| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Seguin Bruins | OJHL | 45 | 0 | 4 | 4 | 0.089 | 0.0248 | 0.0273 | 0.0613 | 0.0674 |
| 2012-13 | Collingwood Blues | OJHL | 33 | 0 | 2 | 2 | 0.061 | 0.0169 | 0.0162 | 0.0418 | 0.0401 |
| 2013-14 | Collingwood Blues | OJHL | 53 | 2 | 25 | 27 | 0.509 | 0.1423 | 0.1292 | 0.3515 | 0.3191 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Curry | D3 | CNE | SR | 26 | 11 | 8 | 19 | 0.731 |
| 2016-17 | Curry | D3 | CNE | JR | 26 | 4 | 13 | 17 | 0.654 |
| 2015-16 | Curry | D3 | CNE | SO | 18 | 0 | 5 | 5 | 0.278 |
| 2014-15 | Curry | D3 | CNE | FR | 20 | 1 | 7 | 8 | 0.400 |
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.