| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Springfield Jr. Blues | NAHL | 46 | 0 | 6 | 6 | 0.130 | 0.0479 | 0.0514 | 0.1376 | 0.1476 |
| 2014-15 | Amarillo Wranglers | NAHL | 57 | 6 | 11 | 17 | 0.298 | 0.1096 | 0.1118 | 0.3148 | 0.3212 |
| 2016-17 | Omaha Lancers | USHL | 30 | 0 | 4 | 4 | 0.133 | 0.0786 | 0.0700 | 0.4004 | 0.3566 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Canisius | D1 | AHA | SR | 16 | 1 | 1 | 2 | 0.125 |
| 2018-19 | Brown | D1 | ECAC | SR | 22 | 0 | 1 | 1 | 0.045 |
| 2016-17 | Brown | D1 | ECAC | SO | 2 | 0 | 1 | 1 | 0.500 |
| 2015-16 | Brown | D1 | ECAC | FR | 15 | 0 | 0 | 0 | 0.000 |
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.