| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Minnesota Wilderness | NAHL | 46 | 7 | 4 | 11 | 0.239 | 0.0888 | 0.0948 | 0.2532 | 0.2703 |
| 2022-23 | — | NAHL | 33 | 4 | 7 | 11 | 0.333 | 0.1238 | 0.1261 | 0.3529 | 0.3594 |
| 2023-24 | Oklahoma Warriors | NAHL | 30 | 3 | 6 | 9 | 0.300 | 0.1114 | 0.1081 | 0.3176 | 0.3083 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Geneseo | D3 | — | SO | 1 | 0 | 1 | 1 | 1.000 |
| 2024-25 | SUNY Geneseo | D3 | — | FR | 15 | 2 | 3 | 5 | 0.333 |
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.