| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | — | NAHL | 44 | 14 | 16 | 30 | 0.682 | 0.2532 | 0.2602 | 0.7219 | 0.7417 |
| 2012-13 | — | NAHL | 51 | 7 | 10 | 17 | 0.333 | 0.1238 | 0.1210 | 0.3529 | 0.3449 |
| 2013-14 | Buffalo Jr. Sabres | OJHL | 45 | 26 | 18 | 44 | 0.978 | 0.2732 | 0.2468 | 0.6748 | 0.6096 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | SUNY Cortland | D3 | — | JR | 25 | 21 | 10 | 31 | 1.240 |
| 2015-16 | SUNY Cortland | D3 | — | SO | 25 | 13 | 16 | 29 | 1.160 |
| 2014-15 | SUNY Cortland | D3 | — | FR | 25 | 9 | 24 | 33 | 1.320 |
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.