Felix Morrobel

SS Rancho Cucamonga Quakes

Age 21 S/R 6'0" / 175 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1634ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKLAA	62	.308/.400/.327	0	5	70	—	.273/.333/.291
2025	19	ROKLAA	111	.218/.364/.322	2	8	40	—	.181/.280/.277
2026	20	ALAA	111	.200/.303/.232	0	5	33	—	.182/.257/.212
2027PROJMLE	21	MLBLAA	221	.211/.280/.297	3	5	65	0.0
2028PROJ34% MLB	22	MLBLAA	44	.214/.284/.307	1	1	69	0.0
2029PROJ48% MLB	23	MLBLAA	102	.217/.287/.317	2	2	73	-0.0

Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

Z-Con%81

K%80

Chase%69

Whiff%66

BB%54

Speed44

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 96%

CompsMichael Beltre (age 21) · Luis Liberato (age 20) · Juan Kelly (age 21)

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

wRC+†65

AVG/OBP/SLG.209 / .278 / .294

PA69

HR1

K%26

BB%8

ISO86

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 45 / POW 38

Toolsscout grade

CONTACT45

scouting grade only

POWER38

scouting grade only

EYE57

scouting grade only

SPEED59

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$0.6M	—	—	—
2036	Arb-2	$5M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.0M

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)
2023	17	ROK	DSL Angels	—	171	161	46	4	2	0	8	13	1	11	8	286	324	335	659	50	309	8	5	298	22	—	—	—	—	—	—
2024	18	ROK	ACL Angels	—	62	52	16	1	0	0	8	8	0	5	2	308	400	327	727	19	364	13	13	330	70	—	—	—	—	—	—
2025	19	ROK	ACL Angels	—	111	87	19	1	1	2	17	22	3	8	2	218	364	322	686	103	270	20	15	313	40	—	—	—	—	—	—
2026	20	A	Rancho Cucamonga Quakes	—	111	95	19	3	0	0	14	20	0	5	3	200	303	232	534	32	247	18	13	253	33	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Angels	—	171	164	32	3	1	0	5	16	1	11	8	195	224	226	449	30	213	9	3	201	22	—	—	—	—	—	—
2024	18	ROK MLE	ACL Angels	—	62	55	15	1	0	0	5	11	0	5	2	273	333	291	624	18	326	18	8	271	70	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	111	94	17	1	1	2	10	33	3	8	2	181	280	277	557	96	223	30	9	228	40	—	—	—	—	—	—
2026	20	A MLE	Rancho Cucamonga Quakes	—	111	99	18	3	0	0	10	27	0	5	3	182	257	212	469	30	238	24	9	217	33	—	—	—	—	—	—
2023	17	ROK MLE	DSL Angels	—	171	164	32	3	1	0	5	16	1	11	8	195	224	226	449	30	215	9	3	201	22	—	—	—	—	—	—
2023	17	ROK RAW	DSL Angels	—	171	161	46	4	2	0	8	13	1	11	8	286	324	335	659	50	309	8	5	298	22	—	—	—	—	—	—
2024	18	ROK MLE	ACL Angels	—	62	55	15	1	0	0	5	11	0	5	2	273	333	291	624	18	341	18	8	271	70	—	—	—	—	—	—
2024	18	ROK RAW	ACL Angels	—	62	52	16	1	0	0	8	8	0	5	2	308	400	327	727	19	364	13	13	330	70	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	111	94	17	1	1	2	10	33	3	8	2	181	280	277	557	96	254	30	9	228	40	—	—	—	—	—	—
2025	19	ROK RAW	ACL Angels	—	111	87	19	1	1	2	17	22	3	8	2	218	364	322	686	103	270	20	15	313	40	—	—	—	—	—	—
2026	20	A MLE	Rancho Cucamonga Quakes	—	111	99	18	3	0	0	10	27	0	5	3	182	257	212	469	30	243	24	9	217	33	—	—	—	—	—	—
2026	20	A RAW	Rancho Cucamonga Quakes	—	111	95	19	3	0	0	14	20	0	5	3	200	303	232	534	32	247	18	13	253	33	—	—	—	—	—	—
2023	17	ROK MLE	DSL Angels	—	171	163	32	3	1	0	5	16	1	11	8	196	224	227	451	31	213	9	3	201	22	—	—	—	—	—	—
2024	18	ROK MLE	ACL Angels	—	62	57	15	1	0	0	5	11	0	5	2	263	333	281	614	18	326	18	8	271	70	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	111	97	17	1	1	2	10	33	3	8	2	175	280	268	548	93	223	30	9	228	40	—	—	—	—	—	—
2026	20	A MLE	Rancho Cucamonga Quakes	—	111	100	18	3	0	0	10	27	0	5	3	180	257	210	467	30	238	24	9	217	33	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	ACL Angels	—	62	57	15	1	0	0	5	11	0	5	2	263	333	281	614	18	326	18	8	271	70	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	111	97	17	1	1	2	10	33	3	8	2	175	280	268	548	93	223	30	9	228	40	—	—	—	—	—	—
2026	20	A MLE	Rancho Cucamonga Quakes	—	111	100	18	3	0	0	10	27	0	5	3	180	257	210	467	30	238	24	9	217	33	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	LAA	0%	221	200	43	7	1	3	17	58	2	5	1	211	280	297	577	86	280	26	8	264	65	-9	+1	+0	+2	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	LAA	34%	129	117	25	4	1	2	10	33	1	3	1	215	285	309	594	95	281	26	8	270	69	-5	+0	+0	+1	+3	-0.0
2029	23	MLB MLE	LAA	48%	210	189	41	7	1	3	17	54	2	5	1	218	288	319	607	101	282	26	8	276	73	-7	+1	+0	+2	+5	0.1
2030	24	MLB MLE	LAA	53%	292	263	58	9	2	5	24	74	3	7	2	221	291	327	618	106	284	25	8	280	76	-8	+1	+0	+3	+6	0.2
2031	25	MLB MLE	LAA	55%	349	314	69	11	2	6	29	88	3	8	2	222	293	332	626	110	284	25	8	283	78	-9	+1	+0	+4	+8	0.3
2032	26	MLB MLE	LAA	56%	381	344	77	13	2	7	31	95	3	9	2	223	295	336	631	113	284	25	8	285	79	-10	+1	+0	+4	+8	0.4
2033	27	MLB MLE	LAA	55%	396	357	79	13	2	7	33	99	3	9	2	222	294	334	627	111	284	25	8	284	78	-10	+1	+0	+4	+9	0.4
2034	28	MLB MLE	LAA	55%	398	359	79	13	2	7	33	101	3	9	2	221	292	329	621	109	283	25	8	281	76	-11	+1	-1	+4	+9	0.2
2035	29	MLB MLE	LAA	53%	392	354	78	13	2	7	32	100	3	8	2	218	289	323	612	105	282	26	8	278	74	-12	+1	-1	+4	+8	-0.0
2036	30	MLB MLE	LAA	53%	382	345	74	12	2	6	31	99	3	7	2	216	286	316	602	100	281	26	8	273	71	-13	+1	-2	+4	+8	-0.2
2028	22	MLB CTX	LAA	34%	44	40	8	1	0	1	4	11	0	1	0	214	284	307	591	94	279	25	9	269	69	-2	+0	+0	+0	+1	0.0
2029	23	MLB CTX	LAA	48%	102	92	21	3	1	2	8	26	1	2	1	217	287	317	605	101	280	25	8	275	73	-3	+0	+0	+1	+2	-0.0
2030	24	MLB CTX	LAA	53%	154	139	31	5	1	3	13	39	1	4	1	220	290	325	616	106	282	25	8	279	76	-4	+0	+0	+2	+3	0.1
2031	25	MLB CTX	LAA	55%	191	171	38	6	1	4	16	48	2	5	1	221	292	331	623	110	282	25	8	282	78	-5	+1	+0	+2	+4	0.2
2032	26	MLB CTX	LAA	56%	212	191	42	7	1	4	17	53	2	5	1	222	294	335	628	113	282	25	8	284	79	-5	+1	+0	+2	+5	0.2
2033	27	MLB CTX	LAA	55%	218	196	43	7	1	4	18	55	2	5	1	221	293	332	625	111	282	25	8	283	78	-6	+1	+0	+2	+5	0.2
2034	28	MLB CTX	LAA	55%	218	196	43	7	1	4	18	55	2	5	1	220	291	328	619	108	281	25	8	280	76	-6	+1	-0	+2	+5	0.1
2035	29	MLB CTX	LAA	53%	209	188	41	6	1	4	17	53	2	4	1	217	288	322	610	105	280	25	8	277	74	-6	+0	-1	+2	+5	-0.0
2036	30	MLB CTX	LAA	53%	201	181	39	6	1	3	16	52	2	4	1	214	285	314	599	100	279	26	8	272	71	-7	+0	-1	+2	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1549	1394	306	48	8	29	127	392	14	35	8	220	291	328	619	108	282	25	8	279	70	-45	+4	-2	+17	+34	0.7
/ 162G	—	A+C		—	650	585	128	20	3	12	53	164	6	15	3	219	290	325	615	106	282	25	8	279	70	-19	+2	-1	+7	+14	0.3
Career	—	MLE		—	3453	3117	675	105	18	53	275	848	29	95	31	217	286	313	599	96	278	25	8	272	70	-89	+7	-4	+32	+65	1.1
/ 162G	—	MLE		—	650	587	127	20	3	10	52	160	5	18	6	216	286	312	597	95	279	25	8	272	70	-19	+1	-1	+7	+14	0.2

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 ARancho Cucamonga Quakes · 111 PAwOBA .252 → .217 (−35)K% 18.0% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.02%	÷1.000	×1.360	—	—	24.50%
BB% (unintentional) /PA	12.61%	÷1.000	×0.690	—	×1.015	8.83%
HBP% /PA	0.00%	—	×0.780	—	×1.015	0.00%
Singles /BIP	21.33%	÷1.000	×0.920	×1.050	×1.015	20.92%
Doubles /BIP	4.00%	÷1.000	×0.830	×1.050	×1.015	3.54%
Triples /BIP	0.00%	÷1.000	×0.910	×1.050	×1.015	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.015	0.00%

Factors used: level-wide A 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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .252 → .217; ISO .032 → .028; BABIP .247 → .238. 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 ROKACL Angels · 111 PAwOBA .306 → .228 (−78)K% 19.8% → 29.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.82%	÷0.969	×1.440	—	—	29.47%
BB% (unintentional) /PA	15.32%	÷1.082	×0.620	—	×0.995	8.73%
HBP% /PA	2.70%	—	×0.720	—	×0.995	1.94%
Singles /BIP	23.08%	÷1.015	×0.820	×1.050	×0.995	19.48%
Doubles /BIP	1.54%	÷0.992	×0.720	×1.050	×0.995	1.17%
Triples /BIP	1.54%	÷1.134	×0.720	×1.050	×0.995	1.02%
Home runs /BIP	3.08%	÷0.873	×0.780	—	×0.995	2.73%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 75, 1B 103, 2B 98, 3B 127, K 94, BB 116 — applied at half strength. Age: age 20 vs a level average of 19.5 → −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 .306 → .228; ISO .103 → .087; BABIP .270 → .223. 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 ROKACL Angels · 62 PAwOBA .322 → .271 (−51)K% 12.9% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.90%	÷1.004	×1.440	—	—	18.51%
BB% (unintentional) /PA	12.90%	÷1.026	×0.620	—	×1.008	7.85%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	34.09%	÷0.958	×0.820	×1.050	×1.008	30.85%
Doubles /BIP	2.27%	÷0.966	×0.720	×1.050	×1.008	1.79%
Triples /BIP	0.00%	÷1.053	×0.720	×1.050	×1.008	0.00%
Home runs /BIP	0.00%	÷0.895	×0.780	—	×1.008	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 92, 2B 93, 3B 111, K 101, BB 105 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .322 → .271; ISO .019 → .016; BABIP .364 → .326. 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).

2023 DSLDSL Angels · 171 PAwOBA .292 → .201 (−90)K% 7.6% → 9.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.60%	÷1.002	×1.220	—	—	9.26%
BB% (unintentional) /PA	4.68%	÷1.018	×0.700	—	×1.008	3.24%
HBP% /PA	0.58%	—	×0.700	—	×1.008	0.41%
Singles /BIP	27.03%	÷1.028	×0.680	×1.048	×1.008	18.88%
Doubles /BIP	2.70%	÷0.927	×0.600	×1.048	×1.008	1.85%
Triples /BIP	1.35%	÷1.150	×0.600	×1.048	×1.008	0.74%
Home runs /BIP	0.00%	÷0.852	×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 70, 1B 106, 2B 85, 3B 130, K 100, BB 104 — 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 ×1.048.

Result: wOBA .292 → .201; ISO .050 → .031; BABIP .309 → .213. 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
#1Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Kiko Garcia'76-'85 * career totals — 8 seasons, 1,595 PA	2.4	1,595	12	34	232*	283*	343*	+14	+14	2.2	3.0
/162	664	5	14	+5.7	+6.0	0.9	pk7: 4
#5Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.4	1,617	28	36	221	288	327	+17	+18	1.8	1.7
/162	664	12	15	+7.1	+7.4	0.7	pk7: 2

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
Felix Morrobel (OGILVIE)	21	40→45	33→38	54→59	57	209/278/294	85	280	1	1	26%	8%	65	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Michael Beltre 2016 · A	21	40→50	35→45	50→60	39	185/254/245	60	288	3	12	34%	7%	44	-2.8	212/276/297	85	297	4	12	28%	7%	63	-1.3	224/296/341	118	306	9	22	28%	9%	78	-0.2
✕Luis Liberato 2016 · A	20	37→47	37→50	53→50	42	177/241/251	73	261	4	13	32%	7%	40	-3.1	211/262/329	118	307	9	6	32%	7%	65	-1.2	221/286/368	148	299	15	9	30%	8%	83	+0.0
✕Juan Kelly 2015 · A	21	41→48	35→45	52→45	52	191/267/249	58	242	2	7	20%	9%	49	-2.4	214/275/322	108	291	8	6	27%	7%	69	-0.9	215/276/341	126	296	11	3	30%	7%	73	-0.5
✕Steward Berroa 2018 · A	19	40→50	36→45	52→65	45	189/257/257	67	264	2	17	28%	8%	47	-2.5	204/269/271	67	302	2	17	30%	8%	55	-2.0	227/306/323	96	332	8	52	31%	10%	79	-0.1
✕David Paisano 2009 · A	21	39→48	37→40	54→50	39	189/249/258	69	267	4	15	29%	5%	45	-2.7	216/262/295	79	298	4	10	28%	4%	57	-1.8	217/259/291	74	296	4	8	27%	4%	52	-1.8
✕Donald Lutz 2010 · A	21	39→49	39→50	50→45	40	192/244/278	86	264	5	8	29%	6%	47	-2.5	217/263/341	124	299	13	6	31%	5%	69	-0.9	217/262/369	152	289	16	8	30%	4%	73	-0.4
✕Granden Goetzman 2014 · A	21	39→45	39→45	53→55	40	190/240/276	86	252	7	15	27%	5%	45	-2.7	211/247/307	96	298	7	14	31%	4%	54	-2.0	212/242/319	107	281	7	25	27%	4%	52	-0.9
✕Jon Matthews 2012 · A	21	42	36→40	54→60	40	195/256/264	69	281	2	18	30%	6%	49	-2.4	204/264/275	71	290	4	23	29%	6%	54	-2.0	228/298/288	60	308	3	21	25%	7%	67	-0.4
✕Yeison Asencio 2011 · A	21	37→47	38→45	49→45	47	179/244/262	83	217	5	11	20%	7%	44	-2.8	239/271/351	112	275	8	8	16%	4%	73	-0.6	270/292/382	111	295	11	6	13%	2%	86	+0.3
✕Randolph Gassaway 2016 · A	21	41→47	38→40	51→40	39	199/243/278	79	277	5	9	29%	5%	46	-2.6	233/270/331	98	306	9	4	26%	5%	68	-1.0	228/268/311	84	299	7	2	25%	5%	61	-1.0
✕Narciso Crook 2016 · A	21	38→43	42→50	53→50	32	191/223/294	104	286	9	12	36%	4%	42	-2.9	201/247/311	110	301	10	10	35%	5%	56	-1.9	211/273/363	152	309	16	14	35%	6%	75	-0.3
✕Ricardo Rosario 2023 · A	20	39	36→40	50→55	44	186/249/258	71	249	3	12	26%	7%	45	-2.7	204/271/288	84	283	7	19	28%	7%	60	-1.6	202/282/289	86	263	10	29	26%	8%	63	-0.7
✕Brooks Baldwin 2023 · A	22	40→50	36→50	50	39	193/243/256	63	285	4	7	32%	6%	41	-3.0	232/284/364	132	300	15	16	27%	7%	82	-0.0	243/295/390	147	302	18	17	25%	6%	90	+0.5
✕Conner Capel 2017 · A	20	40→48	36→45	52→55	44	191/238/258	68	240	2	13	21%	5%	40	-3.1	210/265/335	125	281	12	11	28%	7%	68	-1.0	226/297/349	123	283	12	19	23%	8%	80	-0.1
✕Luis Barrera 2016 · A	20	40→50	36→45	50	43	190/245/252	62	259	3	6	27%	6%	41	-3.0	220/260/308	88	302	5	11	27%	5%	59	-1.7	248/293/357	110	319	5	17	23%	6%	80	-0.1
✕Derrick Loveless 2014 · A	21	37→47	38→45	53→50	42	176/244/264	87	271	4	5	35%	8%	44	-2.8	203/276/304	101	312	8	9	34%	9%	65	-1.2	192/275/292	101	297	8	8	35%	10%	61	-1.0
✕Luis Ayala 2017 · A	21	42→50	35→40	54→55	44	195/257/257	63	271	2	19	27%	7%	47	-2.5	207/263/271	64	293	3	15	28%	6%	52	-2.2	203/261/260	57	287	2	16	28%	6%	47	-1.5
●Leandro Castro 2010 · A	21	41→51	38→50	49→50	41	198/243/278	80	250	6	13	23%	5%	47	-2.6	225/257/343	118	273	10	12	21%	3%	66	-1.1	244/286/388	144	268	16	11	16%	5%	85	+0.2
✕Carlos Franco 2013 · A	21	41→49	37→45	49→45	46	195/264/270	75	273	5	9	29%	8%	53	-2.1	208/262/288	80	293	6	7	29%	7%	55	-1.9	214/266/324	110	318	13	2	35%	6%	64	-1.1
✕Edward Dorville 2010 · A	21	37	39→45	51→55	38	180/241/268	88	278	7	13	36%	6%	45	-2.7	167/217/249	82	313	6	14	46%	5%	30	-3.8	118/164/186	68	244	6	19	52%	4%	-6	-1.8

Felix Morrobel

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps