Casey Schmitt

1B San Francisco Giants

Age 28 R/R 6'0" / 215 lbs MLB HR -15%H -3% Svc 2.203S2 · Ctrl thru 2030 ILInjured 60-Day (D60)

Overview

MLBD6040-MANArb-1FA 2031

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	25	MLBSF	113	.252/.286/.477	6	0	117	0.5
2025	26	MLBSF	348	.237/.308/.401	12	0	102	0.7
2026	27	MLBSF	409	.271/.304/.483	21	9	123	1.4
2027PROJ	28	MLBSF	250	.262/.307/.451	11	5	117	0.7
2028PROJ98% MLB	29	MLBSF	399	.260/.304/.445	17	6	114	0.9
2029PROJ98% MLB	30	MLBSF	394	.256/.300/.437	16	4	111	0.6

Last 3 seasons WAR 2.6 · Next 3 projected WAR 2.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2030Service2.203First FA2031Super-2

2027Arb-1$2M2028Arb-2$3M2029Arb-3$3M2030Arb-4$3M

Skills · percentileStatcast 2024-2026

Whiff%90

Chase%90

xwOBA76

Barrel%65

Speed63

Avg EV58

CompsAdam Jones (age 28) · Jake Fox (age 28) · Tyrone Taylor (age 28)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 118117vR 112

AVG/OBP/SLG.262 / .307 / .451

PA250

HR11

SB5

K%21

BB%4

BABIP293

ISO193

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$14M ctrl surplus

Tools · Splits · ContractCON 50 / POW 50

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT50

Whiff%

906.6%

xAVG

730.270

POWER50

Barrel%

6510.5

Avg EV

5889.6

Bat Spd

5271.6

EYE40

Chase%

9019.4%

SPEED50

Sprint

6328.0

Platoon Splits2024-2026 · 546 PA

vs LHP

vs RHP

Edge

193

353

—

wRC+

109

103

◀L

wOBA

329

321

—

ISO

177

189

▶R

BABIP

305

281

◀L

23.8%

22.7%

▶R

BB%

7.3%

5.4%

◀◀L

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

Status Pre-Arb SUPER-2

MLB Debut 2023

Service 2.203 yrs.days

Team Control Through 2030

First FA Year 2031

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-1	$2M	+1.5	$12M	+$10M
2028	Arb-2	$3M	+0.9	$3M	+$1.0M
2029	Arb-3	$3M	+0.6	$2M	+$0.0M (cut)
2030	Arb-4	$3M	+0.2	$0.6M	+$0.0M (cut)
Totals		$5M		$18M	+$11M

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 = actual YTD + projected ROS + total. 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)
2021	22	A	San Jose Giants	—	280	251	62	14	1	8	22	44	5	2	2	247	320	406	727	159	269	16	8	323	52	—	—	—	—	—	—
2022	23	AAA	Sacramento River Cats	—	16	15	5	1	0	1	0	5	0	0	0	333	333	600	933	267	400	31	0	380	122	—	—	—	—	—	—
2022	23	AA	Richmond Flying Squirrels	—	127	120	41	10	1	3	6	29	1	2	0	342	378	517	895	175	432	23	5	394	109	—	—	—	—	—	—
2022	23	A+	Eugene Emeralds	—	383	333	91	14	1	17	42	86	6	1	2	273	365	474	839	201	319	22	11	371	78	—	—	—	—	—	—
2023	24	MLB	San Francisco Giants	—	277	253	52	15	0	5	13	65	5	2	1	206	258	324	582	119	253	23	5	258	63	-12	+0	-1	+5	+6	-0.2
2023	24	AAA	Sacramento River Cats	—	217	200	60	13	1	4	14	44	1	3	1	300	349	435	784	135	364	20	6	346	97	—	—	—	—	—	—
2024	25	MLB	San Francisco Giants	—	113	107	27	4	1	6	4	25	1	0	0	252	286	477	762	224	273	22	4	330	117	+2	+0	-2	+2	+2	0.5
2024	25	AAA	Sacramento River Cats	—	335	292	80	16	1	13	31	70	4	11	2	274	352	469	821	195	309	21	9	355	92	—	—	—	—	—	—
2025	26	MLB	San Francisco Giants	—	348	312	74	15	0	12	27	83	5	0	0	237	308	401	709	163	282	24	8	314	102	+1	+0	-3	+1	+8	0.7
2025	26	AAA	Sacramento River Cats	—	17	13	2	0	0	0	4	2	0	0	0	154	353	154	507		182	12	24	271	32	—	—	—	—	—	—
2026	27	MLB	San Francisco Giants	—	409	387	105	17	1	21	11	81	7	9	1	271	304	483	787	212	291	20	3	342	123	+11	+1	-0	-7	+9	1.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1147	1059	258	51	2	44	55	254	18	11	2	244	292	420	713	177	277	22	5	312	97	-4	+1	-5	+1	+25	1.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	22	A MLE	San Jose Giants	—	280	260	52	11	1	6	13	62	5	2	2	200	252	319	571	119	230	22	5	245	52	—	—	—	—	—	—
2022	23	AAA MLE	Sacramento River Cats	—	16	15	5	1	0	1	0	6	0	0	0	333	333	600	933	267	383	38	0	349	122	—	—	—	—	—	—
2022	23	AA MLE	Richmond Flying Squirrels	—	127	122	36	8	1	2	4	36	1	2	0	295	323	426	749	131	404	28	3	329	109	—	—	—	—	—	—
2022	23	A+ MLE	Eugene Emeralds	—	383	345	74	11	1	12	30	113	6	1	2	214	289	357	645	142	277	30	8	284	78	—	—	—	—	—	—
2023	24	MLB MLE	San Francisco Giants	—	277	253	52	15	0	5	13	65	5	2	1	206	258	324	582	119	253	23	5	262	63	-12	+0	-1	+5	+6	-0.2
2023	24	AAA MLE	Sacramento River Cats	—	217	204	58	12	1	3	10	49	1	3	1	284	321	397	718	113	354	23	5	312	97	—	—	—	—	—	—
2024	25	MLB MLE	San Francisco Giants	—	113	107	27	4	1	6	4	25	1	0	0	252	286	477	762	224	273	22	4	340	117	+2	+0	-2	+2	+2	0.5
2024	25	AAA MLE	Sacramento River Cats	—	335	302	74	13	1	10	21	78	4	11	2	245	303	394	697	149	280	23	6	304	92	—	—	—	—	—	—
2025	26	MLB MLE	San Francisco Giants	—	348	313	76	15	0	13	26	83	5	0	0	243	311	415	726	173	282	24	7	319	102	+1	+0	-3	+1	+8	0.7
2025	26	AAA MLE	Sacramento River Cats	—	17	14	2	0	0	0	3	2	0	0	0	143	294	143	437		167	12	18	215	32	—	—	—	—	—	—
2026	27	MLB MLE	San Francisco Giants	—	409	388	108	17	1	23	10	81	7	9	1	278	309	505	814	227	291	20	2	351	123	+11	+1	-0	-7	+9	1.4
2021	22	A MLE	San Jose Giants	—	280	260	52	11	1	6	13	62	5	2	2	200	252	319	571	119	237	22	5	245	52	—	—	—	—	—	—
2021	22	A RAW	San Jose Giants	—	280	251	62	14	1	8	22	44	5	2	2	247	320	406	727	159	269	16	8	323	52	—	—	—	—	—	—
2022	23	A+ MLE	3 teams	—	526	482	115	20	2	15	34	155	7	3	2	239	298	382	680	143	317	29	6	297	87	—	—	—	—	—	—
2022	23	A+ RAW	3 teams	—	526	468	137	25	2	21	48	120	7	3	2	293	367	489	856	197	352	23	9	377	87	—	—	—	—	—	—
2023	24	MLB MLE	2 teams	—	494	457	111	27	1	8	23	114	6	5	2	243	288	359	647	116	303	23	5	284	78	-13	+0	-1	+5	+11	0.3
2023	24	MLB RAW	2 teams	—	494	453	112	28	1	9	27	109	6	5	2	247	298	373	671	126	303	22	5	297	78	-13	+0	-1	+5	+11	0.3
2024	25	AAA MLE	2 teams	—	448	409	102	17	2	16	25	103	5	11	2	249	301	418	719	169	288	23	6	313	98	—	—	—	—	—	—
2024	25	AAA RAW	2 teams	—	448	399	107	20	2	19	35	95	5	11	2	268	335	471	806	203	299	21	8	349	98	—	—	—	—	—	—
2025	26	MLB MLE	2 teams	—	365	327	78	15	0	13	29	85	5	0	0	239	310	404	714	165	280	23	8	315	99	-0	+0	-3	+1	+8	0.6
2025	26	MLB RAW	2 teams	—	365	325	76	15	0	12	31	85	5	0	0	234	310	391	701	157	277	23	8	312	99	-0	+0	-3	+1	+8	0.6
2026	27	MLB MLE	San Francisco Giants	—	409	388	108	17	1	23	10	81	7	9	1	278	309	505	814	227	295	20	2	351	123	+11	+1	-0	-7	+9	1.4
2026	27	MLB RAW	San Francisco Giants	—	409	387	105	17	1	21	11	81	7	9	1	271	304	483	787	212	291	20	3	342	123	+11	+1	-0	-7	+9	1.4
2021	22	A MLE	San Jose Giants	—	280	260	52	11	1	6	13	62	5	2	2	200	252	319	571	119	230	22	5	245	52	—	—	—	—	—	—
2022	23	A+ MLE	3 teams	—	526	480	115	20	2	15	34	155	7	3	2	240	298	383	682	144	311	29	6	297	87	—	—	—	—	—	—
2023	24	MLB MLE	2 teams	—	494	462	111	27	1	8	23	114	6	5	2	240	288	355	643	115	297	23	5	284	78	—	—	—	—	—	—
2024	25	AAA MLE	2 teams	—	448	415	102	17	2	16	25	103	5	11	2	246	301	412	713	166	278	23	6	313	98	—	—	—	—	—	—
2025	26	MLB MLE	2 teams	—	365	328	78	15	0	13	29	85	5	0	0	238	310	402	713	165	276	23	8	315	99	—	—	—	—	—	—
2026	27	MLB MLE	San Francisco Giants	—	409	389	108	17	1	23	10	81	7	9	1	278	309	504	812	226	291	20	2	351	123	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	25	AAA MLE	2 teams	—	448	415	102	17	2	16	25	103	5	11	2	246	301	412	713	166	278	23	6	313	98	—	—	—	—	—	—
2025	26	MLB MLE	2 teams	—	365	328	78	15	0	13	29	85	5	0	0	238	310	402	713	165	276	23	8	315	99	—	—	—	—	—	—
2026	27	MLB MLE	San Francisco Giants	—	409	389	108	17	1	23	10	81	7	9	1	278	309	504	812	226	291	20	2	351	123	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	28	MLB MLE	SF	100%	372	347	92	15	1	17	16	78	6	7	2	268	312	468	781	200	298	21	4	341	117	+7	+1	+1	-7	+8	1.5
▸ 2027 — real world (MLB)
2027	28	MLB CTX	SF	100%	250	233	61	10	1	11	11	52	4	5	1	262	307	451	758	189	293	21	4	332	117	+5	+1	+1	-4	+5	0.7
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	29	MLB MLE	SF	98%	407	380	102	17	1	19	18	86	6	6	2	266	309	462	771	196	296	21	4	337	114	+7	+0	-0	-7	+9	0.9
2029	30	MLB MLE	SF	98%	402	376	99	16	1	18	17	87	6	4	1	262	305	453	758	191	294	22	4	332	111	+5	+0	-1	-7	+9	0.6
2030	31	MLB MLE	SF	98%	387	362	94	15	1	17	16	85	6	1	1	258	300	442	742	185	290	22	4	325	106	+3	-0	-2	-7	+8	0.2
2031	32	MLB MLE	SF	98%	368	345	87	14	1	15	15	82	5	1	1	251	292	428	720	177	285	22	4	316	100	+0	-0	-2	-7	+8	-0.1
2032	33	MLB MLE	SF	98%	338	318	77	12	0	13	13	78	4	1	0	243	283	410	693	167	279	23	4	305	92	-3	+0	-3	-6	+7	-0.5
2033	34	MLB MLE	SF	94%	294	277	64	9	0	11	11	70	4	0	0	234	272	389	661	155	270	24	4	291	83	-6	+0	-4	-5	+6	-0.9
2028	29	MLB CTX	SF	98%	399	373	96	16	1	17	17	85	6	6	1	260	304	445	748	185	292	21	4	328	114	+7	+1	-0	-7	+9	0.9
2029	30	MLB CTX	SF	98%	394	368	94	16	1	16	17	85	6	4	1	256	300	437	736	180	289	22	4	323	111	+5	+0	-1	-7	+9	0.6
2030	31	MLB CTX	SF	98%	379	355	90	15	1	15	16	83	5	1	1	252	294	426	720	174	286	22	4	316	106	+3	-0	-2	-7	+8	0.2
2031	32	MLB CTX	SF	98%	361	338	83	13	1	14	15	81	5	1	1	246	287	412	699	167	281	22	4	308	100	+0	-0	-2	-6	+8	-0.1
2032	33	MLB CTX	SF	98%	331	311	74	12	0	12	13	76	4	1	0	238	278	395	673	157	274	23	4	297	92	-3	+0	-3	-6	+7	-0.5
2033	34	MLB CTX	SF	94%	275	260	60	9	0	10	10	65	3	0	0	228	267	375	642	146	266	24	4	283	83	-5	+0	-4	-5	+6	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3286	3064	755	132	6	128	143	729	47	24	6	246	290	419	709	172	281	22	4	311	97	+2	+2	-18	-37	+71	2.1
/ 162G	—	A+C		—	650	606	149	26	1	25	28	144	9	5	1	246	289	416	705	170	281	22	4	311	97	+0	+0	-4	-7	+14	0.4
Career	—	MLE		—	4968	4614	1152	200	12	186	235	1140	70	48	15	250	296	419	715	169	290	23	5	312	97	+7	+3	-18	-43	+78	2.8
/ 162G	—	MLE		—	650	604	151	26	2	24	31	149	9	6	2	250	297	419	715	169	291	23	5	312	97	+1	+0	-3	-8	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Wilmer Floreslast yr '25 career totals — 13 seasons, 4,706 PA	7.1	4,706	169	6	259	316	429	-12	-16	14.8	14.1
/162	664	24	1	-1.6	-2.3	2.1	pk7: 13
#2Bill Robinson'66-'83 * career totals — 14 seasons, 4,729 PA	7.1	4,729	166	71	257*	299*	479*	-37	-17	10.1	11.0
/162	664	23	10	-5.2	-2.3	1.4	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	5.4	3,564	148	29	252	293	433	-18	-11	9.0	9.2
/162	664	28	5	-3.3	-2.0	1.7	pk7: 9
#3Scott Spiezio'96-'07 * career totals — 11 seasons, 4,412 PA	6.6	4,412	119	33	245*	318*	406*	-34	-15	7.5	7.8
/162	664	18	5	-5.2	-2.3	1.1	pk7: 8
#4Scott Hairstonlast yr '14 career totals — 9 seasons, 2,624 PA	4.0	2,624	106	36	242	297	444	-18	-16	6.0	6.6
/162	664	27	9	-4.5	-4.1	1.5	pk7: 7
#5Dick Williams'51-'64 * career totals — 12 seasons, 3,265 PA	4.9	3,265	70	12	256*	305*	408*	-19	-5	4.2	6.0
/162	664	14	2	-3.8	-1.1	0.9	pk7: 8
#6Nate Schierholtzlast yr '14 career totals — 8 seasons, 2,275 PA	3.4	2,275	52	30	253	302	405	-24	-6	2.0	2.8
/162	664	15	9	-7.1	-1.8	0.6	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
Casey Schmitt (OGILVIE)	28	50	50	50	40	266/310/464	198	298	13	5	21%	4%	117	+1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Adam Jones 2014 · MLB	28	53→56	56→60	49→50	42	277/315/469	193	306	25	13	19%	4%	119	+2.7	268/305/448	180	297	24	7	19%	4%	110	+2.1	264/305/434	170	288	24	2	17%	4%	107	+2.0
✕Jake Fox 2010 · MLB	28	49→53	60	47→45	43	260/317/478	218	291	27	6	22%	6%	122	+2.9	233/289/407	174	268	20	3	21%	5%	95	+1.0	218/273/378	160	242	20	0	20%	5%	80	-0.1
✕Tyrone Taylor 2022 · MLB	28	48→54	56→60	53→55	46	251/316/445	194	294	23	10	23%	7%	114	+2.3	244/297/441	197	290	22	12	24%	6%	105	+1.7	239/289/432	193	287	20	14	24%	5%	101	+0.8
●Dansby Swanson 2022 · MLB	28	48→55	55	48→55	47	251/315/441	190	303	23	10	25%	8%	112	+2.2	256/321/429	173	318	21	13	25%	8%	111	+2.1	253/322/417	164	314	20	14	25%	9%	109	+2.1
●Ty Wigginton 2007 · MLB	29	50→55	57→60	43→50	48	263/320/461	197	289	25	7	19%	7%	118	+2.7	273/329/464	191	300	24	5	18%	7%	122	+3.0	276/331/455	180	299	23	3	16%	6%	122	+2.4
✕Didi Gregorius 2019 · MLB	29	52→55	56→60	46→50	49	269/317/460	191	272	24	8	13%	6%	117	+2.6	245/297/428	183	252	23	7	14%	6%	102	+1.5	231/281/402	171	239	21	5	15%	5%	91	+0.4
✕Devin Mesoraco 2016 · MLB	28	48→50	55→60	40	49	249/321/436	187	283	23	5	21%	8%	113	+2.3	222/305/375	153	258	18	5	21%	9%	93	+0.8	208/295/367	159	233	21	1	21%	9%	89	+0.2
●Harrison Bader 2022 · MLB	28	47→57	56→55	50→55	46	248/315/442	194	294	24	14	24%	7%	112	+2.2	241/289/376	135	283	15	24	20%	5%	87	+0.4	246/306/404	158	305	19	16	25%	6%	101	+0.8
●Javier Báez 2021 · MLB	28	48→58	60→65	49→55	37	257/292/479	222	314	28	12	28%	4%	113	+2.3	249/294/432	183	316	24	14	28%	5%	103	+1.5	244/290/409	165	307	21	14	27%	4%	96	+1.0
✕Lane Thomas 2024 · MLB	28	50→52	54→55	50→55	44	254/311/438	184	311	22	14	25%	7%	110	+2.1	236/306/403	167	297	19	22	26%	8%	100	+1.3	221/303/376	155	280	17	26	26%	10%	93	+0.5
✕Alexei Ramirez 2009 · MLB	27	53→59	55→50	46→55	44	275/305/456	180	280	24	14	13%	4%	112	+2.2	271/316/409	138	287	17	12	12%	6%	104	+1.6	268/318/395	127	286	15	11	12%	6%	102	+1.6
★Salvador Perez 2018 · MLB	28	48→58	60→70	48→30	40	261/291/472	210	278	29	2	19%	3%	111	+2.1	261/298/488	227	279	32	4	20%	4%	118	+2.6	277/313/543	266	305	41	1	24%	3%	138	+2.9
✕Renato Núñez 2021 · MLB	27	47→53	56→60	44→30	46	246/311/435	188	295	25	3	26%	8%	109	+2.0	234/304/429	195	287	26	5	28%	7%	106	+1.8	214/288/411	197	257	27	1	28%	6%	94	+0.6
●Scott Hairston 2007 · MLB	27	48→51	57→60	50	47	254/314/450	196	294	25	6	23%	7%	114	+2.3	250/310/451	201	285	24	7	21%	7%	112	+2.2	250/306/455	205	278	24	9	20%	7%	113	+1.4
●Pedro Álvarez 2015 · MLB	28	43→48	61→65	47→45	46	237/300/452	215	281	31	6	28%	8%	109	+2.0	236/297/448	212	278	30	4	27%	8%	107	+1.9	228/284/435	207	266	30	2	27%	7%	99	+1.0
✕Joe Mather 2009 · MLB	27	44	58→60	51→50	47	236/303/439	203	256	26	10	21%	7%	107	+1.9	215/271/353	138	259	15	11	23%	6%	76	-0.4	205/255/310	105	257	10	8	24%	6%	59	-0.7
✕Welington Castillo 2016 · MLB	29	46→56	54→55	47→30	45	240/302/414	174	283	23	2	24%	7%	101	+1.4	253/305/422	169	313	23	3	26%	6%	104	+1.6	257/306/415	158	323	22	2	27%	6%	103	+0.9
●Tony Batista 2002 · MLB	28	46→47	60→65	46→45	45	248/292/465	217	259	29	6	18%	5%	109	+2.0	239/282/432	193	245	26	6	16%	5%	98	+1.2	234/275/425	191	234	27	7	14%	4%	95	+1.0
✕Cyle Hankerd 2013 · AAA	28	47→49	56→60	48→45	42	246/313/442	196	277	23	6	21%	4%	112	+2.2	243/314/415	172	288	21	5	23%	5%	106	+1.8	245/321/417	172	286	20	2	21%	6%	107	+1.1
✕Ozzie Albies 2024 · MLB	27	50→60	59→60	52→55	48	266/319/479	213	282	26	12	17%	7%	122	+3.0	249/307/410	161	270	19	10	15%	7%	101	+1.4	238/299/379	141	258	16	9	15%	7%	92	+0.7

Casey Schmitt

Career Stats + Projections

Career Comps

Career Path Comps