| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Smiths Falls Bears | CCHL | 25 | 2 | 1 | 3 | 0.120 | 0.0342 | 0.0350 | 0.0929 | 0.0952 |
| 2015-16 | Smiths Falls Bears | CCHL | 10 | 1 | 0 | 1 | 0.100 | 0.0285 | 0.0278 | 0.0774 | 0.0755 |
| 2016-17 | Vermont Lumberjacks | EHL | 47 | 22 | 31 | 53 | 1.128 | 0.2420 | 0.2325 | 0.5522 | 0.5304 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Nichols | D3 | CNE | SR | 4 | 1 | 4 | 5 | 1.250 |
| 2019-20 | Nichols | D3 | CNE | JR | 22 | 7 | 9 | 16 | 0.727 |
| 2018-19 | Nichols | D3 | CNE | SO | 26 | 6 | 3 | 9 | 0.346 |
| 2017-18 | Nichols | D3 | CNE | FR | 16 | 0 | 3 | 3 | 0.188 |
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.