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Untimed expedition · Data edition 01051846d672
17Wins
2Losses
0Ties
Explore the final empire · 27 countries
No countries match your search.
The path through the world
One choice at a time.
19 rounds
Where it began · 12 countries
Nepal · North Macedonia · Uzbekistan · Oman · Russia · Ecuador · India · Namibia · China · Venezuela · Myanmar · Dominican Republic
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
NepalvsItaly
Highest peak: 8,849 vs 4,748 m · Higher wins ↑
Conquered Italy.
Other category comparisons 2 other winning choices
All eight categories for Nepal against Italy
Category
Nepal
Italy
Result
Areakm² · Higher wins ↑
147,181
301,340
Would lose
Populationpeople · Higher wins ↑
29,694,614
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
5,400
60,350
Would lose
Densityper km² · Higher wins ↑
201.8
195.7
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
4,748
Would win
Coastlinekm · Higher wins ↑
0
7,600
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
45.1° N
Would win
2
Round 2Won14 countries · 4 lives left
North MacedoniavsVietnam
Wealth per person: 25,354 vs 15,034 int’l $ · Higher wins ↑
Conquered Vietnam.
Other category comparisons 0 other winning choices
All eight categories for North Macedonia against Vietnam
Category
North Macedonia
Vietnam
Result
Areakm² · Higher wins ↑
25,713
331,210
Would lose
Populationpeople · Higher wins ↑
1,827,816
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,354
15,034
Would win
Densityper km² · Higher wins ↑
71.1
303.0
Would lose
Highest peakm · Higher wins ↑
2,764
3,144
Would lose
Coastlinekm · Higher wins ↑
0
3,444
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
21.7° N
Would lose
3
Round 3Won15 countries · 4 lives left
UzbekistanvsEstonia
Highest peak: 4,643 vs 318 m · Higher wins ↑
Conquered Estonia.
Other category comparisons 5 other winning choices
All eight categories for Uzbekistan against Estonia
Category
Uzbekistan
Estonia
Result
Areakm² · Higher wins ↑
447,400
45,228
Would win
Populationpeople · Higher wins ↑
35,652,307
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
11,679
48,848
Would lose
Densityper km² · Higher wins ↑
79.7
30.3
Would win
Highest peakm · Higher wins ↑ · Chosen
4,643
318
Would win
Coastlinekm · Higher wins ↑
0
3,794
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
58.6° N
Would win
4
Round 4Won16 countries · 4 lives left
OmanvsMauritania
Wealth per person: 41,980 vs 6,972 int’l $ · Higher wins ↑
Conquered Mauritania.
Other category comparisons 4 other winning choices
All eight categories for Oman against Mauritania
Category
Oman
Mauritania
Result
Areakm² · Higher wins ↑
309,500
1,030,700
Would lose
Populationpeople · Higher wins ↑
5,049,269
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
41,980
6,972
Would win
Densityper km² · Higher wins ↑
16.3
4.9
Would win
Highest peakm · Higher wins ↑
3,004
915
Would win
Coastlinekm · Higher wins ↑
2,092
754
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
19.4° N
Would lose
5
Round 5Won17 countries · 4 lives left
RussiavsGuinea
Population: 143,826,130 vs 14,405,468 people · Higher wins ↑
Conquered Guinea.
Other category comparisons 4 other winning choices
All eight categories for Russia against Guinea
Category
Russia
Guinea
Result
Areakm² · Higher wins ↑
17,098,242
245,857
Would win
Populationpeople · Higher wins ↑ · Chosen
143,826,130
14,405,468
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
4,337
Would win
Densityper km² · Higher wins ↑
8.4
58.6
Would lose
Highest peakm · Higher wins ↑
5,642
1,752
Would win
Coastlinekm · Higher wins ↑
37,653
320
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
10.7° N
Would lose
6
Round 6Won18 countries · 4 lives left
EcuadorvsLibya
Proximity to equator: 1.2° S vs 26.1° N from the equator · Closer wins ↓
Conquered Libya.
Other category comparisons 6 other winning choices
All eight categories for Ecuador against Libya
Category
Ecuador
Libya
Result
Areakm² · Higher wins ↑
283,561
1,759,540
Would lose
Populationpeople · Higher wins ↑
17,980,083
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
15,907
13,858
Would win
Densityper km² · Higher wins ↑
63.4
4.2
Would win
Highest peakm · Higher wins ↑
6,267
2,267
Would win
Coastlinekm · Higher wins ↑
2,237
1,770
Would win
Flag colourscolours · Higher wins ↑
11
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.2° S
26.1° N
Would win
7
Round 7Won19 countries · 4 lives left
IndiavsCuba
Population: 1,438,069,596 vs 11,019,931 people · Higher wins ↑
Conquered Cuba.
Other category comparisons 5 other winning choices
All eight categories for India against Cuba
Category
India
Cuba
Result
Areakm² · Higher wins ↑
3,287,263
110,860
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
11,019,931
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
9,853
Unavailable
Unavailable
Densityper km² · Higher wins ↑
437.5
99.4
Would win
Highest peakm · Higher wins ↑
8,586
1,974
Would win
Coastlinekm · Higher wins ↑
7,000
3,735
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
20.6° N
Would lose
8
Round 8Won20 countries · 4 lives left
NamibiavsHungary
Proximity to equator: 20.6° S vs 47.3° N from the equator · Closer wins ↓
Conquered Hungary.
Other category comparisons 4 other winning choices
All eight categories for Namibia against Hungary
Category
Namibia
Hungary
Result
Areakm² · Higher wins ↑
824,292
93,028
Would win
Populationpeople · Higher wins ↑
2,963,095
9,592,186
Would lose
Wealth per personint’l $ · Higher wins ↑
11,248
46,376
Would lose
Densityper km² · Higher wins ↑
3.6
103.1
Would lose
Highest peakm · Higher wins ↑
2,573
1,014
Would win
Coastlinekm · Higher wins ↑
1,572
0
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
20.6° S
47.3° N
Would win
9
Round 9Won21 countries · 4 lives left
ChinavsGermany
Population: 1,410,710,000 vs 83,287,273 people · Higher wins ↑
Conquered Germany.
Other category comparisons 4 other winning choices
All eight categories for China against Germany
Category
China
Germany
Result
Areakm² · Higher wins ↑
9,596,960
357,022
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
83,287,273
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
72,262
Would lose
Densityper km² · Higher wins ↑
147.0
233.3
Would lose
Highest peakm · Higher wins ↑
8,849
2,963
Would win
Coastlinekm · Higher wins ↑
14,500
2,389
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
51.0° N
Would win
10
Round 10Won22 countries · 4 lives left
VenezuelavsGabon
Highest peak: 4,978 vs 1,050 m · Higher wins ↑
Conquered Gabon.
Other category comparisons 5 other winning choices
All eight categories for Venezuela against Gabon
Category
Venezuela
Gabon
Result
Areakm² · Higher wins ↑
912,050
267,667
Would win
Populationpeople · Higher wins ↑
28,300,854
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
20,773
Unavailable
Densityper km² · Higher wins ↑
31.0
9.3
Would win
Highest peakm · Higher wins ↑ · Chosen
4,978
1,050
Would win
Coastlinekm · Higher wins ↑
2,800
885
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.2° N
0.6° S
Would lose
11
Round 11Won23 countries · 4 lives left
MyanmarvsLesotho
Population: 54,133,798 vs 2,311,472 people · Higher wins ↑
Conquered Lesotho.
Other category comparisons 6 other winning choices
All eight categories for Myanmar against Lesotho
Category
Myanmar
Lesotho
Result
Areakm² · Higher wins ↑
676,578
30,355
Would win
Populationpeople · Higher wins ↑ · Chosen
54,133,798
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
2,880
Would win
Densityper km² · Higher wins ↑
80.0
76.1
Would win
Highest peakm · Higher wins ↑
5,870
3,482
Would win
Coastlinekm · Higher wins ↑
1,930
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
29.4° S
Would win
12
Round 12Won24 countries · 4 lives left
Dominican RepublicvsMoldova
Population: 11,331,265 vs 2,457,783 people · Higher wins ↑
Conquered Moldova.
Other category comparisons 6 other winning choices
All eight categories for Dominican Republic against Moldova
Category
Dominican Republic
Moldova
Result
Areakm² · Higher wins ↑
48,670
33,851
Would win
Populationpeople · Higher wins ↑ · Chosen
11,331,265
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
25,861
17,751
Would win
Densityper km² · Higher wins ↑
232.8
72.6
Would win
Highest peakm · Higher wins ↑
3,098
430
Would win
Coastlinekm · Higher wins ↑
1,288
0
Would win
Flag colourscolours · Higher wins ↑
6
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
19.1° N
47.5° N
Would win
13
Round 13Won25 countries · 4 lives left
NepalvsArmenia
Highest peak: 8,849 vs 4,090 m · Higher wins ↑
Conquered Armenia.
Other category comparisons 4 other winning choices
All eight categories for Nepal against Armenia
Category
Nepal
Armenia
Result
Areakm² · Higher wins ↑
147,181
29,743
Would win
Populationpeople · Higher wins ↑
29,694,614
2,964,300
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
21,552
Would lose
Densityper km² · Higher wins ↑
201.8
99.7
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
4,090
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
40.6° N
Would win
14
Round 14Won26 countries · 4 lives left
ItalyvsGreece
Population: 58,984,216 vs 10,407,351 people · Higher wins ↑
Conquered Greece.
Other category comparisons 5 other winning choices
All eight categories for Italy against Greece
Category
Italy
Greece
Result
Areakm² · Higher wins ↑
301,340
131,957
Would win
Populationpeople · Higher wins ↑ · Chosen
58,984,216
10,407,351
Would win
Wealth per personint’l $ · Higher wins ↑
60,350
42,614
Would win
Densityper km² · Higher wins ↑
195.7
78.9
Would win
Highest peakm · Higher wins ↑
4,748
2,917
Would win
Coastlinekm · Higher wins ↑
7,600
13,676
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
39.8° N
Would lose
15
Round 15Lost25 countries · 3 lives left
North MacedoniavsSyria
Density: 71.1 vs 125.9 per km² · Higher wins ↑
Returned to the world: North Macedonia.
Other category comparisons 0 other winning choices
All eight categories for North Macedonia against Syria
Category
North Macedonia
Syria
Result
Areakm² · Higher wins ↑
25,713
187,437
Would lose
Populationpeople · Higher wins ↑
1,827,816
23,594,623
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
25,354
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
71.1
125.9
Would lose
Highest peakm · Higher wins ↑
2,764
2,814
Would lose
Coastlinekm · Higher wins ↑
0
193
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
35.0° N
Would lose
16
Round 16Won26 countries · 3 lives left
VietnamvsJordan
Population: 100,352,192 vs 11,439,213 people · Higher wins ↑
Conquered Jordan.
Other category comparisons 6 other winning choices
All eight categories for Vietnam against Jordan
Category
Vietnam
Jordan
Result
Areakm² · Higher wins ↑
331,210
89,342
Would win
Populationpeople · Higher wins ↑ · Chosen
100,352,192
11,439,213
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
11,451
Would win
Densityper km² · Higher wins ↑
303.0
128.0
Would win
Highest peakm · Higher wins ↑
3,144
1,854
Would win
Coastlinekm · Higher wins ↑
3,444
26
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
30.7° N
Would win
17
Round 17Won27 countries · 3 lives left
UzbekistanvsCosta Rica
Area: 447,400 vs 51,100 km² · Higher wins ↑
Conquered Costa Rica.
Other category comparisons 3 other winning choices
All eight categories for Uzbekistan against Costa Rica
Category
Uzbekistan
Costa Rica
Result
Areakm² · Higher wins ↑ · Chosen
447,400
51,100
Would win
Populationpeople · Higher wins ↑
35,652,307
5,105,525
Would win
Wealth per personint’l $ · Higher wins ↑
11,679
29,248
Would lose
Densityper km² · Higher wins ↑
79.7
99.9
Would lose
Highest peakm · Higher wins ↑
4,643
3,819
Would win
Coastlinekm · Higher wins ↑
0
1,290
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
10.1° N
Would lose
18
Round 18Won28 countries · 3 lives left
EstoniavsAlgeria
Wealth per person: 48,848 vs 16,838 int’l $ · Higher wins ↑
Conquered Algeria.
Other category comparisons 2 other winning choices
All eight categories for Estonia against Algeria
Category
Estonia
Algeria
Result
Areakm² · Higher wins ↑
45,228
2,381,740
Would lose
Populationpeople · Higher wins ↑
1,370,286
46,164,219
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,848
16,838
Would win
Densityper km² · Higher wins ↑
30.3
19.4
Would win
Highest peakm · Higher wins ↑
318
2,908
Would lose
Coastlinekm · Higher wins ↑
3,794
998
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
27.4° N
Would lose
19
Round 19Lost27 countries · 2 lives left
OmanvsTürkiye
Density: 16.3 vs 108.9 per km² · Higher wins ↑
Returned to the world: Oman.
Other category comparisons 2 other winning choices
All eight categories for Oman against Türkiye
Category
Oman
Türkiye
Result
Areakm² · Higher wins ↑
309,500
783,562
Would lose
Populationpeople · Higher wins ↑
5,049,269
85,325,965
Would lose
Wealth per personint’l $ · Higher wins ↑
41,980
43,196
Would lose
Densityper km² · Higher wins ↑ · Chosen
16.3
108.9
Would lose
Highest peakm · Higher wins ↑
3,004
5,137
Would lose
Coastlinekm · Higher wins ↑
2,092
7,200
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓