Trevor Cohen — OGILVIE

Trevor CohenOF Eugene Emeralds

Age 22 L/L 5'11" / 192 lbs A+ HR -15%H -3% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION604 act + 9 ros · stats below = ROS only

showingROS

wRC+†88

AVG/OBP/SLG.250 / .333 / .250

PA9

HR0

K%11

BB%11

BABIP299

ISO82

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$25M ctrl surplus

Tools · ContractCON 55 / POW 35

Toolsscout grade

CONTACT55

scouting grade only

POWER35

scouting grade only

EYE52

scouting grade only

SPEED55

scouting grade only

DEFENSE55

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	+0.8	$2M	+$2M
2031	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2032	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2033	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2034	Arb-2	$4M	+0.4	$0.9M	+$0.0M (cut)
2035	Arb-3	$4M	+0.2	$0.4M	+$0.0M (cut)
Totals		$3M		$9M	+$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)
2025	21	A	San Jose Giants	—	130	107	35	3	1	1	20	15	2	8	2	327	442	402	844	75	370	12	15	386	147	+7	+1	—	—	+3	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	San Jose Giants	—	130	113	33	2	1	1	14	21	2	8	2	292	380	354	734	62	343	16	11	323	105	+1	+1	—	—	+3	0.4
2025	21	A MLE	San Jose Giants	—	130	113	33	2	1	1	14	21	2	8	2	292	380	354	734	62	348	16	11	323	105	—	—	—	—	—	—
2025	21	A RAW	San Jose Giants	—	130	107	35	3	1	1	20	15	2	8	2	327	442	402	844	75	370	12	15	386	105	—	—	—	—	—	—
2025	21	A MLE	San Jose Giants	—	130	113	33	2	1	1	14	21	2	8	2	292	380	354	734	62	343	16	11	323	105	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	San Jose Giants	—	130	113	33	2	1	1	14	21	2	8	2	292	380	354	734	62	343	16	11	323	105	—	—	—	—	—	—
YTD	22	A+ MLE	SF	—	604	558	147	27	4	5	40	98	2	46	12	263	315	353	668	90	309	16	7	292	84	-12	+4	+0	-4	+13	0.2
▸ 2026 season
YTD	22	A+ RAW	SF	—	380	327	97	26	2	3	48	52	2	26	8	297	390	416	806	119	342	14	13	362	84	—	—	—	—	—	—
YTD	22	AA RAW	SF	—	224	209	64	7	2	3	14	21	0	20	4	306	350	402	752	96	328	9	6	336	84	—	—	—	—	—	—
ROS	22	A+ MLE	SF	0%	9	8	2	0	0	0	1	1	0	1	0	250	333	250	583		304	11	11	298	88	-0	+0	+0	-0	+0	0.0
TOT	22	A+ MLE	SF	—	613	566	149	27	4	5	41	99	2	47	12	263	315	352	667	88	309	16	7	292	84	-12	+5	+0	-4	+13	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	SF	35%	581	530	138	25	3	7	43	96	3	22	6	260	319	358	678	98	302	17	7	302	91	-6	+2	+1	-3	+13	0.6
2028	24	MLB MLE	SF	46%	609	555	144	26	3	9	46	101	3	20	5	259	320	366	685	106	302	17	8	310	96	-3	+2	+1	-4	+13	1.0
2029	25	MLB MLE	SF	52%	627	570	150	27	4	11	48	105	4	18	5	263	325	382	707	119	302	17	8	315	99	-1	+2	+1	-4	+14	1.2
2030	26	MLB MLE	SF	54%	638	579	152	27	4	12	50	107	4	17	4	263	325	385	711	123	302	17	8	317	101	+0	+2	+1	-4	+14	1.4
2031	27	MLB MLE	SF	54%	637	578	152	27	4	12	50	108	4	16	4	263	326	386	712	123	301	17	8	317	101	+0	+2	+1	-4	+14	1.4
2032	28	MLB MLE	SF	54%	629	570	149	27	3	12	50	107	4	15	4	261	325	382	708	121	301	17	8	316	100	-0	+1	+1	-4	+14	1.2
2033	29	MLB MLE	SF	53%	619	560	145	26	3	11	50	107	4	13	3	259	324	375	699	116	300	17	8	314	99	-1	+1	-0	-4	+13	1.0
2034	30	MLB MLE	SF	52%	609	552	142	25	3	11	49	107	3	12	3	257	321	373	694	116	299	18	8	311	97	-2	+1	-1	-4	+13	0.8
2035	31	MLB MLE	SF	52%	598	542	138	24	3	10	48	106	3	11	3	255	319	365	684	111	297	18	8	307	94	-4	+1	-2	-4	+13	0.5
2036	32	MLB MLE	SF	52%	587	532	133	23	3	9	47	107	3	10	3	250	314	355	670	105	294	18	8	301	90	-7	+1	-2	-4	+13	0.1
2027	23	MLB CTX	SF	35%	201	183	46	8	1	2	15	33	1	8	2	251	312	339	650	87	296	16	7	293	91	-2	+1	+0	-1	+4	0.2
2028	24	MLB CTX	SF	46%	282	258	66	12	2	4	21	47	1	9	2	256	314	364	679	109	296	17	7	300	96	-1	+1	+1	-2	+6	0.5
2029	25	MLB CTX	SF	52%	324	294	75	13	2	5	25	54	2	9	2	255	318	364	682	109	296	17	8	304	99	-0	+1	+1	-2	+7	0.7
2030	26	MLB CTX	SF	54%	346	314	80	14	2	6	27	58	2	9	2	255	318	369	687	115	296	17	8	306	101	+0	+1	+1	-2	+7	0.8
2031	27	MLB CTX	SF	54%	346	314	80	14	2	6	27	58	2	9	2	255	318	369	687	115	296	17	8	306	101	+0	+1	+1	-2	+7	0.8
2032	28	MLB CTX	SF	54%	341	309	79	14	2	6	27	58	2	8	2	256	320	372	692	117	295	17	8	305	100	-0	+1	+0	-2	+7	0.7
2033	29	MLB CTX	SF	53%	329	298	75	13	2	5	26	57	2	7	2	252	316	359	675	107	295	17	8	303	99	-1	+1	-0	-2	+7	0.5
2034	30	MLB CTX	SF	52%	319	288	73	13	2	5	26	56	2	6	2	253	320	365	684	111	294	18	8	301	97	-1	+0	-0	-2	+7	0.4
2035	31	MLB CTX	SF	52%	311	281	70	12	1	5	25	55	2	6	2	249	315	352	667	103	292	18	8	297	94	-2	+0	-1	-2	+7	0.2
2036	32	MLB CTX	SF	52%	304	275	67	12	1	4	24	55	2	5	1	244	309	338	647	95	289	18	8	291	90	-4	+1	-1	-2	+7	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3103	2814	711	125	17	48	243	531	18	76	19	253	316	360	676	108	294	17	8	301	97	-11	+8	+1	-19	+67	4.7
/ 162G	—	A+C		—	650	589	149	26	4	10	51	111	4	16	4	253	317	362	678	109	294	17	8	301	97	-2	+2	+0	-4	+14	1.0
Career	—	MLE		—	6273	5689	1478	259	34	105	496	1073	37	163	42	260	323	373	696	113	302	17	8	311	97	-24	+15	+3	-37	+133	9.2
/ 162G	—	MLE		—	650	589	154	27	4	11	51	111	4	17	4	261	324	377	701	115	304	17	8	311	97	-3	+2	+0	-4	+14	1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Eric Byrneslast yr '09 career totals — 8 seasons, 3,440 PA	5.2	3,440	106	125	260	321	441	-21	+3	14.9	15.2
/162	664	20	24	-4.1	+0.6	2.9	pk7: 16
#2Gerardo Parralast yr '21 career totals — 12 seasons, 5,290 PA	8.0	5,290	90	97	275	322	403	-51	+11	12.3	12.3
/162	664	11	12	-6.3	+1.4	1.5	pk7: 12
#3Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#4Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#5Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
#6Norichika Aokilast yr '17 career totals — 6 seasons, 3,044 PA	4.6	3,044	33	98	285	350	387	-33	-15	7.4	7.4
/162	664	7	21	-7.1	-3.4	1.6	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	4.7	3,104	53	77	260	319	375	-19	+10	6.2	5.8
/162	664	11	17	-4.0	+2.1	1.3	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
Trevor Cohen (OGILVIE)	22	55	35	55	52	256/313/342	86	304	2	12	16%	7%	88	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chandler Simpson 2023 · A	22	49→59	38→30	56→70	48	228/294/313	86	300	4	17	24%	8%	74	-0.5	270/314/320	50	311	1	59	13%	6%	82	-0.0	303/337/348	46	336	0	63	10%	5%	93	+0.8
●Sal Frelick 2022 · A	22	52→60	40	56→55	48	248/308/348	100	311	7	17	22%	8%	87	+0.4	262/323/367	105	305	7	19	16%	7%	97	+1.1	262/330/356	94	300	7	20	14%	8%	95	+0.8
✕Carlos Mendoza 2022 · A	22	54→55	37→40	56→55	57	248/344/324	76	301	3	18	17%	11%	96	+1.0	237/340/308	71	308	3	14	21%	12%	91	+0.7	242/332/330	88	296	7	18	19%	9%	90	+0.5
✕Dan Robinson 2019 · A	22	52	38→40	51→50	51	243/305/334	91	287	4	10	16%	8%	82	+0.0	213/281/289	76	281	4	7	23%	8%	63	-1.3	193/268/258	64	258	2	5	24%	9%	49	-1.5
●Ender Inciarte 2013 · A	22	52→62	37→45	56→60	48	242/290/325	82	288	2	22	16%	6%	74	-0.5	260/299/342	82	297	5	27	13%	5%	81	-0.1	294/343/394	100	328	7	19	12%	6%	106	+1.8
●Maikel Garcia 2022 · A	22	50→58	39→50	58→60	50	236/300/327	91	298	5	22	21%	8%	79	-0.2	247/302/345	98	313	7	27	22%	7%	84	+0.1	261/321/393	132	295	10	24	15%	8%	100	+1.2
✕Evan Frey 2009 · A	23	55→58	37→40	56→55	50	259/319/341	81	318	3	19	19%	8%	88	+0.5	248/307/317	69	308	2	22	18%	7%	79	-0.2	243/306/306	62	304	1	24	19%	7%	74	-0.5
✕Henry Henry 2009 · A	22	54	38→40	54→60	52	256/322/339	84	288	5	24	13%	7%	91	+0.6	224/279/301	77	264	5	16	16%	6%	65	-1.2	180/221/221	41	197	5	19	11%	4%	22	-0.7
✕Brian Miller 2018 · A	22	55→58	38→40	53→60	46	257/304/339	82	316	4	20	19%	6%	82	+0.0	247/284/318	71	301	2	23	18%	5%	70	-0.8	235/284/317	82	305	4	34	23%	6%	68	-0.7
✕Nicky Lopez 2017 · A	22	47→57	42→40	57→55	51	229/304/337	108	264	10	17	17%	8%	84	+0.1	252/304/335	83	284	5	13	13%	6%	82	-0.0	264/325/345	82	303	4	14	13%	8%	90	+0.4
✕Drew Cumberland 2010 · A	21	52	37→45	56→55	50	245/306/328	83	287	4	17	15%	7%	82	-0.0	264/308/386	122	315	10	18	19%	5%	95	+1.0	307/338/450	143	360	14	25	18%	3%	118	+1.5
✕Cory Harrilchak 2010 · A	22	52→55	38→45	57→50	50	246/300/333	87	283	4	15	15%	7%	80	-0.2	238/289/335	97	292	5	13	19%	6%	76	-0.4	233/286/333	100	287	5	13	19%	6%	73	-0.4
✕Michael Gigliotti 2018 · A	22	52	41→40	51→55	50	249/317/350	101	309	7	17	21%	8%	91	+0.6	233/298/319	86	307	5	20	24%	7%	77	-0.3	191/301/300	110	261	10	24	28%	11%	74	-0.2
✕Noah Mendlinger 2023 · A	22	48→58	37→40	47→45	54	224/319/299	75	279	4	9	20%	10%	81	-0.1	257/340/330	73	305	3	8	15%	8%	95	+1.0	271/353/338	68	317	2	8	14%	8%	100	+1.0
✕Kyle Mottice 2019 · A	23	50	35→30	58→55	54	229/334/291	63	272	2	18	15%	9%	86	+0.3	232/327/292	60	284	2	18	17%	8%	83	+0.1	241/335/285	43	296	0	25	16%	7%	81	-0.0
✕Zach Coppola 2017 · A	23	57→58	35→30	49→60	50	265/324/322	56	319	2	15	17%	7%	86	+0.3	246/306/295	49	314	2	23	20%	8%	74	-0.6	248/309/280	32	317	1	30	20%	8%	69	-0.6
✕Tres Gonzalez 2023 · A	22	52→53	39→30	54→50	47	245/312/334	89	311	5	16	22%	7%	85	+0.2	233/304/302	69	312	5	15	25%	8%	75	-0.5	227/300/281	54	306	4	13	25%	8%	67	-0.7
✕Brent Keys 2013 · A	23	57→66	38→30	52→50	49	268/317/353	85	304	5	14	14%	6%	91	+0.6	263/325/322	59	297	3	11	11%	8%	87	+0.4	274/343/314	40	305	1	10	10%	9%	89	+0.4
✕Yoyner Fajardo 2021 · A	22	50→58	36→45	55→60	47	233/290/305	72	281	3	17	18%	6%	70	-0.8	239/296/322	83	313	5	24	24%	7%	76	-0.4	260/317/349	89	329	5	34	21%	7%	86	+0.2
●Ezequiel Carrera 2009 · A	22	50→60	39→45	57→60	45	235/296/328	93	301	6	20	23%	7%	78	-0.3	261/321/335	74	329	3	25	20%	7%	88	+0.4	256/323/358	102	320	11	15	22%	8%	93	+0.5

Career Stats + Projections

Career Comps

Career Path Comps