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Untimed expedition · Data edition 01051846d672
55Wins
4Losses
1Ties
Explore the final empire · 64 countries
No countries match your search.
The path through the world
One choice at a time.
60 rounds
Where it began · 12 countries
Papua New Guinea · Pakistan · Belgium · Moldova · Burkina Faso · Myanmar · Costa Rica · Portugal · Malaysia · United Arab Emirates · Benin · Tunisia
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
41
Round 41Won49 countries · 2 lives left
PakistanvsCuba
Population: 247,504,495 vs 11,019,931 people · Higher wins ↑
Conquered Cuba.
Other category comparisons 3 other winning choices
All eight categories for Pakistan against Cuba
Category
Pakistan
Cuba
Result
Areakm² · Higher wins ↑
796,095
110,860
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
11,019,931
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
6,019
Unavailable
Unavailable
Densityper km² · Higher wins ↑
310.9
99.4
Would win
Highest peakm · Higher wins ↑
8,611
1,974
Would win
Coastlinekm · Higher wins ↑
1,046
3,735
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
20.6° N
Would lose
42
Round 42Won50 countries · 2 lives left
ParaguayvsHonduras
Area: 406,752 vs 112,090 km² · Higher wins ↑
Conquered Honduras.
Other category comparisons 2 other winning choices
All eight categories for Paraguay against Honduras
Category
Paraguay
Honduras
Result
Areakm² · Higher wins ↑ · Chosen
406,752
112,090
Would win
Populationpeople · Higher wins ↑
6,844,146
10,644,851
Would lose
Wealth per personint’l $ · Higher wins ↑
17,585
7,184
Would win
Densityper km² · Higher wins ↑
16.8
95.0
Would lose
Highest peakm · Higher wins ↑
842
2,870
Would lose
Coastlinekm · Higher wins ↑
0
823
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° S
14.7° N
Would lose
43
Round 43Lost49 countries · 1 life left
UgandavsColombia
Population: 48,656,601 vs 52,321,152 people · Higher wins ↑
Returned to the world: Uganda.
Other category comparisons 3 other winning choices
All eight categories for Uganda against Colombia
Category
Uganda
Colombia
Result
Areakm² · Higher wins ↑
241,038
1,138,910
Would lose
Populationpeople · Higher wins ↑ · Chosen
48,656,601
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑
3,100
21,282
Would lose
Densityper km² · Higher wins ↑
201.9
45.9
Would win
Highest peakm · Higher wins ↑
5,110
5,730
Would lose
Coastlinekm · Higher wins ↑
0
3,208
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.0° N
3.4° N
Would win
44
Round 44Won50 countries · 1 life left
ChadvsMongolia
Proximity to equator: 17.3° N vs 46.0° N from the equator · Closer wins ↓
Conquered Mongolia.
Other category comparisons 2 other winning choices
All eight categories for Chad against Mongolia
Category
Chad
Mongolia
Result
Areakm² · Higher wins ↑
1,284,000
1,564,116
Would lose
Populationpeople · Higher wins ↑
19,319,064
3,481,145
Would win
Wealth per personint’l $ · Higher wins ↑
2,703
18,020
Would lose
Densityper km² · Higher wins ↑
15.0
2.2
Would win
Highest peakm · Higher wins ↑
3,445
4,374
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
17.3° N
46.0° N
Would win
45
Round 45Won51 countries · 1 life left
BelgiumvsThailand
Wealth per person: 72,630 vs 23,598 int’l $ · Higher wins ↑
Conquered Thailand.
Other category comparisons 1 other winning choice
All eight categories for Belgium against Thailand
Category
Belgium
Thailand
Result
Areakm² · Higher wins ↑
30,528
513,120
Would lose
Populationpeople · Higher wins ↑
11,779,946
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,630
23,598
Would win
Densityper km² · Higher wins ↑
385.9
139.7
Would win
Highest peakm · Higher wins ↑
694
2,565
Would lose
Coastlinekm · Higher wins ↑
66.5
3,219
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
50.8° N
15.5° N
Would lose
46
Round 46Won52 countries · 1 life left
BhutanvsCabo Verde
Highest peak: 7,570 vs 2,829 m · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 3 other winning choices
All eight categories for Bhutan against Cabo Verde
Category
Bhutan
Cabo Verde
Result
Areakm² · Higher wins ↑
38,394
4,033
Would win
Populationpeople · Higher wins ↑
786,385
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
16,229
10,251
Would win
Densityper km² · Higher wins ↑
20.5
129.5
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
2,829
Would win
Coastlinekm · Higher wins ↑
0
965
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
15.0° N
Would lose
47
Round 47Won53 countries · 1 life left
BrazilvsNigeria
Area: 8,515,770 vs 923,768 km² · Higher wins ↑
Conquered Nigeria.
Other category comparisons 4 other winning choices
All eight categories for Brazil against Nigeria
Category
Brazil
Nigeria
Result
Areakm² · Higher wins ↑ · Chosen
8,515,770
923,768
Would win
Populationpeople · Higher wins ↑
211,140,729
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑
21,193
8,712
Would win
Densityper km² · Higher wins ↑
24.8
246.7
Would lose
Highest peakm · Higher wins ↑
2,994
2,419
Would win
Coastlinekm · Higher wins ↑
7,491
853
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
9.4° N
Would lose
48
Round 48Won54 countries · 1 life left
North KoreavsTimor-Leste
Population: 26,418,204 vs 1,384,286 people · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 3 other winning choices
All eight categories for North Korea against Timor-Leste
Category
North Korea
Timor-Leste
Result
Areakm² · Higher wins ↑
120,538
14,874
Would win
Populationpeople · Higher wins ↑ · Chosen
26,418,204
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
4,811
Unavailable
Densityper km² · Higher wins ↑
219.2
93.1
Would win
Highest peakm · Higher wins ↑
2,744
2,963
Would lose
Coastlinekm · Higher wins ↑
2,495
706
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
8.9° S
Would lose
49
Round 49Won55 countries · 1 life left
MoldovavsGuinea
Wealth per person: 17,751 vs 4,337 int’l $ · Higher wins ↑
Conquered Guinea.
Other category comparisons 2 other winning choices
All eight categories for Moldova against Guinea
Category
Moldova
Guinea
Result
Areakm² · Higher wins ↑
33,851
245,857
Would lose
Populationpeople · Higher wins ↑
2,457,783
14,405,468
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,751
4,337
Would win
Densityper km² · Higher wins ↑
72.6
58.6
Would win
Highest peakm · Higher wins ↑
430
1,752
Would lose
Coastlinekm · Higher wins ↑
0
320
Would lose
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
10.7° N
Would lose
50
Round 50Won56 countries · 1 life left
KenyavsLebanon
Population: 55,339,003 vs 5,773,493 people · Higher wins ↑
Conquered Lebanon.
Other category comparisons 5 other winning choices
All eight categories for Kenya against Lebanon
Category
Kenya
Lebanon
Result
Areakm² · Higher wins ↑
580,367
10,400
Would win
Populationpeople · Higher wins ↑ · Chosen
55,339,003
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
6,322
12,585
Would lose
Densityper km² · Higher wins ↑
95.4
555.1
Would lose
Highest peakm · Higher wins ↑
5,199
3,088
Would win
Coastlinekm · Higher wins ↑
536
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
0.4° N
34.2° N
Would win
51
Round 51Won57 countries · 1 life left
MauritaniavsQatar
Area: 1,030,700 vs 11,586 km² · Higher wins ↑
Conquered Qatar.
Other category comparisons 5 other winning choices
All eight categories for Mauritania against Qatar
Category
Mauritania
Qatar
Result
Areakm² · Higher wins ↑ · Chosen
1,030,700
11,586
Would win
Populationpeople · Higher wins ↑
5,022,441
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑
6,972
129,025
Would lose
Densityper km² · Higher wins ↑
4.9
229.2
Would lose
Highest peakm · Higher wins ↑
915
103
Would win
Coastlinekm · Higher wins ↑
754
563
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
25.1° N
Would win
52
Round 52Won58 countries · 1 life left
ChilevsCroatia
Proximity to equator: 23.4° S vs 45.8° N from the equator · Closer wins ↓
Conquered Croatia.
Other category comparisons 4 other winning choices
All eight categories for Chile against Croatia
Category
Chile
Croatia
Result
Areakm² · Higher wins ↑
756,102
56,594
Would win
Populationpeople · Higher wins ↑
19,658,835
3,859,686
Would win
Wealth per personint’l $ · Higher wins ↑
33,174
47,760
Would lose
Densityper km² · Higher wins ↑
26.0
68.2
Would lose
Highest peakm · Higher wins ↑
6,893
1,831
Would win
Coastlinekm · Higher wins ↑
6,435
5,835
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
23.4° S
45.8° N
Would win
53
Round 53Won59 countries · 1 life left
AustriavsAngola
Wealth per person: 74,261 vs 9,550 int’l $ · Higher wins ↑
Conquered Angola.
Other category comparisons 2 other winning choices
All eight categories for Austria against Angola
Category
Austria
Angola
Result
Areakm² · Higher wins ↑
83,871
1,246,700
Would lose
Populationpeople · Higher wins ↑
9,131,761
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
74,261
9,550
Would win
Densityper km² · Higher wins ↑
108.9
29.5
Would win
Highest peakm · Higher wins ↑
3,798
2,620
Would win
Coastlinekm · Higher wins ↑
0
1,600
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
13.2° S
Would lose
54
Round 54Won60 countries · 1 life left
GabonvsBelarus
Proximity to equator: 0.6° S vs 53.8° N from the equator · Closer wins ↓
Conquered Belarus.
Other category comparisons 3 other winning choices
All eight categories for Gabon against Belarus
Category
Gabon
Belarus
Result
Areakm² · Higher wins ↑
267,667
207,600
Would win
Populationpeople · Higher wins ↑
2,484,789
9,178,298
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
30,860
Would lose
Densityper km² · Higher wins ↑
9.3
44.2
Would lose
Highest peakm · Higher wins ↑
1,050
346
Would win
Coastlinekm · Higher wins ↑
885
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
53.8° N
Would win
55
Round 55Won61 countries · 1 life left
MyanmarvsBelize
Population: 54,133,798 vs 411,106 people · Higher wins ↑
Conquered Belize.
Other category comparisons 4 other winning choices
All eight categories for Myanmar against Belize
Category
Myanmar
Belize
Result
Areakm² · Higher wins ↑
676,578
22,966
Would win
Populationpeople · Higher wins ↑ · Chosen
54,133,798
411,106
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
13,741
Would lose
Densityper km² · Higher wins ↑
80.0
17.9
Would win
Highest peakm · Higher wins ↑
5,870
1,124
Would win
Coastlinekm · Higher wins ↑
1,930
386
Would win
Flag colourscolours · Higher wins ↑
4
12
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
17.0° N
Would lose
56
Round 56Won62 countries · 1 life left
RomaniavsSwitzerland
Population: 19,061,062 vs 8,888,822 people · Higher wins ↑
Conquered Switzerland.
Other category comparisons 4 other winning choices
All eight categories for Romania against Switzerland
Category
Romania
Switzerland
Result
Areakm² · Higher wins ↑
238,391
41,277
Would win
Populationpeople · Higher wins ↑ · Chosen
19,061,062
8,888,822
Would win
Wealth per personint’l $ · Higher wins ↑
45,982
93,940
Would lose
Densityper km² · Higher wins ↑
80.0
215.3
Would lose
Highest peakm · Higher wins ↑
2,544
4,634
Would lose
Coastlinekm · Higher wins ↑
225
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.7° N
46.7° N
Would win
57
Round 57Won63 countries · 1 life left
SudanvsDenmark
Area: 1,861,484 vs 43,094 km² · Higher wins ↑
Conquered Denmark.
Other category comparisons 4 other winning choices
All eight categories for Sudan against Denmark
Category
Sudan
Denmark
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
43,094
Would win
Populationpeople · Higher wins ↑
50,042,791
5,946,952
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
77,425
Would lose
Densityper km² · Higher wins ↑
26.9
138.0
Would lose
Highest peakm · Higher wins ↑
3,042
171
Would win
Coastlinekm · Higher wins ↑
853
7,314
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
55.9° N
Would win
58
Round 58Won64 countries · 1 life left
PalestinevsLaos
Density: 830.5 vs 32.4 per km² · Higher wins ↑
Conquered Laos.
Other category comparisons 2 other winning choices
All eight categories for Palestine against Laos
Category
Palestine
Laos
Result
Areakm² · Higher wins ↑
6,220
236,800
Would lose
Populationpeople · Higher wins ↑
5,165,775
7,664,993
Would lose
Wealth per personint’l $ · Higher wins ↑
6,179
9,299
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
32.4
Would win
Highest peakm · Higher wins ↑
1,020
2,817
Would lose
Coastlinekm · Higher wins ↑
40
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
19.6° N
Would lose
59
Round 59Won65 countries · 1 life left
Costa RicavsFrance
Proximity to equator: 10.1° N vs 46.7° N from the equator · Closer wins ↓
Conquered France.
Other category comparisons 0 other winning choices
All eight categories for Costa Rica against France
Category
Costa Rica
France
Result
Areakm² · Higher wins ↑
51,100
551,500
Would lose
Populationpeople · Higher wins ↑
5,105,525
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
29,248
60,927
Would lose
Densityper km² · Higher wins ↑
99.9
119.5
Would lose
Highest peakm · Higher wins ↑
3,819
4,810
Would lose
Coastlinekm · Higher wins ↑
1,290
3,427
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.1° N
46.7° N
Would win
60
Round 60Lost64 countries · 0 lives left
SyriavsPhilippines
Area: 187,437 vs 300,000 km² · Higher wins ↑
Returned to the world: Syria.
Other category comparisons 0 other winning choices
All eight categories for Syria against Philippines
Category
Syria
Philippines
Result
Areakm² · Higher wins ↑ · Chosen
187,437
300,000
Would lose
Populationpeople · Higher wins ↑
23,594,623
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
10,995
Unavailable
Densityper km² · Higher wins ↑
125.9
383.0
Would lose
Highest peakm · Higher wins ↑
2,814
2,954
Would lose
Coastlinekm · Higher wins ↑
193
36,289
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Pakistanvs
Cuba
Paraguay
Honduras
Uganda
Colombia
Chad
Mongolia
Belgium
Thailand
Bhutan
Cabo Verde
Brazil
Nigeria
North Korea
Timor-Leste
Moldova
Guinea
Kenya
Lebanon
Mauritania
Qatar
Chile
Croatia
Austria
Angola
Gabon
Belarus
Myanmar
Belize
Romania
Switzerland
Sudan
Denmark
Palestine
Laos
Costa Rica
France
Syria
Philippines