Luke Scherrer — OGILVIE

Luke ScherrerC Bradenton Marauders

Age 21 R/R 6'1" / 215 lbs A HR -15%K -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION263 act + 9 ros · stats below = ROS only

showingROS

wRC+†61

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP279

ISO93

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$12M ctrl surplus

Tools · ContractCON 36 / POW 40

Toolsscout grade

CONTACT36

scouting grade only

POWER40

scouting grade only

EYE54

scouting grade only

SPEED54

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2035	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-3	$1.0M	—	—	—
Totals		$3M		$3M	+$1M

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)
2024	19	ROK	FCL Pirates	—	139	110	30	8	0	0	18	21	8	4	2	273	412	345	757	73	330	15	13	350	123	+4	+0	—	—	+3	0.7
2025	20	A	Bradenton Marauders	—	63	55	9	0	0	0	7	19	1	1	1	164	270	164	433		250	30	11	218	34	-5	-0	—	—	+1	-0.4
2025	20	ROK	FCL Pirates	—	92	72	14	1	0	1	12	15	7	7	2	194	363	250	613	56	228	16	13	302	90	-1	+1	—	—	+2	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	19	ROK MLE	FCL Pirates	—	139	116	24	6	0	0	12	29	8	4	2	207	324	259	582	52	260	21	9	263	64	-6	+0	—	—	+3	-0.3
2025	20	A MLE	Bradenton Marauders	—	63	57	7	0	0	0	5	27	1	1	1	123	206	123	329		232	43	8	163	-4	-8	-0	—	—	+1	-0.7
2025	20	ROK MLE	FCL Pirates	—	92	77	12	1	0	1	7	21	7	7	2	156	286	208	494	52	181	23	8	219	34	-7	+1	—	—	+2	-0.5
2024	19	ROK MLE	FCL Pirates	—	139	116	24	6	0	0	12	29	8	4	2	207	324	259	582	52	270	21	9	263	64	—	—	—	—	—	—
2024	19	ROK RAW	FCL Pirates	—	139	110	30	8	0	0	18	21	8	4	2	273	412	345	757	73	330	15	13	350	64	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	155	134	19	1	0	1	12	48	8	8	3	142	253	172	425	30	209	31	8	196	19	—	—	—	—	—	—
2025	20	ROK RAW	2 teams	—	155	127	23	1	0	1	19	34	8	8	3	181	325	213	537	31	237	22	12	268	19	—	—	—	—	—	—
2024	19	ROK MLE	FCL Pirates	—	139	118	24	6	0	0	12	29	8	4	2	203	324	254	578	51	260	21	9	263	64	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	155	134	19	1	0	1	12	48	8	8	3	142	253	172	425	30	202	31	8	196	19	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	19	ROK MLE	FCL Pirates	—	139	118	24	6	0	0	12	29	8	4	2	203	324	254	578	51	260	21	9	263	64	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	155	134	19	1	0	1	12	48	8	8	3	142	253	172	425	30	202	31	8	196	19	—	—	—	—	—	—
YTD	21	A MLE	PIT	—	263	231	43	3	1	5	19	99	9	6	4	186	274	273	547	87	290	38	7	243	51	-15	-0	+0	+5	+6	-0.6
▸ 2026 season
YTD	21	A RAW	PIT	—	263	224	52	3	1	6	26	70	9	6	4	232	336	335	671	103	303	27	10	307	51	—	—	—	—	—	—
ROS	21	A MLE	PIT	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		281	33	11	259	61	-0	+0	+0	+0	+0	-0.0
TOT	21	A MLE	PIT	—	272	239	44	3	1	5	20	102	9	6	4	184	272	268	540	84	287	38	7	244	51	-16	-0	+0	+5	+6	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	PIT	34%	297	265	53	8	1	5	23	92	7	5	2	200	281	294	576	94	283	31	8	269	68	-11	+0	+0	+5	+6	0.1
2028	23	MLB MLE	PIT	48%	385	343	72	11	2	8	30	115	9	6	3	210	291	324	614	114	285	30	8	277	73	-12	+0	+0	+7	+8	0.3
2029	24	MLB MLE	PIT	53%	443	395	83	13	2	9	35	130	10	7	3	210	291	322	612	111	286	29	8	281	76	-12	+0	+0	+8	+10	0.5
2030	25	MLB MLE	PIT	55%	473	422	89	14	2	10	38	138	10	7	3	211	291	325	616	114	286	29	8	284	78	-12	+0	+0	+8	+10	0.7
2031	26	MLB MLE	PIT	56%	490	436	93	15	2	11	40	143	11	8	3	213	296	333	628	119	286	29	8	284	78	-13	+0	+0	+9	+11	0.7
2032	27	MLB MLE	PIT	55%	495	440	94	15	2	11	41	145	11	8	3	214	297	332	629	118	286	29	8	284	78	-13	+0	+0	+9	+11	0.7
2033	28	MLB MLE	PIT	55%	493	438	92	14	2	11	41	145	11	7	3	210	294	326	620	116	285	29	8	283	78	-13	+0	-1	+9	+11	0.6
2034	29	MLB MLE	PIT	53%	486	431	90	14	2	10	41	144	11	7	3	209	294	320	614	111	284	30	8	281	76	-14	+0	-1	+9	+11	0.4
2035	30	MLB MLE	PIT	53%	476	423	87	13	2	10	40	142	10	6	3	206	290	317	606	111	283	30	8	278	74	-14	+0	-2	+8	+10	0.2
2036	31	MLB MLE	PIT	52%	449	398	80	12	1	9	38	135	10	5	2	201	287	304	591	103	280	30	8	274	72	-15	+0	-3	+8	+10	0.0
2027	22	MLB CTX	PIT	34%	102	91	18	3	0	2	8	31	2	2	1	198	277	297	574	99	281	30	8	249	68	-4	+0	+0	+2	+2	0.0
2028	23	MLB CTX	PIT	48%	187	166	34	5	1	3	15	56	4	3	1	205	286	301	588	96	283	30	8	256	73	-6	+0	+0	+3	+4	0.2
2029	24	MLB CTX	PIT	53%	234	208	44	7	1	5	19	69	5	4	2	212	293	327	620	115	284	29	8	261	76	-7	+0	+0	+4	+5	0.3
2030	25	MLB CTX	PIT	55%	259	230	48	8	1	5	21	76	6	4	2	209	292	317	609	109	284	29	8	263	78	-7	+0	+0	+5	+6	0.4
2031	26	MLB CTX	PIT	56%	273	243	51	8	1	6	22	80	6	4	2	210	292	325	617	115	284	29	8	264	78	-7	+0	+0	+5	+6	0.4
2032	27	MLB CTX	PIT	55%	272	242	51	8	1	6	22	79	6	4	2	211	293	326	619	116	283	29	8	264	78	-7	+0	+0	+5	+6	0.4
2033	28	MLB CTX	PIT	55%	269	239	49	8	1	5	22	79	6	4	2	205	288	310	598	105	283	29	8	263	78	-7	+0	-0	+5	+6	0.3
2034	29	MLB CTX	PIT	53%	259	229	47	7	1	5	22	77	6	4	2	205	292	310	602	105	282	30	8	261	76	-7	+0	-1	+5	+6	0.2
2035	30	MLB CTX	PIT	53%	250	222	46	7	1	5	21	75	5	3	1	207	290	315	606	108	281	30	8	258	74	-8	+0	-1	+4	+5	0.1
2036	31	MLB CTX	PIT	52%	234	207	41	6	1	4	20	70	5	3	1	198	284	295	579	97	278	30	9	254	72	-8	+0	-1	+4	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2339	2077	429	67	9	46	192	692	51	35	16	207	290	314	604	107	284	30	8	260	73	-67	+1	-4	+42	+51	2.3
/ 162G	—	A+C		—	650	577	120	19	3	13	53	192	14	10	4	208	290	319	609	111	285	30	8	260	73	-19	+0	-1	+12	+14	0.6
Career	—	MLE		—	4790	4249	877	136	18	95	392	1409	116	78	33	206	291	314	605	108	283	29	8	277	73	-130	+2	-7	+80	+97	4.3
/ 162G	—	MLE		—	650	577	118	18	2	13	53	191	16	11	4	205	289	310	600	106	279	29	8	277	73	-19	+0	-1	+12	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#4Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#5Sandy 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
#6Ronny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.8	2,524	52	37	210	289	322	+45	+24	4.1	3.8
/162	664	14	10	+11.9	+6.3	1.1	pk7: 3

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
Luke Scherrer (OGILVIE)	21	31→36	35→40	49→54	54	193/274/281	88	281	3	4	32%	8%	61	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Mora 2021 · A	21	43	42→45	53→55	49	209/289/317	108	255	9	14	21%	8%	74	-0.5	227/292/341	114	308	10	10	28%	6%	80	-0.1	222/278/328	106	295	10	8	27%	5%	70	-0.4
✕Adrian Abreu 2012 · A	21	39	38→40	47→55	47	190/263/273	82	247	5	9	24%	8%	53	-2.1	212/292/300	88	256	8	17	19%	9%	71	-0.8	209/299/290	80	241	9	25	16%	10%	70	-0.3
✕Tucker Mitchell 2022 · A	21	42	40→45	51→45	39	201/262/293	92	296	7	7	33%	6%	57	-1.8	195/269/306	111	299	13	8	37%	7%	65	-1.2	180/257/292	111	259	15	7	35%	7%	55	-0.8
✕Jorge Alcantara 2013 · A	21	42	41→45	50	43	201/271/299	98	298	8	11	33%	8%	63	-1.4	193/263/287	94	294	6	14	34%	8%	57	-1.8	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Christian Cerda 2023 · A	20	41→37	39→45	50→40	51	195/281/288	93	256	6	9	25%	10%	65	-1.2	193/287/297	104	256	11	4	27%	11%	69	-0.9	180/276/283	102	231	12	2	26%	11%	61	-1.1
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Tomás Nido 2015 · A	21	44→43	39→45	49→30	43	212/267/299	87	285	6	7	27%	6%	61	-1.5	230/261/332	102	302	9	2	26%	4%	65	-1.2	238/272/346	108	283	9	0	19%	4%	71	-0.5
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Glenn Santiago 2022 · A	21	43	40	51→45	49	207/278/298	91	250	7	11	20%	7%	65	-1.2	199/261/287	88	292	7	8	32%	7%	56	-1.9	182/247/261	79	270	7	8	33%	7%	43	-1.1
✕Christian Cairo 2022 · A	21	40→46	40	53→60	46	188/283/278	90	291	7	16	35%	10%	63	-1.3	193/292/274	81	290	6	18	32%	11%	66	-1.1	205/292/276	72	294	4	31	28%	9%	64	-0.8
✕Jeter Downs 2019 · A	21	41→40	43→50	52→55	43	204/269/311	107	264	11	18	26%	6%	65	-1.2	205/270/351	146	270	17	18	29%	7%	75	-0.5	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Nelson Medina 2022 · A	21	40	38→45	53→50	48	189/275/275	85	275	5	15	31%	10%	59	-1.6	188/260/285	97	334	7	13	42%	8%	55	-1.9	138/202/215	77	286	6	16	50%	7%	15	-1.7
✕Geoandry Montilla 2017 · A	21	44	41→45	45→50	46	214/281/315	101	286	8	9	27%	8%	70	-0.8	197/264/296	99	314	8	8	37%	7%	59	-1.6	131/203/233	101	238	8	7	45%	7%	21	-1.2
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Jakson Reetz 2017 · A	21	44→33	39→55	47→45	44	205/289/298	94	298	5	6	31%	8%	70	-0.8	198/275/298	100	292	9	5	33%	7%	65	-1.2	193/274/380	187	243	23	4	31%	7%	81	-0.0
✕Abrahan Gutierrez 2021 · A	21	44→43	39→45	46→40	43	214/262/293	80	273	7	6	24%	6%	57	-1.8	225/298/328	103	300	8	4	26%	8%	80	-0.2	218/296/319	101	289	9	2	26%	8%	74	-0.3
✕Oswaldo Linares 2023 · A	20	42	41→40	48→40	52	203/299/295	93	261	9	6	24%	10%	74	-0.6	189/286/270	81	279	7	4	31%	11%	63	-1.4	163/267/230	67	248	6	2	33%	11%	45	-1.0
✕Max George 2017 · A	21	39→38	40→45	47→55	43	187/274/280	93	280	7	10	33%	8%	61	-1.5	185/265/295	110	249	10	19	28%	7%	61	-1.5	164/253/286	122	221	13	23	31%	8%	52	-1.3
✕Arturo De Freitas 2022 · A	21	43	38→45	50→40	39	205/264/287	82	287	5	8	29%	5%	57	-1.8	173/225/248	75	289	7	4	40%	6%	33	-3.6	143/191/216	73	246	8	0	44%	5%	11	-1.5
✕Brett Martinez 2006 · A	22	44→40	41→40	54→50	45	209/283/308	98	287	8	8	28%	8%	69	-0.9	201/259/267	66	286	5	7	29%	7%	50	-2.3	192/247/241	49	273	5	5	30%	6%	38	-2.1

Career Stats + Projections

Career Comps

Career Path Comps