Jimmy Glowenke — OGILVIE

Jimmy GlowenkeSS Richmond Flying Squirrels

Age 27 R/R 5'10" / 200 lbs AA HR -15%H -3% Svc 0.0 · Ctrl thru 2034

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 250 proj PA

wRC+†68

AVG/OBP/SLG.202 / .278 / .303

PA20

HR0

K%26

BB%6

ISO102

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 41 / POW 37

Toolsscout grade

CONTACT41

scouting grade only

POWER37

scouting grade only

EYE42

scouting grade only

SPEED46

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.3M	+$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)
2021	22	A	San Jose Giants	—	425	360	92	25	2	13	49	100	15	3	3	256	368	444	812	189	319	24	12	364	132	+16	-1	—	—	+9	2.6
2022	23	A+	Eugene Emeralds	—	282	250	53	14	0	12	23	88	9	0	0	212	301	412	713	200	273	31	8	319	102	+1	+0	—	—	+6	0.7
2022	23	ROK	ACL Giants Orange	—	26	23	6	1	0	0	2	5	1	0	0	261	346	304	651	43	333	19	8	305	93	-0	+0	—	—	+1	0.0
2023	24	AA	Richmond Flying Squirrels	—	289	247	62	13	0	7	32	61	8	6	0	251	355	389	744	138	307	21	11	337	114	+5	+1	—	—	+6	1.3
2023	24	A+	Eugene Emeralds	—	105	83	26	10	0	3	13	15	4	0	0	313	430	542	972	229	333	14	12	408	162	+8	+0	—	—	+2	1.0
2024	25	AA	Richmond Flying Squirrels	—	392	337	67	16	0	7	32	88	18	5	2	199	302	309	611	110	245	22	8	282	77	-11	+0	—	—	+8	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	22	A MLE	San Jose Giants	—	425	381	76	19	2	10	28	142	15	3	3	199	281	339	619	139	275	33	7	264	65	-18	-1	—	—	+9	-0.9
2022	23	A+ MLE	Eugene Emeralds	—	282	258	39	10	0	8	15	120	9	0	0	151	223	283	506	132	228	43	5	215	32	-23	+0	—	—	+6	-1.7
2022	23	ROK MLE	ACL Giants Orange	—	26	24	5	1	0	0	1	7	1	0	0	208	269	250	519	42	271	27	4	219	34	-2	+0	—	—	+1	-0.1
2023	24	AA MLE	Richmond Flying Squirrels	—	289	256	58	11	0	6	23	75	8	6	0	227	310	340	650	113	290	26	8	284	78	-7	+1	—	—	+6	0.0
2023	24	A+ MLE	Eugene Emeralds	—	105	88	21	8	0	2	8	21	4	0	0	239	330	398	728	159	255	20	8	321	103	+0	+0	—	—	+2	0.3
2024	25	AA MLE	Richmond Flying Squirrels	—	392	347	57	12	0	5	22	105	18	5	2	164	251	242	493	78	209	27	6	223	37	-29	+0	—	—	+8	-2.1
2021	22	A MLE	San Jose Giants	—	425	381	76	19	2	10	28	142	15	3	3	199	281	339	619	139	287	33	7	264	65	—	—	—	—	—	—
2021	22	A RAW	San Jose Giants	—	425	360	92	25	2	13	49	100	15	3	3	256	368	444	812	189	319	24	12	364	65	—	—	—	—	—	—
2022	23	A+ MLE	2 teams	—	308	282	43	10	0	8	16	127	10	0	0	152	224	273	497	121	238	41	5	215	32	—	—	—	—	—	—
2022	23	A+ RAW	2 teams	—	308	273	59	15	0	12	25	93	10	0	0	216	305	403	708	187	280	30	8	318	32	—	—	—	—	—	—
2023	24	AA MLE	2 teams	—	394	344	79	19	0	8	31	95	12	6	0	230	315	355	670	125	290	24	8	294	85	—	—	—	—	—	—
2023	24	AA RAW	2 teams	—	394	330	88	23	0	10	45	76	12	6	0	267	375	427	802	161	315	19	11	356	85	—	—	—	—	—	—
2024	25	AA MLE	Richmond Flying Squirrels	—	392	347	57	12	0	5	22	105	18	5	2	164	251	242	493	78	217	27	6	223	37	—	—	—	—	—	—
2024	25	AA RAW	Richmond Flying Squirrels	—	392	337	67	16	0	7	32	88	18	5	2	199	302	309	611	110	245	22	8	282	37	—	—	—	—	—	—
2021	22	A MLE	San Jose Giants	—	425	379	76	19	2	10	28	142	15	3	3	201	281	340	621	140	275	33	7	264	65	—	—	—	—	—	—
2022	23	A+ MLE	2 teams	—	308	279	43	10	0	8	16	127	10	0	0	154	224	276	500	122	232	41	5	215	32	—	—	—	—	—	—
2023	24	AA MLE	2 teams	—	394	348	79	19	0	8	31	95	12	6	0	227	315	351	666	124	281	24	8	294	85	—	—	—	—	—	—
2024	25	AA MLE	Richmond Flying Squirrels	—	392	349	57	12	0	5	22	105	18	5	2	163	251	241	491	77	209	27	6	223	37	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	24	AA MLE	2 teams	—	394	348	79	19	0	8	31	95	12	6	0	227	315	351	666	124	281	24	8	294	85	—	—	—	—	—	—
2024	25	AA MLE	Richmond Flying Squirrels	—	392	349	57	12	0	5	22	105	18	5	2	163	251	241	491	77	209	27	6	223	37	—	—	—	—	—	—
▸ 2026 season
2026	27	MLB MLE	SF	2%	20	18	3	1	0	0	1	5	1	0	0	167	250	222	472	56	264	25	5	268	68	-1	+0	+0	+0	+0	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	28	MLB MLE	SF	27%	267	239	51	11	1	5	18	69	8	4	1	213	291	331	621	117	267	26	7	273	71	-9	+0	-1	+3	+6	-0.1
2028	29	MLB MLE	SF	37%	309	276	58	12	1	6	22	79	8	4	1	210	288	326	614	116	268	26	7	275	72	-10	+0	-1	+3	+7	-0.1
2029	30	MLB MLE	SF	43%	336	300	63	13	1	6	24	86	9	4	1	210	288	320	608	110	269	26	7	275	72	-11	+0	-2	+4	+7	-0.2
2027	28	MLB CTX	SF	27%	72	65	13	3	0	1	5	18	2	1	0	200	278	292	570	92	262	25	7	246	71	-2	+0	-0	+1	+2	-0.0
2028	29	MLB CTX	SF	37%	115	103	20	4	0	2	8	29	3	1	0	194	272	291	563	97	263	25	7	249	72	-4	+0	-1	+1	+2	-0.0
2029	30	MLB CTX	SF	43%	145	130	26	6	0	2	10	37	4	2	0	200	278	292	570	92	263	26	7	250	72	-5	+0	-1	+2	+3	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	332	298	59	13	0	5	23	84	9	4	0	198	276	292	568	94	256	25	7	249	62	-11	+1	-2	+4	+7	-0.1
/ 162G	—	A+C		—	650	583	115	25	0	10	45	164	18	8	0	197	276	292	567	94	254	25	7	249	62	-22	+2	-3	+7	+14	-0.2
Career	—	MLE		—	2451	2187	430	97	5	48	162	708	81	26	8	197	277	311	588	115	265	29	7	260	62	-31	+1	-4	+10	+20	-0.4
/ 162G	—	MLE		—	650	580	114	26	1	13	43	188	21	7	2	197	276	312	588	116	264	29	7	260	62	-22	+1	-3	+7	+14	-0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Adam 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
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#4Ryan 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
#5Nick 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.5	336	6	4	209	283	318	+4	+3	0.1	0.1
/162	664	12	8	+7.1	+5.9	0.3	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-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
Jimmy Glowenke (OGILVIE)	27	41	37	46	42	202/278/303	102	264	4	3	26%	6%	68	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dominic Miroglio 2022 · AA	27	42	44→45	43→40	43	210/274/328	118	283	11	5	29%	7%	70	-0.8	219/287/362	143	261	15	6	21%	8%	83	+0.1	203/270/374	171	212	20	2	16%	7%	76	-0.2
✕Stevie Berman 2022 · AA	27	42	42→45	49→40	49	204/282/305	101	251	9	6	22%	8%	69	-0.9	205/291/317	112	272	11	5	27%	9%	76	-0.4	186/284/295	109	248	12	1	28%	10%	67	-0.4
✕Gavin Collins 2022 · AAA	27	40	43→45	44→40	44	202/271/309	107	256	12	6	25%	7%	65	-1.2	215/285/332	117	272	13	6	25%	7%	76	-0.4	204/266/298	94	236	10	3	18%	6%	59	-0.6
✕Javi Herrera 2008 · AA	27	43	40	41→45	45	210/277/299	90	255	8	5	21%	6%	65	-1.2	211/295/302	91	272	7	8	23%	9%	73	-0.6	196/294/272	76	261	5	6	24%	10%	65	-0.4
✕Kyle Overstreet 2021 · AA	27	44→46	40	48→30	41	217/259/302	85	271	8	4	23%	5%	58	-1.7	221/285/305	84	302	7	6	27%	8%	69	-0.9	216/286/281	65	297	5	2	27%	9%	62	-1.0
✕Jake Kahaulelio 2012 · AA	27	43→44	42→45	45	45	211/274/318	108	255	9	6	21%	6%	68	-1.0	215/290/313	98	260	8	11	20%	7%	74	-0.6	196/305/245	49	231	0	23	13%	9%	63	-0.2
✕Corey Myers 2007 · AAA	27	44	39→40	43→45	45	212/266/294	82	268	8	5	23%	7%	59	-1.7	227/287/324	97	274	10	9	20%	7%	74	-0.6	227/288/296	69	264	7	7	16%	8%	68	-0.3
✕Arturo Rodriguez 2019 · AAA	27	45→43	42→45	47→30	44	222/268/324	102	272	11	6	23%	6%	67	-1.1	252/290/382	130	286	16	6	18%	4%	88	+0.5	270/300/393	123	298	18	2	16%	3%	91	+0.4
✕Julian Laurean 2011 · AAA	27	46	44→40	43→40	42	225/282/341	116	294	11	8	27%	6%	76	-0.4	227/286/333	106	282	9	7	22%	6%	76	-0.4	222/281/303	81	269	4	0	18%	6%	67	-0.4
✕Guillermo Quiroz 2009 · MLB	27	43	42→50	46→50	43	215/264/320	104	269	10	4	24%	6%	64	-1.3	219/263/333	114	278	11	3	24%	5%	67	-1.1	220/273/349	129	289	13	0	28%	6%	72	-0.4
✕Sharlon Schoop 2014 · AA	27	44	45→40	46→45	43	222/275/339	118	280	13	8	25%	6%	73	-0.6	210/256/289	79	273	6	4	24%	6%	54	-2.0	200/253/303	103	256	10	0	25%	6%	53	-0.7
✕Craig Tatum 2010 · MLB	27	43→47	42→45	42→30	41	211/257/311	100	269	10	3	25%	5%	59	-1.6	211/269/285	74	270	5	6	22%	7%	58	-1.7	209/273/247	38	267	0	4	20%	8%	49	-0.6
✕Pete Kozma 2015 · MLB	27	45→47	40	44→50	48	216/274/310	94	257	7	9	19%	7%	66	-1.1	197/255/266	69	248	5	11	22%	6%	49	-2.4	194/243/282	88	241	5	6	21%	5%	46	-1.7
✕Tres Barrera 2022 · MLB	27	44→43	42→45	45→40	48	214/288/313	99	269	9	4	24%	8%	72	-0.7	209/276/316	107	265	12	4	25%	7%	68	-1.0	187/252/275	88	238	11	1	26%	7%	47	-1.1
✕Cody Clark 2009 · AA	27	42	42→45	47→40	41	211/259/313	102	256	11	6	22%	4%	61	-1.5	224/271/345	121	260	12	5	19%	5%	73	-0.6	221/269/340	119	253	12	1	18%	5%	68	-0.4
✕Jesus Alberto Vega 2009 · AAA	27	40	43→45	41→40	42	203/254/313	110	257	11	5	26%	6%	59	-1.6	223/283/338	115	276	12	3	23%	6%	76	-0.4	221/280/350	129	265	16	2	23%	6%	75	-0.2
✕Spencer Kieboom 2018 · AAA	27	44	40	45→30	49	211/272/298	87	257	7	3	20%	8%	62	-1.4	210/274/294	84	260	7	4	21%	8%	62	-1.4	196/266/259	62	241	5	0	19%	8%	50	-0.8
✕Alex De Goti 2022 · AAA	27	43→48	42→45	51→50	44	208/272/316	108	281	8	8	28%	7%	67	-1.1	202/279/294	92	275	7	10	27%	9%	65	-1.2	192/275/269	77	260	6	10	26%	9%	55	-1.1
✕Chase Pinder 2022 · AA	26	40	43→45	44→45	46	198/281/301	102	271	11	5	30%	8%	68	-1.0	227/321/361	134	295	13	10	25%	11%	96	+1.0	222/324/360	138	289	14	11	26%	12%	95	+0.5
✕Jorge Flores 2019 · AAA	27	42→52	40→30	45→50	43	205/253/294	89	251	8	8	22%	5%	54	-2.0	244/326/326	82	296	7	13	19%	8%	90	+0.6	253/345/314	61	306	6	14	17%	8%	91	+0.5

Career Stats + Projections

Career Comps

Career Path Comps