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
43Wins
2Losses
0Ties
Explore the final empire · 53 countries
No countries match your search.
The path through the world
One choice at a time.
45 rounds
Where it began · 12 countries
Republic of the Congo · Finland · Solomon Islands · Bhutan · North Macedonia · Somalia · Nicaragua · Latvia · Benin · Myanmar · South Sudan · Syria
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 21Lost31 countries · 3 lives left
North MacedoniavsChile
Wealth per person: 25,354 vs 33,174 int’l $ · Higher wins ↑
Returned to the world: North Macedonia.
Other category comparisons 1 other winning choice
All eight categories for North Macedonia against Chile
Category
North Macedonia
Chile
Result
Areakm² · Higher wins ↑
25,713
756,102
Would lose
Populationpeople · Higher wins ↑
1,827,816
19,658,835
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,354
33,174
Would lose
Densityper km² · Higher wins ↑
71.1
26.0
Would win
Highest peakm · Higher wins ↑
2,764
6,893
Would lose
Coastlinekm · Higher wins ↑
0
6,435
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
23.4° S
Would lose
22
Round 22Won32 countries · 3 lives left
IsraelvsNorth Korea
Density: 449.0 vs 219.2 per km² · Higher wins ↑
Conquered North Korea.
Other category comparisons 1 other winning choice
All eight categories for Israel against North Korea
Category
Israel
North Korea
Result
Areakm² · Higher wins ↑
21,937
120,538
Would lose
Populationpeople · Higher wins ↑
9,849,000
26,418,204
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
55,301
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
449.0
219.2
Would win
Highest peakm · Higher wins ↑
2,224
2,744
Would lose
Coastlinekm · Higher wins ↑
273
2,495
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
30.9° N
39.9° N
Would win
23
Round 23Won33 countries · 3 lives left
SomaliavsNepal
Coastline: 3,025 vs 0 km · Higher wins ↑
Conquered Nepal.
Other category comparisons 2 other winning choices
All eight categories for Somalia against Nepal
Category
Somalia
Nepal
Result
Areakm² · Higher wins ↑
637,657
147,181
Would win
Populationpeople · Higher wins ↑
18,358,615
29,694,614
Would lose
Wealth per personint’l $ · Higher wins ↑
1,557
5,400
Would lose
Densityper km² · Higher wins ↑
28.8
201.8
Would lose
Highest peakm · Higher wins ↑
2,460
8,849
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,025
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
29.0° N
Would win
24
Round 24Won34 countries · 3 lives left
ChadvsHungary
Area: 1,284,000 vs 93,028 km² · Higher wins ↑
Conquered Hungary.
Other category comparisons 3 other winning choices
All eight categories for Chad against Hungary
Category
Chad
Hungary
Result
Areakm² · Higher wins ↑ · Chosen
1,284,000
93,028
Would win
Populationpeople · Higher wins ↑
19,319,064
9,592,186
Would win
Wealth per personint’l $ · Higher wins ↑
2,703
46,376
Would lose
Densityper km² · Higher wins ↑
15.0
103.1
Would lose
Highest peakm · Higher wins ↑
3,445
1,014
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.3° N
47.3° N
Would win
25
Round 25Won35 countries · 3 lives left
NicaraguavsNiger
Coastline: 910 vs 0 km · Higher wins ↑
Conquered Niger.
Other category comparisons 5 other winning choices
All eight categories for Nicaragua against Niger
Category
Nicaragua
Niger
Result
Areakm² · Higher wins ↑
130,370
1,267,000
Would lose
Populationpeople · Higher wins ↑
6,823,613
26,159,867
Would lose
Wealth per personint’l $ · Higher wins ↑
8,327
1,903
Would win
Densityper km² · Higher wins ↑
52.3
20.6
Would win
Highest peakm · Higher wins ↑
2,085
2,022
Would win
Coastlinekm · Higher wins ↑ · Chosen
910
0
Would win
Flag colourscolours · Higher wins ↑
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
17.6° N
Would win
26
Round 26Won36 countries · 3 lives left
GhanavsAngola
Proximity to equator: 7.0° N vs 13.2° S from the equator · Closer wins ↓
Conquered Angola.
Other category comparisons 2 other winning choices
All eight categories for Ghana against Angola
Category
Ghana
Angola
Result
Areakm² · Higher wins ↑
238,533
1,246,700
Would lose
Populationpeople · Higher wins ↑
33,787,914
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑
7,563
9,550
Would lose
Densityper km² · Higher wins ↑
141.6
29.5
Would win
Highest peakm · Higher wins ↑
885
2,620
Would lose
Coastlinekm · Higher wins ↑
539
1,600
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
13.2° S
Would win
27
Round 27Won37 countries · 3 lives left
LatviavsLaos
Wealth per person: 42,784 vs 9,299 int’l $ · Higher wins ↑
Conquered Laos.
Other category comparisons 1 other winning choice
All eight categories for Latvia against Laos
Category
Latvia
Laos
Result
Areakm² · Higher wins ↑
64,589
236,800
Would lose
Populationpeople · Higher wins ↑
1,883,710
7,664,993
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,784
9,299
Would win
Densityper km² · Higher wins ↑
29.2
32.4
Would lose
Highest peakm · Higher wins ↑
312
2,817
Would lose
Coastlinekm · Higher wins ↑
498
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
19.6° N
Would lose
28
Round 28Won38 countries · 3 lives left
BangladeshvsBotswana
Population: 171,466,990 vs 2,480,244 people · Higher wins ↑
Conquered Botswana.
Other category comparisons 2 other winning choices
All eight categories for Bangladesh against Botswana
Category
Bangladesh
Botswana
Result
Areakm² · Higher wins ↑
148,460
581,730
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
2,480,244
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
21,029
Would lose
Densityper km² · Higher wins ↑
1,155.0
4.3
Would win
Highest peakm · Higher wins ↑
1,060
1,495
Would lose
Coastlinekm · Higher wins ↑
580
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
22.1° S
Would lose
29
Round 29Won39 countries · 3 lives left
BeninvsMexico
Proximity to equator: 10.4° N vs 23.5° N from the equator · Closer wins ↓
Conquered Mexico.
Other category comparisons 1 other winning choice
All eight categories for Benin against Mexico
Category
Benin
Mexico
Result
Areakm² · Higher wins ↑
112,622
1,964,375
Would lose
Populationpeople · Higher wins ↑
14,111,034
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑
4,133
25,188
Would lose
Densityper km² · Higher wins ↑
125.3
66.0
Would win
Highest peakm · Higher wins ↑
675
5,636
Would lose
Coastlinekm · Higher wins ↑
121
9,330
Would lose
Flag colourscolours · Higher wins ↑
3
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.4° N
23.5° N
Would win
30
Round 30Won40 countries · 3 lives left
NigeriavsEthiopia
Population: 227,882,945 vs 128,691,692 people · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 3 other winning choices
All eight categories for Nigeria against Ethiopia
Category
Nigeria
Ethiopia
Result
Areakm² · Higher wins ↑
923,768
1,104,300
Would lose
Populationpeople · Higher wins ↑ · Chosen
227,882,945
128,691,692
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
3,063
Would win
Densityper km² · Higher wins ↑
246.7
116.5
Would win
Highest peakm · Higher wins ↑
2,419
4,550
Would lose
Coastlinekm · Higher wins ↑
853
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
8.5° N
Would lose
31
Round 31Won41 countries · 3 lives left
MyanmarvsCanada
Population: 54,133,798 vs 40,049,088 people · Higher wins ↑
Conquered Canada.
Other category comparisons 3 other winning choices
All eight categories for Myanmar against Canada
Category
Myanmar
Canada
Result
Areakm² · Higher wins ↑
676,578
9,984,670
Would lose
Populationpeople · Higher wins ↑ · Chosen
54,133,798
40,049,088
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
64,962
Would lose
Densityper km² · Higher wins ↑
80.0
4.0
Would win
Highest peakm · Higher wins ↑
5,870
5,959
Would lose
Coastlinekm · Higher wins ↑
1,930
202,080
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
58.8° N
Would win
32
Round 32Won42 countries · 3 lives left
HondurasvsKenya
Wealth per person: 7,184 vs 6,322 int’l $ · Higher wins ↑
Conquered Kenya.
Other category comparisons 1 other winning choice
All eight categories for Honduras against Kenya
Category
Honduras
Kenya
Result
Areakm² · Higher wins ↑
112,090
580,367
Would lose
Populationpeople · Higher wins ↑
10,644,851
55,339,003
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
7,184
6,322
Would win
Densityper km² · Higher wins ↑
95.0
95.4
Would lose
Highest peakm · Higher wins ↑
2,870
5,199
Would lose
Coastlinekm · Higher wins ↑
823
536
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
14.7° N
0.4° N
Would lose
33
Round 33Won43 countries · 3 lives left
South SudanvsArgentina
Density: 17.8 vs 16.4 per km² · Higher wins ↑
Conquered Argentina.
Other category comparisons 2 other winning choices
All eight categories for South Sudan against Argentina
Category
South Sudan
Argentina
Result
Areakm² · Higher wins ↑
644,329
2,780,400
Would lose
Populationpeople · Higher wins ↑
11,483,374
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
30,246
Unavailable
Densityper km² · Higher wins ↑ · Chosen
17.8
16.4
Would win
Highest peakm · Higher wins ↑
3,187
6,962
Would lose
Coastlinekm · Higher wins ↑
0
4,989
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
31.4° S
Would win
34
Round 34Won44 countries · 3 lives left
MozambiquevsIraq
Area: 799,380 vs 438,317 km² · Higher wins ↑
Conquered Iraq.
Other category comparisons 3 other winning choices
All eight categories for Mozambique against Iraq
Category
Mozambique
Iraq
Result
Areakm² · Higher wins ↑ · Chosen
799,380
438,317
Would win
Populationpeople · Higher wins ↑
33,635,160
45,074,049
Would lose
Wealth per personint’l $ · Higher wins ↑
1,680
14,665
Would lose
Densityper km² · Higher wins ↑
42.1
102.8
Would lose
Highest peakm · Higher wins ↑
2,436
3,611
Would lose
Coastlinekm · Higher wins ↑
2,470
58
Would win
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.0° S
33.3° N
Would win
35
Round 35Won45 countries · 3 lives left
SyriavsGuinea
Highest peak: 2,814 vs 1,752 m · Higher wins ↑
Conquered Guinea.
Other category comparisons 3 other winning choices
All eight categories for Syria against Guinea
Category
Syria
Guinea
Result
Areakm² · Higher wins ↑
187,437
245,857
Would lose
Populationpeople · Higher wins ↑
23,594,623
14,405,468
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
4,337
Unavailable
Densityper km² · Higher wins ↑
125.9
58.6
Would win
Highest peakm · Higher wins ↑ · Chosen
2,814
1,752
Would win
Coastlinekm · Higher wins ↑
193
320
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
35.0° N
10.7° N
Would lose
36
Round 36Won46 countries · 3 lives left
CzechiavsCosta Rica
Wealth per person: 56,062 vs 29,248 int’l $ · Higher wins ↑
Conquered Costa Rica.
Other category comparisons 3 other winning choices
All eight categories for Czechia against Costa Rica
Category
Czechia
Costa Rica
Result
Areakm² · Higher wins ↑
78,867
51,100
Would win
Populationpeople · Higher wins ↑
10,864,042
5,105,525
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
29,248
Would win
Densityper km² · Higher wins ↑
137.8
99.9
Would win
Highest peakm · Higher wins ↑
1,602
3,819
Would lose
Coastlinekm · Higher wins ↑
0
1,290
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
10.1° N
Would lose
37
Round 37Won47 countries · 3 lives left
Republic of the CongovsSerbia
Area: 342,000 vs 77,474 km² · Higher wins ↑
Conquered Serbia.
Other category comparisons 2 other winning choices
All eight categories for Republic of the Congo against Serbia
Category
Republic of the Congo
Serbia
Result
Areakm² · Higher wins ↑ · Chosen
342,000
77,474
Would win
Populationpeople · Higher wins ↑
6,182,885
6,623,183
Would lose
Wealth per personint’l $ · Higher wins ↑
6,856
29,777
Would lose
Densityper km² · Higher wins ↑
18.1
85.5
Would lose
Highest peakm · Higher wins ↑
1,020
2,169
Would lose
Coastlinekm · Higher wins ↑
169
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
0.1° N
44.2° N
Would win
38
Round 38Won48 countries · 3 lives left
NorwayvsUnited Kingdom
Wealth per person: 107,768 vs 60,787 int’l $ · Higher wins ↑
Conquered United Kingdom.
Other category comparisons 3 other winning choices
All eight categories for Norway against United Kingdom
Category
Norway
United Kingdom
Result
Areakm² · Higher wins ↑
323,802
243,610
Would win
Populationpeople · Higher wins ↑
5,519,601
68,526,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
107,768
60,787
Would win
Densityper km² · Higher wins ↑
17.0
281.3
Would lose
Highest peakm · Higher wins ↑
2,469
1,345
Would win
Coastlinekm · Higher wins ↑
25,148
12,429
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
61.5° N
52.5° N
Would lose
39
Round 39Won49 countries · 3 lives left
KyrgyzstanvsGermany
Highest peak: 7,439 vs 2,963 m · Higher wins ↑
Conquered Germany.
Other category comparisons 1 other winning choice
All eight categories for Kyrgyzstan against Germany
Category
Kyrgyzstan
Germany
Result
Areakm² · Higher wins ↑
199,951
357,022
Would lose
Populationpeople · Higher wins ↑
7,099,750
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
7,304
72,262
Would lose
Densityper km² · Higher wins ↑
35.5
233.3
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,439
2,963
Would win
Coastlinekm · Higher wins ↑
0
2,389
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.7° N
51.0° N
Would win
40
Round 40Won50 countries · 3 lives left
Saudi ArabiavsMali
Population: 33,702,731 vs 23,769,127 people · Higher wins ↑
Conquered Mali.
Other category comparisons 4 other winning choices
All eight categories for Saudi Arabia against Mali
Category
Saudi Arabia
Mali
Result
Areakm² · Higher wins ↑
2,149,690
1,240,192
Would win
Populationpeople · Higher wins ↑ · Chosen
33,702,731
23,769,127
Would win
Wealth per personint’l $ · Higher wins ↑
71,624
3,178
Would win
Densityper km² · Higher wins ↑
15.7
19.2
Would lose
Highest peakm · Higher wins ↑
3,000
1,155
Would win
Coastlinekm · Higher wins ↑
2,640
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
North Macedoniavs
Chile
Israel
North Korea
Somalia
Nepal
Chad
Hungary
Nicaragua
Niger
Ghana
Angola
Latvia
Laos
Bangladesh
Botswana
Benin
Mexico
Nigeria
Ethiopia
Myanmar
Canada
Honduras
Kenya
South Sudan
Argentina
Mozambique
Iraq
Syria
Guinea
Czechia
Costa Rica
Republic of the Congo
Serbia
Norway
United Kingdom
Kyrgyzstan
Germany
Saudi Arabia
Mali