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Untimed expedition · Data edition 01051846d672
55Wins
2Losses
1Ties
Explore the final empire · 66 countries
No countries match your search.
The path through the world
One choice at a time.
58 rounds
Where it began · 12 countries
North Macedonia · Yemen · Italy · Mongolia · Algeria · Türkiye · Pakistan · Costa Rica · Papua New Guinea · Cambodia · Chile · Lithuania
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
21
Round 21Won33 countries · 4 lives left
AlgeriavsCuba
Area: 2,381,740 vs 110,860 km² · Higher wins ↑
Conquered Cuba.
Other category comparisons 2 other winning choices
All eight categories for Algeria against Cuba
Category
Algeria
Cuba
Result
Areakm² · Higher wins ↑ · Chosen
2,381,740
110,860
Would win
Populationpeople · Higher wins ↑
46,164,219
11,019,931
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
16,838
Unavailable
Unavailable
Densityper km² · Higher wins ↑
19.4
99.4
Would lose
Highest peakm · Higher wins ↑
2,908
1,974
Would win
Coastlinekm · Higher wins ↑
998
3,735
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.4° N
20.6° N
Would lose
22
Round 22Won34 countries · 4 lives left
HaitivsSenegal
Density: 419.4 vs 91.9 per km² · Higher wins ↑
Conquered Senegal.
Other category comparisons 3 other winning choices
All eight categories for Haiti against Senegal
Category
Haiti
Senegal
Result
Areakm² · Higher wins ↑
27,750
196,722
Would lose
Populationpeople · Higher wins ↑
11,637,398
18,077,573
Would lose
Wealth per personint’l $ · Higher wins ↑
3,265
4,782
Would lose
Densityper km² · Higher wins ↑ · Chosen
419.4
91.9
Would win
Highest peakm · Higher wins ↑
2,674
648
Would win
Coastlinekm · Higher wins ↑
1,771
531
Would win
Flag colourscolours · Higher wins ↑
7
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.2° N
15.2° N
Would lose
23
Round 23Won35 countries · 4 lives left
TürkiyevsGambia
Population: 85,325,965 vs 2,697,845 people · Higher wins ↑
Conquered Gambia.
Other category comparisons 4 other winning choices
All eight categories for Türkiye against Gambia
Category
Türkiye
Gambia
Result
Areakm² · Higher wins ↑
783,562
11,300
Would win
Populationpeople · Higher wins ↑ · Chosen
85,325,965
2,697,845
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
3,292
Would win
Densityper km² · Higher wins ↑
108.9
238.7
Would lose
Highest peakm · Higher wins ↑
5,137
63
Would win
Coastlinekm · Higher wins ↑
7,200
80
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
13.6° N
Would lose
24
Round 24Won36 countries · 4 lives left
BurundivsKuwait
Density: 491.9 vs 272.4 per km² · Higher wins ↑
Conquered Kuwait.
Other category comparisons 4 other winning choices
All eight categories for Burundi against Kuwait
Category
Burundi
Kuwait
Result
Areakm² · Higher wins ↑
27,830
17,818
Would win
Populationpeople · Higher wins ↑
13,689,450
4,853,420
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
53,083
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
272.4
Would win
Highest peakm · Higher wins ↑
2,685
300
Would win
Coastlinekm · Higher wins ↑
0
499
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
29.4° N
Would win
25
Round 25Won37 countries · 4 lives left
PakistanvsIreland
Population: 247,504,495 vs 5,311,538 people · Higher wins ↑
Conquered Ireland.
Other category comparisons 4 other winning choices
All eight categories for Pakistan against Ireland
Category
Pakistan
Ireland
Result
Areakm² · Higher wins ↑
796,095
70,273
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
5,311,538
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
133,440
Would lose
Densityper km² · Higher wins ↑
310.9
75.6
Would win
Highest peakm · Higher wins ↑
8,611
1,041
Would win
Coastlinekm · Higher wins ↑
1,046
1,448
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
53.1° N
Would win
26
Round 26Won38 countries · 4 lives left
TogovsBosnia and Herzegovina
Proximity to equator: 8.9° N vs 44.1° N from the equator · Closer wins ↓
Conquered Bosnia and Herzegovina.
Other category comparisons 5 other winning choices
All eight categories for Togo against Bosnia and Herzegovina
Category
Togo
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑
56,785
51,197
Would win
Populationpeople · Higher wins ↑
8,223,850
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑
3,572
23,376
Would lose
Densityper km² · Higher wins ↑
144.8
62.2
Would win
Highest peakm · Higher wins ↑
986
2,386
Would lose
Coastlinekm · Higher wins ↑
56
20
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° N
44.1° N
Would win
27
Round 27Won39 countries · 4 lives left
Costa RicavsUruguay
Proximity to equator: 10.1° N vs 32.9° S from the equator · Closer wins ↓
Conquered Uruguay.
Other category comparisons 4 other winning choices
All eight categories for Costa Rica against Uruguay
Category
Costa Rica
Uruguay
Result
Areakm² · Higher wins ↑
51,100
176,215
Would lose
Populationpeople · Higher wins ↑
5,105,525
3,388,081
Would win
Wealth per personint’l $ · Higher wins ↑
29,248
34,546
Would lose
Densityper km² · Higher wins ↑
99.9
19.2
Would win
Highest peakm · Higher wins ↑
3,819
514
Would win
Coastlinekm · Higher wins ↑
1,290
660
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.1° N
32.9° S
Would win
28
Round 28Won40 countries · 4 lives left
AfghanistanvsZambia
Highest peak: 7,492 vs 2,330 m · Higher wins ↑
Conquered Zambia.
Other category comparisons 3 other winning choices
All eight categories for Afghanistan against Zambia
Category
Afghanistan
Zambia
Result
Areakm² · Higher wins ↑
652,230
752,618
Would lose
Populationpeople · Higher wins ↑
41,454,761
20,723,965
Would win
Wealth per personint’l $ · Higher wins ↑
2,204
4,080
Would lose
Densityper km² · Higher wins ↑
63.6
27.5
Would win
Highest peakm · Higher wins ↑ · Chosen
7,492
2,330
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
14.7° S
Would lose
29
Round 29Won41 countries · 4 lives left
Papua New GuineavsChad
Density: 22.4 vs 15.0 per km² · Higher wins ↑
Conquered Chad.
Other category comparisons 5 other winning choices
All eight categories for Papua New Guinea against Chad
Category
Papua New Guinea
Chad
Result
Areakm² · Higher wins ↑
462,840
1,284,000
Would lose
Populationpeople · Higher wins ↑
10,389,635
19,319,064
Would lose
Wealth per personint’l $ · Higher wins ↑
4,672
2,703
Would win
Densityper km² · Higher wins ↑ · Chosen
22.4
15.0
Would win
Highest peakm · Higher wins ↑
4,509
3,445
Would win
Coastlinekm · Higher wins ↑
5,152
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
17.3° N
Would win
30
Round 30Won42 countries · 4 lives left
LuxembourgvsTimor-Leste
Wealth per person: 152,596 vs 4,811 int’l $ · Higher wins ↑
Conquered Timor-Leste.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against Timor-Leste
Category
Luxembourg
Timor-Leste
Result
Areakm² · Higher wins ↑
2,586
14,874
Would lose
Populationpeople · Higher wins ↑
666,430
1,384,286
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
4,811
Would win
Densityper km² · Higher wins ↑
257.7
93.1
Would win
Highest peakm · Higher wins ↑
559
2,963
Would lose
Coastlinekm · Higher wins ↑
0
706
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
8.9° S
Would lose
31
Round 31Won43 countries · 4 lives left
CambodiavsEswatini
Population: 17,423,880 vs 1,230,506 people · Higher wins ↑
Conquered Eswatini.
Other category comparisons 4 other winning choices
All eight categories for Cambodia against Eswatini
Category
Cambodia
Eswatini
Result
Areakm² · Higher wins ↑
181,035
17,364
Would win
Populationpeople · Higher wins ↑ · Chosen
17,423,880
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
7,437
11,309
Would lose
Densityper km² · Higher wins ↑
96.2
70.9
Would win
Highest peakm · Higher wins ↑
1,810
1,862
Would lose
Coastlinekm · Higher wins ↑
443
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
26.6° S
Would win
32
Round 32Won44 countries · 4 lives left
JamaicavsMauritania
Density: 258.4 vs 4.9 per km² · Higher wins ↑
Conquered Mauritania.
Other category comparisons 4 other winning choices
All eight categories for Jamaica against Mauritania
Category
Jamaica
Mauritania
Result
Areakm² · Higher wins ↑
10,991
1,030,700
Would lose
Populationpeople · Higher wins ↑
2,839,786
5,022,441
Would lose
Wealth per personint’l $ · Higher wins ↑
12,661
6,972
Would win
Densityper km² · Higher wins ↑ · Chosen
258.4
4.9
Would win
Highest peakm · Higher wins ↑
2,256
915
Would win
Coastlinekm · Higher wins ↑
1,022
754
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
18.1° N
19.4° N
Would win
33
Round 33Won45 countries · 4 lives left
ChilevsSouth Korea
Coastline: 6,435 vs 2,413 km · Higher wins ↑
Conquered South Korea.
Other category comparisons 3 other winning choices
All eight categories for Chile against South Korea
Category
Chile
South Korea
Result
Areakm² · Higher wins ↑
756,102
99,720
Would win
Populationpeople · Higher wins ↑
19,658,835
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑
33,174
57,430
Would lose
Densityper km² · Higher wins ↑
26.0
518.6
Would lose
Highest peakm · Higher wins ↑
6,893
1,950
Would win
Coastlinekm · Higher wins ↑ · Chosen
6,435
2,413
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
36.3° N
Would win
34
Round 34Won46 countries · 4 lives left
MoroccovsBangladesh
Wealth per person: 9,903 vs 9,155 int’l $ · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 3 other winning choices
All eight categories for Morocco against Bangladesh
Category
Morocco
Bangladesh
Result
Areakm² · Higher wins ↑
446,550
148,460
Would win
Populationpeople · Higher wins ↑
37,712,505
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
9,903
9,155
Would win
Densityper km² · Higher wins ↑
84.5
1,155.0
Would lose
Highest peakm · Higher wins ↑
4,165
1,060
Would win
Coastlinekm · Higher wins ↑
1,835
580
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
24.3° N
Would lose
35
Round 35Won47 countries · 4 lives left
LithuaniavsGhana
Wealth per person: 52,720 vs 7,563 int’l $ · Higher wins ↑
Conquered Ghana.
Other category comparisons 0 other winning choices
All eight categories for Lithuania against Ghana
Category
Lithuania
Ghana
Result
Areakm² · Higher wins ↑
65,300
238,533
Would lose
Populationpeople · Higher wins ↑
2,871,585
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
7,563
Would win
Densityper km² · Higher wins ↑
44.0
141.6
Would lose
Highest peakm · Higher wins ↑
294
885
Would lose
Coastlinekm · Higher wins ↑
90
539
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
7.0° N
Would lose
36
Round 36Won48 countries · 4 lives left
IcelandvsArmenia
Wealth per person: 82,257 vs 21,552 int’l $ · Higher wins ↑
Conquered Armenia.
Other category comparisons 2 other winning choices
All eight categories for Iceland against Armenia
Category
Iceland
Armenia
Result
Areakm² · Higher wins ↑
103,000
29,743
Would win
Populationpeople · Higher wins ↑
385,663
2,964,300
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
21,552
Would win
Densityper km² · Higher wins ↑
3.7
99.7
Would lose
Highest peakm · Higher wins ↑
2,110
4,090
Would lose
Coastlinekm · Higher wins ↑
4,970
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
40.6° N
Would lose
37
Round 37Lost47 countries · 3 lives left
North MacedoniavsNorth Korea
Flag colours: 2 vs 3 colours · Higher wins ↑
Returned to the world: North Macedonia.
Other category comparisons 1 other winning choice
All eight categories for North Macedonia against North Korea
Category
North Macedonia
North Korea
Result
Areakm² · Higher wins ↑
25,713
120,538
Would lose
Populationpeople · Higher wins ↑
1,827,816
26,418,204
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
25,354
Unavailable
Unavailable
Densityper km² · Higher wins ↑
71.1
219.2
Would lose
Highest peakm · Higher wins ↑
2,764
2,744
Would win
Coastlinekm · Higher wins ↑
0
2,495
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
39.9° N
Would lose
38
Round 38Won48 countries · 3 lives left
PolandvsBrazil
Density: 117.3 vs 24.8 per km² · Higher wins ↑
Conquered Brazil.
Other category comparisons 1 other winning choice
All eight categories for Poland against Brazil
Category
Poland
Brazil
Result
Areakm² · Higher wins ↑
312,685
8,515,770
Would lose
Populationpeople · Higher wins ↑
36,687,353
211,140,729
Would lose
Wealth per personint’l $ · Higher wins ↑
48,473
21,193
Would win
Densityper km² · Higher wins ↑ · Chosen
117.3
24.8
Would win
Highest peakm · Higher wins ↑
2,499
2,994
Would lose
Coastlinekm · Higher wins ↑
440
7,491
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
12.6° S
Would lose
39
Round 39Won49 countries · 3 lives left
BoliviavsMalaysia
Highest peak: 6,542 vs 4,095 m · Higher wins ↑
Conquered Malaysia.
Other category comparisons 2 other winning choices
All eight categories for Bolivia against Malaysia
Category
Bolivia
Malaysia
Result
Areakm² · Higher wins ↑
1,098,581
329,847
Would win
Populationpeople · Higher wins ↑
12,244,159
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑
12,903
36,497
Would lose
Densityper km² · Higher wins ↑
11.1
106.5
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,542
4,095
Would win
Coastlinekm · Higher wins ↑
0
4,675
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.7° S
4.4° N
Would lose
40
Round 40Won50 countries · 3 lives left
CroatiavsNew Zealand
Density: 68.2 vs 19.3 per km² · Higher wins ↑
Conquered New Zealand.
Other category comparisons 1 other winning choice
All eight categories for Croatia against New Zealand
Category
Croatia
New Zealand
Result
Areakm² · Higher wins ↑
56,594
268,838
Would lose
Populationpeople · Higher wins ↑
3,859,686
5,200,000
Would lose
Wealth per personint’l $ · Higher wins ↑
47,760
54,950
Would lose
Densityper km² · Higher wins ↑ · Chosen
68.2
19.3
Would win
Highest peakm · Higher wins ↑
1,831
3,724
Would lose
Coastlinekm · Higher wins ↑
5,835
15,134
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓