| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Lansing Wolves | NA3HL | 36 | 7 | 3 | 10 | 0.278 | 0.0349 | 0.0356 | 0.0877 | 0.0895 |
| 2015-16 | — | NA3HL | 11 | 2 | 5 | 7 | 0.636 | 0.0799 | 0.0776 | 0.2009 | 0.1951 |
| 2016-17 | — | NOJHL | 22 | 6 | 7 | 13 | 0.591 | 0.0987 | 0.0905 | 0.2460 | 0.2256 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Worcester State | D3 | MASCAC | — | 2 | 0 | 0 | 0 | 0.000 |
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.