MLB · 11,340 games logged

MLB Umpires: what really happens in their games

Across 11,340 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

Jonathan Parra — Toronto Blue Jays @ Athletics (his games average 8.8 runs)
Brock Ballou — Houston Astros @ Philadelphia Phillies (his games average 9.4 runs)
Todd Tichenor — Colorado Rockies @ New York Yankees (his games average 8.5 runs)
Junior Valentine — Texas Rangers @ Seattle Mariners (his games average 8.7 runs)
Roberto Ortiz — Pittsburgh Pirates @ Chicago White Sox (his games average 8.6 runs)
Carlos Torres — Los Angeles Angels @ Boston Red Sox (his games average 8.9 runs)
John Libka — St. Louis Cardinals @ San Francisco Giants (his games average 9.0 runs)
Will Little — Arizona Diamondbacks @ Kansas City Royals (his games average 9.0 runs)
Manny Gonzalez — Chicago Cubs @ Milwaukee Brewers (his games average 9.0 runs)
David Rackley — Cleveland Guardians @ Baltimore Orioles (his games average 8.8 runs)
Tyler Jones — Minnesota Twins @ Detroit Tigers (his games average 9.3 runs)
Mike Muchlinski — Washington Nationals @ San Diego Padres (his games average 9.9 runs)
Malachi Moore — New York Mets @ Miami Marlins (his games average 9.7 runs)
Willie Traynor — Tampa Bay Rays @ Atlanta Braves (his games average 10.6 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%
Clint Vondrak	140	9.7	9.1	49%	93.8%
Edwin Moscoso	139	8.9	9.1	56%	94.9%
Alfonso Márquez	139	10.2	9.1	51%	93.2%
Bill Miller	139	8.8	9.1	52%	93.8%
Adam Beck	138	8.9	9.1	54%	94.5%
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	138	9.1	9.1	55%	93.8%
Mike Muchlinski	138	9.9	9.1	57%	93.7%
Adam Hamari	137	9.1	9.1	64%	94.7%
Lance Barksdale	137	8.8	9.1	55%	94.2%
Alex Tosi	136	8.9	9.1	47%	94.9%
John Libka	136	9.0	9.1	44%	94.9%
Alan Porter	136	9.2	9.1	51%	94.9%
Mark Ripperger	136	9.2	9.1	51%	94.8%
Charlie Ramos	135	9.1	9.1	52%	93.6%
Dan Merzel	135	8.9	9.1	54%	94.3%
Mike Estabrook	135	8.7	9.1	60%	93.5%
Malachi Moore	135	9.7	9.1	53%	93.0%
Dan Iassogna	134	9.3	9.1	50%	93.3%
Dan Bellino	133	9.8	9.1	53%	94.2%
Jansen Visconti	133	9.3	9.1	49%	94.8%
Gabe Morales	133	8.3	9.1	50%	94.1%
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%
James Hoye	131	9.1	9.1	50%	93.8%
Sean Barber	131	9.2	9.1	53%	93.8%
Chris Segal	131	9.0	9.1	60%	93.7%
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%
D.J. Reyburn	130	8.8	9.1	63%	93.7%
Roberto Ortiz	130	8.6	9.1	53%	93.3%
Manny Gonzalez	128	9.0	9.1	60%	93.7%
Nick Mahrley	128	8.9	9.1	48%	93.8%
Quinn Wolcott	128	9.0	9.1	52%	94.8%
Ryan Blakney	128	8.4	9.1	59%	94.0%
Stu Scheurwater	128	9.0	9.1	53%	93.6%
Todd Tichenor	128	8.5	9.1	51%	94.1%
Adrian Johnson	127	10.0	9.1	50%	93.1%
Brian Walsh	127	9.7	9.1	54%	93.5%
Marvin Hudson	127	8.8	9.1	53%	93.5%
Ryan Additon	127	9.3	9.1	48%	93.8%
Andy Fletcher	126	10.7	9.1	59%	92.8%
Chris Guccione	126	9.7	9.1	58%	93.9%
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%
Laz Diaz	125	8.7	9.1	63%	92.6%
Chad Fairchild	124	9.4	9.1	41%	93.6%
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%
Mark Wegner	122	10.0	9.1	49%	94.3%
Brian O'Nora	121	8.8	9.1	54%	92.9%
Alex MacKay	120	8.9	9.1	54%	94.4%
Cory Blaser	120	8.4	9.1	57%	93.8%
Junior Valentine	119	8.7	9.1	50%	94.5%
Derek Thomas	118	9.8	9.1	47%	95.3%
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%
CB Bucknor	105	8.2	9.1	58%	92.4%
Shane Livensparger	105	9.1	9.1	55%	94.4%
Edwin Jimenez	105	8.8	9.1	45%	94.8%
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	99	9.0	9.1	55%	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%	94.4%
Dexter Kelley	43	10.1	9.1	53%	94.4%
Jen Pawol	39	10.3	9.1	59%	92.2%
Jeff Nelson	34	10.2	9.1	56%	93.5%
David Arrieta	34	7.8	9.1	44%	93.4%
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: 2026-09-10 03:02 UTC.

See how these numbers meet tonight's prices: our free MLB pick · live MLB odds board.

Other leagues: NBA referees · WNBA referees · NHL referees · AFL umpires · Premier League referees · NFL referees · Serie A referees · La Liga referees · Bundesliga referees · Ligue 1 referees · MLS referees · today's best bets

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.

Pick your sport

Handy extras

MLB Umpires: what really happens in their games

Tonight’s plate umpires

Common questions

Get tomorrow's free pick by email

Pick your sport

Handy extras

One clear betat a time.

Almost there.

Included in Pro access

Tonight’s plate umpires

Common questions

Get tomorrow's free pick by email

One clear bet
at a time.