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Untimed expedition · Data edition 01051846d672
40Wins
2Losses
0Ties
Explore the final empire · 50 countries
No countries match your search.
The path through the world
One choice at a time.
42 rounds
Where it began · 12 countries
Zimbabwe · Estonia · Iraq · Tajikistan · Ethiopia · Sri Lanka · Brazil · Portugal · Iceland · Mexico · Mozambique · Yemen
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
EthiopiavsGuatemala
Area: 1,104,300 vs 108,889 km² · Higher wins ↑
Conquered Guatemala.
Other category comparisons 3 other winning choices
All eight categories for Ethiopia against Guatemala
Category
Ethiopia
Guatemala
Result
Areakm² · Higher wins ↑ · Chosen
1,104,300
108,889
Would win
Populationpeople · Higher wins ↑
128,691,692
18,124,838
Would win
Wealth per personint’l $ · Higher wins ↑
3,063
13,752
Would lose
Densityper km² · Higher wins ↑
116.5
166.5
Would lose
Highest peakm · Higher wins ↑
4,550
4,220
Would win
Coastlinekm · Higher wins ↑
0
400
Would lose
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.5° N
15.0° N
Would win
22
Round 22Won32 countries · 3 lives left
EswatinivsEritrea
Density: 70.9 vs 29.5 per km² · Higher wins ↑
Conquered Eritrea.
Other category comparisons 1 other winning choice
All eight categories for Eswatini against Eritrea
Category
Eswatini
Eritrea
Result
Areakm² · Higher wins ↑
17,364
117,600
Would lose
Populationpeople · Higher wins ↑
1,230,506
3,470,390
Would lose
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
11,309
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
70.9
29.5
Would win
Highest peakm · Higher wins ↑
1,862
3,018
Would lose
Coastlinekm · Higher wins ↑
0
2,234
Would lose
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.6° S
16.0° N
Would lose
23
Round 23Won33 countries · 3 lives left
Sri LankavsNiger
Density: 335.9 vs 20.6 per km² · Higher wins ↑
Conquered Niger.
Other category comparisons 5 other winning choices
All eight categories for Sri Lanka against Niger
Category
Sri Lanka
Niger
Result
Areakm² · Higher wins ↑
65,610
1,267,000
Would lose
Populationpeople · Higher wins ↑
22,037,000
26,159,867
Would lose
Wealth per personint’l $ · Higher wins ↑
14,512
1,903
Would win
Densityper km² · Higher wins ↑ · Chosen
335.9
20.6
Would win
Highest peakm · Higher wins ↑
2,524
2,022
Would win
Coastlinekm · Higher wins ↑
1,340
0
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
17.6° N
Would win
24
Round 24Won34 countries · 3 lives left
CroatiavsParaguay
Wealth per person: 47,760 vs 17,585 int’l $ · Higher wins ↑
Conquered Paraguay.
Other category comparisons 3 other winning choices
All eight categories for Croatia against Paraguay
Category
Croatia
Paraguay
Result
Areakm² · Higher wins ↑
56,594
406,752
Would lose
Populationpeople · Higher wins ↑
3,859,686
6,844,146
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
47,760
17,585
Would win
Densityper km² · Higher wins ↑
68.2
16.8
Would win
Highest peakm · Higher wins ↑
1,831
842
Would win
Coastlinekm · Higher wins ↑
5,835
0
Would win
Flag colourscolours · Higher wins ↑
6
6
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
21.6° S
Would lose
25
Round 25Won35 countries · 3 lives left
BrazilvsPhilippines
Area: 8,515,770 vs 300,000 km² · Higher wins ↑
Conquered Philippines.
Other category comparisons 4 other winning choices
All eight categories for Brazil against Philippines
Category
Brazil
Philippines
Result
Areakm² · Higher wins ↑ · Chosen
8,515,770
300,000
Would win
Populationpeople · Higher wins ↑
211,140,729
114,891,199
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
10,995
Would win
Densityper km² · Higher wins ↑
24.8
383.0
Would lose
Highest peakm · Higher wins ↑
2,994
2,954
Would win
Coastlinekm · Higher wins ↑
7,491
36,289
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
17.0° N
Would win
26
Round 26Won36 countries · 3 lives left
SwitzerlandvsTunisia
Wealth per person: 93,940 vs 14,052 int’l $ · Higher wins ↑
Conquered Tunisia.
Other category comparisons 2 other winning choices
All eight categories for Switzerland against Tunisia
Category
Switzerland
Tunisia
Result
Areakm² · Higher wins ↑
41,277
163,610
Would lose
Populationpeople · Higher wins ↑
8,888,822
12,200,431
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
14,052
Would win
Densityper km² · Higher wins ↑
215.3
74.6
Would win
Highest peakm · Higher wins ↑
4,634
1,544
Would win
Coastlinekm · Higher wins ↑
0
1,148
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
35.3° N
Would lose
27
Round 27Won37 countries · 3 lives left
PortugalvsMadagascar
Wealth per person: 49,800 vs 1,810 int’l $ · Higher wins ↑
Conquered Madagascar.
Other category comparisons 2 other winning choices
All eight categories for Portugal against Madagascar
Category
Portugal
Madagascar
Result
Areakm² · Higher wins ↑
92,090
587,041
Would lose
Populationpeople · Higher wins ↑
10,578,174
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
49,800
1,810
Would win
Densityper km² · Higher wins ↑
114.9
53.1
Would win
Highest peakm · Higher wins ↑
2,351
2,876
Would lose
Coastlinekm · Higher wins ↑
1,793
4,828
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.7° N
18.4° S
Would lose
28
Round 28Won38 countries · 3 lives left
BeninvsMauritania
Proximity to equator: 10.4° N vs 19.4° N from the equator · Closer wins ↓
Conquered Mauritania.
Other category comparisons 2 other winning choices
All eight categories for Benin against Mauritania
Category
Benin
Mauritania
Result
Areakm² · Higher wins ↑
112,622
1,030,700
Would lose
Populationpeople · Higher wins ↑
14,111,034
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑
4,133
6,972
Would lose
Densityper km² · Higher wins ↑
125.3
4.9
Would win
Highest peakm · Higher wins ↑
675
915
Would lose
Coastlinekm · Higher wins ↑
121
754
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.4° N
19.4° N
Would win
29
Round 29Won39 countries · 3 lives left
IcelandvsVanuatu
Wealth per person: 82,257 vs 4,202 int’l $ · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 4 other winning choices
All eight categories for Iceland against Vanuatu
Category
Iceland
Vanuatu
Result
Areakm² · Higher wins ↑
103,000
12,189
Would win
Populationpeople · Higher wins ↑
385,663
320,409
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
4,202
Would win
Densityper km² · Higher wins ↑
3.7
26.3
Would lose
Highest peakm · Higher wins ↑
2,110
1,877
Would win
Coastlinekm · Higher wins ↑
4,970
2,528
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
15.4° S
Would lose
30
Round 30Won40 countries · 3 lives left
GabonvsArgentina
Proximity to equator: 0.6° S vs 31.4° S from the equator · Closer wins ↓
Conquered Argentina.
Other category comparisons 0 other winning choices
All eight categories for Gabon against Argentina
Category
Gabon
Argentina
Result
Areakm² · Higher wins ↑
267,667
2,780,400
Would lose
Populationpeople · Higher wins ↑
2,484,789
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
30,246
Would lose
Densityper km² · Higher wins ↑
9.3
16.4
Would lose
Highest peakm · Higher wins ↑
1,050
6,962
Would lose
Coastlinekm · Higher wins ↑
885
4,989
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
31.4° S
Would win
31
Round 31Won41 countries · 3 lives left
MexicovsPeru
Area: 1,964,375 vs 1,285,216 km² · Higher wins ↑
Conquered Peru.
Other category comparisons 5 other winning choices
All eight categories for Mexico against Peru
Category
Mexico
Peru
Result
Areakm² · Higher wins ↑ · Chosen
1,964,375
1,285,216
Would win
Populationpeople · Higher wins ↑
129,739,759
33,845,617
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
17,042
Would win
Densityper km² · Higher wins ↑
66.0
26.3
Would win
Highest peakm · Higher wins ↑
5,636
6,746
Would lose
Coastlinekm · Higher wins ↑
9,330
2,414
Would win
Flag colourscolours · Higher wins ↑
11
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
13.0° S
Would lose
32
Round 32Won42 countries · 3 lives left
BangladeshvsSaudi Arabia
Population: 171,466,990 vs 33,702,731 people · Higher wins ↑
Conquered Saudi Arabia.
Other category comparisons 1 other winning choice
All eight categories for Bangladesh against Saudi Arabia
Category
Bangladesh
Saudi Arabia
Result
Areakm² · Higher wins ↑
148,460
2,149,690
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
33,702,731
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
71,624
Would lose
Densityper km² · Higher wins ↑
1,155.0
15.7
Would win
Highest peakm · Higher wins ↑
1,060
3,000
Would lose
Coastlinekm · Higher wins ↑
580
2,640
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
23.5° N
Would lose
33
Round 33Won43 countries · 3 lives left
MozambiquevsBurundi
Area: 799,380 vs 27,830 km² · Higher wins ↑
Conquered Burundi.
Other category comparisons 4 other winning choices
All eight categories for Mozambique against Burundi
Category
Mozambique
Burundi
Result
Areakm² · Higher wins ↑ · Chosen
799,380
27,830
Would win
Populationpeople · Higher wins ↑
33,635,160
13,689,450
Would win
Wealth per personint’l $ · Higher wins ↑
1,680
1,147
Would win
Densityper km² · Higher wins ↑
42.1
491.9
Would lose
Highest peakm · Higher wins ↑
2,436
2,685
Would lose
Coastlinekm · Higher wins ↑
2,470
0
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.0° S
3.4° S
Would lose
34
Round 34Won44 countries · 3 lives left
KazakhstanvsIsrael
Area: 2,724,900 vs 21,937 km² · Higher wins ↑
Conquered Israel.
Other category comparisons 2 other winning choices
All eight categories for Kazakhstan against Israel
Category
Kazakhstan
Israel
Result
Areakm² · Higher wins ↑ · Chosen
2,724,900
21,937
Would win
Populationpeople · Higher wins ↑
20,330,104
9,849,000
Would win
Wealth per personint’l $ · Higher wins ↑
38,547
55,301
Would lose
Densityper km² · Higher wins ↑
7.5
449.0
Would lose
Highest peakm · Higher wins ↑
7,010
2,224
Would win
Coastlinekm · Higher wins ↑
0
273
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
48.5° N
30.9° N
Would lose
35
Round 35Won45 countries · 3 lives left
YemenvsJapan
Area: 527,968 vs 377,915 km² · Higher wins ↑
Conquered Japan.
Other category comparisons 2 other winning choices
All eight categories for Yemen against Japan
Category
Yemen
Japan
Result
Areakm² · Higher wins ↑ · Chosen
527,968
377,915
Would win
Populationpeople · Higher wins ↑
39,390,799
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
52,726
Unavailable
Densityper km² · Higher wins ↑
74.6
329.5
Would lose
Highest peakm · Higher wins ↑
3,666
3,776
Would lose
Coastlinekm · Higher wins ↑
1,906
29,751
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
36.7° N
Would win
36
Round 36Won46 countries · 3 lives left
Bosnia and HerzegovinavsBahamas
Area: 51,197 vs 13,880 km² · Higher wins ↑
Conquered Bahamas.
Other category comparisons 3 other winning choices
All eight categories for Bosnia and Herzegovina against Bahamas
Category
Bosnia and Herzegovina
Bahamas
Result
Areakm² · Higher wins ↑ · Chosen
51,197
13,880
Would win
Populationpeople · Higher wins ↑
3,185,073
399,440
Would win
Wealth per personint’l $ · Higher wins ↑
23,376
39,122
Would lose
Densityper km² · Higher wins ↑
62.2
28.8
Would win
Highest peakm · Higher wins ↑
2,386
64
Would win
Coastlinekm · Higher wins ↑
20
3,542
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
44.1° N
24.7° N
Would lose
37
Round 37Won47 countries · 3 lives left
ZimbabwevsSpain
Proximity to equator: 19.0° S vs 40.0° N from the equator · Closer wins ↓
Conquered Spain.
Other category comparisons 0 other winning choices
All eight categories for Zimbabwe against Spain
Category
Zimbabwe
Spain
Result
Areakm² · Higher wins ↑
390,757
505,370
Would lose
Populationpeople · Higher wins ↑
16,340,822
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑
5,796
55,661
Would lose
Densityper km² · Higher wins ↑
41.8
95.7
Would lose
Highest peakm · Higher wins ↑
2,592
3,718
Would lose
Coastlinekm · Higher wins ↑
0
4,964
Would lose
Flag colourscolours · Higher wins ↑
6
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.0° S
40.0° N
Would win
38
Round 38Won48 countries · 3 lives left
AustraliavsDjibouti
Area: 7,741,220 vs 23,200 km² · Higher wins ↑
Conquered Djibouti.
Other category comparisons 4 other winning choices
All eight categories for Australia against Djibouti
Category
Australia
Djibouti
Result
Areakm² · Higher wins ↑ · Chosen
7,741,220
23,200
Would win
Populationpeople · Higher wins ↑
26,659,922
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑
72,273
7,232
Would win
Densityper km² · Higher wins ↑
3.4
49.7
Would lose
Highest peakm · Higher wins ↑
2,228
2,021
Would win
Coastlinekm · Higher wins ↑
25,760
314
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.1° S
11.4° N
Would lose
39
Round 39Won49 countries · 3 lives left
EstoniavsSouth Sudan
Coastline: 3,794 vs 0 km · Higher wins ↑
Conquered South Sudan.
Other category comparisons 1 other winning choice
All eight categories for Estonia against South Sudan
Category
Estonia
South Sudan
Result
Areakm² · Higher wins ↑
45,228
644,329
Would lose
Populationpeople · Higher wins ↑
1,370,286
11,483,374
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
48,848
Unavailable
Unavailable
Densityper km² · Higher wins ↑
30.3
17.8
Would win
Highest peakm · Higher wins ↑
318
3,187
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,794
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
7.1° N
Would lose
40
Round 40Won50 countries · 3 lives left
GuineavsPoland
Proximity to equator: 10.7° N vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 1 other winning choice
All eight categories for Guinea against Poland
Category
Guinea
Poland
Result
Areakm² · Higher wins ↑
245,857
312,685
Would lose
Populationpeople · Higher wins ↑
14,405,468
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
4,337
48,473
Would lose
Densityper km² · Higher wins ↑
58.6
117.3
Would lose
Highest peakm · Higher wins ↑
1,752
2,499
Would lose
Coastlinekm · Higher wins ↑
320
440
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen