Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
21
Round 21Won31 countries · 3 lives left
GuineavsDR Congo
Wealth per person: 4,337 vs 1,732 int’l $ · Higher wins ↑
Conquered DR Congo.
Other category comparisons 2 other winning choices
All eight categories for Guinea against DR Congo
Category
Guinea
DR Congo
Result
Areakm² · Higher wins ↑
245,857
2,344,858
Would lose
Populationpeople · Higher wins ↑
14,405,468
105,789,731
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
4,337
1,732
Would win
Densityper km² · Higher wins ↑
58.6
45.1
Would win
Highest peakm · Higher wins ↑
1,752
5,110
Would lose
Coastlinekm · Higher wins ↑
320
37
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
10.7° N
1.9° S
Would lose
22
Round 22Won32 countries · 3 lives left
LaosvsArmenia
Area: 236,800 vs 29,743 km² · Higher wins ↑
Conquered Armenia.
Other category comparisons 2 other winning choices
All eight categories for Laos against Armenia
Category
Laos
Armenia
Result
Areakm² · Higher wins ↑ · Chosen
236,800
29,743
Would win
Populationpeople · Higher wins ↑
7,664,993
2,964,300
Would win
Wealth per personint’l $ · Higher wins ↑
9,299
21,552
Would lose
Densityper km² · Higher wins ↑
32.4
99.7
Would lose
Highest peakm · Higher wins ↑
2,817
4,090
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
19.6° N
40.6° N
Would win
23
Round 23Won33 countries · 3 lives left
ZimbabwevsGermany
Proximity to equator: 19.0° S vs 51.0° N from the equator · Closer wins ↓
Conquered Germany.
Other category comparisons 2 other winning choices
All eight categories for Zimbabwe against Germany
Category
Zimbabwe
Germany
Result
Areakm² · Higher wins ↑
390,757
357,022
Would win
Populationpeople · Higher wins ↑
16,340,822
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
5,796
72,262
Would lose
Densityper km² · Higher wins ↑
41.8
233.3
Would lose
Highest peakm · Higher wins ↑
2,592
2,963
Would lose
Coastlinekm · Higher wins ↑
0
2,389
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
19.0° S
51.0° N
Would win
24
Round 24Lost32 countries · 2 lives left
MontenegrovsPakistan
Density: 45.1 vs 310.9 per km² · Higher wins ↑
Returned to the world: Montenegro.
Other category comparisons 2 other winning choices
All eight categories for Montenegro against Pakistan
Category
Montenegro
Pakistan
Result
Areakm² · Higher wins ↑
13,812
796,095
Would lose
Populationpeople · Higher wins ↑
623,529
247,504,495
Would lose
Wealth per personint’l $ · Higher wins ↑
31,863
6,019
Would win
Densityper km² · Higher wins ↑ · Chosen
45.1
310.9
Would lose
Highest peakm · Higher wins ↑
2,534
8,611
Would lose
Coastlinekm · Higher wins ↑
293.5
1,046
Would lose
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.8° N
27.8° N
Would lose
25
Round 25Won33 countries · 2 lives left
ArgentinavsNiger
Population: 45,538,401 vs 26,159,867 people · Higher wins ↑
Conquered Niger.
Other category comparisons 5 other winning choices
All eight categories for Argentina against Niger
Category
Argentina
Niger
Result
Areakm² · Higher wins ↑
2,780,400
1,267,000
Would win
Populationpeople · Higher wins ↑ · Chosen
45,538,401
26,159,867
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
1,903
Would win
Densityper km² · Higher wins ↑
16.4
20.6
Would lose
Highest peakm · Higher wins ↑
6,962
2,022
Would win
Coastlinekm · Higher wins ↑
4,989
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
17.6° N
Would lose
26
Round 26Won34 countries · 2 lives left
BelarusvsEstonia
Area: 207,600 vs 45,228 km² · Higher wins ↑
Conquered Estonia.
Other category comparisons 4 other winning choices
All eight categories for Belarus against Estonia
Category
Belarus
Estonia
Result
Areakm² · Higher wins ↑ · Chosen
207,600
45,228
Would win
Populationpeople · Higher wins ↑
9,178,298
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
30,860
48,848
Would lose
Densityper km² · Higher wins ↑
44.2
30.3
Would win
Highest peakm · Higher wins ↑
346
318
Would win
Coastlinekm · Higher wins ↑
0
3,794
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.8° N
58.6° N
Would win
27
Round 27Won35 countries · 2 lives left
UgandavsCabo Verde
Density: 201.9 vs 129.5 per km² · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 5 other winning choices
All eight categories for Uganda against Cabo Verde
Category
Uganda
Cabo Verde
Result
Areakm² · Higher wins ↑
241,038
4,033
Would win
Populationpeople · Higher wins ↑
48,656,601
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
3,100
10,251
Would lose
Densityper km² · Higher wins ↑ · Chosen
201.9
129.5
Would win
Highest peakm · Higher wins ↑
5,110
2,829
Would win
Coastlinekm · Higher wins ↑
0
965
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.0° N
15.0° N
Would win
28
Round 28Won36 countries · 2 lives left
BangladeshvsPortugal
Population: 171,466,990 vs 10,578,174 people · Higher wins ↑
Conquered Portugal.
Other category comparisons 3 other winning choices
All eight categories for Bangladesh against Portugal
Category
Bangladesh
Portugal
Result
Areakm² · Higher wins ↑
148,460
92,090
Would win
Populationpeople · Higher wins ↑ · Chosen
171,466,990
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
49,800
Would lose
Densityper km² · Higher wins ↑
1,155.0
114.9
Would win
Highest peakm · Higher wins ↑
1,060
2,351
Would lose
Coastlinekm · Higher wins ↑
580
1,793
Would lose
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
40.7° N
Would win
29
Round 29Won37 countries · 2 lives left
Costa RicavsUzbekistan
Density: 99.9 vs 79.7 per km² · Higher wins ↑
Conquered Uzbekistan.
Other category comparisons 3 other winning choices
All eight categories for Costa Rica against Uzbekistan
Category
Costa Rica
Uzbekistan
Result
Areakm² · Higher wins ↑
51,100
447,400
Would lose
Populationpeople · Higher wins ↑
5,105,525
35,652,307
Would lose
Wealth per personint’l $ · Higher wins ↑
29,248
11,679
Would win
Densityper km² · Higher wins ↑ · Chosen
99.9
79.7
Would win
Highest peakm · Higher wins ↑
3,819
4,643
Would lose
Coastlinekm · Higher wins ↑
1,290
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.1° N
41.5° N
Would win
30
Round 30Won38 countries · 2 lives left
United KingdomvsLatvia
Population: 68,526,000 vs 1,883,710 people · Higher wins ↑
Conquered Latvia.
Other category comparisons 7 other winning choices
All eight categories for United Kingdom against Latvia
Category
United Kingdom
Latvia
Result
Areakm² · Higher wins ↑
243,610
64,589
Would win
Populationpeople · Higher wins ↑ · Chosen
68,526,000
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
60,787
42,784
Would win
Densityper km² · Higher wins ↑
281.3
29.2
Would win
Highest peakm · Higher wins ↑
1,345
312
Would win
Coastlinekm · Higher wins ↑
12,429
498
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
56.6° N
Would win
31
Round 31Won39 countries · 2 lives left
AndorravsChile
Density: 172.8 vs 26.0 per km² · Higher wins ↑
Conquered Chile.
Other category comparisons 2 other winning choices
All eight categories for Andorra against Chile
Category
Andorra
Chile
Result
Areakm² · Higher wins ↑
468
756,102
Would lose
Populationpeople · Higher wins ↑
80,856
19,658,835
Would lose
Wealth per personint’l $ · Higher wins ↑
71,790
33,174
Would win
Densityper km² · Higher wins ↑ · Chosen
172.8
26.0
Would win
Highest peakm · Higher wins ↑
2,946
6,893
Would lose
Coastlinekm · Higher wins ↑
0
6,435
Would lose
Flag colourscolours · Higher wins ↑
7
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
23.4° S
Would lose
32
Round 32Won40 countries · 2 lives left
New ZealandvsBolivia
Wealth per person: 54,950 vs 12,903 int’l $ · Higher wins ↑
Conquered Bolivia.
Other category comparisons 2 other winning choices
All eight categories for New Zealand against Bolivia
Category
New Zealand
Bolivia
Result
Areakm² · Higher wins ↑
268,838
1,098,581
Would lose
Populationpeople · Higher wins ↑
5,200,000
12,244,159
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
54,950
12,903
Would win
Densityper km² · Higher wins ↑
19.3
11.1
Would win
Highest peakm · Higher wins ↑
3,724
6,542
Would lose
Coastlinekm · Higher wins ↑
15,134
0
Would win
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
16.7° S
Would lose
33
Round 33Won41 countries · 2 lives left
GhanavsSierra Leone
Area: 238,533 vs 71,740 km² · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 6 other winning choices
All eight categories for Ghana against Sierra Leone
Category
Ghana
Sierra Leone
Result
Areakm² · Higher wins ↑ · Chosen
238,533
71,740
Would win
Populationpeople · Higher wins ↑
33,787,914
8,460,512
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
3,371
Would win
Densityper km² · Higher wins ↑
141.6
117.9
Would win
Highest peakm · Higher wins ↑
885
1,948
Would lose
Coastlinekm · Higher wins ↑
539
402
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
8.7° N
Would win
34
Round 34Won42 countries · 2 lives left
PeruvsEswatini
Area: 1,285,216 vs 17,364 km² · Higher wins ↑
Conquered Eswatini.
Other category comparisons 5 other winning choices
All eight categories for Peru against Eswatini
Category
Peru
Eswatini
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
17,364
Would win
Populationpeople · Higher wins ↑
33,845,617
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
11,309
Would win
Densityper km² · Higher wins ↑
26.3
70.9
Would lose
Highest peakm · Higher wins ↑
6,746
1,862
Would win
Coastlinekm · Higher wins ↑
2,414
0
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
26.6° S
Would win
35
Round 35Won43 countries · 2 lives left
SudanvsGabon
Area: 1,861,484 vs 267,667 km² · Higher wins ↑
Conquered Gabon.
Other category comparisons 4 other winning choices
All eight categories for Sudan against Gabon
Category
Sudan
Gabon
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
267,667
Would win
Populationpeople · Higher wins ↑
50,042,791
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
20,773
Would lose
Densityper km² · Higher wins ↑
26.9
9.3
Would win
Highest peakm · Higher wins ↑
3,042
1,050
Would win
Coastlinekm · Higher wins ↑
853
885
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
0.6° S
Would lose
36
Round 36Lost42 countries · 1 life left
BeninvsTogo
Density: 125.3 vs 144.8 per km² · Higher wins ↑
Returned to the world: Benin.
Other category comparisons 4 other winning choices
All eight categories for Benin against Togo
Category
Benin
Togo
Result
Areakm² · Higher wins ↑
112,622
56,785
Would win
Populationpeople · Higher wins ↑
14,111,034
8,223,850
Would win
Wealth per personint’l $ · Higher wins ↑
4,133
3,572
Would win
Densityper km² · Higher wins ↑ · Chosen
125.3
144.8
Would lose
Highest peakm · Higher wins ↑
675
986
Would lose
Coastlinekm · Higher wins ↑
121
56
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.4° N
8.9° N
Would lose
37
Round 37Won43 countries · 1 life left
MalawivsPalestine
Area: 118,484 vs 6,220 km² · Higher wins ↑
Conquered Palestine.
Other category comparisons 3 other winning choices
All eight categories for Malawi against Palestine
Category
Malawi
Palestine
Result
Areakm² · Higher wins ↑ · Chosen
118,484
6,220
Would win
Populationpeople · Higher wins ↑
21,104,482
5,165,775
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
6,179
Would lose
Densityper km² · Higher wins ↑
178.1
830.5
Would lose
Highest peakm · Higher wins ↑
3,002
1,020
Would win
Coastlinekm · Higher wins ↑
0
40
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Guineavs
DR Congo
Laos
Armenia
Zimbabwe
Germany
Montenegro
Pakistan
Argentina
Niger
Belarus
Estonia
Uganda
Cabo Verde
Bangladesh
Portugal
Costa Rica
Uzbekistan
United Kingdom
Latvia
Andorra
Chile
New Zealand
Bolivia
Ghana
Sierra Leone
Peru
Eswatini
Sudan
Gabon
Benin
Togo
Malawi
Palestine