icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Benilde-St. Margaret's | USHS-MN | 13 | 1 | 0 | 1 | 0.077 | 0.0097 | 0.0097 | 0.0187 | 0.0187 |
| 2023-24 | Benilde-St. Margaret's | USHS-MN | 25 | 16 | 13 | 29 | 1.160 | 0.1469 | 0.1469 | 0.2816 | 0.2816 |
| 2024-25 | Benilde-St. Margaret's | USHS-MN | 26 | 30 | 25 | 55 | 2.115 | 0.2678 | 0.2678 | — | — |
| 2025-26 | Spruce Grove Saints | BCHL | 33 | 6 | 21 | 27 | 0.818 | 0.3153 | 0.3180 | 1.1900 | 1.2003 |
| 2026-27 | Spruce Grove Saints | BCHL | 6 | 1 | 4 | 5 | 0.833 | 0.3211 | 0.3211 | 1.2120 | 1.2120 |
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.