| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | — | DNL | 33 | 11 | 22 | 33 | 1.000 | 0.1542 | 0.1574 | 0.6470 | 0.6605 |
| 2013-14 | — | NAHL | 21 | 1 | 2 | 3 | 0.143 | 0.0566 | 0.0586 | 0.1500 | 0.1554 |
| 2014-15 | — | NAHL | 53 | 11 | 30 | 41 | 0.774 | 0.3065 | 0.3015 | 0.8122 | 0.7989 |
| 2015-16 | — | USHL | 57 | 14 | 25 | 39 | 0.684 | 0.4206 | 0.3807 | 2.0158 | 1.8246 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Clarkson | D1 | ECAC | JR | 39 | 14 | 31 | 45 | 1.154 |
| 2017-18 | Clarkson | D1 | ECAC | SO | 40 | 14 | 23 | 37 | 0.925 |
| 2016-17 | Clarkson | D1 | ECAC | FR | 39 | 8 | 13 | 21 | 0.538 |
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.