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Untimed expedition · Data edition 01051846d672
96Wins
4Losses
0Ties
Explore the final empire · 104 countries
No countries match your search.
The path through the world
One choice at a time.
100 rounds
Where it began · 12 countries
Palestine · Italy · Peru · France · Oman · Suriname · Estonia · Papua New Guinea · Cabo Verde · Qatar · Spain · Niger
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
81
Round 81Won87 countries · 1 life left
United Arab EmiratesvsMongolia
Wealth per person: 78,020 vs 18,020 int’l $ · Higher wins ↑
Conquered Mongolia.
Other category comparisons 5 other winning choices
All eight categories for United Arab Emirates against Mongolia
Category
United Arab Emirates
Mongolia
Result
Areakm² · Higher wins ↑
83,600
1,564,116
Would lose
Populationpeople · Higher wins ↑
10,483,751
3,481,145
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
78,020
18,020
Would win
Densityper km² · Higher wins ↑
125.4
2.2
Would win
Highest peakm · Higher wins ↑
1,905
4,374
Would lose
Coastlinekm · Higher wins ↑
1,318
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
46.0° N
Would win
82
Round 82Won88 countries · 1 life left
SyriavsAndorra
Area: 187,437 vs 468 km² · Higher wins ↑
Conquered Andorra.
Other category comparisons 3 other winning choices
All eight categories for Syria against Andorra
Category
Syria
Andorra
Result
Areakm² · Higher wins ↑ · Chosen
187,437
468
Would win
Populationpeople · Higher wins ↑
23,594,623
80,856
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
71,790
Unavailable
Densityper km² · Higher wins ↑
125.9
172.8
Would lose
Highest peakm · Higher wins ↑
2,814
2,946
Would lose
Coastlinekm · Higher wins ↑
193
0
Would win
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.0° N
42.5° N
Would win
83
Round 83Won89 countries · 1 life left
ItalyvsHonduras
Area: 301,340 vs 112,090 km² · Higher wins ↑
Conquered Honduras.
Other category comparisons 6 other winning choices
All eight categories for Italy against Honduras
Category
Italy
Honduras
Result
Areakm² · Higher wins ↑ · Chosen
301,340
112,090
Would win
Populationpeople · Higher wins ↑
58,984,216
10,644,851
Would win
Wealth per personint’l $ · Higher wins ↑
60,350
7,184
Would win
Densityper km² · Higher wins ↑
195.7
95.0
Would win
Highest peakm · Higher wins ↑
4,748
2,870
Would win
Coastlinekm · Higher wins ↑
7,600
823
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
14.7° N
Would lose
84
Round 84Won90 countries · 1 life left
SloveniavsGuatemala
Wealth per person: 56,151 vs 13,752 int’l $ · Higher wins ↑
Conquered Guatemala.
Other category comparisons 0 other winning choices
All eight categories for Slovenia against Guatemala
Category
Slovenia
Guatemala
Result
Areakm² · Higher wins ↑
20,273
108,889
Would lose
Populationpeople · Higher wins ↑
2,120,461
18,124,838
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,151
13,752
Would win
Densityper km² · Higher wins ↑
104.6
166.5
Would lose
Highest peakm · Higher wins ↑
2,864
4,220
Would lose
Coastlinekm · Higher wins ↑
46.6
400
Would lose
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
15.0° N
Would lose
85
Round 85Won91 countries · 1 life left
Bosnia and HerzegovinavsLithuania
Proximity to equator: 44.1° N vs 55.1° N from the equator · Closer wins ↓
Conquered Lithuania.
Other category comparisons 3 other winning choices
All eight categories for Bosnia and Herzegovina against Lithuania
Category
Bosnia and Herzegovina
Lithuania
Result
Areakm² · Higher wins ↑
51,197
65,300
Would lose
Populationpeople · Higher wins ↑
3,185,073
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
23,376
52,720
Would lose
Densityper km² · Higher wins ↑
62.2
44.0
Would win
Highest peakm · Higher wins ↑
2,386
294
Would win
Coastlinekm · Higher wins ↑
20
90
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
44.1° N
55.1° N
Would win
86
Round 86Won92 countries · 1 life left
GeorgiavsCroatia
Proximity to equator: 42.4° N vs 45.8° N from the equator · Closer wins ↓
Conquered Croatia.
Other category comparisons 2 other winning choices
All eight categories for Georgia against Croatia
Category
Georgia
Croatia
Result
Areakm² · Higher wins ↑
69,700
56,594
Would win
Populationpeople · Higher wins ↑
3,715,483
3,859,686
Would lose
Wealth per personint’l $ · Higher wins ↑
25,093
47,760
Would lose
Densityper km² · Higher wins ↑
53.3
68.2
Would lose
Highest peakm · Higher wins ↑
5,193
1,831
Would win
Coastlinekm · Higher wins ↑
310
5,835
Would lose
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
42.4° N
45.8° N
Would win
87
Round 87Won93 countries · 1 life left
LuxembourgvsMadagascar
Wealth per person: 152,596 vs 1,810 int’l $ · Higher wins ↑
Conquered Madagascar.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against Madagascar
Category
Luxembourg
Madagascar
Result
Areakm² · Higher wins ↑
2,586
587,041
Would lose
Populationpeople · Higher wins ↑
666,430
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
1,810
Would win
Densityper km² · Higher wins ↑
257.7
53.1
Would win
Highest peakm · Higher wins ↑
559
2,876
Would lose
Coastlinekm · Higher wins ↑
0
4,828
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
18.4° S
Would lose
88
Round 88Won94 countries · 1 life left
SudanvsIceland
Area: 1,861,484 vs 103,000 km² · Higher wins ↑
Conquered Iceland.
Other category comparisons 5 other winning choices
All eight categories for Sudan against Iceland
Category
Sudan
Iceland
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
103,000
Would win
Populationpeople · Higher wins ↑
50,042,791
385,663
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
82,257
Would lose
Densityper km² · Higher wins ↑
26.9
3.7
Would win
Highest peakm · Higher wins ↑
3,042
2,110
Would win
Coastlinekm · Higher wins ↑
853
4,970
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
64.7° N
Would win
89
Round 89Won95 countries · 1 life left
DR CongovsNew Zealand
Area: 2,344,858 vs 268,838 km² · Higher wins ↑
Conquered New Zealand.
Other category comparisons 4 other winning choices
All eight categories for DR Congo against New Zealand
Category
DR Congo
New Zealand
Result
Areakm² · Higher wins ↑ · Chosen
2,344,858
268,838
Would win
Populationpeople · Higher wins ↑
105,789,731
5,200,000
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
54,950
Would lose
Densityper km² · Higher wins ↑
45.1
19.3
Would win
Highest peakm · Higher wins ↑
5,110
3,724
Would win
Coastlinekm · Higher wins ↑
37
15,134
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
45.3° S
Would win
90
Round 90Won96 countries · 1 life 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
91
Round 91Won97 countries · 1 life left
PeruvsMalaysia
Area: 1,285,216 vs 329,847 km² · Higher wins ↑
Conquered Malaysia.
Other category comparisons 1 other winning choice
All eight categories for Peru against Malaysia
Category
Peru
Malaysia
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
329,847
Would win
Populationpeople · Higher wins ↑
33,845,617
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑
17,042
36,497
Would lose
Densityper km² · Higher wins ↑
26.3
106.5
Would lose
Highest peakm · Higher wins ↑
6,746
4,095
Would win
Coastlinekm · Higher wins ↑
2,414
4,675
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
4.4° N
Would lose
92
Round 92Won98 countries · 1 life left
JamaicavsMalawi
Coastline: 1,022 vs 0 km · Higher wins ↑
Conquered Malawi.
Other category comparisons 2 other winning choices
All eight categories for Jamaica against Malawi
Category
Jamaica
Malawi
Result
Areakm² · Higher wins ↑
10,991
118,484
Would lose
Populationpeople · Higher wins ↑
2,839,786
21,104,482
Would lose
Wealth per personint’l $ · Higher wins ↑
12,661
1,832
Would win
Densityper km² · Higher wins ↑
258.4
178.1
Would win
Highest peakm · Higher wins ↑
2,256
3,002
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,022
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
18.1° N
13.4° S
Would lose
93
Round 93Won99 countries · 1 life left
BangladeshvsSierra Leone
Population: 171,466,990 vs 8,460,512 people · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 4 other winning choices
All eight categories for Bangladesh against Sierra Leone
Category
Bangladesh
Sierra Leone
Result
Areakm² · Higher wins ↑
148,460
71,740
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
8,460,512
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
3,371
Would win
Densityper km² · Higher wins ↑
1,155.0
117.9
Would win
Highest peakm · Higher wins ↑
1,060
1,948
Would lose
Coastlinekm · Higher wins ↑
580
402
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
8.7° N
Would lose
94
Round 94Won100 countries · 1 life left
CubavsLiberia
Coastline: 3,735 vs 579 km · Higher wins ↑
Conquered Liberia.
Other category comparisons 3 other winning choices
All eight categories for Cuba against Liberia
Category
Cuba
Liberia
Result
Areakm² · Higher wins ↑
110,860
111,369
Would lose
Populationpeople · Higher wins ↑
11,019,931
5,493,031
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
Unavailable
1,796
Unavailable
Densityper km² · Higher wins ↑
99.4
49.3
Would win
Highest peakm · Higher wins ↑
1,974
1,447
Would win
Coastlinekm · Higher wins ↑ · Chosen
3,735
579
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
20.6° N
7.0° N
Would lose
95
Round 95Won101 countries · 1 life left
United StatesvsBelize
Wealth per person: 82,587 vs 13,741 int’l $ · Higher wins ↑
Conquered Belize.
Other category comparisons 5 other winning choices
All eight categories for United States against Belize
Category
United States
Belize
Result
Areakm² · Higher wins ↑
9,833,517
22,966
Would win
Populationpeople · Higher wins ↑
336,755,052
411,106
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,587
13,741
Would win
Densityper km² · Higher wins ↑
34.2
17.9
Would win
Highest peakm · Higher wins ↑
6,190
1,124
Would win
Coastlinekm · Higher wins ↑
19,924
386
Would win
Flag colourscolours · Higher wins ↑
3
12
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
17.0° N
Would lose
96
Round 96Won102 countries · 1 life left
DjiboutivsLatvia
Proximity to equator: 11.4° N vs 56.6° N from the equator · Closer wins ↓
Conquered Latvia.
Other category comparisons 3 other winning choices
All eight categories for Djibouti against Latvia
Category
Djibouti
Latvia
Result
Areakm² · Higher wins ↑
23,200
64,589
Would lose
Populationpeople · Higher wins ↑
1,152,944
1,883,710
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
42,784
Would lose
Densityper km² · Higher wins ↑
49.7
29.2
Would win
Highest peakm · Higher wins ↑
2,021
312
Would win
Coastlinekm · Higher wins ↑
314
498
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
11.4° N
56.6° N
Would win
97
Round 97Won103 countries · 1 life left
TürkiyevsAngola
Population: 85,325,965 vs 36,749,906 people · Higher wins ↑
Conquered Angola.
Other category comparisons 4 other winning choices
All eight categories for Türkiye against Angola
Category
Türkiye
Angola
Result
Areakm² · Higher wins ↑
783,562
1,246,700
Would lose
Populationpeople · Higher wins ↑ · Chosen
85,325,965
36,749,906
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
9,550
Would win
Densityper km² · Higher wins ↑
108.9
29.5
Would win
Highest peakm · Higher wins ↑
5,137
2,620
Would win
Coastlinekm · Higher wins ↑
7,200
1,600
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
13.2° S
Would lose
98
Round 98Won104 countries · 1 life left
MaltavsEquatorial Guinea
Wealth per person: 67,101 vs 16,997 int’l $ · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 1 other winning choice
All eight categories for Malta against Equatorial Guinea
Category
Malta
Equatorial Guinea
Result
Areakm² · Higher wins ↑
316
28,051
Would lose
Populationpeople · Higher wins ↑
552,747
1,847,549
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
67,101
16,997
Would win
Densityper km² · Higher wins ↑
1,749.2
65.9
Would win
Highest peakm · Higher wins ↑
253
3,008
Would lose
Coastlinekm · Higher wins ↑
196.8
296
Would lose
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
1.6° N
Would lose
99
Round 99Won105 countries · 1 life left
FrancevsCôte d’Ivoire
Wealth per person: 60,927 vs 7,243 int’l $ · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 5 other winning choices
All eight categories for France against Côte d’Ivoire
Category
France
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
551,500
322,463
Would win
Populationpeople · Higher wins ↑
65,925,961
31,165,654
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,927
7,243
Would win
Densityper km² · Higher wins ↑
119.5
96.6
Would win
Highest peakm · Higher wins ↑
4,810
1,752
Would win
Coastlinekm · Higher wins ↑
3,427
515
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
7.5° N
Would lose
100
Round 100Lost104 countries · 0 lives left
CambodiavsSouth Sudan
Highest peak: 1,810 vs 3,187 m · Higher wins ↑
Returned to the world: Cambodia.
Other category comparisons 3 other winning choices
All eight categories for Cambodia against South Sudan
Category
Cambodia
South Sudan
Result
Areakm² · Higher wins ↑
181,035
644,329
Would lose
Populationpeople · Higher wins ↑
17,423,880
11,483,374
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
7,437
Unavailable
Unavailable
Densityper km² · Higher wins ↑
96.2
17.8
Would win
Highest peakm · Higher wins ↑ · Chosen
1,810
3,187
Would lose
Coastlinekm · Higher wins ↑
443
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓