Robert Mullen

PosC

B/TR/R

Born1996-05-23

Age (2027)31

No MLB projection yet. Career stats below are historical.

Overview

A+LAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR	MLE AVG/OBP/SLG
2016	20	ROKAZL Athletics	113	.260/.366/.406	1	46	—	.186/.259/.284
2018	22	ABeloit Snappe…	19	.222/.263/.333	0	14	—	.167/.211/.222
2019	23	A+OAK	274	.280/.333/.460	10	63	—	.220/.263/.357

Contract

No contract data on file.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2013	17	ROK	DSL Athletics	—	101	90	24	6	0	1	6	15	4	1	2	267	340	367	707	100	311	15	6	320	30	—	—	—	—	—	—
2014	18	ROK	DSL Athletics	—	193	152	35	10	0	0	28	29	6	6	1	230	371	296	667	66	278	15	15	308	30	—	—	—	—	—	—
2015	19	ROK	AZL Athletics	—	91	78	18	5	1	0	11	13	1	3	0	231	333	321	654	90	277	14	12	300	31	—	—	—	—	—	—
2016	20	ROK	AZL Athletics	—	113	96	25	7	2	1	16	21	0	0	0	260	366	406	772	146	320	19	14	345	46	—	—	—	—	—	—
2018	22	A	Beloit Snappers	—	19	18	4	2	0	0	1	4	0	0	0	222	263	333	596	111	286	21	5	267	14	—	—	—	—	—	—
2019	23	A+	Stockton Ports	—	274	250	70	15	0	10	13	65	7	0	0	280	333	460	793	180	335	24	5	347	63	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	17	ROK MLE	DSL Athletics	—	101	92	16	4	0	0	4	18	4	1	2	174	240	217	457	43	213	18	4	212	30	—	—	—	—	—	—
2014	18	ROK MLE	DSL Athletics	—	193	161	24	6	0	0	19	35	6	6	1	149	263	186	450	37	179	18	10	212	30	—	—	—	—	—	—
2015	19	ROK MLE	AZL Athletics	—	91	82	15	4	1	0	7	19	1	3	0	183	256	256	512	73	217	21	8	214	31	—	—	—	—	—	—
2016	20	ROK MLE	AZL Athletics	—	113	102	19	5	1	1	10	30	0	0	0	186	259	284	543	98	241	27	9	236	46	—	—	—	—	—	—
2018	22	A MLE	Beloit Snappers	—	19	18	3	1	0	0	1	5	0	0	0	167	211	222	433	56	226	26	5	189	14	—	—	—	—	—	—
2019	23	A+ MLE	Stockton Ports	—	274	255	56	11	0	8	8	87	7	0	0	220	263	357	620	137	278	32	3	262	63	—	—	—	—	—	—
2013	17	ROK MLE	DSL Athletics	—	101	92	16	4	0	0	4	18	4	1	2	174	240	217	457	43	216	18	4	212	30	—	—	—	—	—	—
2013	17	ROK RAW	DSL Athletics	—	101	90	24	6	0	1	6	15	4	1	2	267	340	367	707	100	311	15	6	320	30	—	—	—	—	—	—
2014	18	ROK MLE	DSL Athletics	—	193	161	24	6	0	0	19	35	6	6	1	149	263	186	450	37	186	18	10	212	30	—	—	—	—	—	—
2014	18	ROK RAW	DSL Athletics	—	193	152	35	10	0	0	28	29	6	6	1	230	371	296	667	66	278	15	15	308	30	—	—	—	—	—	—
2015	19	ROK MLE	AZL Athletics	—	91	82	15	4	1	0	7	19	1	3	0	183	256	256	512	73	238	21	8	214	31	—	—	—	—	—	—
2015	19	ROK RAW	AZL Athletics	—	91	78	18	5	1	0	11	13	1	3	0	231	333	321	654	90	277	14	12	300	31	—	—	—	—	—	—
2016	20	ROK MLE	AZL Athletics	—	113	102	19	5	1	1	10	30	0	0	0	186	259	284	543	98	250	27	9	236	46	—	—	—	—	—	—
2016	20	ROK RAW	AZL Athletics	—	113	96	25	7	2	1	16	21	0	0	0	260	366	406	772	146	320	19	14	345	46	—	—	—	—	—	—
2018	22	A MLE	Beloit Snappers	—	19	18	3	1	0	0	1	5	0	0	0	167	211	222	433	56	231	26	5	189	14	—	—	—	—	—	—
2018	22	A RAW	Beloit Snappers	—	19	18	4	2	0	0	1	4	0	0	0	222	263	333	596	111	286	21	5	267	14	—	—	—	—	—	—
2019	23	A+ MLE	Stockton Ports	—	274	255	56	11	0	8	8	87	7	0	0	220	263	357	620	137	293	32	3	262	63	—	—	—	—	—	—
2019	23	A+ RAW	Stockton Ports	—	274	250	70	15	0	10	13	65	7	0	0	280	333	460	793	180	335	24	5	347	63	—	—	—	—	—	—
2013	17	ROK MLE	DSL Athletics	—	101	92	16	4	0	0	4	18	4	1	2	174	240	217	457	43	213	18	4	212	30	—	—	—	—	—	—
2014	18	ROK MLE	DSL Athletics	—	193	166	24	6	0	0	19	35	6	6	1	145	263	181	444	36	179	18	10	212	30	—	—	—	—	—	—
2015	19	ROK MLE	AZL Athletics	—	91	83	15	4	1	0	7	19	1	3	0	181	256	253	509	72	217	21	8	214	31	—	—	—	—	—	—
2016	20	ROK MLE	AZL Athletics	—	113	102	19	5	1	1	10	30	0	0	0	186	259	284	543	98	241	27	9	236	46	—	—	—	—	—	—
2018	22	A MLE	Beloit Snappers	—	19	18	3	1	0	0	1	5	0	0	0	167	211	222	433	56	226	26	5	189	14	—	—	—	—	—	—
2019	23	A+ MLE	Stockton Ports	—	274	257	56	11	0	8	8	87	7	0	0	218	263	354	617	136	278	32	3	262	63	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	791	710	133	31	2	9	49	194	18	10	3	187	257	275	532	87	241	25	6	232	43	-53	+1	+0	+14	+17	-2.2
/ 162G	—	MLE		—	650	583	109	25	2	7	40	159	15	8	2	187	257	273	530	86	241	24	6	232	43	-44	+1	+0	+12	+14	-1.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2019 A+Stockton Ports · 274 PAwOBA .342 → .262 (−80)K% 23.7% → 31.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.72%	÷1.007	×1.340	—	—	31.56%
BB% (unintentional) /PA	4.74%	÷1.075	×0.710	—	×0.998	3.13%
HBP% /PA	2.55%	—	×0.790	—	×0.998	2.01%
Singles /BIP	24.32%	÷0.992	×0.910	×0.950	×0.998	21.15%
Doubles /BIP	8.11%	÷1.036	×0.820	×0.950	×0.998	6.08%
Triples /BIP	0.00%	÷0.958	×0.760	×0.950	×0.998	0.00%
Home runs /BIP	5.41%	÷1.114	×0.920	—	×0.998	4.46%

Factors used: league row CAL. Park (home-season share, regressed): HR 123, 1B 98, 2B 107, 3B 92, K 101, BB 115 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .342 → .262; ISO .180 → .135; BABIP .335 → .278. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 ABeloit Snappers · 19 PAwOBA .260 → .189 (−71)K% 21.1% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷1.044	×1.360	—	—	27.42%
BB% (unintentional) /PA	5.26%	÷0.969	×0.690	—	—	3.75%
HBP% /PA	0.00%	—	×0.780	—	—	0.00%
Singles /BIP	14.29%	÷1.068	×0.920	—	—	12.30%
Doubles /BIP	14.29%	÷1.153	×0.830	—	—	10.28%
Triples /BIP	0.00%	÷0.994	×0.910	—	—	0.00%
Home runs /BIP	0.00%	÷0.895	×0.800	—	—	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 114, 2B 131, 3B 99, K 109, BB 94 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).

Result: wOBA .260 → .189; ISO .111 → .075; BABIP .286 → .226. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 ROKAZL Athletics · 113 PAwOBA .340 → .236 (−104)K% 18.6% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.58%	÷1.000	×1.440	—	—	26.76%
BB% (unintentional) /PA	14.16%	÷1.000	×0.620	—	×0.995	8.73%
HBP% /PA	0.00%	—	×0.720	—	×0.995	0.00%
Singles /BIP	20.00%	÷1.000	×0.820	×0.969	×0.995	15.81%
Doubles /BIP	9.33%	÷1.000	×0.720	×0.969	×0.995	6.48%
Triples /BIP	2.67%	÷1.000	×0.720	×0.969	×0.995	1.85%
Home runs /BIP	1.33%	÷1.000	×0.780	—	×0.995	1.03%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .340 → .236; ISO .146 → .101; BABIP .320 → .241. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 ROKAZL Athletics · 91 PAwOBA .293 → .214 (−79)K% 14.3% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.000	×1.440	—	—	20.57%
BB% (unintentional) /PA	12.09%	÷1.000	×0.620	—	×1.008	7.55%
HBP% /PA	1.10%	—	×0.720	—	×1.008	0.80%
Singles /BIP	18.46%	÷1.000	×0.820	×0.990	×1.008	15.10%
Doubles /BIP	7.69%	÷1.000	×0.720	×0.990	×1.008	5.53%
Triples /BIP	1.54%	÷1.000	×0.720	×0.990	×1.008	1.11%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.008	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .293 → .214; ISO .090 → .064; BABIP .277 → .217. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2014 DSLDSL Athletics · 193 PAwOBA .304 → .212 (−91)K% 15.0% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.03%	÷1.000	×1.220	—	—	18.33%
BB% (unintentional) /PA	13.99%	÷1.000	×0.700	—	×1.008	9.87%
HBP% /PA	3.11%	—	×0.700	—	×1.008	2.19%
Singles /BIP	20.33%	÷1.000	×0.680	×0.969	×1.008	13.50%
Doubles /BIP	8.13%	÷1.000	×0.600	×0.969	×1.008	4.76%
Triples /BIP	0.00%	÷1.000	×0.600	×0.969	×1.008	0.00%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .304 → .212; ISO .066 → .042; BABIP .278 → .179. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2013 DSLDSL Athletics · 101 PAwOBA .312 → .212 (−99)K% 14.9% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.85%	÷1.000	×1.220	—	—	18.12%
BB% (unintentional) /PA	5.94%	÷1.000	×0.700	—	×1.022	4.25%
HBP% /PA	3.96%	—	×0.700	—	×1.022	2.83%
Singles /BIP	22.67%	÷1.000	×0.680	×1.024	×1.022	16.14%
Doubles /BIP	8.00%	÷1.000	×0.600	×1.024	×1.022	5.03%
Triples /BIP	0.00%	÷1.000	×0.600	×1.024	×1.022	0.00%
Home runs /BIP	1.33%	÷1.000	×0.470	—	×1.022	0.64%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .312 → .212; ISO .100 → .058; BABIP .311 → .213. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).