Dylan Palmer

2B Greensboro Grasshoppers

Age 23 L/R 5'7" / 170 lbs A+ HR -15%K -5% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

OGV OFP35OGV rank#996ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	22	A+/APIT	459	.294/.374/.370	1	43	77	—	.262/.321/.329
2027PROJMLE	23	MLBPIT	1	.242/.305/.321	0	0	78	-0.0
2028PROJ30% MLB	24	MLBPIT	126	.245/.309/.335	1	4	83	0.1
2029PROJ44% MLB	25	MLBPIT	204	.247/.311/.345	2	6	86	0.2

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$0.6M+2

Skills · percentileMiLB Statcast 2026 A+

Whiff%99

Z-Con%99

K%97

Speed86

Chase%66

wOBA65

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 98%

CompsKyle Mottice (age 23) · Nate Furman (age 23) · Hak-Ju Lee (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†78

AVG/OBP/SLG.242 / .305 / .321

PA1

HR0

K%21

BB%8

BABIP306

ISO79

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$7M ctrl surplus

Tools · ContractCON 60 / POW 34

Toolsscout grade

CONTACT60

scouting grade only

POWER34

scouting grade only

EYE53

scouting grade only

SPEED69

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
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	+0.3	$0.9M	+$0.3M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Arb-1	$0.6M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$2M	+$0.6M

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)
2026	22	A+	Greensboro Grasshoppers	—	244	204	64	10	3	0	29	30	1	16	8	314	392	392	784	78	362	12	12	348	83	—	—	—	—	—	—
2026	22	A	Bradenton Marauders	—	215	180	49	4	3	1	25	38	1	27	10	272	354	344	698	72	338	18	12	313	70	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	22	A+ MLE	Greensboro Grasshoppers	—	244	222	61	9	3	0	17	39	1	16	8	275	329	342	672	68	316	16	7	291	83	—	—	—	—	—	—
2026	22	A MLE	Bradenton Marauders	—	215	194	48	4	3	1	17	52	1	27	10	247	311	314	626	67	320	24	8	272	70	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	459	416	108	12	6	1	34	91	2	43	18	260	319	325	643	65	326	20	7	282	77	—	—	—	—	—	—
2026	22	A+ RAW	2 teams	—	459	384	113	14	6	1	54	68	2	43	18	294	374	370	744	76	351	15	12	331	77	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	459	420	108	12	6	1	34	91	2	43	18	257	319	321	640	64	318	20	7	282	77	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	22	A+ MLE	2 teams	—	459	420	108	12	6	1	34	91	2	43	18	257	319	321	640	64	318	20	7	282	77	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	PIT	0%	569	517	126	22	5	3	43	119	4	18	6	242	304	320	625	78	305	21	8	284	78	-15	+1	+0	+2	+12	0.2
▸ 2027 — real world (MLB)
2027	23	MLB CTX	PIT	0%	1	1	0	0	0	0	0	0	0	0	0	242	305	321	626	79	306	0	0	284	78	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	PIT	30%	416	378	92	16	3	4	32	87	3	13	5	245	308	336	644	90	305	21	8	291	83	-8	+1	+0	+1	+9	0.3
2029	25	MLB MLE	PIT	44%	462	420	103	18	4	5	36	96	3	14	5	247	311	346	657	99	305	21	8	296	86	-7	+1	+0	+2	+10	0.5
2030	26	MLB MLE	PIT	51%	489	445	110	19	4	7	38	102	3	15	5	248	312	353	665	106	304	21	8	299	89	-7	+1	+0	+2	+11	0.7
2031	27	MLB MLE	PIT	52%	496	451	111	19	4	7	39	105	3	14	6	246	311	353	665	107	303	21	8	299	88	-7	+0	+0	+2	+11	0.6
2032	28	MLB MLE	PIT	53%	495	450	109	19	3	7	39	106	3	12	5	245	310	351	661	107	302	21	8	298	88	-7	+0	-1	+2	+11	0.5
2033	29	MLB MLE	PIT	53%	486	442	107	19	3	7	38	105	3	10	4	242	307	345	652	103	301	22	8	294	85	-9	+0	-1	+2	+11	0.3
2034	30	MLB MLE	PIT	52%	475	432	103	18	3	6	37	105	3	8	4	239	304	337	641	98	299	22	8	289	82	-10	+0	-2	+2	+10	-0.0
2028	24	MLB CTX	PIT	30%	126	114	28	5	1	1	10	26	1	4	1	245	309	335	644	90	306	21	8	291	83	-3	+0	+0	+0	+3	0.1
2029	25	MLB CTX	PIT	44%	204	185	46	8	2	2	16	43	1	6	2	247	311	345	656	98	306	21	8	296	86	-3	+0	+0	+1	+4	0.2
2030	26	MLB CTX	PIT	51%	248	225	55	10	2	3	19	52	2	7	3	247	312	351	663	104	305	21	8	298	89	-3	+0	+0	+1	+5	0.3
2031	27	MLB CTX	PIT	52%	260	236	58	11	2	3	20	55	2	7	3	246	311	351	662	105	304	21	8	298	88	-4	+0	+0	+1	+6	0.3
2032	28	MLB CTX	PIT	53%	264	239	59	11	2	4	21	56	2	7	3	244	310	349	659	105	303	21	8	297	88	-4	+0	-0	+1	+6	0.3
2033	29	MLB CTX	PIT	53%	255	231	56	10	2	3	20	55	2	5	2	242	307	343	650	101	302	22	8	293	85	-5	+0	-1	+1	+6	0.1
2034	30	MLB CTX	PIT	52%	247	224	54	10	2	3	19	54	2	4	2	239	303	336	639	97	300	22	8	289	82	-5	+0	-1	+1	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1604	1454	356	65	13	19	125	341	12	40	16	245	310	347	656	102	306	21	8	295	85	-27	+2	-2	+6	+35	1.4
/ 162G	—	A+C		—	650	589	144	26	5	8	51	138	5	16	6	244	310	346	656	102	305	21	8	295	85	-11	+1	-1	+2	+14	0.6
Career	—	MLE		—	3988	3625	889	148	32	45	309	841	24	135	54	245	309	341	650	96	306	21	8	293	85	-61	+4	-4	+13	+76	2.8
/ 162G	—	MLE		—	650	591	144	24	5	7	50	137	4	22	9	244	307	337	644	93	304	21	8	293	85	-11	+1	-1	+2	+14	0.5

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 A+Greensboro Grasshoppers · 244 PAwOBA .343 → .291 (−52)K% 12.3% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.30%	÷1.000	×1.310	—	—	16.11%
BB% (unintentional) /PA	11.89%	÷1.000	×0.600	—	×0.998	7.12%
HBP% /PA	0.41%	—	×0.770	—	×0.998	0.31%
Singles /BIP	29.31%	÷1.000	×0.870	×1.022	×0.998	26.00%
Doubles /BIP	5.75%	÷1.000	×0.780	×1.022	×0.998	4.57%
Triples /BIP	1.72%	÷1.000	×0.850	×1.022	×0.998	1.49%
Home runs /BIP	0.00%	÷1.000	×0.880	—	×0.998	0.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .343 → .291; ISO .078 → .069; BABIP .362 → .316. 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 ABradenton Marauders · 215 PAwOBA .307 → .272 (−35)K% 17.7% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.67%	÷1.000	×1.360	—	—	24.04%
BB% (unintentional) /PA	11.63%	÷1.000	×0.690	—	×0.990	7.94%
HBP% /PA	0.47%	—	×0.780	—	×0.990	0.36%
Singles /BIP	28.87%	÷1.000	×0.920	×1.050	×0.990	27.61%
Doubles /BIP	2.82%	÷1.000	×0.830	×1.050	×0.990	2.43%
Triples /BIP	2.11%	÷1.000	×0.910	×1.050	×0.990	2.00%
Home runs /BIP	0.70%	÷1.000	×0.800	—	×0.990	0.56%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .307 → .272; ISO .072 → .065; BABIP .338 → .320. 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
#1Horace Clarke'65-'74 * career totals — 10 seasons, 5,242 PA	7.9	5,242	27	151	264*	314*	351*	+20	+26	13.3	13.4
/162	664	3	19	+2.6	+3.3	1.7	pk7: 14
#2Kazuo Matsuilast yr '10 career totals — 7 seasons, 2,555 PA	3.8	2,555	32	102	267	321	380	+13	+5	9.3	9.3
/162	664	8	27	+3.3	+1.2	2.4	pk7: 9
#3Damian Jackson'96-'06 * career totals — 7 seasons, 2,509 PA	3.8	2,509	32	133	232*	309*	342*	+10	+11	5.7	6.0
/162	664	8	35	+2.5	+3.0	1.5	pk7: 6
#4Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#5Carlos Sanchez'14-'22 * career totals — 6 seasons, 2,503 PA	3.8	2,503	32	30	248*	305*	353*	+8	+0	2.1	2.6
/162	664	8	8	+2.0	+0.0	0.6	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.4	1,606	21	41	246	307	348	+6	+3	2.6	2.6
/162	664	9	17	+2.4	+1.2	1.1	pk7: 3
#6Carlos Febles'98-'03 * career totals — 5 seasons, 1,892 PA	2.8	1,892	24	68	239*	316*	342*	+6	-4	0.5	0.5
/162	664	8	24	+2.2	-1.5	0.2	pk7: 0

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
Dylan Palmer (OGILVIE)	23	55→60	29→34	64→69	53	240/302/318	78	305	1	6	21%	8%	78	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kyle Mottice 2019 · A	23	49	35→30	58→55	54	226/330/288	62	269	2	18	15%	9%	84	+0.1	231/325/290	59	283	2	18	17%	8%	82	-0.0	240/333/283	43	295	0	25	16%	7%	79	-0.1
✕Nate Furman 2024 · A	23	51→56	34→40	57→55	56	232/325/284	52	281	1	24	17%	10%	80	-0.1	256/335/354	98	305	9	18	18%	9%	99	+1.2	273/347/381	108	317	11	17	16%	9%	106	+0.9
✕Hak-Ju Lee 2014 · AAA	23	54→59	39→40	60→55	47	252/309/349	97	323	5	27	22%	7%	87	+0.4	213/271/293	80	303	6	20	29%	7%	61	-1.5	201/259/269	69	292	5	20	31%	7%	48	-1.2
✕Evan Frey 2009 · A	23	56→59	37→40	56→55	50	260/320/342	82	319	4	19	19%	8%	89	+0.5	250/310/320	70	311	2	22	18%	7%	80	-0.1	246/309/311	64	308	1	24	19%	8%	76	-0.4
✕Jose Constanza 2007 · A	23	55→64	37→40	58→60	51	257/325/335	78	331	3	22	22%	9%	90	+0.6	255/305/319	64	319	2	27	19%	7%	78	-0.3	288/334/346	58	335	2	37	14%	6%	91	+0.6
✕Jace Peterson 2013 · A	23	53→57	37→50	60→55	52	247/312/333	86	296	3	27	17%	8%	84	+0.2	251/316/352	101	306	6	23	18%	8%	91	+0.6	239/315/386	147	295	14	19	23%	9%	98	+0.8
✕Joshua Howard 2006 · A	23	50	36→40	57→60	44	234/285/311	76	302	2	18	22%	6%	70	-0.9	226/300/291	65	315	3	20	26%	9%	71	-0.8	220/303/270	50	311	2	23	27%	10%	65	-0.6
✕Jacob Young 2023 · A	24	48→57	36→40	62→60	47	224/291/290	66	287	3	28	22%	7%	68	-1.0	246/305/325	79	305	4	32	19%	6%	80	-0.1	242/306/331	89	291	7	29	18%	7%	83	+0.1
✕Logan Watkins 2013 · AA	23	52→54	40→45	57→55	48	244/310/345	101	314	6	17	23%	8%	87	+0.4	223/282/320	97	298	7	18	26%	7%	71	-0.8	221/277/290	70	283	3	17	22%	6%	60	-0.7
✕Garrett Hampson 2018 · A	23	53→57	38→45	59→60	47	252/301/339	87	309	5	28	20%	6%	82	-0.0	247/300/356	109	317	9	27	23%	7%	85	+0.2	244/299/360	116	315	10	29	25%	7%	85	+0.2
✕Kyle Wren 2014 · A	23	55→62	41→40	62→60	46	265/304/372	107	306	6	32	16%	5%	90	+0.6	257/302/323	66	318	2	30	18%	6%	78	-0.3	254/314/331	77	325	3	25	21%	8%	82	-0.0
✕Thomas Coyle 2014 · A	23	50→51	40	58→55	53	234/310/335	101	292	6	21	21%	10%	84	+0.2	210/277/301	91	291	6	20	28%	8%	65	-1.2	193/260/279	86	274	6	22	30%	8%	51	-1.4
✕Andrew Stevenson 2017 · AA	23	53→60	37→50	57→60	43	248/287/327	80	312	3	25	21%	5%	73	-0.6	241/288/321	80	328	5	16	26%	6%	73	-0.6	256/304/379	123	349	10	21	28%	5%	90	+0.4
✕Hoy Park 2018 · A	22	44→52	39→45	58→55	46	208/280/301	93	279	6	17	26%	8%	66	-1.1	228/306/313	85	303	5	16	24%	9%	78	-0.3	234/324/332	98	306	8	17	24%	11%	88	+0.3
✕Donnie Dewees 2017 · A	23	48→50	40→45	61→50	41	230/272/333	103	290	5	17	22%	5%	70	-0.9	220/268/329	109	269	8	14	21%	5%	68	-1.0	213/264/327	114	253	10	13	20%	6%	63	-1.1
✕Ryan Rogowski 2007 · A	23	48→46	40	59→55	52	227/298/329	101	275	6	19	19%	8%	79	-0.2	218/286/306	88	272	4	26	20%	8%	70	-0.9	213/284/298	85	264	4	31	19%	8%	65	-1.0
✕Davis Bradshaw 2019 · A	21	52	37→40	59→50	45	244/299/321	78	309	3	20	21%	6%	77	-0.3	225/271/288	63	293	2	11	23%	4%	59	-1.7	271/323/338	67	341	3	10	20%	5%	87	+0.2
✕Josh Anderson 2006 · AA	23	55→63	36→40	60	42	257/292/329	72	309	2	33	18%	4%	76	-0.4	273/308/345	72	323	3	32	16%	4%	85	+0.2	284/319/355	72	333	3	35	15%	4%	89	+0.6
✕Zack Granite 2017 · AA	24	54→61	36→40	59→60	48	253/298/324	71	290	3	30	14%	6%	77	-0.3	250/294/327	77	282	4	24	12%	6%	76	-0.4	247/289/316	70	276	4	22	12%	5%	69	-0.7
✕Leon Johnson 2008 · A	23	48	40	58→60	50	227/300/324	96	299	6	22	24%	9%	78	-0.3	217/281/294	77	280	5	17	23%	7%	65	-1.2	198/260/219	21	246	0	22	18%	6%	36	-0.7

Dylan Palmer

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps