| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Youngstown Phantoms | USHL | 40 | 0 | 8 | 8 | 0.200 | 0.1274 | 0.1318 | 0.5993 | 0.6200 |
| 2012-13 | Youngstown Phantoms | USHL | 62 | 8 | 32 | 40 | 0.645 | 0.4109 | 0.4032 | 1.9335 | 1.8973 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Ferris State | D1 | WCHA | SR | 37 | 2 | 15 | 17 | 0.460 |
| 2015-16 | Ferris State | D1 | WCHA | JR | 41 | 2 | 12 | 14 | 0.342 |
| 2014-15 | Ferris State | D1 | WCHA | SO | 40 | 2 | 11 | 13 | 0.325 |
| 2013-14 | Ferris State | D1 | WCHA | FR | 40 | 1 | 13 | 14 | 0.350 |
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.