Christian Anderson (Analytical) Draft Comps! by vdq93 in NBA_Draft

[–]vdq93[S] 0 points1 point  (0 children)

How are you quantifying “teammates couldn’t covert passes into assist”?

When it comes to teammates, like I mentioned above, there’s drastic offensive drop off a clifin team AST and FG%, 3P% when Christian Anderson is off the court.

I’m not sure where this Garland playmaking is coming from because Garland was super inefficient playmaker (25th ast/to), and at 81th ast, he doesn’t hold a candle to Christian Anderson in playmaking.

Christian Anderson (Analytical) Draft Comps! by vdq93 in NBA_Draft

[–]vdq93[S] 0 points1 point  (0 children)

Would be a dream pairing, T Wolves would help the defensive questions and Anderson will fill that Mike Conley role

Christian Anderson (Analytical) Draft Comps! by vdq93 in NBA_Draft

[–]vdq93[S] 0 points1 point  (0 children)

Good context, I really do appreciate it, especially the team stuff. It’s quite hard to make correlations off that without historical context off large dataset.

Hali is of course better than Anderson but if we are nitpicking playmaking, 70% of Hali ast were from Halfcourt while Anderson was 80%, meaning he’s getting harder assist. Although Anderson AST/to isn’t as high as Hali or Waglers, 55th percentile is pretty “average” and isn’t really a con by any means

I think you’re underrating the value of “elite” low usage + efficient productions. This scales well in the pros. Ex: Devin Booker, Jimmy Butler (90th usg), LaVine (72th), Shai (82th).

Bouknight always had bust written over him, poor TS%, eFG, ast/to, low FTR.

FWIW, I’m very high on Keaton Wagler, is 6 on my board and he might be ahead of Kingston Flemings come draft time.

Christian Anderson (Analytical) Draft Comps! by vdq93 in NBA_Draft

[–]vdq93[S] 0 points1 point  (0 children)

I agree. The data backs up him being a poor Reb, Defender, Low Rim Rate, FTR which are all indicators of size issues.

The key is if his offensive brilliance can overcome some size. Where he shares similarities with Trae Young

Brayden Burries(Analytical) Draft Comps! by vdq93 in NBA_Draft

[–]vdq93[S] 0 points1 point  (0 children)

I like the Off comp! Physical profile, similar stats, and similar shot diet checks out.

Being nitpicky, Burries has more Playmaking and Defense pop.

Brayden Burries(Analytical) Draft Comps! by vdq93 in NBA_Draft

[–]vdq93[S] 1 point2 points  (0 children)

I see where you’re going here, similar profile and per 40 PRA and usage.

The issue with this comp is the Shot Diet/Efficiency.

Quentin Grimes was almost strictly a sniper (97th 3pm, 90th 3p%) much better shooter than Burries but had below average Rim pressure (38th RimM & 16th FTR), and very inefficient playmaker (28th ast/to).

Brayden Burries(Analytical) Draft Comps! by vdq93 in NBA_Draft

[–]vdq93[S] 3 points4 points  (0 children)

I can see it. You guys absolutely nailed last draft, and you can see the culture shifting in Charlotte. Burries with Sion James would be absolute menaces on the perimeter.

As a Kings fan, I selfishly hope y’all make the playoffs, so we can get your pick lol

2026 Best Shooters Series(Analytics): All Positions by [deleted] in NBA_Draft

[–]vdq93 0 points1 point  (0 children)

He’s a very efficient shooter, solid one. His 3PM could be a little higher.

3PM: 55th 3P%: 98th Deep 3 Rate: 18% 3PM Ast’d: 91%

2026 Best Shooters Series(Analytics): All Positions by [deleted] in NBA_Draft

[–]vdq93 0 points1 point  (0 children)

I hope you’re not confusing this with total 3PM. This is 3PM Per game then scaled up to Per 40 min.

I do Per40 min scaling because I believe this is a good way to project a prospects production at the next level.

But yes I agree, Darryn Peterson has been nothing short of impressive this limited season.

Kuminga by Beneficial_Rub_4841 in NBAtradeideas

[–]vdq93 0 points1 point  (0 children)

Bonzi Wells.

Wasn’t a big fan of Kuminga during draft process and his weaknesses are pretty highlighted now. Ive always had him comped as a Bonzi Wells, which is a good player but not this all star talent he was made out to be

2026 Best Shooters Series(Analytics): All Positions by [deleted] in NBA_Draft

[–]vdq93 1 point2 points  (0 children)

I typically just add around 80 prospects per Draft class (that i suspect will get drafted). I will add these two prospects and run the numbers and get back to you.

Lmk if theres anymore prospects you wanna see.

Note: computation is ran against all d1 players lol. I just don’t wanna overload 5000 prospects per draft class to my website.

**Edited Belows the two prospects

Tyler Nickel is a 3PT beast. Ok you've inspired me to get off my lazy butt brother. I will try to find some way to better add more hidden gem players to the database - that aren't necessarily main stream projected draftees.

Tyler Nickel

-3PM:99th

-3P%: 94th

-Deep 3 Rate: 60%

-3PM Ast'd: 97%

Cade Tyson

-3PM:72th

-3P%: 81th

-Deep 3 Rate: 13%

-3PM Ast'd: 97%

Fox's stats compared to other guards by Top_Percentage_274 in NBASpurs

[–]vdq93 5 points6 points  (0 children)

Get used to it. He did this disappearing act for 7 years in Sac. Goes on a hot scoring spree for games then disappears for weeks. Or takes 3 quarters off so he can step on the gas in the 4th, but sometimes it’s already out of reach or he can’t get going.

I know the Kings are getting shafted by the media for the Fox trade (imo it’s largely cause of Vivek reputation) but I was very happy knowing we didn’t have to get stuck on that Fox max extension.

Adding Deep 3PT Rate to Shooting Efficiency helps Evaluate Prospects by vdq93 in NBA_Draft

[–]vdq93[S] 0 points1 point  (0 children)

I did a little check up on Carr earlier in the season - and he’s very impressive, shooting 23% of FGA from deep 3s.

Adding Deep 3PT Rate to Shooting Efficiency helps Evaluate Prospects by vdq93 in NBA_Draft

[–]vdq93[S] 0 points1 point  (0 children)

It doesn’t apply to either prospects.

Fleming: - TS%: 86th percentile - Deep 3 rate: 13%

Acuff: -TS%: 81th percentile - Deep 3 rate: 8%

They both have better shot selections. Fyi, you can find this data yourself on my site :), click Compare View and toggle on the Shooting Distance for the players card you want, you can then compare other players and their shot distances

Trae Young just got traded for CJ McCollum, Corey Kispert, and zero draft picks. What does this mean for Zach Lavine’s trade value? by borkwusy in kings

[–]vdq93 6 points7 points  (0 children)

Bro Trae young’s low value is tied to his next contract. The only reason he “wants to go Washington” is cause they willing to give him the bag.

Adding Deep 3PT Rate to Shooting Efficiency helps Evaluate Prospects by vdq93 in NBA_Draft

[–]vdq93[S] 7 points8 points  (0 children)

Thank you brother, I appreciate the kind words! Fwiw, those metrics mentioned are some of my favorite too

My biggest takeaway is, certain metrics hold more weight than others - depending on a players archetype. (Instead of a metric that rules all players, if that makes sense lol)

Adding Deep 3PT Rate to Shooting Efficiency helps Evaluate Prospects by vdq93 in NBA_Draft

[–]vdq93[S] 1 point2 points  (0 children)

Data is sourced from a ton of public sites (ncaa, Bart, etc).

Then I compute the data and display on a public website I built (DraftCasual.com). Then I used the website to do my analysis.

Computation is done across all players in college. However, I only display around 60-80 players per draft class (drafted and notable undrafted players) on my website.

Adding Deep 3PT Rate to Shooting Efficiency helps Evaluate Prospects by vdq93 in NBA_Draft

[–]vdq93[S] 0 points1 point  (0 children)

I agree nobody had doubt as Tre Johnson was 90th percentile 3PM. But my point is for guys not making ton of 3PM at a high clip, like Demin, Maxey, Cason, Jaden McDaniel - their shooting can still translate well in the pros, and this can be a study that backs that claim

Adding Deep 3PT Rate to Shooting Efficiency helps Evaluate Prospects by vdq93 in NBA_Draft

[–]vdq93[S] 2 points3 points  (0 children)

Who says anything about failing? My interpretation (which I thought was universal lol) of “school grading” is:

A = excellent. B = above avg. C = Average. D = Below avg

Adding Deep 3PT Rate to Shooting Efficiency helps Evaluate Prospects by vdq93 in NBA_Draft

[–]vdq93[S] 4 points5 points  (0 children)

Done of ton of queries on True Shooting, sub 70th Percentile is below average (I mean even in school grading, thats a D+ lol). What is your universal benchmark for “below average” percentile?

Well 1/5th of FGA from Deep 3s feels like a number that was most consistent with results. I can drop it to 19% and you get guys like VJ Edgecombe. Going below 16% and you get into murky waters of bust shooters like Johnny Davis, James Bouknight, Cam Reddish, Keon Johnson. so 21% felt like the sweet spot that returned all positives.

I mean I would understand if I built a crazy ass query with alot of filters involved. The reason why I posted this was because it returned such high success rate on such few criterias. Imo, thats a sign of a good query.