| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Texas Jr. Brahmas | NA3HL | 39 | 2 | 6 | 8 | 0.205 | 0.0257 | 0.0262 | 0.0648 | 0.0662 |
| 2016-17 | Texas Jr. Brahmas | NA3HL | 43 | 11 | 15 | 26 | 0.605 | 0.0759 | 0.0737 | — | — |
| 2017-18 | Texas Jr. Brahmas | NA3HL | 39 | 16 | 27 | 43 | 1.103 | 0.1384 | 0.1273 | 0.3481 | 0.3202 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | SUNY Morrisville | D3 | SUNYAC | — | 7 | 0 | 0 | 0 | 0.000 |
| 2019-20 | SUNY Morrisville | D1 | SUNYAC | SO | 25 | 3 | 1 | 4 | 0.160 |
| 2019-20 | SUNY Morrisville | D3 | SUNYAC | — | 25 | 3 | 1 | 4 | 0.160 |
| 2018-19 | SUNY Morrisville | D1 | SUNYAC | FR | 10 | 0 | 0 | 0 | 0.000 |
| 2018-19 | SUNY Morrisville | D3 | SUNYAC | — | 10 | 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.