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Untimed expedition · Data edition 01051846d672
24Wins
1Losses
0Ties
Explore the final empire · 35 countries
No countries match your search.
The path through the world
One choice at a time.
25 rounds
Where it began · 12 countries
Germany · Canada · Guinea · El Salvador · Suriname · United States · Serbia · Djibouti · Portugal · Bhutan · Croatia · Chile
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
GermanyvsRwanda
Population: 83,287,273 vs 13,954,471 people · Higher wins ↑
Conquered Rwanda.
Other category comparisons 3 other winning choices
All eight categories for Germany against Rwanda
Category
Germany
Rwanda
Result
Areakm² · Higher wins ↑
357,022
26,338
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
13,954,471
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
3,519
Would win
Densityper km² · Higher wins ↑
233.3
529.8
Would lose
Highest peakm · Higher wins ↑
2,963
4,519
Would lose
Coastlinekm · Higher wins ↑
2,389
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
1.8° S
Would lose
2
Round 2Won14 countries · 4 lives left
CanadavsBahamas
Area: 9,984,670 vs 13,880 km² · Higher wins ↑
Conquered Bahamas.
Other category comparisons 4 other winning choices
All eight categories for Canada against Bahamas
Category
Canada
Bahamas
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
13,880
Would win
Populationpeople · Higher wins ↑
40,049,088
399,440
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
39,122
Would win
Densityper km² · Higher wins ↑
4.0
28.8
Would lose
Highest peakm · Higher wins ↑
5,959
64
Would win
Coastlinekm · Higher wins ↑
202,080
3,542
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
24.7° N
Would lose
3
Round 3Won15 countries · 4 lives left
GuineavsSlovenia
Proximity to equator: 10.7° N vs 46.0° N from the equator · Closer wins ↓
Conquered Slovenia.
Other category comparisons 3 other winning choices
All eight categories for Guinea against Slovenia
Category
Guinea
Slovenia
Result
Areakm² · Higher wins ↑
245,857
20,273
Would win
Populationpeople · Higher wins ↑
14,405,468
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
4,337
56,151
Would lose
Densityper km² · Higher wins ↑
58.6
104.6
Would lose
Highest peakm · Higher wins ↑
1,752
2,864
Would lose
Coastlinekm · Higher wins ↑
320
46.6
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.7° N
46.0° N
Would win
4
Round 4Won16 countries · 4 lives left
El SalvadorvsParaguay
Density: 299.9 vs 16.8 per km² · Higher wins ↑
Conquered Paraguay.
Other category comparisons 4 other winning choices
All eight categories for El Salvador against Paraguay
Category
El Salvador
Paraguay
Result
Areakm² · Higher wins ↑
21,041
406,752
Would lose
Populationpeople · Higher wins ↑
6,309,624
6,844,146
Would lose
Wealth per personint’l $ · Higher wins ↑
12,667
17,585
Would lose
Densityper km² · Higher wins ↑ · Chosen
299.9
16.8
Would win
Highest peakm · Higher wins ↑
2,730
842
Would win
Coastlinekm · Higher wins ↑
307
0
Would win
Flag colourscolours · Higher wins ↑
9
6
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.9° N
21.6° S
Would win
5
Round 5Won17 countries · 4 lives left
SurinamevsDR Congo
Wealth per person: 21,128 vs 1,732 int’l $ · Higher wins ↑
Conquered DR Congo.
Other category comparisons 2 other winning choices
All eight categories for Suriname against DR Congo
Category
Suriname
DR Congo
Result
Areakm² · Higher wins ↑
163,820
2,344,858
Would lose
Populationpeople · Higher wins ↑
628,886
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
21,128
1,732
Would win
Densityper km² · Higher wins ↑
3.8
45.1
Would lose
Highest peakm · Higher wins ↑
1,230
5,110
Would lose
Coastlinekm · Higher wins ↑
386
37
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.1° N
1.9° S
Would lose
6
Round 6Won18 countries · 4 lives left
United StatesvsGuinea-Bissau
Population: 336,755,052 vs 2,153,339 people · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 4 other winning choices
All eight categories for United States against Guinea-Bissau
Category
United States
Guinea-Bissau
Result
Areakm² · Higher wins ↑
9,833,517
36,125
Would win
Populationpeople · Higher wins ↑ · Chosen
336,755,052
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
82,587
2,956
Would win
Densityper km² · Higher wins ↑
34.2
59.6
Would lose
Highest peakm · Higher wins ↑
6,190
277
Would win
Coastlinekm · Higher wins ↑
19,924
350
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
12.1° N
Would lose
7
Round 7Won19 countries · 4 lives left
SerbiavsUzbekistan
Wealth per person: 29,777 vs 11,679 int’l $ · Higher wins ↑
Conquered Uzbekistan.
Other category comparisons 2 other winning choices
All eight categories for Serbia against Uzbekistan
Category
Serbia
Uzbekistan
Result
Areakm² · Higher wins ↑
77,474
447,400
Would lose
Populationpeople · Higher wins ↑
6,623,183
35,652,307
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
29,777
11,679
Would win
Densityper km² · Higher wins ↑
85.5
79.7
Would win
Highest peakm · Higher wins ↑
2,169
4,643
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
44.2° N
41.5° N
Would lose
8
Round 8Won20 countries · 4 lives left
DjiboutivsMali
Density: 49.7 vs 19.2 per km² · Higher wins ↑
Conquered Mali.
Other category comparisons 5 other winning choices
All eight categories for Djibouti against Mali
Category
Djibouti
Mali
Result
Areakm² · Higher wins ↑
23,200
1,240,192
Would lose
Populationpeople · Higher wins ↑
1,152,944
23,769,127
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
3,178
Would win
Densityper km² · Higher wins ↑ · Chosen
49.7
19.2
Would win
Highest peakm · Higher wins ↑
2,021
1,155
Would win
Coastlinekm · Higher wins ↑
314
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.4° N
18.6° N
Would win
9
Round 9Won21 countries · 4 lives left
PortugalvsEquatorial Guinea
Wealth per person: 49,800 vs 16,997 int’l $ · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 4 other winning choices
All eight categories for Portugal against Equatorial Guinea
Category
Portugal
Equatorial Guinea
Result
Areakm² · Higher wins ↑
92,090
28,051
Would win
Populationpeople · Higher wins ↑
10,578,174
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
49,800
16,997
Would win
Densityper km² · Higher wins ↑
114.9
65.9
Would win
Highest peakm · Higher wins ↑
2,351
3,008
Would lose
Coastlinekm · Higher wins ↑
1,793
296
Would win
Flag colourscolours · Higher wins ↑
6
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
40.7° N
1.6° N
Would lose
10
Round 10Won22 countries · 4 lives left
BhutanvsPanama
Highest peak: 7,570 vs 3,475 m · Higher wins ↑
Conquered Panama.
Other category comparisons 1 other winning choice
All eight categories for Bhutan against Panama
Category
Bhutan
Panama
Result
Areakm² · Higher wins ↑
38,394
75,420
Would lose
Populationpeople · Higher wins ↑
786,385
4,458,759
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
39,846
Would lose
Densityper km² · Higher wins ↑
20.5
59.1
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
3,475
Would win
Coastlinekm · Higher wins ↑
0
2,490
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
8.4° N
Would lose
11
Round 11Won23 countries · 4 lives left
CroatiavsPoland
Proximity to equator: 45.8° N vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 2 other winning choices
All eight categories for Croatia against Poland
Category
Croatia
Poland
Result
Areakm² · Higher wins ↑
56,594
312,685
Would lose
Populationpeople · Higher wins ↑
3,859,686
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
47,760
48,473
Would lose
Densityper km² · Higher wins ↑
68.2
117.3
Would lose
Highest peakm · Higher wins ↑
1,831
2,499
Would lose
Coastlinekm · Higher wins ↑
5,835
440
Would win
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
45.8° N
51.9° N
Would win
12
Round 12Won24 countries · 4 lives left
ChilevsGeorgia
Coastline: 6,435 vs 310 km · Higher wins ↑
Conquered Georgia.
Other category comparisons 6 other winning choices
All eight categories for Chile against Georgia
Category
Chile
Georgia
Result
Areakm² · Higher wins ↑
756,102
69,700
Would win
Populationpeople · Higher wins ↑
19,658,835
3,715,483
Would win
Wealth per personint’l $ · Higher wins ↑
33,174
25,093
Would win
Densityper km² · Higher wins ↑
26.0
53.3
Would lose
Highest peakm · Higher wins ↑
6,893
5,193
Would win
Coastlinekm · Higher wins ↑ · Chosen
6,435
310
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
42.4° N
Would win
13
Round 13Won25 countries · 4 lives left
GermanyvsUnited Arab Emirates
Population: 83,287,273 vs 10,483,751 people · Higher wins ↑
Conquered United Arab Emirates.
Other category comparisons 4 other winning choices
All eight categories for Germany against United Arab Emirates
Category
Germany
United Arab Emirates
Result
Areakm² · Higher wins ↑
357,022
83,600
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
10,483,751
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
78,020
Would lose
Densityper km² · Higher wins ↑
233.3
125.4
Would win
Highest peakm · Higher wins ↑
2,963
1,905
Would win
Coastlinekm · Higher wins ↑
2,389
1,318
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
23.5° N
Would lose
14
Round 14Won26 countries · 4 lives left
RwandavsEstonia
Density: 529.8 vs 30.3 per km² · Higher wins ↑
Conquered Estonia.
Other category comparisons 3 other winning choices
All eight categories for Rwanda against Estonia
Category
Rwanda
Estonia
Result
Areakm² · Higher wins ↑
26,338
45,228
Would lose
Populationpeople · Higher wins ↑
13,954,471
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
3,519
48,848
Would lose
Densityper km² · Higher wins ↑ · Chosen
529.8
30.3
Would win
Highest peakm · Higher wins ↑
4,519
318
Would win
Coastlinekm · Higher wins ↑
0
3,794
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.8° S
58.6° N
Would win
15
Round 15Won27 countries · 4 lives left
CanadavsEcuador
Area: 9,984,670 vs 283,561 km² · Higher wins ↑
Conquered Ecuador.
Other category comparisons 3 other winning choices
All eight categories for Canada against Ecuador
Category
Canada
Ecuador
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
283,561
Would win
Populationpeople · Higher wins ↑
40,049,088
17,980,083
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
15,907
Would win
Densityper km² · Higher wins ↑
4.0
63.4
Would lose
Highest peakm · Higher wins ↑
5,959
6,267
Would lose
Coastlinekm · Higher wins ↑
202,080
2,237
Would win
Flag colourscolours · Higher wins ↑
2
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
1.2° S
Would lose
16
Round 16Won28 countries · 4 lives left
BahamasvsMauritania
Wealth per person: 39,122 vs 6,972 int’l $ · Higher wins ↑
Conquered Mauritania.
Other category comparisons 2 other winning choices
All eight categories for Bahamas against Mauritania
Category
Bahamas
Mauritania
Result
Areakm² · Higher wins ↑
13,880
1,030,700
Would lose
Populationpeople · Higher wins ↑
399,440
5,022,441
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
39,122
6,972
Would win
Densityper km² · Higher wins ↑
28.8
4.9
Would win
Highest peakm · Higher wins ↑
64
915
Would lose
Coastlinekm · Higher wins ↑
3,542
754
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
24.7° N
19.4° N
Would lose
17
Round 17Won29 countries · 4 lives left
GuineavsLiberia
Wealth per person: 4,337 vs 1,796 int’l $ · Higher wins ↑
Conquered Liberia.
Other category comparisons 4 other winning choices
All eight categories for Guinea against Liberia
Category
Guinea
Liberia
Result
Areakm² · Higher wins ↑
245,857
111,369
Would win
Populationpeople · Higher wins ↑
14,405,468
5,493,031
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
4,337
1,796
Would win
Densityper km² · Higher wins ↑
58.6
49.3
Would win
Highest peakm · Higher wins ↑
1,752
1,447
Would win
Coastlinekm · Higher wins ↑
320
579
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
10.7° N
7.0° N
Would lose
18
Round 18Won30 countries · 4 lives left
SloveniavsLithuania
Proximity to equator: 46.0° N vs 55.1° N from the equator · Closer wins ↓
Conquered Lithuania.
Other category comparisons 4 other winning choices
All eight categories for Slovenia against Lithuania
Category
Slovenia
Lithuania
Result
Areakm² · Higher wins ↑
20,273
65,300
Would lose
Populationpeople · Higher wins ↑
2,120,461
2,871,585
Would lose
Wealth per personint’l $ · Higher wins ↑
56,151
52,720
Would win
Densityper km² · Higher wins ↑
104.6
44.0
Would win
Highest peakm · Higher wins ↑
2,864
294
Would win
Coastlinekm · Higher wins ↑
46.6
90
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
46.0° N
55.1° N
Would win
19
Round 19Won31 countries · 4 lives left
El SalvadorvsEritrea
Population: 6,309,624 vs 3,470,390 people · Higher wins ↑
Conquered Eritrea.
Other category comparisons 3 other winning choices
All eight categories for El Salvador against Eritrea
Category
El Salvador
Eritrea
Result
Areakm² · Higher wins ↑
21,041
117,600
Would lose
Populationpeople · Higher wins ↑ · Chosen
6,309,624
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
12,667
Unavailable
Unavailable
Densityper km² · Higher wins ↑
299.9
29.5
Would win
Highest peakm · Higher wins ↑
2,730
3,018
Would lose
Coastlinekm · Higher wins ↑
307
2,234
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.9° N
16.0° N
Would win
20
Round 20Won32 countries · 4 lives left
ParaguayvsPakistan
Proximity to equator: 21.6° S vs 27.8° N from the equator · Closer wins ↓
Conquered Pakistan.
Other category comparisons 2 other winning choices
All eight categories for Paraguay against Pakistan
Category
Paraguay
Pakistan
Result
Areakm² · Higher wins ↑
406,752
796,095
Would lose
Populationpeople · Higher wins ↑
6,844,146
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑
17,585
6,019
Would win
Densityper km² · Higher wins ↑
16.8
310.9
Would lose
Highest peakm · Higher wins ↑
842
8,611
Would lose
Coastlinekm · Higher wins ↑
0
1,046
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Germanyvs
Rwanda
Canada
Bahamas
Guinea
Slovenia
El Salvador
Paraguay
Suriname
DR Congo
United States
Guinea-Bissau
Serbia
Uzbekistan
Djibouti
Mali
Portugal
Equatorial Guinea
Bhutan
Panama
Croatia
Poland
Chile
Georgia
United Arab Emirates
Estonia
Ecuador
Mauritania
Liberia
Lithuania
Eritrea
Pakistan