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
28Wins
2Losses
0Ties
Explore the final empire · 38 countries
No countries match your search.
The path through the world
One choice at a time.
30 rounds
Where it began · 12 countries
Indonesia · Zambia · North Korea · Lebanon · India · Moldova · Canada · Bolivia · Tajikistan · New Zealand · Burundi · Haiti
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
IndonesiavsTimor-Leste
Population: 281,190,067 vs 1,384,286 people · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 6 other winning choices
All eight categories for Indonesia against Timor-Leste
Category
Indonesia
Timor-Leste
Result
Areakm² · Higher wins ↑
1,904,569
14,874
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
4,811
Would win
Densityper km² · Higher wins ↑
147.6
93.1
Would win
Highest peakm · Higher wins ↑
4,884
2,963
Would win
Coastlinekm · Higher wins ↑
54,716
706
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
8.9° S
Would win
2
Round 2Won14 countries · 4 lives left
ZambiavsFiji
Area: 752,618 vs 18,274 km² · Higher wins ↑
Conquered Fiji.
Other category comparisons 3 other winning choices
All eight categories for Zambia against Fiji
Category
Zambia
Fiji
Result
Areakm² · Higher wins ↑ · Chosen
752,618
18,274
Would win
Populationpeople · Higher wins ↑
20,723,965
924,145
Would win
Wealth per personint’l $ · Higher wins ↑
4,080
14,656
Would lose
Densityper km² · Higher wins ↑
27.5
50.6
Would lose
Highest peakm · Higher wins ↑
2,330
1,324
Would win
Coastlinekm · Higher wins ↑
0
1,129
Would lose
Flag colourscolours · Higher wins ↑
4
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
14.7° S
17.8° S
Would win
3
Round 3Won15 countries · 4 lives left
North KoreavsGuinea-Bissau
Population: 26,418,204 vs 2,153,339 people · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 4 other winning choices
All eight categories for North Korea against Guinea-Bissau
Category
North Korea
Guinea-Bissau
Result
Areakm² · Higher wins ↑
120,538
36,125
Would win
Populationpeople · Higher wins ↑ · Chosen
26,418,204
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
2,956
Unavailable
Densityper km² · Higher wins ↑
219.2
59.6
Would win
Highest peakm · Higher wins ↑
2,744
277
Would win
Coastlinekm · Higher wins ↑
2,495
350
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
12.1° N
Would lose
4
Round 4Won16 countries · 4 lives left
LebanonvsEgypt
Density: 555.1 vs 114.4 per km² · Higher wins ↑
Conquered Egypt.
Other category comparisons 1 other winning choice
All eight categories for Lebanon against Egypt
Category
Lebanon
Egypt
Result
Areakm² · Higher wins ↑
10,400
1,001,450
Would lose
Populationpeople · Higher wins ↑
5,773,493
114,535,772
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
18,540
Would lose
Densityper km² · Higher wins ↑ · Chosen
555.1
114.4
Would win
Highest peakm · Higher wins ↑
3,088
2,629
Would win
Coastlinekm · Higher wins ↑
225
2,450
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
26.3° N
Would lose
5
Round 5Won17 countries · 4 lives left
IndiavsEquatorial Guinea
Population: 1,438,069,596 vs 1,847,549 people · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 4 other winning choices
All eight categories for India against Equatorial Guinea
Category
India
Equatorial Guinea
Result
Areakm² · Higher wins ↑
3,287,263
28,051
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
16,997
Would lose
Densityper km² · Higher wins ↑
437.5
65.9
Would win
Highest peakm · Higher wins ↑
8,586
3,008
Would win
Coastlinekm · Higher wins ↑
7,000
296
Would win
Flag colourscolours · Higher wins ↑
4
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
1.6° N
Would lose
6
Round 6Won18 countries · 4 lives left
MoldovavsMali
Density: 72.6 vs 19.2 per km² · Higher wins ↑
Conquered Mali.
Other category comparisons 2 other winning choices
All eight categories for Moldova against Mali
Category
Moldova
Mali
Result
Areakm² · Higher wins ↑
33,851
1,240,192
Would lose
Populationpeople · Higher wins ↑
2,457,783
23,769,127
Would lose
Wealth per personint’l $ · Higher wins ↑
17,751
3,178
Would win
Densityper km² · Higher wins ↑ · Chosen
72.6
19.2
Would win
Highest peakm · Higher wins ↑
430
1,155
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
18.6° N
Would lose
7
Round 7Won19 countries · 4 lives left
CanadavsOman
Area: 9,984,670 vs 309,500 km² · Higher wins ↑
Conquered Oman.
Other category comparisons 4 other winning choices
All eight categories for Canada against Oman
Category
Canada
Oman
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
309,500
Would win
Populationpeople · Higher wins ↑
40,049,088
5,049,269
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
41,980
Would win
Densityper km² · Higher wins ↑
4.0
16.3
Would lose
Highest peakm · Higher wins ↑
5,959
3,004
Would win
Coastlinekm · Higher wins ↑
202,080
2,092
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
22.1° N
Would lose
8
Round 8Won20 countries · 4 lives left
BoliviavsAlgeria
Highest peak: 6,542 vs 2,908 m · Higher wins ↑
Conquered Algeria.
Other category comparisons 2 other winning choices
All eight categories for Bolivia against Algeria
Category
Bolivia
Algeria
Result
Areakm² · Higher wins ↑
1,098,581
2,381,740
Would lose
Populationpeople · Higher wins ↑
12,244,159
46,164,219
Would lose
Wealth per personint’l $ · Higher wins ↑
12,903
16,838
Would lose
Densityper km² · Higher wins ↑
11.1
19.4
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,542
2,908
Would win
Coastlinekm · Higher wins ↑
0
998
Would lose
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.7° S
27.4° N
Would win
9
Round 9Won21 countries · 4 lives left
TajikistanvsGeorgia
Highest peak: 7,495 vs 5,193 m · Higher wins ↑
Conquered Georgia.
Other category comparisons 5 other winning choices
All eight categories for Tajikistan against Georgia
Category
Tajikistan
Georgia
Result
Areakm² · Higher wins ↑
144,100
69,700
Would win
Populationpeople · Higher wins ↑
10,389,799
3,715,483
Would win
Wealth per personint’l $ · Higher wins ↑
4,968
25,093
Would lose
Densityper km² · Higher wins ↑
72.1
53.3
Would win
Highest peakm · Higher wins ↑ · Chosen
7,495
5,193
Would win
Coastlinekm · Higher wins ↑
0
310
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
42.4° N
Would win
10
Round 10Won22 countries · 4 lives left
New ZealandvsLiberia
Highest peak: 3,724 vs 1,447 m · Higher wins ↑
Conquered Liberia.
Other category comparisons 3 other winning choices
All eight categories for New Zealand against Liberia
Category
New Zealand
Liberia
Result
Areakm² · Higher wins ↑
268,838
111,369
Would win
Populationpeople · Higher wins ↑
5,200,000
5,493,031
Would lose
Wealth per personint’l $ · Higher wins ↑
54,950
1,796
Would win
Densityper km² · Higher wins ↑
19.3
49.3
Would lose
Highest peakm · Higher wins ↑ · Chosen
3,724
1,447
Would win
Coastlinekm · Higher wins ↑
15,134
579
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
7.0° N
Would lose
11
Round 11Won23 countries · 4 lives left
BurundivsPhilippines
Density: 491.9 vs 383.0 per km² · Higher wins ↑
Conquered Philippines.
Other category comparisons 1 other winning choice
All eight categories for Burundi against Philippines
Category
Burundi
Philippines
Result
Areakm² · Higher wins ↑
27,830
300,000
Would lose
Populationpeople · Higher wins ↑
13,689,450
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑
1,147
10,995
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
383.0
Would win
Highest peakm · Higher wins ↑
2,685
2,954
Would lose
Coastlinekm · Higher wins ↑
0
36,289
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
17.0° N
Would win
12
Round 12Won24 countries · 4 lives left
HaitivsHonduras
Density: 419.4 vs 95.0 per km² · Higher wins ↑
Conquered Honduras.
Other category comparisons 3 other winning choices
All eight categories for Haiti against Honduras
Category
Haiti
Honduras
Result
Areakm² · Higher wins ↑
27,750
112,090
Would lose
Populationpeople · Higher wins ↑
11,637,398
10,644,851
Would win
Wealth per personint’l $ · Higher wins ↑
3,265
7,184
Would lose
Densityper km² · Higher wins ↑ · Chosen
419.4
95.0
Would win
Highest peakm · Higher wins ↑
2,674
2,870
Would lose
Coastlinekm · Higher wins ↑
1,771
823
Would win
Flag colourscolours · Higher wins ↑
7
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.2° N
14.7° N
Would lose
13
Round 13Won25 countries · 4 lives left
IndonesiavsMadagascar
Population: 281,190,067 vs 31,195,932 people · Higher wins ↑
Conquered Madagascar.
Other category comparisons 6 other winning choices
All eight categories for Indonesia against Madagascar
Category
Indonesia
Madagascar
Result
Areakm² · Higher wins ↑
1,904,569
587,041
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
31,195,932
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
1,810
Would win
Densityper km² · Higher wins ↑
147.6
53.1
Would win
Highest peakm · Higher wins ↑
4,884
2,876
Would win
Coastlinekm · Higher wins ↑
54,716
4,828
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
18.4° S
Would win
14
Round 14Lost24 countries · 3 lives left
Timor-LestevsGuatemala
Area: 14,874 vs 108,889 km² · Higher wins ↑
Returned to the world: Timor-Leste.
Other category comparisons 2 other winning choices
All eight categories for Timor-Leste against Guatemala
Category
Timor-Leste
Guatemala
Result
Areakm² · Higher wins ↑ · Chosen
14,874
108,889
Would lose
Populationpeople · Higher wins ↑
1,384,286
18,124,838
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
13,752
Would lose
Densityper km² · Higher wins ↑
93.1
166.5
Would lose
Highest peakm · Higher wins ↑
2,963
4,220
Would lose
Coastlinekm · Higher wins ↑
706
400
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
15.0° N
Would win
15
Round 15Won25 countries · 3 lives left
ZambiavsBotswana
Proximity to equator: 14.7° S vs 22.1° S from the equator · Closer wins ↓
Conquered Botswana.
Other category comparisons 5 other winning choices
All eight categories for Zambia against Botswana
Category
Zambia
Botswana
Result
Areakm² · Higher wins ↑
752,618
581,730
Would win
Populationpeople · Higher wins ↑
20,723,965
2,480,244
Would win
Wealth per personint’l $ · Higher wins ↑
4,080
21,029
Would lose
Densityper km² · Higher wins ↑
27.5
4.3
Would win
Highest peakm · Higher wins ↑
2,330
1,495
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.7° S
22.1° S
Would win
16
Round 16Won26 countries · 3 lives left
FijivsZimbabwe
Density: 50.6 vs 41.8 per km² · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 4 other winning choices
All eight categories for Fiji against Zimbabwe
Category
Fiji
Zimbabwe
Result
Areakm² · Higher wins ↑
18,274
390,757
Would lose
Populationpeople · Higher wins ↑
924,145
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
5,796
Would win
Densityper km² · Higher wins ↑ · Chosen
50.6
41.8
Would win
Highest peakm · Higher wins ↑
1,324
2,592
Would lose
Coastlinekm · Higher wins ↑
1,129
0
Would win
Flag colourscolours · Higher wins ↑
8
6
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.8° S
19.0° S
Would win
17
Round 17Won27 countries · 3 lives left
North KoreavsTurkmenistan
Population: 26,418,204 vs 7,364,438 people · Higher wins ↑
Conquered Turkmenistan.
Other category comparisons 2 other winning choices
All eight categories for North Korea against Turkmenistan
Category
North Korea
Turkmenistan
Result
Areakm² · Higher wins ↑
120,538
488,100
Would lose
Populationpeople · Higher wins ↑ · Chosen
26,418,204
7,364,438
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
19,645
Unavailable
Densityper km² · Higher wins ↑
219.2
15.1
Would win
Highest peakm · Higher wins ↑
2,744
3,139
Would lose
Coastlinekm · Higher wins ↑
2,495
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
39.9° N
Would tie
18
Round 18Won28 countries · 3 lives left
Guinea-BissauvsPoland
Proximity to equator: 12.1° N vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 1 other winning choice
All eight categories for Guinea-Bissau against Poland
Category
Guinea-Bissau
Poland
Result
Areakm² · Higher wins ↑
36,125
312,685
Would lose
Populationpeople · Higher wins ↑
2,153,339
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
48,473
Would lose
Densityper km² · Higher wins ↑
59.6
117.3
Would lose
Highest peakm · Higher wins ↑
277
2,499
Would lose
Coastlinekm · Higher wins ↑
350
440
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
51.9° N
Would win
19
Round 19Won29 countries · 3 lives left
LebanonvsKazakhstan
Proximity to equator: 34.2° N vs 48.5° N from the equator · Closer wins ↓
Conquered Kazakhstan.
Other category comparisons 3 other winning choices
All eight categories for Lebanon against Kazakhstan
Category
Lebanon
Kazakhstan
Result
Areakm² · Higher wins ↑
10,400
2,724,900
Would lose
Populationpeople · Higher wins ↑
5,773,493
20,330,104
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
38,547
Would lose
Densityper km² · Higher wins ↑
555.1
7.5
Would win
Highest peakm · Higher wins ↑
3,088
7,010
Would lose
Coastlinekm · Higher wins ↑
225
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
34.2° N
48.5° N
Would win
20
Round 20Won30 countries · 3 lives left
EgyptvsUganda
Population: 114,535,772 vs 48,656,601 people · Higher wins ↑
Conquered Uganda.
Other category comparisons 3 other winning choices
All eight categories for Egypt against Uganda
Category
Egypt
Uganda
Result
Areakm² · Higher wins ↑
1,001,450
241,038
Would win
Populationpeople · Higher wins ↑ · Chosen
114,535,772
48,656,601
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
3,100
Would win
Densityper km² · Higher wins ↑
114.4
201.9
Would lose
Highest peakm · Higher wins ↑
2,629
5,110
Would lose
Coastlinekm · Higher wins ↑
2,450
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Indonesiavs
Timor-Leste
Zambia
Fiji
North Korea
Guinea-Bissau
Lebanon
Egypt
India
Equatorial Guinea
Moldova
Mali
Canada
Oman
Bolivia
Algeria
Tajikistan
Georgia
New Zealand
Liberia
Burundi
Philippines
Haiti
Honduras
Madagascar
Guatemala
Botswana
Zimbabwe
Turkmenistan
Poland
Kazakhstan
Uganda