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
71Wins
4Losses
2Ties
Explore the final empire · 81 countries
No countries match your search.
The path through the world
One choice at a time.
77 rounds
Where it began · 12 countries
El Salvador · Belarus · Mongolia · Colombia · Nigeria · Guinea-Bissau · Luxembourg · Brazil · Senegal · Burundi · Morocco · Libya
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 61Won67 countries · 1 life left
AfghanistanvsNetherlands
Highest peak: 7,492 vs 322 m · Higher wins ↑
Conquered Netherlands.
Other category comparisons 4 other winning choices
All eight categories for Afghanistan against Netherlands
Category
Afghanistan
Netherlands
Result
Areakm² · Higher wins ↑
652,230
41,543
Would win
Populationpeople · Higher wins ↑
41,454,761
17,877,117
Would win
Wealth per personint’l $ · Higher wins ↑
2,204
80,392
Would lose
Densityper km² · Higher wins ↑
63.6
430.3
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,492
322
Would win
Coastlinekm · Higher wins ↑
0
451
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
52.2° N
Would win
62
Round 62Won68 countries · 1 life left
MauritaniavsBotswana
Proximity to equator: 19.4° N vs 22.1° S from the equator · Closer wins ↓
Conquered Botswana.
Other category comparisons 4 other winning choices
All eight categories for Mauritania against Botswana
Category
Mauritania
Botswana
Result
Areakm² · Higher wins ↑
1,030,700
581,730
Would win
Populationpeople · Higher wins ↑
5,022,441
2,480,244
Would win
Wealth per personint’l $ · Higher wins ↑
6,972
21,029
Would lose
Densityper km² · Higher wins ↑
4.9
4.3
Would win
Highest peakm · Higher wins ↑
915
1,495
Would lose
Coastlinekm · Higher wins ↑
754
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.4° N
22.1° S
Would win
63
Round 63Won69 countries · 1 life left
SenegalvsPortugal
Proximity to equator: 15.2° N vs 40.7° N from the equator · Closer wins ↓
Conquered Portugal.
Other category comparisons 2 other winning choices
All eight categories for Senegal against Portugal
Category
Senegal
Portugal
Result
Areakm² · Higher wins ↑
196,722
92,090
Would win
Populationpeople · Higher wins ↑
18,077,573
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
4,782
49,800
Would lose
Densityper km² · Higher wins ↑
91.9
114.9
Would lose
Highest peakm · Higher wins ↑
648
2,351
Would lose
Coastlinekm · Higher wins ↑
531
1,793
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
15.2° N
40.7° N
Would win
64
Round 64Won70 countries · 1 life left
New ZealandvsNorway
Highest peak: 3,724 vs 2,469 m · Higher wins ↑
Conquered Norway.
Other category comparisons 2 other winning choices
All eight categories for New Zealand against Norway
Category
New Zealand
Norway
Result
Areakm² · Higher wins ↑
268,838
323,802
Would lose
Populationpeople · Higher wins ↑
5,200,000
5,519,601
Would lose
Wealth per personint’l $ · Higher wins ↑
54,950
107,768
Would lose
Densityper km² · Higher wins ↑
19.3
17.0
Would win
Highest peakm · Higher wins ↑ · Chosen
3,724
2,469
Would win
Coastlinekm · Higher wins ↑
15,134
25,148
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
61.5° N
Would win
65
Round 65Won71 countries · 1 life left
MozambiquevsMalta
Area: 799,380 vs 316 km² · Higher wins ↑
Conquered Malta.
Other category comparisons 5 other winning choices
All eight categories for Mozambique against Malta
Category
Mozambique
Malta
Result
Areakm² · Higher wins ↑ · Chosen
799,380
316
Would win
Populationpeople · Higher wins ↑
33,635,160
552,747
Would win
Wealth per personint’l $ · Higher wins ↑
1,680
67,101
Would lose
Densityper km² · Higher wins ↑
42.1
1,749.2
Would lose
Highest peakm · Higher wins ↑
2,436
253
Would win
Coastlinekm · Higher wins ↑
2,470
196.8
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.0° S
35.9° N
Would win
66
Round 66Won72 countries · 1 life left
GermanyvsNorth Macedonia
Population: 83,287,273 vs 1,827,816 people · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 6 other winning choices
All eight categories for Germany against North Macedonia
Category
Germany
North Macedonia
Result
Areakm² · Higher wins ↑
357,022
25,713
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
25,354
Would win
Densityper km² · Higher wins ↑
233.3
71.1
Would win
Highest peakm · Higher wins ↑
2,963
2,764
Would win
Coastlinekm · Higher wins ↑
2,389
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
41.5° N
Would lose
67
Round 67Won73 countries · 1 life left
BurundivsMoldova
Highest peak: 2,685 vs 430 m · Higher wins ↑
Conquered Moldova.
Other category comparisons 3 other winning choices
All eight categories for Burundi against Moldova
Category
Burundi
Moldova
Result
Areakm² · Higher wins ↑
27,830
33,851
Would lose
Populationpeople · Higher wins ↑
13,689,450
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
17,751
Would lose
Densityper km² · Higher wins ↑
491.9
72.6
Would win
Highest peakm · Higher wins ↑ · Chosen
2,685
430
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
47.5° N
Would win
68
Round 68Tied73 countries · 1 life left
NigervsThailand
Flag colours: 3 vs 3 colours · Higher wins ↑
Thailand became contested.
Other category comparisons 1 other winning choice
All eight categories for Niger against Thailand
Category
Niger
Thailand
Result
Areakm² · Higher wins ↑
1,267,000
513,120
Would win
Populationpeople · Higher wins ↑
26,159,867
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑
1,903
23,598
Would lose
Densityper km² · Higher wins ↑
20.6
139.7
Would lose
Highest peakm · Higher wins ↑
2,022
2,565
Would lose
Coastlinekm · Higher wins ↑
0
3,219
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.6° N
15.5° N
Would lose
69
Round 69Won75 countries · 1 life left
CroatiavsJapan
Flag colours: 6 vs 2 colours · Higher wins ↑
Conquered Japan, Thailand.
Other category comparisons 0 other winning choices
All eight categories for Croatia against Japan
Category
Croatia
Japan
Result
Areakm² · Higher wins ↑
56,594
377,915
Would lose
Populationpeople · Higher wins ↑
3,859,686
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑
47,760
52,726
Would lose
Densityper km² · Higher wins ↑
68.2
329.5
Would lose
Highest peakm · Higher wins ↑
1,831
3,776
Would lose
Coastlinekm · Higher wins ↑
5,835
29,751
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
36.7° N
Would lose
70
Round 70Won76 countries · 1 life left
MexicovsUnited Arab Emirates
Population: 129,739,759 vs 10,483,751 people · Higher wins ↑
Conquered United Arab Emirates.
Other category comparisons 4 other winning choices
All eight categories for Mexico against United Arab Emirates
Category
Mexico
United Arab Emirates
Result
Areakm² · Higher wins ↑
1,964,375
83,600
Would win
Populationpeople · Higher wins ↑ · Chosen
129,739,759
10,483,751
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
78,020
Would lose
Densityper km² · Higher wins ↑
66.0
125.4
Would lose
Highest peakm · Higher wins ↑
5,636
1,905
Would win
Coastlinekm · Higher wins ↑
9,330
1,318
Would win
Flag colourscolours · Higher wins ↑
11
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
23.5° N
Would tie
71
Round 71Won77 countries · 1 life left
MoroccovsLithuania
Population: 37,712,505 vs 2,871,585 people · Higher wins ↑
Conquered Lithuania.
Other category comparisons 5 other winning choices
All eight categories for Morocco against Lithuania
Category
Morocco
Lithuania
Result
Areakm² · Higher wins ↑
446,550
65,300
Would win
Populationpeople · Higher wins ↑ · Chosen
37,712,505
2,871,585
Would win
Wealth per personint’l $ · Higher wins ↑
9,903
52,720
Would lose
Densityper km² · Higher wins ↑
84.5
44.0
Would win
Highest peakm · Higher wins ↑
4,165
294
Would win
Coastlinekm · Higher wins ↑
1,835
90
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
55.1° N
Would win
72
Round 72Won78 countries · 1 life left
MalawivsMauritius
Highest peak: 3,002 vs 828 m · Higher wins ↑
Conquered Mauritius.
Other category comparisons 3 other winning choices
All eight categories for Malawi against Mauritius
Category
Malawi
Mauritius
Result
Areakm² · Higher wins ↑
118,484
2,040
Would win
Populationpeople · Higher wins ↑
21,104,482
1,248,647
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
29,403
Would lose
Densityper km² · Higher wins ↑
178.1
612.1
Would lose
Highest peakm · Higher wins ↑ · Chosen
3,002
828
Would win
Coastlinekm · Higher wins ↑
0
177
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.4° S
20.3° S
Would win
73
Round 73Won79 countries · 1 life left
Timor-LestevsSwitzerland
Proximity to equator: 8.9° S vs 46.7° N from the equator · Closer wins ↓
Conquered Switzerland.
Other category comparisons 2 other winning choices
All eight categories for Timor-Leste against Switzerland
Category
Timor-Leste
Switzerland
Result
Areakm² · Higher wins ↑
14,874
41,277
Would lose
Populationpeople · Higher wins ↑
1,384,286
8,888,822
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
93,940
Would lose
Densityper km² · Higher wins ↑
93.1
215.3
Would lose
Highest peakm · Higher wins ↑
2,963
4,634
Would lose
Coastlinekm · Higher wins ↑
706
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° S
46.7° N
Would win
74
Round 74Won80 countries · 1 life left
Saudi ArabiavsBelize
Wealth per person: 71,624 vs 13,741 int’l $ · Higher wins ↑
Conquered Belize.
Other category comparisons 4 other winning choices
All eight categories for Saudi Arabia against Belize
Category
Saudi Arabia
Belize
Result
Areakm² · Higher wins ↑
2,149,690
22,966
Would win
Populationpeople · Higher wins ↑
33,702,731
411,106
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
71,624
13,741
Would win
Densityper km² · Higher wins ↑
15.7
17.9
Would lose
Highest peakm · Higher wins ↑
3,000
1,124
Would win
Coastlinekm · Higher wins ↑
2,640
386
Would win
Flag colourscolours · Higher wins ↑
2
12
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
17.0° N
Would lose
75
Round 75Won81 countries · 1 life left
LibyavsFrance
Proximity to equator: 26.1° N vs 46.7° N from the equator · Closer wins ↓
Conquered France.
Other category comparisons 2 other winning choices
All eight categories for Libya against France
Category
Libya
France
Result
Areakm² · Higher wins ↑
1,759,540
551,500
Would win
Populationpeople · Higher wins ↑
7,305,659
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
13,858
60,927
Would lose
Densityper km² · Higher wins ↑
4.2
119.5
Would lose
Highest peakm · Higher wins ↑
2,267
4,810
Would lose
Coastlinekm · Higher wins ↑
1,770
3,427
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
26.1° N
46.7° N
Would win
76
Round 76Won82 countries · 1 life left
Sri LankavsBahrain
Coastline: 1,340 vs 161 km · Higher wins ↑
Conquered Bahrain.
Other category comparisons 5 other winning choices
All eight categories for Sri Lanka against Bahrain
Category
Sri Lanka
Bahrain
Result
Areakm² · Higher wins ↑
65,610
760
Would win
Populationpeople · Higher wins ↑
22,037,000
1,577,059
Would win
Wealth per personint’l $ · Higher wins ↑
14,512
64,224
Would lose
Densityper km² · Higher wins ↑
335.9
2,075.1
Would lose
Highest peakm · Higher wins ↑
2,524
135
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,340
161
Would win
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.1° N
26.0° N
Would win
77
Round 77Lost81 countries · 0 lives left
LiberiavsGuyana
Proximity to equator: 7.0° N vs 2.7° N from the equator · Closer wins ↓
Returned to the world: Liberia.
Other category comparisons 3 other winning choices
All eight categories for Liberia against Guyana
Category
Liberia
Guyana
Result
Areakm² · Higher wins ↑
111,369
214,969
Would lose
Populationpeople · Higher wins ↑
5,493,031
826,353
Would win
Wealth per personint’l $ · Higher wins ↑
1,796
54,774
Would lose
Densityper km² · Higher wins ↑
49.3
3.8
Would win
Highest peakm · Higher wins ↑
1,447
2,775
Would lose
Coastlinekm · Higher wins ↑
579
459
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen