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Untimed expedition · Data edition 01051846d672
20Wins
2Losses
0Ties
Explore the final empire · 30 countries
No countries match your search.
The path through the world
One choice at a time.
22 rounds
Where it began · 12 countries
Guatemala · Djibouti · Maldives · Ireland · Republic of the Congo · Czechia · Germany · Eswatini · Zambia · Sri Lanka · Bolivia · Bhutan
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
GuatemalavsVanuatu
Area: 108,889 vs 12,189 km² · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 5 other winning choices
All eight categories for Guatemala against Vanuatu
Category
Guatemala
Vanuatu
Result
Areakm² · Higher wins ↑ · Chosen
108,889
12,189
Would win
PopulationBlocked in Hard · people · Higher wins ↑
18,124,838
320,409
Would win
Wealth per personint’l $ · Higher wins ↑
13,752
4,202
Would win
Densityper km² · Higher wins ↑
166.5
26.3
Would win
Highest peakm · Higher wins ↑
4,220
1,877
Would win
Coastlinekm · Higher wins ↑
400
2,528
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
15.4° S
Would win
2
Round 2Won14 countries · 4 lives left
DjiboutivsFinland
Density: 49.7 vs 16.5 per km² · Higher wins ↑
Conquered Finland.
Other category comparisons 2 other winning choices
All eight categories for Djibouti against Finland
Category
Djibouti
Finland
Result
Areakm² · Higher wins ↑
23,200
338,145
Would lose
Populationpeople · Higher wins ↑
1,152,944
5,583,911
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
63,467
Would lose
Densityper km² · Higher wins ↑ · Chosen
49.7
16.5
Would win
Highest peakm · Higher wins ↑
2,021
1,328
Would win
Coastlinekm · Higher wins ↑
314
1,250
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorBlocked in Hard · from the equator · Closer wins ↓
11.4° N
63.3° N
Would win
3
Round 3Won15 countries · 4 lives left
MaldivesvsBelgium
Density: 1,765.1 vs 385.9 per km² · Higher wins ↑
Conquered Belgium.
Other category comparisons 1 other winning choice
All eight categories for Maldives against Belgium
Category
Maldives
Belgium
Result
Areakm² · Higher wins ↑
298
30,528
Would lose
Populationpeople · Higher wins ↑
525,994
11,779,946
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
72,630
Would lose
Densityper km² · Higher wins ↑ · Chosen
1,765.1
385.9
Would win
Highest peakm · Higher wins ↑
5
694
Would lose
Coastlinekm · Higher wins ↑
644
66.5
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorBlocked in Hard · from the equator · Closer wins ↓
3.3° N
50.8° N
Would win
4
Round 4Won16 countries · 4 lives left
IrelandvsBurundi
Area: 70,273 vs 27,830 km² · Higher wins ↑
Conquered Burundi.
Other category comparisons 1 other winning choice
All eight categories for Ireland against Burundi
Category
Ireland
Burundi
Result
Areakm² · Higher wins ↑ · Chosen
70,273
27,830
Would win
Populationpeople · Higher wins ↑
5,311,538
13,689,450
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
133,440
1,147
Would win
Densityper km² · Higher wins ↑
75.6
491.9
Would lose
Highest peakm · Higher wins ↑
1,041
2,685
Would lose
Coastlinekm · Higher wins ↑
1,448
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
3.4° S
Would lose
5
Round 5Won17 countries · 4 lives left
Republic of the CongovsSomalia
Proximity to equator: 0.1° N vs 2.6° N from the equator · Closer wins ↓
Conquered Somalia.
Other category comparisons 1 other winning choice
All eight categories for Republic of the Congo against Somalia
Category
Republic of the Congo
Somalia
Result
Areakm² · Higher wins ↑
342,000
637,657
Would lose
Populationpeople · Higher wins ↑
6,182,885
18,358,615
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
6,856
1,557
Would win
Densityper km² · Higher wins ↑
18.1
28.8
Would lose
Highest peakm · Higher wins ↑
1,020
2,460
Would lose
Coastlinekm · Higher wins ↑
169
3,025
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.1° N
2.6° N
Would win
6
Round 6Won18 countries · 4 lives left
CzechiavsMalaysia
Density: 137.8 vs 106.5 per km² · Higher wins ↑
Conquered Malaysia.
Other category comparisons 0 other winning choices
All eight categories for Czechia against Malaysia
Category
Czechia
Malaysia
Result
Areakm² · Higher wins ↑
78,867
329,847
Would lose
Populationpeople · Higher wins ↑
10,864,042
35,126,298
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
56,062
36,497
Would win
Densityper km² · Higher wins ↑ · Chosen
137.8
106.5
Would win
Highest peakm · Higher wins ↑
1,602
4,095
Would lose
Coastlinekm · Higher wins ↑
0
4,675
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
4.4° N
Would lose
7
Round 7Won19 countries · 4 lives left
GermanyvsJordan
Population: 83,287,273 vs 11,439,213 people · Higher wins ↑
Conquered Jordan.
Other category comparisons 4 other winning choices
All eight categories for Germany against Jordan
Category
Germany
Jordan
Result
Areakm² · Higher wins ↑
357,022
89,342
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
11,439,213
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
11,451
Would win
Densityper km² · Higher wins ↑
233.3
128.0
Would win
Highest peakm · Higher wins ↑
2,963
1,854
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
2,389
26
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
30.7° N
Would lose
8
Round 8Won20 countries · 4 lives left
EswatinivsIceland
Proximity to equator: 26.6° S vs 64.7° N from the equator · Closer wins ↓
Conquered Iceland.
Other category comparisons 2 other winning choices
All eight categories for Eswatini against Iceland
Category
Eswatini
Iceland
Result
Areakm² · Higher wins ↑
17,364
103,000
Would lose
Populationpeople · Higher wins ↑
1,230,506
385,663
Would win
Wealth per personint’l $ · Higher wins ↑
11,309
82,257
Would lose
DensityBlocked in Hard · per km² · Higher wins ↑
70.9
3.7
Would win
Highest peakm · Higher wins ↑
1,862
2,110
Would lose
Coastlinekm · Higher wins ↑
0
4,970
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
26.6° S
64.7° N
Would win
9
Round 9Won21 countries · 4 lives left
ZambiavsEstonia
Population: 20,723,965 vs 1,370,286 people · Higher wins ↑
Conquered Estonia.
Other category comparisons 3 other winning choices
All eight categories for Zambia against Estonia
Category
Zambia
Estonia
Result
AreaBlocked in Hard · km² · Higher wins ↑
752,618
45,228
Would win
Populationpeople · Higher wins ↑ · Chosen
20,723,965
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
4,080
48,848
Would lose
Densityper km² · Higher wins ↑
27.5
30.3
Would lose
Highest peakm · Higher wins ↑
2,330
318
Would win
Coastlinekm · Higher wins ↑
0
3,794
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.7° S
58.6° N
Would win
10
Round 10Won22 countries · 4 lives left
Sri LankavsLebanon
Proximity to equator: 7.1° N vs 34.2° N from the equator · Closer wins ↓
Conquered Lebanon.
Other category comparisons 4 other winning choices
All eight categories for Sri Lanka against Lebanon
Category
Sri Lanka
Lebanon
Result
Areakm² · Higher wins ↑
65,610
10,400
Would win
Populationpeople · Higher wins ↑
22,037,000
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
14,512
12,585
Would win
Densityper km² · Higher wins ↑
335.9
555.1
Would lose
Highest peakm · Higher wins ↑
2,524
3,088
Would lose
CoastlineBlocked in Hard · km · Higher wins ↑
1,340
225
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.1° N
34.2° N
Would win
11
Round 11Won23 countries · 4 lives left
BoliviavsChina
Proximity to equator: 16.7° S vs 32.5° N from the equator · Closer wins ↓
Conquered China.
Other category comparisons 0 other winning choices
All eight categories for Bolivia against China
Category
Bolivia
China
Result
Areakm² · Higher wins ↑
1,098,581
9,596,960
Would lose
Populationpeople · Higher wins ↑
12,244,159
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑
12,903
25,200
Would lose
Densityper km² · Higher wins ↑
11.1
147.0
Would lose
Highest peakm · Higher wins ↑
6,542
8,849
Would lose
Coastlinekm · Higher wins ↑
0
14,500
Would lose
Flag coloursBlocked in Hard · colours · Higher wins ↑
9
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
16.7° S
32.5° N
Would win
12
Round 12Won24 countries · 4 lives left
BhutanvsDenmark
Proximity to equator: 27.5° N vs 55.9° N from the equator · Closer wins ↓
Conquered Denmark.
Other category comparisons 1 other winning choice
All eight categories for Bhutan against Denmark
Category
Bhutan
Denmark
Result
Areakm² · Higher wins ↑
38,394
43,094
Would lose
Populationpeople · Higher wins ↑
786,385
5,946,952
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
77,425
Would lose
Densityper km² · Higher wins ↑
20.5
138.0
Would lose
Highest peakBlocked in Hard · m · Higher wins ↑
7,570
171
Would win
Coastlinekm · Higher wins ↑
0
7,314
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
27.5° N
55.9° N
Would win
13
Round 13Won25 countries · 4 lives left
GuatemalavsGuinea-Bissau
Coastline: 400 vs 350 km · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 5 other winning choices
All eight categories for Guatemala against Guinea-Bissau
Category
Guatemala
Guinea-Bissau
Result
Areakm² · Higher wins ↑
108,889
36,125
Would win
PopulationBlocked in Hard · people · Higher wins ↑
18,124,838
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
13,752
2,956
Would win
Densityper km² · Higher wins ↑
166.5
59.6
Would win
Highest peakm · Higher wins ↑
4,220
277
Would win
Coastlinekm · Higher wins ↑ · Chosen
400
350
Would win
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
12.1° N
Would lose
14
Round 14Won26 countries · 4 lives left
VanuatuvsAustralia
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Australia.
Other category comparisons 1 other winning choice
All eight categories for Vanuatu against Australia
Category
Vanuatu
Australia
Result
Areakm² · Higher wins ↑
12,189
7,741,220
Would lose
Populationpeople · Higher wins ↑
320,409
26,659,922
Would lose
Wealth per personint’l $ · Higher wins ↑
4,202
72,273
Would lose
DensityBlocked in Hard · per km² · Higher wins ↑
26.3
3.4
Would win
Highest peakm · Higher wins ↑
1,877
2,228
Would lose
Coastlinekm · Higher wins ↑
2,528
25,760
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.4° S
23.1° S
Would win
15
Round 15Won27 countries · 4 lives left
DjiboutivsCentral African Republic
Density: 49.7 vs 8.3 per km² · Higher wins ↑
Conquered Central African Republic.
Other category comparisons 2 other winning choices
All eight categories for Djibouti against Central African Republic
Category
Djibouti
Central African Republic
Result
Areakm² · Higher wins ↑
23,200
622,984
Would lose
Populationpeople · Higher wins ↑
1,152,944
5,152,421
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
1,258
Would win
Densityper km² · Higher wins ↑ · Chosen
49.7
8.3
Would win
Highest peakm · Higher wins ↑
2,021
1,410
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
314
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
11.4° N
7.0° N
Would lose
16
Round 16Won28 countries · 4 lives left
FinlandvsAfghanistan
Coastline: 1,250 vs 0 km · Higher wins ↑
Conquered Afghanistan.
Other category comparisons 0 other winning choices
All eight categories for Finland against Afghanistan
Category
Finland
Afghanistan
Result
Areakm² · Higher wins ↑
338,145
652,230
Would lose
Populationpeople · Higher wins ↑
5,583,911
41,454,761
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
63,467
2,204
Would win
Densityper km² · Higher wins ↑
16.5
63.6
Would lose
Highest peakm · Higher wins ↑
1,328
7,492
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,250
0
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
34.3° N
Would lose
17
Round 17Won29 countries · 4 lives left
MaldivesvsMontenegro
Proximity to equator: 3.3° N vs 42.8° N from the equator · Closer wins ↓
Conquered Montenegro.
Other category comparisons 1 other winning choice
All eight categories for Maldives against Montenegro
Category
Maldives
Montenegro
Result
Areakm² · Higher wins ↑
298
13,812
Would lose
Populationpeople · Higher wins ↑
525,994
623,529
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
31,863
Would lose
DensityBlocked in Hard · per km² · Higher wins ↑
1,765.1
45.1
Would win
Highest peakm · Higher wins ↑
5
2,534
Would lose
Coastlinekm · Higher wins ↑
644
293.5
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.3° N
42.8° N
Would win
18
Round 18Won30 countries · 4 lives left
BelgiumvsBurkina Faso
Coastline: 66.5 vs 0 km · Higher wins ↑
Conquered Burkina Faso.
Other category comparisons 1 other winning choice
All eight categories for Belgium against Burkina Faso
Category
Belgium
Burkina Faso
Result
Areakm² · Higher wins ↑
30,528
274,200
Would lose
Populationpeople · Higher wins ↑
11,779,946
23,025,776
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
72,630
2,762
Would win
Densityper km² · Higher wins ↑
385.9
84.0
Would win
Highest peakm · Higher wins ↑
694
749
Would lose
Coastlinekm · Higher wins ↑ · Chosen
66.5
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
50.8° N
12.8° N
Would lose
19
Round 19Won31 countries · 4 lives left
IrelandvsMyanmar
Wealth per person: 133,440 vs 5,958 int’l $ · Higher wins ↑
Conquered Myanmar.
Other category comparisons 0 other winning choices
All eight categories for Ireland against Myanmar
Category
Ireland
Myanmar
Result
Areakm² · Higher wins ↑
70,273
676,578
Would lose
Populationpeople · Higher wins ↑
5,311,538
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
133,440
5,958
Would win
Densityper km² · Higher wins ↑
75.6
80.0
Would lose
Highest peakm · Higher wins ↑
1,041
5,870
Would lose
Coastlinekm · Higher wins ↑
1,448
1,930
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
21.6° N
Would lose
20
Round 20Won32 countries · 4 lives left
BurundivsCyprus
Density: 491.9 vs 145.4 per km² · Higher wins ↑
Conquered Cyprus.
Other category comparisons 3 other winning choices
All eight categories for Burundi against Cyprus
Category
Burundi
Cyprus
Result
Areakm² · Higher wins ↑
27,830
9,251
Would win
PopulationBlocked in Hard · people · Higher wins ↑
13,689,450
1,344,976
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
59,875
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
145.4
Would win
Highest peakm · Higher wins ↑
2,685
1,951
Would win
Coastlinekm · Higher wins ↑
0
648
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Guatemalavs
Vanuatu
Djibouti
Finland
Maldives
Belgium
Ireland
Burundi
Republic of the Congo
Somalia
Czechia
Malaysia
Germany
Jordan
Eswatini
Iceland
Zambia
Estonia
Sri Lanka
Lebanon
Bolivia
China
Bhutan
Denmark
Guinea-Bissau
Australia
Central African Republic
Afghanistan
Montenegro
Burkina Faso
Myanmar
Cyprus