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Untimed expedition · Data edition 01051846d672
142Wins
4Losses
3Ties
Explore the final empire · 152 countries
No countries match your search.
The path through the world
One choice at a time.
149 rounds
Where it began · 12 countries
Czechia · Mali · Central African Republic · Vietnam · Benin · Equatorial Guinea · Bahamas · Fiji · Cyprus · Oman · North Macedonia · Syria
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
CzechiavsThailand
Wealth per person: 56,062 vs 23,598 int’l $ · Higher wins ↑
Conquered Thailand.
Other category comparisons 0 other winning choices
All eight categories for Czechia against Thailand
Category
Czechia
Thailand
Result
Areakm² · Higher wins ↑
78,867
513,120
Would lose
Populationpeople · Higher wins ↑
10,864,042
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
23,598
Would win
Densityper km² · Higher wins ↑
137.8
139.7
Would lose
Highest peakm · Higher wins ↑
1,602
2,565
Would lose
Coastlinekm · Higher wins ↑
0
3,219
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
15.5° N
Would lose
2
Round 2Won14 countries · 4 lives left
MalivsCuba
Area: 1,240,192 vs 110,860 km² · Higher wins ↑
Conquered Cuba.
Other category comparisons 2 other winning choices
All eight categories for Mali against Cuba
Category
Mali
Cuba
Result
Areakm² · Higher wins ↑ · Chosen
1,240,192
110,860
Would win
Populationpeople · Higher wins ↑
23,769,127
11,019,931
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
3,178
Unavailable
Unavailable
Densityper km² · Higher wins ↑
19.2
99.4
Would lose
Highest peakm · Higher wins ↑
1,155
1,974
Would lose
Coastlinekm · Higher wins ↑
0
3,735
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
18.6° N
20.6° N
Would win
3
Round 3Won15 countries · 4 lives left
Central African RepublicvsSingapore
Area: 622,984 vs 719 km² · Higher wins ↑
Conquered Singapore.
Other category comparisons 2 other winning choices
All eight categories for Central African Republic against Singapore
Category
Central African Republic
Singapore
Result
Areakm² · Higher wins ↑ · Chosen
622,984
719
Would win
Populationpeople · Higher wins ↑
5,152,421
5,917,648
Would lose
Wealth per personint’l $ · Higher wins ↑
1,258
144,728
Would lose
Densityper km² · Higher wins ↑
8.3
8,230.4
Would lose
Highest peakm · Higher wins ↑
1,410
166
Would win
Coastlinekm · Higher wins ↑
0
193
Would lose
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
1.4° N
Would lose
4
Round 4Won16 countries · 4 lives left
VietnamvsGabon
Population: 100,352,192 vs 2,484,789 people · Higher wins ↑
Conquered Gabon.
Other category comparisons 4 other winning choices
All eight categories for Vietnam against Gabon
Category
Vietnam
Gabon
Result
Areakm² · Higher wins ↑
331,210
267,667
Would win
Populationpeople · Higher wins ↑ · Chosen
100,352,192
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
20,773
Would lose
Densityper km² · Higher wins ↑
303.0
9.3
Would win
Highest peakm · Higher wins ↑
3,144
1,050
Would win
Coastlinekm · Higher wins ↑
3,444
885
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
0.6° S
Would lose
5
Round 5Won17 countries · 4 lives left
BeninvsBulgaria
Proximity to equator: 10.4° N vs 42.5° N from the equator · Closer wins ↓
Conquered Bulgaria.
Other category comparisons 3 other winning choices
All eight categories for Benin against Bulgaria
Category
Benin
Bulgaria
Result
Areakm² · Higher wins ↑
112,622
110,879
Would win
Populationpeople · Higher wins ↑
14,111,034
6,446,596
Would win
Wealth per personint’l $ · Higher wins ↑
4,133
38,829
Would lose
Densityper km² · Higher wins ↑
125.3
58.1
Would win
Highest peakm · Higher wins ↑
675
2,925
Would lose
Coastlinekm · Higher wins ↑
121
354
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.4° N
42.5° N
Would win
6
Round 6Won18 countries · 4 lives left
Equatorial GuineavsPhilippines
Proximity to equator: 1.6° N vs 17.0° N from the equator · Closer wins ↓
Conquered Philippines.
Other category comparisons 3 other winning choices
All eight categories for Equatorial Guinea against Philippines
Category
Equatorial Guinea
Philippines
Result
Areakm² · Higher wins ↑
28,051
300,000
Would lose
Populationpeople · Higher wins ↑
1,847,549
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
10,995
Would win
Densityper km² · Higher wins ↑
65.9
383.0
Would lose
Highest peakm · Higher wins ↑
3,008
2,954
Would win
Coastlinekm · Higher wins ↑
296
36,289
Would lose
Flag colourscolours · Higher wins ↑
8
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
17.0° N
Would win
7
Round 7Won19 countries · 4 lives left
BahamasvsUnited Kingdom
Proximity to equator: 24.7° N vs 52.5° N from the equator · Closer wins ↓
Conquered United Kingdom.
Other category comparisons 0 other winning choices
All eight categories for Bahamas against United Kingdom
Category
Bahamas
United Kingdom
Result
Areakm² · Higher wins ↑
13,880
243,610
Would lose
Populationpeople · Higher wins ↑
399,440
68,526,000
Would lose
Wealth per personint’l $ · Higher wins ↑
39,122
60,787
Would lose
Densityper km² · Higher wins ↑
28.8
281.3
Would lose
Highest peakm · Higher wins ↑
64
1,345
Would lose
Coastlinekm · Higher wins ↑
3,542
12,429
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
24.7° N
52.5° N
Would win
8
Round 8Won20 countries · 4 lives left
FijivsPoland
Flag colours: 8 vs 2 colours · Higher wins ↑
Conquered Poland.
Other category comparisons 2 other winning choices
All eight categories for Fiji against Poland
Category
Fiji
Poland
Result
Areakm² · Higher wins ↑
18,274
312,685
Would lose
Populationpeople · Higher wins ↑
924,145
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
48,473
Would lose
Densityper km² · Higher wins ↑
50.6
117.3
Would lose
Highest peakm · Higher wins ↑
1,324
2,499
Would lose
Coastlinekm · Higher wins ↑
1,129
440
Would win
Flag colourscolours · Higher wins ↑ · Chosen
8
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.8° S
51.9° N
Would win
9
Round 9Won21 countries · 4 lives left
CyprusvsPortugal
Density: 145.4 vs 114.9 per km² · Higher wins ↑
Conquered Portugal.
Other category comparisons 2 other winning choices
All eight categories for Cyprus against Portugal
Category
Cyprus
Portugal
Result
Areakm² · Higher wins ↑
9,251
92,090
Would lose
Populationpeople · Higher wins ↑
1,344,976
10,578,174
Would lose
Wealth per personint’l $ · Higher wins ↑
59,875
49,800
Would win
Densityper km² · Higher wins ↑ · Chosen
145.4
114.9
Would win
Highest peakm · Higher wins ↑
1,951
2,351
Would lose
Coastlinekm · Higher wins ↑
648
1,793
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
40.7° N
Would win
10
Round 10Won22 countries · 4 lives left
OmanvsMauritius
Population: 5,049,269 vs 1,248,647 people · Higher wins ↑
Conquered Mauritius.
Other category comparisons 4 other winning choices
All eight categories for Oman against Mauritius
Category
Oman
Mauritius
Result
Areakm² · Higher wins ↑
309,500
2,040
Would win
Populationpeople · Higher wins ↑ · Chosen
5,049,269
1,248,647
Would win
Wealth per personint’l $ · Higher wins ↑
41,980
29,403
Would win
Densityper km² · Higher wins ↑
16.3
612.1
Would lose
Highest peakm · Higher wins ↑
3,004
828
Would win
Coastlinekm · Higher wins ↑
2,092
177
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
20.3° S
Would lose
11
Round 11Won23 countries · 4 lives left
North MacedoniavsBelize
Wealth per person: 25,354 vs 13,741 int’l $ · Higher wins ↑
Conquered Belize.
Other category comparisons 4 other winning choices
All eight categories for North Macedonia against Belize
Category
North Macedonia
Belize
Result
Areakm² · Higher wins ↑
25,713
22,966
Would win
Populationpeople · Higher wins ↑
1,827,816
411,106
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,354
13,741
Would win
Densityper km² · Higher wins ↑
71.1
17.9
Would win
Highest peakm · Higher wins ↑
2,764
1,124
Would win
Coastlinekm · Higher wins ↑
0
386
Would lose
Flag colourscolours · Higher wins ↑
2
12
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
17.0° N
Would lose
12
Round 12Won24 countries · 4 lives left
SyriavsMoldova
Area: 187,437 vs 33,851 km² · Higher wins ↑
Conquered Moldova.
Other category comparisons 5 other winning choices
All eight categories for Syria against Moldova
Category
Syria
Moldova
Result
Areakm² · Higher wins ↑ · Chosen
187,437
33,851
Would win
Populationpeople · Higher wins ↑
23,594,623
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
17,751
Unavailable
Densityper km² · Higher wins ↑
125.9
72.6
Would win
Highest peakm · Higher wins ↑
2,814
430
Would win
Coastlinekm · Higher wins ↑
193
0
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.0° N
47.5° N
Would win
13
Round 13Won25 countries · 4 lives left
CzechiavsIceland
Population: 10,864,042 vs 385,663 people · Higher wins ↑
Conquered Iceland.
Other category comparisons 2 other winning choices
All eight categories for Czechia against Iceland
Category
Czechia
Iceland
Result
Areakm² · Higher wins ↑
78,867
103,000
Would lose
Populationpeople · Higher wins ↑ · Chosen
10,864,042
385,663
Would win
Wealth per personint’l $ · Higher wins ↑
56,062
82,257
Would lose
Densityper km² · Higher wins ↑
137.8
3.7
Would win
Highest peakm · Higher wins ↑
1,602
2,110
Would lose
Coastlinekm · Higher wins ↑
0
4,970
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
64.7° N
Would win
14
Round 14Won26 countries · 4 lives left
ThailandvsTunisia
Population: 71,702,435 vs 12,200,431 people · Higher wins ↑
Conquered Tunisia.
Other category comparisons 7 other winning choices
All eight categories for Thailand against Tunisia
Category
Thailand
Tunisia
Result
Areakm² · Higher wins ↑
513,120
163,610
Would win
Populationpeople · Higher wins ↑ · Chosen
71,702,435
12,200,431
Would win
Wealth per personint’l $ · Higher wins ↑
23,598
14,052
Would win
Densityper km² · Higher wins ↑
139.7
74.6
Would win
Highest peakm · Higher wins ↑
2,565
1,544
Would win
Coastlinekm · Higher wins ↑
3,219
1,148
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
35.3° N
Would win
15
Round 15Won27 countries · 4 lives left
MalivsNigeria
Area: 1,240,192 vs 923,768 km² · Higher wins ↑
Conquered Nigeria.
Other category comparisons 1 other winning choice
All eight categories for Mali against Nigeria
Category
Mali
Nigeria
Result
Areakm² · Higher wins ↑ · Chosen
1,240,192
923,768
Would win
Populationpeople · Higher wins ↑
23,769,127
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑
3,178
8,712
Would lose
Densityper km² · Higher wins ↑
19.2
246.7
Would lose
Highest peakm · Higher wins ↑
1,155
2,419
Would lose
Coastlinekm · Higher wins ↑
0
853
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
18.6° N
9.4° N
Would lose
16
Round 16Won28 countries · 4 lives left
CubavsBangladesh
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 3 other winning choices
All eight categories for Cuba against Bangladesh
Category
Cuba
Bangladesh
Result
Areakm² · Higher wins ↑
110,860
148,460
Would lose
Populationpeople · Higher wins ↑
11,019,931
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
Unavailable
9,155
Unavailable
Densityper km² · Higher wins ↑
99.4
1,155.0
Would lose
Highest peakm · Higher wins ↑
1,974
1,060
Would win
Coastlinekm · Higher wins ↑
3,735
580
Would win
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
20.6° N
24.3° N
Would win
17
Round 17Won29 countries · 4 lives left
Central African RepublicvsIreland
Proximity to equator: 7.0° N vs 53.1° N from the equator · Closer wins ↓
Conquered Ireland.
Other category comparisons 3 other winning choices
All eight categories for Central African Republic against Ireland
Category
Central African Republic
Ireland
Result
Areakm² · Higher wins ↑
622,984
70,273
Would win
Populationpeople · Higher wins ↑
5,152,421
5,311,538
Would lose
Wealth per personint’l $ · Higher wins ↑
1,258
133,440
Would lose
Densityper km² · Higher wins ↑
8.3
75.6
Would lose
Highest peakm · Higher wins ↑
1,410
1,041
Would win
Coastlinekm · Higher wins ↑
0
1,448
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
53.1° N
Would win
18
Round 18Won30 countries · 4 lives left
SingaporevsLatvia
Density: 8,230.4 vs 29.2 per km² · Higher wins ↑
Conquered Latvia.
Other category comparisons 3 other winning choices
All eight categories for Singapore against Latvia
Category
Singapore
Latvia
Result
Areakm² · Higher wins ↑
719
64,589
Would lose
Populationpeople · Higher wins ↑
5,917,648
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
144,728
42,784
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
29.2
Would win
Highest peakm · Higher wins ↑
166
312
Would lose
Coastlinekm · Higher wins ↑
193
498
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
56.6° N
Would win
19
Round 19Won31 countries · 4 lives left
VietnamvsBelgium
Population: 100,352,192 vs 11,779,946 people · Higher wins ↑
Conquered Belgium.
Other category comparisons 4 other winning choices
All eight categories for Vietnam against Belgium
Category
Vietnam
Belgium
Result
Areakm² · Higher wins ↑
331,210
30,528
Would win
Populationpeople · Higher wins ↑ · Chosen
100,352,192
11,779,946
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
72,630
Would lose
Densityper km² · Higher wins ↑
303.0
385.9
Would lose
Highest peakm · Higher wins ↑
3,144
694
Would win
Coastlinekm · Higher wins ↑
3,444
66.5
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
50.8° N
Would win
20
Round 20Won32 countries · 4 lives left
GabonvsItaly
Proximity to equator: 0.6° S vs 45.1° N from the equator · Closer wins ↓
Conquered Italy.
Other category comparisons 0 other winning choices
All eight categories for Gabon against Italy
Category
Gabon
Italy
Result
Areakm² · Higher wins ↑
267,667
301,340
Would lose
Populationpeople · Higher wins ↑
2,484,789
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
60,350
Would lose
Densityper km² · Higher wins ↑
9.3
195.7
Would lose
Highest peakm · Higher wins ↑
1,050
4,748
Would lose
Coastlinekm · Higher wins ↑
885
7,600
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Czechiavs
Thailand
Mali
Cuba
Central African Republic
Singapore
Vietnam
Gabon
Benin
Bulgaria
Equatorial Guinea
Philippines
Bahamas
United Kingdom
Fiji
Poland
Cyprus
Portugal
Oman
Mauritius
North Macedonia
Belize
Syria
Moldova
Iceland
Tunisia
Nigeria
Bangladesh
Ireland
Latvia
Belgium
Italy