| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Streetsville Derbys (OLD) | OJHL | 49 | 16 | 21 | 37 | 0.755 | 0.2110 | 0.2216 | 0.5211 | 0.5474 |
| 2010-11 | — | OJHL | 50 | 23 | 30 | 53 | 1.060 | 0.2962 | 0.2974 | 0.7315 | 0.7343 |
| 2011-12 | Cobourg Cougars | OJHL | 47 | 25 | 32 | 57 | 1.213 | 0.3389 | 0.3252 | 0.8370 | 0.8033 |
| 2012-13 | Trenton Golden Hawks | OJHL | 45 | 10 | 24 | 34 | 0.756 | 0.2111 | 0.1921 | 0.5214 | 0.4744 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | SUNY Brockport | D3 | — | FR | 21 | 5 | 14 | 19 | 0.905 |
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.