Ryan Tayman

C St. Lucie Mets

Age 21 R/R A H -5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	20	ANYM	95	.316/.441/.579	5	0	127	—	.262/.366/.462
2027PROJ0% MLB	21	MLBNYM	205	.229/.302/.370	5	2	90	0.4
2028PROJ43% MLB	22	MLBNYM	86	.225/.299/.366	2	1	92	0.3
2029PROJ61% MLB	23	MLBNYM	190	.227/.301/.370	5	2	94	0.6

Next 3 projected WAR 1.3Projected 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

K%81

Chase%73

Max EV67

BB%66

Z-Con%61

Whiff%43

Career WAR0 WAR median (P10 -0 / P90 12, comp-based) · star 1% · didn't stick 82%

CompsMiguel Amaya (age 22) · Eddys Leonard (age 21) · Agustín Ramírez (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 100 proj PA

wRC+†90

AVG/OBP/SLG.227 / .300 / .367

PA100

HR3

K%26

BB%8

ISO141

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$51M ctrl surplus

Tools · Contract

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	+1.2	$7M	+$6M
2033	Pre-Arb	$0.9M	+1.2	$6M	+$6M
2034	Pre-Arb	$1.0M	+1.0	$5M	+$4M
2035	Arb-1	$3M	+0.8	$2M	+$0.5M
2036	Arb-2	$4M	+0.6	$1M	+$0.0M (cut)
2037	Arb-3	$4M	+0.4	$0.7M	+$0.0M (cut)
Totals		$6M		$21M	+$16M

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. Catcher framing: only 2027 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)
2026	20	A	St. Lucie Mets	—	95	76	24	5	0	5	13	16	4	0	0	316	441	579	1.020	263	333	17	14	437	127	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	20	A MLE	St. Lucie Mets	—	95	80	21	4	0	4	9	22	4	0	0	263	366	463	828	200	286	23	9	356	127	—	—	—	—	—	—
2026	20	A MLE	St. Lucie Mets	—	95	80	21	4	0	4	9	22	4	0	0	263	366	463	828	200	304	23	9	356	127	—	—	—	—	—	—
2026	20	A RAW	St. Lucie Mets	—	95	76	24	5	0	5	13	16	4	0	0	316	441	579	1.020	263	333	17	14	437	127	—	—	—	—	—	—
2026	20	A MLE	St. Lucie Mets	—	95	82	21	4	0	4	9	22	4	0	0	256	366	451	817	195	286	23	9	356	127	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	20	A MLE	St. Lucie Mets	—	95	82	21	4	0	4	9	22	4	0	0	256	366	451	817	195	286	23	9	356	127	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	NYM	0%	205	184	42	8	1	5	16	54	3	2	1	229	302	370	672	141	290	26	8	301	90	-2	+0	+0	+4	+4	0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	NYM	43%	199	179	40	7	1	5	15	51	3	2	1	232	304	376	680	144	291	26	8	304	92	-2	+0	+0	+4	+4	0.6
2029	23	MLB MLE	NYM	61%	312	280	66	12	2	9	24	80	5	4	1	233	306	380	686	147	292	26	8	307	94	-2	+0	+0	+6	+7	1.1
2030	24	MLB MLE	NYM	66%	392	352	83	15	2	11	31	99	6	5	2	235	308	383	691	148	293	25	8	309	95	-2	+0	+0	+7	+8	1.4
2031	25	MLB MLE	NYM	69%	438	393	92	17	2	12	35	110	7	5	2	236	309	385	694	150	293	25	8	310	96	-2	+0	+0	+8	+9	1.6
2032	26	MLB MLE	NYM	70%	466	419	98	18	2	13	37	116	7	5	2	236	309	386	696	150	292	25	8	310	96	-2	+0	+0	+8	+10	1.7
2033	27	MLB MLE	NYM	69%	478	430	100	18	2	14	38	120	7	5	2	235	308	383	692	149	292	25	8	309	95	-3	+0	+0	+9	+10	1.7
2034	28	MLB MLE	NYM	68%	481	433	100	18	2	13	38	122	7	3	2	233	306	379	685	146	291	25	8	306	93	-4	-0	-1	+9	+10	1.5
2035	29	MLB MLE	NYM	67%	476	428	99	18	2	13	38	122	7	2	1	231	303	372	676	142	289	26	8	302	91	-5	+0	-1	+8	+10	1.2
2036	30	MLB MLE	NYM	66%	468	421	95	17	2	12	37	121	7	0	1	227	300	364	664	137	287	26	8	298	88	-7	-0	-2	+8	+10	0.9
2037	31	MLB MLE	NYM	65%	442	399	89	16	2	11	34	116	6	0	1	223	295	354	649	131	284	26	8	292	84	-9	-0	-3	+8	+10	0.6
2038	32	MLB MLE	NYM	65%	413	373	81	14	1	10	31	111	6	0	0	218	288	342	630	124	280	27	8	284	78	-11	+0	-4	+7	+9	0.2
2039	33	MLB MLE	NYM	65%	373	337	71	12	1	8	28	102	5	0	0	211	281	327	607	115	275	27	8	275	72	-12	+0	-4	+7	+8	-0.2
2028	22	MLB CTX	NYM	43%	86	78	17	3	0	2	7	22	1	1	0	225	299	366	665	141	282	26	8	298	92	-1	+0	+0	+2	+2	0.3
2029	23	MLB CTX	NYM	61%	190	170	39	7	1	5	15	48	3	2	1	227	301	370	671	143	282	25	8	300	94	-1	+0	+0	+3	+4	0.6
2030	24	MLB CTX	NYM	66%	259	233	52	9	1	7	20	66	4	3	1	228	302	374	676	145	283	25	8	302	95	-1	+0	+0	+5	+6	0.9
2031	25	MLB CTX	NYM	69%	301	269	62	11	1	9	24	76	5	3	1	229	303	376	678	146	283	25	8	304	96	-1	+0	+0	+5	+7	1.1
2032	26	MLB CTX	NYM	70%	325	291	67	12	2	9	26	81	5	4	1	229	303	376	680	147	283	25	8	304	96	-1	+0	+0	+6	+7	1.2
2033	27	MLB CTX	NYM	69%	330	296	68	12	2	9	26	83	5	3	1	228	302	374	676	145	282	25	8	303	95	-2	+0	+0	+6	+7	1.2
2034	28	MLB CTX	NYM	68%	329	295	66	12	1	9	26	83	5	2	1	226	300	369	669	143	281	25	8	300	93	-3	+0	-0	+6	+7	1.0
2035	29	MLB CTX	NYM	67%	318	285	64	11	1	9	25	81	5	1	1	224	297	363	660	139	280	25	8	296	91	-3	-0	-1	+6	+7	0.8
2036	30	MLB CTX	NYM	66%	308	277	61	11	1	8	24	80	4	0	1	221	294	355	649	134	278	26	8	292	88	-5	-0	-1	+6	+7	0.6
2037	31	MLB CTX	NYM	65%	288	260	56	10	1	7	22	76	4	0	0	217	289	345	634	128	275	26	8	286	84	-6	+0	-2	+5	+6	0.4
2038	32	MLB CTX	NYM	65%	268	242	51	9	1	6	20	72	4	0	0	212	283	333	616	121	271	27	7	278	78	-7	+0	-2	+5	+6	0.1
2039	33	MLB CTX	NYM	65%	241	218	44	7	1	5	18	66	3	0	0	205	275	318	593	113	266	27	7	269	72	-8	+0	-3	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3243	2914	647	114	13	85	253	834	48	19	8	222	295	358	652	136	279	26	8	295	90	-40	+1	-10	+58	+70	8.1
/ 162G	—	A+C		—	650	584	130	23	3	17	51	167	10	4	2	223	296	360	656	137	280	26	8	295	90	-8	+0	-2	+12	+14	1.6
Career	—	MLE		—	5133	4614	1057	190	22	138	403	1318	79	32	15	229	302	370	672	140	289	26	8	302	90	-62	+0	-15	+90	+109	12.5
/ 162G	—	MLE		—	650	584	134	24	3	17	51	167	10	4	2	229	302	368	670	139	290	26	8	302	90	-8	+0	-2	+12	+14	1.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#3John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#4George Gibson'05-'18 * career totals — 13 seasons, 4,190 PA	6.3	4,190	15	40	237*	297*	385*	+75	+0	12.9	13.3
/162	664	2	6	+11.8	+0.0	2.0	pk7: 14
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.0	3,342	89	23	230	299	371	+60	+36	11.1	9.7
/162	664	18	4	+11.9	+7.2	2.2	pk7: 8
#5Randy Hundley'64-'77 * career totals — 9 seasons, 3,797 PA	5.7	3,797	82	12	236*	295*	383*	+68	+0	8.0	8.7
/162	664	14	2	+11.8	+0.0	1.4	pk7: 9
#6Scott Servais'91-'01 * career totals — 9 seasons, 2,778 PA	4.2	2,778	63	3	235*	296*	373*	+49	+0	6.5	6.9
/162	664	15	1	+11.7	+0.1	1.6	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 Tayman (OGILVIE)	21	—	—	—	—	227/300/367	140	290	3	1	26%	8%	90	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Miguel Amaya 2021 · A	22	43	46→50	48→40	47	217/290/349	133	270	14	4	25%	8%	82	-0.0	222/315/352	130	303	13	6	29%	9%	92	+0.7	216/325/362	146	296	16	3	30%	10%	98	+0.3
✕Eddys Leonard 2022 · A	21	47	51→50	48→50	42	234/305/398	164	322	19	7	32%	7%	99	+1.2	225/289/367	142	293	15	6	28%	6%	86	+0.3	218/281/355	137	281	15	6	27%	6%	76	-0.3
✕Agustín Ramírez 2023 · A	21	43→48	45→55	51→55	44	213/272/340	128	284	12	11	29%	7%	72	-0.7	233/294/390	157	279	18	13	23%	7%	93	+0.8	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Nick Yorke 2023 · A	21	46→56	47→50	46→55	43	233/287/366	133	297	16	9	27%	7%	84	+0.1	246/303/366	120	328	12	15	27%	7%	89	+0.5	256/312/370	114	340	11	18	26%	7%	91	+0.6
●Christian Vázquez 2012 · A	21	44→54	47→50	46→45	42	223/275/356	133	287	14	3	27%	6%	77	-0.3	238/296/342	104	299	9	4	22%	7%	81	-0.1	259/309/407	148	296	18	8	19%	7%	102	+1.0
✕Brennen Davis 2021 · A	21	48→43	47→50	51→45	43	237/301/376	139	306	15	9	27%	7%	92	+0.7	206/288/340	134	299	15	8	34%	8%	80	-0.2	188/287/362	173	236	23	4	30%	8%	83	+0.0
✕Carter Kieboom 2019 · AA	21	49→55	48→50	47→45	44	243/300/382	139	311	15	7	26%	7%	93	+0.8	233/317/359	126	306	14	5	27%	9%	94	+0.9	221/320/338	116	289	14	3	26%	10%	90	+0.3
✕Tyler Ogle 2013 · A	22	46→43	49→50	45→30	44	233/294/379	146	292	17	5	26%	7%	90	+0.6	219/305/352	133	265	15	3	22%	10%	88	+0.4	209/298/348	138	250	17	2	23%	10%	81	-0.0
●Josmil Pinto 2010 · A	21	44→54	48→50	47→40	44	225/277/373	147	267	16	3	22%	6%	82	-0.0	217/263/349	132	268	14	2	24%	5%	71	-0.8	257/325/415	158	308	17	0	21%	8%	106	+1.5
✕Miguel Palma 2023 · A	21	43	48→45	46→40	46	218/292/360	142	271	17	4	26%	8%	85	+0.2	215/275/318	103	286	10	4	27%	7%	68	-1.0	202/263/285	84	272	8	3	27%	6%	55	-0.7
✕Jamie Westbrook 2016 · A	21	50→54	46→50	49→45	41	248/287/381	133	294	13	8	21%	4%	86	+0.3	242/279/358	116	278	11	7	17%	4%	78	-0.3	246/298/391	146	280	17	3	19%	5%	92	+0.6
✕Ronaldo Hernández 2019 · A	21	46→44	48→50	44→45	43	233/277/371	137	268	16	6	20%	5%	81	-0.1	229/267/366	137	273	15	6	22%	4%	76	-0.4	218/265/369	151	256	19	1	23%	4%	74	-0.4
✕Max Stassi 2013 · A	22	43→45	48→55	44→40	40	219/279/357	139	300	16	5	32%	6%	79	-0.2	222/269/363	141	295	16	3	30%	5%	76	-0.4	216/302/377	161	281	21	0	29%	10%	94	+0.4
✕Travis Denker 2008 · A	22	47→51	47→50	44→45	52	237/309/373	136	276	15	5	20%	9%	94	+0.9	229/296/349	120	286	10	5	22%	8%	83	+0.1	228/292/363	135	273	14	6	21%	7%	83	+0.1
✕Juan Brito 2023 · A	21	48→50	45→50	48→45	53	234/319/371	136	287	12	11	22%	10%	97	+1.1	231/311/367	136	281	13	9	21%	10%	93	+0.8	225/308/360	135	270	13	9	21%	10%	89	+0.4
✕Austin Romine 2010 · A	21	49→54	45→50	47→45	41	243/280/370	127	290	13	7	21%	4%	82	-0.0	245/288/356	111	302	11	4	22%	5%	82	-0.0	253/292/395	142	318	18	2	26%	5%	93	+0.3
●Derek Norris 2010 · A	21	45→55	52→55	45→50	49	228/310/392	164	299	20	5	30%	10%	99	+1.3	209/309/374	165	282	20	9	31%	12%	95	+1.0	257/333/410	152	314	16	5	22%	9%	112	+1.6
✕Connor Wong 2018 · A	22	47→55	49→55	46→50	38	233/283/379	145	326	17	7	33%	5%	85	+0.2	210/263/373	163	337	21	8	42%	6%	77	-0.3	242/296/383	141	316	16	10	28%	6%	90	+0.4
●Jordan Diaz 2022 · A	21	49→59	49→55	42→30	44	249/294/398	149	296	16	5	22%	6%	93	+0.8	268/308/425	157	313	19	2	20%	5%	105	+1.7	274/316/435	161	317	20	0	20%	5%	108	+1.5
✕Tony Sanchez 2010 · A	22	51	50	50→40	44	251/319/415	164	316	16	6	25%	7%	107	+1.9	243/318/353	110	310	9	5	23%	7%	93	+0.8	228/294/378	150	294	16	0	27%	7%	87	+0.3

Ryan Tayman

Career Stats + Projections

Career Comps

Career Path Comps