Samil Dishmey — OGILVIE

Samil DishmeyOF Rancho Cucamonga Quakes

Age 20 L/R 6'2" / 175 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION170 act + 17 ros · stats below = ROS only

showingROS

wRC+†63

AVG/OBP/SLG.188 / .235 / .250

PA17

HR0

K%35

BB%6

BABIP294

ISO62

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 33 / POW 40

Toolsscout grade

CONTACT33

scouting grade only

POWER40

scouting grade only

EYE52

scouting grade only

SPEED55

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	Arb-1	$0.2M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-2M	+$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)
2023	17	ROK	DSL Angels	—	119	102	30	1	0	1	14	17	3	6	6	294	395	333	728	39	345	14	12	342	117	+2	-1	—	—	+3	0.4
2024	18	ROK	DSL Angels	—	169	138	34	5	2	0	30	26	1	10	3	246	385	312	696	65	304	15	18	330	109	+2	+1	—	—	+4	0.6
2025	19	ROK	ACL Angels	—	108	95	22	1	0	2	10	28	3	3	1	232	324	305	629	74	308	26	9	295	86	-2	+0	—	—	+2	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Angels	—	119	107	25	1	0	1	9	24	3	6	6	234	311	271	582	37	287	20	8	256	59	-6	-1	—	—	+3	-0.4
2024	18	ROK MLE	DSL Angels	—	169	151	28	4	2	0	17	36	1	10	3	185	272	238	511	53	238	21	10	231	42	-12	+1	—	—	+4	-0.7
2025	19	ROK MLE	ACL Angels	—	108	99	16	1	0	2	6	42	3	3	1	162	231	232	464	71	241	39	6	194	17	-11	+0	—	—	+2	-0.8
2023	17	ROK MLE	DSL Angels	—	119	107	25	1	0	1	9	24	3	6	6	234	311	271	582	37	293	20	8	256	59	—	—	—	—	—	—
2023	17	ROK RAW	DSL Angels	—	119	102	30	1	0	1	14	17	3	6	6	294	395	333	728	39	345	14	12	342	59	—	—	—	—	—	—
2024	18	ROK MLE	DSL Angels	—	169	151	28	4	2	0	17	36	1	10	3	185	272	238	511	53	243	21	10	231	42	—	—	—	—	—	—
2024	18	ROK RAW	DSL Angels	—	169	138	34	5	2	0	30	26	1	10	3	246	385	312	696	65	304	15	18	330	42	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	108	99	16	1	0	2	6	42	3	3	1	162	231	232	464	71	255	39	6	194	17	—	—	—	—	—	—
2025	19	ROK RAW	ACL Angels	—	108	95	22	1	0	2	10	28	3	3	1	232	324	305	629	74	308	26	9	295	17	—	—	—	—	—	—
2023	17	ROK MLE	DSL Angels	—	119	106	25	1	0	1	9	24	3	6	6	236	311	274	585	38	287	20	8	256	59	—	—	—	—	—	—
2024	18	ROK MLE	DSL Angels	—	169	149	28	4	2	0	17	36	1	10	3	188	272	242	514	54	238	21	10	231	42	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	108	98	16	1	0	2	6	42	3	3	1	163	231	235	466	71	241	39	6	194	17	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Angels	—	119	106	25	1	0	1	9	24	3	6	6	236	311	274	585	38	287	20	8	256	59	—	—	—	—	—	—
2024	18	ROK MLE	DSL Angels	—	169	149	28	4	2	0	17	36	1	10	3	188	272	242	514	54	238	21	10	231	42	—	—	—	—	—	—
2025	19	ROK MLE	ACL Angels	—	108	98	16	1	0	2	6	42	3	3	1	163	231	235	466	71	241	39	6	194	17	—	—	—	—	—	—
YTD	20	A MLE	LAA	—	170	154	33	7	2	3	10	70	4	5	2	214	280	344	624	130	366	41	6	270	69	-6	+0	+0	-1	+4	-0.3
▸ 2026 season
YTD	20	ROK RAW	LAA	—	80	67	24	6	1	2	9	18	2	1	0	358	449	567	1.016	209	458	22	11	435	69	—	—	—	—	—	—
YTD	20	A RAW	LAA	—	90	82	21	5	2	2	6	33	2	4	2	256	322	439	761	183	404	37	7	337	69	—	—	—	—	—	—
ROS	20	A MLE	LAA	0%	17	16	3	1	0	0	1	6	0	0	0	188	235	250	485	62	295	35	6	261	63	-1	+0	+0	-0	+0	-0.0
TOT	20	A MLE	LAA	—	187	170	36	8	2	3	11	76	4	5	2	212	276	335	611	124	359	41	6	269	68	-7	+0	+0	-1	+4	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	LAA	34%	248	225	47	9	2	4	18	77	3	5	2	209	276	320	596	111	294	31	7	271	70	-9	+0	+0	-1	+5	-0.5
2028	22	MLB MLE	LAA	48%	362	328	69	13	2	7	26	109	5	7	2	210	279	326	605	116	294	30	7	279	75	-11	+1	+0	-2	+8	-0.5
2029	23	MLB MLE	LAA	54%	436	395	85	16	3	9	32	129	6	9	3	215	284	339	623	124	295	30	7	284	78	-11	+1	+0	-3	+9	-0.4
2030	24	MLB MLE	LAA	55%	485	439	96	18	3	11	36	142	7	10	3	219	288	349	637	130	296	29	7	286	80	-12	+1	+0	-3	+11	-0.3
2031	25	MLB MLE	LAA	56%	511	461	100	19	3	11	38	150	7	11	4	217	287	343	629	126	296	29	7	287	81	-12	+1	+0	-3	+11	-0.3
2032	26	MLB MLE	LAA	56%	525	473	104	20	3	12	40	154	7	11	4	220	290	351	641	131	296	29	8	288	81	-12	+1	+0	-3	+11	-0.3
2033	27	MLB MLE	LAA	55%	530	477	105	20	3	12	41	155	7	11	4	220	291	350	642	130	295	29	8	288	81	-12	+1	+0	-3	+11	-0.3
2034	28	MLB MLE	LAA	55%	528	475	104	20	3	12	41	156	7	11	4	219	291	349	640	131	295	30	8	287	80	-12	+1	-1	-3	+11	-0.4
2027	21	MLB CTX	LAA	34%	85	78	17	3	1	2	6	26	1	2	1	218	282	359	641	141	293	31	7	261	70	-3	+0	+0	-1	+2	-0.2
2028	22	MLB CTX	LAA	48%	175	158	34	6	1	4	13	53	2	4	1	215	283	342	625	127	294	30	7	269	75	-5	+0	+0	-1	+4	-0.2
2029	23	MLB CTX	LAA	54%	236	214	47	9	2	5	17	70	3	5	2	220	286	350	637	131	294	30	7	274	78	-6	+0	+0	-1	+5	-0.2
2030	24	MLB CTX	LAA	55%	269	243	53	10	2	6	20	79	4	6	2	218	288	350	638	132	295	29	7	277	80	-6	+0	+0	-2	+6	-0.2
2031	25	MLB CTX	LAA	56%	286	258	57	11	2	6	22	84	4	6	2	221	292	349	641	128	295	29	8	278	81	-7	+0	+0	-2	+6	-0.2
2032	26	MLB CTX	LAA	56%	295	267	59	11	2	7	22	86	4	6	2	221	290	356	646	135	295	29	7	278	81	-7	+0	+0	-2	+6	-0.2
2033	27	MLB CTX	LAA	55%	293	265	58	11	2	7	22	86	4	6	2	219	289	355	643	136	295	29	8	278	81	-7	+0	+0	-2	+6	-0.2
2034	28	MLB CTX	LAA	55%	289	261	58	11	2	7	22	85	4	6	2	222	293	360	653	138	294	29	8	277	80	-7	+0	-0	-2	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1928	1744	383	72	14	44	144	569	26	41	14	220	289	353	642	133	298	30	7	275	75	-48	+3	-0	-12	+42	-1.5
/ 162G	—	A+C		—	650	588	129	24	5	15	49	192	9	14	5	219	289	354	643	134	298	30	8	275	75	-16	+1	-0	-4	+14	-0.5
Career	—	MLE		—	4038	3646	782	142	24	81	305	1180	56	94	36	214	285	333	618	119	292	29	8	279	75	-92	+5	-1	-22	+79	-3.1
/ 162G	—	MLE		—	650	587	126	23	4	13	49	190	9	15	6	215	285	334	619	119	292	29	8	279	75	-16	+1	-0	-4	+14	-0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael 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
#2Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#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 5 projected seasons	3.1	2,058	44	43	218	285	345	-12	+0	-0.4	-0.2
/162	664	14	14	-4.0	+0.0	-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
Samil Dishmey (OGILVIE)	20	28→33	35→40	50→55	52	201/268/302	101	295	2	3	33%	7%	63	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Vicmal De La Cruz 2014 · A	20	39	38→40	47→50	39	189/242/268	78	269	6	5	31%	6%	44	-2.8	186/245/258	72	280	3	6	32%	6%	43	-2.8	147/214/205	58	225	0	6	32%	6%	18	-1.5
✕Luis Liberato 2016 · A	20	37→47	37→50	53→50	41	180/242/256	76	270	4	13	33%	7%	42	-2.9	209/260/327	118	304	9	6	32%	7%	64	-1.3	213/280/360	147	293	15	9	31%	8%	79	-0.1
✕Herman Armas 2007 · A	20	41	40→45	47→50	40	198/265/294	96	288	7	11	32%	6%	59	-1.6	218/287/329	111	286	11	9	26%	7%	76	-0.4	218/293/335	117	266	14	9	23%	8%	78	-0.2
✕Sandy Acevedo 2013 · A	20	41	41→45	50	40	196/269/296	100	293	8	11	34%	7%	61	-1.5	199/266/318	119	286	10	9	32%	7%	65	-1.2	149/220/307	158	194	15	9	31%	7%	43	-0.7
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Luis Barrera 2015 · A	19	35→45	40→45	49→50	44	177/241/269	92	232	7	7	27%	7%	45	-2.7	205/249/284	79	288	4	8	29%	5%	50	-2.3	247/292/355	108	317	4	17	23%	5%	79	-0.1
✕Juan Silva 2011 · A	20	40→46	39→45	52→55	40	190/249/284	95	293	5	8	35%	7%	50	-2.3	212/282/311	99	311	8	13	32%	9%	70	-0.9	229/311/332	104	311	8	29	27%	10%	83	+0.1
✕Jaden Rudd 2023 · A	20	39→36	39→30	49→50	49	188/279/278	90	259	6	12	28%	10%	62	-1.4	179/292/246	67	290	3	14	35%	11%	61	-1.5	155/286/207	52	265	2	16	36%	11%	49	-1.2
✕Omar Lebron 2019 · A	20	39	41→40	49→55	45	192/265/289	97	247	9	15	26%	7%	59	-1.7	194/266/285	91	272	6	9	29%	7%	58	-1.7	150/240/231	81	213	3	9	28%	8%	35	-0.9
✕Hoy Park 2016 · A	20	40→49	41→45	47→55	46	196/269/296	99	264	8	11	28%	8%	61	-1.5	204/280/290	86	281	5	16	27%	8%	63	-1.3	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Thomas Milone 2015 · A	20	41→45	36→45	51→55	38	194/246/266	72	293	3	10	33%	6%	45	-2.7	197/251/260	63	283	3	13	29%	6%	45	-2.7	237/293/354	117	331	7	17	29%	6%	79	-0.1
✕William Beckwith 2011 · A	20	44	41→50	52→50	47	212/283/313	101	273	9	9	25%	8%	70	-0.8	218/283/364	146	288	16	10	29%	6%	83	+0.1	211/277/364	153	280	19	11	31%	6%	79	-0.1
✕Michael De La Cruz 2016 · A	20	41	36→40	45→50	44	192/261/262	70	277	4	9	30%	8%	50	-2.3	192/257/257	65	308	3	10	35%	8%	47	-2.5	156/232/188	31	269	0	14	38%	9%	20	-1.5
✕Francisco Santana 2008 · A	20	37	38→50	52→55	39	182/227/269	87	246	5	7	28%	5%	38	-3.2	202/247/309	107	265	8	12	26%	5%	55	-2.0	191/230/306	114	248	9	14	26%	5%	46	-1.0
✕Edison Lantigua 2017 · A	20	42	37→45	52→50	41	197/251/275	77	283	3	6	30%	6%	48	-2.5	201/261/293	92	331	6	8	38%	7%	57	-1.8	179/241/275	96	304	8	7	41%	7%	43	-0.8
✕Jose Meza 2023 · A	20	41→40	41→45	48→50	41	200/267/299	99	282	9	10	31%	6%	61	-1.5	203/296/305	102	299	9	8	32%	10%	74	-0.5	186/292/283	98	277	9	10	33%	11%	67	-0.7
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	187/257/301	114	274	12	9	35%	7%	58	-1.7	198/280/293	95	349	7	8	41%	9%	65	-1.2	152/277/229	77	359	3	4	50%	12%	49	-0.5
✕Leandro Pineda 2022 · A	20	35→45	37→45	43→45	46	171/257/239	68	251	4	7	31%	9%	45	-2.7	189/259/292	103	281	8	5	33%	7%	57	-1.8	210/283/339	129	268	13	5	26%	7%	74	-0.4
✕Jesus Valdez 2012 · A	20	41	43→45	51→40	44	206/259/320	115	251	11	7	23%	6%	63	-1.4	206/257/315	109	279	11	4	29%	5%	61	-1.5	195/245/301	106	265	12	3	30%	5%	52	-1.2
✕Luis Valenzuela 2014 · A	20	41	37→45	53→45	46	193/250/268	75	240	4	9	21%	7%	47	-2.6	229/258/316	87	295	5	8	23%	4%	60	-1.6	262/284/362	100	318	5	7	19%	2%	77	-0.1

Career Stats + Projections

Career Comps

Career Path Comps