| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Tri-City Storm | USHL | 49 | 10 | 19 | 29 | 0.592 | 0.3769 | 0.3738 | 1.7734 | 1.7586 |
| 2012-13 | Tri-City Storm | USHL | 63 | 26 | 34 | 60 | 0.952 | 0.6065 | 0.5691 | 2.8541 | 2.6783 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Union | D1 | ECAC | SR | 38 | 29 | 34 | 63 | 1.658 |
| 2015-16 | Union | D1 | ECAC | JR | 34 | 9 | 20 | 29 | 0.853 |
| 2014-15 | Union | D1 | ECAC | SO | 39 | 19 | 31 | 50 | 1.282 |
| 2013-14 | Union | D1 | ECAC | FR | 38 | 14 | 20 | 34 | 0.895 |
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.