| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Soo Eagles | NAHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | Soo Eagles | NAHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Renfrew Wolves | CCHL | 60 | 7 | 10 | 17 | 0.283 | 0.0614 | 0.0620 | 0.2192 | 0.2213 |
| 2016-17 | Amarillo Bulls | NAHL | 59 | 4 | 7 | 11 | 0.186 | 0.0685 | 0.0667 | 0.1967 | 0.1917 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Trine | D3 | NCHA | — | 15 | 2 | 0 | 2 | 0.133 |
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.