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
ChinavsIran
Population: 1,410,710,000 vs 90,608,707 people · Higher wins ↑
Conquered Iran.
Other category comparisons 5 other winning choices
All eight categories for China against Iran
Category
China
Iran
Result
Areakm² · Higher wins ↑
9,596,960
1,648,195
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
90,608,707
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
18,933
Would win
Densityper km² · Higher wins ↑
147.0
55.0
Would win
Highest peakm · Higher wins ↑
8,849
5,625
Would win
Coastlinekm · Higher wins ↑
14,500
2,440
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
32.1° N
Would lose
2
Round 2Won14 countries · 4 lives left
NetherlandsvsEritrea
Density: 430.3 vs 29.5 per km² · Higher wins ↑
Conquered Eritrea.
Other category comparisons 1 other winning choice
All eight categories for Netherlands against Eritrea
Category
Netherlands
Eritrea
Result
Areakm² · Higher wins ↑
41,543
117,600
Would lose
Populationpeople · Higher wins ↑
17,877,117
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
80,392
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
430.3
29.5
Would win
Highest peakm · Higher wins ↑
322
3,018
Would lose
Coastlinekm · Higher wins ↑
451
2,234
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.2° N
16.0° N
Would lose
3
Round 3Won15 countries · 4 lives left
PhilippinesvsDjibouti
Population: 114,891,199 vs 1,152,944 people · Higher wins ↑
Conquered Djibouti.
Other category comparisons 5 other winning choices
All eight categories for Philippines against Djibouti
Category
Philippines
Djibouti
Result
Areakm² · Higher wins ↑
300,000
23,200
Would win
Populationpeople · Higher wins ↑ · Chosen
114,891,199
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
7,232
Would win
Densityper km² · Higher wins ↑
383.0
49.7
Would win
Highest peakm · Higher wins ↑
2,954
2,021
Would win
Coastlinekm · Higher wins ↑
36,289
314
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
11.4° N
Would lose
4
Round 4Won16 countries · 4 lives left
MalawivsItaly
Proximity to equator: 13.4° S vs 45.1° N from the equator · Closer wins ↓
Conquered Italy.
Other category comparisons 0 other winning choices
All eight categories for Malawi against Italy
Category
Malawi
Italy
Result
Areakm² · Higher wins ↑
118,484
301,340
Would lose
Populationpeople · Higher wins ↑
21,104,482
58,984,216
Would lose
Wealth per personint’l $ · Higher wins ↑
1,832
60,350
Would lose
Densityper km² · Higher wins ↑
178.1
195.7
Would lose
Highest peakm · Higher wins ↑
3,002
4,748
Would lose
Coastlinekm · Higher wins ↑
0
7,600
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
13.4° S
45.1° N
Would win
5
Round 5Won17 countries · 4 lives left
BurundivsBolivia
Proximity to equator: 3.4° S vs 16.7° S from the equator · Closer wins ↓
Conquered Bolivia.
Other category comparisons 2 other winning choices
All eight categories for Burundi against Bolivia
Category
Burundi
Bolivia
Result
Areakm² · Higher wins ↑
27,830
1,098,581
Would lose
Populationpeople · Higher wins ↑
13,689,450
12,244,159
Would win
Wealth per personint’l $ · Higher wins ↑
1,147
12,903
Would lose
Densityper km² · Higher wins ↑
491.9
11.1
Would win
Highest peakm · Higher wins ↑
2,685
6,542
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
3.4° S
16.7° S
Would win
6
Round 6Won18 countries · 4 lives left
IsraelvsChile
Wealth per person: 55,301 vs 33,174 int’l $ · Higher wins ↑
Conquered Chile.
Other category comparisons 1 other winning choice
All eight categories for Israel against Chile
Category
Israel
Chile
Result
Areakm² · Higher wins ↑
21,937
756,102
Would lose
Populationpeople · Higher wins ↑
9,849,000
19,658,835
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
55,301
33,174
Would win
Densityper km² · Higher wins ↑
449.0
26.0
Would win
Highest peakm · Higher wins ↑
2,224
6,893
Would lose
Coastlinekm · Higher wins ↑
273
6,435
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
30.9° N
23.4° S
Would lose
7
Round 7Won19 countries · 4 lives left
GermanyvsAzerbaijan
Population: 83,287,273 vs 10,153,958 people · Higher wins ↑
Conquered Azerbaijan.
Other category comparisons 4 other winning choices
All eight categories for Germany against Azerbaijan
Category
Germany
Azerbaijan
Result
Areakm² · Higher wins ↑
357,022
86,600
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
10,153,958
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
23,671
Would win
Densityper km² · Higher wins ↑
233.3
117.3
Would win
Highest peakm · Higher wins ↑
2,963
4,466
Would lose
Coastlinekm · Higher wins ↑
2,389
0
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
40.5° N
Would lose
8
Round 8Won20 countries · 4 lives left
PakistanvsGhana
Population: 247,504,495 vs 33,787,914 people · Higher wins ↑
Conquered Ghana.
Other category comparisons 4 other winning choices
All eight categories for Pakistan against Ghana
Category
Pakistan
Ghana
Result
Areakm² · Higher wins ↑
796,095
238,533
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
33,787,914
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
7,563
Would lose
Densityper km² · Higher wins ↑
310.9
141.6
Would win
Highest peakm · Higher wins ↑
8,611
885
Would win
Coastlinekm · Higher wins ↑
1,046
539
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
7.0° N
Would lose
9
Round 9Won21 countries · 4 lives left
SudanvsBrunei
Area: 1,861,484 vs 5,765 km² · Higher wins ↑
Conquered Brunei.
Other category comparisons 3 other winning choices
All eight categories for Sudan against Brunei
Category
Sudan
Brunei
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
5,765
Would win
Populationpeople · Higher wins ↑
50,042,791
458,949
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
85,103
Would lose
Densityper km² · Higher wins ↑
26.9
79.6
Would lose
Highest peakm · Higher wins ↑
3,042
1,850
Would win
Coastlinekm · Higher wins ↑
853
161
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
4.5° N
Would lose
10
Round 10Won22 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
11
Round 11Won23 countries · 4 lives left
GreecevsGuinea
Coastline: 13,676 vs 320 km · Higher wins ↑
Conquered Guinea.
Other category comparisons 3 other winning choices
All eight categories for Greece against Guinea
Category
Greece
Guinea
Result
Areakm² · Higher wins ↑
131,957
245,857
Would lose
Populationpeople · Higher wins ↑
10,407,351
14,405,468
Would lose
Wealth per personint’l $ · Higher wins ↑
42,614
4,337
Would win
Densityper km² · Higher wins ↑
78.9
58.6
Would win
Highest peakm · Higher wins ↑
2,917
1,752
Would win
Coastlinekm · Higher wins ↑ · Chosen
13,676
320
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.8° N
10.7° N
Would lose
12
Round 12Won24 countries · 4 lives left
BahrainvsSpain
Wealth per person: 64,224 vs 55,661 int’l $ · Higher wins ↑
Conquered Spain.
Other category comparisons 2 other winning choices
All eight categories for Bahrain against Spain
Category
Bahrain
Spain
Result
Areakm² · Higher wins ↑
760
505,370
Would lose
Populationpeople · Higher wins ↑
1,577,059
48,352,528
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
64,224
55,661
Would win
Densityper km² · Higher wins ↑
2,075.1
95.7
Would win
Highest peakm · Higher wins ↑
135
3,718
Would lose
Coastlinekm · Higher wins ↑
161
4,964
Would lose
Flag colourscolours · Higher wins ↑
2
10
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
26.0° N
40.0° N
Would win
13
Round 13Won25 countries · 4 lives left
ChinavsLebanon
Population: 1,410,710,000 vs 5,773,493 people · Higher wins ↑
Conquered Lebanon.
Other category comparisons 5 other winning choices
All eight categories for China against Lebanon
Category
China
Lebanon
Result
Areakm² · Higher wins ↑
9,596,960
10,400
Would win
Populationpeople · Higher wins ↑ · Chosen
1,410,710,000
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑
25,200
12,585
Would win
Densityper km² · Higher wins ↑
147.0
555.1
Would lose
Highest peakm · Higher wins ↑
8,849
3,088
Would win
Coastlinekm · Higher wins ↑
14,500
225
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.5° N
34.2° N
Would win
14
Round 14Won26 countries · 4 lives left
IranvsLaos
Population: 90,608,707 vs 7,664,993 people · Higher wins ↑
Conquered Laos.
Other category comparisons 5 other winning choices
All eight categories for Iran against Laos
Category
Iran
Laos
Result
Areakm² · Higher wins ↑
1,648,195
236,800
Would win
Populationpeople · Higher wins ↑ · Chosen
90,608,707
7,664,993
Would win
Wealth per personint’l $ · Higher wins ↑
18,933
9,299
Would win
Densityper km² · Higher wins ↑
55.0
32.4
Would win
Highest peakm · Higher wins ↑
5,625
2,817
Would win
Coastlinekm · Higher wins ↑
2,440
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
19.6° N
Would lose
15
Round 15Won27 countries · 4 lives left
NetherlandsvsColombia
Wealth per person: 80,392 vs 21,282 int’l $ · Higher wins ↑
Conquered Colombia.
Other category comparisons 1 other winning choice
All eight categories for Netherlands against Colombia
Category
Netherlands
Colombia
Result
Areakm² · Higher wins ↑
41,543
1,138,910
Would lose
Populationpeople · Higher wins ↑
17,877,117
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
80,392
21,282
Would win
Densityper km² · Higher wins ↑
430.3
45.9
Would win
Highest peakm · Higher wins ↑
322
5,730
Would lose
Coastlinekm · Higher wins ↑
451
3,208
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
52.2° N
3.4° N
Would lose
16
Round 16Tied27 countries · 4 lives left
EritreavsAngola
Density: 29.5 vs 29.5 per km² · Higher wins ↑
Angola became contested.
Other category comparisons 3 other winning choices
All eight categories for Eritrea against Angola
Category
Eritrea
Angola
Result
Areakm² · Higher wins ↑
117,600
1,246,700
Would lose
Populationpeople · Higher wins ↑
3,470,390
36,749,906
Would lose
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
Unavailable
9,550
Unavailable
Densityper km² · Higher wins ↑ · Chosen
29.5
29.5
Would tie
Highest peakm · Higher wins ↑
3,018
2,620
Would win
Coastlinekm · Higher wins ↑
2,234
1,600
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.0° N
13.2° S
Would lose
17
Round 17Won29 countries · 4 lives left
PhilippinesvsGuatemala
Population: 114,891,199 vs 18,124,838 people · Higher wins ↑
Conquered Guatemala, Angola.
Other category comparisons 3 other winning choices
All eight categories for Philippines against Guatemala
Category
Philippines
Guatemala
Result
Areakm² · Higher wins ↑
300,000
108,889
Would win
Populationpeople · Higher wins ↑ · Chosen
114,891,199
18,124,838
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
13,752
Would lose
Densityper km² · Higher wins ↑
383.0
166.5
Would win
Highest peakm · Higher wins ↑
2,954
4,220
Would lose
Coastlinekm · Higher wins ↑
36,289
400
Would win
Flag colourscolours · Higher wins ↑
4
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
15.0° N
Would lose
18
Round 18Won30 countries · 4 lives left
DjiboutivsFrance
Proximity to equator: 11.4° N vs 46.7° N from the equator · Closer wins ↓
Conquered France.
Other category comparisons 1 other winning choice
All eight categories for Djibouti against France
Category
Djibouti
France
Result
Areakm² · Higher wins ↑
23,200
551,500
Would lose
Populationpeople · Higher wins ↑
1,152,944
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
7,232
60,927
Would lose
Densityper km² · Higher wins ↑
49.7
119.5
Would lose
Highest peakm · Higher wins ↑
2,021
4,810
Would lose
Coastlinekm · Higher wins ↑
314
3,427
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
11.4° N
46.7° N
Would win
19
Round 19Lost29 countries · 3 lives left
MalawivsMozambique
Flag colours: 3 vs 5 colours · Higher wins ↑
Returned to the world: Malawi.
Other category comparisons 4 other winning choices
All eight categories for Malawi against Mozambique
Category
Malawi
Mozambique
Result
Areakm² · Higher wins ↑
118,484
799,380
Would lose
Populationpeople · Higher wins ↑
21,104,482
33,635,160
Would lose
Wealth per personint’l $ · Higher wins ↑
1,832
1,680
Would win
Densityper km² · Higher wins ↑
178.1
42.1
Would win
Highest peakm · Higher wins ↑
3,002
2,436
Would win
Coastlinekm · Higher wins ↑
0
2,470
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Chinavs
Iran
Netherlands
Eritrea
Philippines
Djibouti
Malawi
Italy
Burundi
Bolivia
Israel
Chile
Germany
Azerbaijan
Pakistan
Ghana
Sudan
Brunei
Georgia
Kenya
Greece
Guinea
Bahrain
Spain
Lebanon
Laos
Colombia
Angola
Guatemala
France
Mozambique