Ryan Weingartner

Ryan WeingartnerSS Palm Beach Cardinals

Age 22 R/R 5'11" / 184 lbs A HR -14%BB -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION434 act + 9 ros · stats below = ROS only

showingROS

wRC+†78

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP258

ISO120

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$31M ctrl surplus

Tools · ContractCON 33 / POW 45

Toolsscout grade

CONTACT33

scouting grade only

POWER45

scouting grade only

EYE70

scouting grade only

SPEED65

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.9	$2M	+$2M
2032	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Arb-1	$2M	+0.4	$0.9M	+$0.0M
2035	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$5M		$7M	+$4M

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)
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	59	-4	-1	—	—	+2	-0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Palm Beach Cardinals	—	90	73	8	0	1	0	14	37	1	5	4	110	261	137	398	27	206	41	16	200	22	-8	-1	—	—	+2	-0.7
2025	21	A MLE	Palm Beach Cardinals	—	90	73	8	0	1	0	14	37	1	5	4	110	261	137	398	27	216	41	16	200	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	—	—	—	—	—	—
2025	21	A MLE	Palm Beach Cardinals	—	90	75	8	0	1	0	14	37	1	5	4	107	261	133	395	27	206	41	16	200	22	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	Palm Beach Cardinals	—	90	75	8	0	1	0	14	37	1	5	4	107	261	133	395	27	206	41	16	200	22	—	—	—	—	—	—
YTD	22	A MLE	STL	—	434	372	65	11	1	10	53	137	7	36	8	175	289	290	580	116	242	32	12	264	65	-18	+4	+0	+5	+9	-0.0
▸ 2026 season
YTD	22	A RAW	STL	—	382	310	70	11	1	12	63	84	7	33	8	226	368	384	752	158	269	22	16	344	65	—	—	—	—	—	—
YTD	22	A+ RAW	STL	—	52	44	8	2	0	0	8	13	0	3	0	182	308	227	535	45	258	25	15	261	65	—	—	—	—	—	—
ROS	22	A MLE	STL	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		259	33	11	284	78	-0	+0	+0	+0	+0	0.0
TOT	22	A MLE	STL	—	443	380	66	11	1	10	54	140	7	36	8	174	288	287	575	113	241	32	12	264	65	-18	+4	+0	+5	+10	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	STL	43%	339	290	59	11	1	8	41	94	5	12	3	203	312	331	644	128	264	28	12	291	83	-7	+1	+0	+4	+7	0.6
2028	24	MLB MLE	STL	58%	412	354	73	13	2	10	49	112	6	15	4	206	313	339	652	133	267	27	12	296	87	-7	+1	+0	+4	+9	0.8
2029	25	MLB MLE	STL	65%	442	381	80	15	2	11	52	119	6	16	4	210	314	346	661	136	269	27	12	299	89	-6	+2	+0	+5	+10	1.0
2030	26	MLB MLE	STL	68%	536	461	97	18	2	14	63	143	7	19	5	210	315	349	664	139	269	27	12	300	89	-7	+2	+0	+6	+12	1.3
2031	27	MLB MLE	STL	68%	532	457	97	18	2	14	63	143	7	19	5	212	317	352	669	140	269	27	12	301	90	-7	+2	+0	+6	+12	1.3
2032	28	MLB MLE	STL	68%	459	395	83	15	2	12	55	124	6	16	4	210	316	349	665	139	269	27	12	300	89	-6	+2	-1	+5	+10	1.0
2033	29	MLB MLE	STL	66%	449	386	81	15	2	11	54	122	6	14	3	210	316	345	661	135	268	27	12	298	88	-7	+2	-1	+5	+10	0.8
2034	30	MLB MLE	STL	66%	439	377	77	14	1	11	53	120	6	13	3	204	312	334	646	130	267	27	12	295	86	-7	+1	-2	+5	+10	0.6
2035	31	MLB MLE	STL	65%	425	365	73	13	1	10	51	118	6	11	3	200	308	323	631	123	265	28	12	292	83	-8	+1	-3	+5	+9	0.4
2036	32	MLB MLE	STL	65%	407	350	69	12	1	9	49	114	5	8	2	197	304	314	619	117	262	28	12	286	80	-10	+1	-4	+4	+9	0.1
2037	33	MLB MLE	STL	65%	377	324	63	11	1	8	45	108	5	6	1	194	302	309	611	114	258	29	12	280	76	-11	+1	-4	+4	+8	-0.2
2027	23	MLB CTX	STL	43%	146	125	26	5	1	3	18	41	2	5	1	208	317	336	653	128	263	28	12	278	83	-3	+1	+0	+2	+3	0.2
2028	24	MLB CTX	STL	58%	239	206	42	8	1	5	28	65	3	9	2	204	308	325	633	121	266	27	12	283	87	-4	+1	+0	+3	+5	0.5
2029	25	MLB CTX	STL	65%	286	246	51	9	1	7	34	77	4	10	3	207	313	337	651	130	268	27	12	285	89	-4	+1	+0	+3	+6	0.6
2030	26	MLB CTX	STL	68%	365	314	65	12	1	9	43	98	5	13	3	207	312	338	650	131	268	27	12	287	89	-5	+1	+0	+4	+8	0.9
2031	27	MLB CTX	STL	68%	362	311	65	12	1	9	43	97	5	13	3	209	315	341	656	132	268	27	12	287	90	-5	+1	+0	+4	+8	0.9
2032	28	MLB CTX	STL	68%	312	268	55	10	1	7	37	84	4	11	3	205	311	328	639	123	268	27	12	286	89	-4	+1	-0	+3	+7	0.7
2033	29	MLB CTX	STL	66%	298	256	53	10	1	7	36	81	4	9	2	207	314	336	650	129	267	27	12	284	88	-4	+1	-1	+3	+6	0.5
2034	30	MLB CTX	STL	66%	288	247	50	9	1	6	35	79	4	8	2	202	311	320	631	117	266	27	12	282	86	-5	+1	-1	+3	+6	0.4
2035	31	MLB CTX	STL	65%	276	237	48	9	1	6	33	77	4	7	2	203	310	325	635	122	264	28	12	279	83	-5	+1	-2	+3	+6	0.2
2036	32	MLB CTX	STL	65%	263	227	44	8	1	5	31	74	3	5	1	194	299	304	603	110	261	28	12	274	80	-6	+1	-2	+3	+6	0.1
2037	33	MLB CTX	STL	65%	243	209	40	7	1	5	29	70	3	4	1	191	299	306	605	115	257	29	12	268	76	-7	+0	-3	+3	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3078	2646	539	99	11	69	367	843	41	94	23	204	310	328	638	124	269	27	12	282	85	-52	+10	-10	+33	+67	4.9
/ 162G	—	A+C		—	650	559	114	21	2	15	78	178	9	20	5	204	312	329	641	125	268	27	12	282	85	-11	+2	-2	+7	+14	1.0
Career	—	MLE		—	4916	4221	861	155	18	118	590	1357	66	154	41	204	311	333	644	129	268	28	12	293	85	-82	+15	-15	+52	+105	7.6
/ 162G	—	MLE		—	650	558	113	20	2	16	78	179	9	20	5	203	310	332	642	129	265	28	12	293	85	-11	+2	-2	+7	+14	1.0

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
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#5Gordon 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.9	3,255	78	99	206	309	336	+35	+24	7.8	6.9
/162	664	16	20	+7.1	+4.9	1.6	pk7: 6
#6Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7

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)	22	28→33	40→45	60→65	70	191/302/307	116	259	4	10	29%	12%	78	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jakob Marsee 2023 · A	22	44→48	43→45	58→60	54	211/315/327	116	289	9	21	28%	12%	86	+0.3	215/313/338	123	273	13	33	24%	11%	88	+0.5	211/310/338	127	264	13	40	24%	11%	84	+0.2
✕Mario Lisson 2006 · A	22	46→49	43→50	57→55	49	219/303/341	122	299	9	19	28%	10%	84	+0.2	220/282/334	114	289	10	21	26%	7%	75	-0.5	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕Tim Tawa 2022 · A	23	45→44	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	211/273/334	123	271	14	11	27%	7%	72	-0.7	224/287/394	170	271	21	14	25%	7%	89	+0.4
✕Juan Mora 2022 · A	22	46	44→45	55	46	225/303/346	121	300	11	14	27%	8%	86	+0.3	225/283/333	108	304	9	9	28%	5%	75	-0.5	222/278/328	106	295	10	8	27%	5%	70	-0.4
✕Adrian Abreu 2013 · A	22	45	40	53→55	53	218/296/306	88	253	9	19	18%	9%	74	-0.6	203/280/286	83	264	6	13	23%	9%	63	-1.3	141/245/214	74	184	4	14	24%	11%	32	-0.7
✕Nolan Fontana 2013 · A	22	47→43	40	53→50	63	214/343/314	99	296	6	15	26%	16%	95	+0.9	213/321/311	98	309	6	11	29%	13%	84	+0.2	207/315/300	93	301	5	9	29%	13%	78	-0.2
✕Agustín Ramírez 2023 · A	21	43→46	45→55	51→55	44	214/275/343	129	286	12	11	29%	7%	74	-0.5	230/293/385	155	277	18	13	23%	8%	91	+0.6	230/293/400	170	266	20	16	22%	7%	92	+0.7
✕Taylor Motter 2012 · A	22	49→50	42→55	55	53	235/311/343	108	288	9	20	21%	10%	87	+0.4	229/293/332	103	283	8	20	21%	8%	78	-0.3	208/287/374	165	259	20	5	27%	10%	85	+0.1
✕Jason Taylor 2010 · A	22	44→39	45	52→55	49	219/291/341	122	268	12	21	23%	8%	80	-0.2	208/259/316	108	271	10	13	26%	6%	61	-1.5	143/172/230	86	185	9	6	28%	3%	7	-1.1
✕Jared Serna 2023 · A	21	41→48	43→45	54→50	49	203/292/313	110	263	10	21	26%	9%	75	-0.5	220/278/337	117	273	11	15	23%	6%	74	-0.6	216/272/322	106	264	10	16	22%	6%	65	-1.1
✕Cooper Bowman 2022 · A	22	44→43	45	56→60	41	213/288/344	131	301	12	19	32%	7%	80	-0.2	199/275/314	115	285	11	34	32%	8%	68	-1.0	202/274/318	116	272	11	40	28%	8%	66	-0.7
✕Johan Lopez 2022 · A	22	43	44→45	56→55	44	209/290/327	118	301	11	16	32%	8%	76	-0.4	195/268/294	99	299	9	12	35%	8%	61	-1.5	172/246/253	81	260	7	12	34%	7%	41	-1.1
✕Tsung-Che Cheng 2023 · A	22	48→47	42→45	57→55	51	226/308/340	115	305	8	21	27%	10%	86	+0.3	213/278/323	110	288	9	18	27%	8%	70	-0.8	202/266/301	99	273	8	19	28%	7%	58	-1.4
✕Bo Naylor 2023 · AAA	23	40→43	49→55	54→50	48	203/290/352	149	278	16	16	32%	10%	82	+0.0	214/299/386	172	268	20	10	27%	10%	93	+0.8	205/292/383	178	245	22	6	26%	10%	88	+0.3
✕Clay Fuller 2009 · A	22	45	42→45	59→55	44	212/292/327	115	313	8	20	32%	8%	77	-0.3	208/277/318	110	293	11	18	31%	7%	70	-0.9	202/268/308	105	278	12	18	30%	7%	61	-1.1
✕Miguel Amaya 2022 · AA	23	43→41	43→50	50→40	50	212/304/325	114	273	10	7	25%	9%	82	-0.0	224/309/361	137	297	15	5	28%	8%	92	+0.7	229/300/373	144	272	16	1	22%	7%	90	+0.2
✕Ben Ross 2023 · A	22	46→44	47→45	54→55	46	226/299/362	136	313	14	14	31%	9%	88	+0.4	185/248/305	120	266	14	13	34%	7%	56	-1.9	184/255/309	125	254	14	19	32%	8%	57	-1.4
✕Marcus Greene Jr. 2016 · A	21	42	46→50	53→40	46	204/288/342	137	301	13	8	34%	9%	80	-0.2	198/259/320	122	275	14	4	32%	7%	63	-1.4	189/248/298	109	256	13	1	31%	6%	52	-0.8
✕Leo Jiménez 2023 · A	22	46→49	40→45	48→45	49	216/322/312	96	283	8	9	24%	9%	86	+0.3	226/314/335	109	285	10	7	23%	7%	88	+0.4	228/319/335	107	286	10	5	22%	7%	87	+0.2
✕Phillip Ervin 2014 · A	22	47→51	48→50	54→55	46	237/301/379	142	295	16	14	25%	8%	93	+0.8	207/275/323	116	264	10	20	24%	7%	70	-0.9	235/299/371	136	298	13	21	24%	7%	86	+0.3

Career Stats + Projections

Career Comps

Career Path Comps