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
UruguayvsGuinea
Wealth per person: 34,546 vs 4,337 int’l $ · Higher wins ↑
Conquered Guinea.
Other category comparisons 2 other winning choices
All eight categories for Uruguay against Guinea
Category
Uruguay
Guinea
Result
Areakm² · Higher wins ↑
176,215
245,857
Would lose
Populationpeople · Higher wins ↑
3,388,081
14,405,468
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
34,546
4,337
Would win
Densityper km² · Higher wins ↑
19.2
58.6
Would lose
Highest peakm · Higher wins ↑
514
1,752
Would lose
Coastlinekm · Higher wins ↑
660
320
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.9° S
10.7° N
Would lose
2
Round 2Won14 countries · 4 lives left
MoldovavsHonduras
Wealth per person: 17,751 vs 7,184 int’l $ · Higher wins ↑
Conquered Honduras.
Other category comparisons 1 other winning choice
All eight categories for Moldova against Honduras
Category
Moldova
Honduras
Result
Areakm² · Higher wins ↑
33,851
112,090
Would lose
Populationpeople · Higher wins ↑
2,457,783
10,644,851
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,751
7,184
Would win
Densityper km² · Higher wins ↑
72.6
95.0
Would lose
Highest peakm · Higher wins ↑
430
2,870
Would lose
Coastlinekm · Higher wins ↑
0
823
Would lose
Flag colourscolours · Higher wins ↑
9
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
14.7° N
Would lose
3
Round 3Won15 countries · 4 lives left
IrelandvsCzechia
Wealth per person: 133,440 vs 56,062 int’l $ · Higher wins ↑
Conquered Czechia.
Other category comparisons 1 other winning choice
All eight categories for Ireland against Czechia
Category
Ireland
Czechia
Result
Areakm² · Higher wins ↑
70,273
78,867
Would lose
Populationpeople · Higher wins ↑
5,311,538
10,864,042
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
133,440
56,062
Would win
Densityper km² · Higher wins ↑
75.6
137.8
Would lose
Highest peakm · Higher wins ↑
1,041
1,602
Would lose
Coastlinekm · Higher wins ↑
1,448
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
49.8° N
Would lose
4
Round 4Won16 countries · 4 lives left
MontenegrovsGabon
Wealth per person: 31,863 vs 20,773 int’l $ · Higher wins ↑
Conquered Gabon.
Other category comparisons 3 other winning choices
All eight categories for Montenegro against Gabon
Category
Montenegro
Gabon
Result
Areakm² · Higher wins ↑
13,812
267,667
Would lose
Populationpeople · Higher wins ↑
623,529
2,484,789
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
31,863
20,773
Would win
Densityper km² · Higher wins ↑
45.1
9.3
Would win
Highest peakm · Higher wins ↑
2,534
1,050
Would win
Coastlinekm · Higher wins ↑
293.5
885
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.8° N
0.6° S
Would lose
5
Round 5Won17 countries · 4 lives left
ColombiavsBelgium
Proximity to equator: 3.4° N vs 50.8° N from the equator · Closer wins ↓
Conquered Belgium.
Other category comparisons 4 other winning choices
All eight categories for Colombia against Belgium
Category
Colombia
Belgium
Result
Areakm² · Higher wins ↑
1,138,910
30,528
Would win
Populationpeople · Higher wins ↑
52,321,152
11,779,946
Would win
Wealth per personint’l $ · Higher wins ↑
21,282
72,630
Would lose
Densityper km² · Higher wins ↑
45.9
385.9
Would lose
Highest peakm · Higher wins ↑
5,730
694
Would win
Coastlinekm · Higher wins ↑
3,208
66.5
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.4° N
50.8° N
Would win
6
Round 6Won18 countries · 4 lives left
CyprusvsLibya
Wealth per person: 59,875 vs 13,858 int’l $ · Higher wins ↑
Conquered Libya.
Other category comparisons 1 other winning choice
All eight categories for Cyprus against Libya
Category
Cyprus
Libya
Result
Areakm² · Higher wins ↑
9,251
1,759,540
Would lose
Populationpeople · Higher wins ↑
1,344,976
7,305,659
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
59,875
13,858
Would win
Densityper km² · Higher wins ↑
145.4
4.2
Would win
Highest peakm · Higher wins ↑
1,951
2,267
Would lose
Coastlinekm · Higher wins ↑
648
1,770
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
26.1° N
Would lose
7
Round 7Won19 countries · 4 lives left
SudanvsRepublic of the Congo
Area: 1,861,484 vs 342,000 km² · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 5 other winning choices
All eight categories for Sudan against Republic of the Congo
Category
Sudan
Republic of the Congo
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
342,000
Would win
Populationpeople · Higher wins ↑
50,042,791
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
6,856
Would lose
Densityper km² · Higher wins ↑
26.9
18.1
Would win
Highest peakm · Higher wins ↑
3,042
1,020
Would win
Coastlinekm · Higher wins ↑
853
169
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
0.1° N
Would lose
8
Round 8Won20 countries · 4 lives left
MyanmarvsKyrgyzstan
Coastline: 1,930 vs 0 km · Higher wins ↑
Conquered Kyrgyzstan.
Other category comparisons 5 other winning choices
All eight categories for Myanmar against Kyrgyzstan
Category
Myanmar
Kyrgyzstan
Result
Areakm² · Higher wins ↑
676,578
199,951
Would win
Populationpeople · Higher wins ↑
54,133,798
7,099,750
Would win
Wealth per personint’l $ · Higher wins ↑
5,958
7,304
Would lose
Densityper km² · Higher wins ↑
80.0
35.5
Would win
Highest peakm · Higher wins ↑
5,870
7,439
Would lose
Coastlinekm · Higher wins ↑ · Chosen
1,930
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
21.6° N
41.7° N
Would win
9
Round 9Won21 countries · 4 lives left
MoroccovsPapua New Guinea
Wealth per person: 9,903 vs 4,672 int’l $ · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 2 other winning choices
All eight categories for Morocco against Papua New Guinea
Category
Morocco
Papua New Guinea
Result
Areakm² · Higher wins ↑
446,550
462,840
Would lose
Populationpeople · Higher wins ↑
37,712,505
10,389,635
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
9,903
4,672
Would win
Densityper km² · Higher wins ↑
84.5
22.4
Would win
Highest peakm · Higher wins ↑
4,165
4,509
Would lose
Coastlinekm · Higher wins ↑
1,835
5,152
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
31.9° N
5.5° S
Would lose
10
Round 10Won22 countries · 4 lives left
UkrainevsMauritania
Wealth per person: 17,680 vs 6,972 int’l $ · Higher wins ↑
Conquered Mauritania.
Other category comparisons 4 other winning choices
All eight categories for Ukraine against Mauritania
Category
Ukraine
Mauritania
Result
Areakm² · Higher wins ↑
603,550
1,030,700
Would lose
Populationpeople · Higher wins ↑
37,732,836
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,680
6,972
Would win
Densityper km² · Higher wins ↑
62.5
4.9
Would win
Highest peakm · Higher wins ↑
2,061
915
Would win
Coastlinekm · Higher wins ↑
2,782
754
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
19.4° N
Would lose
11
Round 11Won23 countries · 4 lives left
BeninvsBurkina Faso
Coastline: 121 vs 0 km · Higher wins ↑
Conquered Burkina Faso.
Other category comparisons 3 other winning choices
All eight categories for Benin against Burkina Faso
Category
Benin
Burkina Faso
Result
Areakm² · Higher wins ↑
112,622
274,200
Would lose
Populationpeople · Higher wins ↑
14,111,034
23,025,776
Would lose
Wealth per personint’l $ · Higher wins ↑
4,133
2,762
Would win
Densityper km² · Higher wins ↑
125.3
84.0
Would win
Highest peakm · Higher wins ↑
675
749
Would lose
Coastlinekm · Higher wins ↑ · Chosen
121
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
10.4° N
12.8° N
Would win
12
Round 12Won24 countries · 4 lives left
VietnamvsGambia
Coastline: 3,444 vs 80 km · Higher wins ↑
Conquered Gambia.
Other category comparisons 5 other winning choices
All eight categories for Vietnam against Gambia
Category
Vietnam
Gambia
Result
Areakm² · Higher wins ↑
331,210
11,300
Would win
Populationpeople · Higher wins ↑
100,352,192
2,697,845
Would win
Wealth per personint’l $ · Higher wins ↑
15,034
3,292
Would win
Densityper km² · Higher wins ↑
303.0
238.7
Would win
Highest peakm · Higher wins ↑
3,144
63
Would win
Coastlinekm · Higher wins ↑ · Chosen
3,444
80
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
21.7° N
13.6° N
Would lose
13
Round 13Lost23 countries · 3 lives left
UruguayvsGuyana
Wealth per person: 34,546 vs 54,774 int’l $ · Higher wins ↑
Returned to the world: Uruguay.
Other category comparisons 3 other winning choices
All eight categories for Uruguay against Guyana
Category
Uruguay
Guyana
Result
Areakm² · Higher wins ↑
176,215
214,969
Would lose
Populationpeople · Higher wins ↑
3,388,081
826,353
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
34,546
54,774
Would lose
Densityper km² · Higher wins ↑
19.2
3.8
Would win
Highest peakm · Higher wins ↑
514
2,775
Would lose
Coastlinekm · Higher wins ↑
660
459
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.9° S
2.7° N
Would lose
14
Round 14Lost22 countries · 2 lives left
GuineavsCambodia
Density: 58.6 vs 96.2 per km² · Higher wins ↑
Returned to the world: Guinea.
Other category comparisons 2 other winning choices
All eight categories for Guinea against Cambodia
Category
Guinea
Cambodia
Result
Areakm² · Higher wins ↑
245,857
181,035
Would win
Populationpeople · Higher wins ↑
14,405,468
17,423,880
Would lose
Wealth per personint’l $ · Higher wins ↑
4,337
7,437
Would lose
Densityper km² · Higher wins ↑ · Chosen
58.6
96.2
Would lose
Highest peakm · Higher wins ↑
1,752
1,810
Would lose
Coastlinekm · Higher wins ↑
320
443
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
10.7° N
12.6° N
Would win
15
Round 15Won23 countries · 2 lives left
MoldovavsDjibouti
Wealth per person: 17,751 vs 7,232 int’l $ · Higher wins ↑
Conquered Djibouti.
Other category comparisons 4 other winning choices
All eight categories for Moldova against Djibouti
Category
Moldova
Djibouti
Result
Areakm² · Higher wins ↑
33,851
23,200
Would win
Populationpeople · Higher wins ↑
2,457,783
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
17,751
7,232
Would win
Densityper km² · Higher wins ↑
72.6
49.7
Would win
Highest peakm · Higher wins ↑
430
2,021
Would lose
Coastlinekm · Higher wins ↑
0
314
Would lose
Flag colourscolours · Higher wins ↑
9
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.5° N
11.4° N
Would lose
16
Round 16Won24 countries · 2 lives left
HondurasvsJapan
Proximity to equator: 14.7° N vs 36.7° N from the equator · Closer wins ↓
Conquered Japan.
Other category comparisons 0 other winning choices
All eight categories for Honduras against Japan
Category
Honduras
Japan
Result
Areakm² · Higher wins ↑
112,090
377,915
Would lose
Populationpeople · Higher wins ↑
10,644,851
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑
7,184
52,726
Would lose
Densityper km² · Higher wins ↑
95.0
329.5
Would lose
Highest peakm · Higher wins ↑
2,870
3,776
Would lose
Coastlinekm · Higher wins ↑
823
29,751
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
14.7° N
36.7° N
Would win
17
Round 17Won25 countries · 2 lives left
IrelandvsBahrain
Area: 70,273 vs 760 km² · Higher wins ↑
Conquered Bahrain.
Other category comparisons 5 other winning choices
All eight categories for Ireland against Bahrain
Category
Ireland
Bahrain
Result
Areakm² · Higher wins ↑ · Chosen
70,273
760
Would win
Populationpeople · Higher wins ↑
5,311,538
1,577,059
Would win
Wealth per personint’l $ · Higher wins ↑
133,440
64,224
Would win
Densityper km² · Higher wins ↑
75.6
2,075.1
Would lose
Highest peakm · Higher wins ↑
1,041
135
Would win
Coastlinekm · Higher wins ↑
1,448
161
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
53.1° N
26.0° N
Would lose
18
Round 18Won26 countries · 2 lives left
CzechiavsBulgaria
Wealth per person: 56,062 vs 38,829 int’l $ · Higher wins ↑
Conquered Bulgaria.
Other category comparisons 2 other winning choices
All eight categories for Czechia against Bulgaria
Category
Czechia
Bulgaria
Result
Areakm² · Higher wins ↑
78,867
110,879
Would lose
Populationpeople · Higher wins ↑
10,864,042
6,446,596
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
38,829
Would win
Densityper km² · Higher wins ↑
137.8
58.1
Would win
Highest peakm · Higher wins ↑
1,602
2,925
Would lose
Coastlinekm · Higher wins ↑
0
354
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
42.5° N
Would lose
19
Round 19Lost25 countries · 1 life left
MontenegrovsSwitzerland
Density: 45.1 vs 215.3 per km² · Higher wins ↑
Returned to the world: Montenegro.
Other category comparisons 3 other winning choices
All eight categories for Montenegro against Switzerland
Category
Montenegro
Switzerland
Result
Areakm² · Higher wins ↑
13,812
41,277
Would lose
Populationpeople · Higher wins ↑
623,529
8,888,822
Would lose
Wealth per personint’l $ · Higher wins ↑
31,863
93,940
Would lose
Densityper km² · Higher wins ↑ · Chosen
45.1
215.3
Would lose
Highest peakm · Higher wins ↑
2,534
4,634
Would lose
Coastlinekm · Higher wins ↑
293.5
0
Would win
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Uruguayvs
Guinea
Moldova
Honduras
Ireland
Czechia
Montenegro
Gabon
Colombia
Belgium
Cyprus
Libya
Sudan
Republic of the Congo
Myanmar
Kyrgyzstan
Morocco
Papua New Guinea
Ukraine
Mauritania
Benin
Burkina Faso
Vietnam
Gambia
Guyana
Cambodia
Djibouti
Japan
Bahrain
Bulgaria
Switzerland