| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | St. Louis Bandits | NAHL | 59 | 23 | 28 | 51 | 0.864 | 0.3425 | 0.3617 | 0.9075 | 0.9583 |
| 2012-13 | Dubuque Fighting Saints | USHL | 64 | 30 | 30 | 60 | 0.938 | 0.5763 | 0.5573 | 2.7621 | 2.6711 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Yale | D1 | ECAC | — | 30 | 10 | 11 | 21 | 0.700 |
| 2015-16 | Yale | D1 | ECAC | — | 32 | 7 | 8 | 15 | 0.469 |
| 2013-14 | Yale | D1 | ECAC | — | 32 | 4 | 9 | 13 | 0.406 |
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.