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Untimed expedition · Data edition 01051846d672
140Wins
4Losses
4Ties
Explore the final empire · 152 countries
No countries match your search.
The path through the world
One choice at a time.
148 rounds
Where it began · 12 countries
South Africa · Honduras · Gabon · South Korea · United Arab Emirates · Lebanon · Poland · Iceland · China · Sierra Leone · Laos · Brunei
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
121
Round 121Won127 countries · 1 life left
PalestinevsIndonesia
Density: 830.5 vs 147.6 per km² · Higher wins ↑
Conquered Indonesia.
Other category comparisons 1 other winning choice
All eight categories for Palestine against Indonesia
Category
Palestine
Indonesia
Result
Areakm² · Higher wins ↑
6,220
1,904,569
Would lose
Populationpeople · Higher wins ↑
5,165,775
281,190,067
Would lose
Wealth per personint’l $ · Higher wins ↑
6,179
15,428
Would lose
Densityper km² · Higher wins ↑ · Chosen
830.5
147.6
Would win
Highest peakm · Higher wins ↑
1,020
4,884
Would lose
Coastlinekm · Higher wins ↑
40
54,716
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
1.0° S
Would lose
122
Round 122Won128 countries · 1 life left
GambiavsTurkmenistan
Density: 238.7 vs 15.1 per km² · Higher wins ↑
Conquered Turkmenistan.
Other category comparisons 2 other winning choices
All eight categories for Gambia against Turkmenistan
Category
Gambia
Turkmenistan
Result
Areakm² · Higher wins ↑
11,300
488,100
Would lose
Populationpeople · Higher wins ↑
2,697,845
7,364,438
Would lose
Wealth per personint’l $ · Higher wins ↑
3,292
19,645
Would lose
Densityper km² · Higher wins ↑ · Chosen
238.7
15.1
Would win
Highest peakm · Higher wins ↑
63
3,139
Would lose
Coastlinekm · Higher wins ↑
80
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.6° N
39.9° N
Would win
123
Round 123Won129 countries · 1 life left
PakistanvsAustralia
Population: 247,504,495 vs 26,659,922 people · Higher wins ↑
Conquered Australia.
Other category comparisons 2 other winning choices
All eight categories for Pakistan against Australia
Category
Pakistan
Australia
Result
Areakm² · Higher wins ↑
796,095
7,741,220
Would lose
Populationpeople · Higher wins ↑ · Chosen
247,504,495
26,659,922
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
72,273
Would lose
Densityper km² · Higher wins ↑
310.9
3.4
Would win
Highest peakm · Higher wins ↑
8,611
2,228
Would win
Coastlinekm · Higher wins ↑
1,046
25,760
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
23.1° S
Would lose
124
Round 124Won130 countries · 1 life left
FrancevsMoldova
Population: 65,925,961 vs 2,457,783 people · Higher wins ↑
Conquered Moldova.
Other category comparisons 6 other winning choices
All eight categories for France against Moldova
Category
France
Moldova
Result
Areakm² · Higher wins ↑
551,500
33,851
Would win
Populationpeople · Higher wins ↑ · Chosen
65,925,961
2,457,783
Would win
Wealth per personint’l $ · Higher wins ↑
60,927
17,751
Would win
Densityper km² · Higher wins ↑
119.5
72.6
Would win
Highest peakm · Higher wins ↑
4,810
430
Would win
Coastlinekm · Higher wins ↑
3,427
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
47.5° N
Would win
125
Round 125Won131 countries · 1 life left
LebanonvsCzechia
Density: 555.1 vs 137.8 per km² · Higher wins ↑
Conquered Czechia.
Other category comparisons 3 other winning choices
All eight categories for Lebanon against Czechia
Category
Lebanon
Czechia
Result
Areakm² · Higher wins ↑
10,400
78,867
Would lose
Populationpeople · Higher wins ↑
5,773,493
10,864,042
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
56,062
Would lose
Densityper km² · Higher wins ↑ · Chosen
555.1
137.8
Would win
Highest peakm · Higher wins ↑
3,088
1,602
Would win
Coastlinekm · Higher wins ↑
225
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
49.8° N
Would win
126
Round 126Won132 countries · 1 life left
NepalvsLatvia
Highest peak: 8,849 vs 312 m · Higher wins ↑
Conquered Latvia.
Other category comparisons 5 other winning choices
All eight categories for Nepal against Latvia
Category
Nepal
Latvia
Result
Areakm² · Higher wins ↑
147,181
64,589
Would win
Populationpeople · Higher wins ↑
29,694,614
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
5,400
42,784
Would lose
Densityper km² · Higher wins ↑
201.8
29.2
Would win
Highest peakm · Higher wins ↑ · Chosen
8,849
312
Would win
Coastlinekm · Higher wins ↑
0
498
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.0° N
56.6° N
Would win
127
Round 127Won133 countries · 1 life left
SingaporevsEthiopia
Density: 8,230.4 vs 116.5 per km² · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 3 other winning choices
All eight categories for Singapore against Ethiopia
Category
Singapore
Ethiopia
Result
Areakm² · Higher wins ↑
719
1,104,300
Would lose
Populationpeople · Higher wins ↑
5,917,648
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑
144,728
3,063
Would win
Densityper km² · Higher wins ↑ · Chosen
8,230.4
116.5
Would win
Highest peakm · Higher wins ↑
166
4,550
Would lose
Coastlinekm · Higher wins ↑
193
0
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.4° N
8.5° N
Would win
128
Round 128Won134 countries · 1 life left
MalawivsGuinea-Bissau
Population: 21,104,482 vs 2,153,339 people · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 3 other winning choices
All eight categories for Malawi against Guinea-Bissau
Category
Malawi
Guinea-Bissau
Result
Areakm² · Higher wins ↑
118,484
36,125
Would win
Populationpeople · Higher wins ↑ · Chosen
21,104,482
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
2,956
Would lose
Densityper km² · Higher wins ↑
178.1
59.6
Would win
Highest peakm · Higher wins ↑
3,002
277
Would win
Coastlinekm · Higher wins ↑
0
350
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.4° S
12.1° N
Would lose
129
Round 129Won135 countries · 1 life left
QatarvsNorth Macedonia
Wealth per person: 129,025 vs 25,354 int’l $ · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 4 other winning choices
All eight categories for Qatar against North Macedonia
Category
Qatar
North Macedonia
Result
Areakm² · Higher wins ↑
11,586
25,713
Would lose
Populationpeople · Higher wins ↑
2,656,032
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
129,025
25,354
Would win
Densityper km² · Higher wins ↑
229.2
71.1
Would win
Highest peakm · Higher wins ↑
103
2,764
Would lose
Coastlinekm · Higher wins ↑
563
0
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
25.1° N
41.5° N
Would win
130
Round 130Won136 countries · 1 life left
NicaraguavsTanzania
Wealth per person: 8,327 vs 4,022 int’l $ · Higher wins ↑
Conquered Tanzania.
Other category comparisons 1 other winning choice
All eight categories for Nicaragua against Tanzania
Category
Nicaragua
Tanzania
Result
Areakm² · Higher wins ↑
130,370
947,300
Would lose
Populationpeople · Higher wins ↑
6,823,613
66,617,606
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
8,327
4,022
Would win
Densityper km² · Higher wins ↑
52.3
70.3
Would lose
Highest peakm · Higher wins ↑
2,085
5,895
Would lose
Coastlinekm · Higher wins ↑
910
1,424
Would lose
Flag colourscolours · Higher wins ↑
10
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
5.5° S
Would lose
131
Round 131Won137 countries · 1 life left
PolandvsAustria
Population: 36,687,353 vs 9,131,761 people · Higher wins ↑
Conquered Austria.
Other category comparisons 3 other winning choices
All eight categories for Poland against Austria
Category
Poland
Austria
Result
Areakm² · Higher wins ↑
312,685
83,871
Would win
Populationpeople · Higher wins ↑ · Chosen
36,687,353
9,131,761
Would win
Wealth per personint’l $ · Higher wins ↑
48,473
74,261
Would lose
Densityper km² · Higher wins ↑
117.3
108.9
Would win
Highest peakm · Higher wins ↑
2,499
3,798
Would lose
Coastlinekm · Higher wins ↑
440
0
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
47.7° N
Would lose
132
Round 132Won138 countries · 1 life left
El SalvadorvsArgentina
Density: 299.9 vs 16.4 per km² · Higher wins ↑
Conquered Argentina.
Other category comparisons 2 other winning choices
All eight categories for El Salvador against Argentina
Category
El Salvador
Argentina
Result
Areakm² · Higher wins ↑
21,041
2,780,400
Would lose
Populationpeople · Higher wins ↑
6,309,624
45,538,401
Would lose
Wealth per personint’l $ · Higher wins ↑
12,667
30,246
Would lose
Densityper km² · Higher wins ↑ · Chosen
299.9
16.4
Would win
Highest peakm · Higher wins ↑
2,730
6,962
Would lose
Coastlinekm · Higher wins ↑
307
4,989
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.9° N
31.4° S
Would win
133
Round 133Won139 countries · 1 life left
MozambiquevsSuriname
Area: 799,380 vs 163,820 km² · Higher wins ↑
Conquered Suriname.
Other category comparisons 5 other winning choices
All eight categories for Mozambique against Suriname
Category
Mozambique
Suriname
Result
Areakm² · Higher wins ↑ · Chosen
799,380
163,820
Would win
Populationpeople · Higher wins ↑
33,635,160
628,886
Would win
Wealth per personint’l $ · Higher wins ↑
1,680
21,128
Would lose
Densityper km² · Higher wins ↑
42.1
3.8
Would win
Highest peakm · Higher wins ↑
2,436
1,230
Would win
Coastlinekm · Higher wins ↑
2,470
386
Would win
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.0° S
4.1° N
Would lose
134
Round 134Won140 countries · 1 life left
GreecevsFinland
Coastline: 13,676 vs 1,250 km · Higher wins ↑
Conquered Finland.
Other category comparisons 4 other winning choices
All eight categories for Greece against Finland
Category
Greece
Finland
Result
Areakm² · Higher wins ↑
131,957
338,145
Would lose
Populationpeople · Higher wins ↑
10,407,351
5,583,911
Would win
Wealth per personint’l $ · Higher wins ↑
42,614
63,467
Would lose
Densityper km² · Higher wins ↑
78.9
16.5
Would win
Highest peakm · Higher wins ↑
2,917
1,328
Would win
Coastlinekm · Higher wins ↑ · Chosen
13,676
1,250
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.8° N
63.3° N
Would win
135
Round 135Won141 countries · 1 life left
GeorgiavsTogo
Highest peak: 5,193 vs 986 m · Higher wins ↑
Conquered Togo.
Other category comparisons 3 other winning choices
All eight categories for Georgia against Togo
Category
Georgia
Togo
Result
Areakm² · Higher wins ↑
69,700
56,785
Would win
Populationpeople · Higher wins ↑
3,715,483
8,223,850
Would lose
Wealth per personint’l $ · Higher wins ↑
25,093
3,572
Would win
Densityper km² · Higher wins ↑
53.3
144.8
Would lose
Highest peakm · Higher wins ↑ · Chosen
5,193
986
Would win
Coastlinekm · Higher wins ↑
310
56
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.4° N
8.9° N
Would lose
136
Round 136Won142 countries · 1 life left
MauritaniavsCyprus
Area: 1,030,700 vs 9,251 km² · Higher wins ↑
Conquered Cyprus.
Other category comparisons 3 other winning choices
All eight categories for Mauritania against Cyprus
Category
Mauritania
Cyprus
Result
Areakm² · Higher wins ↑ · Chosen
1,030,700
9,251
Would win
Populationpeople · Higher wins ↑
5,022,441
1,344,976
Would win
Wealth per personint’l $ · Higher wins ↑
6,972
59,875
Would lose
Densityper km² · Higher wins ↑
4.9
145.4
Would lose
Highest peakm · Higher wins ↑
915
1,951
Would lose
Coastlinekm · Higher wins ↑
754
648
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
34.9° N
Would win
137
Round 137Won143 countries · 1 life left
Equatorial GuineavsMalaysia
Proximity to equator: 1.6° N vs 4.4° N from the equator · Closer wins ↓
Conquered Malaysia.
Other category comparisons 1 other winning choice
All eight categories for Equatorial Guinea against Malaysia
Category
Equatorial Guinea
Malaysia
Result
Areakm² · Higher wins ↑
28,051
329,847
Would lose
Populationpeople · Higher wins ↑
1,847,549
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
36,497
Would lose
Densityper km² · Higher wins ↑
65.9
106.5
Would lose
Highest peakm · Higher wins ↑
3,008
4,095
Would lose
Coastlinekm · Higher wins ↑
296
4,675
Would lose
Flag colourscolours · Higher wins ↑
8
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
4.4° N
Would win
138
Round 138Won144 countries · 1 life left
SwitzerlandvsUzbekistan
Wealth per person: 93,940 vs 11,679 int’l $ · Higher wins ↑
Conquered Uzbekistan.
Other category comparisons 1 other winning choice
All eight categories for Switzerland against Uzbekistan
Category
Switzerland
Uzbekistan
Result
Areakm² · Higher wins ↑
41,277
447,400
Would lose
Populationpeople · Higher wins ↑
8,888,822
35,652,307
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
11,679
Would win
Densityper km² · Higher wins ↑
215.3
79.7
Would win
Highest peakm · Higher wins ↑
4,634
4,643
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
41.5° N
Would lose
139
Round 139Won145 countries · 1 life left
IcelandvsTrinidad and Tobago
Wealth per person: 82,257 vs 34,652 int’l $ · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 3 other winning choices
All eight categories for Iceland against Trinidad and Tobago
Category
Iceland
Trinidad and Tobago
Result
Areakm² · Higher wins ↑
103,000
5,128
Would win
Populationpeople · Higher wins ↑
385,663
1,367,510
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
34,652
Would win
Densityper km² · Higher wins ↑
3.7
266.7
Would lose
Highest peakm · Higher wins ↑
2,110
940
Would win
Coastlinekm · Higher wins ↑
4,970
362
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
10.3° N
Would lose
140
Round 140Won146 countries · 1 life left
LuxembourgvsNew Zealand
Wealth per person: 152,596 vs 54,950 int’l $ · Higher wins ↑
Conquered New Zealand.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against New Zealand
Category
Luxembourg
New Zealand
Result
Areakm² · Higher wins ↑
2,586
268,838
Would lose
Populationpeople · Higher wins ↑
666,430
5,200,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
54,950
Would win
Densityper km² · Higher wins ↑
257.7
19.3
Would win
Highest peakm · Higher wins ↑
559
3,724
Would lose
Coastlinekm · Higher wins ↑
0
15,134
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓