Carter Dorighi — OGILVIE

Carter Dorighi3B Everett AquaSox

Age 23 L/R 6'0" / 190 lbs A+ K +7%HR -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION390 act + 9 ros · stats below = ROS only

showingROS

wRC+†50

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

PA9

HR0

K%22

BB%11

BABIP283

ISO57

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 50 / POW 20

Toolsscout grade

CONTACT50

scouting grade only

POWER20

scouting grade only

EYE40

scouting grade only

SPEED55

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Arb-1	$0.2M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-3M	+$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)
2024	21	A	Modesto Nuts	—	63	56	11	1	0	1	5	13	0	1	0	196	262	268	530	71	227	21	8	238	47	-4	+0	—	—	+1	-0.2
2025	22	A+	Everett AquaSox	—	154	141	37	9	3	0	10	38	1	5	0	262	316	369	685	106	352	25	6	303	92	-2	+1	—	—	+3	0.3
2025	22	A	Modesto Nuts	—	348	304	91	21	0	0	34	68	8	19	4	299	384	368	753	69	382	20	10	345	119	+8	+2	—	—	+8	1.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	Modesto Nuts	—	63	57	11	1	0	1	4	18	0	1	0	193	246	263	509	70	219	29	6	213	30	-5	+0	—	—	+1	-0.4
2025	22	A+ MLE	Everett AquaSox	—	154	145	29	7	2	0	6	56	1	5	0	200	237	276	513	76	310	36	4	225	38	-11	+1	—	—	+3	-0.7
2025	22	A MLE	Modesto Nuts	—	348	314	83	17	0	0	24	87	8	19	4	264	332	318	651	54	355	25	7	289	82	-8	+2	—	—	+8	0.2
2024	21	A MLE	Modesto Nuts	—	63	57	11	1	0	1	4	18	0	1	0	193	246	263	509	70	250	29	6	213	30	—	—	—	—	—	—
2024	21	A RAW	Modesto Nuts	—	63	56	11	1	0	1	5	13	0	1	0	196	262	268	530	71	227	21	8	238	30	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	502	458	111	23	2	0	31	143	9	24	4	242	303	301	605	59	348	28	6	269	68	—	—	—	—	—	—
2025	22	A RAW	2 teams	—	502	445	128	30	3	0	44	106	9	24	4	288	363	369	732	81	373	21	9	332	68	—	—	—	—	—	—
2024	21	A MLE	Modesto Nuts	—	63	59	11	1	0	1	4	18	0	1	0	186	246	254	500	68	219	29	6	213	30	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	502	457	111	23	2	0	31	143	9	24	4	243	303	302	605	59	341	28	6	269	68	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A MLE	Modesto Nuts	—	63	59	11	1	0	1	4	18	0	1	0	186	246	254	500	68	219	29	6	213	30	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	502	457	111	23	2	0	31	143	9	24	4	243	303	302	605	59	341	28	6	269	68	—	—	—	—	—	—
YTD	23	A+ MLE	SEA	—	390	361	73	11	0	2	24	106	3	21	2	202	258	249	507	47	280	27	6	228	40	-28	+3	+0	+1	+8	-1.5
▸ 2026 season
YTD	23	A+ RAW	SEA	—	390	347	86	14	0	3	38	76	3	21	2	248	327	314	641	66	309	19	10	296	40	—	—	—	—	—	—
ROS	23	A+ MLE	SEA	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		285	22	11	242	50	-1	+0	+0	+0	+0	-0.0
TOT	23	A+ MLE	SEA	—	399	369	74	11	0	2	25	108	3	21	2	201	257	247	504	46	277	27	6	228	41	-28	+3	+0	+1	+9	-1.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	SEA	30%	475	437	94	16	1	5	31	123	4	13	2	215	273	291	564	76	287	26	7	259	61	-22	+2	+0	+2	+10	-0.8
2028	25	MLB MLE	SEA	44%	502	458	101	17	1	7	34	128	5	13	2	221	282	308	590	87	288	25	7	269	68	-19	+2	+0	+2	+11	-0.5
2029	26	MLB MLE	SEA	51%	517	471	105	18	1	8	36	131	5	13	2	223	285	316	602	93	288	25	7	274	72	-17	+2	+0	+2	+11	-0.3
2030	27	MLB MLE	SEA	52%	522	475	106	18	1	9	37	132	5	13	2	223	286	322	608	99	288	25	7	276	73	-17	+2	+0	+2	+11	-0.2
2031	28	MLB MLE	SEA	53%	521	474	106	18	1	9	37	132	5	12	1	224	287	323	610	99	288	25	7	275	72	-17	+2	-1	+2	+11	-0.3
2032	29	MLB MLE	SEA	57%	513	466	104	18	1	8	37	131	5	11	1	223	287	318	605	94	287	26	7	273	71	-18	+2	-1	+2	+11	-0.4
2033	30	MLB MLE	SEA	55%	503	457	101	17	1	8	36	130	5	10	1	221	285	315	600	94	286	26	7	270	69	-18	+2	-2	+2	+11	-0.6
2027	24	MLB CTX	SEA	30%	144	133	28	5	0	1	9	37	1	4	0	211	266	271	536	60	285	26	6	250	61	-7	+1	+0	+1	+3	-0.2
2028	25	MLB CTX	SEA	44%	222	203	44	8	0	3	15	56	2	6	1	217	277	300	578	84	286	25	7	260	68	-8	+1	+0	+1	+5	-0.2
2029	26	MLB CTX	SEA	51%	262	240	53	9	1	4	18	66	2	7	1	221	281	317	597	96	286	25	7	265	72	-9	+1	+0	+1	+6	-0.1
2030	27	MLB CTX	SEA	52%	274	250	55	9	1	4	19	69	3	7	1	220	283	312	595	92	286	25	7	266	73	-9	+1	+0	+1	+6	-0.1
2031	28	MLB CTX	SEA	53%	278	253	56	10	1	4	20	71	3	6	1	221	286	316	602	95	286	26	7	266	72	-9	+1	-0	+1	+6	-0.2
2032	29	MLB CTX	SEA	57%	292	266	59	10	1	5	21	75	3	6	1	222	286	323	610	102	285	26	7	264	71	-10	+1	-1	+1	+6	-0.3
2033	30	MLB CTX	SEA	55%	275	251	54	9	0	4	20	71	2	5	1	215	278	299	577	84	284	26	7	262	69	-10	+1	-1	+1	+6	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1747	1596	349	60	4	25	122	445	16	41	6	219	281	308	589	90	286	25	7	263	69	-62	+6	-2	+6	+38	-1.5
/ 162G	—	A+C		—	650	594	129	22	1	9	45	166	6	15	2	217	279	303	582	86	284	26	7	263	69	-23	+2	-1	+2	+14	-0.6
Career	—	MLE		—	4127	3761	840	146	9	55	284	1070	43	110	15	223	285	311	596	87	295	26	7	270	69	-129	+13	-4	+13	+77	-3.2
/ 162G	—	MLE		—	650	592	132	23	1	9	45	169	7	17	2	223	286	311	597	88	294	26	7	270	69	-24	+2	-1	+2	+14	-0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Darwin Barneylast yr '17 career totals — 7 seasons, 2,729 PA	4.1	2,729	29	29	246	294	339	+10	+46	6.5	6.5
/162	664	7	7	+2.5	+11.2	1.6	pk7: 7
#3Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#4Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#5Everth Cabreralast yr '15 career totals — 6 seasons, 2,059 PA	3.1	2,059	12	136	247	316	328	+22	-1	5.1	5.1
/162	664	4	44	+7.1	-0.5	1.6	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.6	1,749	27	41	223	282	317	+19	+9	1.1	1.1
/162	664	10	16	+7.1	+3.4	0.4	pk7: 1
#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
Carter Dorighi (OGILVIE)	23	50	20	55	40	207/263/258	51	285	1	13	27%	6%	50	-1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Danny Woodrow 2018 · A	23	48→58	34→30	51→55	44	225/277/282	57	300	1	17	24%	7%	59	-1.6	243/293/307	64	323	3	21	24%	6%	71	-0.8	243/290/300	57	326	2	23	25%	6%	66	-0.6
✕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
✕Julio Gonzalez 2018 · A	23	48	35→30	55→50	50	223/288/289	66	286	2	12	22%	8%	66	-1.1	206/269/276	70	268	2	8	22%	8%	56	-1.9	173/238/228	55	217	0	5	19%	8%	31	-1.0
✕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
✕James Rapoport 2008 · A	23	43→53	34→40	53→55	42	201/250/254	53	275	2	18	27%	6%	43	-2.8	232/285/300	68	291	4	16	20%	6%	67	-1.1	246/303/314	68	296	4	13	17%	7%	74	-0.5
✕Ian Miller 2015 · A	23	49→59	36→40	56→60	42	231/278/298	67	309	3	20	25%	6%	63	-1.3	246/289/307	61	310	1	34	20%	5%	69	-0.9	257/300/315	58	320	1	39	19%	5%	72	-0.6
✕Chris Bisson 2013 · A	23	50→54	36→30	54→60	42	235/280/298	63	317	3	23	26%	6%	64	-1.3	222/271/301	79	314	5	17	29%	6%	62	-1.4	170/222/235	64	267	0	9	34%	5%	28	-0.7
✕Jovan Pickett 2011 · A	23	45	34→30	54→55	39	212/262/264	51	290	2	19	26%	5%	50	-2.3	225/284/285	60	321	2	15	29%	5%	63	-1.3	238/299/275	37	343	0	22	28%	4%	63	-0.5
✕Emmanuel Garcia 2009 · AA	23	48→49	36→30	51→55	45	224/277/284	60	299	3	19	25%	7%	60	-1.6	216/261/280	64	299	4	19	27%	5%	53	-2.1	211/254/265	54	294	3	21	28%	5%	44	-1.7
✕Jordan Cowan 2018 · AA	23	49→51	36→30	48→50	44	232/282/296	64	299	4	11	23%	6%	65	-1.2	235/288/291	56	304	3	12	22%	7%	66	-1.1	237/298/294	57	306	4	17	22%	7%	68	-0.5
✕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
✕Greg Miclat 2010 · A	23	43→53	34→30	52→60	44	203/252/255	51	267	2	16	24%	6%	44	-2.8	242/297/308	66	320	3	23	23%	7%	74	-0.6	258/317/325	67	341	2	28	23%	7%	81	-0.0
✕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
✕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
✕Patrick Biondi 2015 · A	24	45→44	36→30	50→60	45	211/269/279	67	280	3	15	25%	7%	57	-1.8	231/285/297	66	308	3	25	24%	7%	66	-1.1	238/295/292	55	316	2	32	24%	7%	66	-0.7
✕Ethan Chapman 2013 · A	23	49→47	36→30	56→55	46	230/279/305	75	290	2	17	21%	6%	65	-1.2	219/271/266	47	293	2	17	24%	7%	54	-2.0	222/275/263	41	301	2	23	25%	6%	53	-1.4
✕Alvaro Rondon 2015 · A	24	45	36→30	53→55	41	214/255/286	72	286	3	10	26%	5%	52	-2.2	225/270/293	68	293	2	16	22%	6%	59	-1.6	244/285/300	56	307	0	27	19%	5%	65	-0.4
✕Cole Peterson 2019 · A	23	47→49	35→30	52→55	42	222/258/283	61	276	2	15	20%	4%	52	-2.2	214/253/277	63	262	2	18	18%	5%	49	-2.4	207/245/263	56	250	1	21	17%	4%	41	-1.6
✕Jeremias Pineda 2014 · A	23	48→57	36→30	53→65	36	222/272/287	65	337	4	19	34%	5%	59	-1.7	217/270/270	53	328	3	32	32%	6%	55	-2.0	241/301/288	47	366	1	40	32%	7%	66	-0.7
✕Kyle Barrett 2017 · A	23	50→52	36→30	51→50	40	234/275/296	62	309	3	13	25%	5%	61	-1.5	229/275/296	67	313	2	14	26%	5%	61	-1.5	232/278/291	60	318	0	16	25%	5%	59	-0.8

Career Stats + Projections

Career Comps

Career Path Comps