icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Chicago Blackhawks
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | OJHL | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | — | CCHL | 41 | 2 | 9 | 11 | 0.268 | 0.0582 | 0.0661 | — | — |
| 2023-24 | Erie Otters | OHL | 54 | 0 | 7 | 7 | 0.130 | 0.0750 | 0.0796 | 0.3330 | 0.3533 |
| 2024-25 | Erie Otters | OHL | 63 | 1 | 16 | 17 | 0.270 | 0.1561 | 0.1575 | 0.6933 | 0.6997 |
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.