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Untimed expedition · Data edition 01051846d672
155Wins
4Losses
1Ties
Explore the final empire · 164 countries
No countries match your search.
The path through the world
One choice at a time.
160 rounds
Where it began · 12 countries
Kenya · Malta · Niger · Iran · Zambia · Brazil · Czechia · North Korea · Indonesia · Switzerland · Qatar · Peru
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 81Won89 countries · 2 lives left
PeruvsMauritania
Area: 1,285,216 vs 1,030,700 km² · Higher wins ↑
Conquered Mauritania.
Other category comparisons 6 other winning choices
All eight categories for Peru against Mauritania
Category
Peru
Mauritania
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
1,030,700
Would win
Populationpeople · Higher wins ↑
33,845,617
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
6,972
Would win
Densityper km² · Higher wins ↑
26.3
4.9
Would win
Highest peakm · Higher wins ↑
6,746
915
Would win
Coastlinekm · Higher wins ↑
2,414
754
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
19.4° N
Would win
82
Round 82Won90 countries · 2 lives left
Costa RicavsChina
Proximity to equator: 10.1° N vs 32.5° N from the equator · Closer wins ↓
Conquered China.
Other category comparisons 2 other winning choices
All eight categories for Costa Rica against China
Category
Costa Rica
China
Result
Areakm² · Higher wins ↑
51,100
9,596,960
Would lose
Populationpeople · Higher wins ↑
5,105,525
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑
29,248
25,200
Would win
Densityper km² · Higher wins ↑
99.9
147.0
Would lose
Highest peakm · Higher wins ↑
3,819
8,849
Would lose
Coastlinekm · Higher wins ↑
1,290
14,500
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.1° N
32.5° N
Would win
83
Round 83Won91 countries · 2 lives left
BurundivsSpain
Proximity to equator: 3.4° S vs 40.0° N from the equator · Closer wins ↓
Conquered Spain.
Other category comparisons 1 other winning choice
All eight categories for Burundi against Spain
Category
Burundi
Spain
Result
Areakm² · Higher wins ↑
27,830
505,370
Would lose
Populationpeople · Higher wins ↑
13,689,450
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑
1,147
55,661
Would lose
Densityper km² · Higher wins ↑
491.9
95.7
Would win
Highest peakm · Higher wins ↑
2,685
3,718
Would lose
Coastlinekm · Higher wins ↑
0
4,964
Would lose
Flag colourscolours · Higher wins ↑
3
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.4° S
40.0° N
Would win
84
Round 84Won92 countries · 2 lives left
MalaysiavsNamibia
Population: 35,126,298 vs 2,963,095 people · Higher wins ↑
Conquered Namibia.
Other category comparisons 5 other winning choices
All eight categories for Malaysia against Namibia
Category
Malaysia
Namibia
Result
Areakm² · Higher wins ↑
329,847
824,292
Would lose
Populationpeople · Higher wins ↑ · Chosen
35,126,298
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
11,248
Would win
Densityper km² · Higher wins ↑
106.5
3.6
Would win
Highest peakm · Higher wins ↑
4,095
2,573
Would win
Coastlinekm · Higher wins ↑
4,675
1,572
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
20.6° S
Would win
85
Round 85Won93 countries · 2 lives left
KenyavsSolomon Islands
Population: 55,339,003 vs 800,005 people · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 5 other winning choices
All eight categories for Kenya against Solomon Islands
Category
Kenya
Solomon Islands
Result
Areakm² · Higher wins ↑
580,367
28,896
Would win
Populationpeople · Higher wins ↑ · Chosen
55,339,003
800,005
Would win
Wealth per personint’l $ · Higher wins ↑
6,322
2,599
Would win
Densityper km² · Higher wins ↑
95.4
27.7
Would win
Highest peakm · Higher wins ↑
5,199
2,335
Would win
Coastlinekm · Higher wins ↑
536
5,313
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
0.4° N
9.6° S
Would win
86
Round 86Won94 countries · 2 lives left
SloveniavsMozambique
Wealth per person: 56,151 vs 1,680 int’l $ · Higher wins ↑
Conquered Mozambique.
Other category comparisons 2 other winning choices
All eight categories for Slovenia against Mozambique
Category
Slovenia
Mozambique
Result
Areakm² · Higher wins ↑
20,273
799,380
Would lose
Populationpeople · Higher wins ↑
2,120,461
33,635,160
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,151
1,680
Would win
Densityper km² · Higher wins ↑
104.6
42.1
Would win
Highest peakm · Higher wins ↑
2,864
2,436
Would win
Coastlinekm · Higher wins ↑
46.6
2,470
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
14.0° S
Would lose
87
Round 87Won95 countries · 2 lives left
KyrgyzstanvsAlbania
Highest peak: 7,439 vs 2,764 m · Higher wins ↑
Conquered Albania.
Other category comparisons 2 other winning choices
All eight categories for Kyrgyzstan against Albania
Category
Kyrgyzstan
Albania
Result
Areakm² · Higher wins ↑
199,951
28,748
Would win
Populationpeople · Higher wins ↑
7,099,750
2,411,658
Would win
Wealth per personint’l $ · Higher wins ↑
7,304
24,848
Would lose
Densityper km² · Higher wins ↑
35.5
83.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,439
2,764
Would win
Coastlinekm · Higher wins ↑
0
362
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
41.7° N
40.7° N
Would lose
88
Round 88Won96 countries · 2 lives left
LaosvsNepal
Proximity to equator: 19.6° N vs 29.0° N from the equator · Closer wins ↓
Conquered Nepal.
Other category comparisons 2 other winning choices
All eight categories for Laos against Nepal
Category
Laos
Nepal
Result
Areakm² · Higher wins ↑
236,800
147,181
Would win
Populationpeople · Higher wins ↑
7,664,993
29,694,614
Would lose
Wealth per personint’l $ · Higher wins ↑
9,299
5,400
Would win
Densityper km² · Higher wins ↑
32.4
201.8
Would lose
Highest peakm · Higher wins ↑
2,817
8,849
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.6° N
29.0° N
Would win
89
Round 89Won97 countries · 2 lives left
DenmarkvsSlovakia
Wealth per person: 77,425 vs 45,865 int’l $ · Higher wins ↑
Conquered Slovakia.
Other category comparisons 3 other winning choices
All eight categories for Denmark against Slovakia
Category
Denmark
Slovakia
Result
Areakm² · Higher wins ↑
43,094
49,035
Would lose
Populationpeople · Higher wins ↑
5,946,952
5,426,740
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
77,425
45,865
Would win
Densityper km² · Higher wins ↑
138.0
110.7
Would win
Highest peakm · Higher wins ↑
171
2,655
Would lose
Coastlinekm · Higher wins ↑
7,314
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
48.7° N
Would lose
90
Round 90Won98 countries · 2 lives left
PakistanvsFrance
Population: 247,504,495 vs 65,925,961 people · Higher wins ↑
Conquered France.
Other category comparisons 4 other winning choices
All eight categories for Pakistan against France
Category
Pakistan
France
Result
Areakm² · Higher wins ↑
796,095
551,500
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
65,925,961
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
60,927
Would lose
Densityper km² · Higher wins ↑
310.9
119.5
Would win
Highest peakm · Higher wins ↑
8,611
4,810
Would win
Coastlinekm · Higher wins ↑
1,046
3,427
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
46.7° N
Would win
91
Round 91Won99 countries · 2 lives left
AfghanistanvsLibya
Population: 41,454,761 vs 7,305,659 people · Higher wins ↑
Conquered Libya.
Other category comparisons 3 other winning choices
All eight categories for Afghanistan against Libya
Category
Afghanistan
Libya
Result
Areakm² · Higher wins ↑
652,230
1,759,540
Would lose
Populationpeople · Higher wins ↑ · Chosen
41,454,761
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
2,204
13,858
Would lose
Densityper km² · Higher wins ↑
63.6
4.2
Would win
Highest peakm · Higher wins ↑
7,492
2,267
Would win
Coastlinekm · Higher wins ↑
0
1,770
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
26.1° N
Would lose
92
Round 92Won100 countries · 2 lives left
IrelandvsNorth Macedonia
Wealth per person: 133,440 vs 25,354 int’l $ · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 5 other winning choices
All eight categories for Ireland against North Macedonia
Category
Ireland
North Macedonia
Result
Areakm² · Higher wins ↑
70,273
25,713
Would win
Populationpeople · Higher wins ↑
5,311,538
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
133,440
25,354
Would win
Densityper km² · Higher wins ↑
75.6
71.1
Would win
Highest peakm · Higher wins ↑
1,041
2,764
Would lose
Coastlinekm · Higher wins ↑
1,448
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
41.5° N
Would lose
93
Round 93Won101 countries · 2 lives left
MaltavsSaudi Arabia
Density: 1,749.2 vs 15.7 per km² · Higher wins ↑
Conquered Saudi Arabia.
Other category comparisons 1 other winning choice
All eight categories for Malta against Saudi Arabia
Category
Malta
Saudi Arabia
Result
Areakm² · Higher wins ↑
316
2,149,690
Would lose
Populationpeople · Higher wins ↑
552,747
33,702,731
Would lose
Wealth per personint’l $ · Higher wins ↑
67,101
71,624
Would lose
Densityper km² · Higher wins ↑ · Chosen
1,749.2
15.7
Would win
Highest peakm · Higher wins ↑
253
3,000
Would lose
Coastlinekm · Higher wins ↑
196.8
2,640
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
23.5° N
Would lose
94
Round 94Won102 countries · 2 lives left
NetherlandsvsEquatorial Guinea
Wealth per person: 80,392 vs 16,997 int’l $ · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 4 other winning choices
All eight categories for Netherlands against Equatorial Guinea
Category
Netherlands
Equatorial Guinea
Result
Areakm² · Higher wins ↑
41,543
28,051
Would win
Populationpeople · Higher wins ↑
17,877,117
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
80,392
16,997
Would win
Densityper km² · Higher wins ↑
430.3
65.9
Would win
Highest peakm · Higher wins ↑
322
3,008
Would lose
Coastlinekm · Higher wins ↑
451
296
Would win
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.2° N
1.6° N
Would lose
95
Round 95Won103 countries · 2 lives left
EritreavsBangladesh
Proximity to equator: 16.0° N vs 24.3° N from the equator · Closer wins ↓
Conquered Bangladesh.
Other category comparisons 3 other winning choices
All eight categories for Eritrea against Bangladesh
Category
Eritrea
Bangladesh
Result
Areakm² · Higher wins ↑
117,600
148,460
Would lose
Populationpeople · Higher wins ↑
3,470,390
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
9,155
Unavailable
Densityper km² · Higher wins ↑
29.5
1,155.0
Would lose
Highest peakm · Higher wins ↑
3,018
1,060
Would win
Coastlinekm · Higher wins ↑
2,234
580
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
16.0° N
24.3° N
Would win
96
Round 96Won104 countries · 2 lives left
BhutanvsFinland
Highest peak: 7,570 vs 1,328 m · Higher wins ↑
Conquered Finland.
Other category comparisons 3 other winning choices
All eight categories for Bhutan against Finland
Category
Bhutan
Finland
Result
Areakm² · Higher wins ↑
38,394
338,145
Would lose
Populationpeople · Higher wins ↑
786,385
5,583,911
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
63,467
Would lose
Densityper km² · Higher wins ↑
20.5
16.5
Would win
Highest peakm · Higher wins ↑ · Chosen
7,570
1,328
Would win
Coastlinekm · Higher wins ↑
0
1,250
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
63.3° N
Would win
97
Round 97Won105 countries · 2 lives left
FijivsCzechia
Coastline: 1,129 vs 0 km · Higher wins ↑
Conquered Czechia.
Other category comparisons 2 other winning choices
All eight categories for Fiji against Czechia
Category
Fiji
Czechia
Result
Areakm² · Higher wins ↑
18,274
78,867
Would lose
Populationpeople · Higher wins ↑
924,145
10,864,042
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
56,062
Would lose
Densityper km² · Higher wins ↑
50.6
137.8
Would lose
Highest peakm · Higher wins ↑
1,324
1,602
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,129
0
Would win
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.8° S
49.8° N
Would win
98
Round 98Won106 countries · 2 lives left
JapanvsRomania
Population: 124,516,650 vs 19,061,062 people · Higher wins ↑
Conquered Romania.
Other category comparisons 6 other winning choices
All eight categories for Japan against Romania
Category
Japan
Romania
Result
Areakm² · Higher wins ↑
377,915
238,391
Would win
Populationpeople · Higher wins ↑ · Chosen
124,516,650
19,061,062
Would win
Wealth per personint’l $ · Higher wins ↑
52,726
45,982
Would win
Densityper km² · Higher wins ↑
329.5
80.0
Would win
Highest peakm · Higher wins ↑
3,776
2,544
Would win
Coastlinekm · Higher wins ↑
29,751
225
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
45.7° N
Would win
99
Round 99Won107 countries · 2 lives left
CubavsRussia
Density: 99.4 vs 8.4 per km² · Higher wins ↑
Conquered Russia.
Other category comparisons 1 other winning choice
All eight categories for Cuba against Russia
Category
Cuba
Russia
Result
Areakm² · Higher wins ↑
110,860
17,098,242
Would lose
Populationpeople · Higher wins ↑
11,019,931
143,826,130
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
Unavailable
44,299
Unavailable
Densityper km² · Higher wins ↑ · Chosen
99.4
8.4
Would win
Highest peakm · Higher wins ↑
1,974
5,642
Would lose
Coastlinekm · Higher wins ↑
3,735
37,653
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
20.6° N
63.6° N
Would win
100
Round 100Won108 countries · 2 lives left
New ZealandvsMyanmar
Wealth per person: 54,950 vs 5,958 int’l $ · Higher wins ↑
Conquered Myanmar.
Other category comparisons 1 other winning choice
All eight categories for New Zealand against Myanmar
Category
New Zealand
Myanmar
Result
Areakm² · Higher wins ↑
268,838
676,578
Would lose
Populationpeople · Higher wins ↑
5,200,000
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,950
5,958
Would win
Densityper km² · Higher wins ↑
19.3
80.0
Would lose
Highest peakm · Higher wins ↑
3,724
5,870
Would lose
Coastlinekm · Higher wins ↑
15,134
1,930
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Peruvs
Mauritania
Costa Rica
China
Burundi
Spain
Malaysia
Namibia
Kenya
Solomon Islands
Slovenia
Mozambique
Kyrgyzstan
Albania
Laos
Nepal
Denmark
Slovakia
Pakistan
France
Afghanistan
Libya
Ireland
North Macedonia
Malta
Saudi Arabia
Netherlands
Equatorial Guinea
Eritrea
Bangladesh
Bhutan
Finland
Fiji
Czechia
Japan
Romania
Cuba
Russia
New Zealand
Myanmar