icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | — | NAHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | Bismarck Bobcats | NAHL | 52 | 1 | 20 | 21 | 0.404 | 0.1484 | 0.1562 | — | — |
| 2025-26 | Erie Otters | OHL | 67 | 4 | 22 | 26 | 0.388 | 0.2245 | 0.2149 | 1.0162 | 0.9727 |
| 2026-27 | Erie Otters | OHL | 6 | 0 | 2 | 2 | 0.333 | 0.1928 | 0.1928 | 0.8727 | 0.8727 |
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.