Standard daily · 29 Sep UTC
Final · Grace period ended Closed at 01:00 UTC
Today’s challenge →
29 September 2026 · UTC

This daily challenge
is closed to new attempts.

Return each day for a new shared draw.

Play today’s challenge →
Global win rate Final 62.5%

5 wins / 8 started attempts

Unfinished attempts count as losses.

Current win streak0 days
Your best streak0 days
Your daily history →
Daily solutions · available after the grace period

The ten shared matchups

Round 1 of 10Kenya versus HaitiCompare categories
All comparisons for Kenya and Haiti
CategoryKenyaHaitiResult
AreaHigher wins ↑ · km²580,36727,750Win
PopulationHigher wins ↑ · people55,339,00311,637,398Win
Wealth per personHigher wins ↑ · int’l $6,3223,265Win
DensityHigher wins ↑ · per km²95.4419.4Loss
Highest peakHigher wins ↑ · m5,1992,674Win
CoastlineHigher wins ↑ · km5361,771Loss
Flag coloursHigher wins ↑ · colours47Loss
Proximity to equatorCloser wins ↓ · degrees0.4° N19.2° NWin
Round 2 of 10Kazakhstan versus AzerbaijanCompare categories
All comparisons for Kazakhstan and Azerbaijan
CategoryKazakhstanAzerbaijanResult
AreaHigher wins ↑ · km²2,724,90086,600Win
PopulationHigher wins ↑ · people20,330,10410,153,958Win
Wealth per personHigher wins ↑ · int’l $38,54723,671Win
DensityHigher wins ↑ · per km²7.5117.3Loss
Highest peakHigher wins ↑ · m7,0104,466Win
CoastlineHigher wins ↑ · km00Tie
Flag coloursHigher wins ↑ · colours24Loss
Proximity to equatorCloser wins ↓ · degrees48.5° N40.5° NLoss
Round 3 of 10Guinea-Bissau versus CameroonCompare categories
All comparisons for Guinea-Bissau and Cameroon
CategoryGuinea-BissauCameroonResult
AreaHigher wins ↑ · km²36,125475,440Loss
PopulationHigher wins ↑ · people2,153,33928,372,687Loss
Wealth per personHigher wins ↑ · int’l $2,9565,415Loss
DensityHigher wins ↑ · per km²59.659.7Loss
Highest peakHigher wins ↑ · m2774,045Loss
CoastlineHigher wins ↑ · km350402Loss
Flag coloursHigher wins ↑ · colours43Win
Proximity to equatorCloser wins ↓ · degrees12.1° N4.5° NLoss
Round 4 of 10Italy versus PeruCompare categories
All comparisons for Italy and Peru
CategoryItalyPeruResult
AreaHigher wins ↑ · km²301,3401,285,216Loss
PopulationHigher wins ↑ · people58,984,21633,845,617Win
Wealth per personHigher wins ↑ · int’l $60,35017,042Win
DensityHigher wins ↑ · per km²195.726.3Win
Highest peakHigher wins ↑ · m4,7486,746Loss
CoastlineHigher wins ↑ · km7,6002,414Win
Flag coloursHigher wins ↑ · colours32Win
Proximity to equatorCloser wins ↓ · degrees45.1° N13.0° SLoss
Round 5 of 10Russia versus GambiaCompare categories
All comparisons for Russia and Gambia
CategoryRussiaGambiaResult
AreaHigher wins ↑ · km²17,098,24211,300Win
PopulationHigher wins ↑ · people143,826,1302,697,845Win
Wealth per personHigher wins ↑ · int’l $44,2993,292Win
DensityHigher wins ↑ · per km²8.4238.7Loss
Highest peakHigher wins ↑ · m5,64263Win
CoastlineHigher wins ↑ · km37,65380Win
Flag coloursHigher wins ↑ · colours34Loss
Proximity to equatorCloser wins ↓ · degrees63.6° N13.6° NLoss
Round 6 of 10Cuba versus YemenCompare categories
All comparisons for Cuba and Yemen
CategoryCubaYemenResult
AreaHigher wins ↑ · km²110,860527,968Loss
PopulationHigher wins ↑ · people11,019,93139,390,799Loss
Wealth per personHigher wins ↑ · int’l $UnavailableUnavailableUnavailableCuba: World Bank has no 2023 figure for Cuba.. Yemen: World Bank has no 2023 figure for Yemen.
DensityHigher wins ↑ · per km²99.474.6Win
Highest peakHigher wins ↑ · m1,9743,666Loss
CoastlineHigher wins ↑ · km3,7351,906Win
Flag coloursHigher wins ↑ · colours33Tie
Proximity to equatorCloser wins ↓ · degrees20.6° N15.3° NLoss
Round 7 of 10Djibouti versus PakistanCompare categories
All comparisons for Djibouti and Pakistan
CategoryDjiboutiPakistanResult
AreaHigher wins ↑ · km²23,200796,095Loss
PopulationHigher wins ↑ · people1,152,944247,504,495Loss
Wealth per personHigher wins ↑ · int’l $7,2326,019Win
DensityHigher wins ↑ · per km²49.7310.9Loss
Highest peakHigher wins ↑ · m2,0218,611Loss
CoastlineHigher wins ↑ · km3141,046Loss
Flag coloursHigher wins ↑ · colours42Win
Proximity to equatorCloser wins ↓ · degrees11.4° N27.8° NWin
Round 8 of 10Syria versus ChileCompare categories
All comparisons for Syria and Chile
CategorySyriaChileResult
AreaHigher wins ↑ · km²187,437756,102Loss
PopulationHigher wins ↑ · people23,594,62319,658,835Win
Wealth per personHigher wins ↑ · int’l $Unavailable33,174UnavailableSyria: World Bank has no 2023 figure for Syria.
DensityHigher wins ↑ · per km²125.926.0Win
Highest peakHigher wins ↑ · m2,8146,893Loss
CoastlineHigher wins ↑ · km1936,435Loss
Flag coloursHigher wins ↑ · colours43Win
Proximity to equatorCloser wins ↓ · degrees35.0° N23.4° SLoss
Round 9 of 10Maldives versus NetherlandsCompare categories
All comparisons for Maldives and Netherlands
CategoryMaldivesNetherlandsResult
AreaHigher wins ↑ · km²29841,543Loss
PopulationHigher wins ↑ · people525,99417,877,117Loss
Wealth per personHigher wins ↑ · int’l $24,80780,392Loss
DensityHigher wins ↑ · per km²1,765.1430.3Win
Highest peakHigher wins ↑ · m5322Loss
CoastlineHigher wins ↑ · km644451Win
Flag coloursHigher wins ↑ · colours33Tie
Proximity to equatorCloser wins ↓ · degrees3.3° N52.2° NWin
Round 10 of 10Singapore versus BangladeshCompare categories
All comparisons for Singapore and Bangladesh
CategorySingaporeBangladeshResult
AreaHigher wins ↑ · km²719148,460Loss
PopulationHigher wins ↑ · people5,917,648171,466,990Loss
Wealth per personHigher wins ↑ · int’l $144,7289,155Win
DensityHigher wins ↑ · per km²8,230.41,155.0Win
Highest peakHigher wins ↑ · m1661,060Loss
CoastlineHigher wins ↑ · km193580Loss
Flag coloursHigher wins ↑ · colours22Tie
Proximity to equatorCloser wins ↓ · degrees1.4° N24.3° NWin