Ryan Weingartner

SS Palm Beach Cardinals

Age 23 R/R 5'11" / 184 lbs A HR -14%BB -5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	ASTL	90	.145/.330/.174	0	5	22	—	.122/.261/.149
2026	22	A+STL	52	.182/.308/.227	0	3	25	—	.152/.250/.196
2026	22	ASTL	382	.226/.368/.384	12	33	64	—	.179/.289/.295
2027PROJ0% MLB	23	MLBSTL	501	.193/.295/.305	10	14	73	0.3
2028PROJ38% MLB	24	MLBSTL	171	.198/.298/.312	3	5	77	0.1
2029PROJ55% MLB	25	MLBSTL	267	.201/.300/.319	5	7	79	0.3

Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

Chase%96

BB%80

Whiff%50

K%46

Speed35

Z-Con%22

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 96%

CompsTrey Sweeney (age 23) · Juan Mora (age 22) · Tim Tawa (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 320 proj PA

wRC+†73

AVG/OBP/SLG.191 / .292 / .302

PA320

HR6

SB9

K%26

BB%11

ISO112

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M ctrl surplus

Tools · ContractCON 36 / POW 45

Toolsscout grade

CONTACT36

scouting grade only

POWER45

scouting grade only

EYE67

scouting grade only

SPEED65

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
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	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
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		$2M		$1M	+$0.3M

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. 2027 = actual YTD + projected ROS + total. 2028+ 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)
2025	21	A	Palm Beach Cardinals	—	90	69	10	0	1	0	18	26	1	5	4	145	330	174	503	29	227	29	20	256	22	—	—	—	—	—	—
2026	22	A+	Peoria Chiefs	—	52	44	8	2	0	0	8	13	0	3	0	182	308	227	535	45	258	25	15	261	25	—	—	—	—	—	—
2026	22	A	Palm Beach Cardinals	—	382	310	70	11	1	12	63	84	7	33	8	226	368	384	752	158	269	22	16	344	64	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Palm Beach Cardinals	—	90	74	9	0	1	0	13	35	1	5	4	122	261	149	410	27	212	39	14	201	22	—	—	—	—	—	—
2026	22	A+ MLE	Peoria Chiefs	—	52	46	7	2	0	0	6	17	0	3	0	152	250	196	446	43	233	33	12	205	25	—	—	—	—	—	—
2026	22	A MLE	Palm Beach Cardinals	—	382	329	59	9	1	9	44	114	7	33	8	179	289	295	584	116	235	30	12	263	64	—	—	—	—	—	—
2025	21	A MLE	Palm Beach Cardinals	—	90	74	9	0	1	0	13	35	1	5	4	122	261	149	410	27	225	39	14	201	22	—	—	—	—	—	—
2025	21	A RAW	Palm Beach Cardinals	—	90	69	10	0	1	0	18	26	1	5	4	145	330	174	503	29	227	29	20	256	22	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	434	376	65	10	1	9	49	131	7	36	8	173	280	277	557	104	235	30	11	256	59	—	—	—	—	—	—
2026	22	A RAW	2 teams	—	434	354	78	13	1	12	71	97	7	36	8	220	361	364	726	144	267	22	16	334	59	—	—	—	—	—	—
2025	21	A MLE	Palm Beach Cardinals	—	90	76	9	0	1	0	13	35	1	5	4	118	261	145	406	26	212	39	14	201	22	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	434	375	65	10	1	9	49	131	7	36	8	173	280	277	557	104	235	30	11	256	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A MLE	Palm Beach Cardinals	—	90	76	9	0	1	0	13	35	1	5	4	118	261	145	406	26	212	39	14	201	22	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	434	375	65	10	1	9	49	131	7	36	8	173	280	277	557	104	235	30	11	256	59	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	STL	0%	501	433	84	15	2	10	57	131	6	14	4	193	295	305	600	112	249	26	11	276	73	-16	+1	+0	+5	+11	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	STL	38%	453	394	77	14	2	9	51	117	5	12	3	198	298	316	613	118	252	26	11	282	77	-13	+1	+0	+5	+10	0.3
2029	25	MLB MLE	STL	55%	483	421	84	15	2	11	54	123	5	13	3	201	300	323	623	122	255	25	11	285	79	-12	+1	+0	+5	+10	0.5
2030	26	MLB MLE	STL	64%	501	435	88	16	2	11	56	127	5	13	3	203	301	327	628	124	256	25	11	287	80	-12	+1	+0	+5	+11	0.6
2031	27	MLB MLE	STL	66%	507	441	90	17	2	11	56	129	5	13	3	204	301	329	630	125	258	25	11	287	81	-12	+1	+0	+5	+11	0.6
2032	28	MLB MLE	STL	67%	506	441	90	17	2	11	55	129	5	11	3	205	300	328	628	124	259	25	11	287	80	-12	+1	-1	+5	+11	0.5
2033	29	MLB MLE	STL	72%	499	437	88	16	2	11	54	128	5	9	3	202	297	322	620	120	258	26	11	283	78	-13	+1	-1	+5	+11	0.2
2034	30	MLB MLE	STL	75%	490	429	86	16	2	10	53	128	5	6	2	199	294	315	609	115	256	26	11	279	75	-15	+0	-2	+5	+11	-0.0
2028	24	MLB CTX	STL	38%	171	148	30	6	1	3	19	44	2	5	1	198	298	312	610	114	254	26	11	280	77	-5	+1	+0	+2	+4	0.1
2029	25	MLB CTX	STL	55%	267	232	46	9	1	5	30	68	3	7	2	201	300	319	619	118	256	25	11	284	79	-7	+1	+0	+3	+6	0.3
2030	26	MLB CTX	STL	64%	319	278	57	11	1	7	35	81	3	8	2	203	301	323	624	120	258	25	11	285	80	-7	+1	+0	+3	+7	0.4
2031	27	MLB CTX	STL	66%	333	289	58	11	1	7	37	85	4	8	2	204	301	325	626	121	259	26	11	286	81	-8	+1	+0	+4	+7	0.4
2032	28	MLB CTX	STL	67%	338	294	60	12	1	7	37	86	4	7	2	205	300	325	625	120	261	25	11	285	80	-8	+1	-0	+4	+7	0.3
2033	29	MLB CTX	STL	72%	357	311	62	12	1	7	39	92	4	6	2	202	297	319	616	117	259	26	11	282	78	-9	+0	-1	+4	+8	0.2
2034	30	MLB CTX	STL	75%	367	321	63	12	1	7	39	96	4	5	2	199	294	312	606	112	258	26	11	278	75	-11	+0	-2	+4	+8	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2152	1873	376	73	7	43	236	552	24	46	13	201	298	316	614	115	258	26	11	283	75	-55	+4	-3	+23	+47	1.6
/ 162G	—	A+C		—	650	566	113	22	2	13	71	167	7	14	4	200	297	314	611	115	256	26	11	283	75	-17	+1	-1	+7	+14	0.5
Career	—	MLE		—	4283	3725	730	131	17	89	477	1131	47	127	34	196	295	312	607	116	254	26	11	279	75	-98	+8	-4	+40	+81	2.8
/ 162G	—	MLE		—	650	565	112	20	3	14	72	172	7	19	5	198	296	319	615	120	257	26	11	279	75	-17	+1	-1	+7	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Dylan Moorelast yr '25 career totals — 7 seasons, 1,922 PA	2.9	1,922	63	118	206	310	383	+4	+8	6.6	6.6
/162	664	22	41	+1.3	+2.7	2.3	pk7: 7
#4George Strickland'50-'60 * career totals — 8 seasons, 3,266 PA	4.9	3,266	36	12	219*	302*	329*	+28	+19	3.8	5.0
/162	664	7	2	+5.7	+3.8	0.8	pk7: 6
#5Lennie Merullo'41-'47 * career totals — 6 seasons, 2,264 PA	3.4	2,264	6	38	234*	283*	339*	+24	+15	3.3	3.3
/162	664	2	11	+7.1	+4.4	1.0	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.7	2,472	53	56	202	296	322	+26	+15	3.3	3.2
/162	664	14	15	+7.1	+4.0	0.9	pk7: 3
#6Lena Blackburne'10-'27 * career totals — 5 seasons, 2,086 PA	3.1	2,086	4	54	215*	288*	334*	+13	+11	2.0	2.0
/162	664	1	17	+4.2	+3.4	0.6	pk7: 2

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
Ryan Weingartner (OGILVIE)	23	31→36	40→45	60→65	67	191/292/302	111	249	6	9	26%	11%	73	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Trey Sweeney 2023 · AA	23	38→45	48→50	57→55	45	200/273/344	144	263	16	19	30%	8%	74	-0.5	218/289/354	136	286	15	17	28%	8%	82	+0.0	219/291/353	133	286	15	17	27%	8%	81	-0.1
✕Juan Mora 2022 · A	22	44	42→45	55	47	215/295/325	110	284	9	14	26%	8%	78	-0.3	222/280/325	103	297	9	9	27%	6%	72	-0.7	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Tim Tawa 2022 · A	23	45	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	213/278/339	126	273	14	11	26%	8%	74	-0.5	223/286/391	168	267	21	13	25%	7%	88	+0.3
✕Sean Jamieson 2013 · A	24	41→44	43→45	53→50	47	201/277/314	113	254	10	15	24%	8%	69	-0.9	225/285/338	113	297	9	10	26%	6%	77	-0.3	233/292/342	109	311	9	9	26%	6%	77	-0.3
✕Hayden Cantrelle 2022 · AA	23	34	41→40	54→60	55	164/295/261	97	258	8	24	35%	14%	66	-1.1	191/307/295	104	295	8	20	33%	12%	77	-0.3	192/310/298	105	297	8	21	33%	12%	77	-0.2
✕Cody Cipriano 2009 · A	24	40→48	45	55→45	46	198/274/328	130	264	11	12	28%	8%	71	-0.8	221/290/331	110	310	8	8	29%	8%	77	-0.3	227/301/333	106	317	7	7	28%	8%	80	-0.1
✕Michael Guldberg 2022 · A	23	45	44→45	55	44	222/290/341	119	280	12	16	24%	7%	80	-0.2	214/272/298	84	283	6	12	25%	6%	62	-1.4	205/259/264	60	274	3	10	25%	6%	47	-0.7
✕Max George 2019 · A	23	36→39	44→45	53→55	44	182/265/298	116	243	11	20	29%	7%	62	-1.4	190/276/301	111	283	11	20	34%	8%	66	-1.1	149/258/287	138	249	17	20	43%	10%	55	-0.8
✕Lolo Sanchez 2022 · A	23	44→45	45	53→55	48	220/295/343	124	262	13	23	21%	8%	82	+0.0	208/283/298	90	252	9	13	20%	8%	68	-1.0	193/271/258	65	233	6	9	19%	8%	51	-0.9
✕Jeron Williams 2024 · A	23	46	38→50	57→60	50	216/300/293	77	293	6	20	26%	9%	72	-0.7	215/268/325	110	275	9	29	24%	6%	67	-1.1	212/259/325	114	264	9	36	23%	5%	62	-0.6
✕Troy Stokes Jr. 2019 · AA	23	41→40	47→50	54→55	44	208/283/351	143	281	14	17	30%	8%	80	-0.2	198/279/320	122	275	12	17	30%	8%	71	-0.8	173/262/276	103	236	10	19	29%	9%	53	-1.1
✕Kaden Polcovich 2022 · AA	23	39→41	46→45	54→55	46	195/283/323	128	276	13	17	32%	9%	74	-0.6	200/283/317	117	274	11	17	29%	9%	72	-0.7	190/277/301	111	259	10	19	29%	9%	64	-0.7
✕Clay Fuller 2010 · A	23	43→46	42→45	56→55	46	208/288/316	108	299	9	20	31%	9%	73	-0.6	213/273/328	115	291	12	16	30%	7%	70	-0.8	210/264/327	117	279	14	16	29%	5%	63	-0.8
✕Bryce Arnold 2024 · AA	23	42	40→45	53→50	49	201/284/296	95	272	7	11	27%	9%	68	-1.0	186/276/289	103	283	10	10	35%	9%	64	-1.3	162/262/261	99	250	11	9	36%	9%	52	-1.2
✕Mario Lisson 2007 · A	23	45→49	44→50	55	47	220/297/341	122	293	11	22	27%	8%	82	+0.0	215/267/326	111	279	11	19	26%	5%	67	-1.1	222/292/345	123	288	15	8	27%	7%	80	-0.1
✕Tanner Schobel 2024 · AA	23	45→44	43→45	53→50	48	219/290/326	107	277	11	10	24%	8%	76	-0.4	200/271/309	109	265	11	11	27%	8%	65	-1.2	188/262/291	103	248	10	12	27%	8%	55	-1.4
✕River Town 2023 · A	24	40→38	44→40	55→50	47	201/283/322	121	254	11	15	25%	8%	74	-0.6	215/303/306	91	265	8	14	20%	9%	77	-0.3	215/311/283	68	261	5	15	18%	9%	73	-0.3
✕Ryan Klosterman 2006 · A	24	40→45	44→45	55	46	199/270/319	120	254	11	17	26%	8%	67	-1.1	209/274/321	112	274	10	18	26%	7%	69	-0.9	205/270/304	99	269	9	14	26%	8%	61	-0.7
✕Cooper Bowman 2023 · A	23	39→44	43→45	59→60	44	194/276/302	108	285	11	31	34%	9%	66	-1.1	210/284/328	118	287	11	35	29%	8%	74	-0.5	210/283/330	120	279	11	40	27%	8%	72	-0.5
✕John Rhodes 2024 · AA	23	40→37	44→45	55→50	45	202/275/324	122	276	12	11	30%	8%	70	-0.8	184/250/275	91	260	9	8	31%	7%	49	-2.4	163/229/233	69	230	7	7	31%	7%	29	-2.7

Ryan Weingartner

Career Stats + Projections

Career Comps

Career Path Comps