๐จ Itโs here! The 2025 NBA Draft Analytics Guide is LIVE ๐๐
100+ pages of projections, stats, comps, and AI-style scouting reports
๐ฅ Download: https://t.co/CpGEVQmX7i
๐ Not a mock draft โ this is a data-driven model built using machine learning to project NBA value
@RickHouTX Roughly:
1. Convert each rank to an expected pick value (e.g. smoothed avg historical peak win shares by pick #)
2. Apply to each modelโs ranks
3. Avg values across models for each player
4. Sort to get a consensus rank
Note: Missing rank gets imputed with last pick value
Here is Models vs. Actual. Let's add Cam to the value list since he turned into value and see who got all these guys...
Cam = HOU
Dick = TOR
Pod = GSW
Miller = MIN
Sensabaugh = UTAH
Nnaji = BOS
Colby = SAC
Phillips = CHI
Cissoko = SAS
Amari = CHA
Jaylen = MIN
Tubelis = PHI (FA)
๐ Draft model consensus vs. actual picks in the 1st round of the 2024 NBA Draft! ๐โจ
๐Clingan (POR) / Topic (OKC) / McCain (PHI) / Collier (UTA)
โRisacher (ATL) / Salaun (CHA) / C. Williams (UTA) / Da Silva (ORL) / AJ Johnson (MIL)
#NBADraftModel#DraftModelGems
๐จ Top Undrafted Players from the 2025 NBA Draft! ๐๐
According to Draft Model consensus, these are the best bets for UDFA steals.
Keep an eye on these names ๐๐
#NBADraftModel#UndraftedGems
Itโs not just rank โ itโs philosophy:
๐๏ธโ๐จ๏ธ Analysts: what theyโve seen
๐ Models: what the numbers say
๐ฏ Mocks: what teams might do
The contrast reveals how each group thinks โ not just who they rank.
๐ Analysts vs. Mocks: What's the pattern?
Analysts are lower than mocks on:
- Derik Queen โ Crafty, physically imposing big with elite post skill and advanced feel for the game
- Joan Beringer โ Rim-protecting big with elite length and a rapidly developing interior presence
๐ The full correlation map tells a story:
- Mocks sit in the middle, holding the ecosystem together
- Models split to the edges โ some align with scouting, others go full stat
- Analysts cluster left-center, closely tracking mocks โ except Hollinger, who hangs with the models
Analysts tend to track mock consensus closely (and maybe even influence it), but some subtle trends emerge:
๐ Lower on:
- Derik Queen / Joan Beringer
๐ Higher on:
- CMB / Noa / Jase / Thiero / Saraf
Interesting: Every one of those "analyst leans" matches the models.๐ค
๐คฏ What happens when you put models, mocks, and analysts on the same board?
Clarity. Clusters. Chaos.
Compare some of your favorites draft analysts (@DraftExpress, @johnhollinger, @KevinOConnorNBA, @Sam_Vecenie) against the mocks/models ๐
#NBADraft#ModelConsensus
Why do these gaps matter?
- Models weigh production, not hype
- Scouts lean into tools & projection
- Data helps spot hidden gems early
This isnโt a vibe check โ itโs predictive modeling
๐ Model vs. Mock: Letโs talk disagreement
Which prospects do data-driven models loveโฆ and who might be getting overhyped?
Discover the steals and the traps ๐ง
#NBADraft#ModelConsensus#HiddenGems
Not all models tell the same story. My model is...
๐ Higher than consensus on:
- Jeremiah Fears (#3 / #11 / #7)
- Egor Demin (#6 / #18 / #15)
- Ben Saraf (#4 / #27 / #32)
- Hansen Yang (#12 / #31 / #35)
- Bogoljub Markovic (#18 / #29 / #38)
(JF vs. Model Consensus vs. Mock)