Chris Taylor — OGILVIE

Chris TaylorCF Salt Lake Bees

Age 35 R/R 6'0" / 196 lbs AAA HR -5% Svc 12.000 · Ctrl thru 2026 peak 0.2 · 2026

wRC+†vL 3596vR 86

AVG/OBP/SLG.219 / .305 / .360

PA233

HR6

SB6

K%32

BB%9

xwOBA.270

Barrel%6.9%

MLB%10%

Scouting · now → future

HIT

40→40

PWR

45→45

SPD

55→55

EYE

52↗60

trajectory · 10 yrs

0.4peak

2026

Contract

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

Status FA

MLB Debut 2014

Service 12.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$2M	+0.2	$0.8M	-$1M
Totals		$2M		$0.8M	-$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
2012	21	A	Clinton LumberKings	53	46	14	0	0	0	2	5	3	4	1	.304	.373	.304	.677	.000	.341	9	4	.283	75	-2	+0	+0	-1	+2	-0.0
2013	22	A+	3 teams	695	620	162	27	9	7	63	177	4	43	7	.261	.333	.368	.701	.106	.351	25	9	.309	95	-4	+6	+0	-7	+20	1.4
2014	23	AAA	2 teams	497	450	125	27	6	4	34	133	5	19	8	.278	.335	.391	.726	.113	.379	27	7	.319	102	+1	+1	+2	+5	+14	2.4
2015	24	AAA	2 teams	498	453	108	20	7	3	40	107	2	19	10	.238	.303	.333	.636	.095	.305	21	8	.281	74	-15	-0	+2	+5	+14	0.6
2016	25	AAA	2 teams	409	376	96	22	7	3	28	101	3	17	5	.255	.312	.375	.687	.120	.341	25	7	.301	88	-5	+1	+1	+4	+12	1.3
2017	26	MLB	2 teams	617	559	162	35	7	23	53	148	4	18	6	.290	.356	.501	.856	.211	.357	24	9	.369	141	+29	+1	+1	-7	+17	4.3
2018	27	MLB	Los Angeles Dodgers	604	536	137	34	10	16	55	178	9	9	6	.256	.335	.446	.781	.190	.350	29	9	.335	115	+10	-1	+4	+6	+17	3.8
2019	28	MLB	2 teams	429	380	103	30	5	12	38	118	4	8	0	.271	.344	.471	.815	.200	.357	28	9	.345	122	+11	+2	+0	-5	+12	2.1
2020	29	MLB	Los Angeles Dodgers	214	185	49	9	3	7	26	55	2	3	2	.265	.362	.459	.821	.195	.341	26	12	.363	136	+9	-0	+3	+2	+6	2.0
2021	30	MLB	Los Angeles Dodgers	582	507	127	25	2	17	63	167	8	13	1	.250	.343	.408	.751	.158	.337	29	11	.328	109	+6	+2	-5	+2	+16	2.3
2022	31	MLB	Los Angeles Dodgers	454	402	89	25	3	10	44	160	5	10	1	.221	.306	.373	.679	.152	.336	35	10	.298	86	-7	+2	+1	-5	+13	0.4
2023	32	MLB	Los Angeles Dodgers	384	338	78	16	1	14	41	125	4	16	3	.231	.321	.408	.729	.178	.320	33	11	.323	105	+2	+2	-2	-4	+11	0.9
2024	33	MLB	Los Angeles Dodgers	246	213	44	7	1	4	28	76	2	5	1	.207	.305	.305	.610	.099	.296	31	11	.274	68	-9	+1	-4	-3	+7	-0.8
2025	34	MLB	2 teams	145	132	24	7	0	2	6	50	6	2	2	.182	.250	.280	.530	.098	.272	34	4	.241	42	-9	-0	-1	-2	+4	-0.8
▸ 2026 Season (actual · ROS · total)
2026	35	AAA	Salt Lake Bees	54	47	14	5	0	0	5	21	1	1	1	.298	.377	.404	.782	.106	.538	39	9	.321	104	+0	-0	+0	-1	+2	0.1
ROS	35	MLB	LAA	179	157	36	8	1	4	17	58	3	5	1	.229	.316	.369	.686	.140	.328	32	9	.308	94	-1	+1	-1	-2	+5	0.1
TOT	35	MLB	LAA	233	204	50	13	1	4	22	79	4	6	2	.245	.330	.377	.708	.132	.377	34	9	.311	96	-1	+0	-1	-2	+7	0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	36	MLB 20%	LAA	167	146	34	7	1	4	16	48	3	4	1	.233	.321	.377	.698	.144	.308	29	10	.305	92	-2	+0	-7	-2	+5	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			6173	5500	1388	299	63	130	554	1706	67	195	55	.252	.328	.401	.729	.148	.340	28	9	.319	102	+14	+17	-6	-10	+175	19.4
/ 162G	—			650	579	146	31	7	14	58	180	7	21	6	.252	.328	.402	.730	.150	.339	28	9	.319	102	+1	+2	-1	-1	+18	2.0

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
2012	21	A	Clinton LumberKings	53	46	14	0	0	0	2	4	3	4	1	.304	.373	.304	.677	.000	.333	8	4	.307	93	-0	+0	—	—	+2	0.2
2013	22	AA	Jackson Generals	300	256	75	12	4	1	40	55	2	18	3	.293	.393	.383	.775	.090	.368	18	13	.353	128	+10	+2	—	—	+8	2.1
2013	22	A+	High Desert Mavericks	319	269	90	16	7	7	44	62	2	20	2	.335	.432	.524	.956	.190	.407	19	14	.417	177	+28	+3	—	—	+9	4.1
2013	22	INTL	Peoria Javelinas	76	68	20	4	1	1	6	15	0	5	2	.294	.351	.426	.778	.132	.365	20	8	.338	117	+1	+0	—	—	+2	0.4
2014	23	MLB	Seattle Mariners	151	136	39	8	0	0	11	39	2	5	2	.287	.349	.346	.695	.059	.398	26	7	.314	99	-0	+0	+2	+5	+4	1.2
2014	23	AAA	Tacoma Rainiers	346	302	99	22	7	5	35	74	3	14	6	.328	.403	.497	.900	.169	.412	21	10	.391	158	+23	+0	—	—	+10	3.3
2015	24	MLB	Seattle Mariners	102	94	16	3	1	0	6	31	0	3	2	.170	.220	.223	.443	.053	.254	30	6	.201	12	-10	-0	+2	+5	+3	-0.1
2015	24	AAA	Tacoma Rainiers	396	343	103	20	6	4	50	61	2	16	8	.300	.392	.429	.821	.128	.355	15	13	.369	141	+18	+0	—	—	+11	3.0
2016	25	MLB	Los Angeles Dodgers	65	61	13	2	2	1	4	15	0	0	0	.213	.262	.361	.622	.148	.267	23	6	.276	69	-2	+0	+1	+4	+2	0.5
2016	25	AAA	Oklahoma City Dodgers	344	304	98	25	6	3	35	65	3	17	5	.322	.398	.474	.871	.151	.401	19	10	.385	153	+21	+1	—	—	+10	3.2
2017	26	MLB	Los Angeles Dodgers	568	514	148	34	5	21	50	142	3	17	4	.288	.354	.496	.851	.208	.361	25	9	.374	144	+28	+2	+1	-7	+16	4.1
2017	26	AAA	Oklahoma City Dodgers	49	43	10	2	2	1	5	5	1	1	2	.233	.327	.442	.768	.209	.243	10	10	.339	118	+1	-1	—	—	+1	0.2
2018	27	MLB	Los Angeles Dodgers	604	536	136	35	8	17	55	178	9	9	6	.254	.333	.444	.777	.190	.345	29	9	.343	120	+14	-1	+4	+6	+17	4.2
2019	28	MLB	Los Angeles Dodgers	414	366	96	29	4	12	37	115	4	8	0	.262	.337	.462	.798	.199	.344	28	9	.347	124	+11	+2	+0	-5	+12	2.1
2019	28	A+	Rancho Cucamonga Quakes	15	14	6	0	0	1	1	2	0	0	0	.429	.467	.643	1.110	.214	.455	13	7	.487	231	+2	+0	—	—	+0	0.3
2020	29	MLB	Los Angeles Dodgers	214	185	50	10	2	8	26	55	2	3	2	.270	.366	.476	.842	.205	.344	26	12	.371	142	+10	-0	+3	+2	+6	2.2
2021	30	MLB	Los Angeles Dodgers	582	507	129	25	4	20	63	167	8	13	1	.254	.346	.438	.784	.183	.337	29	11	.348	124	+16	+2	-5	+2	+16	3.3
2022	31	MLB	Los Angeles Dodgers	454	402	89	25	3	10	44	160	5	10	1	.221	.306	.373	.679	.152	.336	35	10	.305	91	-4	+2	+1	-5	+13	0.6
2023	32	MLB	Los Angeles Dodgers	384	338	80	15	1	15	41	125	4	16	3	.237	.326	.420	.746	.183	.327	33	11	.333	113	+6	+2	-2	-4	+11	1.2
2024	33	MLB	Los Angeles Dodgers	246	213	43	7	1	4	28	76	2	5	1	.202	.300	.300	.601	.099	.289	31	11	.276	70	-8	+1	-4	-3	+7	-0.8
2025	34	MLB	Los Angeles Angels	125	113	21	7	0	2	5	42	6	2	2	.186	.258	.301	.559	.115	.271	34	4	.255	54	-7	-0	-1	-2	+4	-0.6
2025	34	AAA	Salt Lake Bees	20	19	4	0	0	0	1	6	0	0	0	.211	.250	.211	.461	.000	.308	30	5	.216	23	-2	+0	—	—	+1	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			3909	3465	860	200	31	110	370	1145	45	91	24	.248	.329	.419	.748	.171	.336	29	9	.332	112	+53	+9	+3	+2	+111	18.0

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
Chris Taylor (OGILVIE)	35	40	45	55	60	.219/.305/.360	.141	.307	6	6	32%	9%	89	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Anthony Recker 2018 · MLB	34	42→48	47→50	49→45	44	.210/.284/.344	.134	.285	14	5	30%	8%	76	+0.0	.215/.278/.370	.155	.292	18	5	31%	7%	79	+0.3	.196/.261/.371	.175	.257	22	0	32%	7%	69	-0.2
✕Mark Little 2006 · MLB	34	44	52→55	52→55	40	.227/.298/.393	.166	.296	20	19	30%	6%	95	+1.4	.232/.315/.357	.125	.319	12	15	29%	6%	92	+1.2	.233/.334/.324	.091	.343	4	13	29%	7%	89	+0.5
✕Ryan LaMarre 2023 · MLB	34	50→52	47→45	52→60	44	.242/.319/.380	.139	.327	14	21	29%	7%	100	+1.7	.222/.294/.354	.132	.316	14	20	32%	7%	82	+0.5	.149/.229/.250	.102	.226	13	33	38%	7%	26	-0.6
✕Curtis Pride 2004 · MLB	35	50	47→45	49→55	50	.246/.325/.389	.143	.308	15	13	24%	9%	104	+2.0	.244/.312/.382	.138	.318	13	15	26%	8%	96	+1.5	.234/.314/.359	.125	.326	11	21	29%	10%	89	+0.5
✕Cody Ransom 2010 · MLB	34	40→41	52→55	49→50	45	.213/.279/.385	.172	.266	20	12	28%	8%	84	+0.6	.222/.285/.399	.177	.290	21	8	30%	8%	90	+1.0	.217/.285/.398	.181	.290	23	7	32%	8%	87	+0.6
✕Adam Rosales 2018 · MLB	35	43→48	50→55	44→45	42	.222/.283/.377	.155	.300	18	8	32%	7%	83	+0.6	.206/.259/.346	.140	.270	17	5	29%	6%	65	-0.7	.187/.237/.314	.128	.240	16	3	29%	5%	45	-1.3
✕Charlie Culberson 2023 · MLB	34	49→52	45	48→50	44	.241/.290/.371	.130	.302	12	13	24%	6%	84	+0.6	.225/.273/.339	.114	.313	12	12	30%	6%	69	-0.4	.176/.203/.217	.041	.286	5	14	39%	3%	7	-0.8
✕Justin Ruggiano 2017 · MLB	35	46→56	50→55	44→55	44	.230/.299/.386	.156	.316	18	11	32%	8%	92	+1.2	.227/.279/.381	.154	.295	18	9	29%	6%	82	+0.5	.225/.261/.379	.153	.275	19	5	26%	3%	71	-0.1
✕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
✕Chris Dickerson 2017 · MLB	35	52→55	45→50	54→60	45	.248/.313/.378	.129	.339	12	20	29%	8%	95	+1.4	.227/.305/.360	.133	.324	13	13	31%	9%	88	+0.9	.209/.303/.334	.125	.305	12	11	32%	10%	77	+0.1
✕Matt Carson 2015 · MLB	34	45→50	46→60	51→50	39	.225/.273/.349	.124	.298	14	14	29%	5%	72	-0.2	.211/.271/.329	.118	.276	13	14	27%	6%	66	-0.6	.172/.246/.260	.088	.215	9	11	24%	6%	37	-0.8
✕Mike Coolbaugh 2006 · AAA	34	43→41	53→55	53→50	42	.228/.277/.396	.168	.276	21	10	26%	6%	86	+0.8	.217/.283/.361	.144	.272	17	9	26%	7%	79	+0.3	.182/.274/.295	.113	.227	14	4	26%	10%	56	-0.6
✕Flavio Romero 2015 · AAA	35	44→54	43→45	48→60	52	.216/.299/.320	.104	.275	11	20	25%	10%	76	+0.0	.222/.303/.306	.084	.284	8	18	23%	10%	73	-0.1	.237/.322/.293	.056	.295	4	21	19%	10%	74	-0.0
✕Curt Casali 2023 · MLB	34	44	49→50	48→30	53	.218/.322/.368	.150	.293	17	5	30%	12%	98	+1.6	.223/.317/.330	.107	.291	10	4	25%	10%	86	+0.8	.218/.318/.287	.069	.282	5	0	22%	10%	74	-0.0
✕Roger Bernadina 2019 · AAA	35	48→58	44→45	53→60	44	.230/.294/.352	.122	.309	11	19	28%	7%	81	+0.4	.251/.300/.380	.129	.315	14	10	24%	6%	91	+1.1	.289/.335/.400	.111	.359	13	4	22%	6%	105	+0.5
✕Chad Huffman 2018 · MLB	33	45→50	49→50	48→45	48	.227/.308/.382	.155	.275	15	8	23%	8%	96	+1.5	.229/.301/.381	.152	.291	17	6	26%	7%	92	+1.2	.225/.298/.382	.157	.288	19	0	28%	7%	87	+0.5
●Jolbert Cabrera 2007 · MLB	34	51	45→50	51→50	45	.253/.305/.379	.126	.294	12	14	19%	5%	92	+1.2	.238/.285/.367	.129	.281	11	8	19%	4%	81	+0.4	.267/.303/.405	.139	.314	14	9	19%	4%	97	+1.0
✕Yuniesky Betancourt 2017 · AAA	35	46→56	44→50	50	43	.227/.273/.342	.115	.269	11	12	20%	5%	69	-0.4	.229/.260/.311	.082	.254	7	7	13%	4%	54	-1.4	.238/.258/.278	.039	.258	3	0	9%	2%	43	-0.8
✕Hiram Bocachica 2011 · AAA	35	48	50→55	49→55	46	.243/.308/.402	.158	.282	18	12	21%	7%	100	+1.7	.226/.302/.399	.173	.268	20	18	23%	8%	98	+1.6	.197/.289/.387	.191	.223	22	24	23%	10%	88	+0.4
✕Darnell McDonald 2013 · MLB	34	45→55	49→55	45→55	49	.227/.295/.376	.149	.271	16	10	23%	8%	88	+0.9	.215/.274/.325	.110	.264	10	10	22%	7%	66	-0.6	.209/.261/.294	.086	.257	6	12	21%	6%	50	-1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)