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Connor Kurth Elite Prospects ↗

Position: Forward DOB: 2003-07-30 Country: USA
2022 NHL Draft Round 6, Pick #192  ·  Tampa Bay Lightning Tampa Bay Lightning
Signed Professionally

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2020-21 — USHL 52 15 26 41 0.788 0.4847 0.4847 2.3231 2.3231
2021-22 — USHL 62 35 46 81 1.306 0.8031 0.8146 3.8492 3.9043
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2024-25 Minnesota D1 BigTen JR 40 18 21 39 0.975
2023-24 Minnesota D1 BigTen SO 37 7 14 21 0.568
2022-23 Minnesota D1 BigTen FR 38 7 4 11 0.289
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.81
before college
→
Actual FR PPG
0.29
2022-23 · Minnesota
-64.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

⭐ Elite profile — high probability of D1 placement; comparable to top-end prospects
90%
NCAA D1
0%
NCAA D2/D3
10%
Pro / Other

NCAAe Rankings

D1 Comparables

Austin Cangelosi
USHL · 2012-13 · 1.14 PPG
→ Boston College (0.65 D1 FR PPG)
0.71 Strong
NCAAe PPG
Jake Guentzel
USHL · 2012-13 · 1.22 PPG
→ Nebraska Omaha (0.92 D1 FR PPG)
0.76 Elite
NCAAe PPG
Nick Schilkey
USHL · 2012-13 · 1.20 PPG
→ Ohio State (0.70 D1 FR PPG)
0.74 Strong
NCAAe PPG
Vinnie Hinostroza
USHL · 2012-13 · 1.30 PPG
→ Notre Dame (0.94 D1 FR PPG)
0.80 Elite
NCAAe PPG
Brendan Harms
USHL · 2012-13 · 1.09 PPG
→ Bemidji State (0.55 D1 FR PPG)
0.69 Strong
NCAAe PPG

D2/3 Comparables

Arkhip Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Neil Trimm
Neumann · 2003-04
1.800 Elite
actual D2/3 PPG
Filimon Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG

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.