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Untimed expedition · Data edition 01051846d672
59Wins
4Losses
0Ties
Explore the final empire · 67 countries
No countries match your search.
The path through the world
One choice at a time.
63 rounds
Where it began · 12 countries
Guinea-Bissau · Canada · Ukraine · Brunei · Guinea · Bosnia and Herzegovina · Haiti · Senegal · Egypt · Ghana · South Africa · Comoros
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
Guinea-BissauvsMexico
Proximity to equator: 12.1° N vs 23.5° N from the equator · Closer wins ↓
Conquered Mexico.
Other category comparisons 0 other winning choices
All eight categories for Guinea-Bissau against Mexico
Category
Guinea-Bissau
Mexico
Result
Areakm² · Higher wins ↑
36,125
1,964,375
Would lose
Populationpeople · Higher wins ↑
2,153,339
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
25,188
Would lose
Densityper km² · Higher wins ↑
59.6
66.0
Would lose
Highest peakm · Higher wins ↑
277
5,636
Would lose
Coastlinekm · Higher wins ↑
350
9,330
Would lose
Flag colourscolours · Higher wins ↑
4
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
23.5° N
Would win
2
Round 2Won14 countries · 4 lives left
CanadavsMalawi
Area: 9,984,670 vs 118,484 km² · Higher wins ↑
Conquered Malawi.
Other category comparisons 4 other winning choices
All eight categories for Canada against Malawi
Category
Canada
Malawi
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
118,484
Would win
Populationpeople · Higher wins ↑
40,049,088
21,104,482
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
1,832
Would win
Densityper km² · Higher wins ↑
4.0
178.1
Would lose
Highest peakm · Higher wins ↑
5,959
3,002
Would win
Coastlinekm · Higher wins ↑
202,080
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
13.4° S
Would lose
3
Round 3Won15 countries · 4 lives left
UkrainevsIndonesia
Wealth per person: 17,680 vs 15,428 int’l $ · Higher wins ↑
Conquered Indonesia.
Other category comparisons 0 other winning choices
All eight categories for Ukraine against Indonesia
Category
Ukraine
Indonesia
Result
Areakm² · Higher wins ↑
603,550
1,904,569
Would lose
Populationpeople · Higher wins ↑
37,732,836
281,190,067
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,680
15,428
Would win
Densityper km² · Higher wins ↑
62.5
147.6
Would lose
Highest peakm · Higher wins ↑
2,061
4,884
Would lose
Coastlinekm · Higher wins ↑
2,782
54,716
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
1.0° S
Would lose
4
Round 4Won16 countries · 4 lives left
BruneivsCabo Verde
Wealth per person: 85,103 vs 10,251 int’l $ · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 2 other winning choices
All eight categories for Brunei against Cabo Verde
Category
Brunei
Cabo Verde
Result
Areakm² · Higher wins ↑
5,765
4,033
Would win
Populationpeople · Higher wins ↑
458,949
522,331
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
85,103
10,251
Would win
Densityper km² · Higher wins ↑
79.6
129.5
Would lose
Highest peakm · Higher wins ↑
1,850
2,829
Would lose
Coastlinekm · Higher wins ↑
161
965
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
15.0° N
Would win
5
Round 5Won17 countries · 4 lives left
GuineavsBelize
Area: 245,857 vs 22,966 km² · Higher wins ↑
Conquered Belize.
Other category comparisons 4 other winning choices
All eight categories for Guinea against Belize
Category
Guinea
Belize
Result
Areakm² · Higher wins ↑ · Chosen
245,857
22,966
Would win
Populationpeople · Higher wins ↑
14,405,468
411,106
Would win
Wealth per personint’l $ · Higher wins ↑
4,337
13,741
Would lose
Densityper km² · Higher wins ↑
58.6
17.9
Would win
Highest peakm · Higher wins ↑
1,752
1,124
Would win
Coastlinekm · Higher wins ↑
320
386
Would lose
Flag colourscolours · Higher wins ↑
3
12
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.7° N
17.0° N
Would win
6
Round 6Won18 countries · 4 lives left
Bosnia and HerzegovinavsSouth Sudan
Coastline: 20 vs 0 km · Higher wins ↑
Conquered South Sudan.
Other category comparisons 1 other winning choice
All eight categories for Bosnia and Herzegovina against South Sudan
Category
Bosnia and Herzegovina
South Sudan
Result
Areakm² · Higher wins ↑
51,197
644,329
Would lose
Populationpeople · Higher wins ↑
3,185,073
11,483,374
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
23,376
Unavailable
Unavailable
Densityper km² · Higher wins ↑
62.2
17.8
Would win
Highest peakm · Higher wins ↑
2,386
3,187
Would lose
Coastlinekm · Higher wins ↑ · Chosen
20
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
44.1° N
7.1° N
Would lose
7
Round 7Won19 countries · 4 lives left
HaitivsMalaysia
Density: 419.4 vs 106.5 per km² · Higher wins ↑
Conquered Malaysia.
Other category comparisons 1 other winning choice
All eight categories for Haiti against Malaysia
Category
Haiti
Malaysia
Result
Areakm² · Higher wins ↑
27,750
329,847
Would lose
Populationpeople · Higher wins ↑
11,637,398
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑
3,265
36,497
Would lose
Densityper km² · Higher wins ↑ · Chosen
419.4
106.5
Would win
Highest peakm · Higher wins ↑
2,674
4,095
Would lose
Coastlinekm · Higher wins ↑
1,771
4,675
Would lose
Flag colourscolours · Higher wins ↑
7
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.2° N
4.4° N
Would lose
8
Round 8Won20 countries · 4 lives left
SenegalvsSpain
Proximity to equator: 15.2° N vs 40.0° N from the equator · Closer wins ↓
Conquered Spain.
Other category comparisons 0 other winning choices
All eight categories for Senegal against Spain
Category
Senegal
Spain
Result
Areakm² · Higher wins ↑
196,722
505,370
Would lose
Populationpeople · Higher wins ↑
18,077,573
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑
4,782
55,661
Would lose
Densityper km² · Higher wins ↑
91.9
95.7
Would lose
Highest peakm · Higher wins ↑
648
3,718
Would lose
Coastlinekm · Higher wins ↑
531
4,964
Would lose
Flag colourscolours · Higher wins ↑
3
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.2° N
40.0° N
Would win
9
Round 9Won21 countries · 4 lives left
EgyptvsGabon
Population: 114,535,772 vs 2,484,789 people · Higher wins ↑
Conquered Gabon.
Other category comparisons 5 other winning choices
All eight categories for Egypt against Gabon
Category
Egypt
Gabon
Result
Areakm² · Higher wins ↑
1,001,450
267,667
Would win
Populationpeople · Higher wins ↑ · Chosen
114,535,772
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
20,773
Would lose
Densityper km² · Higher wins ↑
114.4
9.3
Would win
Highest peakm · Higher wins ↑
2,629
1,050
Would win
Coastlinekm · Higher wins ↑
2,450
885
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
0.6° S
Would lose
10
Round 10Won22 countries · 4 lives left
GhanavsUnited States
Proximity to equator: 7.0° N vs 39.1° N from the equator · Closer wins ↓
Conquered United States.
Other category comparisons 2 other winning choices
All eight categories for Ghana against United States
Category
Ghana
United States
Result
Areakm² · Higher wins ↑
238,533
9,833,517
Would lose
Populationpeople · Higher wins ↑
33,787,914
336,755,052
Would lose
Wealth per personint’l $ · Higher wins ↑
7,563
82,587
Would lose
Densityper km² · Higher wins ↑
141.6
34.2
Would win
Highest peakm · Higher wins ↑
885
6,190
Would lose
Coastlinekm · Higher wins ↑
539
19,924
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
39.1° N
Would win
11
Round 11Won23 countries · 4 lives left
South AfricavsLibya
Population: 63,212,384 vs 7,305,659 people · Higher wins ↑
Conquered Libya.
Other category comparisons 5 other winning choices
All eight categories for South Africa against Libya
Category
South Africa
Libya
Result
Areakm² · Higher wins ↑
1,219,090
1,759,540
Would lose
Populationpeople · Higher wins ↑ · Chosen
63,212,384
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
15,212
13,858
Would win
Densityper km² · Higher wins ↑
51.9
4.2
Would win
Highest peakm · Higher wins ↑
3,450
2,267
Would win
Coastlinekm · Higher wins ↑
2,798
1,770
Would win
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.2° S
26.1° N
Would lose
12
Round 12Won24 countries · 4 lives left
ComorosvsBelgium
Proximity to equator: 11.7° S vs 50.8° N from the equator · Closer wins ↓
Conquered Belgium.
Other category comparisons 3 other winning choices
All eight categories for Comoros against Belgium
Category
Comoros
Belgium
Result
Areakm² · Higher wins ↑
2,235
30,528
Would lose
Populationpeople · Higher wins ↑
850,387
11,779,946
Would lose
Wealth per personint’l $ · Higher wins ↑
3,897
72,630
Would lose
Densityper km² · Higher wins ↑
380.5
385.9
Would lose
Highest peakm · Higher wins ↑
2,360
694
Would win
Coastlinekm · Higher wins ↑
340
66.5
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
11.7° S
50.8° N
Would win
13
Round 13Won25 countries · 4 lives left
Guinea-BissauvsDenmark
Proximity to equator: 12.1° N vs 55.9° N from the equator · Closer wins ↓
Conquered Denmark.
Other category comparisons 2 other winning choices
All eight categories for Guinea-Bissau against Denmark
Category
Guinea-Bissau
Denmark
Result
Areakm² · Higher wins ↑
36,125
43,094
Would lose
Populationpeople · Higher wins ↑
2,153,339
5,946,952
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
77,425
Would lose
Densityper km² · Higher wins ↑
59.6
138.0
Would lose
Highest peakm · Higher wins ↑
277
171
Would win
Coastlinekm · Higher wins ↑
350
7,314
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
55.9° N
Would win
14
Round 14Won26 countries · 4 lives left
MexicovsVanuatu
Area: 1,964,375 vs 12,189 km² · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 6 other winning choices
All eight categories for Mexico against Vanuatu
Category
Mexico
Vanuatu
Result
Areakm² · Higher wins ↑ · Chosen
1,964,375
12,189
Would win
Populationpeople · Higher wins ↑
129,739,759
320,409
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
4,202
Would win
Densityper km² · Higher wins ↑
66.0
26.3
Would win
Highest peakm · Higher wins ↑
5,636
1,877
Would win
Coastlinekm · Higher wins ↑
9,330
2,528
Would win
Flag colourscolours · Higher wins ↑
11
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
15.4° S
Would lose
15
Round 15Won27 countries · 4 lives left
CanadavsNetherlands
Area: 9,984,670 vs 41,543 km² · Higher wins ↑
Conquered Netherlands.
Other category comparisons 3 other winning choices
All eight categories for Canada against Netherlands
Category
Canada
Netherlands
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
41,543
Would win
Populationpeople · Higher wins ↑
40,049,088
17,877,117
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
80,392
Would lose
Densityper km² · Higher wins ↑
4.0
430.3
Would lose
Highest peakm · Higher wins ↑
5,959
322
Would win
Coastlinekm · Higher wins ↑
202,080
451
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
52.2° N
Would lose
16
Round 16Won28 countries · 4 lives left
MalawivsPhilippines
Proximity to equator: 13.4° S vs 17.0° N from the equator · Closer wins ↓
Conquered Philippines.
Other category comparisons 1 other winning choice
All eight categories for Malawi against Philippines
Category
Malawi
Philippines
Result
Areakm² · Higher wins ↑
118,484
300,000
Would lose
Populationpeople · Higher wins ↑
21,104,482
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑
1,832
10,995
Would lose
Densityper km² · Higher wins ↑
178.1
383.0
Would lose
Highest peakm · Higher wins ↑
3,002
2,954
Would win
Coastlinekm · Higher wins ↑
0
36,289
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.4° S
17.0° N
Would win
17
Round 17Lost27 countries · 3 lives left
UkrainevsZambia
Area: 603,550 vs 752,618 km² · Higher wins ↑
Returned to the world: Ukraine.
Other category comparisons 4 other winning choices
All eight categories for Ukraine against Zambia
Category
Ukraine
Zambia
Result
Areakm² · Higher wins ↑ · Chosen
603,550
752,618
Would lose
Populationpeople · Higher wins ↑
37,732,836
20,723,965
Would win
Wealth per personint’l $ · Higher wins ↑
17,680
4,080
Would win
Densityper km² · Higher wins ↑
62.5
27.5
Would win
Highest peakm · Higher wins ↑
2,061
2,330
Would lose
Coastlinekm · Higher wins ↑
2,782
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
14.7° S
Would lose
18
Round 18Won28 countries · 3 lives left
IndonesiavsMaldives
Population: 281,190,067 vs 525,994 people · Higher wins ↑
Conquered Maldives.
Other category comparisons 4 other winning choices
All eight categories for Indonesia against Maldives
Category
Indonesia
Maldives
Result
Areakm² · Higher wins ↑
1,904,569
298
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
525,994
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
24,807
Would lose
Densityper km² · Higher wins ↑
147.6
1,765.1
Would lose
Highest peakm · Higher wins ↑
4,884
5
Would win
Coastlinekm · Higher wins ↑
54,716
644
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
3.3° N
Would win
19
Round 19Won29 countries · 3 lives left
BruneivsPoland
Wealth per person: 85,103 vs 48,473 int’l $ · Higher wins ↑
Conquered Poland.
Other category comparisons 2 other winning choices
All eight categories for Brunei against Poland
Category
Brunei
Poland
Result
Areakm² · Higher wins ↑
5,765
312,685
Would lose
Populationpeople · Higher wins ↑
458,949
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
85,103
48,473
Would win
Densityper km² · Higher wins ↑
79.6
117.3
Would lose
Highest peakm · Higher wins ↑
1,850
2,499
Would lose
Coastlinekm · Higher wins ↑
161
440
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
51.9° N
Would win
20
Round 20Won30 countries · 3 lives left
Cabo VerdevsBangladesh
Proximity to equator: 15.0° N vs 24.3° N from the equator · Closer wins ↓
Conquered Bangladesh.
Other category comparisons 4 other winning choices
All eight categories for Cabo Verde against Bangladesh
Category
Cabo Verde
Bangladesh
Result
Areakm² · Higher wins ↑
4,033
148,460
Would lose
Populationpeople · Higher wins ↑
522,331
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑
10,251
9,155
Would win
Densityper km² · Higher wins ↑
129.5
1,155.0
Would lose
Highest peakm · Higher wins ↑
2,829
1,060
Would win
Coastlinekm · Higher wins ↑
965
580
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen