Statistical Modeling of Silcoon Team Synergy Scores

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Silcoon official artwork — Bug-type Pokémon

Image courtesy of PokeAPI (official artwork)

Statistical Modeling of Silcoon Team Synergy Scores: A Practical Case Study

In data-driven Pokémon analysis, team synergy scores give players a way to quantify how well different Pokémon complement one another beyond raw stats or type chart intuition. This article uses Silcoon, a Bug-type Pokémon with a notably defensive profile, as a concrete example to illustrate how a single species can influence a team’s overall synergy score. Think of Silcoon as a building block in a larger structure: its defensive orientation can unlock opportunities for faster teammates to shine, or for stall-oriented strategies to endure longer in battle. 🛡️✨

Data snapshot

  • Type: Bug
  • HP: 50
  • Attack: 35
  • Defense: 55
  • Special Attack: 25
  • Special Defense: 25
  • Speed: 15
  • Flavor notes: not provided in the dataset

Modeling approach: turning raw stats into a synergy signal

At a high level, the synergy model combines a Pokémon’s intrinsic stats with its potential role on a team. For Silcoon, the standout stat is Defense (55), paired with a solid but not oversized HP pool (50). This suggests a defensive anchor role: a Pokémon that can absorb physical hits while others apply pressure. The relatively low Speed (15) reinforces that Silcoon typically won’t be the fastest pivot, so the model weighs the value of backline protection, buffered by teammates who can handle faster or more offensive threats. 🌊🪨

In practice, a data-driven framework would normalize each stat to a common scale, then compute an overall “role fit” score that reflects how Silcoon’s defense-heavy profile complements other team members. The model also accounts for shared resistances or coverages among teammates, so that Silcoon’s presence reduces exposure to common counterplays without over-concentrating vulnerability to a single threat type. Since we don’t have Silcoon’s abilities or moves in this dataset, the evaluation emphasizes structural contribution—how a defensive presence tends to unlock offensive opportunities for faster allies and how it might enable safer mid-game progression. ⚡

Interpreting Silcoon in a balanced team

  • Defensive anchor — With 55 in Defense and a modest HP pool, Silcoon reads as a wall that can soak up physical hits while teammates pressure opponents with higher output. Its low Speed makes it less suitable for aggressive, fast-striking roles, but the same trait can create valuable opportunities for careful, long-form playstyles. 🛡️
  • Complementary partners — Teams typically benefit from pairing Silcoon with teammates capable of dealing with threats Silcoon can’t handle alone, whether that means staving off fast attackers or punishing opponents that try to switch into bulk. The synergy score improves when a partner covers Silcoon’s coverage gaps, allowing both Pokémon to maximize their strengths together. 🔄
  • Data limitations and future enrichment — The current dataset doesn’t include Silcoon’s abilities or moves, which are essential for a richer, actionable synergy estimate. Adding these elements would let the model capture move synergy, STAB effects, and practical screening for counters. 🔎
  • Evolutive and lore considerations — No evolution or lore notes are present in this dataset. If future data includes evolution stages or regional variants, Silcoon’s growth trajectory could influence its expected contribution to longer-term team performance in dynamic play settings. 🌱

Practical takeaways for builders and battlers

When assembling a team around Silcoon, aim to pair it with faster, high-damage partners who can capitalize on Silcoon’s durability. A well-balanced lineup that leverages Silcoon’s wall-like presence can create windows for teammates to set up, apply pressure, or sweep, especially in formats where stall or mid-game momentum strategies are viable. Remember to weigh coverage: since moves, abilities, and evolution details aren’t in this data snapshot, you’ll want to supplement your model with those elements to refine the synergy score further. 🧪🎯

From a gameplay perspective, Silcoon might excel in roles where its bulk buys time for teammates to secure important mid- to late-game tempo. In a story-driven or casual ladder, that can translate into safely advancing through tougher encounters, giving your more aggressive partners a clearer opening to chain together big hits. The key is balancing Silcoon’s protective presence with teammates that can reliably convert the protection into tangible damage output. 🧭⚔️

Key takeaways

  • Silcoon carries a clear defensive tilt, highlighted by Defense = 55 and Speed = 15.
  • The holistic synergy score benefits from pairing Silcoon with faster teammates who can translate Silcoon’s bulwark into offensive momentum.
  • Data gaps (abilities, moves, evolution) limit precision; filling them will strengthen the model’s predictive power.
  • Future iterations can incorporate role multipliers (tank, stall, support) and adaptive weighting to reflect different playstyles or formats.

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