| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Michigan Warriors | NAHL | 7 | 1 | 1 | 2 | 0.286 | 0.1061 | 0.1128 | 0.3025 | 0.3217 |
| 2014-15 | Michigan Warriors | NAHL | 34 | 0 | 4 | 4 | 0.118 | 0.0437 | 0.0442 | 0.1245 | 0.1259 |
| 2015-16 | Kirkland Lake Gold Miners | NOJHL | 54 | 16 | 28 | 44 | 0.815 | 0.1374 | 0.1304 | 0.3385 | 0.3212 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Salem State | D3 | MASCAC | SR | 26 | 0 | 4 | 4 | 0.154 |
| 2018-19 | Salem State | D3 | MASCAC | JR | 28 | 2 | 3 | 5 | 0.179 |
| 2017-18 | Salem State | D3 | MASCAC | SO | 27 | 3 | 2 | 5 | 0.185 |
| 2016-17 | Salem State | D3 | MASCAC | FR | 28 | 4 | 4 | 8 | 0.286 |
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.