icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Philadelphia HC 13U AAA | ayhl-13u | 18 | 7 | 21 | 28 | 1.556 | — | — | — | — |
| 2023-24 | Holy Ghost Prep | ushs-pa | 15 | 3 | 2 | 5 | 0.333 | — | — | — | — |
| 2024-25 | Seacoast Performance Academy 15U | 15u-aaa | 55 | 25 | 31 | 56 | 1.018 | — | — | — | — |
| 2025-26 | Seacoast Performance Academy 16U | 16u-aaa | 61 | 80 | 70 | 150 | 2.459 | — | — | — | — |
| 2026-27 | Omaha Lancers | USHL | 5 | 0 | 1 | 1 | 0.200 | 0.1180 | 0.1180 | 0.6001 | 0.6001 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.