Casey Schmitt — OGILVIE

Casey Schmitt1B San Francisco Giants

Age 27 R/R 6'0" / 215 lbs MLB HR -15%H -3% Svc 2.203S2 · Ctrl thru 2029 ILInjured 60-Day (D60)

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 408 proj PA

wRC+†vL 114113vR 108

AVG/OBP/SLG—

PA409

HR0

SB9

K%23

BB%6

BABIP279

ISO180

MLB%100%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$3M ctrl surplus

Tools · Recent Form · 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

Recent Formrolling true talent ⓘ

K%24%▼26% over 39 PA (60d) · proj 23%

BB%6%·5% over 39 PA (60d) · proj 6%

ISO.177·.162 over 37 AB (60d) · proj .180xISO .224 vs .189 prior

BABIP.285·.200 over 25 BIP (60d) · proj .287xBABIP .352 vs .309 prior

SLASH.245/.299/.423·proj .249/.304/.430

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 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext	$0.1M	+0.1	$0.5M	+$0.4M
2027	Arb-2	$2M	+0.6	$2M	+$0.1M
2028	Arb-3	$3M	+0.4	$1M	+$0.0M (cut)
2029	Arb-4	$3M	+0.2	$0.6M	+$0.0M (cut)
Totals		$2M		$5M	+$0.5M

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.

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	105	+2	-0	—	—	+6	0.7
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	143	+1	+0	—	—	+0	0.1
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	153	+8	+0	—	—	+3	1.1
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	137	+17	-1	—	—	+8	2.5
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	61	-13	+0	-1	+5	+6	-0.3
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	120	+5	+0	—	—	+5	1.0
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	109	+1	+0	-2	+2	+2	0.4
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	127	+11	+1	—	—	+7	2.0
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	99	-1	+0	-3	+1	+8	0.6
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	69	-1	+0	—	—	+0	-0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	738	672	153	34	1	23	44	173	11	2	1	228	286	384	670	156	269	23	6	295	86	-12	+0	-5	+8	+16	0.7
▸ 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	-16	-0	—	—	+6	-1.1
2022	23	AAA MLE	Sacramento River Cats	—	16	15	5	1	0	1	0	7	0	0	0	333	333	600	933	267	353	44	0	320	103	+0	+0	—	—	+0	0.0
2022	23	AA MLE	Richmond Flying Squirrels	—	127	122	34	8	1	2	4	36	1	2	0	279	307	410	717	131	385	28	3	316	100	+0	+0	—	—	+3	0.3
2022	23	A+ MLE	Eugene Emeralds	—	383	349	71	10	1	12	26	117	6	1	2	203	270	341	611	138	264	31	7	268	68	-15	-1	—	—	+8	-0.7
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	261	63	-12	+0	-1	+5	+6	-0.2
2023	24	AAA MLE	Sacramento River Cats	—	217	204	53	11	1	3	10	52	1	3	1	260	298	368	665	108	326	24	5	288	81	-5	+0	—	—	+5	0.0
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	338	115	+2	+0	-2	+2	+2	0.4
2024	25	AAA MLE	Sacramento River Cats	—	335	302	69	12	1	10	21	83	4	11	2	228	287	374	662	146	263	25	6	290	82	-7	+1	—	—	+7	0.2
2025	26	MLB MLE	San Francisco Giants	—	348	312	76	15	0	13	27	83	5	0	0	244	314	417	731	173	282	24	8	318	101	+0	+0	-3	+1	+8	0.7
2025	26	AAA MLE	Sacramento River Cats	—	17	14	2	0	0	0	3	3	0	0	0	143	294	143	437		159	18	18	210	28	-1	+0	—	—	+0	-0.1
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	486	110	19	2	15	30	159	7	3	2	226	281	366	647	140	302	30	6	281	76	—	—	—	—	—	—
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	76	—	—	—	—	—	—
2023	24	MLB MLE	2 teams	—	494	457	106	26	1	8	23	117	6	5	2	232	278	346	624	114	291	24	5	273	71	-17	+0	-1	+5	+11	-0.2
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	71	-17	+0	-1	+5	+11	-0.2
2024	25	AAA MLE	2 teams	—	448	409	97	16	2	17	25	108	5	11	2	237	289	411	700	174	273	24	6	302	91	—	—	—	—	—	—
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	91	—	—	—	—	—	—
2025	26	MLB MLE	2 teams	—	365	326	78	15	0	13	30	86	5	0	0	239	313	405	718	166	283	24	8	313	98	-1	+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	98	-1	+0	-3	+1	+8	0.6
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	484	110	19	2	15	30	159	7	3	2	227	281	368	649	140	296	30	6	281	76	—	—	—	—	—	—
2023	24	MLB MLE	2 teams	—	494	462	106	26	1	8	23	117	6	5	2	229	278	342	620	113	285	24	5	273	71	—	—	—	—	—	—
2024	25	AAA MLE	2 teams	—	448	415	97	16	2	17	25	108	5	11	2	234	289	405	694	171	265	24	6	302	91	—	—	—	—	—	—
2025	26	MLB MLE	2 teams	—	365	327	78	15	0	13	30	86	5	0	0	239	313	404	717	165	276	24	8	313	98	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	24	MLB MLE	2 teams	—	494	462	106	26	1	8	23	117	6	5	2	229	278	342	620	113	285	24	5	273	71	—	—	—	—	—	—
2024	25	AAA MLE	2 teams	—	448	415	97	16	2	17	25	108	5	11	2	234	289	405	694	171	265	24	6	302	91	—	—	—	—	—	—
2025	26	MLB MLE	2 teams	—	365	327	78	15	0	13	30	86	5	0	0	239	313	404	717	165	276	24	8	313	98	—	—	—	—	—	—
YTD	27	MLB MLE	SF	—	409	387	108	17	1	23	11	81	7	9	1	279	311	506	818	227	296	20	3	348	122	+11	+1	-0	-7	+9	1.4
▸ 2026 season
▸ 2026 season — so far · projected rest · full
SO FAR	27	MLB RAW	SF	—	409	387	105	17	1	21	11	81	7	9	1	271	304	483	787	212	291	20	3	342	122	+11	+1	-0	-7	+9	1.4
YTD	27	MLB RAW	SF	—	409	387	105	17	1	21	11	81	7	9	1	271	304	483	787	212	291	20	3	342	117	+8	+1	-0	-7	+9	1.1
ROS	27	MLB MLE	SF	100%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	286	—	—	334	113	—	—	-0	-0	—	—
ROS	27	MLB CTX	SF	100%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	—	—	—	—	—	—	—	+0	-0	—	—
FULL	27	MLB A+C	SF	—	409	387	105	17	1	21	11	81	7	9	1	271	304	483	787	212	291	20	3	342	122	+11	+1	-0	-7	+9	1.4
TOT	27	MLB MLE	SF	—	409	387	108	17	1	23	11	81	7	9	1	279	311	506	818	227	296	20	3	348	122	+11	+1	-0	-7	+9	1.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	28	MLB MLE	SF	98%	433	404	100	20	1	20	19	92	7	7	1	248	293	450	744	203	269	21	4	323	105	+2	+1	+1	-8	+9	0.6
2028	29	MLB MLE	SF	98%	424	395	96	19	1	19	19	91	7	6	1	243	290	441	730	197	268	21	4	321	103	+2	+1	+0	-8	+9	0.4
2029	30	MLB MLE	SF	98%	416	388	93	18	0	19	19	91	6	6	1	240	286	433	719	193	266	22	5	318	101	+1	+1	-1	-7	+9	0.2
2030	31	MLB MLE	SF	98%	401	374	88	17	0	18	18	89	6	5	1	235	281	425	707	190	263	22	4	313	98	-1	+1	-1	-7	+9	-0.0
2031	32	MLB MLE	SF	98%	382	356	83	16	0	17	17	86	6	4	1	233	280	421	701	188	259	23	4	306	93	-3	+0	-2	-7	+8	-0.3
2032	33	MLB MLE	SF	98%	352	328	75	14	0	15	16	81	5	3	0	229	275	409	684	180	253	23	5	298	88	-5	+1	-3	-6	+8	-0.6
2027	28	MLB CTX	SF	98%	424	395	95	19	1	18	19	90	7	7	1	241	287	430	718	190	262	21	4	301	105	+2	+1	+1	-8	+9	0.6
2028	29	MLB CTX	SF	98%	416	388	92	18	1	18	19	90	6	6	1	237	283	428	711	191	261	22	5	299	103	+2	+1	+0	-7	+9	0.4
2029	30	MLB CTX	SF	98%	408	380	89	18	0	17	19	89	6	6	1	234	281	416	697	182	260	22	5	296	101	+1	+1	-1	-7	+9	0.2
2030	31	MLB CTX	SF	98%	393	366	85	17	0	16	18	87	6	5	1	232	279	410	689	178	257	22	5	292	98	-1	+1	-1	-7	+9	-0.0
2031	32	MLB CTX	SF	98%	374	348	79	15	0	15	17	84	6	4	1	227	275	399	674	172	253	22	5	285	93	-3	+0	-2	-7	+8	-0.3
2032	33	MLB CTX	SF	98%	345	322	70	13	0	13	15	79	5	3	0	217	263	379	642	161	248	23	4	277	88	-5	+1	-3	-6	+7	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3098	2871	663	134	3	120	151	692	47	33	6	231	281	405	686	174	261	22	5	293	89	-17	+4	-12	-34	+67	0.9
/ 162G	—	A+C		—	650	602	139	28	1	25	32	145	10	7	1	231	281	405	686	174	261	22	5	293	89	-4	+1	-2	-7	+14	0.2
Career	—	MLE		—	4521	4183	978	191	8	167	229	1062	65	52	13	234	284	403	687	169	271	23	5	300	89	-17	+4	-12	-35	+68	0.9
/ 162G	—	MLE		—	650	601	140	27	1	24	33	153	9	7	2	233	283	401	684	168	270	24	5	300	89	-3	+1	-2	-7	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Duvalllast yr '24 career totals — 11 seasons, 3,723 PA	5.6	3,723	195	22	227	287	459	-31	+11	11.0	11.8
/162	664	35	4	-5.5	+2.0	2.0	pk7: 13
#2Brandon Drurylast yr '24 career totals — 9 seasons, 3,110 PA	4.7	3,110	109	5	246	298	425	+4	+2	9.5	10.6
/162	664	23	1	+0.8	+0.5	2.0	pk7: 12
#3Maikel Francolast yr '22 career totals — 9 seasons, 3,573 PA	5.4	3,573	130	5	244	293	414	+13	-5	9.3	9.6
/162	664	24	1	+2.4	-1.0	1.7	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	5.9	3,915	166	46	242	287	429	-19	-11	9.3	9.3
/162	664	28	8	-3.3	-1.9	1.6	pk7: 9
#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
#5Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#6Craig Monroelast yr '09 career totals — 8 seasons, 2,898 PA	4.4	2,898	114	19	253	302	443	-28	-32	3.8	4.3
/162	664	26	4	-6.5	-7.4	0.9	pk7: 5

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)	27	50	50	50	40	257/301/459	202	286	19	7	21%	4%	113	+1.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alexei Ramirez 2009 · MLB	27	53→59	55→50	46→55	45	277/310/458	181	282	24	14	13%	4%	114	+2.4	272/319/410	138	289	17	12	12%	6%	105	+1.7	269/321/396	127	288	15	11	12%	7%	100	+1.4
✕Joe Mather 2009 · MLB	27	43→45	58→60	51→50	47	235/303/436	201	256	26	10	21%	7%	107	+1.8	216/273/355	139	261	15	11	23%	6%	76	-0.4	209/263/316	107	263	11	8	24%	7%	61	-0.6
●Adam Jones 2013 · MLB	27	53→56	54→60	47→50	44	274/320/457	182	304	22	12	18%	5%	118	+2.6	272/310/458	186	303	24	10	19%	4%	114	+2.4	269/305/453	183	298	25	7	19%	3%	108	+2.1
✕Chris Heisey 2012 · MLB	27	47→52	55	50→55	45	246/305/426	180	286	24	11	23%	6%	105	+1.7	240/290/393	153	288	17	11	23%	5%	91	+0.7	234/280/375	141	280	14	11	22%	5%	81	-0.0
✕Tyrone Taylor 2022 · MLB	28	48→52	55→60	53→55	46	249/315/441	192	291	23	10	23%	7%	112	+2.2	242/296/437	195	287	22	12	24%	6%	104	+1.6	237/288/427	190	284	20	14	24%	5%	97	+0.6
✕Renato Núñez 2021 · MLB	27	46→51	56→60	44→30	46	243/309/428	185	291	25	3	26%	8%	107	+1.8	233/304/428	195	285	26	5	28%	7%	105	+1.7	214/287/411	197	256	27	1	28%	6%	93	+0.6
✕Humberto Cota 2005 · MLB	26	46	58→50	50→30	43	247/303/448	201	296	27	7	27%	6%	109	+2.0	235/286/360	125	291	12	4	23%	6%	82	-0.0	265/335/384	119	319	12	0	20%	9%	105	+0.9
●Scott Hairston 2007 · MLB	27	47→51	56→60	50	46	251/310/443	193	290	25	6	23%	7%	111	+2.1	250/310/450	200	285	24	7	21%	8%	112	+2.2	250/308/455	205	279	24	9	20%	7%	110	+1.3
✕Jason LaRue 2001 · MLB	27	47→52	55	48→40	47	247/313/429	182	268	24	7	19%	6%	109	+2.0	241/313/409	168	304	19	5	26%	7%	104	+1.6	243/334/428	185	300	20	1	25%	8%	109	+1.5
✕Rocco Baldelli 2009 · MLB	27	49→59	55	50→55	44	253/313/439	185	298	23	11	23%	6%	111	+2.1	235/290/391	156	292	19	8	26%	6%	91	+0.7	228/273/371	143	283	19	4	26%	4%	79	-0.1
✕Jake Fox 2010 · MLB	28	49→54	59→60	47→45	44	260/319/476	216	292	27	6	22%	6%	122	+2.9	232/289/403	171	268	20	3	21%	5%	94	+0.9	223/280/385	162	250	20	0	20%	5%	84	+0.1
✕Brad Miller 2017 · MLB	27	47→57	56→60	49→50	49	245/310/443	198	285	23	9	23%	8%	110	+2.1	231/314/413	182	295	21	7	27%	11%	105	+1.7	230/323/459	228	279	31	5	28%	11%	116	+1.2
●Willy Adames 2023 · MLB	27	47→53	59→60	44→50	48	248/314/459	211	305	27	7	28%	9%	116	+2.5	235/317/434	199	285	25	10	26%	10%	112	+2.2	238/319/443	205	285	27	12	26%	10%	111	+2.2
✕Wilin Rosario 2015 · MLB	26	50→54	53→60	44→45	43	259/296/431	171	293	22	5	20%	5%	103	+1.5	247/285/396	149	299	17	6	23%	5%	90	+0.6	244/273/387	143	291	17	3	23%	3%	80	-0.1
●Harrison Bader 2022 · MLB	28	49→56	56→55	50→55	48	252/326/450	198	301	24	14	24%	8%	118	+2.7	242/292/377	135	285	15	24	20%	6%	88	+0.5	245/306/402	157	304	19	16	25%	6%	98	+0.7
✕Chris Aguila 2005 · MLB	26	46→54	57→55	51→50	46	244/300/447	203	282	26	9	24%	7%	107	+1.9	254/298/395	141	309	14	12	22%	6%	95	+0.9	240/292/385	145	298	18	11	25%	6%	87	+0.2
●Dansby Swanson 2022 · MLB	28	49→55	55	48→55	48	252/319/443	191	305	23	10	25%	8%	114	+2.3	257/323/431	174	320	21	13	25%	8%	112	+2.2	254/323/418	164	315	20	14	25%	9%	107	+2.0
✕Mike Brosseau 2021 · MLB	27	49→57	53→50	47→45	44	252/314/431	180	304	21	8	24%	6%	109	+2.0	222/299/375	153	290	19	7	29%	8%	91	+0.7	215/291/338	122	274	18	3	27%	7%	78	-0.1
✕Austin Hays 2022 · MLB	27	47→55	53→55	44→45	44	244/296/418	174	279	21	8	22%	6%	99	+1.3	254/308/419	165	305	17	5	22%	6%	104	+1.6	255/310/413	158	312	16	4	23%	6%	101	+1.1
✕Chris Woodward 2003 · MLB	27	49→48	53→50	52→45	48	251/309/432	181	288	21	7	21%	7%	107	+1.9	253/309/390	137	305	12	4	20%	7%	97	+1.1	254/310/374	120	312	8	1	20%	7%	92	+0.3

Career Stats + Projections

Career Comps

Career Path Comps