Occupation intelligence

odds compiler

Snapshot

Do you have a sharp analytical mind and a passion for sports or events? As an odds compiler, you'll be at the heart of the gambling industry, setting the probabilities that drive customer bets and shaping the financial health of a bookmaker.

Summary

Odds compilers play a vital role in bookmaking, betting exchanges, lotteries, and online gaming platforms. Your daily work involves analyzing events, calculating probabilities, and setting the odds for customers to wager on. This isn't just about numbers; it’s about understanding market trends, customer behavior, and managing financial risk to ensure the profitability of the business.

Key responsibilities
  • • Calculating and setting odds for a wide range of events, often in real-time.
  • • Monitoring customer betting patterns and adjusting odds accordingly to manage risk.
  • • Trading betting markets to balance liabilities and maximize profitability.
53%
Resilience Score · 2026 (Higher is better)
Primary education 35% AI exposure
Start Career DNA assessment
Labour market

Where this occupation is in demand

Reported labour shortages and surpluses, by year. Published for occupation groups, not for individual job titles.

Shortage reportedSurplus reportedReported in another yearNot covered by this source

Deeper colour: reported the same way in more consecutive years.

Figures cover Customer services clerks — 37 jobs including this one.

5 of 9 in shortage202510 of 27 growing1.3Mopenings to 2035

In shortage: Czechia, Denmark, Italy, Malta and 1 more.

Longest-running shortage: Romania, 4 years.

Select a place on the map to see its figures.

About this source

Source: ELA/EURES labour shortages and surpluses. Readings are published at occupation-group level, and cover Europe. Editions differ in annex layout and country coverage, so a change between years does not always mean the labour market changed. Countries in grey were not reported, which is not the same as being in balance.

Explore More

Find your career path and explore the science behind our recommendations.

Guiding others? See NexPath for schools and practices.
Quick fit check

Could odds compiler fit you?

Answer three quick questions. This is not a full assessment — it is a teaser to help you decide whether to compare your profile.

Progress0/3

Do you enjoy tasks that require Attention to Detail?

Do you enjoy tasks that require Integrity?

Do you enjoy tasks that require Dependability?

NexFuture™

Future Outlook for odds compiler

The outlook for odds compiler reflects a balanced mix of automation exposure and durable, human-led work.

How are these scores calculated?

The Resilience Score (0–100) estimates how structurally protected this occupation is from automation and AI disruption, based on task-level analysis. Higher scores mean more human-judgment-intensive tasks. AI Exposure shows the estimated percentage of task hours that current AI capabilities could affect. These are model-derived structural indicators, not predictions about individual job security.

Play the future

How could odds compiler change as AI adoption grows?

This role is likely to change gradually, with AI supporting selected tasks rather than replacing the whole occupation.

Significant task-level transformation is estimated in 15 years (around 2041) under the selected Expected Pace scenario.
~50%
Resilience
Automation Risk
EXP~35%
Human advantage
MOAT~55%

Illustrative scenario based on task automatability — not a forecast. Values are rounded the further ahead you look.

2026
2034
2046
AI Adoption Speed:

How AI may change this role

Deterministic, model-based interpretation of current role signals — not a guarantee of replacement.

Human-owned 53% Human-owned
What still depends on people
  • follow ethical code of conduct of gambling
  • place bets
The Human Edge To stay ahead in this role, focus on games rules and legal standards in gambling. These human-centric skills are the hardest for AI to replicate in the next 20 years.
Assist 15% Assist
Where AI may become a co-pilot
  • solve problems in gambling through digital means
  • display betting information
  • persuade clients with alternatives
Automate 35% Automate
Tasks most exposed to automation
  • work out odds
  • calculate betting target odds
Detailed Analysis

Vital Signs & AI Vectors

AI Exposure Vectors

0-100%
AI / Machine Learning 15%

Exposure to AI-assisted analysis, pattern recognition, and predictive modelling tasks

Generative AI 9%

Exposure to content generation, creative augmentation, and large language model tools

Cognitive Software 4%

Exposure to workflow automation, decision-support software, and process digitisation

Robotic & Physical Automation 0%

Exposure to physical automation, robotics, and sensor-driven task displacement

Technical Details
Methodology: NexFuture v3.0 Sources: O*NET® 30.3, ESCO v1.2.1 Updated: Aug 2026

NexFuture v3.0 estimates automation exposure natively from ESCO essential-skill groups, weighted by skill mass and calibrated against expert anchors. Scores are probabilistic estimates, not guarantees. See the NexFuture Methodology White Paper for full details.

Measures automation exposure. It does not measure pay, demand, or how many jobs exist near you.

Day in the life

What people in this role usually do

Digital Technology

Day in the life

A typical day as a odds compiler

09
09:00 · Morning
calculate betting target odds
Calculate betting target odds to guarantee profitability for the house and fair share for the customers.
10
10:30 · Mid-morning
work out odds
Make informed decisions to work out the odds for sports and races.
12
12:00 · Midday
display betting information
Answer betting queries and put betting information on display.
14
14:00 · Afternoon
follow ethical code of conduct of gambling
Follow the rules and ethical code used in gambling, betting and lottery. Keep the entertainment of players in mind.
15
15:30 · Late afternoon
place bets
Place bets for sports and racing activities.
17
17:00 · Wrap-up
solve problems in gambling through digital means
Use ICT resources, tools and competence in order to solve gambling, betting and lottery problems such as game operation problems.

Task order is illustrative. Individual days vary.

Software & Technologies & Knowledge areas
Software & Technologies
Credit card processing softwareMicrosoft ExcelMicrosoft Office softwareMicrosoft PowerPointMicrosoft WindowsMicrosoft WordWeb browser software
Knowledge areas
  • games rules

    Set of principles and rules that govern a game.

  • legal standards in gambling

    The legal requirements, rules and limitations in gambling and betting activities.

  • sporting events

    Possess an understanding of different sporting events and conditions that can affect a result.

Cross-sector skills
  • mathematics
Essential skills
performing calculations
  • work out odds

    Make informed decisions to work out the odds for sports and races.

  • calculate betting target odds

    Calculate betting target odds to guarantee profitability for the house and fair share for the customers.

presenting general information
  • display betting information

    Answer betting queries and put betting information on display.

engaging with others to identify needs
  • persuade clients with alternatives

    Describe, detail, and compare possible alternatives that clients could take about products and services to persuade them to take a decision that benefits both the company and the client.

resolving computer problems
  • solve problems in gambling through digital means

    Use ICT resources, tools and competence in order to solve gambling, betting and lottery problems such as game operation problems.

complying with operational procedures
  • follow ethical code of conduct of gambling

    Follow the rules and ethical code used in gambling, betting and lottery. Keep the entertainment of players in mind.

conducting gaming activities
  • place bets

    Place bets for sports and racing activities.

Skill DNA

Skill DNA

Work personality traits and values that define this role

Key traits you need
Attention to Detail Integrity Dependability Self-Control Stress Tolerance Cooperation Concern for Others Adaptability/Flexibility Independence Social Orientation Achievement/Effort Initiative Analytical Thinking Leadership Persistence Innovation
Key rewards you can expect
AchievementWorking Condit…RecognitionRelationshipsSupportIndependence
Career progression

Growth Pathways & Similar Roles

Explore typical career progression paths, adjacent skills, and similar roles to plan your next transition.

Common questions

Frequently asked questions

What skills are most important for an odds compiler?
Strong analytical skills, a deep understanding of statistics and probability, and a keen awareness of the events you're pricing are essential. You'll also need excellent decision-making abilities under pressure and the ability to quickly adapt to changing market conditions.
Do I need a background in mathematics or statistics to become an odds compiler?
While a background in mathematics, statistics, or a related field is beneficial, it's not always mandatory. A strong aptitude for numbers, analytical thinking, and a willingness to learn the intricacies of odds calculation are often sufficient, especially with on-the-job training.
How does the financial health of a bookmaker impact my work as an odds compiler?
The bookmaker's financial position directly influences your decisions. You may need to adjust odds or betting limits to mitigate risk and ensure the business remains profitable, particularly when there's an imbalance in bets placed on different outcomes.
Odds Compiler — is there a shortage in Europe?
Yes. In the 2025 ELA/EURES edition, a shortage was reported in 5 of the 9 European countries that assessed this occupation group: Czechia, Denmark, Italy, Malta and 1 more. Romania has reported one for 4 consecutive years. These assessments are published per occupation group rather than per job title.
Odds Compiler — what does it pay in the United States?
$30,460 a year at the median, as of 2025-05. State medians run from $19,740 to $54,740. Source: US Bureau of Labor Statistics. This is a United States figure and not a projection for Europe.