| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Seattle Thunderbirds | WHL | 2 | 0 | 1 | 1 | 0.500 | 0.2432 | 0.2668 | 1.2251 | 1.3438 |
| 2010-11 | Seattle Thunderbirds | WHL | 31 | 0 | 1 | 1 | 0.032 | 0.0157 | 0.0165 | 0.0791 | 0.0830 |
| 2011-12 | Seattle Thunderbirds | WHL | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2012-13 | Calgary Mustangs | AJHL | 57 | 6 | 19 | 25 | 0.439 | 0.1455 | 0.1415 | 0.4065 | 0.3954 |
| 2013-14 | Calgary Mustangs | AJHL | 2 | 1 | 0 | 1 | 0.500 | 0.1659 | 0.1528 | 0.4634 | 0.4267 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Lawrence | D3 | ECAC | SR | 27 | 1 | 18 | 19 | 0.704 |
| 2016-17 | Lawrence | D3 | ECAC | JR | 25 | 2 | 9 | 11 | 0.440 |
| 2015-16 | Lawrence | D3 | ECAC | SO | 26 | 3 | 5 | 8 | 0.308 |
| 2014-15 | Lawrence | D3 | ECAC | FR | 27 | 2 | 4 | 6 | 0.222 |
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.