| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Caledon Admirals | OJHL | 38 | 6 | 5 | 11 | 0.289 | 0.0809 | 0.0895 | 0.1998 | 0.2211 |
| 2012-13 | — | OJHL | 52 | 7 | 11 | 18 | 0.346 | 0.0967 | 0.1022 | 0.2389 | 0.2524 |
| 2013-14 | Oakville Blades | OJHL | 38 | 7 | 6 | 13 | 0.342 | 0.0956 | 0.0961 | 0.2361 | 0.2374 |
| 2014-15 | King Rebellion | OJHL | 54 | 16 | 22 | 38 | 0.704 | 0.1966 | 0.1875 | 0.4856 | 0.4632 |
| 2015-16 | — | OJHL | 43 | 8 | 28 | 36 | 0.837 | 0.2339 | 0.2102 | 0.5778 | 0.5192 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | SUNY Cortland | D3 | — | SR | 22 | 5 | 16 | 21 | 0.955 |
| 2018-19 | SUNY Cortland | D3 | — | JR | 14 | 4 | 6 | 10 | 0.714 |
| 2017-18 | SUNY Cortland | D3 | — | SO | 18 | 3 | 8 | 11 | 0.611 |
| 2016-17 | SUNY Cortland | D3 | — | FR | 25 | 5 | 10 | 15 | 0.600 |
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.