| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Salmon Arm Silverbacks | BCHL | 4 | 1 | 0 | 1 | 0.250 | 0.0973 | 0.1010 | 0.3646 | 0.3783 |
| 2016-17 | Melville Millionaires | SJHL | 53 | 10 | 12 | 22 | 0.415 | 0.1199 | 0.1195 | 0.3125 | 0.3115 |
| 2017-18 | Northern Cyclones | NCDC | 49 | 16 | 21 | 37 | 0.755 | 0.2128 | 0.2031 | 0.6113 | 0.5835 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | New England | D3 | — | JR | 4 | 3 | 2 | 5 | 1.250 |
| 2019-20 | New England | D3 | — | SO | 16 | 2 | 4 | 6 | 0.375 |
| 2018-19 | New England | D3 | — | FR | 30 | 10 | 4 | 14 | 0.467 |
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.