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Untimed expedition · Data edition 01051846d672
137Wins
4Losses
1Ties
Explore the final empire · 146 countries
No countries match your search.
The path through the world
One choice at a time.
142 rounds
Where it began · 12 countries
DR Congo · Senegal · Georgia · Central African Republic · Zimbabwe · Qatar · Austria · Yemen · Greece · Lithuania · Libya · Switzerland
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
41
Round 41Won53 countries · 4 lives left
SenegalvsGuinea-Bissau
Population: 18,077,573 vs 2,153,339 people · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 5 other winning choices
All eight categories for Senegal against Guinea-Bissau
Category
Senegal
Guinea-Bissau
Result
Areakm² · Higher wins ↑
196,722
36,125
Would win
Populationpeople · Higher wins ↑ · Chosen
18,077,573
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
4,782
2,956
Would win
Densityper km² · Higher wins ↑
91.9
59.6
Would win
Highest peakm · Higher wins ↑
648
277
Would win
Coastlinekm · Higher wins ↑
531
350
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.2° N
12.1° N
Would lose
42
Round 42Won54 countries · 4 lives left
SingaporevsEgypt
Density: 8,230.4 vs 114.4 per km² · Higher wins ↑
Conquered Egypt.
Other category comparisons 2 other winning choices
All eight categories for Singapore against Egypt
Category
Singapore
Egypt
Result
Areakm² · Higher wins ↑
719
1,001,450
Would lose
Populationpeople · Higher wins ↑
5,917,648
114,535,772
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
18,540
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
114.4
Would win
Highest peakm · Higher wins ↑
166
2,629
Would lose
Coastlinekm · Higher wins ↑
193
2,450
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
26.3° N
Would win
43
Round 43Won55 countries · 4 lives left
CyprusvsMadagascar
Wealth per person: 59,875 vs 1,810 int’l $ · Higher wins ↑
Conquered Madagascar.
Other category comparisons 1 other winning choice
All eight categories for Cyprus against Madagascar
Category
Cyprus
Madagascar
Result
Areakm² · Higher wins ↑
9,251
587,041
Would lose
Populationpeople · Higher wins ↑
1,344,976
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
59,875
1,810
Would win
Densityper km² · Higher wins ↑
145.4
53.1
Would win
Highest peakm · Higher wins ↑
1,951
2,876
Would lose
Coastlinekm · Higher wins ↑
648
4,828
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
18.4° S
Would lose
44
Round 44Won56 countries · 4 lives left
New ZealandvsNorth Korea
Coastline: 15,134 vs 2,495 km · Higher wins ↑
Conquered North Korea.
Other category comparisons 2 other winning choices
All eight categories for New Zealand against North Korea
Category
New Zealand
North Korea
Result
Areakm² · Higher wins ↑
268,838
120,538
Would win
Populationpeople · Higher wins ↑
5,200,000
26,418,204
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
54,950
Unavailable
Unavailable
Densityper km² · Higher wins ↑
19.3
219.2
Would lose
Highest peakm · Higher wins ↑
3,724
2,744
Would win
Coastlinekm · Higher wins ↑ · Chosen
15,134
2,495
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
39.9° N
Would lose
45
Round 45Won57 countries · 4 lives left
GeorgiavsSlovakia
Highest peak: 5,193 vs 2,655 m · Higher wins ↑
Conquered Slovakia.
Other category comparisons 3 other winning choices
All eight categories for Georgia against Slovakia
Category
Georgia
Slovakia
Result
Areakm² · Higher wins ↑
69,700
49,035
Would win
Populationpeople · Higher wins ↑
3,715,483
5,426,740
Would lose
Wealth per personint’l $ · Higher wins ↑
25,093
45,865
Would lose
Densityper km² · Higher wins ↑
53.3
110.7
Would lose
Highest peakm · Higher wins ↑ · Chosen
5,193
2,655
Would win
Coastlinekm · Higher wins ↑
310
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.4° N
48.7° N
Would win
46
Round 46Won58 countries · 4 lives left
NepalvsIndia
Highest peak: 8,849 vs 8,586 m · Higher wins ↑
Conquered India.
Other category comparisons 0 other winning choices
All eight categories for Nepal against India
Category
Nepal
India
Result
Areakm² · Higher wins ↑
147,181
3,287,263
Would lose
Populationpeople · Higher wins ↑
29,694,614
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑
5,400
9,853
Would lose
Densityper km² · Higher wins ↑
201.8
437.5
Would lose
Highest peakm · Higher wins ↑ · Chosen
8,849
8,586
Would win
Coastlinekm · Higher wins ↑
0
7,000
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
22.4° N
Would lose
47
Round 47Won59 countries · 4 lives left
Solomon IslandsvsEstonia
Coastline: 5,313 vs 3,794 km · Higher wins ↑
Conquered Estonia.
Other category comparisons 3 other winning choices
All eight categories for Solomon Islands against Estonia
Category
Solomon Islands
Estonia
Result
Areakm² · Higher wins ↑
28,896
45,228
Would lose
Populationpeople · Higher wins ↑
800,005
1,370,286
Would lose
Wealth per personint’l $ · Higher wins ↑
2,599
48,848
Would lose
Densityper km² · Higher wins ↑
27.7
30.3
Would lose
Highest peakm · Higher wins ↑
2,335
318
Would win
Coastlinekm · Higher wins ↑ · Chosen
5,313
3,794
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
9.6° S
58.6° N
Would win
48
Round 48Won60 countries · 4 lives left
EswatinivsPortugal
Proximity to equator: 26.6° S vs 40.7° N from the equator · Closer wins ↓
Conquered Portugal.
Other category comparisons 0 other winning choices
All eight categories for Eswatini against Portugal
Category
Eswatini
Portugal
Result
Areakm² · Higher wins ↑
17,364
92,090
Would lose
Populationpeople · Higher wins ↑
1,230,506
10,578,174
Would lose
Wealth per personint’l $ · Higher wins ↑
11,309
49,800
Would lose
Densityper km² · Higher wins ↑
70.9
114.9
Would lose
Highest peakm · Higher wins ↑
1,862
2,351
Would lose
Coastlinekm · Higher wins ↑
0
1,793
Would lose
Flag colourscolours · Higher wins ↑
6
6
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
26.6° S
40.7° N
Would win
49
Round 49Won61 countries · 4 lives left
Central African RepublicvsLuxembourg
Area: 622,984 vs 2,586 km² · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 4 other winning choices
All eight categories for Central African Republic against Luxembourg
Category
Central African Republic
Luxembourg
Result
Areakm² · Higher wins ↑ · Chosen
622,984
2,586
Would win
Populationpeople · Higher wins ↑
5,152,421
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
1,258
152,596
Would lose
Densityper km² · Higher wins ↑
8.3
257.7
Would lose
Highest peakm · Higher wins ↑
1,410
559
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
49.7° N
Would win
50
Round 50Won62 countries · 4 lives left
LaosvsNetherlands
Area: 236,800 vs 41,543 km² · Higher wins ↑
Conquered Netherlands.
Other category comparisons 2 other winning choices
All eight categories for Laos against Netherlands
Category
Laos
Netherlands
Result
Areakm² · Higher wins ↑ · Chosen
236,800
41,543
Would win
Populationpeople · Higher wins ↑
7,664,993
17,877,117
Would lose
Wealth per personint’l $ · Higher wins ↑
9,299
80,392
Would lose
Densityper km² · Higher wins ↑
32.4
430.3
Would lose
Highest peakm · Higher wins ↑
2,817
322
Would win
Coastlinekm · Higher wins ↑
0
451
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
19.6° N
52.2° N
Would win
51
Round 51Won63 countries · 4 lives left
CroatiavsTurkmenistan
Wealth per person: 47,760 vs 19,645 int’l $ · Higher wins ↑
Conquered Turkmenistan.
Other category comparisons 3 other winning choices
All eight categories for Croatia against Turkmenistan
Category
Croatia
Turkmenistan
Result
Areakm² · Higher wins ↑
56,594
488,100
Would lose
Populationpeople · Higher wins ↑
3,859,686
7,364,438
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
47,760
19,645
Would win
Densityper km² · Higher wins ↑
68.2
15.1
Would win
Highest peakm · Higher wins ↑
1,831
3,139
Would lose
Coastlinekm · Higher wins ↑
5,835
0
Would win
Flag colourscolours · Higher wins ↑
6
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
39.9° N
Would lose
52
Round 52Won64 countries · 4 lives left
HungaryvsBosnia and Herzegovina
Population: 9,592,186 vs 3,185,073 people · Higher wins ↑
Conquered Bosnia and Herzegovina.
Other category comparisons 3 other winning choices
All eight categories for Hungary against Bosnia and Herzegovina
Category
Hungary
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑
93,028
51,197
Would win
Populationpeople · Higher wins ↑ · Chosen
9,592,186
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑
46,376
23,376
Would win
Densityper km² · Higher wins ↑
103.1
62.2
Would win
Highest peakm · Higher wins ↑
1,014
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 ↓
47.3° N
44.1° N
Would lose
53
Round 53Won65 countries · 4 lives left
ZimbabwevsGabon
Density: 41.8 vs 9.3 per km² · Higher wins ↑
Conquered Gabon.
Other category comparisons 4 other winning choices
All eight categories for Zimbabwe against Gabon
Category
Zimbabwe
Gabon
Result
Areakm² · Higher wins ↑
390,757
267,667
Would win
Populationpeople · Higher wins ↑
16,340,822
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
5,796
20,773
Would lose
Densityper km² · Higher wins ↑ · Chosen
41.8
9.3
Would win
Highest peakm · Higher wins ↑
2,592
1,050
Would win
Coastlinekm · Higher wins ↑
0
885
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
0.6° S
Would lose
54
Round 54Won66 countries · 4 lives left
MexicovsMalta
Population: 129,739,759 vs 552,747 people · Higher wins ↑
Conquered Malta.
Other category comparisons 5 other winning choices
All eight categories for Mexico against Malta
Category
Mexico
Malta
Result
Areakm² · Higher wins ↑
1,964,375
316
Would win
Populationpeople · Higher wins ↑ · Chosen
129,739,759
552,747
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
67,101
Would lose
Densityper km² · Higher wins ↑
66.0
1,749.2
Would lose
Highest peakm · Higher wins ↑
5,636
253
Would win
Coastlinekm · Higher wins ↑
9,330
196.8
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
35.9° N
Would win
55
Round 55Won67 countries · 4 lives left
GambiavsBotswana
Density: 238.7 vs 4.3 per km² · Higher wins ↑
Conquered Botswana.
Other category comparisons 4 other winning choices
All eight categories for Gambia against Botswana
Category
Gambia
Botswana
Result
Areakm² · Higher wins ↑
11,300
581,730
Would lose
Populationpeople · Higher wins ↑
2,697,845
2,480,244
Would win
Wealth per personint’l $ · Higher wins ↑
3,292
21,029
Would lose
Densityper km² · Higher wins ↑ · Chosen
238.7
4.3
Would win
Highest peakm · Higher wins ↑
63
1,495
Would lose
Coastlinekm · Higher wins ↑
80
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.6° N
22.1° S
Would win
56
Round 56Won68 countries · 4 lives left
MalawivsJapan
Proximity to equator: 13.4° S vs 36.7° N from the equator · Closer wins ↓
Conquered Japan.
Other category comparisons 1 other winning choice
All eight categories for Malawi against Japan
Category
Malawi
Japan
Result
Areakm² · Higher wins ↑
118,484
377,915
Would lose
Populationpeople · Higher wins ↑
21,104,482
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑
1,832
52,726
Would lose
Densityper km² · Higher wins ↑
178.1
329.5
Would lose
Highest peakm · Higher wins ↑
3,002
3,776
Would lose
Coastlinekm · Higher wins ↑
0
29,751
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.4° S
36.7° N
Would win
57
Round 57Won69 countries · 4 lives left
QatarvsLebanon
Wealth per person: 129,025 vs 12,585 int’l $ · Higher wins ↑
Conquered Lebanon.
Other category comparisons 3 other winning choices
All eight categories for Qatar against Lebanon
Category
Qatar
Lebanon
Result
Areakm² · Higher wins ↑
11,586
10,400
Would win
Populationpeople · Higher wins ↑
2,656,032
5,773,493
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
129,025
12,585
Would win
Densityper km² · Higher wins ↑
229.2
555.1
Would lose
Highest peakm · Higher wins ↑
103
3,088
Would lose
Coastlinekm · Higher wins ↑
563
225
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
25.1° N
34.2° N
Would win
58
Round 58Won70 countries · 4 lives left
AzerbaijanvsSyria
Highest peak: 4,466 vs 2,814 m · Higher wins ↑
Conquered Syria.
Other category comparisons 0 other winning choices
All eight categories for Azerbaijan against Syria
Category
Azerbaijan
Syria
Result
Areakm² · Higher wins ↑
86,600
187,437
Would lose
Populationpeople · Higher wins ↑
10,153,958
23,594,623
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
23,671
Unavailable
Unavailable
Densityper km² · Higher wins ↑
117.3
125.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
4,466
2,814
Would win
Coastlinekm · Higher wins ↑
0
193
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
35.0° N
Would lose
59
Round 59Won71 countries · 4 lives left
Trinidad and TobagovsNigeria
Wealth per person: 34,652 vs 8,712 int’l $ · Higher wins ↑
Conquered Nigeria.
Other category comparisons 2 other winning choices
All eight categories for Trinidad and Tobago against Nigeria
Category
Trinidad and Tobago
Nigeria
Result
Areakm² · Higher wins ↑
5,128
923,768
Would lose
Populationpeople · Higher wins ↑
1,367,510
227,882,945
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
34,652
8,712
Would win
Densityper km² · Higher wins ↑
266.7
246.7
Would win
Highest peakm · Higher wins ↑
940
2,419
Would lose
Coastlinekm · Higher wins ↑
362
853
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
10.3° N
9.4° N
Would lose
60
Round 60Lost70 countries · 3 lives left
Côte d’IvoirevsSri Lanka
Proximity to equator: 7.5° N vs 7.1° N from the equator · Closer wins ↓
Returned to the world: Côte d’Ivoire.
Other category comparisons 2 other winning choices
All eight categories for Côte d’Ivoire against Sri Lanka
Category
Côte d’Ivoire
Sri Lanka
Result
Areakm² · Higher wins ↑
322,463
65,610
Would win
Populationpeople · Higher wins ↑
31,165,654
22,037,000
Would win
Wealth per personint’l $ · Higher wins ↑
7,243
14,512
Would lose
Densityper km² · Higher wins ↑
96.6
335.9
Would lose
Highest peakm · Higher wins ↑
1,752
2,524
Would lose
Coastlinekm · Higher wins ↑
515
1,340
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
Senegalvs
Guinea-Bissau
Singapore
Egypt
Cyprus
Madagascar
New Zealand
North Korea
Georgia
Slovakia
Nepal
India
Solomon Islands
Estonia
Eswatini
Portugal
Central African Republic
Luxembourg
Laos
Netherlands
Croatia
Turkmenistan
Hungary
Bosnia and Herzegovina
Zimbabwe
Gabon
Mexico
Malta
Gambia
Botswana
Malawi
Japan
Qatar
Lebanon
Azerbaijan
Syria
Trinidad and Tobago
Nigeria
Côte d’Ivoire
Sri Lanka