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#footballdata — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #footballdata, aggregated by home.social.

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  1. Analysis of the xG (expected goals) created and conceded per game for each R16 team, along with Germany and the Netherlands (R32).

    The statistics suggest that 🇪🇸 Spain's World Cup victory was driven primarily by defensive dominance rather than overwhelming attacking output. Clearly, they had the best balance between attacking output and defensive solidity (both efficient and defensive) throughout the tournament. They were technically the most complete team and thoroughly deserved to be crowned World Champions.🌎🥇🏆

    • Lowest xG conceded in the tournament: 0.30 per match.

    • Highest xG difference among all semi-finalists: +1.65.

    • Held both 🇫🇷 France (0.31 xG) and 🇦🇷 Argentina (0.22 xG), the other finalists and one of the strongest attacking teams, to almost no chance in the knockout rounds.

    While 🇫🇷 France were the most prolific attacking side and 🇧🇷 Brazil (eliminated in R16) led the tournament in xG created, 🇪🇸 La Roja consistently controlled matches at both ends of the pitch. Their ability to suppress opponents' chance creation was the defining statistical feature of the 2026 FIFA World Cup.

    #xG #ExpectedGoals #FootballAnalytics #FootballStats #SoccerAnalytics #FIFAWorldCup #WorldCup2026 #Spain #LaRoja #SpainNationalTeam #WorldChampions #Football #Soccer #MatchAnalysis #DataAnalysis #SportsAnalytics #TacticalAnalysis #FootballTactics #KnockoutStage #DefensiveMasterclass #DefensiveSolidity #EliteDefense #AttackVsDefense #SpainFootball #France #Argentina #Brazil #WorldCupStats #FootballData #SoccerStats

  2. Charles Reep, football data pioneer.

    #footballdata #reep #brentford

    Today on It Was What It Was, for Patreon members.

  3. 🚀 Engine Update @ playaiodds.com

    After the latest matchday, the prediction engine behind playaiodds.com received a “reality check” upgrade.

    🛡️ More realistic probabilities — less noise, fewer overhyped underdogs
    🧩 Better alignment between markets — tickets make more sense as a whole
    📉📈 Match urgency awareness — pressure and motivation now matter
    💰 More grounded EV picks — value hunting without lottery odds

    Update is live on playaiodds.com ⚙️⚽

    #FootballData #SportsAnalytics #AI #Transparency

  4. ⚽ Football analysis, not hype.
    Real data, probabilities, margins & risk — match by match.
    No tips. Just systems and understanding. #FootballData #BettingMath #RiskManagement

  5. Risposta esatta: Lautaro Martinez con un tiro di testa a partita.

    Ve lo aspettavate? Io, sinceramente, no. Ed era proprio questo di cui parlavo: i #dati fanno apparire cose invisibili anche dopo numerose partite viste.

    #calcio #unocalcio #seriea #LautaroMartinez #footballdata #footballdatascience

  6. I dati nel #calcio rivelano sempre storie che ad occhio nudo non avresti mai notato.

    A tal proposito vi lascio un piccolo quiz:

    “secondo voi quale di questi giocatori ha effettuato più tiri di testa in 90 minuti nella scorsa stagione?”

    #poll #UnoSondaggio #UnoQuiz #footballdatascience #footballdata #UnoCalcio #seriea

  7. Neu im Blog:
    "Ein irrationales Misstrauen"

    Die Nutzung von Datenmodellen verspricht Fußballclubs Vorteile auf dem Transfermarkt. Trotzdem werden sie in Deutschland von nur wenigen Clubs genutzt. Warum?
    Ein Longread von Tim.

    millernton.de/2024/10/22/ein-i
    #FCSP #FootballData

  8. Una delle rivelazioni dello scorso anno che, quest'anno, stava deludendo.

    Nelle ultime 2 partite, Armand #Lauriente ha segnato 3 gol, ma rimane ben distante dalle prestazioni del campionato di #SerieA 2022-23.

    Continuerà il trend positivo in queste ultime partite contribuendo alla salvezza del #Sassuolo?

    #UnoCalcio
    #calcio #football #footballdata #dataviz

  9. È da tempo che ho scritto un piccolo articolo su #noblogo, ma poi con il passare del tempo era finito dritto nel dimenticatoio.

    Qualche mese fa, ero convinto di poter iniziare un piccolo progetto di mini-divulgazione sul tema della #FootballData Science, o più semplicemente sulla #DataAnalysis applicata al #calcio.

    Poi però, come ben sapete, la vita ti presenta delle sterzate improvvise, dove non hai tempo di ragionare. Lì finì tutto...la mia mente si dedicò ad altro.

    Oggi però.. (1/2) 👇

  10. ⚠️ AGGIORNAMENTO ⚠️

    Secondo i dati #opta via #fbres i passaggi completati di #Reijnders sono 29/30 quindi → 96.67%

    Insomma, neanche il 100% è vero.
    Ottimo.

    #dataanalysis #dataviz #footballdata #seriea #Reijnders #bologna #BolognaMilan

  11. Tutorial su come NON fare analisi su un calciatore in una singola partita di #calcio.

    Passo 1 - specifica le percentuali dei passaggi riusciti senza indicare quanti sono i totali.

    Passo 2 - metti un #heatmap a caso che non ho capito cosa diamine dovrebbe indicare tranne il fatto di come si sia mosso in campo. Quindi, ok: abbiamo scoperto che si muove.

    #dataanalysis #dataviz #footballdata #seriea #Reijnders #bologna #BolognaMilan

  12. For those interested in getting into, or progressing in, football analytics I've put together this v1 of what I hope will be a future weekly newsletter

    getgoalsideanalytics.com/footb

    Please give it a look and sign up if you feel like it (note: the sign-up button doesn't currently respond, but it _does_ register)

    Any feedback welcome

    #FootballAnalytics #SoccerAnalytics #Ghost #FootballData #SoccerData

  13. Ok, my favourite #data people are here. Where are my favourite #football #soccer (😢) people? Even better if I can find my most favourite #footballdata #footballanalytics people? #xG

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