| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Youngstown Phantoms | USHL | 58 | 2 | 8 | 10 | 0.172 | 0.1098 | 0.1105 | 0.5166 | 0.5199 |
| 2014-15 | P.A.L. Junior Islanders | USPHL-Premier-Classic | 50 | 16 | 33 | 49 | 0.980 | 0.2943 | 0.2833 | 0.8072 | 0.7769 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Canisius | D1 | AHA | SR | 36 | 6 | 18 | 24 | 0.667 |
| 2017-18 | Canisius | D1 | AHA | JR | 38 | 5 | 14 | 19 | 0.500 |
| 2016-17 | Canisius | D1 | AHA | SO | 30 | 4 | 8 | 12 | 0.400 |
| 2015-16 | Canisius | D1 | AHA | FR | 37 | 3 | 10 | 13 | 0.351 |
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.