MLB · 11,323 games logged

MLB Umpires: what really happens in their games

Across 11,323 logged MLB games, the biggest scoring gap between umpires is real: games with Pat Hoberg average 10.9 runs, games with Brian Knight just 7.5 — against a league average of 9.1. Every umpire below links to their full record.

Tonight’s plate umpires

D.J. Reyburn — Athletics @ Seattle Mariners (his games average 8.9 runs)
Derek Thomas — Tampa Bay Rays @ Texas Rangers (his games average 9.8 runs)
Jacob Metz — Detroit Tigers @ Cleveland Guardians (his games average 8.7 runs)
Nestor Ceja — Milwaukee Brewers @ Cincinnati Reds (his games average 8.6 runs)
Emil Jimenez — St. Louis Cardinals @ Colorado Rockies (his games average 9.0 runs)
Ryan Blakney — Minnesota Twins @ Chicago White Sox (his games average 8.4 runs)
Dexter Kelley — Boston Red Sox @ Baltimore Orioles (his games average 10.1 runs)
Ben May — Chicago Cubs @ Miami Marlins (his games average 9.8 runs)
Dan Merzel — Toronto Blue Jays @ Kansas City Royals (his games average 8.9 runs)
Alan Porter — New York Yankees @ San Diego Padres (his games average 9.2 runs)
Ryan Additon — Atlanta Braves @ Philadelphia Phillies (his games average 9.3 runs)
Edwin Jimenez — Arizona Diamondbacks @ Houston Astros (his games average 8.8 runs)
Hunter Wendelstedt — Los Angeles Angels @ Pittsburgh Pirates (his games average 8.6 runs)
David Rackley — San Francisco Giants @ New York Mets (his games average 8.8 runs)

Umpire	Games	Avg runs	League	Home wins	Call accuracy
Vic Carapazza	143	9.3	9.1	48%	94.1%
Lance Barrett	142	9.1	9.1	45%	93.3%
Doug Eddings	141	8.7	9.1	58%	93.2%
Ryan Wills	140	9.1	9.1	49%	94.1%
Bill Miller	139	8.8	9.1	52%	93.8%
Clint Vondrak	139	9.8	9.1	48%	93.9%
Edwin Moscoso	138	8.9	9.1	56%	94.9%
Mike Muchlinski	138	9.9	9.1	57%	93.7%
Adam Beck	138	8.9	9.1	54%	94.5%
Alfonso Márquez	138	10.2	9.1	51%	93.2%
Nate Tomlinson	138	9.8	9.1	49%	94.7%
Nestor Ceja	138	8.6	9.1	56%	94.5%
Nic Lentz	138	8.9	9.1	52%	94.3%
Emil Jimenez	137	9.0	9.1	55%	93.8%
Adam Hamari	137	9.1	9.1	64%	94.7%
Lance Barksdale	136	8.8	9.1	55%	94.2%
Mark Ripperger	136	9.2	9.1	51%	94.8%
Alex Tosi	136	8.9	9.1	47%	94.9%
John Libka	136	9.0	9.1	44%	94.9%
Malachi Moore	135	9.7	9.1	53%	93.0%
Alan Porter	135	9.2	9.1	50%	94.9%
Charlie Ramos	135	9.1	9.1	52%	93.5%
Dan Merzel	135	8.9	9.1	54%	94.3%
Mike Estabrook	135	8.7	9.1	60%	93.5%
Dan Iassogna	134	9.3	9.1	50%	93.3%
Jansen Visconti	133	9.3	9.1	49%	94.8%
Dan Bellino	133	9.8	9.1	53%	94.2%
Ben May	132	9.8	9.1	54%	94.5%
Brennan Miller	132	8.6	9.1	50%	93.5%
Carlos Torres	132	8.9	9.1	58%	93.7%
Gabe Morales	132	8.3	9.1	50%	94.1%
David Rackley	131	8.8	9.1	60%	94.0%
Erich Bacchus	131	9.4	9.1	53%	94.0%
Ramon De Jesus	131	9.2	9.1	46%	93.8%
Sean Barber	131	9.2	9.1	53%	93.8%
Chris Segal	131	9.0	9.1	60%	93.7%
James Hoye	130	9.1	9.1	50%	93.9%
Roberto Ortiz	130	8.6	9.1	53%	93.3%
D.J. Reyburn	129	8.9	9.1	63%	93.7%
Quinn Wolcott	128	9.0	9.1	52%	94.8%
Manny Gonzalez	128	9.0	9.1	60%	93.7%
Nick Mahrley	128	8.9	9.1	48%	93.8%
Todd Tichenor	128	8.5	9.1	51%	94.1%
Adrian Johnson	127	10.0	9.1	50%	93.1%
Marvin Hudson	127	8.8	9.1	53%	93.5%
Brian Walsh	127	9.7	9.1	54%	93.5%
Ryan Blakney	127	8.4	9.1	58%	94.0%
Stu Scheurwater	127	9.0	9.1	53%	93.6%
Ryan Additon	127	9.3	9.1	48%	93.8%
Andy Fletcher	126	10.7	9.1	59%	92.8%
Jim Wolf	125	9.3	9.1	62%	93.8%
Tripp Gibson	125	9.5	9.1	54%	94.6%
Will Little	125	9.0	9.1	50%	94.7%
Chris Guccione	125	9.7	9.1	58%	93.9%
Laz Diaz	125	8.7	9.1	63%	92.6%
Jordan Baker	124	9.6	9.1	49%	94.1%
John Tumpane	124	8.9	9.1	48%	94.2%
Jeremie Rehak	123	9.0	9.1	61%	94.9%
Tom Hanahan	123	9.3	9.1	49%	93.9%
Chad Fairchild	123	9.4	9.1	40%	93.6%
Brian O'Nora	121	8.8	9.1	54%	92.9%
Mark Wegner	121	10.0	9.1	49%	94.3%
Alex MacKay	120	8.9	9.1	54%	94.4%
Cory Blaser	119	8.4	9.1	56%	93.8%
Junior Valentine	119	8.7	9.1	50%	94.5%
Derek Thomas	117	9.8	9.1	47%	95.4%
Bruce Dreckman	116	9.0	9.1	48%	93.1%
Paul Clemons	115	8.4	9.1	54%	94.0%
Chad Whitson	106	9.4	9.1	61%	93.9%
Edwin Jimenez	105	8.8	9.1	45%	94.9%
CB Bucknor	105	8.2	9.1	58%	92.4%
Shane Livensparger	105	9.1	9.1	55%	94.4%
John Bacon	104	8.2	9.1	58%	93.4%
Rob Drake	104	8.9	9.1	54%	92.5%
Hunter Wendelstedt	102	8.6	9.1	51%	92.8%
Phil Cuzzi	101	8.0	9.1	61%	93.9%
Scott Barry	98	9.0	9.1	54%	93.5%
Brock Ballou	92	9.4	9.1	49%	94.2%
Chris Conroy	89	8.8	9.1	56%	93.9%
Jacob Metz	87	8.7	9.1	46%	94.1%
Tony Randazzo	86	8.5	9.1	49%	93.9%
Austin Jones	81	8.7	9.1	35%	94.8%
Ron Kulpa	81	8.7	9.1	47%	92.7%
James Jean	77	10.2	9.1	56%	93.9%
Mark Carlson	71	9.1	9.1	59%	93.5%
Jonathan Parra	62	8.8	9.1	45%	93.6%
Willie Traynor	59	10.6	9.1	46%	94.1%
Jeremy Riggs	57	8.7	9.1	51%	94.6%
Brian Knight	51	7.5	9.1	39%	94.2%
Tyler Jones	48	9.3	9.1	52%	94.1%
Larry Vanover	44	9.2	9.1	45%	92.6%
Steven Jaschinski	44	9.8	9.1	50%	94.3%
Dexter Kelley	43	10.1	9.1	53%	94.4%
Jen Pawol	39	10.3	9.1	59%	92.2%
David Arrieta	34	7.8	9.1	44%	93.4%
Jeff Nelson	34	10.2	9.1	56%	93.5%
Pat Hoberg	32	10.9	9.1	41%	95.4%
Louie Krupa	27	10.4	9.1	44%	94.7%
Angel Hernandez small sample	24	9.7	9.1	50%	92.9%
Jerry Layne small sample	19	9.4	9.1	58%	92.6%
Felix Neon small sample	17	7.8	9.1	41%	—
Dillon Wilson small sample	17	10.0	9.1	41%	—
Darius Ghani small sample	17	9.1	9.1	76%	—
Macon Hammond small sample	14	7.4	9.1	50%	—
Matt Brown small sample	13	11.9	9.1	85%	—
Paul Emmel small sample	12	10.1	9.1	67%	93.4%
Chris Marco small sample	11	9.9	9.1	36%	—
Mitch Trzeciak small sample	10	10.5	9.1	40%	—
Jose Navas small sample	10	10.2	9.1	30%	93.5%
Steven Hodgins small sample	9	11.2	9.1	33%	—
Sean Sparling small sample	9	8.8	9.1	44%	—
Reed Basner small sample	9	9.4	9.1	56%	—
Pete Talkington small sample	9	12.9	9.1	44%	—
Mark Stewart Jr. small sample	9	8.7	9.1	67%	—
Bryan Van Vranken small sample	9	14.3	9.1	56%	—
Trevor Dannegger small sample	8	12.9	9.1	75%	—
Thomas Fornarola small sample	8	13.9	9.1	25%	—
Matt Blackborow small sample	8	9.4	9.1	75%	—
Charlie Welling small sample	8	10.0	9.1	50%	—
Austin Snow small sample	8	10.3	9.1	88%	—
Robert Nunez small sample	7	8.4	9.1	57%	—
Randy Rosenberg small sample	7	8.3	9.1	43%	—
Lew Williams small sample	7	10.6	9.1	43%	—
Evin Johnson small sample	6	8.7	9.1	67%	—
Denver Dangerfield small sample	5	12.2	9.1	60%	—

"Small sample" means we don't have enough of that umpire's games yet to publish a full page — the row still shows what we do have. Averages update as new games are logged. Last build: 2026-09-07 05:42 UTC.

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Common questions

Do MLB umpires really affect the score?

The numbers on this page are real averages from logged games, shown next to the league average so you can see the gap. Some of the gap is the umpire, some is the games they happen to get. Treat it as one more thing to check — not a system on its own.

Where does this data come from?

Official game records: final scores, pitch-by-pitch accuracy tracking for every logged game each umpire worked. We only publish a full page for umpires with enough games to be meaningful.

How do bettors use umpire stats?

Mostly for totals. If a umpire's games run clearly above or below the league average, that's worth knowing before you take an over or under. Check the number, then check the price.

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