icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
San Jose Sharks
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Roxbury Latin | NE-Prep | 17 | 3 | 1 | 4 | 0.235 | 0.0473 | 0.0473 | 0.1076 | 0.1076 |
| 2023-24 | Vancouver Giants | WHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | Vancouver Giants | WHL | 60 | 5 | 48 | 53 | 0.883 | 0.4297 | 0.4697 | 2.1576 | 2.3585 |
| 2025-26 | Vancouver Giants | WHL | 53 | 14 | 43 | 57 | 1.075 | 0.5232 | 0.5477 | 2.6271 | 2.7500 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Denver | D1 | NCHC | 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.