Carlos Gutierrez

Carlos GutierrezOF Lynchburg Hillcats

Age 22 L/L 5'6" / 135 lbs A K +5%HR +5% Svc 0.0 · Ctrl thru 2036 peak 0.7 · 2031

wRC+†68

AVG/OBP/SLG.212 / .279 / .322

PA96

HR2

K%28

BB%8

MLB%0%

trajectory · 10 yrs

0.7peak

2030

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Arb-3	$0.9M	+0.7	$3M	+$2M
2032	Ext / FA-deal	$0.9M	+0.6	$3M	+$2M
2033	Ext / FA-deal	$1.0M	+0.4	$2M	+$1M
2034	Ext / FA-deal	$0.4M	+0.2	$1M	+$0.6M
2035	Ext / FA-deal	$5M	—	—	—
2036	Ext / FA-deal	$0.6M	—	—	—
Totals		$9M		$7M	-$1M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
2021	17	ROK	DSL Indians Red	106	91	12	2	1	0	11	28	4	6	0	.132	.255	.176	.431	.044	.190	26	10	.198	10	-11	+1	+0	-1	+3	-0.7
2022	18	ROK	DSL CLE Blue	145	131	25	8	2	0	8	37	3	5	3	.191	.254	.282	.536	.092	.258	26	6	.234	37	-10	-0	+0	-1	+4	-0.7
2023	19	ROK	DSL Guardians Blue	100	91	27	6	0	0	9	24	0	10	1	.297	.360	.363	.723	.066	.403	24	9	.321	104	+0	+2	+0	-1	+3	0.4
2024	20	ROK	ACL Guardians	125	112	22	3	0	1	7	44	2	11	1	.196	.256	.250	.506	.054	.296	35	6	.222	28	-10	+2	+0	-1	+4	-0.6
2025	21	A	2 teams	90	81	12	3	0	0	7	26	1	3	4	.148	.225	.185	.410	.037	.214	29	8	.200	12	-9	-1	+0	-1	+3	-0.8
▸ 2026 Season
2026	22	MLB	CLE	96	88	19	3	1	2	7	27	1	2	0	.216	.281	.341	.622	.125	.286	28	7	.274	68	-4	+0	+0	-1	+3	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	CLE	185	166	37	7	1	4	15	50	2	3	1	.223	.295	.349	.644	.127	.288	27	8	.288	79	-4	+0	+0	-1	+5	-0.0
2028	24	MLB 26%	CLE	296	266	61	11	2	8	25	79	3	5	1	.229	.303	.376	.679	.147	.290	27	8	.298	86	-5	+1	+0	-2	+8	0.3
2029	25	MLB 43%	CLE	364	326	75	14	2	10	31	95	4	7	2	.230	.305	.377	.682	.147	.291	26	9	.303	90	-4	+1	+0	-2	+10	0.5
2030	26	MLB 58%	CLE	407	365	83	15	2	11	35	106	4	7	2	.227	.302	.370	.672	.142	.291	26	9	.307	93	-3	+1	+0	-2	+12	0.6
2031	27	MLB 76%	CLE	427	382	88	16	2	12	38	112	4	7	2	.230	.307	.377	.684	.147	.291	26	9	.307	93	-3	+1	+0	-3	+12	0.7
2032	28	MLB 84%	CLE	437	391	89	16	2	12	39	115	4	7	1	.228	.304	.371	.675	.143	.291	26	9	.305	92	-4	+1	-1	-3	+12	0.6
2033	29	MLB 90%	CLE	435	389	88	16	2	12	39	116	4	6	1	.226	.303	.370	.673	.144	.290	27	9	.303	90	-5	+1	-1	-3	+12	0.4
2034	30	MLB	CLE	431	385	86	16	2	11	39	116	4	5	1	.223	.301	.361	.662	.138	.289	27	9	.300	88	-6	+1	-2	-3	+12	0.2
2035	31	MLB	CLE	420	375	83	15	2	11	38	115	4	3	0	.221	.300	.360	.660	.139	.287	27	9	.296	85	-7	+1	-3	-3	+12	0.0
2036	32	MLB	CLE	404	361	79	14	2	10	36	113	4	1	0	.219	.297	.352	.649	.133	.286	28	9	.292	81	-8	+0	-4	-2	+11	-0.3
2037	33	MLB	CLE	375	336	73	13	2	9	33	107	3	0	0	.217	.293	.348	.641	.131	.284	29	9	.286	77	-10	+0	-4	-2	+11	-0.6
2038	34	MLB	CLE	331	296	62	11	2	7	29	98	3	0	0	.209	.287	.331	.618	.122	.283	30	9	.280	72	-10	+0	-5	-2	+9	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			5174	4632	1021	189	27	120	446	1408	54	88	20	.220	.296	.351	.647	.130	.287	27	9	.291	81	-113	+10	-20	-31	+147	-0.8
/ 162G	—			650	582	128	24	3	15	56	177	7	11	3	.220	.297	.349	.645	.129	.287	27	9	.291	81	-14	+1	-2	-4	+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
2021	17	ROK	DSL Indians Red	106	84	14	2	1	0	18	20	4	6	0	.167	.340	.214	.554	.048	.219	19	17	.280	72	-3	+1	—	—	+3	0.1
2022	18	ROK	DSL CLE Blue	145	125	30	9	3	0	14	24	3	5	3	.240	.331	.360	.691	.120	.288	17	10	.308	94	-1	-0	—	—	+4	0.3
2023	19	ROK	DSL Guardians Blue	100	86	32	7	0	0	14	17	0	10	1	.372	.460	.453	.913	.081	.464	17	14	.414	175	+8	+2	—	—	+3	1.3
2024	20	ROK	ACL Guardians	125	108	28	5	0	1	11	30	2	11	1	.259	.339	.333	.672	.074	.333	24	9	.300	88	-2	+2	—	—	+4	0.4
2025	21	A	Lynchburg Hillcats	48	44	11	3	0	0	3	9	0	2	2	.250	.298	.318	.616	.068	.306	19	6	.275	68	-2	-0	—	—	+1	-0.1
2025	21	ROK	ACL Guardians	42	32	4	1	0	0	9	10	1	1	2	.125	.333	.156	.490	.031	.182	24	21	.262	59	-2	-1	—	—	+1	-0.1

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
Carlos Gutierrez (OGILVIE)	22	—	—	—	—	.212/.279/.322	.111	.286	2	2	28%	8%	68	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Parker Meadows 2022 · A	22	37→47	41→55	44→55	41	.185/.244/.280	.095	.257	9	9	31%	7%	41	-2.3	.218/.280/.374	.156	.279	17	16	27%	7%	82	+0.5	.225/.292/.400	.175	.278	20	21	26%	8%	91	+1.1
✕Akil Baddoo 2021 · A	22	41→51	43→55	55	44	.198/.268/.314	.116	.295	9	14	34%	8%	60	-1.0	.234/.308/.374	.140	.313	14	21	27%	10%	92	+1.2	.232/.314/.375	.143	.300	15	24	26%	11%	91	+0.8
✕Travis Blankenhorn 2019 · A	22	40→43	45→55	51→50	38	.201/.261/.328	.127	.288	11	7	33%	6%	61	-1.0	.215/.262/.357	.142	.295	16	9	32%	5%	69	-0.4	.211/.283/.380	.168	.276	21	6	31%	8%	81	+0.3
✕Nicky Delmonico 2014 · A	22	39→47	49→55	48→45	46	.202/.276/.345	.143	.261	17	8	29%	8%	72	-0.2	.215/.272/.359	.144	.291	15	6	30%	7%	74	-0.1	.233/.301/.393	.161	.284	18	4	24%	8%	92	+0.9
✕Nick Maton 2019 · A	22	41	43→50	47→45	40	.205/.254/.316	.111	.280	10	6	30%	6%	54	-1.4	.206/.270/.307	.101	.282	9	8	28%	7%	59	-1.1	.214/.305/.368	.154	.264	18	4	25%	10%	88	+0.6
✕Carlos Guzman 2008 · A	22	40→48	43→50	53→50	44	.197/.278/.309	.112	.288	11	9	33%	8%	64	-0.8	.221/.269/.333	.112	.308	12	9	31%	6%	65	-0.7	.235/.287/.332	.097	.308	10	3	26%	6%	70	-0.2
✕Chris Meyers 2022 · A	23	41→46	42→50	51→40	45	.201/.269/.304	.103	.264	9	11	26%	7%	59	-1.1	.222/.280/.362	.140	.293	16	7	29%	6%	79	+0.3	.226/.286/.378	.152	.294	19	3	29%	6%	82	+0.3
✕Jace Jung 2023 · A	22	45→42	39→55	50→40	50	.212/.293/.305	.093	.295	6	8	28%	10%	69	-0.4	.219/.303/.384	.165	.289	20	4	29%	10%	94	+1.3	.212/.303/.382	.169	.274	21	3	29%	11%	91	+1.0
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	.188/.259/.305	.117	.281	12	9	36%	7%	55	-1.4	.194/.278/.291	.097	.346	7	8	42%	9%	59	-1.1	.146/.273/.221	.075	.359	3	4	52%	12%	39	-0.5
✕Daniel Schneemann 2019 · A	22	39→49	40→50	50	43	.189/.254/.283	.094	.277	7	6	33%	8%	46	-2.0	.211/.272/.298	.087	.290	7	8	28%	7%	57	-1.2	.226/.305/.377	.151	.297	15	13	28%	10%	89	+0.7
✕Conner Capel 2019 · A	22	41→45	44→45	47→55	44	.208/.266/.330	.122	.270	11	11	27%	7%	63	-0.8	.210/.262/.328	.118	.279	12	11	28%	6%	61	-1.0	.216/.288/.339	.123	.271	13	19	24%	8%	71	-0.2
✕Roman Pena 2009 · A	22	42→52	43→50	45	38	.208/.259/.316	.108	.298	10	6	33%	6%	57	-1.2	.196/.258/.303	.107	.276	10	8	31%	7%	53	-1.5	.233/.303/.392	.159	.312	16	7	29%	9%	92	+0.8
✕Drew Robinson 2014 · A	22	43→41	44→55	49→50	45	.206/.285/.324	.118	.300	10	8	33%	9%	71	-0.3	.189/.264/.329	.140	.281	15	11	36%	9%	63	-0.8	.207/.288/.362	.155	.320	17	12	37%	10%	78	+0.1
✕Mike Papi 2015 · A	22	39→47	41→45	50→45	50	.193/.270/.290	.097	.251	9	7	26%	9%	56	-1.3	.198/.278/.306	.108	.280	9	6	30%	9%	63	-0.8	.211/.294/.337	.126	.280	14	4	28%	10%	76	+0.1
✕Jason Martin 2017 · A	21	43→50	45→60	48→50	45	.216/.275/.346	.130	.280	12	13	27%	7%	71	-0.3	.222/.270/.365	.143	.297	15	12	29%	6%	74	-0.1	.218/.285/.408	.191	.271	26	8	29%	8%	90	+0.7
✕Tirso Ornelas 2022 · A	22	40→50	38→50	48→45	44	.191/.257/.275	.084	.274	5	5	31%	8%	46	-2.0	.236/.295/.354	.118	.303	11	6	25%	7%	82	+0.5	.245/.303/.373	.128	.302	14	7	23%	7%	87	+0.8
✕Sam Hilliard 2016 · A	22	46→48	44→55	53→55	44	.221/.283/.347	.127	.309	10	10	30%	8%	75	-0.0	.209/.260/.321	.112	.328	11	18	37%	6%	58	-1.2	.203/.279/.381	.178	.280	21	18	34%	9%	80	+0.2
✕Daniel Palka 2014 · A	22	45→43	44→60	44→50	44	.219/.279/.340	.121	.291	11	5	28%	7%	72	-0.2	.210/.267/.378	.168	.293	21	8	34%	7%	77	+0.1	.212/.281/.401	.189	.265	26	4	30%	8%	87	+0.7
✕Juan Silva 2013 · A	22	45→47	42→45	48→55	46	.215/.287/.318	.103	.305	9	12	30%	9%	69	-0.4	.227/.304/.329	.102	.305	8	23	26%	10%	79	+0.3	.224/.305/.319	.095	.293	7	29	24%	10%	74	-0.1
✕Luis Liberato 2018 · A	22	43→51	44→50	50	40	.209/.260/.333	.124	.300	10	7	33%	6%	61	-1.0	.216/.262/.350	.134	.285	15	7	29%	6%	67	-0.5	.210/.278/.360	.150	.290	16	9	32%	8%	75	+0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)