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	157	9.13	49.7%
2	Bill Miller	152	8.68	47.4%
3	Adam Hamari	151	8.76	51.0%
4	Edwin Moscoso	151	9.04	54.3%
5	Dan Bellino	150	9.55	57.3%
6	Lance Barrett	149	9.11	50.3%
7	Doug Eddings	148	8.51	41.2%
8	Nestor Ceja	148	8.45	48.0%
9	Ryan Wills	148	8.82	46.0%
10	Gabe Morales	147	8.82	48.3%
11	Nic Lentz	147	8.37	44.9%
12	Adam Beck	146	8.61	44.5%
13	Dan Iassogna	146	9.38	49.3%
14	Mark Ripperger	146	8.95	48.6%
15	Carlos Torres	145	8.87	48.3%
16	John Libka	145	8.95	46.9%
17	Lance Barksdale	145	8.74	50.3%
18	Clint Vondrak	144	9.44	45.8%
19	James Hoye	144	9.10	48.6%
20	Nick Mahrley	144	8.93	49.3%
21	Chris Segal	143	8.82	51.7%
22	Dan Merzel	143	8.56	42.0%
23	Jansen Visconti	143	8.96	53.8%
24	Alfonso Márquez	142	9.66	59.2%
25	Mike Muchlinski	142	9.41	53.5%
26	Sean Barber	142	9.13	48.6%
27	David Rackley	141	8.50	46.1%
28	Adrian Johnson	140	9.79	60.0%
29	Alan Porter	140	9.39	52.9%
30	Erich Bacchus	140	9.10	52.9%
31	Tripp Gibson	140	9.14	47.1%
32	Ben May	139	9.52	54.7%
33	Chad Fairchild	139	8.95	47.5%
34	Jordan Baker	139	9.14	54.0%
35	Quinn Wolcott	139	8.71	46.8%
36	Roberto Ortiz	139	8.49	46.8%
37	Stu Scheurwater	139	8.63	42.4%
38	Andy Fletcher	138	9.88	55.1%
39	John Tumpane	138	8.67	49.3%
40	Malachi Moore	138	9.29	50.7%
41	Todd Tichenor	138	8.77	44.9%
42	D.J. Reyburn	137	8.45	47.4%
43	Laz Diaz	137	8.52	43.8%
44	Ramon De Jesus	137	9.39	47.4%
45	Alex Tosi	136	8.88	47.1%
46	Manny Gonzalez	135	8.57	45.9%
47	Ryan Additon	135	9.28	53.3%
48	Junior Valentine	134	8.54	43.3%
49	Ryan Blakney	134	8.16	44.8%
50	Chris Guccione	133	9.48	54.1%
51	Nate Tomlinson	133	9.26	56.4%
52	Charlie Ramos	132	8.52	42.4%
53	Marvin Hudson	132	8.48	44.7%
54	Will Little	132	8.75	47.0%
55	Cory Blaser	131	7.96	43.5%
56	Bruce Dreckman	130	8.74	50.8%
57	Jeremie Rehak	130	9.15	51.5%
58	Brennan Miller	127	7.96	40.2%
59	Mike Estabrook	127	8.82	50.4%
60	Mark Wegner	125	9.86	56.8%
61	Shane Livensparger	125	8.75	51.2%
62	Jim Wolf	124	8.89	54.0%
63	Chad Whitson	123	9.00	51.2%
64	Phil Cuzzi	121	7.97	38.0%
65	Brian O'Nora	120	8.88	49.2%
66	CB Bucknor	115	8.44	47.8%
67	Hunter Wendelstedt	115	8.94	53.0%
68	Emil Jimenez	113	9.27	52.2%
69	Chris Conroy	108	8.47	47.2%
70	Rob Drake	106	8.55	49.1%
71	Scott Barry	106	9.04	43.4%
72	Alex MacKay	105	8.20	39.1%
73	Brian Walsh	102	9.44	54.9%
74	Tom Hanahan	97	9.24	58.8%
75	Paul Clemons	96	8.42	44.8%
76	Mark Carlson	90	8.86	48.9%
77	Derek Thomas	87	9.31	52.9%
78	John Bacon	87	8.30	46.0%
79	Ron Kulpa	86	8.52	43.0%
80	Edwin Jimenez	76	8.67	40.8%
81	Brock Ballou	75	8.92	49.3%
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	58	7.79	44.8%
87	Pat Hoberg	58	9.24	51.7%
88	Jeff Nelson	56	9.89	58.9%
89	Austin Jones	53	8.07	35.9%
90	James Jean	51	9.78	60.8%
91	Angel Hernandez	45	9.56	48.9%
92	Willie Traynor	44	9.93	56.8%
93	Jonathan Parra	41	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.