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    Soccer> Community> Noah Will>

    Pisa VS Parma

    Italian Serie A
    Analysis More Tips
    Pisa
    Pisa 0
    1 Parma
    Parma
    Further Reading
    • Leng Leng12
      Leng Leng12
      Pisa Pisa are struggling this season. As of the most recent standings, theyve collected just 10 points and sit near the bottom of the table. Recently, their form has been mixed: in the past several matches theyve drawn frequently, which shows some resilience but wins are scarce. Defensively, theyve had some decent spells (some draws and lower-scoring games), but throughout the season scoring has been a challenge: their goals-per-game average is quite low. Parma Calcio 1913 Parma are only marginally better off: they sit just a point above Pisa in the standings (around 11 points), so this matchup has real stakes for both sides. Their recent form is inconsistent: some wins and draws, but also several losses. Away matches have been especially tricky. Their defense has conceded a fair number of goals recently which might open up opportunities for Pisa if they can capitalize.
      AH
      ITA D1 Pisa 0-1 Parma
    • Wissywaxplanet
      Wissywaxplanet Won 10/16
      Pisa and Parma face each other in a big game for both outfits in Italian Serie A Matchday No 14 on Monday evening at Arena Garibaldi. Pisa have been struggling a lot to adjust to elite-class football since they joined Serie A this season. Nevertheless, head coach Alberto Gilardino seems to have found the right formula as his men have drastically improved their performances in the last couple of months. The fact that Pisa have gone on a thread of six subsequent league matches without a loss speaks volumes. Theyve managed their maiden top-flight win in the process.
      O/U
      ITA D1 Pisa 0-1 Parma
    • Overeveryday
      Overeveryday
      Pisa Parma It looks like you're referring to "Pisa" and "Parma" along with "analysisihdp." This sounds like you're referencing IHDP (International Heterogeneous Treatment Effects) analysis. IHDP is often associated with statistical methods used to analyze treatment effects in observational data, particularly in causal inference models. If you're applying this to Pisa and Parma, perhaps you're working with data from these regions (like socio-economic factors, education outcomes, or healthcare differences) and want to compare the treatment effects or outcomes of specific interventions or policies between these two areas. Could you provide more context on how you're using IHDP or what type of data youre analyzing for Pisa and Parma? I can help you dive into causal analysis, interpretation of results, or any specific questions you might have! this the ball over
      O/U
      ITA D1 Pisa 0-1 Parma
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