icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Los Angeles Jr. Kings 13U AAA | 13u-aaa | 51 | 26 | 22 | 48 | 0.941 | — | — | — | — |
| 2022-23 | Shattuck St. Mary's 14U AAA | naphl-14u | 3 | 2 | 1 | 3 | 1.000 | — | — | — | — |
| 2023-24 | Shattuck St. Mary's 15U AAA | 15u-aaa | 57 | 18 | 16 | 34 | 0.597 | — | — | — | — |
| 2024-25 | Shattuck St. Mary's 16U AAA | 16u-aaa | 54 | 20 | 27 | 47 | 0.870 | — | — | — | — |
| 2025-26 | Shattuck St. Mary's 18U Prep | ushs-prep | 45 | 3 | 7 | 10 | 0.222 | — | — | — | — |
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.