icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Fargo Force | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Fargo Force | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | Coquitlam Express | BCHL | 49 | 19 | 34 | 53 | 1.082 | 0.4167 | 0.4302 | 1.5731 | 1.6239 |
| 2025-26 | Sioux Falls Stampede | USHL | 60 | 22 | 48 | 70 | 1.167 | 0.6882 | 0.6588 | 3.5009 | 3.3512 |
| 2026-27 | London Knights | OHL | 5 | 4 | 2 | 6 | 1.200 | 0.6942 | 0.6942 | 3.1421 | 3.1421 |
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.