| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Glacier Nationals | NA3HL | 42 | 4 | 13 | 17 | 0.405 | 0.0508 | 0.0577 | 0.1278 | 0.1451 |
| 2016-17 | Lone Star Brahmas | NAHL | 50 | 4 | 12 | 16 | 0.320 | 0.1176 | 0.1228 | 0.3378 | 0.3528 |
| 2017-18 | — | USHL | 55 | 3 | 10 | 13 | 0.236 | 0.1395 | 0.1344 | 0.7100 | 0.6842 |
| 2018-19 | Lone Star Brahmas | NAHL | 53 | 16 | 24 | 40 | 0.755 | 0.2773 | 0.2635 | 0.7966 | 0.7568 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Ferris State | D1 | CCHA | SR | 35 | 1 | 14 | 15 | 0.429 |
| 2021-22 | Ferris State | D1 | CCHA | JR | 36 | 4 | 8 | 12 | 0.333 |
| 2020-21 | Ferris State | D1 | WCHA | SO | 25 | 1 | 9 | 10 | 0.400 |
| 2019-20 | Ferris State | D1 | WCHA | FR | 35 | 1 | 14 | 15 | 0.429 |
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.