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 | — | WHL | 5 | 0 | 1 | 1 | 0.200 | 0.0973 | 0.1118 | 0.4885 | 0.5614 |
| 2022-23 | — | WHL | 62 | 3 | 8 | 11 | 0.177 | 0.0863 | 0.0952 | 0.4333 | 0.4778 |
| 2023-24 | Vancouver Giants | WHL | 62 | 7 | 20 | 27 | 0.435 | 0.2119 | 0.2232 | 1.0638 | 1.1206 |
| 2024-25 | Vancouver Giants | WHL | 66 | 6 | 30 | 36 | 0.545 | 0.2654 | 0.2654 | 1.3325 | 1.3325 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Colorado College | D1 | NCHC | SO | 0 | 0 | 0 | 0 | 0.000 |
| 2025-26 | Colorado College | D1 | NCHC | FR | 29 | 3 | 8 | 11 | 0.379 |
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.