| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Nanaimo Clippers | BCHL | 53 | 14 | 11 | 25 | 0.472 | 0.1817 | 0.1755 | 0.6873 | 0.6640 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Trinity | D3 | NESCAC | SR | 27 | 10 | 13 | 23 | 0.852 |
| 2016-17 | Trinity | D3 | NESCAC | JR | 31 | 18 | 16 | 34 | 1.097 |
| 2015-16 | Trinity | D3 | NESCAC | SO | 28 | 12 | 17 | 29 | 1.036 |
| 2014-15 | Trinity | D3 | NESCAC | FR | 29 | 10 | 11 | 21 | 0.724 |
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.