| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Cedar Rapids RoughRiders | USHL | 60 | 4 | 19 | 23 | 0.383 | 0.2261 | 0.2269 | 1.1502 | 1.1544 |
| 2014-15 | Cedar Rapids RoughRiders | USHL | 53 | 5 | 19 | 24 | 0.453 | 0.2671 | 0.2549 | 1.3587 | 1.2968 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Yale | D1 | ECAC | SR | 30 | 3 | 5 | 8 | 0.267 |
| 2017-18 | Yale | D1 | ECAC | JR | 25 | 3 | 8 | 11 | 0.440 |
| 2016-17 | Yale | D1 | ECAC | SO | 32 | 2 | 12 | 14 | 0.438 |
| 2015-16 | Yale | D1 | ECAC | FR | 23 | 1 | 3 | 4 | 0.174 |
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.