Dylan Palmer — OGILVIE

Dylan Palmer2B Greensboro Grasshoppers

Age 22 L/R 5'7" / 170 lbs A+ HR -15%K -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION459 act + 9 ros · stats below = ROS only

showingROS

wRC+†86

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

PA9

HR0

K%22

BB%11

BABIP317

ISO91

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$40M ctrl surplus

Tools · ContractCON 58 / POW 34

Toolsscout grade

CONTACT58

scouting grade only

POWER34

scouting grade only

EYE55

scouting grade only

SPEED69

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	+1.1	$6M	+$6M
2031	Pre-Arb	$0.9M	+1.1	$6M	+$5M
2032	Pre-Arb	$0.9M	+1.0	$5M	+$5M
2033	Arb-1	$3M	+0.8	$2M	+$0.3M
2034	Arb-2	$5M	+0.7	$2M	+$0.0M (cut)
2035	Arb-3	$5M	+0.5	$1M	+$0.0M (cut)
Totals		$6M		$22M	+$16M

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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	22	A+ MLE	PIT	—	459	412	110	13	6	1	38	94	2	43	18	267	332	335	667	68	340	20	8	293	84	-8	+1	+0	+2	+10	0.5
▸ 2026 season
YTD	22	A RAW	PIT	—	215	180	49	4	3	1	25	38	1	27	10	272	354	344	698	72	338	18	12	313	84	—	—	—	—	—	—
YTD	22	A+ RAW	PIT	—	244	204	64	10	3	0	29	30	1	16	8	314	392	392	784	78	362	12	12	348	84	—	—	—	—	—	—
ROS	22	A+ MLE	PIT	0%	9	8	2	0	0	0	1	2	0	1	0	250	333	250	583		318	22	11	295	86	-0	+0	+0	+0	+0	0.0
TOT	22	A+ MLE	PIT	—	468	420	112	13	6	1	39	96	2	44	18	267	332	333	665	67	339	21	8	293	84	-9	+2	+0	+2	+10	0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	PIT	43%	496	449	114	18	4	5	41	103	3	20	8	254	320	345	666	91	316	21	8	300	89	-6	+1	+0	+2	+11	0.7
2028	24	MLB MLE	PIT	58%	535	481	123	19	5	7	45	111	4	22	9	256	325	360	684	104	315	21	8	307	94	-4	+1	+0	+2	+12	1.1
2029	25	MLB MLE	PIT	65%	578	520	134	21	5	9	49	119	4	24	9	258	326	369	696	112	314	21	8	311	97	-2	+1	+0	+2	+13	1.4
2030	26	MLB MLE	PIT	68%	624	562	144	23	5	10	53	129	4	25	10	256	325	368	693	112	314	21	8	313	98	-1	+1	+0	+2	+14	1.6
2031	27	MLB MLE	PIT	68%	629	566	145	23	5	10	54	130	4	26	10	256	325	367	693	111	314	21	9	313	98	-1	+1	+0	+2	+14	1.6
2032	28	MLB MLE	PIT	68%	626	562	143	22	5	10	55	131	4	24	10	254	325	365	690	110	313	21	9	312	97	-2	+1	-1	+2	+14	1.4
2033	29	MLB MLE	PIT	66%	617	554	141	22	5	10	54	130	4	22	9	255	325	366	692	112	313	21	9	310	96	-3	+1	-1	+2	+13	1.2
2034	30	MLB MLE	PIT	66%	607	545	137	21	5	9	53	129	4	20	8	251	322	358	680	106	312	21	9	307	94	-4	+1	-2	+2	+13	1.0
2035	31	MLB MLE	PIT	65%	594	533	132	20	4	9	52	129	4	17	7	248	319	351	670	103	309	22	9	303	91	-6	+1	-3	+2	+13	0.7
2036	32	MLB MLE	PIT	65%	576	517	127	19	4	8	50	127	4	13	5	246	317	344	661	99	306	22	9	298	88	-8	+1	-4	+2	+12	0.3
2037	33	MLB MLE	PIT	65%	546	491	118	17	4	7	47	123	3	10	4	240	311	334	645	94	303	23	9	291	83	-11	+0	-4	+2	+12	-0.1
2027	23	MLB CTX	PIT	43%	215	194	49	8	2	2	18	45	1	9	3	253	319	345	665	93	314	21	8	293	89	-3	+1	+0	+1	+5	0.3
2028	24	MLB CTX	PIT	58%	310	279	71	11	3	4	26	64	2	13	5	254	322	358	681	104	313	21	8	299	94	-2	+1	+0	+1	+7	0.6
2029	25	MLB CTX	PIT	65%	375	337	86	14	3	5	32	77	3	15	6	255	325	359	684	104	312	21	9	303	97	-2	+1	+0	+1	+8	0.9
2030	26	MLB CTX	PIT	68%	425	383	98	15	4	7	36	88	3	17	7	256	325	371	695	115	312	21	8	304	98	-1	+1	+0	+2	+9	1.1
2031	27	MLB CTX	PIT	68%	428	385	98	15	4	7	37	89	3	17	7	255	325	369	694	114	311	21	9	304	98	-1	+1	+0	+2	+9	1.1
2032	28	MLB CTX	PIT	68%	426	383	96	15	3	6	37	89	3	17	7	251	322	352	674	102	311	21	9	303	97	-1	+1	-0	+2	+9	1.0
2033	29	MLB CTX	PIT	66%	410	368	92	14	3	6	36	86	3	15	6	250	322	353	675	103	310	21	9	302	96	-2	+1	-1	+1	+9	0.8
2034	30	MLB CTX	PIT	66%	398	357	90	14	3	6	35	85	3	13	5	252	324	359	683	106	309	21	9	299	94	-3	+1	-1	+1	+9	0.7
2035	31	MLB CTX	PIT	65%	386	346	85	13	3	5	34	84	3	11	4	246	319	344	662	98	307	22	9	295	91	-4	+1	-2	+1	+8	0.5
2036	32	MLB CTX	PIT	65%	373	335	82	12	3	5	33	82	2	9	3	245	316	343	659	99	305	22	9	290	88	-5	+1	-2	+1	+8	0.2
2037	33	MLB CTX	PIT	65%	352	316	76	11	3	4	31	79	2	6	3	241	312	332	645	92	301	22	9	284	83	-7	+0	-3	+1	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4098	3683	923	142	34	57	355	868	28	142	56	251	321	354	675	103	312	21	9	298	93	-31	+6	-10	+15	+89	7.0
/ 162G	—	A+C		—	650	584	146	23	5	9	56	138	4	23	9	250	319	353	672	103	311	21	9	298	93	-5	+1	-2	+2	+14	1.1
Career	—	MLE		—	6437	5788	1460	225	51	94	554	1363	42	224	89	252	322	357	680	105	313	21	9	306	93	-50	+9	-15	+23	+139	10.9
/ 162G	—	MLE		—	650	584	147	23	5	9	56	138	4	23	9	252	321	354	675	103	314	21	9	306	93	-5	+1	-1	+2	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Felipe Lopezlast yr '11 career totals — 11 seasons, 4,864 PA	7.3	4,864	90	124	264	333	391	+31	-19	17.7	18.1
/162	664	12	17	+4.2	-2.6	2.4	pk7: 19
#2Kolten Wonglast yr '23 career totals — 11 seasons, 4,283 PA	6.5	4,283	86	120	256	330	390	+15	+21	18.4	17.8
/162	664	13	19	+2.4	+3.2	2.8	pk7: 17
#3Jonathan Villarlast yr '22 career totals — 10 seasons, 3,934 PA	5.9	3,934	101	239	255	322	397	+24	-40	12.8	13.9
/162	664	17	40	+4.0	-6.8	2.2	pk7: 15
#4Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
#5Kazuo 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	6.2	4,099	60	142	253	320	360	+15	+7	9.9	9.0
/162	664	10	23	+2.4	+1.1	1.6	pk7: 8
#6Desmond 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

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)	22	53→58	29→34	64→69	55	250/316/329	79	318	2	20	21%	8%	86	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
●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
✕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
✕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
●Garin Cecchini 2013 · A	22	53→63	39→45	59→55	45	250/306/346	96	325	5	27	24%	7%	85	+0.2	248/313/347	99	326	6	16	24%	8%	88	+0.5	238/304/329	91	314	6	13	24%	8%	78	-0.2
●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
✕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
✕Davis Bradshaw 2019 · A	21	52	37→40	59→50	45	244/300/322	78	309	3	20	21%	6%	78	-0.3	225/271/287	62	293	2	11	23%	4%	59	-1.7	271/324/338	67	344	3	10	21%	5%	87	+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
✕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
✕Hoy Park 2018 · A	22	43→49	39→45	58→55	46	205/275/296	91	274	6	17	26%	8%	63	-1.3	223/300/306	83	296	5	16	24%	9%	75	-0.5	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Nick Shaw 2011 · A	22	50→57	36→40	57→45	51	230/312/313	83	310	2	13	24%	9%	81	-0.1	223/297/291	68	287	2	7	21%	9%	70	-0.8	227/306/274	46	298	0	7	21%	9%	68	-0.5
✕Pedro Ogando 2016 · A	22	54	36→40	57→60	40	250/289/325	74	336	3	22	26%	5%	74	-0.6	223/270/294	71	285	3	19	21%	5%	59	-1.6	205/269/256	51	247	0	26	16%	7%	49	-0.7
✕Saige Jenco 2017 · A	22	52	38→40	60→50	47	243/303/334	91	319	4	21	24%	8%	81	-0.1	214/287/300	86	312	4	13	30%	9%	68	-1.0	196/279/277	80	293	3	12	31%	10%	57	-0.8
✕Hak-Ju Lee 2013 · AA	22	52→57	38→40	59→55	45	244/296/331	87	313	4	24	22%	6%	78	-0.3	219/276/299	80	299	5	23	26%	7%	63	-1.3	193/250/256	63	281	5	20	31%	6%	41	-1.5
✕Kelby Tomlinson 2012 · A	22	49→59	40	56→60	44	236/285/341	105	298	6	13	22%	6%	76	-0.4	219/275/277	58	298	2	21	25%	7%	57	-1.8	279/337/345	67	339	3	24	17%	7%	93	+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	250/316/352	102	305	6	23	18%	8%	91	+0.6	238/316/380	142	295	14	19	23%	10%	95	+0.6
✕Joshua Howard 2006 · A	23	51	36→40	57→60	44	236/288/314	77	305	2	18	22%	6%	71	-0.8	226/300/291	65	315	3	20	26%	9%	71	-0.8	219/301/270	50	309	2	23	27%	10%	64	-0.6
●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

Career Stats + Projections

Career Comps

Career Path Comps