Raffy Lopez

PosC

B/TL/R

Born1987-10-02

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	29	AAA/AATOR	273	.288/.371/.562	16	0	99	—	.226/.283/.440
2017	29	MLBTOR	63	.222/.306/.463	4	0	110	0.9
2018	30	AAASD	202	.261/.330/.489	9	0	48	—	.181/.230/.330
2018	30	MLBSD	117	.176/.270/.284	3	1	46	0.4
2019	31	AAAATL	55	.319/.418/.532	2	0	107	—	.255/.309/.431
2020	32	No MLB games played
2021	33	No MLB games played
2022	34	No MLB games played
2023	35	No MLB games played
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR 1.3

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Barrel%49

xwOBA10

Avg EV10

Speed10

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)
2012	24	A+	Daytona Cubs	—	133	119	32	10	0	2	13	14	0	1	0	269	341	403	744	134	288	11	10	332	68	—	—	—	—	—	—
2012	24	A	Peoria Chiefs	—	138	117	31	7	1	0	17	13	0	1	0	265	358	342	700	77	290	9	12	314	61	—	—	—	—	—	—
2012	24	ROK	AZL Cubs	—	17	15	7	2	1	0	1	4	1	0	0	467	529	733	1.263	267	636	24	6	543	120	—	—	—	—	—	—
2013	25	AA	Tennessee Smokies	—	367	316	78	22	0	8	49	67	1	0	1	247	350	392	742	146	290	18	13	336	69	—	—	—	—	—	—
2014	26	AAA	Iowa Cubs	—	239	207	59	4	1	1	28	52	3	0	0	285	378	329	707	43	377	22	12	329	59	—	—	—	—	—	—
2014	26	AA	Tennessee Smokies	—	177	148	44	13	0	4	29	26	0	1	1	297	412	466	879	169	339	15	16	394	95	—	—	—	—	—	—
2015	27	AAA	Salt Lake Bees	—	246	218	58	10	1	1	25	50	0	3	1	266	342	335	676	69	337	20	10	307	42	—	—	—	—	—	—
2016	28	AAA	Louisville Bats	—	169	155	33	10	0	1	9	39	2	1	0	213	265	297	562	84	274	23	5	252	27	—	—	—	—	—	—
2017	29	MLB	Toronto Blue Jays	—	63	54	12	1	0	4	7	21	0	0	0	222	306	463	769	241	267	33	11	331	110	+1	+0	+1	+6	+1	0.9
2017	29	AAA	Buffalo Bisons	—	223	198	58	13	1	12	21	46	3	0	0	293	369	551	920	258	326	21	9	400	101	—	—	—	—	—	—
2017	29	AA	New Hampshire Fisher Cats	—	50	42	11	1	1	4	8	15	0	0	0	262	380	619	999	357	304	30	16	427	90	—	—	—	—	—	—
2018	30	MLB	San Diego Padres	—	117	102	18	2	0	3	13	43	0	1	0	176	270	284	554	108	259	37	11	253	46	-7	+0	+3	+6	+3	0.4
2018	30	AAA	El Paso Chihuahuas	—	202	180	47	12	1	9	18	56	1	0	0	261	330	489	819	228	325	28	9	355	48	—	—	—	—	—	—
2019	31	AAA	Gwinnett Stripers	—	55	47	15	4	0	2	8	12	0	0	0	319	418	532	950	213	394	22	15	419	107	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	180	156	30	3	0	7	20	64	0	1	0	192	282	346	629	154	261	36	11	280	76	-5	+0	+4	+12	+4	1.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	24	A+ MLE	Daytona Cubs	—	133	122	27	8	0	1	10	19	0	1	0	221	280	311	592	90	252	14	8	268	68	—	—	—	—	—	—
2012	24	A MLE	Peoria Chiefs	—	138	123	29	6	1	0	11	18	0	1	0	236	299	301	599	65	251	13	8	259	61	—	—	—	—	—	—
2012	24	ROK MLE	AZL Cubs	—	17	15	5	1	1	0	1	6	1	0	0	333	412	533	945	200	467	35	6	345	120	—	—	—	—	—	—
2013	25	AA MLE	Tennessee Smokies	—	367	336	71	20	0	7	29	84	1	0	1	211	276	333	609	122	260	23	8	270	69	—	—	—	—	—	—
2014	26	AAA MLE	Iowa Cubs	—	239	220	52	3	1	1	15	67	3	0	0	236	294	273	567	36	332	28	6	255	59	—	—	—	—	—	—
2014	26	AA MLE	Tennessee Smokies	—	177	160	38	10	0	3	17	32	0	1	1	237	311	356	667	119	284	18	10	308	95	—	—	—	—	—	—
2015	27	AAA MLE	Salt Lake Bees	—	246	226	46	7	1	1	17	68	0	3	1	204	259	257	516	53	277	28	7	230	42	—	—	—	—	—	—
2016	28	AAA MLE	Louisville Bats	—	169	158	28	7	0	1	6	47	2	1	0	177	217	241	457	63	244	28	4	208	27	—	—	—	—	—	—
2017	29	MLB MLE	Toronto Blue Jays	—	63	55	12	1	0	4	7	21	0	0	0	218	306	455	761	236	267	33	11	330	110	+1	+0	+1	+6	+1	0.9
2017	29	AAA MLE	Buffalo Bisons	—	223	207	49	10	1	11	12	58	3	0	0	237	288	454	742	217	270	26	5	317	101	—	—	—	—	—	—
2017	29	AA MLE	New Hampshire Fisher Cats	—	50	45	8	1	1	2	5	18	0	0	0	178	260	378	638	200	257	36	10	301	90	—	—	—	—	—	—
2018	30	MLB MLE	San Diego Padres	—	117	105	18	2	0	3	10	43	0	1	0	171	243	276	520	105	259	37	9	236	46	-7	+0	+3	+6	+3	0.4
2018	30	AAA MLE	El Paso Chihuahuas	—	202	188	34	8	1	6	11	74	1	0	0	181	230	330	560	149	240	37	5	239	48	—	—	—	—	—	—
2019	31	AAA MLE	Gwinnett Stripers	—	55	51	13	3	0	2	4	15	0	0	0	255	309	431	740	176	330	27	7	326	107	—	—	—	—	—	—
2012	24	A MLE	3 teams	—	288	261	60	15	1	1	21	42	1	2	0	230	290	307	596	77	266	15	7	268	68	—	—	—	—	—	—
2012	24	A RAW	3 teams	—	288	251	70	19	2	2	31	31	1	2	0	279	360	394	755	116	306	11	11	336	68	—	—	—	—	—	—
2013	25	AA MLE	Tennessee Smokies	—	367	336	71	20	0	7	29	84	1	0	1	211	276	333	609	122	261	23	8	270	69	—	—	—	—	—	—
2013	25	AA RAW	Tennessee Smokies	—	367	316	78	22	0	8	49	67	1	0	1	247	350	392	742	146	290	18	13	336	69	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	416	380	90	13	1	4	32	100	3	1	1	237	301	308	609	71	312	24	8	278	74	—	—	—	—	—	—
2014	26	AAA RAW	2 teams	—	416	355	103	17	1	5	57	78	3	1	1	290	393	386	779	96	360	19	14	356	74	—	—	—	—	—	—
2015	27	AAA MLE	Salt Lake Bees	—	246	226	46	7	1	1	17	68	0	3	1	204	259	257	516	53	283	28	7	230	42	—	—	—	—	—	—
2015	27	AAA RAW	Salt Lake Bees	—	246	218	58	10	1	1	25	50	0	3	1	266	342	335	676	69	337	20	10	307	42	—	—	—	—	—	—
2016	28	AAA MLE	Louisville Bats	—	169	158	28	7	0	1	6	47	2	1	0	177	217	241	457	63	241	28	4	208	27	—	—	—	—	—	—
2016	28	AAA RAW	Louisville Bats	—	169	155	33	10	0	1	9	39	2	1	0	213	265	297	562	84	274	23	5	252	27	—	—	—	—	—	—
2017	29	AAA MLE	3 teams	—	336	306	69	12	2	17	25	97	3	0	0	225	290	444	735	219	268	29	7	317	101	—	—	—	—	—	—
2017	29	AAA RAW	3 teams	—	336	294	81	15	2	20	36	82	3	0	0	276	359	544	903	269	314	24	11	391	101	—	—	—	—	—	—
2018	30	AAA MLE	2 teams	—	319	293	52	10	1	9	21	117	1	1	0	177	235	311	546	133	251	37	7	238	47	—	—	—	—	—	—
2018	30	AAA RAW	2 teams	—	319	282	65	14	1	12	31	99	1	1	0	230	308	415	723	184	303	31	10	318	47	—	—	—	—	—	—
2019	31	AAA MLE	Gwinnett Stripers	—	55	51	13	3	0	2	4	15	0	0	0	255	309	431	740	176	324	27	7	326	107	—	—	—	—	—	—
2019	31	AAA RAW	Gwinnett Stripers	—	55	47	15	4	0	2	8	12	0	0	0	319	418	532	950	213	394	22	15	419	107	—	—	—	—	—	—
2012	24	A MLE	3 teams	—	288	264	60	15	1	1	21	42	1	2	0	227	290	303	593	76	264	15	7	268	68	—	—	—	—	—	—
2013	25	AA MLE	Tennessee Smokies	—	367	334	71	20	0	7	29	84	1	0	1	213	276	335	611	123	260	23	8	270	69	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	416	378	90	13	1	4	32	100	3	1	1	238	301	310	611	71	312	24	8	278	74	—	—	—	—	—	—
2015	27	AAA MLE	Salt Lake Bees	—	246	227	46	7	1	1	17	68	0	3	1	203	259	256	515	53	277	28	7	230	42	—	—	—	—	—	—
2016	28	AAA MLE	Louisville Bats	—	169	159	28	7	0	1	6	47	2	1	0	176	217	239	456	63	244	28	4	208	27	—	—	—	—	—	—
2017	29	AAA MLE	3 teams	—	336	305	69	12	2	17	25	97	3	0	0	226	290	446	736	220	267	29	7	317	101	—	—	—	—	—	—
2018	30	AAA MLE	2 teams	—	319	294	52	10	1	9	21	117	1	1	0	177	235	310	544	133	247	37	7	238	47	—	—	—	—	—	—
2019	31	AAA MLE	Gwinnett Stripers	—	55	51	13	3	0	2	4	15	0	0	0	255	309	431	740	176	330	27	7	326	107	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	180	156	30	3	0	7	20	64	0	1	0	192	282	346	629	154	261	36	11	280	66	-5	+0	+4	+12	+4	1.4
/ 162G	—	A+C		—	650	563	108	11	0	25	72	231	0	4	0	192	282	345	626	153	261	36	11	280	66	-19	+1	+13	+42	+14	5.2
Career	—	MLE		—	2196	2011	429	87	6	42	155	570	11	8	3	213	273	325	599	112	274	26	7	266	66	-5	+0	+4	+12	+4	1.4
/ 162G	—	MLE		—	650	595	127	26	2	12	46	169	3	2	1	213	273	324	597	111	275	26	7	266	66	-19	+1	+13	+42	+14	5.2

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 AAAGwinnett Stripers · 55 PAwOBA .403 → .326 (−76)K% 21.8% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.82%	÷0.948	×1.200	—	—	27.61%
BB% (unintentional) /PA	12.73%	÷1.047	×0.690	—	×0.952	7.98%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	25.71%	÷1.038	×0.930	—	×0.952	21.94%
Doubles /BIP	11.43%	÷0.963	×0.830	—	×0.952	9.38%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.952	0.00%
Home runs /BIP	5.71%	÷0.899	×0.840	—	×0.952	5.08%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 108, 2B 93, 3B 130, K 90, BB 109 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .403 → .326; ISO .213 → .186; BABIP .394 → .330. 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 AAAEl Paso Chihuahuas · 202 PAwOBA .345 → .239 (−106)K% 27.7% → 36.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.72%	÷0.983	×1.290	—	—	36.39%
BB% (unintentional) /PA	7.92%	÷0.986	×0.710	—	×0.962	5.49%
HBP% /PA	0.50%	—	×0.980	—	×0.962	0.47%
Singles /BIP	20.16%	÷1.032	×0.900	×0.950	×0.962	16.08%
Doubles /BIP	9.68%	÷1.098	×0.810	×0.950	×0.962	6.53%
Triples /BIP	0.81%	÷1.150	×0.810	×0.950	×0.962	0.52%
Home runs /BIP	7.26%	÷1.045	×0.780	—	×0.962	5.21%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 106, 2B 120, 3B 130, K 97, BB 97 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .345 → .239; ISO .228 → .150; BABIP .325 → .240. 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).

2017 AAABuffalo Bisons · 223 PAwOBA .387 → .317 (−70)K% 20.6% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.63%	÷0.950	×1.200	—	—	26.05%
BB% (unintentional) /PA	8.52%	÷1.027	×0.690	—	×0.972	5.56%
HBP% /PA	1.35%	—	×0.940	—	×0.972	1.23%
Singles /BIP	21.05%	÷1.021	×0.930	×0.950	×0.972	17.71%
Doubles /BIP	8.55%	÷0.940	×0.830	×0.950	×0.972	6.97%
Triples /BIP	0.66%	÷0.961	×0.970	×0.950	×0.972	0.61%
Home runs /BIP	7.89%	÷0.903	×0.840	—	×0.972	7.14%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 104, 2B 88, 3B 92, K 90, BB 106 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .387 → .317; ISO .258 → .224; BABIP .326 → .270. 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).

2017 AANew Hampshire Fisher Cats · 50 PAwOBA .415 → .301 (−114)K% 30.0% → 36.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.00%	÷1.007	×1.220	—	—	36.36%
BB% (unintentional) /PA	16.00%	÷0.995	×0.700	—	×0.948	10.68%
HBP% /PA	0.00%	—	×0.850	—	×0.948	0.00%
Singles /BIP	18.52%	÷1.024	×0.970	—	×0.948	16.63%
Doubles /BIP	3.70%	÷1.024	×0.860	—	×0.948	2.95%
Triples /BIP	3.70%	÷0.900	×0.950	—	×0.948	3.71%
Home runs /BIP	14.81%	÷1.165	×0.780	—	×0.948	9.41%

Factors used: league row EL. Park (home-season share, regressed): HR 133, 1B 105, 2B 105, 3B 80, K 101, BB 99 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .415 → .301; ISO .357 → .243; BABIP .304 → .257. 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 AAALouisville Bats · 169 PAwOBA .248 → .208 (−40)K% 23.1% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.08%	÷0.984	×1.200	—	—	28.13%
BB% (unintentional) /PA	5.33%	÷0.978	×0.690	—	×0.982	3.69%
HBP% /PA	1.18%	—	×0.940	—	×0.982	1.09%
Singles /BIP	18.97%	÷0.952	×0.930	×0.989	×0.982	17.99%
Doubles /BIP	8.62%	÷1.053	×0.830	×0.989	×0.982	6.60%
Triples /BIP	0.00%	÷1.150	×0.970	×0.989	×0.982	0.00%
Home runs /BIP	0.86%	÷0.882	×0.840	—	×0.982	0.81%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 90, 2B 111, 3B 130, K 97, BB 96 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .248 → .208; ISO .084 → .066; BABIP .274 → .244. 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 AAASalt Lake Bees · 246 PAwOBA .302 → .230 (−72)K% 20.3% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.33%	÷0.952	×1.290	—	—	27.56%
BB% (unintentional) /PA	10.16%	÷1.025	×0.710	—	×0.992	6.98%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	27.38%	÷1.012	×0.900	×0.950	×0.992	22.94%
Doubles /BIP	5.95%	÷1.001	×0.810	×0.950	×0.992	4.54%
Triples /BIP	0.60%	÷0.987	×0.810	×0.950	×0.992	0.46%
Home runs /BIP	0.60%	÷0.980	×0.780	—	×0.992	0.47%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 102, 2B 100, 3B 97, K 90, BB 105 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .302 → .230; ISO .069 → .051; BABIP .337 → .277. 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 AAAIowa Cubs · 239 PAwOBA .319 → .255 (−65)K% 21.8% → 28.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.76%	÷0.996	×1.290	—	—	28.18%
BB% (unintentional) /PA	11.30%	÷1.249	×0.710	—	×1.003	6.44%
HBP% /PA	1.26%	—	×0.980	—	×1.003	1.23%
Singles /BIP	34.19%	÷1.021	×0.900	×1.015	×1.003	30.69%
Doubles /BIP	2.58%	÷1.111	×0.810	×1.015	×1.003	1.92%
Triples /BIP	0.65%	÷1.150	×0.810	×1.015	×1.003	0.46%
Home runs /BIP	0.65%	÷0.929	×0.780	—	×1.003	0.54%

Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 104, 2B 122, 3B 130, K 99, BB 150 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .319 → .255; ISO .043 → .033; BABIP .377 → .332. 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 AATennessee Smokies · 177 PAwOBA .375 → .308 (−67)K% 14.7% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.69%	÷0.980	×1.220	—	—	18.28%
BB% (unintentional) /PA	13.56%	÷0.948	×0.680	—	×0.978	9.51%
HBP% /PA	0.00%	—	×0.840	—	×0.978	0.00%
Singles /BIP	22.13%	÷0.958	×0.920	×0.950	×0.978	19.75%
Doubles /BIP	10.66%	÷1.140	×0.910	×0.950	×0.978	7.90%
Triples /BIP	0.00%	÷1.065	×0.880	×0.950	×0.978	0.00%
Home runs /BIP	3.28%	÷1.009	×0.800	—	×0.978	2.54%

Factors used: league row SL. Park (home-season share, regressed): HR 102, 1B 92, 2B 128, 3B 113, K 96, BB 90 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .375 → .308; ISO .169 → .134; BABIP .339 → .284. 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).