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Untimed expedition · Data edition 01051846d672
25Wins
4Losses
0Ties
Explore the final empire · 33 countries
No countries match your search.
The path through the world
One choice at a time.
29 rounds
Where it began · 12 countries
Trinidad and Tobago · Iceland · Australia · Gabon · Brazil · Bosnia and Herzegovina · Eritrea · Morocco · Poland · Cyprus · Netherlands · Burkina Faso
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
Trinidad and TobagovsNorway
Proximity to equator: 10.3° N vs 61.5° N from the equator · Closer wins ↓
Conquered Norway.
Other category comparisons 0 other winning choices
All eight categories for Trinidad and Tobago against Norway
Category
Trinidad and Tobago
Norway
Result
Areakm² · Higher wins ↑
5,128
323,802
Would lose
Populationpeople · Higher wins ↑
1,367,510
5,519,601
Would lose
Wealth per personint’l $ · Higher wins ↑
34,652
107,768
Would lose
DensityBlocked in Hard · per km² · Higher wins ↑
266.7
17.0
Would win
Highest peakm · Higher wins ↑
940
2,469
Would lose
Coastlinekm · Higher wins ↑
362
25,148
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.3° N
61.5° N
Would win
2
Round 2Won14 countries · 4 lives left
IcelandvsBhutan
Wealth per person: 82,257 vs 16,229 int’l $ · Higher wins ↑
Conquered Bhutan.
Other category comparisons 1 other winning choice
All eight categories for Iceland against Bhutan
Category
Iceland
Bhutan
Result
Areakm² · Higher wins ↑
103,000
38,394
Would win
Populationpeople · Higher wins ↑
385,663
786,385
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
16,229
Would win
Densityper km² · Higher wins ↑
3.7
20.5
Would lose
Highest peakm · Higher wins ↑
2,110
7,570
Would lose
CoastlineBlocked in Hard · km · Higher wins ↑
4,970
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
27.5° N
Would lose
3
Round 3Won15 countries · 4 lives left
AustraliavsGuinea-Bissau
Wealth per person: 72,273 vs 2,956 int’l $ · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 3 other winning choices
All eight categories for Australia against Guinea-Bissau
Category
Australia
Guinea-Bissau
Result
AreaBlocked in Hard · km² · Higher wins ↑
7,741,220
36,125
Would win
Populationpeople · Higher wins ↑
26,659,922
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,273
2,956
Would win
Densityper km² · Higher wins ↑
3.4
59.6
Would lose
Highest peakm · Higher wins ↑
2,228
277
Would win
Coastlinekm · Higher wins ↑
25,760
350
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
12.1° N
Would lose
4
Round 4Won16 countries · 4 lives left
GabonvsGhana
Area: 267,667 vs 238,533 km² · Higher wins ↑
Conquered Ghana.
Other category comparisons 3 other winning choices
All eight categories for Gabon against Ghana
Category
Gabon
Ghana
Result
Areakm² · Higher wins ↑ · Chosen
267,667
238,533
Would win
Populationpeople · Higher wins ↑
2,484,789
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
7,563
Would win
Densityper km² · Higher wins ↑
9.3
141.6
Would lose
Highest peakm · Higher wins ↑
1,050
885
Would win
Coastlinekm · Higher wins ↑
885
539
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorBlocked in Hard · from the equator · Closer wins ↓
0.6° S
7.0° N
Would win
5
Round 5Won17 countries · 4 lives left
BrazilvsTajikistan
Population: 211,140,729 vs 10,389,799 people · Higher wins ↑
Conquered Tajikistan.
Other category comparisons 3 other winning choices
All eight categories for Brazil against Tajikistan
Category
Brazil
Tajikistan
Result
AreaBlocked in Hard · km² · Higher wins ↑
8,515,770
144,100
Would win
Populationpeople · Higher wins ↑ · Chosen
211,140,729
10,389,799
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
4,968
Would win
Densityper km² · Higher wins ↑
24.8
72.1
Would lose
Highest peakm · Higher wins ↑
2,994
7,495
Would lose
Coastlinekm · Higher wins ↑
7,491
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
38.3° N
Would win
6
Round 6Lost16 countries · 3 lives left
Bosnia and HerzegovinavsSouth Korea
Flag colours: 3 vs 4 colours · Higher wins ↑
Returned to the world: Bosnia and Herzegovina.
Other category comparisons 1 other winning choice
All eight categories for Bosnia and Herzegovina against South Korea
Category
Bosnia and Herzegovina
South Korea
Result
Areakm² · Higher wins ↑
51,197
99,720
Would lose
Populationpeople · Higher wins ↑
3,185,073
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑
23,376
57,430
Would lose
Densityper km² · Higher wins ↑
62.2
518.6
Would lose
Highest peakm · Higher wins ↑
2,386
1,950
Would win
Coastlinekm · Higher wins ↑
20
2,413
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
44.1° N
36.3° N
Would lose
7
Round 7Won17 countries · 3 lives left
EritreavsBelize
Population: 3,470,390 vs 411,106 people · Higher wins ↑
Conquered Belize.
Other category comparisons 4 other winning choices
All eight categories for Eritrea against Belize
Category
Eritrea
Belize
Result
Areakm² · Higher wins ↑
117,600
22,966
Would win
Populationpeople · Higher wins ↑ · Chosen
3,470,390
411,106
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
13,741
Unavailable
Densityper km² · Higher wins ↑
29.5
17.9
Would win
Highest peakm · Higher wins ↑
3,018
1,124
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
2,234
386
Would win
Flag colourscolours · Higher wins ↑
4
12
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
16.0° N
17.0° N
Would win
8
Round 8Won18 countries · 3 lives left
MoroccovsArmenia
Population: 37,712,505 vs 2,964,300 people · Higher wins ↑
Conquered Armenia.
Other category comparisons 3 other winning choices
All eight categories for Morocco against Armenia
Category
Morocco
Armenia
Result
Areakm² · Higher wins ↑
446,550
29,743
Would win
Populationpeople · Higher wins ↑ · Chosen
37,712,505
2,964,300
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
21,552
Would lose
Densityper km² · Higher wins ↑
84.5
99.7
Would lose
Highest peakm · Higher wins ↑
4,165
4,090
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
1,835
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
40.6° N
Would win
9
Round 9Won19 countries · 3 lives left
PolandvsNorth Korea
Population: 36,687,353 vs 26,418,204 people · Higher wins ↑
Conquered North Korea.
Other category comparisons 0 other winning choices
All eight categories for Poland against North Korea
Category
Poland
North Korea
Result
AreaBlocked in Hard · km² · Higher wins ↑
312,685
120,538
Would win
Populationpeople · Higher wins ↑ · Chosen
36,687,353
26,418,204
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
48,473
Unavailable
Unavailable
Densityper km² · Higher wins ↑
117.3
219.2
Would lose
Highest peakm · Higher wins ↑
2,499
2,744
Would lose
Coastlinekm · Higher wins ↑
440
2,495
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
39.9° N
Would lose
10
Round 10Won20 countries · 3 lives left
CyprusvsKenya
Density: 145.4 vs 95.4 per km² · Higher wins ↑
Conquered Kenya.
Other category comparisons 1 other winning choice
All eight categories for Cyprus against Kenya
Category
Cyprus
Kenya
Result
Areakm² · Higher wins ↑
9,251
580,367
Would lose
Populationpeople · Higher wins ↑
1,344,976
55,339,003
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
59,875
6,322
Would win
Densityper km² · Higher wins ↑ · Chosen
145.4
95.4
Would win
Highest peakm · Higher wins ↑
1,951
5,199
Would lose
Coastlinekm · Higher wins ↑
648
536
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
0.4° N
Would lose
11
Round 11Won21 countries · 3 lives left
NetherlandsvsSyria
Coastline: 451 vs 193 km · Higher wins ↑
Conquered Syria.
Other category comparisons 0 other winning choices
All eight categories for Netherlands against Syria
Category
Netherlands
Syria
Result
Areakm² · Higher wins ↑
41,543
187,437
Would lose
Populationpeople · Higher wins ↑
17,877,117
23,594,623
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
80,392
Unavailable
Unavailable
DensityBlocked in Hard · per km² · Higher wins ↑
430.3
125.9
Would win
Highest peakm · Higher wins ↑
322
2,814
Would lose
Coastlinekm · Higher wins ↑ · Chosen
451
193
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.2° N
35.0° N
Would lose
12
Round 12Won22 countries · 3 lives left
Burkina FasovsKuwait
Population: 23,025,776 vs 4,853,420 people · Higher wins ↑
Conquered Kuwait.
Other category comparisons 2 other winning choices
All eight categories for Burkina Faso against Kuwait
Category
Burkina Faso
Kuwait
Result
AreaBlocked in Hard · km² · Higher wins ↑
274,200
17,818
Would win
Populationpeople · Higher wins ↑ · Chosen
23,025,776
4,853,420
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
53,083
Would lose
Densityper km² · Higher wins ↑
84.0
272.4
Would lose
Highest peakm · Higher wins ↑
749
300
Would win
Coastlinekm · Higher wins ↑
0
499
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.8° N
29.4° N
Would win
13
Round 13Won23 countries · 3 lives left
Trinidad and TobagovsGambia
Highest peak: 940 vs 63 m · Higher wins ↑
Conquered Gambia.
Other category comparisons 3 other winning choices
All eight categories for Trinidad and Tobago against Gambia
Category
Trinidad and Tobago
Gambia
Result
Areakm² · Higher wins ↑
5,128
11,300
Would lose
Populationpeople · Higher wins ↑
1,367,510
2,697,845
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
34,652
3,292
Would win
Densityper km² · Higher wins ↑
266.7
238.7
Would win
Highest peakm · Higher wins ↑ · Chosen
940
63
Would win
Coastlinekm · Higher wins ↑
362
80
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.3° N
13.6° N
Would win
14
Round 14Won24 countries · 3 lives left
NorwayvsYemen
Coastline: 25,148 vs 1,906 km · Higher wins ↑
Conquered Yemen.
Other category comparisons 0 other winning choices
All eight categories for Norway against Yemen
Category
Norway
Yemen
Result
Areakm² · Higher wins ↑
323,802
527,968
Would lose
Populationpeople · Higher wins ↑
5,519,601
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
107,768
Unavailable
Unavailable
Densityper km² · Higher wins ↑
17.0
74.6
Would lose
Highest peakm · Higher wins ↑
2,469
3,666
Would lose
Coastlinekm · Higher wins ↑ · Chosen
25,148
1,906
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
61.5° N
15.3° N
Would lose
15
Round 15Won25 countries · 3 lives left
IcelandvsLesotho
Wealth per person: 82,257 vs 2,880 int’l $ · Higher wins ↑
Conquered Lesotho.
Other category comparisons 1 other winning choice
All eight categories for Iceland against Lesotho
Category
Iceland
Lesotho
Result
Areakm² · Higher wins ↑
103,000
30,355
Would win
Populationpeople · Higher wins ↑
385,663
2,311,472
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
2,880
Would win
Densityper km² · Higher wins ↑
3.7
76.1
Would lose
Highest peakm · Higher wins ↑
2,110
3,482
Would lose
CoastlineBlocked in Hard · km · Higher wins ↑
4,970
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
29.4° S
Would lose
16
Round 16Won26 countries · 3 lives left
BhutanvsKyrgyzstan
Highest peak: 7,570 vs 7,439 m · Higher wins ↑
Conquered Kyrgyzstan.
Other category comparisons 2 other winning choices
All eight categories for Bhutan against Kyrgyzstan
Category
Bhutan
Kyrgyzstan
Result
Areakm² · Higher wins ↑
38,394
199,951
Would lose
Populationpeople · Higher wins ↑
786,385
7,099,750
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
16,229
7,304
Would win
Densityper km² · Higher wins ↑
20.5
35.5
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
7,439
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
41.7° N
Would win
17
Round 17Won27 countries · 3 lives left
AustraliavsHonduras
Wealth per person: 72,273 vs 7,184 int’l $ · Higher wins ↑
Conquered Honduras.
Other category comparisons 3 other winning choices
All eight categories for Australia against Honduras
Category
Australia
Honduras
Result
AreaBlocked in Hard · km² · Higher wins ↑
7,741,220
112,090
Would win
Populationpeople · Higher wins ↑
26,659,922
10,644,851
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,273
7,184
Would win
Densityper km² · Higher wins ↑
3.4
95.0
Would lose
Highest peakm · Higher wins ↑
2,228
2,870
Would lose
Coastlinekm · Higher wins ↑
25,760
823
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
14.7° N
Would lose
18
Round 18Lost26 countries · 2 lives left
Guinea-BissauvsEcuador
Flag colours: 4 vs 11 colours · Higher wins ↑
Returned to the world: Guinea-Bissau.
Other category comparisons 0 other winning choices
All eight categories for Guinea-Bissau against Ecuador
Category
Guinea-Bissau
Ecuador
Result
Areakm² · Higher wins ↑
36,125
283,561
Would lose
Populationpeople · Higher wins ↑
2,153,339
17,980,083
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
15,907
Would lose
Densityper km² · Higher wins ↑
59.6
63.4
Would lose
Highest peakm · Higher wins ↑
277
6,267
Would lose
Coastlinekm · Higher wins ↑
350
2,237
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.1° N
1.2° S
Would lose
19
Round 19Won27 countries · 2 lives left
GabonvsComoros
Population: 2,484,789 vs 850,387 people · Higher wins ↑
Conquered Comoros.
Other category comparisons 3 other winning choices
All eight categories for Gabon against Comoros
Category
Gabon
Comoros
Result
AreaBlocked in Hard · km² · Higher wins ↑
267,667
2,235
Would win
Populationpeople · Higher wins ↑ · Chosen
2,484,789
850,387
Would win
Wealth per personint’l $ · Higher wins ↑
20,773
3,897
Would win
Densityper km² · Higher wins ↑
9.3
380.5
Would lose
Highest peakm · Higher wins ↑
1,050
2,360
Would lose
Coastlinekm · Higher wins ↑
885
340
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
0.6° S
11.7° S
Would win
20
Round 20Won28 countries · 2 lives left
GhanavsRepublic of the Congo
Density: 141.6 vs 18.1 per km² · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 3 other winning choices
All eight categories for Ghana against Republic of the Congo
Category
Ghana
Republic of the Congo
Result
Areakm² · Higher wins ↑
238,533
342,000
Would lose
PopulationBlocked in Hard · people · Higher wins ↑
33,787,914
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
6,856
Would win
Densityper km² · Higher wins ↑ · Chosen
141.6
18.1
Would win
Highest peakm · Higher wins ↑
885
1,020
Would lose
Coastlinekm · Higher wins ↑
539
169
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓