Profiling Analyst Flashcards

(16 cards)

1
Q

Formula for EV?

A

= (Probability of win x profit) + (Probability of loss x amount would lose)

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2
Q

EV for a free bet?

A

Pwin×(Odds−1)×Stake (for free bets)

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3
Q

Describe positive odds US betting?

A

+ 200 means that on a $100 bet if won you would make $200 profit

used for underdogs

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4
Q

Describe negative odds US betting?

A
  • 300, you would have to bet $300 to make $100

used for favs

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5
Q

Types of sharp accounts?

A
  • Player prop betting – arbing with unders, player position near kick off
  • Table tennis, low confidence sport – flat staking, PM, multying up same player, exclusively table tennis
  • Stats bettor – low grade IP singles, less sharp money to form prices
  • Fast feeding – feed testing bets, fast settling markets, cash outs
  • Alt markets/handicaps – going early PM beating closing
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6
Q

Metrics used to profile accounts?

A
  • Closing values – verify against exchange, time to off
  • Cohort type, GBA?
  • NLD, data client, was it a racket sport?
  • Strength of the sport – stats betting?
  • Monte carlo – how does that fit into the bigger picture
  • Live trading review, what context could they provide at bet placement, how strong was the reference
  • % of max laytolose placed
  • Related contingencies
  • Casino business – limited visibility at metric
  • Datadog
  • Bonusing thresholds – expected value
  • Multis – are they multiplying value or masking
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7
Q

Bonusing thresholds?

A
  • % of turnover is coupons
  • Certain amount of bets completed
  • IP address etc.. are live trading team seeing multiple hits on same selection, GBA marker on this
  • Expected value on accounts, can we combine this with other metrics to find sweet spot, can be achieved running SQL queries
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8
Q

Roles?

A

Customer profiling

Detecting trading patterns

Behaviour insights

Pricing dynamics

Sharp betting strategies PM and IP

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9
Q

Questions to ask?

A
  • How does the US team interact with the European
  • What would my daily routine look like and how do the hours work
  • Are there current plans to move more sportsbooks on European soil – am aware there is one online casino currently available in the netherelands
  • What is the biggest sharp issue currently faced by Hard Rock Digital
  • What would progression look like within the role
    How do you find yourself working at hard rock digital and what is your favourite thing about the role?
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10
Q

Why hard rock?

A

Strong backing by large franchise - Sponsoring Orlando Magic

Relatively new meaning able to work from ground up and have a big impact

Excited to get more experience on US sports - can provide value with world cup upcoming

I know Sten and Charlie, great individuals at Metric good signs about hard rock digital

Remote setting I have proven i wont require much onboarding and that im a hard worker who reaches out for oppourtunities

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11
Q

American teams in Florida? - important as they have exclusivity here

A

Dolphins, gators

Miami heat, Orlando Magic

Inter Miami

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12
Q
A
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13
Q

Hard rock details?

A

Franchise founded in 1971 (hospitalility, casino, entertainment) - Hard rock digital (sportsbook) branch in 2020, UK office 2023

Igaming side linked with playtech and bragg

Variety of states in US exclusive in Florida

Only presence casino in netherlands

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14
Q

Technical skills?

A

SQL - table tennis report, created reports when tableau went down, using AI with python workbooks in google colab to clean and analyse data

Sigma/Tableau dashboards

Monte carlo simulations

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15
Q

What I understand about the role so far?

A

10-6 or 12-8

Basics of role going through reports each day highlighting different accounts/business taken, these will all need to be analysed

When this is complete provides time to do analysis work, improving reports, giving feedback to data science/trading, automating processes

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