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

OGV OFP35OGV rank#1023ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Tigers 1	69	.096/.309/.115	0	3	-1	—	.073/.250/.091
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
2027PROJMLE	20	MLBDET	183	.212/.297/.285	1	3	69	0.0
2028PROJ34% MLB	21	MLBDET	33	.213/.299/.294	0	0	74	0.0
2029PROJ48% MLB	22	MLBDET	90	.217/.302/.307	1	1	78	0.1

Next 3 projected WAR 0.2Projected 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 WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsWilfredo Rodriguez (age 20) · Chris Suero (age 20) · Luis Caicuto (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 43 proj PA

wRC+†69

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

PA43

HR0

K%25

BB%8

ISO73

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$23M 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	+0.6	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2035	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2036	Arb-1	$2M	+0.4	$0.8M	+$0.1M
2037	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2038	Arb-3	$1M	+0.1	$0.2M	+$0.0M (cut)
Totals		$5M		$5M	+$3M

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 = full-season projection (no games played yet). 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 1-3 WAR low.

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	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	DET	34%	97	86	19	3	1	1	8	24	3	1	0	217	302	300	602	84	288	25	8	278	74	-3	+0	+0	+2	+2	0.1
2029	22	MLB MLE	DET	48%	185	163	36	6	1	2	15	46	5	3	1	220	305	313	618	93	289	25	8	284	78	-5	+0	+0	+3	+4	0.3
2030	23	MLB MLE	DET	54%	281	248	55	9	2	4	23	69	8	4	1	224	308	325	632	101	290	25	8	289	82	-6	+0	+0	+5	+6	0.6
2031	24	MLB MLE	DET	55%	362	321	73	12	3	6	29	88	9	5	2	227	310	334	644	108	291	24	8	293	85	-7	+0	+0	+6	+8	0.8
2032	25	MLB MLE	DET	56%	407	361	83	14	3	7	33	99	10	6	2	228	311	342	653	114	291	24	8	297	87	-6	+0	+0	+7	+9	1.0
2033	26	MLB MLE	DET	56%	434	385	88	15	3	8	35	105	11	6	2	229	311	345	656	116	291	24	8	298	88	-6	+0	+0	+8	+9	1.1
2034	27	MLB MLE	DET	55%	444	394	90	15	3	8	36	108	11	6	2	228	310	342	652	114	290	24	8	296	87	-7	+0	+0	+8	+10	1.1
2035	28	MLB MLE	DET	55%	445	395	90	15	3	8	36	110	11	4	2	226	308	337	646	111	289	25	8	294	85	-8	+0	-1	+8	+10	0.9
2036	29	MLB MLE	DET	53%	439	390	87	14	3	7	35	109	11	3	1	223	305	331	636	107	288	25	8	290	82	-9	+0	-1	+8	+10	0.7
2037	30	MLB MLE	DET	53%	428	381	85	14	3	7	34	108	10	1	1	220	302	323	624	103	286	25	8	285	79	-11	-0	-2	+8	+9	0.4
2038	31	MLB MLE	DET	52%	394	351	75	12	2	6	31	101	9	1	1	216	297	313	609	97	283	26	8	279	75	-12	-0	-3	+7	+9	0.1
2039	32	MLB MLE	DET	52%	356	317	67	10	2	5	28	93	8	1	0	210	291	300	591	90	279	26	8	271	70	-13	+0	-4	+6	+8	-0.2
2028	21	MLB CTX	DET	34%	33	29	6	1	0	0	3	8	1	0	0	213	299	294	593	81	283	24	9	274	74	-1	+0	+0	+1	+1	0.0
2029	22	MLB CTX	DET	48%	90	80	18	3	1	1	7	22	3	1	0	217	302	307	609	90	284	24	8	280	78	-2	+0	+0	+2	+2	0.1
2030	23	MLB CTX	DET	54%	152	135	30	5	1	2	12	37	4	2	1	220	304	318	622	98	286	24	8	285	82	-3	+0	+0	+3	+3	0.3
2031	24	MLB CTX	DET	55%	201	178	39	6	1	3	16	49	5	3	1	223	306	327	634	105	287	24	8	289	85	-4	+0	+0	+4	+4	0.5
2032	25	MLB CTX	DET	56%	228	202	45	7	2	4	18	55	6	3	1	225	308	335	642	110	287	24	8	292	87	-4	+0	+0	+4	+5	0.6
2033	26	MLB CTX	DET	56%	244	216	49	8	2	4	20	59	6	3	1	225	308	337	645	112	287	24	8	293	88	-4	+0	+0	+4	+5	0.6
2034	27	MLB CTX	DET	55%	246	218	49	8	2	4	20	60	6	3	1	224	307	334	642	111	286	24	8	292	87	-4	+0	+0	+4	+5	0.6
2035	28	MLB CTX	DET	55%	244	216	48	8	2	4	20	60	6	2	1	222	305	330	635	108	285	25	8	289	85	-4	+0	-0	+4	+5	0.5
2036	29	MLB CTX	DET	53%	235	208	45	7	1	4	19	58	6	2	1	219	302	324	626	104	284	25	8	286	82	-5	+0	-1	+4	+5	0.4
2037	30	MLB CTX	DET	53%	225	200	43	7	1	3	18	57	5	1	1	216	299	316	614	99	282	25	8	281	79	-6	-0	-1	+4	+5	0.2
2038	31	MLB CTX	DET	52%	205	182	38	6	1	3	16	52	5	1	0	212	294	306	600	94	278	25	8	275	75	-6	+0	-1	+4	+4	0.1
2039	32	MLB CTX	DET	52%	185	165	33	5	1	2	14	48	4	0	0	207	288	294	582	87	275	26	8	268	70	-7	+0	-2	+3	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2288	2029	443	71	15	34	183	565	57	21	8	218	301	318	619	100	284	25	8	285	79	-49	+1	-6	+41	+50	3.8
/ 162G	—	A+C		—	650	576	126	20	4	10	52	161	16	6	2	219	301	319	621	101	284	25	8	285	79	-14	+0	-2	+12	+14	1.1
Career	—	MLE		—	4527	3999	877	143	30	69	368	1114	126	49	16	219	305	322	627	103	285	25	8	285	79	-94	+2	-10	+77	+93	7.0
/ 162G	—	MLE		—	650	574	126	21	4	10	53	160	18	7	2	220	305	322	628	103	285	25	8	285	79	-14	+0	-2	+12	+14	1.0

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 DSLDSL Tigers 2 · 73 PAwOBA .374 → .268 (−107)K% 16.4% → 20.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.44%	÷1.000	×1.220	—	—	20.05%
BB% (unintentional) /PA	17.81%	÷1.000	×0.700	—	×0.985	12.28%
HBP% /PA	15.07%	—	×0.700	—	×0.985	10.39%
Singles /BIP	25.00%	÷1.000	×0.680	—	×0.985	16.75%
Doubles /BIP	5.56%	÷1.000	×0.600	—	×0.985	3.28%
Triples /BIP	0.00%	÷1.000	×0.600	—	×0.985	0.00%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×0.985	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .374 → .268; ISO .042 → .029; BABIP .306 → .200. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL Tigers 1 · 70 PAwOBA .330 → .208 (−122)K% 18.6% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.57%	÷0.987	×1.220	—	—	22.96%
BB% (unintentional) /PA	10.00%	÷1.026	×0.700	—	×0.995	6.79%
HBP% /PA	4.29%	—	×0.700	—	×0.995	2.98%
Singles /BIP	23.91%	÷1.045	×0.680	×1.050	×0.995	16.26%
Doubles /BIP	4.35%	÷0.999	×0.600	×1.050	×0.995	2.73%
Triples /BIP	2.17%	÷1.102	×0.600	×1.050	×0.995	1.24%
Home runs /BIP	2.17%	÷3.212	×0.470	—	×0.995	0.32%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 542, 1B 109, 2B 100, 3B 120, K 97, BB 105 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .330 → .208; ISO .119 → .049; BABIP .304 → .199. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 DSLDSL Tigers 1 · 69 PAwOBA .235 → .167 (−68)K% 14.5% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.49%	÷1.002	×1.220	—	—	17.65%
BB% (unintentional) /PA	15.94%	÷1.009	×0.700	—	×1.008	11.15%
HBP% /PA	7.25%	—	×0.700	—	×1.008	5.11%
Singles /BIP	9.52%	÷1.014	×0.680	×1.025	×1.008	6.59%
Doubles /BIP	2.38%	÷0.958	×0.600	×1.025	×1.008	1.54%
Triples /BIP	0.00%	÷1.150	×0.600	×1.025	×1.008	0.00%
Home runs /BIP	0.00%	÷1.105	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 103, 2B 92, 3B 130, K 100, BB 102 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .235 → .167; ISO .019 → .014; BABIP .116 → .080. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.5	2,330	37	23	224	303	330	+42	+28	5.6	5.1
/162	664	11	6	+11.9	+8.0	1.6	pk7: 5
#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	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕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
✕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
✕Michael Arroyo 2024 · A	19	44→51	40→50	46→50	49	208/316/308	101	279	6	7	25%	9%	84	+0.1	228/322/372	144	297	15	11	27%	8%	99	+1.3	232/324/382	150	294	16	12	25%	8%	100	+1.3
✕Jeferson Morales 2019 · A	20	44→47	37→45	49→50	57	202/312/288	86	246	2	15	17%	11%	77	-0.3	201/291/315	114	248	8	9	21%	9%	75	-0.5	222/297/349	127	274	11	8	22%	7%	81	-0.0
✕Carlos Pérez 2011 · A	20	46→49	37→55	43→45	52	215/292/293	78	267	3	6	19%	9%	69	-0.9	224/274/313	89	287	5	4	22%	6%	65	-1.2	249/297/366	117	288	10	4	17%	6%	86	+0.2
✕Aidan Miller 2024 · A	20	49→50	38→50	52→65	47	228/303/310	83	316	4	12	27%	8%	77	-0.3	227/310/359	132	312	11	28	28%	9%	91	+0.7	224/315/364	140	306	12	36	28%	10%	91	+0.5
✕Jacob Reimer 2024 · A	20	46→49	40→45	44→50	50	217/316/303	86	302	8	5	28%	10%	82	-0.0	226/307/346	120	303	11	9	27%	9%	87	+0.4	226/302/377	150	302	15	14	28%	8%	90	+0.5
✕Luis Torrens 2017 · A	21	45→49	41→50	46→40	49	217/293/309	93	272	8	6	23%	8%	74	-0.6	218/269/313	95	273	7	3	22%	6%	64	-1.3	233/290/382	149	292	18	0	26%	7%	89	+0.3
✕Blake Ochoa 2007 · A	21	45	40→45	46→40	44	215/280/307	92	280	6	5	24%	6%	68	-1.0	215/267/309	94	279	7	4	24%	6%	63	-1.4	229/292/365	137	275	15	2	22%	7%	85	+0.1
✕Carlos Cauro 2024 · A	19	40	40	46→45	49	193/286/282	89	274	7	4	30%	10%	65	-1.2	204/280/311	107	300	11	5	33%	8%	70	-0.9	198/280/293	95	285	12	5	32%	8%	65	-0.4
✕Ronald Rosario 2023 · A	20	46→40	37→45	49→40	45	215/292/291	76	301	4	6	28%	8%	69	-0.9	203/260/295	92	302	8	3	33%	6%	57	-1.8	204/252/316	112	262	14	3	28%	5%	56	-1.2
✕Jesus Rodriguez 2021 · A	19	45→55	40→45	49→50	48	215/278/314	99	274	7	9	23%	8%	68	-1.0	227/295/327	100	280	6	12	20%	8%	78	-0.3	265/326/372	107	319	9	16	19%	7%	96	+0.8
✕Jacob Amaya 2019 · A	20	49→47	39→45	48→45	52	232/310/319	87	306	7	11	25%	10%	82	-0.0	216/290/316	100	284	8	6	25%	9%	74	-0.6	218/291/330	112	279	11	6	25%	9%	75	-0.4
✕Arturo De Freitas 2021 · A	20	44	38→40	49→40	47	206/284/292	86	276	5	7	26%	8%	66	-1.1	180/230/248	68	281	5	4	36%	5%	35	-3.4	143/186/215	72	238	8	0	42%	4%	9	-1.6
✕Luis Alvarez 2011 · A	21	45	40	48→45	47	216/287/311	94	272	7	6	22%	7%	72	-0.7	217/271/325	108	273	10	5	24%	5%	68	-1.0	209/261/319	110	249	12	1	21%	4%	60	-0.3
✕Jett Williams 2023 · A	19	45→48	41→50	56→55	44	216/287/317	101	287	8	14	26%	7%	73	-0.6	213/317/337	124	303	10	23	29%	12%	90	+0.6	212/316/350	138	296	11	26	29%	12%	89	+0.4
✕Edward Duran 2024 · A	20	47→48	37→40	46→45	52	219/293/294	74	270	4	6	19%	9%	70	-0.9	221/290/300	79	293	5	9	24%	7%	70	-0.9	215/282/294	78	290	5	9	25%	7%	63	-0.8
✕Leo Bernal 2024 · A	20	45→50	42→45	47→50	49	220/293/323	103	283	9	5	25%	9%	76	-0.4	231/296/349	118	296	13	8	25%	8%	83	+0.1	235/299/362	127	292	15	9	24%	8%	85	+0.2

Jeiker Gudino

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps