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 | Omaha Lancers | USHL | 14 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | Omaha Lancers | USHL | 47 | 3 | 4 | 7 | 0.149 | 0.0878 | 0.0904 | 0.4468 | 0.4602 |
| 2025-26 | — | NAHL | 47 | 9 | 14 | 23 | 0.489 | 0.1798 | 0.1843 | 0.5172 | 0.5301 |
| 2026-27 | Oklahoma Warriors | NAHL | 7 | 1 | 0 | 1 | 0.143 | 0.0525 | 0.0521 | 0.1510 | 0.1498 |
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.