Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
61
Round 61Won73 countries · 4 lives left
ParaguayvsEswatini
Area: 406,752 vs 17,364 km² · Higher wins ↑
Conquered Eswatini.
Other category comparisons 3 other winning choices
All eight categories for Paraguay against Eswatini
Category
Paraguay
Eswatini
Result
Areakm² · Higher wins ↑ · Chosen
406,752
17,364
Would win
Populationpeople · Higher wins ↑
6,844,146
1,230,506
Would win
Wealth per personint’l $ · Higher wins ↑
17,585
11,309
Would win
Densityper km² · Higher wins ↑
16.8
70.9
Would lose
Highest peakm · Higher wins ↑
842
1,862
Would lose
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
6
6
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
21.6° S
26.6° S
Would win
62
Round 62Won74 countries · 4 lives left
GreecevsGhana
Wealth per person: 42,614 vs 7,563 int’l $ · Higher wins ↑
Conquered Ghana.
Other category comparisons 2 other winning choices
All eight categories for Greece against Ghana
Category
Greece
Ghana
Result
Areakm² · Higher wins ↑
131,957
238,533
Would lose
Populationpeople · Higher wins ↑
10,407,351
33,787,914
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
42,614
7,563
Would win
Densityper km² · Higher wins ↑
78.9
141.6
Would lose
Highest peakm · Higher wins ↑
2,917
885
Would win
Coastlinekm · Higher wins ↑
13,676
539
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.8° N
7.0° N
Would lose
63
Round 63Won75 countries · 4 lives left
PeruvsEritrea
Area: 1,285,216 vs 117,600 km² · Higher wins ↑
Conquered Eritrea.
Other category comparisons 4 other winning choices
All eight categories for Peru against Eritrea
Category
Peru
Eritrea
Result
Areakm² · Higher wins ↑ · Chosen
1,285,216
117,600
Would win
Populationpeople · Higher wins ↑
33,845,617
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
17,042
Unavailable
Unavailable
Densityper km² · Higher wins ↑
26.3
29.5
Would lose
Highest peakm · Higher wins ↑
6,746
3,018
Would win
Coastlinekm · Higher wins ↑
2,414
2,234
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
13.0° S
16.0° N
Would win
64
Round 64Won76 countries · 4 lives left
ArmeniavsPhilippines
Highest peak: 4,090 vs 2,954 m · Higher wins ↑
Conquered Philippines.
Other category comparisons 1 other winning choice
All eight categories for Armenia against Philippines
Category
Armenia
Philippines
Result
Areakm² · Higher wins ↑
29,743
300,000
Would lose
Populationpeople · Higher wins ↑
2,964,300
114,891,199
Would lose
Wealth per personint’l $ · Higher wins ↑
21,552
10,995
Would win
Densityper km² · Higher wins ↑
99.7
383.0
Would lose
Highest peakm · Higher wins ↑ · Chosen
4,090
2,954
Would win
Coastlinekm · Higher wins ↑
0
36,289
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
40.6° N
17.0° N
Would lose
65
Round 65Won77 countries · 4 lives left
SudanvsGermany
Area: 1,861,484 vs 357,022 km² · Higher wins ↑
Conquered Germany.
Other category comparisons 3 other winning choices
All eight categories for Sudan against Germany
Category
Sudan
Germany
Result
Areakm² · Higher wins ↑ · Chosen
1,861,484
357,022
Would win
Populationpeople · Higher wins ↑
50,042,791
83,287,273
Would lose
Wealth per personint’l $ · Higher wins ↑
2,423
72,262
Would lose
Densityper km² · Higher wins ↑
26.9
233.3
Would lose
Highest peakm · Higher wins ↑
3,042
2,963
Would win
Coastlinekm · Higher wins ↑
853
2,389
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
51.0° N
Would win
66
Round 66Lost76 countries · 3 lives left
Equatorial GuineavsGabon
Proximity to equator: 1.6° N vs 0.6° S from the equator · Closer wins ↓
Returned to the world: Equatorial Guinea.
Other category comparisons 3 other winning choices
All eight categories for Equatorial Guinea against Gabon
Category
Equatorial Guinea
Gabon
Result
Areakm² · Higher wins ↑
28,051
267,667
Would lose
Populationpeople · Higher wins ↑
1,847,549
2,484,789
Would lose
Wealth per personint’l $ · Higher wins ↑
16,997
20,773
Would lose
Densityper km² · Higher wins ↑
65.9
9.3
Would win
Highest peakm · Higher wins ↑
3,008
1,050
Would win
Coastlinekm · Higher wins ↑
296
885
Would lose
Flag colourscolours · Higher wins ↑
8
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.6° N
0.6° S
Would lose
67
Round 67Won77 countries · 3 lives left
JapanvsAfghanistan
Population: 124,516,650 vs 41,454,761 people · Higher wins ↑
Conquered Afghanistan.
Other category comparisons 3 other winning choices
All eight categories for Japan against Afghanistan
Category
Japan
Afghanistan
Result
Areakm² · Higher wins ↑
377,915
652,230
Would lose
Populationpeople · Higher wins ↑ · Chosen
124,516,650
41,454,761
Would win
Wealth per personint’l $ · Higher wins ↑
52,726
2,204
Would win
Densityper km² · Higher wins ↑
329.5
63.6
Would win
Highest peakm · Higher wins ↑
3,776
7,492
Would lose
Coastlinekm · Higher wins ↑
29,751
0
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
36.7° N
34.3° N
Would lose
68
Round 68Won78 countries · 3 lives left
Solomon IslandsvsUnited Arab Emirates
Coastline: 5,313 vs 1,318 km · Higher wins ↑
Conquered United Arab Emirates.
Other category comparisons 2 other winning choices
All eight categories for Solomon Islands against United Arab Emirates
Category
Solomon Islands
United Arab Emirates
Result
Areakm² · Higher wins ↑
28,896
83,600
Would lose
Populationpeople · Higher wins ↑
800,005
10,483,751
Would lose
Wealth per personint’l $ · Higher wins ↑
2,599
78,020
Would lose
Densityper km² · Higher wins ↑
27.7
125.4
Would lose
Highest peakm · Higher wins ↑
2,335
1,905
Would win
Coastlinekm · Higher wins ↑ · Chosen
5,313
1,318
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
9.6° S
23.5° N
Would win
69
Round 69Won79 countries · 3 lives left
PalestinevsSouth Sudan
Density: 830.5 vs 17.8 per km² · Higher wins ↑
Conquered South Sudan.
Other category comparisons 1 other winning choice
All eight categories for Palestine against South Sudan
Category
Palestine
South Sudan
Result
Areakm² · Higher wins ↑
6,220
644,329
Would lose
Populationpeople · Higher wins ↑
5,165,775
11,483,374
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
6,179
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
830.5
17.8
Would win
Highest peakm · Higher wins ↑
1,020
3,187
Would lose
Coastlinekm · Higher wins ↑
40
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
32.1° N
7.1° N
Would lose
70
Round 70Won80 countries · 3 lives left
GeorgiavsBelize
Highest peak: 5,193 vs 1,124 m · Higher wins ↑
Conquered Belize.
Other category comparisons 4 other winning choices
All eight categories for Georgia against Belize
Category
Georgia
Belize
Result
Areakm² · Higher wins ↑
69,700
22,966
Would win
Populationpeople · Higher wins ↑
3,715,483
411,106
Would win
Wealth per personint’l $ · Higher wins ↑
25,093
13,741
Would win
Densityper km² · Higher wins ↑
53.3
17.9
Would win
Highest peakm · Higher wins ↑ · Chosen
5,193
1,124
Would win
Coastlinekm · Higher wins ↑
310
386
Would lose
Flag colourscolours · Higher wins ↑
2
12
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.4° N
17.0° N
Would lose
71
Round 71Won81 countries · 3 lives left
HungaryvsPapua New Guinea
Wealth per person: 46,376 vs 4,672 int’l $ · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 1 other winning choice
All eight categories for Hungary against Papua New Guinea
Category
Hungary
Papua New Guinea
Result
Areakm² · Higher wins ↑
93,028
462,840
Would lose
Populationpeople · Higher wins ↑
9,592,186
10,389,635
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
46,376
4,672
Would win
Densityper km² · Higher wins ↑
103.1
22.4
Would win
Highest peakm · Higher wins ↑
1,014
4,509
Would lose
Coastlinekm · Higher wins ↑
0
5,152
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
47.3° N
5.5° S
Would lose
72
Round 72Won82 countries · 3 lives left
TogovsAustria
Proximity to equator: 8.9° N vs 47.7° N from the equator · Closer wins ↓
Conquered Austria.
Other category comparisons 3 other winning choices
All eight categories for Togo against Austria
Category
Togo
Austria
Result
Areakm² · Higher wins ↑
56,785
83,871
Would lose
Populationpeople · Higher wins ↑
8,223,850
9,131,761
Would lose
Wealth per personint’l $ · Higher wins ↑
3,572
74,261
Would lose
Densityper km² · Higher wins ↑
144.8
108.9
Would win
Highest peakm · Higher wins ↑
986
3,798
Would lose
Coastlinekm · Higher wins ↑
56
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.9° N
47.7° N
Would win
73
Round 73Won83 countries · 3 lives left
MaldivesvsMozambique
Density: 1,765.1 vs 42.1 per km² · Higher wins ↑
Conquered Mozambique.
Other category comparisons 2 other winning choices
All eight categories for Maldives against Mozambique
Category
Maldives
Mozambique
Result
Areakm² · Higher wins ↑
298
799,380
Would lose
Populationpeople · Higher wins ↑
525,994
33,635,160
Would lose
Wealth per personint’l $ · Higher wins ↑
24,807
1,680
Would win
Densityper km² · Higher wins ↑ · Chosen
1,765.1
42.1
Would win
Highest peakm · Higher wins ↑
5
2,436
Would lose
Coastlinekm · Higher wins ↑
644
2,470
Would lose
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
3.3° N
14.0° S
Would win
74
Round 74Won84 countries · 3 lives left
PanamavsHonduras
Proximity to equator: 8.4° N vs 14.7° N from the equator · Closer wins ↓
Conquered Honduras.
Other category comparisons 4 other winning choices
All eight categories for Panama against Honduras
Category
Panama
Honduras
Result
Areakm² · Higher wins ↑
75,420
112,090
Would lose
Populationpeople · Higher wins ↑
4,458,759
10,644,851
Would lose
Wealth per personint’l $ · Higher wins ↑
39,846
7,184
Would win
Densityper km² · Higher wins ↑
59.1
95.0
Would lose
Highest peakm · Higher wins ↑
3,475
2,870
Would win
Coastlinekm · Higher wins ↑
2,490
823
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
8.4° N
14.7° N
Would win
75
Round 75Won85 countries · 3 lives left
PortugalvsPoland
Proximity to equator: 40.7° N vs 51.9° N from the equator · Closer wins ↓
Conquered Poland.
Other category comparisons 3 other winning choices
All eight categories for Portugal against Poland
Category
Portugal
Poland
Result
Areakm² · Higher wins ↑
92,090
312,685
Would lose
Populationpeople · Higher wins ↑
10,578,174
36,687,353
Would lose
Wealth per personint’l $ · Higher wins ↑
49,800
48,473
Would win
Densityper km² · Higher wins ↑
114.9
117.3
Would lose
Highest peakm · Higher wins ↑
2,351
2,499
Would lose
Coastlinekm · Higher wins ↑
1,793
440
Would win
Flag colourscolours · Higher wins ↑
6
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
40.7° N
51.9° N
Would win
76
Round 76Won86 countries · 3 lives left
MaltavsYemen
Density: 1,749.2 vs 74.6 per km² · Higher wins ↑
Conquered Yemen.
Other category comparisons 0 other winning choices
All eight categories for Malta against Yemen
Category
Malta
Yemen
Result
Areakm² · Higher wins ↑
316
527,968
Would lose
Populationpeople · Higher wins ↑
552,747
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
67,101
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
1,749.2
74.6
Would win
Highest peakm · Higher wins ↑
253
3,666
Would lose
Coastlinekm · Higher wins ↑
196.8
1,906
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
35.9° N
15.3° N
Would lose
77
Round 77Won87 countries · 3 lives left
TanzaniavsBurkina Faso
Population: 66,617,606 vs 23,025,776 people · Higher wins ↑
Conquered Burkina Faso.
Other category comparisons 6 other winning choices
All eight categories for Tanzania against Burkina Faso
Category
Tanzania
Burkina Faso
Result
Areakm² · Higher wins ↑
947,300
274,200
Would win
Populationpeople · Higher wins ↑ · Chosen
66,617,606
23,025,776
Would win
Wealth per personint’l $ · Higher wins ↑
4,022
2,762
Would win
Densityper km² · Higher wins ↑
70.3
84.0
Would lose
Highest peakm · Higher wins ↑
5,895
749
Would win
Coastlinekm · Higher wins ↑
1,424
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
5.5° S
12.8° N
Would win
78
Round 78Won88 countries · 3 lives left
RussiavsMorocco
Area: 17,098,242 vs 446,550 km² · Higher wins ↑
Conquered Morocco.
Other category comparisons 5 other winning choices
All eight categories for Russia against Morocco
Category
Russia
Morocco
Result
Areakm² · Higher wins ↑ · Chosen
17,098,242
446,550
Would win
Populationpeople · Higher wins ↑
143,826,130
37,712,505
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
9,903
Would win
Densityper km² · Higher wins ↑
8.4
84.5
Would lose
Highest peakm · Higher wins ↑
5,642
4,165
Would win
Coastlinekm · Higher wins ↑
37,653
1,835
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
31.9° N
Would lose
79
Round 79Won89 countries · 3 lives left
LithuaniavsGuinea
Wealth per person: 52,720 vs 4,337 int’l $ · Higher wins ↑
Conquered Guinea.
Other category comparisons 0 other winning choices
All eight categories for Lithuania against Guinea
Category
Lithuania
Guinea
Result
Areakm² · Higher wins ↑
65,300
245,857
Would lose
Populationpeople · Higher wins ↑
2,871,585
14,405,468
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
52,720
4,337
Would win
Densityper km² · Higher wins ↑
44.0
58.6
Would lose
Highest peakm · Higher wins ↑
294
1,752
Would lose
Coastlinekm · Higher wins ↑
90
320
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
10.7° N
Would lose
80
Round 80Won90 countries · 3 lives left
Saudi ArabiavsChina
Wealth per person: 71,624 vs 25,200 int’l $ · Higher wins ↑
Conquered China.
Other category comparisons 1 other winning choice
All eight categories for Saudi Arabia against China
Category
Saudi Arabia
China
Result
Areakm² · Higher wins ↑
2,149,690
9,596,960
Would lose
Populationpeople · Higher wins ↑
33,702,731
1,410,710,000
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
71,624
25,200
Would win
Densityper km² · Higher wins ↑
15.7
147.0
Would lose
Highest peakm · Higher wins ↑
3,000
8,849
Would lose
Coastlinekm · Higher wins ↑
2,640
14,500
Would lose
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Paraguayvs
Eswatini
Greece
Ghana
Peru
Eritrea
Armenia
Philippines
Sudan
Germany
Equatorial Guinea
Gabon
Japan
Afghanistan
Solomon Islands
United Arab Emirates
Palestine
South Sudan
Georgia
Belize
Hungary
Papua New Guinea
Togo
Austria
Maldives
Mozambique
Panama
Honduras
Portugal
Poland
Malta
Yemen
Tanzania
Burkina Faso
Russia
Morocco
Lithuania
Guinea
Saudi Arabia
China