| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Port Huron Fighting Falcons | NAHL | 50 | 10 | 6 | 16 | 0.320 | 0.1176 | 0.1192 | 0.3378 | 0.3423 |
| 2014-15 | Keystone Ice Miners | NAHL | 60 | 11 | 13 | 24 | 0.400 | 0.1470 | 0.1412 | 0.4222 | 0.4056 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Buffalo State | D3 | SUNYAC | — | 10 | 1 | 0 | 1 | 0.100 |
| 2015-16 | Buffalo State | D3 | SUNYAC | — | 25 | 2 | 11 | 13 | 0.520 |
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.