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 | Littleton Hawks 14U AA | csdhl-14u | 28 | 13 | 18 | 31 | 1.107 | — | — | — | — |
| 2023-24 | Okanagan HA Colorado 14U AAA | 14u-aaa | 35 | 20 | 22 | 42 | 1.200 | — | — | — | — |
| 2024-25 | Okanagan HA Colorado 15U AAA | 15u-aaa | 49 | 22 | 51 | 73 | 1.490 | — | — | — | — |
| 2025-26 | Okanagan HA Colorado 16U AAA | 16u-aaa | 49 | 20 | 45 | 65 | 1.327 | — | — | — | — |
| 2026-27 | Kelowna Rockets | WHL | 5 | 0 | 1 | 1 | 0.200 | 0.0973 | 0.0973 | 0.4885 | 0.4885 |
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.