icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | EHL | 38 | 10 | 25 | 90.4% | 4.29 | 2 | 0.9400 | 80.2% |
| 2021-22 | — | NAHL | — | — | — | — | — | — | 0.9843 | — |
| 2020-21 | — | EHL | 26 | 8 | 14 | 89.7% | 4.85 | 0 | 0.9400 | 84.3% |
| 2020-21 | — | USHL | — | — | — | — | — | — | 0.9980 | — |
| 2019-20 | — | NCDC | 11 | 7 | 1 | 90.0% | 2.97 | 1 | 0.9400 | 84.6% |
| 2018-19 | — | NAHL | 7 | 0 | 3 | 84.7% | 4.18 | 0 | 0.9843 | 93.5% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Adrian | D3 | 5 | — | — | 94.4% | 0.86 | 0 |
| 2024-25 | Adrian | D3 | — | — | — | — | — | — |
| 2023-24 | Adrian | D3 | 1 | — | — | 100.0% | — | 0 |
| 2022-23 | Adrian | D3 | 5 | 1 | 0 | 95.7% | 0.63 | — |
Historical goalies with similar age-adjusted SVe profiles who went on to play NCAA D1.
| Name | Junior League | Junior SV% | Adj SVe | College | NCAA SV% | NCAA GAA |
|---|---|---|---|---|---|---|
| Cole Plowman | MJHL | 93.4% | 80.7% | Alaska Fairbanks | 100.0% | — |
| Ryan Keyes | NCDC | 92.6% | 79.7% | Merrimack | 92.0% | 2.22 |
| Henry Levy | BCHL | 91.8% | 80.8% | Arizona State | 100.0% | — |
| Austin Roden | BCHL | 91.2% | 81.1% | Nebraska Omaha | 90.7% | 2.87 |
| Charles-Edward Gravel | QMJHL | 91.4% | 77.9% | Mercyhurst | 90.7% | 3.22 |
Historical goalies with similar age-adjusted SVe profiles who went on to play NCAA D2/D3.
| Name | Junior League | Junior SV% | Adj SVe | College | Div | SV% | GAA |
|---|---|---|---|---|---|---|---|
| Dean Hahn | USPHL-Premier | 91.6% | 80.0% | Salem State | D3 | 88.9% | 3.95 |
| Cameron Hrdlicka | SJHL | 89.6% | 79.6% | Concordia | D3 | 89.0% | 3.97 |
| Logan Palmer | USPHL-Premier | 92.1% | 80.5% | Western New England | D3 | 90.9% | 3.11 |
| Nicholas Von Kaufmann | OJHL | 88.9% | 79.9% | Marian | D3 | 88.6% | 3.25 |
| Jacob Gorinsky | OJHL | 89.9% | 80.7% | Norwich | D3 | 83.3% | 5.00 |
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.