| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Lincoln Stars | USHL | 7 | 1 | 0 | 1 | 0.143 | 0.0910 | 0.0899 | 0.4282 | 0.4231 |
| 2013-14 | Lincoln Stars | USHL | 56 | 9 | 23 | 32 | 0.571 | 0.3639 | 0.3425 | 1.7123 | 1.6116 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Canisius | D1 | AHA | SR | 26 | 1 | 3 | 4 | 0.154 |
| 2017-18 | Canisius | D1 | AHA | SR | 2 | 0 | 1 | 1 | 0.500 |
| 2016-17 | Canisius | D1 | AHA | JR | 27 | 6 | 11 | 17 | 0.630 |
| 2015-16 | Canisius | D1 | AHA | SO | 21 | 1 | 2 | 3 | 0.143 |
| 2014-15 | Canisius | D1 | AHA | FR | 13 | 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.