| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Alberni Valley Bulldogs | BCHL | 60 | 14 | 28 | 42 | 0.700 | 0.2607 | 0.2950 | 1.0200 | 1.1540 |
| 2012-13 | Alberni Valley Bulldogs | BCHL | 51 | 19 | 38 | 57 | 1.118 | 0.4163 | 0.4513 | 1.6285 | 1.7655 |
| 2013-14 | Green Bay Gamblers | USHL | 56 | 10 | 28 | 38 | 0.679 | 0.4171 | 0.4226 | 1.9993 | 2.0257 |
| 2014-15 | Alberni Valley Bulldogs | BCHL | 19 | 8 | 25 | 33 | 1.737 | 0.6470 | 0.6414 | 2.5307 | 2.5086 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | RPI | D1 | ECAC | JR | 36 | 6 | 9 | 15 | 0.417 |
| 2016-17 | RPI | D1 | ECAC | SO | 32 | 7 | 21 | 28 | 0.875 |
| 2015-16 | RPI | D1 | ECAC | FR | 6 | 1 | 6 | 7 | 1.167 |
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.