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Untimed expedition · Data edition 01051846d672
118Wins
4Losses
0Ties
Explore the final empire · 126 countries
No countries match your search.
The path through the world
One choice at a time.
122 rounds
Where it began · 12 countries
Guinea · Haiti · New Zealand · Gambia · Cabo Verde · Algeria · Tunisia · Kazakhstan · Guinea-Bissau · Maldives · Montenegro · Saudi Arabia
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
61
Round 61Won73 countries · 4 lives left
TunisiavsMyanmar
Wealth per person: 14,052 vs 5,958 int’l $ · Higher wins ↑
Conquered Myanmar.
Other category comparisons 0 other winning choices
All eight categories for Tunisia against Myanmar
Category
Tunisia
Myanmar
Result
Areakm² · Higher wins ↑
163,610
676,578
Would lose
Populationpeople · Higher wins ↑
12,200,431
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
14,052
5,958
Would win
Densityper km² · Higher wins ↑
74.6
80.0
Would lose
Highest peakm · Higher wins ↑
1,544
5,870
Would lose
Coastlinekm · Higher wins ↑
1,148
1,930
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.3° N
21.6° N
Would lose
62
Round 62Won74 countries · 4 lives left
CzechiavsMalaysia
Wealth per person: 56,062 vs 36,497 int’l $ · Higher wins ↑
Conquered Malaysia.
Other category comparisons 1 other winning choice
All eight categories for Czechia against Malaysia
Category
Czechia
Malaysia
Result
Areakm² · Higher wins ↑
78,867
329,847
Would lose
Populationpeople · Higher wins ↑
10,864,042
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
36,497
Would win
Densityper km² · Higher wins ↑
137.8
106.5
Would win
Highest peakm · Higher wins ↑
1,602
4,095
Would lose
Coastlinekm · Higher wins ↑
0
4,675
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
4.4° N
Would lose
63
Round 63Won75 countries · 4 lives left
SwedenvsSri Lanka
Wealth per person: 68,458 vs 14,512 int’l $ · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 2 other winning choices
All eight categories for Sweden against Sri Lanka
Category
Sweden
Sri Lanka
Result
Areakm² · Higher wins ↑
450,295
65,610
Would win
Populationpeople · Higher wins ↑
10,536,632
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
68,458
14,512
Would win
Densityper km² · Higher wins ↑
23.4
335.9
Would lose
Highest peakm · Higher wins ↑
2,100
2,524
Would lose
Coastlinekm · Higher wins ↑
3,218
1,340
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
65.8° N
7.1° N
Would lose
64
Round 64Won76 countries · 4 lives left
MauritiusvsLithuania
Proximity to equator: 20.3° S vs 55.1° N from the equator · Closer wins ↓
Conquered Lithuania.
Other category comparisons 4 other winning choices
All eight categories for Mauritius against Lithuania
Category
Mauritius
Lithuania
Result
Areakm² · Higher wins ↑
2,040
65,300
Would lose
Populationpeople · Higher wins ↑
1,248,647
2,871,585
Would lose
Wealth per personint’l $ · Higher wins ↑
29,403
52,720
Would lose
Densityper km² · Higher wins ↑
612.1
44.0
Would win
Highest peakm · Higher wins ↑
828
294
Would win
Coastlinekm · Higher wins ↑
177
90
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
20.3° S
55.1° N
Would win
65
Round 65Won77 countries · 4 lives left
KazakhstanvsMauritania
Highest peak: 7,010 vs 915 m · Higher wins ↑
Conquered Mauritania.
Other category comparisons 4 other winning choices
All eight categories for Kazakhstan against Mauritania
Category
Kazakhstan
Mauritania
Result
Areakm² · Higher wins ↑
2,724,900
1,030,700
Would win
Populationpeople · Higher wins ↑
20,330,104
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑
38,547
6,972
Would win
Densityper km² · Higher wins ↑
7.5
4.9
Would win
Highest peakm · Higher wins ↑ · Chosen
7,010
915
Would win
Coastlinekm · Higher wins ↑
0
754
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
48.5° N
19.4° N
Would lose
66
Round 66Won78 countries · 4 lives left
QatarvsEritrea
Density: 229.2 vs 29.5 per km² · Higher wins ↑
Conquered Eritrea.
Other category comparisons 0 other winning choices
All eight categories for Qatar against Eritrea
Category
Qatar
Eritrea
Result
Areakm² · Higher wins ↑
11,586
117,600
Would lose
Populationpeople · Higher wins ↑
2,656,032
3,470,390
Would lose
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
129,025
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
229.2
29.5
Would win
Highest peakm · Higher wins ↑
103
3,018
Would lose
Coastlinekm · Higher wins ↑
563
2,234
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
25.1° N
16.0° N
Would lose
67
Round 67Won79 countries · 4 lives left
IndonesiavsGeorgia
Population: 281,190,067 vs 3,715,483 people · Higher wins ↑
Conquered Georgia.
Other category comparisons 4 other winning choices
All eight categories for Indonesia against Georgia
Category
Indonesia
Georgia
Result
Areakm² · Higher wins ↑
1,904,569
69,700
Would win
Populationpeople · Higher wins ↑ · Chosen
281,190,067
3,715,483
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
25,093
Would lose
Densityper km² · Higher wins ↑
147.6
53.3
Would win
Highest peakm · Higher wins ↑
4,884
5,193
Would lose
Coastlinekm · Higher wins ↑
54,716
310
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
42.4° N
Would win
68
Round 68Won80 countries · 4 lives left
DenmarkvsAzerbaijan
Wealth per person: 77,425 vs 23,671 int’l $ · Higher wins ↑
Conquered Azerbaijan.
Other category comparisons 2 other winning choices
All eight categories for Denmark against Azerbaijan
Category
Denmark
Azerbaijan
Result
Areakm² · Higher wins ↑
43,094
86,600
Would lose
Populationpeople · Higher wins ↑
5,946,952
10,153,958
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
77,425
23,671
Would win
Densityper km² · Higher wins ↑
138.0
117.3
Would win
Highest peakm · Higher wins ↑
171
4,466
Would lose
Coastlinekm · Higher wins ↑
7,314
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
40.5° N
Would lose
69
Round 69Won81 countries · 4 lives left
Guinea-BissauvsVenezuela
Density: 59.6 vs 31.0 per km² · Higher wins ↑
Conquered Venezuela.
Other category comparisons 0 other winning choices
All eight categories for Guinea-Bissau against Venezuela
Category
Guinea-Bissau
Venezuela
Result
Areakm² · Higher wins ↑
36,125
912,050
Would lose
Populationpeople · Higher wins ↑
2,153,339
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
2,956
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
59.6
31.0
Would win
Highest peakm · Higher wins ↑
277
4,978
Would lose
Coastlinekm · Higher wins ↑
350
2,800
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
12.1° N
7.2° N
Would lose
70
Round 70Won82 countries · 4 lives left
ZimbabwevsSlovakia
Area: 390,757 vs 49,035 km² · Higher wins ↑
Conquered Slovakia.
Other category comparisons 3 other winning choices
All eight categories for Zimbabwe against Slovakia
Category
Zimbabwe
Slovakia
Result
Areakm² · Higher wins ↑ · Chosen
390,757
49,035
Would win
Populationpeople · Higher wins ↑
16,340,822
5,426,740
Would win
Wealth per personint’l $ · Higher wins ↑
5,796
45,865
Would lose
Densityper km² · Higher wins ↑
41.8
110.7
Would lose
Highest peakm · Higher wins ↑
2,592
2,655
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
48.7° N
Would win
71
Round 71Won83 countries · 4 lives left
Bosnia and HerzegovinavsPakistan
Wealth per person: 23,376 vs 6,019 int’l $ · Higher wins ↑
Conquered Pakistan.
Other category comparisons 1 other winning choice
All eight categories for Bosnia and Herzegovina against Pakistan
Category
Bosnia and Herzegovina
Pakistan
Result
Areakm² · Higher wins ↑
51,197
796,095
Would lose
Populationpeople · Higher wins ↑
3,185,073
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
23,376
6,019
Would win
Densityper km² · Higher wins ↑
62.2
310.9
Would lose
Highest peakm · Higher wins ↑
2,386
8,611
Would lose
Coastlinekm · Higher wins ↑
20
1,046
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
44.1° N
27.8° N
Would lose
72
Round 72Won84 countries · 4 lives left
UzbekistanvsTurkmenistan
Population: 35,652,307 vs 7,364,438 people · Higher wins ↑
Conquered Turkmenistan.
Other category comparisons 2 other winning choices
All eight categories for Uzbekistan against Turkmenistan
Category
Uzbekistan
Turkmenistan
Result
Areakm² · Higher wins ↑
447,400
488,100
Would lose
Populationpeople · Higher wins ↑ · Chosen
35,652,307
7,364,438
Would win
Wealth per personint’l $ · Higher wins ↑
11,679
19,645
Would lose
Densityper km² · Higher wins ↑
79.7
15.1
Would win
Highest peakm · Higher wins ↑
4,643
3,139
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
39.9° N
Would lose
73
Round 73Won85 countries · 4 lives left
MaldivesvsJamaica
Density: 1,765.1 vs 258.4 per km² · Higher wins ↑
Conquered Jamaica.
Other category comparisons 2 other winning choices
All eight categories for Maldives against Jamaica
Category
Maldives
Jamaica
Result
Areakm² · Higher wins ↑
298
10,991
Would lose
Populationpeople · Higher wins ↑
525,994
2,839,786
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
12,661
Would win
Densityper km² · Higher wins ↑ · Chosen
1,765.1
258.4
Would win
Highest peakm · Higher wins ↑
5
2,256
Would lose
Coastlinekm · Higher wins ↑
644
1,022
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.3° N
18.1° N
Would win
74
Round 74Won86 countries · 4 lives left
LatviavsBhutan
Wealth per person: 42,784 vs 16,229 int’l $ · Higher wins ↑
Conquered Bhutan.
Other category comparisons 4 other winning choices
All eight categories for Latvia against Bhutan
Category
Latvia
Bhutan
Result
Areakm² · Higher wins ↑
64,589
38,394
Would win
Populationpeople · Higher wins ↑
1,883,710
786,385
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,784
16,229
Would win
Densityper km² · Higher wins ↑
29.2
20.5
Would win
Highest peakm · Higher wins ↑
312
7,570
Would lose
Coastlinekm · Higher wins ↑
498
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
27.5° N
Would lose
75
Round 75Won87 countries · 4 lives left
ColombiavsChad
Population: 52,321,152 vs 19,319,064 people · Higher wins ↑
Conquered Chad.
Other category comparisons 5 other winning choices
All eight categories for Colombia against Chad
Category
Colombia
Chad
Result
Areakm² · Higher wins ↑
1,138,910
1,284,000
Would lose
Populationpeople · Higher wins ↑ · Chosen
52,321,152
19,319,064
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
2,703
Would win
Densityper km² · Higher wins ↑
45.9
15.0
Would win
Highest peakm · Higher wins ↑
5,730
3,445
Would win
Coastlinekm · Higher wins ↑
3,208
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
17.3° N
Would win
76
Round 76Won88 countries · 4 lives left
Solomon IslandsvsChile
Density: 27.7 vs 26.0 per km² · Higher wins ↑
Conquered Chile.
Other category comparisons 2 other winning choices
All eight categories for Solomon Islands against Chile
Category
Solomon Islands
Chile
Result
Areakm² · Higher wins ↑
28,896
756,102
Would lose
Populationpeople · Higher wins ↑
800,005
19,658,835
Would lose
Wealth per personint’l $ · Higher wins ↑
2,599
33,174
Would lose
Densityper km² · Higher wins ↑ · Chosen
27.7
26.0
Would win
Highest peakm · Higher wins ↑
2,335
6,893
Would lose
Coastlinekm · Higher wins ↑
5,313
6,435
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
9.6° S
23.4° S
Would win
77
Round 77Won89 countries · 4 lives left
MontenegrovsUruguay
Density: 45.1 vs 19.2 per km² · Higher wins ↑
Conquered Uruguay.
Other category comparisons 2 other winning choices
All eight categories for Montenegro against Uruguay
Category
Montenegro
Uruguay
Result
Areakm² · Higher wins ↑
13,812
176,215
Would lose
Populationpeople · Higher wins ↑
623,529
3,388,081
Would lose
Wealth per personint’l $ · Higher wins ↑
31,863
34,546
Would lose
Densityper km² · Higher wins ↑ · Chosen
45.1
19.2
Would win
Highest peakm · Higher wins ↑
2,534
514
Would win
Coastlinekm · Higher wins ↑
293.5
660
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.8° N
32.9° S
Would lose
78
Round 78Won90 countries · 4 lives left
FrancevsBolivia
Population: 65,925,961 vs 12,244,159 people · Higher wins ↑
Conquered Bolivia.
Other category comparisons 3 other winning choices
All eight categories for France against Bolivia
Category
France
Bolivia
Result
Areakm² · Higher wins ↑
551,500
1,098,581
Would lose
Populationpeople · Higher wins ↑ · Chosen
65,925,961
12,244,159
Would win
Wealth per personint’l $ · Higher wins ↑
60,927
12,903
Would win
Densityper km² · Higher wins ↑
119.5
11.1
Would win
Highest peakm · Higher wins ↑
4,810
6,542
Would lose
Coastlinekm · Higher wins ↑
3,427
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
16.7° S
Would lose
79
Round 79Won91 countries · 4 lives left
NamibiavsUnited States
Proximity to equator: 20.6° S vs 39.1° N from the equator · Closer wins ↓
Conquered United States.
Other category comparisons 1 other winning choice
All eight categories for Namibia against United States
Category
Namibia
United States
Result
Areakm² · Higher wins ↑
824,292
9,833,517
Would lose
Populationpeople · Higher wins ↑
2,963,095
336,755,052
Would lose
Wealth per personint’l $ · Higher wins ↑
11,248
82,587
Would lose
Densityper km² · Higher wins ↑
3.6
34.2
Would lose
Highest peakm · Higher wins ↑
2,573
6,190
Would lose
Coastlinekm · Higher wins ↑
1,572
19,924
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
20.6° S
39.1° N
Would win
80
Round 80Won92 countries · 4 lives left
SingaporevsJapan
Density: 8,230.4 vs 329.5 per km² · Higher wins ↑
Conquered Japan.
Other category comparisons 2 other winning choices
All eight categories for Singapore against Japan
Category
Singapore
Japan
Result
Areakm² · Higher wins ↑
719
377,915
Would lose
Populationpeople · Higher wins ↑
5,917,648
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
52,726
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
329.5
Would win
Highest peakm · Higher wins ↑
166
3,776
Would lose
Coastlinekm · Higher wins ↑
193
29,751
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓