Rafael Escalante

Rafael EscalanteC FCL Twins

Age 24 R/R 5'10" / 160 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 61 proj PA

wRC+†69

AVG/OBP/SLG.209 / .287 / .298

PA5

HR0

K%28

BB%9

ISO90

MLB%0%

Value2026 · 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 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
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	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.3M	+$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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 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 below FG-DC by 1-3 WAR.

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)
2019	17	ROK	DSL Pirates 1	—	112	87	18	5	2	3	15	13	9	2	4	207	378	414	792	207	208	12	13	359	129	+4	-1	—	—	+2	0.5
2021	19	ROK	DSL PIT Black	—	111	91	25	5	0	0	15	18	5	4	1	275	405	330	735	55	342	16	14	348	122	+3	+0	—	—	+2	0.6
2022	20	ROK	FCL Pirates	—	121	93	21	8	2	0	24	23	4	0	1	226	405	355	760	129	300	19	20	357	127	+4	-0	—	—	+3	0.6
2023	21	ROK	FCL Pirates	—	115	90	23	4	0	2	23	15	1	1	1	256	412	367	779	111	284	13	20	361	130	+4	-0	—	—	+2	0.7
2025	23	ROK	FCL Twins	—	18	13	4	0	0	1	5	4	0	0	0	308	500	538	1.038	231	375	22	28	460	198	+2	+0	—	—	+0	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	17	ROK MLE	DSL Pirates 1	—	112	93	14	4	1	2	9	19	9	2	4	151	288	280	568	129	152	17	8	256	59	-5	-1	—	—	+2	-0.4
2021	19	ROK MLE	DSL PIT Black	—	111	97	18	3	0	0	9	27	5	4	1	186	288	216	505	31	256	24	8	235	45	-7	+0	—	—	+2	-0.5
2022	20	ROK MLE	FCL Pirates	—	121	102	16	6	1	0	15	31	4	0	1	157	289	235	525	78	224	26	12	246	53	-7	-0	—	—	+3	-0.5
2023	21	ROK MLE	FCL Pirates	—	115	99	19	3	0	2	14	23	1	1	1	192	298	283	581	91	217	20	12	258	61	-5	-0	—	—	+2	-0.3
2025	23	ROK MLE	FCL Twins	—	18	15	3	0	0	1	3	6	0	0	0	200	333	400	733	200	291	33	17	326	107	+0	+0	—	—	+0	0.1
2019	17	ROK MLE	DSL Pirates 1	—	112	93	14	4	1	2	9	19	9	2	4	151	288	280	568	129	164	17	8	256	59	—	—	—	—	—	—
2019	17	ROK RAW	DSL Pirates 1	—	112	87	18	5	2	3	15	13	9	2	4	207	378	414	792	207	208	12	13	359	59	—	—	—	—	—	—
2021	19	ROK MLE	DSL PIT Black	—	111	97	18	3	0	0	9	27	5	4	1	186	288	216	505	31	257	24	8	235	45	—	—	—	—	—	—
2021	19	ROK RAW	DSL PIT Black	—	111	91	25	5	0	0	15	18	5	4	1	275	405	330	735	55	342	16	14	348	45	—	—	—	—	—	—
2022	20	ROK MLE	FCL Pirates	—	121	102	16	6	1	0	15	31	4	0	1	157	289	235	525	78	225	26	12	246	53	—	—	—	—	—	—
2022	20	ROK RAW	FCL Pirates	—	121	93	21	8	2	0	24	23	4	0	1	226	405	355	760	129	300	19	20	357	53	—	—	—	—	—	—
2023	21	ROK MLE	FCL Pirates	—	115	99	19	3	0	2	14	23	1	1	1	192	298	283	581	91	227	20	12	258	61	—	—	—	—	—	—
2023	21	ROK RAW	FCL Pirates	—	115	90	23	4	0	2	23	15	1	1	1	256	412	367	779	111	284	13	20	361	61	—	—	—	—	—	—
2025	23	ROK MLE	FCL Twins	—	18	15	3	0	0	1	3	6	0	0	0	200	333	400	733	200	250	33	17	326	107	—	—	—	—	—	—
2025	23	ROK RAW	FCL Twins	—	18	13	4	0	0	1	5	4	0	0	0	308	500	538	1.038	231	375	22	28	460	107	—	—	—	—	—	—
2019	17	ROK MLE	DSL Pirates 1	—	112	93	14	4	1	2	9	19	9	2	4	151	288	280	568	129	152	17	8	256	59	—	—	—	—	—	—
2021	19	ROK MLE	DSL PIT Black	—	111	96	18	3	0	0	9	27	5	4	1	188	288	219	507	31	256	24	8	235	45	—	—	—	—	—	—
2022	20	ROK MLE	FCL Pirates	—	121	101	16	6	1	0	15	31	4	0	1	158	289	238	527	79	224	26	12	246	53	—	—	—	—	—	—
2023	21	ROK MLE	FCL Pirates	—	115	99	19	3	0	2	14	23	1	1	1	192	298	283	581	91	217	20	12	258	61	—	—	—	—	—	—
2025	23	ROK MLE	FCL Twins	—	18	15	3	0	0	1	3	6	0	0	0	200	333	400	733	200	291	33	17	326	107	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	ROK MLE	FCL Pirates	—	115	99	19	3	0	2	14	23	1	1	1	192	298	283	581	91	217	20	12	258	61	—	—	—	—	—	—
2025	23	ROK MLE	FCL Twins	—	18	15	3	0	0	1	3	6	0	0	0	200	333	400	733	200	291	33	17	326	107	—	—	—	—	—	—
▸ 2026 season
2026	24	MLB MLE	MIN	0%	5	5	1	0	0	0	0	1	0	0	0	200	200	200	400		286	20	0	270	69	-0	+0	+0	+0	+0	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	MIN	30%	105	93	21	3	1	2	10	28	1	1	0	226	308	344	652	118	287	27	10	278	74	-3	+0	+0	+2	+2	0.1
2028	26	MLB MLE	MIN	44%	216	192	42	7	1	4	20	58	2	2	1	219	299	328	627	109	287	27	9	283	77	-6	+0	+0	+4	+5	0.3
2029	27	MLB MLE	MIN	49%	286	256	55	9	1	5	26	76	2	3	1	215	292	316	609	102	287	27	9	285	79	-7	+0	+0	+5	+6	0.4
2030	28	MLB MLE	MIN	51%	332	295	65	11	2	6	31	88	3	3	1	220	301	332	633	112	287	27	9	285	79	-8	+0	-1	+6	+7	0.4
2031	29	MLB MLE	MIN	51%	354	315	68	11	2	6	33	95	3	3	1	216	296	321	617	105	286	27	9	283	77	-9	+0	-1	+6	+8	0.3
2032	30	MLB MLE	MIN	51%	367	327	70	11	2	6	34	99	3	3	1	214	294	315	609	101	284	27	9	280	76	-11	+0	-2	+7	+8	0.2
2033	31	MLB MLE	MIN	51%	353	314	67	11	2	6	33	96	3	2	1	213	294	318	613	105	282	27	9	276	73	-11	+0	-3	+6	+8	-0.0
2027	25	MLB CTX	MIN	30%	32	29	6	1	0	1	3	9	0	0	0	207	281	345	626	138	287	28	9	272	74	-1	+0	+0	+1	+1	0.0
2028	26	MLB CTX	MIN	44%	95	85	18	3	0	2	9	25	1	1	0	212	295	318	612	106	287	26	9	277	77	-3	+0	+0	+2	+2	0.1
2029	27	MLB CTX	MIN	49%	140	125	28	4	1	3	13	37	1	1	0	224	302	344	646	120	287	26	9	279	79	-4	+0	+0	+3	+3	0.2
2030	28	MLB CTX	MIN	51%	171	152	33	5	1	3	16	45	1	2	1	217	296	322	618	105	287	26	9	279	79	-4	+0	-0	+3	+4	0.2
2031	29	MLB CTX	MIN	51%	182	161	35	6	1	3	17	49	2	2	1	217	300	323	623	106	286	27	9	277	77	-5	+0	-1	+3	+4	0.2
2032	30	MLB CTX	MIN	51%	189	167	36	6	1	3	18	51	2	1	1	216	299	317	617	102	285	27	10	274	76	-5	-0	-1	+3	+4	0.1
2033	31	MLB CTX	MIN	51%	182	162	35	6	1	3	17	50	1	1	0	216	294	321	615	105	282	27	9	270	73	-6	+0	-1	+3	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	991	881	191	31	5	18	93	266	8	8	3	217	297	325	622	108	287	27	9	275	73	-28	+0	-4	+18	+21	0.8
/ 162G	—	A+C		—	650	578	125	20	3	12	61	174	5	5	2	216	297	324	620	107	286	27	9	275	73	-18	+0	-2	+12	+14	0.6
Career	—	MLE		—	2495	2203	459	79	13	40	237	647	36	24	13	208	296	310	606	102	274	26	9	276	73	-56	+1	-7	+36	+44	1.8
/ 162G	—	MLE		—	650	574	119	21	3	10	62	169	9	6	3	207	295	307	601	99	274	26	10	276	73	-18	+0	-2	+12	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Jack Hannahanlast yr '14 career totals — 7 seasons, 1,867 PA	2.8	1,867	29	6	232	315	348	+6	+29	6.2	6.2
/162	664	10	2	+2.0	+10.4	2.2	pk7: 6
#3Ronny 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
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	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 4 projected seasons	1.6	1,052	18	9	217	293	322	+19	+16	1.8	1.7
/162	664	12	6	+11.9	+10.1	1.1	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
Rafael Escalante (OGILVIE)	24	—	—	—	—	209/287/298	89	286	1	1	28%	9%	69	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Vito Friscia 2021 · A	24	43	40→45	49→40	42	208/266/303	94	290	7	5	30%	7%	61	-1.5	209/292/323	114	317	11	4	34%	10%	76	-0.4	198/289/313	115	298	12	2	34%	10%	72	-0.4
✕Jacob Stallings 2014 · A	24	40→50	42→45	46→40	49	194/286/303	109	268	8	5	29%	10%	70	-0.8	208/265/299	91	289	7	5	29%	6%	60	-1.6	251/331/388	137	303	14	0	21%	10%	101	+0.7
✕Nick Fortes 2021 · A	24	40→44	39→45	46→45	46	196/260/283	87	248	6	5	23%	7%	55	-2.0	222/288/345	123	257	14	8	19%	6%	80	-0.2	219/286/341	122	248	15	8	18%	6%	76	-0.2
✕Aaron McKeithan 2023 · A	23	45	40	45→40	44	215/292/306	91	293	8	4	28%	7%	73	-0.6	217/295/297	80	271	8	4	22%	7%	72	-0.7	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Jeferson Morales 2023 · A	24	38→48	46→45	49→50	43	193/273/321	128	259	13	9	30%	7%	70	-0.9	215/289/341	126	276	12	9	25%	7%	79	-0.2	221/295/347	125	275	11	8	22%	7%	80	-0.1
✕Michael Curry 2021 · A	24	45	42→45	48→45	45	217/284/324	107	301	10	5	30%	8%	73	-0.6	211/276/326	115	325	12	7	36%	8%	71	-0.8	190/260/297	107	295	13	4	38%	8%	55	-1.0
✕Bryan Holaday 2011 · A	23	42	42→45	47→40	42	201/282/303	102	295	9	5	33%	8%	69	-0.9	209/262/295	86	270	7	6	24%	5%	58	-1.7	220/288/344	124	255	13	2	19%	7%	76	-0.1
✕Jose Herrera 2021 · A	24	43	40	47→40	50	209/288/305	96	279	8	5	26%	10%	71	-0.8	218/290/310	92	290	9	5	26%	9%	72	-0.7	213/289/293	79	280	8	3	25%	9%	65	-0.6
✕Chadd Krist 2014 · A	24	43	42→40	43→45	47	209/282/314	105	272	9	6	25%	8%	70	-0.8	190/247/286	96	271	9	6	31%	6%	51	-2.3	159/208/244	86	229	9	3	34%	5%	23	-1.5
✕Jhoneiker Betancourt 2023 · A	23	43	40→50	50→40	42	206/280/300	94	283	7	6	28%	6%	67	-1.1	205/276/339	134	277	16	4	31%	6%	74	-0.5	180/260/332	152	234	22	0	33%	7%	72	-0.3
✕Ronnie Richardson 2014 · A	24	43	41→40	47→50	45	211/274/317	106	277	8	8	26%	7%	68	-1.0	216/305/312	96	290	6	10	25%	9%	79	-0.2	208/311/302	94	281	5	10	24%	10%	78	-0.2
✕Brian Serven 2019 · A	24	42	42→50	41→30	41	206/258/318	112	267	9	4	26%	5%	62	-1.4	192/248/315	123	247	13	4	27%	5%	58	-1.7	217/296/335	118	314	12	1	32%	8%	79	-0.1
✕Andrew Susac 2013 · A	23	42→38	43→50	45→30	45	204/279/315	111	288	11	4	31%	9%	70	-0.9	217/292/358	141	289	16	3	29%	9%	84	+0.2	217/296/371	154	282	18	1	28%	9%	86	+0.1
✕Chris Denove 2006 · A	23	44	40	46→40	46	211/286/303	92	280	7	5	26%	8%	70	-0.9	200/259/270	70	271	4	4	26%	6%	51	-2.2	245/303/334	88	297	6	3	18%	6%	79	-0.1
✕Aramis Garcia 2017 · A	24	42→41	43→50	46→45	41	210/263/315	105	286	12	4	30%	6%	63	-1.4	215/260/357	142	294	17	2	32%	5%	72	-0.7	192/231/311	119	253	16	3	31%	3%	48	-0.8
✕Stevie Berman 2019 · A	24	44	40→45	48→40	47	212/278/302	90	258	7	4	20%	7%	66	-1.1	223/294/340	117	281	12	6	24%	8%	80	-0.1	190/279/306	116	242	12	2	26%	9%	67	-0.3
✕Carson Blair 2014 · A	24	39	44→50	45→30	41	190/258/311	122	294	11	6	37%	8%	61	-1.5	206/279/340	134	336	13	3	39%	9%	76	-0.4	198/275/332	134	322	13	1	40%	9%	69	-0.5
✕Kole Cottam 2021 · A	24	43	43→45	45→30	42	206/278/320	114	309	10	4	34%	8%	70	-0.8	214/280/333	119	345	11	3	38%	7%	74	-0.5	206/275/324	118	337	10	0	39%	7%	68	-0.5
✕Zach Wright 2014 · A	24	45→44	42→45	44→40	43	219/285/323	104	299	10	6	29%	7%	74	-0.6	202/272/315	113	290	12	7	32%	7%	67	-1.1	179/255/293	114	256	13	5	34%	7%	53	-0.9
✕Wynston Sawyer 2016 · A	24	44	39→45	52→45	45	210/266/298	88	268	6	7	24%	6%	60	-1.6	226/301/334	108	290	9	6	24%	8%	82	+0.0	228/314/342	113	289	10	2	23%	9%	86	+0.1

Career Stats + Projections

Career Comps

Career Path Comps