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Untimed expedition · Data edition 01051846d672
60Wins
2Losses
0Ties
Explore the final empire · 70 countries
No countries match your search.
The path through the world
One choice at a time.
62 rounds
Where it began · 12 countries
Thailand · Poland · Mozambique · Mali · Iraq · Palestine · Egypt · Namibia · Saudi Arabia · Malta · Guyana · Jordan
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
ThailandvsTürkiye
Proximity to equator: 15.5° N vs 39.1° N from the equator · Closer wins ↓
Conquered Türkiye.
Other category comparisons 2 other winning choices
All eight categories for Thailand against Türkiye
Category
Thailand
Türkiye
Result
Areakm² · Higher wins ↑
513,120
783,562
Would lose
Populationpeople · Higher wins ↑
71,702,435
85,325,965
Would lose
Wealth per personint’l $ · Higher wins ↑
23,598
43,196
Would lose
Densityper km² · Higher wins ↑
139.7
108.9
Would win
Highest peakm · Higher wins ↑
2,565
5,137
Would lose
Coastlinekm · Higher wins ↑
3,219
7,200
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.5° N
39.1° N
Would win
2
Round 2Won14 countries · 4 lives left
PolandvsUnited States
Density: 117.3 vs 34.2 per km² · Higher wins ↑
Conquered United States.
Other category comparisons 0 other winning choices
All eight categories for Poland against United States
Category
Poland
United States
Result
Areakm² · Higher wins ↑
312,685
9,833,517
Would lose
Populationpeople · Higher wins ↑
36,687,353
336,755,052
Would lose
Wealth per personint’l $ · Higher wins ↑
48,473
82,587
Would lose
Densityper km² · Higher wins ↑ · Chosen
117.3
34.2
Would win
Highest peakm · Higher wins ↑
2,499
6,190
Would lose
Coastlinekm · Higher wins ↑
440
19,924
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
39.1° N
Would lose
3
Round 3Won15 countries · 4 lives left
MozambiquevsOman
Area: 799,380 vs 309,500 km² · Higher wins ↑
Conquered Oman.
Other category comparisons 5 other winning choices
All eight categories for Mozambique against Oman
Category
Mozambique
Oman
Result
Areakm² · Higher wins ↑ · Chosen
799,380
309,500
Would win
Populationpeople · Higher wins ↑
33,635,160
5,049,269
Would win
Wealth per personint’l $ · Higher wins ↑
1,680
41,980
Would lose
Densityper km² · Higher wins ↑
42.1
16.3
Would win
Highest peakm · Higher wins ↑
2,436
3,004
Would lose
Coastlinekm · Higher wins ↑
2,470
2,092
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.0° S
22.1° N
Would win
4
Round 4Won16 countries · 4 lives left
MalivsGabon
Area: 1,240,192 vs 267,667 km² · Higher wins ↑
Conquered Gabon.
Other category comparisons 3 other winning choices
All eight categories for Mali against Gabon
Category
Mali
Gabon
Result
Areakm² · Higher wins ↑ · Chosen
1,240,192
267,667
Would win
Populationpeople · Higher wins ↑
23,769,127
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
3,178
20,773
Would lose
Densityper km² · Higher wins ↑
19.2
9.3
Would win
Highest peakm · Higher wins ↑
1,155
1,050
Would win
Coastlinekm · Higher wins ↑
0
885
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
18.6° N
0.6° S
Would lose
5
Round 5Won17 countries · 4 lives left
IraqvsBelarus
Population: 45,074,049 vs 9,178,298 people · Higher wins ↑
Conquered Belarus.
Other category comparisons 6 other winning choices
All eight categories for Iraq against Belarus
Category
Iraq
Belarus
Result
Areakm² · Higher wins ↑
438,317
207,600
Would win
Populationpeople · Higher wins ↑ · Chosen
45,074,049
9,178,298
Would win
Wealth per personint’l $ · Higher wins ↑
14,665
30,860
Would lose
Densityper km² · Higher wins ↑
102.8
44.2
Would win
Highest peakm · Higher wins ↑
3,611
346
Would win
Coastlinekm · Higher wins ↑
58
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
53.8° N
Would win
6
Round 6Won18 countries · 4 lives left
PalestinevsSolomon Islands
Density: 830.5 vs 27.7 per km² · Higher wins ↑
Conquered Solomon Islands.
Other category comparisons 2 other winning choices
All eight categories for Palestine against Solomon Islands
Category
Palestine
Solomon Islands
Result
Areakm² · Higher wins ↑
6,220
28,896
Would lose
Populationpeople · Higher wins ↑
5,165,775
800,005
Would win
Wealth per personint’l $ · Higher wins ↑
6,179
2,599
Would win
Densityper km² · Higher wins ↑ · Chosen
830.5
27.7
Would win
Highest peakm · Higher wins ↑
1,020
2,335
Would lose
Coastlinekm · Higher wins ↑
40
5,313
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
9.6° S
Would lose
7
Round 7Won19 countries · 4 lives left
EgyptvsPapua New Guinea
Population: 114,535,772 vs 10,389,635 people · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 3 other winning choices
All eight categories for Egypt against Papua New Guinea
Category
Egypt
Papua New Guinea
Result
Areakm² · Higher wins ↑
1,001,450
462,840
Would win
Populationpeople · Higher wins ↑ · Chosen
114,535,772
10,389,635
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
4,672
Would win
Densityper km² · Higher wins ↑
114.4
22.4
Would win
Highest peakm · Higher wins ↑
2,629
4,509
Would lose
Coastlinekm · Higher wins ↑
2,450
5,152
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
5.5° S
Would lose
8
Round 8Won20 countries · 4 lives left
NamibiavsUganda
Area: 824,292 vs 241,038 km² · Higher wins ↑
Conquered Uganda.
Other category comparisons 2 other winning choices
All eight categories for Namibia against Uganda
Category
Namibia
Uganda
Result
Areakm² · Higher wins ↑ · Chosen
824,292
241,038
Would win
Populationpeople · Higher wins ↑
2,963,095
48,656,601
Would lose
Wealth per personint’l $ · Higher wins ↑
11,248
3,100
Would win
Densityper km² · Higher wins ↑
3.6
201.9
Would lose
Highest peakm · Higher wins ↑
2,573
5,110
Would lose
Coastlinekm · Higher wins ↑
1,572
0
Would win
Flag colourscolours · Higher wins ↑
5
5
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
20.6° S
2.0° N
Would lose
9
Round 9Won21 countries · 4 lives left
Saudi ArabiavsSweden
Population: 33,702,731 vs 10,536,632 people · Higher wins ↑
Conquered Sweden.
Other category comparisons 4 other winning choices
All eight categories for Saudi Arabia against Sweden
Category
Saudi Arabia
Sweden
Result
Areakm² · Higher wins ↑
2,149,690
450,295
Would win
Populationpeople · Higher wins ↑ · Chosen
33,702,731
10,536,632
Would win
Wealth per personint’l $ · Higher wins ↑
71,624
68,458
Would win
Densityper km² · Higher wins ↑
15.7
23.4
Would lose
Highest peakm · Higher wins ↑
3,000
2,100
Would win
Coastlinekm · Higher wins ↑
2,640
3,218
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
65.8° N
Would win
10
Round 10Won22 countries · 4 lives left
MaltavsGuinea
Density: 1,749.2 vs 58.6 per km² · Higher wins ↑
Conquered Guinea.
Other category comparisons 1 other winning choice
All eight categories for Malta against Guinea
Category
Malta
Guinea
Result
Areakm² · Higher wins ↑
316
245,857
Would lose
Populationpeople · Higher wins ↑
552,747
14,405,468
Would lose
Wealth per personint’l $ · Higher wins ↑
67,101
4,337
Would win
Densityper km² · Higher wins ↑ · Chosen
1,749.2
58.6
Would win
Highest peakm · Higher wins ↑
253
1,752
Would lose
Coastlinekm · Higher wins ↑
196.8
320
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
10.7° N
Would lose
11
Round 11Won23 countries · 4 lives left
GuyanavsUzbekistan
Wealth per person: 54,774 vs 11,679 int’l $ · Higher wins ↑
Conquered Uzbekistan.
Other category comparisons 3 other winning choices
All eight categories for Guyana against Uzbekistan
Category
Guyana
Uzbekistan
Result
Areakm² · Higher wins ↑
214,969
447,400
Would lose
Populationpeople · Higher wins ↑
826,353
35,652,307
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,774
11,679
Would win
Densityper km² · Higher wins ↑
3.8
79.7
Would lose
Highest peakm · Higher wins ↑
2,775
4,643
Would lose
Coastlinekm · Higher wins ↑
459
0
Would win
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.7° N
41.5° N
Would win
12
Round 12Won24 countries · 4 lives left
JordanvsTurkmenistan
Proximity to equator: 30.7° N vs 39.9° N from the equator · Closer wins ↓
Conquered Turkmenistan.
Other category comparisons 3 other winning choices
All eight categories for Jordan against Turkmenistan
Category
Jordan
Turkmenistan
Result
Areakm² · Higher wins ↑
89,342
488,100
Would lose
Populationpeople · Higher wins ↑
11,439,213
7,364,438
Would win
Wealth per personint’l $ · Higher wins ↑
11,451
19,645
Would lose
Densityper km² · Higher wins ↑
128.0
15.1
Would win
Highest peakm · Higher wins ↑
1,854
3,139
Would lose
Coastlinekm · Higher wins ↑
26
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
30.7° N
39.9° N
Would win
13
Round 13Won25 countries · 4 lives left
ThailandvsVanuatu
Population: 71,702,435 vs 320,409 people · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 5 other winning choices
All eight categories for Thailand against Vanuatu
Category
Thailand
Vanuatu
Result
Areakm² · Higher wins ↑
513,120
12,189
Would win
Populationpeople · Higher wins ↑ · Chosen
71,702,435
320,409
Would win
Wealth per personint’l $ · Higher wins ↑
23,598
4,202
Would win
Densityper km² · Higher wins ↑
139.7
26.3
Would win
Highest peakm · Higher wins ↑
2,565
1,877
Would win
Coastlinekm · Higher wins ↑
3,219
2,528
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
15.4° S
Would lose
14
Round 14Won26 countries · 4 lives left
TürkiyevsLebanon
Population: 85,325,965 vs 5,773,493 people · Higher wins ↑
Conquered Lebanon.
Other category comparisons 4 other winning choices
All eight categories for Türkiye against Lebanon
Category
Türkiye
Lebanon
Result
Areakm² · Higher wins ↑
783,562
10,400
Would win
Populationpeople · Higher wins ↑ · Chosen
85,325,965
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
12,585
Would win
Densityper km² · Higher wins ↑
108.9
555.1
Would lose
Highest peakm · Higher wins ↑
5,137
3,088
Would win
Coastlinekm · Higher wins ↑
7,200
225
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
34.2° N
Would lose
15
Round 15Won27 countries · 4 lives left
PolandvsEcuador
Population: 36,687,353 vs 17,980,083 people · Higher wins ↑
Conquered Ecuador.
Other category comparisons 3 other winning choices
All eight categories for Poland against Ecuador
Category
Poland
Ecuador
Result
Areakm² · Higher wins ↑
312,685
283,561
Would win
Populationpeople · Higher wins ↑ · Chosen
36,687,353
17,980,083
Would win
Wealth per personint’l $ · Higher wins ↑
48,473
15,907
Would win
Densityper km² · Higher wins ↑
117.3
63.4
Would win
Highest peakm · Higher wins ↑
2,499
6,267
Would lose
Coastlinekm · Higher wins ↑
440
2,237
Would lose
Flag colourscolours · Higher wins ↑
2
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
1.2° S
Would lose
16
Round 16Won28 countries · 4 lives left
United StatesvsSerbia
Population: 336,755,052 vs 6,623,183 people · Higher wins ↑
Conquered Serbia.
Other category comparisons 5 other winning choices
All eight categories for United States against Serbia
Category
United States
Serbia
Result
Areakm² · Higher wins ↑
9,833,517
77,474
Would win
Populationpeople · Higher wins ↑ · Chosen
336,755,052
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑
82,587
29,777
Would win
Densityper km² · Higher wins ↑
34.2
85.5
Would lose
Highest peakm · Higher wins ↑
6,190
2,169
Would win
Coastlinekm · Higher wins ↑
19,924
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
44.2° N
Would win
17
Round 17Won29 countries · 4 lives left
MozambiquevsMalaysia
Area: 799,380 vs 329,847 km² · Higher wins ↑
Conquered Malaysia.
Other category comparisons 1 other winning choice
All eight categories for Mozambique against Malaysia
Category
Mozambique
Malaysia
Result
Areakm² · Higher wins ↑ · Chosen
799,380
329,847
Would win
Populationpeople · Higher wins ↑
33,635,160
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑
1,680
36,497
Would lose
Densityper km² · Higher wins ↑
42.1
106.5
Would lose
Highest peakm · Higher wins ↑
2,436
4,095
Would lose
Coastlinekm · Higher wins ↑
2,470
4,675
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.0° S
4.4° N
Would lose
18
Round 18Won30 countries · 4 lives left
OmanvsUnited Kingdom
Proximity to equator: 22.1° N vs 52.5° N from the equator · Closer wins ↓
Conquered United Kingdom.
Other category comparisons 2 other winning choices
All eight categories for Oman against United Kingdom
Category
Oman
United Kingdom
Result
Areakm² · Higher wins ↑
309,500
243,610
Would win
Populationpeople · Higher wins ↑
5,049,269
68,526,000
Would lose
Wealth per personint’l $ · Higher wins ↑
41,980
60,787
Would lose
Densityper km² · Higher wins ↑
16.3
281.3
Would lose
Highest peakm · Higher wins ↑
3,004
1,345
Would win
Coastlinekm · Higher wins ↑
2,092
12,429
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
22.1° N
52.5° N
Would win
19
Round 19Won31 countries · 4 lives left
MalivsTanzania
Area: 1,240,192 vs 947,300 km² · Higher wins ↑
Conquered Tanzania.
Other category comparisons 0 other winning choices
All eight categories for Mali against Tanzania
Category
Mali
Tanzania
Result
Areakm² · Higher wins ↑ · Chosen
1,240,192
947,300
Would win
Populationpeople · Higher wins ↑
23,769,127
66,617,606
Would lose
Wealth per personint’l $ · Higher wins ↑
3,178
4,022
Would lose
Densityper km² · Higher wins ↑
19.2
70.3
Would lose
Highest peakm · Higher wins ↑
1,155
5,895
Would lose
Coastlinekm · Higher wins ↑
0
1,424
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
18.6° N
5.5° S
Would lose
20
Round 20Won32 countries · 4 lives left
GabonvsEl Salvador
Area: 267,667 vs 21,041 km² · Higher wins ↑
Conquered El Salvador.
Other category comparisons 3 other winning choices
All eight categories for Gabon against El Salvador
Category
Gabon
El Salvador
Result
Areakm² · Higher wins ↑ · Chosen
267,667
21,041
Would win
Populationpeople · Higher wins ↑
2,484,789
6,309,624
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
12,667
Would win
Densityper km² · Higher wins ↑
9.3
299.9
Would lose
Highest peakm · Higher wins ↑
1,050
2,730
Would lose
Coastlinekm · Higher wins ↑
885
307
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓