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Untimed expedition · Data edition 01051846d672
27Wins
1Losses
0Ties
Explore the final empire · 38 countries
No countries match your search.
The path through the world
One choice at a time.
28 rounds
Where it began · 12 countries
Tanzania · Turkmenistan · North Macedonia · Kazakhstan · Lebanon · Chile · Saudi Arabia · Bhutan · Vietnam · Nicaragua · Malaysia · 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
TanzaniavsHungary
Population: 66,617,606 vs 9,592,186 people · Higher wins ↑
Conquered Hungary.
Other category comparisons 5 other winning choices
All eight categories for Tanzania against Hungary
Category
Tanzania
Hungary
Result
Areakm² · Higher wins ↑
947,300
93,028
Would win
Populationpeople · Higher wins ↑ · Chosen
66,617,606
9,592,186
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
46,376
Would lose
Densityper km² · Higher wins ↑
70.3
103.1
Would lose
Highest peakm · Higher wins ↑
5,895
1,014
Would win
Coastlinekm · Higher wins ↑
1,424
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
47.3° N
Would win
2
Round 2Won14 countries · 4 lives left
TurkmenistanvsCyprus
Highest peak: 3,139 vs 1,951 m · Higher wins ↑
Conquered Cyprus.
Other category comparisons 3 other winning choices
All eight categories for Turkmenistan against Cyprus
Category
Turkmenistan
Cyprus
Result
Areakm² · Higher wins ↑
488,100
9,251
Would win
Populationpeople · Higher wins ↑
7,364,438
1,344,976
Would win
Wealth per personint’l $ · Higher wins ↑
19,645
59,875
Would lose
Densityper km² · Higher wins ↑
15.1
145.4
Would lose
Highest peakm · Higher wins ↑ · Chosen
3,139
1,951
Would win
Coastlinekm · Higher wins ↑
0
648
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
34.9° N
Would lose
3
Round 3Won15 countries · 4 lives left
North MacedoniavsBangladesh
Wealth per person: 25,354 vs 9,155 int’l $ · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 1 other winning choice
All eight categories for North Macedonia against Bangladesh
Category
North Macedonia
Bangladesh
Result
Areakm² · Higher wins ↑
25,713
148,460
Would lose
Populationpeople · Higher wins ↑
1,827,816
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,354
9,155
Would win
Densityper km² · Higher wins ↑
71.1
1,155.0
Would lose
Highest peakm · Higher wins ↑
2,764
1,060
Would win
Coastlinekm · Higher wins ↑
0
580
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
24.3° N
Would lose
4
Round 4Won16 countries · 4 lives left
KazakhstanvsPhilippines
Highest peak: 7,010 vs 2,954 m · Higher wins ↑
Conquered Philippines.
Other category comparisons 2 other winning choices
All eight categories for Kazakhstan against Philippines
Category
Kazakhstan
Philippines
Result
Areakm² · Higher wins ↑
2,724,900
300,000
Would win
Populationpeople · Higher wins ↑
20,330,104
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑
38,547
10,995
Would win
Densityper km² · Higher wins ↑
7.5
383.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,010
2,954
Would win
Coastlinekm · Higher wins ↑
0
36,289
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
48.5° N
17.0° N
Would lose
5
Round 5Won17 countries · 4 lives left
LebanonvsEquatorial Guinea
Density: 555.1 vs 65.9 per km² · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 2 other winning choices
All eight categories for Lebanon against Equatorial Guinea
Category
Lebanon
Equatorial Guinea
Result
Areakm² · Higher wins ↑
10,400
28,051
Would lose
Populationpeople · Higher wins ↑
5,773,493
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑
12,585
16,997
Would lose
Densityper km² · Higher wins ↑ · Chosen
555.1
65.9
Would win
Highest peakm · Higher wins ↑
3,088
3,008
Would win
Coastlinekm · Higher wins ↑
225
296
Would lose
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
1.6° N
Would lose
6
Round 6Won18 countries · 4 lives left
ChilevsPortugal
Coastline: 6,435 vs 1,793 km · Higher wins ↑
Conquered Portugal.
Other category comparisons 4 other winning choices
All eight categories for Chile against Portugal
Category
Chile
Portugal
Result
Areakm² · Higher wins ↑
756,102
92,090
Would win
Populationpeople · Higher wins ↑
19,658,835
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
33,174
49,800
Would lose
Densityper km² · Higher wins ↑
26.0
114.9
Would lose
Highest peakm · Higher wins ↑
6,893
2,351
Would win
Coastlinekm · Higher wins ↑ · Chosen
6,435
1,793
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
40.7° N
Would win
7
Round 7Won19 countries · 4 lives left
Saudi ArabiavsZambia
Population: 33,702,731 vs 20,723,965 people · Higher wins ↑
Conquered Zambia.
Other category comparisons 4 other winning choices
All eight categories for Saudi Arabia against Zambia
Category
Saudi Arabia
Zambia
Result
Areakm² · Higher wins ↑
2,149,690
752,618
Would win
Populationpeople · Higher wins ↑ · Chosen
33,702,731
20,723,965
Would win
Wealth per personint’l $ · Higher wins ↑
71,624
4,080
Would win
Densityper km² · Higher wins ↑
15.7
27.5
Would lose
Highest peakm · Higher wins ↑
3,000
2,330
Would win
Coastlinekm · Higher wins ↑
2,640
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
14.7° S
Would lose
8
Round 8Won20 countries · 4 lives left
BhutanvsPapua New Guinea
Highest peak: 7,570 vs 4,509 m · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 1 other winning choice
All eight categories for Bhutan against Papua New Guinea
Category
Bhutan
Papua New Guinea
Result
Areakm² · Higher wins ↑
38,394
462,840
Would lose
Populationpeople · Higher wins ↑
786,385
10,389,635
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
4,672
Would win
Densityper km² · Higher wins ↑
20.5
22.4
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
4,509
Would win
Coastlinekm · Higher wins ↑
0
5,152
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
5.5° S
Would lose
9
Round 9Won21 countries · 4 lives left
VietnamvsThailand
Population: 100,352,192 vs 71,702,435 people · Higher wins ↑
Conquered Thailand.
Other category comparisons 3 other winning choices
All eight categories for Vietnam against Thailand
Category
Vietnam
Thailand
Result
Areakm² · Higher wins ↑
331,210
513,120
Would lose
Populationpeople · Higher wins ↑ · Chosen
100,352,192
71,702,435
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
23,598
Would lose
Densityper km² · Higher wins ↑
303.0
139.7
Would win
Highest peakm · Higher wins ↑
3,144
2,565
Would win
Coastlinekm · Higher wins ↑
3,444
3,219
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
15.5° N
Would lose
10
Round 10Won22 countries · 4 lives left
NicaraguavsBahamas
Area: 130,370 vs 13,880 km² · Higher wins ↑
Conquered Bahamas.
Other category comparisons 5 other winning choices
All eight categories for Nicaragua against Bahamas
Category
Nicaragua
Bahamas
Result
Areakm² · Higher wins ↑ · Chosen
130,370
13,880
Would win
Populationpeople · Higher wins ↑
6,823,613
399,440
Would win
Wealth per personint’l $ · Higher wins ↑
8,327
39,122
Would lose
Densityper km² · Higher wins ↑
52.3
28.8
Would win
Highest peakm · Higher wins ↑
2,085
64
Would win
Coastlinekm · Higher wins ↑
910
3,542
Would lose
Flag colourscolours · Higher wins ↑
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
24.7° N
Would win
11
Round 11Won23 countries · 4 lives left
MalaysiavsDjibouti
Population: 35,126,298 vs 1,152,944 people · Higher wins ↑
Conquered Djibouti.
Other category comparisons 6 other winning choices
All eight categories for Malaysia against Djibouti
Category
Malaysia
Djibouti
Result
Areakm² · Higher wins ↑
329,847
23,200
Would win
Populationpeople · Higher wins ↑ · Chosen
35,126,298
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
7,232
Would win
Densityper km² · Higher wins ↑
106.5
49.7
Would win
Highest peakm · Higher wins ↑
4,095
2,021
Would win
Coastlinekm · Higher wins ↑
4,675
314
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
11.4° N
Would win
12
Round 12Won24 countries · 4 lives left
RussiavsLiberia
Area: 17,098,242 vs 111,369 km² · Higher wins ↑
Conquered Liberia.
Other category comparisons 4 other winning choices
All eight categories for Russia against Liberia
Category
Russia
Liberia
Result
Areakm² · Higher wins ↑ · Chosen
17,098,242
111,369
Would win
Populationpeople · Higher wins ↑
143,826,130
5,493,031
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
1,796
Would win
Densityper km² · Higher wins ↑
8.4
49.3
Would lose
Highest peakm · Higher wins ↑
5,642
1,447
Would win
Coastlinekm · Higher wins ↑
37,653
579
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
7.0° N
Would lose
13
Round 13Won25 countries · 4 lives left
TanzaniavsMauritius
Population: 66,617,606 vs 1,248,647 people · Higher wins ↑
Conquered Mauritius.
Other category comparisons 4 other winning choices
All eight categories for Tanzania against Mauritius
Category
Tanzania
Mauritius
Result
Areakm² · Higher wins ↑
947,300
2,040
Would win
Populationpeople · Higher wins ↑ · Chosen
66,617,606
1,248,647
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
29,403
Would lose
Densityper km² · Higher wins ↑
70.3
612.1
Would lose
Highest peakm · Higher wins ↑
5,895
828
Would win
Coastlinekm · Higher wins ↑
1,424
177
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
20.3° S
Would win
14
Round 14Won26 countries · 4 lives left
HungaryvsBelarus
Wealth per person: 46,376 vs 30,860 int’l $ · Higher wins ↑
Conquered Belarus.
Other category comparisons 4 other winning choices
All eight categories for Hungary against Belarus
Category
Hungary
Belarus
Result
Areakm² · Higher wins ↑
93,028
207,600
Would lose
Populationpeople · Higher wins ↑
9,592,186
9,178,298
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
46,376
30,860
Would win
Densityper km² · Higher wins ↑
103.1
44.2
Would win
Highest peakm · Higher wins ↑
1,014
346
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
47.3° N
53.8° N
Would win
15
Round 15Won27 countries · 4 lives left
TurkmenistanvsJordan
Highest peak: 3,139 vs 1,854 m · Higher wins ↑
Conquered Jordan.
Other category comparisons 3 other winning choices
All eight categories for Turkmenistan against Jordan
Category
Turkmenistan
Jordan
Result
Areakm² · Higher wins ↑
488,100
89,342
Would win
Populationpeople · Higher wins ↑
7,364,438
11,439,213
Would lose
Wealth per personint’l $ · Higher wins ↑
19,645
11,451
Would win
Densityper km² · Higher wins ↑
15.1
128.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
3,139
1,854
Would win
Coastlinekm · Higher wins ↑
0
26
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
30.7° N
Would lose
16
Round 16Won28 countries · 4 lives left
CyprusvsTunisia
Wealth per person: 59,875 vs 14,052 int’l $ · Higher wins ↑
Conquered Tunisia.
Other category comparisons 4 other winning choices
All eight categories for Cyprus against Tunisia
Category
Cyprus
Tunisia
Result
Areakm² · Higher wins ↑
9,251
163,610
Would lose
Populationpeople · Higher wins ↑
1,344,976
12,200,431
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
59,875
14,052
Would win
Densityper km² · Higher wins ↑
145.4
74.6
Would win
Highest peakm · Higher wins ↑
1,951
1,544
Would win
Coastlinekm · Higher wins ↑
648
1,148
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
35.3° N
Would win
17
Round 17Won29 countries · 4 lives left
North MacedoniavsKuwait
Highest peak: 2,764 vs 300 m · Higher wins ↑
Conquered Kuwait.
Other category comparisons 1 other winning choice
All eight categories for North Macedonia against Kuwait
Category
North Macedonia
Kuwait
Result
Areakm² · Higher wins ↑
25,713
17,818
Would win
Populationpeople · Higher wins ↑
1,827,816
4,853,420
Would lose
Wealth per personint’l $ · Higher wins ↑
25,354
53,083
Would lose
Densityper km² · Higher wins ↑
71.1
272.4
Would lose
Highest peakm · Higher wins ↑ · Chosen
2,764
300
Would win
Coastlinekm · Higher wins ↑
0
499
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
29.4° N
Would lose
18
Round 18Won30 countries · 4 lives left
BangladeshvsNew Zealand
Population: 171,466,990 vs 5,200,000 people · Higher wins ↑
Conquered New Zealand.
Other category comparisons 2 other winning choices
All eight categories for Bangladesh against New Zealand
Category
Bangladesh
New Zealand
Result
Areakm² · Higher wins ↑
148,460
268,838
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
5,200,000
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
54,950
Would lose
Densityper km² · Higher wins ↑
1,155.0
19.3
Would win
Highest peakm · Higher wins ↑
1,060
3,724
Would lose
Coastlinekm · Higher wins ↑
580
15,134
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
45.3° S
Would win
19
Round 19Won31 countries · 4 lives left
KazakhstanvsComoros
Highest peak: 7,010 vs 2,360 m · Higher wins ↑
Conquered Comoros.
Other category comparisons 3 other winning choices
All eight categories for Kazakhstan against Comoros
Category
Kazakhstan
Comoros
Result
Areakm² · Higher wins ↑
2,724,900
2,235
Would win
Populationpeople · Higher wins ↑
20,330,104
850,387
Would win
Wealth per personint’l $ · Higher wins ↑
38,547
3,897
Would win
Densityper km² · Higher wins ↑
7.5
380.5
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,010
2,360
Would win
Coastlinekm · Higher wins ↑
0
340
Would lose
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
48.5° N
11.7° S
Would lose
20
Round 20Won32 countries · 4 lives left
PhilippinesvsCentral African Republic
Population: 114,891,199 vs 5,152,421 people · Higher wins ↑
Conquered Central African Republic.
Other category comparisons 4 other winning choices
All eight categories for Philippines against Central African Republic
Category
Philippines
Central African Republic
Result
Areakm² · Higher wins ↑
300,000
622,984
Would lose
Populationpeople · Higher wins ↑ · Chosen
114,891,199
5,152,421
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
1,258
Would win
Densityper km² · Higher wins ↑
383.0
8.3
Would win
Highest peakm · Higher wins ↑
2,954
1,410
Would win
Coastlinekm · Higher wins ↑
36,289
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓