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Untimed expedition · Data edition 01051846d672
17Wins
2Losses
0Ties
Explore the final empire · 27 countries
No countries match your search.
The path through the world
One choice at a time.
19 rounds
Where it began · 12 countries
Austria · China · Germany · Senegal · Côte d’Ivoire · Israel · Guatemala · Namibia · Romania · Cambodia · Sri Lanka · Burundi
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
AustriavsSerbia
Wealth per person: 74,261 vs 29,777 int’l $ · Higher wins ↑
Conquered Serbia.
Other category comparisons 4 other winning choices
All eight categories for Austria against Serbia
Category
Austria
Serbia
Result
Areakm² · Higher wins ↑
83,871
77,474
Would win
Populationpeople · Higher wins ↑
9,131,761
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
74,261
29,777
Would win
Densityper km² · Higher wins ↑
108.9
85.5
Would win
Highest peakm · Higher wins ↑
3,798
2,169
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
44.2° N
Would lose
2
Round 2Won14 countries · 4 lives left
ChinavsYemen
Population: 1,410,710,000 vs 39,390,799 people · Higher wins ↑
Conquered Yemen.
Other category comparisons 4 other winning choices
All eight categories for China against Yemen
Category
China
Yemen
Result
Areakm² · Higher wins ↑
9,596,960
527,968
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
39,390,799
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
25,200
Unavailable
Unavailable
Densityper km² · Higher wins ↑
147.0
74.6
Would win
Highest peakm · Higher wins ↑
8,849
3,666
Would win
Coastlinekm · Higher wins ↑
14,500
1,906
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
15.3° N
Would lose
3
Round 3Won15 countries · 4 lives left
GermanyvsRwanda
Population: 83,287,273 vs 13,954,471 people · Higher wins ↑
Conquered Rwanda.
Other category comparisons 3 other winning choices
All eight categories for Germany against Rwanda
Category
Germany
Rwanda
Result
Areakm² · Higher wins ↑
357,022
26,338
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
13,954,471
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
3,519
Would win
Densityper km² · Higher wins ↑
233.3
529.8
Would lose
Highest peakm · Higher wins ↑
2,963
4,519
Would lose
Coastlinekm · Higher wins ↑
2,389
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
1.8° S
Would lose
4
Round 4Won16 countries · 4 lives left
SenegalvsBrunei
Area: 196,722 vs 5,765 km² · Higher wins ↑
Conquered Brunei.
Other category comparisons 3 other winning choices
All eight categories for Senegal against Brunei
Category
Senegal
Brunei
Result
Areakm² · Higher wins ↑ · Chosen
196,722
5,765
Would win
Populationpeople · Higher wins ↑
18,077,573
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
4,782
85,103
Would lose
Densityper km² · Higher wins ↑
91.9
79.6
Would win
Highest peakm · Higher wins ↑
648
1,850
Would lose
Coastlinekm · Higher wins ↑
531
161
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.2° N
4.5° N
Would lose
5
Round 5Won17 countries · 4 lives left
Côte d’IvoirevsEstonia
Area: 322,463 vs 45,228 km² · Higher wins ↑
Conquered Estonia.
Other category comparisons 4 other winning choices
All eight categories for Côte d’Ivoire against Estonia
Category
Côte d’Ivoire
Estonia
Result
Areakm² · Higher wins ↑ · Chosen
322,463
45,228
Would win
Populationpeople · Higher wins ↑
31,165,654
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
7,243
48,848
Would lose
Densityper km² · Higher wins ↑
96.6
30.3
Would win
Highest peakm · Higher wins ↑
1,752
318
Would win
Coastlinekm · Higher wins ↑
515
3,794
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.5° N
58.6° N
Would win
6
Round 6Won18 countries · 4 lives left
IsraelvsPalestine
Wealth per person: 55,301 vs 6,179 int’l $ · Higher wins ↑
Conquered Palestine.
Other category comparisons 5 other winning choices
All eight categories for Israel against Palestine
Category
Israel
Palestine
Result
Areakm² · Higher wins ↑
21,937
6,220
Would win
Populationpeople · Higher wins ↑
9,849,000
5,165,775
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
55,301
6,179
Would win
Densityper km² · Higher wins ↑
449.0
830.5
Would lose
Highest peakm · Higher wins ↑
2,224
1,020
Would win
Coastlinekm · Higher wins ↑
273
40
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
30.9° N
32.1° N
Would win
7
Round 7Won19 countries · 4 lives left
GuatemalavsGuinea-Bissau
Area: 108,889 vs 36,125 km² · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 6 other winning choices
All eight categories for Guatemala against Guinea-Bissau
Category
Guatemala
Guinea-Bissau
Result
Areakm² · Higher wins ↑ · Chosen
108,889
36,125
Would win
Populationpeople · Higher wins ↑
18,124,838
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
13,752
2,956
Would win
Densityper km² · Higher wins ↑
166.5
59.6
Would win
Highest peakm · Higher wins ↑
4,220
277
Would win
Coastlinekm · Higher wins ↑
400
350
Would win
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
12.1° N
Would lose
8
Round 8Lost18 countries · 3 lives left
NamibiavsCanada
Density: 3.6 vs 4.0 per km² · Higher wins ↑
Returned to the world: Namibia.
Other category comparisons 2 other winning choices
All eight categories for Namibia against Canada
Category
Namibia
Canada
Result
Areakm² · Higher wins ↑
824,292
9,984,670
Would lose
Populationpeople · Higher wins ↑
2,963,095
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
11,248
64,962
Would lose
Densityper km² · Higher wins ↑ · Chosen
3.6
4.0
Would lose
Highest peakm · Higher wins ↑
2,573
5,959
Would lose
Coastlinekm · Higher wins ↑
1,572
202,080
Would lose
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
20.6° S
58.8° N
Would win
9
Round 9Won19 countries · 3 lives left
RomaniavsTurkmenistan
Wealth per person: 45,982 vs 19,645 int’l $ · Higher wins ↑
Conquered Turkmenistan.
Other category comparisons 3 other winning choices
All eight categories for Romania against Turkmenistan
Category
Romania
Turkmenistan
Result
Areakm² · Higher wins ↑
238,391
488,100
Would lose
Populationpeople · Higher wins ↑
19,061,062
7,364,438
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
45,982
19,645
Would win
Densityper km² · Higher wins ↑
80.0
15.1
Would win
Highest peakm · Higher wins ↑
2,544
3,139
Would lose
Coastlinekm · Higher wins ↑
225
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.7° N
39.9° N
Would lose
10
Round 10Won20 countries · 3 lives left
CambodiavsDjibouti
Population: 17,423,880 vs 1,152,944 people · Higher wins ↑
Conquered Djibouti.
Other category comparisons 4 other winning choices
All eight categories for Cambodia against Djibouti
Category
Cambodia
Djibouti
Result
Areakm² · Higher wins ↑
181,035
23,200
Would win
Populationpeople · Higher wins ↑ · Chosen
17,423,880
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑
7,437
7,232
Would win
Densityper km² · Higher wins ↑
96.2
49.7
Would win
Highest peakm · Higher wins ↑
1,810
2,021
Would lose
Coastlinekm · Higher wins ↑
443
314
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
11.4° N
Would lose
11
Round 11Won21 countries · 3 lives left
Sri LankavsArgentina
Density: 335.9 vs 16.4 per km² · Higher wins ↑
Conquered Argentina.
Other category comparisons 2 other winning choices
All eight categories for Sri Lanka against Argentina
Category
Sri Lanka
Argentina
Result
Areakm² · Higher wins ↑
65,610
2,780,400
Would lose
Populationpeople · Higher wins ↑
22,037,000
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑
14,512
30,246
Would lose
Densityper km² · Higher wins ↑ · Chosen
335.9
16.4
Would win
Highest peakm · Higher wins ↑
2,524
6,962
Would lose
Coastlinekm · Higher wins ↑
1,340
4,989
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
31.4° S
Would win
12
Round 12Won22 countries · 3 lives left
BurundivsAzerbaijan
Density: 491.9 vs 117.3 per km² · Higher wins ↑
Conquered Azerbaijan.
Other category comparisons 2 other winning choices
All eight categories for Burundi against Azerbaijan
Category
Burundi
Azerbaijan
Result
Areakm² · Higher wins ↑
27,830
86,600
Would lose
Populationpeople · Higher wins ↑
13,689,450
10,153,958
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
23,671
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
117.3
Would win
Highest peakm · Higher wins ↑
2,685
4,466
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
40.5° N
Would win
13
Round 13Won23 countries · 3 lives left
AustriavsGuinea
Wealth per person: 74,261 vs 4,337 int’l $ · Higher wins ↑
Conquered Guinea.
Other category comparisons 2 other winning choices
All eight categories for Austria against Guinea
Category
Austria
Guinea
Result
Areakm² · Higher wins ↑
83,871
245,857
Would lose
Populationpeople · Higher wins ↑
9,131,761
14,405,468
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
74,261
4,337
Would win
Densityper km² · Higher wins ↑
108.9
58.6
Would win
Highest peakm · Higher wins ↑
3,798
1,752
Would win
Coastlinekm · Higher wins ↑
0
320
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.7° N
10.7° N
Would lose
14
Round 14Won24 countries · 3 lives left
SerbiavsTürkiye
Flag colours: 5 vs 2 colours · Higher wins ↑
Conquered Türkiye.
Other category comparisons 0 other winning choices
All eight categories for Serbia against Türkiye
Category
Serbia
Türkiye
Result
Areakm² · Higher wins ↑
77,474
783,562
Would lose
Populationpeople · Higher wins ↑
6,623,183
85,325,965
Would lose
Wealth per personint’l $ · Higher wins ↑
29,777
43,196
Would lose
Densityper km² · Higher wins ↑
85.5
108.9
Would lose
Highest peakm · Higher wins ↑
2,169
5,137
Would lose
Coastlinekm · Higher wins ↑
0
7,200
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
44.2° N
39.1° N
Would lose
15
Round 15Won25 countries · 3 lives left
ChinavsCzechia
Population: 1,410,710,000 vs 10,864,042 people · Higher wins ↑
Conquered Czechia.
Other category comparisons 5 other winning choices
All eight categories for China against Czechia
Category
China
Czechia
Result
Areakm² · Higher wins ↑
9,596,960
78,867
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
10,864,042
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
56,062
Would lose
Densityper km² · Higher wins ↑
147.0
137.8
Would win
Highest peakm · Higher wins ↑
8,849
1,602
Would win
Coastlinekm · Higher wins ↑
14,500
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
49.8° N
Would win
16
Round 16Won26 countries · 3 lives left
YemenvsPanama
Population: 39,390,799 vs 4,458,759 people · Higher wins ↑
Conquered Panama.
Other category comparisons 3 other winning choices
All eight categories for Yemen against Panama
Category
Yemen
Panama
Result
Areakm² · Higher wins ↑
527,968
75,420
Would win
Populationpeople · Higher wins ↑ · Chosen
39,390,799
4,458,759
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
39,846
Unavailable
Densityper km² · Higher wins ↑
74.6
59.1
Would win
Highest peakm · Higher wins ↑
3,666
3,475
Would win
Coastlinekm · Higher wins ↑
1,906
2,490
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
8.4° N
Would lose
17
Round 17Won27 countries · 3 lives left
GermanyvsJordan
Population: 83,287,273 vs 11,439,213 people · Higher wins ↑
Conquered Jordan.
Other category comparisons 5 other winning choices
All eight categories for Germany against Jordan
Category
Germany
Jordan
Result
Areakm² · Higher wins ↑
357,022
89,342
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
11,439,213
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
11,451
Would win
Densityper km² · Higher wins ↑
233.3
128.0
Would win
Highest peakm · Higher wins ↑
2,963
1,854
Would win
Coastlinekm · Higher wins ↑
2,389
26
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
30.7° N
Would lose
18
Round 18Won28 countries · 3 lives left
RwandavsItaly
Density: 529.8 vs 195.7 per km² · Higher wins ↑
Conquered Italy.
Other category comparisons 1 other winning choice
All eight categories for Rwanda against Italy
Category
Rwanda
Italy
Result
Areakm² · Higher wins ↑
26,338
301,340
Would lose
Populationpeople · Higher wins ↑
13,954,471
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
3,519
60,350
Would lose
Densityper km² · Higher wins ↑ · Chosen
529.8
195.7
Would win
Highest peakm · Higher wins ↑
4,519
4,748
Would lose
Coastlinekm · Higher wins ↑
0
7,600
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.8° S
45.1° N
Would win
19
Round 19Lost27 countries · 2 lives left
SenegalvsColombia
Proximity to equator: 15.2° N vs 3.4° N from the equator · Closer wins ↓
Returned to the world: Senegal.
Other category comparisons 1 other winning choice
All eight categories for Senegal against Colombia
Category
Senegal
Colombia
Result
Areakm² · Higher wins ↑
196,722
1,138,910
Would lose
Populationpeople · Higher wins ↑
18,077,573
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑
4,782
21,282
Would lose
Densityper km² · Higher wins ↑
91.9
45.9
Would win
Highest peakm · Higher wins ↑
648
5,730
Would lose
Coastlinekm · Higher wins ↑
531
3,208
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Austriavs
Serbia
China
Yemen
Germany
Rwanda
Senegal
Brunei
Côte d’Ivoire
Estonia
Israel
Palestine
Guatemala
Guinea-Bissau
Namibia
Canada
Romania
Turkmenistan
Cambodia
Djibouti
Sri Lanka
Argentina
Burundi
Azerbaijan
Guinea
Türkiye
Czechia
Panama
Jordan
Italy
Colombia