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
DR CongovsBurkina Faso
Population: 105,789,731 vs 23,025,776 people · Higher wins ↑
Conquered Burkina Faso.
Other category comparisons 4 other winning choices
All eight categories for DR Congo against Burkina Faso
Category
DR Congo
Burkina Faso
Result
Areakm² · Higher wins ↑
2,344,858
274,200
Would win
Populationpeople · Higher wins ↑ · Chosen
105,789,731
23,025,776
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
2,762
Would lose
Densityper km² · Higher wins ↑
45.1
84.0
Would lose
Highest peakm · Higher wins ↑
5,110
749
Would win
Coastlinekm · Higher wins ↑
37
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
12.8° N
Would win
2
Round 2Won14 countries · 4 lives left
BurundivsIreland
Density: 491.9 vs 75.6 per km² · Higher wins ↑
Conquered Ireland.
Other category comparisons 3 other winning choices
All eight categories for Burundi against Ireland
Category
Burundi
Ireland
Result
Areakm² · Higher wins ↑
27,830
70,273
Would lose
Populationpeople · Higher wins ↑
13,689,450
5,311,538
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
133,440
Would lose
Densityper km² · Higher wins ↑ · Chosen
491.9
75.6
Would win
Highest peakm · Higher wins ↑
2,685
1,041
Would win
Coastlinekm · Higher wins ↑
0
1,448
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
53.1° N
Would win
3
Round 3Won15 countries · 4 lives left
VietnamvsPortugal
Population: 100,352,192 vs 10,578,174 people · Higher wins ↑
Conquered Portugal.
Other category comparisons 5 other winning choices
All eight categories for Vietnam against Portugal
Category
Vietnam
Portugal
Result
Areakm² · Higher wins ↑
331,210
92,090
Would win
Populationpeople · Higher wins ↑ · Chosen
100,352,192
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
49,800
Would lose
Densityper km² · Higher wins ↑
303.0
114.9
Would win
Highest peakm · Higher wins ↑
3,144
2,351
Would win
Coastlinekm · Higher wins ↑
3,444
1,793
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
40.7° N
Would win
4
Round 4Won16 countries · 4 lives left
PolandvsMozambique
Wealth per person: 48,473 vs 1,680 int’l $ · Higher wins ↑
Conquered Mozambique.
Other category comparisons 3 other winning choices
All eight categories for Poland against Mozambique
Category
Poland
Mozambique
Result
Areakm² · Higher wins ↑
312,685
799,380
Would lose
Populationpeople · Higher wins ↑
36,687,353
33,635,160
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,473
1,680
Would win
Densityper km² · Higher wins ↑
117.3
42.1
Would win
Highest peakm · Higher wins ↑
2,499
2,436
Would win
Coastlinekm · Higher wins ↑
440
2,470
Would lose
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
14.0° S
Would lose
5
Round 5Won17 countries · 4 lives left
MaldivesvsTajikistan
Proximity to equator: 3.3° N vs 38.3° N from the equator · Closer wins ↓
Conquered Tajikistan.
Other category comparisons 3 other winning choices
All eight categories for Maldives against Tajikistan
Category
Maldives
Tajikistan
Result
Areakm² · Higher wins ↑
298
144,100
Would lose
Populationpeople · Higher wins ↑
525,994
10,389,799
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
4,968
Would win
Densityper km² · Higher wins ↑
1,765.1
72.1
Would win
Highest peakm · Higher wins ↑
5
7,495
Would lose
Coastlinekm · Higher wins ↑
644
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.3° N
38.3° N
Would win
6
Round 6Won18 countries · 4 lives left
CanadavsJamaica
Area: 9,984,670 vs 10,991 km² · Higher wins ↑
Conquered Jamaica.
Other category comparisons 4 other winning choices
All eight categories for Canada against Jamaica
Category
Canada
Jamaica
Result
Areakm² · Higher wins ↑ · Chosen
9,984,670
10,991
Would win
Populationpeople · Higher wins ↑
40,049,088
2,839,786
Would win
Wealth per personint’l $ · Higher wins ↑
64,962
12,661
Would win
Densityper km² · Higher wins ↑
4.0
258.4
Would lose
Highest peakm · Higher wins ↑
5,959
2,256
Would win
Coastlinekm · Higher wins ↑
202,080
1,022
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
58.8° N
18.1° N
Would lose
7
Round 7Won19 countries · 4 lives left
ParaguayvsSaudi Arabia
Density: 16.8 vs 15.7 per km² · Higher wins ↑
Conquered Saudi Arabia.
Other category comparisons 2 other winning choices
All eight categories for Paraguay against Saudi Arabia
Category
Paraguay
Saudi Arabia
Result
Areakm² · Higher wins ↑
406,752
2,149,690
Would lose
Populationpeople · Higher wins ↑
6,844,146
33,702,731
Would lose
Wealth per personint’l $ · Higher wins ↑
17,585
71,624
Would lose
Densityper km² · Higher wins ↑ · Chosen
16.8
15.7
Would win
Highest peakm · Higher wins ↑
842
3,000
Would lose
Coastlinekm · Higher wins ↑
0
2,640
Would lose
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° S
23.5° N
Would win
8
Round 8Won20 countries · 4 lives left
CambodiavsNamibia
Population: 17,423,880 vs 2,963,095 people · Higher wins ↑
Conquered Namibia.
Other category comparisons 2 other winning choices
All eight categories for Cambodia against Namibia
Category
Cambodia
Namibia
Result
Areakm² · Higher wins ↑
181,035
824,292
Would lose
Populationpeople · Higher wins ↑ · Chosen
17,423,880
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
7,437
11,248
Would lose
Densityper km² · Higher wins ↑
96.2
3.6
Would win
Highest peakm · Higher wins ↑
1,810
2,573
Would lose
Coastlinekm · Higher wins ↑
443
1,572
Would lose
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
20.6° S
Would win
9
Round 9Won21 countries · 4 lives left
CzechiavsHaiti
Wealth per person: 56,062 vs 3,265 int’l $ · Higher wins ↑
Conquered Haiti.
Other category comparisons 1 other winning choice
All eight categories for Czechia against Haiti
Category
Czechia
Haiti
Result
Areakm² · Higher wins ↑
78,867
27,750
Would win
Populationpeople · Higher wins ↑
10,864,042
11,637,398
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
3,265
Would win
Densityper km² · Higher wins ↑
137.8
419.4
Would lose
Highest peakm · Higher wins ↑
1,602
2,674
Would lose
Coastlinekm · Higher wins ↑
0
1,771
Would lose
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
19.2° N
Would lose
10
Round 10Won22 countries · 4 lives left
RomaniavsNicaragua
Wealth per person: 45,982 vs 8,327 int’l $ · Higher wins ↑
Conquered Nicaragua.
Other category comparisons 4 other winning choices
All eight categories for Romania against Nicaragua
Category
Romania
Nicaragua
Result
Areakm² · Higher wins ↑
238,391
130,370
Would win
Populationpeople · Higher wins ↑
19,061,062
6,823,613
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
45,982
8,327
Would win
Densityper km² · Higher wins ↑
80.0
52.3
Would win
Highest peakm · Higher wins ↑
2,544
2,085
Would win
Coastlinekm · Higher wins ↑
225
910
Would lose
Flag colourscolours · Higher wins ↑
3
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.7° N
12.6° N
Would lose
11
Round 11Won23 countries · 4 lives left
ThailandvsMalawi
Population: 71,702,435 vs 21,104,482 people · Higher wins ↑
Conquered Malawi.
Other category comparisons 3 other winning choices
All eight categories for Thailand against Malawi
Category
Thailand
Malawi
Result
Areakm² · Higher wins ↑
513,120
118,484
Would win
Populationpeople · Higher wins ↑ · Chosen
71,702,435
21,104,482
Would win
Wealth per personint’l $ · Higher wins ↑
23,598
1,832
Would win
Densityper km² · Higher wins ↑
139.7
178.1
Would lose
Highest peakm · Higher wins ↑
2,565
3,002
Would lose
Coastlinekm · Higher wins ↑
3,219
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.5° N
13.4° S
Would lose
12
Round 12Won24 countries · 4 lives left
DenmarkvsLuxembourg
Area: 43,094 vs 2,586 km² · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 2 other winning choices
All eight categories for Denmark against Luxembourg
Category
Denmark
Luxembourg
Result
Areakm² · Higher wins ↑ · Chosen
43,094
2,586
Would win
Populationpeople · Higher wins ↑
5,946,952
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
77,425
152,596
Would lose
Densityper km² · Higher wins ↑
138.0
257.7
Would lose
Highest peakm · Higher wins ↑
171
559
Would lose
Coastlinekm · Higher wins ↑
7,314
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.9° N
49.7° N
Would lose
13
Round 13Won25 countries · 4 lives left
DR CongovsAndorra
Area: 2,344,858 vs 468 km² · Higher wins ↑
Conquered Andorra.
Other category comparisons 4 other winning choices
All eight categories for DR Congo against Andorra
Category
DR Congo
Andorra
Result
Areakm² · Higher wins ↑ · Chosen
2,344,858
468
Would win
Populationpeople · Higher wins ↑
105,789,731
80,856
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
71,790
Would lose
Densityper km² · Higher wins ↑
45.1
172.8
Would lose
Highest peakm · Higher wins ↑
5,110
2,946
Would win
Coastlinekm · Higher wins ↑
37
0
Would win
Flag colourscolours · Higher wins ↑
3
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.9° S
42.5° N
Would win
14
Round 14Won26 countries · 4 lives left
Burkina FasovsKazakhstan
Proximity to equator: 12.8° N vs 48.5° N from the equator · Closer wins ↓
Conquered Kazakhstan.
Other category comparisons 3 other winning choices
All eight categories for Burkina Faso against Kazakhstan
Category
Burkina Faso
Kazakhstan
Result
Areakm² · Higher wins ↑
274,200
2,724,900
Would lose
Populationpeople · Higher wins ↑
23,025,776
20,330,104
Would win
Wealth per personint’l $ · Higher wins ↑
2,762
38,547
Would lose
Densityper km² · Higher wins ↑
84.0
7.5
Would win
Highest peakm · Higher wins ↑
749
7,010
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.8° N
48.5° N
Would win
15
Round 15Won27 countries · 4 lives left
BurundivsBosnia and Herzegovina
Proximity to equator: 3.4° S vs 44.1° N from the equator · Closer wins ↓
Conquered Bosnia and Herzegovina.
Other category comparisons 3 other winning choices
All eight categories for Burundi against Bosnia and Herzegovina
Category
Burundi
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑
27,830
51,197
Would lose
Populationpeople · Higher wins ↑
13,689,450
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
23,376
Would lose
Densityper km² · Higher wins ↑
491.9
62.2
Would win
Highest peakm · Higher wins ↑
2,685
2,386
Would win
Coastlinekm · Higher wins ↑
0
20
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.4° S
44.1° N
Would win
16
Round 16Won28 countries · 4 lives left
IrelandvsIsrael
Coastline: 1,448 vs 273 km · Higher wins ↑
Conquered Israel.
Other category comparisons 3 other winning choices
All eight categories for Ireland against Israel
Category
Ireland
Israel
Result
Areakm² · Higher wins ↑
70,273
21,937
Would win
Populationpeople · Higher wins ↑
5,311,538
9,849,000
Would lose
Wealth per personint’l $ · Higher wins ↑
133,440
55,301
Would win
Densityper km² · Higher wins ↑
75.6
449.0
Would lose
Highest peakm · Higher wins ↑
1,041
2,224
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,448
273
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
30.9° N
Would lose
17
Round 17Won29 countries · 4 lives left
VietnamvsGermany
Population: 100,352,192 vs 83,287,273 people · Higher wins ↑
Conquered Germany.
Other category comparisons 4 other winning choices
All eight categories for Vietnam against Germany
Category
Vietnam
Germany
Result
Areakm² · Higher wins ↑
331,210
357,022
Would lose
Populationpeople · Higher wins ↑ · Chosen
100,352,192
83,287,273
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
72,262
Would lose
Densityper km² · Higher wins ↑
303.0
233.3
Would win
Highest peakm · Higher wins ↑
3,144
2,963
Would win
Coastlinekm · Higher wins ↑
3,444
2,389
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
51.0° N
Would win
18
Round 18Won30 countries · 4 lives left
PortugalvsSouth Korea
Flag colours: 6 vs 4 colours · Higher wins ↑
Conquered South Korea.
Other category comparisons 1 other winning choice
All eight categories for Portugal against South Korea
Category
Portugal
South Korea
Result
Areakm² · Higher wins ↑
92,090
99,720
Would lose
Populationpeople · Higher wins ↑
10,578,174
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑
49,800
57,430
Would lose
Densityper km² · Higher wins ↑
114.9
518.6
Would lose
Highest peakm · Higher wins ↑
2,351
1,950
Would win
Coastlinekm · Higher wins ↑
1,793
2,413
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
6
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.7° N
36.3° N
Would lose
19
Round 19Lost29 countries · 3 lives left
PolandvsFinland
Area: 312,685 vs 338,145 km² · Higher wins ↑
Returned to the world: Poland.
Other category comparisons 4 other winning choices
All eight categories for Poland against Finland
Category
Poland
Finland
Result
Areakm² · Higher wins ↑ · Chosen
312,685
338,145
Would lose
Populationpeople · Higher wins ↑
36,687,353
5,583,911
Would win
Wealth per personint’l $ · Higher wins ↑
48,473
63,467
Would lose
Densityper km² · Higher wins ↑
117.3
16.5
Would win
Highest peakm · Higher wins ↑
2,499
1,328
Would win
Coastlinekm · Higher wins ↑
440
1,250
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
DR Congovs
Burkina Faso
Burundi
Ireland
Vietnam
Portugal
Poland
Mozambique
Maldives
Tajikistan
Canada
Jamaica
Paraguay
Saudi Arabia
Cambodia
Namibia
Czechia
Haiti
Romania
Nicaragua
Thailand
Malawi
Denmark
Luxembourg
Andorra
Kazakhstan
Bosnia and Herzegovina
Israel
Germany
South Korea
Finland