Taylor Young — OGILVIE

Taylor Young2B Tulsa Drillers

Age 27 R/R 5'8" / 170 lbs AA HR +8%BB -8% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION324 act + 10 ros · stats below = ROS only

showingROS

wRC+†88

AVG/OBP/SLG.222 / .300 / .222

PA10

HR0

K%20

BB%10

BABIP308

ISO65

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · ContractCON 45 / POW 25

Toolsscout grade

CONTACT45

scouting grade only

POWER25

scouting grade only

EYE60

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2030	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
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
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)
2022	23	A	Rancho Cucamonga Quakes	—	137	106	31	4	1	2	27	25	4	11	0	292	453	406	858	113	367	18	20	397	155	+9	+2	—	—	+3	1.4
2023	24	A+	Great Lakes Loons	—	545	443	109	21	5	7	82	112	13	56	5	246	378	363	742	117	309	21	15	340	116	+10	+9	—	—	+12	3.2
2024	25	AA	Tulsa Drillers	—	547	474	112	28	2	4	59	138	11	46	10	236	334	329	663	93	323	25	11	306	93	-4	+5	—	—	+12	1.3
2025	26	AA	Tulsa Drillers	—	575	486	113	21	0	2	80	91	7	44	9	233	349	288	637	56	281	16	14	302	90	-7	+5	—	—	+12	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	23	A MLE	Rancho Cucamonga Quakes	—	137	115	26	3	1	1	18	36	4	11	0	226	350	296	646	70	325	26	13	304	92	-1	+2	—	—	+3	0.4
2023	24	A+ MLE	Great Lakes Loons	—	545	468	94	16	4	6	58	150	13	56	5	201	306	291	597	90	271	28	11	272	70	-19	+9	—	—	+12	0.2
2024	25	AA MLE	Tulsa Drillers	—	547	495	94	23	2	3	39	176	11	46	10	190	264	263	527	73	281	32	7	235	45	-36	+5	—	—	+12	-1.9
2025	26	AA MLE	Tulsa Drillers	—	575	514	109	18	0	2	52	113	7	44	9	212	293	259	552	47	267	20	9	253	57	-29	+5	—	—	+12	-1.2
2022	23	A MLE	Rancho Cucamonga Quakes	—	137	115	26	3	1	1	18	36	4	11	0	226	350	296	646	70	321	26	13	304	92	—	—	—	—	—	—
2022	23	A RAW	Rancho Cucamonga Quakes	—	137	106	31	4	1	2	27	25	4	11	0	292	453	406	858	113	367	18	20	397	92	—	—	—	—	—	—
2023	24	A+ MLE	Great Lakes Loons	—	545	468	94	16	4	6	58	150	13	56	5	201	306	291	597	90	277	28	11	272	70	—	—	—	—	—	—
2023	24	A+ RAW	Great Lakes Loons	—	545	443	109	21	5	7	82	112	13	56	5	246	378	363	742	117	309	21	15	340	70	—	—	—	—	—	—
2024	25	AA MLE	Tulsa Drillers	—	547	495	94	23	2	3	39	176	11	46	10	190	264	263	527	73	286	32	7	235	45	—	—	—	—	—	—
2024	25	AA RAW	Tulsa Drillers	—	547	474	112	28	2	4	59	138	11	46	10	236	334	329	663	93	323	25	11	306	45	—	—	—	—	—	—
2025	26	AA MLE	Tulsa Drillers	—	575	514	109	18	0	2	52	113	7	44	9	212	293	259	552	47	267	20	9	253	57	—	—	—	—	—	—
2025	26	AA RAW	Tulsa Drillers	—	575	486	113	21	0	2	80	91	7	44	9	233	349	288	637	56	281	16	14	302	57	—	—	—	—	—	—
2022	23	A MLE	Rancho Cucamonga Quakes	—	137	114	26	3	1	1	18	36	4	11	0	228	350	298	649	70	325	26	13	304	92	—	—	—	—	—	—
2023	24	A+ MLE	Great Lakes Loons	—	545	469	94	16	4	6	58	150	13	56	5	200	306	290	596	90	271	28	11	272	70	—	—	—	—	—	—
2024	25	AA MLE	Tulsa Drillers	—	547	492	94	23	2	3	39	176	11	46	10	191	264	264	528	73	281	32	7	235	45	—	—	—	—	—	—
2025	26	AA MLE	Tulsa Drillers	—	575	511	109	18	0	2	52	113	7	44	9	213	293	260	553	47	267	20	9	253	57	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	24	A+ MLE	Great Lakes Loons	—	545	469	94	16	4	6	58	150	13	56	5	200	306	290	596	90	271	28	11	272	70	—	—	—	—	—	—
2024	25	AA MLE	Tulsa Drillers	—	547	492	94	23	2	3	39	176	11	46	10	191	264	264	528	73	281	32	7	235	45	—	—	—	—	—	—
2025	26	AA MLE	Tulsa Drillers	—	575	511	109	18	0	2	52	113	7	44	9	213	293	260	553	47	267	20	9	253	57	—	—	—	—	—	—
YTD	27	AA MLE	LAD	—	324	288	83	13	1	5	29	63	6	17	3	288	365	392	758	104	355	19	9	332	111	+4	+2	+0	+1	+7	1.5
▸ 2026 season
YTD	27	ROK RAW	LAD	—	27	23	6	2	0	0	3	5	1	0	0	261	370	348	718	87	333	19	11	334	111	—	—	—	—	—	—
YTD	27	AA RAW	LAD	—	247	211	67	9	1	4	32	40	4	17	2	318	417	427	844	109	377	16	13	383	111	—	—	—	—	—	—
YTD	27	AAA RAW	LAD	—	50	41	15	4	0	2	7	5	1	0	1	366	469	610	1.079	244	382	10	14	461	111	—	—	—	—	—	—
ROS	27	AA MLE	LAD	2%	10	9	2	0	0	0	1	2	0	1	0	222	300	222	522		313	20	10	298	88	-0	+0	+0	+0	+0	0.0
TOT	27	AA MLE	LAD	—	334	297	85	13	1	5	30	65	6	18	3	286	363	387	751	101	352	19	9	331	110	+4	+2	+0	+1	+7	1.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	28	MLB MLE	LAD	27%	333	296	73	13	1	4	29	74	5	15	3	247	324	338	662	91	310	22	9	298	88	-5	+2	-1	+1	+7	0.5
2028	29	MLB MLE	LAD	37%	352	313	75	13	1	4	31	79	5	15	3	240	318	326	644	86	308	22	9	298	88	-5	+2	-1	+1	+8	0.4
2029	30	MLB MLE	LAD	43%	363	323	79	14	1	5	32	82	5	14	3	245	322	341	663	96	306	23	9	297	87	-6	+2	-2	+1	+8	0.3
2030	31	MLB MLE	LAD	47%	358	318	75	13	1	4	32	82	5	12	2	236	315	321	636	85	303	23	9	293	84	-7	+2	-3	+1	+8	0.1
2031	32	MLB MLE	LAD	49%	345	307	72	12	1	4	30	80	5	9	2	235	313	319	632	85	300	23	9	287	81	-8	+1	-4	+1	+7	-0.2
2027	28	MLB CTX	LAD	27%	89	80	19	3	0	1	8	20	1	4	1	237	315	312	627	75	306	22	9	285	88	-1	+0	-0	+0	+2	0.1
2028	29	MLB CTX	LAD	37%	131	116	28	5	0	2	12	29	2	6	1	241	323	336	659	95	304	22	9	286	88	-2	+1	-1	+0	+3	0.2
2029	30	MLB CTX	LAD	43%	157	140	33	6	0	2	14	36	2	6	1	236	314	321	636	86	302	23	9	284	87	-2	+1	-1	+1	+3	0.1
2030	31	MLB CTX	LAD	47%	167	148	34	6	0	2	15	38	2	6	1	230	309	311	620	81	299	23	9	281	84	-3	+1	-1	+1	+4	0.1
2031	32	MLB CTX	LAD	49%	168	149	34	6	0	2	15	39	2	5	1	228	307	309	616	81	296	23	9	276	81	-4	+1	-2	+1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	712	633	148	26	0	9	64	162	9	27	5	234	313	318	631	84	298	23	9	282	73	-13	+3	-5	+3	+15	0.4
/ 162G	—	A+C		—	650	578	135	24	0	8	58	148	8	25	5	234	312	317	629	83	298	23	9	282	73	-11	+3	-4	+2	+14	0.4
Career	—	MLE		—	3565	3158	699	125	12	33	322	874	60	223	37	221	305	300	605	79	293	25	9	276	73	-30	+8	-10	+6	+38	1.2
/ 162G	—	MLE		—	650	576	127	23	2	6	59	159	11	41	7	220	305	299	604	78	292	24	9	276	73	-11	+3	-4	+2	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Delino DeShieldslast yr '21 career totals — 7 seasons, 2,114 PA	3.2	2,114	19	111	246	327	342	+1	+6	5.3	5.3
/162	664	6	35	+0.4	+1.8	1.7	pk7: 5
#2Everth 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
#3Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	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
#5Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	pk7: 3
#6Chris Getzlast yr '13 career totals — 5 seasons, 1,539 PA	2.3	1,539	3	86	251	310	309	+5	+12	2.7	2.7
/162	664	1	37	+2.4	+5.1	1.2	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.1	716	9	26	240	314	328	+3	+2	1.2	1.2
/162	664	8	24	+2.4	+1.9	1.1	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
Taylor Young (OGILVIE)	27	45	25	60	60	243/322/323	80	313	2	13	22%	9%	88	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Darin Mastroianni 2013 · MLB	27	52→59	38→40	63→60	49	243/303/329	86	302	5	37	20%	8%	80	-0.1	223/279/299	76	286	5	28	22%	6%	65	-1.2	215/266/278	63	275	3	25	22%	6%	52	-1.3
✕Delino DeShields 2020 · MLB	27	49→55	40→45	58→65	52	232/311/324	92	300	7	32	24%	10%	83	+0.1	223/308/309	86	306	6	28	26%	10%	79	-0.2	207/305/268	61	300	3	32	28%	12%	66	-0.6
✕Tyler Holt 2016 · MLB	27	55→58	35→30	57→55	50	254/315/321	67	319	2	26	20%	8%	83	+0.1	229/299/300	71	303	4	20	23%	9%	72	-0.7	228/321/288	60	309	0	12	23%	11%	76	-0.2
✕Tyler Saladino 2016 · MLB	27	48→47	41→45	59→55	46	232/284/333	101	279	8	25	20%	6%	74	-0.5	233/288/338	105	290	10	19	22%	6%	77	-0.3	227/287/327	99	289	10	17	24%	7%	73	-0.3
✕Kenny Wilson 2017 · AAA	27	48→51	38→40	56→60	44	227/286/311	84	304	5	27	26%	7%	70	-0.8	214/280/306	92	311	7	22	31%	7%	67	-1.1	200/268/290	91	305	7	22	34%	7%	57	-0.7
✕Patrick Biondi 2018 · AA	27	50→44	35→30	55→60	46	233/292/292	59	308	3	29	24%	7%	68	-1.0	215/282/277	62	301	3	26	27%	8%	61	-1.5	194/268/218	24	284	0	37	29%	8%	40	-1.3
✕Craig Gentry 2012 · MLB	28	51→57	39→40	61→60	47	244/308/328	85	292	6	31	18%	6%	82	+0.0	259/330/344	85	313	4	33	17%	7%	95	+0.9	271/344/342	71	329	2	40	17%	7%	93	+0.4
✕Nook Logan 2007 · MLB	27	51	37→40	57→60	48	241/294/320	79	300	4	27	21%	7%	74	-0.5	244/293/336	92	324	5	27	24%	6%	78	-0.3	260/300/338	78	351	0	39	25%	5%	78	-0.2
✕Myles Straw 2023 · MLB	28	52→58	36→40	56→60	55	240/312/311	71	288	3	23	17%	10%	80	-0.2	231/293/307	76	289	4	23	20%	8%	72	-0.7	227/285/317	90	279	5	24	19%	7%	69	-0.6
✕J.D. Orr 2023 · AA	26	50	36→30	61→65	50	230/306/298	69	306	2	41	24%	9%	75	-0.5	213/295/286	73	299	4	29	27%	9%	69	-0.9	167/273/192	24	252	0	34	30%	11%	38	-0.9
✕Cade Gotta 2019 · AAA	27	50→52	40→45	59→55	45	238/287/337	99	297	6	32	22%	6%	76	-0.4	238/304/349	111	309	8	21	24%	9%	86	+0.3	247/326/357	110	320	8	21	23%	10%	96	+0.4
✕Drew Maggi 2016 · AA	27	50→56	35→45	51→60	47	235/295/291	56	292	3	28	20%	7%	69	-0.9	239/298/317	78	312	5	19	23%	6%	76	-0.4	244/304/323	79	325	5	18	25%	6%	77	-0.2
✕Wynton Bernard 2018 · AAA	27	50→59	39→45	58→60	43	240/282/329	90	294	6	26	21%	5%	72	-0.7	220/266/319	99	283	7	28	24%	6%	64	-1.3	250/298/375	125	305	12	37	21%	6%	86	+0.3
✕Anthony Jackson 2011 · AA	27	50→55	36→40	57→55	47	234/293/303	69	284	3	26	18%	6%	71	-0.8	241/306/328	87	293	7	23	19%	7%	82	-0.0	253/320/338	85	304	8	26	18%	7%	87	+0.1
✕Elian Herrera 2012 · AAA	27	51→57	37→40	58→60	47	238/302/316	78	325	4	30	26%	8%	77	-0.3	246/302/334	88	322	5	19	23%	7%	81	-0.1	251/302/336	85	325	4	17	22%	6%	79	-0.1
✕Daniel Figueroa 2009 · A	26	48→53	35→30	55	48	219/302/274	54	314	2	24	28%	9%	69	-0.9	233/321/297	64	311	3	17	23%	9%	81	-0.1	244/340/302	58	317	2	15	21%	9%	87	+0.2
✕Evan Frey 2013 · AAA	27	50→58	35→40	54→55	51	232/297/294	63	286	2	24	19%	8%	70	-0.8	218/280/282	64	277	3	19	21%	8%	61	-1.5	210/271/255	45	270	1	19	21%	8%	48	-1.1
✕Travis Jankowski 2018 · MLB	27	52→62	37→40	57→65	50	242/314/313	72	320	3	30	24%	9%	81	-0.1	246/316/321	75	322	5	27	23%	9%	84	+0.1	260/338/329	69	331	4	29	20%	10%	89	+0.3
✕Jon Berti 2017 · AAA	27	49→59	38→45	59→60	46	234/291/318	85	284	5	29	19%	6%	74	-0.6	239/301/351	112	302	9	33	22%	7%	85	+0.2	272/354/401	129	342	12	35	22%	9%	113	+1.2
✕Josh Prince 2015 · AAA	27	44→48	40	54→60	49	212/286/300	88	274	8	30	24%	9%	68	-1.0	215/281/312	97	280	9	23	25%	8%	69	-0.9	219/291/306	88	300	8	18	28%	9%	69	-0.4

Career Stats + Projections

Career Comps

Career Path Comps