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 | Rockland Nationals | CCHL | 4 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Rockland Nationals | CCHL | 54 | 23 | 26 | 49 | 0.907 | 0.1968 | 0.2019 | 0.7021 | 0.7202 |
| 2022-23 | Charlottetown Islanders | QMJHL | 68 | 18 | 33 | 51 | 0.750 | 0.3685 | 0.3533 | 2.0027 | 1.9199 |
| 2023-24 | Charlottetown Islanders | QMJHL | 55 | 17 | 23 | 40 | 0.727 | 0.3573 | 0.3249 | 1.9421 | 1.7660 |
| 2024-25 | Carleton Univ. | USports-M | 28 | 15 | 18 | 33 | 1.179 | 0.6218 | 0.6730 | 3.4545 | 3.7388 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Lindenwood | D1 | CCHA | SO | 30 | 10 | 21 | 31 | 1.033 |
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.