**Stop Betting Player Props Until You Watch This — Transcript & Summary | SozAI**
Source: https://sozai.app/transcript/stop-betting-player-props-until-you-watch/

Rob Pizzola explains why using hit rates from recent games as true probabilities in NBA prop betting is a logical error, and outlines four reasons hit rates break down.

## Key Takeaways

- A hit rate from recent games is not a probability and should not be used as one to find betting edges.
- Results depend heavily on arbitrary sample windows and on contextual factors the hit rate ignores.
- Alternate-line hit rates can create the illusion of edge and are especially misleading.
- Bettors should focus on forward-looking projections that account for today's matchup, minutes, and lineup conditions.

## What the video covers

- Hit rate (e.g., 18 of 20 games over a line) is backward-looking and is not the same as a forward-looking probability that accounts for today's game conditions.
- Treating a hit rate as a true probability is described as the most common logical error in prop betting today.
- Reason 1: Endpoint selection is arbitrary; changing the number of games (15, 20, 30) can produce wildly different results, so an apparent edge may just reflect where counting started.
- Reason 2: Hit rates ignore context within the sample, such as injuries to teammates, inflated usage, opponent quality, or overtime minutes, treating all games as identical.
- Reason 3: The 'cups with balls' analogy used by a commenter is flawed because sports outcomes are uncertain and variable, not a fixed distribution that can be counted.
- Reason 4: Applying the same flawed logic to alternate lines makes the error worse, as the hit rate climbs down the alternates ladder and creates a false sense of edge.
- The video promises a real NBA example where hit rate suggests one bet side while the actual process suggests the opposite.
- The creator presents Circles Off as a channel focused on the processes behind bets rather than picks or parlays.

## Chapters

1. 00:00 Why Using Recent Games to Project Props Is Backwards
2. 00:31 Hit Rate vs. True Probability
3. 02:32 Introduction to the Channel and Approach
4. 03:53 Reason 1 and 2: Endpoint Selection and Missing Context
5. 06:23 Reason 3: The Cups Analogy Misconception
6. 07:53 Reason 4: Alternate Lines and the Illusion of Edge

Answers

## Questions about this video

Why does the speaker say a hit rate is not a probability?

A hit rate is backward-looking and reflects results under past conditions, while a probability is forward-looking and accounts for today's matchup, minutes, and lineup. Treating a hit rate as a true probability is a logical error.

What is the 'cups with balls' analogy and why does the speaker reject it?

A commenter compared past results to picking a cup with a ball from ten cups with eight balls. The speaker rejects it because sports outcomes are uncertain, change nightly, and depend on variables not present in the sample, unlike a fixed distribution.

How do alternate lines make the hit-rate mistake worse?

As the line drops (over 17.5, 14.5, 11.5), the hit rate rises from 14 of 20 to 19 of 20, making an edge appear. The speaker argues this apparent edge is not real.

## Full Transcript — Download SRT & Markdown

00:00

Speaker A

If you're looking at a player's last 15 games to project a prop, you're doing it backwards.

00:14

Speaker A

And it's the single biggest reason most prop bettors are losing money right now.

00:30

Speaker A

You've seen this before.

00:42

Speaker A

You've seen it on Twitter, on YouTube, in paid Discords.

00:50

Speaker A

It looks like math, it feels like an edge, but it's neither.

01:04

Speaker A

In the next 15 minutes, I'm going to show you why this approach produces the wrong answer.

01:11

Speaker A

What you should actually be looking at instead.

01:18

Speaker A

And later on in this video, I'm going to walk you through a real example in the NBA where the hit rate tells you to bet one side and the actual process says to bet the other.

01:33

Speaker A

Stick around to the end because there's a piece of advice in here for every bettor.

01:51

Speaker A

You need to hear it and you need to remember it.

02:01

Speaker A

Here we go.

02:14

Speaker A

First, let me show you what I'm talking about.

02:31

Speaker A

An NBA player has an alternate total of over 20.5 points at minus 400.

02:39

Speaker A

You pull up his last 20 games, you see he went over 20.5 in 18 of them.

02:56

Speaker A

That's 90%.

03:10

Speaker A

The implied probability at minus 400 is 80%.

03:24

Speaker A

So, you say there's a 10% edge.

03:41

Speaker A

There is some real value here.

03:57

Speaker A

And it sounds right.

04:09

Speaker A

But it isn't.

04:25

Speaker A

It's wrong.

04:33

Speaker A

And here is the most important thing I want you to understand.

04:52

Speaker A

Your hit rate is not a probability.

05:04

Speaker A

A probability is forward-looking.

05:18

Speaker A

It accounts for the conditions of today's game.

05:26

Speaker A

The matchup, the minutes, who's in the lineup, who's out of the lineup.

05:44

Speaker A

A hit rate is backward-looking.

06:00

Speaker A

It tells you what already happened under a completely different set of conditions.

06:09

Speaker A

Now, treating a hit rate as a true probability is not a shortcut.

06:19

Speaker A

It is a logical error, and it is the most common logical error that I see in prop betting today.

06:31

Speaker A

If you're new to this channel, I'm Rob Pizzola.

06:39

Speaker A

I bet for a living.

06:56

Speaker A

Circles Off is where I show the actual processes that I use for betting.

07:11

Speaker A

Not picks, not parlays, the work behind the bets.

07:25

Speaker A

If that's what you're looking for, this video is going to be useful.

07:39

Speaker A

Now, let me give you four reasons why hit rate breaks down.

07:53

Speaker A

First is endpoint selection.

07:59

Speaker A

Why 20 games?

08:16

Speaker A

Why not 15?

08:30

Speaker A

Why not 30?

08:37

Speaker A

The number is arbitrary, and small changes to it produce wildly different results.

08:54

Speaker A

If your edge depends on where you draw the line, you don't actually have an edge.

09:11

Speaker A

You have a result of where you decided to start counting.

09:24

Speaker A

Second, there is no context inside those games.

09:40

Speaker A

Were teammates out for part of that stretch and a player's usage was inflated?

09:49

Speaker A

Was there a run of bottom-five defenses?

10:02

Speaker A

Was there a couple of overtime games that added minutes?

10:10

Speaker A

The hit rate treats every game as identical, but they are not.

10:23

Speaker A

Third, and this is the one that gets people heated when I bring it up.

10:36

Speaker A

A few months ago, we did a reaction video to a LineMaker Sports video with Isaac Rose Burman here in studio.

10:44

Speaker A

And we said the same thing I'm going to tell you right now.

10:57

Speaker A

The comments lit up.

11:08

Speaker A

One commenter in particular, this one stuck with me because it is such a clean example of this misconception.

11:20

Speaker A

He said this, and I quote, "If you have 10 cups and eight of them have a ball in them, there is an 80% true probability of picking a cup with a ball."

11:24

Speaker A

On the surface, that sounds right.

11:37

Speaker A

But sports outcomes are not cups with balls in them.

11:49

Speaker A

Cups have a fixed distribution you can count right now.

12:04

Speaker A

Sports outcomes are uncertain.

12:20

Speaker A

They change every night.

12:27

Speaker A

They depend on hundreds of variables that were not present in your sample.

12:42

Speaker A

The cups analogy is the exact mistake.

12:50

Speaker A

Past results are not a fixed probability that you can read off the page.

13:05

Speaker A

Now, if this is starting to click for you, hit the like button down below.

13:24

Speaker A

It tells YouTube to push this content to other people who actually want to learn the process instead of just getting fed pick of the day type of content.

13:33

Speaker A

It genuinely helps us.

13:48

Speaker A

Now, I want you to remember this cups analogy because I'm going to come back to it when we look at the actual projection in a few minutes.

13:53

Speaker A

Fourth and final, this same flawed logic gets applied to alternate lines, and the math is even worse there.

14:15

Speaker A

Watch this.

14:22

Speaker A

Same player, the main line over 20.5, no edge by hit rate.

14:38

Speaker A

So, you scroll the alternates.

14:51

Speaker A

Over 17.5 at minus 250.

15:00

Speaker A

Well, he went over that in 14 of 20.

15:12

Speaker A

Over 14.5 at minus 400.

15:18

Speaker A

17 of 20.

15:28

Speaker A

Over 11.5 at minus 50.

15:35

Speaker A

19 of 20.

15:39

Speaker A

Each step down the alternates ladder, the hit rate looks better and better, and the edge magically appears.

15:53

Speaker A

But it's not appearing.

Topics: prop betting hit rate NBA player props alternate lines implied probability sports betting analysis betting edge Circles Off expected value sample size

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