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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | QMJHL | 65 | 29 | 33 | 62 | 0.954 | 0.4686 | 0.5150 | 2.5463 | 2.7982 |
| 2023-24 | Chicoutimi Saguenéens | QMJHL | 67 | 36 | 39 | 75 | 1.119 | 0.5500 | 0.5773 | 2.9884 | 3.1368 |
| 2024-25 | Chicoutimi Saguenéens | QMJHL | 47 | 33 | 26 | 59 | 1.255 | 0.6167 | 0.6170 | 3.3511 | 3.3527 |
| 2025-26 | Chicoutimi Saguenéens | QMJHL | 63 | 51 | 51 | 102 | 1.619 | 0.7954 | 0.7582 | 4.3221 | 4.1200 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | UMass | D1 | HockeyEast | FR | 0 | 0 | 0 | 0 | 0.000 |
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.