icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Seattle Kraken
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Waterloo Black Hawks | USHL | 10 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | Soo Greyhounds | OHL | 39 | 7 | 33 | 40 | 1.026 | 0.5933 | 0.6417 | 2.6854 | 2.9046 |
| 2025-26 | Soo Greyhounds | OHL | 45 | 18 | 30 | 48 | 1.067 | 0.6171 | 0.6365 | 2.7930 | 2.8806 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Michigan State | D1 | BigTen | FR | 0 | 0 | 0 | 0 | 0.000 |
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.