| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Calgary Canucks | AJHL | 54 | 9 | 10 | 19 | 0.352 | 0.1175 | 0.1206 | 0.3267 | 0.3353 |
| 2012-13 | Calgary Canucks | AJHL | 30 | 11 | 14 | 25 | 0.833 | 0.2783 | 0.2714 | 0.7736 | 0.7543 |
| 2013-14 | — | AJHL | 54 | 21 | 23 | 44 | 0.815 | 0.2721 | 0.2512 | 0.7564 | 0.6983 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Marian | D3 | NCHA | SR | 29 | 15 | 19 | 34 | 1.172 |
| 2016-17 | Marian | D3 | NCHA | JR | 27 | 10 | 15 | 25 | 0.926 |
| 2015-16 | Marian | D3 | NCHA | SO | 28 | 9 | 25 | 34 | 1.214 |
| 2014-15 | Marian | D3 | NCHA | FR | 27 | 9 | 5 | 14 | 0.518 |
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.