Graysen Tarlow — OGILVIE

Graysen TarlowC Springfield Cardinals

Age 25 R/R 5'10" / 190 lbs AA HR -14%BB -5% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION174 act + 19 ros · stats below = ROS only

showingROS

wRC+†61

AVG/OBP/SLG.176 / .263 / .235

PA19

HR0

K%26

BB%11

BABIP267

ISO59

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 32 / POW 34

Toolsscout grade

CONTACT32

scouting grade only

POWER34

scouting grade only

EYE51

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	+0.1	$0.3M	+$0.0M (cut)
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
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		$0.0M	+$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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2023	22	A	Palm Beach Cardinals	—	59	45	9	3	0	1	11	9	3	0	0	200	390	333	723	133	229	15	19	345	119	+1	+0	—	—	+1	0.3
2024	23	A+	Peoria Chiefs	—	91	78	13	1	0	0	12	23	0	0	0	167	278	179	457	13	232	25	13	225	39	-7	+0	—	—	+2	-0.5
2025	24	AA	Springfield Cardinals	—	69	54	15	1	0	0	13	15	0	0	1	278	418	296	714	19	375	22	19	334	112	+1	-0	—	—	+1	0.2
2025	24	A+	Peoria Chiefs	—	139	115	35	3	0	1	12	30	8	1	3	304	407	357	764	52	386	22	9	347	121	+3	-1	—	—	+3	0.6
2025	24	INTL	Glendale Desert Dogs	—	38	31	5	1	0	0	5	7	1	3	0	161	297	194	491	32	200	18	13	240	49	-2	+1	—	—	+1	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	22	A MLE	Palm Beach Cardinals	—	59	48	8	3	0	1	8	13	3	0	0	167	322	292	614	125	213	22	14	283	78	-2	+0	—	—	+1	-0.0
2024	23	A+ MLE	Peoria Chiefs	—	91	81	11	1	0	0	9	31	0	0	0	136	222	148	370	12	201	34	10	175	5	-10	+0	—	—	+2	-0.9
2025	24	AA MLE	Springfield Cardinals	—	69	59	16	1	0	0	8	18	0	0	1	271	358	288	646	17	365	26	12	299	88	-1	-0	—	—	+1	0.0
2025	24	A+ MLE	Peoria Chiefs	—	139	119	29	2	0	1	8	43	8	1	3	244	333	286	619	42	334	31	6	281	76	-4	-1	—	—	+3	-0.2
2023	22	A MLE	Palm Beach Cardinals	—	59	48	8	3	0	1	8	13	3	0	0	167	322	292	614	125	206	22	14	283	78	—	—	—	—	—	—
2023	22	A RAW	Palm Beach Cardinals	—	59	45	9	3	0	1	11	9	3	0	0	200	390	333	723	133	229	15	19	345	78	—	—	—	—	—	—
2024	23	A+ MLE	Peoria Chiefs	—	91	81	11	1	0	0	9	31	0	0	0	136	222	148	370	12	216	34	10	175	5	—	—	—	—	—	—
2024	23	A+ RAW	Peoria Chiefs	—	91	78	13	1	0	0	12	23	0	0	0	167	278	179	457	13	232	25	13	225	5	—	—	—	—	—	—
2025	24	A+ MLE	3 teams	—	246	210	53	4	0	1	20	72	9	4	4	252	343	286	629	33	364	29	8	287	80	—	—	—	—	—	—
2025	24	A+ RAW	3 teams	—	246	200	55	5	0	1	30	52	9	4	4	275	393	315	708	40	353	21	12	327	80	—	—	—	—	—	—
2023	22	A MLE	Palm Beach Cardinals	—	59	48	8	3	0	1	8	13	3	0	0	167	322	292	614	125	213	22	14	283	78	—	—	—	—	—	—
2024	23	A+ MLE	Peoria Chiefs	—	91	82	11	1	0	0	9	31	0	0	0	134	222	146	369	12	201	34	10	175	5	—	—	—	—	—	—
2025	24	A+ MLE	3 teams	—	246	215	53	4	0	1	20	72	9	4	4	247	343	279	622	33	344	29	8	287	80	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	22	A MLE	Palm Beach Cardinals	—	59	48	8	3	0	1	8	13	3	0	0	167	322	292	614	125	213	22	14	283	78	—	—	—	—	—	—
2024	23	A+ MLE	Peoria Chiefs	—	91	82	11	1	0	0	9	31	0	0	0	134	222	146	369	12	201	34	10	175	5	—	—	—	—	—	—
2025	24	A+ MLE	3 teams	—	246	215	53	4	0	1	20	72	9	4	4	247	343	279	622	33	344	29	8	287	80	—	—	—	—	—	—
YTD	25	AA MLE	STL	—	174	153	29	8	0	3	13	49	4	4	0	190	271	301	571	111	248	28	7	252	56	-9	+1	+0	+3	+4	-0.1
▸ 2026 season
YTD	25	AA RAW	STL	—	135	113	24	6	0	4	16	36	4	4	0	212	331	372	703	159	267	27	12	317	56	—	—	—	—	—	—
YTD	25	AAA RAW	STL	—	39	34	8	3	0	0	3	4	0	0	0	235	297	324	621	88	250	10	8	268	56	—	—	—	—	—	—
ROS	25	AA MLE	STL	2%	19	17	3	1	0	0	2	5	0	0	0	176	263	235	498	59	268	26	11	258	61	-1	+0	+0	+0	+0	-0.0
TOT	25	AA MLE	STL	—	193	170	32	9	0	3	15	54	4	4	0	188	270	294	564	106	248	28	8	252	57	-10	+1	+0	+3	+4	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	STL	31%	308	274	55	11	1	4	26	83	5	5	1	201	282	292	574	91	268	27	8	266	66	-12	+1	+0	+6	+7	0.0
2028	27	MLB MLE	STL	42%	345	306	62	12	1	5	30	92	6	5	1	203	287	297	584	95	269	27	9	270	69	-13	+1	+0	+6	+7	0.2
2029	28	MLB MLE	STL	48%	369	328	67	13	1	6	32	98	6	5	2	204	287	305	592	101	270	27	9	272	70	-13	+0	-1	+7	+8	0.1
2030	29	MLB MLE	STL	49%	374	332	68	13	1	6	33	99	6	5	1	205	288	304	593	99	270	26	9	272	70	-13	+1	-1	+7	+8	0.1
2031	30	MLB MLE	STL	50%	378	336	68	13	1	6	33	101	6	5	1	202	285	301	586	98	268	27	9	269	68	-14	+1	-2	+7	+8	-0.1
2027	26	MLB CTX	STL	31%	96	86	16	3	0	1	8	26	2	1	0	186	271	256	527	70	267	27	8	251	66	-4	+0	+0	+2	+2	0.0
2028	27	MLB CTX	STL	42%	145	129	25	5	0	2	13	38	2	2	1	194	278	279	557	85	269	26	9	256	69	-5	+0	+0	+3	+3	0.0
2029	28	MLB CTX	STL	48%	177	157	33	6	1	3	15	47	3	3	1	210	291	318	610	108	269	27	8	258	70	-6	+0	-0	+3	+4	0.1
2030	29	MLB CTX	STL	49%	185	164	35	7	1	3	16	49	3	2	1	213	295	323	618	110	269	26	9	257	70	-7	+0	-1	+3	+4	-0.0
2031	30	MLB CTX	STL	50%	190	168	34	7	0	3	17	51	3	2	1	202	287	298	585	95	268	27	9	255	68	-7	+0	-1	+3	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	793	704	143	28	2	12	69	211	13	10	4	203	286	300	586	97	270	27	9	256	68	-29	+0	-2	+14	+17	0.0
/ 162G	—	A+C		—	650	577	118	23	2	10	57	173	11	8	3	205	288	303	592	99	272	27	9	256	68	-24	+0	-2	+12	+14	0.0
Career	—	MLE		—	2189	1932	395	71	5	29	193	594	41	29	10	204	290	291	582	87	276	27	9	268	68	-67	+3	-4	+32	+39	0.3
/ 162G	—	MLE		—	650	574	117	21	1	9	57	176	12	9	3	204	289	291	580	87	274	27	9	268	68	-24	+1	-2	+12	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#2Sandy 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
#3Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#4Adam 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
#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 2 projected seasons	1.2	796	12	11	204	284	303	+14	+8	0.7	0.7
/162	664	10	9	+11.9	+6.7	0.6	pk7: 1
#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
Graysen Tarlow (OGILVIE)	25	32	34	46	51	194/278/275	80	268	2	4	27%	8%	61	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Anthony Mulrine 2023 · AAA	25	37	37→40	45→40	40	178/255/248	70	259	5	5	32%	6%	46	-2.6	192/272/277	85	272	7	6	30%	7%	59	-1.7	144/248/206	63	200	4	0	27%	8%	33	-0.8
✕Connor Justus 2019 · AA	24	39→38	38→40	42→45	46	188/272/267	79	265	6	8	29%	8%	57	-1.8	177/251/244	67	256	4	8	30%	7%	43	-2.8	152/224/201	49	226	2	6	31%	7%	21	-2.7
✕Chase Pinder 2021 · AA	25	40	39→45	40→45	44	192/269/271	79	282	7	5	32%	8%	56	-1.9	217/307/343	126	285	13	8	26%	10%	87	+0.4	222/324/360	138	289	14	11	26%	12%	95	+0.5
✕Stephen McGee 2017 · AAA	26	40	38→40	44→30	45	194/269/271	78	275	6	4	30%	8%	56	-1.9	204/290/309	105	310	9	4	34%	10%	73	-0.6	190/290/293	103	292	10	0	35%	12%	67	-0.4
✕Chris Givin 2022 · AA	25	38	38→30	50→45	43	188/250/263	74	259	6	6	29%	7%	46	-2.6	203/267/280	77	271	6	7	26%	7%	57	-1.8	197/264/256	59	255	4	5	23%	8%	47	-1.2
✕JJ Schwarz 2021 · A	25	38	41→45	48→30	43	190/254/280	91	265	9	6	31%	7%	52	-2.2	214/281/329	115	298	12	3	30%	8%	73	-0.6	208/278/322	114	287	13	1	30%	9%	68	-0.5
✕Quincy McAfee 2023 · AA	25	39	42→45	42→45	46	191/280/293	102	262	10	6	29%	9%	65	-1.2	199/277/327	128	250	14	10	25%	7%	72	-0.7	186/267/323	137	222	16	12	24%	7%	65	-0.7
✕Eric Yang 2023 · AAA	25	39	39→40	47→40	44	186/268/270	84	277	6	6	33%	8%	56	-1.9	197/273/272	75	298	5	6	33%	8%	57	-1.8	178/263/231	54	280	4	1	35%	9%	43	-0.6
✕Brian Ward 2011 · A	25	41	36→40	43→45	47	193/272/257	64	268	4	6	28%	8%	54	-2.0	218/284/303	85	271	6	8	20%	7%	68	-1.0	224/288/309	84	270	6	8	18%	7%	69	-0.4
✕Matt Pagnozzi 2008 · AAA	25	38	38→40	45→40	37	186/239/266	79	266	5	4	31%	5%	42	-2.9	207/260/286	79	287	7	4	29%	6%	55	-2.0	210/276/290	80	290	6	0	28%	7%	60	-0.7
✕Matt Jones 2017 · AA	25	41	38→45	44→30	43	197/249/281	84	261	4	5	26%	6%	49	-2.4	200/262/304	104	273	12	3	30%	7%	61	-1.5	189/255/290	101	252	14	0	30%	7%	53	-0.9
✕Chadd Krist 2015 · A	25	40	41→40	44→45	42	196/258/292	96	269	8	6	29%	7%	56	-1.9	194/248/291	97	281	9	6	32%	6%	52	-2.2	151/202/238	87	213	10	0	34%	5%	19	-1.4
✕Shea Vucinich 2014 · AA	25	42→45	39→40	46→50	45	199/277/286	86	287	6	10	30%	8%	62	-1.4	200/275/291	91	285	6	12	29%	8%	63	-1.4	175/256/263	89	248	4	14	29%	9%	47	-0.9
✕Chris Denove 2008 · A	25	40	38→40	47→40	42	196/254/274	78	267	6	5	28%	6%	51	-2.3	232/289/320	88	288	5	4	20%	6%	74	-0.6	245/303/334	88	297	6	3	18%	6%	79	-0.1
✕Ross Wilson 2014 · AA	25	42→47	38→40	47→45	45	201/274/277	76	269	5	7	26%	7%	59	-1.7	206/267/307	101	275	9	6	27%	6%	63	-1.4	196/256/309	112	255	11	2	27%	5%	61	-1.0
✕Donny Sands 2021 · A	25	41	38→45	45→40	40	197/249/279	82	279	5	5	30%	6%	49	-2.4	228/286/347	119	277	13	4	22%	7%	79	-0.2	224/286/336	112	273	12	2	22%	8%	74	-0.3
✕Nick Meyer 2022 · AAA	25	43	38→40	47→50	44	208/270/280	72	269	6	12	24%	6%	58	-1.7	213/285/304	91	277	9	15	25%	8%	70	-0.9	198/278/278	79	257	10	18	25%	9%	58	-0.8
✕Adam Weisenburger 2013 · AA	24	43	36→40	43→30	46	202/277/267	66	268	4	5	25%	8%	58	-1.7	217/296/304	87	281	6	4	23%	8%	74	-0.6	216/301/298	83	274	6	2	21%	8%	72	-0.3
✕Andrés Alvarez 2021 · A	24	41→31	37→45	48→50	42	196/261/270	74	275	4	7	29%	7%	52	-2.2	202/269/324	122	288	13	15	33%	8%	68	-1.0	182/251/303	121	254	14	15	33%	8%	55	-1.1
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3

Career Stats + Projections

Career Comps

Career Path Comps