| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Dubuque Fighting Saints | USHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | Dubuque Fighting Saints | USHL | 59 | 13 | 13 | 26 | 0.441 | 0.2600 | 0.2646 | 1.3236 | 1.3470 |
| 2015-16 | Dubuque Fighting Saints | USHL | 58 | 17 | 20 | 37 | 0.638 | 0.3763 | 0.3655 | 1.9159 | 1.8608 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Yale | D1 | ECAC | SR | 28 | 2 | 7 | 9 | 0.321 |
| 2018-19 | Yale | D1 | ECAC | JR | 32 | 5 | 10 | 15 | 0.469 |
| 2017-18 | Yale | D1 | ECAC | SO | 31 | 10 | 7 | 17 | 0.548 |
| 2016-17 | Yale | D1 | ECAC | FR | 33 | 4 | 6 | 10 | 0.303 |
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.