icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
San Jose Sharks
No junior season data found for this player.
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Ohio State | D1 | BigTen | — | 37 | 4 | 8 | 12 | 0.324 |
| 2024-25 | Ohio State | D1 | BigTen | — | 36 | 3 | 3 | 6 | 0.167 |
| 2023-24 | Ohio State | D1 | BigTen | — | 32 | 1 | 4 | 5 | 0.156 |
| 2022-23 | Assumption | D2 | NE10 | GR | 32 | 13 | 15 | 28 | 0.875 |
| 2021-22 | Assumption | D2 | NE10 | SR | 29 | 6 | 7 | 13 | 0.448 |
| 2020-21 | Assumption | D2 | NE10 | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Assumption | D2 | NE10 | SO | 25 | 4 | 5 | 9 | 0.360 |
| 2018-19 | Assumption | D2 | NE10 | FR | 11 | 0 | 3 | 3 | 0.273 |
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.