icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Youngstown Phantoms | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | Amarillo Wranglers | NAHL | 29 | 0 | 3 | 3 | 0.103 | 0.0367 | 0.0396 | — | — |
| 2014-15 | Amarillo Wranglers | NAHL | 59 | 5 | 11 | 16 | 0.271 | 0.0963 | 0.0989 | 0.2847 | 0.2924 |
| 2015-16 | Amarillo Wranglers | NAHL | 49 | 1 | 10 | 11 | 0.225 | 0.0797 | 0.0783 | 0.2357 | 0.2316 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Marian | D1 | — | JR | 24 | 0 | 4 | 4 | 0.167 |
| 2018-19 | Marian | D3 | NCHA | JR | 24 | 0 | 4 | 4 | 0.167 |
| 2017-18 | Marian | D3 | NCHA | SO | 28 | 0 | 3 | 3 | 0.107 |
| 2016-17 | Marian | D3 | NCHA | FR | 7 | 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.