icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Green Bay Gamblers | USHL | 59 | 16 | 20 | 36 | 0.610 | 0.3886 | 0.4088 | 1.8286 | 1.9237 |
| 2012-13 | Green Bay Gamblers | USHL | 59 | 32 | 39 | 71 | 1.203 | 0.7663 | 0.7654 | 3.6062 | 3.6019 |
| 2021-22 | Iserlohn Roosters | DEL | 49 | 8 | 19 | 27 | 0.551 | — | — | — | — |
| 2022-23 | IF Björklöven | Allsvenskan | 52 | 25 | 43 | 68 | 1.308 | — | — | — | — |
| 2023-24 | IF Björklöven | Allsvenskan | 34 | 11 | 17 | 28 | 0.824 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Ohio State | D1 | BigTen | SR | 35 | 27 | 14 | 41 | 1.171 |
| 2015-16 | Ohio State | D1 | BigTen | JR | 36 | 19 | 22 | 41 | 1.139 |
| 2014-15 | Ohio State | D1 | BigTen | SO | 33 | 10 | 12 | 22 | 0.667 |
| 2013-14 | Ohio State | D1 | BigTen | FR | 37 | 13 | 13 | 26 | 0.703 |
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.