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Untimed expedition · Data edition 01051846d672
16Wins
1Losses
0Ties
Explore the final empire · 27 countries
No countries match your search.
The path through the world
One choice at a time.
17 rounds
Where it began · 12 countries
Malta · Philippines · Oman · Mozambique · Vietnam · Germany · Latvia · Yemen · South Sudan · Canada · Kyrgyzstan · Qatar
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
MaltavsPeru
Density: 1,749.2 vs 26.3 per km² · Higher wins ↑
Conquered Peru.
Other category comparisons 2 other winning choices
All eight categories for Malta against Peru
Category
Malta
Peru
Result
Areakm² · Higher wins ↑
316
1,285,216
Would lose
Populationpeople · Higher wins ↑
552,747
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑
67,101
17,042
Would win
Densityper km² · Higher wins ↑ · Chosen
1,749.2
26.3
Would win
Highest peakm · Higher wins ↑
253
6,746
Would lose
Coastlinekm · Higher wins ↑
196.8
2,414
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
13.0° S
Would lose
2
Round 2Won14 countries · 4 lives left
PhilippinesvsZimbabwe
Population: 114,891,199 vs 16,340,822 people · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 5 other winning choices
All eight categories for Philippines against Zimbabwe
Category
Philippines
Zimbabwe
Result
Areakm² · Higher wins ↑
300,000
390,757
Would lose
Populationpeople · Higher wins ↑ · Chosen
114,891,199
16,340,822
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
5,796
Would win
Densityper km² · Higher wins ↑
383.0
41.8
Would win
Highest peakm · Higher wins ↑
2,954
2,592
Would win
Coastlinekm · Higher wins ↑
36,289
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
19.0° S
Would win
3
Round 3Won15 countries · 4 lives left
OmanvsAndorra
Area: 309,500 vs 468 km² · Higher wins ↑
Conquered Andorra.
Other category comparisons 4 other winning choices
All eight categories for Oman against Andorra
Category
Oman
Andorra
Result
Areakm² · Higher wins ↑ · Chosen
309,500
468
Would win
Populationpeople · Higher wins ↑
5,049,269
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
41,980
71,790
Would lose
Densityper km² · Higher wins ↑
16.3
172.8
Would lose
Highest peakm · Higher wins ↑
3,004
2,946
Would win
Coastlinekm · Higher wins ↑
2,092
0
Would win
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
42.5° N
Would win
4
Round 4Won16 countries · 4 lives left
MozambiquevsVanuatu
Area: 799,380 vs 12,189 km² · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 5 other winning choices
All eight categories for Mozambique against Vanuatu
Category
Mozambique
Vanuatu
Result
Areakm² · Higher wins ↑ · Chosen
799,380
12,189
Would win
Populationpeople · Higher wins ↑
33,635,160
320,409
Would win
Wealth per personint’l $ · Higher wins ↑
1,680
4,202
Would lose
Densityper km² · Higher wins ↑
42.1
26.3
Would win
Highest peakm · Higher wins ↑
2,436
1,877
Would win
Coastlinekm · Higher wins ↑
2,470
2,528
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.0° S
15.4° S
Would win
5
Round 5Won17 countries · 4 lives left
VietnamvsColombia
Population: 100,352,192 vs 52,321,152 people · Higher wins ↑
Conquered Colombia.
Other category comparisons 2 other winning choices
All eight categories for Vietnam against Colombia
Category
Vietnam
Colombia
Result
Areakm² · Higher wins ↑
331,210
1,138,910
Would lose
Populationpeople · Higher wins ↑ · Chosen
100,352,192
52,321,152
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
21,282
Would lose
Densityper km² · Higher wins ↑
303.0
45.9
Would win
Highest peakm · Higher wins ↑
3,144
5,730
Would lose
Coastlinekm · Higher wins ↑
3,444
3,208
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
3.4° N
Would lose
6
Round 6Won18 countries · 4 lives left
GermanyvsFinland
Population: 83,287,273 vs 5,583,911 people · Higher wins ↑
Conquered Finland.
Other category comparisons 7 other winning choices
All eight categories for Germany against Finland
Category
Germany
Finland
Result
Areakm² · Higher wins ↑
357,022
338,145
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
5,583,911
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
63,467
Would win
Densityper km² · Higher wins ↑
233.3
16.5
Would win
Highest peakm · Higher wins ↑
2,963
1,328
Would win
Coastlinekm · Higher wins ↑
2,389
1,250
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
63.3° N
Would win
7
Round 7Won19 countries · 4 lives left
LatviavsGhana
Wealth per person: 42,784 vs 7,563 int’l $ · Higher wins ↑
Conquered Ghana.
Other category comparisons 0 other winning choices
All eight categories for Latvia against Ghana
Category
Latvia
Ghana
Result
Areakm² · Higher wins ↑
64,589
238,533
Would lose
Populationpeople · Higher wins ↑
1,883,710
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,784
7,563
Would win
Densityper km² · Higher wins ↑
29.2
141.6
Would lose
Highest peakm · Higher wins ↑
312
885
Would lose
Coastlinekm · Higher wins ↑
498
539
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
7.0° N
Would lose
8
Round 8Won20 countries · 4 lives left
YemenvsSenegal
Population: 39,390,799 vs 18,077,573 people · Higher wins ↑
Conquered Senegal.
Other category comparisons 3 other winning choices
All eight categories for Yemen against Senegal
Category
Yemen
Senegal
Result
Areakm² · Higher wins ↑
527,968
196,722
Would win
Populationpeople · Higher wins ↑ · Chosen
39,390,799
18,077,573
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
4,782
Unavailable
Densityper km² · Higher wins ↑
74.6
91.9
Would lose
Highest peakm · Higher wins ↑
3,666
648
Would win
Coastlinekm · Higher wins ↑
1,906
531
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
15.2° N
Would lose
9
Round 9Won21 countries · 4 lives left
South SudanvsSerbia
Area: 644,329 vs 77,474 km² · Higher wins ↑
Conquered Serbia.
Other category comparisons 4 other winning choices
All eight categories for South Sudan against Serbia
Category
South Sudan
Serbia
Result
Areakm² · Higher wins ↑ · Chosen
644,329
77,474
Would win
Populationpeople · Higher wins ↑
11,483,374
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
29,777
Unavailable
Densityper km² · Higher wins ↑
17.8
85.5
Would lose
Highest peakm · Higher wins ↑
3,187
2,169
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
44.2° N
Would win
10
Round 10Won22 countries · 4 lives left
CanadavsSri Lanka
Area: 9,984,670 vs 65,610 km² · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 4 other winning choices
All eight categories for Canada against Sri Lanka
Category
Canada
Sri Lanka
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
65,610
Would win
Populationpeople · Higher wins ↑
40,049,088
22,037,000
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
14,512
Would win
Densityper km² · Higher wins ↑
4.0
335.9
Would lose
Highest peakm · Higher wins ↑
5,959
2,524
Would win
Coastlinekm · Higher wins ↑
202,080
1,340
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
7.1° N
Would lose
11
Round 11Won23 countries · 4 lives left
KyrgyzstanvsMyanmar
Highest peak: 7,439 vs 5,870 m · Higher wins ↑
Conquered Myanmar.
Other category comparisons 1 other winning choice
All eight categories for Kyrgyzstan against Myanmar
Category
Kyrgyzstan
Myanmar
Result
Areakm² · Higher wins ↑
199,951
676,578
Would lose
Populationpeople · Higher wins ↑
7,099,750
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑
7,304
5,958
Would win
Densityper km² · Higher wins ↑
35.5
80.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,439
5,870
Would win
Coastlinekm · Higher wins ↑
0
1,930
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.7° N
21.6° N
Would lose
12
Round 12Won24 countries · 4 lives left
QatarvsIsrael
Proximity to equator: 25.1° N vs 30.9° N from the equator · Closer wins ↓
Conquered Israel.
Other category comparisons 2 other winning choices
All eight categories for Qatar against Israel
Category
Qatar
Israel
Result
Areakm² · Higher wins ↑
11,586
21,937
Would lose
Populationpeople · Higher wins ↑
2,656,032
9,849,000
Would lose
Wealth per personint’l $ · Higher wins ↑
129,025
55,301
Would win
Densityper km² · Higher wins ↑
229.2
449.0
Would lose
Highest peakm · Higher wins ↑
103
2,224
Would lose
Coastlinekm · Higher wins ↑
563
273
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
25.1° N
30.9° N
Would win
13
Round 13Won25 countries · 4 lives left
MaltavsNamibia
Density: 1,749.2 vs 3.6 per km² · Higher wins ↑
Conquered Namibia.
Other category comparisons 1 other winning choice
All eight categories for Malta against Namibia
Category
Malta
Namibia
Result
Areakm² · Higher wins ↑
316
824,292
Would lose
Populationpeople · Higher wins ↑
552,747
2,963,095
Would lose
Wealth per personint’l $ · Higher wins ↑
67,101
11,248
Would win
Densityper km² · Higher wins ↑ · Chosen
1,749.2
3.6
Would win
Highest peakm · Higher wins ↑
253
2,573
Would lose
Coastlinekm · Higher wins ↑
196.8
1,572
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
20.6° S
Would lose
14
Round 14Won26 countries · 4 lives left
PeruvsRomania
Population: 33,845,617 vs 19,061,062 people · Higher wins ↑
Conquered Romania.
Other category comparisons 4 other winning choices
All eight categories for Peru against Romania
Category
Peru
Romania
Result
Areakm² · Higher wins ↑
1,285,216
238,391
Would win
Populationpeople · Higher wins ↑ · Chosen
33,845,617
19,061,062
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
45,982
Would lose
Densityper km² · Higher wins ↑
26.3
80.0
Would lose
Highest peakm · Higher wins ↑
6,746
2,544
Would win
Coastlinekm · Higher wins ↑
2,414
225
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
45.7° N
Would win
15
Round 15Won27 countries · 4 lives left
PhilippinesvsPalestine
Population: 114,891,199 vs 5,165,775 people · Higher wins ↑
Conquered Palestine.
Other category comparisons 5 other winning choices
All eight categories for Philippines against Palestine
Category
Philippines
Palestine
Result
Areakm² · Higher wins ↑
300,000
6,220
Would win
Populationpeople · Higher wins ↑ · Chosen
114,891,199
5,165,775
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
6,179
Would win
Densityper km² · Higher wins ↑
383.0
830.5
Would lose
Highest peakm · Higher wins ↑
2,954
1,020
Would win
Coastlinekm · Higher wins ↑
36,289
40
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
32.1° N
Would win
16
Round 16Won28 countries · 4 lives left
ZimbabwevsVenezuela
Density: 41.8 vs 31.0 per km² · Higher wins ↑
Conquered Venezuela.
Other category comparisons 1 other winning choice
All eight categories for Zimbabwe against Venezuela
Category
Zimbabwe
Venezuela
Result
Areakm² · Higher wins ↑
390,757
912,050
Would lose
Populationpeople · Higher wins ↑
16,340,822
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
5,796
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
41.8
31.0
Would win
Highest peakm · Higher wins ↑
2,592
4,978
Would lose
Coastlinekm · Higher wins ↑
0
2,800
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
7.2° N
Would lose
17
Round 17Lost27 countries · 3 lives left
OmanvsGuinea
Density: 16.3 vs 58.6 per km² · Higher wins ↑
Returned to the world: Oman.
Other category comparisons 4 other winning choices
All eight categories for Oman against Guinea
Category
Oman
Guinea
Result
Areakm² · Higher wins ↑
309,500
245,857
Would win
Populationpeople · Higher wins ↑
5,049,269
14,405,468
Would lose
Wealth per personint’l $ · Higher wins ↑
41,980
4,337
Would win
Densityper km² · Higher wins ↑ · Chosen
16.3
58.6
Would lose
Highest peakm · Higher wins ↑
3,004
1,752
Would win
Coastlinekm · Higher wins ↑
2,092
320
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Maltavs
Peru
Philippines
Zimbabwe
Oman
Andorra
Mozambique
Vanuatu
Vietnam
Colombia
Germany
Finland
Latvia
Ghana
Yemen
Senegal
South Sudan
Serbia
Canada
Sri Lanka
Kyrgyzstan
Myanmar
Qatar
Israel
Namibia
Romania
Palestine
Venezuela
Guinea