| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Mid Cities Jr. Stars | NA3HL | 28 | 0 | 4 | 4 | 0.143 | 0.0182 | 0.0187 | 0.0452 | 0.0465 |
| 2015-16 | Mid Cities Jr. Stars | NA3HL | 40 | 2 | 5 | 7 | 0.175 | 0.0223 | 0.0219 | 0.0554 | 0.0543 |
| 2016-17 | Mid Cities Jr. Stars | NA3HL | 45 | 3 | 16 | 19 | 0.422 | 0.0538 | 0.0501 | 0.1335 | 0.1242 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Southern New Hampshire | D2 | NE10 | — | 0 | 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.