Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
41
Round 41Won53 countries · 4 lives left
NetherlandsvsSwitzerland
Coastline: 451 vs 0 km · Higher wins ↑
Conquered Switzerland.
Other category comparisons 4 other winning choices
All eight categories for Netherlands against Switzerland
Category
Netherlands
Switzerland
Result
Areakm² · Higher wins ↑
41,543
41,277
Would win
Populationpeople · Higher wins ↑
17,877,117
8,888,822
Would win
Wealth per personint’l $ · Higher wins ↑
80,392
93,940
Would lose
Densityper km² · Higher wins ↑
430.3
215.3
Would win
Highest peakm · Higher wins ↑
322
4,634
Would lose
Coastlinekm · Higher wins ↑ · Chosen
451
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
52.2° N
46.7° N
Would lose
42
Round 42Won54 countries · 4 lives left
United KingdomvsNamibia
Population: 68,526,000 vs 2,963,095 people · Higher wins ↑
Conquered Namibia.
Other category comparisons 3 other winning choices
All eight categories for United Kingdom against Namibia
Category
United Kingdom
Namibia
Result
Areakm² · Higher wins ↑
243,610
824,292
Would lose
Populationpeople · Higher wins ↑ · Chosen
68,526,000
2,963,095
Would win
Wealth per personint’l $ · Higher wins ↑
60,787
11,248
Would win
Densityper km² · Higher wins ↑
281.3
3.6
Would win
Highest peakm · Higher wins ↑
1,345
2,573
Would lose
Coastlinekm · Higher wins ↑
12,429
1,572
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
20.6° S
Would lose
43
Round 43Won55 countries · 4 lives left
MaldivesvsDjibouti
Proximity to equator: 3.3° N vs 11.4° N from the equator · Closer wins ↓
Conquered Djibouti.
Other category comparisons 3 other winning choices
All eight categories for Maldives against Djibouti
Category
Maldives
Djibouti
Result
Areakm² · Higher wins ↑
298
23,200
Would lose
Populationpeople · Higher wins ↑
525,994
1,152,944
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
7,232
Would win
Densityper km² · Higher wins ↑
1,765.1
49.7
Would win
Highest peakm · Higher wins ↑
5
2,021
Would lose
Coastlinekm · Higher wins ↑
644
314
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.3° N
11.4° N
Would win
44
Round 44Won56 countries · 4 lives left
GuyanavsTrinidad and Tobago
Area: 214,969 vs 5,128 km² · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 5 other winning choices
All eight categories for Guyana against Trinidad and Tobago
Category
Guyana
Trinidad and Tobago
Result
Areakm² · Higher wins ↑ · Chosen
214,969
5,128
Would win
Populationpeople · Higher wins ↑
826,353
1,367,510
Would lose
Wealth per personint’l $ · Higher wins ↑
54,774
34,652
Would win
Densityper km² · Higher wins ↑
3.8
266.7
Would lose
Highest peakm · Higher wins ↑
2,775
940
Would win
Coastlinekm · Higher wins ↑
459
362
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
2.7° N
10.3° N
Would win
45
Round 45Won57 countries · 4 lives left
EritreavsRepublic of the Congo
Coastline: 2,234 vs 169 km · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 3 other winning choices
All eight categories for Eritrea against Republic of the Congo
Category
Eritrea
Republic of the Congo
Result
Areakm² · Higher wins ↑
117,600
342,000
Would lose
Populationpeople · Higher wins ↑
3,470,390
6,182,885
Would lose
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
6,856
Unavailable
Densityper km² · Higher wins ↑
29.5
18.1
Would win
Highest peakm · Higher wins ↑
3,018
1,020
Would win
Coastlinekm · Higher wins ↑ · Chosen
2,234
169
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.0° N
0.1° N
Would lose
46
Round 46Won58 countries · 4 lives left
SurinamevsNorth Korea
Proximity to equator: 4.1° N vs 39.9° N from the equator · Closer wins ↓
Conquered North Korea.
Other category comparisons 2 other winning choices
All eight categories for Suriname against North Korea
Category
Suriname
North Korea
Result
Areakm² · Higher wins ↑
163,820
120,538
Would win
Populationpeople · Higher wins ↑
628,886
26,418,204
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
21,128
Unavailable
Unavailable
Densityper km² · Higher wins ↑
3.8
219.2
Would lose
Highest peakm · Higher wins ↑
1,230
2,744
Would lose
Coastlinekm · Higher wins ↑
386
2,495
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.1° N
39.9° N
Would win
47
Round 47Won59 countries · 4 lives left
CameroonvsSierra Leone
Area: 475,440 vs 71,740 km² · Higher wins ↑
Conquered Sierra Leone.
Other category comparisons 4 other winning choices
All eight categories for Cameroon against Sierra Leone
Category
Cameroon
Sierra Leone
Result
Areakm² · Higher wins ↑ · Chosen
475,440
71,740
Would win
Populationpeople · Higher wins ↑
28,372,687
8,460,512
Would win
Wealth per personint’l $ · Higher wins ↑
5,415
3,371
Would win
Densityper km² · Higher wins ↑
59.7
117.9
Would lose
Highest peakm · Higher wins ↑
4,045
1,948
Would win
Coastlinekm · Higher wins ↑
402
402
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
8.7° N
Would win
48
Round 48Won60 countries · 4 lives left
BruneivsLesotho
Coastline: 161 vs 0 km · Higher wins ↑
Conquered Lesotho.
Other category comparisons 3 other winning choices
All eight categories for Brunei against Lesotho
Category
Brunei
Lesotho
Result
Areakm² · Higher wins ↑
5,765
30,355
Would lose
Populationpeople · Higher wins ↑
458,949
2,311,472
Would lose
Wealth per personint’l $ · Higher wins ↑
85,103
2,880
Would win
Densityper km² · Higher wins ↑
79.6
76.1
Would win
Highest peakm · Higher wins ↑
1,850
3,482
Would lose
Coastlinekm · Higher wins ↑ · Chosen
161
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
29.4° S
Would win
49
Round 49Won61 countries · 4 lives left
BulgariavsVenezuela
Density: 58.1 vs 31.0 per km² · Higher wins ↑
Conquered Venezuela.
Other category comparisons 0 other winning choices
All eight categories for Bulgaria against Venezuela
Category
Bulgaria
Venezuela
Result
Areakm² · Higher wins ↑
110,879
912,050
Would lose
Populationpeople · Higher wins ↑
6,446,596
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
38,829
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
58.1
31.0
Would win
Highest peakm · Higher wins ↑
2,925
4,978
Would lose
Coastlinekm · Higher wins ↑
354
2,800
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
7.2° N
Would lose
50
Round 50Won62 countries · 4 lives left
KenyavsDenmark
Proximity to equator: 0.4° N vs 55.9° N from the equator · Closer wins ↓
Conquered Denmark.
Other category comparisons 4 other winning choices
All eight categories for Kenya against Denmark
Category
Kenya
Denmark
Result
Areakm² · Higher wins ↑
580,367
43,094
Would win
Populationpeople · Higher wins ↑
55,339,003
5,946,952
Would win
Wealth per personint’l $ · Higher wins ↑
6,322
77,425
Would lose
Densityper km² · Higher wins ↑
95.4
138.0
Would lose
Highest peakm · Higher wins ↑
5,199
171
Would win
Coastlinekm · Higher wins ↑
536
7,314
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.4° N
55.9° N
Would win
51
Round 51Won63 countries · 4 lives left
Timor-LestevsSouth Africa
Proximity to equator: 8.9° S vs 30.2° S from the equator · Closer wins ↓
Conquered South Africa.
Other category comparisons 1 other winning choice
All eight categories for Timor-Leste against South Africa
Category
Timor-Leste
South Africa
Result
Areakm² · Higher wins ↑
14,874
1,219,090
Would lose
Populationpeople · Higher wins ↑
1,384,286
63,212,384
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
15,212
Would lose
Densityper km² · Higher wins ↑
93.1
51.9
Would win
Highest peakm · Higher wins ↑
2,963
3,450
Would lose
Coastlinekm · Higher wins ↑
706
2,798
Would lose
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° S
30.2° S
Would win
52
Round 52Won64 countries · 4 lives left
SloveniavsMorocco
Density: 104.6 vs 84.5 per km² · Higher wins ↑
Conquered Morocco.
Other category comparisons 2 other winning choices
All eight categories for Slovenia against Morocco
Category
Slovenia
Morocco
Result
Areakm² · Higher wins ↑
20,273
446,550
Would lose
Populationpeople · Higher wins ↑
2,120,461
37,712,505
Would lose
Wealth per personint’l $ · Higher wins ↑
56,151
9,903
Would win
Densityper km² · Higher wins ↑ · Chosen
104.6
84.5
Would win
Highest peakm · Higher wins ↑
2,864
4,165
Would lose
Coastlinekm · Higher wins ↑
46.6
1,835
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
46.0° N
31.9° N
Would lose
53
Round 53Won65 countries · 4 lives left
PeruvsIsrael
Area: 1,285,216 vs 21,937 km² · Higher wins ↑
Conquered Israel.
Other category comparisons 4 other winning choices
All eight categories for Peru against Israel
Category
Peru
Israel
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
21,937
Would win
Populationpeople · Higher wins ↑
33,845,617
9,849,000
Would win
Wealth per personint’l $ · Higher wins ↑
17,042
55,301
Would lose
Densityper km² · Higher wins ↑
26.3
449.0
Would lose
Highest peakm · Higher wins ↑
6,746
2,224
Would win
Coastlinekm · Higher wins ↑
2,414
273
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
30.9° N
Would win
54
Round 54Won66 countries · 4 lives left
LithuaniavsAustria
Coastline: 90 vs 0 km · Higher wins ↑
Conquered Austria.
Other category comparisons 1 other winning choice
All eight categories for Lithuania against Austria
Category
Lithuania
Austria
Result
Areakm² · Higher wins ↑
65,300
83,871
Would lose
Populationpeople · Higher wins ↑
2,871,585
9,131,761
Would lose
Wealth per personint’l $ · Higher wins ↑
52,720
74,261
Would lose
Densityper km² · Higher wins ↑
44.0
108.9
Would lose
Highest peakm · Higher wins ↑
294
3,798
Would lose
Coastlinekm · Higher wins ↑ · Chosen
90
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
47.7° N
Would lose
55
Round 55Won67 countries · 4 lives left
SomaliavsBurundi
Area: 637,657 vs 27,830 km² · Higher wins ↑
Conquered Burundi.
Other category comparisons 4 other winning choices
All eight categories for Somalia against Burundi
Category
Somalia
Burundi
Result
Areakm² · Higher wins ↑ · Chosen
637,657
27,830
Would win
Populationpeople · Higher wins ↑
18,358,615
13,689,450
Would win
Wealth per personint’l $ · Higher wins ↑
1,557
1,147
Would win
Densityper km² · Higher wins ↑
28.8
491.9
Would lose
Highest peakm · Higher wins ↑
2,460
2,685
Would lose
Coastlinekm · Higher wins ↑
3,025
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
2.6° N
3.4° S
Would win
56
Round 56Won68 countries · 4 lives left
KazakhstanvsEthiopia
Area: 2,724,900 vs 1,104,300 km² · Higher wins ↑
Conquered Ethiopia.
Other category comparisons 2 other winning choices
All eight categories for Kazakhstan against Ethiopia
Category
Kazakhstan
Ethiopia
Result
Areakm² · Higher wins ↑ · Chosen
2,724,900
1,104,300
Would win
Populationpeople · Higher wins ↑
20,330,104
128,691,692
Would lose
Wealth per personint’l $ · Higher wins ↑
38,547
3,063
Would win
Densityper km² · Higher wins ↑
7.5
116.5
Would lose
Highest peakm · Higher wins ↑
7,010
4,550
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
48.5° N
8.5° N
Would lose
57
Round 57Won69 countries · 4 lives left
SyriavsMadagascar
Flag colours: 4 vs 3 colours · Higher wins ↑
Conquered Madagascar.
Other category comparisons 1 other winning choice
All eight categories for Syria against Madagascar
Category
Syria
Madagascar
Result
Areakm² · Higher wins ↑
187,437
587,041
Would lose
Populationpeople · Higher wins ↑
23,594,623
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
1,810
Unavailable
Densityper km² · Higher wins ↑
125.9
53.1
Would win
Highest peakm · Higher wins ↑
2,814
2,876
Would lose
Coastlinekm · Higher wins ↑
193
4,828
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
35.0° N
18.4° S
Would lose
58
Round 58Won70 countries · 4 lives left
TogovsRussia
Proximity to equator: 8.9° N vs 63.6° N from the equator · Closer wins ↓
Conquered Russia.
Other category comparisons 2 other winning choices
All eight categories for Togo against Russia
Category
Togo
Russia
Result
Areakm² · Higher wins ↑
56,785
17,098,242
Would lose
Populationpeople · Higher wins ↑
8,223,850
143,826,130
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
44,299
Would lose
Densityper km² · Higher wins ↑
144.8
8.4
Would win
Highest peakm · Higher wins ↑
986
5,642
Would lose
Coastlinekm · Higher wins ↑
56
37,653
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° N
63.6° N
Would win
59
Round 59Won71 countries · 4 lives left
TürkiyevsPortugal
Area: 783,562 vs 92,090 km² · Higher wins ↑
Conquered Portugal.
Other category comparisons 4 other winning choices
All eight categories for Türkiye against Portugal
Category
Türkiye
Portugal
Result
Areakm² · Higher wins ↑ · Chosen
783,562
92,090
Would win
Populationpeople · Higher wins ↑
85,325,965
10,578,174
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
49,800
Would lose
Densityper km² · Higher wins ↑
108.9
114.9
Would lose
Highest peakm · Higher wins ↑
5,137
2,351
Would win
Coastlinekm · Higher wins ↑
7,200
1,793
Would win
Flag colourscolours · Higher wins ↑
2
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
40.7° N
Would win
60
Round 60Won72 countries · 4 lives left
BangladeshvsRomania
Population: 171,466,990 vs 19,061,062 people · Higher wins ↑
Conquered Romania.
Other category comparisons 3 other winning choices
All eight categories for Bangladesh against Romania
Category
Bangladesh
Romania
Result
Areakm² · Higher wins ↑
148,460
238,391
Would lose
Populationpeople · Higher wins ↑ · Chosen
171,466,990
19,061,062
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
45,982
Would lose
Densityper km² · Higher wins ↑
1,155.0
80.0
Would win
Highest peakm · Higher wins ↑
1,060
2,544
Would lose
Coastlinekm · Higher wins ↑
580
225
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Netherlandsvs
Switzerland
United Kingdom
Namibia
Maldives
Djibouti
Guyana
Trinidad and Tobago
Eritrea
Republic of the Congo
Suriname
North Korea
Cameroon
Sierra Leone
Brunei
Lesotho
Bulgaria
Venezuela
Kenya
Denmark
Timor-Leste
South Africa
Slovenia
Morocco
Peru
Israel
Lithuania
Austria
Somalia
Burundi
Kazakhstan
Ethiopia
Syria
Madagascar
Togo
Russia
Türkiye
Portugal
Bangladesh
Romania