| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | North York Rangers | OJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | — | OJHL | 44 | 4 | 11 | 15 | 0.341 | 0.0836 | 0.0883 | 0.2347 | 0.2478 |
| 2014-15 | Mississauga Chargers | OJHL | 53 | 25 | 42 | 67 | 1.264 | 0.3099 | 0.3112 | 0.8704 | 0.8741 |
| 2015-16 | Amarillo Bulls | NAHL | 56 | 16 | 29 | 45 | 0.804 | 0.2952 | 0.2902 | 0.8482 | 0.8338 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Oswego | D1 | — | SR | 24 | 4 | 10 | 14 | 0.583 |
| 2019-20 | SUNY Oswego | D3 | SUNYAC | SR | 24 | 4 | 10 | 14 | 0.583 |
| 2018-19 | Oswego | D1 | — | JR | 28 | 15 | 8 | 23 | 0.821 |
| 2018-19 | SUNY Oswego | D3 | SUNYAC | JR | 28 | 15 | 8 | 23 | 0.821 |
| 2017-18 | SUNY Oswego | D3 | SUNYAC | SO | 25 | 6 | 13 | 19 | 0.760 |
| 2016-17 | Niagara | D1 | AHA | FR | 30 | 0 | 3 | 3 | 0.100 |
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.