| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Oakville Blades | OJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | North York Rangers | OJHL | 47 | 17 | 18 | 35 | 0.745 | 0.1825 | 0.1956 | 0.5127 | 0.5495 |
| 2015-16 | Nanaimo Clippers | BCHL | 52 | 9 | 23 | 32 | 0.615 | 0.2371 | 0.2457 | 0.8956 | 0.9282 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | RPI | D1 | ECAC | SR | 34 | 8 | 14 | 22 | 0.647 |
| 2018-19 | RPI | D1 | ECAC | JR | 33 | 5 | 13 | 18 | 0.545 |
| 2017-18 | RPI | D1 | ECAC | SO | 37 | 7 | 6 | 13 | 0.351 |
| 2016-17 | RPI | D1 | ECAC | FR | 35 | 2 | 13 | 15 | 0.429 |
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.