| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | St. Michael's Buzzers | OJHL | 9 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | — | OJHL | 39 | 13 | 12 | 25 | 0.641 | 0.1571 | 0.1583 | 0.4413 | 0.4448 |
| 2016-17 | Toronto Patriots | OJHL | 52 | 26 | 32 | 58 | 1.115 | 0.2734 | 0.2633 | 0.7680 | 0.7396 |
| 2017-18 | Toronto Patriots | OJHL | 54 | 52 | 48 | 100 | 1.852 | 0.4539 | 0.4153 | 1.2750 | 1.1666 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | RIT | D1 | AHA | GR | 39 | 3 | 5 | 8 | 0.205 |
| 2021-22 | RIT | D1 | AHA | SR | 35 | 1 | 1 | 2 | 0.057 |
| 2020-21 | RIT | D1 | AHA | JR | 19 | 3 | 0 | 3 | 0.158 |
| 2019-20 | RIT | D1 | AHA | SO | 22 | 1 | 4 | 5 | 0.227 |
| 2018-19 | RIT | D1 | AHA | FR | 28 | 3 | 2 | 5 | 0.179 |
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.