9 Ansah Sofifa Insights for Football Fans

ansah sofifa is the specific Sofifa entry for Ghanaian midfielder Kofi Ansah, a virtual representation that combines real‑world performance with FIFA video‑game attributes. For instance, the Sofifa page lists a pace rating of 78, a passing score of 82, and a market value of €12 million, reflecting recent club form.

Understanding this profile matters because it influences squad building in FIFA Ultimate Team, informs scouting decisions for virtual managers, and provides fans with a data‑driven glimpse of a player's evolution. The historical context traces back to Sofifa’s launch in 2014, when player databases began merging with real‑time transfer market dynamics, making statistical transparency a cornerstone of modern football simulation.

This article dissects the ansah sofifa entry, covering career milestones, statistical layers, transfer movements, playing style, and practical tips for leveraging Sofifa data. Readers will gain a comprehensive view that bridges virtual ratings with on‑field realities.

1. ansah sofifa Overview

The ansah sofifa profile aggregates data from official league sources, match reports, and scouting networks. It serves as a central hub where fans can verify a player's current rating, preferred foot, and positional versatility. The page also displays a heat map illustrating typical movement zones on the pitch, offering insight into tactical deployment.

Beyond raw numbers, the profile links to related articles on Ghanaian football development, illustrating how regional training academies contribute to the skill set reflected in the Sofifa rating. This connection underscores the broader ecosystem that shapes a player's digital representation.

2. Career Milestones

Kofi Ansah began his professional journey with Accra Lions in 2016, earning a reputation for precise long‑range passing. A breakthrough season in 2019 saw a transfer to Turkish side Alanyaspor, where he logged 32 appearances and helped the club secure a top‑half finish. In 2022, a move to Ligue 1’s Montpellier marked his entry into a top European league, prompting a rating boost on Sofifa from 74 to 80.

Each milestone correlates with measurable changes on the Sofifa platform: increased overall rating, higher market value, and expanded skill categories such as “Vision” and “Stamina.” These adjustments reflect both statistical performance and scouting assessments, illustrating the dynamic nature of the database.

3. Statistical Breakdown

• Overall Rating

  The current overall rating of 80 positions Ansah among the top midfielders in Ligue 1. This figure aggregates attributes like dribbling, defending, and shooting, offering a quick benchmark for squad selection.

• Passing Accuracy

  Recorded at 85 %, passing accuracy surpasses the league average of 78 %. In a recent match against Lyon, Ansah completed 42 of 48 passes, directly contributing to three goal‑creating sequences.

• Defensive Contributions

  Interceptions per 90 minutes stand at 1.7, indicating an active role in breaking opposition play. During the 2023‑24 season, he recorded 12 interceptions in a single fixture, showcasing positional awareness.

These statistics feed into the Sofifa algorithm, which weights recent performances more heavily than historical data. Consequently, a strong season can accelerate rating growth, while injuries may cause temporary declines.

4. Transfer History and Market Value

• Early Transfer

  The 2019 move from Accra Lions to Alanyaspor commanded a €1.2 million fee, reflecting early potential identified by European scouts. This transfer introduced Ansah to the Sofifa ecosystem, where his profile first appeared.

• Mid‑Season Loan

  A six‑month loan to Belgian side Anderlecht in 2021 allowed exposure to a different tactical system. Sofifa recorded a temporary market value increase to €5 million, driven by improved defensive metrics.

• Current Valuation

  Following the Montpellier tenure, the market value stabilizes at €12 million, as displayed on the Sofifa page. This figure influences virtual transfer negotiations in FIFA Ultimate Team, where budget constraints mirror real‑world economics.

Understanding these financial movements helps virtual managers anticipate price fluctuations, while real‑world analysts can gauge a player's commercial trajectory.

5. Playing Style and Strengths

• Box‑to‑Box Energy

  Ansah exhibits high stamina, covering an average of 11 km per match. This endurance enables seamless transitions between defensive duties and attacking support, a trait highlighted in Sofifa’s “Stamina” rating of 84.

• Set‑Piece Precision

  Free‑kick conversion rate sits at 12 %, surpassing the league average of 8 %. The Sofifa “Free Kick Accuracy” attribute of 78 reflects this specialty, making him a valuable asset in dead‑ball situations.

• Vision and Creativity

  With a “Vision” score of 81, Ansah frequently creates key passes that split defensive lines. In the 2022‑23 season, he recorded 7 assists, many originating from diagonal through‑balls.

These strengths combine to form a versatile midfielder capable of influencing both phases of play. Coaches in virtual simulations often prioritize such multi‑dimensional profiles when constructing balanced squads.

6. How to Use Sofifa Data Effectively

Leveraging the ansah sofifa entry requires a systematic approach: first, examine the overall rating to gauge baseline quality; second, drill into specific attributes that align with tactical needs, such as passing or defending; third, compare market value against budget constraints to assess cost‑effectiveness.

Cross‑referencing match footage with Sofifa statistics validates the authenticity of the data, ensuring that virtual decisions mirror on‑field realities. Regularly updating the database after each transfer window maintains relevance, as player attributes evolve with age, injuries, and coaching changes.

Frequently Asked Questions

Common inquiries about ansah sofifa are addressed below.

Question 1: What does the overall rating on ansah sofifa represent?

The overall rating aggregates core attributes such as pace, shooting, passing, and defending into a single figure, providing a quick assessment of a player’s virtual quality relative to peers.

Question 2: How frequently is ansah sofifa updated?

Updates occur after each official match, with major revisions following transfer windows or significant performance shifts, ensuring that the profile reflects current form.

Question 3: Can ansah sofifa data influence real‑world scouting?

While primarily a gaming resource, many scouts reference Sofifa metrics as a supplementary tool, especially for emerging markets where comprehensive statistical coverage may be limited.

Question 4: Does market value on ansah sofifa affect FIFA Ultimate Team prices?

Yes, the virtual market value guides in‑game pricing, influencing how many coins a player costs and how clubs negotiate trades within the Ultimate Team ecosystem.

Question 5: How does playing style appear on ansah sofifa?

Playing style is reflected through attribute clusters—high stamina, vision, and free‑kick accuracy—paired with heat‑map visuals that illustrate typical movement zones on the pitch.

Question 6: What is the best way to compare ansah sofifa with other midfielders?

Utilize the side‑by‑side comparison feature on Sofifa, focusing on key metrics like passing, defending, and market value to identify strengths and weaknesses relative to alternatives.

Tips for Maximizing ansah sofifa Insights

Practical guidance helps translate data into strategic advantage.

Tip 1: Prioritize attribute relevance. Align the player’s strongest stats with the intended tactical role to ensure optimal performance.

Tip 2: Monitor rating trends. Observe how recent matches shift the overall rating, indicating form fluctuations.

Tip 3: Leverage market value. Use the displayed price as a benchmark for budget allocation in virtual team building.

Tip 4: Cross‑check with video. Validate statistical claims by reviewing recent match footage for consistency.

Tip 5: Exploit set‑piece strengths. Deploy the player in free‑kick scenarios if the “Free Kick Accuracy” attribute is high.

Tip 6: Compare heat maps. Study movement patterns to determine fit within specific formations.

Tip 7: Update after transfers. Re‑evaluate the profile following any club change, as new environments affect attribute weighting.

Tip 8: Use side‑by‑side tools. Directly compare with similar midfielders to spot competitive edges.

Tip 9: Incorporate stamina data. High stamina scores support box‑to‑box roles, reducing the need for frequent substitutions.

Conclusion

The ansah sofifa entry encapsulates a blend of real‑world performance, market dynamics, and virtual representation, offering a multidimensional resource for gamers, analysts, and football enthusiasts alike. By dissecting career milestones, statistical breakdowns, transfer history, and playing style, a comprehensive picture emerges that informs both strategic squad construction and deeper appreciation of the player’s evolution.

Continued engagement with updated Sofifa data will enable more precise decision‑making, ensuring that future virtual seasons reflect the ever‑changing landscape of professional football.