| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Calgary Mustangs | AJHL | 52 | 10 | 15 | 25 | 0.481 | 0.1613 | 0.1637 | 0.4449 | 0.4516 |
| 2012-13 | Calgary Mustangs | AJHL | 54 | 13 | 28 | 41 | 0.759 | 0.2547 | 0.2455 | 0.7027 | 0.6773 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Arizona State | D1 | NCHC | SR | 30 | 5 | 11 | 16 | 0.533 |
| 2016-17 | Arizona State | D1 | NCHC | JR | 22 | 3 | 9 | 12 | 0.545 |
| 2014-15 | American International | D1 | AHA | SO | 15 | 4 | 10 | 14 | 0.933 |
| 2013-14 | American International | D1 | AHA | FR | 35 | 7 | 26 | 33 | 0.943 |
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.