Thayron Liranzo — OGILVIE

Thayron LiranzoC Erie SeaWolves

Age 23 S/R 6'1" / 195 lbs AA HR -8% Svc 0.0 · Ctrl thru 2032 ILReassigned to Minors (RM)

2026 ROS PROJECTION393 act + 10 ros · stats below = ROS only

showingROS

wRC+†73

AVG/OBP/SLG—

PA1

HR0

K%30

BB%10

BABIP241

ISO142

MLB%10%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$16M ctrl surplus

Tools · ContractCON 36 / POW 56

Toolsscout grade

CONTACT36

scouting grade only

POWER56

scouting grade only

EYE52

scouting grade only

SPEED27

scouting grade only

DEFENSE46

scouting grade only

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

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2028	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2029	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2030	Arb-1	$3M	+0.9	$3M	+$0.6M
2031	Arb-2	$5M	+0.8	$2M	+$0.0M (cut)
2032	Arb-3	$6M	+0.7	$2M	+$0.0M (cut)
Totals		$6M		$12M	+$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. 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)
2021	18	ROK	DSL Dodgers Shoemaker	—	85	68	17	4	0	1	14	20	2	3	1	250	388	353	741	103	340	24	16	345	120	+2	+0	—	—	+2	0.4
2022	19	ROK	ACL Dodgers	—	171	148	35	11	1	8	21	42	2	0	0	236	339	486	826	250	276	25	12	363	132	+6	+0	—	—	+4	1.0
2023	20	A	Rancho Cucamonga Quakes	—	418	345	94	24	2	24	70	112	3	2	1	272	400	562	962	290	335	27	17	418	169	+34	+0	—	—	+9	4.4
2024	21	A+	West Michigan Whitecaps	—	429	353	86	22	0	12	75	102	1	1	0	244	378	408	786	164	310	24	17	357	128	+14	+0	—	—	+9	2.4
2024	21	INTL	Scottsdale Scorpions	—	59	48	18	6	1	2	11	9	0	0	0	375	492	667	1.158	292	432	15	19	497	222	+9	+0	—	—	+1	1.0
2025	22	AA	Erie SeaWolves	—	394	339	70	16	0	11	47	125	4	0	0	206	309	351	660	145	286	32	12	300	89	-5	+0	—	—	+9	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Dodgers Shoemaker	—	85	75	14	3	0	1	8	28	2	3	1	187	282	267	549	80	269	33	9	242	50	-5	+0	—	—	+2	-0.3
2022	19	ROK MLE	ACL Dodgers	—	171	156	26	8	1	6	13	61	2	0	0	167	240	346	586	179	225	36	8	256	59	-8	+0	—	—	+4	-0.5
2023	20	A MLE	Rancho Cucamonga Quakes	—	418	364	79	19	2	19	51	154	3	2	1	217	318	437	755	220	312	37	12	326	107	+3	+0	—	—	+9	1.3
2024	21	A+ MLE	West Michigan Whitecaps	—	429	377	72	19	0	10	51	144	1	1	0	191	289	321	610	130	279	34	12	277	74	-13	+0	—	—	+9	-0.4
2025	22	AA MLE	Erie SeaWolves	—	394	354	61	13	0	8	33	147	4	0	0	172	251	277	527	105	258	37	8	236	46	-25	+0	—	—	+9	-1.7
2021	18	ROK MLE	DSL Dodgers Shoemaker	—	85	75	14	3	0	1	8	28	2	3	1	187	282	267	549	80	283	33	9	242	50	—	—	—	—	—	—
2021	18	ROK RAW	DSL Dodgers Shoemaker	—	85	68	17	4	0	1	14	20	2	3	1	250	388	353	741	103	340	24	16	345	50	—	—	—	—	—	—
2022	19	ROK MLE	ACL Dodgers	—	171	156	26	8	1	6	13	61	2	0	0	167	240	346	586	179	225	36	8	256	59	—	—	—	—	—	—
2022	19	ROK RAW	ACL Dodgers	—	171	148	35	11	1	8	21	42	2	0	0	236	339	486	826	250	276	25	12	363	59	—	—	—	—	—	—
2023	20	A MLE	Rancho Cucamonga Quakes	—	418	364	79	19	2	19	51	154	3	2	1	217	318	437	755	220	314	37	12	326	107	—	—	—	—	—	—
2023	20	A RAW	Rancho Cucamonga Quakes	—	418	345	94	24	2	24	70	112	3	2	1	272	400	562	962	290	335	27	17	418	107	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	488	429	83	22	0	12	58	164	1	1	0	193	291	329	620	135	281	34	12	277	74	—	—	—	—	—	—
2024	21	A+ RAW	2 teams	—	488	401	104	28	1	14	86	111	1	1	0	259	391	439	830	180	326	23	18	374	74	—	—	—	—	—	—
2025	22	AA MLE	Erie SeaWolves	—	394	354	61	13	0	8	33	147	4	0	0	172	251	277	527	105	262	37	8	236	46	—	—	—	—	—	—
2025	22	AA RAW	Erie SeaWolves	—	394	339	70	16	0	11	47	125	4	0	0	206	309	351	660	145	286	32	12	300	46	—	—	—	—	—	—
2021	18	ROK MLE	DSL Dodgers Shoemaker	—	85	75	14	3	0	1	8	28	2	3	1	187	282	267	549	80	269	33	9	242	50	—	—	—	—	—	—
2022	19	ROK MLE	ACL Dodgers	—	171	154	26	8	1	6	13	61	2	0	0	169	240	351	590	182	225	36	8	256	59	—	—	—	—	—	—
2023	20	A MLE	Rancho Cucamonga Quakes	—	418	361	79	19	2	19	51	154	3	2	1	219	318	440	759	222	312	37	12	326	107	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	488	426	83	22	0	12	58	164	1	1	0	195	291	331	622	136	279	34	12	277	74	—	—	—	—	—	—
2025	22	AA MLE	Erie SeaWolves	—	394	354	61	13	0	8	33	147	4	0	0	172	251	277	527	105	258	37	8	236	46	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A MLE	Rancho Cucamonga Quakes	—	418	361	79	19	2	19	51	154	3	2	1	219	318	440	759	222	312	37	12	326	107	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	488	426	83	22	0	12	58	164	1	1	0	195	291	331	622	136	279	34	12	277	74	—	—	—	—	—	—
2025	22	AA MLE	Erie SeaWolves	—	394	354	61	13	0	8	33	147	4	0	0	172	251	277	527	105	258	37	8	236	46	—	—	—	—	—	—
YTD	23	AA MLE	DET	—	393	340	60	13	1	15	42	132	3	2	2	176	273	353	626	176	224	34	11	275	72	-13	-0	+0	+7	+9	0.2
▸ 2026 season
YTD	23	A RAW	DET	—	43	31	10	2	0	0	10	7	1	0	0	323	500	387	887	65	400	16	23	407	72	—	—	—	—	—	—
YTD	23	AA RAW	DET	—	350	291	58	13	1	19	50	100	2	2	2	199	321	447	767	247	218	29	14	334	72	—	—	—	—	—	—
ROS	23	AA MLE	DET	10%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		246	30	10	276	73	-0	+0	+0	+0	+0	0.0
▸ 2026 season — projected rest
ROS	23	MLB CTX	DET	10%	1	1	0	0	0	0	0	0	0	0	0						241	0	0	266	73	-0	+0	+0	+0	+0	0.0
FULL	23	MLB A+C	DET	—	1	1	0	0	0	0	0	0	0	0	0							0	0	266	72	-0	+0	+0	+0	+0	0.0
TOT	23	AA MLE	DET	—	403	349	61	13	1	15	43	135	3	2	2	175	271	347	618	172	222	33	11	275	72	-13	-0	+0	+7	+9	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	DET	42%	459	406	78	17	1	16	47	146	3	2	1	192	281	357	638	165	253	32	10	287	81	-11	+0	+0	+8	+10	0.8
2028	25	MLB MLE	DET	58%	488	431	86	18	1	18	50	151	4	2	1	200	289	371	660	172	257	31	10	294	85	-9	+0	+0	+9	+11	1.1
2029	26	MLB MLE	DET	65%	505	444	89	19	1	18	52	154	4	2	1	200	290	369	659	169	259	30	10	297	87	-8	+0	+0	+9	+11	1.3
2030	27	MLB MLE	DET	66%	510	448	91	19	1	19	53	155	4	2	1	203	293	377	670	174	259	30	10	298	88	-7	+0	+0	+9	+11	1.3
2031	28	MLB MLE	DET	67%	509	447	90	19	1	18	53	156	4	2	1	201	292	369	661	168	259	31	10	297	87	-8	+0	-0	+9	+11	1.2
2032	29	MLB MLE	DET	66%	501	440	89	19	1	18	52	154	4	2	1	202	292	373	665	170	258	31	10	295	86	-8	+0	-1	+9	+11	1.1
2033	30	MLB MLE	DET	65%	492	434	85	18	1	17	51	153	4	2	1	196	286	359	646	164	256	31	10	293	84	-9	+0	-2	+9	+11	0.8
2034	31	MLB MLE	DET	65%	465	410	80	17	1	16	49	146	3	1	1	195	286	359	644	163	254	31	11	289	81	-10	-0	-3	+8	+10	0.5
2035	32	MLB MLE	DET	65%	433	382	73	15	1	14	45	137	3	1	1	191	281	346	627	154	250	32	10	283	78	-11	-0	-3	+8	+9	0.2
2036	33	MLB MLE	DET	64%	393	346	65	13	1	13	41	127	3	1	0	188	279	344	623	156	245	32	10	276	73	-13	+0	-4	+7	+9	-0.1
2027	24	MLB CTX	DET	42%	195	172	32	7	0	6	20	62	1	1	1	186	275	331	606	145	248	32	10	277	81	-5	-0	+0	+3	+4	0.3
2028	25	MLB CTX	DET	58%	281	248	49	10	1	10	29	87	2	1	1	198	287	367	654	169	252	31	10	283	85	-5	-0	+0	+5	+6	0.6
2029	26	MLB CTX	DET	65%	326	287	57	12	1	11	33	100	3	1	1	199	288	362	650	164	254	31	10	286	87	-5	-0	+0	+6	+7	0.8
2030	27	MLB CTX	DET	66%	338	297	59	12	1	12	35	103	3	1	1	199	290	367	657	168	254	30	10	287	88	-5	-0	+0	+6	+7	0.9
2031	28	MLB CTX	DET	67%	341	300	59	12	1	12	35	104	3	1	1	197	287	363	650	167	254	30	10	286	87	-5	-0	-0	+6	+7	0.8
2032	29	MLB CTX	DET	66%	330	290	57	12	1	11	34	101	3	1	1	197	287	359	646	162	253	31	10	284	86	-5	-0	-1	+6	+7	0.7
2033	30	MLB CTX	DET	65%	321	282	55	11	1	11	34	100	2	1	1	195	286	358	644	163	251	31	11	282	84	-6	-0	-1	+6	+7	0.5
2034	31	MLB CTX	DET	65%	301	265	51	10	1	10	31	94	2	1	1	192	282	351	633	158	249	31	10	278	81	-7	-0	-2	+5	+7	0.3
2035	32	MLB CTX	DET	65%	280	247	45	9	0	9	29	89	2	1	0	182	273	328	601	146	245	32	10	272	78	-7	+0	-2	+5	+6	0.2
2036	33	MLB CTX	DET	64%	253	223	40	8	0	8	26	82	2	0	0	179	271	323	594	143	240	32	10	266	73	-8	+0	-3	+5	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2967	2612	504	103	7	100	306	922	23	9	8	193	283	353	636	160	252	31	10	281	81	-58	-1	-8	+53	+64	5.1
/ 162G	—	A+C		—	650	572	111	23	2	22	67	202	5	2	2	194	284	357	641	163	253	31	10	281	81	-13	-0	-2	+12	+14	1.1
Career	—	MLE		—	6321	5575	1090	239	13	213	657	2036	48	23	11	196	286	358	643	162	262	32	10	288	81	-94	-0	-13	+85	+103	8.3
/ 162G	—	MLE		—	650	573	112	25	1	22	68	209	5	2	1	195	286	358	644	162	261	32	10	288	81	-13	-0	-2	+12	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Miguel Olivolast yr '13 career totals — 11 seasons, 3,947 PA	5.9	3,947	144	53	241	275	417	+70	+53	19.1	18.9
/162	664	24	9	+11.9	+8.8	3.2	pk7: 19
#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
#4Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#5Danny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.5	2,998	105	10	198	285	365	+54	-8	7.4	6.8
/162	664	23	2	+11.9	-1.9	1.6	pk7: 6
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	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
Thayron Liranzo (OGILVIE)	23	20→36	45→56	30→27	52	182/271/336	154	246	10	1	33%	10%	73	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brett Cumberland 2019 · AA	24	39→40	46→45	38→30	41	191/286/319	129	293	14	2	37%	8%	75	-0.5	197/300/318	121	289	12	3	34%	8%	80	-0.1	174/292/275	101	262	11	1	34%	8%	65	-0.5
✕Zack Collins 2018 · AA	23	36→42	48→50	41→40	47	183/275/321	138	287	16	2	39%	11%	70	-0.8	198/295/339	141	302	15	3	36%	12%	82	-0.0	193/300/335	143	284	15	2	34%	13%	81	-0.0
✕Drew Ellis 2019 · A	23	40→37	47→55	37→40	45	205/268/342	138	254	15	4	26%	7%	72	-0.7	205/283/350	145	268	16	3	28%	9%	80	-0.2	183/280/352	170	235	19	4	30%	10%	78	-0.2
✕Julian Leon 2019 · AAA	23	40	48→45	38→30	43	199/284/334	136	299	16	3	37%	9%	77	-0.3	187/277/296	109	308	11	5	39%	9%	65	-1.2	126/230/204	78	225	8	0	44%	10%	27	-1.7
✕Ian Rice 2018 · AA	24	39→40	50	41→30	50	207/291/358	151	264	19	3	29%	10%	84	+0.2	201/284/314	113	282	12	3	31%	9%	72	-0.7	184/273/274	91	266	9	1	32%	9%	57	-0.9
✕Daniel Vellojin 2023 · AA	23	39	45	42→45	51	196/292/318	122	278	13	6	32%	12%	76	-0.4	179/261/272	93	255	9	6	31%	9%	53	-2.1	154/237/226	72	219	7	4	31%	9%	32	-1.3
✕Tom Murphy 2014 · AA	23	41→38	50→65	42→45	39	211/275/365	155	299	17	5	34%	6%	80	-0.2	209/263/374	165	291	20	5	34%	6%	78	-0.3	247/319/462	215	314	30	2	30%	9%	117	+1.1
✕Jose Lobatón 2008 · A	23	43	45	43→30	46	215/286/340	125	294	13	3	30%	8%	78	-0.3	219/278/335	116	291	12	3	27%	7%	73	-0.6	233/317/359	126	296	11	0	23%	11%	91	+0.3
✕Marcus Greene Jr. 2018 · A	23	39	47→50	42→40	42	204/265/335	132	265	15	4	29%	7%	69	-0.9	214/269/319	105	302	10	5	31%	6%	66	-1.1	199/250/262	63	298	6	0	34%	6%	42	-0.9
✕Eric Haase 2017 · AA	24	35→42	49→60	41→40	35	187/241/337	151	281	16	3	39%	6%	61	-1.5	195/250/367	172	282	22	4	38%	6%	71	-0.8	217/276/424	207	286	30	2	35%	7%	91	+0.5
✕Tyler Ogle 2016 · A	25	42→43	50	36→30	50	218/297/371	152	264	19	2	25%	9%	89	+0.5	214/280/350	136	275	15	5	27%	7%	78	-0.3	179/248/294	115	224	12	0	25%	6%	52	-0.6
✕Marcos Castañon 2023 · A	24	39→49	53→50	38→40	47	207/302/378	171	280	22	2	33%	10%	93	+0.8	222/284/365	143	292	17	3	29%	7%	83	+0.1	224/279/359	135	291	15	2	27%	6%	77	-0.3
✕Niko Vasquez 2012 · AA	23	39→41	44→50	40→45	45	196/268/310	114	267	11	3	30%	8%	64	-1.3	202/266/306	104	266	8	5	26%	7%	62	-1.4	221/278/353	132	287	16	6	28%	6%	76	-0.2
✕Ryan Costello 2019 · A	23	41→39	50	42→30	47	214/284/368	154	274	17	4	28%	9%	84	+0.1	201/278/335	134	291	14	4	33%	9%	74	-0.6	169/258/297	128	251	15	0	37%	11%	56	-1.3
✕Jakson Reetz 2019 · A	23	41→33	40→55	39→45	43	198/274/287	88	281	8	5	30%	7%	61	-1.5	198/277/315	117	286	12	5	33%	7%	70	-0.9	193/274/380	187	243	23	4	31%	7%	81	-0.0
✕Bobby Borchering 2013 · AA	22	39→42	50	40→30	36	203/253/350	147	290	18	3	36%	6%	68	-1.0	186/242/299	113	295	12	4	39%	6%	52	-2.2	154/210/238	84	248	8	1	40%	6%	24	-1.8
✕Tristan Gray 2021 · AA	25	38→35	48→50	37→40	45	201/269/345	144	250	16	5	26%	8%	73	-0.6	193/247/339	146	271	18	5	35%	6%	63	-1.4	198/254/329	130	265	15	3	30%	6%	62	-0.9
✕Jon Talley 2012 · A	23	38→41	47→45	39→30	38	196/254/333	137	289	15	2	37%	6%	64	-1.3	198/255/318	120	293	12	3	35%	6%	61	-1.5	185/244/293	108	274	10	1	34%	6%	50	-1.2
✕Ronaldo Hernández 2023 · AAA	25	43→44	50	35→45	37	225/257/374	150	269	18	2	24%	3%	75	-0.5	215/267/349	134	255	17	4	23%	5%	73	-0.6	201/260/321	120	235	16	2	22%	6%	62	-0.7
✕Josh Bell 2011 · MLB	24	47→52	47→50	37→45	41	234/277/373	139	301	14	4	27%	6%	81	-0.1	216/264/335	119	292	13	4	29%	6%	68	-1.0	213/272/333	120	269	14	3	26%	7%	70	-0.4

Career Stats + Projections

Career Comps

Career Path Comps