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Untimed expedition · Data edition 01051846d672
51Wins
4Losses
1Ties
Explore the final empire · 60 countries
No countries match your search.
The path through the world
One choice at a time.
56 rounds
Where it began · 12 countries
South Africa · Mozambique · Malawi · Belize · Senegal · Argentina · Gambia · Papua New Guinea · Bosnia and Herzegovina · Brazil · Liberia · Yemen
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
SenegalvsGeorgia
Coastline: 531 vs 310 km · Higher wins ↑
Conquered Georgia.
Other category comparisons 5 other winning choices
All eight categories for Senegal against Georgia
Category
Senegal
Georgia
Result
Areakm² · Higher wins ↑
196,722
69,700
Would win
Populationpeople · Higher wins ↑
18,077,573
3,715,483
Would win
Wealth per personint’l $ · Higher wins ↑
4,782
25,093
Would lose
Densityper km² · Higher wins ↑
91.9
53.3
Would win
Highest peakm · Higher wins ↑
648
5,193
Would lose
Coastlinekm · Higher wins ↑ · Chosen
531
310
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.2° N
42.4° N
Would win
22
Round 22Won34 countries · 4 lives left
LesothovsMexico
Density: 76.1 vs 66.0 per km² · Higher wins ↑
Conquered Mexico.
Other category comparisons 0 other winning choices
All eight categories for Lesotho against Mexico
Category
Lesotho
Mexico
Result
Areakm² · Higher wins ↑
30,355
1,964,375
Would lose
Populationpeople · Higher wins ↑
2,311,472
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑
2,880
25,188
Would lose
Densityper km² · Higher wins ↑ · Chosen
76.1
66.0
Would win
Highest peakm · Higher wins ↑
3,482
5,636
Would lose
Coastlinekm · Higher wins ↑
0
9,330
Would lose
Flag colourscolours · Higher wins ↑
4
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
29.4° S
23.5° N
Would lose
23
Round 23Won35 countries · 4 lives left
ArgentinavsMontenegro
Area: 2,780,400 vs 13,812 km² · Higher wins ↑
Conquered Montenegro.
Other category comparisons 4 other winning choices
All eight categories for Argentina against Montenegro
Category
Argentina
Montenegro
Result
Areakm² · Higher wins ↑ · Chosen
2,780,400
13,812
Would win
Populationpeople · Higher wins ↑
45,538,401
623,529
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
31,863
Would lose
Densityper km² · Higher wins ↑
16.4
45.1
Would lose
Highest peakm · Higher wins ↑
6,962
2,534
Would win
Coastlinekm · Higher wins ↑
4,989
293.5
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
42.8° N
Would win
24
Round 24Won36 countries · 4 lives left
TanzaniavsCyprus
Area: 947,300 vs 9,251 km² · Higher wins ↑
Conquered Cyprus.
Other category comparisons 5 other winning choices
All eight categories for Tanzania against Cyprus
Category
Tanzania
Cyprus
Result
Areakm² · Higher wins ↑ · Chosen
947,300
9,251
Would win
Populationpeople · Higher wins ↑
66,617,606
1,344,976
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
59,875
Would lose
Densityper km² · Higher wins ↑
70.3
145.4
Would lose
Highest peakm · Higher wins ↑
5,895
1,951
Would win
Coastlinekm · Higher wins ↑
1,424
648
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
34.9° N
Would win
25
Round 25Won37 countries · 4 lives left
GambiavsSlovenia
Proximity to equator: 13.6° N vs 46.0° N from the equator · Closer wins ↓
Conquered Slovenia.
Other category comparisons 3 other winning choices
All eight categories for Gambia against Slovenia
Category
Gambia
Slovenia
Result
Areakm² · Higher wins ↑
11,300
20,273
Would lose
Populationpeople · Higher wins ↑
2,697,845
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
3,292
56,151
Would lose
Densityper km² · Higher wins ↑
238.7
104.6
Would win
Highest peakm · Higher wins ↑
63
2,864
Would lose
Coastlinekm · Higher wins ↑
80
46.6
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.6° N
46.0° N
Would win
26
Round 26Won38 countries · 4 lives left
ZambiavsParaguay
Proximity to equator: 14.7° S vs 21.6° S from the equator · Closer wins ↓
Conquered Paraguay.
Other category comparisons 4 other winning choices
All eight categories for Zambia against Paraguay
Category
Zambia
Paraguay
Result
Areakm² · Higher wins ↑
752,618
406,752
Would win
Populationpeople · Higher wins ↑
20,723,965
6,844,146
Would win
Wealth per personint’l $ · Higher wins ↑
4,080
17,585
Would lose
Densityper km² · Higher wins ↑
27.5
16.8
Would win
Highest peakm · Higher wins ↑
2,330
842
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.7° S
21.6° S
Would win
27
Round 27Won39 countries · 4 lives left
Papua New GuineavsLuxembourg
Coastline: 5,152 vs 0 km · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 5 other winning choices
All eight categories for Papua New Guinea against Luxembourg
Category
Papua New Guinea
Luxembourg
Result
Areakm² · Higher wins ↑
462,840
2,586
Would win
Populationpeople · Higher wins ↑
10,389,635
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
4,672
152,596
Would lose
Densityper km² · Higher wins ↑
22.4
257.7
Would lose
Highest peakm · Higher wins ↑
4,509
559
Would win
Coastlinekm · Higher wins ↑ · Chosen
5,152
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
49.7° N
Would win
28
Round 28Won40 countries · 4 lives left
BangladeshvsIsrael
Population: 171,466,990 vs 9,849,000 people · Higher wins ↑
Conquered Israel.
Other category comparisons 4 other winning choices
All eight categories for Bangladesh against Israel
Category
Bangladesh
Israel
Result
Areakm² · Higher wins ↑
148,460
21,937
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
9,849,000
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
55,301
Would lose
Densityper km² · Higher wins ↑
1,155.0
449.0
Would win
Highest peakm · Higher wins ↑
1,060
2,224
Would lose
Coastlinekm · Higher wins ↑
580
273
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
30.9° N
Would win
29
Round 29Tied40 countries · 4 lives left
Bosnia and HerzegovinavsColombia
Flag colours: 3 vs 3 colours · Higher wins ↑
Colombia became contested.
Other category comparisons 2 other winning choices
All eight categories for Bosnia and Herzegovina against Colombia
Category
Bosnia and Herzegovina
Colombia
Result
Areakm² · Higher wins ↑
51,197
1,138,910
Would lose
Populationpeople · Higher wins ↑
3,185,073
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑
23,376
21,282
Would win
Densityper km² · Higher wins ↑
62.2
45.9
Would win
Highest peakm · Higher wins ↑
2,386
5,730
Would lose
Coastlinekm · Higher wins ↑
20
3,208
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
44.1° N
3.4° N
Would lose
30
Round 30Won42 countries · 4 lives left
ComorosvsGuinea-Bissau
Flag colours: 5 vs 4 colours · Higher wins ↑
Conquered Guinea-Bissau, Colombia.
Other category comparisons 4 other winning choices
All eight categories for Comoros against Guinea-Bissau
Category
Comoros
Guinea-Bissau
Result
Areakm² · Higher wins ↑
2,235
36,125
Would lose
Populationpeople · Higher wins ↑
850,387
2,153,339
Would lose
Wealth per personint’l $ · Higher wins ↑
3,897
2,956
Would win
Densityper km² · Higher wins ↑
380.5
59.6
Would win
Highest peakm · Higher wins ↑
2,360
277
Would win
Coastlinekm · Higher wins ↑
340
350
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
11.7° S
12.1° N
Would win
31
Round 31Won43 countries · 4 lives left
BrazilvsSyria
Area: 8,515,770 vs 187,437 km² · Higher wins ↑
Conquered Syria.
Other category comparisons 4 other winning choices
All eight categories for Brazil against Syria
Category
Brazil
Syria
Result
Areakm² · Higher wins ↑ · Chosen
8,515,770
187,437
Would win
Populationpeople · Higher wins ↑
211,140,729
23,594,623
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
21,193
Unavailable
Unavailable
Densityper km² · Higher wins ↑
24.8
125.9
Would lose
Highest peakm · Higher wins ↑
2,994
2,814
Would win
Coastlinekm · Higher wins ↑
7,491
193
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
35.0° N
Would win
32
Round 32Won44 countries · 4 lives left
ChadvsBelarus
Area: 1,284,000 vs 207,600 km² · Higher wins ↑
Conquered Belarus.
Other category comparisons 3 other winning choices
All eight categories for Chad against Belarus
Category
Chad
Belarus
Result
Areakm² · Higher wins ↑ · Chosen
1,284,000
207,600
Would win
Populationpeople · Higher wins ↑
19,319,064
9,178,298
Would win
Wealth per personint’l $ · Higher wins ↑
2,703
30,860
Would lose
Densityper km² · Higher wins ↑
15.0
44.2
Would lose
Highest peakm · Higher wins ↑
3,445
346
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.3° N
53.8° N
Would win
33
Round 33Won45 countries · 4 lives left
LiberiavsSerbia
Coastline: 579 vs 0 km · Higher wins ↑
Conquered Serbia.
Other category comparisons 2 other winning choices
All eight categories for Liberia against Serbia
Category
Liberia
Serbia
Result
Areakm² · Higher wins ↑
111,369
77,474
Would win
Populationpeople · Higher wins ↑
5,493,031
6,623,183
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
29,777
Would lose
Densityper km² · Higher wins ↑
49.3
85.5
Would lose
Highest peakm · Higher wins ↑
1,447
2,169
Would lose
Coastlinekm · Higher wins ↑ · Chosen
579
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
44.2° N
Would win
34
Round 34Won46 countries · 4 lives left
UzbekistanvsGermany
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Germany.
Other category comparisons 3 other winning choices
All eight categories for Uzbekistan against Germany
Category
Uzbekistan
Germany
Result
Areakm² · Higher wins ↑
447,400
357,022
Would win
Populationpeople · Higher wins ↑
35,652,307
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
11,679
72,262
Would lose
Densityper km² · Higher wins ↑
79.7
233.3
Would lose
Highest peakm · Higher wins ↑
4,643
2,963
Would win
Coastlinekm · Higher wins ↑
0
2,389
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
41.5° N
51.0° N
Would win
35
Round 35Won47 countries · 4 lives left
YemenvsJapan
Proximity to equator: 15.3° N vs 36.7° N from the equator · Closer wins ↓
Conquered Japan.
Other category comparisons 2 other winning choices
All eight categories for Yemen against Japan
Category
Yemen
Japan
Result
Areakm² · Higher wins ↑
527,968
377,915
Would win
Populationpeople · Higher wins ↑
39,390,799
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
52,726
Unavailable
Densityper km² · Higher wins ↑
74.6
329.5
Would lose
Highest peakm · Higher wins ↑
3,666
3,776
Would lose
Coastlinekm · Higher wins ↑
1,906
29,751
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.3° N
36.7° N
Would win
36
Round 36Won48 countries · 4 lives left
CzechiavsVietnam
Wealth per person: 56,062 vs 15,034 int’l $ · Higher wins ↑
Conquered Vietnam.
Other category comparisons 1 other winning choice
All eight categories for Czechia against Vietnam
Category
Czechia
Vietnam
Result
Areakm² · Higher wins ↑
78,867
331,210
Would lose
Populationpeople · Higher wins ↑
10,864,042
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
15,034
Would win
Densityper km² · Higher wins ↑
137.8
303.0
Would lose
Highest peakm · Higher wins ↑
1,602
3,144
Would lose
Coastlinekm · Higher wins ↑
0
3,444
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
21.7° N
Would lose
37
Round 37Won49 countries · 4 lives left
South AfricavsSudan
Wealth per person: 15,212 vs 2,423 int’l $ · Higher wins ↑
Conquered Sudan.
Other category comparisons 5 other winning choices
All eight categories for South Africa against Sudan
Category
South Africa
Sudan
Result
Areakm² · Higher wins ↑
1,219,090
1,861,484
Would lose
Populationpeople · Higher wins ↑
63,212,384
50,042,791
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
15,212
2,423
Would win
Densityper km² · Higher wins ↑
51.9
26.9
Would win
Highest peakm · Higher wins ↑
3,450
3,042
Would win
Coastlinekm · Higher wins ↑
2,798
853
Would win
Flag colourscolours · Higher wins ↑
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.2° S
16.6° N
Would lose
38
Round 38Won50 countries · 4 lives left
HaitivsBelgium
Coastline: 1,771 vs 66.5 km · Higher wins ↑
Conquered Belgium.
Other category comparisons 4 other winning choices
All eight categories for Haiti against Belgium
Category
Haiti
Belgium
Result
Areakm² · Higher wins ↑
27,750
30,528
Would lose
Populationpeople · Higher wins ↑
11,637,398
11,779,946
Would lose
Wealth per personint’l $ · Higher wins ↑
3,265
72,630
Would lose
Densityper km² · Higher wins ↑
419.4
385.9
Would win
Highest peakm · Higher wins ↑
2,674
694
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,771
66.5
Would win
Flag colourscolours · Higher wins ↑
7
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.2° N
50.8° N
Would win
39
Round 39Lost49 countries · 3 lives left
GuatemalavsSwitzerland
Highest peak: 4,220 vs 4,634 m · Higher wins ↑
Returned to the world: Guatemala.
Other category comparisons 5 other winning choices
All eight categories for Guatemala against Switzerland
Category
Guatemala
Switzerland
Result
Areakm² · Higher wins ↑
108,889
41,277
Would win
Populationpeople · Higher wins ↑
18,124,838
8,888,822
Would win
Wealth per personint’l $ · Higher wins ↑
13,752
93,940
Would lose
Densityper km² · Higher wins ↑
166.5
215.3
Would lose
Highest peakm · Higher wins ↑ · Chosen
4,220
4,634
Would lose
Coastlinekm · Higher wins ↑
400
0
Would win
Flag colourscolours · Higher wins ↑
9
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
46.7° N
Would win
40
Round 40Won50 countries · 3 lives left
IrelandvsVenezuela
Density: 75.6 vs 31.0 per km² · Higher wins ↑
Conquered Venezuela.
Other category comparisons 0 other winning choices
All eight categories for Ireland against Venezuela
Category
Ireland
Venezuela
Result
Areakm² · Higher wins ↑
70,273
912,050
Would lose
Populationpeople · Higher wins ↑
5,311,538
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
133,440
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
75.6
31.0
Would win
Highest peakm · Higher wins ↑
1,041
4,978
Would lose
Coastlinekm · Higher wins ↑
1,448
2,800
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓