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 21Won33 countries · 4 lives left
IsraelvsColombia
Density: 449.0 vs 45.9 per km² · Higher wins ↑
Conquered Colombia.
Other category comparisons 1 other winning choice
All eight categories for Israel against Colombia
Category
Israel
Colombia
Result
Areakm² · Higher wins ↑
21,937
1,138,910
Would lose
Populationpeople · Higher wins ↑
9,849,000
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑
55,301
21,282
Would win
Densityper km² · Higher wins ↑ · Chosen
449.0
45.9
Would win
Highest peakm · Higher wins ↑
2,224
5,730
Would lose
Coastlinekm · Higher wins ↑
273
3,208
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
30.9° N
3.4° N
Would lose
22
Round 22Won34 countries · 4 lives left
OmanvsPalestine
Area: 309,500 vs 6,220 km² · Higher wins ↑
Conquered Palestine.
Other category comparisons 4 other winning choices
All eight categories for Oman against Palestine
Category
Oman
Palestine
Result
Areakm² · Higher wins ↑ · Chosen
309,500
6,220
Would win
Populationpeople · Higher wins ↑
5,049,269
5,165,775
Would lose
Wealth per personint’l $ · Higher wins ↑
41,980
6,179
Would win
Densityper km² · Higher wins ↑
16.3
830.5
Would lose
Highest peakm · Higher wins ↑
3,004
1,020
Would win
Coastlinekm · Higher wins ↑
2,092
40
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
22.1° N
32.1° N
Would win
23
Round 23Won35 countries · 4 lives left
United KingdomvsCambodia
Wealth per person: 60,787 vs 7,437 int’l $ · Higher wins ↑
Conquered Cambodia.
Other category comparisons 4 other winning choices
All eight categories for United Kingdom against Cambodia
Category
United Kingdom
Cambodia
Result
Areakm² · Higher wins ↑
243,610
181,035
Would win
Populationpeople · Higher wins ↑
68,526,000
17,423,880
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
60,787
7,437
Would win
Densityper km² · Higher wins ↑
281.3
96.2
Would win
Highest peakm · Higher wins ↑
1,345
1,810
Would lose
Coastlinekm · Higher wins ↑
12,429
443
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
12.6° N
Would lose
24
Round 24Won36 countries · 4 lives left
KenyavsMali
Highest peak: 5,199 vs 1,155 m · Higher wins ↑
Conquered Mali.
Other category comparisons 6 other winning choices
All eight categories for Kenya against Mali
Category
Kenya
Mali
Result
Areakm² · Higher wins ↑
580,367
1,240,192
Would lose
Populationpeople · Higher wins ↑
55,339,003
23,769,127
Would win
Wealth per personint’l $ · Higher wins ↑
6,322
3,178
Would win
Densityper km² · Higher wins ↑
95.4
19.2
Would win
Highest peakm · Higher wins ↑ · Chosen
5,199
1,155
Would win
Coastlinekm · Higher wins ↑
536
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
0.4° N
18.6° N
Would win
25
Round 25Won37 countries · 4 lives left
Guinea-BissauvsPeru
Density: 59.6 vs 26.3 per km² · Higher wins ↑
Conquered Peru.
Other category comparisons 2 other winning choices
All eight categories for Guinea-Bissau against Peru
Category
Guinea-Bissau
Peru
Result
Areakm² · Higher wins ↑
36,125
1,285,216
Would lose
Populationpeople · Higher wins ↑
2,153,339
33,845,617
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
17,042
Would lose
Densityper km² · Higher wins ↑ · Chosen
59.6
26.3
Would win
Highest peakm · Higher wins ↑
277
6,746
Would lose
Coastlinekm · Higher wins ↑
350
2,414
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.1° N
13.0° S
Would win
26
Round 26Won38 countries · 4 lives left
AndorravsTrinidad and Tobago
Wealth per person: 71,790 vs 34,652 int’l $ · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 2 other winning choices
All eight categories for Andorra against Trinidad and Tobago
Category
Andorra
Trinidad and Tobago
Result
Areakm² · Higher wins ↑
468
5,128
Would lose
Populationpeople · Higher wins ↑
80,856
1,367,510
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
71,790
34,652
Would win
Densityper km² · Higher wins ↑
172.8
266.7
Would lose
Highest peakm · Higher wins ↑
2,946
940
Would win
Coastlinekm · Higher wins ↑
0
362
Would lose
Flag colourscolours · Higher wins ↑
7
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.5° N
10.3° N
Would lose
27
Round 27Won39 countries · 4 lives left
LibyavsTajikistan
Area: 1,759,540 vs 144,100 km² · Higher wins ↑
Conquered Tajikistan.
Other category comparisons 3 other winning choices
All eight categories for Libya against Tajikistan
Category
Libya
Tajikistan
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
144,100
Would win
Populationpeople · Higher wins ↑
7,305,659
10,389,799
Would lose
Wealth per personint’l $ · Higher wins ↑
13,858
4,968
Would win
Densityper km² · Higher wins ↑
4.2
72.1
Would lose
Highest peakm · Higher wins ↑
2,267
7,495
Would lose
Coastlinekm · Higher wins ↑
1,770
0
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
38.3° N
Would win
28
Round 28Won40 countries · 4 lives left
LesothovsLatvia
Population: 2,311,472 vs 1,883,710 people · Higher wins ↑
Conquered Latvia.
Other category comparisons 4 other winning choices
All eight categories for Lesotho against Latvia
Category
Lesotho
Latvia
Result
Areakm² · Higher wins ↑
30,355
64,589
Would lose
Populationpeople · Higher wins ↑ · Chosen
2,311,472
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
2,880
42,784
Would lose
Densityper km² · Higher wins ↑
76.1
29.2
Would win
Highest peakm · Higher wins ↑
3,482
312
Would win
Coastlinekm · Higher wins ↑
0
498
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
29.4° S
56.6° N
Would win
29
Round 29Won41 countries · 4 lives left
BhutanvsPanama
Highest peak: 7,570 vs 3,475 m · Higher wins ↑
Conquered Panama.
Other category comparisons 1 other winning choice
All eight categories for Bhutan against Panama
Category
Bhutan
Panama
Result
Areakm² · Higher wins ↑
38,394
75,420
Would lose
Populationpeople · Higher wins ↑
786,385
4,458,759
Would lose
Wealth per personint’l $ · Higher wins ↑
16,229
39,846
Would lose
Densityper km² · Higher wins ↑
20.5
59.1
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
3,475
Would win
Coastlinekm · Higher wins ↑
0
2,490
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
8.4° N
Would lose
30
Round 30Won42 countries · 4 lives left
MontenegrovsGreece
Flag colours: 5 vs 2 colours · Higher wins ↑
Conquered Greece.
Other category comparisons 0 other winning choices
All eight categories for Montenegro against Greece
Category
Montenegro
Greece
Result
Areakm² · Higher wins ↑
13,812
131,957
Would lose
Populationpeople · Higher wins ↑
623,529
10,407,351
Would lose
Wealth per personint’l $ · Higher wins ↑
31,863
42,614
Would lose
Densityper km² · Higher wins ↑
45.1
78.9
Would lose
Highest peakm · Higher wins ↑
2,534
2,917
Would lose
Coastlinekm · Higher wins ↑
293.5
13,676
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
5
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
42.8° N
39.8° N
Would lose
31
Round 31Won43 countries · 4 lives left
BelizevsChile
Flag colours: 12 vs 3 colours · Higher wins ↑
Conquered Chile.
Other category comparisons 1 other winning choice
All eight categories for Belize against Chile
Category
Belize
Chile
Result
Areakm² · Higher wins ↑
22,966
756,102
Would lose
Populationpeople · Higher wins ↑
411,106
19,658,835
Would lose
Wealth per personint’l $ · Higher wins ↑
13,741
33,174
Would lose
Densityper km² · Higher wins ↑
17.9
26.0
Would lose
Highest peakm · Higher wins ↑
1,124
6,893
Would lose
Coastlinekm · Higher wins ↑
386
6,435
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
12
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
23.4° S
Would win
32
Round 32Won44 countries · 4 lives left
AfghanistanvsMalaysia
Highest peak: 7,492 vs 4,095 m · Higher wins ↑
Conquered Malaysia.
Other category comparisons 3 other winning choices
All eight categories for Afghanistan against Malaysia
Category
Afghanistan
Malaysia
Result
Areakm² · Higher wins ↑
652,230
329,847
Would win
Populationpeople · Higher wins ↑
41,454,761
35,126,298
Would win
Wealth per personint’l $ · Higher wins ↑
2,204
36,497
Would lose
Densityper km² · Higher wins ↑
63.6
106.5
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,492
4,095
Would win
Coastlinekm · Higher wins ↑
0
4,675
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
34.3° N
4.4° N
Would lose
33
Round 33Won45 countries · 4 lives left
NigervsBotswana
Area: 1,267,000 vs 581,730 km² · Higher wins ↑
Conquered Botswana.
Other category comparisons 4 other winning choices
All eight categories for Niger against Botswana
Category
Niger
Botswana
Result
Areakm² · Higher wins ↑ · Chosen
1,267,000
581,730
Would win
Populationpeople · Higher wins ↑
26,159,867
2,480,244
Would win
Wealth per personint’l $ · Higher wins ↑
1,903
21,029
Would lose
Densityper km² · Higher wins ↑
20.6
4.3
Would win
Highest peakm · Higher wins ↑
2,022
1,495
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.6° N
22.1° S
Would win
34
Round 34Won46 countries · 4 lives left
QatarvsMauritania
Wealth per person: 129,025 vs 6,972 int’l $ · Higher wins ↑
Conquered Mauritania.
Other category comparisons 1 other winning choice
All eight categories for Qatar against Mauritania
Category
Qatar
Mauritania
Result
Areakm² · Higher wins ↑
11,586
1,030,700
Would lose
Populationpeople · Higher wins ↑
2,656,032
5,022,441
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
129,025
6,972
Would win
Densityper km² · Higher wins ↑
229.2
4.9
Would win
Highest peakm · Higher wins ↑
103
915
Would lose
Coastlinekm · Higher wins ↑
563
754
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
25.1° N
19.4° N
Would lose
35
Round 35Won47 countries · 4 lives left
TogovsPapua New Guinea
Density: 144.8 vs 22.4 per km² · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 0 other winning choices
All eight categories for Togo against Papua New Guinea
Category
Togo
Papua New Guinea
Result
Areakm² · Higher wins ↑
56,785
462,840
Would lose
Populationpeople · Higher wins ↑
8,223,850
10,389,635
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
4,672
Would lose
Densityper km² · Higher wins ↑ · Chosen
144.8
22.4
Would win
Highest peakm · Higher wins ↑
986
4,509
Would lose
Coastlinekm · Higher wins ↑
56
5,152
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.9° N
5.5° S
Would lose
36
Round 36Won48 countries · 4 lives left
ArgentinavsSlovenia
Area: 2,780,400 vs 20,273 km² · Higher wins ↑
Conquered Slovenia.
Other category comparisons 4 other winning choices
All eight categories for Argentina against Slovenia
Category
Argentina
Slovenia
Result
Areakm² · Higher wins ↑ · Chosen
2,780,400
20,273
Would win
Populationpeople · Higher wins ↑
45,538,401
2,120,461
Would win
Wealth per personint’l $ · Higher wins ↑
30,246
56,151
Would lose
Densityper km² · Higher wins ↑
16.4
104.6
Would lose
Highest peakm · Higher wins ↑
6,962
2,864
Would win
Coastlinekm · Higher wins ↑
4,989
46.6
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
31.4° S
46.0° N
Would win
37
Round 37Won49 countries · 4 lives left
GhanavsEquatorial Guinea
Area: 238,533 vs 28,051 km² · Higher wins ↑
Conquered Equatorial Guinea.
Other category comparisons 3 other winning choices
All eight categories for Ghana against Equatorial Guinea
Category
Ghana
Equatorial Guinea
Result
Areakm² · Higher wins ↑ · Chosen
238,533
28,051
Would win
Populationpeople · Higher wins ↑
33,787,914
1,847,549
Would win
Wealth per personint’l $ · Higher wins ↑
7,563
16,997
Would lose
Densityper km² · Higher wins ↑
141.6
65.9
Would win
Highest peakm · Higher wins ↑
885
3,008
Would lose
Coastlinekm · Higher wins ↑
539
296
Would win
Flag colourscolours · Higher wins ↑
4
8
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.0° N
1.6° N
Would lose
38
Round 38Won50 countries · 4 lives left
AlgeriavsUzbekistan
Proximity to equator: 27.4° N vs 41.5° N from the equator · Closer wins ↓
Conquered Uzbekistan.
Other category comparisons 4 other winning choices
All eight categories for Algeria against Uzbekistan
Category
Algeria
Uzbekistan
Result
Areakm² · Higher wins ↑
2,381,740
447,400
Would win
Populationpeople · Higher wins ↑
46,164,219
35,652,307
Would win
Wealth per personint’l $ · Higher wins ↑
16,838
11,679
Would win
Densityper km² · Higher wins ↑
19.4
79.7
Would lose
Highest peakm · Higher wins ↑
2,908
4,643
Would lose
Coastlinekm · Higher wins ↑
998
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
27.4° N
41.5° N
Would win
39
Round 39Won51 countries · 4 lives left
GabonvsSouth Korea
Area: 267,667 vs 99,720 km² · Higher wins ↑
Conquered South Korea.
Other category comparisons 1 other winning choice
All eight categories for Gabon against South Korea
Category
Gabon
South Korea
Result
Areakm² · Higher wins ↑ · Chosen
267,667
99,720
Would win
Populationpeople · Higher wins ↑
2,484,789
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
57,430
Would lose
Densityper km² · Higher wins ↑
9.3
518.6
Would lose
Highest peakm · Higher wins ↑
1,050
1,950
Would lose
Coastlinekm · Higher wins ↑
885
2,413
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
0.6° S
36.3° N
Would win
40
Round 40Won52 countries · 4 lives left
IrelandvsJapan
Wealth per person: 133,440 vs 52,726 int’l $ · Higher wins ↑
Conquered Japan.
Other category comparisons 1 other winning choice
All eight categories for Ireland against Japan
Category
Ireland
Japan
Result
Areakm² · Higher wins ↑
70,273
377,915
Would lose
Populationpeople · Higher wins ↑
5,311,538
124,516,650
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
133,440
52,726
Would win
Densityper km² · Higher wins ↑
75.6
329.5
Would lose
Highest peakm · Higher wins ↑
1,041
3,776
Would lose
Coastlinekm · Higher wins ↑
1,448
29,751
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓