| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Oakville Blades | OJHL | 53 | 19 | 20 | 39 | 0.736 | 0.1803 | 0.2024 | 0.5066 | 0.5686 |
| 2016-17 | Oakville Blades | OJHL | 46 | 26 | 36 | 62 | 1.348 | 0.3303 | 0.3560 | 0.9280 | 1.0001 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Vermont | D1 | HockeyEast | SR | 13 | 1 | 2 | 3 | 0.231 |
| 2019-20 | Vermont | D1 | HockeyEast | JR | 34 | 5 | 5 | 10 | 0.294 |
| 2018-19 | Vermont | D1 | HockeyEast | SO | 32 | 2 | 2 | 4 | 0.125 |
| 2017-18 | Vermont | D1 | HockeyEast | FR | 30 | 0 | 5 | 5 | 0.167 |
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.