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Untimed expedition · Data edition 01051846d672
80Wins
4Losses
3Ties
Explore the final empire · 91 countries
No countries match your search.
The path through the world
One choice at a time.
87 rounds
Where it began · 12 countries
Niger · Slovakia · Spain · South Sudan · Lesotho · Tunisia · Iraq · Morocco · Panama · Albania · Guatemala · Russia
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
1
Round 1Won13 countries · 4 lives left
NigervsItaly
Proximity to equator: 17.6° N vs 45.1° N from the equator · Closer wins ↓
Conquered Italy.
Other category comparisons 0 other winning choices
All eight categories for Niger against Italy
Category
Niger
Italy
Result
AreaBlocked in Hard · km² · Higher wins ↑
1,267,000
301,340
Would win
Populationpeople · Higher wins ↑
26,159,867
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
1,903
60,350
Would lose
Densityper km² · Higher wins ↑
20.6
195.7
Would lose
Highest peakm · Higher wins ↑
2,022
4,748
Would lose
Coastlinekm · Higher wins ↑
0
7,600
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
17.6° N
45.1° N
Would win
2
Round 2Won14 countries · 4 lives left
SlovakiavsMoldova
Wealth per person: 45,865 vs 17,751 int’l $ · Higher wins ↑
Conquered Moldova.
Other category comparisons 3 other winning choices
All eight categories for Slovakia against Moldova
Category
Slovakia
Moldova
Result
Areakm² · Higher wins ↑
49,035
33,851
Would win
Populationpeople · Higher wins ↑
5,426,740
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
45,865
17,751
Would win
Densityper km² · Higher wins ↑
110.7
72.6
Would win
Highest peakBlocked in Hard · m · Higher wins ↑
2,655
430
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
48.7° N
47.5° N
Would lose
3
Round 3Won15 countries · 4 lives left
SpainvsMalta
Population: 48,352,528 vs 552,747 people · Higher wins ↑
Conquered Malta.
Other category comparisons 3 other winning choices
All eight categories for Spain against Malta
Category
Spain
Malta
Result
AreaBlocked in Hard · km² · Higher wins ↑
505,370
316
Would win
Populationpeople · Higher wins ↑ · Chosen
48,352,528
552,747
Would win
Wealth per personint’l $ · Higher wins ↑
55,661
67,101
Would lose
Densityper km² · Higher wins ↑
95.7
1,749.2
Would lose
Highest peakm · Higher wins ↑
3,718
253
Would win
Coastlinekm · Higher wins ↑
4,964
196.8
Would win
Flag colourscolours · Higher wins ↑
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
35.9° N
Would lose
4
Round 4Won16 countries · 4 lives left
South SudanvsLuxembourg
Proximity to equator: 7.1° N vs 49.7° N from the equator · Closer wins ↓
Conquered Luxembourg.
Other category comparisons 3 other winning choices
All eight categories for South Sudan against Luxembourg
Category
South Sudan
Luxembourg
Result
AreaBlocked in Hard · km² · Higher wins ↑
644,329
2,586
Would win
Populationpeople · Higher wins ↑
11,483,374
666,430
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
152,596
Unavailable
Densityper km² · Higher wins ↑
17.8
257.7
Would lose
Highest peakm · Higher wins ↑
3,187
559
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.1° N
49.7° N
Would win
5
Round 5Tied16 countries · 4 lives left
LesothovsSudan
Flag colours: 4 vs 4 colours · Higher wins ↑
Sudan became contested.
Other category comparisons 2 other winning choices
All eight categories for Lesotho against Sudan
Category
Lesotho
Sudan
Result
Areakm² · Higher wins ↑
30,355
1,861,484
Would lose
Populationpeople · Higher wins ↑
2,311,472
50,042,791
Would lose
Wealth per personint’l $ · Higher wins ↑
2,880
2,423
Would win
DensityBlocked in Hard · per km² · Higher wins ↑
76.1
26.9
Would win
Highest peakm · Higher wins ↑
3,482
3,042
Would win
Coastlinekm · Higher wins ↑
0
853
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
29.4° S
16.6° N
Would lose
6
Round 6Won18 countries · 4 lives left
TunisiavsLibya
Wealth per person: 14,052 vs 13,858 int’l $ · Higher wins ↑
Conquered Libya, Sudan.
Other category comparisons 1 other winning choice
All eight categories for Tunisia against Libya
Category
Tunisia
Libya
Result
Areakm² · Higher wins ↑
163,610
1,759,540
Would lose
Populationpeople · Higher wins ↑
12,200,431
7,305,659
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
14,052
13,858
Would win
DensityBlocked in Hard · per km² · Higher wins ↑
74.6
4.2
Would win
Highest peakm · Higher wins ↑
1,544
2,267
Would lose
Coastlinekm · Higher wins ↑
1,148
1,770
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.3° N
26.1° N
Would lose
7
Round 7Tied18 countries · 4 lives left
IraqvsTanzania
Flag colours: 4 vs 4 colours · Higher wins ↑
Tanzania became contested.
Other category comparisons 1 other winning choice
All eight categories for Iraq against Tanzania
Category
Iraq
Tanzania
Result
Areakm² · Higher wins ↑
438,317
947,300
Would lose
Populationpeople · Higher wins ↑
45,074,049
66,617,606
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
14,665
4,022
Would win
Densityper km² · Higher wins ↑
102.8
70.3
Would win
Highest peakm · Higher wins ↑
3,611
5,895
Would lose
Coastlinekm · Higher wins ↑
58
1,424
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
5.5° S
Would lose
8
Round 8Won20 countries · 4 lives left
MoroccovsEstonia
Area: 446,550 vs 45,228 km² · Higher wins ↑
Conquered Estonia, Tanzania.
Other category comparisons 3 other winning choices
All eight categories for Morocco against Estonia
Category
Morocco
Estonia
Result
Areakm² · Higher wins ↑ · Chosen
446,550
45,228
Would win
PopulationBlocked in Hard · people · Higher wins ↑
37,712,505
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
48,848
Would lose
Densityper km² · Higher wins ↑
84.5
30.3
Would win
Highest peakm · Higher wins ↑
4,165
318
Would win
Coastlinekm · Higher wins ↑
1,835
3,794
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
58.6° N
Would win
9
Round 9Won21 countries · 4 lives left
PanamavsDenmark
Proximity to equator: 8.4° N vs 55.9° N from the equator · Closer wins ↓
Conquered Denmark.
Other category comparisons 2 other winning choices
All eight categories for Panama against Denmark
Category
Panama
Denmark
Result
Areakm² · Higher wins ↑
75,420
43,094
Would win
Populationpeople · Higher wins ↑
4,458,759
5,946,952
Would lose
Wealth per personint’l $ · Higher wins ↑
39,846
77,425
Would lose
Densityper km² · Higher wins ↑
59.1
138.0
Would lose
Highest peakBlocked in Hard · m · Higher wins ↑
3,475
171
Would win
Coastlinekm · Higher wins ↑
2,490
7,314
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.4° N
55.9° N
Would win
10
Round 10Won22 countries · 4 lives left
AlbaniavsCanada
Proximity to equator: 40.7° N vs 58.8° N from the equator · Closer wins ↓
Conquered Canada.
Other category comparisons 0 other winning choices
All eight categories for Albania against Canada
Category
Albania
Canada
Result
Areakm² · Higher wins ↑
28,748
9,984,670
Would lose
Populationpeople · Higher wins ↑
2,411,658
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
24,848
64,962
Would lose
DensityBlocked in Hard · per km² · Higher wins ↑
83.9
4.0
Would win
Highest peakm · Higher wins ↑
2,764
5,959
Would lose
Coastlinekm · Higher wins ↑
362
202,080
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
40.7° N
58.8° N
Would win
11
Round 11Won23 countries · 4 lives left
GuatemalavsSlovenia
Area: 108,889 vs 20,273 km² · Higher wins ↑
Conquered Slovenia.
Other category comparisons 5 other winning choices
All eight categories for Guatemala against Slovenia
Category
Guatemala
Slovenia
Result
Areakm² · Higher wins ↑ · Chosen
108,889
20,273
Would win
PopulationBlocked in Hard · people · Higher wins ↑
18,124,838
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
13,752
56,151
Would lose
Densityper km² · Higher wins ↑
166.5
104.6
Would win
Highest peakm · Higher wins ↑
4,220
2,864
Would win
Coastlinekm · Higher wins ↑
400
46.6
Would win
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
46.0° N
Would win
12
Round 12Won24 countries · 4 lives left
RussiavsMalaysia
Population: 143,826,130 vs 35,126,298 people · Higher wins ↑
Conquered Malaysia.
Other category comparisons 3 other winning choices
All eight categories for Russia against Malaysia
Category
Russia
Malaysia
Result
AreaBlocked in Hard · km² · Higher wins ↑
17,098,242
329,847
Would win
Populationpeople · Higher wins ↑ · Chosen
143,826,130
35,126,298
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
36,497
Would win
Densityper km² · Higher wins ↑
8.4
106.5
Would lose
Highest peakm · Higher wins ↑
5,642
4,095
Would win
Coastlinekm · Higher wins ↑
37,653
4,675
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
4.4° N
Would lose
13
Round 13Won25 countries · 4 lives left
NigervsCzechia
Proximity to equator: 17.6° N vs 49.8° N from the equator · Closer wins ↓
Conquered Czechia.
Other category comparisons 2 other winning choices
All eight categories for Niger against Czechia
Category
Niger
Czechia
Result
AreaBlocked in Hard · km² · Higher wins ↑
1,267,000
78,867
Would win
Populationpeople · Higher wins ↑
26,159,867
10,864,042
Would win
Wealth per personint’l $ · Higher wins ↑
1,903
56,062
Would lose
Densityper km² · Higher wins ↑
20.6
137.8
Would lose
Highest peakm · Higher wins ↑
2,022
1,602
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
17.6° N
49.8° N
Would win
14
Round 14Won26 countries · 4 lives left
ItalyvsRepublic of the Congo
Wealth per person: 60,350 vs 6,856 int’l $ · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 3 other winning choices
All eight categories for Italy against Republic of the Congo
Category
Italy
Republic of the Congo
Result
Areakm² · Higher wins ↑
301,340
342,000
Would lose
Populationpeople · Higher wins ↑
58,984,216
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,350
6,856
Would win
Densityper km² · Higher wins ↑
195.7
18.1
Would win
Highest peakm · Higher wins ↑
4,748
1,020
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
7,600
169
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
0.1° N
Would lose
15
Round 15Won27 countries · 4 lives left
SlovakiavsGambia
Area: 49,035 vs 11,300 km² · Higher wins ↑
Conquered Gambia.
Other category comparisons 2 other winning choices
All eight categories for Slovakia against Gambia
Category
Slovakia
Gambia
Result
Areakm² · Higher wins ↑ · Chosen
49,035
11,300
Would win
Populationpeople · Higher wins ↑
5,426,740
2,697,845
Would win
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
45,865
3,292
Would win
Densityper km² · Higher wins ↑
110.7
238.7
Would lose
Highest peakm · Higher wins ↑
2,655
63
Would win
Coastlinekm · Higher wins ↑
0
80
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
48.7° N
13.6° N
Would lose
16
Round 16Won28 countries · 4 lives left
MoldovavsChad
Flag colours: 9 vs 3 colours · Higher wins ↑
Conquered Chad.
Other category comparisons 1 other winning choice
All eight categories for Moldova against Chad
Category
Moldova
Chad
Result
Areakm² · Higher wins ↑
33,851
1,284,000
Would lose
Populationpeople · Higher wins ↑
2,457,783
19,319,064
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
17,751
2,703
Would win
Densityper km² · Higher wins ↑
72.6
15.0
Would win
Highest peakm · Higher wins ↑
430
3,445
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑ · Chosen
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
17.3° N
Would lose
17
Round 17Won29 countries · 4 lives left
SpainvsColombia
Flag colours: 10 vs 3 colours · Higher wins ↑
Conquered Colombia.
Other category comparisons 2 other winning choices
All eight categories for Spain against Colombia
Category
Spain
Colombia
Result
Areakm² · Higher wins ↑
505,370
1,138,910
Would lose
Populationpeople · Higher wins ↑
48,352,528
52,321,152
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
55,661
21,282
Would win
Densityper km² · Higher wins ↑
95.7
45.9
Would win
Highest peakm · Higher wins ↑
3,718
5,730
Would lose
Coastlinekm · Higher wins ↑
4,964
3,208
Would win
Flag colourscolours · Higher wins ↑ · Chosen
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
3.4° N
Would lose
18
Round 18Lost28 countries · 3 lives left
MaltavsComoros
Flag colours: 3 vs 5 colours · Higher wins ↑
Returned to the world: Malta.
Other category comparisons 1 other winning choice
All eight categories for Malta against Comoros
Category
Malta
Comoros
Result
Areakm² · Higher wins ↑
316
2,235
Would lose
Populationpeople · Higher wins ↑
552,747
850,387
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
67,101
3,897
Would win
Densityper km² · Higher wins ↑
1,749.2
380.5
Would win
Highest peakm · Higher wins ↑
253
2,360
Would lose
Coastlinekm · Higher wins ↑
196.8
340
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
11.7° S
Would lose
19
Round 19Won29 countries · 3 lives left
South SudanvsNepal
Proximity to equator: 7.1° N vs 29.0° N from the equator · Closer wins ↓
Conquered Nepal.
Other category comparisons 1 other winning choice
All eight categories for South Sudan against Nepal
Category
South Sudan
Nepal
Result
AreaBlocked in Hard · km² · Higher wins ↑
644,329
147,181
Would win
Populationpeople · Higher wins ↑
11,483,374
29,694,614
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
5,400
Unavailable
Densityper km² · Higher wins ↑
17.8
201.8
Would lose
Highest peakm · Higher wins ↑
3,187
8,849
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.1° N
29.0° N
Would win
20
Round 20Won30 countries · 3 lives left
LuxembourgvsHaiti
Wealth per person: 152,596 vs 3,265 int’l $ · Higher wins ↑
Conquered Haiti.
Other category comparisons 0 other winning choices
All eight categories for Luxembourg against Haiti
Category
Luxembourg
Haiti
Result
Areakm² · Higher wins ↑
2,586
27,750
Would lose
Populationpeople · Higher wins ↑
666,430
11,637,398
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
3,265
Would win
Densityper km² · Higher wins ↑
257.7
419.4
Would lose
Highest peakm · Higher wins ↑
559
2,674
Would lose
Coastlinekm · Higher wins ↑
0
1,771
Would lose
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Nigervs
Italy
Slovakia
Moldova
Spain
Malta
South Sudan
Luxembourg
Lesotho
Sudan
Tunisia
Libya
Iraq
Tanzania
Morocco
Estonia
Panama
Denmark
Albania
Canada
Guatemala
Slovenia
Russia
Malaysia
Czechia
Republic of the Congo
Gambia
Chad
Colombia
Comoros
Nepal
Haiti