| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | North Carolina Golden Bears | EHL | 43 | 27 | 44 | 71 | 1.651 | 0.5811 | 0.6444 | 0.8096 | 0.8977 |
| 2019-20 | Brooks Bandits | AJHL | 52 | 11 | 23 | 34 | 0.654 | 0.2169 | 0.2169 | 0.6059 | 0.6059 |
| 2020-21 | Brooks Bandits | AJHL | 19 | 8 | 12 | 20 | 1.053 | 0.3493 | 0.3493 | 0.9755 | 0.9755 |
| 2021-22 | Brooks Bandits | AJHL | 45 | 23 | 68 | 91 | 2.022 | 0.6710 | 0.6247 | 1.8742 | 1.7448 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Holy Cross | D1 | AHA | SR | 23 | 6 | 13 | 19 | 0.826 |
| 2024-25 | Holy Cross | D1 | AHA | — | 34 | 11 | 20 | 31 | 0.912 |
| 2023-24 | Holy Cross | D1 | AHA | — | 5 | 1 | 2 | 3 | 0.600 |
| 2022-23 | Holy Cross | D1 | AHA | — | 38 | 7 | 11 | 18 | 0.474 |
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.