Devin Taylor

OF Midland RockHounds

Age 23 L/R 6'0" / 215 lbs AA HR -5% Svc 0.0 · Ctrl thru 2033

Overview

AAPROSPECTMiLBFA 2034

OGV OFP35OGV rank#479ETA2029MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	AOAK	129	.264/.391/.481	6	2	77	—	.195/.289/.336
2026	22	AAA/AA/A+OAK	647	.308/.415/.493	23	13	113	—	.269/.353/.410
2027PROJMLE	23	MLBOAK	4	.234/.320/.377	0	0	95	0.0
2028PROJ31% MLB	24	MLBOAK	160	.239/.325/.393	5	3	100	0.2
2029PROJ45% MLB	25	MLBOAK	246	.242/.327/.403	8	4	103	0.4

Next 3 projected WAR 0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$3M2032Arb-2$4M2033Arb-3$4M

Skills · percentileMiLB Statcast 2026 AAA

Chase%78

BB%47

Max EV29

Whiff%24

Z-Con%19

Speed19

Career WAR0.1 WAR median (P10 -0.4 / P90 17, comp-based) · star 7% · didn't stick 66%

CompsJason Martin (age 23) · Addison Barger (age 24) · Christin Stewart (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†95

AVG/OBP/SLG.234 / .320 / .377

PA4

HR0

K%25

BB%10

BABIP324

ISO135

MLB%2%

Value2027 · WAR

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

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2029	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.8M	+0.5	$2M	+$1.0M
2031	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2032	Arb-2	$4M	+0.4	$1M	+$0.0M (cut)
2033	Arb-3	$4M	+0.3	$0.8M	+$0.0M (cut)
Totals		$2M		$7M	+$2M

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. 2027 = full-season projection (no games played yet). 2028+ 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	Stockton Ports	—	129	106	28	5	0	6	21	37	1	2	1	264	391	481	872	217	344	29	16	385	77	—	—	—	—	—	—
2026	22	AAA	Las Vegas Aviators	—	68	61	18	3	0	3	7	25	0	0	0	295	368	492	859	197	455	37	10	380	84	—	—	—	—	—	—
2026	22	AA	Midland RockHounds	—	325	279	90	15	1	14	41	93	2	6	2	323	413	534	947	211	434	29	13	413	124	—	—	—	—	—	—
2026	22	A+	Lansing Lugnuts	—	254	202	59	11	0	6	48	58	1	7	3	292	430	436	866	144	376	23	19	389	106	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Stockton Ports	—	129	113	22	4	0	4	14	50	1	2	1	195	289	336	625	142	300	39	11	282	77	—	—	—	—	—	—
2026	22	AAA MLE	Las Vegas Aviators	—	68	63	15	2	0	2	5	30	0	0	0	238	294	365	659	127	424	44	7	293	84	—	—	—	—	—	—
2026	22	AA MLE	Midland RockHounds	—	325	290	83	13	1	11	30	113	2	6	2	286	357	452	809	166	418	35	9	351	124	—	—	—	—	—	—
2026	22	A+ MLE	Lansing Lugnuts	—	254	215	55	9	0	5	35	74	1	7	3	256	363	367	730	112	350	29	14	325	106	—	—	—	—	—	—
2025	21	A MLE	Stockton Ports	—	129	113	22	4	0	4	14	50	1	2	1	195	289	336	625	142	300	39	11	282	77	—	—	—	—	—	—
2025	21	A RAW	Stockton Ports	—	129	106	28	5	0	6	21	37	1	2	1	264	391	481	872	217	344	29	16	385	77	—	—	—	—	—	—
2026	22	AA MLE	3 teams	—	647	568	153	25	1	18	70	217	3	13	5	269	353	412	765	143	398	34	11	335	113	—	—	—	—	—	—
2026	22	AA RAW	3 teams	—	647	542	167	29	1	23	96	176	3	13	5	308	415	493	908	185	413	27	15	400	113	—	—	—	—	—	—
2025	21	A MLE	Stockton Ports	—	129	113	22	4	0	4	14	50	1	2	1	195	289	336	625	142	300	39	11	282	77	—	—	—	—	—	—
2026	22	AA MLE	3 teams	—	647	569	153	25	1	18	70	217	3	13	5	269	353	411	764	142	392	34	11	335	113	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A MLE	Stockton Ports	—	129	113	22	4	0	4	14	50	1	2	1	195	289	336	625	142	300	39	11	282	77	—	—	—	—	—	—
2026	22	AA MLE	3 teams	—	647	569	153	25	1	18	70	217	3	13	5	269	353	411	764	142	392	34	11	335	113	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	OAK	2%	581	511	117	19	1	17	62	180	3	9	3	229	315	369	684	140	314	31	11	308	95	-4	+1	-4	-3	+13	0.2
▸ 2027 — real world (MLB)
2027	23	MLB CTX	OAK	2%	4	4	1	0	0	0	0	1	0	0	0	234	320	377	697	143	324	25	0	313	95	-0	+0	-0	-0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	OAK	31%	517	454	106	18	1	16	55	157	3	8	3	233	320	385	705	152	314	30	11	316	100	-0	+0	-3	-3	+11	0.6
2029	25	MLB MLE	OAK	45%	552	485	115	19	1	19	59	165	3	9	3	236	322	395	717	159	313	30	11	321	103	+2	+1	-2	-3	+12	0.9
2030	26	MLB MLE	OAK	51%	578	509	120	20	1	20	61	170	3	9	3	238	323	400	724	163	312	29	11	323	105	+3	+1	-3	-3	+13	1.0
2031	27	MLB MLE	OAK	53%	597	526	124	21	1	20	63	175	3	9	3	237	322	398	720	161	310	29	11	321	104	+3	+1	-3	-4	+13	1.0
2032	28	MLB MLE	OAK	53%	612	540	126	21	1	20	64	178	3	8	4	235	320	394	714	158	308	29	10	319	102	+1	+0	-3	-4	+13	0.8
2033	29	MLB MLE	OAK	53%	614	543	126	21	1	20	63	181	3	7	4	233	317	387	704	154	307	29	10	315	99	-0	-0	-4	-4	+13	0.5
2034	30	MLB MLE	OAK	52%	614	543	125	21	1	19	63	183	3	7	4	230	313	379	692	149	304	30	10	310	96	-3	-0	-5	-4	+13	0.2
2035	31	MLB MLE	OAK	52%	606	536	121	20	1	18	62	182	3	5	7	225	308	369	677	143	301	30	10	304	92	-6	-2	-6	-4	+13	-0.4
2028	24	MLB CTX	OAK	31%	160	141	33	6	0	5	17	49	1	3	1	239	325	393	718	154	324	31	11	321	100	-0	+0	-1	-1	+3	0.2
2029	25	MLB CTX	OAK	45%	246	217	52	9	1	8	26	73	1	4	1	242	327	403	730	161	323	30	11	326	103	+1	+0	-1	-1	+5	0.4
2030	26	MLB CTX	OAK	51%	294	259	63	11	1	10	31	87	2	5	2	243	328	408	736	165	322	30	11	328	105	+2	+0	-1	-2	+6	0.5
2031	27	MLB CTX	OAK	53%	313	275	66	12	1	10	33	92	2	5	2	242	327	406	733	163	320	29	11	326	104	+1	+0	-1	-2	+7	0.5
2032	28	MLB CTX	OAK	53%	327	288	70	13	1	11	34	95	2	4	2	241	325	402	726	161	318	29	10	324	102	+1	+0	-2	-2	+7	0.4
2033	29	MLB CTX	OAK	53%	323	285	68	12	1	10	33	95	2	4	2	238	322	395	717	157	316	29	10	320	99	-0	+0	-2	-2	+7	0.3
2034	30	MLB CTX	OAK	52%	320	282	67	12	1	10	33	95	2	3	2	235	318	387	704	152	314	30	10	315	96	-1	-0	-3	-2	+7	0.1
2035	31	MLB CTX	OAK	52%	314	278	64	12	0	9	32	95	1	2	4	231	313	376	689	146	310	30	10	309	92	-3	-1	-3	-2	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2297	2025	483	87	6	73	239	681	13	30	16	239	323	396	718	157	319	30	10	321	101	-0	-0	-14	-14	+50	2.2
/ 162G	—	A+C		—	650	573	138	25	2	21	68	193	4	8	5	241	326	401	727	161	322	30	10	321	101	-0	-0	-4	-4	+14	0.6
Career	—	MLE		—	5676	5002	1180	197	9	180	596	1723	29	80	38	236	321	387	708	151	319	30	11	317	101	-1	+0	-30	-29	+106	4.7
/ 162G	—	MLE		—	650	573	136	23	1	21	68	197	3	9	4	237	321	391	712	154	320	30	10	317	101	-0	+0	-4	-4	+14	0.6

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAMidland RockHounds · 325 PAwOBA .406 → .351 (−55)K% 28.6% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.62%	÷1.000	×1.220	—	—	34.91%
BB% (unintentional) /PA	12.62%	÷1.000	×0.700	—	×1.042	9.20%
HBP% /PA	0.62%	—	×0.870	—	×1.042	0.56%
Singles /BIP	32.26%	÷1.000	×0.920	×1.035	×1.042	32.01%
Doubles /BIP	8.06%	÷1.000	×0.840	×1.035	×1.042	7.31%
Triples /BIP	0.54%	÷1.000	×0.940	×1.035	×1.042	0.55%
Home runs /BIP	7.53%	÷1.000	×0.800	—	×1.042	6.27%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.035.

Result: wOBA .406 → .351; ISO .211 → .175; BABIP .434 → .418. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 A+Lansing Lugnuts · 254 PAwOBA .385 → .325 (−59)K% 22.8% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.83%	÷1.000	×1.270	—	—	29.00%
BB% (unintentional) /PA	18.90%	÷1.000	×0.710	—	×1.012	13.58%
HBP% /PA	0.39%	—	×0.790	—	×1.012	0.31%
Singles /BIP	29.17%	÷1.000	×0.920	×1.034	×1.012	28.07%
Doubles /BIP	7.64%	÷1.000	×0.810	×1.034	×1.012	6.47%
Triples /BIP	0.00%	÷1.000	×0.850	×1.034	×1.012	0.00%
Home runs /BIP	4.17%	÷1.000	×0.800	—	×1.012	3.37%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .385 → .325; ISO .144 → .119; BABIP .376 → .350. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 AAALas Vegas Aviators · 68 PAwOBA .370 → .293 (−76)K% 36.8% → 44.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.76%	÷1.000	×1.200	—	—	44.12%
BB% (unintentional) /PA	10.29%	÷1.000	×0.690	—	×1.050	7.46%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	33.33%	÷1.000	×0.930	—	×1.050	32.55%
Doubles /BIP	8.33%	÷1.000	×0.830	—	×1.050	7.26%
Triples /BIP	0.00%	÷1.000	×0.970	—	×1.050	0.00%
Home runs /BIP	8.33%	÷1.000	×0.700	—	×1.050	6.12%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average).

Result: wOBA .370 → .293; ISO .197 → .138; BABIP .455 → .424. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 AStockton Ports · 129 PAwOBA .378 → .282 (−96)K% 28.7% → 38.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.68%	÷1.011	×1.360	—	—	38.57%
BB% (unintentional) /PA	16.28%	÷1.029	×0.690	—	×1.015	11.08%
HBP% /PA	0.78%	—	×0.780	—	×1.015	0.61%
Singles /BIP	24.64%	÷1.003	×0.920	×0.982	×1.015	22.52%
Doubles /BIP	7.25%	÷0.990	×0.830	×0.982	×1.015	6.05%
Triples /BIP	0.00%	÷1.150	×0.910	×0.982	×1.015	0.00%
Home runs /BIP	8.70%	÷1.113	×0.800	—	×1.015	6.34%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 123, 1B 101, 2B 98, 3B 130, K 102, BB 106 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .378 → .282; ISO .217 → .152; BABIP .344 → .300. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Derek Bell'91-'01 * career totals — 10 seasons, 5,068 PA	7.6	5,068	134	170	264*	322*	414*	-34	-29	11.8	13.5
/162	664	18	22	-4.4	-3.8	1.5	pk7: 15
#2Kole Calhounlast yr '23 career totals — 11 seasons, 4,963 PA	7.5	4,963	179	33	242	316	418	-54	-33	8.3	9.6
/162	664	24	4	-7.3	-4.4	1.1	pk7: 11
#3Mitch Hanigerlast yr '24 career totals — 8 seasons, 3,089 PA	4.7	3,089	130	19	250	324	448	-31	-36	7.8	8.4
/162	664	28	4	-6.7	-7.8	1.7	pk7: 9
#4Leroy Stanton'70-'78 * career totals — 7 seasons, 2,883 PA	4.3	2,883	77	36	245*	314*	430*	-33	-1	6.5	7.8
/162	664	18	8	-7.7	-0.2	1.5	pk7: 9
#5Anthony Santanderlast yr '25 career totals — 8 seasons, 3,305 PA	5.0	3,305	161	10	241	305	459	-35	-36	6.7	7.2
/162	664	32	2	-7.1	-7.3	1.4	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.5	2,302	75	30	234	315	390	-14	-16	4.9	4.8
/162	664	22	9	-4.0	-4.7	1.4	pk7: 5
#6Bobby Darwin'62-'77 * career totals — 5 seasons, 2,436 PA	3.7	2,436	83	15	255*	315*	465*	-24	-24	3.4	3.5
/162	664	23	4	-6.5	-6.6	0.9	pk7: 4

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
Devin Taylor (OGILVIE)	23	—	—	—	—	227/313/365	139	314	6	3	31%	11%	95	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jason Martin 2019 · AAA	23	47→52	48→60	47→50	42	236/284/385	149	310	15	12	29%	6%	87	+0.4	231/282/374	143	292	14	12	25%	6%	84	+0.1	226/292/414	187	279	24	8	28%	8%	94	+0.6
✕Addison Barger 2024 · AAA	24	45→49	49→55	45	43	227/292/375	148	308	17	7	31%	8%	88	+0.4	226/292/393	167	281	19	7	26%	8%	93	+0.8	224/289/406	182	269	21	6	25%	8%	94	+0.8
✕Christin Stewart 2017 · AA	23	40→48	52→55	46→45	48	209/301/378	169	282	20	5	32%	10%	93	+0.8	223/297/391	168	287	20	3	28%	8%	94	+0.9	227/301/404	177	282	22	1	27%	8%	98	+1.0
●Jack Suwinski 2022 · AA	24	42→43	51→60	45→50	46	210/291/368	158	305	19	9	36%	10%	86	+0.3	213/300/408	195	286	26	11	33%	10%	99	+1.3	203/291/399	196	263	27	11	33%	10%	94	+0.8
✕George Valera 2024 · AAA	23	42→43	49→50	42→45	49	213/301/363	150	293	17	5	32%	10%	89	+0.5	221/292/363	142	301	16	6	30%	9%	85	+0.2	222/290/363	141	290	16	5	28%	8%	82	+0.0
✕Kirk Nieuwenhuis 2011 · AAA	23	50→51	48→60	48→50	41	243/293/397	154	328	14	11	30%	6%	93	+0.8	240/301/386	146	336	14	10	31%	8%	93	+0.8	221/299/412	191	304	20	11	32%	9%	99	+0.7
●Travis Shaw 2013 · AA	23	45→52	51→60	49→45	47	229/304/397	169	298	17	9	28%	9%	98	+1.2	227/296/376	149	286	16	6	25%	8%	90	+0.6	246/323/457	211	279	27	7	22%	10%	120	+2.6
✕Nick Weglarz 2011 · AAA	23	47→48	50	43→45	53	238/325/401	163	288	17	5	23%	10%	106	+1.8	213/303/353	140	307	15	5	33%	10%	88	+0.4	183/284/307	124	286	14	2	37%	11%	68	-0.5
✕Jace Jung 2024 · AA	23	43→44	52→50	48→40	48	220/300/383	163	290	20	5	30%	9%	93	+0.8	216/304/368	152	282	17	4	28%	11%	91	+0.7	205/299/350	146	260	16	3	27%	11%	84	+0.1
●Colton Cowser 2024 · MLB	24	52	47→55	49→50	50	241/339/380	138	355	14	11	33%	11%	107	+1.8	227/308/399	172	312	22	14	32%	9%	100	+1.3	219/300/395	176	292	24	15	32%	9%	97	+0.8
✕Chris Lubanski 2008 · AAA	23	47→52	50→55	45	45	238/292/397	159	295	16	7	25%	7%	93	+0.8	216/269/363	147	297	15	8	31%	7%	76	-0.4	205/259/358	153	287	16	8	33%	7%	70	-0.5
✕Scott Moore 2007 · MLB	23	46→50	51→55	46→50	41	235/293/396	162	315	19	12	31%	7%	94	+0.9	225/289/385	160	295	18	7	29%	7%	90	+0.6	236/301/378	142	289	16	5	23%	7%	91	+0.5
●Brian Goodwin 2013 · AA	22	47→52	46→60	48→50	49	233/308/370	136	299	14	13	26%	9%	93	+0.8	220/293/335	115	302	9	13	28%	9%	79	-0.2	243/307/436	194	312	22	11	28%	8%	108	+1.1
★Nolan Jones 2021 · AA	23	50→59	48→55	46→50	50	234/326/374	139	355	16	6	35%	12%	101	+1.4	241/323/396	155	354	16	12	33%	10%	104	+1.6	253/341/431	178	359	19	16	32%	11%	118	+2.0
✕Greg Bird 2015 · AA	22	46→49	50→60	46→30	51	228/317/391	163	314	17	2	31%	11%	101	+1.4	237/311/415	178	292	20	3	25%	9%	105	+1.7	222/303/411	190	257	23	0	23%	9%	100	+0.8
✕Connor Norby 2023 · AAA	23	46→51	52→55	49→50	45	236/302/402	166	297	20	12	27%	7%	98	+1.2	247/306/406	159	329	18	11	29%	7%	100	+1.3	247/320/404	157	334	17	14	30%	8%	104	+1.4
✕Taylor Trammell 2022 · MLB	24	41→48	49→55	47→55	45	211/289/355	144	289	17	12	32%	9%	83	+0.1	221/305/392	171	297	20	18	31%	10%	97	+1.1	210/303/380	170	280	20	23	31%	11%	92	+0.4
●Justyn-Henry Malloy 2023 · AAA	23	50→60	47→50	48→45	50	241/323/375	135	330	15	6	30%	10%	99	+1.3	239/338/387	148	334	17	6	30%	12%	108	+1.9	239/348/390	150	332	17	5	30%	13%	110	+1.8
✕Carter Kieboom 2021 · MLB	23	49→55	45→50	45	50	237/321/360	124	314	13	6	27%	10%	96	+1.0	220/309/338	118	282	14	5	25%	9%	86	+0.3	232/294/332	100	301	11	8	25%	7%	75	-0.3
✕Jaff Decker 2014 · MLB	24	45→52	46→55	43→55	50	220/301/354	133	294	14	8	29%	10%	86	+0.3	227/302/344	117	289	10	15	23%	9%	84	+0.2	220/297/330	109	273	9	19	22%	9%	79	-0.2

Devin Taylor

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps