| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Wayzata | USHS-MN | 27 | 7 | 16 | 23 | 0.852 | 0.1079 | 0.1079 | 0.2069 | 0.2069 |
| 2022-23 | Wayzata | USHS-MN | 28 | 13 | 22 | 35 | 1.250 | 0.1583 | 0.1583 | 0.3036 | 0.3036 |
| 2023-24 | St. Cloud Norsemen | NAHL | 5 | 2 | 0 | 2 | 0.400 | 0.1470 | 0.1556 | 0.4222 | 0.4470 |
| 2024-25 | Tri-City Storm | USHL | 43 | 6 | 6 | 12 | 0.279 | 0.1646 | 0.1584 | 0.8382 | 0.8066 |
| 2025-26 | Des Moines Buccaneers | USHL | 60 | 12 | 20 | 32 | 0.533 | 0.3146 | 0.2875 | 1.6017 | 1.4639 |
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.