Angelo Mora

C ACL Reds

Age 22 R/R 6'1" / 195 lbs ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1968ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	18	ROKCIN	73	.203/.356/.254	0	1	19	—	.129/.260/.161
2024	19	ROKCIN	143	.312/.385/.453	3	3	38	—	.183/.252/.252
2025	20	ROKCIN	47	.143/.217/.143	0	0	-29	—	.093/.152/.093
2027PROJMLE	22	MLBCIN	157	.209/.268/.287	1	2	57	0.0
2028PROJ34% MLB	23	MLBCIN	22	.214/.274/.303	0	0	62	-0.0
2029PROJ48% MLB	24	MLBCIN	70	.218/.278/.315	1	1	66	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 2025 Rk

Z-Con%43

K%40

Whiff%30

Chase%22

BB%3

Max EV1

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 27 proj PA

wRC+†57

AVG/OBP/SLG.208 / .266 / .284

PA27

HR0

K%28

BB%6

ISO77

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M 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	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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. 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)
2023	18	ROK	DSL Reds	—	73	59	12	3	0	0	10	12	4	1	0	203	356	254	610	51	255	16	14	300	19	—	—	—	—	—	—
2024	19	ROK	DSL Reds	—	143	128	40	9	0	3	9	24	6	3	0	312	385	453	838	141	366	17	6	376	38	—	—	—	—	—	—
2025	20	ROK	ACL Reds	—	47	42	6	0	0	0	2	11	2	0	0	143	217	143	360		188	23	4	176	-29	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	DSL Reds	—	73	62	8	2	0	0	7	15	4	1	0	129	260	161	422	32	162	21	10	197	19	—	—	—	—	—	—
2024	19	ROK MLE	DSL Reds	—	143	131	24	6	0	1	6	31	6	3	0	183	252	252	504	69	228	22	4	224	38	—	—	—	—	—	—
2025	20	ROK MLE	ACL Reds	—	47	43	4	0	0	0	1	16	2	0	0	93	152	93	245		147	34	2	125	-29	—	—	—	—	—	—
2023	18	ROK MLE	DSL Reds	—	73	62	8	2	0	0	7	15	4	1	0	129	260	161	422	32	170	21	10	197	19	—	—	—	—	—	—
2023	18	ROK RAW	DSL Reds	—	73	59	12	3	0	0	10	12	4	1	0	203	356	254	610	51	255	16	14	300	19	—	—	—	—	—	—
2024	19	ROK MLE	DSL Reds	—	143	131	24	6	0	1	6	31	6	3	0	183	252	252	504	69	232	22	4	224	38	—	—	—	—	—	—
2024	19	ROK RAW	DSL Reds	—	143	128	40	9	0	3	9	24	6	3	0	312	385	453	838	141	366	17	6	376	38	—	—	—	—	—	—
2025	20	ROK MLE	ACL Reds	—	47	43	4	0	0	0	1	16	2	0	0	93	152	93	245		143	34	2	125	-29	—	—	—	—	—	—
2025	20	ROK RAW	ACL Reds	—	47	42	6	0	0	0	2	11	2	0	0	143	217	143	360		188	23	4	176	-29	—	—	—	—	—	—
2023	18	ROK MLE	DSL Reds	—	73	62	8	2	0	0	7	15	4	1	0	129	260	161	422	32	162	21	10	197	19	—	—	—	—	—	—
2024	19	ROK MLE	DSL Reds	—	143	130	24	6	0	1	6	31	6	3	0	185	252	254	506	69	228	22	4	224	38	—	—	—	—	—	—
2025	20	ROK MLE	ACL Reds	—	47	44	4	0	0	0	1	16	2	0	0	91	152	91	243		147	34	2	125	-29	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	DSL Reds	—	143	130	24	6	0	1	6	31	6	3	0	185	252	254	506	69	228	22	4	224	38	—	—	—	—	—	—
2025	20	ROK MLE	ACL Reds	—	47	44	4	0	0	0	1	16	2	0	0	91	152	91	243		147	34	2	125	-29	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	CIN	0%	157	144	30	5	1	1	9	43	3	2	1	209	268	287	554	77	287	27	6	253	57	-8	+0	+0	+3	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	CIN	34%	66	61	13	2	0	1	4	18	1	1	0	213	273	299	572	86	288	27	6	260	62	-3	+0	+0	+1	+1	-0.0
2029	24	MLB MLE	CIN	48%	146	134	29	5	1	2	9	39	2	2	1	217	277	310	587	94	289	27	6	266	66	-6	+0	+0	+3	+3	-0.0
2030	25	MLB MLE	CIN	56%	211	193	41	7	1	3	13	57	3	2	1	219	280	319	599	100	290	27	6	271	69	-8	+0	+0	+4	+5	0.1
2031	26	MLB MLE	CIN	60%	271	248	55	10	1	5	17	72	4	3	1	221	282	326	608	106	289	27	6	275	72	-9	+0	+0	+5	+6	0.2
2032	27	MLB MLE	CIN	62%	309	281	62	11	2	5	20	82	5	3	1	221	283	328	611	107	289	27	6	276	73	-10	+0	+0	+6	+7	0.2
2033	28	MLB MLE	CIN	63%	328	299	66	12	2	5	21	88	5	2	1	219	281	323	604	104	288	27	6	273	71	-11	+0	-1	+6	+7	0.1
2034	29	MLB MLE	CIN	64%	330	301	66	12	2	5	21	89	5	1	1	217	278	317	595	100	287	27	6	269	68	-12	-0	-1	+6	+7	-0.1
2028	23	MLB CTX	CIN	34%	22	21	4	1	0	0	1	6	0	0	0	214	274	303	576	88	289	27	5	262	62	-1	+0	+0	+0	+0	-0.0
2029	24	MLB CTX	CIN	48%	70	65	13	2	0	1	4	19	1	1	0	218	278	315	592	97	290	27	6	268	66	-3	+0	+0	+1	+2	0.0
2030	25	MLB CTX	CIN	56%	117	107	24	4	1	2	7	31	2	1	0	221	281	324	605	104	290	26	6	273	69	-4	+0	+0	+2	+3	0.1
2031	26	MLB CTX	CIN	60%	162	149	33	6	1	3	10	43	2	2	1	222	284	332	616	109	290	27	6	277	72	-5	+0	+0	+3	+4	0.1
2032	27	MLB CTX	CIN	62%	191	174	40	7	1	4	12	51	3	2	1	223	285	333	618	111	290	27	6	278	73	-6	+0	+0	+3	+4	0.1
2033	28	MLB CTX	CIN	63%	207	189	42	7	1	4	13	55	3	1	1	221	282	329	611	108	289	27	6	276	71	-7	-0	-0	+4	+4	0.0
2034	29	MLB CTX	CIN	64%	210	192	42	7	1	4	13	57	3	1	0	218	279	322	601	104	287	27	6	272	68	-8	+0	-1	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	979	897	198	34	5	18	60	262	14	8	3	221	280	330	610	109	289	27	6	274	63	-35	+0	-1	+17	+21	0.3
/ 162G	—	A+C		—	650	596	132	23	3	12	40	174	9	5	2	221	281	331	611	109	291	27	6	274	63	-23	+0	-1	+12	+14	0.2
Career	—	MLE		—	1951	1778	373	68	9	27	121	514	37	18	6	210	274	304	578	94	277	26	6	261	63	-61	+0	-2	+30	+37	0.4
/ 162G	—	MLE		—	650	592	125	23	3	9	40	171	12	6	2	211	274	306	580	95	280	26	6	261	63	-23	+0	-1	+12	+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.

2025 ROKACL Reds · 47 PAwOBA .176 → .125 (−51)K% 23.4% → 33.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.40%	÷1.010	×1.440	—	—	33.37%
BB% (unintentional) /PA	4.26%	÷0.931	×0.620	—	×0.995	2.82%
HBP% /PA	4.26%	—	×0.720	—	×0.995	3.05%
Singles /BIP	19.35%	÷1.039	×0.820	—	×0.995	15.20%
Doubles /BIP	0.00%	÷0.963	×0.720	—	×0.995	0.00%
Triples /BIP	0.00%	÷1.150	×0.720	—	×0.995	0.00%
Home runs /BIP	0.00%	÷1.252	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 150, 1B 108, 2B 93, 3B 130, K 102, BB 86 — 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).

Result: wOBA .176 → .125; ISO .000 → .000; BABIP .188 → .147. 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 Reds · 143 PAwOBA .366 → .224 (−143)K% 16.8% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.78%	÷0.957	×1.220	—	—	21.40%
BB% (unintentional) /PA	6.29%	÷0.994	×0.700	—	×0.995	4.41%
HBP% /PA	4.20%	—	×0.700	—	×0.995	2.92%
Singles /BIP	26.92%	÷1.068	×0.680	×1.004	×0.995	17.13%
Doubles /BIP	8.65%	÷0.960	×0.600	×1.004	×0.995	5.40%
Triples /BIP	0.00%	÷0.901	×0.600	×1.004	×0.995	0.00%
Home runs /BIP	2.88%	÷1.136	×0.470	—	×0.995	1.19%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 127, 1B 114, 2B 92, 3B 80, K 91, BB 99 — 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 ×1.004.

Result: wOBA .366 → .224; ISO .141 → .071; BABIP .366 → .228. 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 Reds · 73 PAwOBA .294 → .197 (−97)K% 16.4% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.44%	÷0.988	×1.220	—	—	20.31%
BB% (unintentional) /PA	13.70%	÷1.026	×0.700	—	×1.008	9.41%
HBP% /PA	5.48%	—	×0.700	—	×1.008	3.86%
Singles /BIP	19.15%	÷1.015	×0.680	×0.959	×1.008	12.39%
Doubles /BIP	6.38%	÷0.975	×0.600	×0.959	×1.008	3.79%
Triples /BIP	0.00%	÷0.900	×0.600	×0.959	×1.008	0.00%
Home runs /BIP	0.00%	÷0.917	×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 83, 1B 103, 2B 95, 3B 80, K 98, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.959.

Result: wOBA .294 → .197; ISO .051 → .031; BABIP .255 → .162. 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
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
	/162	664	20	1	217	311	367	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	/162	664	12	0	209	276	313	+11.9	+22.4	2.6	pk7: 7
#3Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
	/162	664	11	1	226*	277*	345*	+11.7	+0.0	0.2	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	1.5	1,006	16	8	220	278	322	+18	+20	1.0	1.0
	/162	664	10	5	220	278	322	+11.9	+13.2	0.7	pk7: 1
#4Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
	/162	664	13	1	218*	277*	341*	+11.6	-0.1	-0.1	pk7: 2
#5Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
	/162	664	8	2	211*	275*	330*	+11.9	+0.0	-0.0	pk7: 1
#6Joel Skinner'83-'91 * career totals — 8 seasons, 1,551 PA	2.3	1,551	17	3	227*	270*	327*	+27	-0	-0.6	0.2
#6Joel Skinner'83-'91 * career totals — 8 seasons, 1,551 PA	/162	664	7	1	227*	270*	327*	+11.7	-0.1	-0.3	pk7: 1

Angelo Mora

Career Stats + Projections

How the minor-league lines were translated

Career Comps