Ryan Tayman

C St. Lucie Mets

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

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#943ETA2029MLB%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
2027PROJMLE	21	MLBNYM	205	.229/.302/.370	5	2	90	0.2
2028PROJ34% MLB	22	MLBNYM	42	.225/.299/.366	1	1	92	0.1
2029PROJ48% MLB	23	MLBNYM	98	.227/.301/.370	3	1	94	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

K%81

Chase%73

Max EV67

BB%66

Z-Con%61

Whiff%43

Career WAR0.0 WAR median (P10 -0.5 / P90 6.7, comp-based) · star 1% · didn't stick 89%

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

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 62 proj PA

wRC+†90

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

PA62

HR2

K%26

BB%8

ISO141

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$28M 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	+0.8	$2M	+$2M
2033	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$2M	+0.5	$1M	+$0.1M
2036	Arb-2	$3M	+0.4	$0.8M	+$0.0M (cut)
2037	Arb-3	$3M	+0.2	$0.4M	+$0.0M (cut)
Totals		$5M		$8M	+$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. 2027 = full-season projection (no games played yet). 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 1-3 WAR low.

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	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	NYM	34%	123	110	26	5	1	3	10	32	2	1	1	232	304	376	680	144	291	26	8	304	92	-1	-0	+0	+2	+3	0.4
2029	23	MLB MLE	NYM	48%	202	181	43	8	1	6	16	52	3	2	1	233	306	380	686	147	292	26	8	307	94	-1	+0	+0	+4	+4	0.7
2030	24	MLB MLE	NYM	53%	286	257	60	11	1	8	22	72	5	3	1	235	308	383	691	148	293	25	8	309	95	-2	+0	+0	+5	+6	1.0
2031	25	MLB MLE	NYM	55%	345	310	73	13	2	10	27	87	5	4	1	236	309	385	694	150	293	25	8	310	96	-2	+0	+0	+6	+7	1.3
2032	26	MLB MLE	NYM	56%	379	340	81	15	2	11	30	95	6	4	2	236	309	386	696	150	292	25	8	310	96	-2	+0	+0	+7	+8	1.4
2033	27	MLB MLE	NYM	55%	393	353	83	15	2	11	31	99	6	4	2	235	308	383	692	149	292	25	8	309	95	-2	+0	+0	+7	+9	1.4
2034	28	MLB MLE	NYM	55%	397	356	83	15	2	11	32	101	6	3	1	233	306	379	685	146	291	25	8	306	93	-3	+0	-1	+7	+9	1.2
2035	29	MLB MLE	NYM	53%	391	351	82	15	2	11	31	100	6	2	1	231	303	372	676	142	289	26	8	302	91	-4	+0	-1	+7	+8	1.0
2036	30	MLB MLE	NYM	53%	381	343	78	14	2	10	30	99	5	0	1	227	300	364	664	137	287	26	8	298	88	-6	-0	-2	+7	+8	0.7
2037	31	MLB MLE	NYM	52%	350	315	71	13	1	9	27	92	5	0	1	223	295	354	649	131	284	26	8	292	84	-7	-0	-3	+6	+8	0.4
2038	32	MLB MLE	NYM	52%	312	281	61	11	1	7	24	84	4	0	0	218	288	342	630	124	280	27	8	284	78	-8	+0	-4	+6	+7	0.1
2039	33	MLB MLE	NYM	52%	263	238	51	9	1	6	20	72	3	0	0	211	281	327	607	115	275	27	8	275	72	-9	+0	-4	+5	+6	-0.3
2028	22	MLB CTX	NYM	34%	42	38	8	1	0	1	3	11	1	1	0	225	299	366	665	141	282	26	7	298	92	-0	+0	+0	+1	+1	0.1
2029	23	MLB CTX	NYM	48%	98	88	20	4	0	3	8	25	2	1	0	227	301	370	671	143	282	26	8	300	94	-1	+0	+0	+2	+2	0.3
2030	24	MLB CTX	NYM	53%	151	136	30	5	1	4	12	38	2	2	1	228	302	374	676	145	283	25	8	302	95	-1	+0	+0	+3	+3	0.5
2031	25	MLB CTX	NYM	55%	189	169	39	7	1	5	15	47	3	2	1	229	303	376	678	146	283	25	8	304	96	-1	+0	+0	+3	+4	0.7
2032	26	MLB CTX	NYM	56%	211	189	44	8	1	6	17	53	3	2	1	229	303	376	680	147	283	25	8	304	96	-1	+0	+0	+4	+5	0.8
2033	27	MLB CTX	NYM	55%	216	194	44	8	1	6	17	54	3	2	1	228	302	374	676	145	282	25	8	303	95	-1	+0	+0	+4	+5	0.7
2034	28	MLB CTX	NYM	55%	217	195	44	8	1	6	17	55	3	2	1	226	300	369	669	143	281	25	8	300	93	-2	+0	-0	+4	+5	0.7
2035	29	MLB CTX	NYM	53%	209	187	42	7	1	6	17	54	3	1	1	224	297	363	660	139	280	26	8	296	91	-2	-0	-1	+4	+5	0.5
2036	30	MLB CTX	NYM	53%	200	179	40	7	1	5	16	52	3	0	0	221	294	355	649	134	278	26	8	292	88	-3	+0	-1	+4	+4	0.4
2037	31	MLB CTX	NYM	52%	182	163	35	6	1	4	14	48	3	0	0	217	289	345	634	128	275	26	8	286	84	-4	+0	-1	+3	+4	0.2
2038	32	MLB CTX	NYM	52%	162	147	31	5	1	4	12	43	2	0	0	212	283	333	616	121	271	27	7	278	78	-4	+0	-2	+3	+4	0.0
2039	33	MLB CTX	NYM	52%	136	123	25	4	0	3	10	37	2	0	0	205	275	318	593	113	266	27	7	269	72	-5	+0	-2	+2	+3	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2013	1808	402	70	9	53	158	517	30	13	6	222	296	359	655	137	280	26	8	295	91	-24	+0	-8	+36	+44	4.9
/ 162G	—	A+C		—	650	584	130	23	3	17	51	167	10	4	2	223	296	360	656	137	280	26	8	295	91	-8	+0	-2	+12	+14	1.6
Career	—	MLE		—	3979	3571	826	150	18	109	314	1023	61	24	12	231	304	375	679	144	291	26	8	302	91	-47	+0	-15	+69	+84	9.3
/ 162G	—	MLE		—	650	583	136	25	3	18	51	167	10	4	2	233	306	379	685	146	294	26	8	302	91	-8	+0	-2	+12	+14	1.6

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ASt. Lucie Mets · 95 PAwOBA .435 → .356 (−78)K% 16.8% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.84%	÷1.000	×1.360	—	—	22.91%
BB% (unintentional) /PA	13.68%	÷1.000	×0.690	—	×1.015	9.58%
HBP% /PA	4.21%	—	×0.780	—	×1.015	3.33%
Singles /BIP	23.33%	÷1.000	×0.920	×0.958	×1.015	20.87%
Doubles /BIP	8.33%	÷1.000	×0.830	×0.958	×1.015	6.72%
Triples /BIP	0.00%	÷1.000	×0.910	×0.958	×1.015	0.00%
Home runs /BIP	8.33%	÷1.000	×0.800	—	×1.015	6.77%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .435 → .356; ISO .263 → .217; BABIP .333 → .286. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

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
#3Jorge Alfarolast yr '23 career totals — 7 seasons, 1,693 PA	2.5	1,693	48	18	254	303	396	+30	+17	9.1	9.1
/162	664	19	7	+11.9	+6.6	3.6	pk7: 9
#4Bob Tillman'62-'70 * career totals — 9 seasons, 2,585 PA	3.9	2,585	79	1	235*	304*	401*	+46	+0	8.8	8.5
/162	664	20	0	+11.9	+0.0	2.3	pk7: 8
#5Scott 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.1	2,075	55	14	231	300	372	+37	+28	6.9	6.1
/162	664	18	4	+11.9	+9.0	2.2	pk7: 5
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4

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	2	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
✕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
✕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
✕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
✕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
✕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
✕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
✕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
✕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
●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
✕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
✕Hao-Yu Lee 2023 · A	20	49→51	44→50	48→55	46	237/306/359	122	312	12	12	27%	8%	89	+0.5	247/312/378	131	315	13	16	24%	7%	96	+1.0	253/317/409	156	313	15	15	23%	7%	103	+1.2
✕Juan Apodaca 2007 · A	21	45→55	43→45	46→40	45	226/280/333	107	282	12	5	24%	7%	73	-0.6	226/282/328	102	292	11	5	25%	6%	73	-0.6	269/334/371	102	330	9	3	20%	8%	100	+0.7

Ryan Tayman

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps