Tom Murphy — OGILVIE

Tom MurphyC San Francisco Giants

Age 35 R/R 6'0" / 218 lbs MLB HR -15%H -3% Svc 11.000 · Ctrl thru 2026

2026 ROS PROJECTION0 act + 0 ros · stats below = ROS only

showingROS

wRC+†123

AVG/OBP/SLG.364 / .417 / .727

PA12

HR1

K%25

BB%8

BABIP291

ISO364

MLB%100%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractPOW 68

Toolsscout grade · Statcast %ile · 2022-2024

CONTACT—

Whiff%

1714.8%

xAVG

410.244

POWER68

Barrel%

9014.8

Avg EV

6390.0

Bat Spd

6072.4

EYE51

Chase%

4931.8%

SPEED41

Sprint

2226.1

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status FA

MLB Debut 2015

Service 11.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext / FA-deal	$0.4M	+0.1	$0.2M	-$0.1M
Totals		$0.4M		$0.2M	-$0.1M

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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 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 below FG-DC by 1-3 WAR.

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	22	AA	Tulsa Drillers	—	74	69	20	5	0	3	4	16	1	0	0	290	338	493	831	203	340	22	5	366	134	+3	+0	—	—	+2	0.5
2013	22	A	Asheville Tourists	—	341	288	83	26	2	19	37	87	10	4	5	288	388	590	978	302	346	26	11	416	168	+27	-1	—	—	+7	3.4
2014	23	AA	Tulsa Drillers	—	109	94	20	4	0	5	14	27	1	0	0	213	321	415	736	202	242	25	13	330	110	+1	+0	—	—	+2	0.4
2015	24	MLB	Colorado Rockies	—	39	35	9	1	0	3	4	10	0	0	0	257	333	543	876	286	273	26	10	381	144	+2	+0	-2	+8	+1	1.0
2015	24	AAA	Albuquerque Isotopes	—	136	129	35	9	2	7	5	43	1	0	1	271	304	535	839	264	350	32	4	360	130	+5	-0	—	—	+3	0.8
2015	24	AA	New Britain Rock Cats	—	294	265	65	17	1	13	23	80	5	5	2	245	317	464	782	219	301	27	8	343	119	+7	+0	—	—	+6	1.3
2016	25	MLB	Colorado Rockies	—	49	44	12	2	0	5	4	19	1	1	0	273	347	659	1.006	386	350	39	8	429	176	+4	+0	+1	+7	+1	1.4
2016	25	AAA	Albuquerque Isotopes	—	322	303	99	26	7	19	16	78	1	1	1	327	361	647	1.008	320	386	24	5	431	178	+30	-0	—	—	+7	3.7
2017	26	MLB	Colorado Rockies	—	26	24	1	1	0	0	2	9	0	0	0	42	115	83	199	42	67	35	8	103	-44	-4	+0	+1	+3	+1	-0.0
2017	26	AAA	Albuquerque Isotopes	—	154	141	36	10	1	4	9	56	3	0	0	255	314	426	739	170	390	36	6	326	107	+1	+0	—	—	+3	0.5
2018	27	MLB	Colorado Rockies	—	96	93	21	7	1	2	3	44	0	0	1	226	250	387	637	161	404	46	3	279	75	-3	-0	+1	+6	+2	0.7
2018	27	AAA	Albuquerque Isotopes	—	264	236	61	16	3	17	22	76	5	4	2	258	335	568	902	309	306	29	8	388	149	+15	+0	—	—	+6	2.1
2019	28	MLB	Seattle Mariners	—	281	260	71	12	1	18	19	87	1	2	0	273	325	535	860	262	340	31	7	372	138	+13	+0	+12	+5	+6	3.7
2021	30	MLB	Seattle Mariners	—	325	277	56	8	0	11	40	99	2	0	0	202	304	350	655	148	265	30	12	295	86	-5	+0	+1	+6	+7	0.9
2022	31	MLB	Seattle Mariners	—	42	33	10	2	0	1	8	13	0	0	0	303	429	455	883	152	474	31	19	394	153	+3	+0	+1	+1	+1	0.5
2023	32	MLB	Seattle Mariners	—	159	145	42	12	0	8	10	44	1	0	0	290	338	538	876	248	358	28	6	375	140	+8	+0	-4	+3	+3	1.0
2024	33	MLB	San Francisco Giants	—	38	34	4	1	0	1	4	14	0	0	0	118	211	235	446	118	158	37	11	210	28	-3	+0	-3	+1	+1	-0.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1055	945	226	46	2	49	94	339	5	3	1	239	310	448	757	208	314	32	9	332	111	+14	+0	+8	+40	+23	8.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	22	AA MLE	Tulsa Drillers	—	74	70	18	5	0	2	3	20	1	0	0	257	297	414	712	157	310	27	4	288	81	-2	+0	—	—	+2	-0.0
2013	22	A MLE	Asheville Tourists	—	341	301	58	15	2	11	24	124	10	4	5	193	275	365	640	173	264	36	7	271	70	-12	-1	—	—	+7	-0.6
2014	23	AA MLE	Tulsa Drillers	—	109	99	17	3	0	4	9	33	1	0	0	172	248	323	571	152	214	30	8	260	62	-5	+0	—	—	+2	-0.3
2015	24	MLB MLE	Colorado Rockies	—	39	35	9	1	0	3	4	10	0	0	0	257	333	543	876	286	273	26	10	336	113	+1	+0	-2	+8	+1	0.8
2015	24	AAA MLE	Albuquerque Isotopes	—	136	131	25	6	2	4	3	58	1	0	1	191	215	359	574	168	290	43	2	243	51	-8	-0	—	—	+3	-0.6
2015	24	AA MLE	New Britain Rock Cats	—	294	272	50	13	1	8	16	100	5	5	2	184	242	327	570	143	254	34	5	252	57	-15	+0	—	—	+6	-0.9
2016	25	MLB MLE	Colorado Rockies	—	49	44	11	2	0	4	4	19	1	1	0	250	327	568	895	318	350	39	8	395	153	+3	+0	+1	+7	+1	1.3
2016	25	AAA MLE	Albuquerque Isotopes	—	322	309	70	18	4	11	11	106	1	1	1	227	255	417	673	191	309	33	3	290	82	-7	-0	—	—	+7	0.0
2017	26	MLB MLE	Colorado Rockies	—	26	24	1	1	0	0	2	9	0	0	0	42	115	83	199	42	67	35	8	72	-65	-5	+0	+1	+3	+1	-0.1
2017	26	AAA MLE	Albuquerque Isotopes	—	154	144	24	6	1	2	6	76	3	0	0	167	216	264	480	97	317	49	4	212	30	-13	+0	—	—	+3	-1.0
2018	27	MLB MLE	Colorado Rockies	—	96	93	20	6	1	2	3	44	0	0	1	215	240	366	605	151	404	46	3	250	55	-5	-0	+1	+6	+2	0.4
2018	27	AAA MLE	Albuquerque Isotopes	—	264	243	43	12	2	10	15	100	5	4	2	177	240	366	606	189	240	38	6	261	63	-12	+0	—	—	+6	-0.6
2019	28	MLB MLE	Seattle Mariners	—	281	260	71	12	1	18	19	87	1	2	0	273	325	535	860	262	340	31	7	374	139	+13	+0	+12	+5	+6	3.7
2021	30	MLB MLE	Seattle Mariners	—	325	280	56	8	0	11	40	99	2	0	0	200	304	346	651	146	265	30	12	295	86	-5	+0	+1	+6	+7	0.8
2022	31	MLB MLE	Seattle Mariners	—	42	34	10	2	0	1	8	13	0	0	0	294	429	441	870	147	474	31	19	393	152	+3	+0	+1	+1	+1	0.5
2023	32	MLB MLE	Seattle Mariners	—	159	146	42	12	0	8	10	44	1	0	0	288	338	534	872	247	358	28	6	376	141	+8	+0	-4	+3	+3	1.0
2024	33	MLB MLE	San Francisco Giants	—	38	34	4	1	0	1	4	14	0	0	0	118	211	235	446	118	158	37	11	213	31	-3	+0	-3	+1	+1	-0.4
2013	22	A MLE	2 teams	—	415	372	76	20	2	13	26	144	11	4	5	204	276	374	650	169	289	35	6	274	72	—	—	—	—	—	—
2013	22	A RAW	2 teams	—	415	357	103	31	2	22	41	103	11	4	5	289	379	571	950	283	345	25	10	407	72	—	—	—	—	—	—
2014	23	AA MLE	Tulsa Drillers	—	109	99	17	3	0	4	9	33	1	0	0	172	248	323	571	152	210	30	8	260	62	—	—	—	—	—	—
2014	23	AA RAW	Tulsa Drillers	—	109	94	20	4	0	5	14	27	1	0	0	213	321	415	736	202	242	25	13	330	62	—	—	—	—	—	—
2015	24	AA MLE	3 teams	—	469	438	83	20	2	15	23	168	6	5	3	189	240	347	587	158	265	36	5	256	60	—	—	—	—	—	—
2015	24	AA RAW	3 teams	—	469	429	109	27	3	23	32	133	6	5	3	254	315	492	807	238	313	28	7	351	60	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	371	353	82	20	4	16	15	125	2	2	1	232	268	448	715	215	310	34	4	304	92	—	—	—	—	—	—
2016	25	AAA RAW	2 teams	—	371	347	111	28	7	24	20	97	2	2	1	320	359	648	1.008	329	383	26	5	430	92	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	180	168	25	7	1	2	8	85	3	0	0	149	201	238	439	89	280	47	4	192	16	—	—	—	—	—	—
2017	26	AAA RAW	2 teams	—	180	165	37	11	1	4	11	65	3	0	0	224	285	376	661	152	340	36	6	294	16	—	—	—	—	—	—
2018	27	AAA MLE	2 teams	—	360	336	62	18	3	12	18	144	5	4	3	185	237	363	600	179	276	40	5	258	61	—	—	—	—	—	—
2018	27	AAA RAW	2 teams	—	360	329	82	23	4	19	25	120	5	4	3	249	312	517	829	267	330	33	7	359	61	—	—	—	—	—	—
2019	28	MLB MLE	Seattle Mariners	—	281	260	71	12	1	18	19	87	1	2	0	273	325	535	860	262	340	31	7	374	139	+13	+0	+12	+5	+6	3.7
2019	28	MLB RAW	Seattle Mariners	—	281	260	71	12	1	18	19	87	1	2	0	273	325	535	860	262	340	31	7	372	139	+13	+0	+12	+5	+6	3.7
2021	30	MLB MLE	Seattle Mariners	—	325	280	56	8	0	11	40	99	2	0	0	200	304	346	651	146	260	30	12	295	86	-5	+0	+1	+6	+7	0.8
2021	30	MLB RAW	Seattle Mariners	—	325	277	56	8	0	11	40	99	2	0	0	202	304	350	655	148	265	30	12	295	86	-5	+0	+1	+6	+7	0.8
2022	31	MLB MLE	Seattle Mariners	—	42	34	10	2	0	1	8	13	0	0	0	294	429	441	870	147	450	31	19	393	152	+3	+0	+1	+1	+1	0.5
2022	31	MLB RAW	Seattle Mariners	—	42	33	10	2	0	1	8	13	0	0	0	303	429	455	883	152	474	31	19	394	152	+3	+0	+1	+1	+1	0.5
2023	32	MLB MLE	Seattle Mariners	—	159	146	42	12	0	8	10	44	1	0	0	288	338	534	872	247	354	28	6	376	141	+8	+0	-4	+3	+3	1.0
2023	32	MLB RAW	Seattle Mariners	—	159	145	42	12	0	8	10	44	1	0	0	290	338	538	876	248	358	28	6	375	141	+8	+0	-4	+3	+3	1.0
2024	33	MLB MLE	San Francisco Giants	—	38	34	4	1	0	1	4	14	0	0	0	118	211	235	446	118	158	37	11	213	31	-3	+0	-3	+1	+1	-0.4
2024	33	MLB RAW	San Francisco Giants	—	38	34	4	1	0	1	4	14	0	0	0	118	211	235	446	118	158	37	11	210	31	-3	+0	-3	+1	+1	-0.4
2013	22	A MLE	2 teams	—	415	375	76	20	2	13	26	144	11	4	5	203	276	371	647	168	272	35	6	274	72	—	—	—	—	—	—
2014	23	AA MLE	Tulsa Drillers	—	109	98	17	3	0	4	9	33	1	0	0	173	248	327	574	153	214	30	8	260	62	—	—	—	—	—	—
2015	24	AA MLE	3 teams	—	469	437	83	20	2	15	23	168	6	5	3	190	240	348	588	158	266	36	5	256	60	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	371	351	82	20	4	16	15	125	2	2	1	234	268	450	718	217	314	34	4	304	92	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	180	167	25	7	1	2	8	85	3	0	0	150	201	240	441	90	281	47	4	192	16	—	—	—	—	—	—
2018	27	AAA MLE	2 teams	—	360	334	62	18	3	12	18	144	5	4	3	186	237	365	602	180	284	40	5	258	61	—	—	—	—	—	—
2019	28	MLB MLE	Seattle Mariners	—	281	259	71	12	1	18	19	87	1	2	0	274	325	537	862	263	340	31	7	374	139	—	—	—	—	—	—
2021	30	MLB MLE	Seattle Mariners	—	325	280	56	8	0	11	40	99	2	0	0	200	304	346	651	146	265	30	12	295	86	—	—	—	—	—	—
2022	31	MLB MLE	Seattle Mariners	—	42	34	10	2	0	1	8	13	0	0	0	294	429	441	870	147	474	31	19	393	152	—	—	—	—	—	—
2023	32	MLB MLE	Seattle Mariners	—	159	147	42	12	0	8	10	44	1	0	0	286	338	531	868	245	358	28	6	376	141	—	—	—	—	—	—
2024	33	MLB MLE	San Francisco Giants	—	38	34	4	1	0	1	4	14	0	0	0	118	211	235	446	118	158	37	11	213	31	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	32	MLB MLE	Seattle Mariners	—	159	147	42	12	0	8	10	44	1	0	0	286	338	531	868	245	358	28	6	376	141	—	—	—	—	—	—
2024	33	MLB MLE	San Francisco Giants	—	38	34	4	1	0	1	4	14	0	0	0	118	211	235	446	118	158	37	11	213	31	—	—	—	—	—	—
▸ 2026 season
2026	35	MLB MLE	SF	100%	12	11	4	1	0	1	1	3	0	0	0	364	417	727	1.144	364	297	25	8	350	123	+0	+0	-0	+0	+0	0.7
▸ 2026 — real world (MLB)
2026	35	MLB CTX	SF	100%	12	11	4	1	0	1	1	3	0	0	0	364	417	727	1.144	364	291	25	8	333	123	+0	+0	-0	+0	+0	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	36	MLB MLE	SF	82%	80	72	17	3	0	4	7	20	1	1	0	236	312	444	757	208	288	25	9	336	114	+1	+0	-8	+1	+2	-0.3
2027	36	MLB CTX	SF	82%	66	60	14	3	0	3	5	17	1	1	0	233	303	433	736	200	281	26	8	320	114	+1	+0	-6	+1	+1	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1121	1005	240	49	2	52	99	356	6	4	1	239	309	447	756	208	312	32	9	331	81	+15	+0	+2	+41	+24	8.3
/ 162G	—	A+C		—	650	583	138	28	1	30	57	206	3	2	1	237	306	443	749	206	309	32	9	331	81	+9	+0	+1	+24	+14	4.8
Career	—	MLE		—	2841	2603	549	127	13	106	188	979	33	18	12	211	273	392	665	181	289	34	7	288	81	+15	+0	+0	+41	+25	8.4
/ 162G	—	MLE		—	650	596	125	29	3	24	43	224	8	4	3	210	272	389	662	180	288	34	7	288	81	+9	+0	+0	+23	+14	4.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Kelly Shoppachlast yr '13 career totals — 8 seasons, 1,839 PA	2.8	1,839	70	1	225	314	417	+33	+14	11.3	11.5
/162	664	25	0	+11.9	+5.0	4.1	pk7: 12
#2Aledmys Díazlast yr '23 career totals — 8 seasons, 2,509 PA	3.8	2,509	78	15	261	314	429	+10	+7	10.8	10.8
/162	664	21	4	+2.7	+1.8	2.9	pk7: 11
#3Stephen Vogtlast yr '22 career totals — 9 seasons, 2,571 PA	3.9	2,571	82	5	241	303	410	+36	-11	9.3	9.4
/162	664	21	1	+9.2	-2.8	2.4	pk7: 9
#4Jorge Alfarolast yr '23 career totals — 7 seasons, 1,693 PA	2.5	1,693	48	18	254	303	396	+30	+17	9.1	9.1
/162	664	19	7	+11.9	+6.6	3.6	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	1.6	1,075	49	5	247	311	456	+17	+5	6.6	6.6
/162	664	30	3	+10.4	+3.3	4.1	pk7: 7
#5Ian Stewartlast yr '14 career totals — 6 seasons, 1,646 PA	2.5	1,646	60	17	230	317	416	+6	+2	6.2	6.2
/162	664	24	7	+2.4	+0.9	2.5	pk7: 6
#6Devin Mesoracolast yr '18 career totals — 8 seasons, 1,574 PA	2.4	1,574	58	4	232	309	406	+28	-13	6.0	6.2
/162	664	24	2	+11.9	-5.3	2.5	pk7: 6

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Tom Murphy (OGILVIE)	35	—	68	41	51	254/322/474	219	297	7	2	24%	8%	123	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kurt Suzuki 2020 · MLB	36	50→60	58→60	40→45	50	266/330/469	203	262	27	2	12%	6%	124	+3.1	241/313/393	152	262	18	4	16%	7%	101	+1.4	217/297/332	116	245	13	1	17%	7%	79	-0.1
●Salvador Perez 2023 · MLB	33	49→59	67→70	47→30	40	273/314/526	254	301	38	2	24%	4%	132	+3.7	262/310/464	202	295	28	1	22%	5%	116	+2.5	257/308/455	198	285	28	0	21%	5%	107	+1.9
✕Todd Greene 2006 · MLB	35	49	59→65	46→30	45	263/303/467	204	277	28	4	18%	5%	114	+2.4	261/314/419	158	321	17	6	23%	7%	106	+1.8	289/335/428	139	393	7	0	26%	6%	105	+0.5
●Robinson Chirinos 2018 · MLB	34	45→46	60	45→50	52	242/338/466	224	283	28	4	25%	10%	126	+3.2	232/336/427	195	301	24	4	29%	11%	117	+2.6	224/336/422	198	301	25	2	31%	11%	113	+1.3
✕Mark Reynolds 2019 · MLB	35	48→55	56→65	43→50	51	250/330/438	188	316	25	3	28%	10%	117	+2.6	226/315/390	164	307	20	8	30%	11%	100	+1.3	156/281/280	124	233	13	7	35%	14%	65	-0.3
●Jermaine Dye 2009 · MLB	35	52→62	64→70	44→45	50	281/341/529	247	295	32	4	18%	8%	142	+4.4	261/337/471	210	283	27	4	18%	10%	127	+3.3	249/340/451	202	267	28	0	19%	11%	120	+2.7
✕Ryan Zimmerman 2019 · MLB	34	51→60	61→65	45	50	271/333/496	225	299	28	4	20%	8%	131	+3.6	259/321/449	190	302	23	4	22%	8%	116	+2.5	250/305/435	185	299	23	0	24%	7%	105	+0.7
✕Matt Kemp 2019 · MLB	34	54→64	57→65	40→55	45	278/325/474	196	322	26	2	22%	6%	123	+3.0	251/309/411	160	315	21	5	26%	8%	102	+1.5	226/314/386	160	299	24	5	31%	11%	95	+0.2
✕AJ Pollock 2022 · MLB	34	53→61	62→65	50→55	48	283/339/513	231	311	30	11	20%	7%	138	+4.1	243/296/408	165	276	20	6	20%	7%	97	+1.1	226/276/368	142	257	17	3	19%	6%	79	-0.1
✕Chris Iannetta 2018 · MLB	35	44→54	55→60	43→45	54	231/326/418	186	283	23	2	26%	11%	111	+2.1	227/329/397	170	290	20	3	27%	12%	107	+1.9	208/323/359	151	267	17	0	27%	13%	90	+0.2
✕Charlie Blackmon 2020 · MLB	34	56→60	58→60	45→55	50	287/348/501	214	315	25	7	18%	8%	138	+4.1	267/332/425	158	303	17	5	17%	8%	114	+2.4	252/326/385	132	288	13	4	16%	8%	101	+1.2
✕Eduardo Rios 2007 · AAA	34	49→50	60→65	41→45	47	263/311/478	215	272	28	7	16%	6%	120	+2.8	266/311/441	175	289	23	11	17%	5%	110	+2.1	311/343/448	137	331	23	11	13%	4%	122	+0.9
✕Javy Lopez 2006 · MLB	35	58→62	58→65	40→30	48	298/347/504	206	321	25	2	16%	6%	139	+4.1	259/309/412	153	302	16	4	20%	6%	103	+1.5	251/297/386	134	302	13	0	21%	5%	90	+0.4
✕Hanley Ramirez 2018 · MLB	34	48→58	58→60	42→60	52	256/328/454	198	280	27	6	20%	9%	120	+2.8	245/318/415	170	283	22	8	21%	9%	107	+1.8	248/309/388	140	277	19	12	18%	7%	96	+0.3
✕Evan Longoria 2022 · MLB	36	50→58	58→65	42→50	52	262/335/467	205	300	25	4	22%	9%	125	+3.2	248/320/452	204	310	27	3	28%	9%	116	+2.5	237/309/441	204	298	29	0	30%	9%	107	+0.8
✕Stephen Vogt 2020 · MLB	35	48→58	56→60	47→40	49	249/311/455	206	286	23	6	22%	8%	114	+2.3	218/292/385	167	260	19	5	23%	9%	91	+0.6	180/264/331	151	206	21	1	24%	10%	65	-0.5
●Aramis Ramirez 2012 · MLB	34	54→59	58→70	43→45	51	283/341/489	206	288	27	2	14%	7%	132	+3.7	288/351/485	197	306	22	5	14%	7%	135	+3.9	289/352/474	185	311	20	5	14%	7%	130	+2.9
✕Kit Pellow 2009 · AAA	35	52→58	61→60	45→40	45	277/340/494	217	304	30	5	20%	6%	135	+3.8	256/306/402	146	288	17	5	18%	5%	100	+1.3	247/290/361	115	267	13	1	13%	3%	82	-0.0
★Ken Griffey Jr. 2005 · MLB	35	47→55	64→70	46→45	59	256/354/503	247	270	32	4	20%	12%	140	+4.2	274/351/519	245	284	34	3	17%	10%	143	+4.4	274/355/514	240	281	33	2	16%	11%	135	+3.5
●Mendy López 2008 · AAA	34	51→58	57→60	45→30	54	266/346/466	200	314	26	3	24%	11%	129	+3.4	259/328/421	162	322	18	3	24%	9%	112	+2.2	233/319/419	186	288	27	1	28%	10%	108	+1.2

Career Stats + Projections

Career Comps

Career Path Comps