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Untimed expedition · Data edition 01051846d672
20Wins
1Losses
0Ties
Explore the final empire · 31 countries
No countries match your search.
The path through the world
One choice at a time.
21 rounds
Where it began · 12 countries
Austria · Comoros · Bangladesh · Guyana · Mauritius · France · Morocco · Kyrgyzstan · Australia · Egypt · Libya · Japan
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
AustriavsPakistan
Wealth per person: 74,261 vs 6,019 int’l $ · Higher wins ↑
Conquered Pakistan.
Other category comparisons 0 other winning choices
All eight categories for Austria against Pakistan
Category
Austria
Pakistan
Result
Areakm² · Higher wins ↑
83,871
796,095
Would lose
Populationpeople · Higher wins ↑
9,131,761
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
74,261
6,019
Would win
Densityper km² · Higher wins ↑
108.9
310.9
Would lose
Highest peakm · Higher wins ↑
3,798
8,611
Would lose
Coastlinekm · Higher wins ↑
0
1,046
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
27.8° N
Would lose
2
Round 2Won14 countries · 4 lives left
ComorosvsAzerbaijan
Coastline: 340 vs 0 km · Higher wins ↑
Conquered Azerbaijan.
Other category comparisons 3 other winning choices
All eight categories for Comoros against Azerbaijan
Category
Comoros
Azerbaijan
Result
Areakm² · Higher wins ↑
2,235
86,600
Would lose
Populationpeople · Higher wins ↑
850,387
10,153,958
Would lose
Wealth per personint’l $ · Higher wins ↑
3,897
23,671
Would lose
Densityper km² · Higher wins ↑
380.5
117.3
Would win
Highest peakm · Higher wins ↑
2,360
4,466
Would lose
Coastlinekm · Higher wins ↑ · Chosen
340
0
Would win
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.7° S
40.5° N
Would win
3
Round 3Won15 countries · 4 lives left
BangladeshvsMyanmar
Population: 171,466,990 vs 54,133,798 people · Higher wins ↑
Conquered Myanmar.
Other category comparisons 2 other winning choices
All eight categories for Bangladesh against Myanmar
Category
Bangladesh
Myanmar
Result
Areakm² · Higher wins ↑
148,460
676,578
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
54,133,798
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
5,958
Would win
Densityper km² · Higher wins ↑
1,155.0
80.0
Would win
Highest peakm · Higher wins ↑
1,060
5,870
Would lose
Coastlinekm · Higher wins ↑
580
1,930
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
21.6° N
Would lose
4
Round 4Won16 countries · 4 lives left
GuyanavsPapua New Guinea
Wealth per person: 54,774 vs 4,672 int’l $ · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 2 other winning choices
All eight categories for Guyana against Papua New Guinea
Category
Guyana
Papua New Guinea
Result
Areakm² · Higher wins ↑
214,969
462,840
Would lose
Populationpeople · Higher wins ↑
826,353
10,389,635
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,774
4,672
Would win
Densityper km² · Higher wins ↑
3.8
22.4
Would lose
Highest peakm · Higher wins ↑
2,775
4,509
Would lose
Coastlinekm · Higher wins ↑
459
5,152
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.7° N
5.5° S
Would win
5
Round 5Won17 countries · 4 lives left
MauritiusvsIran
Density: 612.1 vs 55.0 per km² · Higher wins ↑
Conquered Iran.
Other category comparisons 3 other winning choices
All eight categories for Mauritius against Iran
Category
Mauritius
Iran
Result
Areakm² · Higher wins ↑
2,040
1,648,195
Would lose
Populationpeople · Higher wins ↑
1,248,647
90,608,707
Would lose
Wealth per personint’l $ · Higher wins ↑
29,403
18,933
Would win
Densityper km² · Higher wins ↑ · Chosen
612.1
55.0
Would win
Highest peakm · Higher wins ↑
828
5,625
Would lose
Coastlinekm · Higher wins ↑
177
2,440
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
20.3° S
32.1° N
Would win
6
Round 6Won18 countries · 4 lives left
FrancevsMongolia
Population: 65,925,961 vs 3,481,145 people · Higher wins ↑
Conquered Mongolia.
Other category comparisons 4 other winning choices
All eight categories for France against Mongolia
Category
France
Mongolia
Result
Areakm² · Higher wins ↑
551,500
1,564,116
Would lose
Populationpeople · Higher wins ↑ · Chosen
65,925,961
3,481,145
Would win
Wealth per personint’l $ · Higher wins ↑
60,927
18,020
Would win
Densityper km² · Higher wins ↑
119.5
2.2
Would win
Highest peakm · Higher wins ↑
4,810
4,374
Would win
Coastlinekm · Higher wins ↑
3,427
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
46.0° N
Would lose
7
Round 7Won19 countries · 4 lives left
MoroccovsUkraine
Proximity to equator: 31.9° N vs 49.6° N from the equator · Closer wins ↓
Conquered Ukraine.
Other category comparisons 2 other winning choices
All eight categories for Morocco against Ukraine
Category
Morocco
Ukraine
Result
Areakm² · Higher wins ↑
446,550
603,550
Would lose
Populationpeople · Higher wins ↑
37,712,505
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑
9,903
17,680
Would lose
Densityper km² · Higher wins ↑
84.5
62.5
Would win
Highest peakm · Higher wins ↑
4,165
2,061
Would win
Coastlinekm · Higher wins ↑
1,835
2,782
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
31.9° N
49.6° N
Would win
8
Round 8Won20 countries · 4 lives left
KyrgyzstanvsQatar
Highest peak: 7,439 vs 103 m · Higher wins ↑
Conquered Qatar.
Other category comparisons 2 other winning choices
All eight categories for Kyrgyzstan against Qatar
Category
Kyrgyzstan
Qatar
Result
Areakm² · Higher wins ↑
199,951
11,586
Would win
Populationpeople · Higher wins ↑
7,099,750
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑
7,304
129,025
Would lose
Densityper km² · Higher wins ↑
35.5
229.2
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,439
103
Would win
Coastlinekm · Higher wins ↑
0
563
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
41.7° N
25.1° N
Would lose
9
Round 9Won21 countries · 4 lives left
AustraliavsSerbia
Area: 7,741,220 vs 77,474 km² · Higher wins ↑
Conquered Serbia.
Other category comparisons 5 other winning choices
All eight categories for Australia against Serbia
Category
Australia
Serbia
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
77,474
Would win
Populationpeople · Higher wins ↑
26,659,922
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑
72,273
29,777
Would win
Densityper km² · Higher wins ↑
3.4
85.5
Would lose
Highest peakm · Higher wins ↑
2,228
2,169
Would win
Coastlinekm · Higher wins ↑
25,760
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
44.2° N
Would win
10
Round 10Won22 countries · 4 lives left
EgyptvsCyprus
Population: 114,535,772 vs 1,344,976 people · Higher wins ↑
Conquered Cyprus.
Other category comparisons 5 other winning choices
All eight categories for Egypt against Cyprus
Category
Egypt
Cyprus
Result
Areakm² · Higher wins ↑
1,001,450
9,251
Would win
Populationpeople · Higher wins ↑ · Chosen
114,535,772
1,344,976
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
59,875
Would lose
Densityper km² · Higher wins ↑
114.4
145.4
Would lose
Highest peakm · Higher wins ↑
2,629
1,951
Would win
Coastlinekm · Higher wins ↑
2,450
648
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
34.9° N
Would win
11
Round 11Won23 countries · 4 lives left
LibyavsLatvia
Area: 1,759,540 vs 64,589 km² · Higher wins ↑
Conquered Latvia.
Other category comparisons 5 other winning choices
All eight categories for Libya against Latvia
Category
Libya
Latvia
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
64,589
Would win
Populationpeople · Higher wins ↑
7,305,659
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
42,784
Would lose
Densityper km² · Higher wins ↑
4.2
29.2
Would lose
Highest peakm · Higher wins ↑
2,267
312
Would win
Coastlinekm · Higher wins ↑
1,770
498
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
56.6° N
Would win
12
Round 12Won24 countries · 4 lives left
JapanvsCuba
Population: 124,516,650 vs 11,019,931 people · Higher wins ↑
Conquered Cuba.
Other category comparisons 4 other winning choices
All eight categories for Japan against Cuba
Category
Japan
Cuba
Result
Areakm² · Higher wins ↑
377,915
110,860
Would win
Populationpeople · Higher wins ↑ · Chosen
124,516,650
11,019,931
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
52,726
Unavailable
Unavailable
Densityper km² · Higher wins ↑
329.5
99.4
Would win
Highest peakm · Higher wins ↑
3,776
1,974
Would win
Coastlinekm · Higher wins ↑
29,751
3,735
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
20.6° N
Would lose
13
Round 13Won25 countries · 4 lives left
AustriavsZambia
Wealth per person: 74,261 vs 4,080 int’l $ · Higher wins ↑
Conquered Zambia.
Other category comparisons 2 other winning choices
All eight categories for Austria against Zambia
Category
Austria
Zambia
Result
Areakm² · Higher wins ↑
83,871
752,618
Would lose
Populationpeople · Higher wins ↑
9,131,761
20,723,965
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
74,261
4,080
Would win
Densityper km² · Higher wins ↑
108.9
27.5
Would win
Highest peakm · Higher wins ↑
3,798
2,330
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
14.7° S
Would lose
14
Round 14Won26 countries · 4 lives left
PakistanvsCameroon
Population: 247,504,495 vs 28,372,687 people · Higher wins ↑
Conquered Cameroon.
Other category comparisons 5 other winning choices
All eight categories for Pakistan against Cameroon
Category
Pakistan
Cameroon
Result
Areakm² · Higher wins ↑
796,095
475,440
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
28,372,687
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
5,415
Would win
Densityper km² · Higher wins ↑
310.9
59.7
Would win
Highest peakm · Higher wins ↑
8,611
4,045
Would win
Coastlinekm · Higher wins ↑
1,046
402
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
4.5° N
Would lose
15
Round 15Won27 countries · 4 lives left
ComorosvsVenezuela
Density: 380.5 vs 31.0 per km² · Higher wins ↑
Conquered Venezuela.
Other category comparisons 1 other winning choice
All eight categories for Comoros against Venezuela
Category
Comoros
Venezuela
Result
Areakm² · Higher wins ↑
2,235
912,050
Would lose
Populationpeople · Higher wins ↑
850,387
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
3,897
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
380.5
31.0
Would win
Highest peakm · Higher wins ↑
2,360
4,978
Would lose
Coastlinekm · Higher wins ↑
340
2,800
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.7° S
7.2° N
Would lose
16
Round 16Won28 countries · 4 lives left
AzerbaijanvsKenya
Wealth per person: 23,671 vs 6,322 int’l $ · Higher wins ↑
Conquered Kenya.
Other category comparisons 1 other winning choice
All eight categories for Azerbaijan against Kenya
Category
Azerbaijan
Kenya
Result
Areakm² · Higher wins ↑
86,600
580,367
Would lose
Populationpeople · Higher wins ↑
10,153,958
55,339,003
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
23,671
6,322
Would win
Densityper km² · Higher wins ↑
117.3
95.4
Would win
Highest peakm · Higher wins ↑
4,466
5,199
Would lose
Coastlinekm · Higher wins ↑
0
536
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
0.4° N
Would lose
17
Round 17Won29 countries · 4 lives left
BangladeshvsUnited Arab Emirates
Population: 171,466,990 vs 10,483,751 people · Higher wins ↑
Conquered United Arab Emirates.
Other category comparisons 2 other winning choices
All eight categories for Bangladesh against United Arab Emirates
Category
Bangladesh
United Arab Emirates
Result
Areakm² · Higher wins ↑
148,460
83,600
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
10,483,751
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
78,020
Would lose
Densityper km² · Higher wins ↑
1,155.0
125.4
Would win
Highest peakm · Higher wins ↑
1,060
1,905
Would lose
Coastlinekm · Higher wins ↑
580
1,318
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
23.5° N
Would lose
18
Round 18Won30 countries · 4 lives left
MyanmarvsNetherlands
Population: 54,133,798 vs 17,877,117 people · Higher wins ↑
Conquered Netherlands.
Other category comparisons 5 other winning choices
All eight categories for Myanmar against Netherlands
Category
Myanmar
Netherlands
Result
Areakm² · Higher wins ↑
676,578
41,543
Would win
Populationpeople · Higher wins ↑ · Chosen
54,133,798
17,877,117
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
80,392
Would lose
Densityper km² · Higher wins ↑
80.0
430.3
Would lose
Highest peakm · Higher wins ↑
5,870
322
Would win
Coastlinekm · Higher wins ↑
1,930
451
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
52.2° N
Would win
19
Round 19Won31 countries · 4 lives left
GuyanavsUzbekistan
Wealth per person: 54,774 vs 11,679 int’l $ · Higher wins ↑
Conquered Uzbekistan.
Other category comparisons 3 other winning choices
All eight categories for Guyana against Uzbekistan
Category
Guyana
Uzbekistan
Result
Areakm² · Higher wins ↑
214,969
447,400
Would lose
Populationpeople · Higher wins ↑
826,353
35,652,307
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,774
11,679
Would win
Densityper km² · Higher wins ↑
3.8
79.7
Would lose
Highest peakm · Higher wins ↑
2,775
4,643
Would lose
Coastlinekm · Higher wins ↑
459
0
Would win
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.7° N
41.5° N
Would win
20
Round 20Won32 countries · 4 lives left
Papua New GuineavsSaudi Arabia
Proximity to equator: 5.5° S vs 23.5° N from the equator · Closer wins ↓
Conquered Saudi Arabia.
Other category comparisons 4 other winning choices
All eight categories for Papua New Guinea against Saudi Arabia
Category
Papua New Guinea
Saudi Arabia
Result
Areakm² · Higher wins ↑
462,840
2,149,690
Would lose
Populationpeople · Higher wins ↑
10,389,635
33,702,731
Would lose
Wealth per personint’l $ · Higher wins ↑
4,672
71,624
Would lose
Densityper km² · Higher wins ↑
22.4
15.7
Would win
Highest peakm · Higher wins ↑
4,509
3,000
Would win
Coastlinekm · Higher wins ↑
5,152
2,640
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Austriavs
Pakistan
Comoros
Azerbaijan
Bangladesh
Myanmar
Guyana
Papua New Guinea
Mauritius
Iran
France
Mongolia
Morocco
Ukraine
Kyrgyzstan
Qatar
Australia
Serbia
Egypt
Cyprus
Libya
Latvia
Japan
Cuba
Zambia
Cameroon
Venezuela
Kenya
United Arab Emirates
Netherlands
Uzbekistan
Saudi Arabia