Player 836589 — OGILVIE

Player 8365891B DSL Rangers Blue

Age — —/— ROK HR +15%BB +5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION222 act + 27 ros · stats below = ROS only

showingROS

wRC+†81

AVG/OBP/SLG.208 / .296 / .375

PA27

HR0

K%26

BB%7

BABIP263

ISO167

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 53 / POW 47

Toolsscout grade

CONTACT53

scouting grade only

POWER47

scouting grade only

EYE50

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	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	—	ROK MLE	TEX	—	222	186	35	5	1	6	18	46	13	3	0	188	304	323	627	134	209	21	8	274	72	-8	+1	+0	-4	+5	-0.6
▸ 2026 season
YTD	—	ROK RAW	TEX	—	222	175	44	7	1	8	29	32	13	3	0	251	396	440	836	189	257	14	13	371	72	—	—	—	—	—	—
ROS	—	ROK MLE	TEX	0%	27	24	5	1	0	1	2	7	1	0	0	208	296	375	671	167	261	26	7	288	81	-1	+0	+0	-0	+1	-0.1
TOT	—	ROK MLE	TEX	—	249	210	40	6	1	7	20	53	14	3	0	190	303	329	632	138	213	21	8	276	73	-8	+1	+0	-4	+5	-0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	TEX	0%	343	303	64	10	2	8	28	84	9	5	1	211	297	337	634	125	262	24	8	289	82	-7	+1	+0	-6	+7	-0.6
2028	25	MLB MLE	TEX	0%	426	377	80	13	2	11	35	104	11	6	2	212	298	345	643	133	264	24	8	292	84	-8	+0	+0	-8	+9	-0.6
2029	25	MLB MLE	TEX	0%	482	427	92	15	3	12	40	117	12	7	2	215	301	349	650	133	265	24	8	294	85	-9	+1	+0	-9	+10	-0.6
2030	25	MLB MLE	TEX	0%	521	460	100	17	3	13	43	126	13	8	2	217	302	352	654	135	266	24	8	295	86	-9	+1	+0	-9	+11	-0.6
2031	25	MLB MLE	TEX	0%	548	485	105	18	3	14	45	133	13	9	2	216	300	353	653	136	265	24	8	295	86	-9	+1	+0	-10	+12	-0.6
2032	25	MLB MLE	TEX	0%	568	502	109	18	3	15	47	138	14	9	2	217	302	355	657	137	265	24	8	295	86	-10	+1	+0	-10	+12	-0.7
2033	25	MLB MLE	TEX	0%	582	515	112	19	3	15	48	141	14	9	2	217	302	353	655	136	265	24	8	295	86	-10	+1	+0	-10	+13	-0.7
2034	25	MLB MLE	TEX	0%	593	525	113	19	3	15	49	144	14	10	2	215	299	349	648	133	264	24	8	295	86	-10	+1	+0	-11	+13	-0.7
2027	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	264	—	—	275	82	—	—	+0	-0	—	—
2028	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	266	—	—	279	84	—	—	+0	-0	—	—
2029	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	267	—	—	281	85	—	—	+0	-0	—	—
2030	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	268	—	—	282	86	—	—	+0	-0	—	—
2031	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	268	—	—	282	86	—	—	+0	-0	—	—
2032	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	267	—	—	282	86	—	—	+0	-0	—	—
2033	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	267	—	—	282	86	—	—	+0	-0	—	—
2034	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	267	—	—	282	86	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	4090	3618	780	130	22	104	337	994	101	63	15	216	300	350	650	134	266	24	8	294	85	-72	+7	+0	-73	+89	-5.1
/ 162G	—	MLE		—	650	575	124	21	3	17	54	158	16	10	2	216	301	351	652	136	266	24	8	294	85	-11	+1	+0	-12	+14	-0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Kole 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
#2Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#3Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#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
#5Nate Schierholtzlast yr '14 career totals — 8 seasons, 2,275 PA	3.4	2,275	52	30	253	302	405	-24	-6	2.0	2.8
/162	664	15	9	-7.1	-1.8	0.6	pk7: 4
#6Travis Sniderlast yr '15 career totals — 8 seasons, 1,971 PA	3.0	1,971	54	22	244	311	399	-21	-17	1.4	1.8
/162	664	18	7	-7.1	-5.8	0.5	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.6	4,383	110	67	217	298	351	-49	+0	0.5	0.6
/162	664	17	10	-7.5	+0.0	0.1	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
Player 836589 (OGILVIE)	25	53	47	45	50	207/298/329	122	261	7	4	25%	8%	81	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Troy Johnston 2022 · A	25	48→57	45→50	48→55	47	237/307/360	123	309	13	6	26%	8%	90	+0.6	235/299/371	136	294	14	11	24%	7%	90	+0.6	236/297/382	147	286	15	23	22%	6%	88	+0.4
✕Jantzen Witte 2015 · A	25	50→54	44→45	47→45	44	243/296/375	131	313	10	5	25%	6%	88	+0.5	243/298/347	104	300	6	6	20%	6%	83	+0.1	244/294/361	116	313	12	6	25%	6%	82	+0.0
✕Shane Hoelscher 2017 · A	25	47→51	45	47→45	40	230/282/354	124	306	12	9	28%	6%	79	-0.2	219/266/320	101	300	9	6	29%	5%	65	-1.2	209/252/287	78	281	7	2	27%	5%	49	-1.4
✕David Smith 2006 · A	25	50→51	48→55	46→45	44	247/296/390	143	305	15	6	24%	6%	93	+0.8	229/284/385	156	289	17	5	26%	6%	87	+0.4	222/284/385	163	280	18	4	27%	7%	84	+0.2
✕Issmael Salas 2007 · A	25	48→51	45→50	46→50	42	236/285/367	130	292	11	5	23%	5%	83	+0.1	246/291/343	97	275	8	8	13%	5%	79	-0.2	273/318/367	94	306	7	11	13%	5%	92	+0.4
✕Richard Racobaldo 2010 · A	25	50→48	44→45	49→50	45	245/299/362	117	302	11	9	22%	6%	87	+0.4	226/282/318	92	319	6	8	29%	7%	70	-0.8	219/278/301	82	318	4	6	30%	7%	63	-1.1
✕Grant Psomas 2007 · A	24	50	47→50	45	45	245/298/383	138	309	14	7	25%	7%	92	+0.7	203/267/341	138	277	14	7	30%	7%	71	-0.8	176/248/322	146	239	15	6	32%	8%	58	-1.1
✕Marty Costes 2021 · A	25	46→56	43→45	50	48	223/297/336	113	267	10	9	20%	7%	81	-0.1	246/327/353	107	315	8	14	23%	8%	96	+1.0	247/334/354	107	319	8	16	23%	8%	96	+0.5
✕Brett Harris 2022 · A	24	44→52	44→45	49→50	43	218/288/335	117	294	12	11	29%	7%	78	-0.3	241/313/376	135	292	15	10	22%	8%	96	+1.0	238/318/367	129	288	14	9	21%	8%	93	+0.6
✕Shane Selman 2022 · A	25	44	48→50	45	46	217/294/358	140	308	16	8	33%	9%	85	+0.2	202/269/344	142	300	17	7	36%	7%	73	-0.6	165/232/316	151	236	20	3	38%	6%	51	-1.1
✕Nick Baligod 2013 · A	25	48	44→40	49→45	46	233/291/350	117	290	11	7	23%	7%	81	-0.1	237/290/326	89	270	6	7	14%	6%	75	-0.5	240/293/317	77	268	5	6	12%	6%	71	-0.5
✕Jose Hernandez 2011 · A	25	45→44	46→45	41→30	45	225/291/353	128	280	14	4	25%	7%	82	+0.0	210/269/323	113	303	11	6	32%	6%	68	-1.0	139/185/219	80	246	5	0	44%	4%	11	-0.9
✕Jake Holton 2022 · A	24	49→50	46→50	45	46	233/321/373	140	321	13	4	29%	9%	99	+1.2	229/317/363	134	291	14	4	25%	9%	95	+1.0	227/316/360	133	283	15	3	24%	9%	91	+0.5
✕Alsander Womack 2023 · A	24	48→47	43→40	44→45	48	235/296/337	102	285	12	7	22%	8%	80	-0.1	223/287/304	81	281	8	9	22%	7%	70	-0.9	216/285/284	68	272	7	8	22%	7%	62	-0.8
✕Peter Clifford 2009 · A	25	45→47	45	46→45	47	221/295/355	134	302	11	8	29%	9%	84	+0.2	213/273/307	94	279	7	8	25%	7%	65	-1.2	209/249/277	68	252	6	9	19%	4%	47	-1.3
✕Spencer Packard 2023 · A	25	45→52	46→45	49→40	48	223/295/352	129	265	14	7	21%	7%	84	+0.2	241/316/361	120	285	12	3	19%	8%	94	+0.9	241/322/353	112	283	11	1	18%	9%	91	+0.6
✕Patrick Kivlehan 2014 · A	24	50→51	45→55	47→50	40	243/293/363	119	321	13	10	28%	6%	85	+0.2	230/277/370	140	301	15	10	28%	5%	81	-0.1	210/277/395	185	271	23	3	31%	7%	84	+0.1
✕Mike Ahmed 2017 · A	25	44→45	45→50	47→50	44	215/284/339	124	297	13	11	31%	8%	76	-0.4	211/272/327	116	317	12	9	35%	7%	70	-0.9	200/257/300	100	312	9	7	37%	6%	55	-0.7
✕Myron Leslie 2007 · A	25	47→56	46→45	44→40	50	232/301/360	128	280	14	4	22%	9%	88	+0.4	235/303/343	108	301	10	4	24%	9%	84	+0.2	234/301/336	102	303	9	4	24%	8%	79	-0.1
✕Steve Selsky 2014 · AA	25	48→52	46→45	50→45	41	235/294/368	133	304	14	9	27%	6%	87	+0.4	242/307/344	102	338	8	6	29%	7%	86	+0.3	249/317/346	97	354	7	4	29%	7%	89	+0.3

Career Stats + Projections

Career Comps

Career Path Comps