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
108Wins
4Losses
2Ties
Explore the final empire · 118 countries
No countries match your search.
The path through the world
One choice at a time.
114 rounds
Where it began · 12 countries
Brunei · Colombia · Republic of the Congo · Bangladesh · Angola · Kazakhstan · Azerbaijan · Liberia · Djibouti · Nigeria · Peru · Brazil
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
81
Round 81Won89 countries · 2 lives left
Trinidad and TobagovsAndorra
Population: 1,367,510 vs 80,856 people · Higher wins ↑
Conquered Andorra.
Other category comparisons 4 other winning choices
All eight categories for Trinidad and Tobago against Andorra
Category
Trinidad and Tobago
Andorra
Result
Areakm² · Higher wins ↑
5,128
468
Would win
Populationpeople · Higher wins ↑ · Chosen
1,367,510
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
34,652
71,790
Would lose
Densityper km² · Higher wins ↑
266.7
172.8
Would win
Highest peakm · Higher wins ↑
940
2,946
Would lose
Coastlinekm · Higher wins ↑
362
0
Would win
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.3° N
42.5° N
Would win
82
Round 82Won90 countries · 2 lives left
HaitivsGambia
Density: 419.4 vs 238.7 per km² · Higher wins ↑
Conquered Gambia.
Other category comparisons 5 other winning choices
All eight categories for Haiti against Gambia
Category
Haiti
Gambia
Result
Areakm² · Higher wins ↑
27,750
11,300
Would win
Populationpeople · Higher wins ↑
11,637,398
2,697,845
Would win
Wealth per personint’l $ · Higher wins ↑
3,265
3,292
Would lose
Densityper km² · Higher wins ↑ · Chosen
419.4
238.7
Would win
Highest peakm · Higher wins ↑
2,674
63
Would win
Coastlinekm · Higher wins ↑
1,771
80
Would win
Flag colourscolours · Higher wins ↑
7
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.2° N
13.6° N
Would lose
83
Round 83Won91 countries · 2 lives left
BruneivsNorth Macedonia
Wealth per person: 85,103 vs 25,354 int’l $ · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 4 other winning choices
All eight categories for Brunei against North Macedonia
Category
Brunei
North Macedonia
Result
Areakm² · Higher wins ↑
5,765
25,713
Would lose
Populationpeople · Higher wins ↑
458,949
1,827,816
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
85,103
25,354
Would win
Densityper km² · Higher wins ↑
79.6
71.1
Would win
Highest peakm · Higher wins ↑
1,850
2,764
Would lose
Coastlinekm · Higher wins ↑
161
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
41.5° N
Would win
84
Round 84Won92 countries · 2 lives left
New ZealandvsPakistan
Wealth per person: 54,950 vs 6,019 int’l $ · Higher wins ↑
Conquered Pakistan.
Other category comparisons 2 other winning choices
All eight categories for New Zealand against Pakistan
Category
New Zealand
Pakistan
Result
Areakm² · Higher wins ↑
268,838
796,095
Would lose
Populationpeople · Higher wins ↑
5,200,000
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,950
6,019
Would win
Densityper km² · Higher wins ↑
19.3
310.9
Would lose
Highest peakm · Higher wins ↑
3,724
8,611
Would lose
Coastlinekm · Higher wins ↑
15,134
1,046
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
27.8° N
Would lose
85
Round 85Won93 countries · 2 lives left
ZimbabwevsEquatorial Guinea
Area: 390,757 vs 28,051 km² · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 1 other winning choice
All eight categories for Zimbabwe against Equatorial Guinea
Category
Zimbabwe
Equatorial Guinea
Result
Areakm² · Higher wins ↑ · Chosen
390,757
28,051
Would win
Populationpeople · Higher wins ↑
16,340,822
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑
5,796
16,997
Would lose
Densityper km² · Higher wins ↑
41.8
65.9
Would lose
Highest peakm · Higher wins ↑
2,592
3,008
Would lose
Coastlinekm · Higher wins ↑
0
296
Would lose
Flag colourscolours · Higher wins ↑
6
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
1.6° N
Would lose
86
Round 86Won94 countries · 2 lives left
TajikistanvsAustralia
Highest peak: 7,495 vs 2,228 m · Higher wins ↑
Conquered Australia.
Other category comparisons 2 other winning choices
All eight categories for Tajikistan against Australia
Category
Tajikistan
Australia
Result
Areakm² · Higher wins ↑
144,100
7,741,220
Would lose
Populationpeople · Higher wins ↑
10,389,799
26,659,922
Would lose
Wealth per personint’l $ · Higher wins ↑
4,968
72,273
Would lose
Densityper km² · Higher wins ↑
72.1
3.4
Would win
Highest peakm · Higher wins ↑ · Chosen
7,495
2,228
Would win
Coastlinekm · Higher wins ↑
0
25,760
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
23.1° S
Would lose
87
Round 87Won95 countries · 2 lives left
IranvsHungary
Highest peak: 5,625 vs 1,014 m · Higher wins ↑
Conquered Hungary.
Other category comparisons 4 other winning choices
All eight categories for Iran against Hungary
Category
Iran
Hungary
Result
Areakm² · Higher wins ↑
1,648,195
93,028
Would win
Populationpeople · Higher wins ↑
90,608,707
9,592,186
Would win
Wealth per personint’l $ · Higher wins ↑
18,933
46,376
Would lose
Densityper km² · Higher wins ↑
55.0
103.1
Would lose
Highest peakm · Higher wins ↑ · Chosen
5,625
1,014
Would win
Coastlinekm · Higher wins ↑
2,440
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
47.3° N
Would win
88
Round 88Won96 countries · 2 lives left
CambodiavsAlbania
Population: 17,423,880 vs 2,411,658 people · Higher wins ↑
Conquered Albania.
Other category comparisons 5 other winning choices
All eight categories for Cambodia against Albania
Category
Cambodia
Albania
Result
Areakm² · Higher wins ↑
181,035
28,748
Would win
Populationpeople · Higher wins ↑ · Chosen
17,423,880
2,411,658
Would win
Wealth per personint’l $ · Higher wins ↑
7,437
24,848
Would lose
Densityper km² · Higher wins ↑
96.2
83.9
Would win
Highest peakm · Higher wins ↑
1,810
2,764
Would lose
Coastlinekm · Higher wins ↑
443
362
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
40.7° N
Would win
89
Round 89Won97 countries · 2 lives left
NepalvsIsrael
Highest peak: 8,849 vs 2,224 m · Higher wins ↑
Conquered Israel.
Other category comparisons 4 other winning choices
All eight categories for Nepal against Israel
Category
Nepal
Israel
Result
Areakm² · Higher wins ↑
147,181
21,937
Would win
Populationpeople · Higher wins ↑
29,694,614
9,849,000
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
55,301
Would lose
Densityper km² · Higher wins ↑
201.8
449.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
8,849
2,224
Would win
Coastlinekm · Higher wins ↑
0
273
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
30.9° N
Would win
90
Round 90Won98 countries · 2 lives left
Central African RepublicvsIndia
Proximity to equator: 7.0° N vs 22.4° N from the equator · Closer wins ↓
Conquered India.
Other category comparisons 1 other winning choice
All eight categories for Central African Republic against India
Category
Central African Republic
India
Result
Areakm² · Higher wins ↑
622,984
3,287,263
Would lose
Populationpeople · Higher wins ↑
5,152,421
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑
1,258
9,853
Would lose
Densityper km² · Higher wins ↑
8.3
437.5
Would lose
Highest peakm · Higher wins ↑
1,410
8,586
Would lose
Coastlinekm · Higher wins ↑
0
7,000
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
22.4° N
Would win
91
Round 91Won99 countries · 2 lives left
ColombiavsItaly
Proximity to equator: 3.4° N vs 45.1° N from the equator · Closer wins ↓
Conquered Italy.
Other category comparisons 2 other winning choices
All eight categories for Colombia against Italy
Category
Colombia
Italy
Result
Areakm² · Higher wins ↑
1,138,910
301,340
Would win
Populationpeople · Higher wins ↑
52,321,152
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
21,282
60,350
Would lose
Densityper km² · Higher wins ↑
45.9
195.7
Would lose
Highest peakm · Higher wins ↑
5,730
4,748
Would win
Coastlinekm · Higher wins ↑
3,208
7,600
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.4° N
45.1° N
Would win
92
Round 92Won100 countries · 2 lives left
NorwayvsSudan
Wealth per person: 107,768 vs 2,423 int’l $ · Higher wins ↑
Conquered Sudan.
Other category comparisons 1 other winning choice
All eight categories for Norway against Sudan
Category
Norway
Sudan
Result
Areakm² · Higher wins ↑
323,802
1,861,484
Would lose
Populationpeople · Higher wins ↑
5,519,601
50,042,791
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
107,768
2,423
Would win
Densityper km² · Higher wins ↑
17.0
26.9
Would lose
Highest peakm · Higher wins ↑
2,469
3,042
Would lose
Coastlinekm · Higher wins ↑
25,148
853
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
61.5° N
16.6° N
Would lose
93
Round 93Won101 countries · 2 lives left
FinlandvsMali
Wealth per person: 63,467 vs 3,178 int’l $ · Higher wins ↑
Conquered Mali.
Other category comparisons 2 other winning choices
All eight categories for Finland against Mali
Category
Finland
Mali
Result
Areakm² · Higher wins ↑
338,145
1,240,192
Would lose
Populationpeople · Higher wins ↑
5,583,911
23,769,127
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
63,467
3,178
Would win
Densityper km² · Higher wins ↑
16.5
19.2
Would lose
Highest peakm · Higher wins ↑
1,328
1,155
Would win
Coastlinekm · Higher wins ↑
1,250
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.3° N
18.6° N
Would lose
94
Round 94Tied101 countries · 2 lives left
LesothovsBurundi
Coastline: 0 vs 0 km · Higher wins ↑
Burundi became contested.
Other category comparisons 4 other winning choices
All eight categories for Lesotho against Burundi
Category
Lesotho
Burundi
Result
Areakm² · Higher wins ↑
30,355
27,830
Would win
Populationpeople · Higher wins ↑
2,311,472
13,689,450
Would lose
Wealth per personint’l $ · Higher wins ↑
2,880
1,147
Would win
Densityper km² · Higher wins ↑
76.1
491.9
Would lose
Highest peakm · Higher wins ↑
3,482
2,685
Would win
Coastlinekm · Higher wins ↑ · Chosen
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.4° S
3.4° S
Would lose
95
Round 95Won103 countries · 2 lives left
ArgentinavsMyanmar
Area: 2,780,400 vs 676,578 km² · Higher wins ↑
Conquered Myanmar, Burundi.
Other category comparisons 3 other winning choices
All eight categories for Argentina against Myanmar
Category
Argentina
Myanmar
Result
Areakm² · Higher wins ↑ · Chosen
2,780,400
676,578
Would win
Populationpeople · Higher wins ↑
45,538,401
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑
30,246
5,958
Would win
Densityper km² · Higher wins ↑
16.4
80.0
Would lose
Highest peakm · Higher wins ↑
6,962
5,870
Would win
Coastlinekm · Higher wins ↑
4,989
1,930
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
21.6° N
Would lose
96
Round 96Won104 countries · 2 lives left
Dominican RepublicvsBolivia
Density: 232.8 vs 11.1 per km² · Higher wins ↑
Conquered Bolivia.
Other category comparisons 2 other winning choices
All eight categories for Dominican Republic against Bolivia
Category
Dominican Republic
Bolivia
Result
Areakm² · Higher wins ↑
48,670
1,098,581
Would lose
Populationpeople · Higher wins ↑
11,331,265
12,244,159
Would lose
Wealth per personint’l $ · Higher wins ↑
25,861
12,903
Would win
Densityper km² · Higher wins ↑ · Chosen
232.8
11.1
Would win
Highest peakm · Higher wins ↑
3,098
6,542
Would lose
Coastlinekm · Higher wins ↑
1,288
0
Would win
Flag colourscolours · Higher wins ↑
6
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
19.1° N
16.7° S
Would lose
97
Round 97Won105 countries · 2 lives left
Papua New GuineavsPalestine
Population: 10,389,635 vs 5,165,775 people · Higher wins ↑
Conquered Palestine.
Other category comparisons 4 other winning choices
All eight categories for Papua New Guinea against Palestine
Category
Papua New Guinea
Palestine
Result
Areakm² · Higher wins ↑
462,840
6,220
Would win
Populationpeople · Higher wins ↑ · Chosen
10,389,635
5,165,775
Would win
Wealth per personint’l $ · Higher wins ↑
4,672
6,179
Would lose
Densityper km² · Higher wins ↑
22.4
830.5
Would lose
Highest peakm · Higher wins ↑
4,509
1,020
Would win
Coastlinekm · Higher wins ↑
5,152
40
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
32.1° N
Would win
98
Round 98Won106 countries · 2 lives left
CzechiavsSri Lanka
Wealth per person: 56,062 vs 14,512 int’l $ · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 1 other winning choice
All eight categories for Czechia against Sri Lanka
Category
Czechia
Sri Lanka
Result
Areakm² · Higher wins ↑
78,867
65,610
Would win
Populationpeople · Higher wins ↑
10,864,042
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
14,512
Would win
Densityper km² · Higher wins ↑
137.8
335.9
Would lose
Highest peakm · Higher wins ↑
1,602
2,524
Would lose
Coastlinekm · Higher wins ↑
0
1,340
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
7.1° N
Would lose
99
Round 99Won107 countries · 2 lives left
Republic of the CongovsSaudi Arabia
Proximity to equator: 0.1° N vs 23.5° N from the equator · Closer wins ↓
Conquered Saudi Arabia.
Other category comparisons 2 other winning choices
All eight categories for Republic of the Congo against Saudi Arabia
Category
Republic of the Congo
Saudi Arabia
Result
Areakm² · Higher wins ↑
342,000
2,149,690
Would lose
Populationpeople · Higher wins ↑
6,182,885
33,702,731
Would lose
Wealth per personint’l $ · Higher wins ↑
6,856
71,624
Would lose
Densityper km² · Higher wins ↑
18.1
15.7
Would win
Highest peakm · Higher wins ↑
1,020
3,000
Would lose
Coastlinekm · Higher wins ↑
169
2,640
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.1° N
23.5° N
Would win
100
Round 100Won108 countries · 2 lives left
South SudanvsJamaica
Area: 644,329 vs 10,991 km² · Higher wins ↑
Conquered Jamaica.
Other category comparisons 4 other winning choices
All eight categories for South Sudan against Jamaica
Category
South Sudan
Jamaica
Result
Areakm² · Higher wins ↑ · Chosen
644,329
10,991
Would win
Populationpeople · Higher wins ↑
11,483,374
2,839,786
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
12,661
Unavailable
Densityper km² · Higher wins ↑
17.8
258.4
Would lose
Highest peakm · Higher wins ↑
3,187
2,256
Would win
Coastlinekm · Higher wins ↑
0
1,022
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓