About
My Approach to Player Value

About
My Approach to Player Value

I'm Mitch Leblanc. Over the last four years, I’ve worked in finance and sales strategy, building risk models, forecasting tools, and performance dashboards at places like Silicon Valley Bank, Front, and Adobe. I’ve underwritten everything from early-stage startup loans to $100 million syndicated credit facilities, and I built reporting and presented directly to executives on North American sales goals. Whether it was cash flow analysis, stress-testing annual plans, or finding ways to reduce operational costs, the core theme was always the same: break down data and help people make better decisions with what we have.


I started applying that mindset to sports. I built CashScore+, a salary-adjusted player value model that looks at impact through the lens of cap efficiency. It blends per-60 stats with usage, role, and salary benchmarks to understand who’s actually delivering value. The methodology borrows from WAR-style metrics in the NBA and NFL, and while I initially applied it to hockey, the project tackles the same questions every front office faces: where are we spending our money, and is it money well spent?

I'm Mitch Leblanc. Over the last four years, I’ve worked in finance and sales strategy, building risk models, forecasting tools, and performance dashboards at places like Silicon Valley Bank, Front, and Adobe. I’ve underwritten everything from early-stage startup loans to $100 million syndicated credit facilities, and I built reporting and presented directly to executives on North American sales goals. Whether it was cash flow analysis, stress-testing annual plans, or finding ways to reduce operational costs, the core theme was always the same: break down data and help people make better decisions with what we have.


I started applying that mindset to sports. I built CashScore+, a salary-adjusted player value model that looks at impact through the lens of cap efficiency. It blends per-60 stats with usage, role, and salary benchmarks to understand who’s actually delivering value. The methodology borrows from WAR-style metrics in the NBA and NFL, and while I initially applied it to hockey, the project tackles the same questions every front office faces: where are we spending our money, and is it money well spent?

Work Experience

Work Experience

Senior Associate, ADP

Silicon Valley Bank 2023-2025

●  Developed comprehensive financial models to forecast and evaluate credit worthiness of banking prospects

●  Monitored performance metrics of corporate banking clients, ensuring loan portfolio health and compliance

●  Conducted detailed financial analysis for underwriting, highlighting risk areas through research and analysis

Sales Operations & Strategy Analyst

Front 2022-2023

●  Spearheaded new inbound sales operations process, resulting in the company's best quarter to date

●  Created and maintained executive-level dashboards, regularly reporting on global new business sales KPIs

●  Managed vendor relationships, reducing costs through strategic leverage of existing partnerships

Sales Operations & Strategy Analyst

Front 2022-2023

●  Spearheaded new inbound sales operations process, resulting in the company's best quarter to date

●  Created and maintained executive-level dashboards, regularly reporting on global new business sales KPIs

●  Managed vendor relationships, reducing costs through strategic leverage of existing partnerships

Customer Success Associate

Adobe 2021-2022

●  Designed localized customer communication programs, significantly improving engagement in Latin America

●  Established CRM account data hygiene best practices and developed tracking dashboards

●  Launched automated digital communication programs, generating substantial operational value savings


Sales Operations Intern

Adobe 2020

●  Supported customer solutions strategy & operations team in planning, forecasting, and pipeline management

●  Delivered Power BI reporting to analyze opportunity progression for sales leadership

●  Standardized reporting initiatives, improving efficiency across the services organization

Global Sales & Marketing Operations Intern

NetApp 2019

●  Led creation of sales-generated lead management and reporting processes across the Americas

●  Developed Tableau dashboards for marketing leaders to analyze sales SLA adherence

●  Analyzed and reported on marketing funnel performance to sales leadership


Marketing Operations Intern

NetApp 2018

●  Prepared and presented global marketing performance reports to senior leadership

●  Constructed a master reporting dashboard, facilitating successful funnel management

●  Enhanced sales lead scoring model, creating an efficient prioritization tool for sales leads

Entrepreneurship Intern

NC State University e-Clinic 2017

●  Selected to join the e-Clinic university student team as a high school student

●  Created marketing assets and branding strategies for local businesses

●  Managed e-Clinic website operations, updates, and maintenance

Manager

Chick-fil-A 2015-2017

●  Managed 10+ team members in front counter operations, leading a close-knit team

●  Analyzed operational data including labor expenses and maximized profit through team management

●  Built relationships with regular guests by recalling menu preferences and names

Manager

Chick-fil-A 2015-2017

●  Managed 10+ team members in front counter operations, leading a close-knit team

●  Analyzed operational data including labor expenses and maximized profit through team management

●  Built relationships with regular guests by recalling menu preferences and names

Broadcast Intern

Durham Bulls AAA Baseball Club 2015

●  Contributed to the broadcast team by directing live TV production

●  Administered recording and delivery of video replay

●  Trained new camera operators

Business Development Intern

Organic Transit 2014-2015

●  Contributed to innovations on the current “Elf” product

●  Created new revenue streams by sourcing and launching complementary accessories

●  Identified and built relationships in untapped markets, including island regions with vehicle restrictions

Business Development Intern

Organic Transit 2014-2015

●  Contributed to innovations on the current “Elf” product

●  Created new revenue streams by sourcing and launching complementary accessories

●  Identified and built relationships in untapped markets, including island regions with vehicle restrictions

What does this mean?

This is a starting point. The model focuses on offensive impact, but there is more to build. A defensive lens is next, with an emphasis on evaluating defensive impact relative to salary cap hits and term.

For Young Guns, the insight is clear. If you can get meaningful contributions from players on their first contracts, you gain a significant cap advantage. The variability is high. Some players step in immediately, some take time in the AHL, and some never develop. The key is identifying who can deliver real value early in their careers to maximize their cap saving window.

For the Messy Middle, it is about finding value in limited roles. Some players exceed expectations in small minutes, while others struggle to make an impact. That is the challenge and the opportunity for front offices. Teams that get this right can create real efficiencies on the cap sheet. The truth is, every team has a contract with a player underperforming. Maximizing players in the 24–28 age range on under-market contracts creates coverage for those inefficiencies.

This is just the beginning. There is more to build, and I look forward to posting more as I learn and explore these questions.

NBA Assistant FAQ

NBA Assistant FAQ

What is the NBA Assistant?

The NBA Assistant is a question-and-answer interface designed to make the 2023 NBA Collective Bargaining Agreement easier to navigate. It helps surface accurate responses to CBA-related questions.

What can I ask it?

• What’s the Mid-Level Exception • How do Bird Rights work • What triggers the second apron It’s built to handle rule-specific questions that come up in real roster and salary cap scenarios.

Where does the information come from?

The Assistant is built on the full 2023 NBA Collective Bargaining Agreement, using source material provided by Robert’s open-source GitHub project (linked below). This is version one. I’m continuing to expand its coverage and improve how it handles more complex or edge-case questions.

What is the NBA Assistant?

The NBA Assistant is a question-and-answer interface designed to make the 2023 NBA Collective Bargaining Agreement easier to navigate. It helps surface accurate responses to CBA-related questions.

What can I ask it?

• What’s the Mid-Level Exception • How do Bird Rights work • What triggers the second apron It’s built to handle rule-specific questions that come up in real roster and salary cap scenarios.

Where does the information come from?

The Assistant is built on the full 2023 NBA Collective Bargaining Agreement, using source material provided by Robert’s open-source GitHub project (linked below). This is version one. I’m continuing to expand its coverage and improve how it handles more complex or edge-case questions.

What is the NBA Assistant?

The NBA Assistant is a question-and-answer interface designed to make the 2023 NBA Collective Bargaining Agreement easier to navigate. It helps surface accurate responses to CBA-related questions.

What can I ask it?

• What’s the Mid-Level Exception • How do Bird Rights work • What triggers the second apron It’s built to handle rule-specific questions that come up in real roster and salary cap scenarios.

Where does the information come from?

The Assistant is built on the full 2023 NBA Collective Bargaining Agreement, using source material provided by Robert’s open-source GitHub project (linked below). This is version one. I’m continuing to expand its coverage and improve how it handles more complex or edge-case questions.

Unlock Full CashScore+ Data.

Unlock Full CashScore+ Data.

Connect for custom analysis, feedback, or questions.

Connect for custom analysis, feedback, or questions.

Connect for custom analysis, feedback, or questions.

This site relies on publicly available data that powers modern sports analytics.

MoneyPuck.com — Player and team performance data used throughout the CashScore+ models.
PuckPedia.com — Salary and contract details for NHL players. Used to evaluate efficiency and build salary benchmarks.
Robert (NBA CBA GitHub Project) — Source for the full NBA Collective Bargaining Agreement text. Used in the NBA Assistant chatbot.

Thank you to each of these sources for supporting the sports analytics community. Their work makes CashScore+ possible.

2025 © CashScore+

2025 © Mitchell Leblanc CashScore+