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
Guinea-BissauvsNiger
Density: 59.6 vs 20.6 per km² · Higher wins ↑
Conquered Niger.
Other category comparisons 4 other winning choices
All eight categories for Guinea-Bissau against Niger
Category
Guinea-Bissau
Niger
Result
Areakm² · Higher wins ↑
36,125
1,267,000
Would lose
Populationpeople · Higher wins ↑
2,153,339
26,159,867
Would lose
Wealth per personint’l $ · Higher wins ↑
2,956
1,903
Would win
Densityper km² · Higher wins ↑ · Chosen
59.6
20.6
Would win
Highest peakm · Higher wins ↑
277
2,022
Would lose
Coastlinekm · Higher wins ↑
350
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.1° N
17.6° N
Would win
22
Round 22Won34 countries · 4 lives left
El SalvadorvsMongolia
Density: 299.9 vs 2.2 per km² · Higher wins ↑
Conquered Mongolia.
Other category comparisons 4 other winning choices
All eight categories for El Salvador against Mongolia
Category
El Salvador
Mongolia
Result
Areakm² · Higher wins ↑
21,041
1,564,116
Would lose
Populationpeople · Higher wins ↑
6,309,624
3,481,145
Would win
Wealth per personint’l $ · Higher wins ↑
12,667
18,020
Would lose
Densityper km² · Higher wins ↑ · Chosen
299.9
2.2
Would win
Highest peakm · Higher wins ↑
2,730
4,374
Would lose
Coastlinekm · Higher wins ↑
307
0
Would win
Flag colourscolours · Higher wins ↑
9
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
13.9° N
46.0° N
Would win
23
Round 23Won35 countries · 4 lives left
FrancevsKazakhstan
Population: 65,925,961 vs 20,330,104 people · Higher wins ↑
Conquered Kazakhstan.
Other category comparisons 5 other winning choices
All eight categories for France against Kazakhstan
Category
France
Kazakhstan
Result
Areakm² · Higher wins ↑
551,500
2,724,900
Would lose
Populationpeople · Higher wins ↑ · Chosen
65,925,961
20,330,104
Would win
Wealth per personint’l $ · Higher wins ↑
60,927
38,547
Would win
Densityper km² · Higher wins ↑
119.5
7.5
Would win
Highest peakm · Higher wins ↑
4,810
7,010
Would lose
Coastlinekm · Higher wins ↑
3,427
0
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
46.7° N
48.5° N
Would win
24
Round 24Won36 countries · 4 lives left
Sierra LeonevsEgypt
Proximity to equator: 8.7° N vs 26.3° N from the equator · Closer wins ↓
Conquered Egypt.
Other category comparisons 1 other winning choice
All eight categories for Sierra Leone against Egypt
Category
Sierra Leone
Egypt
Result
Areakm² · Higher wins ↑
71,740
1,001,450
Would lose
Populationpeople · Higher wins ↑
8,460,512
114,535,772
Would lose
Wealth per personint’l $ · Higher wins ↑
3,371
18,540
Would lose
Densityper km² · Higher wins ↑
117.9
114.4
Would win
Highest peakm · Higher wins ↑
1,948
2,629
Would lose
Coastlinekm · Higher wins ↑
402
2,450
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.7° N
26.3° N
Would win
25
Round 25Won37 countries · 4 lives left
GermanyvsBosnia and Herzegovina
Population: 83,287,273 vs 3,185,073 people · Higher wins ↑
Conquered Bosnia and Herzegovina.
Other category comparisons 5 other winning choices
All eight categories for Germany against Bosnia and Herzegovina
Category
Germany
Bosnia and Herzegovina
Result
Areakm² · Higher wins ↑
357,022
51,197
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
3,185,073
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
23,376
Would win
Densityper km² · Higher wins ↑
233.3
62.2
Would win
Highest peakm · Higher wins ↑
2,963
2,386
Would win
Coastlinekm · Higher wins ↑
2,389
20
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
44.1° N
Would lose
26
Round 26Won38 countries · 4 lives left
MozambiquevsArmenia
Area: 799,380 vs 29,743 km² · Higher wins ↑
Conquered Armenia.
Other category comparisons 4 other winning choices
All eight categories for Mozambique against Armenia
Category
Mozambique
Armenia
Result
Areakm² · Higher wins ↑ · Chosen
799,380
29,743
Would win
Populationpeople · Higher wins ↑
33,635,160
2,964,300
Would win
Wealth per personint’l $ · Higher wins ↑
1,680
21,552
Would lose
Densityper km² · Higher wins ↑
42.1
99.7
Would lose
Highest peakm · Higher wins ↑
2,436
4,090
Would lose
Coastlinekm · Higher wins ↑
2,470
0
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
14.0° S
40.6° N
Would win
27
Round 27Won39 countries · 4 lives left
SpainvsLesotho
Population: 48,352,528 vs 2,311,472 people · Higher wins ↑
Conquered Lesotho.
Other category comparisons 6 other winning choices
All eight categories for Spain against Lesotho
Category
Spain
Lesotho
Result
Areakm² · Higher wins ↑
505,370
30,355
Would win
Populationpeople · Higher wins ↑ · Chosen
48,352,528
2,311,472
Would win
Wealth per personint’l $ · Higher wins ↑
55,661
2,880
Would win
Densityper km² · Higher wins ↑
95.7
76.1
Would win
Highest peakm · Higher wins ↑
3,718
3,482
Would win
Coastlinekm · Higher wins ↑
4,964
0
Would win
Flag colourscolours · Higher wins ↑
10
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
40.0° N
29.4° S
Would lose
28
Round 28Won40 countries · 4 lives left
ChadvsMyanmar
Area: 1,284,000 vs 676,578 km² · Higher wins ↑
Conquered Myanmar.
Other category comparisons 1 other winning choice
All eight categories for Chad against Myanmar
Category
Chad
Myanmar
Result
Areakm² · Higher wins ↑ · Chosen
1,284,000
676,578
Would win
Populationpeople · Higher wins ↑
19,319,064
54,133,798
Would lose
Wealth per personint’l $ · Higher wins ↑
2,703
5,958
Would lose
Densityper km² · Higher wins ↑
15.0
80.0
Would lose
Highest peakm · Higher wins ↑
3,445
5,870
Would lose
Coastlinekm · Higher wins ↑
0
1,930
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
17.3° N
21.6° N
Would win
29
Round 29Won41 countries · 4 lives left
ZimbabwevsSenegal
Area: 390,757 vs 196,722 km² · Higher wins ↑
Conquered Senegal.
Other category comparisons 3 other winning choices
All eight categories for Zimbabwe against Senegal
Category
Zimbabwe
Senegal
Result
Areakm² · Higher wins ↑ · Chosen
390,757
196,722
Would win
Populationpeople · Higher wins ↑
16,340,822
18,077,573
Would lose
Wealth per personint’l $ · Higher wins ↑
5,796
4,782
Would win
Densityper km² · Higher wins ↑
41.8
91.9
Would lose
Highest peakm · Higher wins ↑
2,592
648
Would win
Coastlinekm · Higher wins ↑
0
531
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.0° S
15.2° N
Would lose
30
Round 30Won42 countries · 4 lives left
BruneivsTunisia
Wealth per person: 85,103 vs 14,052 int’l $ · Higher wins ↑
Conquered Tunisia.
Other category comparisons 4 other winning choices
All eight categories for Brunei against Tunisia
Category
Brunei
Tunisia
Result
Areakm² · Higher wins ↑
5,765
163,610
Would lose
Populationpeople · Higher wins ↑
458,949
12,200,431
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
85,103
14,052
Would win
Densityper km² · Higher wins ↑
79.6
74.6
Would win
Highest peakm · Higher wins ↑
1,850
1,544
Would win
Coastlinekm · Higher wins ↑
161
1,148
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
35.3° N
Would win
31
Round 31Won43 countries · 4 lives left
MexicovsRwanda
Population: 129,739,759 vs 13,954,471 people · Higher wins ↑
Conquered Rwanda.
Other category comparisons 5 other winning choices
All eight categories for Mexico against Rwanda
Category
Mexico
Rwanda
Result
Areakm² · Higher wins ↑
1,964,375
26,338
Would win
Populationpeople · Higher wins ↑ · Chosen
129,739,759
13,954,471
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
3,519
Would win
Densityper km² · Higher wins ↑
66.0
529.8
Would lose
Highest peakm · Higher wins ↑
5,636
4,519
Would win
Coastlinekm · Higher wins ↑
9,330
0
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
1.8° S
Would lose
32
Round 32Won44 countries · 4 lives left
CubavsSouth Sudan
Density: 99.4 vs 17.8 per km² · Higher wins ↑
Conquered South Sudan.
Other category comparisons 1 other winning choice
All eight categories for Cuba against South Sudan
Category
Cuba
South Sudan
Result
Areakm² · Higher wins ↑
110,860
644,329
Would lose
Populationpeople · Higher wins ↑
11,019,931
11,483,374
Would lose
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.. South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
99.4
17.8
Would win
Highest peakm · Higher wins ↑
1,974
3,187
Would lose
Coastlinekm · Higher wins ↑
3,735
0
Would win
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
20.6° N
7.1° N
Would lose
33
Round 33Won45 countries · 4 lives left
IraqvsJordan
Population: 45,074,049 vs 11,439,213 people · Higher wins ↑
Conquered Jordan.
Other category comparisons 4 other winning choices
All eight categories for Iraq against Jordan
Category
Iraq
Jordan
Result
Areakm² · Higher wins ↑
438,317
89,342
Would win
Populationpeople · Higher wins ↑ · Chosen
45,074,049
11,439,213
Would win
Wealth per personint’l $ · Higher wins ↑
14,665
11,451
Would win
Densityper km² · Higher wins ↑
102.8
128.0
Would lose
Highest peakm · Higher wins ↑
3,611
1,854
Would win
Coastlinekm · Higher wins ↑
58
26
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
30.7° N
Would lose
34
Round 34Lost44 countries · 3 lives left
MauritaniavsVenezuela
Flag colours: 3 vs 4 colours · Higher wins ↑
Returned to the world: Mauritania.
Other category comparisons 1 other winning choice
All eight categories for Mauritania against Venezuela
Category
Mauritania
Venezuela
Result
Areakm² · Higher wins ↑
1,030,700
912,050
Would win
Populationpeople · Higher wins ↑
5,022,441
28,300,854
Would lose
Wealth per personint’l $ · Higher wins ↑Venezuela: World Bank has no 2023 figure for Venezuela.
6,972
Unavailable
Unavailable
Densityper km² · Higher wins ↑
4.9
31.0
Would lose
Highest peakm · Higher wins ↑
915
4,978
Would lose
Coastlinekm · Higher wins ↑
754
2,800
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
19.4° N
7.2° N
Would lose
35
Round 35Won45 countries · 3 lives left
IcelandvsZambia
Wealth per person: 82,257 vs 4,080 int’l $ · Higher wins ↑
Conquered Zambia.
Other category comparisons 1 other winning choice
All eight categories for Iceland against Zambia
Category
Iceland
Zambia
Result
Areakm² · Higher wins ↑
103,000
752,618
Would lose
Populationpeople · Higher wins ↑
385,663
20,723,965
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
82,257
4,080
Would win
Densityper km² · Higher wins ↑
3.7
27.5
Would lose
Highest peakm · Higher wins ↑
2,110
2,330
Would lose
Coastlinekm · Higher wins ↑
4,970
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
64.7° N
14.7° S
Would lose
36
Round 36Won46 countries · 3 lives left
MontenegrovsBelgium
Proximity to equator: 42.8° N vs 50.8° N from the equator · Closer wins ↓
Conquered Belgium.
Other category comparisons 3 other winning choices
All eight categories for Montenegro against Belgium
Category
Montenegro
Belgium
Result
Areakm² · Higher wins ↑
13,812
30,528
Would lose
Populationpeople · Higher wins ↑
623,529
11,779,946
Would lose
Wealth per personint’l $ · Higher wins ↑
31,863
72,630
Would lose
Densityper km² · Higher wins ↑
45.1
385.9
Would lose
Highest peakm · Higher wins ↑
2,534
694
Would win
Coastlinekm · Higher wins ↑
293.5
66.5
Would win
Flag colourscolours · Higher wins ↑
5
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
42.8° N
50.8° N
Would win
37
Round 37Won47 countries · 3 lives left
EcuadorvsEritrea
Proximity to equator: 1.2° S vs 16.0° N from the equator · Closer wins ↓
Conquered Eritrea.
Other category comparisons 6 other winning choices
All eight categories for Ecuador against Eritrea
Category
Ecuador
Eritrea
Result
Areakm² · Higher wins ↑
283,561
117,600
Would win
Populationpeople · Higher wins ↑
17,980,083
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
15,907
Unavailable
Unavailable
Densityper km² · Higher wins ↑
63.4
29.5
Would win
Highest peakm · Higher wins ↑
6,267
3,018
Would win
Coastlinekm · Higher wins ↑
2,237
2,234
Would win
Flag colourscolours · Higher wins ↑
11
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.2° S
16.0° N
Would win
38
Round 38Won48 countries · 3 lives left
Burkina FasovsMadagascar
Proximity to equator: 12.8° N vs 18.4° S from the equator · Closer wins ↓
Conquered Madagascar.
Other category comparisons 2 other winning choices
All eight categories for Burkina Faso against Madagascar
Category
Burkina Faso
Madagascar
Result
Areakm² · Higher wins ↑
274,200
587,041
Would lose
Populationpeople · Higher wins ↑
23,025,776
31,195,932
Would lose
Wealth per personint’l $ · Higher wins ↑
2,762
1,810
Would win
Densityper km² · Higher wins ↑
84.0
53.1
Would win
Highest peakm · Higher wins ↑
749
2,876
Would lose
Coastlinekm · Higher wins ↑
0
4,828
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
12.8° N
18.4° S
Would win
39
Round 39Won49 countries · 3 lives left
LebanonvsCabo Verde
Density: 555.1 vs 129.5 per km² · Higher wins ↑
Conquered Cabo Verde.
Other category comparisons 4 other winning choices
All eight categories for Lebanon against Cabo Verde
Category
Lebanon
Cabo Verde
Result
Areakm² · Higher wins ↑
10,400
4,033
Would win
Populationpeople · Higher wins ↑
5,773,493
522,331
Would win
Wealth per personint’l $ · Higher wins ↑
12,585
10,251
Would win
Densityper km² · Higher wins ↑ · Chosen
555.1
129.5
Would win
Highest peakm · Higher wins ↑
3,088
2,829
Would win
Coastlinekm · Higher wins ↑
225
965
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.2° N
15.0° N
Would lose
40
Round 40Won50 countries · 3 lives left
South AfricavsCyprus
Population: 63,212,384 vs 1,344,976 people · Higher wins ↑
Conquered Cyprus.
Other category comparisons 5 other winning choices
All eight categories for South Africa against Cyprus
Category
South Africa
Cyprus
Result
Areakm² · Higher wins ↑
1,219,090
9,251
Would win
Populationpeople · Higher wins ↑ · Chosen
63,212,384
1,344,976
Would win
Wealth per personint’l $ · Higher wins ↑
15,212
59,875
Would lose
Densityper km² · Higher wins ↑
51.9
145.4
Would lose
Highest peakm · Higher wins ↑
3,450
1,951
Would win
Coastlinekm · Higher wins ↑
2,798
648
Would win
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓