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
SerbiavsEgypt
Wealth per person: 29,777 vs 18,540 int’l $ · Higher wins ↑
Conquered Egypt.
Other category comparisons 1 other winning choice
All eight categories for Serbia against Egypt
Category
Serbia
Egypt
Result
Areakm² · Higher wins ↑
77,474
1,001,450
Would lose
Populationpeople · Higher wins ↑
6,623,183
114,535,772
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
29,777
18,540
Would win
Densityper km² · Higher wins ↑
85.5
114.4
Would lose
Highest peakm · Higher wins ↑
2,169
2,629
Would lose
Coastlinekm · Higher wins ↑
0
2,450
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
44.2° N
26.3° N
Would lose
2
Round 2Won14 countries · 4 lives left
UkrainevsGabon
Population: 37,732,836 vs 2,484,789 people · Higher wins ↑
Conquered Gabon.
Other category comparisons 4 other winning choices
All eight categories for Ukraine against Gabon
Category
Ukraine
Gabon
Result
Areakm² · Higher wins ↑
603,550
267,667
Would win
Populationpeople · Higher wins ↑ · Chosen
37,732,836
2,484,789
Would win
Wealth per personint’l $ · Higher wins ↑
17,680
20,773
Would lose
Densityper km² · Higher wins ↑
62.5
9.3
Would win
Highest peakm · Higher wins ↑
2,061
1,050
Would win
Coastlinekm · Higher wins ↑
2,782
885
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
0.6° S
Would lose
3
Round 3Won15 countries · 4 lives left
LibyavsBhutan
Area: 1,759,540 vs 38,394 km² · Higher wins ↑
Conquered Bhutan.
Other category comparisons 3 other winning choices
All eight categories for Libya against Bhutan
Category
Libya
Bhutan
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
38,394
Would win
Populationpeople · Higher wins ↑
7,305,659
786,385
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
16,229
Would lose
Densityper km² · Higher wins ↑
4.2
20.5
Would lose
Highest peakm · Higher wins ↑
2,267
7,570
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
27.5° N
Would win
4
Round 4Won16 countries · 4 lives left
BoliviavsHaiti
Highest peak: 6,542 vs 2,674 m · Higher wins ↑
Conquered Haiti.
Other category comparisons 5 other winning choices
All eight categories for Bolivia against Haiti
Category
Bolivia
Haiti
Result
Areakm² · Higher wins ↑
1,098,581
27,750
Would win
Populationpeople · Higher wins ↑
12,244,159
11,637,398
Would win
Wealth per personint’l $ · Higher wins ↑
12,903
3,265
Would win
Densityper km² · Higher wins ↑
11.1
419.4
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,542
2,674
Would win
Coastlinekm · Higher wins ↑
0
1,771
Would lose
Flag colourscolours · Higher wins ↑
9
7
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.7° S
19.2° N
Would win
5
Round 5Won17 countries · 4 lives left
SudanvsSomalia
Area: 1,861,484 vs 637,657 km² · Higher wins ↑
Conquered Somalia.
Other category comparisons 4 other winning choices
All eight categories for Sudan against Somalia
Category
Sudan
Somalia
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
637,657
Would win
Populationpeople · Higher wins ↑
50,042,791
18,358,615
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
1,557
Would win
Densityper km² · Higher wins ↑
26.9
28.8
Would lose
Highest peakm · Higher wins ↑
3,042
2,460
Would win
Coastlinekm · Higher wins ↑
853
3,025
Would lose
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
2.6° N
Would lose
6
Round 6Won18 countries · 4 lives left
PolandvsSouth Korea
Area: 312,685 vs 99,720 km² · Higher wins ↑
Conquered South Korea.
Other category comparisons 1 other winning choice
All eight categories for Poland against South Korea
Category
Poland
South Korea
Result
Areakm² · Higher wins ↑ · Chosen
312,685
99,720
Would win
Populationpeople · Higher wins ↑
36,687,353
51,712,619
Would lose
Wealth per personint’l $ · Higher wins ↑
48,473
57,430
Would lose
Densityper km² · Higher wins ↑
117.3
518.6
Would lose
Highest peakm · Higher wins ↑
2,499
1,950
Would win
Coastlinekm · Higher wins ↑
440
2,413
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.9° N
36.3° N
Would lose
7
Round 7Won19 countries · 4 lives left
NicaraguavsGhana
Coastline: 910 vs 539 km · Higher wins ↑
Conquered Ghana.
Other category comparisons 3 other winning choices
All eight categories for Nicaragua against Ghana
Category
Nicaragua
Ghana
Result
Areakm² · Higher wins ↑
130,370
238,533
Would lose
Populationpeople · Higher wins ↑
6,823,613
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑
8,327
7,563
Would win
Densityper km² · Higher wins ↑
52.3
141.6
Would lose
Highest peakm · Higher wins ↑
2,085
885
Would win
Coastlinekm · Higher wins ↑ · Chosen
910
539
Would win
Flag colourscolours · Higher wins ↑
10
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° N
7.0° N
Would lose
8
Round 8Won20 countries · 4 lives left
SurinamevsRussia
Proximity to equator: 4.1° N vs 63.6° N from the equator · Closer wins ↓
Conquered Russia.
Other category comparisons 1 other winning choice
All eight categories for Suriname against Russia
Category
Suriname
Russia
Result
Areakm² · Higher wins ↑
163,820
17,098,242
Would lose
Populationpeople · Higher wins ↑
628,886
143,826,130
Would lose
Wealth per personint’l $ · Higher wins ↑
21,128
44,299
Would lose
Densityper km² · Higher wins ↑
3.8
8.4
Would lose
Highest peakm · Higher wins ↑
1,230
5,642
Would lose
Coastlinekm · Higher wins ↑
386
37,653
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.1° N
63.6° N
Would win
9
Round 9Won21 countries · 4 lives left
GreecevsOman
Coastline: 13,676 vs 2,092 km · Higher wins ↑
Conquered Oman.
Other category comparisons 3 other winning choices
All eight categories for Greece against Oman
Category
Greece
Oman
Result
Areakm² · Higher wins ↑
131,957
309,500
Would lose
Populationpeople · Higher wins ↑
10,407,351
5,049,269
Would win
Wealth per personint’l $ · Higher wins ↑
42,614
41,980
Would win
Densityper km² · Higher wins ↑
78.9
16.3
Would win
Highest peakm · Higher wins ↑
2,917
3,004
Would lose
Coastlinekm · Higher wins ↑ · Chosen
13,676
2,092
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.8° N
22.1° N
Would lose
10
Round 10Won22 countries · 4 lives left
SlovakiavsLaos
Wealth per person: 45,865 vs 9,299 int’l $ · Higher wins ↑
Conquered Laos.
Other category comparisons 1 other winning choice
All eight categories for Slovakia against Laos
Category
Slovakia
Laos
Result
Areakm² · Higher wins ↑
49,035
236,800
Would lose
Populationpeople · Higher wins ↑
5,426,740
7,664,993
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
45,865
9,299
Would win
Densityper km² · Higher wins ↑
110.7
32.4
Would win
Highest peakm · Higher wins ↑
2,655
2,817
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
48.7° N
19.6° N
Would lose
11
Round 11Won23 countries · 4 lives left
GeorgiavsKenya
Wealth per person: 25,093 vs 6,322 int’l $ · Higher wins ↑
Conquered Kenya.
Other category comparisons 0 other winning choices
All eight categories for Georgia against Kenya
Category
Georgia
Kenya
Result
Areakm² · Higher wins ↑
69,700
580,367
Would lose
Populationpeople · Higher wins ↑
3,715,483
55,339,003
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
25,093
6,322
Would win
Densityper km² · Higher wins ↑
53.3
95.4
Would lose
Highest peakm · Higher wins ↑
5,193
5,199
Would lose
Coastlinekm · Higher wins ↑
310
536
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.4° N
0.4° N
Would lose
12
Round 12Won24 countries · 4 lives left
BahamasvsFrance
Proximity to equator: 24.7° N vs 46.7° N from the equator · Closer wins ↓
Conquered France.
Other category comparisons 1 other winning choice
All eight categories for Bahamas against France
Category
Bahamas
France
Result
Areakm² · Higher wins ↑
13,880
551,500
Would lose
Populationpeople · Higher wins ↑
399,440
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
39,122
60,927
Would lose
Densityper km² · Higher wins ↑
28.8
119.5
Would lose
Highest peakm · Higher wins ↑
64
4,810
Would lose
Coastlinekm · Higher wins ↑
3,542
3,427
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
24.7° N
46.7° N
Would win
13
Round 13Won25 countries · 4 lives left
SerbiavsZimbabwe
Wealth per person: 29,777 vs 5,796 int’l $ · Higher wins ↑
Conquered Zimbabwe.
Other category comparisons 1 other winning choice
All eight categories for Serbia against Zimbabwe
Category
Serbia
Zimbabwe
Result
Areakm² · Higher wins ↑
77,474
390,757
Would lose
Populationpeople · Higher wins ↑
6,623,183
16,340,822
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
29,777
5,796
Would win
Densityper km² · Higher wins ↑
85.5
41.8
Would win
Highest peakm · Higher wins ↑
2,169
2,592
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
5
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
44.2° N
19.0° S
Would lose
14
Round 14Won26 countries · 4 lives left
EgyptvsNiger
Population: 114,535,772 vs 26,159,867 people · Higher wins ↑
Conquered Niger.
Other category comparisons 5 other winning choices
All eight categories for Egypt against Niger
Category
Egypt
Niger
Result
Areakm² · Higher wins ↑
1,001,450
1,267,000
Would lose
Populationpeople · Higher wins ↑ · Chosen
114,535,772
26,159,867
Would win
Wealth per personint’l $ · Higher wins ↑
18,540
1,903
Would win
Densityper km² · Higher wins ↑
114.4
20.6
Would win
Highest peakm · Higher wins ↑
2,629
2,022
Would win
Coastlinekm · Higher wins ↑
2,450
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.3° N
17.6° N
Would lose
15
Round 15Won27 countries · 4 lives left
UkrainevsUnited States
Density: 62.5 vs 34.2 per km² · Higher wins ↑
Conquered United States.
Other category comparisons 0 other winning choices
All eight categories for Ukraine against United States
Category
Ukraine
United States
Result
Areakm² · Higher wins ↑
603,550
9,833,517
Would lose
Populationpeople · Higher wins ↑
37,732,836
336,755,052
Would lose
Wealth per personint’l $ · Higher wins ↑
17,680
82,587
Would lose
Densityper km² · Higher wins ↑ · Chosen
62.5
34.2
Would win
Highest peakm · Higher wins ↑
2,061
6,190
Would lose
Coastlinekm · Higher wins ↑
2,782
19,924
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
39.1° N
Would lose
16
Round 16Won28 countries · 4 lives left
GabonvsMalawi
Proximity to equator: 0.6° S vs 13.4° S from the equator · Closer wins ↓
Conquered Malawi.
Other category comparisons 3 other winning choices
All eight categories for Gabon against Malawi
Category
Gabon
Malawi
Result
Areakm² · Higher wins ↑
267,667
118,484
Would win
Populationpeople · Higher wins ↑
2,484,789
21,104,482
Would lose
Wealth per personint’l $ · Higher wins ↑
20,773
1,832
Would win
Densityper km² · Higher wins ↑
9.3
178.1
Would lose
Highest peakm · Higher wins ↑
1,050
3,002
Would lose
Coastlinekm · Higher wins ↑
885
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
13.4° S
Would win
17
Round 17Won29 countries · 4 lives left
LibyavsLebanon
Area: 1,759,540 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 5 other winning choices
All eight categories for Libya against Lebanon
Category
Libya
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
1,759,540
10,400
Would win
Populationpeople · Higher wins ↑
7,305,659
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
13,858
12,585
Would win
Densityper km² · Higher wins ↑
4.2
555.1
Would lose
Highest peakm · Higher wins ↑
2,267
3,088
Would lose
Coastlinekm · Higher wins ↑
1,770
225
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.1° N
34.2° N
Would win
18
Round 18Won30 countries · 4 lives left
BhutanvsMalta
Highest peak: 7,570 vs 253 m · Higher wins ↑
Conquered Malta.
Other category comparisons 4 other winning choices
All eight categories for Bhutan against Malta
Category
Bhutan
Malta
Result
Areakm² · Higher wins ↑
38,394
316
Would win
Populationpeople · Higher wins ↑
786,385
552,747
Would win
Wealth per personint’l $ · Higher wins ↑
16,229
67,101
Would lose
Densityper km² · Higher wins ↑
20.5
1,749.2
Would lose
Highest peakm · Higher wins ↑ · Chosen
7,570
253
Would win
Coastlinekm · Higher wins ↑
0
196.8
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
27.5° N
35.9° N
Would win
19
Round 19Won31 countries · 4 lives left
BoliviavsKazakhstan
Proximity to equator: 16.7° S vs 48.5° N from the equator · Closer wins ↓
Conquered Kazakhstan.
Other category comparisons 2 other winning choices
All eight categories for Bolivia against Kazakhstan
Category
Bolivia
Kazakhstan
Result
Areakm² · Higher wins ↑
1,098,581
2,724,900
Would lose
Populationpeople · Higher wins ↑
12,244,159
20,330,104
Would lose
Wealth per personint’l $ · Higher wins ↑
12,903
38,547
Would lose
Densityper km² · Higher wins ↑
11.1
7.5
Would win
Highest peakm · Higher wins ↑
6,542
7,010
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
9
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
16.7° S
48.5° N
Would win
20
Round 20Won32 countries · 4 lives left
HaitivsNorth Korea
Density: 419.4 vs 219.2 per km² · Higher wins ↑
Conquered North Korea.
Other category comparisons 2 other winning choices
All eight categories for Haiti against North Korea
Category
Haiti
North Korea
Result
Areakm² · Higher wins ↑
27,750
120,538
Would lose
Populationpeople · Higher wins ↑
11,637,398
26,418,204
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
3,265
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
419.4
219.2
Would win
Highest peakm · Higher wins ↑
2,674
2,744
Would lose
Coastlinekm · Higher wins ↑
1,771
2,495
Would lose
Flag colourscolours · Higher wins ↑
7
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Serbiavs
Egypt
Ukraine
Gabon
Libya
Bhutan
Bolivia
Haiti
Sudan
Somalia
Poland
South Korea
Nicaragua
Ghana
Suriname
Russia
Greece
Oman
Slovakia
Laos
Georgia
Kenya
Bahamas
France
Zimbabwe
Niger
United States
Malawi
Lebanon
Malta
Kazakhstan
North Korea