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Untimed expedition · Data edition 01051846d672
17Wins
1Losses
0Ties
Explore the final empire · 28 countries
No countries match your search.
The path through the world
One choice at a time.
18 rounds
Where it began · 12 countries
Bangladesh · Canada · North Korea · Denmark · Panama · Belgium · Uganda · Chad · South Sudan · Belize · Uzbekistan · Venezuela
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
BangladeshvsGhana
Population: 171,466,990 vs 33,787,914 people · Higher wins ↑
Conquered Ghana.
Other category comparisons 4 other winning choices
All eight categories for Bangladesh against Ghana
Category
Bangladesh
Ghana
Result
Areakm² · Higher wins ↑
148,460
238,533
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
33,787,914
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
7,563
Would win
Densityper km² · Higher wins ↑
1,155.0
141.6
Would win
Highest peakm · Higher wins ↑
1,060
885
Would win
Coastlinekm · Higher wins ↑
580
539
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
7.0° N
Would lose
2
Round 2Won14 countries · 4 lives left
CanadavsAfghanistan
Area: 9,984,670 vs 652,230 km² · Higher wins ↑
Conquered Afghanistan.
Other category comparisons 2 other winning choices
All eight categories for Canada against Afghanistan
Category
Canada
Afghanistan
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
652,230
Would win
Populationpeople · Higher wins ↑
40,049,088
41,454,761
Would lose
Wealth per personint’l $ · Higher wins ↑
64,962
2,204
Would win
Densityper km² · Higher wins ↑
4.0
63.6
Would lose
Highest peakm · Higher wins ↑
5,959
7,492
Would lose
Coastlinekm · Higher wins ↑
202,080
0
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
34.3° N
Would lose
3
Round 3Won15 countries · 4 lives left
North KoreavsDominican Republic
Population: 26,418,204 vs 11,331,265 people · Higher wins ↑
Conquered Dominican Republic.
Other category comparisons 2 other winning choices
All eight categories for North Korea against Dominican Republic
Category
North Korea
Dominican Republic
Result
Areakm² · Higher wins ↑
120,538
48,670
Would win
Populationpeople · Higher wins ↑ · Chosen
26,418,204
11,331,265
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
25,861
Unavailable
Densityper km² · Higher wins ↑
219.2
232.8
Would lose
Highest peakm · Higher wins ↑
2,744
3,098
Would lose
Coastlinekm · Higher wins ↑
2,495
1,288
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
19.1° N
Would lose
4
Round 4Won16 countries · 4 lives left
DenmarkvsZimbabwe
Wealth per person: 77,425 vs 5,796 int’l $ · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 2 other winning choices
All eight categories for Denmark against Zimbabwe
Category
Denmark
Zimbabwe
Result
Areakm² · Higher wins ↑
43,094
390,757
Would lose
Populationpeople · Higher wins ↑
5,946,952
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
77,425
5,796
Would win
Densityper km² · Higher wins ↑
138.0
41.8
Would win
Highest peakm · Higher wins ↑
171
2,592
Would lose
Coastlinekm · Higher wins ↑
7,314
0
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
19.0° S
Would lose
5
Round 5Won17 countries · 4 lives left
PanamavsCambodia
Coastline: 2,490 vs 443 km · Higher wins ↑
Conquered Cambodia.
Other category comparisons 3 other winning choices
All eight categories for Panama against Cambodia
Category
Panama
Cambodia
Result
Areakm² · Higher wins ↑
75,420
181,035
Would lose
Populationpeople · Higher wins ↑
4,458,759
17,423,880
Would lose
Wealth per personint’l $ · Higher wins ↑
39,846
7,437
Would win
Densityper km² · Higher wins ↑
59.1
96.2
Would lose
Highest peakm · Higher wins ↑
3,475
1,810
Would win
Coastlinekm · Higher wins ↑ · Chosen
2,490
443
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.4° N
12.6° N
Would win
6
Round 6Won18 countries · 4 lives left
BelgiumvsLibya
Wealth per person: 72,630 vs 13,858 int’l $ · Higher wins ↑
Conquered Libya.
Other category comparisons 2 other winning choices
All eight categories for Belgium against Libya
Category
Belgium
Libya
Result
Areakm² · Higher wins ↑
30,528
1,759,540
Would lose
Populationpeople · Higher wins ↑
11,779,946
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,630
13,858
Would win
Densityper km² · Higher wins ↑
385.9
4.2
Would win
Highest peakm · Higher wins ↑
694
2,267
Would lose
Coastlinekm · Higher wins ↑
66.5
1,770
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
50.8° N
26.1° N
Would lose
7
Round 7Won19 countries · 4 lives left
UgandavsEthiopia
Proximity to equator: 2.0° N vs 8.5° N from the equator · Closer wins ↓
Conquered Ethiopia.
Other category comparisons 4 other winning choices
All eight categories for Uganda against Ethiopia
Category
Uganda
Ethiopia
Result
Areakm² · Higher wins ↑
241,038
1,104,300
Would lose
Populationpeople · Higher wins ↑
48,656,601
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑
3,100
3,063
Would win
Densityper km² · Higher wins ↑
201.9
116.5
Would win
Highest peakm · Higher wins ↑
5,110
4,550
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
2.0° N
8.5° N
Would win
8
Round 8Won20 countries · 4 lives left
ChadvsMoldova
Area: 1,284,000 vs 33,851 km² · Higher wins ↑
Conquered Moldova.
Other category comparisons 3 other winning choices
All eight categories for Chad against Moldova
Category
Chad
Moldova
Result
Areakm² · Higher wins ↑ · Chosen
1,284,000
33,851
Would win
Populationpeople · Higher wins ↑
19,319,064
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
2,703
17,751
Would lose
Densityper km² · Higher wins ↑
15.0
72.6
Would lose
Highest peakm · Higher wins ↑
3,445
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 ↓
17.3° N
47.5° N
Would win
9
Round 9Won21 countries · 4 lives left
South SudanvsAndorra
Area: 644,329 vs 468 km² · Higher wins ↑
Conquered Andorra.
Other category comparisons 3 other winning choices
All eight categories for South Sudan against Andorra
Category
South Sudan
Andorra
Result
Areakm² · Higher wins ↑ · Chosen
644,329
468
Would win
Populationpeople · Higher wins ↑
11,483,374
80,856
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
71,790
Unavailable
Densityper km² · Higher wins ↑
17.8
172.8
Would lose
Highest peakm · Higher wins ↑
3,187
2,946
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
42.5° N
Would win
10
Round 10Won22 countries · 4 lives left
BelizevsPalestine
Area: 22,966 vs 6,220 km² · Higher wins ↑
Conquered Palestine.
Other category comparisons 5 other winning choices
All eight categories for Belize against Palestine
Category
Belize
Palestine
Result
Areakm² · Higher wins ↑ · Chosen
22,966
6,220
Would win
Populationpeople · Higher wins ↑
411,106
5,165,775
Would lose
Wealth per personint’l $ · Higher wins ↑
13,741
6,179
Would win
Densityper km² · Higher wins ↑
17.9
830.5
Would lose
Highest peakm · Higher wins ↑
1,124
1,020
Would win
Coastlinekm · Higher wins ↑
386
40
Would win
Flag colourscolours · Higher wins ↑
12
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
32.1° N
Would win
11
Round 11Won23 countries · 4 lives left
UzbekistanvsBelarus
Area: 447,400 vs 207,600 km² · Higher wins ↑
Conquered Belarus.
Other category comparisons 5 other winning choices
All eight categories for Uzbekistan against Belarus
Category
Uzbekistan
Belarus
Result
Areakm² · Higher wins ↑ · Chosen
447,400
207,600
Would win
Populationpeople · Higher wins ↑
35,652,307
9,178,298
Would win
Wealth per personint’l $ · Higher wins ↑
11,679
30,860
Would lose
Densityper km² · Higher wins ↑
79.7
44.2
Would win
Highest peakm · Higher wins ↑
4,643
346
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
53.8° N
Would win
12
Round 12Won24 countries · 4 lives left
VenezuelavsMalaysia
Highest peak: 4,978 vs 4,095 m · Higher wins ↑
Conquered Malaysia.
Other category comparisons 1 other winning choice
All eight categories for Venezuela against Malaysia
Category
Venezuela
Malaysia
Result
Areakm² · Higher wins ↑
912,050
329,847
Would win
Populationpeople · Higher wins ↑
28,300,854
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
Unavailable
36,497
Unavailable
Densityper km² · Higher wins ↑
31.0
106.5
Would lose
Highest peakm · Higher wins ↑ · Chosen
4,978
4,095
Would win
Coastlinekm · Higher wins ↑
2,800
4,675
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.2° N
4.4° N
Would lose
13
Round 13Won25 countries · 4 lives left
BangladeshvsGermany
Population: 171,466,990 vs 83,287,273 people · Higher wins ↑
Conquered Germany.
Other category comparisons 2 other winning choices
All eight categories for Bangladesh against Germany
Category
Bangladesh
Germany
Result
Areakm² · Higher wins ↑
148,460
357,022
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
83,287,273
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
72,262
Would lose
Densityper km² · Higher wins ↑
1,155.0
233.3
Would win
Highest peakm · Higher wins ↑
1,060
2,963
Would lose
Coastlinekm · Higher wins ↑
580
2,389
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
51.0° N
Would win
14
Round 14Won26 countries · 4 lives left
GhanavsGreece
Proximity to equator: 7.0° N vs 39.8° N from the equator · Closer wins ↓
Conquered Greece.
Other category comparisons 4 other winning choices
All eight categories for Ghana against Greece
Category
Ghana
Greece
Result
Areakm² · Higher wins ↑
238,533
131,957
Would win
Populationpeople · Higher wins ↑
33,787,914
10,407,351
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
42,614
Would lose
Densityper km² · Higher wins ↑
141.6
78.9
Would win
Highest peakm · Higher wins ↑
885
2,917
Would lose
Coastlinekm · Higher wins ↑
539
13,676
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
39.8° N
Would win
15
Round 15Won27 countries · 4 lives left
CanadavsUruguay
Area: 9,984,670 vs 176,215 km² · Higher wins ↑
Conquered Uruguay.
Other category comparisons 4 other winning choices
All eight categories for Canada against Uruguay
Category
Canada
Uruguay
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
176,215
Would win
Populationpeople · Higher wins ↑
40,049,088
3,388,081
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
34,546
Would win
Densityper km² · Higher wins ↑
4.0
19.2
Would lose
Highest peakm · Higher wins ↑
5,959
514
Would win
Coastlinekm · Higher wins ↑
202,080
660
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
32.9° S
Would lose
16
Round 16Won28 countries · 4 lives left
AfghanistanvsSierra Leone
Highest peak: 7,492 vs 1,948 m · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 3 other winning choices
All eight categories for Afghanistan against Sierra Leone
Category
Afghanistan
Sierra Leone
Result
Areakm² · Higher wins ↑
652,230
71,740
Would win
Populationpeople · Higher wins ↑
41,454,761
8,460,512
Would win
Wealth per personint’l $ · Higher wins ↑
2,204
3,371
Would lose
Densityper km² · Higher wins ↑
63.6
117.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,492
1,948
Would win
Coastlinekm · Higher wins ↑
0
402
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
8.7° N
Would lose
17
Round 17Won29 countries · 4 lives left
North KoreavsEstonia
Population: 26,418,204 vs 1,370,286 people · Higher wins ↑
Conquered Estonia.
Other category comparisons 4 other winning choices
All eight categories for North Korea against Estonia
Category
North Korea
Estonia
Result
Areakm² · Higher wins ↑
120,538
45,228
Would win
Populationpeople · Higher wins ↑ · Chosen
26,418,204
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
48,848
Unavailable
Densityper km² · Higher wins ↑
219.2
30.3
Would win
Highest peakm · Higher wins ↑
2,744
318
Would win
Coastlinekm · Higher wins ↑
2,495
3,794
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
58.6° N
Would win
18
Round 18Lost28 countries · 3 lives left
Dominican RepublicvsTanzania
Coastline: 1,288 vs 1,424 km · Higher wins ↑
Returned to the world: Dominican Republic.
Other category comparisons 3 other winning choices
All eight categories for Dominican Republic against Tanzania
Category
Dominican Republic
Tanzania
Result
Areakm² · Higher wins ↑
48,670
947,300
Would lose
Populationpeople · Higher wins ↑
11,331,265
66,617,606
Would lose
Wealth per personint’l $ · Higher wins ↑
25,861
4,022
Would win
Densityper km² · Higher wins ↑
232.8
70.3
Would win
Highest peakm · Higher wins ↑
3,098
5,895
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,288
1,424
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Bangladeshvs
Ghana
Canada
Afghanistan
North Korea
Dominican Republic
Denmark
Zimbabwe
Panama
Cambodia
Belgium
Libya
Uganda
Ethiopia
Chad
Moldova
South Sudan
Andorra
Belize
Palestine
Uzbekistan
Belarus
Venezuela
Malaysia
Germany
Greece
Uruguay
Sierra Leone
Estonia
Tanzania