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Case 5 Group 5

The document presents a data-driven analysis of soccer performance across five teams, highlighting key metrics, strengths, and weaknesses. It identifies top performers and provides strategic recommendations for team improvement and recruitment. The analysis includes team comparisons, positional trends, and elite benchmarks to enhance on-field effectiveness and playoff success.

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vedant.kunder26
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0% found this document useful (0 votes)
7 views10 pages

Case 5 Group 5

The document presents a data-driven analysis of soccer performance across five teams, highlighting key metrics, strengths, and weaknesses. It identifies top performers and provides strategic recommendations for team improvement and recruitment. The analysis includes team comparisons, positional trends, and elite benchmarks to enhance on-field effectiveness and playoff success.

Uploaded by

vedant.kunder26
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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Advanced On-Field

Performance Analysis &


Benchmarking in Soccer
A data-driven approach to identify top performers, set benchmarks, and
generate strategic recommendations for league playoffs.
Presentation Overview
1 2

League-wide Performance Analysis Benchmarking Key Metrics


Examining detailed on-field data for 100 soccer players Establishing performance standards to identify strengths
across 5 teams. and weaknesses.

3 4

Surfacing Top & Undervalued Players Actionable Insights


Highlighting elite performers and hidden gems based on Strategic recommendations for team improvement and
composite scores. future recruitment.
Team Benchmarking: Key Stats Comparison
This table summarises each team's average performance against league-wide benchmarks for key metrics, highlighting distinct
strengths and weaknesses.

Team Avg Avg Pass Avg Avg Yellow Red Strengt Weakne
Goals Assists Accurac Tackles Interce Cards Cards hs sses
y (%) ptions

A 13.75 10.4 82.6 53.8 22.4 2.75 0.3 Goals, Disciplin


Pass e,
Accurac Intercep
y, tions,
Assists Tackles

B 10.1 11.7 80.3 61.6 26.3 4.25 0.7 Intercep Offense,


tions, Disciplin
Consiste e
ncy

C 9.2 13.25 82.8 54.1 25.8 2.35 0.45 Passing, Goal


Intercep scoring,
tions Disciplin
e

D 11.6 8.35 78.4 65.5 32.1 4.60 0.7 Tackling Passing,


Disciplin
e,
Intercep
tions

E 17.7 6.05 85.2 44.1 17.5 1.90 0.1 Goals, Assists


Passing,
Disciplin
e

League 12.47 9.95 81.84 55.79 24.82 3.17 0.45 4 4


Avg

Team E stands out as the scoring and discipline leader (17.7 goals, 0.1 red cards). Team A demonstrates technical solidity but needs
discipline. Teams B and D require significant improvements in attacking output and discipline. Team C excels in creative play but
struggles to convert chances.
Trends and Patterns Across Teams (Per 90 Mins)
Analysing "per 90 minutes" statistics reveals distinct play styles and strategic strengths across the five teams.

Team Goals Assists Key Passes Tackles

A 0.48 0.36 1.66 1.87

B 0.34 0.39 1.68 2.08

C 0.31 0.45 1.91 1.83

D 0.40 0.29 1.48 2.29

E 0.58 0.20 1.28 1.46

League Avg 0.42 0.34 1.60 1.90

Team E shows the highest attacking rate with 0.58 goals per 90 minutes. Team C leads in creative play with 0.45 assists and 1.91 key
passes per 90 minutes, while Team D is the most active defensively, averaging 2.29 tackles per 90 minutes.
Positional Trends (Per 90 Mins)
Understanding positional performance benchmarks is crucial for tailored training and recruitment.

Position Goals/90 Assists/90 Key Passes/90

Forward 0.53 4 1.47

Midfielder 0.33 0.42 1.80

Defender 0.40 4 2.28 tackles

Forwards average 0.53 goals and 1.47 key passes per 90 minutes, highlighting their primary offensive role. Midfielders excel in
playmaking with 0.42 assists and 1.80 key passes per 90 minutes. Defenders are the league9s defensive backbone, averaging 2.28
tackles per 90 minutes.
Top Performers: Composite Scores
Player composite scores, ranging from 0 to 10, were calculated using per-90 metrics and z-score standardisation to reveal overall
effectiveness.

Player ID Team Position Composite Score

4 D Defender 10.00

35 E Forward 9.02

55 E Forward 8.81

56 A Forward 7.94

15 E Forward 7.98

86 A Forward 7.94

The top 10% of players, with composite scores above 7.55, include Player IDs 4, 19, 35, 55, 65, 85, 86, 95, 15, 16, 18, 56, 61. Notably,
this group includes not only stars from Team E (IDs: 35, 55, 65, 85, 95) but also "hidden gems" from Teams A and D, demonstrating
widespread talent.
Elite Benchmarks from Top 10% Performers
Based on the performance of the top 10% of players, we have established the following "elite" per-90 targets. Any player exceeding
these thresholds should be considered elite in that specific metric.

Metric Elite Threshold (per 90)

Goals g 0.59

Assists g 0.45

Key Passes g 1.96

Tackles g 2.28
Team-by-Team Strategic Recommendations
Team Main Strengths Main Weaknesses Key Recommendations

A Passing, Tackles Low goals, high cards Increase attacking drills, playmaking exercises,
dedicated discipline sessions.

B Interceptions, Low attacks, high More proactive tackling training, intensive striker
Consistency cards development, improved discipline enforcement.

C Interceptions, Passing Low scoring, Targeted offensive training to boost goal conversion,
discipline focus on reducing unnecessary cards.

D Tackles, Assists Poor interceptions, Implement team pressing strategies, extensive passing
passing, high cards drills, mindfulness coaching for discipline.

E Games, Discipline, Lower assists Foster more collaborative play in the final third to
Passing, Goals increase assist numbers, maintain current momentum.
General Recommendations for All Teams
Integrate Match Video Set Team-Specific Targets Reinforce Positive
Analysis Establish clear, measurable targets
Behaviours
Use comprehensive match video in the weakest performance Emphasise and reward positive
analysis to visually reinforce categories for each team. Regularly behaviours such as precise
tactical adjustments and highlight review progress against these passing, optimal positioning, and
individual player performance in goals. disciplined play.
real-game scenarios.
Driving Success Through Data-
Driven Insights
This data-driven approach provides every team with a clear view of their
current status, player and style strengths, and practical improvement paths
for both playoff success and long-term recruitment.

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