MLB Umpire Stats

MLB Umpire Stats: Runs & Over Rates by Home-Plate Umpire

Every home-plate umpire calls a slightly different strike zone — a tighter zone means more walks, deeper counts and more runs; a generous zone speeds hitters into outs. Over a large sample that shows up as a measurably different run environment per umpire, which is why totals bettors track these numbers. The honest caveat: even a full season behind the plate is a small sample, and most of the spread you see below is noise around the league average. We use umpire tendencies as one small input to our MLB totals model — never as a betting rule on their own.

How our MLB model works →Public track record →

#	Umpire	Games	Avg total runs	Over 8.5 %
1	Vic Carapazza	160	9.06	48.8%
2	Edwin Moscoso	156	9.04	55.1%
3	Adam Hamari	155	8.85	51.0%
4	Bill Miller	155	8.72	47.7%
5	Dan Bellino	155	9.46	56.1%
6	Lance Barrett	153	9.12	50.3%
7	Nestor Ceja	153	8.59	49.0%
8	Doug Eddings	152	8.52	41.4%
9	John Libka	152	8.95	46.1%
10	Nic Lentz	152	8.41	46.7%
11	Ryan Wills	152	8.85	46.1%
12	Gabe Morales	151	8.87	48.3%
13	Adam Beck	150	8.66	44.7%
14	Carlos Torres	150	8.90	48.7%
15	Dan Iassogna	150	9.41	49.3%
16	Mark Ripperger	150	8.96	48.7%
17	Nick Mahrley	150	8.97	50.7%
18	Clint Vondrak	149	9.36	45.6%
19	James Hoye	149	9.12	49.7%
20	Lance Barksdale	149	8.71	49.7%
21	Sean Barber	148	9.11	49.3%
22	Dan Merzel	147	8.50	41.5%
23	Jansen Visconti	147	9.01	54.4%
24	Chris Segal	146	8.77	50.7%
25	David Rackley	146	8.55	46.6%
26	Alan Porter	145	9.32	51.7%
27	Alfonso Márquez	145	9.65	59.3%
28	Mike Muchlinski	145	9.45	53.8%
29	Stu Scheurwater	145	8.65	43.5%
30	Ben May	144	9.61	54.9%
31	Erich Bacchus	144	9.06	52.8%
32	Jordan Baker	144	9.14	53.5%
33	Tripp Gibson	144	9.07	46.5%
34	Andy Fletcher	143	9.89	55.2%
35	John Tumpane	143	8.81	51.0%
36	Roberto Ortiz	143	8.44	46.2%
37	Todd Tichenor	143	8.87	45.5%
38	Adrian Johnson	142	9.74	59.9%
39	Chad Fairchild	142	8.96	47.9%
40	D.J. Reyburn	142	8.37	47.2%
41	Laz Diaz	142	8.49	43.7%
42	Quinn Wolcott	142	8.68	47.2%
43	Ramon De Jesus	142	9.35	47.2%
44	Malachi Moore	141	9.42	51.1%
45	Alex Tosi	140	8.86	47.1%
46	Ryan Additon	140	9.28	54.3%
47	Junior Valentine	139	8.55	43.2%
48	Manny Gonzalez	139	8.56	45.3%
49	Ryan Blakney	139	8.27	45.3%
50	Charlie Ramos	137	8.68	43.8%
51	Chris Guccione	136	9.51	55.1%
52	Cory Blaser	136	8.07	44.9%
53	Nate Tomlinson	136	9.26	56.6%
54	Will Little	136	8.77	47.1%
55	Jeremie Rehak	134	9.10	51.5%
56	Marvin Hudson	134	8.52	45.5%
57	Bruce Dreckman	133	8.76	50.4%
58	Brennan Miller	131	7.99	40.5%
59	Mark Wegner	130	9.74	55.4%
60	Mike Estabrook	130	8.81	50.8%
61	Shane Livensparger	130	8.77	50.8%
62	Jim Wolf	128	8.88	53.9%
63	Chad Whitson	125	9.02	52.0%
64	Phil Cuzzi	121	7.97	38.0%
65	Brian O'Nora	120	8.88	49.2%
66	Emil Jimenez	118	9.43	52.5%
67	Hunter Wendelstedt	118	8.92	53.4%
68	CB Bucknor	115	8.44	47.8%
69	Rob Drake	111	8.63	49.5%
70	Alex MacKay	110	8.13	38.2%
71	Scott Barry	110	8.97	43.6%
72	Chris Conroy	109	8.49	47.7%
73	Brian Walsh	105	9.36	54.3%
74	Paul Clemons	101	8.37	45.5%
75	Tom Hanahan	101	9.34	58.4%
76	Derek Thomas	92	9.39	54.4%
77	Ron Kulpa	91	8.36	40.7%
78	John Bacon	90	8.28	45.6%
79	Mark Carlson	90	8.86	48.9%
80	Edwin Jimenez	82	8.62	42.7%
81	Brock Ballou	79	9.10	50.6%
82	Tony Randazzo	75	8.41	45.3%
83	Brian Knight	70	8.59	47.1%
84	Jeremy Riggs	69	8.41	43.5%
85	Larry Vanover	65	8.21	44.6%
86	Jacob Metz	62	7.81	45.2%
87	Pat Hoberg	58	9.24	51.7%
88	Austin Jones	56	8.11	35.7%
89	James Jean	56	9.82	60.7%
90	Jeff Nelson	56	9.89	58.9%
91	Willie Traynor	47	9.60	55.3%
92	Angel Hernandez	45	9.56	48.9%
93	Jonathan Parra	43	8.49	51.2%
94	Paul Emmel	38	8.87	47.4%
95	Jerry Layne	32	9.47	56.2%

Method: built from the finished MLB games in our own model database (2022 onwards), using the recorded home-plate assignment for each game. "Avg total runs" is the average combined final score in that umpire's games; "Over 8.5 %" is the share of his games with 9+ total runs. Umpires with fewer than 30 plate games are excluded as too thin to report.

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Frequently asked questions

Do MLB umpires really affect totals?

At the margins, yes. The strike zone is called by a human, and zone size correlates with walks, strikeouts and ultimately runs. But the effect is small compared to pitchers, lineups, weather and park — an umpire is a minor adjustment, not a handicapping shortcut.

Should I bet the over when a high-runs umpire is behind the plate?

Not on its own. Sportsbooks see the same public data, and a single season of plate games is a noisy sample — an umpire at 55% overs may just have caught high-scoring matchups. We feed umpire tendencies into our model as one small input alongside dozens of stronger signals.

Where does this data come from?

From our own game database: finished MLB games since 2017 with the home-plate umpire assignment recorded per game. It refreshes automatically as new games settle, so the table stays current through the season.