Won49 countries · 4 lives left
MongoliavsMali
Highest peak: 4,374 vs 1,155 m · Higher wins ↑
Conquered Mali.
Other category comparisons 2 other winning choices
All eight categories for Mongolia against Mali
Category
Mongolia
Mali
Result
Areakm² · Higher wins ↑
1,564,116
1,240,192
Would win
Populationpeople · Higher wins ↑
3,481,145
23,769,127
Would lose
Wealth per personint’l $ · Higher wins ↑
18,020
3,178
Would win
Densityper km² · Higher wins ↑
2.2
19.2
Would lose
Highest peakm · Higher wins ↑ · Chosen
4,374
1,155
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
18.6° N
Would lose
38
Round 38Won50 countries · 4 lives left
NicaraguavsItaly
Flag colours: 10 vs 3 colours · Higher wins ↑
Conquered Italy.
Other category comparisons 1 other winning choice
All eight categories for Nicaragua against Italy
Category
Nicaragua
Italy
Result
Areakm² · Higher wins ↑
130,370
301,340
Would lose
Populationpeople · Higher wins ↑
6,823,613
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
8,327
60,350
Would lose
Densityper km² · Higher wins ↑
52.3
195.7
Would lose
Highest peakm · Higher wins ↑
2,085
4,748
Would lose
Coastlinekm · Higher wins ↑
910
7,600
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
45.1° N
Would win
39
Round 39Won51 countries · 4 lives left
AustraliavsKazakhstan
Area: 7,741,220 vs 2,724,900 km² · Higher wins ↑
Conquered Kazakhstan.
Other category comparisons 5 other winning choices
All eight categories for Australia against Kazakhstan
Category
Australia
Kazakhstan
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
2,724,900
Would win
Populationpeople · Higher wins ↑
26,659,922
20,330,104
Would win
Wealth per personint’l $ · Higher wins ↑
72,273
38,547
Would win
Densityper km² · Higher wins ↑
3.4
7.5
Would lose
Highest peakm · Higher wins ↑
2,228
7,010
Would lose
Coastlinekm · Higher wins ↑
25,760
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
48.5° N
Would win
40
Round 40Won52 countries · 4 lives left
North KoreavsTrinidad and Tobago
Population: 26,418,204 vs 1,367,510 people · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 3 other winning choices
All eight categories for North Korea against Trinidad and Tobago
Category
North Korea
Trinidad and Tobago
Result
Areakm² · Higher wins ↑
120,538
5,128
Would win
Populationpeople · Higher wins ↑ · Chosen
26,418,204
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
34,652
Unavailable
Densityper km² · Higher wins ↑
219.2
266.7
Would lose
Highest peakm · Higher wins ↑
2,744
940
Would win
Coastlinekm · Higher wins ↑
2,495
362
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Liberiavs
Pakistan
Saudi Arabia
Belgium
Ireland
Sudan
Benin
Zimbabwe
Sierra Leone
Lesotho
Bulgaria
Central African Republic
Turkmenistan
Namibia
France
Thailand
South Africa
Malaysia
Niger
Spain
Peru
Dominican Republic
Botswana
Greece
Guinea-Bissau
New Zealand
Slovakia
Burkina Faso
Nigeria
Eswatini
Jamaica
India
Mongolia
Mali
Nicaragua
Italy
Australia
Kazakhstan
North Korea
Trinidad and Tobago