icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Pittsburgh Penguins
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | CCHL | 1 | 0 | 1 | 1 | 1.000 | 0.2169 | 0.2529 | 0.7660 | 0.8933 |
| 2023-24 | Guelph Storm | OHL | 33 | 2 | 5 | 7 | 0.212 | 0.1227 | 0.1339 | 0.5554 | 0.6063 |
| 2024-25 | Guelph Storm | OHL | 49 | 6 | 18 | 24 | 0.490 | 0.2833 | 0.2946 | 1.2825 | 1.3338 |
| 2025-26 | Guelph Storm | OHL | 56 | 7 | 28 | 35 | 0.625 | 0.3616 | 0.3579 | 1.6365 | 1.6197 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Boston College | 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.