icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Los Angeles Kings
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | OJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | — | OJHL | 37 | 5 | 7 | 12 | 0.324 | 0.0974 | 0.1014 | 0.2220 | 0.2311 |
| 2022-23 | — | USHL | 53 | 1 | 7 | 8 | 0.151 | 0.0928 | 0.0903 | 0.4446 | 0.4328 |
| 2023-24 | Muskegon Lumberjacks | USHL | 14 | 1 | 2 | 3 | 0.214 | 0.1317 | 0.1217 | 0.6314 | 0.5834 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Clarkson | D1 | ECAC | SO | 37 | 0 | 2 | 2 | 0.054 |
| 2024-25 | Clarkson | D1 | ECAC | — | 38 | 1 | 4 | 5 | 0.132 |
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.