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Untimed expedition · Data edition 01051846d672
22Wins
2Losses
0Ties
Explore the final empire · 32 countries
No countries match your search.
The path through the world
One choice at a time.
24 rounds
Where it began · 12 countries
Czechia · Latvia · Iraq · Morocco · Libya · Lithuania · United Kingdom · Bhutan · Panama · Vanuatu · Serbia · Kazakhstan
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
CzechiavsYemen
Density: 137.8 vs 74.6 per km² · Higher wins ↑
Conquered Yemen.
Other category comparisons 0 other winning choices
All eight categories for Czechia against Yemen
Category
Czechia
Yemen
Result
Areakm² · Higher wins ↑
78,867
527,968
Would lose
Populationpeople · Higher wins ↑
10,864,042
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
56,062
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
137.8
74.6
Would win
Highest peakm · Higher wins ↑
1,602
3,666
Would lose
Coastlinekm · Higher wins ↑
0
1,906
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
15.3° N
Would lose
2
Round 2Won14 countries · 4 lives left
LatviavsQatar
Area: 64,589 vs 11,586 km² · Higher wins ↑
Conquered Qatar.
Other category comparisons 1 other winning choice
All eight categories for Latvia against Qatar
Category
Latvia
Qatar
Result
Areakm² · Higher wins ↑ · Chosen
64,589
11,586
Would win
Populationpeople · Higher wins ↑
1,883,710
2,656,032
Would lose
Wealth per personint’l $ · Higher wins ↑
42,784
129,025
Would lose
Densityper km² · Higher wins ↑
29.2
229.2
Would lose
Highest peakm · Higher wins ↑
312
103
Would win
Coastlinekm · Higher wins ↑
498
563
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
25.1° N
Would lose
3
Round 3Won15 countries · 4 lives left
IraqvsMalta
Area: 438,317 vs 316 km² · Higher wins ↑
Conquered Malta.
Other category comparisons 4 other winning choices
All eight categories for Iraq against Malta
Category
Iraq
Malta
Result
Areakm² · Higher wins ↑ · Chosen
438,317
316
Would win
Populationpeople · Higher wins ↑
45,074,049
552,747
Would win
Wealth per personint’l $ · Higher wins ↑
14,665
67,101
Would lose
Densityper km² · Higher wins ↑
102.8
1,749.2
Would lose
Highest peakm · Higher wins ↑
3,611
253
Would win
Coastlinekm · Higher wins ↑
58
196.8
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
35.9° N
Would win
4
Round 4Won16 countries · 4 lives left
MoroccovsBosnia and Herzegovina
Area: 446,550 vs 51,197 km² · Higher wins ↑
Conquered Bosnia and Herzegovina.
Other category comparisons 5 other winning choices
All eight categories for Morocco against Bosnia and Herzegovina
Category
Morocco
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑ · Chosen
446,550
51,197
Would win
Populationpeople · Higher wins ↑
37,712,505
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
23,376
Would lose
Densityper km² · Higher wins ↑
84.5
62.2
Would win
Highest peakm · Higher wins ↑
4,165
2,386
Would win
Coastlinekm · Higher wins ↑
1,835
20
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
44.1° N
Would win
5
Round 5Won17 countries · 4 lives left
LibyavsEthiopia
Area: 1,759,540 vs 1,104,300 km² · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 2 other winning choices
All eight categories for Libya against Ethiopia
Category
Libya
Ethiopia
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
1,104,300
Would win
Populationpeople · Higher wins ↑
7,305,659
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑
13,858
3,063
Would win
Densityper km² · Higher wins ↑
4.2
116.5
Would lose
Highest peakm · Higher wins ↑
2,267
4,550
Would lose
Coastlinekm · Higher wins ↑
1,770
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
8.5° N
Would lose
6
Round 6Won18 countries · 4 lives left
LithuaniavsBahamas
Area: 65,300 vs 13,880 km² · Higher wins ↑
Conquered Bahamas.
Other category comparisons 4 other winning choices
All eight categories for Lithuania against Bahamas
Category
Lithuania
Bahamas
Result
Areakm² · Higher wins ↑ · Chosen
65,300
13,880
Would win
Populationpeople · Higher wins ↑
2,871,585
399,440
Would win
Wealth per personint’l $ · Higher wins ↑
52,720
39,122
Would win
Densityper km² · Higher wins ↑
44.0
28.8
Would win
Highest peakm · Higher wins ↑
294
64
Would win
Coastlinekm · Higher wins ↑
90
3,542
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
24.7° N
Would lose
7
Round 7Won19 countries · 4 lives left
United KingdomvsPoland
Population: 68,526,000 vs 36,687,353 people · Higher wins ↑
Conquered Poland.
Other category comparisons 4 other winning choices
All eight categories for United Kingdom against Poland
Category
United Kingdom
Poland
Result
Areakm² · Higher wins ↑
243,610
312,685
Would lose
Populationpeople · Higher wins ↑ · Chosen
68,526,000
36,687,353
Would win
Wealth per personint’l $ · Higher wins ↑
60,787
48,473
Would win
Densityper km² · Higher wins ↑
281.3
117.3
Would win
Highest peakm · Higher wins ↑
1,345
2,499
Would lose
Coastlinekm · Higher wins ↑
12,429
440
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
51.9° N
Would lose
8
Round 8Won20 countries · 4 lives left
BhutanvsCabo Verde
Area: 38,394 vs 4,033 km² · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 3 other winning choices
All eight categories for Bhutan against Cabo Verde
Category
Bhutan
Cabo Verde
Result
Areakm² · Higher wins ↑ · Chosen
38,394
4,033
Would win
Populationpeople · Higher wins ↑
786,385
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
16,229
10,251
Would win
Densityper km² · Higher wins ↑
20.5
129.5
Would lose
Highest peakm · Higher wins ↑
7,570
2,829
Would win
Coastlinekm · Higher wins ↑
0
965
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
15.0° N
Would lose
9
Round 9Won21 countries · 4 lives left
PanamavsIndonesia
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Indonesia.
Other category comparisons 1 other winning choice
All eight categories for Panama against Indonesia
Category
Panama
Indonesia
Result
Areakm² · Higher wins ↑
75,420
1,904,569
Would lose
Populationpeople · Higher wins ↑
4,458,759
281,190,067
Would lose
Wealth per personint’l $ · Higher wins ↑
39,846
15,428
Would win
Densityper km² · Higher wins ↑
59.1
147.6
Would lose
Highest peakm · Higher wins ↑
3,475
4,884
Would lose
Coastlinekm · Higher wins ↑
2,490
54,716
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.4° N
1.0° S
Would lose
10
Round 10Lost20 countries · 3 lives left
VanuatuvsIndia
Wealth per person: 4,202 vs 9,853 int’l $ · Higher wins ↑
Returned to the world: Vanuatu.
Other category comparisons 1 other winning choice
All eight categories for Vanuatu against India
Category
Vanuatu
India
Result
Areakm² · Higher wins ↑
12,189
3,287,263
Would lose
Populationpeople · Higher wins ↑
320,409
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
4,202
9,853
Would lose
Densityper km² · Higher wins ↑
26.3
437.5
Would lose
Highest peakm · Higher wins ↑
1,877
8,586
Would lose
Coastlinekm · Higher wins ↑
2,528
7,000
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.4° S
22.4° N
Would win
11
Round 11Won21 countries · 3 lives left
SerbiavsMexico
Density: 85.5 vs 66.0 per km² · Higher wins ↑
Conquered Mexico.
Other category comparisons 1 other winning choice
All eight categories for Serbia against Mexico
Category
Serbia
Mexico
Result
Areakm² · Higher wins ↑
77,474
1,964,375
Would lose
Populationpeople · Higher wins ↑
6,623,183
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑
29,777
25,188
Would win
Densityper km² · Higher wins ↑ · Chosen
85.5
66.0
Would win
Highest peakm · Higher wins ↑
2,169
5,636
Would lose
Coastlinekm · Higher wins ↑
0
9,330
Would lose
Flag colourscolours · Higher wins ↑
5
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
44.2° N
23.5° N
Would lose
12
Round 12Won22 countries · 3 lives left
KazakhstanvsBelarus
Area: 2,724,900 vs 207,600 km² · Higher wins ↑
Conquered Belarus.
Other category comparisons 4 other winning choices
All eight categories for Kazakhstan against Belarus
Category
Kazakhstan
Belarus
Result
Areakm² · Higher wins ↑ · Chosen
2,724,900
207,600
Would win
Populationpeople · Higher wins ↑
20,330,104
9,178,298
Would win
Wealth per personint’l $ · Higher wins ↑
38,547
30,860
Would win
Densityper km² · Higher wins ↑
7.5
44.2
Would lose
Highest peakm · Higher wins ↑
7,010
346
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
48.5° N
53.8° N
Would win
13
Round 13Won23 countries · 3 lives left
CzechiavsTürkiye
Density: 137.8 vs 108.9 per km² · Higher wins ↑
Conquered Türkiye.
Other category comparisons 2 other winning choices
All eight categories for Czechia against Türkiye
Category
Czechia
Türkiye
Result
Areakm² · Higher wins ↑
78,867
783,562
Would lose
Populationpeople · Higher wins ↑
10,864,042
85,325,965
Would lose
Wealth per personint’l $ · Higher wins ↑
56,062
43,196
Would win
Densityper km² · Higher wins ↑ · Chosen
137.8
108.9
Would win
Highest peakm · Higher wins ↑
1,602
5,137
Would lose
Coastlinekm · Higher wins ↑
0
7,200
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
39.1° N
Would lose
14
Round 14Won24 countries · 3 lives left
YemenvsNetherlands
Coastline: 1,906 vs 451 km · Higher wins ↑
Conquered Netherlands.
Other category comparisons 4 other winning choices
All eight categories for Yemen against Netherlands
Category
Yemen
Netherlands
Result
Areakm² · Higher wins ↑
527,968
41,543
Would win
Populationpeople · Higher wins ↑
39,390,799
17,877,117
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
80,392
Unavailable
Densityper km² · Higher wins ↑
74.6
430.3
Would lose
Highest peakm · Higher wins ↑
3,666
322
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,906
451
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
52.2° N
Would win
15
Round 15Won25 countries · 3 lives left
LatviavsCentral African Republic
Wealth per person: 42,784 vs 1,258 int’l $ · Higher wins ↑
Conquered Central African Republic.
Other category comparisons 2 other winning choices
All eight categories for Latvia against Central African Republic
Category
Latvia
Central African Republic
Result
Areakm² · Higher wins ↑
64,589
622,984
Would lose
Populationpeople · Higher wins ↑
1,883,710
5,152,421
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,784
1,258
Would win
Densityper km² · Higher wins ↑
29.2
8.3
Would win
Highest peakm · Higher wins ↑
312
1,410
Would lose
Coastlinekm · Higher wins ↑
498
0
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
7.0° N
Would lose
16
Round 16Won26 countries · 3 lives left
QatarvsChad
Coastline: 563 vs 0 km · Higher wins ↑
Conquered Chad.
Other category comparisons 2 other winning choices
All eight categories for Qatar against Chad
Category
Qatar
Chad
Result
Areakm² · Higher wins ↑
11,586
1,284,000
Would lose
Populationpeople · Higher wins ↑
2,656,032
19,319,064
Would lose
Wealth per personint’l $ · Higher wins ↑
129,025
2,703
Would win
Densityper km² · Higher wins ↑
229.2
15.0
Would win
Highest peakm · Higher wins ↑
103
3,445
Would lose
Coastlinekm · Higher wins ↑ · Chosen
563
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
25.1° N
17.3° N
Would lose
17
Round 17Won27 countries · 3 lives left
IraqvsChile
Population: 45,074,049 vs 19,658,835 people · Higher wins ↑
Conquered Chile.
Other category comparisons 2 other winning choices
All eight categories for Iraq against Chile
Category
Iraq
Chile
Result
Areakm² · Higher wins ↑
438,317
756,102
Would lose
Populationpeople · Higher wins ↑ · Chosen
45,074,049
19,658,835
Would win
Wealth per personint’l $ · Higher wins ↑
14,665
33,174
Would lose
Densityper km² · Higher wins ↑
102.8
26.0
Would win
Highest peakm · Higher wins ↑
3,611
6,893
Would lose
Coastlinekm · Higher wins ↑
58
6,435
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
23.4° S
Would lose
18
Round 18Won28 countries · 3 lives left
MaltavsCambodia
Wealth per person: 67,101 vs 7,437 int’l $ · Higher wins ↑
Conquered Cambodia.
Other category comparisons 1 other winning choice
All eight categories for Malta against Cambodia
Category
Malta
Cambodia
Result
Areakm² · Higher wins ↑
316
181,035
Would lose
Populationpeople · Higher wins ↑
552,747
17,423,880
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
67,101
7,437
Would win
Densityper km² · Higher wins ↑
1,749.2
96.2
Would win
Highest peakm · Higher wins ↑
253
1,810
Would lose
Coastlinekm · Higher wins ↑
196.8
443
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
12.6° N
Would lose
19
Round 19Won29 countries · 3 lives left
MoroccovsDenmark
Area: 446,550 vs 43,094 km² · Higher wins ↑
Conquered Denmark.
Other category comparisons 3 other winning choices
All eight categories for Morocco against Denmark
Category
Morocco
Denmark
Result
Areakm² · Higher wins ↑ · Chosen
446,550
43,094
Would win
Populationpeople · Higher wins ↑
37,712,505
5,946,952
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
77,425
Would lose
Densityper km² · Higher wins ↑
84.5
138.0
Would lose
Highest peakm · Higher wins ↑
4,165
171
Would win
Coastlinekm · Higher wins ↑
1,835
7,314
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
55.9° N
Would win
20
Round 20Won30 countries · 3 lives left
Bosnia and HerzegovinavsTimor-Leste
Area: 51,197 vs 14,874 km² · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 2 other winning choices
All eight categories for Bosnia and Herzegovina against Timor-Leste
Category
Bosnia and Herzegovina
Timor-Leste
Result
Areakm² · Higher wins ↑ · Chosen
51,197
14,874
Would win
Populationpeople · Higher wins ↑
3,185,073
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑
23,376
4,811
Would win
Densityper km² · Higher wins ↑
62.2
93.1
Would lose
Highest peakm · Higher wins ↑
2,386
2,963
Would lose
Coastlinekm · Higher wins ↑
20
706
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Czechiavs
Yemen
Latvia
Qatar
Iraq
Malta
Morocco
Bosnia and Herzegovina
Libya
Ethiopia
Lithuania
Bahamas
United Kingdom
Poland
Bhutan
Cabo Verde
Panama
Indonesia
Vanuatu
India
Serbia
Mexico
Kazakhstan
Belarus
Türkiye
Netherlands
Central African Republic
Chad
Chile
Cambodia
Denmark
Timor-Leste