Dereck Salom — OGILVIE

Dereck SalomSS Stockton Ports

Age 25 R/R 5'10" / 135 lbs A HR -5% Svc 0.0 · Ctrl thru 2036

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 144 proj PA

wRC+†75

AVG/OBP/SLG.212 / .304 / .294

PA12

HR0

K%22

BB%11

ISO83

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus

Tools · ContractCON 50 / POW 32

Toolsscout grade

CONTACT50

scouting grade only

POWER32

scouting grade only

EYE59

scouting grade only

SPEED47

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	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	—	—	—
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		$0.3M	+$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)
2018	17	ROK	DSL Athletics	—	167	140	35	2	0	0	20	20	2	9	6	250	352	264	616	14	285	12	12	287	80	-4	-1	—	—	+4	-0.1
2019	18	ROK	DSL Athletics	—	154	126	25	5	0	0	23	25	1	5	2	198	327	238	565	40	245	16	15	268	68	-6	+0	—	—	+3	-0.2
2021	20	ROK	ACL Athletics	—	45	37	10	4	0	0	7	12	0	2	0	270	386	378	765	108	400	27	16	343	118	+1	+0	—	—	+1	0.2
2022	21	A	Stockton Ports	—	97	84	19	3	0	0	9	13	2	1	2	226	316	262	578	36	264	13	9	269	68	-4	-1	—	—	+2	-0.2
2022	21	ROK	ACL Athletics	—	110	95	21	1	2	0	10	17	1	1	2	221	302	274	576	53	266	15	9	259	62	-5	-1	—	—	+2	-0.3
2023	22	A	Stockton Ports	—	312	255	54	9	1	1	48	60	3	1	1	212	343	267	610	55	265	19	15	288	81	-7	-0	—	—	+7	-0.0
2024	23	A+	Lansing Lugnuts	—	78	67	16	2	0	1	11	17	0	1	0	239	346	313	660	75	306	22	14	309	95	-0	+0	—	—	+2	0.1
2024	23	A	Stockton Ports	—	305	246	54	8	0	2	49	46	5	7	1	220	360	276	636	57	256	15	16	302	91	-3	+1	—	—	+7	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	17	ROK MLE	DSL Athletics	—	167	148	31	2	0	0	12	29	2	9	6	209	278	223	501	14	244	17	7	228	40	-12	-1	—	—	+4	-0.9
2019	18	ROK MLE	DSL Athletics	—	154	135	19	3	0	0	14	36	1	5	2	141	227	163	390	22	186	23	9	187	13	-16	+0	—	—	+3	-1.3
2021	20	ROK MLE	ACL Athletics	—	45	40	8	3	0	0	4	17	0	2	0	200	273	275	548	75	312	38	9	231	42	-3	+0	—	—	+1	-0.2
2022	21	A MLE	Stockton Ports	—	97	87	18	2	0	0	6	17	2	1	2	207	274	230	504	23	252	18	6	236	46	-6	-1	—	—	+2	-0.5
2022	21	ROK MLE	ACL Athletics	—	110	99	17	1	1	0	6	25	1	1	2	172	226	202	428	30	210	23	5	190	15	-11	-1	—	—	+2	-1.0
2023	22	A MLE	Stockton Ports	—	312	269	49	7	1	1	34	81	3	1	1	182	281	227	508	45	238	26	11	236	46	-20	-0	—	—	+7	-1.4
2024	23	A+ MLE	Lansing Lugnuts	—	78	70	14	2	0	1	8	24	0	1	0	200	282	271	553	71	270	31	10	240	49	-5	+0	—	—	+2	-0.3
2024	23	A MLE	Stockton Ports	—	305	262	51	7	0	2	33	61	5	7	1	195	297	244	541	50	231	20	11	249	55	-16	+1	—	—	+7	-0.9
2018	17	ROK MLE	DSL Athletics	—	167	148	31	2	0	0	12	29	2	9	6	209	278	223	501	14	254	17	7	228	40	—	—	—	—	—	—
2018	17	ROK RAW	DSL Athletics	—	167	140	35	2	0	0	20	20	2	9	6	250	352	264	616	14	285	12	12	287	40	—	—	—	—	—	—
2019	18	ROK MLE	DSL Athletics	—	154	135	19	3	0	0	14	36	1	5	2	141	227	163	390	22	190	23	9	187	13	—	—	—	—	—	—
2019	18	ROK RAW	DSL Athletics	—	154	126	25	5	0	0	23	25	1	5	2	198	327	238	565	40	245	16	15	268	13	—	—	—	—	—	—
2021	20	ROK MLE	ACL Athletics	—	45	40	8	3	0	0	4	17	0	2	0	200	273	275	548	75	348	38	9	231	42	—	—	—	—	—	—
2021	20	ROK RAW	ACL Athletics	—	45	37	10	4	0	0	7	12	0	2	0	270	386	378	765	108	400	27	16	343	42	—	—	—	—	—	—
2022	21	ROK MLE	2 teams	—	207	186	35	3	1	0	12	41	3	2	4	188	249	215	464	27	238	20	6	212	29	—	—	—	—	—	—
2022	21	ROK RAW	2 teams	—	207	179	40	4	2	0	19	30	3	2	4	223	308	268	577	45	265	14	9	264	29	—	—	—	—	—	—
2023	22	A MLE	Stockton Ports	—	312	269	49	7	1	1	34	81	3	1	1	182	281	227	508	45	249	26	11	236	46	—	—	—	—	—	—
2023	22	A RAW	Stockton Ports	—	312	255	54	9	1	1	48	60	3	1	1	212	343	267	610	55	265	19	15	288	46	—	—	—	—	—	—
2024	23	A MLE	2 teams	—	383	332	64	9	0	3	41	84	5	8	1	193	291	247	538	54	244	22	11	247	53	—	—	—	—	—	—
2024	23	A RAW	2 teams	—	383	313	70	10	0	3	60	63	5	8	1	224	357	284	641	61	266	16	16	303	53	—	—	—	—	—	—
2018	17	ROK MLE	DSL Athletics	—	167	151	31	2	0	0	12	29	2	9	6	205	278	219	496	13	244	17	7	228	40	—	—	—	—	—	—
2019	18	ROK MLE	DSL Athletics	—	154	138	19	3	0	0	14	36	1	5	2	138	227	159	386	22	186	23	9	187	13	—	—	—	—	—	—
2021	20	ROK MLE	ACL Athletics	—	45	41	8	3	0	0	4	17	0	2	0	195	273	268	541	73	312	38	9	231	42	—	—	—	—	—	—
2022	21	ROK MLE	2 teams	—	207	190	35	3	1	0	12	41	3	2	4	184	249	211	459	26	230	20	6	212	29	—	—	—	—	—	—
2023	22	A MLE	Stockton Ports	—	312	272	49	7	1	1	34	81	3	1	1	180	281	224	505	44	238	26	11	236	46	—	—	—	—	—	—
2024	23	A MLE	2 teams	—	383	334	64	9	0	3	41	84	5	8	1	192	291	246	537	54	239	22	11	247	53	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	22	A MLE	Stockton Ports	—	312	272	49	7	1	1	34	81	3	1	1	180	281	224	505	44	238	26	11	236	46	—	—	—	—	—	—
2024	23	A MLE	2 teams	—	383	334	64	9	0	3	41	84	5	8	1	192	291	246	537	54	239	22	11	247	53	—	—	—	—	—	—
▸ 2026 season
2026	25	MLB MLE	OAK	0%	12	11	2	0	0	0	1	3	0	0	0	182	250	182	432		274	25	8	279	75	-0	+0	+0	+0	+0	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	OAK	30%	158	138	31	6	1	2	17	35	2	3	1	225	318	326	645	101	276	22	11	287	81	-4	+0	+0	+2	+3	0.2
2028	27	MLB MLE	OAK	42%	251	220	49	10	1	4	26	56	3	4	1	223	313	332	645	109	277	22	10	290	83	-5	+0	+0	+3	+5	0.3
2029	28	MLB MLE	OAK	48%	311	272	61	12	1	5	33	70	3	5	1	224	315	331	646	107	278	23	11	291	83	-6	+1	-1	+3	+7	0.4
2030	29	MLB MLE	OAK	49%	344	301	66	13	1	5	36	78	4	5	1	219	311	319	630	100	278	23	10	290	83	-7	+1	-1	+4	+7	0.3
2031	30	MLB MLE	OAK	50%	362	317	69	14	1	5	38	83	4	5	1	218	309	315	625	98	277	23	10	288	81	-8	+1	-2	+4	+8	0.2
2032	31	MLB MLE	OAK	51%	364	319	68	13	1	5	38	85	4	5	1	213	305	307	612	94	275	23	10	284	78	-9	+1	-3	+4	+8	0.0
2027	26	MLB CTX	OAK	30%	48	43	10	2	0	1	5	11	0	1	0	233	312	349	661	116	282	23	10	283	81	-1	+0	+0	+1	+1	0.1
2028	27	MLB CTX	OAK	42%	104	91	19	4	0	1	11	23	1	2	0	209	301	286	587	77	283	22	11	286	83	-2	+0	+0	+1	+2	0.2
2029	28	MLB CTX	OAK	48%	148	130	29	6	1	2	15	33	2	2	1	223	313	331	644	108	283	22	10	287	83	-3	+0	-0	+2	+3	0.2
2030	29	MLB CTX	OAK	49%	169	147	33	7	1	2	18	38	2	3	1	224	317	327	644	102	283	22	11	286	83	-4	+0	-1	+2	+4	0.2
2031	30	MLB CTX	OAK	50%	182	159	36	7	1	3	19	42	2	3	1	226	317	340	656	113	282	23	10	284	81	-4	+0	-1	+2	+4	0.1
2032	31	MLB CTX	OAK	51%	185	162	35	7	1	2	19	43	2	2	1	216	306	309	615	93	280	23	10	280	78	-5	+0	-1	+2	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	836	732	162	33	4	11	87	190	9	13	4	221	312	322	634	101	282	23	10	284	64	-19	+1	-3	+9	+18	0.6
/ 162G	—	A+C		—	650	569	127	26	3	9	68	148	7	10	3	223	314	327	641	104	284	23	10	284	64	-15	+1	-3	+7	+14	0.5
Career	—	MLE		—	3070	2688	552	95	8	30	306	698	34	54	20	205	295	280	575	75	263	23	10	263	64	-40	+3	-7	+19	+39	1.4
/ 162G	—	MLE		—	650	569	117	20	2	6	65	148	7	11	4	206	295	279	574	74	264	23	10	263	64	-15	+1	-3	+7	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jack Hannahanlast yr '14 career totals — 7 seasons, 1,867 PA	2.8	1,867	29	6	232	315	348	+6	+29	6.2	6.2
/162	664	10	2	+2.0	+10.4	2.2	pk7: 6
#2Alfredo Amezagalast yr '11 career totals — 7 seasons, 1,550 PA	2.3	1,550	12	47	245	306	330	+7	+41	5.3	5.3
/162	664	5	20	+3.1	+17.4	2.3	pk7: 5
#3Adam 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
#4Tony Gwynn Jr.last yr '14 career totals — 7 seasons, 1,749 PA	2.6	1,749	7	77	239	310	313	+1	+35	4.1	4.1
/162	664	3	29	+0.5	+13.1	1.6	pk7: 4
#5Guillermo 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
#6Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.5	979	13	15	219	306	318	+10	+12	1.5	1.5
/162	664	9	10	+7.1	+8.1	1.0	pk7: 2

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
Dereck Salom (OGILVIE)	25	50	32	47	59	212/304/294	82	274	1	2	22%	11%	75	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tyler Smith 2016 · AA	25	51→54	39→40	47→50	50	242/309/331	89	305	6	9	22%	8%	84	+0.1	218/271/301	83	281	6	7	24%	6%	62	-1.4	202/251/279	77	261	7	5	24%	5%	48	-1.4
✕Jon Schemmel 2008 · AAA	25	51	36→30	44→45	52	240/324/306	67	289	4	6	17%	8%	84	+0.2	221/294/303	82	286	6	7	23%	8%	72	-0.7	185/262/241	56	247	4	3	25%	9%	42	-0.7
✕Jamie Ritchie 2018 · AA	25	50→53	39→40	47→45	53	235/320/318	83	306	6	6	23%	10%	86	+0.3	235/312/332	97	309	7	6	24%	9%	85	+0.2	247/327/340	92	319	6	3	22%	9%	90	+0.3
✕Kyle Haines 2008 · A	26	49→55	38→30	45	54	231/310/305	74	277	6	9	18%	9%	78	-0.3	232/303/299	67	289	3	6	19%	9%	74	-0.6	248/322/308	60	305	0	1	17%	9%	80	-0.1
✕Matt Cline 2011 · A	25	54→57	35→30	43→50	50	248/324/313	65	296	2	11	16%	7%	86	+0.3	215/283/283	68	267	3	7	19%	7%	63	-1.3	189/256/245	56	235	3	3	20%	7%	42	-1.1
✕Chad Zurcher 2013 · A	24	48	36→30	47→45	50	222/288/291	69	266	3	9	17%	7%	66	-1.1	228/309/290	62	295	2	7	21%	10%	75	-0.5	238/336/271	32	303	0	6	19%	12%	78	-0.1
✕Carlos Alonso 2013 · A	25	52	38→40	45→40	49	245/313/319	74	289	6	4	17%	7%	82	+0.0	239/309/322	83	290	5	5	18%	7%	82	-0.0	233/305/315	82	285	5	4	18%	7%	75	-0.3
✕Roy Morales 2021 · A	26	47	38→30	51→45	46	224/287/306	82	283	5	10	22%	7%	70	-0.9	262/323/334	72	312	5	8	16%	7%	89	+0.5	282/345/343	61	332	4	7	15%	7%	96	+0.5
✕Michael Garciaparra 2008 · AAA	25	51	38→40	45	48	240/312/314	74	301	6	9	21%	7%	81	-0.1	234/291/312	78	307	6	7	24%	6%	72	-0.7	240/287/305	66	318	6	3	25%	5%	66	-0.3
✕Bridger Hunt 2010 · A	25	52→56	36→30	40→50	47	244/298/312	68	298	3	8	19%	7%	74	-0.5	209/268/279	70	260	5	10	20%	7%	56	-1.9	179/220/210	31	212	2	8	16%	4%	19	-1.0
✕Michael DeJesus 2008 · A	25	49→51	36→30	43→45	56	227/307/289	62	272	4	6	17%	10%	74	-0.6	229/301/304	75	288	5	6	20%	9%	74	-0.5	230/301/295	65	294	4	4	21%	9%	71	-0.5
✕Clayton Daniel 2021 · AA	26	50	39→40	45→40	50	236/295/321	85	277	5	6	17%	7%	76	-0.4	220/272/307	87	285	7	7	24%	7%	64	-1.3	206/254/259	53	266	5	2	24%	6%	42	-0.9
✕Steve Sollmann 2007 · A	25	54→56	34→30	46→50	51	248/331/299	51	294	1	13	15%	7%	86	+0.3	238/318/314	76	284	4	16	16%	7%	84	+0.1	250/336/327	76	293	3	18	14%	8%	92	+0.7
✕Jamie Johnson 2012 · AA	25	51→55	37→40	45→50	55	239/320/324	85	295	3	9	19%	10%	86	+0.3	244/317/315	71	290	3	14	15%	9%	82	+0.0	244/318/308	65	283	3	15	14%	9%	81	-0.1
✕Taylor Krick 2012 · A	24	46	36→30	40	48	214/300/271	57	291	4	5	26%	8%	68	-1.0	233/317/303	70	321	3	5	26%	8%	81	-0.1	244/334/306	62	340	1	3	25%	9%	85	+0.1
✕Yhoxian Medina 2015 · A	25	51→54	35→30	45→50	46	236/290/299	62	300	2	10	21%	6%	69	-0.9	235/283/305	70	286	3	11	18%	5%	67	-1.1	241/283/304	63	285	2	12	16%	4%	63	-0.6
✕P.J. Higgins 2018 · A	25	48→54	36→45	46→40	50	224/293/291	67	274	4	4	19%	8%	69	-0.9	225/284/312	87	282	7	5	21%	7%	70	-0.8	241/305/360	118	308	12	3	24%	8%	88	+0.3
✕Robby Price 2013 · A	25	49	38→30	42→45	55	227/321/306	79	259	4	7	14%	9%	84	+0.1	211/282/277	66	236	5	5	12%	7%	61	-1.5	200/265/249	49	220	5	2	11%	7%	47	-1.6
✕C.J. Lang 2009 · AA	25	49	37→30	47→50	50	228/287/304	76	263	4	11	15%	7%	69	-0.9	225/297/303	78	270	4	11	17%	8%	73	-0.6	229/315/279	51	273	0	11	15%	10%	72	-0.3
✕Peeter Ramos 2007 · AA	25	51→54	36→30	46→50	46	241/289/306	65	290	4	11	18%	6%	70	-0.9	238/290/318	80	286	7	10	18%	6%	74	-0.6	243/297/317	74	285	8	10	17%	6%	75	-0.2

Career Stats + Projections

Career Comps

Career Path Comps