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Untimed expedition · Data edition 01051846d672
70Wins
3Losses
0Ties
Explore the final empire · 79 countries
No countries match your search.
The path through the world
One choice at a time.
73 rounds
Where it began · 12 countries
Serbia · Tajikistan · Togo · Malaysia · Sweden · Papua New Guinea · Rwanda · Tanzania · Pakistan · Laos · Indonesia · Uganda
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 41Won51 countries · 3 lives left
TajikistanvsMalawi
Highest peak: 7,495 vs 3,002 m · Higher wins ↑
Conquered Malawi.
Other category comparisons 3 other winning choices
All eight categories for Tajikistan against Malawi
Category
Tajikistan
Malawi
Result
Areakm² · Higher wins ↑
144,100
118,484
Would win
Populationpeople · Higher wins ↑
10,389,799
21,104,482
Would lose
Wealth per personint’l $ · Higher wins ↑
4,968
1,832
Would win
Densityper km² · Higher wins ↑
72.1
178.1
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,495
3,002
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
13.4° S
Would lose
42
Round 42Won52 countries · 3 lives left
SloveniavsBosnia and Herzegovina
Wealth per person: 56,151 vs 23,376 int’l $ · Higher wins ↑
Conquered Bosnia and Herzegovina.
Other category comparisons 4 other winning choices
All eight categories for Slovenia against Bosnia and Herzegovina
Category
Slovenia
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑
20,273
51,197
Would lose
Populationpeople · Higher wins ↑
2,120,461
3,185,073
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,151
23,376
Would win
Densityper km² · Higher wins ↑
104.6
62.2
Would win
Highest peakm · Higher wins ↑
2,864
2,386
Would win
Coastlinekm · Higher wins ↑
46.6
20
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
44.1° N
Would lose
43
Round 43Won53 countries · 3 lives left
LuxembourgvsNiger
Wealth per person: 152,596 vs 1,903 int’l $ · Higher wins ↑
Conquered Niger.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against Niger
Category
Luxembourg
Niger
Result
Areakm² · Higher wins ↑
2,586
1,267,000
Would lose
Populationpeople · Higher wins ↑
666,430
26,159,867
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
1,903
Would win
Densityper km² · Higher wins ↑
257.7
20.6
Would win
Highest peakm · Higher wins ↑
559
2,022
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
17.6° N
Would lose
44
Round 44Won54 countries · 3 lives left
NetherlandsvsMorocco
Wealth per person: 80,392 vs 9,903 int’l $ · Higher wins ↑
Conquered Morocco.
Other category comparisons 2 other winning choices
All eight categories for Netherlands against Morocco
Category
Netherlands
Morocco
Result
Areakm² · Higher wins ↑
41,543
446,550
Would lose
Populationpeople · Higher wins ↑
17,877,117
37,712,505
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
80,392
9,903
Would win
Densityper km² · Higher wins ↑
430.3
84.5
Would win
Highest peakm · Higher wins ↑
322
4,165
Would lose
Coastlinekm · Higher wins ↑
451
1,835
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
52.2° N
31.9° N
Would lose
45
Round 45Won55 countries · 3 lives left
TogovsBangladesh
Proximity to equator: 8.9° N vs 24.3° N from the equator · Closer wins ↓
Conquered Bangladesh.
Other category comparisons 1 other winning choice
All eight categories for Togo against Bangladesh
Category
Togo
Bangladesh
Result
Areakm² · Higher wins ↑
56,785
148,460
Would lose
Populationpeople · Higher wins ↑
8,223,850
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
9,155
Would lose
Densityper km² · Higher wins ↑
144.8
1,155.0
Would lose
Highest peakm · Higher wins ↑
986
1,060
Would lose
Coastlinekm · Higher wins ↑
56
580
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° N
24.3° N
Would win
46
Round 46Won56 countries · 3 lives left
CubavsKazakhstan
Coastline: 3,735 vs 0 km · Higher wins ↑
Conquered Kazakhstan.
Other category comparisons 3 other winning choices
All eight categories for Cuba against Kazakhstan
Category
Cuba
Kazakhstan
Result
Areakm² · Higher wins ↑
110,860
2,724,900
Would lose
Populationpeople · Higher wins ↑
11,019,931
20,330,104
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
Unavailable
38,547
Unavailable
Densityper km² · Higher wins ↑
99.4
7.5
Would win
Highest peakm · Higher wins ↑
1,974
7,010
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,735
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
20.6° N
48.5° N
Would win
47
Round 47Won57 countries · 3 lives left
NigeriavsMoldova
Population: 227,882,945 vs 2,457,783 people · Higher wins ↑
Conquered Moldova.
Other category comparisons 5 other winning choices
All eight categories for Nigeria against Moldova
Category
Nigeria
Moldova
Result
Areakm² · Higher wins ↑
923,768
33,851
Would win
Populationpeople · Higher wins ↑ · Chosen
227,882,945
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
17,751
Would lose
Densityper km² · Higher wins ↑
246.7
72.6
Would win
Highest peakm · Higher wins ↑
2,419
430
Would win
Coastlinekm · Higher wins ↑
853
0
Would win
Flag colourscolours · Higher wins ↑
2
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
47.5° N
Would win
48
Round 48Won58 countries · 3 lives left
BoliviavsKenya
Highest peak: 6,542 vs 5,199 m · Higher wins ↑
Conquered Kenya.
Other category comparisons 3 other winning choices
All eight categories for Bolivia against Kenya
Category
Bolivia
Kenya
Result
Areakm² · Higher wins ↑
1,098,581
580,367
Would win
Populationpeople · Higher wins ↑
12,244,159
55,339,003
Would lose
Wealth per personint’l $ · Higher wins ↑
12,903
6,322
Would win
Densityper km² · Higher wins ↑
11.1
95.4
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,542
5,199
Would win
Coastlinekm · Higher wins ↑
0
536
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.7° S
0.4° N
Would lose
49
Round 49Won59 countries · 3 lives left
MalaysiavsVietnam
Highest peak: 4,095 vs 3,144 m · Higher wins ↑
Conquered Vietnam.
Other category comparisons 4 other winning choices
All eight categories for Malaysia against Vietnam
Category
Malaysia
Vietnam
Result
Areakm² · Higher wins ↑
329,847
331,210
Would lose
Populationpeople · Higher wins ↑
35,126,298
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑
36,497
15,034
Would win
Densityper km² · Higher wins ↑
106.5
303.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
4,095
3,144
Would win
Coastlinekm · Higher wins ↑
4,675
3,444
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
21.7° N
Would win
50
Round 50Won60 countries · 3 lives left
SurinamevsCambodia
Wealth per person: 21,128 vs 7,437 int’l $ · Higher wins ↑
Conquered Cambodia.
Other category comparisons 1 other winning choice
All eight categories for Suriname against Cambodia
Category
Suriname
Cambodia
Result
Areakm² · Higher wins ↑
163,820
181,035
Would lose
Populationpeople · Higher wins ↑
628,886
17,423,880
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
21,128
7,437
Would win
Densityper km² · Higher wins ↑
3.8
96.2
Would lose
Highest peakm · Higher wins ↑
1,230
1,810
Would lose
Coastlinekm · Higher wins ↑
386
443
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
4.1° N
12.6° N
Would win
51
Round 51Won61 countries · 3 lives left
PolandvsNew Zealand
Population: 36,687,353 vs 5,200,000 people · Higher wins ↑
Conquered New Zealand.
Other category comparisons 2 other winning choices
All eight categories for Poland against New Zealand
Category
Poland
New Zealand
Result
Areakm² · Higher wins ↑
312,685
268,838
Would win
Populationpeople · Higher wins ↑ · Chosen
36,687,353
5,200,000
Would win
Wealth per personint’l $ · Higher wins ↑
48,473
54,950
Would lose
Densityper km² · Higher wins ↑
117.3
19.3
Would win
Highest peakm · Higher wins ↑
2,499
3,724
Would lose
Coastlinekm · Higher wins ↑
440
15,134
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
45.3° S
Would lose
52
Round 52Won62 countries · 3 lives left
IrelandvsUnited Kingdom
Wealth per person: 133,440 vs 60,787 int’l $ · Higher wins ↑
Conquered United Kingdom.
Other category comparisons 0 other winning choices
All eight categories for Ireland against United Kingdom
Category
Ireland
United Kingdom
Result
Areakm² · Higher wins ↑
70,273
243,610
Would lose
Populationpeople · Higher wins ↑
5,311,538
68,526,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
133,440
60,787
Would win
Densityper km² · Higher wins ↑
75.6
281.3
Would lose
Highest peakm · Higher wins ↑
1,041
1,345
Would lose
Coastlinekm · Higher wins ↑
1,448
12,429
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
52.5° N
Would lose
53
Round 53Won63 countries · 3 lives left
SwedenvsSlovakia
Wealth per person: 68,458 vs 45,865 int’l $ · Higher wins ↑
Conquered Slovakia.
Other category comparisons 3 other winning choices
All eight categories for Sweden against Slovakia
Category
Sweden
Slovakia
Result
Areakm² · Higher wins ↑
450,295
49,035
Would win
Populationpeople · Higher wins ↑
10,536,632
5,426,740
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
68,458
45,865
Would win
Densityper km² · Higher wins ↑
23.4
110.7
Would lose
Highest peakm · Higher wins ↑
2,100
2,655
Would lose
Coastlinekm · Higher wins ↑
3,218
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
65.8° N
48.7° N
Would lose
54
Round 54Won64 countries · 3 lives left
MongoliavsAzerbaijan
Area: 1,564,116 vs 86,600 km² · Higher wins ↑
Conquered Azerbaijan.
Other category comparisons 0 other winning choices
All eight categories for Mongolia against Azerbaijan
Category
Mongolia
Azerbaijan
Result
Areakm² · Higher wins ↑ · Chosen
1,564,116
86,600
Would win
Populationpeople · Higher wins ↑
3,481,145
10,153,958
Would lose
Wealth per personint’l $ · Higher wins ↑
18,020
23,671
Would lose
Densityper km² · Higher wins ↑
2.2
117.3
Would lose
Highest peakm · Higher wins ↑
4,374
4,466
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
40.5° N
Would lose
55
Round 55Won65 countries · 3 lives left
RussiavsLibya
Area: 17,098,242 vs 1,759,540 km² · Higher wins ↑
Conquered Libya.
Other category comparisons 5 other winning choices
All eight categories for Russia against Libya
Category
Russia
Libya
Result
Areakm² · Higher wins ↑ · Chosen
17,098,242
1,759,540
Would win
Populationpeople · Higher wins ↑
143,826,130
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
13,858
Would win
Densityper km² · Higher wins ↑
8.4
4.2
Would win
Highest peakm · Higher wins ↑
5,642
2,267
Would win
Coastlinekm · Higher wins ↑
37,653
1,770
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
26.1° N
Would lose
56
Round 56Won66 countries · 3 lives left
ItalyvsYemen
Coastline: 7,600 vs 1,906 km · Higher wins ↑
Conquered Yemen.
Other category comparisons 3 other winning choices
All eight categories for Italy against Yemen
Category
Italy
Yemen
Result
Areakm² · Higher wins ↑
301,340
527,968
Would lose
Populationpeople · Higher wins ↑
58,984,216
39,390,799
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
60,350
Unavailable
Unavailable
Densityper km² · Higher wins ↑
195.7
74.6
Would win
Highest peakm · Higher wins ↑
4,748
3,666
Would win
Coastlinekm · Higher wins ↑ · Chosen
7,600
1,906
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
15.3° N
Would lose
57
Round 57Won67 countries · 3 lives left
Papua New GuineavsLiberia
Population: 10,389,635 vs 5,493,031 people · Higher wins ↑
Conquered Liberia.
Other category comparisons 6 other winning choices
All eight categories for Papua New Guinea against Liberia
Category
Papua New Guinea
Liberia
Result
Areakm² · Higher wins ↑
462,840
111,369
Would win
Populationpeople · Higher wins ↑ · Chosen
10,389,635
5,493,031
Would win
Wealth per personint’l $ · Higher wins ↑
4,672
1,796
Would win
Densityper km² · Higher wins ↑
22.4
49.3
Would lose
Highest peakm · Higher wins ↑
4,509
1,447
Would win
Coastlinekm · Higher wins ↑
5,152
579
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
7.0° N
Would win
58
Round 58Won68 countries · 3 lives left
FijivsBulgaria
Coastline: 1,129 vs 354 km · Higher wins ↑
Conquered Bulgaria.
Other category comparisons 2 other winning choices
All eight categories for Fiji against Bulgaria
Category
Fiji
Bulgaria
Result
Areakm² · Higher wins ↑
18,274
110,879
Would lose
Populationpeople · Higher wins ↑
924,145
6,446,596
Would lose
Wealth per personint’l $ · Higher wins ↑
14,656
38,829
Would lose
Densityper km² · Higher wins ↑
50.6
58.1
Would lose
Highest peakm · Higher wins ↑
1,324
2,925
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,129
354
Would win
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.8° S
42.5° N
Would win
59
Round 59Won69 countries · 3 lives left
Timor-LestevsBurkina Faso
Density: 93.1 vs 84.0 per km² · Higher wins ↑
Conquered Burkina Faso.
Other category comparisons 5 other winning choices
All eight categories for Timor-Leste against Burkina Faso
Category
Timor-Leste
Burkina Faso
Result
Areakm² · Higher wins ↑
14,874
274,200
Would lose
Populationpeople · Higher wins ↑
1,384,286
23,025,776
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
2,762
Would win
Densityper km² · Higher wins ↑ · Chosen
93.1
84.0
Would win
Highest peakm · Higher wins ↑
2,963
749
Would win
Coastlinekm · Higher wins ↑
706
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
12.8° N
Would win
60
Round 60Won70 countries · 3 lives left
JordanvsIsrael
Area: 89,342 vs 21,937 km² · Higher wins ↑
Conquered Israel.
Other category comparisons 3 other winning choices
All eight categories for Jordan against Israel
Category
Jordan
Israel
Result
Areakm² · Higher wins ↑ · Chosen
89,342
21,937
Would win
Populationpeople · Higher wins ↑
11,439,213
9,849,000
Would win
Wealth per personint’l $ · Higher wins ↑
11,451
55,301
Would lose
Densityper km² · Higher wins ↑
128.0
449.0
Would lose
Highest peakm · Higher wins ↑
1,854
2,224
Would lose
Coastlinekm · Higher wins ↑
26
273
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Tajikistanvs
Malawi
Slovenia
Bosnia and Herzegovina
Luxembourg
Niger
Netherlands
Morocco
Togo
Bangladesh
Cuba
Kazakhstan
Nigeria
Moldova
Bolivia
Kenya
Malaysia
Vietnam
Suriname
Cambodia
Poland
New Zealand
Ireland
United Kingdom
Sweden
Slovakia
Mongolia
Azerbaijan
Russia
Libya
Italy
Yemen
Papua New Guinea
Liberia
Fiji
Bulgaria
Timor-Leste
Burkina Faso
Jordan
Israel