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Untimed expedition · Data edition 01051846d672
72Wins
4Losses
2Ties
Explore the final empire · 82 countries
No countries match your search.
The path through the world
One choice at a time.
78 rounds
Where it began · 12 countries
Philippines · Japan · Belarus · Canada · Togo · Mauritius · Djibouti · Finland · Mali · Croatia · Peru · Lithuania
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
PhilippinesvsJamaica
Population: 114,891,199 vs 2,839,786 people · Higher wins ↑
Conquered Jamaica.
Other category comparisons 6 other winning choices
All eight categories for Philippines against Jamaica
Category
Philippines
Jamaica
Result
Areakm² · Higher wins ↑
300,000
10,991
Would win
Populationpeople · Higher wins ↑ · Chosen
114,891,199
2,839,786
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
12,661
Would lose
Densityper km² · Higher wins ↑
383.0
258.4
Would win
Highest peakm · Higher wins ↑
2,954
2,256
Would win
Coastlinekm · Higher wins ↑
36,289
1,022
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
18.1° N
Would win
2
Round 2Won14 countries · 4 lives left
JapanvsSerbia
Population: 124,516,650 vs 6,623,183 people · Higher wins ↑
Conquered Serbia.
Other category comparisons 6 other winning choices
All eight categories for Japan against Serbia
Category
Japan
Serbia
Result
Areakm² · Higher wins ↑
377,915
77,474
Would win
Populationpeople · Higher wins ↑ · Chosen
124,516,650
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑
52,726
29,777
Would win
Densityper km² · Higher wins ↑
329.5
85.5
Would win
Highest peakm · Higher wins ↑
3,776
2,169
Would win
Coastlinekm · Higher wins ↑
29,751
0
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
44.2° N
Would win
3
Round 3Won15 countries · 4 lives left
BelarusvsBangladesh
Wealth per person: 30,860 vs 9,155 int’l $ · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 2 other winning choices
All eight categories for Belarus against Bangladesh
Category
Belarus
Bangladesh
Result
Areakm² · Higher wins ↑
207,600
148,460
Would win
Populationpeople · Higher wins ↑
9,178,298
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
30,860
9,155
Would win
Densityper km² · Higher wins ↑
44.2
1,155.0
Would lose
Highest peakm · Higher wins ↑
346
1,060
Would lose
Coastlinekm · Higher wins ↑
0
580
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
24.3° N
Would lose
4
Round 4Won16 countries · 4 lives left
CanadavsTanzania
Area: 9,984,670 vs 947,300 km² · Higher wins ↑
Conquered Tanzania.
Other category comparisons 3 other winning choices
All eight categories for Canada against Tanzania
Category
Canada
Tanzania
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
947,300
Would win
Populationpeople · Higher wins ↑
40,049,088
66,617,606
Would lose
Wealth per personint’l $ · Higher wins ↑
64,962
4,022
Would win
Densityper km² · Higher wins ↑
4.0
70.3
Would lose
Highest peakm · Higher wins ↑
5,959
5,895
Would win
Coastlinekm · Higher wins ↑
202,080
1,424
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
5.5° S
Would lose
5
Round 5Won17 countries · 4 lives left
TogovsHonduras
Proximity to equator: 8.9° N vs 14.7° N from the equator · Closer wins ↓
Conquered Honduras.
Other category comparisons 2 other winning choices
All eight categories for Togo against Honduras
Category
Togo
Honduras
Result
Areakm² · Higher wins ↑
56,785
112,090
Would lose
Populationpeople · Higher wins ↑
8,223,850
10,644,851
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
7,184
Would lose
Densityper km² · Higher wins ↑
144.8
95.0
Would win
Highest peakm · Higher wins ↑
986
2,870
Would lose
Coastlinekm · Higher wins ↑
56
823
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° N
14.7° N
Would win
6
Round 6Won18 countries · 4 lives left
MauritiusvsSlovenia
Coastline: 177 vs 46.6 km · Higher wins ↑
Conquered Slovenia.
Other category comparisons 2 other winning choices
All eight categories for Mauritius against Slovenia
Category
Mauritius
Slovenia
Result
Areakm² · Higher wins ↑
2,040
20,273
Would lose
Populationpeople · Higher wins ↑
1,248,647
2,120,461
Would lose
Wealth per personint’l $ · Higher wins ↑
29,403
56,151
Would lose
Densityper km² · Higher wins ↑
612.1
104.6
Would win
Highest peakm · Higher wins ↑
828
2,864
Would lose
Coastlinekm · Higher wins ↑ · Chosen
177
46.6
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
20.3° S
46.0° N
Would win
7
Round 7Lost17 countries · 3 lives left
DjiboutivsLebanon
Density: 49.7 vs 555.1 per km² · Higher wins ↑
Returned to the world: Djibouti.
Other category comparisons 4 other winning choices
All eight categories for Djibouti against Lebanon
Category
Djibouti
Lebanon
Result
Areakm² · Higher wins ↑
23,200
10,400
Would win
Populationpeople · Higher wins ↑
1,152,944
5,773,493
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
12,585
Would lose
Densityper km² · Higher wins ↑ · Chosen
49.7
555.1
Would lose
Highest peakm · Higher wins ↑
2,021
3,088
Would lose
Coastlinekm · Higher wins ↑
314
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.4° N
34.2° N
Would win
8
Round 8Won18 countries · 3 lives left
FinlandvsGuatemala
Area: 338,145 vs 108,889 km² · Higher wins ↑
Conquered Guatemala.
Other category comparisons 2 other winning choices
All eight categories for Finland against Guatemala
Category
Finland
Guatemala
Result
Areakm² · Higher wins ↑ · Chosen
338,145
108,889
Would win
Populationpeople · Higher wins ↑
5,583,911
18,124,838
Would lose
Wealth per personint’l $ · Higher wins ↑
63,467
13,752
Would win
Densityper km² · Higher wins ↑
16.5
166.5
Would lose
Highest peakm · Higher wins ↑
1,328
4,220
Would lose
Coastlinekm · Higher wins ↑
1,250
400
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
15.0° N
Would lose
9
Round 9Won19 countries · 3 lives left
MalivsGhana
Area: 1,240,192 vs 238,533 km² · Higher wins ↑
Conquered Ghana.
Other category comparisons 1 other winning choice
All eight categories for Mali against Ghana
Category
Mali
Ghana
Result
Areakm² · Higher wins ↑ · Chosen
1,240,192
238,533
Would win
Populationpeople · Higher wins ↑
23,769,127
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑
3,178
7,563
Would lose
Densityper km² · Higher wins ↑
19.2
141.6
Would lose
Highest peakm · Higher wins ↑
1,155
885
Would win
Coastlinekm · Higher wins ↑
0
539
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
18.6° N
7.0° N
Would lose
10
Round 10Won20 countries · 3 lives left
CroatiavsMorocco
Wealth per person: 47,760 vs 9,903 int’l $ · Higher wins ↑
Conquered Morocco.
Other category comparisons 2 other winning choices
All eight categories for Croatia against Morocco
Category
Croatia
Morocco
Result
Areakm² · Higher wins ↑
56,594
446,550
Would lose
Populationpeople · Higher wins ↑
3,859,686
37,712,505
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
47,760
9,903
Would win
Densityper km² · Higher wins ↑
68.2
84.5
Would lose
Highest peakm · Higher wins ↑
1,831
4,165
Would lose
Coastlinekm · Higher wins ↑
5,835
1,835
Would win
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
31.9° N
Would lose
11
Round 11Won21 countries · 3 lives left
PeruvsPapua New Guinea
Area: 1,285,216 vs 462,840 km² · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 4 other winning choices
All eight categories for Peru against Papua New Guinea
Category
Peru
Papua New Guinea
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
462,840
Would win
Populationpeople · Higher wins ↑
33,845,617
10,389,635
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
4,672
Would win
Densityper km² · Higher wins ↑
26.3
22.4
Would win
Highest peakm · Higher wins ↑
6,746
4,509
Would win
Coastlinekm · Higher wins ↑
2,414
5,152
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
5.5° S
Would lose
12
Round 12Won22 countries · 3 lives left
LithuaniavsIraq
Wealth per person: 52,720 vs 14,665 int’l $ · Higher wins ↑
Conquered Iraq.
Other category comparisons 1 other winning choice
All eight categories for Lithuania against Iraq
Category
Lithuania
Iraq
Result
Areakm² · Higher wins ↑
65,300
438,317
Would lose
Populationpeople · Higher wins ↑
2,871,585
45,074,049
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
14,665
Would win
Densityper km² · Higher wins ↑
44.0
102.8
Would lose
Highest peakm · Higher wins ↑
294
3,611
Would lose
Coastlinekm · Higher wins ↑
90
58
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
33.3° N
Would lose
13
Round 13Won23 countries · 3 lives left
PhilippinesvsBurundi
Population: 114,891,199 vs 13,689,450 people · Higher wins ↑
Conquered Burundi.
Other category comparisons 5 other winning choices
All eight categories for Philippines against Burundi
Category
Philippines
Burundi
Result
Areakm² · Higher wins ↑
300,000
27,830
Would win
Populationpeople · Higher wins ↑ · Chosen
114,891,199
13,689,450
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
1,147
Would win
Densityper km² · Higher wins ↑
383.0
491.9
Would lose
Highest peakm · Higher wins ↑
2,954
2,685
Would win
Coastlinekm · Higher wins ↑
36,289
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
3.4° S
Would lose
14
Round 14Won24 countries · 3 lives left
JamaicavsNew Zealand
Proximity to equator: 18.1° N vs 45.3° S from the equator · Closer wins ↓
Conquered New Zealand.
Other category comparisons 1 other winning choice
All eight categories for Jamaica against New Zealand
Category
Jamaica
New Zealand
Result
Areakm² · Higher wins ↑
10,991
268,838
Would lose
Populationpeople · Higher wins ↑
2,839,786
5,200,000
Would lose
Wealth per personint’l $ · Higher wins ↑
12,661
54,950
Would lose
Densityper km² · Higher wins ↑
258.4
19.3
Would win
Highest peakm · Higher wins ↑
2,256
3,724
Would lose
Coastlinekm · Higher wins ↑
1,022
15,134
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
18.1° N
45.3° S
Would win
15
Round 15Won25 countries · 3 lives left
JapanvsThailand
Population: 124,516,650 vs 71,702,435 people · Higher wins ↑
Conquered Thailand.
Other category comparisons 4 other winning choices
All eight categories for Japan against Thailand
Category
Japan
Thailand
Result
Areakm² · Higher wins ↑
377,915
513,120
Would lose
Populationpeople · Higher wins ↑ · Chosen
124,516,650
71,702,435
Would win
Wealth per personint’l $ · Higher wins ↑
52,726
23,598
Would win
Densityper km² · Higher wins ↑
329.5
139.7
Would win
Highest peakm · Higher wins ↑
3,776
2,565
Would win
Coastlinekm · Higher wins ↑
29,751
3,219
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
15.5° N
Would lose
16
Round 16Won26 countries · 3 lives left
SerbiavsBelize
Wealth per person: 29,777 vs 13,741 int’l $ · Higher wins ↑
Conquered Belize.
Other category comparisons 4 other winning choices
All eight categories for Serbia against Belize
Category
Serbia
Belize
Result
Areakm² · Higher wins ↑
77,474
22,966
Would win
Populationpeople · Higher wins ↑
6,623,183
411,106
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
29,777
13,741
Would win
Densityper km² · Higher wins ↑
85.5
17.9
Would win
Highest peakm · Higher wins ↑
2,169
1,124
Would win
Coastlinekm · Higher wins ↑
0
386
Would lose
Flag colourscolours · Higher wins ↑
5
12
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
44.2° N
17.0° N
Would lose
17
Round 17Won27 countries · 3 lives left
BelarusvsGuinea
Wealth per person: 30,860 vs 4,337 int’l $ · Higher wins ↑
Conquered Guinea.
Other category comparisons 0 other winning choices
All eight categories for Belarus against Guinea
Category
Belarus
Guinea
Result
Areakm² · Higher wins ↑
207,600
245,857
Would lose
Populationpeople · Higher wins ↑
9,178,298
14,405,468
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
30,860
4,337
Would win
Densityper km² · Higher wins ↑
44.2
58.6
Would lose
Highest peakm · Higher wins ↑
346
1,752
Would lose
Coastlinekm · Higher wins ↑
0
320
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
10.7° N
Would lose
18
Round 18Won28 countries · 3 lives left
BangladeshvsVanuatu
Population: 171,466,990 vs 320,409 people · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 3 other winning choices
All eight categories for Bangladesh against Vanuatu
Category
Bangladesh
Vanuatu
Result
Areakm² · Higher wins ↑
148,460
12,189
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
320,409
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
4,202
Would win
Densityper km² · Higher wins ↑
1,155.0
26.3
Would win
Highest peakm · Higher wins ↑
1,060
1,877
Would lose
Coastlinekm · Higher wins ↑
580
2,528
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
15.4° S
Would lose
19
Round 19Won29 countries · 3 lives left
CanadavsKyrgyzstan
Area: 9,984,670 vs 199,951 km² · Higher wins ↑
Conquered Kyrgyzstan.
Other category comparisons 3 other winning choices
All eight categories for Canada against Kyrgyzstan
Category
Canada
Kyrgyzstan
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
199,951
Would win
Populationpeople · Higher wins ↑
40,049,088
7,099,750
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
7,304
Would win
Densityper km² · Higher wins ↑
4.0
35.5
Would lose
Highest peakm · Higher wins ↑
5,959
7,439
Would lose
Coastlinekm · Higher wins ↑
202,080
0
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
41.7° N
Would lose
20
Round 20Won30 countries · 3 lives left
TanzaniavsRwanda
Area: 947,300 vs 26,338 km² · Higher wins ↑
Conquered Rwanda.
Other category comparisons 5 other winning choices
All eight categories for Tanzania against Rwanda
Category
Tanzania
Rwanda
Result
Areakm² · Higher wins ↑ · Chosen
947,300
26,338
Would win
Populationpeople · Higher wins ↑
66,617,606
13,954,471
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
3,519
Would win
Densityper km² · Higher wins ↑
70.3
529.8
Would lose
Highest peakm · Higher wins ↑
5,895
4,519
Would win
Coastlinekm · Higher wins ↑
1,424
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Philippinesvs
Jamaica
Japan
Serbia
Belarus
Bangladesh
Canada
Tanzania
Togo
Honduras
Mauritius
Slovenia
Djibouti
Lebanon
Finland
Guatemala
Mali
Ghana
Croatia
Morocco
Peru
Papua New Guinea
Lithuania
Iraq
Burundi
New Zealand
Thailand
Belize
Guinea
Vanuatu
Kyrgyzstan
Rwanda