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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
Israel · Argentina · Libya · Czechia · New Zealand · Croatia · Peru · Solomon Islands · Spain · Central African Republic · Bahamas · South Sudan
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
IsraelvsGuinea
Density: 449.0 vs 58.6 per km² · Higher wins ↑
Conquered Guinea.
Other category comparisons 2 other winning choices
All eight categories for Israel against Guinea
Category
Israel
Guinea
Result
Areakm² · Higher wins ↑
21,937
245,857
Would lose
Populationpeople · Higher wins ↑
9,849,000
14,405,468
Would lose
Wealth per personint’l $ · Higher wins ↑
55,301
4,337
Would win
Densityper km² · Higher wins ↑ · Chosen
449.0
58.6
Would win
Highest peakm · Higher wins ↑
2,224
1,752
Would win
Coastlinekm · Higher wins ↑
273
320
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
30.9° N
10.7° N
Would lose
2
Round 2Won14 countries · 4 lives left
ArgentinavsNorth Korea
Area: 2,780,400 vs 120,538 km² · Higher wins ↑
Conquered North Korea.
Other category comparisons 5 other winning choices
All eight categories for Argentina against North Korea
Category
Argentina
North Korea
Result
Areakm² · Higher wins ↑ · Chosen
2,780,400
120,538
Would win
Populationpeople · Higher wins ↑
45,538,401
26,418,204
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
30,246
Unavailable
Unavailable
Densityper km² · Higher wins ↑
16.4
219.2
Would lose
Highest peakm · Higher wins ↑
6,962
2,744
Would win
Coastlinekm · Higher wins ↑
4,989
2,495
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
39.9° N
Would win
3
Round 3Won15 countries · 4 lives left
LibyavsPakistan
Proximity to equator: 26.1° N vs 27.8° N from the equator · Closer wins ↓
Conquered Pakistan.
Other category comparisons 4 other winning choices
All eight categories for Libya against Pakistan
Category
Libya
Pakistan
Result
Areakm² · Higher wins ↑
1,759,540
796,095
Would win
Populationpeople · Higher wins ↑
7,305,659
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑
13,858
6,019
Would win
Densityper km² · Higher wins ↑
4.2
310.9
Would lose
Highest peakm · Higher wins ↑
2,267
8,611
Would lose
Coastlinekm · Higher wins ↑
1,770
1,046
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
26.1° N
27.8° N
Would win
4
Round 4Won16 countries · 4 lives left
CzechiavsIndia
Wealth per person: 56,062 vs 9,853 int’l $ · Higher wins ↑
Conquered India.
Other category comparisons 0 other winning choices
All eight categories for Czechia against India
Category
Czechia
India
Result
Areakm² · Higher wins ↑
78,867
3,287,263
Would lose
Populationpeople · Higher wins ↑
10,864,042
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
9,853
Would win
Densityper km² · Higher wins ↑
137.8
437.5
Would lose
Highest peakm · Higher wins ↑
1,602
8,586
Would lose
Coastlinekm · Higher wins ↑
0
7,000
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
22.4° N
Would lose
5
Round 5Won17 countries · 4 lives left
New ZealandvsBosnia and Herzegovina
Wealth per person: 54,950 vs 23,376 int’l $ · Higher wins ↑
Conquered Bosnia and Herzegovina.
Other category comparisons 4 other winning choices
All eight categories for New Zealand against Bosnia and Herzegovina
Category
New Zealand
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑
268,838
51,197
Would win
Populationpeople · Higher wins ↑
5,200,000
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,950
23,376
Would win
Densityper km² · Higher wins ↑
19.3
62.2
Would lose
Highest peakm · Higher wins ↑
3,724
2,386
Would win
Coastlinekm · Higher wins ↑
15,134
20
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
44.1° N
Would lose
6
Round 6Won18 countries · 4 lives left
CroatiavsCameroon
Wealth per person: 47,760 vs 5,415 int’l $ · Higher wins ↑
Conquered Cameroon.
Other category comparisons 3 other winning choices
All eight categories for Croatia against Cameroon
Category
Croatia
Cameroon
Result
Areakm² · Higher wins ↑
56,594
475,440
Would lose
Populationpeople · Higher wins ↑
3,859,686
28,372,687
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
47,760
5,415
Would win
Densityper km² · Higher wins ↑
68.2
59.7
Would win
Highest peakm · Higher wins ↑
1,831
4,045
Would lose
Coastlinekm · Higher wins ↑
5,835
402
Would win
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
4.5° N
Would lose
7
Round 7Won19 countries · 4 lives left
PeruvsMalaysia
Highest peak: 6,746 vs 4,095 m · Higher wins ↑
Conquered Malaysia.
Other category comparisons 1 other winning choice
All eight categories for Peru against Malaysia
Category
Peru
Malaysia
Result
Areakm² · Higher wins ↑
1,285,216
329,847
Would win
Populationpeople · Higher wins ↑
33,845,617
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑
17,042
36,497
Would lose
Densityper km² · Higher wins ↑
26.3
106.5
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,746
4,095
Would win
Coastlinekm · Higher wins ↑
2,414
4,675
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
4.4° N
Would lose
8
Round 8Won20 countries · 4 lives left
Solomon IslandsvsSwitzerland
Coastline: 5,313 vs 0 km · Higher wins ↑
Conquered Switzerland.
Other category comparisons 2 other winning choices
All eight categories for Solomon Islands against Switzerland
Category
Solomon Islands
Switzerland
Result
Areakm² · Higher wins ↑
28,896
41,277
Would lose
Populationpeople · Higher wins ↑
800,005
8,888,822
Would lose
Wealth per personint’l $ · Higher wins ↑
2,599
93,940
Would lose
Densityper km² · Higher wins ↑
27.7
215.3
Would lose
Highest peakm · Higher wins ↑
2,335
4,634
Would lose
Coastlinekm · Higher wins ↑ · Chosen
5,313
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
9.6° S
46.7° N
Would win
9
Round 9Won21 countries · 4 lives left
SpainvsQatar
Area: 505,370 vs 11,586 km² · Higher wins ↑
Conquered Qatar.
Other category comparisons 4 other winning choices
All eight categories for Spain against Qatar
Category
Spain
Qatar
Result
Areakm² · Higher wins ↑ · Chosen
505,370
11,586
Would win
Populationpeople · Higher wins ↑
48,352,528
2,656,032
Would win
Wealth per personint’l $ · Higher wins ↑
55,661
129,025
Would lose
Densityper km² · Higher wins ↑
95.7
229.2
Would lose
Highest peakm · Higher wins ↑
3,718
103
Would win
Coastlinekm · Higher wins ↑
4,964
563
Would win
Flag colourscolours · Higher wins ↑
10
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
25.1° N
Would lose
10
Round 10Won22 countries · 4 lives left
Central African RepublicvsTimor-Leste
Area: 622,984 vs 14,874 km² · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 3 other winning choices
All eight categories for Central African Republic against Timor-Leste
Category
Central African Republic
Timor-Leste
Result
Areakm² · Higher wins ↑ · Chosen
622,984
14,874
Would win
Populationpeople · Higher wins ↑
5,152,421
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑
1,258
4,811
Would lose
Densityper km² · Higher wins ↑
8.3
93.1
Would lose
Highest peakm · Higher wins ↑
1,410
2,963
Would lose
Coastlinekm · Higher wins ↑
0
706
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
8.9° S
Would win
11
Round 11Won23 countries · 4 lives left
BahamasvsThailand
Wealth per person: 39,122 vs 23,598 int’l $ · Higher wins ↑
Conquered Thailand.
Other category comparisons 1 other winning choice
All eight categories for Bahamas against Thailand
Category
Bahamas
Thailand
Result
Areakm² · Higher wins ↑
13,880
513,120
Would lose
Populationpeople · Higher wins ↑
399,440
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
39,122
23,598
Would win
Densityper km² · Higher wins ↑
28.8
139.7
Would lose
Highest peakm · Higher wins ↑
64
2,565
Would lose
Coastlinekm · Higher wins ↑
3,542
3,219
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
24.7° N
15.5° N
Would lose
12
Round 12Won24 countries · 4 lives left
South SudanvsPhilippines
Flag colours: 6 vs 4 colours · Higher wins ↑
Conquered Philippines.
Other category comparisons 3 other winning choices
All eight categories for South Sudan against Philippines
Category
South Sudan
Philippines
Result
Areakm² · Higher wins ↑
644,329
300,000
Would win
Populationpeople · Higher wins ↑
11,483,374
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
10,995
Unavailable
Densityper km² · Higher wins ↑
17.8
383.0
Would lose
Highest peakm · Higher wins ↑
3,187
2,954
Would win
Coastlinekm · Higher wins ↑
0
36,289
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
17.0° N
Would win
13
Round 13Won25 countries · 4 lives left
IsraelvsPanama
Wealth per person: 55,301 vs 39,846 int’l $ · Higher wins ↑
Conquered Panama.
Other category comparisons 2 other winning choices
All eight categories for Israel against Panama
Category
Israel
Panama
Result
Areakm² · Higher wins ↑
21,937
75,420
Would lose
Populationpeople · Higher wins ↑
9,849,000
4,458,759
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
55,301
39,846
Would win
Densityper km² · Higher wins ↑
449.0
59.1
Would win
Highest peakm · Higher wins ↑
2,224
3,475
Would lose
Coastlinekm · Higher wins ↑
273
2,490
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
30.9° N
8.4° N
Would lose
14
Round 14Lost24 countries · 3 lives left
GuineavsSri Lanka
Proximity to equator: 10.7° N vs 7.1° N from the equator · Closer wins ↓
Returned to the world: Guinea.
Other category comparisons 1 other winning choice
All eight categories for Guinea against Sri Lanka
Category
Guinea
Sri Lanka
Result
Areakm² · Higher wins ↑
245,857
65,610
Would win
Populationpeople · Higher wins ↑
14,405,468
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑
4,337
14,512
Would lose
Densityper km² · Higher wins ↑
58.6
335.9
Would lose
Highest peakm · Higher wins ↑
1,752
2,524
Would lose
Coastlinekm · Higher wins ↑
320
1,340
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.7° N
7.1° N
Would lose
15
Round 15Won25 countries · 3 lives left
ArgentinavsPoland
Area: 2,780,400 vs 312,685 km² · Higher wins ↑
Conquered Poland.
Other category comparisons 5 other winning choices
All eight categories for Argentina against Poland
Category
Argentina
Poland
Result
Areakm² · Higher wins ↑ · Chosen
2,780,400
312,685
Would win
Populationpeople · Higher wins ↑
45,538,401
36,687,353
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
48,473
Would lose
Densityper km² · Higher wins ↑
16.4
117.3
Would lose
Highest peakm · Higher wins ↑
6,962
2,499
Would win
Coastlinekm · Higher wins ↑
4,989
440
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
51.9° N
Would win
16
Round 16Won26 countries · 3 lives left
North KoreavsSerbia
Population: 26,418,204 vs 6,623,183 people · Higher wins ↑
Conquered Serbia.
Other category comparisons 5 other winning choices
All eight categories for North Korea against Serbia
Category
North Korea
Serbia
Result
Areakm² · Higher wins ↑
120,538
77,474
Would win
Populationpeople · Higher wins ↑ · Chosen
26,418,204
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
29,777
Unavailable
Densityper km² · Higher wins ↑
219.2
85.5
Would win
Highest peakm · Higher wins ↑
2,744
2,169
Would win
Coastlinekm · Higher wins ↑
2,495
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
44.2° N
Would win
17
Round 17Won27 countries · 3 lives left
LibyavsEl Salvador
Area: 1,759,540 vs 21,041 km² · Higher wins ↑
Conquered El Salvador.
Other category comparisons 3 other winning choices
All eight categories for Libya against El Salvador
Category
Libya
El Salvador
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
21,041
Would win
Populationpeople · Higher wins ↑
7,305,659
6,309,624
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
12,667
Would win
Densityper km² · Higher wins ↑
4.2
299.9
Would lose
Highest peakm · Higher wins ↑
2,267
2,730
Would lose
Coastlinekm · Higher wins ↑
1,770
307
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
13.9° N
Would lose
18
Round 18Won28 countries · 3 lives left
PakistanvsEthiopia
Population: 247,504,495 vs 128,691,692 people · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 4 other winning choices
All eight categories for Pakistan against Ethiopia
Category
Pakistan
Ethiopia
Result
Areakm² · Higher wins ↑
796,095
1,104,300
Would lose
Populationpeople · Higher wins ↑ · Chosen
247,504,495
128,691,692
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
3,063
Would win
Densityper km² · Higher wins ↑
310.9
116.5
Would win
Highest peakm · Higher wins ↑
8,611
4,550
Would win
Coastlinekm · Higher wins ↑
1,046
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
8.5° N
Would lose
19
Round 19Won29 countries · 3 lives left
CzechiavsNetherlands
Area: 78,867 vs 41,543 km² · Higher wins ↑
Conquered Netherlands.
Other category comparisons 2 other winning choices
All eight categories for Czechia against Netherlands
Category
Czechia
Netherlands
Result
Areakm² · Higher wins ↑ · Chosen
78,867
41,543
Would win
Populationpeople · Higher wins ↑
10,864,042
17,877,117
Would lose
Wealth per personint’l $ · Higher wins ↑
56,062
80,392
Would lose
Densityper km² · Higher wins ↑
137.8
430.3
Would lose
Highest peakm · Higher wins ↑
1,602
322
Would win
Coastlinekm · Higher wins ↑
0
451
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
52.2° N
Would win
20
Round 20Won30 countries · 3 lives left
IndiavsRussia
Population: 1,438,069,596 vs 143,826,130 people · Higher wins ↑
Conquered Russia.
Other category comparisons 4 other winning choices
All eight categories for India against Russia
Category
India
Russia
Result
Areakm² · Higher wins ↑
3,287,263
17,098,242
Would lose
Populationpeople · Higher wins ↑ · Chosen
1,438,069,596
143,826,130
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
44,299
Would lose
Densityper km² · Higher wins ↑
437.5
8.4
Would win
Highest peakm · Higher wins ↑
8,586
5,642
Would win
Coastlinekm · Higher wins ↑
7,000
37,653
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Israelvs
Guinea
Argentina
North Korea
Libya
Pakistan
Czechia
India
New Zealand
Bosnia and Herzegovina
Croatia
Cameroon
Peru
Malaysia
Solomon Islands
Switzerland
Spain
Qatar
Central African Republic
Timor-Leste
Bahamas
Thailand
South Sudan
Philippines
Panama
Sri Lanka
Poland
Serbia
El Salvador
Ethiopia
Netherlands
Russia