| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | — | OJHL | 4 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2011-12 | — | OJHL | 41 | 11 | 19 | 30 | 0.732 | 0.2198 | 0.2253 | 0.5008 | 0.5133 |
| 2012-13 | — | OJHL | 51 | 24 | 43 | 67 | 1.314 | 0.3946 | 0.3848 | 0.8992 | 0.8769 |
| 2013-14 | — | OJHL | 35 | 17 | 24 | 41 | 1.171 | 0.3519 | 0.3252 | 0.8018 | 0.7410 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Canisius | D1 | AHA | SR | 32 | 13 | 17 | 30 | 0.938 |
| 2016-17 | Canisius | D1 | AHA | JR | 37 | 12 | 18 | 30 | 0.811 |
| 2015-16 | Canisius | D1 | AHA | SO | 38 | 10 | 22 | 32 | 0.842 |
| 2014-15 | Canisius | D1 | AHA | FR | 36 | 5 | 9 | 14 | 0.389 |
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.