Emdys Rosillo

C DSL Reds

Age 20 L/R 6'0" / 170 lbs ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#973ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Rojos	61	.283/.450/.304	0	0	59	—	.200/.333/.220
2025	18	ROKDSL Rojos	122	.257/.306/.327	0	0	13	—	.172/.207/.224
2026	19	ROKCIN	92	.259/.341/.309	0	0	22	—	.179/.242/.214
2027PROJMLE	20	MLBCIN	202	.232/.291/.306	1	2	70	0.1
2028PROJ34% MLB	21	MLBCIN	36	.236/.296/.322	0	1	74	0.1
2029PROJ48% MLB	22	MLBCIN	94	.239/.300/.333	1	2	78	0.1

Next 3 projected WAR 0.3Projected 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%95

K%94

Z-Con%83

Chase%41

wOBA20

BB%20

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

CompsMarcus Lemon (age 20) · Kean Wong (age 20) · Cam Maron (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 50 proj PA

wRC+†70

AVG/OBP/SLG.230 / .289 / .303

PA50

HR0

K%23

BB%7

ISO75

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$20M ctrl surplus

Tools · ContractCON 66 / POW 33

Toolsscout grade

CONTACT66

scouting grade only

POWER33

scouting grade only

EYE47

scouting grade only

SPEED47

scouting grade only

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	+0.5	$1M	+$0.7M
2035	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2036	Arb-1	$2M	+0.3	$0.6M	+$0.0M (cut)
2037	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2038	Arb-3	$0.6M	—	—	—
Totals		$3M		$4M	+$2M

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 Rojos	—	61	46	13	1	0	0	13	6	1	0	0	283	450	304	754	22	317	10	21	360	59	—	—	—	—	—	—
2025	18	ROK	DSL Rojos	—	122	113	29	6	1	0	8	19	0	0	0	257	306	327	633	71	305	16	7	285	13	—	—	—	—	—	—
2026	19	ROK	DSL Reds	—	92	81	21	2	1	0	10	10	0	0	0	259	341	309	649	49	292	11	11	298	22	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Rojos	—	61	50	10	1	0	0	9	8	1	0	0	200	333	220	553	20	215	13	15	256	59	—	—	—	—	—	—
2025	18	ROK MLE	DSL Rojos	—	122	116	20	4	1	0	5	23	0	0	0	172	207	224	431	52	208	19	4	188	13	—	—	—	—	—	—
2026	19	ROK MLE	DSL Reds	—	92	84	15	1	1	0	7	12	0	0	0	179	242	214	456	36	194	13	8	201	22	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rojos	—	61	50	10	1	0	0	9	8	1	0	0	200	333	220	553	20	233	13	15	256	59	—	—	—	—	—	—
2024	17	ROK RAW	DSL Rojos	—	61	46	13	1	0	0	13	6	1	0	0	283	450	304	754	22	317	10	21	360	59	—	—	—	—	—	—
2025	18	ROK MLE	DSL Rojos	—	122	116	20	4	1	0	5	23	0	0	0	172	207	224	431	52	213	19	4	188	13	—	—	—	—	—	—
2025	18	ROK RAW	DSL Rojos	—	122	113	29	6	1	0	8	19	0	0	0	257	306	327	633	71	305	16	7	285	13	—	—	—	—	—	—
2026	19	ROK MLE	DSL Reds	—	92	84	15	1	1	0	7	12	0	0	0	179	242	214	456	36	205	13	8	201	22	—	—	—	—	—	—
2026	19	ROK RAW	DSL Reds	—	92	81	21	2	1	0	10	10	0	0	0	259	341	309	649	49	292	11	11	298	22	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rojos	—	61	51	10	1	0	0	9	8	1	0	0	196	333	216	549	20	215	13	15	256	59	—	—	—	—	—	—
2025	18	ROK MLE	DSL Rojos	—	122	116	20	4	1	0	5	23	0	0	0	172	207	224	431	52	208	19	4	188	13	—	—	—	—	—	—
2026	19	ROK MLE	DSL Reds	—	92	85	15	1	1	0	7	12	0	0	0	176	242	212	454	35	194	13	8	201	22	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Rojos	—	61	51	10	1	0	0	9	8	1	0	0	196	333	216	549	20	215	13	15	256	59	—	—	—	—	—	—
2025	18	ROK MLE	DSL Rojos	—	122	116	20	4	1	0	5	23	0	0	0	172	207	224	431	52	208	19	4	188	13	—	—	—	—	—	—
2026	19	ROK MLE	DSL Reds	—	92	85	15	1	1	0	7	12	0	0	0	176	242	212	454	35	194	13	8	201	22	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	CIN	0%	202	185	42	6	2	1	14	47	1	2	1	232	291	306	597	75	300	23	7	271	70	-7	+0	+0	+4	+4	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	CIN	34%	105	96	22	3	1	1	7	24	1	2	1	235	295	319	614	84	300	23	7	278	74	-3	+0	+0	+2	+2	0.1
2029	22	MLB MLE	CIN	48%	193	175	42	6	2	2	14	44	2	3	1	237	299	329	628	92	301	23	7	284	78	-5	+0	+0	+3	+4	0.3
2030	23	MLB MLE	CIN	54%	287	262	63	10	2	4	21	65	2	5	2	239	301	338	639	98	301	23	7	288	81	-6	+0	+0	+5	+6	0.5
2031	24	MLB MLE	CIN	55%	366	333	80	13	3	5	27	83	3	6	3	241	304	345	648	104	302	23	7	292	84	-7	+0	+0	+7	+8	0.7
2032	25	MLB MLE	CIN	56%	409	372	90	14	3	7	31	92	3	7	3	242	305	350	654	108	301	22	8	294	85	-7	+0	+0	+7	+9	0.9
2033	26	MLB MLE	CIN	56%	436	396	95	15	3	7	33	99	4	7	3	242	305	350	655	109	301	23	8	295	86	-7	+0	+0	+8	+9	1.0
2034	27	MLB MLE	CIN	55%	445	405	97	15	3	7	33	101	4	7	4	241	304	348	652	107	301	23	7	293	85	-8	-0	+0	+8	+10	0.9
2035	28	MLB MLE	CIN	55%	445	406	96	15	3	7	33	102	3	7	4	239	302	343	645	104	300	23	7	291	83	-9	-0	-1	+8	+10	0.8
2036	29	MLB MLE	CIN	53%	439	400	94	15	3	6	33	102	3	6	4	237	299	337	636	100	299	23	8	287	80	-10	-0	-1	+8	+10	0.5
2037	30	MLB MLE	CIN	53%	430	392	92	14	3	6	32	101	3	6	5	234	296	329	625	96	297	23	7	282	77	-12	-1	-2	+8	+9	0.2
2038	31	MLB MLE	CIN	52%	394	359	83	13	2	5	29	94	3	4	6	230	291	319	610	90	294	24	7	276	73	-13	-2	-3	+7	+9	-0.1
2028	21	MLB CTX	CIN	34%	36	33	7	1	0	0	3	8	0	1	0	236	296	322	618	86	301	22	8	280	74	-1	+0	+0	+1	+1	0.1
2029	22	MLB CTX	CIN	48%	94	86	20	3	1	1	7	21	1	2	1	239	300	333	633	94	302	22	7	286	78	-2	+0	+0	+2	+2	0.1
2030	23	MLB CTX	CIN	54%	156	143	34	5	1	2	11	35	1	3	1	241	303	342	645	101	302	22	7	291	81	-4	+0	+0	+3	+3	0.3
2031	24	MLB CTX	CIN	55%	203	184	45	7	2	3	15	46	2	3	2	243	305	350	655	107	303	23	7	294	84	-4	-0	+0	+4	+4	0.4
2032	25	MLB CTX	CIN	56%	229	208	51	8	2	4	17	52	2	4	2	243	306	355	662	112	302	23	7	297	85	-4	+0	+0	+4	+5	0.5
2033	26	MLB CTX	CIN	56%	245	223	54	8	2	4	18	55	2	4	2	243	307	356	663	113	302	22	7	298	86	-4	+0	+0	+4	+5	0.6
2034	27	MLB CTX	CIN	55%	246	224	54	8	2	4	18	56	2	4	2	242	306	353	659	111	302	23	7	296	85	-5	+0	+0	+4	+5	0.5
2035	28	MLB CTX	CIN	55%	244	222	53	8	2	4	18	56	2	4	2	241	304	349	652	108	301	23	7	293	83	-5	+0	-0	+4	+5	0.4
2036	29	MLB CTX	CIN	53%	235	214	52	8	2	4	17	55	2	3	2	238	301	342	643	104	300	23	7	289	80	-6	-0	-1	+4	+5	0.3
2037	30	MLB CTX	CIN	53%	226	205	47	7	1	3	17	53	2	3	2	235	297	334	631	99	298	23	8	285	77	-6	-0	-1	+4	+5	0.2
2038	31	MLB CTX	CIN	52%	205	187	43	6	1	3	15	49	1	2	3	231	292	324	616	93	295	24	7	279	73	-7	-1	-1	+4	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2119	1929	460	69	16	32	156	486	17	33	19	238	301	341	642	102	301	23	7	291	78	-47	-1	-4	+38	+46	3.3
/ 162G	—	A+C		—	650	592	141	21	5	10	48	149	5	10	6	238	301	341	642	103	300	23	7	291	78	-14	-0	-1	+12	+14	1.0
Career	—	MLE		—	4274	3893	909	141	30	57	317	962	32	61	36	233	297	329	626	96	294	23	7	283	78	-90	-2	-7	+71	+87	6.0
/ 162G	—	MLE		—	650	592	139	21	5	9	48	146	5	9	5	235	298	333	630	98	295	22	7	283	78	-15	-0	-1	+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 Reds · 92 PAwOBA .294 → .201 (−94)K% 10.9% → 13.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.87%	÷1.000	×1.220	—	—	13.26%
BB% (unintentional) /PA	10.87%	÷1.000	×0.700	—	×0.985	7.49%
HBP% /PA	0.00%	—	×0.700	—	×0.985	0.00%
Singles /BIP	25.35%	÷1.000	×0.680	×1.012	×0.985	17.18%
Doubles /BIP	2.82%	÷1.000	×0.600	×1.012	×0.985	1.68%
Triples /BIP	1.41%	÷1.000	×0.600	×1.012	×0.985	0.84%
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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .294 → .201; ISO .049 → .030; BABIP .292 → .194. 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 Rojos · 122 PAwOBA .280 → .188 (−92)K% 15.6% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.57%	÷0.993	×1.220	—	—	19.13%
BB% (unintentional) /PA	6.56%	÷1.011	×0.700	—	×0.995	4.52%
HBP% /PA	0.00%	—	×0.700	—	×0.995	0.00%
Singles /BIP	23.40%	÷0.976	×0.680	×1.017	×0.995	16.51%
Doubles /BIP	6.38%	÷1.013	×0.600	×1.017	×0.995	3.83%
Triples /BIP	1.06%	÷0.978	×0.600	×1.017	×0.995	0.66%
Home runs /BIP	0.00%	÷0.987	×0.470	—	×0.995	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 97, 1B 95, 2B 103, 3B 96, K 99, BB 102 — 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 ×1.017.

Result: wOBA .280 → .188; ISO .071 → .042; BABIP .305 → .208. 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 Rojos · 61 PAwOBA .358 → .256 (−102)K% 9.8% → 12.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.84%	÷0.972	×1.220	—	—	12.35%
BB% (unintentional) /PA	21.31%	÷1.037	×0.700	—	×1.008	14.49%
HBP% /PA	1.64%	—	×0.700	—	×1.008	1.16%
Singles /BIP	30.00%	÷1.000	×0.680	—	×1.008	20.55%
Doubles /BIP	2.50%	÷1.022	×0.600	—	×1.008	1.48%
Triples /BIP	0.00%	÷1.007	×0.600	—	×1.008	0.00%
Home runs /BIP	0.00%	÷1.000	×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 100, 1B 100, 2B 104, 3B 101, K 94, BB 107 — 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 .358 → .256; ISO .022 → .014; BABIP .317 → .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).

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
#2Toby Halllast yr '08 career totals — 8 seasons, 2,501 PA	3.8	2,501	45	2	263	298	374	+32	+38	9.9	10.0
/162	664	12	1	+8.4	+10.1	2.6	pk7: 10
#3Jorge Alfarolast yr '23 career totals — 7 seasons, 1,693 PA	2.5	1,693	48	18	254	303	396	+30	+17	9.1	9.1
/162	664	19	7	+11.9	+6.6	3.6	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
#5Jake Gibbs'63-'71 * career totals — 7 seasons, 1,795 PA	2.7	1,795	25	28	244*	299*	362*	+32	+0	5.4	5.4
/162	664	9	10	+11.9	+0.0	2.0	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.3	2,169	32	33	239	298	340	+39	+28	4.9	4.5
/162	664	10	10	+11.9	+8.6	1.5	pk7: 4
#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
Emdys Rosillo (OGILVIE)	20	61→66	28→33	42→47	47	230/289/303	74	300	0	1	23%	7%	70	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Marcus Lemon 2008 · A	20	50→55	38→40	46→45	47	233/301/319	86	310	3	10	24%	8%	78	-0.3	248/302/338	90	307	5	8	20%	6%	82	-0.0	254/303/338	84	308	4	7	18%	6%	79	-0.2
✕Kean Wong 2015 · A	20	57→63	36→45	48→55	41	269/302/333	63	340	3	10	21%	4%	80	-0.2	257/294/327	70	326	4	12	21%	5%	76	-0.4	262/307/372	111	343	9	9	25%	5%	89	+0.4
✕Cam Maron 2012 · A	21	51→58	39→40	47→40	50	242/311/324	82	301	6	5	21%	8%	83	+0.1	242/313/321	79	317	4	3	23%	9%	82	+0.0	242/317/316	74	319	4	1	23%	9%	81	-0.1
✕Reese McGuire 2015 · A	20	52→54	36→45	49→45	45	243/280/310	66	278	4	7	14%	4%	67	-1.1	245/289/313	68	282	3	9	14%	6%	72	-0.7	237/296/361	124	284	14	5	21%	7%	85	+0.1
✕Bryan Anderson 2007 · A	20	52→59	40→45	41→30	45	250/301/351	102	313	7	5	22%	6%	85	+0.2	257/303/348	91	329	7	3	23%	6%	84	+0.2	262/307/350	88	335	7	2	23%	6%	84	+0.1
✕Rossmel Perez 2010 · A	20	51→56	34→30	45	50	237/295/288	51	270	1	3	12%	6%	68	-1.0	248/302/309	61	282	4	4	13%	7%	76	-0.4	266/319/325	59	287	3	5	8%	6%	83	+0.1
✕Felipe Burin 2012 · A	20	51	36→40	40→45	50	238/302/311	73	295	2	4	19%	8%	76	-0.4	214/277/280	66	287	2	5	24%	8%	60	-1.6	161/234/188	28	217	0	3	24%	8%	24	-1.2
✕Tyler Wade 2015 · A	20	53→58	35→45	49→60	43	241/298/306	65	344	2	12	29%	7%	73	-0.6	246/301/323	77	327	4	20	24%	7%	78	-0.3	238/306/337	99	319	7	34	26%	8%	83	+0.0
✕Logan Watkins 2010 · A	20	50→54	36→45	50→55	48	230/308/299	69	324	3	7	28%	9%	76	-0.4	236/298/320	84	319	3	14	25%	8%	76	-0.4	243/309/335	93	320	4	17	24%	8%	80	-0.1
✕Luis Caicuto 2023 · A	20	51	38→45	46→50	46	241/301/323	82	302	5	7	21%	6%	78	-0.3	211/281/274	63	283	2	5	24%	7%	61	-1.5	197/271/279	82	244	7	8	21%	7%	57	-0.7
✕Tucker Barnhart 2011 · A	20	47→53	35→45	48→40	45	217/281/283	66	304	2	7	28%	8%	62	-1.4	230/289/313	83	297	4	3	22%	8%	72	-0.7	241/315/366	125	285	12	2	19%	9%	93	+0.6
✕Josh Morgan 2016 · A	20	54→57	36→45	46→40	49	253/324/318	65	307	4	7	18%	7%	86	+0.3	245/297/325	80	293	6	4	18%	6%	77	-0.3	240/288/318	78	285	6	2	17%	5%	70	-0.6
✕Tayden Hall 2023 · A	20	48→49	38→40	50	45	222/290/308	86	313	4	6	28%	8%	71	-0.8	212/308/278	66	294	3	7	25%	11%	72	-0.7	187/301/283	96	257	7	9	27%	13%	70	-0.5
✕Diego Velasquez 2024 · A	20	49→59	40	50	46	234/299/328	94	301	7	12	24%	7%	80	-0.2	253/321/334	81	323	4	15	21%	8%	88	+0.5	262/334/335	73	332	3	18	20%	8%	91	+0.6
✕Noah Mendlinger 2022 · A	21	49→59	39→30	44→45	52	232/313/323	92	294	5	6	22%	10%	84	+0.1	246/336/323	77	297	4	8	17%	9%	93	+0.8	269/354/337	68	315	2	8	14%	8%	100	+1.0
✕Alejo Lopez 2016 · A	20	51→61	38→40	46→55	51	239/308/319	80	277	4	9	15%	7%	80	-0.1	229/282/302	73	267	4	10	15%	6%	66	-1.1	269/335/357	88	309	5	12	14%	8%	96	+0.8
✕Meibrys Viloria 2017 · A	20	51→48	41→45	45→40	45	244/299/347	103	300	7	3	20%	6%	83	+0.1	234/281/332	98	313	8	3	26%	5%	73	-0.6	214/301/308	93	318	8	3	32%	10%	74	-0.3
✕José Godoy 2016 · A	21	50	36→45	48→30	50	233/298/300	67	280	4	5	18%	8%	72	-0.7	247/301/320	73	296	5	3	17%	6%	78	-0.3	255/310/326	72	305	5	2	17%	6%	80	-0.1
✕Jorge Ruiz 2024 · A	20	54→52	38→40	51→50	45	252/308/336	85	308	4	12	19%	6%	84	+0.2	226/274/301	75	294	4	13	23%	5%	63	-1.3	220/267/292	72	284	3	13	23%	5%	56	-1.5
✕Luis Guillorme 2016 · A	21	56→64	33→40	45	48	262/310/302	40	317	1	10	17%	6%	76	-0.4	263/320/317	54	317	2	6	16%	8%	84	+0.1	277/347/351	74	322	5	4	14%	9%	99	+0.9

Emdys Rosillo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps