Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
1
Round 1Won13 countries · 4 lives left
ZimbabwevsSouth Sudan
Density: 41.8 vs 17.8 per km² · Higher wins ↑
Conquered South Sudan.
Other category comparisons 1 other winning choice
All eight categories for Zimbabwe against South Sudan
Category
Zimbabwe
South Sudan
Result
Areakm² · Higher wins ↑
390,757
644,329
Would lose
Populationpeople · Higher wins ↑
16,340,822
11,483,374
Would win
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
5,796
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
41.8
17.8
Would win
Highest peakm · Higher wins ↑
2,592
3,187
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
6
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
7.1° N
Would lose
2
Round 2Won14 countries · 4 lives left
DenmarkvsTrinidad and Tobago
Wealth per person: 77,425 vs 34,652 int’l $ · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 3 other winning choices
All eight categories for Denmark against Trinidad and Tobago
Category
Denmark
Trinidad and Tobago
Result
Areakm² · Higher wins ↑
43,094
5,128
Would win
Populationpeople · Higher wins ↑
5,946,952
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
77,425
34,652
Would win
Densityper km² · Higher wins ↑
138.0
266.7
Would lose
Highest peakm · Higher wins ↑
171
940
Would lose
Coastlinekm · Higher wins ↑
7,314
362
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
10.3° N
Would lose
3
Round 3Won15 countries · 4 lives left
JapanvsEstonia
Population: 124,516,650 vs 1,370,286 people · Higher wins ↑
Conquered Estonia.
Other category comparisons 6 other winning choices
All eight categories for Japan against Estonia
Category
Japan
Estonia
Result
Areakm² · Higher wins ↑
377,915
45,228
Would win
Populationpeople · Higher wins ↑ · Chosen
124,516,650
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
52,726
48,848
Would win
Densityper km² · Higher wins ↑
329.5
30.3
Would win
Highest peakm · Higher wins ↑
3,776
318
Would win
Coastlinekm · Higher wins ↑
29,751
3,794
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
58.6° N
Would win
4
Round 4Won16 countries · 4 lives left
ParaguayvsFinland
Proximity to equator: 21.6° S vs 63.3° N from the equator · Closer wins ↓
Conquered Finland.
Other category comparisons 4 other winning choices
All eight categories for Paraguay against Finland
Category
Paraguay
Finland
Result
Areakm² · Higher wins ↑
406,752
338,145
Would win
Populationpeople · Higher wins ↑
6,844,146
5,583,911
Would win
Wealth per personint’l $ · Higher wins ↑
17,585
63,467
Would lose
Densityper km² · Higher wins ↑
16.8
16.5
Would win
Highest peakm · Higher wins ↑
842
1,328
Would lose
Coastlinekm · Higher wins ↑
0
1,250
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
21.6° S
63.3° N
Would win
5
Round 5Won17 countries · 4 lives left
LuxembourgvsVietnam
Wealth per person: 152,596 vs 15,034 int’l $ · Higher wins ↑
Conquered Vietnam.
Other category comparisons 1 other winning choice
All eight categories for Luxembourg against Vietnam
Category
Luxembourg
Vietnam
Result
Areakm² · Higher wins ↑
2,586
331,210
Would lose
Populationpeople · Higher wins ↑
666,430
100,352,192
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
15,034
Would win
Densityper km² · Higher wins ↑
257.7
303.0
Would lose
Highest peakm · Higher wins ↑
559
3,144
Would lose
Coastlinekm · Higher wins ↑
0
3,444
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
21.7° N
Would lose
6
Round 6Won18 countries · 4 lives left
Equatorial GuineavsRussia
Proximity to equator: 1.6° N vs 63.6° N from the equator · Closer wins ↓
Conquered Russia.
Other category comparisons 2 other winning choices
All eight categories for Equatorial Guinea against Russia
Category
Equatorial Guinea
Russia
Result
Areakm² · Higher wins ↑
28,051
17,098,242
Would lose
Populationpeople · Higher wins ↑
1,847,549
143,826,130
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
44,299
Would lose
Densityper km² · Higher wins ↑
65.9
8.4
Would win
Highest peakm · Higher wins ↑
3,008
5,642
Would lose
Coastlinekm · Higher wins ↑
296
37,653
Would lose
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
63.6° N
Would win
7
Round 7Won19 countries · 4 lives left
YemenvsMauritius
Population: 39,390,799 vs 1,248,647 people · Higher wins ↑
Conquered Mauritius.
Other category comparisons 4 other winning choices
All eight categories for Yemen against Mauritius
Category
Yemen
Mauritius
Result
Areakm² · Higher wins ↑
527,968
2,040
Would win
Populationpeople · Higher wins ↑ · Chosen
39,390,799
1,248,647
Would win
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
Unavailable
29,403
Unavailable
Densityper km² · Higher wins ↑
74.6
612.1
Would lose
Highest peakm · Higher wins ↑
3,666
828
Would win
Coastlinekm · Higher wins ↑
1,906
177
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
15.3° N
20.3° S
Would win
8
Round 8Won20 countries · 4 lives left
BahrainvsChina
Wealth per person: 64,224 vs 25,200 int’l $ · Higher wins ↑
Conquered China.
Other category comparisons 2 other winning choices
All eight categories for Bahrain against China
Category
Bahrain
China
Result
Areakm² · Higher wins ↑
760
9,596,960
Would lose
Populationpeople · Higher wins ↑
1,577,059
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
64,224
25,200
Would win
Densityper km² · Higher wins ↑
2,075.1
147.0
Would win
Highest peakm · Higher wins ↑
135
8,849
Would lose
Coastlinekm · Higher wins ↑
161
14,500
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.0° N
32.5° N
Would win
9
Round 9Won21 countries · 4 lives left
CzechiavsMexico
Wealth per person: 56,062 vs 25,188 int’l $ · Higher wins ↑
Conquered Mexico.
Other category comparisons 1 other winning choice
All eight categories for Czechia against Mexico
Category
Czechia
Mexico
Result
Areakm² · Higher wins ↑
78,867
1,964,375
Would lose
Populationpeople · Higher wins ↑
10,864,042
129,739,759
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
25,188
Would win
Densityper km² · Higher wins ↑
137.8
66.0
Would win
Highest peakm · Higher wins ↑
1,602
5,636
Would lose
Coastlinekm · Higher wins ↑
0
9,330
Would lose
Flag colourscolours · Higher wins ↑
3
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
23.5° N
Would lose
10
Round 10Won22 countries · 4 lives left
ZambiavsBelarus
Area: 752,618 vs 207,600 km² · Higher wins ↑
Conquered Belarus.
Other category comparisons 4 other winning choices
All eight categories for Zambia against Belarus
Category
Zambia
Belarus
Result
Areakm² · Higher wins ↑ · Chosen
752,618
207,600
Would win
Populationpeople · Higher wins ↑
20,723,965
9,178,298
Would win
Wealth per personint’l $ · Higher wins ↑
4,080
30,860
Would lose
Densityper km² · Higher wins ↑
27.5
44.2
Would lose
Highest peakm · Higher wins ↑
2,330
346
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.7° S
53.8° N
Would win
11
Round 11Won23 countries · 4 lives left
TajikistanvsRepublic of the Congo
Highest peak: 7,495 vs 1,020 m · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 3 other winning choices
All eight categories for Tajikistan against Republic of the Congo
Category
Tajikistan
Republic of the Congo
Result
Areakm² · Higher wins ↑
144,100
342,000
Would lose
Populationpeople · Higher wins ↑
10,389,799
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑
4,968
6,856
Would lose
Densityper km² · Higher wins ↑
72.1
18.1
Would win
Highest peakm · Higher wins ↑ · Chosen
7,495
1,020
Would win
Coastlinekm · Higher wins ↑
0
169
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
38.3° N
0.1° N
Would lose
12
Round 12Won24 countries · 4 lives left
LibyavsNepal
Area: 1,759,540 vs 147,181 km² · Higher wins ↑
Conquered Nepal.
Other category comparisons 4 other winning choices
All eight categories for Libya against Nepal
Category
Libya
Nepal
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
147,181
Would win
Populationpeople · Higher wins ↑
7,305,659
29,694,614
Would lose
Wealth per personint’l $ · Higher wins ↑
13,858
5,400
Would win
Densityper km² · Higher wins ↑
4.2
201.8
Would lose
Highest peakm · Higher wins ↑
2,267
8,849
Would lose
Coastlinekm · Higher wins ↑
1,770
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
29.0° N
Would win
13
Round 13Won25 countries · 4 lives left
ZimbabwevsIceland
Proximity to equator: 19.0° S vs 64.7° N from the equator · Closer wins ↓
Conquered Iceland.
Other category comparisons 5 other winning choices
All eight categories for Zimbabwe against Iceland
Category
Zimbabwe
Iceland
Result
Areakm² · Higher wins ↑
390,757
103,000
Would win
Populationpeople · Higher wins ↑
16,340,822
385,663
Would win
Wealth per personint’l $ · Higher wins ↑
5,796
82,257
Would lose
Densityper km² · Higher wins ↑
41.8
3.7
Would win
Highest peakm · Higher wins ↑
2,592
2,110
Would win
Coastlinekm · Higher wins ↑
0
4,970
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.0° S
64.7° N
Would win
14
Round 14Won26 countries · 4 lives left
South SudanvsItaly
Proximity to equator: 7.1° N vs 45.1° N from the equator · Closer wins ↓
Conquered Italy.
Other category comparisons 2 other winning choices
All eight categories for South Sudan against Italy
Category
South Sudan
Italy
Result
Areakm² · Higher wins ↑
644,329
301,340
Would win
Populationpeople · Higher wins ↑
11,483,374
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
60,350
Unavailable
Densityper km² · Higher wins ↑
17.8
195.7
Would lose
Highest peakm · Higher wins ↑
3,187
4,748
Would lose
Coastlinekm · Higher wins ↑
0
7,600
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.1° N
45.1° N
Would win
15
Round 15Won27 countries · 4 lives left
DenmarkvsMyanmar
Wealth per person: 77,425 vs 5,958 int’l $ · Higher wins ↑
Conquered Myanmar.
Other category comparisons 2 other winning choices
All eight categories for Denmark against Myanmar
Category
Denmark
Myanmar
Result
Areakm² · Higher wins ↑
43,094
676,578
Would lose
Populationpeople · Higher wins ↑
5,946,952
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
77,425
5,958
Would win
Densityper km² · Higher wins ↑
138.0
80.0
Would win
Highest peakm · Higher wins ↑
171
5,870
Would lose
Coastlinekm · Higher wins ↑
7,314
1,930
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
21.6° N
Would lose
16
Round 16Won28 countries · 4 lives left
Trinidad and TobagovsSyria
Density: 266.7 vs 125.9 per km² · Higher wins ↑
Conquered Syria.
Other category comparisons 2 other winning choices
All eight categories for Trinidad and Tobago against Syria
Category
Trinidad and Tobago
Syria
Result
Areakm² · Higher wins ↑
5,128
187,437
Would lose
Populationpeople · Higher wins ↑
1,367,510
23,594,623
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
34,652
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
266.7
125.9
Would win
Highest peakm · Higher wins ↑
940
2,814
Would lose
Coastlinekm · Higher wins ↑
362
193
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.3° N
35.0° N
Would win
17
Round 17Won29 countries · 4 lives left
JapanvsEcuador
Population: 124,516,650 vs 17,980,083 people · Higher wins ↑
Conquered Ecuador.
Other category comparisons 4 other winning choices
All eight categories for Japan against Ecuador
Category
Japan
Ecuador
Result
Areakm² · Higher wins ↑
377,915
283,561
Would win
Populationpeople · Higher wins ↑ · Chosen
124,516,650
17,980,083
Would win
Wealth per personint’l $ · Higher wins ↑
52,726
15,907
Would win
Densityper km² · Higher wins ↑
329.5
63.4
Would win
Highest peakm · Higher wins ↑
3,776
6,267
Would lose
Coastlinekm · Higher wins ↑
29,751
2,237
Would win
Flag colourscolours · Higher wins ↑
2
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
1.2° S
Would lose
18
Round 18Won30 countries · 4 lives left
EstoniavsBhutan
Coastline: 3,794 vs 0 km · Higher wins ↑
Conquered Bhutan.
Other category comparisons 4 other winning choices
All eight categories for Estonia against Bhutan
Category
Estonia
Bhutan
Result
Areakm² · Higher wins ↑
45,228
38,394
Would win
Populationpeople · Higher wins ↑
1,370,286
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
48,848
16,229
Would win
Densityper km² · Higher wins ↑
30.3
20.5
Would win
Highest peakm · Higher wins ↑
318
7,570
Would lose
Coastlinekm · Higher wins ↑ · Chosen
3,794
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
27.5° N
Would lose
19
Round 19Won31 countries · 4 lives left
ParaguayvsRomania
Flag colours: 6 vs 3 colours · Higher wins ↑
Conquered Romania.
Other category comparisons 2 other winning choices
All eight categories for Paraguay against Romania
Category
Paraguay
Romania
Result
Areakm² · Higher wins ↑
406,752
238,391
Would win
Populationpeople · Higher wins ↑
6,844,146
19,061,062
Would lose
Wealth per personint’l $ · Higher wins ↑
17,585
45,982
Would lose
Densityper km² · Higher wins ↑
16.8
80.0
Would lose
Highest peakm · Higher wins ↑
842
2,544
Would lose
Coastlinekm · Higher wins ↑
0
225
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° S
45.7° N
Would win
20
Round 20Won32 countries · 4 lives left
FinlandvsPanama
Area: 338,145 vs 75,420 km² · Higher wins ↑
Conquered Panama.
Other category comparisons 2 other winning choices
All eight categories for Finland against Panama
Category
Finland
Panama
Result
Areakm² · Higher wins ↑ · Chosen
338,145
75,420
Would win
Populationpeople · Higher wins ↑
5,583,911
4,458,759
Would win
Wealth per personint’l $ · Higher wins ↑
63,467
39,846
Would win
Densityper km² · Higher wins ↑
16.5
59.1
Would lose
Highest peakm · Higher wins ↑
1,328
3,475
Would lose
Coastlinekm · Higher wins ↑
1,250
2,490
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Zimbabwevs
South Sudan
Denmark
Trinidad and Tobago
Japan
Estonia
Paraguay
Finland
Luxembourg
Vietnam
Equatorial Guinea
Russia
Yemen
Mauritius
Bahrain
China
Czechia
Mexico
Zambia
Belarus
Tajikistan
Republic of the Congo
Libya
Nepal
Iceland
Italy
Myanmar
Syria
Ecuador
Bhutan
Romania
Panama