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
CameroonvsNamibia
Density: 59.7 vs 3.6 per km² · Higher wins ↑
Conquered Namibia.
Other category comparisons 2 other winning choices
All eight categories for Cameroon against Namibia
Category
Cameroon
Namibia
Result
Areakm² · Higher wins ↑
475,440
824,292
Would lose
PopulationBlocked in Hard · people · Higher wins ↑
28,372,687
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
5,415
11,248
Would lose
Densityper km² · Higher wins ↑ · Chosen
59.7
3.6
Would win
Highest peakm · Higher wins ↑
4,045
2,573
Would win
Coastlinekm · Higher wins ↑
402
1,572
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
20.6° S
Would win
22
Round 22Won32 countries · 3 lives left
LithuaniavsDominican Republic
Area: 65,300 vs 48,670 km² · Higher wins ↑
Conquered Dominican Republic.
Other category comparisons 0 other winning choices
All eight categories for Lithuania against Dominican Republic
Category
Lithuania
Dominican Republic
Result
Areakm² · Higher wins ↑ · Chosen
65,300
48,670
Would win
Populationpeople · Higher wins ↑
2,871,585
11,331,265
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
52,720
25,861
Would win
Densityper km² · Higher wins ↑
44.0
232.8
Would lose
Highest peakm · Higher wins ↑
294
3,098
Would lose
Coastlinekm · Higher wins ↑
90
1,288
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
19.1° N
Would lose
23
Round 23Lost31 countries · 2 lives left
HondurasvsZimbabwe
Flag colours: 2 vs 6 colours · Higher wins ↑
Returned to the world: Honduras.
Other category comparisons 4 other winning choices
All eight categories for Honduras against Zimbabwe
Category
Honduras
Zimbabwe
Result
Areakm² · Higher wins ↑
112,090
390,757
Would lose
Populationpeople · Higher wins ↑
10,644,851
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑
7,184
5,796
Would win
Densityper km² · Higher wins ↑
95.0
41.8
Would win
Highest peakm · Higher wins ↑
2,870
2,592
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
823
0
Would win
Flag colourscolours · Higher wins ↑ · Chosen
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
14.7° N
19.0° S
Would win
24
Round 24Won32 countries · 2 lives left
AzerbaijanvsDjibouti
Wealth per person: 23,671 vs 7,232 int’l $ · Higher wins ↑
Conquered Djibouti.
Other category comparisons 3 other winning choices
All eight categories for Azerbaijan against Djibouti
Category
Azerbaijan
Djibouti
Result
Areakm² · Higher wins ↑
86,600
23,200
Would win
PopulationBlocked in Hard · people · Higher wins ↑
10,153,958
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
23,671
7,232
Would win
Densityper km² · Higher wins ↑
117.3
49.7
Would win
Highest peakm · Higher wins ↑
4,466
2,021
Would win
Coastlinekm · Higher wins ↑
0
314
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
11.4° N
Would lose
25
Round 25Won33 countries · 2 lives left
ColombiavsIceland
Area: 1,138,910 vs 103,000 km² · Higher wins ↑
Conquered Iceland.
Other category comparisons 3 other winning choices
All eight categories for Colombia against Iceland
Category
Colombia
Iceland
Result
Areakm² · Higher wins ↑ · Chosen
1,138,910
103,000
Would win
PopulationBlocked in Hard · people · Higher wins ↑
52,321,152
385,663
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
82,257
Would lose
Densityper km² · Higher wins ↑
45.9
3.7
Would win
Highest peakm · Higher wins ↑
5,730
2,110
Would win
Coastlinekm · Higher wins ↑
3,208
4,970
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
3.4° N
64.7° N
Would win
26
Round 26Won34 countries · 2 lives left
MalivsHungary
Proximity to equator: 18.6° N vs 47.3° N from the equator · Closer wins ↓
Conquered Hungary.
Other category comparisons 2 other winning choices
All eight categories for Mali against Hungary
Category
Mali
Hungary
Result
AreaBlocked in Hard · km² · Higher wins ↑
1,240,192
93,028
Would win
Populationpeople · Higher wins ↑
23,769,127
9,592,186
Would win
Wealth per personint’l $ · Higher wins ↑
3,178
46,376
Would lose
Densityper km² · Higher wins ↑
19.2
103.1
Would lose
Highest peakm · Higher wins ↑
1,155
1,014
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
18.6° N
47.3° N
Would win
27
Round 27Won35 countries · 2 lives left
BoliviavsCabo Verde
Highest peak: 6,542 vs 2,829 m · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 3 other winning choices
All eight categories for Bolivia against Cabo Verde
Category
Bolivia
Cabo Verde
Result
AreaBlocked in Hard · km² · Higher wins ↑
1,098,581
4,033
Would win
Populationpeople · Higher wins ↑
12,244,159
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
12,903
10,251
Would win
Densityper km² · Higher wins ↑
11.1
129.5
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,542
2,829
Would win
Coastlinekm · Higher wins ↑
0
965
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.7° S
15.0° N
Would lose
28
Round 28Won36 countries · 2 lives left
CroatiavsComoros
Area: 56,594 vs 2,235 km² · Higher wins ↑
Conquered Comoros.
Other category comparisons 3 other winning choices
All eight categories for Croatia against Comoros
Category
Croatia
Comoros
Result
Areakm² · Higher wins ↑ · Chosen
56,594
2,235
Would win
Populationpeople · Higher wins ↑
3,859,686
850,387
Would win
Wealth per personint’l $ · Higher wins ↑
47,760
3,897
Would win
Densityper km² · Higher wins ↑
68.2
380.5
Would lose
Highest peakm · Higher wins ↑
1,831
2,360
Would lose
CoastlineBlocked in Hard · km · Higher wins ↑
5,835
340
Would win
Flag colourscolours · Higher wins ↑
6
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
45.8° N
11.7° S
Would lose
29
Round 29Lost35 countries · 1 life 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
30
Round 30Won36 countries · 1 life left
PeruvsSlovakia
Highest peak: 6,746 vs 2,655 m · Higher wins ↑
Conquered Slovakia.
Other category comparisons 3 other winning choices
All eight categories for Peru against Slovakia
Category
Peru
Slovakia
Result
AreaBlocked in Hard · km² · Higher wins ↑
1,285,216
49,035
Would win
Populationpeople · Higher wins ↑
33,845,617
5,426,740
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
45,865
Would lose
Densityper km² · Higher wins ↑
26.3
110.7
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,746
2,655
Would win
Coastlinekm · Higher wins ↑
2,414
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
48.7° N
Would win
31
Round 31Won37 countries · 1 life left
TunisiavsSenegal
Coastline: 1,148 vs 531 km · Higher wins ↑
Conquered Senegal.
Other category comparisons 1 other winning choice
All eight categories for Tunisia against Senegal
Category
Tunisia
Senegal
Result
Areakm² · Higher wins ↑
163,610
196,722
Would lose
Populationpeople · Higher wins ↑
12,200,431
18,077,573
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
14,052
4,782
Would win
Densityper km² · Higher wins ↑
74.6
91.9
Would lose
Highest peakm · Higher wins ↑
1,544
648
Would win
Coastlinekm · Higher wins ↑ · Chosen
1,148
531
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.3° N
15.2° N
Would lose
32
Round 32Won38 countries · 1 life left
Republic of the CongovsLuxembourg
Population: 6,182,885 vs 666,430 people · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 3 other winning choices
All eight categories for Republic of the Congo against Luxembourg
Category
Republic of the Congo
Luxembourg
Result
AreaBlocked in Hard · km² · Higher wins ↑
342,000
2,586
Would win
Populationpeople · Higher wins ↑ · Chosen
6,182,885
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
6,856
152,596
Would lose
Densityper km² · Higher wins ↑
18.1
257.7
Would lose
Highest peakm · Higher wins ↑
1,020
559
Would win
Coastlinekm · Higher wins ↑
169
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
0.1° N
49.7° N
Would win
33
Round 33Won39 countries · 1 life left
MoroccovsCanada
Proximity to equator: 31.9° N vs 58.8° N from the equator · Closer wins ↓
Conquered Canada.
Other category comparisons 0 other winning choices
All eight categories for Morocco against Canada
Category
Morocco
Canada
Result
Areakm² · Higher wins ↑
446,550
9,984,670
Would lose
Populationpeople · Higher wins ↑
37,712,505
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
9,903
64,962
Would lose
DensityBlocked in Hard · per km² · Higher wins ↑
84.5
4.0
Would win
Highest peakm · Higher wins ↑
4,165
5,959
Would lose
Coastlinekm · Higher wins ↑
1,835
202,080
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
31.9° N
58.8° N
Would win
34
Round 34Won40 countries · 1 life left
Trinidad and TobagovsEquatorial Guinea
Wealth per person: 34,652 vs 16,997 int’l $ · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 1 other winning choice
All eight categories for Trinidad and Tobago against Equatorial Guinea
Category
Trinidad and Tobago
Equatorial Guinea
Result
Areakm² · Higher wins ↑
5,128
28,051
Would lose
Populationpeople · Higher wins ↑
1,367,510
1,847,549
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
34,652
16,997
Would win
DensityBlocked in Hard · per km² · Higher wins ↑
266.7
65.9
Would win
Highest peakm · Higher wins ↑
940
3,008
Would lose
Coastlinekm · Higher wins ↑
362
296
Would win
Flag colourscolours · Higher wins ↑
3
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.3° N
1.6° N
Would lose
35
Round 35Won41 countries · 1 life left
GhanavsEcuador
Population: 33,787,914 vs 17,980,083 people · Higher wins ↑
Conquered Ecuador.
Other category comparisons 0 other winning choices
All eight categories for Ghana against Ecuador
Category
Ghana
Ecuador
Result
Areakm² · Higher wins ↑
238,533
283,561
Would lose
Populationpeople · Higher wins ↑ · Chosen
33,787,914
17,980,083
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
15,907
Would lose
DensityBlocked in Hard · per km² · Higher wins ↑
141.6
63.4
Would win
Highest peakm · Higher wins ↑
885
6,267
Would lose
Coastlinekm · Higher wins ↑
539
2,237
Would lose
Flag colourscolours · Higher wins ↑
4
11
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
1.2° S
Would lose
36
Round 36Lost40 countries · 0 lives left
BahamasvsPanama
Density: 28.8 vs 59.1 per km² · Higher wins ↑
Returned to the world: Bahamas.
Other category comparisons 1 other winning choice
All eight categories for Bahamas against Panama
Category
Bahamas
Panama
Result
Areakm² · Higher wins ↑
13,880
75,420
Would lose
Populationpeople · Higher wins ↑
399,440
4,458,759
Would lose
Wealth per personint’l $ · Higher wins ↑
39,122
39,846
Would lose
Densityper km² · Higher wins ↑ · Chosen
28.8
59.1
Would lose
Highest peakm · Higher wins ↑
64
3,475
Would lose
Coastlinekm · Higher wins ↑
3,542
2,490
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓