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Untimed expedition · Data edition 01051846d672
33Wins
2Losses
0Ties
Explore the final empire · 43 countries
No countries match your search.
The path through the world
One choice at a time.
35 rounds
Where it began · 12 countries
North Macedonia · Malawi · Vietnam · Burkina Faso · Bangladesh · Colombia · Belarus · United Arab Emirates · Benin · Azerbaijan · Turkmenistan · Portugal
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
North MacedoniavsUkraine
Density: 71.1 vs 62.5 per km² · Higher wins ↑
Conquered Ukraine.
Other category comparisons 3 other winning choices
All eight categories for North Macedonia against Ukraine
Category
North Macedonia
Ukraine
Result
Areakm² · Higher wins ↑
25,713
603,550
Would lose
Populationpeople · Higher wins ↑
1,827,816
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑
25,354
17,680
Would win
Densityper km² · Higher wins ↑ · Chosen
71.1
62.5
Would win
Highest peakm · Higher wins ↑
2,764
2,061
Would win
Coastlinekm · Higher wins ↑
0
2,782
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
49.6° N
Would win
2
Round 2Won14 countries · 4 lives left
MalawivsAfghanistan
Proximity to equator: 13.4° S vs 34.3° N from the equator · Closer wins ↓
Conquered Afghanistan.
Other category comparisons 1 other winning choice
All eight categories for Malawi against Afghanistan
Category
Malawi
Afghanistan
Result
Areakm² · Higher wins ↑
118,484
652,230
Would lose
Populationpeople · Higher wins ↑
21,104,482
41,454,761
Would lose
Wealth per personint’l $ · Higher wins ↑
1,832
2,204
Would lose
Densityper km² · Higher wins ↑
178.1
63.6
Would win
Highest peakm · Higher wins ↑
3,002
7,492
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.4° S
34.3° N
Would win
3
Round 3Won15 countries · 4 lives left
VietnamvsParaguay
Population: 100,352,192 vs 6,844,146 people · Higher wins ↑
Conquered Paraguay.
Other category comparisons 3 other winning choices
All eight categories for Vietnam against Paraguay
Category
Vietnam
Paraguay
Result
Areakm² · Higher wins ↑
331,210
406,752
Would lose
Populationpeople · Higher wins ↑ · Chosen
100,352,192
6,844,146
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
17,585
Would lose
Densityper km² · Higher wins ↑
303.0
16.8
Would win
Highest peakm · Higher wins ↑
3,144
842
Would win
Coastlinekm · Higher wins ↑
3,444
0
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
21.6° S
Would lose
4
Round 4Won16 countries · 4 lives left
Burkina FasovsMoldova
Population: 23,025,776 vs 2,457,783 people · Higher wins ↑
Conquered Moldova.
Other category comparisons 4 other winning choices
All eight categories for Burkina Faso against Moldova
Category
Burkina Faso
Moldova
Result
Areakm² · Higher wins ↑
274,200
33,851
Would win
Populationpeople · Higher wins ↑ · Chosen
23,025,776
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
17,751
Would lose
Densityper km² · Higher wins ↑
84.0
72.6
Would win
Highest peakm · Higher wins ↑
749
430
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.8° N
47.5° N
Would win
5
Round 5Won17 countries · 4 lives left
BangladeshvsSweden
Population: 171,466,990 vs 10,536,632 people · Higher wins ↑
Conquered Sweden.
Other category comparisons 2 other winning choices
All eight categories for Bangladesh against Sweden
Category
Bangladesh
Sweden
Result
Areakm² · Higher wins ↑
148,460
450,295
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
10,536,632
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
68,458
Would lose
Densityper km² · Higher wins ↑
1,155.0
23.4
Would win
Highest peakm · Higher wins ↑
1,060
2,100
Would lose
Coastlinekm · Higher wins ↑
580
3,218
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
65.8° N
Would win
6
Round 6Won18 countries · 4 lives left
ColombiavsBurundi
Population: 52,321,152 vs 13,689,450 people · Higher wins ↑
Conquered Burundi.
Other category comparisons 4 other winning choices
All eight categories for Colombia against Burundi
Category
Colombia
Burundi
Result
Areakm² · Higher wins ↑
1,138,910
27,830
Would win
Populationpeople · Higher wins ↑ · Chosen
52,321,152
13,689,450
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
1,147
Would win
Densityper km² · Higher wins ↑
45.9
491.9
Would lose
Highest peakm · Higher wins ↑
5,730
2,685
Would win
Coastlinekm · Higher wins ↑
3,208
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
3.4° S
Would tie
7
Round 7Won19 countries · 4 lives left
BelarusvsMalta
Population: 9,178,298 vs 552,747 people · Higher wins ↑
Conquered Malta.
Other category comparisons 2 other winning choices
All eight categories for Belarus against Malta
Category
Belarus
Malta
Result
Areakm² · Higher wins ↑
207,600
316
Would win
Populationpeople · Higher wins ↑ · Chosen
9,178,298
552,747
Would win
Wealth per personint’l $ · Higher wins ↑
30,860
67,101
Would lose
Densityper km² · Higher wins ↑
44.2
1,749.2
Would lose
Highest peakm · Higher wins ↑
346
253
Would win
Coastlinekm · Higher wins ↑
0
196.8
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
35.9° N
Would lose
8
Round 8Won20 countries · 4 lives left
United Arab EmiratesvsMorocco
Wealth per person: 78,020 vs 9,903 int’l $ · Higher wins ↑
Conquered Morocco.
Other category comparisons 3 other winning choices
All eight categories for United Arab Emirates against Morocco
Category
United Arab Emirates
Morocco
Result
Areakm² · Higher wins ↑
83,600
446,550
Would lose
Populationpeople · Higher wins ↑
10,483,751
37,712,505
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
78,020
9,903
Would win
Densityper km² · Higher wins ↑
125.4
84.5
Would win
Highest peakm · Higher wins ↑
1,905
4,165
Would lose
Coastlinekm · Higher wins ↑
1,318
1,835
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
31.9° N
Would win
9
Round 9Won21 countries · 4 lives left
BeninvsGuyana
Density: 125.3 vs 3.8 per km² · Higher wins ↑
Conquered Guyana.
Other category comparisons 1 other winning choice
All eight categories for Benin against Guyana
Category
Benin
Guyana
Result
Areakm² · Higher wins ↑
112,622
214,969
Would lose
Populationpeople · Higher wins ↑
14,111,034
826,353
Would win
Wealth per personint’l $ · Higher wins ↑
4,133
54,774
Would lose
Densityper km² · Higher wins ↑ · Chosen
125.3
3.8
Would win
Highest peakm · Higher wins ↑
675
2,775
Would lose
Coastlinekm · Higher wins ↑
121
459
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.4° N
2.7° N
Would lose
10
Round 10Won22 countries · 4 lives left
AzerbaijanvsLaos
Population: 10,153,958 vs 7,664,993 people · Higher wins ↑
Conquered Laos.
Other category comparisons 4 other winning choices
All eight categories for Azerbaijan against Laos
Category
Azerbaijan
Laos
Result
Areakm² · Higher wins ↑
86,600
236,800
Would lose
Populationpeople · Higher wins ↑ · Chosen
10,153,958
7,664,993
Would win
Wealth per personint’l $ · Higher wins ↑
23,671
9,299
Would win
Densityper km² · Higher wins ↑
117.3
32.4
Would win
Highest peakm · Higher wins ↑
4,466
2,817
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
19.6° N
Would lose
11
Round 11Won23 countries · 4 lives left
TurkmenistanvsIndia
Wealth per person: 19,645 vs 9,853 int’l $ · Higher wins ↑
Conquered India.
Other category comparisons 1 other winning choice
All eight categories for Turkmenistan against India
Category
Turkmenistan
India
Result
Areakm² · Higher wins ↑
488,100
3,287,263
Would lose
Populationpeople · Higher wins ↑
7,364,438
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
19,645
9,853
Would win
Densityper km² · Higher wins ↑
15.1
437.5
Would lose
Highest peakm · Higher wins ↑
3,139
8,586
Would lose
Coastlinekm · Higher wins ↑
0
7,000
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
22.4° N
Would lose
12
Round 12Won24 countries · 4 lives left
PortugalvsRussia
Wealth per person: 49,800 vs 44,299 int’l $ · Higher wins ↑
Conquered Russia.
Other category comparisons 3 other winning choices
All eight categories for Portugal against Russia
Category
Portugal
Russia
Result
Areakm² · Higher wins ↑
92,090
17,098,242
Would lose
Populationpeople · Higher wins ↑
10,578,174
143,826,130
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
49,800
44,299
Would win
Densityper km² · Higher wins ↑
114.9
8.4
Would win
Highest peakm · Higher wins ↑
2,351
5,642
Would lose
Coastlinekm · Higher wins ↑
1,793
37,653
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.7° N
63.6° N
Would win
13
Round 13Won25 countries · 4 lives left
North MacedoniavsCyprus
Population: 1,827,816 vs 1,344,976 people · Higher wins ↑
Conquered Cyprus.
Other category comparisons 2 other winning choices
All eight categories for North Macedonia against Cyprus
Category
North Macedonia
Cyprus
Result
Areakm² · Higher wins ↑
25,713
9,251
Would win
Populationpeople · Higher wins ↑ · Chosen
1,827,816
1,344,976
Would win
Wealth per personint’l $ · Higher wins ↑
25,354
59,875
Would lose
Densityper km² · Higher wins ↑
71.1
145.4
Would lose
Highest peakm · Higher wins ↑
2,764
1,951
Would win
Coastlinekm · Higher wins ↑
0
648
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
34.9° N
Would lose
14
Round 14Won26 countries · 4 lives left
UkrainevsMozambique
Wealth per person: 17,680 vs 1,680 int’l $ · Higher wins ↑
Conquered Mozambique.
Other category comparisons 3 other winning choices
All eight categories for Ukraine against Mozambique
Category
Ukraine
Mozambique
Result
Areakm² · Higher wins ↑
603,550
799,380
Would lose
Populationpeople · Higher wins ↑
37,732,836
33,635,160
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,680
1,680
Would win
Densityper km² · Higher wins ↑
62.5
42.1
Would win
Highest peakm · Higher wins ↑
2,061
2,436
Would lose
Coastlinekm · Higher wins ↑
2,782
2,470
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
14.0° S
Would lose
15
Round 15Won27 countries · 4 lives left
MalawivsZimbabwe
Proximity to equator: 13.4° S vs 19.0° S from the equator · Closer wins ↓
Conquered Zimbabwe.
Other category comparisons 3 other winning choices
All eight categories for Malawi against Zimbabwe
Category
Malawi
Zimbabwe
Result
Areakm² · Higher wins ↑
118,484
390,757
Would lose
Populationpeople · Higher wins ↑
21,104,482
16,340,822
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
5,796
Would lose
Densityper km² · Higher wins ↑
178.1
41.8
Would win
Highest peakm · Higher wins ↑
3,002
2,592
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.4° S
19.0° S
Would win
16
Round 16Won28 countries · 4 lives left
AfghanistanvsMongolia
Highest peak: 7,492 vs 4,374 m · Higher wins ↑
Conquered Mongolia.
Other category comparisons 4 other winning choices
All eight categories for Afghanistan against Mongolia
Category
Afghanistan
Mongolia
Result
Areakm² · Higher wins ↑
652,230
1,564,116
Would lose
Populationpeople · Higher wins ↑
41,454,761
3,481,145
Would win
Wealth per personint’l $ · Higher wins ↑
2,204
18,020
Would lose
Densityper km² · Higher wins ↑
63.6
2.2
Would win
Highest peakm · Higher wins ↑ · Chosen
7,492
4,374
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
46.0° N
Would win
17
Round 17Won29 countries · 4 lives left
VietnamvsDR Congo
Coastline: 3,444 vs 37 km · Higher wins ↑
Conquered DR Congo.
Other category comparisons 2 other winning choices
All eight categories for Vietnam against DR Congo
Category
Vietnam
DR Congo
Result
Areakm² · Higher wins ↑
331,210
2,344,858
Would lose
Populationpeople · Higher wins ↑
100,352,192
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑
15,034
1,732
Would win
Densityper km² · Higher wins ↑
303.0
45.1
Would win
Highest peakm · Higher wins ↑
3,144
5,110
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,444
37
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
1.9° S
Would lose
18
Round 18Won30 countries · 4 lives left
ParaguayvsLithuania
Area: 406,752 vs 65,300 km² · Higher wins ↑
Conquered Lithuania.
Other category comparisons 4 other winning choices
All eight categories for Paraguay against Lithuania
Category
Paraguay
Lithuania
Result
Areakm² · Higher wins ↑ · Chosen
406,752
65,300
Would win
Populationpeople · Higher wins ↑
6,844,146
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
17,585
52,720
Would lose
Densityper km² · Higher wins ↑
16.8
44.0
Would lose
Highest peakm · Higher wins ↑
842
294
Would win
Coastlinekm · Higher wins ↑
0
90
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° S
55.1° N
Would win
19
Round 19Won31 countries · 4 lives left
Burkina FasovsSolomon Islands
Area: 274,200 vs 28,896 km² · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 3 other winning choices
All eight categories for Burkina Faso against Solomon Islands
Category
Burkina Faso
Solomon Islands
Result
Areakm² · Higher wins ↑ · Chosen
274,200
28,896
Would win
Populationpeople · Higher wins ↑
23,025,776
800,005
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
2,599
Would win
Densityper km² · Higher wins ↑
84.0
27.7
Would win
Highest peakm · Higher wins ↑
749
2,335
Would lose
Coastlinekm · Higher wins ↑
0
5,313
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.8° N
9.6° S
Would lose
20
Round 20Won32 countries · 4 lives left
MoldovavsMontenegro
Density: 72.6 vs 45.1 per km² · Higher wins ↑
Conquered Montenegro.
Other category comparisons 3 other winning choices
All eight categories for Moldova against Montenegro
Category
Moldova
Montenegro
Result
Areakm² · Higher wins ↑
33,851
13,812
Would win
Populationpeople · Higher wins ↑
2,457,783
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
17,751
31,863
Would lose
Densityper km² · Higher wins ↑ · Chosen
72.6
45.1
Would win
Highest peakm · Higher wins ↑
430
2,534
Would lose
Coastlinekm · Higher wins ↑
0
293.5
Would lose
Flag colourscolours · Higher wins ↑
9
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓