This article offers a concise, evidence-based answer to the question who was Athletic Club's top performer in the 2024/25 season. It compares key contenders using official season dashboards and independent benchmarks and explains how different metrics produce different answers. The goal is practical: give fans and forecasters the tools to translate player outputs into match-level adjustments without relying on anecdotes. All comparisons use published 2024/25 season data so conclusions are repeatable and verifiable.

The best player depends on your metric: creativity, goals or match-saving goalkeeping.

Nico Williams leads club creativity measures, while Gorka Guruzeta is among the top scorers for 2024/25.

Unai Simón's clean sheets and saves have measurable influence on points preserved.

Short answer and the top contenders

athletic bilbao prediction: One-line verdict

Quick verdict, short form: for the 2024/25 season the evidence points to a three-way shortlist rather than a single undisputed choice, with Nico Williams standing out as the club's main creative outlet, Gorka Guruzeta as a primary goal scorer, and Unai Simán as the goalkeeper most visibly affecting match outcomes; which of these you call the "best" depends on whether you value chance creation, finishing, or match-saving goalkeeping for your athletic bilbao prediction work.

This shortlist is grounded in official season outputs such as goals, assists, minutes and defensive indicators recorded in club dashboards and independent match data, which together make the comparison transparent and repeatable FBref Athletic Club stats.

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If you want to apply these conclusions to forecasting or challenge-style prediction work, read the player profiles below and then use the practical guidance sections to adjust your model inputs.

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Who made the shortlist and why, briefly: Nico Williams earned a place for his creation and assist totals inside the club in 2024/25; Gorka Guruzeta appears among the leading scorers in club tallies; Unai Simón shows clean sheet and shot-stopping indicators that tie directly to points earned. Each name on this list is supported by season-level outputs from club and league sources rather than anecdote. See our evaluation methods at Funded Plays.

Why this question matters for fans and predictors

Knowing which Athletic Club player has the biggest single-season influence matters because different player types change what to expect from the team on match day. A creative wide player shifts probabilities toward more chances created from wide attacks, a reliable finisher concentrates goal probability on set pieces or targeted service, and a high-performing goalkeeper changes expected points saved when the opponent outshoots Athletic.

For people working predictions or previews, this translates into model adjustments: increase expected goal sources from the wing if the creator is fit and starting, or discount attacking probability if the primary striker is absent. Those adjustments are grounded in team continuity and recent trophies that set baseline expectations, including Athletic's Copa del Rey title in 2023/24 which helps explain why certain core leaders carried influence into the 2024/25 campaign.

Using historical context, like the club's cup success, helps forecasters avoid overreacting to short-term swings and preserves the right baseline for probability estimates RFEF Copa del Rey report.

How we define 'best player' here: metrics and method

To keep the comparison objective we use a set of measurable metrics: goals and assists for attacking output, minutes and starts for availability, chance creation and expected assists for creativity, clean sheets and saves for goalkeeping value, and defensive actions for outfield defensive contributions. Those metrics let us compare players by role while still allowing a common conversation about match impact.

Primary season data come from match and squad dashboards maintained by league and statistics providers, with FBref and LaLiga serving as the core season sources and WhoScored and Transfermarkt used for corroboration and role context; these sources provide the per-player season tallies that form the basis of the shortlist LaLiga Athletic Club squad and statistics.

Who is the best player in Athletic Bilbao?

For 2024/25 there is no single definitive best; Nico Williams, Gorka Guruzeta and Unai Simón each lead in different metrics and the right choice depends on whether you value chance creation, finishing or goalkeeping impact.

There are important limits to single-season comparisons. Raw totals can hide per-minute efficiency differences and role responsibilities. A winger's assist count should be read alongside minutes and expected assists, and a goalkeeper's save totals should be paired with measures like saves above expectation to avoid misleading conclusions. Because of these limits the article balances raw outputs with context and normalized rates where available.

Profile: Nico Williams - creative wing threat

Nico Williams emerges in 2024/25 as one of Athletic's leading creators: his assist totals and chance-creation metrics place him among the club's top outlets for creating opportunities, particularly from wide positions where he receives high minutes and consistent starts. That pattern is visible in the club-level production tables and match-by-match creation numbers FBref Athletic Club stats.

Action photograph of a winger delivering a driven cross into the penalty area creating a high tempo chance minimalist stadium background in Funded Plays palette athletic bilbao prediction

How that translates to match outcomes: a winger who consistently ranks high in chance creation increases the team's expected goal threat, especially against opponents who defend centrally and concede width. For match previews this means listings that weight wing service and dribble chances more heavily when Nico Williams is in the lineup. Treat his creative outputs as leading indicators for increased shot creation rather than automatic goal spikes, since finishing still depends on the servicing and conversion by forwards and midfielders.

There are comparison caveats. Wingers naturally post higher creation figures than central forwards but may lag in pure goal totals. To compare creativity versus finishing you must normalize for minutes and consider expected assists alongside raw assists to judge how much direct involvement a player has in genuine chances; WhoScored and FBref provide the complementary metrics needed to make that adjustment WhoScored Athletic team stats.

Profile: Gorka Guruzeta - primary goal output

Gorka Guruzeta stands out in the 2024/25 scoring tables as one of Athletic's main goal sources for the season, with seasonal tallies that place him near the top of the club's goal leaders. Those goal totals, combined with minutes and role information, explain why he is a clear candidate when valuing finishing in match predictions FBref Athletic Club stats.

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What his finishing brings to results is straightforward: a dependable goal scorer changes a coach's risk calculus and a forecaster's expected goals distribution. If a team has a forward who reliably converts limited chances, then low-variance match outcomes that feature few chances can still tilt in Athletic's favor. For prediction contexts, Guruzeta's presence raises the implied conversion rate and makes narrow victories more likely when his minutes are secure.

Caveat and role context: goal totals alone need to be weighted by minutes played and conversion rate. Transfermarkt's performance tables and FBref's minute logs help place goal totals in the right context so you know whether a striker's tally is a function of playing time, high conversion, or both Transfermarkt Athletic collection.

Profile: Unai Simón - goalkeeper and match-defining saves

Unai Simón's 2024/25 performance shows measures typical of a goalkeeper who impacts results via clean sheets and high-leverage saves. League dashboards and club statistical pages report his clean sheet totals and shot-stopping indicators for the season, and those outputs are closely tied to points preserved across matches LaLiga Athletic Club squad and statistics. The club's official squad page also provides roster context on the club site.

Goalkeepers create value differently than attackers: a single high-difficulty save can convert a likely loss into a draw and preserve points that matter in league position. For forecasters that means Simón's form should be a factor in scenarios where the expected shot volume is high, because a goalkeeper performing above expectation reduces downside risk and increases the chance of an underdog result holding.

Comparing a goalkeeper to an attacker therefore requires thinking in points terms rather than raw goals or assists. Clean sheets and saves above expectation are useful ways to translate shot-stopping into an estimated points impact for season-level evaluation; those measures provide the bridge between keepers and field players in cross-role comparisons FBref Athletic Club stats.

Role players, continuity, and squad context

Beyond the three headline names there are supporting players whose roles and continuity shape individual evaluations: the Williams brothers as a group and several core leaders maintained influence from the prior Copa del Rey success into 2024/25. That continuity affects how much single-player form translates into team outcomes and prediction adjustments.

Squad balance matters because a creative player needs finishing teammates and a goalkeeper needs a defensive structure to post low expected goals against. The club-level trophy backdrop provides evidence that the group collectively contributed to results and that highlight players did so inside a stable tactical framework Opta Analyst LaLiga Team of the Season.

Quick player data checks for match previews

Goals
Assists
Minutes
Shots on target
Clean sheets

Compare per-90 numbers first

That checklist-style view helps forecasters and fans ask the right questions before naming a single 'best' player: has the player been available, are their per-90 numbers strong, and do they create value that matters in the expected match template? For checks and commentary see the Funded Plays blog.

Comparing offensive production: goals, assists and expected metrics

A practical comparison of attacking outputs begins with club leaders in goals and assists as reported in the season dashboards, then refines the picture with expected goals and expected assists to identify which totals reflect sustainable performance versus luck or finishing variance. FBref's season tables are the starting point for identifying leaders and spotting disparities between raw totals and underlying expected metrics FBref Athletic Club stats, and the New York Times team stats offer a complementary view NYTimes team stats.

Expected metrics change the story when raw totals are misleading. A player with high goals but low expected goals may be outperforming their underlying chance quality, which increases the likelihood of regression. Conversely a creator with modest assist totals but strong expected assists is often creating high-quality chances that have simply not yet been finished; that distinction matters when setting probabilities for near-term match outcomes and athletic bilbao prediction models.

Normalization by minutes is essential. A substitute forward with a strong goals-per-90 rate may be more valuable per minute than a starter with more raw goals, so include per-90 comparisons and minutes-played adjustments before using raw totals in any ranking or predictive weightings. WhoScored and Transfermarkt provide the minutes context needed to perform that normalization WhoScored Athletic team stats.

Defensive metrics and goalkeeping impact on team results

Defensive actions tracked across the season include tackles, interceptions, clearances and blocks, and they help quantify how much work defenders and midfielders do to limit opponent chances. Those actions are team dependent but still give a relative view of who contributes most to limiting expected goals conceded, as seen in club defensive dashboards FBref Athletic Club stats.

Goalkeeper metrics such as clean sheets and saves above expectation provide a bridge to season points. A goalkeeper who outperforms expected saves reduces the opponent's realized goals and thereby increases points earned relative to a baseline. LaLiga and FBref repositories enable modelers to quantify that difference and to include it in match forecasts where shot volume is a key variable LaLiga Athletic Club squad and statistics.

How to use this comparison when making match predictions

Translate player impact into forecast adjustments by weighting expected goal sources differently depending on who is available and in form. If a creative winger with high chance creation starts, raise the expected shot creation from wide areas and increase the probability of assisted shots; if the primary striker is missing lower the conversion assumption and redistribute goal probability across midfielders.

When the goalkeeper is performing above expectation lower downside risk in matches where the opponent accumulates shots, especially from non-penalty open play. Combining the attacker, creator and goalkeeper adjustments gives a more nuanced forecast than relying on team-level averages alone, and helps avoid overconfidence in single-match predictions.

Practical scenario use: for a prediction where opponent strength suppresses shot volume, prioritize a reliable finisher; where opponent style invites crosses and wide penetration prioritize creators. Opta Analyst benchmarking can help you judge whether Athletic's top performers rank competitively versus league peers when calibrating those adjustments Opta Analyst LaLiga Team of the Season.

Common mistakes and evaluation pitfalls

Frequent errors include overvaluing raw totals without normalizing for minutes and role, treating a hot streak as a permanent trait, and mixing across roles without a clear points-based translation. Avoid equating a high seasonal total with per-minute superiority and instead check per-90 and expected metrics.

Other pitfalls are recency bias and small-sample distortions. A few bright games can change perceptions quickly, so make sure your evaluation window is large enough to capture consistent contribution. Finally, do not conflate team success with individual superiority without checking the underlying contributions each player made to those team outcomes.

Practical examples and short scenarios

Scenario 1, creators matter: against a mid-table side that defends centrally, Nico Williams' ability to create chances from wide areas increases Athletic's expected goals more than usual. In that case an attack-weighted forecast that emphasizes wing service improves predictive accuracy.

Scenario 2, finisher matters: in a low-chance away match where Athletic is likely to see few clear chances, Gorka Guruzeta's conversion ability makes a one-goal victory a realistic outcome and should be reflected by slightly higher win probability than the team average.

Scenario 3, goalkeeper matters: when facing a high-shot opponent, Unai Simón's shot-stopping reduces downside risk and increases the chance that Athletic secures a draw or scrape a narrow win. In compact models this effect can be approximated by adjusting expected goals conceded based on saves above expectation and recent clean sheet form FBref Athletic Club stats.

Conclusion and how to keep this ranking up to date

Final balanced take: for 2024/25 the evidence supports a shortlist rather than a single, universal "best" player. Nico Williams, Gorka Guruzeta and Unai Simón each make a persuasive claim depending on whether you prioritize creativity, finishing or goalkeeping impact. The shortlist is grounded in season-level outputs, and the right choice for any given forecast depends on the match template and player availability.

Where to check updates and refresh the ranking: use the club and league dashboards on FBref and LaLiga for updated season numbers, and consult independent benchmarks like Opta Analyst for league context and relative positioning. Also check the Funded Plays homepage and team stats on ESPN. Re-evaluate the ranking as 2025/26 data becomes available so your athletic bilbao prediction inputs stay current FBref Athletic Club stats.

How did you decide which players to shortlist?

The shortlist is based on 2024/25 measurable outputs such as goals, assists, chance creation, minutes and goalkeeper clean sheets reported by official dashboards and independent data providers.

Should I always favor the top scorer when making predictions?

Not always; choose the scorer when matches are likely low on chances, but weigh creators and goalkeeper form when opponent style or shot volume changes the match template.

Where can I find updated player stats for future revisions?

Check official club and league dashboards like FBref and LaLiga and consult independent benchmarks for league context when refreshing evaluations.

Use the player profiles and the practical guidance in this article as a starting point for your own match previews and model adjustments. Re-check the primary sources when new 2025/26 data arrives to keep forecasts aligned with current form. If you apply these ideas to challenge-style prediction platforms, remain disciplined about sample size and responsible participation.