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Untimed expedition · Data edition 01051846d672
33Wins
1Losses
0Ties
Explore the final empire · 44 countries
No countries match your search.
The path through the world
One choice at a time.
34 rounds
Where it began · 12 countries
China · Sudan · Jordan · Switzerland · Iraq · Malaysia · Suriname · Russia · Haiti · Mauritania · Ethiopia · Burkina Faso
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
ChinavsBangladesh
Population: 1,410,710,000 vs 171,466,990 people · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 4 other winning choices
All eight categories for China against Bangladesh
Category
China
Bangladesh
Result
Areakm² · Higher wins ↑
9,596,960
148,460
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
171,466,990
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
9,155
Would win
Densityper km² · Higher wins ↑
147.0
1,155.0
Would lose
Highest peakm · Higher wins ↑
8,849
1,060
Would win
Coastlinekm · Higher wins ↑
14,500
580
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
24.3° N
Would lose
2
Round 2Won14 countries · 4 lives left
SudanvsTimor-Leste
Area: 1,861,484 vs 14,874 km² · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 3 other winning choices
All eight categories for Sudan against Timor-Leste
Category
Sudan
Timor-Leste
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
14,874
Would win
Populationpeople · Higher wins ↑
50,042,791
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
4,811
Would lose
Densityper km² · Higher wins ↑
26.9
93.1
Would lose
Highest peakm · Higher wins ↑
3,042
2,963
Would win
Coastlinekm · Higher wins ↑
853
706
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
8.9° S
Would lose
3
Round 3Won15 countries · 4 lives left
JordanvsDenmark
Proximity to equator: 30.7° N vs 55.9° N from the equator · Closer wins ↓
Conquered Denmark.
Other category comparisons 4 other winning choices
All eight categories for Jordan against Denmark
Category
Jordan
Denmark
Result
Areakm² · Higher wins ↑
89,342
43,094
Would win
Populationpeople · Higher wins ↑
11,439,213
5,946,952
Would win
Wealth per personint’l $ · Higher wins ↑
11,451
77,425
Would lose
Densityper km² · Higher wins ↑
128.0
138.0
Would lose
Highest peakm · Higher wins ↑
1,854
171
Would win
Coastlinekm · Higher wins ↑
26
7,314
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
30.7° N
55.9° N
Would win
4
Round 4Won16 countries · 4 lives left
SwitzerlandvsSyria
Density: 215.3 vs 125.9 per km² · Higher wins ↑
Conquered Syria.
Other category comparisons 1 other winning choice
All eight categories for Switzerland against Syria
Category
Switzerland
Syria
Result
Areakm² · Higher wins ↑
41,277
187,437
Would lose
Populationpeople · Higher wins ↑
8,888,822
23,594,623
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
93,940
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
215.3
125.9
Would win
Highest peakm · Higher wins ↑
4,634
2,814
Would win
Coastlinekm · Higher wins ↑
0
193
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
35.0° N
Would lose
5
Round 5Won17 countries · 4 lives left
IraqvsAndorra
Area: 438,317 vs 468 km² · Higher wins ↑
Conquered Andorra.
Other category comparisons 4 other winning choices
All eight categories for Iraq against Andorra
Category
Iraq
Andorra
Result
Areakm² · Higher wins ↑ · Chosen
438,317
468
Would win
Populationpeople · Higher wins ↑
45,074,049
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
14,665
71,790
Would lose
Densityper km² · Higher wins ↑
102.8
172.8
Would lose
Highest peakm · Higher wins ↑
3,611
2,946
Would win
Coastlinekm · Higher wins ↑
58
0
Would win
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
42.5° N
Would win
6
Round 6Won18 countries · 4 lives left
MalaysiavsTajikistan
Area: 329,847 vs 144,100 km² · Higher wins ↑
Conquered Tajikistan.
Other category comparisons 5 other winning choices
All eight categories for Malaysia against Tajikistan
Category
Malaysia
Tajikistan
Result
Areakm² · Higher wins ↑ · Chosen
329,847
144,100
Would win
Populationpeople · Higher wins ↑
35,126,298
10,389,799
Would win
Wealth per personint’l $ · Higher wins ↑
36,497
4,968
Would win
Densityper km² · Higher wins ↑
106.5
72.1
Would win
Highest peakm · Higher wins ↑
4,095
7,495
Would lose
Coastlinekm · Higher wins ↑
4,675
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
4.4° N
38.3° N
Would win
7
Round 7Won19 countries · 4 lives left
SurinamevsChile
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Chile.
Other category comparisons 1 other winning choice
All eight categories for Suriname against Chile
Category
Suriname
Chile
Result
Areakm² · Higher wins ↑
163,820
756,102
Would lose
Populationpeople · Higher wins ↑
628,886
19,658,835
Would lose
Wealth per personint’l $ · Higher wins ↑
21,128
33,174
Would lose
Densityper km² · Higher wins ↑
3.8
26.0
Would lose
Highest peakm · Higher wins ↑
1,230
6,893
Would lose
Coastlinekm · Higher wins ↑
386
6,435
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.1° N
23.4° S
Would win
8
Round 8Won20 countries · 4 lives left
RussiavsItaly
Population: 143,826,130 vs 58,984,216 people · Higher wins ↑
Conquered Italy.
Other category comparisons 3 other winning choices
All eight categories for Russia against Italy
Category
Russia
Italy
Result
Areakm² · Higher wins ↑
17,098,242
301,340
Would win
Populationpeople · Higher wins ↑ · Chosen
143,826,130
58,984,216
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
60,350
Would lose
Densityper km² · Higher wins ↑
8.4
195.7
Would lose
Highest peakm · Higher wins ↑
5,642
4,748
Would win
Coastlinekm · Higher wins ↑
37,653
7,600
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
45.1° N
Would lose
9
Round 9Won21 countries · 4 lives left
HaitivsBhutan
Density: 419.4 vs 20.5 per km² · Higher wins ↑
Conquered Bhutan.
Other category comparisons 4 other winning choices
All eight categories for Haiti against Bhutan
Category
Haiti
Bhutan
Result
Areakm² · Higher wins ↑
27,750
38,394
Would lose
Populationpeople · Higher wins ↑
11,637,398
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
3,265
16,229
Would lose
Densityper km² · Higher wins ↑ · Chosen
419.4
20.5
Would win
Highest peakm · Higher wins ↑
2,674
7,570
Would lose
Coastlinekm · Higher wins ↑
1,771
0
Would win
Flag colourscolours · Higher wins ↑
7
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.2° N
27.5° N
Would win
10
Round 10Won22 countries · 4 lives left
MauritaniavsCabo Verde
Area: 1,030,700 vs 4,033 km² · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 1 other winning choice
All eight categories for Mauritania against Cabo Verde
Category
Mauritania
Cabo Verde
Result
Areakm² · Higher wins ↑ · Chosen
1,030,700
4,033
Would win
Populationpeople · Higher wins ↑
5,022,441
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
6,972
10,251
Would lose
Densityper km² · Higher wins ↑
4.9
129.5
Would lose
Highest peakm · Higher wins ↑
915
2,829
Would lose
Coastlinekm · Higher wins ↑
754
965
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
15.0° N
Would lose
11
Round 11Won23 countries · 4 lives left
EthiopiavsUruguay
Population: 128,691,692 vs 3,388,081 people · Higher wins ↑
Conquered Uruguay.
Other category comparisons 4 other winning choices
All eight categories for Ethiopia against Uruguay
Category
Ethiopia
Uruguay
Result
Areakm² · Higher wins ↑
1,104,300
176,215
Would win
Populationpeople · Higher wins ↑ · Chosen
128,691,692
3,388,081
Would win
Wealth per personint’l $ · Higher wins ↑
3,063
34,546
Would lose
Densityper km² · Higher wins ↑
116.5
19.2
Would win
Highest peakm · Higher wins ↑
4,550
514
Would win
Coastlinekm · Higher wins ↑
0
660
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.5° N
32.9° S
Would win
12
Round 12Won24 countries · 4 lives left
Burkina FasovsPoland
Proximity to equator: 12.8° N vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 1 other winning choice
All eight categories for Burkina Faso against Poland
Category
Burkina Faso
Poland
Result
Areakm² · Higher wins ↑
274,200
312,685
Would lose
Populationpeople · Higher wins ↑
23,025,776
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
2,762
48,473
Would lose
Densityper km² · Higher wins ↑
84.0
117.3
Would lose
Highest peakm · Higher wins ↑
749
2,499
Would lose
Coastlinekm · Higher wins ↑
0
440
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.8° N
51.9° N
Would win
13
Round 13Won25 countries · 4 lives left
ChinavsGuinea-Bissau
Population: 1,410,710,000 vs 2,153,339 people · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 5 other winning choices
All eight categories for China against Guinea-Bissau
Category
China
Guinea-Bissau
Result
Areakm² · Higher wins ↑
9,596,960
36,125
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
2,956
Would win
Densityper km² · Higher wins ↑
147.0
59.6
Would win
Highest peakm · Higher wins ↑
8,849
277
Would win
Coastlinekm · Higher wins ↑
14,500
350
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
12.1° N
Would lose
14
Round 14Won26 countries · 4 lives left
BangladeshvsPortugal
Population: 171,466,990 vs 10,578,174 people · Higher wins ↑
Conquered Portugal.
Other category comparisons 3 other winning choices
All eight categories for Bangladesh against Portugal
Category
Bangladesh
Portugal
Result
Areakm² · Higher wins ↑
148,460
92,090
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
49,800
Would lose
Densityper km² · Higher wins ↑
1,155.0
114.9
Would win
Highest peakm · Higher wins ↑
1,060
2,351
Would lose
Coastlinekm · Higher wins ↑
580
1,793
Would lose
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
40.7° N
Would win
15
Round 15Won27 countries · 4 lives left
SudanvsKazakhstan
Population: 50,042,791 vs 20,330,104 people · Higher wins ↑
Conquered Kazakhstan.
Other category comparisons 4 other winning choices
All eight categories for Sudan against Kazakhstan
Category
Sudan
Kazakhstan
Result
Areakm² · Higher wins ↑
1,861,484
2,724,900
Would lose
Populationpeople · Higher wins ↑ · Chosen
50,042,791
20,330,104
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
38,547
Would lose
Densityper km² · Higher wins ↑
26.9
7.5
Would win
Highest peakm · Higher wins ↑
3,042
7,010
Would lose
Coastlinekm · Higher wins ↑
853
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
48.5° N
Would win
16
Round 16Won28 countries · 4 lives left
Timor-LestevsGreece
Proximity to equator: 8.9° S vs 39.8° N from the equator · Closer wins ↓
Conquered Greece.
Other category comparisons 3 other winning choices
All eight categories for Timor-Leste against Greece
Category
Timor-Leste
Greece
Result
Areakm² · Higher wins ↑
14,874
131,957
Would lose
Populationpeople · Higher wins ↑
1,384,286
10,407,351
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
42,614
Would lose
Densityper km² · Higher wins ↑
93.1
78.9
Would win
Highest peakm · Higher wins ↑
2,963
2,917
Would win
Coastlinekm · Higher wins ↑
706
13,676
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° S
39.8° N
Would win
17
Round 17Won29 countries · 4 lives left
JordanvsYemen
Density: 128.0 vs 74.6 per km² · Higher wins ↑
Conquered Yemen.
Other category comparisons 1 other winning choice
All eight categories for Jordan against Yemen
Category
Jordan
Yemen
Result
Areakm² · Higher wins ↑
89,342
527,968
Would lose
Populationpeople · Higher wins ↑
11,439,213
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
11,451
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
128.0
74.6
Would win
Highest peakm · Higher wins ↑
1,854
3,666
Would lose
Coastlinekm · Higher wins ↑
26
1,906
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.7° N
15.3° N
Would lose
18
Round 18Won30 countries · 4 lives left
DenmarkvsSpain
Wealth per person: 77,425 vs 55,661 int’l $ · Higher wins ↑
Conquered Spain.
Other category comparisons 2 other winning choices
All eight categories for Denmark against Spain
Category
Denmark
Spain
Result
Areakm² · Higher wins ↑
43,094
505,370
Would lose
Populationpeople · Higher wins ↑
5,946,952
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
77,425
55,661
Would win
Densityper km² · Higher wins ↑
138.0
95.7
Would win
Highest peakm · Higher wins ↑
171
3,718
Would lose
Coastlinekm · Higher wins ↑
7,314
4,964
Would win
Flag colourscolours · Higher wins ↑
2
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
40.0° N
Would lose
19
Round 19Won31 countries · 4 lives left
SwitzerlandvsPanama
Wealth per person: 93,940 vs 39,846 int’l $ · Higher wins ↑
Conquered Panama.
Other category comparisons 3 other winning choices
All eight categories for Switzerland against Panama
Category
Switzerland
Panama
Result
Areakm² · Higher wins ↑
41,277
75,420
Would lose
Populationpeople · Higher wins ↑
8,888,822
4,458,759
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
39,846
Would win
Densityper km² · Higher wins ↑
215.3
59.1
Would win
Highest peakm · Higher wins ↑
4,634
3,475
Would win
Coastlinekm · Higher wins ↑
0
2,490
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
8.4° N
Would lose
20
Round 20Won32 countries · 4 lives left
SyriavsCyprus
Area: 187,437 vs 9,251 km² · Higher wins ↑
Conquered Cyprus.
Other category comparisons 3 other winning choices
All eight categories for Syria against Cyprus
Category
Syria
Cyprus
Result
Areakm² · Higher wins ↑ · Chosen
187,437
9,251
Would win
Populationpeople · Higher wins ↑
23,594,623
1,344,976
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
59,875
Unavailable
Densityper km² · Higher wins ↑
125.9
145.4
Would lose
Highest peakm · Higher wins ↑
2,814
1,951
Would win
Coastlinekm · Higher wins ↑
193
648
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓