Sign up to keep your history → Your games from this browser come with you. Confirm your email to add eligible scores to the highscores.
Untimed expedition · Data edition 01051846d672
163Wins
1Losses
0Ties
Explore the final empire · 174 countries
No countries match your search.
The path through the world
One choice at a time.
164 rounds
Where it began · 12 countries
Spain · Turkmenistan · Peru · Papua New Guinea · Botswana · Australia · Iceland · Somalia · Sweden · Brazil · Panama · Malawi
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
SpainvsNorth Korea
Population: 48,352,528 vs 26,418,204 people · Higher wins ↑
Conquered North Korea.
Other category comparisons 4 other winning choices
All eight categories for Spain against North Korea
Category
Spain
North Korea
Result
Areakm² · Higher wins ↑
505,370
120,538
Would win
Populationpeople · Higher wins ↑ · Chosen
48,352,528
26,418,204
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
55,661
Unavailable
Unavailable
Densityper km² · Higher wins ↑
95.7
219.2
Would lose
Highest peakm · Higher wins ↑
3,718
2,744
Would win
Coastlinekm · Higher wins ↑
4,964
2,495
Would win
Flag colourscolours · Higher wins ↑
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
39.9° N
Would lose
2
Round 2Won14 countries · 4 lives left
TurkmenistanvsMali
Highest peak: 3,139 vs 1,155 m · Higher wins ↑
Conquered Mali.
Other category comparisons 2 other winning choices
All eight categories for Turkmenistan against Mali
Category
Turkmenistan
Mali
Result
Areakm² · Higher wins ↑
488,100
1,240,192
Would lose
Populationpeople · Higher wins ↑
7,364,438
23,769,127
Would lose
Wealth per personint’l $ · Higher wins ↑
19,645
3,178
Would win
Densityper km² · Higher wins ↑
15.1
19.2
Would lose
Highest peakm · Higher wins ↑ · Chosen
3,139
1,155
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
18.6° N
Would lose
3
Round 3Won15 countries · 4 lives left
PeruvsNew Zealand
Highest peak: 6,746 vs 3,724 m · Higher wins ↑
Conquered New Zealand.
Other category comparisons 4 other winning choices
All eight categories for Peru against New Zealand
Category
Peru
New Zealand
Result
Areakm² · Higher wins ↑
1,285,216
268,838
Would win
Populationpeople · Higher wins ↑
33,845,617
5,200,000
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
54,950
Would lose
Densityper km² · Higher wins ↑
26.3
19.3
Would win
Highest peakm · Higher wins ↑ · Chosen
6,746
3,724
Would win
Coastlinekm · Higher wins ↑
2,414
15,134
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
45.3° S
Would win
4
Round 4Won16 countries · 4 lives left
Papua New GuineavsFrance
Proximity to equator: 5.5° S vs 46.7° N from the equator · Closer wins ↓
Conquered France.
Other category comparisons 2 other winning choices
All eight categories for Papua New Guinea against France
Category
Papua New Guinea
France
Result
Areakm² · Higher wins ↑
462,840
551,500
Would lose
Populationpeople · Higher wins ↑
10,389,635
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
4,672
60,927
Would lose
Densityper km² · Higher wins ↑
22.4
119.5
Would lose
Highest peakm · Higher wins ↑
4,509
4,810
Would lose
Coastlinekm · Higher wins ↑
5,152
3,427
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
5.5° S
46.7° N
Would win
5
Round 5Won17 countries · 4 lives left
BotswanavsGreece
Area: 581,730 vs 131,957 km² · Higher wins ↑
Conquered Greece.
Other category comparisons 2 other winning choices
All eight categories for Botswana against Greece
Category
Botswana
Greece
Result
Areakm² · Higher wins ↑ · Chosen
581,730
131,957
Would win
Populationpeople · Higher wins ↑
2,480,244
10,407,351
Would lose
Wealth per personint’l $ · Higher wins ↑
21,029
42,614
Would lose
Densityper km² · Higher wins ↑
4.3
78.9
Would lose
Highest peakm · Higher wins ↑
1,495
2,917
Would lose
Coastlinekm · Higher wins ↑
0
13,676
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.1° S
39.8° N
Would win
6
Round 6Won18 countries · 4 lives left
AustraliavsPoland
Area: 7,741,220 vs 312,685 km² · Higher wins ↑
Conquered Poland.
Other category comparisons 4 other winning choices
All eight categories for Australia against Poland
Category
Australia
Poland
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
312,685
Would win
Populationpeople · Higher wins ↑
26,659,922
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
72,273
48,473
Would win
Densityper km² · Higher wins ↑
3.4
117.3
Would lose
Highest peakm · Higher wins ↑
2,228
2,499
Would lose
Coastlinekm · Higher wins ↑
25,760
440
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
51.9° N
Would win
7
Round 7Won19 countries · 4 lives left
IcelandvsBolivia
Wealth per person: 82,257 vs 12,903 int’l $ · Higher wins ↑
Conquered Bolivia.
Other category comparisons 1 other winning choice
All eight categories for Iceland against Bolivia
Category
Iceland
Bolivia
Result
Areakm² · Higher wins ↑
103,000
1,098,581
Would lose
Populationpeople · Higher wins ↑
385,663
12,244,159
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
12,903
Would win
Densityper km² · Higher wins ↑
3.7
11.1
Would lose
Highest peakm · Higher wins ↑
2,110
6,542
Would lose
Coastlinekm · Higher wins ↑
4,970
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
16.7° S
Would lose
8
Round 8Won20 countries · 4 lives left
SomaliavsNamibia
Density: 28.8 vs 3.6 per km² · Higher wins ↑
Conquered Namibia.
Other category comparisons 3 other winning choices
All eight categories for Somalia against Namibia
Category
Somalia
Namibia
Result
Areakm² · Higher wins ↑
637,657
824,292
Would lose
Populationpeople · Higher wins ↑
18,358,615
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
1,557
11,248
Would lose
Densityper km² · Higher wins ↑ · Chosen
28.8
3.6
Would win
Highest peakm · Higher wins ↑
2,460
2,573
Would lose
Coastlinekm · Higher wins ↑
3,025
1,572
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
20.6° S
Would win
9
Round 9Won21 countries · 4 lives left
SwedenvsEquatorial Guinea
Wealth per person: 68,458 vs 16,997 int’l $ · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 3 other winning choices
All eight categories for Sweden against Equatorial Guinea
Category
Sweden
Equatorial Guinea
Result
Areakm² · Higher wins ↑
450,295
28,051
Would win
Populationpeople · Higher wins ↑
10,536,632
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
68,458
16,997
Would win
Densityper km² · Higher wins ↑
23.4
65.9
Would lose
Highest peakm · Higher wins ↑
2,100
3,008
Would lose
Coastlinekm · Higher wins ↑
3,218
296
Would win
Flag colourscolours · Higher wins ↑
2
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
65.8° N
1.6° N
Would lose
10
Round 10Won22 countries · 4 lives left
BrazilvsBulgaria
Population: 211,140,729 vs 6,446,596 people · Higher wins ↑
Conquered Bulgaria.
Other category comparisons 5 other winning choices
All eight categories for Brazil against Bulgaria
Category
Brazil
Bulgaria
Result
Areakm² · Higher wins ↑
8,515,770
110,879
Would win
Populationpeople · Higher wins ↑ · Chosen
211,140,729
6,446,596
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
38,829
Would lose
Densityper km² · Higher wins ↑
24.8
58.1
Would lose
Highest peakm · Higher wins ↑
2,994
2,925
Would win
Coastlinekm · Higher wins ↑
7,491
354
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
42.5° N
Would win
11
Round 11Won23 countries · 4 lives left
PanamavsLatvia
Area: 75,420 vs 64,589 km² · Higher wins ↑
Conquered Latvia.
Other category comparisons 6 other winning choices
All eight categories for Panama against Latvia
Category
Panama
Latvia
Result
Areakm² · Higher wins ↑ · Chosen
75,420
64,589
Would win
Populationpeople · Higher wins ↑
4,458,759
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
39,846
42,784
Would lose
Densityper km² · Higher wins ↑
59.1
29.2
Would win
Highest peakm · Higher wins ↑
3,475
312
Would win
Coastlinekm · Higher wins ↑
2,490
498
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.4° N
56.6° N
Would win
12
Round 12Won24 countries · 4 lives left
MalawivsMexico
Proximity to equator: 13.4° S vs 23.5° N from the equator · Closer wins ↓
Conquered Mexico.
Other category comparisons 1 other winning choice
All eight categories for Malawi against Mexico
Category
Malawi
Mexico
Result
Areakm² · Higher wins ↑
118,484
1,964,375
Would lose
Populationpeople · Higher wins ↑
21,104,482
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑
1,832
25,188
Would lose
Densityper km² · Higher wins ↑
178.1
66.0
Would win
Highest peakm · Higher wins ↑
3,002
5,636
Would lose
Coastlinekm · Higher wins ↑
0
9,330
Would lose
Flag colourscolours · Higher wins ↑
3
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.4° S
23.5° N
Would win
13
Round 13Won25 countries · 4 lives left
SpainvsVenezuela
Coastline: 4,964 vs 2,800 km · Higher wins ↑
Conquered Venezuela.
Other category comparisons 3 other winning choices
All eight categories for Spain against Venezuela
Category
Spain
Venezuela
Result
Areakm² · Higher wins ↑
505,370
912,050
Would lose
Populationpeople · Higher wins ↑
48,352,528
28,300,854
Would win
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
55,661
Unavailable
Unavailable
Densityper km² · Higher wins ↑
95.7
31.0
Would win
Highest peakm · Higher wins ↑
3,718
4,978
Would lose
Coastlinekm · Higher wins ↑ · Chosen
4,964
2,800
Would win
Flag colourscolours · Higher wins ↑
10
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
7.2° N
Would lose
14
Round 14Won26 countries · 4 lives left
North KoreavsGambia
Population: 26,418,204 vs 2,697,845 people · Higher wins ↑
Conquered Gambia.
Other category comparisons 3 other winning choices
All eight categories for North Korea against Gambia
Category
North Korea
Gambia
Result
Areakm² · Higher wins ↑
120,538
11,300
Would win
Populationpeople · Higher wins ↑ · Chosen
26,418,204
2,697,845
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
3,292
Unavailable
Densityper km² · Higher wins ↑
219.2
238.7
Would lose
Highest peakm · Higher wins ↑
2,744
63
Would win
Coastlinekm · Higher wins ↑
2,495
80
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
13.6° N
Would lose
15
Round 15Won27 countries · 4 lives left
TurkmenistanvsPhilippines
Highest peak: 3,139 vs 2,954 m · Higher wins ↑
Conquered Philippines.
Other category comparisons 3 other winning choices
All eight categories for Turkmenistan against Philippines
Category
Turkmenistan
Philippines
Result
Areakm² · Higher wins ↑
488,100
300,000
Would win
Populationpeople · Higher wins ↑
7,364,438
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑
19,645
10,995
Would win
Densityper km² · Higher wins ↑
15.1
383.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
3,139
2,954
Would win
Coastlinekm · Higher wins ↑
0
36,289
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
17.0° N
Would lose
16
Round 16Won28 countries · 4 lives left
MalivsJamaica
Area: 1,240,192 vs 10,991 km² · Higher wins ↑
Conquered Jamaica.
Other category comparisons 1 other winning choice
All eight categories for Mali against Jamaica
Category
Mali
Jamaica
Result
Areakm² · Higher wins ↑ · Chosen
1,240,192
10,991
Would win
Populationpeople · Higher wins ↑
23,769,127
2,839,786
Would win
Wealth per personint’l $ · Higher wins ↑
3,178
12,661
Would lose
Densityper km² · Higher wins ↑
19.2
258.4
Would lose
Highest peakm · Higher wins ↑
1,155
2,256
Would lose
Coastlinekm · Higher wins ↑
0
1,022
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
18.6° N
18.1° N
Would lose
17
Round 17Won29 countries · 4 lives left
PeruvsLibya
Highest peak: 6,746 vs 2,267 m · Higher wins ↑
Conquered Libya.
Other category comparisons 5 other winning choices
All eight categories for Peru against Libya
Category
Peru
Libya
Result
Areakm² · Higher wins ↑
1,285,216
1,759,540
Would lose
Populationpeople · Higher wins ↑
33,845,617
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
13,858
Would win
Densityper km² · Higher wins ↑
26.3
4.2
Would win
Highest peakm · Higher wins ↑ · Chosen
6,746
2,267
Would win
Coastlinekm · Higher wins ↑
2,414
1,770
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
26.1° N
Would win
18
Round 18Won30 countries · 4 lives left
New ZealandvsMalaysia
Wealth per person: 54,950 vs 36,497 int’l $ · Higher wins ↑
Conquered Malaysia.
Other category comparisons 1 other winning choice
All eight categories for New Zealand against Malaysia
Category
New Zealand
Malaysia
Result
Areakm² · Higher wins ↑
268,838
329,847
Would lose
Populationpeople · Higher wins ↑
5,200,000
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,950
36,497
Would win
Densityper km² · Higher wins ↑
19.3
106.5
Would lose
Highest peakm · Higher wins ↑
3,724
4,095
Would lose
Coastlinekm · Higher wins ↑
15,134
4,675
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
4.4° N
Would lose
19
Round 19Won31 countries · 4 lives left
Papua New GuineavsLebanon
Area: 462,840 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 5 other winning choices
All eight categories for Papua New Guinea against Lebanon
Category
Papua New Guinea
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
462,840
10,400
Would win
Populationpeople · Higher wins ↑
10,389,635
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
4,672
12,585
Would lose
Densityper km² · Higher wins ↑
22.4
555.1
Would lose
Highest peakm · Higher wins ↑
4,509
3,088
Would win
Coastlinekm · Higher wins ↑
5,152
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
34.2° N
Would win
20
Round 20Won32 countries · 4 lives left
FrancevsTogo
Area: 551,500 vs 56,785 km² · Higher wins ↑
Conquered Togo.
Other category comparisons 4 other winning choices
All eight categories for France against Togo
Category
France
Togo
Result
Areakm² · Higher wins ↑ · Chosen
551,500
56,785
Would win
Populationpeople · Higher wins ↑
65,925,961
8,223,850
Would win
Wealth per personint’l $ · Higher wins ↑
60,927
3,572
Would win
Densityper km² · Higher wins ↑
119.5
144.8
Would lose
Highest peakm · Higher wins ↑
4,810
986
Would win
Coastlinekm · Higher wins ↑
3,427
56
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓