| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Dubuque Fighting Saints | USHL | 51 | 12 | 7 | 19 | 0.372 | 0.2372 | 0.2360 | 1.1163 | 1.1108 |
| 2012-13 | Dubuque Fighting Saints | USHL | 63 | 16 | 16 | 32 | 0.508 | 0.3234 | 0.3046 | 1.5220 | 1.4335 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Cornell | D1 | ECAC | SR | 35 | 2 | 12 | 14 | 0.400 |
| 2015-16 | Cornell | D1 | ECAC | JR | 32 | 2 | 6 | 8 | 0.250 |
| 2014-15 | Cornell | D1 | ECAC | SO | 29 | 3 | 2 | 5 | 0.172 |
| 2013-14 | Cornell | D1 | ECAC | FR | 30 | 2 | 1 | 3 | 0.100 |
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.