Osmar Torrealba

OF DSL CLE Goryl

Age 20 L/L 5'9" / 161 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1803ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL CLE Mendo…	75	.190/.373/.207	0	2	31	—	.145/.293/.161
2025	18	ROKDSL CLE Goryl	73	.207/.352/.259	0	1	22	—	.129/.239/.161
2026	19	ROKDSL CLE Goryl	115	.276/.452/.402	1	5	72	—	.194/.348/.280
2027PROJMLE	20	MLBPIT	225	.221/.304/.300	2	6	74	0.0
2028PROJ34% MLB	21	MLBPIT	38	.225/.308/.315	0	1	79	-0.0
2029PROJ50% MLB	22	MLBPIT	101	.229/.311/.327	1	3	84	-0.0

Next 3 projected WAR -0.0Projected 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

Whiff%99

Z-Con%98

Chase%95

K%93

wOBA83

wRC+78

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 61 proj PA

wRC+†74

AVG/OBP/SLG.219 / .301 / .297

PA61

HR0

K%22

BB%9

ISO79

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M 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	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-1	$0.6M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.3M

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.

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 CLE Mendoza	—	75	58	11	1	0	0	16	10	1	2	2	190	373	207	580	17	229	13	21	296	31	—	—	—	—	—	—
2025	18	ROK	DSL CLE Goryl	—	73	58	12	3	0	0	13	6	0	1	1	207	352	259	611	52	222	8	18	289	22	—	—	—	—	—	—
2026	19	ROK	DSL CLE Goryl	—	115	87	24	4	2	1	20	13	8	5	2	276	452	402	854	126	315	11	17	397	72	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL CLE Mendoza	—	75	62	9	1	0	0	12	12	1	2	2	145	293	161	455	16	165	16	16	214	31	—	—	—	—	—	—
2025	18	ROK MLE	DSL CLE Goryl	—	73	62	8	2	0	0	9	7	0	1	1	129	239	161	401	32	140	10	12	201	22	—	—	—	—	—	—
2026	19	ROK MLE	DSL CLE Goryl	—	115	93	18	3	1	1	14	16	8	5	2	194	348	280	627	86	215	14	12	274	72	—	—	—	—	—	—
2024	17	ROK MLE	DSL CLE Mendoza	—	75	62	9	1	0	0	12	12	1	2	2	145	293	161	455	16	180	16	16	214	31	—	—	—	—	—	—
2024	17	ROK RAW	DSL CLE Mendoza	—	75	58	11	1	0	0	16	10	1	2	2	190	373	207	580	17	229	13	21	296	31	—	—	—	—	—	—
2025	18	ROK MLE	DSL CLE Goryl	—	73	62	8	2	0	0	9	7	0	1	1	129	239	161	401	32	140	10	12	201	22	—	—	—	—	—	—
2025	18	ROK RAW	DSL CLE Goryl	—	73	58	12	3	0	0	13	6	0	1	1	207	352	259	611	52	222	8	18	289	22	—	—	—	—	—	—
2026	19	ROK MLE	DSL CLE Goryl	—	115	93	18	3	1	1	14	16	8	5	2	194	348	280	627	86	224	14	12	274	72	—	—	—	—	—	—
2026	19	ROK RAW	DSL CLE Goryl	—	115	87	24	4	2	1	20	13	8	5	2	276	452	402	854	126	315	11	17	397	72	—	—	—	—	—	—
2024	17	ROK MLE	DSL CLE Mendoza	—	75	62	9	1	0	0	12	12	1	2	2	145	293	161	455	16	165	16	16	214	31	—	—	—	—	—	—
2025	18	ROK MLE	DSL CLE Goryl	—	73	64	8	2	0	0	9	7	0	1	1	125	239	156	396	31	140	10	12	201	22	—	—	—	—	—	—
2026	19	ROK MLE	DSL CLE Goryl	—	115	92	18	3	1	1	14	16	8	5	2	196	348	283	630	87	215	14	12	274	72	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL CLE Mendoza	—	75	62	9	1	0	0	12	12	1	2	2	145	293	161	455	16	165	16	16	214	31	—	—	—	—	—	—
2025	18	ROK MLE	DSL CLE Goryl	—	73	64	8	2	0	0	9	7	0	1	1	125	239	156	396	31	140	10	12	201	22	—	—	—	—	—	—
2026	19	ROK MLE	DSL CLE Goryl	—	115	92	18	3	1	1	14	16	8	5	2	196	348	283	630	87	215	14	12	274	72	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	PIT	0%	225	200	44	7	2	2	20	50	3	6	2	221	304	300	604	79	285	22	9	278	74	-7	+0	+0	-1	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	PIT	34%	114	101	23	4	1	1	10	25	2	3	1	225	308	316	624	91	286	22	9	286	79	-3	+0	+0	-1	+2	-0.1
2029	22	MLB MLE	PIT	50%	203	180	42	7	2	3	18	45	3	6	2	229	311	330	641	100	288	22	9	292	84	-4	+0	+0	-1	+4	-0.0
2030	23	MLB MLE	PIT	58%	298	265	61	10	2	5	27	66	4	10	3	232	314	341	654	109	289	22	9	297	87	-5	+1	+0	-2	+6	0.1
2031	24	MLB MLE	PIT	61%	374	332	79	13	3	7	34	83	5	12	4	235	316	350	666	116	290	22	9	301	90	-4	+1	+0	-2	+8	0.2
2032	25	MLB MLE	PIT	63%	416	369	87	14	3	8	38	92	6	13	4	236	317	357	674	121	290	22	9	304	92	-4	+1	+0	-2	+9	0.4
2033	26	MLB MLE	PIT	64%	440	391	92	15	3	9	40	97	6	14	4	237	317	360	678	124	290	22	9	306	93	-4	+1	+0	-3	+10	0.5
2034	27	MLB MLE	PIT	65%	450	400	93	15	3	9	41	100	6	14	4	236	316	358	674	122	290	22	9	304	92	-4	+1	+0	-3	+10	0.4
2035	28	MLB MLE	PIT	65%	450	400	93	15	3	9	41	101	6	14	5	234	314	353	667	119	289	22	9	301	90	-5	+1	-1	-3	+10	0.2
2036	29	MLB MLE	PIT	65%	441	392	91	15	3	8	40	100	6	13	5	231	311	346	658	115	287	23	9	298	88	-7	+1	-1	-3	+10	-0.0
2028	21	MLB CTX	PIT	34%	38	34	7	1	0	0	3	8	1	1	0	225	308	315	623	89	287	21	8	285	79	-1	+0	+0	-0	+1	-0.0
2029	22	MLB CTX	PIT	50%	101	89	20	3	1	1	9	22	2	3	1	229	311	327	638	99	288	22	9	291	84	-2	+0	+0	-1	+2	-0.0
2030	23	MLB CTX	PIT	58%	172	151	34	6	1	2	16	38	3	6	2	232	313	338	651	106	289	22	9	296	87	-3	+0	+0	-1	+4	0.0
2031	24	MLB CTX	PIT	61%	228	202	48	8	2	4	21	50	3	7	2	234	315	347	662	113	291	22	9	300	90	-3	+1	+0	-1	+5	0.2
2032	25	MLB CTX	PIT	63%	261	231	54	9	2	5	24	58	4	8	3	235	316	353	670	118	291	22	9	303	92	-2	+0	+0	-2	+6	0.2
2033	26	MLB CTX	PIT	64%	281	250	58	10	2	5	25	62	4	9	3	236	317	356	673	120	291	22	9	304	93	-2	+1	+0	-2	+6	0.3
2034	27	MLB CTX	PIT	65%	292	259	60	10	2	5	27	65	4	9	3	235	316	353	669	119	290	22	9	302	92	-3	+1	+0	-2	+6	0.2
2035	28	MLB CTX	PIT	65%	292	260	60	10	2	5	26	66	4	9	3	233	313	349	662	116	289	23	9	300	90	-3	+1	-0	-2	+6	0.1
2036	29	MLB CTX	PIT	65%	287	255	59	10	2	5	26	65	4	9	3	230	311	343	653	112	288	23	9	296	88	-4	+1	-1	-2	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1952	1731	400	67	14	32	177	434	29	61	20	231	313	341	654	110	289	22	9	299	86	-23	+4	-1	-12	+42	1.0
/ 162G	—	A+C		—	650	576	134	22	5	11	59	145	10	20	7	233	315	345	660	113	291	22	9	299	86	-8	+1	-0	-4	+14	0.3
Career	—	MLE		—	3510	3101	708	116	25	60	330	758	54	109	37	228	313	340	653	112	282	22	9	295	86	-41	+7	-2	-19	+70	1.5
/ 162G	—	MLE		—	650	574	131	21	5	11	61	140	10	20	7	228	313	340	652	111	282	22	9	295	86	-8	+1	-0	-4	+14	0.3

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 CLE Goryl · 115 PAwOBA .388 → .274 (−114)K% 11.3% → 13.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.30%	÷1.000	×1.220	—	—	13.79%
BB% (unintentional) /PA	17.39%	÷1.000	×0.700	—	×0.995	12.11%
HBP% /PA	6.96%	—	×0.700	—	×0.995	4.85%
Singles /BIP	22.97%	÷1.000	×0.680	×1.050	×0.995	16.32%
Doubles /BIP	5.41%	÷1.000	×0.600	×1.050	×0.995	3.39%
Triples /BIP	2.70%	÷1.000	×0.600	×1.050	×0.995	1.69%
Home runs /BIP	1.35%	÷1.000	×0.470	—	×0.995	0.63%

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 ×1.050.

Result: wOBA .388 → .274; ISO .126 → .079; BABIP .315 → .215. 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 CLE Goryl · 73 PAwOBA .290 → .201 (−89)K% 8.2% → 9.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.22%	÷1.028	×1.220	—	—	9.75%
BB% (unintentional) /PA	17.81%	÷0.993	×0.700	—	×1.008	12.65%
HBP% /PA	0.00%	—	×0.700	—	×1.008	0.00%
Singles /BIP	17.31%	÷1.061	×0.680	×0.990	×1.008	11.07%
Doubles /BIP	5.77%	÷1.020	×0.600	×0.990	×1.008	3.39%
Triples /BIP	0.00%	÷0.995	×0.600	×0.990	×1.008	0.00%
Home runs /BIP	0.00%	÷1.316	×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 163, 1B 112, 2B 104, 3B 99, K 106, BB 99 — 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 ×0.990.

Result: wOBA .290 → .201; ISO .052 → .033; BABIP .222 → .140. 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 CLE Mendoza · 75 PAwOBA .291 → .214 (−77)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	21.33%	÷0.986	×0.700	—	×1.022	15.49%
HBP% /PA	1.33%	—	×0.700	—	×1.022	0.95%
Singles /BIP	20.83%	÷0.995	×0.680	×1.050	×1.022	15.28%
Doubles /BIP	2.08%	÷1.091	×0.600	×1.050	×1.022	1.23%
Triples /BIP	0.00%	÷1.045	×0.600	×1.050	×1.022	0.00%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 99, 2B 118, 3B 109, K 97, BB 97 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .291 → .214; ISO .017 → .011; BABIP .229 → .165. 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
#1Willie Harrislast yr '11 career totals — 10 seasons, 2,743 PA	4.1	2,743	39	106	241	331	351	-11	-2	5.3	6.2
	/162	664	9	26	241	331	351	-2.7	-0.5	1.3	pk7: 7
#2Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
	/162	664	20	13	233	305	399	-2.9	-3.2	1.0	pk7: 5
#3Pat Sheridan'81-'91 * career totals — 8 seasons, 2,700 PA	4.1	2,700	51	86	250*	319*	387*	-22	-3	4.0	4.2
#3Pat Sheridan'81-'91 * career totals — 8 seasons, 2,700 PA	/162	664	13	21	250*	319*	387*	-5.4	-0.8	1.0	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.0	2,014	36	64	235	312	351	-12	+0	2.4	2.4
	/162	664	12	21	235	312	351	-4.0	+0.0	0.8	pk7: 2
#4Eric Young Jr.last yr '18 career totals — 9 seasons, 1,925 PA	2.9	1,925	13	161	245	312	332	-11	-8	1.2	1.6
	/162	664	4	56	245	312	332	-3.9	-2.7	0.4	pk7: 2
#5Carl Warwick'61-'66 * career totals — 5 seasons, 1,616 PA	2.4	1,616	31	13	245*	309*	381*	-9	-1	1.4	1.4
#5Carl Warwick'61-'66 * career totals — 5 seasons, 1,616 PA	/162	664	13	5	245*	309*	381*	-3.6	-0.6	0.6	pk7: 1
#6James Mouton'94-'01 * career totals — 8 seasons, 1,795 PA	2.7	1,795	18	109	235*	314*	329*	-11	-0	0.7	1.0
#6James Mouton'94-'01 * career totals — 8 seasons, 1,795 PA	/162	664	7	40	235*	314*	329*	-4.2	-0.1	0.3	pk7: 1

Osmar Torrealba

Career Stats + Projections

How the minor-league lines were translated

Career Comps