Fabian Dorta

C DSL Tigers 1

Age 19 R/R 5'10" / 173 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1218ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Tigers 1	45	.256/.341/.333	0	4	23	—	.171/.227/.220
2026	18	ROKDSL Tigers 1	95	.329/.430/.443	1	2	62	—	.207/.301/.256
2027PROJMLE	19	MLBDET	205	.222/.286/.299	1	3	67	0.0
2028PROJ34% MLB	20	MLBDET	37	.222/.288/.306	0	1	72	0.0
2029PROJ48% MLB	21	MLBDET	98	.225/.292/.316	1	2	76	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

K%82

Z-Con%78

wOBA76

Whiff%70

wRC+57

ISO49

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsMiguel Palma (age 19) · Andrés Nolaya (age 19) · Jason Lopez (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 51 proj PA

wRC+†67

AVG/OBP/SLG.220 / .284 / .297

PA51

HR0

K%24

BB%7

ISO77

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	+0.6	$1M	+$0.9M
2036	Arb-1	$2M	+0.5	$1M	+$0.2M
2037	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2038	Arb-3	$3M	+0.2	$0.3M	+$0.0M (cut)
Totals		$5M		$6M	+$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)
2025	17	ROK	DSL Tigers 1	—	45	39	10	3	0	0	5	6	0	4	1	256	341	333	674	77	294	13	11	304	23	—	—	—	—	—	—
2026	18	ROK	DSL Tigers 1	—	95	79	26	4	1	1	10	14	4	2	1	329	430	443	873	114	379	15	11	388	62	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Tigers 1	—	45	41	7	2	0	0	3	7	0	4	1	171	227	220	447	49	189	16	7	202	23	—	—	—	—	—	—
2026	18	ROK MLE	DSL Tigers 1	—	95	82	17	2	1	0	7	17	4	2	1	207	301	256	557	49	245	18	7	260	62	—	—	—	—	—	—
2025	17	ROK MLE	DSL Tigers 1	—	45	41	7	2	0	0	3	7	0	4	1	171	227	220	447	49	200	16	7	202	23	—	—	—	—	—	—
2025	17	ROK RAW	DSL Tigers 1	—	45	39	10	3	0	0	5	6	0	4	1	256	341	333	674	77	294	13	11	304	23	—	—	—	—	—	—
2026	18	ROK MLE	DSL Tigers 1	—	95	82	17	2	1	0	7	17	4	2	1	207	301	256	557	49	254	18	7	260	62	—	—	—	—	—	—
2026	18	ROK RAW	DSL Tigers 1	—	95	79	26	4	1	1	10	14	4	2	1	329	430	443	873	114	379	15	11	388	62	—	—	—	—	—	—
2025	17	ROK MLE	DSL Tigers 1	—	45	42	7	2	0	0	3	7	0	4	1	167	227	214	442	48	189	16	7	202	23	—	—	—	—	—	—
2026	18	ROK MLE	DSL Tigers 1	—	95	84	17	2	1	0	7	17	4	2	1	202	301	250	551	48	245	18	7	260	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Tigers 1	—	45	42	7	2	0	0	3	7	0	4	1	167	227	214	442	48	189	16	7	202	23	—	—	—	—	—	—
2026	18	ROK MLE	DSL Tigers 1	—	95	84	17	2	1	0	7	17	4	2	1	202	301	250	551	48	245	18	7	260	62	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	DET	0%	205	186	41	7	2	1	14	48	3	3	1	222	286	299	585	77	289	23	7	267	67	-8	+0	+0	+4	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	DET	34%	108	97	22	4	1	1	8	25	2	2	1	225	291	312	603	86	290	23	7	274	72	-4	+0	+0	+2	+2	0.1
2029	21	MLB MLE	DET	48%	202	183	41	7	1	2	14	47	3	4	1	228	295	323	618	94	291	23	7	280	76	-6	+0	+0	+4	+4	0.3
2030	22	MLB MLE	DET	54%	314	283	65	11	2	4	23	73	5	6	2	231	298	332	631	101	292	23	7	285	79	-8	+0	+0	+6	+7	0.5
2031	23	MLB MLE	DET	57%	397	359	83	14	3	6	29	91	6	7	2	233	301	341	642	107	293	23	7	290	82	-8	+1	+0	+7	+9	0.8
2032	24	MLB MLE	DET	57%	445	403	95	16	3	8	33	102	6	8	2	235	303	348	651	112	294	23	7	293	85	-8	+1	+0	+8	+10	1.0
2033	25	MLB MLE	DET	57%	445	403	95	16	3	8	33	102	6	8	2	236	304	350	654	114	294	23	7	295	85	-8	+1	+0	+8	+10	1.1
2034	26	MLB MLE	DET	56%	445	403	95	16	3	8	33	102	6	8	2	236	304	352	656	116	294	23	7	295	86	-7	+1	+0	+8	+10	1.1
2035	27	MLB MLE	DET	55%	445	403	94	16	3	8	33	103	6	8	2	235	303	349	652	114	293	23	7	294	85	-8	+1	+0	+8	+10	1.1
2036	28	MLB MLE	DET	55%	445	403	94	16	3	8	33	104	6	7	3	233	301	345	645	111	292	23	7	291	83	-9	+0	-1	+8	+10	0.8
2037	29	MLB MLE	DET	58%	445	403	93	16	3	7	33	105	6	7	3	231	298	338	636	108	291	24	7	287	81	-10	+0	-1	+8	+10	0.6
2038	30	MLB MLE	DET	60%	445	403	92	15	3	7	33	106	6	7	3	227	294	330	625	103	289	24	7	283	77	-12	+0	-2	+8	+10	0.4
2039	31	MLB MLE	DET	62%	426	387	85	14	2	6	31	103	5	6	4	223	289	320	610	97	286	24	7	276	73	-14	-0	-3	+8	+9	0.0
2028	20	MLB CTX	DET	34%	37	33	7	1	0	0	3	9	1	1	0	222	288	306	594	84	286	24	8	271	72	-1	+0	+0	+1	+1	0.0
2029	21	MLB CTX	DET	48%	98	90	20	3	1	1	7	23	1	2	1	225	292	316	608	92	287	23	7	276	76	-3	+0	+0	+2	+2	0.1
2030	22	MLB CTX	DET	54%	170	154	35	6	1	2	12	39	2	3	1	227	295	326	621	98	288	23	7	281	79	-4	+0	+0	+3	+4	0.3
2031	23	MLB CTX	DET	57%	225	204	47	8	2	3	16	52	3	4	1	230	298	334	631	104	289	23	7	285	82	-5	+0	+0	+4	+5	0.5
2032	24	MLB CTX	DET	57%	252	227	53	9	2	4	19	58	4	5	1	231	300	340	640	109	290	23	8	289	85	-5	+1	+0	+4	+5	0.6
2033	25	MLB CTX	DET	57%	251	226	53	9	2	4	19	58	4	4	1	232	300	343	643	111	290	23	8	290	85	-4	+0	+0	+4	+5	0.6
2034	26	MLB CTX	DET	56%	251	227	53	9	2	4	19	58	3	4	1	232	300	344	645	112	289	23	8	291	86	-4	+0	+0	+4	+5	0.6
2035	27	MLB CTX	DET	55%	247	224	52	9	2	4	18	57	3	4	1	231	299	342	641	111	289	23	7	289	85	-4	+0	+0	+4	+5	0.6
2036	28	MLB CTX	DET	55%	244	221	51	9	2	4	18	57	3	4	1	229	297	337	634	108	288	23	7	287	83	-5	+0	-0	+4	+5	0.5
2037	29	MLB CTX	DET	58%	258	234	53	9	2	4	19	61	3	4	2	227	295	331	625	104	286	24	7	283	81	-6	+0	-1	+5	+6	0.3
2038	30	MLB CTX	DET	60%	268	243	55	9	2	4	20	64	3	4	2	224	291	323	614	100	285	24	7	278	77	-7	+0	-1	+5	+6	0.2
2039	31	MLB CTX	DET	62%	263	239	54	9	2	4	19	64	3	4	3	220	286	314	600	94	282	24	7	272	73	-8	-0	-2	+5	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2564	2322	533	90	20	38	189	600	33	43	15	230	297	335	631	105	292	23	7	284	80	-57	+3	-4	+46	+56	4.4
/ 162G	—	A+C		—	650	589	136	23	5	10	48	152	8	11	4	231	298	338	636	107	293	23	7	284	80	-14	+1	-1	+12	+14	1.1
Career	—	MLE		—	4753	4299	988	167	31	73	350	1099	68	85	29	230	298	334	632	104	290	23	7	287	80	-104	+5	-7	+82	+100	7.8
/ 162G	—	MLE		—	650	588	135	23	4	10	48	150	9	12	4	230	298	333	631	104	290	23	7	287	80	-15	+1	-1	+12	+14	1.1

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 1 · 95 PAwOBA .386 → .260 (−127)K% 14.7% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.74%	÷1.000	×1.220	—	—	17.98%
BB% (unintentional) /PA	10.53%	÷1.000	×0.700	—	×0.995	7.33%
HBP% /PA	4.21%	—	×0.700	—	×0.995	2.93%
Singles /BIP	30.77%	÷1.000	×0.680	×0.985	×0.995	20.51%
Doubles /BIP	6.15%	÷1.000	×0.600	×0.985	×0.995	3.62%
Triples /BIP	1.54%	÷1.000	×0.600	×0.985	×0.995	0.90%
Home runs /BIP	1.54%	÷1.000	×0.470	—	×0.995	0.72%

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 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 ×0.985.

Result: wOBA .386 → .260; ISO .114 → .065; BABIP .379 → .245. 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 · 45 PAwOBA .303 → .202 (−101)K% 13.3% → 16.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.33%	÷0.987	×1.220	—	—	16.49%
BB% (unintentional) /PA	11.11%	÷1.026	×0.700	—	×1.008	7.64%
HBP% /PA	0.00%	—	×0.700	—	×1.008	0.00%
Singles /BIP	21.21%	÷1.045	×0.680	—	×1.008	13.91%
Doubles /BIP	9.09%	÷0.999	×0.600	—	×1.008	5.50%
Triples /BIP	0.00%	÷1.102	×0.600	—	×1.008	0.00%
Home runs /BIP	0.00%	÷3.212	×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 542, 1B 109, 2B 100, 3B 120, K 97, BB 105 — 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).

Result: wOBA .303 → .202; ISO .077 → .048; BABIP .294 → .189. 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 8 projected seasons	3.9	2,616	42	45	233	297	340	+47	+32	6.3	5.6
/162	664	11	11	+11.9	+8.1	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
Fabian Dorta (OGILVIE)	19	—	—	—	—	220/284/297	77	289	0	1	24%	7%	67	-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
✕Andrés Nolaya 2024 · A	19	39	36→45	47→50	46	183/256/246	64	263	3	12	30%	8%	45	-2.7	196/270/269	73	284	4	17	30%	8%	55	-1.9	201/281/282	81	280	7	21	28%	8%	61	-0.5
✕Jason Lopez 2017 · A	19	39	37→50	49→45	46	189/256/259	71	249	5	11	25%	7%	48	-2.5	203/254/307	104	277	9	7	29%	6%	57	-1.8	192/240/305	113	271	11	8	32%	6%	50	-1.0
✕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
✕Johanfran Garcia 2024 · A	19	41	40→50	49→45	42	199/270/291	93	282	8	6	31%	7%	61	-1.5	219/276/349	130	326	16	5	36%	6%	76	-0.4	218/265/369	151	318	23	4	38%	5%	74	-0.3
✕Thayron Liranzo 2022 · A	19	43	37→50	49→30	47	202/280/280	77	287	4	8	29%	9%	62	-1.4	208/291/366	158	303	18	3	35%	10%	86	+0.3	203/298/375	172	290	20	1	35%	11%	87	+0.2
✕Daniel Lopez 2011 · A	19	42	35→45	49→60	43	194/267/256	61	260	2	12	24%	6%	52	-2.2	219/280/308	89	280	5	17	22%	6%	68	-1.0	240/299/357	117	293	6	30	19%	5%	83	+0.0
✕Chris Suero 2023 · A	19	40→38	37→45	47→55	52	185/290/259	74	266	4	8	29%	11%	62	-1.4	194/289/297	103	280	10	14	31%	10%	70	-0.8	181/287/307	126	264	14	27	34%	10%	70	-0.7
✕Adrian De Leon 2023 · A	19	41	37→40	47→45	46	194/269/265	72	268	4	7	28%	8%	55	-2.0	194/292/269	75	320	6	5	37%	9%	65	-1.2	160/270/224	63	280	5	3	40%	10%	47	-1.1
✕Jesús Báez 2024 · A	19	35→41	40→55	45	46	177/246/265	88	234	7	9	27%	8%	46	-2.6	218/275/368	150	257	19	8	23%	6%	80	-0.1	226/279/407	181	249	27	8	22%	6%	89	+0.4
✕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
✕Denzer Guzman 2023 · A	19	38→48	39→45	47→50	43	188/246/273	85	256	6	9	28%	7%	47	-2.6	195/254/294	99	297	8	8	35%	7%	55	-2.0	217/278/341	124	295	14	11	30%	7%	72	-0.6
✕Christian Cerda 2022 · A	19	38→40	37→45	47→40	51	178/266/252	74	226	3	8	21%	9%	51	-2.2	196/294/293	97	262	8	6	26%	11%	71	-0.8	190/299/286	95	257	10	4	27%	13%	70	-0.5
✕Jose Rosario 2011 · A	19	41	38→40	50	42	199/262/275	76	274	5	10	28%	6%	54	-2.0	214/261/320	106	270	10	12	24%	4%	63	-1.3	230/277/334	104	276	9	10	19%	4%	68	-0.4
✕Juan Mora 2019 · A	19	44	37→45	46→55	51	205/287/284	78	263	3	8	22%	9%	65	-1.2	197/282/292	95	244	7	14	21%	8%	65	-1.2	200/269/297	97	251	8	12	23%	6%	60	-0.7
✕Brennen Davis 2019 · A	19	48→43	36→50	51→45	46	221/300/290	68	306	3	12	26%	8%	72	-0.7	233/303/375	142	314	15	8	29%	7%	93	+0.8	188/287/362	173	236	23	4	30%	8%	83	+0.0
✕Juan Uriarte 2017 · A	19	40	37→45	45→30	42	191/256/259	68	246	4	5	24%	6%	48	-2.5	210/260/300	90	277	8	4	26%	4%	58	-1.7	184/228/264	80	253	7	0	29%	3%	36	-1.0
✕Pedro Severino 2012 · A	19	37→47	39→50	49→45	40	185/238/269	84	259	7	4	30%	6%	43	-2.8	195/239/273	78	247	5	3	22%	5%	44	-2.8	242/310/379	137	297	17	3	24%	8%	96	+0.5
✕Jose Paez 2013 · A	19	44	38→45	50	46	210/269/292	82	266	4	13	22%	6%	59	-1.6	202/248/279	77	299	4	11	32%	5%	49	-2.4	176/218/244	68	280	3	12	36%	4%	25	-1.1
✕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

Fabian Dorta

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps