| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Buffalo Jr. Sabres | OJHL | 35 | 2 | 11 | 13 | 0.371 | 0.0910 | 0.0914 | 0.2557 | 0.2569 |
| 2013-14 | Buffalo Jr. Sabres | OJHL | 50 | 2 | 13 | 15 | 0.300 | 0.0735 | 0.0701 | 0.2065 | 0.1969 |
| 2014-15 | Buffalo Jr. Sabres | OJHL | 51 | 4 | 15 | 19 | 0.372 | 0.0913 | 0.0824 | 0.2565 | 0.2314 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Fredonia | D3 | SUNYAC | SO | 26 | 2 | 7 | 9 | 0.346 |
| 2015-16 | Fredonia | D3 | SUNYAC | FR | 16 | 0 | 5 | 5 | 0.312 |
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.