Standard daily · 24 Sep UTC
Final · Grace period ended Closed at 01:00 UTC
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24 September 2026 · UTC

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Global win rate Final 75.0%

9 wins / 12 started attempts

Unfinished attempts count as losses.

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Daily solutions · available after the grace period

The ten shared matchups

Round 1 of 10Chad versus PalestineCompare categories
All comparisons for Chad and Palestine
CategoryChadPalestineResult
AreaHigher wins ↑ · km²1,284,0006,220Win
PopulationHigher wins ↑ · people19,319,0645,165,775Win
Wealth per personHigher wins ↑ · int’l $2,7036,179Loss
DensityHigher wins ↑ · per km²15.0830.5Loss
Highest peakHigher wins ↑ · m3,4451,020Win
CoastlineHigher wins ↑ · km040Loss
Flag coloursHigher wins ↑ · colours34Loss
Proximity to equatorCloser wins ↓ · degrees17.3° N32.1° NWin
Round 2 of 10Zimbabwe versus South KoreaCompare categories
All comparisons for Zimbabwe and South Korea
CategoryZimbabweSouth KoreaResult
AreaHigher wins ↑ · km²390,75799,720Win
PopulationHigher wins ↑ · people16,340,82251,712,619Loss
Wealth per personHigher wins ↑ · int’l $5,79657,430Loss
DensityHigher wins ↑ · per km²41.8518.6Loss
Highest peakHigher wins ↑ · m2,5921,950Win
CoastlineHigher wins ↑ · km02,413Loss
Flag coloursHigher wins ↑ · colours64Win
Proximity to equatorCloser wins ↓ · degrees19.0° S36.3° NWin
Round 3 of 10Timor-Leste versus LebanonCompare categories
All comparisons for Timor-Leste and Lebanon
CategoryTimor-LesteLebanonResult
AreaHigher wins ↑ · km²14,87410,400Win
PopulationHigher wins ↑ · people1,384,2865,773,493Loss
Wealth per personHigher wins ↑ · int’l $4,81112,585Loss
DensityHigher wins ↑ · per km²93.1555.1Loss
Highest peakHigher wins ↑ · m2,9633,088Loss
CoastlineHigher wins ↑ · km706225Win
Flag coloursHigher wins ↑ · colours43Win
Proximity to equatorCloser wins ↓ · degrees8.9° S34.2° NWin
Round 4 of 10Benin versus NepalCompare categories
All comparisons for Benin and Nepal
CategoryBeninNepalResult
AreaHigher wins ↑ · km²112,622147,181Loss
PopulationHigher wins ↑ · people14,111,03429,694,614Loss
Wealth per personHigher wins ↑ · int’l $4,1335,400Loss
DensityHigher wins ↑ · per km²125.3201.8Loss
Highest peakHigher wins ↑ · m6758,849Loss
CoastlineHigher wins ↑ · km1210Win
Flag coloursHigher wins ↑ · colours33Tie
Proximity to equatorCloser wins ↓ · degrees10.4° N29.0° NWin
Round 5 of 10Algeria versus TanzaniaCompare categories
All comparisons for Algeria and Tanzania
CategoryAlgeriaTanzaniaResult
AreaHigher wins ↑ · km²2,381,740947,300Win
PopulationHigher wins ↑ · people46,164,21966,617,606Loss
Wealth per personHigher wins ↑ · int’l $16,8384,022Win
DensityHigher wins ↑ · per km²19.470.3Loss
Highest peakHigher wins ↑ · m2,9085,895Loss
CoastlineHigher wins ↑ · km9981,424Loss
Flag coloursHigher wins ↑ · colours34Loss
Proximity to equatorCloser wins ↓ · degrees27.4° N5.5° SLoss
Round 6 of 10South Africa versus South SudanCompare categories
All comparisons for South Africa and South Sudan
CategorySouth AfricaSouth SudanResult
AreaHigher wins ↑ · km²1,219,090644,329Win
PopulationHigher wins ↑ · people63,212,38411,483,374Win
Wealth per personHigher wins ↑ · int’l $15,212UnavailableUnavailableSouth Sudan: World Bank has no 2023 figure for South Sudan.
DensityHigher wins ↑ · per km²51.917.8Win
Highest peakHigher wins ↑ · m3,4503,187Win
CoastlineHigher wins ↑ · km2,7980Win
Flag coloursHigher wins ↑ · colours66Tie
Proximity to equatorCloser wins ↓ · degrees30.2° S7.1° NLoss
Round 7 of 10Papua New Guinea versus KyrgyzstanCompare categories
All comparisons for Papua New Guinea and Kyrgyzstan
CategoryPapua New GuineaKyrgyzstanResult
AreaHigher wins ↑ · km²462,840199,951Win
PopulationHigher wins ↑ · people10,389,6357,099,750Win
Wealth per personHigher wins ↑ · int’l $4,6727,304Loss
DensityHigher wins ↑ · per km²22.435.5Loss
Highest peakHigher wins ↑ · m4,5097,439Loss
CoastlineHigher wins ↑ · km5,1520Win
Flag coloursHigher wins ↑ · colours42Win
Proximity to equatorCloser wins ↓ · degrees5.5° S41.7° NWin
Round 8 of 10Suriname versus NigeriaCompare categories
All comparisons for Suriname and Nigeria
CategorySurinameNigeriaResult
AreaHigher wins ↑ · km²163,820923,768Loss
PopulationHigher wins ↑ · people628,886227,882,945Loss
Wealth per personHigher wins ↑ · int’l $21,1288,712Win
DensityHigher wins ↑ · per km²3.8246.7Loss
Highest peakHigher wins ↑ · m1,2302,419Loss
CoastlineHigher wins ↑ · km386853Loss
Flag coloursHigher wins ↑ · colours42Win
Proximity to equatorCloser wins ↓ · degrees4.1° N9.4° NWin
Round 9 of 10Japan versus BhutanCompare categories
All comparisons for Japan and Bhutan
CategoryJapanBhutanResult
AreaHigher wins ↑ · km²377,91538,394Win
PopulationHigher wins ↑ · people124,516,650786,385Win
Wealth per personHigher wins ↑ · int’l $52,72616,229Win
DensityHigher wins ↑ · per km²329.520.5Win
Highest peakHigher wins ↑ · m3,7767,570Loss
CoastlineHigher wins ↑ · km29,7510Win
Flag coloursHigher wins ↑ · colours24Loss
Proximity to equatorCloser wins ↓ · degrees36.7° N27.5° NLoss
Round 10 of 10Denmark versus BrazilCompare categories
All comparisons for Denmark and Brazil
CategoryDenmarkBrazilResult
AreaHigher wins ↑ · km²43,0948,515,770Loss
PopulationHigher wins ↑ · people5,946,952211,140,729Loss
Wealth per personHigher wins ↑ · int’l $77,42521,193Win
DensityHigher wins ↑ · per km²138.024.8Win
Highest peakHigher wins ↑ · m1712,994Loss
CoastlineHigher wins ↑ · km7,3147,491Loss
Flag coloursHigher wins ↑ · colours24Loss
Proximity to equatorCloser wins ↓ · degrees55.9° N12.6° SLoss