Tom Murphy — OGILVIE

Tom MurphyC San Francisco Giants

Age 35 R/R 6'0" / 218 lbs MLB BB -3% Svc 11.000 · Ctrl thru 2026 peak 0.8 · 2026

wRC+†112

AVG/OBP/SLG.242 / .306 / .445

PA148

HR6

K%28

BB%8

MLB%100%

Scouting · now → future

PWR

68→68

SPD

41→41

EYE

51→51

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
2026	Ext / FA-deal	$4M	+0.8	$3M	-$1M
Totals		$4M		$3M	-$1M

Career Projections (MLE)

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.

Year	Age	Lvl	Team	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
2013	22	A	2 teams	415	374	73	18	2	14	24	143	11	4	5	.195	.264	.366	.630	.171	.268	34	6	.268	63	-17	-1	+0	+7	+12	0.1
2014	23	AA	Tulsa Drillers	109	99	18	3	0	5	9	35	1	0	0	.182	.257	.364	.621	.182	.220	32	8	.265	61	-5	+0	+0	+2	+3	0.0
2015	24	AA	3 teams	469	438	84	19	2	17	23	173	6	5	3	.192	.242	.361	.603	.169	.268	37	5	.261	58	-22	-0	-2	+8	+13	-0.3
2016	25	AAA	2 teams	371	353	84	20	4	17	15	123	2	2	1	.238	.273	.462	.735	.224	.313	33	4	.310	96	-2	+0	+1	+7	+11	1.7
2017	26	AAA	2 teams	180	168	24	7	0	2	8	85	3	0	0	.143	.196	.220	.416	.077	.268	47	4	.188	2	-20	+0	+1	+3	+5	-1.1
2018	27	AAA	2 teams	360	336	62	17	3	13	18	144	5	4	3	.185	.237	.369	.606	.185	.272	40	5	.259	56	-18	-0	+1	+6	+10	-0.0
2019	28	MLB	Seattle Mariners	281	260	70	12	1	19	19	87	1	2	0	.269	.321	.542	.864	.273	.329	31	7	.365	138	+12	+0	+12	+5	+8	3.8
2021	30	MLB	Seattle Mariners	325	280	56	8	0	11	40	99	2	0	0	.200	.304	.346	.651	.146	.260	30	12	.297	85	-5	+0	+1	+6	+9	1.1
2022	31	MLB	Seattle Mariners	42	34	10	2	0	1	8	13	0	0	0	.294	.429	.441	.870	.147	.450	31	19	.392	158	+3	+0	+1	+1	+1	0.6
2023	32	MLB	Seattle Mariners	159	146	43	12	0	8	10	44	1	0	0	.295	.344	.541	.885	.247	.365	28	6	.374	144	+8	+0	-4	+3	+5	1.1
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	.215	23	-3	+0	-3	+1	+1	-0.4
▸ 2026 Season
2026	35	MLB	SF	148	135	33	7	1	6	11	41	1	2	1	.244	.306	.444	.751	.200	.299	28	7	.332	112	+2	+0	-1	+3	+4	0.8
▸ Career Totals (MLE all levels + projections)
Career	—			2897	2657	561	126	13	114	189	1001	33	19	13	.211	.272	.397	.669	.186	.287	35	7	.289	79	-68	-1	+7	+52	+82	7.2
/ 162G	—			650	596	126	28	3	26	42	225	7	4	3	.211	.271	.399	.670	.188	.287	35	6	.289	79	-15	-0	+1	+12	+18	1.6

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	138	+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	177	+30	-1	—	—	+10	3.9
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	111	+1	+0	—	—	+3	0.5
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	149	+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	134	+5	-0	—	—	+4	0.9
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	121	+7	+0	—	—	+8	1.6
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	186	+5	+0	+1	+7	+1	1.5
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	188	+32	-0	—	—	+9	4.2
2017	26	MLB	Colorado Rockies	26	24	1	1	0	0	2	9	0	0	0	.042	.115	.083	.199	.042	.067	35	8	.103	-63	-5	+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	108	+1	+0	—	—	+4	0.6
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	72	-3	-0	+1	+6	+3	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	155	+16	+0	—	—	+7	2.4
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	143	+14	+0	+12	+5	+8	4.0
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	84	-6	+0	+1	+6	+9	1.0
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	160	+3	+0	+1	+1	+1	0.6
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	145	+8	+0	-4	+3	+5	1.2
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	19	-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	112	+15	+0	+8	+40	+30	9.4

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	.242/.306/.445	.203	.299	6	2	28%	8%	112	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Mark Reynolds 2019 · MLB	35	50→57	56→65	42→50	51	.255/.334/.441	.186	.322	25	3	28%	10%	121	+3.2	.227/.316/.394	.167	.308	20	7	31%	11%	102	+1.9	.160/.284/.285	.126	.239	13	7	35%	14%	59	-0.3
●Robinson Chirinos 2019 · MLB	35	44→47	58→60	47→50	50	.231/.336/.438	.207	.293	26	4	29%	10%	122	+3.3	.231/.332/.417	.186	.304	22	4	29%	10%	115	+2.8	.215/.318/.391	.176	.287	20	1	30%	10%	100	+0.8
✕Stephen Vogt 2020 · MLB	35	47→57	56→60	46→40	49	.247/.307/.449	.202	.281	23	6	22%	8%	112	+2.6	.220/.293/.389	.169	.262	19	5	23%	9%	91	+1.1	.178/.262/.326	.148	.203	20	1	24%	10%	58	-0.4
✕Nick Hundley 2019 · MLB	35	48→45	53→55	46→40	44	.247/.297/.424	.177	.303	20	4	25%	7%	102	+1.8	.227/.279/.384	.157	.303	18	6	30%	6%	83	+0.6	.167/.203/.288	.122	.239	14	0	36%	4%	25	-0.8
✕José Hernández 2004 · MLB	35	51→61	52→55	41→45	44	.252/.313/.415	.163	.342	20	4	31%	8%	105	+2.1	.252/.315/.408	.156	.325	19	5	27%	8%	105	+2.1	.256/.318/.410	.154	.315	20	4	24%	8%	100	+0.6
✕Olmedo Saenz 2006 · MLB	35	50	58→60	42→30	50	.262/.328/.470	.208	.288	27	3	20%	8%	126	+3.5	.258/.333/.467	.209	.292	25	4	21%	8%	128	+3.6	.249/.336/.468	.219	.281	27	0	21%	9%	126	+1.0
✕Matt Kemp 2019 · MLB	34	53→63	58→65	40→55	45	.277/.322/.481	.204	.319	27	2	22%	6%	127	+3.6	.252/.308/.415	.163	.314	21	5	26%	7%	104	+2.0	.225/.313/.393	.168	.294	25	5	31%	11%	97	+0.3
✕Kurt Suzuki 2020 · MLB	36	50→60	58→60	41→45	50	.265/.329/.467	.202	.261	27	2	12%	6%	127	+3.6	.241/.313/.391	.150	.261	18	4	15%	7%	100	+1.7	.213/.294/.326	.113	.241	13	1	17%	7%	72	-0.1
●Saul Soto 2014 · AAA	35	48→58	55→60	43→45	51	.253/.322/.433	.180	.289	23	5	22%	9%	115	+2.7	.252/.325/.399	.147	.298	18	4	21%	9%	106	+2.2	.256/.342/.373	.117	.297	12	2	17%	11%	106	+1.6
✕Josh Willingham 2014 · MLB	35	45→53	60	45	56	.239/.347/.457	.218	.282	28	4	25%	12%	131	+3.9	.227/.342/.403	.176	.289	21	5	27%	13%	116	+2.8	.207/.336/.371	.163	.268	21	3	28%	14%	98	+1.0
✕Sean Rodríguez 2019 · MLB	34	42→49	55→60	46→50	49	.219/.310/.401	.182	.290	24	6	32%	10%	102	+1.9	.221/.313/.384	.163	.308	20	7	32%	10%	98	+1.6	.207/.312/.377	.171	.292	21	3	34%	11%	92	+0.4
●Salvador Perez 2023 · MLB	33	47→57	66→70	47→30	39	.265/.307/.511	.245	.293	36	2	24%	4%	130	+3.8	.254/.301/.447	.193	.287	27	2	22%	5%	110	+2.4	.248/.299/.435	.187	.276	26	0	21%	5%	98	+1.7
✕Greg Norton 2007 · MLB	35	50	56→60	34→40	52	.259/.330/.447	.188	.294	25	3	21%	9%	121	+3.2	.255/.348/.406	.151	.308	17	4	21%	12%	118	+3.0	.242/.355/.357	.116	.301	11	2	21%	15%	102	+0.7
✕Miguel Olivo 2013 · MLB	35	45→52	53→60	41→50	38	.236/.269/.401	.165	.288	22	8	27%	4%	84	+0.6	.242/.280/.409	.167	.311	21	8	29%	5%	90	+1.0	.232/.272/.372	.140	.326	15	8	33%	5%	73	-0.1
★José Abreu 2022 · MLB	35	51→61	59→65	44→40	48	.270/.341/.485	.215	.307	27	2	22%	8%	136	+4.2	.270/.341/.433	.163	.315	19	2	20%	8%	122	+3.3	.264/.331/.405	.141	.308	16	0	19%	8%	107	+1.7
✕Todd Greene 2006 · MLB	35	48	59→65	46→30	44	.260/.299/.464	.204	.276	28	3	18%	5%	113	+2.6	.263/.314/.424	.161	.321	17	6	23%	6%	108	+2.3	.289/.335/.428	.139	.393	7	0	26%	6%	105	+0.6
✕Eduardo Escobar 2023 · MLB	34	47→56	55→60	43→50	48	.248/.306/.441	.192	.284	23	2	22%	8%	109	+2.4	.241/.295/.397	.156	.297	17	5	24%	7%	92	+1.2	.231/.276/.341	.110	.296	11	4	25%	6%	67	-0.3
✕Justin Upton 2021 · MLB	33	45→55	58→65	42→55	50	.239/.326/.439	.200	.293	28	6	28%	10%	118	+3.0	.213/.298/.392	.179	.275	24	6	30%	10%	95	+1.4	.188/.280/.359	.170	.243	24	5	32%	10%	77	+0.0
✕AJ Pollock 2023 · MLB	35	51→60	54→65	48→55	47	.265/.316/.448	.183	.295	22	8	19%	7%	116	+2.8	.235/.290/.393	.158	.270	19	7	21%	7%	90	+1.0	.166/.218/.304	.138	.179	20	0	22%	6%	37	-0.6
✕Ryan Raburn 2016 · MLB	35	49→55	54→60	46→50	51	.249/.326/.434	.185	.295	21	3	23%	9%	116	+2.8	.237/.317/.405	.168	.319	19	4	29%	10%	105	+2.1	.223/.306/.384	.161	.317	18	1	33%	10%	91	+0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)