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Untimed expedition · Data edition 01051846d672
49Wins
3Losses
1Ties
Explore the final empire · 58 countries
No countries match your search.
The path through the world
One choice at a time.
53 rounds
Where it began · 12 countries
Niger · Nepal · United Arab Emirates · Pakistan · Ghana · Egypt · Mauritania · Madagascar · Angola · Brunei · Estonia · Finland
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
41
Round 41Won49 countries · 2 lives left
YemenvsKyrgyzstan
Coastline: 1,906 vs 0 km · Higher wins ↑
Conquered Kyrgyzstan.
Other category comparisons 5 other winning choices
All eight categories for Yemen against Kyrgyzstan
Category
Yemen
Kyrgyzstan
Result
Areakm² · Higher wins ↑
527,968
199,951
Would win
Populationpeople · Higher wins ↑
39,390,799
7,099,750
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
7,304
Unavailable
Densityper km² · Higher wins ↑
74.6
35.5
Would win
Highest peakm · Higher wins ↑
3,666
7,439
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,906
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
41.7° N
Would win
42
Round 42Won50 countries · 2 lives left
HondurasvsBolivia
Coastline: 823 vs 0 km · Higher wins ↑
Conquered Bolivia.
Other category comparisons 2 other winning choices
All eight categories for Honduras against Bolivia
Category
Honduras
Bolivia
Result
Areakm² · Higher wins ↑
112,090
1,098,581
Would lose
Populationpeople · Higher wins ↑
10,644,851
12,244,159
Would lose
Wealth per personint’l $ · Higher wins ↑
7,184
12,903
Would lose
Densityper km² · Higher wins ↑
95.0
11.1
Would win
Highest peakm · Higher wins ↑
2,870
6,542
Would lose
Coastlinekm · Higher wins ↑ · Chosen
823
0
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
14.7° N
16.7° S
Would win
43
Round 43Won51 countries · 2 lives left
United Arab EmiratesvsChad
Wealth per person: 78,020 vs 2,703 int’l $ · Higher wins ↑
Conquered Chad.
Other category comparisons 3 other winning choices
All eight categories for United Arab Emirates against Chad
Category
United Arab Emirates
Chad
Result
Areakm² · Higher wins ↑
83,600
1,284,000
Would lose
Populationpeople · Higher wins ↑
10,483,751
19,319,064
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
78,020
2,703
Would win
Densityper km² · Higher wins ↑
125.4
15.0
Would win
Highest peakm · Higher wins ↑
1,905
3,445
Would lose
Coastlinekm · Higher wins ↑
1,318
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
17.3° N
Would lose
44
Round 44Won52 countries · 2 lives left
MontenegrovsDenmark
Proximity to equator: 42.8° N vs 55.9° N from the equator · Closer wins ↓
Conquered Denmark.
Other category comparisons 2 other winning choices
All eight categories for Montenegro against Denmark
Category
Montenegro
Denmark
Result
Areakm² · Higher wins ↑
13,812
43,094
Would lose
Populationpeople · Higher wins ↑
623,529
5,946,952
Would lose
Wealth per personint’l $ · Higher wins ↑
31,863
77,425
Would lose
Densityper km² · Higher wins ↑
45.1
138.0
Would lose
Highest peakm · Higher wins ↑
2,534
171
Would win
Coastlinekm · Higher wins ↑
293.5
7,314
Would lose
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
42.8° N
55.9° N
Would win
45
Round 45Won53 countries · 2 lives left
Sri LankavsNetherlands
Proximity to equator: 7.1° N vs 52.2° N from the equator · Closer wins ↓
Conquered Netherlands.
Other category comparisons 5 other winning choices
All eight categories for Sri Lanka against Netherlands
Category
Sri Lanka
Netherlands
Result
Areakm² · Higher wins ↑
65,610
41,543
Would win
Populationpeople · Higher wins ↑
22,037,000
17,877,117
Would win
Wealth per personint’l $ · Higher wins ↑
14,512
80,392
Would lose
Densityper km² · Higher wins ↑
335.9
430.3
Would lose
Highest peakm · Higher wins ↑
2,524
322
Would win
Coastlinekm · Higher wins ↑
1,340
451
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.1° N
52.2° N
Would win
46
Round 46Won54 countries · 2 lives left
South SudanvsMaldives
Area: 644,329 vs 298 km² · Higher wins ↑
Conquered Maldives.
Other category comparisons 3 other winning choices
All eight categories for South Sudan against Maldives
Category
South Sudan
Maldives
Result
Areakm² · Higher wins ↑ · Chosen
644,329
298
Would win
Populationpeople · Higher wins ↑
11,483,374
525,994
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
24,807
Unavailable
Densityper km² · Higher wins ↑
17.8
1,765.1
Would lose
Highest peakm · Higher wins ↑
3,187
5
Would win
Coastlinekm · Higher wins ↑
0
644
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
3.3° N
Would lose
47
Round 47Won55 countries · 2 lives left
PakistanvsZimbabwe
Population: 247,504,495 vs 16,340,822 people · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 5 other winning choices
All eight categories for Pakistan against Zimbabwe
Category
Pakistan
Zimbabwe
Result
Areakm² · Higher wins ↑
796,095
390,757
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
16,340,822
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
5,796
Would win
Densityper km² · Higher wins ↑
310.9
41.8
Would win
Highest peakm · Higher wins ↑
8,611
2,592
Would win
Coastlinekm · Higher wins ↑
1,046
0
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
19.0° S
Would lose
48
Round 48Won56 countries · 2 lives left
LithuaniavsKuwait
Area: 65,300 vs 17,818 km² · Higher wins ↑
Conquered Kuwait.
Other category comparisons 0 other winning choices
All eight categories for Lithuania against Kuwait
Category
Lithuania
Kuwait
Result
Areakm² · Higher wins ↑ · Chosen
65,300
17,818
Would win
Populationpeople · Higher wins ↑
2,871,585
4,853,420
Would lose
Wealth per personint’l $ · Higher wins ↑
52,720
53,083
Would lose
Densityper km² · Higher wins ↑
44.0
272.4
Would lose
Highest peakm · Higher wins ↑
294
300
Would lose
Coastlinekm · Higher wins ↑
90
499
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
29.4° N
Would lose
49
Round 49Won57 countries · 2 lives left
North MacedoniavsHungary
Proximity to equator: 41.5° N vs 47.3° N from the equator · Closer wins ↓
Conquered Hungary.
Other category comparisons 1 other winning choice
All eight categories for North Macedonia against Hungary
Category
North Macedonia
Hungary
Result
Areakm² · Higher wins ↑
25,713
93,028
Would lose
Populationpeople · Higher wins ↑
1,827,816
9,592,186
Would lose
Wealth per personint’l $ · Higher wins ↑
25,354
46,376
Would lose
Densityper km² · Higher wins ↑
71.1
103.1
Would lose
Highest peakm · Higher wins ↑
2,764
1,014
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
41.5° N
47.3° N
Would win
50
Round 50Won58 countries · 2 lives left
CroatiavsAlbania
Wealth per person: 47,760 vs 24,848 int’l $ · Higher wins ↑
Conquered Albania.
Other category comparisons 4 other winning choices
All eight categories for Croatia against Albania
Category
Croatia
Albania
Result
Areakm² · Higher wins ↑
56,594
28,748
Would win
Populationpeople · Higher wins ↑
3,859,686
2,411,658
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
47,760
24,848
Would win
Densityper km² · Higher wins ↑
68.2
83.9
Would lose
Highest peakm · Higher wins ↑
1,831
2,764
Would lose
Coastlinekm · Higher wins ↑
5,835
362
Would win
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
40.7° N
Would lose
51
Round 51Tied58 countries · 2 lives left
GhanavsPhilippines
Flag colours: 4 vs 4 colours · Higher wins ↑
Philippines became contested.
Other category comparisons 1 other winning choice
All eight categories for Ghana against Philippines
Category
Ghana
Philippines
Result
Areakm² · Higher wins ↑
238,533
300,000
Would lose
Populationpeople · Higher wins ↑
33,787,914
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑
7,563
10,995
Would lose
Densityper km² · Higher wins ↑
141.6
383.0
Would lose
Highest peakm · Higher wins ↑
885
2,954
Would lose
Coastlinekm · Higher wins ↑
539
36,289
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
17.0° N
Would win
52
Round 52Lost57 countries · 1 life left
LuxembourgvsBelgium
Density: 257.7 vs 385.9 per km² · Higher wins ↑
Returned to the world: Luxembourg, Philippines.
Other category comparisons 2 other winning choices
All eight categories for Luxembourg against Belgium
Category
Luxembourg
Belgium
Result
Areakm² · Higher wins ↑
2,586
30,528
Would lose
Populationpeople · Higher wins ↑
666,430
11,779,946
Would lose
Wealth per personint’l $ · Higher wins ↑
152,596
72,630
Would win
Densityper km² · Higher wins ↑ · Chosen
257.7
385.9
Would lose
Highest peakm · Higher wins ↑
559
694
Would lose
Coastlinekm · Higher wins ↑
0
66.5
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
50.8° N
Would win
53
Round 53Won58 countries · 1 life left
MauritiusvsHaiti
Wealth per person: 29,403 vs 3,265 int’l $ · Higher wins ↑
Conquered Haiti.
Other category comparisons 1 other winning choice
All eight categories for Mauritius against Haiti
Category
Mauritius
Haiti
Result
Areakm² · Higher wins ↑
2,040
27,750
Would lose
Populationpeople · Higher wins ↑
1,248,647
11,637,398
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
29,403
3,265
Would win
Densityper km² · Higher wins ↑
612.1
419.4
Would win
Highest peakm · Higher wins ↑
828
2,674
Would lose
Coastlinekm · Higher wins ↑
177
1,771
Would lose
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓