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 21Won27 countries · 1 life left
BeninvsPoland
Proximity to equator: 10.4° N vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 2 other winning choices
All eight categories for Benin against Poland
Category
Benin
Poland
Result
Areakm² · Higher wins ↑
112,622
312,685
Would lose
Populationpeople · Higher wins ↑
14,111,034
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
4,133
48,473
Would lose
Densityper km² · Higher wins ↑
125.3
117.3
Would win
Highest peakm · Higher wins ↑
675
2,499
Would lose
Coastlinekm · Higher wins ↑
121
440
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
10.4° N
51.9° N
Would win
22
Round 22Won28 countries · 1 life left
NetherlandsvsGuinea-Bissau
Wealth per person: 80,392 vs 2,956 int’l $ · Higher wins ↑
Conquered Guinea-Bissau.
Other category comparisons 5 other winning choices
All eight categories for Netherlands against Guinea-Bissau
Category
Netherlands
Guinea-Bissau
Result
Areakm² · Higher wins ↑
41,543
36,125
Would win
Populationpeople · Higher wins ↑
17,877,117
2,153,339
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
80,392
2,956
Would win
Densityper km² · Higher wins ↑
430.3
59.6
Would win
Highest peakm · Higher wins ↑
322
277
Would win
Coastlinekm · Higher wins ↑
451
350
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.2° N
12.1° N
Would lose
23
Round 23Won29 countries · 1 life left
North KoreavsLesotho
Coastline: 2,495 vs 0 km · Higher wins ↑
Conquered Lesotho.
Other category comparisons 3 other winning choices
All eight categories for North Korea against Lesotho
Category
North Korea
Lesotho
Result
Areakm² · Higher wins ↑
120,538
30,355
Would win
Populationpeople · Higher wins ↑
26,418,204
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
Unavailable
2,880
Unavailable
Densityper km² · Higher wins ↑
219.2
76.1
Would win
Highest peakm · Higher wins ↑
2,744
3,482
Would lose
Coastlinekm · Higher wins ↑ · Chosen
2,495
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
29.4° S
Would lose
24
Round 24Won30 countries · 1 life left
LuxembourgvsSri Lanka
Wealth per person: 152,596 vs 14,512 int’l $ · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 0 other winning choices
All eight categories for Luxembourg against Sri Lanka
Category
Luxembourg
Sri Lanka
Result
Areakm² · Higher wins ↑
2,586
65,610
Would lose
Populationpeople · Higher wins ↑
666,430
22,037,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
152,596
14,512
Would win
Densityper km² · Higher wins ↑
257.7
335.9
Would lose
Highest peakm · Higher wins ↑
559
2,524
Would lose
Coastlinekm · Higher wins ↑
0
1,340
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
7.1° N
Would lose
25
Round 25Won31 countries · 1 life left
NamibiavsGermany
Area: 824,292 vs 357,022 km² · Higher wins ↑
Conquered Germany.
Other category comparisons 2 other winning choices
All eight categories for Namibia against Germany
Category
Namibia
Germany
Result
Areakm² · Higher wins ↑ · Chosen
824,292
357,022
Would win
Populationpeople · Higher wins ↑
2,963,095
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
11,248
72,262
Would lose
Densityper km² · Higher wins ↑
3.6
233.3
Would lose
Highest peakm · Higher wins ↑
2,573
2,963
Would lose
Coastlinekm · Higher wins ↑
1,572
2,389
Would lose
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
20.6° S
51.0° N
Would win
26
Round 26Won32 countries · 1 life left
BangladeshvsBrazil
Density: 1,155.0 vs 24.8 per km² · Higher wins ↑
Conquered Brazil.
Other category comparisons 0 other winning choices
All eight categories for Bangladesh against Brazil
Category
Bangladesh
Brazil
Result
Areakm² · Higher wins ↑
148,460
8,515,770
Would lose
Populationpeople · Higher wins ↑
171,466,990
211,140,729
Would lose
Wealth per personint’l $ · Higher wins ↑
9,155
21,193
Would lose
Densityper km² · Higher wins ↑ · Chosen
1,155.0
24.8
Would win
Highest peakm · Higher wins ↑
1,060
2,994
Would lose
Coastlinekm · Higher wins ↑
580
7,491
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
24.3° N
12.6° S
Would lose
27
Round 27Won33 countries · 1 life left
AlgeriavsVanuatu
Area: 2,381,740 vs 12,189 km² · Higher wins ↑
Conquered Vanuatu.
Other category comparisons 3 other winning choices
All eight categories for Algeria against Vanuatu
Category
Algeria
Vanuatu
Result
Areakm² · Higher wins ↑ · Chosen
2,381,740
12,189
Would win
Populationpeople · Higher wins ↑
46,164,219
320,409
Would win
Wealth per personint’l $ · Higher wins ↑
16,838
4,202
Would win
Densityper km² · Higher wins ↑
19.4
26.3
Would lose
Highest peakm · Higher wins ↑
2,908
1,877
Would win
Coastlinekm · Higher wins ↑
998
2,528
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.4° N
15.4° S
Would lose
28
Round 28Won34 countries · 1 life left
MauritaniavsIraq
Area: 1,030,700 vs 438,317 km² · Higher wins ↑
Conquered Iraq.
Other category comparisons 2 other winning choices
All eight categories for Mauritania against Iraq
Category
Mauritania
Iraq
Result
Areakm² · Higher wins ↑ · Chosen
1,030,700
438,317
Would win
Populationpeople · Higher wins ↑
5,022,441
45,074,049
Would lose
Wealth per personint’l $ · Higher wins ↑
6,972
14,665
Would lose
Densityper km² · Higher wins ↑
4.9
102.8
Would lose
Highest peakm · Higher wins ↑
915
3,611
Would lose
Coastlinekm · Higher wins ↑
754
58
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
33.3° N
Would win
29
Round 29Won35 countries · 1 life left
HungaryvsMorocco
Wealth per person: 46,376 vs 9,903 int’l $ · Higher wins ↑
Conquered Morocco.
Other category comparisons 2 other winning choices
All eight categories for Hungary against Morocco
Category
Hungary
Morocco
Result
Areakm² · Higher wins ↑
93,028
446,550
Would lose
Populationpeople · Higher wins ↑
9,592,186
37,712,505
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
46,376
9,903
Would win
Densityper km² · Higher wins ↑
103.1
84.5
Would win
Highest peakm · Higher wins ↑
1,014
4,165
Would lose
Coastlinekm · Higher wins ↑
0
1,835
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
47.3° N
31.9° N
Would lose
30
Round 30Won36 countries · 1 life left
BahrainvsLiberia
Density: 2,075.1 vs 49.3 per km² · Higher wins ↑
Conquered Liberia.
Other category comparisons 1 other winning choice
All eight categories for Bahrain against Liberia
Category
Bahrain
Liberia
Result
Areakm² · Higher wins ↑
760
111,369
Would lose
Populationpeople · Higher wins ↑
1,577,059
5,493,031
Would lose
Wealth per personint’l $ · Higher wins ↑
64,224
1,796
Would win
Densityper km² · Higher wins ↑ · Chosen
2,075.1
49.3
Would win
Highest peakm · Higher wins ↑
135
1,447
Would lose
Coastlinekm · Higher wins ↑
161
579
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.0° N
7.0° N
Would lose
31
Round 31Won37 countries · 1 life left
TunisiavsRepublic of the Congo
Wealth per person: 14,052 vs 6,856 int’l $ · Higher wins ↑
Conquered Republic of the Congo.
Other category comparisons 4 other winning choices
All eight categories for Tunisia against Republic of the Congo
Category
Tunisia
Republic of the Congo
Result
Areakm² · Higher wins ↑
163,610
342,000
Would lose
Populationpeople · Higher wins ↑
12,200,431
6,182,885
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
14,052
6,856
Would win
Densityper km² · Higher wins ↑
74.6
18.1
Would win
Highest peakm · Higher wins ↑
1,544
1,020
Would win
Coastlinekm · Higher wins ↑
1,148
169
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
35.3° N
0.1° N
Would lose
32
Round 32Won38 countries · 1 life left
PalestinevsBurundi
Density: 830.5 vs 491.9 per km² · Higher wins ↑
Conquered Burundi.
Other category comparisons 3 other winning choices
All eight categories for Palestine against Burundi
Category
Palestine
Burundi
Result
Areakm² · Higher wins ↑
6,220
27,830
Would lose
Populationpeople · Higher wins ↑
5,165,775
13,689,450
Would lose
Wealth per personint’l $ · Higher wins ↑
6,179
1,147
Would win
Densityper km² · Higher wins ↑ · Chosen
830.5
491.9
Would win
Highest peakm · Higher wins ↑
1,020
2,685
Would lose
Coastlinekm · Higher wins ↑
40
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
3.4° S
Would lose
33
Round 33Won39 countries · 1 life left
BahamasvsLatvia
Proximity to equator: 24.7° N vs 56.6° N from the equator · Closer wins ↓
Conquered Latvia.
Other category comparisons 2 other winning choices
All eight categories for Bahamas against Latvia
Category
Bahamas
Latvia
Result
Areakm² · Higher wins ↑
13,880
64,589
Would lose
Populationpeople · Higher wins ↑
399,440
1,883,710
Would lose
Wealth per personint’l $ · Higher wins ↑
39,122
42,784
Would lose
Densityper km² · Higher wins ↑
28.8
29.2
Would lose
Highest peakm · Higher wins ↑
64
312
Would lose
Coastlinekm · Higher wins ↑
3,542
498
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
24.7° N
56.6° N
Would win
34
Round 34Won40 countries · 1 life left
CambodiavsHaiti
Wealth per person: 7,437 vs 3,265 int’l $ · Higher wins ↑
Conquered Haiti.
Other category comparisons 3 other winning choices
All eight categories for Cambodia against Haiti
Category
Cambodia
Haiti
Result
Areakm² · Higher wins ↑
181,035
27,750
Would win
Populationpeople · Higher wins ↑
17,423,880
11,637,398
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
7,437
3,265
Would win
Densityper km² · Higher wins ↑
96.2
419.4
Would lose
Highest peakm · Higher wins ↑
1,810
2,674
Would lose
Coastlinekm · Higher wins ↑
443
1,771
Would lose
Flag colourscolours · Higher wins ↑
4
7
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
19.2° N
Would win
35
Round 35Won41 countries · 1 life left
TurkmenistanvsSingapore
Area: 488,100 vs 719 km² · Higher wins ↑
Conquered Singapore.
Other category comparisons 3 other winning choices
All eight categories for Turkmenistan against Singapore
Category
Turkmenistan
Singapore
Result
Areakm² · Higher wins ↑ · Chosen
488,100
719
Would win
Populationpeople · Higher wins ↑
7,364,438
5,917,648
Would win
Wealth per personint’l $ · Higher wins ↑
19,645
144,728
Would lose
Densityper km² · Higher wins ↑
15.1
8,230.4
Would lose
Highest peakm · Higher wins ↑
3,139
166
Would win
Coastlinekm · Higher wins ↑
0
193
Would lose
Flag colourscolours · Higher wins ↑
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
39.9° N
1.4° N
Would lose
36
Round 36Won42 countries · 1 life left
NicaraguavsUnited Kingdom
Proximity to equator: 12.6° N vs 52.5° N from the equator · Closer wins ↓
Conquered United Kingdom.
Other category comparisons 2 other winning choices
All eight categories for Nicaragua against United Kingdom
Category
Nicaragua
United Kingdom
Result
Areakm² · Higher wins ↑
130,370
243,610
Would lose
Populationpeople · Higher wins ↑
6,823,613
68,526,000
Would lose
Wealth per personint’l $ · Higher wins ↑
8,327
60,787
Would lose
Densityper km² · Higher wins ↑
52.3
281.3
Would lose
Highest peakm · Higher wins ↑
2,085
1,345
Would win
Coastlinekm · Higher wins ↑
910
12,429
Would lose
Flag colourscolours · Higher wins ↑
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.6° N
52.5° N
Would win
37
Round 37Lost41 countries · 0 lives left
SlovakiavsGuyana
Highest peak: 2,655 vs 2,775 m · Higher wins ↑
Returned to the world: Slovakia.
Other category comparisons 2 other winning choices
All eight categories for Slovakia against Guyana
Category
Slovakia
Guyana
Result
Areakm² · Higher wins ↑
49,035
214,969
Would lose
Populationpeople · Higher wins ↑
5,426,740
826,353
Would win
Wealth per personint’l $ · Higher wins ↑
45,865
54,774
Would lose
Densityper km² · Higher wins ↑
110.7
3.8
Would win
Highest peakm · Higher wins ↑ · Chosen
2,655
2,775
Would lose
Coastlinekm · Higher wins ↑
0
459
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓