Jeiker Gudino

C DSL Tigers 2

Age 20 R/R 5'9" / 171 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	18	ROKDSL Tigers 1	70	.254/.362/.373	1	3	27	—	.164/.261/.213
2026	19	ROKDSL Tigers 2	73	.229/.486/.271	0	1	68	—	.154/.389/.173
2027PROJ0% MLB	20	MLBDET	183	.212/.297/.285	1	3	69	0.1
2028PROJ34% MLB	21	MLBDET	54	.213/.299/.294	0	1	74	0.1
2029PROJ48% MLB	22	MLBDET	142	.217/.302/.307	2	2	78	0.2

Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

wOBA83

wRC+83

Chase%80

Z-Con%75

K%74

BB%67

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsLuis Torrens (age 20) · Eddys Leonard (age 20) · Christian Cerda (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 69 proj PA

wRC+†69

AVG/OBP/SLG.210 / .295 / .282

PA69

HR0

K%25

BB%8

ISO73

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$29M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2036	Arb-1	$2M	+0.4	$0.8M	+$0.0M (cut)
2037	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2038	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$7M	+$4M

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. 2027 = actual YTD + projected ROS + total. 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 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)
2024	17	ROK	DSL Tigers 1	—	69	52	5	1	0	0	11	10	5	3	1	96	309	115	424	19	116	14	16	236	-1	—	—	—	—	—	—
2025	18	ROK	DSL Tigers 1	—	70	59	15	2	1	1	7	13	3	3	0	254	362	373	735	119	304	19	10	333	27	—	—	—	—	—	—
2026	19	ROK	DSL Tigers 2	—	73	48	11	2	0	0	13	12	11	1	0	229	486	271	757	42	306	16	18	382	68	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Tigers 1	—	69	55	4	1	0	0	8	12	5	3	1	73	250	91	341	18	80	17	12	167	-1	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 1	—	70	61	10	1	1	0	5	16	3	3	0	164	261	213	474	49	199	23	7	208	27	—	—	—	—	—	—
2026	19	ROK MLE	DSL Tigers 2	—	73	52	8	1	0	0	9	15	11	1	0	154	389	173	562	19	200	21	12	268	68	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 1	—	69	55	4	1	0	0	8	12	5	3	1	73	250	91	341	18	91	17	12	167	-1	—	—	—	—	—	—
2024	17	ROK RAW	DSL Tigers 1	—	69	52	5	1	0	0	11	10	5	3	1	96	309	115	424	19	116	14	16	236	-1	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 1	—	70	61	10	1	1	0	5	16	3	3	0	164	261	213	474	49	217	23	7	208	27	—	—	—	—	—	—
2025	18	ROK RAW	DSL Tigers 1	—	70	59	15	2	1	1	7	13	3	3	0	254	362	373	735	119	304	19	10	333	27	—	—	—	—	—	—
2026	19	ROK MLE	DSL Tigers 2	—	73	52	8	1	0	0	9	15	11	1	0	154	389	173	562	19	216	21	12	268	68	—	—	—	—	—	—
2026	19	ROK RAW	DSL Tigers 2	—	73	48	11	2	0	0	13	12	11	1	0	229	486	271	757	42	306	16	18	382	68	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 1	—	69	56	4	1	0	0	8	12	5	3	1	71	250	89	339	18	80	17	12	167	-1	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 1	—	70	62	10	1	1	0	5	16	3	3	0	161	261	210	471	48	199	23	7	208	27	—	—	—	—	—	—
2026	19	ROK MLE	DSL Tigers 2	—	73	53	8	1	0	0	9	15	11	1	0	151	389	170	559	19	200	21	12	268	68	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Tigers 1	—	69	56	4	1	0	0	8	12	5	3	1	71	250	89	339	18	80	17	12	167	-1	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 1	—	70	62	10	1	1	0	5	16	3	3	0	161	261	210	471	48	199	23	7	208	27	—	—	—	—	—	—
2026	19	ROK MLE	DSL Tigers 2	—	73	53	8	1	0	0	9	15	11	1	0	151	389	170	559	19	200	21	12	268	68	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	DET	0%	183	162	34	6	1	1	14	46	5	3	1	212	297	285	582	73	286	25	8	270	69	-7	+0	+0	+3	+4	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	DET	34%	157	140	30	5	1	1	12	39	4	2	1	217	302	300	602	84	288	25	8	278	74	-5	+0	+0	+3	+3	0.1
2029	22	MLB MLE	DET	48%	293	260	57	9	2	4	23	72	8	4	1	220	305	313	618	93	289	25	8	284	78	-8	+0	+0	+5	+6	0.4
2030	23	MLB MLE	DET	54%	388	344	78	13	3	6	31	95	10	6	2	224	308	325	632	101	290	24	8	289	82	-8	+0	+0	+7	+8	0.7
2031	24	MLB MLE	DET	55%	452	401	90	15	3	7	36	110	12	7	2	227	310	334	644	108	291	24	8	293	85	-8	+1	+0	+8	+10	1.0
2032	25	MLB MLE	DET	56%	489	434	98	16	3	9	40	119	12	7	2	228	311	342	653	114	291	24	8	297	87	-8	+1	+0	+9	+11	1.3
2033	26	MLB MLE	DET	56%	510	451	103	17	4	9	41	124	13	7	2	229	311	345	656	116	291	24	8	298	88	-7	+1	+0	+9	+11	1.4
2034	27	MLB MLE	DET	55%	519	459	104	17	4	9	42	127	13	7	2	228	310	342	652	114	290	24	8	296	87	-8	+1	+0	+9	+11	1.3
2035	28	MLB MLE	DET	55%	520	460	103	17	3	9	42	128	13	5	2	226	308	337	646	111	289	25	8	294	85	-9	+0	-1	+9	+11	1.1
2036	29	MLB MLE	DET	53%	515	455	102	17	3	9	42	128	13	3	1	223	305	331	636	107	288	25	8	290	82	-11	+0	-1	+9	+11	0.8
2037	30	MLB MLE	DET	53%	506	449	99	16	3	8	40	128	12	2	1	220	302	323	624	103	286	25	8	285	79	-13	+0	-2	+9	+11	0.5
2038	31	MLB MLE	DET	52%	479	427	92	15	3	7	38	123	11	1	1	216	297	313	609	97	283	26	8	279	75	-14	-0	-3	+9	+10	0.2
2039	32	MLB MLE	DET	56%	447	399	83	13	2	6	35	117	10	1	0	210	291	300	591	90	279	26	8	271	70	-16	+0	-4	+8	+10	-0.2
2028	21	MLB CTX	DET	34%	54	48	10	2	0	0	4	13	2	1	0	213	299	294	593	81	283	24	7	274	74	-2	+0	+0	+1	+1	0.1
2029	22	MLB CTX	DET	48%	142	126	27	4	1	2	11	35	4	2	1	217	302	307	609	90	284	25	8	280	78	-4	+0	+0	+3	+3	0.2
2030	23	MLB CTX	DET	54%	210	185	41	7	1	3	17	51	6	3	1	220	304	318	622	98	286	24	8	285	82	-5	+0	+0	+4	+5	0.4
2031	24	MLB CTX	DET	55%	251	222	50	8	2	4	20	61	7	4	1	223	306	327	634	105	287	24	8	289	85	-5	+0	+0	+4	+5	0.6
2032	25	MLB CTX	DET	56%	274	243	55	9	2	5	22	66	7	4	1	225	308	335	642	110	287	24	8	292	87	-4	+0	+0	+5	+6	0.7
2033	26	MLB CTX	DET	56%	287	255	57	9	2	5	23	70	7	4	1	225	308	337	645	112	287	24	8	293	88	-4	+0	+0	+5	+6	0.8
2034	27	MLB CTX	DET	55%	287	255	57	9	2	5	23	70	7	4	1	224	307	334	642	111	286	24	8	292	87	-5	+0	+0	+5	+6	0.7
2035	28	MLB CTX	DET	55%	285	253	56	9	2	5	23	70	7	3	1	222	305	330	635	108	285	25	8	289	85	-5	+0	-0	+5	+6	0.6
2036	29	MLB CTX	DET	53%	275	244	54	9	2	4	22	68	7	2	1	219	302	324	626	104	284	25	8	286	82	-6	+0	-1	+5	+6	0.4
2037	30	MLB CTX	DET	53%	266	237	51	8	2	4	21	67	6	1	1	216	299	316	614	99	282	25	8	281	79	-7	-0	-1	+5	+6	0.3
2038	31	MLB CTX	DET	52%	250	222	47	8	1	3	20	64	6	1	0	212	294	306	600	94	278	26	8	275	75	-7	+0	-1	+4	+5	0.1
2039	32	MLB CTX	DET	56%	251	223	46	7	1	3	20	65	6	1	0	207	288	294	582	87	275	26	8	268	70	-9	+0	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2832	2513	551	89	18	43	226	700	72	30	9	219	302	320	622	101	285	25	8	285	80	-61	+2	-6	+51	+61	4.8
/ 162G	—	A+C		—	650	577	126	20	4	10	52	161	17	7	2	218	302	319	621	101	284	25	8	285	80	-14	+1	-1	+12	+14	1.1
Career	—	MLE		—	5556	4909	1074	175	36	84	449	1370	152	60	18	219	304	320	624	102	284	25	8	286	80	-118	+4	-10	+95	+116	8.8
/ 162G	—	MLE		—	650	574	125	20	4	10	53	160	18	7	2	218	304	319	623	101	283	25	8	286	80	-14	+0	-1	+12	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#3Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#4Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.4	2,901	46	28	224	303	329	+52	+28	6.9	6.2
/162	664	10	7	+11.9	+6.4	1.6	pk7: 6
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 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
Jeiker Gudino (OGILVIE)	20	—	—	—	—	210/295/282	72	286	0	1	25%	8%	69	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Torrens 2016 · A	20	43→49	39→50	49→40	45	207/279/288	81	285	6	6	28%	8%	63	-1.3	212/273/295	83	270	6	4	22%	7%	62	-1.4	233/290/382	149	292	18	0	26%	7%	89	+0.3
✕Eddys Leonard 2021 · A	20	42→47	39→50	45→50	45	198/273/287	89	286	6	8	31%	8%	61	-1.5	229/297/377	148	305	16	5	29%	7%	91	+0.6	227/295/375	148	296	16	4	28%	6%	86	+0.3
✕Christian Cerda 2023 · A	20	40	39→45	50→40	53	189/279/278	88	244	6	9	23%	10%	61	-1.5	198/297/302	104	263	10	4	26%	12%	74	-0.5	187/288/292	105	240	12	2	26%	12%	67	-0.7
✕Jesus Rodriguez 2022 · A	20	44→54	37→45	48→50	52	204/280/284	80	260	3	11	21%	9%	62	-1.4	241/302/355	114	291	9	13	19%	7%	86	+0.3	265/326/372	107	319	9	16	19%	7%	96	+0.8
✕Andres Melendez 2021 · A	20	43	37→50	46→40	46	206/267/283	78	262	4	5	22%	7%	57	-1.8	213/291/333	120	335	11	5	36%	9%	78	-0.3	196/288/335	139	309	13	2	37%	11%	76	-0.2
✕Leo Jiménez 2021 · A	20	44→52	37→45	50→45	46	210/269/289	79	269	4	6	23%	7%	59	-1.7	240/354/332	92	308	6	8	22%	10%	103	+1.5	236/342/334	98	302	8	8	22%	9%	97	+0.6
✕Wilfredo Rodriguez 2014 · A	20	48	39→40	47→50	44	231/276/323	91	287	5	5	21%	6%	69	-0.9	235/273/310	75	276	5	6	16%	4%	64	-1.3	240/274/305	65	276	5	5	15%	4%	63	-0.7
✕Yorberto Mejicano 2021 · A	20	44	36→45	53→45	48	207/271/275	68	270	3	10	23%	8%	57	-1.8	225/279/332	107	302	11	8	28%	6%	73	-0.6	213/267/311	98	282	10	9	27%	6%	61	-0.6
✕Chris Suero 2024 · A	20	41→38	41→45	50→55	50	196/295/291	95	281	8	8	31%	10%	71	-0.8	193/290/309	116	280	12	20	33%	10%	74	-0.6	181/287/307	126	264	14	27	34%	10%	70	-0.7
✕Darrien Miller 2021 · A	20	42	36→45	47→45	43	198/274/269	70	273	3	8	27%	6%	57	-1.8	204/306/321	117	276	13	6	29%	9%	82	+0.0	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Miguel Palma 2021 · A	19	40	39→45	48→40	45	193/281/280	88	261	6	11	27%	7%	63	-1.3	215/293/337	122	281	13	5	27%	8%	80	-0.1	217/284/341	124	274	15	2	26%	7%	76	-0.2
✕Luke Williams 2017 · A	20	46→44	36→45	50→65	47	216/284/281	65	293	3	11	26%	8%	63	-1.4	196/247/266	70	262	5	17	26%	6%	45	-2.7	229/291/325	96	311	8	37	27%	7%	74	-0.3
✕Luis Caicuto 2024 · A	21	48	37→45	46→50	46	223/294/301	78	298	4	6	25%	8%	72	-0.7	210/278/278	68	274	4	6	23%	6%	61	-1.5	197/271/279	82	244	7	8	21%	7%	57	-0.7
●Cody Freeman 2021 · A	20	44→54	36→50	49→50	50	206/290/273	66	276	3	10	24%	9%	64	-1.3	205/269/313	108	250	11	9	22%	7%	65	-1.2	257/301/394	137	287	15	10	16%	5%	94	+0.6
✕Tucker Mitchell 2022 · A	21	42	40→50	51→45	39	201/262/292	91	296	7	7	33%	6%	57	-1.8	195/270/308	113	293	13	8	36%	7%	65	-1.2	180/256/294	114	253	15	7	34%	7%	55	-0.8
✕Jacob Amaya 2018 · A	19	44→47	39→45	48→45	46	211/280/295	84	285	6	8	27%	8%	65	-1.2	225/304/318	93	298	6	8	24%	10%	79	-0.2	218/291/330	112	279	11	6	25%	9%	75	-0.4
✕Tomás Nido 2015 · A	21	44→45	39→45	49→30	43	213/268/301	88	286	6	7	27%	6%	61	-1.5	234/265/337	103	307	9	2	26%	4%	68	-1.0	244/279/354	110	291	9	0	19%	4%	75	-0.3
✕Jason Lopez 2018 · A	20	39	37→50	47→45	46	188/260/261	73	250	5	9	26%	8%	50	-2.3	207/250/323	116	289	11	6	31%	5%	60	-1.6	192/240/305	113	271	11	8	32%	6%	50	-1.0
✕Carlos Rodriguez 2023 · A	20	37	39→45	47→45	49	178/272/261	83	262	6	6	32%	10%	55	-1.9	190/264/264	74	295	5	6	34%	9%	52	-2.2	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Jakson Reetz 2016 · A	20	47→33	38→55	48→45	47	216/306/297	80	310	4	9	29%	9%	76	-0.4	202/282/291	89	302	6	5	32%	7%	65	-1.2	198/277/386	187	246	23	4	29%	6%	83	+0.0

Jeiker Gudino

Career Stats + Projections

Career Comps

Career Path Comps