| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Amarillo Wranglers | NAHL | 2 | 0 | 2 | 2 | 1.000 | 0.3713 | 0.4005 | 1.0588 | 1.1421 |
| 2012-13 | Cedar Rapids RoughRiders | USHL | 60 | 4 | 19 | 23 | 0.383 | 0.2441 | 0.2416 | 1.1486 | 1.1368 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Harvard | D1 | ECAC | SR | 36 | 3 | 12 | 15 | 0.417 |
| 2015-16 | Harvard | D1 | ECAC | JR | 34 | 3 | 12 | 15 | 0.441 |
| 2014-15 | Harvard | D1 | ECAC | SO | 37 | 1 | 9 | 10 | 0.270 |
| 2013-14 | Harvard | D1 | ECAC | FR | 19 | 0 | 4 | 4 | 0.210 |
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.