Isaiah Silas

Cayden Daughtry impressed in today's matchup against RWE, posting 46 PTS, 6 AST, 6 REB, and 1 STL on 51.9% FG and 33.3% 3P Across his 17U sample, Daughtry averaged 28.0 PTS, 6.0 AST, 5.1 REB, and 2.2 STL on 67.0% TS, leading Florida Rebels to a Peach Jam championship Daughtry's remarkable combination of shot-making and playmaking makes a compelling case for him as the best prospect in the world

Jake Wilkins impressed in Cal's exhibition game vs. LMU, finishing with 11 PTS, 5 REB (2 OREB), 2 BLK, and 3 STL in 26 minutes As a freshman, Wilkins posted a 4.3 BLK%, 3.0 STL% and 7.7 OREB%, while committing just 3.0 fouls/40 His offensive profile also offers intriguing shooting indicators, with a 77.6 FT% and 49.1 3PAr. He also possesses strong interior efficiency, posting a 71.4 close 2% and 21 dunks Wilkins has an intriguing foundation as a 2027 NBA Draft prospect given his defensive production, with his eventual outlook likely hinging on whether his shooting indicators translate into consistency

Na'Jai Hines impressed in UConn's exhibition game versus Syracuse Hines finished with 17 PTS, 8 REB (3 OREB), 2 BLK, and 1 STL in just 20 minutes This follows Hines' freshman season at Seton Hall, where he posted 15.3 OREB%, 19.9 DREB%, and 16.3 BLK% Hines' ability to extend possessions offensively while providing substantial value around the rim gives him an intriguing foundation as a lottery prospect in the 2027 NBA Draft

Brandon Hahn (@brandonhahn23) commits to Pepperdine after a productive summer with Lakeshow 3SSB Across 3SSB play, Hahn posted 28.8 PTS/70, 11.4 REB/70 and 1.81 STL/70 on 64.6% TS That production was coupled with shooting indicators of 10.3 3PA/100, 37.5% 3PAr and 78.3% FT Pepperdine lands one of the most under-recruited forwards in the country

Final audited version of my 2026 17U EYBL + 3SSB Impact Model I also wrote a short methodology piece elaborating on the construction and statistical framework behind the model 👇

I built a 2026 17U EYBL + 3SSB impact model The model begins with BPM, then the score is adjusted by shooting indicators, creation/turnover suppression, rebounding, and event creation

Baron Sabir (@BaronSabir) finished 8th in 3SSB BPM (via @neilmjohnson) despite averaging just 10.2 MPG, making him the only top-10 player to average under 20 MPG Those minutes came on a Compton Magic roster featuring 5-stars Josh Lowery, Javon Bardwell, Darius Wabbington, Yann Kamagate, & several other D1-level prospects. Compton Magic also ranked 2nd in Synergy’s Net Rating, further explaining why his role was so limited That logjam limited Sabir’s opportunity, not his impact. Across 18 games, he posted a 7.83 BPM with a .66 3PR, .61 FTr, 11.4 3PA/100, & 81.1% FT Sabir still produced 17.2 PTS, 6.0 REB (2.8 OREB), & 2.0 STL per 70 possessions. His ability to create for others remains limited, especially considering he averaged just 1.5 APG despite high usage in HS, but he committed just 1 turnover across 183 minutes in 3SSB At 6’5, the combination of 3P volume, rebounding, turnover suppression, & defensive event creation gives him several avenues to impact possessions His HS production makes it harder to dismiss this as purely a low-minute statistical outlier. Sabir averaged 24.2 PPG as a junior while shooting 40% from 3 on a .50 3PR & 87% from the line, with much of that perimeter volume self-created. He also added 5.8 RPG, 1.8 OREB/G, & 1.4 SPG He currently holds 0 offers Despite the limited sample, pairing top-10 3SSB impact with high-volume scoring, self-creation, & ancillary traits makes his lack of recruitment difficult to justify

Okorie's impact is reinforced by the on/off data That impact also shows up in Stanford’s turnover profile. With Okorie on the floor, Stanford had a 14.0% team TOV%, graded as 18th nationally. With him off, that jumped to 23.9%, graded as the worst in the nation The overall team impact was just as loud. Stanford was +17.1 in adjusted net rating with Okorie on the floor and -2.6 with him off, giving him a +19.7 adjusted on/off swing Together, the turnover influence and net rating swing capture how much of Stanford’s offensive stability was tied to Okorie’s ability to maximize every possession

Okorie’s size will still be part of the evaluation He is listed at 6’2, 185, with a rumored 6’6 wingspan. The combine measurements will matter, but there are enough functional indicators to soften the "small guard" concern He recorded 8 dunks, a 1.0 BLK%, and a 10.3 DREB% None of those indicators are major outliers on their own, but for a smaller guard, they point to useful strength, pop, and physical engagement that make the size concern more manageable

Okorie’s defense adds another layer to his projection He posted a 2.7 STL% and 1.0 BLK% while committing just 1.6 fouls per 40, which ranked in the 95th percentile. Relative to the number of events he created, his stock-to-foul ratio ranks in the 94th percentile That matters because Okorie had to carry Stanford’s offense, so his defensive deployment was more conservative than the team’s middling fouls/game profile would suggest The functional part shows up in ball screens, where he utilizes his contact balance, stays attached to handlers, and gets skinny around screens

The shooting profile is not just theoretical either Okorie shot 35.4% from 3 on a 35.4 3PAr at Stanford, while hitting 83.2% from the line As a senior across AAU and Brewster, Okorie shot 35.3% from 3 with a 45.2 3PAr while hitting 86.6% from the line That track record gives the shooting projection real stability across contexts, especially when paired with the fact that 58.7% of his 3s at Stanford were self-created