icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Toronto Patriots | OJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | North York Rangers | OJHL | 48 | 3 | 11 | 14 | 0.292 | 0.0715 | 0.0733 | 0.2008 | 0.2060 |
| 2022-23 | P.A.L. Junior Islanders | NCDC | 50 | 14 | 29 | 43 | 0.860 | 0.3506 | 0.3526 | 0.6913 | 0.6952 |
| 2023-24 | P.A.L. Junior Islanders | NCDC | 29 | 3 | 21 | 24 | 0.828 | 0.3374 | 0.3202 | 0.6652 | 0.6313 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Brown | D1 | ECAC | SO | 17 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Brown | D1 | ECAC | — | 12 | 0 | 1 | 1 | 0.083 |
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.