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Untimed expedition · Data edition 01051846d672
13Wins
3Losses
1Ties
Explore the final empire · 23 countries
No countries match your search.
The path through the world
One choice at a time.
17 rounds
Where it began · 12 countries
Belarus · Denmark · Eritrea · Japan · Oman · Cambodia · Niger · Chad · Yemen · Argentina · Morocco · Tajikistan
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
BelarusvsNew Zealand
Density: 44.2 vs 19.3 per km² · Higher wins ↑
Conquered New Zealand.
Other category comparisons 1 other winning choice
All eight categories for Belarus against New Zealand
Category
Belarus
New Zealand
Result
Areakm² · Higher wins ↑
207,600
268,838
Would lose
Populationpeople · Higher wins ↑
9,178,298
5,200,000
Would win
Wealth per personint’l $ · Higher wins ↑
30,860
54,950
Would lose
Densityper km² · Higher wins ↑ · Chosen
44.2
19.3
Would win
Highest peakm · Higher wins ↑
346
3,724
Would lose
Coastlinekm · Higher wins ↑
0
15,134
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
45.3° S
Would lose
2
Round 2Won14 countries · 4 lives left
DenmarkvsEstonia
Coastline: 7,314 vs 3,794 km · Higher wins ↑
Conquered Estonia.
Other category comparisons 4 other winning choices
All eight categories for Denmark against Estonia
Category
Denmark
Estonia
Result
Areakm² · Higher wins ↑
43,094
45,228
Would lose
Populationpeople · Higher wins ↑
5,946,952
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
77,425
48,848
Would win
Densityper km² · Higher wins ↑
138.0
30.3
Would win
Highest peakm · Higher wins ↑
171
318
Would lose
Coastlinekm · Higher wins ↑ · Chosen
7,314
3,794
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
58.6° N
Would win
3
Round 3Won15 countries · 4 lives left
EritreavsRepublic of the Congo
Highest peak: 3,018 vs 1,020 m · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 3 other winning choices
All eight categories for Eritrea against Republic of the Congo
Category
Eritrea
Republic of the Congo
Result
Areakm² · Higher wins ↑
117,600
342,000
Would lose
Populationpeople · Higher wins ↑
3,470,390
6,182,885
Would lose
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
6,856
Unavailable
Densityper km² · Higher wins ↑
29.5
18.1
Would win
Highest peakm · Higher wins ↑ · Chosen
3,018
1,020
Would win
Coastlinekm · Higher wins ↑
2,234
169
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.0° N
0.1° N
Would lose
4
Round 4Won16 countries · 4 lives left
JapanvsMalta
Population: 124,516,650 vs 552,747 people · Higher wins ↑
Conquered Malta.
Other category comparisons 3 other winning choices
All eight categories for Japan against Malta
Category
Japan
Malta
Result
Areakm² · Higher wins ↑
377,915
316
Would win
Populationpeople · Higher wins ↑ · Chosen
124,516,650
552,747
Would win
Wealth per personint’l $ · Higher wins ↑
52,726
67,101
Would lose
Densityper km² · Higher wins ↑
329.5
1,749.2
Would lose
Highest peakm · Higher wins ↑
3,776
253
Would win
Coastlinekm · Higher wins ↑
29,751
196.8
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
35.9° N
Would lose
5
Round 5Won17 countries · 4 lives left
OmanvsKazakhstan
Wealth per person: 41,980 vs 38,547 int’l $ · Higher wins ↑
Conquered Kazakhstan.
Other category comparisons 4 other winning choices
All eight categories for Oman against Kazakhstan
Category
Oman
Kazakhstan
Result
Areakm² · Higher wins ↑
309,500
2,724,900
Would lose
Populationpeople · Higher wins ↑
5,049,269
20,330,104
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
41,980
38,547
Would win
Densityper km² · Higher wins ↑
16.3
7.5
Would win
Highest peakm · Higher wins ↑
3,004
7,010
Would lose
Coastlinekm · Higher wins ↑
2,092
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
48.5° N
Would win
6
Round 6Won18 countries · 4 lives left
CambodiavsUzbekistan
Coastline: 443 vs 0 km · Higher wins ↑
Conquered Uzbekistan.
Other category comparisons 2 other winning choices
All eight categories for Cambodia against Uzbekistan
Category
Cambodia
Uzbekistan
Result
Areakm² · Higher wins ↑
181,035
447,400
Would lose
Populationpeople · Higher wins ↑
17,423,880
35,652,307
Would lose
Wealth per personint’l $ · Higher wins ↑
7,437
11,679
Would lose
Densityper km² · Higher wins ↑
96.2
79.7
Would win
Highest peakm · Higher wins ↑
1,810
4,643
Would lose
Coastlinekm · Higher wins ↑ · Chosen
443
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
41.5° N
Would win
7
Round 7Lost17 countries · 3 lives left
NigervsBosnia and Herzegovina
Density: 20.6 vs 62.2 per km² · Higher wins ↑
Returned to the world: Niger.
Other category comparisons 3 other winning choices
All eight categories for Niger against Bosnia and Herzegovina
Category
Niger
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑
1,267,000
51,197
Would win
Populationpeople · Higher wins ↑
26,159,867
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑
1,903
23,376
Would lose
Densityper km² · Higher wins ↑ · Chosen
20.6
62.2
Would lose
Highest peakm · Higher wins ↑
2,022
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 ↓
17.6° N
44.1° N
Would win
8
Round 8Tied17 countries · 3 lives left
ChadvsGabon
Flag colours: 3 vs 3 colours · Higher wins ↑
Gabon became contested.
Other category comparisons 4 other winning choices
All eight categories for Chad against Gabon
Category
Chad
Gabon
Result
Areakm² · Higher wins ↑
1,284,000
267,667
Would win
Populationpeople · Higher wins ↑
19,319,064
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
2,703
20,773
Would lose
Densityper km² · Higher wins ↑
15.0
9.3
Would win
Highest peakm · Higher wins ↑
3,445
1,050
Would win
Coastlinekm · Higher wins ↑
0
885
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.3° N
0.6° S
Would lose
9
Round 9Won19 countries · 3 lives left
YemenvsPapua New Guinea
Area: 527,968 vs 462,840 km² · Higher wins ↑
Conquered Papua New Guinea, Gabon.
Other category comparisons 2 other winning choices
All eight categories for Yemen against Papua New Guinea
Category
Yemen
Papua New Guinea
Result
Areakm² · Higher wins ↑ · Chosen
527,968
462,840
Would win
Populationpeople · Higher wins ↑
39,390,799
10,389,635
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
4,672
Unavailable
Densityper km² · Higher wins ↑
74.6
22.4
Would win
Highest peakm · Higher wins ↑
3,666
4,509
Would lose
Coastlinekm · Higher wins ↑
1,906
5,152
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
5.5° S
Would lose
10
Round 10Won20 countries · 3 lives left
ArgentinavsEswatini
Coastline: 4,989 vs 0 km · Higher wins ↑
Conquered Eswatini.
Other category comparisons 4 other winning choices
All eight categories for Argentina against Eswatini
Category
Argentina
Eswatini
Result
Areakm² · Higher wins ↑
2,780,400
17,364
Would win
Populationpeople · Higher wins ↑
45,538,401
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
11,309
Would win
Densityper km² · Higher wins ↑
16.4
70.9
Would lose
Highest peakm · Higher wins ↑
6,962
1,862
Would win
Coastlinekm · Higher wins ↑ · Chosen
4,989
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
26.6° S
Would lose
11
Round 11Won21 countries · 3 lives left
MoroccovsLuxembourg
Coastline: 1,835 vs 0 km · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 4 other winning choices
All eight categories for Morocco against Luxembourg
Category
Morocco
Luxembourg
Result
Areakm² · Higher wins ↑
446,550
2,586
Would win
Populationpeople · Higher wins ↑
37,712,505
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
152,596
Would lose
Densityper km² · Higher wins ↑
84.5
257.7
Would lose
Highest peakm · Higher wins ↑
4,165
559
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,835
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
49.7° N
Would win
12
Round 12Won22 countries · 3 lives left
TajikistanvsQatar
Flag colours: 4 vs 2 colours · Higher wins ↑
Conquered Qatar.
Other category comparisons 3 other winning choices
All eight categories for Tajikistan against Qatar
Category
Tajikistan
Qatar
Result
Areakm² · Higher wins ↑
144,100
11,586
Would win
Populationpeople · Higher wins ↑
10,389,799
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑
4,968
129,025
Would lose
Densityper km² · Higher wins ↑
72.1
229.2
Would lose
Highest peakm · Higher wins ↑
7,495
103
Would win
Coastlinekm · Higher wins ↑
0
563
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
25.1° N
Would lose
13
Round 13Won23 countries · 3 lives left
BelarusvsMexico
Wealth per person: 30,860 vs 25,188 int’l $ · Higher wins ↑
Conquered Mexico.
Other category comparisons 0 other winning choices
All eight categories for Belarus against Mexico
Category
Belarus
Mexico
Result
Areakm² · Higher wins ↑
207,600
1,964,375
Would lose
Populationpeople · Higher wins ↑
9,178,298
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
30,860
25,188
Would win
Densityper km² · Higher wins ↑
44.2
66.0
Would lose
Highest peakm · Higher wins ↑
346
5,636
Would lose
Coastlinekm · Higher wins ↑
0
9,330
Would lose
Flag colourscolours · Higher wins ↑
3
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
23.5° N
Would lose
14
Round 14Won24 countries · 3 lives left
New ZealandvsPeru
Coastline: 15,134 vs 2,414 km · Higher wins ↑
Conquered Peru.
Other category comparisons 2 other winning choices
All eight categories for New Zealand against Peru
Category
New Zealand
Peru
Result
Areakm² · Higher wins ↑
268,838
1,285,216
Would lose
Populationpeople · Higher wins ↑
5,200,000
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑
54,950
17,042
Would win
Densityper km² · Higher wins ↑
19.3
26.3
Would lose
Highest peakm · Higher wins ↑
3,724
6,746
Would lose
Coastlinekm · Higher wins ↑ · Chosen
15,134
2,414
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
13.0° S
Would lose
15
Round 15Won25 countries · 3 lives left
DenmarkvsComoros
Area: 43,094 vs 2,235 km² · Higher wins ↑
Conquered Comoros.
Other category comparisons 3 other winning choices
All eight categories for Denmark against Comoros
Category
Denmark
Comoros
Result
Areakm² · Higher wins ↑ · Chosen
43,094
2,235
Would win
Populationpeople · Higher wins ↑
5,946,952
850,387
Would win
Wealth per personint’l $ · Higher wins ↑
77,425
3,897
Would win
Densityper km² · Higher wins ↑
138.0
380.5
Would lose
Highest peakm · Higher wins ↑
171
2,360
Would lose
Coastlinekm · Higher wins ↑
7,314
340
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
11.7° S
Would lose
16
Round 16Lost24 countries · 2 lives left
EstoniavsIsrael
Highest peak: 318 vs 2,224 m · Higher wins ↑
Returned to the world: Estonia.
Other category comparisons 3 other winning choices
All eight categories for Estonia against Israel
Category
Estonia
Israel
Result
Areakm² · Higher wins ↑
45,228
21,937
Would win
Populationpeople · Higher wins ↑
1,370,286
9,849,000
Would lose
Wealth per personint’l $ · Higher wins ↑
48,848
55,301
Would lose
Densityper km² · Higher wins ↑
30.3
449.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
318
2,224
Would lose
Coastlinekm · Higher wins ↑
3,794
273
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
30.9° N
Would lose
17
Round 17Lost23 countries · 1 life left
EritreavsNetherlands
Density: 29.5 vs 430.3 per km² · Higher wins ↑
Returned to the world: Eritrea.
Other category comparisons 5 other winning choices
All eight categories for Eritrea against Netherlands
Category
Eritrea
Netherlands
Result
Areakm² · Higher wins ↑
117,600
41,543
Would win
Populationpeople · Higher wins ↑
3,470,390
17,877,117
Would lose
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
80,392
Unavailable
Densityper km² · Higher wins ↑ · Chosen
29.5
430.3
Would lose
Highest peakm · Higher wins ↑
3,018
322
Would win
Coastlinekm · Higher wins ↑
2,234
451
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Belarusvs
New Zealand
Denmark
Estonia
Eritrea
Republic of the Congo
Japan
Malta
Oman
Kazakhstan
Cambodia
Uzbekistan
Niger
Bosnia and Herzegovina
Chad
Gabon
Yemen
Papua New Guinea
Argentina
Eswatini
Morocco
Luxembourg
Tajikistan
Qatar
Mexico
Peru
Comoros
Israel
Netherlands