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Untimed expedition · Data edition 01051846d672
101Wins
4Losses
0Ties
Explore the final empire · 109 countries
No countries match your search.
The path through the world
One choice at a time.
105 rounds
Where it began · 12 countries
Guinea-Bissau · Vietnam · Netherlands · Saudi Arabia · Uruguay · Venezuela · Finland · Spain · South Korea · Algeria · Nepal · Italy
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 81Won91 countries · 3 lives left
ItalyvsUnited States
Density: 195.7 vs 34.2 per km² · Higher wins ↑
Conquered United States.
Other category comparisons 0 other winning choices
All eight categories for Italy against United States
Category
Italy
United States
Result
Areakm² · Higher wins ↑
301,340
9,833,517
Would lose
Populationpeople · Higher wins ↑
58,984,216
336,755,052
Would lose
Wealth per personint’l $ · Higher wins ↑
60,350
82,587
Would lose
Densityper km² · Higher wins ↑ · Chosen
195.7
34.2
Would win
Highest peakm · Higher wins ↑
4,748
6,190
Would lose
Coastlinekm · Higher wins ↑
7,600
19,924
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
45.1° N
39.1° N
Would lose
82
Round 82Won92 countries · 3 lives left
IcelandvsZambia
Wealth per person: 82,257 vs 4,080 int’l $ · Higher wins ↑
Conquered Zambia.
Other category comparisons 1 other winning choice
All eight categories for Iceland against Zambia
Category
Iceland
Zambia
Result
Areakm² · Higher wins ↑
103,000
752,618
Would lose
Populationpeople · Higher wins ↑
385,663
20,723,965
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
4,080
Would win
Densityper km² · Higher wins ↑
3.7
27.5
Would lose
Highest peakm · Higher wins ↑
2,110
2,330
Would lose
Coastlinekm · Higher wins ↑
4,970
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
14.7° S
Would lose
83
Round 83Won93 countries · 3 lives left
AzerbaijanvsUzbekistan
Density: 117.3 vs 79.7 per km² · Higher wins ↑
Conquered Uzbekistan.
Other category comparisons 2 other winning choices
All eight categories for Azerbaijan against Uzbekistan
Category
Azerbaijan
Uzbekistan
Result
Areakm² · Higher wins ↑
86,600
447,400
Would lose
Populationpeople · Higher wins ↑
10,153,958
35,652,307
Would lose
Wealth per personint’l $ · Higher wins ↑
23,671
11,679
Would win
Densityper km² · Higher wins ↑ · Chosen
117.3
79.7
Would win
Highest peakm · Higher wins ↑
4,466
4,643
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
41.5° N
Would win
84
Round 84Won94 countries · 3 lives left
JapanvsBelgium
Population: 124,516,650 vs 11,779,946 people · Higher wins ↑
Conquered Belgium.
Other category comparisons 4 other winning choices
All eight categories for Japan against Belgium
Category
Japan
Belgium
Result
Areakm² · Higher wins ↑
377,915
30,528
Would win
Populationpeople · Higher wins ↑ · Chosen
124,516,650
11,779,946
Would win
Wealth per personint’l $ · Higher wins ↑
52,726
72,630
Would lose
Densityper km² · Higher wins ↑
329.5
385.9
Would lose
Highest peakm · Higher wins ↑
3,776
694
Would win
Coastlinekm · Higher wins ↑
29,751
66.5
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
50.8° N
Would win
85
Round 85Won95 countries · 3 lives left
Guinea-BissauvsColombia
Density: 59.6 vs 45.9 per km² · Higher wins ↑
Conquered Colombia.
Other category comparisons 1 other winning choice
All eight categories for Guinea-Bissau against Colombia
Category
Guinea-Bissau
Colombia
Result
Areakm² · Higher wins ↑
36,125
1,138,910
Would lose
Populationpeople · Higher wins ↑
2,153,339
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
21,282
Would lose
Densityper km² · Higher wins ↑ · Chosen
59.6
45.9
Would win
Highest peakm · Higher wins ↑
277
5,730
Would lose
Coastlinekm · Higher wins ↑
350
3,208
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.1° N
3.4° N
Would lose
86
Round 86Won96 countries · 3 lives left
MyanmarvsBenin
Population: 54,133,798 vs 14,111,034 people · Higher wins ↑
Conquered Benin.
Other category comparisons 5 other winning choices
All eight categories for Myanmar against Benin
Category
Myanmar
Benin
Result
Areakm² · Higher wins ↑
676,578
112,622
Would win
Populationpeople · Higher wins ↑ · Chosen
54,133,798
14,111,034
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
4,133
Would win
Densityper km² · Higher wins ↑
80.0
125.3
Would lose
Highest peakm · Higher wins ↑
5,870
675
Would win
Coastlinekm · Higher wins ↑
1,930
121
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
10.4° N
Would lose
87
Round 87Won97 countries · 3 lives left
SwitzerlandvsMadagascar
Wealth per person: 93,940 vs 1,810 int’l $ · Higher wins ↑
Conquered Madagascar.
Other category comparisons 2 other winning choices
All eight categories for Switzerland against Madagascar
Category
Switzerland
Madagascar
Result
Areakm² · Higher wins ↑
41,277
587,041
Would lose
Populationpeople · Higher wins ↑
8,888,822
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
93,940
1,810
Would win
Densityper km² · Higher wins ↑
215.3
53.1
Would win
Highest peakm · Higher wins ↑
4,634
2,876
Would win
Coastlinekm · Higher wins ↑
0
4,828
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
18.4° S
Would lose
88
Round 88Won98 countries · 3 lives left
MaltavsChile
Density: 1,749.2 vs 26.0 per km² · Higher wins ↑
Conquered Chile.
Other category comparisons 1 other winning choice
All eight categories for Malta against Chile
Category
Malta
Chile
Result
Areakm² · Higher wins ↑
316
756,102
Would lose
Populationpeople · Higher wins ↑
552,747
19,658,835
Would lose
Wealth per personint’l $ · Higher wins ↑
67,101
33,174
Would win
Densityper km² · Higher wins ↑ · Chosen
1,749.2
26.0
Would win
Highest peakm · Higher wins ↑
253
6,893
Would lose
Coastlinekm · Higher wins ↑
196.8
6,435
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
23.4° S
Would lose
89
Round 89Won99 countries · 3 lives left
Central African RepublicvsNorth Macedonia
Proximity to equator: 7.0° N vs 41.5° N from the equator · Closer wins ↓
Conquered North Macedonia.
Other category comparisons 3 other winning choices
All eight categories for Central African Republic against North Macedonia
Category
Central African Republic
North Macedonia
Result
Areakm² · Higher wins ↑
622,984
25,713
Would win
Populationpeople · Higher wins ↑
5,152,421
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑
1,258
25,354
Would lose
Densityper km² · Higher wins ↑
8.3
71.1
Would lose
Highest peakm · Higher wins ↑
1,410
2,764
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
41.5° N
Would win
90
Round 90Won100 countries · 3 lives left
LibyavsEstonia
Area: 1,759,540 vs 45,228 km² · Higher wins ↑
Conquered Estonia.
Other category comparisons 4 other winning choices
All eight categories for Libya against Estonia
Category
Libya
Estonia
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
45,228
Would win
Populationpeople · Higher wins ↑
7,305,659
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
48,848
Would lose
Densityper km² · Higher wins ↑
4.2
30.3
Would lose
Highest peakm · Higher wins ↑
2,267
318
Would win
Coastlinekm · Higher wins ↑
1,770
3,794
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
58.6° N
Would win
91
Round 91Won101 countries · 3 lives left
LuxembourgvsDenmark
Wealth per person: 152,596 vs 77,425 int’l $ · Higher wins ↑
Conquered Denmark.
Other category comparisons 4 other winning choices
All eight categories for Luxembourg against Denmark
Category
Luxembourg
Denmark
Result
Areakm² · Higher wins ↑
2,586
43,094
Would lose
Populationpeople · Higher wins ↑
666,430
5,946,952
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
77,425
Would win
Densityper km² · Higher wins ↑
257.7
138.0
Would win
Highest peakm · Higher wins ↑
559
171
Would win
Coastlinekm · Higher wins ↑
0
7,314
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
55.9° N
Would win
92
Round 92Won102 countries · 3 lives left
Papua New GuineavsLesotho
Area: 462,840 vs 30,355 km² · Higher wins ↑
Conquered Lesotho.
Other category comparisons 5 other winning choices
All eight categories for Papua New Guinea against Lesotho
Category
Papua New Guinea
Lesotho
Result
Areakm² · Higher wins ↑ · Chosen
462,840
30,355
Would win
Populationpeople · Higher wins ↑
10,389,635
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
4,672
2,880
Would win
Densityper km² · Higher wins ↑
22.4
76.1
Would lose
Highest peakm · Higher wins ↑
4,509
3,482
Would win
Coastlinekm · Higher wins ↑
5,152
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
29.4° S
Would win
93
Round 93Won103 countries · 3 lives left
VietnamvsSlovakia
Population: 100,352,192 vs 5,426,740 people · Higher wins ↑
Conquered Slovakia.
Other category comparisons 5 other winning choices
All eight categories for Vietnam against Slovakia
Category
Vietnam
Slovakia
Result
Areakm² · Higher wins ↑
331,210
49,035
Would win
Populationpeople · Higher wins ↑ · Chosen
100,352,192
5,426,740
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
45,865
Would lose
Densityper km² · Higher wins ↑
303.0
110.7
Would win
Highest peakm · Higher wins ↑
3,144
2,655
Would win
Coastlinekm · Higher wins ↑
3,444
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
48.7° N
Would win
94
Round 94Won104 countries · 3 lives left
MauritiusvsSyria
Density: 612.1 vs 125.9 per km² · Higher wins ↑
Conquered Syria.
Other category comparisons 1 other winning choice
All eight categories for Mauritius against Syria
Category
Mauritius
Syria
Result
Areakm² · Higher wins ↑
2,040
187,437
Would lose
Populationpeople · Higher wins ↑
1,248,647
23,594,623
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
29,403
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
612.1
125.9
Would win
Highest peakm · Higher wins ↑
828
2,814
Would lose
Coastlinekm · Higher wins ↑
177
193
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
20.3° S
35.0° N
Would win
95
Round 95Won105 countries · 3 lives left
FrancevsIndia
Wealth per person: 60,927 vs 9,853 int’l $ · Higher wins ↑
Conquered India.
Other category comparisons 0 other winning choices
All eight categories for France against India
Category
France
India
Result
Areakm² · Higher wins ↑
551,500
3,287,263
Would lose
Populationpeople · Higher wins ↑
65,925,961
1,438,069,596
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,927
9,853
Would win
Densityper km² · Higher wins ↑
119.5
437.5
Would lose
Highest peakm · Higher wins ↑
4,810
8,586
Would lose
Coastlinekm · Higher wins ↑
3,427
7,000
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
22.4° N
Would lose
96
Round 96Won106 countries · 3 lives left
UkrainevsSweden
Population: 37,732,836 vs 10,536,632 people · Higher wins ↑
Conquered Sweden.
Other category comparisons 3 other winning choices
All eight categories for Ukraine against Sweden
Category
Ukraine
Sweden
Result
Areakm² · Higher wins ↑
603,550
450,295
Would win
Populationpeople · Higher wins ↑ · Chosen
37,732,836
10,536,632
Would win
Wealth per personint’l $ · Higher wins ↑
17,680
68,458
Would lose
Densityper km² · Higher wins ↑
62.5
23.4
Would win
Highest peakm · Higher wins ↑
2,061
2,100
Would lose
Coastlinekm · Higher wins ↑
2,782
3,218
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
65.8° N
Would win
97
Round 97Won107 countries · 3 lives left
PolandvsFiji
Population: 36,687,353 vs 924,145 people · Higher wins ↑
Conquered Fiji.
Other category comparisons 4 other winning choices
All eight categories for Poland against Fiji
Category
Poland
Fiji
Result
Areakm² · Higher wins ↑
312,685
18,274
Would win
Populationpeople · Higher wins ↑ · Chosen
36,687,353
924,145
Would win
Wealth per personint’l $ · Higher wins ↑
48,473
14,656
Would win
Densityper km² · Higher wins ↑
117.3
50.6
Would win
Highest peakm · Higher wins ↑
2,499
1,324
Would win
Coastlinekm · Higher wins ↑
440
1,129
Would lose
Flag colourscolours · Higher wins ↑
2
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
17.8° S
Would lose
98
Round 98Lost106 countries · 2 lives left
MauritaniavsSudan
Coastline: 754 vs 853 km · Higher wins ↑
Returned to the world: Mauritania.
Other category comparisons 1 other winning choice
All eight categories for Mauritania against Sudan
Category
Mauritania
Sudan
Result
Areakm² · Higher wins ↑
1,030,700
1,861,484
Would lose
Populationpeople · Higher wins ↑
5,022,441
50,042,791
Would lose
Wealth per personint’l $ · Higher wins ↑
6,972
2,423
Would win
Densityper km² · Higher wins ↑
4.9
26.9
Would lose
Highest peakm · Higher wins ↑
915
3,042
Would lose
Coastlinekm · Higher wins ↑ · Chosen
754
853
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
16.6° N
Would lose
99
Round 99Won107 countries · 2 lives left
DjiboutivsBhutan
Proximity to equator: 11.4° N vs 27.5° N from the equator · Closer wins ↓
Conquered Bhutan.
Other category comparisons 3 other winning choices
All eight categories for Djibouti against Bhutan
Category
Djibouti
Bhutan
Result
Areakm² · Higher wins ↑
23,200
38,394
Would lose
Populationpeople · Higher wins ↑
1,152,944
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
7,232
16,229
Would lose
Densityper km² · Higher wins ↑
49.7
20.5
Would win
Highest peakm · Higher wins ↑
2,021
7,570
Would lose
Coastlinekm · Higher wins ↑
314
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
11.4° N
27.5° N
Would win
100
Round 100Won108 countries · 2 lives left
DR CongovsEswatini
Population: 105,789,731 vs 1,230,506 people · Higher wins ↑
Conquered Eswatini.
Other category comparisons 4 other winning choices
All eight categories for DR Congo against Eswatini
Category
DR Congo
Eswatini
Result
Areakm² · Higher wins ↑
2,344,858
17,364
Would win
Populationpeople · Higher wins ↑ · Chosen
105,789,731
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
11,309
Would lose
Densityper km² · Higher wins ↑
45.1
70.9
Would lose
Highest peakm · Higher wins ↑
5,110
1,862
Would win
Coastlinekm · Higher wins ↑
37
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Italyvs
United States
Iceland
Zambia
Azerbaijan
Uzbekistan
Japan
Belgium
Guinea-Bissau
Colombia
Myanmar
Benin
Switzerland
Madagascar
Malta
Chile
Central African Republic
North Macedonia
Libya
Estonia
Luxembourg
Denmark
Papua New Guinea
Lesotho
Vietnam
Slovakia
Mauritius
Syria
France
India
Ukraine
Sweden
Poland
Fiji
Mauritania
Sudan
Djibouti
Bhutan
DR Congo
Eswatini