| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Wayzata | USHS-MN | 14 | 0 | 1 | 1 | 0.071 | 0.0088 | 0.0088 | 0.0173 | 0.0173 |
| 2022-23 | Bozeman Ice Dogs | NA3HL | 47 | 18 | 28 | 46 | 0.979 | 0.1082 | 0.1105 | 0.3101 | 0.3167 |
| 2023-24 | Navan Grads | CCHL | 9 | 0 | 1 | 1 | 0.111 | 0.0241 | 0.0232 | 0.0860 | 0.0827 |
| 2024-25 | New Jersey Bears | EHL | 45 | 19 | 33 | 52 | 1.156 | 0.1691 | 0.1607 | 0.5666 | 0.5384 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wilkes | D3 | MAC | — | 11 | 0 | 2 | 2 | 0.182 |
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.