icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Sioux City Musketeers | USHL | 52 | 1 | 12 | 13 | 0.250 | 0.1537 | 0.1613 | 0.7366 | 0.7730 |
| 2014-15 | Tri-City Storm | USHL | 56 | 10 | 32 | 42 | 0.750 | 0.4610 | 0.4611 | 2.2096 | 2.2101 |
| 2020-21 | Djurgårdens IF | SHL | 47 | 7 | 26 | 33 | 0.702 | 1.7552 | 1.7552 | — | — |
| 2023-24 | HV71 | SHL | 50 | 4 | 25 | 29 | 0.580 | 1.4500 | 1.3967 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Notre Dame | D1 | BigTen | SR | 38 | 8 | 26 | 34 | 0.895 |
| 2017-18 | Notre Dame | D1 | BigTen | JR | 40 | 5 | 19 | 24 | 0.600 |
| 2016-17 | Notre Dame | D1 | — | SO | 34 | 7 | 14 | 21 | 0.618 |
| 2015-16 | Notre Dame | D1 | — | FR | 35 | 4 | 20 | 24 | 0.686 |
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.