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Untimed expedition · Data edition 01051846d672
106Wins
4Losses
1Ties
Explore the final empire · 115 countries
No countries match your search.
The path through the world
One choice at a time.
111 rounds
Where it began · 12 countries
Mozambique · Kyrgyzstan · Egypt · Bulgaria · United Arab Emirates · Greece · Guyana · Uzbekistan · Botswana · Peru · Israel · Finland
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
FinlandvsNew Zealand
Wealth per person: 63,467 vs 54,950 int’l $ · Higher wins ↑
Conquered New Zealand.
Other category comparisons 2 other winning choices
All eight categories for Finland against New Zealand
Category
Finland
New Zealand
Result
Areakm² · Higher wins ↑
338,145
268,838
Would win
Populationpeople · Higher wins ↑
5,583,911
5,200,000
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
63,467
54,950
Would win
Densityper km² · Higher wins ↑
16.5
19.3
Would lose
Highest peakm · Higher wins ↑
1,328
3,724
Would lose
Coastlinekm · Higher wins ↑
1,250
15,134
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
45.3° S
Would lose
82
Round 82Won88 countries · 1 life left
SingaporevsJapan
Wealth per person: 144,728 vs 52,726 int’l $ · Higher wins ↑
Conquered Japan.
Other category comparisons 2 other winning choices
All eight categories for Singapore against Japan
Category
Singapore
Japan
Result
Areakm² · Higher wins ↑
719
377,915
Would lose
Populationpeople · Higher wins ↑
5,917,648
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
144,728
52,726
Would win
Densityper km² · Higher wins ↑
8,230.4
329.5
Would win
Highest peakm · Higher wins ↑
166
3,776
Would lose
Coastlinekm · Higher wins ↑
193
29,751
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
36.7° N
Would win
83
Round 83Won89 countries · 1 life left
MalaysiavsMontenegro
Coastline: 4,675 vs 293.5 km · Higher wins ↑
Conquered Montenegro.
Other category comparisons 6 other winning choices
All eight categories for Malaysia against Montenegro
Category
Malaysia
Montenegro
Result
Areakm² · Higher wins ↑
329,847
13,812
Would win
Populationpeople · Higher wins ↑
35,126,298
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
31,863
Would win
Densityper km² · Higher wins ↑
106.5
45.1
Would win
Highest peakm · Higher wins ↑
4,095
2,534
Would win
Coastlinekm · Higher wins ↑ · Chosen
4,675
293.5
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
42.8° N
Would win
84
Round 84Won90 countries · 1 life left
Burkina FasovsTogo
Area: 274,200 vs 56,785 km² · Higher wins ↑
Conquered Togo.
Other category comparisons 1 other winning choice
All eight categories for Burkina Faso against Togo
Category
Burkina Faso
Togo
Result
Areakm² · Higher wins ↑ · Chosen
274,200
56,785
Would win
Populationpeople · Higher wins ↑
23,025,776
8,223,850
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
3,572
Would lose
Densityper km² · Higher wins ↑
84.0
144.8
Would lose
Highest peakm · Higher wins ↑
749
986
Would lose
Coastlinekm · Higher wins ↑
0
56
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.8° N
8.9° N
Would lose
85
Round 85Won91 countries · 1 life left
MozambiquevsEritrea
Area: 799,380 vs 117,600 km² · Higher wins ↑
Conquered Eritrea.
Other category comparisons 5 other winning choices
All eight categories for Mozambique against Eritrea
Category
Mozambique
Eritrea
Result
Areakm² · Higher wins ↑ · Chosen
799,380
117,600
Would win
Populationpeople · Higher wins ↑
33,635,160
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
1,680
Unavailable
Unavailable
Densityper km² · Higher wins ↑
42.1
29.5
Would win
Highest peakm · Higher wins ↑
2,436
3,018
Would lose
Coastlinekm · Higher wins ↑
2,470
2,234
Would win
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.0° S
16.0° N
Would win
86
Round 86Won92 countries · 1 life left
AlbaniavsUkraine
Proximity to equator: 40.7° N vs 49.6° N from the equator · Closer wins ↓
Conquered Ukraine.
Other category comparisons 3 other winning choices
All eight categories for Albania against Ukraine
Category
Albania
Ukraine
Result
Areakm² · Higher wins ↑
28,748
603,550
Would lose
Populationpeople · Higher wins ↑
2,411,658
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑
24,848
17,680
Would win
Densityper km² · Higher wins ↑
83.9
62.5
Would win
Highest peakm · Higher wins ↑
2,764
2,061
Would win
Coastlinekm · Higher wins ↑
362
2,782
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
40.7° N
49.6° N
Would win
87
Round 87Won93 countries · 1 life left
GabonvsGhana
Proximity to equator: 0.6° S vs 7.0° N from the equator · Closer wins ↓
Conquered Ghana.
Other category comparisons 4 other winning choices
All eight categories for Gabon against Ghana
Category
Gabon
Ghana
Result
Areakm² · Higher wins ↑
267,667
238,533
Would win
Populationpeople · Higher wins ↑
2,484,789
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
7,563
Would win
Densityper km² · Higher wins ↑
9.3
141.6
Would lose
Highest peakm · Higher wins ↑
1,050
885
Would win
Coastlinekm · Higher wins ↑
885
539
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
7.0° N
Would win
88
Round 88Won94 countries · 1 life left
CyprusvsComoros
Wealth per person: 59,875 vs 3,897 int’l $ · Higher wins ↑
Conquered Comoros.
Other category comparisons 3 other winning choices
All eight categories for Cyprus against Comoros
Category
Cyprus
Comoros
Result
Areakm² · Higher wins ↑
9,251
2,235
Would win
Populationpeople · Higher wins ↑
1,344,976
850,387
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
59,875
3,897
Would win
Densityper km² · Higher wins ↑
145.4
380.5
Would lose
Highest peakm · Higher wins ↑
1,951
2,360
Would lose
Coastlinekm · Higher wins ↑
648
340
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
11.7° S
Would lose
89
Round 89Won95 countries · 1 life left
YemenvsSierra Leone
Area: 527,968 vs 71,740 km² · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 3 other winning choices
All eight categories for Yemen against Sierra Leone
Category
Yemen
Sierra Leone
Result
Areakm² · Higher wins ↑ · Chosen
527,968
71,740
Would win
Populationpeople · Higher wins ↑
39,390,799
8,460,512
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
3,371
Unavailable
Densityper km² · Higher wins ↑
74.6
117.9
Would lose
Highest peakm · Higher wins ↑
3,666
1,948
Would win
Coastlinekm · Higher wins ↑
1,906
402
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
8.7° N
Would lose
90
Round 90Won96 countries · 1 life left
ChinavsDjibouti
Area: 9,596,960 vs 23,200 km² · Higher wins ↑
Conquered Djibouti.
Other category comparisons 5 other winning choices
All eight categories for China against Djibouti
Category
China
Djibouti
Result
Areakm² · Higher wins ↑ · Chosen
9,596,960
23,200
Would win
Populationpeople · Higher wins ↑
1,410,710,000
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
7,232
Would win
Densityper km² · Higher wins ↑
147.0
49.7
Would win
Highest peakm · Higher wins ↑
8,849
2,021
Would win
Coastlinekm · Higher wins ↑
14,500
314
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
11.4° N
Would lose
91
Round 91Won97 countries · 1 life left
GermanyvsBelgium
Area: 357,022 vs 30,528 km² · Higher wins ↑
Conquered Belgium.
Other category comparisons 3 other winning choices
All eight categories for Germany against Belgium
Category
Germany
Belgium
Result
Areakm² · Higher wins ↑ · Chosen
357,022
30,528
Would win
Populationpeople · Higher wins ↑
83,287,273
11,779,946
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
72,630
Would lose
Densityper km² · Higher wins ↑
233.3
385.9
Would lose
Highest peakm · Higher wins ↑
2,963
694
Would win
Coastlinekm · Higher wins ↑
2,389
66.5
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
50.8° N
Would lose
92
Round 92Won98 countries · 1 life left
PhilippinesvsSwitzerland
Proximity to equator: 17.0° N vs 46.7° N from the equator · Closer wins ↓
Conquered Switzerland.
Other category comparisons 5 other winning choices
All eight categories for Philippines against Switzerland
Category
Philippines
Switzerland
Result
Areakm² · Higher wins ↑
300,000
41,277
Would win
Populationpeople · Higher wins ↑
114,891,199
8,888,822
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
93,940
Would lose
Densityper km² · Higher wins ↑
383.0
215.3
Would win
Highest peakm · Higher wins ↑
2,954
4,634
Would lose
Coastlinekm · Higher wins ↑
36,289
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
17.0° N
46.7° N
Would win
93
Round 93Won99 countries · 1 life left
KyrgyzstanvsTunisia
Highest peak: 7,439 vs 1,544 m · Higher wins ↑
Conquered Tunisia.
Other category comparisons 1 other winning choice
All eight categories for Kyrgyzstan against Tunisia
Category
Kyrgyzstan
Tunisia
Result
Areakm² · Higher wins ↑
199,951
163,610
Would win
Populationpeople · Higher wins ↑
7,099,750
12,200,431
Would lose
Wealth per personint’l $ · Higher wins ↑
7,304
14,052
Would lose
Densityper km² · Higher wins ↑
35.5
74.6
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,439
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 ↓
41.7° N
35.3° N
Would lose
94
Round 94Won100 countries · 1 life left
NicaraguavsSolomon Islands
Area: 130,370 vs 28,896 km² · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 4 other winning choices
All eight categories for Nicaragua against Solomon Islands
Category
Nicaragua
Solomon Islands
Result
Areakm² · Higher wins ↑ · Chosen
130,370
28,896
Would win
Populationpeople · Higher wins ↑
6,823,613
800,005
Would win
Wealth per personint’l $ · Higher wins ↑
8,327
2,599
Would win
Densityper km² · Higher wins ↑
52.3
27.7
Would win
Highest peakm · Higher wins ↑
2,085
2,335
Would lose
Coastlinekm · Higher wins ↑
910
5,313
Would lose
Flag colourscolours · Higher wins ↑
10
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
9.6° S
Would lose
95
Round 95Won101 countries · 1 life left
AndorravsIndia
Wealth per person: 71,790 vs 9,853 int’l $ · Higher wins ↑
Conquered India.
Other category comparisons 1 other winning choice
All eight categories for Andorra against India
Category
Andorra
India
Result
Areakm² · Higher wins ↑
468
3,287,263
Would lose
Populationpeople · Higher wins ↑
80,856
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
71,790
9,853
Would win
Densityper km² · Higher wins ↑
172.8
437.5
Would lose
Highest peakm · Higher wins ↑
2,946
8,586
Would lose
Coastlinekm · Higher wins ↑
0
7,000
Would lose
Flag colourscolours · Higher wins ↑
7
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
22.4° N
Would lose
96
Round 96Won102 countries · 1 life left
MaltavsLuxembourg
Coastline: 196.8 vs 0 km · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 2 other winning choices
All eight categories for Malta against Luxembourg
Category
Malta
Luxembourg
Result
Areakm² · Higher wins ↑
316
2,586
Would lose
Populationpeople · Higher wins ↑
552,747
666,430
Would lose
Wealth per personint’l $ · Higher wins ↑
67,101
152,596
Would lose
Densityper km² · Higher wins ↑
1,749.2
257.7
Would win
Highest peakm · Higher wins ↑
253
559
Would lose
Coastlinekm · Higher wins ↑ · Chosen
196.8
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
49.7° N
Would win
97
Round 97Won103 countries · 1 life left
RwandavsJamaica
Population: 13,954,471 vs 2,839,786 people · Higher wins ↑
Conquered Jamaica.
Other category comparisons 4 other winning choices
All eight categories for Rwanda against Jamaica
Category
Rwanda
Jamaica
Result
Areakm² · Higher wins ↑
26,338
10,991
Would win
Populationpeople · Higher wins ↑ · Chosen
13,954,471
2,839,786
Would win
Wealth per personint’l $ · Higher wins ↑
3,519
12,661
Would lose
Densityper km² · Higher wins ↑
529.8
258.4
Would win
Highest peakm · Higher wins ↑
4,519
2,256
Would win
Coastlinekm · Higher wins ↑
0
1,022
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.8° S
18.1° N
Would win
98
Round 98Won104 countries · 1 life left
EcuadorvsAngola
Density: 63.4 vs 29.5 per km² · Higher wins ↑
Conquered Angola.
Other category comparisons 5 other winning choices
All eight categories for Ecuador against Angola
Category
Ecuador
Angola
Result
Areakm² · Higher wins ↑
283,561
1,246,700
Would lose
Populationpeople · Higher wins ↑
17,980,083
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑
15,907
9,550
Would win
Densityper km² · Higher wins ↑ · Chosen
63.4
29.5
Would win
Highest peakm · Higher wins ↑
6,267
2,620
Would win
Coastlinekm · Higher wins ↑
2,237
1,600
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
1.2° S
13.2° S
Would win
99
Round 99Won105 countries · 1 life left
PalestinevsEl Salvador
Density: 830.5 vs 299.9 per km² · Higher wins ↑
Conquered El Salvador.
Other category comparisons 0 other winning choices
All eight categories for Palestine against El Salvador
Category
Palestine
El Salvador
Result
Areakm² · Higher wins ↑
6,220
21,041
Would lose
Populationpeople · Higher wins ↑
5,165,775
6,309,624
Would lose
Wealth per personint’l $ · Higher wins ↑
6,179
12,667
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
299.9
Would win
Highest peakm · Higher wins ↑
1,020
2,730
Would lose
Coastlinekm · Higher wins ↑
40
307
Would lose
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
13.9° N
Would lose
100
Round 100Won106 countries · 1 life left
MoldovavsMyanmar
Wealth per person: 17,751 vs 5,958 int’l $ · Higher wins ↑
Conquered Myanmar.
Other category comparisons 1 other winning choice
All eight categories for Moldova against Myanmar
Category
Moldova
Myanmar
Result
Areakm² · Higher wins ↑
33,851
676,578
Would lose
Populationpeople · Higher wins ↑
2,457,783
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,751
5,958
Would win
Densityper km² · Higher wins ↑
72.6
80.0
Would lose
Highest peakm · Higher wins ↑
430
5,870
Would lose
Coastlinekm · Higher wins ↑
0
1,930
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Finlandvs
New Zealand
Singapore
Japan
Malaysia
Montenegro
Burkina Faso
Togo
Mozambique
Eritrea
Albania
Ukraine
Gabon
Ghana
Cyprus
Comoros
Yemen
Sierra Leone
China
Djibouti
Germany
Belgium
Philippines
Switzerland
Kyrgyzstan
Tunisia
Nicaragua
Solomon Islands
Andorra
India
Malta
Luxembourg
Rwanda
Jamaica
Ecuador
Angola
Palestine
El Salvador
Moldova
Myanmar