Anthony Gutierrez

Anthony GutierrezCF Hub City Spartanburgers

Age 21 R/R 6'3" / 180 lbs A+ K +3% Svc 0.0 · Ctrl thru 2035 peak 1.0 · 2031

wRC+†49

AVG/OBP/SLG.206 / .260 / .282

PA320

HR3

SB18

K%28

BB%5

MLB%0%

Scouting · now → future

HIT

30↗42

PWR

35↗44

SPD

50↗56

FLD

45↗58

EYE

38↘35

trajectory · 10 yrs

0.9peak

2031

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Arb-2	$0.9M	+0.9	$4M	+$3M
2031	Arb-3	$0.9M	+1.0	$9M	+$8M
2032	Ext / FA-deal	$0.9M	+1.0	$10M	+$9M
2033	Ext / FA-deal	$2M	+0.8	$4M	+$2M
2034	Ext / FA-deal	$3M	+0.6	$3M	+$0.4M
2035	Ext / FA-deal	$2M	+0.4	$2M	-$0.4M
Totals		$10M		$32M	+$22M

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
2022	17	ROK	ACL Rangers	190	176	38	8	1	3	7	50	4	11	6	.216	.262	.324	.586	.108	.278	26	4	.254	53	-10	-0	+0	+1	+5	-0.4
2023	18	A	2 teams	346	322	72	9	3	2	17	110	5	32	11	.224	.273	.289	.562	.065	.330	32	5	.248	48	-20	+2	+0	+1	+10	-0.7
2024	19	A+	2 teams	286	265	49	9	2	1	12	84	7	43	6	.185	.239	.245	.485	.060	.264	29	4	.212	20	-26	+6	+0	+1	+8	-1.1
2025	20	A+	Hub City Spartanburgers	381	351	73	13	0	1	17	101	8	48	9	.208	.261	.254	.514	.046	.287	27	4	.231	35	-28	+6	+0	+1	+11	-1.0
▸ 2026 Season
2026	21	MLB	TEX	320	295	61	11	1	3	17	90	5	18	4	.207	.262	.281	.543	.075	.283	28	5	.249	49	-19	+2	+1	+1	+9	-0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	TEX	434	398	87	15	2	7	26	116	7	22	4	.219	.278	.319	.598	.101	.285	27	6	.268	63	-18	+3	+1	+2	+12	-0.1
2028	23	MLB 28%	TEX	493	451	100	17	2	10	32	128	7	23	4	.222	.284	.335	.618	.113	.287	26	6	.279	72	-16	+3	+1	+2	+14	0.4
2029	24	MLB 45%	TEX	531	481	109	19	2	11	37	136	8	22	4	.227	.293	.343	.636	.116	.287	26	7	.286	77	-14	+3	+1	+2	+15	0.7
2030	25	MLB 60%	TEX	552	499	114	20	2	12	40	140	8	21	4	.228	.296	.349	.645	.120	.288	25	7	.290	80	-12	+3	+1	+2	+16	0.9
2031	26	MLB 78%	TEX	563	508	116	20	2	13	41	142	9	20	4	.228	.297	.352	.650	.124	.289	25	7	.292	82	-12	+2	+1	+2	+16	1.0
2032	27	MLB 92%	TEX	566	510	116	20	2	13	42	144	9	18	3	.227	.298	.351	.649	.124	.289	25	7	.292	82	-12	+2	+1	+2	+16	1.0
2033	28	MLB	TEX	563	507	115	20	2	13	43	144	8	16	3	.227	.297	.351	.649	.124	.288	26	8	.291	81	-12	+2	+0	+2	+16	0.8
2034	29	MLB	TEX	554	499	112	19	2	12	42	143	8	14	2	.224	.295	.343	.638	.118	.287	26	8	.289	79	-13	+2	-0	+2	+16	0.6
2035	30	MLB	TEX	544	489	110	19	2	12	42	143	8	13	2	.225	.297	.346	.642	.121	.286	26	8	.286	77	-14	+2	-1	+2	+15	0.4
2036	31	MLB	TEX	530	477	105	18	2	11	40	141	8	10	1	.220	.291	.335	.627	.115	.285	27	8	.282	74	-16	+2	-2	+2	+15	0.1
2037	32	MLB	TEX	512	461	100	17	2	10	39	139	7	9	0	.217	.288	.328	.616	.111	.283	27	8	.277	70	-17	+2	-3	+2	+15	-0.2
2038	33	MLB	TEX	482	436	91	15	1	9	36	134	7	7	0	.209	.280	.310	.589	.101	.282	28	7	.272	66	-18	+1	-3	+2	+14	-0.5
2039	34	MLB	TEX	436	394	80	13	1	7	33	125	6	6	0	.203	.275	.294	.569	.091	.280	29	8	.266	62	-19	+1	-4	+2	+12	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			8283	7519	1648	282	31	150	563	2210	129	353	67	.219	.285	.325	.610	.106	.288	27	7	.275	68	-295	+44	-8	+30	+235	0.6
/ 162G	—			650	590	129	22	2	12	44	173	10	28	5	.219	.284	.324	.608	.105	.286	27	7	.275	68	-23	+4	-1	+2	+18	0.1

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
2022	17	ROK	ACL Rangers	190	172	53	13	2	4	11	34	4	11	6	.308	.364	.477	.840	.169	.358	18	6	.366	139	+8	-0	—	—	+5	1.4
2023	18	A	Down East Wood Ducks	325	293	76	11	3	2	25	72	5	30	10	.259	.328	.338	.666	.078	.335	22	8	.303	90	-4	+2	—	—	+9	0.8
2023	18	ROK	ACL Rangers	21	20	7	0	2	0	1	6	0	2	1	.350	.381	.550	.931	.200	.500	29	5	.402	166	+2	+0	—	—	+1	0.2
2024	19	A+	Hickory Crawdads	271	241	58	11	2	1	21	59	7	37	6	.241	.320	.315	.635	.075	.311	22	8	.292	81	-6	+5	—	—	+8	0.7
2024	19	ROK	ACL Rangers	15	15	4	1	0	0	0	4	0	6	0	.267	.267	.333	.600	.067	.364	27	0	.267	62	-1	+1	—	—	+0	0.1
2025	20	A+	Hub City Spartanburgers	381	337	87	15	0	2	31	79	8	48	9	.258	.335	.320	.656	.062	.329	21	8	.300	88	-5	+6	—	—	+11	1.2

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
Anthony Gutierrez (OGILVIE)	21	30→42	35→44	50→56	35	.206/.260/.282	.076	.283	3	18	28%	5%	49	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jorge Mateo 2017 · A	22	43→46	40→50	61→65	39	.207/.250/.301	.094	.287	6	35	29%	5%	48	-1.9	.199/.241/.315	.116	.291	8	29	33%	5%	48	-1.9	.217/.264/.366	.149	.272	14	44	25%	5%	70	-0.2
✕Tito Polo 2016 · A	21	43→53	38→45	56→60	40	.204/.257/.289	.085	.272	5	26	26%	5%	49	-1.8	.225/.278/.333	.108	.296	10	27	26%	5%	69	-0.4	.231/.285/.344	.114	.305	11	32	27%	5%	71	-0.2
✕Derek Hill 2017 · A	21	44→53	36→50	59→60	39	.209/.255/.280	.070	.297	3	25	30%	5%	44	-2.1	.199/.252/.276	.077	.308	5	27	34%	6%	43	-2.2	.250/.300/.402	.152	.328	16	23	28%	6%	93	+0.7
✕Johan Rojas 2023 · AA	22	43→53	42→45	63→65	42	.213/.261/.318	.105	.268	9	34	24%	5%	58	-1.2	.245/.287/.352	.107	.309	8	37	22%	5%	77	+0.1	.258/.299/.360	.102	.324	7	41	22%	5%	80	+0.3
✕Kenny Wilson 2011 · A	21	37→47	35→40	56→60	41	.176/.250/.231	.056	.277	2	26	35%	8%	32	-3.0	.198/.271/.268	.070	.291	4	28	31%	7%	50	-1.8	.199/.267/.293	.094	.305	8	22	35%	7%	52	-0.6
✕Abiatal Avelino 2016 · A	21	47→51	38→45	55	43	.222/.265/.299	.077	.275	5	28	21%	5%	54	-1.4	.233/.274/.326	.093	.290	7	20	21%	5%	65	-0.7	.242/.281/.345	.104	.299	9	19	22%	5%	69	-0.3
✕Yhoswar Garcia 2023 · A	21	42	38→30	61→70	39	.197/.263/.279	.082	.306	5	36	35%	7%	49	-1.8	.204/.255/.272	.068	.280	3	37	27%	5%	43	-2.2	.203/.249/.256	.053	.266	2	51	23%	5%	33	-1.4
✕Daniel Carroll 2010 · A	21	44→50	35→45	55→60	36	.201/.263/.264	.063	.315	3	26	35%	5%	45	-2.1	.218/.288/.329	.111	.329	11	28	35%	7%	73	-0.1	.224/.297/.348	.125	.337	14	33	35%	7%	78	+0.1
✕Delino DeShields 2013 · A	20	44→53	41→45	60→65	43	.214/.272/.314	.100	.286	9	34	28%	7%	62	-0.9	.227/.295/.329	.102	.306	8	37	26%	8%	76	+0.0	.228/.305/.328	.100	.305	6	38	25%	9%	75	+0.0
✕Victor Soto 2010 · A	21	39	37→45	56→60	40	.189/.243/.268	.079	.265	3	22	29%	6%	37	-2.7	.197/.241/.269	.072	.289	3	15	31%	5%	36	-2.7	.187/.218/.237	.050	.279	0	18	32%	3%	15	-0.8
✕Johneshwy Fargas 2017 · A	22	45→49	36→45	56→65	41	.211/.260/.274	.063	.273	3	30	24%	5%	45	-2.1	.209/.260/.296	.087	.272	7	34	25%	4%	52	-1.6	.221/.274/.323	.102	.288	11	50	26%	5%	61	-0.5
✕Samad Taylor 2019 · A	21	39→49	41→50	54→65	45	.193/.257/.297	.104	.249	7	21	25%	7%	51	-1.7	.189/.265/.305	.116	.284	10	24	35%	8%	57	-1.2	.236/.312/.377	.141	.324	16	46	30%	9%	94	+0.8
✕Masyn Winn 2022 · A	20	41→51	40→50	56→55	42	.202/.257/.295	.093	.281	7	21	30%	7%	50	-1.7	.228/.284/.359	.131	.288	12	22	24%	7%	78	+0.2	.239/.295/.382	.143	.285	14	19	21%	7%	86	+0.8
✕Jeffrey Baez 2014 · A	20	43→46	38→50	57→60	40	.209/.260/.292	.083	.286	5	27	28%	5%	50	-1.7	.210/.253/.312	.102	.287	9	23	29%	5%	53	-1.5	.195/.249/.339	.144	.260	18	15	32%	6%	56	-0.7
✕Darren Ford 2007 · A	21	48→53	38→45	57→65	40	.223/.274/.298	.075	.328	6	29	32%	6%	58	-1.2	.219/.278/.304	.085	.317	6	36	31%	7%	61	-1.0	.228/.284/.334	.105	.316	8	36	29%	6%	68	-0.3
✕Maximo Rivera 2014 · A	21	45	40→45	53→60	43	.219/.272/.307	.089	.279	8	21	24%	6%	59	-1.1	.213/.262/.283	.070	.295	4	11	27%	6%	49	-1.8	.198/.239/.245	.047	.274	3	7	27%	5%	25	-0.9
✕Tyler Goeddel 2014 · A	21	44→49	40→45	59→55	41	.210/.263/.309	.099	.290	7	20	29%	6%	56	-1.3	.223/.279/.336	.113	.300	9	18	27%	6%	70	-0.3	.225/.286/.343	.117	.296	10	18	26%	7%	72	-0.1
●Óscar Mercado 2016 · A	21	42→52	37→55	54→60	42	.200/.242/.270	.071	.240	4	25	19%	4%	37	-2.7	.211/.261/.287	.076	.265	5	27	21%	5%	50	-1.8	.236/.299/.394	.159	.271	16	22	19%	7%	92	+0.9
✕Tyler James 2018 · A	21	44	36→30	63→65	42	.205/.267/.282	.077	.295	2	25	29%	7%	51	-1.7	.219/.282/.293	.074	.330	4	28	32%	7%	60	-1.0	.230/.297/.289	.060	.352	4	45	33%	8%	61	-0.4
✕Kuo Hui Lo 2007 · A	21	45→52	40→50	56→55	39	.214/.271/.302	.088	.313	7	23	32%	6%	58	-1.2	.225/.279/.336	.111	.308	9	21	28%	6%	69	-0.4	.224/.274/.353	.129	.294	12	20	27%	6%	70	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)