Most Consistent Scorer in YouTube Golf

The standard deviation of a creator's score differentials — how tightly their round-to-round performance clusters together.

Chance Taylor leads YouTube Golf in Most Consistent at 2.04, among creators with min. 8 rounds (9-hole = ½). That's 0.08 ahead of Ryan Ruffels in second place.

Rank Creator Most Consistent Rounds Avg Diff
1
Chance Taylor
Chance Taylor
2.04 15.5 rounds -5.5
2
Ryan Ruffels
Ryan Ruffels
2.12 13.5 rounds -4.8
3
Bryson DeChambeau
Bryson DeChambeau
2.21 10.5 rounds -7.0
4
Rick Shiels
Rick Shiels
2.34 11 rounds +0.2
5
Wesley Bryan
Wesley Bryan
2.38 23.5 rounds -3.6
6
Evan Thompson
Evan Thompson
2.46 11 rounds -2.4
7
Micah Morris
Micah Morris
2.59 11.5 rounds -2.3
8
Sam Heung Min
Sam Heung Min
2.66 13.5 rounds -1.3
9
Grant Horvat
Grant Horvat
2.88 26 rounds -0.7
10
Fat Perez
Fat Perez
2.98 16.5 rounds +3.6
11
Luke Kwon
Luke Kwon
3.03 15.5 rounds -1.6
12
Nick Voke
Nick Voke
3.06 9 rounds -5.8
13
Tooms
Tooms
3.13 11 rounds -4.0
14
Garrett Clark
Garrett Clark
3.29 24 rounds -1.0
15
George Bryan
George Bryan
3.31 21 rounds -2.2
16
Sean Walsh
Sean Walsh
3.31 43 rounds -3.2
17
Taco Golf
Taco Golf
3.35 8 rounds -1.7
18
Brad Dalke
Brad Dalke
3.54 33.5 rounds -4.0
19
Trent Ryan
Trent Ryan
3.66 12 rounds +16.4
20
Peter Finch
Peter Finch
3.82 19 rounds -0.5
21
Kyle Berkshire
Kyle Berkshire
4.17 8 rounds -1.2
22
Bobby Fairways
Bobby Fairways
4.69 28.5 rounds +14.3
23
Joey Cold Cuts
Joey Cold Cuts
4.83 16 rounds +12.9

Min. 8 rounds (9-hole = ½)

How This Is Calculated

The standard deviation of a creator's score differentials — how tightly their round-to-round performance clusters together, regardless of whether that cluster sits at a low number or a high one. A lower value here means a smaller gap between a creator's best and worst rounds; it says nothing about whether they're actually good, only how predictable they are, which is why it's a genuinely different question from Avg Score Differential rather than a restatement of it — the two leaderboards can, and often do, have completely different leaders. Standard deviation is also more sensitive to sample size than a simple average is, which is why this is the one leaderboard with its own higher qualifier (8.0 Round Equivalents instead of the site-wide 5.0) — a small number of rounds can look artificially consistent (or inconsistent) just by chance, and the extra rounds required help filter that out.

Full leaderboard methodology →

Last updated 4 hours ago. View all leaderboards →