Sign up to keep your history → Your games from this browser come with you. Confirm your email to add eligible scores to the highscores.
Untimed expedition · Data edition 01051846d672
156Wins
4Losses
1Ties
Explore the final empire · 165 countries
No countries match your search.
The path through the world
One choice at a time.
161 rounds
Where it began · 12 countries
United Kingdom · Lithuania · Dominican Republic · Comoros · Norway · Argentina · Timor-Leste · Mauritius · South Korea · Palestine · Togo · Tanzania
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
61
Round 61Won71 countries · 3 lives left
Timor-LestevsDR Congo
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered DR Congo.
Other category comparisons 3 other winning choices
All eight categories for Timor-Leste against DR Congo
Category
Timor-Leste
DR Congo
Result
Areakm² · Higher wins ↑
14,874
2,344,858
Would lose
Populationpeople · Higher wins ↑
1,384,286
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
1,732
Would win
Densityper km² · Higher wins ↑
93.1
45.1
Would win
Highest peakm · Higher wins ↑
2,963
5,110
Would lose
Coastlinekm · Higher wins ↑
706
37
Would win
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
1.9° S
Would lose
62
Round 62Won72 countries · 3 lives left
GambiavsSingapore
Area: 11,300 vs 719 km² · Higher wins ↑
Conquered Singapore.
Other category comparisons 1 other winning choice
All eight categories for Gambia against Singapore
Category
Gambia
Singapore
Result
Areakm² · Higher wins ↑ · Chosen
11,300
719
Would win
Populationpeople · Higher wins ↑
2,697,845
5,917,648
Would lose
Wealth per personint’l $ · Higher wins ↑
3,292
144,728
Would lose
Densityper km² · Higher wins ↑
238.7
8,230.4
Would lose
Highest peakm · Higher wins ↑
63
166
Would lose
Coastlinekm · Higher wins ↑
80
193
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.6° N
1.4° N
Would lose
63
Round 63Won73 countries · 3 lives left
BangladeshvsCabo Verde
Population: 171,466,990 vs 522,331 people · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 2 other winning choices
All eight categories for Bangladesh against Cabo Verde
Category
Bangladesh
Cabo Verde
Result
Areakm² · Higher wins ↑
148,460
4,033
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
10,251
Would lose
Densityper km² · Higher wins ↑
1,155.0
129.5
Would win
Highest peakm · Higher wins ↑
1,060
2,829
Would lose
Coastlinekm · Higher wins ↑
580
965
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
15.0° N
Would lose
64
Round 64Won74 countries · 3 lives left
IcelandvsSpain
Wealth per person: 82,257 vs 55,661 int’l $ · Higher wins ↑
Conquered Spain.
Other category comparisons 1 other winning choice
All eight categories for Iceland against Spain
Category
Iceland
Spain
Result
Areakm² · Higher wins ↑
103,000
505,370
Would lose
Populationpeople · Higher wins ↑
385,663
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
55,661
Would win
Densityper km² · Higher wins ↑
3.7
95.7
Would lose
Highest peakm · Higher wins ↑
2,110
3,718
Would lose
Coastlinekm · Higher wins ↑
4,970
4,964
Would win
Flag colourscolours · Higher wins ↑
3
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
40.0° N
Would lose
65
Round 65Won75 countries · 3 lives left
MauritiusvsGermany
Proximity to equator: 20.3° S vs 51.0° N from the equator · Closer wins ↓
Conquered Germany.
Other category comparisons 2 other winning choices
All eight categories for Mauritius against Germany
Category
Mauritius
Germany
Result
Areakm² · Higher wins ↑
2,040
357,022
Would lose
Populationpeople · Higher wins ↑
1,248,647
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
29,403
72,262
Would lose
Densityper km² · Higher wins ↑
612.1
233.3
Would win
Highest peakm · Higher wins ↑
828
2,963
Would lose
Coastlinekm · Higher wins ↑
177
2,389
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
20.3° S
51.0° N
Would win
66
Round 66Won76 countries · 3 lives left
AlbaniavsCanada
Density: 83.9 vs 4.0 per km² · Higher wins ↑
Conquered Canada.
Other category comparisons 1 other winning choice
All eight categories for Albania against Canada
Category
Albania
Canada
Result
Areakm² · Higher wins ↑
28,748
9,984,670
Would lose
Populationpeople · Higher wins ↑
2,411,658
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
24,848
64,962
Would lose
Densityper km² · Higher wins ↑ · Chosen
83.9
4.0
Would win
Highest peakm · Higher wins ↑
2,764
5,959
Would lose
Coastlinekm · Higher wins ↑
362
202,080
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.7° N
58.8° N
Would win
67
Round 67Won77 countries · 3 lives left
FrancevsNiger
Population: 65,925,961 vs 26,159,867 people · Higher wins ↑
Conquered Niger.
Other category comparisons 4 other winning choices
All eight categories for France against Niger
Category
France
Niger
Result
Areakm² · Higher wins ↑
551,500
1,267,000
Would lose
Populationpeople · Higher wins ↑ · Chosen
65,925,961
26,159,867
Would win
Wealth per personint’l $ · Higher wins ↑
60,927
1,903
Would win
Densityper km² · Higher wins ↑
119.5
20.6
Would win
Highest peakm · Higher wins ↑
4,810
2,022
Would win
Coastlinekm · Higher wins ↑
3,427
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
17.6° N
Would lose
68
Round 68Won78 countries · 3 lives left
LiberiavsAlgeria
Density: 49.3 vs 19.4 per km² · Higher wins ↑
Conquered Algeria.
Other category comparisons 1 other winning choice
All eight categories for Liberia against Algeria
Category
Liberia
Algeria
Result
Areakm² · Higher wins ↑
111,369
2,381,740
Would lose
Populationpeople · Higher wins ↑
5,493,031
46,164,219
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
16,838
Would lose
Densityper km² · Higher wins ↑ · Chosen
49.3
19.4
Would win
Highest peakm · Higher wins ↑
1,447
2,908
Would lose
Coastlinekm · Higher wins ↑
579
998
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
27.4° N
Would win
69
Round 69Won79 countries · 3 lives left
South KoreavsSwitzerland
Population: 51,712,619 vs 8,888,822 people · Higher wins ↑
Conquered Switzerland.
Other category comparisons 5 other winning choices
All eight categories for South Korea against Switzerland
Category
South Korea
Switzerland
Result
Areakm² · Higher wins ↑
99,720
41,277
Would win
Populationpeople · Higher wins ↑ · Chosen
51,712,619
8,888,822
Would win
Wealth per personint’l $ · Higher wins ↑
57,430
93,940
Would lose
Densityper km² · Higher wins ↑
518.6
215.3
Would win
Highest peakm · Higher wins ↑
1,950
4,634
Would lose
Coastlinekm · Higher wins ↑
2,413
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
36.3° N
46.7° N
Would win
70
Round 70Won80 countries · 3 lives left
Papua New GuineavsNetherlands
Area: 462,840 vs 41,543 km² · Higher wins ↑
Conquered Netherlands.
Other category comparisons 4 other winning choices
All eight categories for Papua New Guinea against Netherlands
Category
Papua New Guinea
Netherlands
Result
Areakm² · Higher wins ↑ · Chosen
462,840
41,543
Would win
Populationpeople · Higher wins ↑
10,389,635
17,877,117
Would lose
Wealth per personint’l $ · Higher wins ↑
4,672
80,392
Would lose
Densityper km² · Higher wins ↑
22.4
430.3
Would lose
Highest peakm · Higher wins ↑
4,509
322
Would win
Coastlinekm · Higher wins ↑
5,152
451
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
52.2° N
Would win
71
Round 71Won81 countries · 3 lives left
IsraelvsCôte d’Ivoire
Density: 449.0 vs 96.6 per km² · Higher wins ↑
Conquered Côte d’Ivoire.
Other category comparisons 2 other winning choices
All eight categories for Israel against Côte d’Ivoire
Category
Israel
Côte d’Ivoire
Result
Areakm² · Higher wins ↑
21,937
322,463
Would lose
Populationpeople · Higher wins ↑
9,849,000
31,165,654
Would lose
Wealth per personint’l $ · Higher wins ↑
55,301
7,243
Would win
Densityper km² · Higher wins ↑ · Chosen
449.0
96.6
Would win
Highest peakm · Higher wins ↑
2,224
1,752
Would win
Coastlinekm · Higher wins ↑
273
515
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
30.9° N
7.5° N
Would lose
72
Round 72Won82 countries · 3 lives left
SloveniavsEstonia
Proximity to equator: 46.0° N vs 58.6° N from the equator · Closer wins ↓
Conquered Estonia.
Other category comparisons 5 other winning choices
All eight categories for Slovenia against Estonia
Category
Slovenia
Estonia
Result
Areakm² · Higher wins ↑
20,273
45,228
Would lose
Populationpeople · Higher wins ↑
2,120,461
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
56,151
48,848
Would win
Densityper km² · Higher wins ↑
104.6
30.3
Would win
Highest peakm · Higher wins ↑
2,864
318
Would win
Coastlinekm · Higher wins ↑
46.6
3,794
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
46.0° N
58.6° N
Would win
73
Round 73Won83 countries · 3 lives left
PalestinevsSudan
Density: 830.5 vs 26.9 per km² · Higher wins ↑
Conquered Sudan.
Other category comparisons 1 other winning choice
All eight categories for Palestine against Sudan
Category
Palestine
Sudan
Result
Areakm² · Higher wins ↑
6,220
1,861,484
Would lose
Populationpeople · Higher wins ↑
5,165,775
50,042,791
Would lose
Wealth per personint’l $ · Higher wins ↑
6,179
2,423
Would win
Densityper km² · Higher wins ↑ · Chosen
830.5
26.9
Would win
Highest peakm · Higher wins ↑
1,020
3,042
Would lose
Coastlinekm · Higher wins ↑
40
853
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
16.6° N
Would lose
74
Round 74Won84 countries · 3 lives left
ItalyvsIreland
Population: 58,984,216 vs 5,311,538 people · Higher wins ↑
Conquered Ireland.
Other category comparisons 5 other winning choices
All eight categories for Italy against Ireland
Category
Italy
Ireland
Result
Areakm² · Higher wins ↑
301,340
70,273
Would win
Populationpeople · Higher wins ↑ · Chosen
58,984,216
5,311,538
Would win
Wealth per personint’l $ · Higher wins ↑
60,350
133,440
Would lose
Densityper km² · Higher wins ↑
195.7
75.6
Would win
Highest peakm · Higher wins ↑
4,748
1,041
Would win
Coastlinekm · Higher wins ↑
7,600
1,448
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
53.1° N
Would win
75
Round 75Won85 countries · 3 lives left
UruguayvsEgypt
Wealth per person: 34,546 vs 18,540 int’l $ · Higher wins ↑
Conquered Egypt.
Other category comparisons 0 other winning choices
All eight categories for Uruguay against Egypt
Category
Uruguay
Egypt
Result
Areakm² · Higher wins ↑
176,215
1,001,450
Would lose
Populationpeople · Higher wins ↑
3,388,081
114,535,772
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
34,546
18,540
Would win
Densityper km² · Higher wins ↑
19.2
114.4
Would lose
Highest peakm · Higher wins ↑
514
2,629
Would lose
Coastlinekm · Higher wins ↑
660
2,450
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.9° S
26.3° N
Would lose
76
Round 76Won86 countries · 3 lives left
Guinea-BissauvsSouth Africa
Proximity to equator: 12.1° N vs 30.2° S from the equator · Closer wins ↓
Conquered South Africa.
Other category comparisons 1 other winning choice
All eight categories for Guinea-Bissau against South Africa
Category
Guinea-Bissau
South Africa
Result
Areakm² · Higher wins ↑
36,125
1,219,090
Would lose
Populationpeople · Higher wins ↑
2,153,339
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
15,212
Would lose
Densityper km² · Higher wins ↑
59.6
51.9
Would win
Highest peakm · Higher wins ↑
277
3,450
Would lose
Coastlinekm · Higher wins ↑
350
2,798
Would lose
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.1° N
30.2° S
Would win
77
Round 77Won87 countries · 3 lives left
TogovsNamibia
Density: 144.8 vs 3.6 per km² · Higher wins ↑
Conquered Namibia.
Other category comparisons 2 other winning choices
All eight categories for Togo against Namibia
Category
Togo
Namibia
Result
Areakm² · Higher wins ↑
56,785
824,292
Would lose
Populationpeople · Higher wins ↑
8,223,850
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
3,572
11,248
Would lose
Densityper km² · Higher wins ↑ · Chosen
144.8
3.6
Would win
Highest peakm · Higher wins ↑
986
2,573
Would lose
Coastlinekm · Higher wins ↑
56
1,572
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.9° N
20.6° S
Would win
78
Round 78Won88 countries · 3 lives left
GuineavsNorth Korea
Proximity to equator: 10.7° N vs 39.9° N from the equator · Closer wins ↓
Conquered North Korea.
Other category comparisons 1 other winning choice
All eight categories for Guinea against North Korea
Category
Guinea
North Korea
Result
Areakm² · Higher wins ↑
245,857
120,538
Would win
Populationpeople · Higher wins ↑
14,405,468
26,418,204
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
4,337
Unavailable
Unavailable
Densityper km² · Higher wins ↑
58.6
219.2
Would lose
Highest peakm · Higher wins ↑
1,752
2,744
Would lose
Coastlinekm · Higher wins ↑
320
2,495
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.7° N
39.9° N
Would win
79
Round 79Won89 countries · 3 lives left
NicaraguavsCzechia
Proximity to equator: 12.6° N vs 49.8° N from the equator · Closer wins ↓
Conquered Czechia.
Other category comparisons 4 other winning choices
All eight categories for Nicaragua against Czechia
Category
Nicaragua
Czechia
Result
Areakm² · Higher wins ↑
130,370
78,867
Would win
Populationpeople · Higher wins ↑
6,823,613
10,864,042
Would lose
Wealth per personint’l $ · Higher wins ↑
8,327
56,062
Would lose
Densityper km² · Higher wins ↑
52.3
137.8
Would lose
Highest peakm · Higher wins ↑
2,085
1,602
Would win
Coastlinekm · Higher wins ↑
910
0
Would win
Flag colourscolours · Higher wins ↑
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.6° N
49.8° N
Would win
80
Round 80Won90 countries · 3 lives left
MontenegrovsMongolia
Density: 45.1 vs 2.2 per km² · Higher wins ↑
Conquered Mongolia.
Other category comparisons 4 other winning choices
All eight categories for Montenegro against Mongolia
Category
Montenegro
Mongolia
Result
Areakm² · Higher wins ↑
13,812
1,564,116
Would lose
Populationpeople · Higher wins ↑
623,529
3,481,145
Would lose
Wealth per personint’l $ · Higher wins ↑
31,863
18,020
Would win
Densityper km² · Higher wins ↑ · Chosen
45.1
2.2
Would win
Highest peakm · Higher wins ↑
2,534
4,374
Would lose
Coastlinekm · Higher wins ↑
293.5
0
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓