Rashawn Pinder — OGILVIE

Rashawn PinderCF ACL Rangers

Age 19 L/L 5'8" / 145 lbs ROK HR +15%BB +5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION109 act + 15 ros · stats below = ROS only

showingROS

wRC+†57

AVG/OBP/SLG.143 / .200 / .143

PA15

HR0

K%27

BB%7

BABIP268

ISO82

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 35 / POW 25

Toolsscout grade

CONTACT35

scouting grade only

POWER25

scouting grade only

EYE25

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$1M	—	—	—
2036	Arb-2	$1M	—	—	—
2037	Arb-3	$1.0M	—	—	—
Totals		$0.0M		$0.4M	+$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)
2024	17	ROK	DSL Rangers Red	—	270	221	60	10	4	3	36	58	9	22	3	271	395	394	788	122	350	21	13	356	127	+9	+3	—	—	+6	1.8
2025	18	ROK	ACL Rangers	—	209	185	47	6	5	2	16	59	5	7	5	254	329	373	701	119	360	28	8	314	98	-0	-1	—	—	+5	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Rangers Red	—	270	234	41	6	2	2	23	86	9	22	3	175	274	244	518	68	254	32	9	234	45	-18	+3	—	—	+6	-0.9
2025	18	ROK MLE	ACL Rangers	—	209	193	32	4	3	1	9	87	5	7	5	166	222	233	455	67	282	42	4	200	22	-20	-1	—	—	+5	-1.6
2024	17	ROK MLE	DSL Rangers Red	—	270	234	41	6	2	2	23	86	9	22	3	175	274	244	518	68	262	32	9	234	45	—	—	—	—	—	—
2024	17	ROK RAW	DSL Rangers Red	—	270	221	60	10	4	3	36	58	9	22	3	271	395	394	788	122	350	21	13	356	45	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rangers	—	209	193	32	4	3	1	9	87	5	7	5	166	222	233	455	67	292	42	4	200	22	—	—	—	—	—	—
2025	18	ROK RAW	ACL Rangers	—	209	185	47	6	5	2	16	59	5	7	5	254	329	373	701	119	360	28	8	314	22	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rangers Red	—	270	236	41	6	2	2	23	86	9	22	3	174	274	242	516	68	254	32	9	234	45	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rangers	—	209	193	32	4	3	1	9	87	5	7	5	166	222	233	455	67	282	42	4	200	22	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Rangers Red	—	270	236	41	6	2	2	23	86	9	22	3	174	274	242	516	68	254	32	9	234	45	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rangers	—	209	193	32	4	3	1	9	87	5	7	5	166	222	233	455	67	282	42	4	200	22	—	—	—	—	—	—
YTD	19	ROK MLE	TEX	—	109	93	17	2	0	4	11	39	2	10	4	183	283	333	616	151	250	36	10	268	68	-4	+0	+0	+0	+2	-0.1
▸ 2026 season
YTD	19	ROK RAW	TEX	—	109	86	21	3	0	5	18	27	2	10	4	244	387	453	840	209	286	25	17	367	68	—	—	—	—	—	—
ROS	19	ROK MLE	TEX	0%	15	14	2	0	0	0	1	4	0	1	0	143	200	143	343		266	27	7	253	57	-1	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	TEX	—	124	107	19	2	0	4	12	43	2	11	4	178	273	308	581	131	242	35	10	266	66	-5	+1	+0	+0	+3	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	TEX	34%	258	233	48	9	1	4	19	70	4	5	2	206	277	305	582	99	272	27	7	267	67	-10	+0	+0	+1	+6	-0.4
2028	21	MLB MLE	TEX	48%	377	340	72	13	2	7	28	100	6	7	2	212	283	324	607	112	274	27	7	276	73	-12	+1	+0	+1	+8	-0.2
2029	22	MLB MLE	TEX	54%	463	418	90	16	3	10	35	121	7	8	3	215	287	340	627	124	276	26	8	281	76	-13	+0	+0	+2	+10	-0.1
2030	23	MLB MLE	TEX	57%	519	467	101	18	3	11	39	134	8	9	3	216	288	338	626	122	277	26	8	285	79	-13	+1	+0	+2	+11	0.1
2031	24	MLB MLE	TEX	57%	555	500	109	20	3	12	42	143	8	9	3	218	289	342	631	124	278	26	8	286	80	-13	+1	+0	+2	+12	0.1
2032	25	MLB MLE	TEX	57%	577	519	113	20	3	13	44	148	9	10	3	218	290	343	633	125	278	26	8	287	81	-13	+1	+0	+2	+13	0.2
2033	26	MLB MLE	TEX	56%	588	529	116	21	3	13	45	151	9	10	3	219	292	344	636	125	278	26	8	288	81	-13	+1	+0	+2	+13	0.2
2034	27	MLB MLE	TEX	55%	590	530	117	21	3	14	46	152	9	10	3	221	294	351	645	130	278	26	8	288	81	-13	+1	+0	+2	+13	0.2
2035	28	MLB MLE	TEX	59%	587	527	115	21	3	13	46	152	9	9	3	218	292	343	636	125	277	26	8	287	80	-14	+1	-1	+2	+13	0.1
2036	29	MLB MLE	TEX	56%	578	518	112	20	3	13	46	151	9	9	3	216	291	342	633	125	277	26	8	285	79	-14	+1	-1	+2	+13	-0.0
2037	30	MLB MLE	TEX	59%	568	510	110	20	3	12	45	150	8	8	3	216	290	337	627	122	276	26	8	283	78	-15	+0	-2	+2	+12	-0.3
2027	20	MLB CTX	TEX	34%	89	82	17	3	0	2	6	24	1	2	1	207	270	317	587	110	274	27	7	260	67	-4	+0	+0	+0	+2	-0.1
2028	21	MLB CTX	TEX	48%	183	164	35	6	1	4	14	49	3	3	1	213	287	335	623	122	276	27	8	269	73	-6	+0	+0	+1	+4	-0.1
2029	22	MLB CTX	TEX	54%	251	226	49	9	1	6	19	66	4	5	1	217	289	345	634	128	278	26	8	274	76	-7	+1	+0	+1	+5	-0.0
2030	23	MLB CTX	TEX	57%	294	266	58	10	2	7	22	76	4	5	2	218	288	350	637	132	279	26	7	278	79	-7	+0	+0	+1	+6	0.0
2031	24	MLB CTX	TEX	57%	314	282	63	11	2	8	24	81	5	5	2	223	296	362	658	138	280	26	8	280	80	-7	+0	+0	+1	+7	0.1
2032	25	MLB CTX	TEX	57%	326	293	66	12	2	8	25	84	5	5	2	225	297	362	659	137	280	26	8	281	81	-8	+0	+0	+1	+7	0.1
2033	26	MLB CTX	TEX	56%	332	298	67	12	2	8	26	85	5	5	2	225	298	359	657	134	280	26	8	281	81	-8	+0	+0	+1	+7	0.1
2034	27	MLB CTX	TEX	55%	327	293	66	12	2	8	26	84	5	5	2	225	299	362	661	137	280	26	8	281	81	-7	+0	+0	+1	+7	0.1
2035	28	MLB CTX	TEX	59%	347	312	68	12	2	8	27	90	5	5	2	218	291	346	637	128	280	26	8	281	80	-8	+0	-0	+1	+8	0.0
2036	29	MLB CTX	TEX	56%	323	289	64	11	2	8	26	84	5	5	2	221	297	356	653	135	279	26	8	279	79	-8	+0	-1	+1	+7	-0.0
2037	30	MLB CTX	TEX	59%	334	299	66	12	2	8	27	88	5	5	2	221	296	355	651	134	278	26	8	276	78	-9	+0	-1	+1	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3120	2804	619	110	18	75	242	811	47	50	19	221	294	353	647	132	281	26	8	278	75	-79	+2	-2	+11	+68	-0.0
/ 162G	—	A+C		—	650	584	130	23	4	16	50	169	10	10	4	223	295	358	653	135	283	26	8	278	75	-16	+0	-1	+2	+14	-0.0
Career	—	MLE		—	6154	5532	1178	209	35	125	468	1649	100	124	39	213	286	331	617	118	278	27	8	279	75	-146	+7	-4	+20	+123	-0.0
/ 162G	—	MLE		—	650	584	124	22	4	13	49	174	11	13	4	212	285	330	616	118	278	27	8	279	75	-17	+1	-0	+2	+14	-0.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#2Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	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
#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
#5Ryan 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 7 projected seasons	5.0	3,297	70	55	217	286	340	+12	+18	1.8	1.9
/162	664	14	11	+2.4	+3.5	0.4	pk7: 2
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	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
Rashawn Pinder (OGILVIE)	19	35	25	45	25	195/262/286	91	266	2	6	28%	7%	57	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Vicmal De La Cruz 2013 · A	19	42	39→40	49→50	43	201/264/291	89	282	5	8	29%	7%	57	-1.8	183/238/255	72	271	4	6	32%	6%	40	-3.1	149/204/202	52	220	3	3	32%	5%	13	-1.4
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Michael De La Cruz 2016 · A	20	41	36→40	45→50	44	192/261/262	70	277	4	9	30%	8%	50	-2.3	192/257/257	65	308	3	10	35%	8%	47	-2.5	156/232/188	31	269	0	14	38%	9%	20	-1.5
✕Oswal Leones 2021 · A	20	41	36→30	46→50	46	196/259/262	66	262	4	12	25%	7%	49	-2.4	198/260/265	67	297	3	8	31%	7%	50	-2.3	180/247/237	57	275	2	9	33%	7%	36	-1.1
✕Freizer Pedron 2006 · A	19	43	39→40	46→55	39	208/261/291	83	302	7	12	32%	6%	57	-1.8	222/284/296	74	295	3	15	24%	6%	66	-1.1	240/304/313	72	307	1	23	20%	6%	75	-0.2
✕Carlos Soler 2018 · A	18	39	37→45	46→45	39	187/248/267	80	274	3	8	31%	6%	47	-2.6	216/272/305	89	319	3	8	31%	6%	63	-1.3	238/290/344	106	352	2	8	31%	5%	76	-0.2
✕Herman Armas 2006 · A	19	37	36→45	41→50	44	179/250/243	64	257	4	7	30%	8%	42	-2.9	210/278/316	106	287	9	10	28%	7%	70	-0.9	212/283/329	117	282	11	12	27%	7%	72	-0.3
✕Juan Mosquera 2007 · A	19	38	35→30	49→55	44	180/246/238	57	263	3	15	31%	8%	38	-3.2	201/290/246	45	281	1	14	26%	10%	58	-1.7	210/308/237	27	280	0	17	22%	11%	61	-0.5
✕Miguel Arrendell 2007 · A	19	40	37→30	45→50	39	186/256/255	70	294	4	6	36%	7%	47	-2.5	198/289/259	61	253	3	9	21%	10%	61	-1.5	193/300/246	54	245	3	12	20%	12%	61	-0.5
✕Sergio Burruel 2010 · A	19	45	37→30	45→30	43	213/264/286	73	284	3	6	25%	6%	56	-1.9	204/271/265	61	298	3	4	30%	8%	55	-2.0	242/305/311	69	297	6	1	19%	7%	75	-0.2
✕Leandro Pineda 2021 · A	19	37→47	36→45	44→45	43	180/244/238	58	245	3	6	27%	6%	38	-3.2	177/256/265	88	271	6	6	34%	8%	50	-2.3	210/283/339	129	268	13	5	26%	7%	74	-0.4
✕Shane Mardirosian 2015 · A	19	37→40	35→40	47→45	42	176/238/240	64	244	2	9	27%	6%	36	-3.3	198/247/271	73	276	4	10	28%	5%	47	-2.6	196/246/267	70	274	4	9	28%	5%	43	-1.3
✕Jose Cordoba 2022 · A	19	40	40	46→55	38	195/253/280	85	273	7	8	30%	5%	51	-2.2	200/258/297	97	283	8	10	31%	6%	57	-1.8	204/262/298	94	272	5	15	25%	6%	56	-0.8
✕Nicoll Parra 2012 · A	18	39	36→30	44→55	45	183/264/252	70	275	4	8	32%	8%	50	-2.3	197/307/251	54	268	1	18	24%	12%	67	-1.1	186/321/224	38	254	0	27	22%	14%	65	-0.4
✕Darrien Miller 2021 · A	20	42→41	36→45	47→45	43	198/272/267	70	271	3	8	27%	6%	56	-1.9	199/300/314	115	273	13	6	30%	9%	79	-0.2	175/316/278	103	239	9	4	27%	12%	76	-0.2
✕Luis Barrera 2015 · A	19	35→45	40→45	49→50	44	177/241/269	92	232	7	7	27%	7%	45	-2.7	205/249/284	79	288	4	8	29%	5%	50	-2.3	247/292/355	108	317	4	17	23%	5%	79	-0.1
✕Luis Valenzuela 2013 · A	19	42	38→45	52→45	44	198/258/283	84	268	4	6	26%	7%	53	-2.1	213/253/294	81	276	5	8	23%	5%	53	-2.1	262/284/362	100	318	5	7	19%	2%	77	-0.1
✕Lean Marrero 2017 · A	19	42	39→30	48→50	40	205/244/293	87	264	7	11	25%	5%	50	-2.3	211/257/287	76	280	5	9	25%	5%	53	-2.1	216/264/273	58	285	4	11	25%	5%	49	-0.8
✕Oliver Carmona 2017 · A	19	41	35→40	48→50	47	190/253/249	58	238	2	10	20%	7%	44	-2.8	210/279/286	76	266	5	11	21%	8%	62	-1.4	211/288/283	72	260	5	13	20%	9%	68	-0.5
✕Jeremy Arocho 2018 · A	19	43→45	38→30	53→60	41	203/260/286	83	285	4	12	29%	6%	55	-2.0	223/283/291	68	291	2	11	22%	7%	64	-1.3	223/334/268	45	305	1	34	23%	14%	77	-0.2

Career Stats + Projections

Career Comps

Career Path Comps