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Untimed expedition · Data edition 01051846d672
143Wins
4Losses
0Ties
Explore the final empire · 151 countries
No countries match your search.
The path through the world
One choice at a time.
147 rounds
Where it began · 12 countries
Ghana · Bolivia · Guyana · Guatemala · Australia · Denmark · Jordan · Rwanda · DR Congo · Togo · Bhutan · Iceland
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 61Won69 countries · 2 lives left
JordanvsSlovenia
Proximity to equator: 30.7° N vs 46.0° N from the equator · Closer wins ↓
Conquered Slovenia.
Other category comparisons 3 other winning choices
All eight categories for Jordan against Slovenia
Category
Jordan
Slovenia
Result
Areakm² · Higher wins ↑
89,342
20,273
Would win
Populationpeople · Higher wins ↑
11,439,213
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
11,451
56,151
Would lose
Densityper km² · Higher wins ↑
128.0
104.6
Would win
Highest peakm · Higher wins ↑
1,854
2,864
Would lose
Coastlinekm · Higher wins ↑
26
46.6
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
30.7° N
46.0° N
Would win
62
Round 62Won70 countries · 2 lives left
ChilevsCabo Verde
Area: 756,102 vs 4,033 km² · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 4 other winning choices
All eight categories for Chile against Cabo Verde
Category
Chile
Cabo Verde
Result
Areakm² · Higher wins ↑ · Chosen
756,102
4,033
Would win
Populationpeople · Higher wins ↑
19,658,835
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
33,174
10,251
Would win
Densityper km² · Higher wins ↑
26.0
129.5
Would lose
Highest peakm · Higher wins ↑
6,893
2,829
Would win
Coastlinekm · Higher wins ↑
6,435
965
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
15.0° N
Would lose
63
Round 63Won71 countries · 2 lives left
EgyptvsCanada
Flag colours: 4 vs 2 colours · Higher wins ↑
Conquered Canada.
Other category comparisons 3 other winning choices
All eight categories for Egypt against Canada
Category
Egypt
Canada
Result
Areakm² · Higher wins ↑
1,001,450
9,984,670
Would lose
Populationpeople · Higher wins ↑
114,535,772
40,049,088
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
64,962
Would lose
Densityper km² · Higher wins ↑
114.4
4.0
Would win
Highest peakm · Higher wins ↑
2,629
5,959
Would lose
Coastlinekm · Higher wins ↑
2,450
202,080
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
58.8° N
Would win
64
Round 64Won72 countries · 2 lives left
El SalvadorvsNamibia
Density: 299.9 vs 3.6 per km² · Higher wins ↑
Conquered Namibia.
Other category comparisons 5 other winning choices
All eight categories for El Salvador against Namibia
Category
El Salvador
Namibia
Result
Areakm² · Higher wins ↑
21,041
824,292
Would lose
Populationpeople · Higher wins ↑
6,309,624
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
12,667
11,248
Would win
Densityper km² · Higher wins ↑ · Chosen
299.9
3.6
Would win
Highest peakm · Higher wins ↑
2,730
2,573
Would win
Coastlinekm · Higher wins ↑
307
1,572
Would lose
Flag colourscolours · Higher wins ↑
9
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.9° N
20.6° S
Would win
65
Round 65Won73 countries · 2 lives left
RwandavsOman
Density: 529.8 vs 16.3 per km² · Higher wins ↑
Conquered Oman.
Other category comparisons 3 other winning choices
All eight categories for Rwanda against Oman
Category
Rwanda
Oman
Result
Areakm² · Higher wins ↑
26,338
309,500
Would lose
Populationpeople · Higher wins ↑
13,954,471
5,049,269
Would win
Wealth per personint’l $ · Higher wins ↑
3,519
41,980
Would lose
Densityper km² · Higher wins ↑ · Chosen
529.8
16.3
Would win
Highest peakm · Higher wins ↑
4,519
3,004
Would win
Coastlinekm · Higher wins ↑
0
2,092
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.8° S
22.1° N
Would win
66
Round 66Won74 countries · 2 lives left
HungaryvsLibya
Wealth per person: 46,376 vs 13,858 int’l $ · Higher wins ↑
Conquered Libya.
Other category comparisons 2 other winning choices
All eight categories for Hungary against Libya
Category
Hungary
Libya
Result
Areakm² · Higher wins ↑
93,028
1,759,540
Would lose
Populationpeople · Higher wins ↑
9,592,186
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
46,376
13,858
Would win
Densityper km² · Higher wins ↑
103.1
4.2
Would win
Highest peakm · Higher wins ↑
1,014
2,267
Would lose
Coastlinekm · Higher wins ↑
0
1,770
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.3° N
26.1° N
Would lose
67
Round 67Won75 countries · 2 lives left
HaitivsVenezuela
Density: 419.4 vs 31.0 per km² · Higher wins ↑
Conquered Venezuela.
Other category comparisons 1 other winning choice
All eight categories for Haiti against Venezuela
Category
Haiti
Venezuela
Result
Areakm² · Higher wins ↑
27,750
912,050
Would lose
Populationpeople · Higher wins ↑
11,637,398
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
3,265
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
419.4
31.0
Would win
Highest peakm · Higher wins ↑
2,674
4,978
Would lose
Coastlinekm · Higher wins ↑
1,771
2,800
Would lose
Flag colourscolours · Higher wins ↑
7
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.2° N
7.2° N
Would lose
68
Round 68Won76 countries · 2 lives left
BotswanavsGambia
Area: 581,730 vs 11,300 km² · Higher wins ↑
Conquered Gambia.
Other category comparisons 2 other winning choices
All eight categories for Botswana against Gambia
Category
Botswana
Gambia
Result
Areakm² · Higher wins ↑ · Chosen
581,730
11,300
Would win
Populationpeople · Higher wins ↑
2,480,244
2,697,845
Would lose
Wealth per personint’l $ · Higher wins ↑
21,029
3,292
Would win
Densityper km² · Higher wins ↑
4.3
238.7
Would lose
Highest peakm · Higher wins ↑
1,495
63
Would win
Coastlinekm · Higher wins ↑
0
80
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° S
13.6° N
Would lose
69
Round 69Won77 countries · 2 lives left
DR CongovsBelgium
Population: 105,789,731 vs 11,779,946 people · Higher wins ↑
Conquered Belgium.
Other category comparisons 3 other winning choices
All eight categories for DR Congo against Belgium
Category
DR Congo
Belgium
Result
Areakm² · Higher wins ↑
2,344,858
30,528
Would win
Populationpeople · Higher wins ↑ · Chosen
105,789,731
11,779,946
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
72,630
Would lose
Densityper km² · Higher wins ↑
45.1
385.9
Would lose
Highest peakm · Higher wins ↑
5,110
694
Would win
Coastlinekm · Higher wins ↑
37
66.5
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
50.8° N
Would win
70
Round 70Won78 countries · 2 lives left
TunisiavsGeorgia
Proximity to equator: 35.3° N vs 42.4° N from the equator · Closer wins ↓
Conquered Georgia.
Other category comparisons 4 other winning choices
All eight categories for Tunisia against Georgia
Category
Tunisia
Georgia
Result
Areakm² · Higher wins ↑
163,610
69,700
Would win
Populationpeople · Higher wins ↑
12,200,431
3,715,483
Would win
Wealth per personint’l $ · Higher wins ↑
14,052
25,093
Would lose
Densityper km² · Higher wins ↑
74.6
53.3
Would win
Highest peakm · Higher wins ↑
1,544
5,193
Would lose
Coastlinekm · Higher wins ↑
1,148
310
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
35.3° N
42.4° N
Would win
71
Round 71Won79 countries · 2 lives left
Trinidad and TobagovsSouth Korea
Proximity to equator: 10.3° N vs 36.3° N from the equator · Closer wins ↓
Conquered South Korea.
Other category comparisons 0 other winning choices
All eight categories for Trinidad and Tobago against South Korea
Category
Trinidad and Tobago
South Korea
Result
Areakm² · Higher wins ↑
5,128
99,720
Would lose
Populationpeople · Higher wins ↑
1,367,510
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑
34,652
57,430
Would lose
Densityper km² · Higher wins ↑
266.7
518.6
Would lose
Highest peakm · Higher wins ↑
940
1,950
Would lose
Coastlinekm · Higher wins ↑
362
2,413
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.3° N
36.3° N
Would win
72
Round 72Won80 countries · 2 lives left
MauritaniavsCyprus
Proximity to equator: 19.4° N vs 34.9° N from the equator · Closer wins ↓
Conquered Cyprus.
Other category comparisons 3 other winning choices
All eight categories for Mauritania against Cyprus
Category
Mauritania
Cyprus
Result
Areakm² · Higher wins ↑
1,030,700
9,251
Would win
Populationpeople · Higher wins ↑
5,022,441
1,344,976
Would win
Wealth per personint’l $ · Higher wins ↑
6,972
59,875
Would lose
Densityper km² · Higher wins ↑
4.9
145.4
Would lose
Highest peakm · Higher wins ↑
915
1,951
Would lose
Coastlinekm · Higher wins ↑
754
648
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.4° N
34.9° N
Would win
73
Round 73Won81 countries · 2 lives left
TogovsPoland
Proximity to equator: 8.9° N vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 2 other winning choices
All eight categories for Togo against Poland
Category
Togo
Poland
Result
Areakm² · Higher wins ↑
56,785
312,685
Would lose
Populationpeople · Higher wins ↑
8,223,850
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
48,473
Would lose
Densityper km² · Higher wins ↑
144.8
117.3
Would win
Highest peakm · Higher wins ↑
986
2,499
Would lose
Coastlinekm · Higher wins ↑
56
440
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° N
51.9° N
Would win
74
Round 74Won82 countries · 2 lives left
PalestinevsKyrgyzstan
Density: 830.5 vs 35.5 per km² · Higher wins ↑
Conquered Kyrgyzstan.
Other category comparisons 3 other winning choices
All eight categories for Palestine against Kyrgyzstan
Category
Palestine
Kyrgyzstan
Result
Areakm² · Higher wins ↑
6,220
199,951
Would lose
Populationpeople · Higher wins ↑
5,165,775
7,099,750
Would lose
Wealth per personint’l $ · Higher wins ↑
6,179
7,304
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
35.5
Would win
Highest peakm · Higher wins ↑
1,020
7,439
Would lose
Coastlinekm · Higher wins ↑
40
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
41.7° N
Would win
75
Round 75Lost81 countries · 1 life left
LatviavsPortugal
Density: 29.2 vs 114.9 per km² · Higher wins ↑
Returned to the world: Latvia.
Other category comparisons 0 other winning choices
All eight categories for Latvia against Portugal
Category
Latvia
Portugal
Result
Areakm² · Higher wins ↑
64,589
92,090
Would lose
Populationpeople · Higher wins ↑
1,883,710
10,578,174
Would lose
Wealth per personint’l $ · Higher wins ↑
42,784
49,800
Would lose
Densityper km² · Higher wins ↑ · Chosen
29.2
114.9
Would lose
Highest peakm · Higher wins ↑
312
2,351
Would lose
Coastlinekm · Higher wins ↑
498
1,793
Would lose
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
40.7° N
Would lose
76
Round 76Won82 countries · 1 life left
ThailandvsMorocco
Proximity to equator: 15.5° N vs 31.9° N from the equator · Closer wins ↓
Conquered Morocco.
Other category comparisons 6 other winning choices
All eight categories for Thailand against Morocco
Category
Thailand
Morocco
Result
Areakm² · Higher wins ↑
513,120
446,550
Would win
Populationpeople · Higher wins ↑
71,702,435
37,712,505
Would win
Wealth per personint’l $ · Higher wins ↑
23,598
9,903
Would win
Densityper km² · Higher wins ↑
139.7
84.5
Would win
Highest peakm · Higher wins ↑
2,565
4,165
Would lose
Coastlinekm · Higher wins ↑
3,219
1,835
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.5° N
31.9° N
Would win
77
Round 77Won83 countries · 1 life left
BhutanvsBahrain
Highest peak: 7,570 vs 135 m · Higher wins ↑
Conquered Bahrain.
Other category comparisons 2 other winning choices
All eight categories for Bhutan against Bahrain
Category
Bhutan
Bahrain
Result
Areakm² · Higher wins ↑
38,394
760
Would win
Populationpeople · Higher wins ↑
786,385
1,577,059
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
64,224
Would lose
Densityper km² · Higher wins ↑
20.5
2,075.1
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
135
Would win
Coastlinekm · Higher wins ↑
0
161
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
26.0° N
Would lose
78
Round 78Won84 countries · 1 life left
Burkina FasovsBosnia and Herzegovina
Proximity to equator: 12.8° N vs 44.1° N from the equator · Closer wins ↓
Conquered Bosnia and Herzegovina.
Other category comparisons 3 other winning choices
All eight categories for Burkina Faso against Bosnia and Herzegovina
Category
Burkina Faso
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑
274,200
51,197
Would win
Populationpeople · Higher wins ↑
23,025,776
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
23,376
Would lose
Densityper km² · Higher wins ↑
84.0
62.2
Would win
Highest peakm · Higher wins ↑
749
2,386
Would lose
Coastlinekm · Higher wins ↑
0
20
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.8° N
44.1° N
Would win
79
Round 79Won85 countries · 1 life left
YemenvsCambodia
Population: 39,390,799 vs 17,423,880 people · Higher wins ↑
Conquered Cambodia.
Other category comparisons 3 other winning choices
All eight categories for Yemen against Cambodia
Category
Yemen
Cambodia
Result
Areakm² · Higher wins ↑
527,968
181,035
Would win
Populationpeople · Higher wins ↑ · Chosen
39,390,799
17,423,880
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
7,437
Unavailable
Densityper km² · Higher wins ↑
74.6
96.2
Would lose
Highest peakm · Higher wins ↑
3,666
1,810
Would win
Coastlinekm · Higher wins ↑
1,906
443
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
12.6° N
Would lose
80
Round 80Won86 countries · 1 life left
PeruvsGermany
Highest peak: 6,746 vs 2,963 m · Higher wins ↑
Conquered Germany.
Other category comparisons 3 other winning choices
All eight categories for Peru against Germany
Category
Peru
Germany
Result
Areakm² · Higher wins ↑
1,285,216
357,022
Would win
Populationpeople · Higher wins ↑
33,845,617
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
17,042
72,262
Would lose
Densityper km² · Higher wins ↑
26.3
233.3
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,746
2,963
Would win
Coastlinekm · Higher wins ↑
2,414
2,389
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Jordanvs
Slovenia
Chile
Cabo Verde
Egypt
Canada
El Salvador
Namibia
Rwanda
Oman
Hungary
Libya
Haiti
Venezuela
Botswana
Gambia
DR Congo
Belgium
Tunisia
Georgia
Trinidad and Tobago
South Korea
Mauritania
Cyprus
Togo
Poland
Palestine
Kyrgyzstan
Latvia
Portugal
Thailand
Morocco
Bhutan
Bahrain
Burkina Faso
Bosnia and Herzegovina
Yemen
Cambodia
Peru
Germany