Estanlin Cassiani

Estanlin CassianiCF San Jose Giants

Age 23 L/L 5'11" / 155 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2036

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 138 proj PA

wRC+†61

AVG/OBP/SLG.218 / .269 / .297

PA11

HR0

K%24

BB%5

ISO80

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 56 / POW 33

Toolsscout grade

CONTACT56

scouting grade only

POWER33

scouting grade only

EYE40

scouting grade only

SPEED53

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	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
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
Totals		$0.0M		$-1.0M	+$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. 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	18	ROK	DSL Giants Black	—	70	62	18	4	2	0	3	8	3	10	1	290	353	419	772	129	333	11	4	336	114	+1	+2	—	—	+2	0.4
2022	19	ROK	DSL Giants Orange	—	195	176	66	3	2	0	14	21	1	15	7	375	424	415	839	40	423	11	7	373	139	+9	+0	—	—	+4	1.4
2023	20	ROK	ACL Giants Orange	—	191	169	53	12	1	1	19	29	2	5	1	314	389	414	804	101	371	15	10	362	131	+7	+1	—	—	+4	1.2
2024	21	A	San Jose Giants	—	253	222	50	5	0	0	13	39	8	7	1	225	292	248	540	23	269	15	5	245	52	-14	+1	—	—	+5	-0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Giants Black	—	70	63	16	3	2	0	2	11	3	10	1	254	309	365	674	111	278	16	3	262	63	-3	+2	—	—	+2	0.0
2022	19	ROK MLE	DSL Giants Orange	—	195	182	56	2	1	0	8	30	1	15	7	308	340	330	670	22	356	15	4	296	86	-3	+0	—	—	+4	0.1
2023	20	ROK MLE	ACL Giants Orange	—	191	177	43	8	1	1	11	40	2	5	1	243	295	316	611	73	303	21	6	265	65	-8	+1	—	—	+4	-0.3
2024	21	A MLE	San Jose Giants	—	253	225	49	4	0	0	10	55	8	7	1	218	276	236	511	18	263	22	4	223	37	-19	+1	—	—	+5	-1.3
2021	18	ROK MLE	DSL Giants Black	—	70	63	16	3	2	0	2	11	3	10	1	254	309	365	674	111	308	16	3	262	63	—	—	—	—	—	—
2021	18	ROK RAW	DSL Giants Black	—	70	62	18	4	2	0	3	8	3	10	1	290	353	419	772	129	333	11	4	336	63	—	—	—	—	—	—
2022	19	ROK MLE	DSL Giants Orange	—	195	182	56	2	1	0	8	30	1	15	7	308	340	330	670	22	366	15	4	296	86	—	—	—	—	—	—
2022	19	ROK RAW	DSL Giants Orange	—	195	176	66	3	2	0	14	21	1	15	7	375	424	415	839	40	423	11	7	373	86	—	—	—	—	—	—
2023	20	ROK MLE	ACL Giants Orange	—	191	177	43	8	1	1	11	40	2	5	1	243	295	316	611	73	307	21	6	265	65	—	—	—	—	—	—
2023	20	ROK RAW	ACL Giants Orange	—	191	169	53	12	1	1	19	29	2	5	1	314	389	414	804	101	371	15	10	362	65	—	—	—	—	—	—
2024	21	A MLE	San Jose Giants	—	253	225	49	4	0	0	10	55	8	7	1	218	276	236	511	18	283	22	4	223	37	—	—	—	—	—	—
2024	21	A RAW	San Jose Giants	—	253	222	50	5	0	0	13	39	8	7	1	225	292	248	540	23	269	15	5	245	37	—	—	—	—	—	—
2021	18	ROK MLE	DSL Giants Black	—	70	65	16	3	2	0	2	11	3	10	1	246	309	354	663	108	278	16	3	262	63	—	—	—	—	—	—
2022	19	ROK MLE	DSL Giants Orange	—	195	184	56	2	1	0	8	30	1	15	7	304	340	326	666	22	356	15	4	296	86	—	—	—	—	—	—
2023	20	ROK MLE	ACL Giants Orange	—	191	176	43	8	1	1	11	40	2	5	1	244	295	318	613	74	303	21	6	265	65	—	—	—	—	—	—
2024	21	A MLE	San Jose Giants	—	253	233	49	4	0	0	10	55	8	7	1	210	276	227	503	17	263	22	4	223	37	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	ROK MLE	ACL Giants Orange	—	191	176	43	8	1	1	11	40	2	5	1	244	295	318	613	74	303	21	6	265	65	—	—	—	—	—	—
2024	21	A MLE	San Jose Giants	—	253	233	49	4	0	0	10	55	8	7	1	210	276	227	503	17	263	22	4	223	37	—	—	—	—	—	—
▸ 2026 season
2026	23	MLB MLE	SF	0%	11	10	2	0	0	0	1	3	0	0	0	200	273	200	473		286	27	9	259	61	-1	+0	+0	+0	+0	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	SF	30%	165	153	34	6	1	2	9	39	2	3	1	222	274	314	588	92	288	24	5	270	69	-6	+0	+0	+1	+4	-0.2
2028	25	MLB MLE	SF	44%	273	251	56	10	1	4	16	65	4	5	1	223	280	319	599	96	288	24	6	277	73	-9	+1	+0	+1	+6	-0.1
2029	26	MLB MLE	SF	51%	345	316	73	13	2	6	21	81	5	7	2	231	289	342	631	111	288	23	6	281	76	-10	+1	+0	+1	+7	-0.0
2030	27	MLB MLE	SF	52%	386	354	82	15	2	7	24	91	5	8	2	232	290	345	634	113	288	24	6	282	77	-11	+1	+0	+1	+8	-0.0
2031	28	MLB MLE	SF	53%	408	375	85	15	2	7	25	97	5	8	2	227	284	333	617	107	288	24	6	281	76	-11	+1	-1	+1	+9	-0.1
2032	29	MLB MLE	SF	53%	416	381	87	16	2	7	26	100	6	8	2	228	288	336	624	108	288	24	6	279	75	-12	+1	-1	+1	+9	-0.2
2033	30	MLB MLE	SF	52%	417	382	86	15	2	7	26	101	6	8	2	225	285	330	615	105	287	24	6	277	74	-13	+1	-2	+1	+9	-0.4
2027	24	MLB CTX	SF	30%	50	46	11	2	0	1	3	12	1	1	0	239	300	348	648	109	283	24	6	255	69	-2	+0	+0	+0	+1	-0.0
2028	25	MLB CTX	SF	44%	120	110	25	4	1	2	7	28	2	2	1	227	286	336	622	109	283	23	6	261	73	-4	+0	+0	+0	+3	-0.1
2029	26	MLB CTX	SF	51%	175	161	36	6	1	3	10	41	2	3	1	224	277	329	607	106	283	23	6	265	76	-5	+0	+0	+1	+4	-0.0
2030	27	MLB CTX	SF	52%	202	185	41	7	1	3	12	48	3	4	1	222	280	319	599	97	283	24	6	266	77	-6	+0	+0	+1	+4	-0.0
2031	28	MLB CTX	SF	53%	217	198	44	8	1	3	14	52	3	4	1	222	284	318	602	96	283	24	6	265	76	-6	+0	-0	+1	+5	-0.1
2032	29	MLB CTX	SF	53%	219	200	44	8	1	3	14	52	3	4	1	220	281	315	596	95	282	24	6	264	75	-6	+0	-1	+1	+5	-0.1
2033	30	MLB CTX	SF	52%	217	198	44	8	1	3	14	53	3	4	1	222	284	318	602	96	282	24	6	262	74	-7	+0	-1	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1200	1098	245	43	6	18	74	286	17	22	6	223	283	322	605	99	284	24	6	264	72	-36	+2	-2	+4	+26	-0.6
/ 162G	—	A+C		—	650	595	132	23	3	10	40	155	9	12	3	222	281	321	602	99	282	24	6	264	72	-19	+1	-1	+2	+14	-0.3
Career	—	MLE		—	3130	2869	669	107	16	41	179	713	47	84	22	233	289	325	614	91	295	23	6	274	72	-72	+5	-4	+9	+52	-1.1
/ 162G	—	MLE		—	650	596	139	22	3	9	37	148	10	17	5	233	290	326	615	92	293	23	6	274	72	-19	+1	-1	+2	+14	-0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#2Adam 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
#3Guillermo 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
#4Ryan 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
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.0	1,339	21	26	228	283	332	+5	+10	0.2	0.3
/162	664	10	13	+2.4	+5.0	0.1	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Estanlin Cassiani (OGILVIE)	23	51→56	28→33	48→53	40	218/269/297	79	286	1	2	24%	5%	61	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jake Peter 2016 · A	23	48→55	37→40	54→50	43	228/272/302	73	290	3	12	22%	5%	62	-1.4	234/282/319	85	314	7	9	26%	6%	70	-0.8	231/282/318	87	316	8	8	28%	6%	68	-0.8
✕Stephen Gaylor 2015 · A	23	47	37→30	52→55	39	219/266/296	77	308	4	9	29%	5%	59	-1.7	229/281/281	52	297	1	16	22%	6%	61	-1.5	228/281/269	40	297	1	19	22%	6%	54	-0.9
✕Nate Mondou 2018 · A	23	49→54	36→45	49→50	45	227/282/301	74	302	3	11	25%	7%	66	-1.1	221/285/301	80	283	5	8	22%	7%	68	-1.0	226/302/321	95	291	7	9	23%	8%	77	-0.3
✕Nate Sutton 2006 · A	23	46→56	37→40	51→50	47	216/279/292	75	281	3	12	23%	7%	63	-1.4	239/287/335	96	295	8	16	21%	6%	76	-0.4	253/299/329	76	307	4	17	18%	6%	76	-0.4
✕Davis Bradshaw 2021 · A	23	46	36→40	52→50	39	219/261/285	66	286	3	12	24%	4%	55	-2.0	252/305/325	73	319	4	11	21%	5%	80	-0.1	271/324/338	67	344	3	10	21%	5%	87	+0.2
✕Chase Calabuig 2019 · A	23	46→56	36→40	48→45	45	216/276/284	68	287	2	7	24%	7%	60	-1.6	219/291/289	70	296	5	6	25%	9%	68	-1.0	246/308/352	106	288	9	3	17%	8%	84	+0.1
✕Darren Baker 2022 · A	23	51→56	38→30	47→60	44	242/283/327	85	300	5	9	21%	5%	72	-0.7	247/293/312	65	321	3	19	22%	6%	72	-0.7	253/300/306	54	328	2	25	22%	6%	70	-0.7
✕Yoel Yanqui 2019 · A	23	51→52	38→40	48→50	43	242/291/324	82	321	5	9	25%	6%	75	-0.5	219/277/320	101	307	8	12	29%	7%	69	-0.9	200/267/310	110	283	10	13	31%	8%	61	-0.8
✕Cole Sturgeon 2015 · A	23	49	39→40	49→50	43	233/282/316	83	294	6	8	22%	6%	70	-0.9	225/258/306	81	279	5	9	21%	4%	57	-1.8	232/277/324	93	301	8	12	25%	5%	67	-0.7
✕Luis Valenzuela 2017 · A	23	51	39→45	49→45	39	244/267/336	92	297	5	7	20%	3%	68	-1.0	232/258/318	86	292	4	6	21%	3%	60	-1.6	222/246/302	80	282	3	5	22%	3%	50	-1.3
✕Wang-Wei Lin 2011 · A	23	47→53	36→30	50	47	219/286/279	61	282	4	11	23%	8%	63	-1.3	228/301/300	72	297	4	9	23%	8%	74	-0.6	230/307/298	68	298	4	9	22%	8%	72	-0.5
✕Chad Sedio 2017 · A	23	43→50	40→45	55→30	40	207/265/307	100	272	5	10	25%	5%	62	-1.4	218/275/330	112	284	9	4	26%	4%	72	-0.7	216/277/320	105	288	9	1	27%	4%	68	-0.6
✕River Town 2022 · A	23	43→38	37→40	54→50	43	203/281/276	74	285	3	12	28%	7%	61	-1.5	210/295/314	104	266	10	15	23%	8%	76	-0.4	205/297/303	98	254	9	15	22%	9%	73	-0.4
✕Nathan Church 2023 · A	23	42→52	37→45	50→55	45	200/272/272	72	251	5	10	21%	6%	57	-1.8	234/288/317	83	274	6	16	16%	6%	72	-0.7	253/302/366	112	285	12	18	15%	6%	86	+0.3
✕Carlos Arroyo 2016 · A	23	49	37→40	51→50	41	230/268/306	76	292	3	10	22%	5%	61	-1.5	209/238/274	65	284	4	7	27%	3%	42	-2.9	185/198/214	29	250	3	4	27%	1%	11	-1.2
✕Ryan Boldt 2018 · A	23	49→50	40→45	53→55	43	233/288/327	94	308	6	16	26%	6%	75	-0.5	234/290/353	119	307	9	16	25%	6%	82	-0.0	219/272/345	127	307	12	18	31%	6%	71	-0.4
✕Brad Coon 2006 · A	23	48→57	34→40	51→60	43	223/277/279	56	311	1	15	27%	7%	59	-1.6	244/306/310	66	311	2	28	20%	7%	77	-0.3	253/317/318	65	314	3	32	19%	7%	80	-0.1
✕Logan Watkins 2012 · A	22	50→53	37→40	55	44	231/289/314	83	312	3	14	26%	7%	72	-0.7	227/290/323	96	300	6	17	25%	7%	74	-0.5	222/279/293	70	285	3	17	22%	6%	61	-0.7
✕Chris Frey 2007 · A	23	50→57	37→40	50	46	232/288/318	86	292	3	15	21%	6%	72	-0.7	244/285/327	83	293	3	13	17%	5%	72	-0.7	249/285/328	79	294	3	14	16%	4%	70	-0.6
✕Collin Burns 2023 · A	23	49	40→45	49→55	43	237/289/330	93	299	7	13	23%	6%	76	-0.4	205/263/286	81	279	6	17	27%	6%	56	-1.9	181/241/246	65	252	4	21	28%	6%	37	-1.5

Career Stats + Projections

Career Comps

Career Path Comps