Buck Thomas Park Officials Budget Research

Integrity of the Game vs Economic Impact (Politics): The Oklahoma Business Plan
Independent Youth Sports Research • Moore, Oklahoma

BUCK THOMAS PARK OFFICIALS BUDGET RESEARCH

A 2024 scenario-based operating model examining how a ten-field baseball schedule, umpire staffing requirements, compensation rates, and program design can shape the cost of delivering youth baseball.

Facility Capacity → Umpire Slots → Labor Cost → Required Program Revenue
Buck Thomas Park Officials Budget Research feature image
Research Model Snapshot

What the CSV establishes

The model contains 1,288 records and 71 columns. Every BCM compensation scenario contains the same 184 operating records and the same 10,997 umpire slots, allowing a direct comparison of the financial effect of changing the umpire rate while holding the modeled schedule constant.

10
Baseball Fields
1,288
Total CSV Records
71
CSV Columns
184
Records Per Scenario
10,997
Umpire Slots Per Scenario
3
Programs Modeled
3
Seasons Modeled
$40–$100
Umpire Rate Range
Every $10 change in the modeled umpire rate changes annual direct umpire expense by exactly $109,970.
Why This Analysis Was Developed

Player pricing begins with understanding the cost of officials

The research model was developed in connection with the 2024 City of Moore Youth Baseball Leagues/Tournaments Provider RFP. The proposal process required an estimated individual player cost, but that number depended in part on an uncertain and potentially significant operating expense: umpire compensation.

The accompanying research narrative explains that prior Oklahoma operating experience demonstrated how umpire availability could change when the offered per-game rate changed. Instead of assuming one fixed cost, the Buck Thomas spreadsheet tested seven possible compensation environments from $40 through $100 per game assignment.

The result is an operating-budget sensitivity model rather than a simple payroll estimate. It measures how field capacity, scheduling decisions, age-specific staffing requirements, and the market price of officials interact.

RFP Context

  • City of Moore RFP #2024-007 sought a youth baseball leagues/tournaments provider.
  • The submitted concept proposed Monday, Tuesday and Thursday USSSA League play.
  • Friday was designated for a proposed Little League program.
  • Wednesday was generally reserved for makeup/rainout use.
  • Saturday and Sunday were planned primarily for tournament activity.
  • The RFP identified a 2023-style planning fee of $90 player registration + $80 player gate at the BCM 50 assumption.
Research Logic

How the model converts a baseball schedule into a budget requirement

1
10 Fields & Age Divisions
2
Games Scheduled
3
Umpires Required Per Game
4
Total Umpire Slots
5
Compensation Rate
6
Annual Umpire Budget
7
Required Program Revenue
Seven Controlled Compensation Scenarios

Annual direct umpire cost at the same 10,997-slot schedule

The model holds schedule demand constant. The difference between scenarios is the per-assignment compensation rate.

User Group Umpire Rate Records Umpire Slots Modeled Annual Umpire Cost
BCM 40$4018410,997$439,880
BCM 50$5018410,997$549,850
BCM 60$6018410,997$659,820
BCM 70$7018410,997$769,790
BCM 80$8018410,997$879,760
BCM 90$9018410,997$989,730
BCM 100$10018410,997$1,099,700

Modeled cost = total umpire assignments multiplied by the applicable scenario rate. These figures are planning-model costs, not verified historical payments.

Program Breakdown

Where the umpire demand occurs

Tournament play is the largest component of the modeled officiating workload, followed by USSSA League and the proposed Little League program.

Tournament Play

7,605
Umpire Slots

78 schedule records per scenario.

69.2% of annual modeled umpire demand.

$304,200 at BCM 40 → $760,500 at BCM 100.

USSSA League

2,496
Umpire Slots

78 schedule records per scenario.

22.7% of annual modeled umpire demand.

$99,840 at BCM 40 → $249,600 at BCM 100.

Little League

896
Umpire Slots

28 schedule records per scenario.

8.1% of annual modeled umpire demand.

$35,840 at BCM 40 → $89,600 at BCM 100.

Seasonal Demand

Spring carries the largest officiating workload

6,857
Spring Umpire Slots

101 records per scenario

768
Summer Umpire Slots

24 records per scenario

3,372
Fall Umpire Slots

59 records per scenario

Scenario Spring 2024 Summer 2024 Fall 2024 Annual Total
BCM 40$274,280$30,720$134,880$439,880
BCM 50$342,850$38,400$168,600$549,850
BCM 60$411,420$46,080$202,320$659,820
BCM 70$479,990$53,760$236,040$769,790
BCM 80$548,560$61,440$269,760$879,760
BCM 90$617,130$69,120$303,480$989,730
BCM 100$685,700$76,800$337,200$1,099,700
Field & Age-Division Model

One-umpire and two-umpire fields drive different labor requirements

The model assigns age divisions to specific fields. The five younger-field assignments use one umpire per game; Fields 6–10 use two. If every field is active simultaneously and officials remain assigned to their fields for successive games, the underlying narrative identifies a theoretical minimum workforce of approximately 15 officials present at one time.

FieldModeled DivisionUmpires Per GameOperational Effect
14U1Single-official field
25U1Single-official field
37U1Single-official field
46U1Single-official field
58U1Single-official field
69U2Two-official field
710U2Two-official field
811U2Two-official field
912U2Two-official field
1015U2Two-official field
Important distinction: 10,997 umpire slots do not mean 10,997 individual umpires. A slot is one paid game assignment. Individual officials may work multiple games during an event day.
Player & Team Cost Framework

The spreadsheet links officiating expense to affordability questions

League Planning Variables

The CSV contains player-signup and player-gate fields that were designed to test whether planned program revenue could support operating costs.

The RFP describes an estimated 2023-style planning structure of $90 player fee + $80 player gate fee under the BCM 50 assumption.

Tournament Planning Variable

The research narrative references a $500 team entry fee and an assumption of 11 players per team.

$500 ÷ 11 players = approximately $45.45 per player in team-entry cost.

These are planning variables and proposal assumptions. They do not, by themselves, establish actual registrations, collections, gate receipts, refunds, sponsorships, or net operating income.

2024 Proposal Architecture

The budget model sat inside a broader youth baseball operating proposal

League Concept

USSSA League: Monday, Tuesday and Thursday.

Proposed Little League: Friday.

Wednesday: makeup/rainout flexibility.

Tournament Concept

39 tournament events were identified in the RFP concept.

80 teams per event, with 880 players identified in the proposal.

Three-game guarantee before bracket play.

Operating Responsibilities

The RFP contemplated provider responsibility for concession equipment/supplies, field maintenance materials, restroom supplies, trash/debris removal and related operating needs.

The RFP listed an annual lease fee of $6,800.

Data Architecture

What the 71-column CSV is designed to capture

Administrative

ID, User Group, Sport, Year, Program, Season, Game Week, Start Date, End Date, Day.

Participation

Players Per Team and related planning assumptions.

Field-Level Operations

Games, officials required per game, umpire slots, cost per game and total field umpire cost for all ten fields.

Facility-Wide Workforce

Minimum Required Umpires, Total Umpire Slots Required and Total Umpire Cost.

Other Labor Variables

Contract Labor Hourly Rate, Hours Per Day and Hours Per Week.

Revenue-Side Variables

Player Gate Fee, Player Signup Fee, Notes and other planning fields.

Data Quality & Interpretation

The dataset should be read as a controlled planning model

  • All seven user groups contain 184 records.
  • All seven user groups contain 10,997 umpire slots.
  • Each scenario contains 28 Little League, 78 USSSA League and 78 Tournament Play records.
  • The CSV is the primary source for structured calculations.
  • The explanatory narrative provides intent, history and column definitions.

What the model does not establish

It is not a ledger of actual 2024 games, registrations, gate attendance, umpire payments, tournament receipts, refunds, sponsorships, profits or net cash flow. Actual utilization could differ because of demand, weather, cancellations, field conditions, scheduling decisions and official availability.

From Budget Model to Workforce Reform

Why this research matters beyond one facility

The Buck Thomas analysis provides a quantitative baseline for examining the Oklahoma Professional Umpire Workforce Model. It shows the cumulative financial effect of a game-by-game labor market when nearly 11,000 annual assignments must be filled.

Availability

What compensation level is necessary to reliably staff the schedule?

Predictability

Can a more structured workforce reduce uncertainty in annual officiating costs?

Professional Standards

How might training, scheduling, accountability and career pathways change the officiating model?

Research Documents

Read the full analysis and facility context

Buck Thomas Park Umpire Analysis

The comprehensive executive summary documents the scenario structure, facility assumptions, program and seasonal breakdowns, cost sensitivity, data-quality assessment, and relationship to the broader professional umpire workforce concept.

Open Comprehensive Executive Summary

Buck Thomas Park Research

Review the related Buck Thomas Park facility research for additional facility context and the broader Oklahoma youth-sports research framework.

Open Buck Thomas Park Page
Evidentiary Boundaries

What this research establishes — and what it does not

Established by the research model

  • Seven compensation scenarios from $40 to $100.
  • 184 schedule records per scenario.
  • 10,997 umpire slots per scenario.
  • Program-level and seasonal slot distributions.
  • Field-level age and umpire staffing assumptions.
  • Direct modeled umpire cost under each scenario.
  • Cost sensitivity created by changes in the per-game rate.

Not established by the model alone

  • Actual 2024 games played.
  • Actual umpire payments or tax treatment.
  • Actual player or team collections.
  • Actual gate or concession revenue.
  • Actual tournament participation.
  • Actual profitability or net operating income.
  • Actual performance of any operator under the model.
Research Summary

A baseline economic model for umpire-dependent youth baseball operations

The Buck Thomas Park Officials Budget Research demonstrates why officiating cannot be treated as a minor line item when evaluating the operation of a large youth baseball complex. At the modeled workload of 10,997 umpire assignments, each $10 movement in compensation changes the annual direct umpire budget by $109,970.

The model therefore provides a quantitative explanation for why player pricing could not be responsibly separated from the cost of officials. Facility capacity creates games; games create umpire assignments; assignments multiplied by market compensation create the labor budget; and the labor budget contributes to the amount of revenue the program must generate.

The research should be understood as a planning and sensitivity model developed from the proposed 2024 operating architecture. Its significance lies not in predicting that every game slot would necessarily be filled, but in showing the scale of financial exposure that can arise if a ten-field schedule is substantially utilized.

Research & Methodology Disclaimer

Independent analytical publication

This page is an independent research and analytical publication prepared for research, education, transparency, youth-sports planning, and public-interest analysis. It is not represented as an official report of the City of Moore, USSSA, Little League International, Buck Thomas Park, any current facility operator, or any other public or private organization.

Modeled umpire costs, player-cost variables, tournament assumptions, staffing requirements, schedule capacity, and scenario totals are analytical planning figures derived from the supplied research materials and the Buck Thomas Umpire Analysis dataset. They are not audits, tax determinations, forensic-accounting conclusions, verified receipts, verified payroll, legal findings, or allegations of wrongdoing.

Identification of an organization, facility, sanctioning body, program, rate, or operating structure is for research context and does not itself imply misconduct, liability, endorsement, or a verified contractual relationship beyond what the underlying source materials establish.