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
41Wins
4Losses
0Ties
Explore the final empire · 49 countries
No countries match your search.
The path through the world
One choice at a time.
45 rounds
Where it began · 12 countries
Burkina Faso · Madagascar · Dominican Republic · Russia · North Korea · Laos · Malawi · Malaysia · El Salvador · Switzerland · Haiti · Fiji
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
21
Round 21Won31 countries · 3 lives left
North KoreavsQatar
Population: 26,418,204 vs 2,656,032 people · Higher wins ↑
Conquered Qatar.
Other category comparisons 4 other winning choices
All eight categories for North Korea against Qatar
Category
North Korea
Qatar
Result
Areakm² · Higher wins ↑
120,538
11,586
Would win
Populationpeople · Higher wins ↑ · Chosen
26,418,204
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
129,025
Unavailable
Densityper km² · Higher wins ↑
219.2
229.2
Would lose
Highest peakm · Higher wins ↑
2,744
103
Would win
Coastlinekm · Higher wins ↑
2,495
563
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
25.1° N
Would lose
22
Round 22Won32 countries · 3 lives left
PortugalvsSingapore
Area: 92,090 vs 719 km² · Higher wins ↑
Conquered Singapore.
Other category comparisons 4 other winning choices
All eight categories for Portugal against Singapore
Category
Portugal
Singapore
Result
Areakm² · Higher wins ↑ · Chosen
92,090
719
Would win
Populationpeople · Higher wins ↑
10,578,174
5,917,648
Would win
Wealth per personint’l $ · Higher wins ↑
49,800
144,728
Would lose
Densityper km² · Higher wins ↑
114.9
8,230.4
Would lose
Highest peakm · Higher wins ↑
2,351
166
Would win
Coastlinekm · Higher wins ↑
1,793
193
Would win
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.7° N
1.4° N
Would lose
23
Round 23Won33 countries · 3 lives left
LaosvsLibya
Density: 32.4 vs 4.2 per km² · Higher wins ↑
Conquered Libya.
Other category comparisons 3 other winning choices
All eight categories for Laos against Libya
Category
Laos
Libya
Result
Areakm² · Higher wins ↑
236,800
1,759,540
Would lose
Populationpeople · Higher wins ↑
7,664,993
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
9,299
13,858
Would lose
Densityper km² · Higher wins ↑ · Chosen
32.4
4.2
Would win
Highest peakm · Higher wins ↑
2,817
2,267
Would win
Coastlinekm · Higher wins ↑
0
1,770
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
19.6° N
26.1° N
Would win
24
Round 24Won34 countries · 3 lives left
AfghanistanvsTimor-Leste
Area: 652,230 vs 14,874 km² · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 3 other winning choices
All eight categories for Afghanistan against Timor-Leste
Category
Afghanistan
Timor-Leste
Result
Areakm² · Higher wins ↑ · Chosen
652,230
14,874
Would win
Populationpeople · Higher wins ↑
41,454,761
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑
2,204
4,811
Would lose
Densityper km² · Higher wins ↑
63.6
93.1
Would lose
Highest peakm · Higher wins ↑
7,492
2,963
Would win
Coastlinekm · Higher wins ↑
0
706
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
8.9° S
Would lose
25
Round 25Won35 countries · 3 lives left
MalawivsMyanmar
Proximity to equator: 13.4° S vs 21.6° N from the equator · Closer wins ↓
Conquered Myanmar.
Other category comparisons 1 other winning choice
All eight categories for Malawi against Myanmar
Category
Malawi
Myanmar
Result
Areakm² · Higher wins ↑
118,484
676,578
Would lose
Populationpeople · Higher wins ↑
21,104,482
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑
1,832
5,958
Would lose
Densityper km² · Higher wins ↑
178.1
80.0
Would win
Highest peakm · Higher wins ↑
3,002
5,870
Would lose
Coastlinekm · Higher wins ↑
0
1,930
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.4° S
21.6° N
Would win
26
Round 26Won36 countries · 3 lives left
TajikistanvsUkraine
Highest peak: 7,495 vs 2,061 m · Higher wins ↑
Conquered Ukraine.
Other category comparisons 3 other winning choices
All eight categories for Tajikistan against Ukraine
Category
Tajikistan
Ukraine
Result
Areakm² · Higher wins ↑
144,100
603,550
Would lose
Populationpeople · Higher wins ↑
10,389,799
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑
4,968
17,680
Would lose
Densityper km² · Higher wins ↑
72.1
62.5
Would win
Highest peakm · Higher wins ↑ · Chosen
7,495
2,061
Would win
Coastlinekm · Higher wins ↑
0
2,782
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
49.6° N
Would win
27
Round 27Won37 countries · 3 lives left
MalaysiavsBelize
Area: 329,847 vs 22,966 km² · Higher wins ↑
Conquered Belize.
Other category comparisons 6 other winning choices
All eight categories for Malaysia against Belize
Category
Malaysia
Belize
Result
Areakm² · Higher wins ↑ · Chosen
329,847
22,966
Would win
Populationpeople · Higher wins ↑
35,126,298
411,106
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
13,741
Would win
Densityper km² · Higher wins ↑
106.5
17.9
Would win
Highest peakm · Higher wins ↑
4,095
1,124
Would win
Coastlinekm · Higher wins ↑
4,675
386
Would win
Flag colourscolours · Higher wins ↑
4
12
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
17.0° N
Would win
28
Round 28Won38 countries · 3 lives left
IsraelvsChina
Wealth per person: 55,301 vs 25,200 int’l $ · Higher wins ↑
Conquered China.
Other category comparisons 2 other winning choices
All eight categories for Israel against China
Category
Israel
China
Result
Areakm² · Higher wins ↑
21,937
9,596,960
Would lose
Populationpeople · Higher wins ↑
9,849,000
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
55,301
25,200
Would win
Densityper km² · Higher wins ↑
449.0
147.0
Would win
Highest peakm · Higher wins ↑
2,224
8,849
Would lose
Coastlinekm · Higher wins ↑
273
14,500
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
30.9° N
32.5° N
Would win
29
Round 29Won39 countries · 3 lives left
El SalvadorvsBelarus
Coastline: 307 vs 0 km · Higher wins ↑
Conquered Belarus.
Other category comparisons 4 other winning choices
All eight categories for El Salvador against Belarus
Category
El Salvador
Belarus
Result
Areakm² · Higher wins ↑
21,041
207,600
Would lose
Populationpeople · Higher wins ↑
6,309,624
9,178,298
Would lose
Wealth per personint’l $ · Higher wins ↑
12,667
30,860
Would lose
Densityper km² · Higher wins ↑
299.9
44.2
Would win
Highest peakm · Higher wins ↑
2,730
346
Would win
Coastlinekm · Higher wins ↑ · Chosen
307
0
Would win
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.9° N
53.8° N
Would win
30
Round 30Lost38 countries · 2 lives left
MontenegrovsSpain
Density: 45.1 vs 95.7 per km² · Higher wins ↑
Returned to the world: Montenegro.
Other category comparisons 0 other winning choices
All eight categories for Montenegro against Spain
Category
Montenegro
Spain
Result
Areakm² · Higher wins ↑
13,812
505,370
Would lose
Populationpeople · Higher wins ↑
623,529
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑
31,863
55,661
Would lose
Densityper km² · Higher wins ↑ · Chosen
45.1
95.7
Would lose
Highest peakm · Higher wins ↑
2,534
3,718
Would lose
Coastlinekm · Higher wins ↑
293.5
4,964
Would lose
Flag colourscolours · Higher wins ↑
5
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.8° N
40.0° N
Would lose
31
Round 31Won39 countries · 2 lives left
SwitzerlandvsNew Zealand
Wealth per person: 93,940 vs 54,950 int’l $ · Higher wins ↑
Conquered New Zealand.
Other category comparisons 3 other winning choices
All eight categories for Switzerland against New Zealand
Category
Switzerland
New Zealand
Result
Areakm² · Higher wins ↑
41,277
268,838
Would lose
Populationpeople · Higher wins ↑
8,888,822
5,200,000
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
54,950
Would win
Densityper km² · Higher wins ↑
215.3
19.3
Would win
Highest peakm · Higher wins ↑
4,634
3,724
Would win
Coastlinekm · Higher wins ↑
0
15,134
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
45.3° S
Would lose
32
Round 32Won40 countries · 2 lives left
CzechiavsKazakhstan
Wealth per person: 56,062 vs 38,547 int’l $ · Higher wins ↑
Conquered Kazakhstan.
Other category comparisons 2 other winning choices
All eight categories for Czechia against Kazakhstan
Category
Czechia
Kazakhstan
Result
Areakm² · Higher wins ↑
78,867
2,724,900
Would lose
Populationpeople · Higher wins ↑
10,864,042
20,330,104
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
38,547
Would win
Densityper km² · Higher wins ↑
137.8
7.5
Would win
Highest peakm · Higher wins ↑
1,602
7,010
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
48.5° N
Would lose
33
Round 33Won41 countries · 2 lives left
HaitivsCanada
Density: 419.4 vs 4.0 per km² · Higher wins ↑
Conquered Canada.
Other category comparisons 2 other winning choices
All eight categories for Haiti against Canada
Category
Haiti
Canada
Result
Areakm² · Higher wins ↑
27,750
9,984,670
Would lose
Populationpeople · Higher wins ↑
11,637,398
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
3,265
64,962
Would lose
Densityper km² · Higher wins ↑ · Chosen
419.4
4.0
Would win
Highest peakm · Higher wins ↑
2,674
5,959
Would lose
Coastlinekm · Higher wins ↑
1,771
202,080
Would lose
Flag colourscolours · Higher wins ↑
7
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.2° N
58.8° N
Would win
34
Round 34Won42 countries · 2 lives left
RomaniavsEquatorial Guinea
Area: 238,391 vs 28,051 km² · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 3 other winning choices
All eight categories for Romania against Equatorial Guinea
Category
Romania
Equatorial Guinea
Result
Areakm² · Higher wins ↑ · Chosen
238,391
28,051
Would win
Populationpeople · Higher wins ↑
19,061,062
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑
45,982
16,997
Would win
Densityper km² · Higher wins ↑
80.0
65.9
Would win
Highest peakm · Higher wins ↑
2,544
3,008
Would lose
Coastlinekm · Higher wins ↑
225
296
Would lose
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.7° N
1.6° N
Would lose
35
Round 35Won43 countries · 2 lives left
FijivsAngola
Density: 50.6 vs 29.5 per km² · Higher wins ↑
Conquered Angola.
Other category comparisons 2 other winning choices
All eight categories for Fiji against Angola
Category
Fiji
Angola
Result
Areakm² · Higher wins ↑
18,274
1,246,700
Would lose
Populationpeople · Higher wins ↑
924,145
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
9,550
Would win
Densityper km² · Higher wins ↑ · Chosen
50.6
29.5
Would win
Highest peakm · Higher wins ↑
1,324
2,620
Would lose
Coastlinekm · Higher wins ↑
1,129
1,600
Would lose
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.8° S
13.2° S
Would lose
36
Round 36Won44 countries · 2 lives left
IranvsPanama
Area: 1,648,195 vs 75,420 km² · Higher wins ↑
Conquered Panama.
Other category comparisons 2 other winning choices
All eight categories for Iran against Panama
Category
Iran
Panama
Result
Areakm² · Higher wins ↑ · Chosen
1,648,195
75,420
Would win
Populationpeople · Higher wins ↑
90,608,707
4,458,759
Would win
Wealth per personint’l $ · Higher wins ↑
18,933
39,846
Would lose
Densityper km² · Higher wins ↑
55.0
59.1
Would lose
Highest peakm · Higher wins ↑
5,625
3,475
Would win
Coastlinekm · Higher wins ↑
2,440
2,490
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
8.4° N
Would lose
37
Round 37Won45 countries · 2 lives left
Burkina FasovsBhutan
Proximity to equator: 12.8° N vs 27.5° N from the equator · Closer wins ↓
Conquered Bhutan.
Other category comparisons 3 other winning choices
All eight categories for Burkina Faso against Bhutan
Category
Burkina Faso
Bhutan
Result
Areakm² · Higher wins ↑
274,200
38,394
Would win
Populationpeople · Higher wins ↑
23,025,776
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
16,229
Would lose
Densityper km² · Higher wins ↑
84.0
20.5
Would win
Highest peakm · Higher wins ↑
749
7,570
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.8° N
27.5° N
Would win
38
Round 38Won46 countries · 2 lives left
ArmeniavsSlovenia
Highest peak: 4,090 vs 2,864 m · Higher wins ↑
Conquered Slovenia.
Other category comparisons 3 other winning choices
All eight categories for Armenia against Slovenia
Category
Armenia
Slovenia
Result
Areakm² · Higher wins ↑
29,743
20,273
Would win
Populationpeople · Higher wins ↑
2,964,300
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
21,552
56,151
Would lose
Densityper km² · Higher wins ↑
99.7
104.6
Would lose
Highest peakm · Higher wins ↑ · Chosen
4,090
2,864
Would win
Coastlinekm · Higher wins ↑
0
46.6
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
40.6° N
46.0° N
Would win
39
Round 39Won47 countries · 2 lives left
MadagascarvsNetherlands
Area: 587,041 vs 41,543 km² · Higher wins ↑
Conquered Netherlands.
Other category comparisons 4 other winning choices
All eight categories for Madagascar against Netherlands
Category
Madagascar
Netherlands
Result
Areakm² · Higher wins ↑ · Chosen
587,041
41,543
Would win
Populationpeople · Higher wins ↑
31,195,932
17,877,117
Would win
Wealth per personint’l $ · Higher wins ↑
1,810
80,392
Would lose
Densityper km² · Higher wins ↑
53.1
430.3
Would lose
Highest peakm · Higher wins ↑
2,876
322
Would win
Coastlinekm · Higher wins ↑
4,828
451
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
18.4° S
52.2° N
Would win
40
Round 40Won48 countries · 2 lives left
LithuaniavsPoland
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Poland.
Other category comparisons 1 other winning choice
All eight categories for Lithuania against Poland
Category
Lithuania
Poland
Result
Areakm² · Higher wins ↑
65,300
312,685
Would lose
Populationpeople · Higher wins ↑
2,871,585
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
52,720
48,473
Would win
Densityper km² · Higher wins ↑
44.0
117.3
Would lose
Highest peakm · Higher wins ↑
294
2,499
Would lose
Coastlinekm · Higher wins ↑
90
440
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
North Koreavs
Qatar
Portugal
Singapore
Laos
Libya
Afghanistan
Timor-Leste
Malawi
Myanmar
Tajikistan
Ukraine
Malaysia
Belize
Israel
China
El Salvador
Belarus
Montenegro
Spain
Switzerland
New Zealand
Czechia
Kazakhstan
Haiti
Canada
Romania
Equatorial Guinea
Fiji
Angola
Iran
Panama
Burkina Faso
Bhutan
Armenia
Slovenia
Madagascar
Netherlands
Lithuania
Poland