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Untimed expedition · Data edition 01051846d672
70Wins
4Losses
1Ties
Explore the final empire · 79 countries
No countries match your search.
The path through the world
One choice at a time.
75 rounds
Where it began · 12 countries
Maldives · Syria · Colombia · Djibouti · Cameroon · Botswana · Iran · United Arab Emirates · Austria · Luxembourg · Montenegro · Bahamas
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
21
Round 21Won31 countries · 3 lives left
BotswanavsCabo Verde
Area: 581,730 vs 4,033 km² · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 2 other winning choices
All eight categories for Botswana against Cabo Verde
Category
Botswana
Cabo Verde
Result
Areakm² · Higher wins ↑ · Chosen
581,730
4,033
Would win
Populationpeople · Higher wins ↑
2,480,244
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
21,029
10,251
Would win
Densityper km² · Higher wins ↑
4.3
129.5
Would lose
Highest peakm · Higher wins ↑
1,495
2,829
Would lose
Coastlinekm · Higher wins ↑
0
965
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° S
15.0° N
Would lose
22
Round 22Won32 countries · 3 lives left
El SalvadorvsEritrea
Density: 299.9 vs 29.5 per km² · Higher wins ↑
Conquered Eritrea.
Other category comparisons 3 other winning choices
All eight categories for El Salvador against Eritrea
Category
El Salvador
Eritrea
Result
Areakm² · Higher wins ↑
21,041
117,600
Would lose
Populationpeople · Higher wins ↑
6,309,624
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
12,667
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
299.9
29.5
Would win
Highest peakm · Higher wins ↑
2,730
3,018
Would lose
Coastlinekm · Higher wins ↑
307
2,234
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.9° N
16.0° N
Would win
23
Round 23Won33 countries · 3 lives left
IranvsLebanon
Area: 1,648,195 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 5 other winning choices
All eight categories for Iran against Lebanon
Category
Iran
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
1,648,195
10,400
Would win
Populationpeople · Higher wins ↑
90,608,707
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
18,933
12,585
Would win
Densityper km² · Higher wins ↑
55.0
555.1
Would lose
Highest peakm · Higher wins ↑
5,625
3,088
Would win
Coastlinekm · Higher wins ↑
2,440
225
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
34.2° N
Would win
24
Round 24Won34 countries · 3 lives left
EgyptvsMoldova
Population: 114,535,772 vs 2,457,783 people · Higher wins ↑
Conquered Moldova.
Other category comparisons 6 other winning choices
All eight categories for Egypt against Moldova
Category
Egypt
Moldova
Result
Areakm² · Higher wins ↑
1,001,450
33,851
Would win
Populationpeople · Higher wins ↑ · Chosen
114,535,772
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
17,751
Would win
Densityper km² · Higher wins ↑
114.4
72.6
Would win
Highest peakm · Higher wins ↑
2,629
430
Would win
Coastlinekm · Higher wins ↑
2,450
0
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
47.5° N
Would win
25
Round 25Won35 countries · 3 lives left
United Arab EmiratesvsOman
Wealth per person: 78,020 vs 41,980 int’l $ · Higher wins ↑
Conquered Oman.
Other category comparisons 3 other winning choices
All eight categories for United Arab Emirates against Oman
Category
United Arab Emirates
Oman
Result
Areakm² · Higher wins ↑
83,600
309,500
Would lose
Populationpeople · Higher wins ↑
10,483,751
5,049,269
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
78,020
41,980
Would win
Densityper km² · Higher wins ↑
125.4
16.3
Would win
Highest peakm · Higher wins ↑
1,905
3,004
Would lose
Coastlinekm · Higher wins ↑
1,318
2,092
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
22.1° N
Would lose
26
Round 26Won36 countries · 3 lives left
VietnamvsLibya
Proximity to equator: 21.7° N vs 26.1° N from the equator · Closer wins ↓
Conquered Libya.
Other category comparisons 5 other winning choices
All eight categories for Vietnam against Libya
Category
Vietnam
Libya
Result
Areakm² · Higher wins ↑
331,210
1,759,540
Would lose
Populationpeople · Higher wins ↑
100,352,192
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
13,858
Would win
Densityper km² · Higher wins ↑
303.0
4.2
Would win
Highest peakm · Higher wins ↑
3,144
2,267
Would win
Coastlinekm · Higher wins ↑
3,444
1,770
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
21.7° N
26.1° N
Would win
27
Round 27Won37 countries · 3 lives left
AustriavsVanuatu
Wealth per person: 74,261 vs 4,202 int’l $ · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 4 other winning choices
All eight categories for Austria against Vanuatu
Category
Austria
Vanuatu
Result
Areakm² · Higher wins ↑
83,871
12,189
Would win
Populationpeople · Higher wins ↑
9,131,761
320,409
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
74,261
4,202
Would win
Densityper km² · Higher wins ↑
108.9
26.3
Would win
Highest peakm · Higher wins ↑
3,798
1,877
Would win
Coastlinekm · Higher wins ↑
0
2,528
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
15.4° S
Would lose
28
Round 28Won38 countries · 3 lives left
SudanvsBelgium
Area: 1,861,484 vs 30,528 km² · Higher wins ↑
Conquered Belgium.
Other category comparisons 5 other winning choices
All eight categories for Sudan against Belgium
Category
Sudan
Belgium
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
30,528
Would win
Populationpeople · Higher wins ↑
50,042,791
11,779,946
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
72,630
Would lose
Densityper km² · Higher wins ↑
26.9
385.9
Would lose
Highest peakm · Higher wins ↑
3,042
694
Would win
Coastlinekm · Higher wins ↑
853
66.5
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
50.8° N
Would win
29
Round 29Won39 countries · 3 lives left
LuxembourgvsNigeria
Wealth per person: 152,596 vs 8,712 int’l $ · Higher wins ↑
Conquered Nigeria.
Other category comparisons 2 other winning choices
All eight categories for Luxembourg against Nigeria
Category
Luxembourg
Nigeria
Result
Areakm² · Higher wins ↑
2,586
923,768
Would lose
Populationpeople · Higher wins ↑
666,430
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
8,712
Would win
Densityper km² · Higher wins ↑
257.7
246.7
Would win
Highest peakm · Higher wins ↑
559
2,419
Would lose
Coastlinekm · Higher wins ↑
0
853
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
9.4° N
Would lose
30
Round 30Won40 countries · 3 lives left
BahrainvsJapan
Density: 2,075.1 vs 329.5 per km² · Higher wins ↑
Conquered Japan.
Other category comparisons 2 other winning choices
All eight categories for Bahrain against Japan
Category
Bahrain
Japan
Result
Areakm² · Higher wins ↑
760
377,915
Would lose
Populationpeople · Higher wins ↑
1,577,059
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑
64,224
52,726
Would win
Densityper km² · Higher wins ↑ · Chosen
2,075.1
329.5
Would win
Highest peakm · Higher wins ↑
135
3,776
Would lose
Coastlinekm · Higher wins ↑
161
29,751
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.0° N
36.7° N
Would win
31
Round 31Won41 countries · 3 lives left
MontenegrovsSwitzerland
Coastline: 293.5 vs 0 km · Higher wins ↑
Conquered Switzerland.
Other category comparisons 2 other winning choices
All eight categories for Montenegro against Switzerland
Category
Montenegro
Switzerland
Result
Areakm² · Higher wins ↑
13,812
41,277
Would lose
Populationpeople · Higher wins ↑
623,529
8,888,822
Would lose
Wealth per personint’l $ · Higher wins ↑
31,863
93,940
Would lose
Densityper km² · Higher wins ↑
45.1
215.3
Would lose
Highest peakm · Higher wins ↑
2,534
4,634
Would lose
Coastlinekm · Higher wins ↑ · Chosen
293.5
0
Would win
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.8° N
46.7° N
Would win
32
Round 32Won42 countries · 3 lives left
PakistanvsNiger
Highest peak: 8,611 vs 2,022 m · Higher wins ↑
Conquered Niger.
Other category comparisons 4 other winning choices
All eight categories for Pakistan against Niger
Category
Pakistan
Niger
Result
Areakm² · Higher wins ↑
796,095
1,267,000
Would lose
Populationpeople · Higher wins ↑
247,504,495
26,159,867
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
1,903
Would win
Densityper km² · Higher wins ↑
310.9
20.6
Would win
Highest peakm · Higher wins ↑ · Chosen
8,611
2,022
Would win
Coastlinekm · Higher wins ↑
1,046
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
17.6° N
Would lose
33
Round 33Won43 countries · 3 lives left
BahamasvsCanada
Proximity to equator: 24.7° N vs 58.8° N from the equator · Closer wins ↓
Conquered Canada.
Other category comparisons 2 other winning choices
All eight categories for Bahamas against Canada
Category
Bahamas
Canada
Result
Areakm² · Higher wins ↑
13,880
9,984,670
Would lose
Populationpeople · Higher wins ↑
399,440
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
39,122
64,962
Would lose
Densityper km² · Higher wins ↑
28.8
4.0
Would win
Highest peakm · Higher wins ↑
64
5,959
Would lose
Coastlinekm · Higher wins ↑
3,542
202,080
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
24.7° N
58.8° N
Would win
34
Round 34Won44 countries · 3 lives left
ArmeniavsGuinea
Wealth per person: 21,552 vs 4,337 int’l $ · Higher wins ↑
Conquered Guinea.
Other category comparisons 2 other winning choices
All eight categories for Armenia against Guinea
Category
Armenia
Guinea
Result
Areakm² · Higher wins ↑
29,743
245,857
Would lose
Populationpeople · Higher wins ↑
2,964,300
14,405,468
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
21,552
4,337
Would win
Densityper km² · Higher wins ↑
99.7
58.6
Would win
Highest peakm · Higher wins ↑
4,090
1,752
Would win
Coastlinekm · Higher wins ↑
0
320
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.6° N
10.7° N
Would lose
35
Round 35Won45 countries · 3 lives left
MaldivesvsMalawi
Coastline: 644 vs 0 km · Higher wins ↑
Conquered Malawi.
Other category comparisons 3 other winning choices
All eight categories for Maldives against Malawi
Category
Maldives
Malawi
Result
Areakm² · Higher wins ↑
298
118,484
Would lose
Populationpeople · Higher wins ↑
525,994
21,104,482
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
1,832
Would win
Densityper km² · Higher wins ↑
1,765.1
178.1
Would win
Highest peakm · Higher wins ↑
5
3,002
Would lose
Coastlinekm · Higher wins ↑ · Chosen
644
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.3° N
13.4° S
Would win
36
Round 36Won46 countries · 3 lives left
IndiavsDenmark
Population: 1,438,069,596 vs 5,946,952 people · Higher wins ↑
Conquered Denmark.
Other category comparisons 5 other winning choices
All eight categories for India against Denmark
Category
India
Denmark
Result
Areakm² · Higher wins ↑
3,287,263
43,094
Would win
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
5,946,952
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
77,425
Would lose
Densityper km² · Higher wins ↑
437.5
138.0
Would win
Highest peakm · Higher wins ↑
8,586
171
Would win
Coastlinekm · Higher wins ↑
7,000
7,314
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
55.9° N
Would win
37
Round 37Won47 countries · 3 lives left
TogovsAfghanistan
Coastline: 56 vs 0 km · Higher wins ↑
Conquered Afghanistan.
Other category comparisons 3 other winning choices
All eight categories for Togo against Afghanistan
Category
Togo
Afghanistan
Result
Areakm² · Higher wins ↑
56,785
652,230
Would lose
Populationpeople · Higher wins ↑
8,223,850
41,454,761
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
2,204
Would win
Densityper km² · Higher wins ↑
144.8
63.6
Would win
Highest peakm · Higher wins ↑
986
7,492
Would lose
Coastlinekm · Higher wins ↑ · Chosen
56
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.9° N
34.3° N
Would win
38
Round 38Won48 countries · 3 lives left
AlbaniavsNepal
Coastline: 362 vs 0 km · Higher wins ↑
Conquered Nepal.
Other category comparisons 1 other winning choice
All eight categories for Albania against Nepal
Category
Albania
Nepal
Result
Areakm² · Higher wins ↑
28,748
147,181
Would lose
Populationpeople · Higher wins ↑
2,411,658
29,694,614
Would lose
Wealth per personint’l $ · Higher wins ↑
24,848
5,400
Would win
Densityper km² · Higher wins ↑
83.9
201.8
Would lose
Highest peakm · Higher wins ↑
2,764
8,849
Would lose
Coastlinekm · Higher wins ↑ · Chosen
362
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
40.7° N
29.0° N
Would lose
39
Round 39Won49 countries · 3 lives left
SyriavsKazakhstan
Density: 125.9 vs 7.5 per km² · Higher wins ↑
Conquered Kazakhstan.
Other category comparisons 4 other winning choices
All eight categories for Syria against Kazakhstan
Category
Syria
Kazakhstan
Result
Areakm² · Higher wins ↑
187,437
2,724,900
Would lose
Populationpeople · Higher wins ↑
23,594,623
20,330,104
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
38,547
Unavailable
Densityper km² · Higher wins ↑ · Chosen
125.9
7.5
Would win
Highest peakm · Higher wins ↑
2,814
7,010
Would lose
Coastlinekm · Higher wins ↑
193
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
35.0° N
48.5° N
Would win
40
Round 40Won50 countries · 3 lives left
GuatemalavsLatvia
Proximity to equator: 15.0° N vs 56.6° N from the equator · Closer wins ↓
Conquered Latvia.
Other category comparisons 5 other winning choices
All eight categories for Guatemala against Latvia
Category
Guatemala
Latvia
Result
Areakm² · Higher wins ↑
108,889
64,589
Would win
Populationpeople · Higher wins ↑
18,124,838
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
13,752
42,784
Would lose
Densityper km² · Higher wins ↑
166.5
29.2
Would win
Highest peakm · Higher wins ↑
4,220
312
Would win
Coastlinekm · Higher wins ↑
400
498
Would lose
Flag colourscolours · Higher wins ↑
9
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Botswanavs
Cabo Verde
El Salvador
Eritrea
Iran
Lebanon
Egypt
Moldova
United Arab Emirates
Oman
Vietnam
Libya
Austria
Vanuatu
Sudan
Belgium
Luxembourg
Nigeria
Bahrain
Japan
Montenegro
Switzerland
Pakistan
Niger
Bahamas
Canada
Armenia
Guinea
Maldives
Malawi
India
Denmark
Togo
Afghanistan
Albania
Nepal
Syria
Kazakhstan
Guatemala
Latvia