Dustin Crenshaw — OGILVIE

Dustin CrenshawSS Inland Empire 66ers

Age 24 L/R 6'2" / 190 lbs A K +7%HR -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION309 act + 9 ros · stats below = ROS only

showingROS

wRC+†63

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

PA9

HR0

K%33

BB%11

BABIP286

ISO95

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M ctrl surplus

Tools · ContractCON 55 / POW 35

Toolsscout grade

CONTACT55

scouting grade only

POWER35

scouting grade only

EYE45

scouting grade only

SPEED45

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	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
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		$0.0M	+$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)
2025	23	A	Modesto Nuts	—	101	85	15	2	0	0	15	20	0	2	1	176	300	200	500	24	231	20	15	246	52	-6	+0	—	—	+2	-0.4
2025	23	ROK	ACL Mariners	—	228	196	64	9	3	5	29	33	1	8	4	327	416	480	896	153	369	14	13	396	154	+15	+0	—	—	+5	2.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	23	A MLE	Modesto Nuts	—	101	90	14	2	0	0	10	26	0	2	1	156	240	178	418	22	216	26	10	199	21	-10	+0	—	—	+2	-0.7
2025	23	ROK MLE	ACL Mariners	—	228	207	53	6	2	4	18	48	1	8	4	256	319	362	681	106	310	21	8	306	93	-2	+0	—	—	+5	0.3
2025	23	ROK MLE	2 teams	—	329	297	67	8	2	4	28	73	1	10	5	226	294	306	601	81	284	22	9	273	71	—	—	—	—	—	—
2025	23	ROK RAW	2 teams	—	329	281	79	11	3	5	44	53	1	10	5	281	380	395	775	114	329	16	13	350	71	—	—	—	—	—	—
2025	23	ROK MLE	2 teams	—	329	297	67	8	2	4	28	73	1	10	5	226	294	306	601	81	281	22	9	273	71	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	23	ROK MLE	2 teams	—	329	297	67	8	2	4	28	73	1	10	5	226	294	306	601	81	281	22	9	273	71	—	—	—	—	—	—
YTD	24	A MLE	SEA	—	309	276	53	9	2	3	24	100	5	13	5	192	269	272	541	80	284	32	8	241	49	-19	+1	+0	+3	+7	-0.8
▸ 2026 season
YTD	24	A RAW	SEA	—	309	266	62	11	3	3	34	75	5	13	5	233	331	331	662	98	309	24	11	302	49	—	—	—	—	—	—
ROS	24	A MLE	SEA	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		288	33	11	262	63	-0	+0	+0	+0	+0	-0.0
TOT	24	A MLE	SEA	—	318	284	54	9	2	3	25	103	5	13	5	190	268	268	535	77	282	32	8	242	50	-19	+1	+0	+3	+7	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	SEA	30%	316	285	61	11	2	5	25	91	3	6	2	214	284	319	604	105	290	29	8	271	69	-11	+0	+0	+3	+7	-0.1
2028	26	MLB MLE	SEA	44%	370	333	71	13	2	6	30	105	4	7	2	213	286	318	604	105	290	28	8	277	74	-12	+1	+0	+4	+8	0.1
2029	27	MLB MLE	SEA	49%	395	355	76	14	2	7	33	111	4	7	2	214	288	324	612	110	290	28	8	279	75	-12	+1	+0	+4	+9	0.2
2030	28	MLB MLE	SEA	51%	409	368	78	14	2	7	34	115	4	7	2	212	286	318	604	106	290	28	8	279	75	-12	+1	-1	+4	+9	0.1
2031	29	MLB MLE	SEA	51%	410	369	78	14	2	7	34	116	4	6	2	211	285	317	602	106	289	28	8	278	74	-13	+0	-1	+4	+9	-0.0
2027	25	MLB CTX	SEA	30%	95	86	18	3	1	1	8	27	1	2	1	209	284	302	587	93	288	28	8	261	69	-3	+0	+0	+1	+2	-0.0
2028	26	MLB CTX	SEA	44%	163	147	32	6	1	3	13	46	2	3	1	218	290	333	623	116	288	28	8	266	74	-5	+0	+0	+2	+4	0.0
2029	27	MLB CTX	SEA	49%	193	173	37	7	1	3	16	54	2	3	1	214	288	318	606	104	288	28	8	269	75	-6	+0	+0	+2	+4	0.1
2030	28	MLB CTX	SEA	51%	211	189	40	7	1	4	18	59	2	3	1	212	287	323	610	111	287	28	9	269	75	-6	+0	-0	+2	+5	0.0
2031	29	MLB CTX	SEA	51%	211	189	40	7	1	4	18	60	2	3	1	212	287	323	610	111	286	28	9	267	74	-7	+0	-1	+2	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	873	784	167	30	5	15	73	246	9	14	5	213	288	321	609	108	288	28	8	267	73	-27	+1	-1	+9	+19	0.1
/ 162G	—	A+C		—	650	584	124	22	4	11	54	183	7	10	4	212	287	320	607	108	288	28	8	267	73	-20	+1	-1	+7	+14	0.1
Career	—	MLE		—	2238	2015	432	74	12	36	185	614	20	43	15	214	287	317	604	102	288	27	8	276	73	-60	+3	-2	+20	+41	0.2
/ 162G	—	MLE		—	650	585	124	21	3	10	54	178	6	12	4	212	285	309	595	97	285	27	8	276	73	-20	+1	-1	+7	+14	0.1

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 3 projected seasons	1.7	1,159	18	20	216	286	322	+6	+3	0.0	0.1
/162	664	11	11	+3.5	+1.7	0.0	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
Dustin Crenshaw (OGILVIE)	24	55	35	45	45	203/276/291	88	288	3	8	30%	8%	63	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ford Proctor 2021 · A	24	48→49	38→40	44→45	48	226/291/308	82	298	5	8	25%	8%	72	-0.7	208/295/318	110	303	12	6	32%	10%	77	-0.3	195/291/297	102	282	13	4	33%	11%	69	-0.6
✕Zach Ashford 2021 · A	24	47	40	42→50	46	220/289/316	96	298	6	7	27%	8%	73	-0.6	223/284/304	81	304	5	9	26%	6%	68	-1.0	223/284/302	78	303	5	10	26%	6%	64	-0.7
✕Forrestt Allday 2015 · A	24	49→48	37→30	44→50	45	227/298/306	79	312	3	8	26%	7%	74	-0.5	232/308/292	60	298	3	10	21%	8%	75	-0.5	239/320/278	39	297	2	12	18%	9%	75	-0.2
✕John Mora 2017 · A	24	48→50	40	49→50	50	226/295/327	101	279	6	9	20%	8%	77	-0.3	216/271/304	88	292	5	9	26%	6%	63	-1.4	212/264/295	83	291	4	10	27%	6%	56	-1.5
✕Christian Donahue 2019 · A	24	48	39→40	45→50	42	228/280/317	90	313	7	5	28%	7%	70	-0.9	198/247/275	77	273	5	10	28%	6%	47	-2.5	166/208/228	62	222	3	11	26%	5%	19	-2.8
✕Mitchell Tolman 2018 · A	24	46→47	41→45	45→50	50	221/293/316	94	273	9	9	22%	8%	74	-0.5	212/284/301	89	300	7	10	29%	8%	68	-1.0	217/287/331	114	285	10	8	26%	7%	73	-0.4
✕Levi Hyams 2014 · A	24	45→47	39→40	45	44	218/273/310	93	288	6	11	26%	7%	65	-1.2	215/271/307	92	294	5	6	27%	7%	63	-1.3	210/265/302	91	287	6	3	27%	6%	58	-1.0
✕Wang-Wei Lin 2012 · A	24	50→53	36→30	44→50	48	234/302/297	63	302	4	9	23%	8%	73	-0.6	224/298/306	82	291	5	9	23%	8%	74	-0.5	212/296/290	78	274	4	9	22%	8%	68	-0.7
✕Shayne Fontana 2021 · A	24	48	40→45	52→55	45	226/293/329	103	298	6	13	25%	7%	78	-0.3	205/288/312	107	296	10	10	31%	9%	72	-0.7	217/300/310	94	291	10	19	27%	8%	75	-0.3
✕Jax Biggers 2021 · A	24	47→49	38→40	49→50	49	224/286/299	76	273	5	12	19%	8%	68	-1.0	214/267/304	90	269	7	14	22%	6%	61	-1.5	216/291/309	93	283	7	13	24%	9%	70	-0.5
✕Mike McQuillan 2014 · A	24	51	38→40	51→50	47	235/302/318	83	325	4	14	27%	9%	78	-0.3	204/287/307	103	305	9	9	33%	9%	71	-0.8	156/263/258	102	237	10	5	35%	11%	50	-1.2
✕James Ramsay 2016 · A	24	50→56	41→40	50	45	237/293/343	105	306	7	14	24%	7%	80	-0.2	212/273/305	93	267	7	9	22%	7%	65	-1.2	172/243/247	74	212	4	5	20%	8%	37	-2.1
✕Kobe Kato 2023 · A	24	47	42→40	46→55	54	224/310/326	102	281	9	10	22%	10%	84	+0.1	215/295/302	87	300	5	22	27%	9%	72	-0.7	198/286/279	81	284	5	29	29%	10%	61	-0.5
✕Scott Wingo 2013 · A	24	46→45	38→40	48→50	50	213/305/296	83	285	5	11	25%	9%	76	-0.4	207/301/294	87	292	6	10	28%	9%	74	-0.6	187/297/271	84	273	6	9	30%	10%	65	-0.8
✕Nick Shaw 2013 · A	24	48→57	37→40	45	51	221/298/297	76	286	3	7	22%	9%	72	-0.7	226/299/282	56	287	2	7	20%	9%	69	-0.9	227/306/274	46	298	0	7	21%	9%	68	-0.5
✕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
✕Braiden Ward 2022 · A	23	49→47	37→40	47→70	47	224/312/299	75	314	4	10	28%	8%	79	-0.2	215/306/296	81	310	5	44	30%	6%	76	-0.4	224/314/320	95	301	5	64	25%	6%	81	-0.1
✕Michael Turconi 2023 · A	24	50→45	40→45	45→50	51	236/316/326	89	294	7	9	21%	9%	86	+0.3	208/289/300	92	308	6	8	31%	9%	70	-0.9	190/277/273	83	292	5	7	33%	10%	58	-0.9
✕Gosuke Katoh 2019 · AA	24	46→52	40→45	46→50	45	215/281/311	96	309	6	11	31%	8%	69	-0.9	223/287/322	99	318	8	12	30%	8%	74	-0.6	215/279/318	103	296	9	11	29%	8%	66	-0.7
✕Jonathan Wyatt 2009 · A	24	46	41→40	48→50	48	226/287/323	98	277	9	12	22%	8%	74	-0.6	216/266/287	71	276	5	10	22%	6%	57	-1.8	208/251/248	40	266	2	8	22%	6%	39	-2.3

Career Stats + Projections

Career Comps

Career Path Comps