icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Anaheim Ducks
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | WHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | — | WHL | 8 | 1 | 0 | 1 | 0.125 | 0.0608 | 0.0664 | 0.3067 | 0.3350 |
| 2023-24 | Everett Silvertips | WHL | 67 | 8 | 36 | 44 | 0.657 | 0.3195 | 0.3332 | 1.6113 | 1.6806 |
| 2024-25 | Everett Silvertips | WHL | 65 | 16 | 44 | 60 | 0.923 | 0.4491 | 0.4444 | 2.2650 | 2.2414 |
| 2025-26 | Everett Silvertips | WHL | 65 | 16 | 55 | 71 | 1.092 | 0.5314 | 0.5013 | 2.6802 | 2.5282 |
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.