Bryce Martin-Grudzielanek

Bryce Martin-GrudzielanekSS Tampa Tarpons

Age 23 R/R 6'1" / 185 lbs A HR +14% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION517 act + 10 ros · stats below = ROS only

showingROS

wRC+†75

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP291

ISO116

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$18M ctrl surplus

Tools · ContractCON 36 / POW 43

Toolsscout grade

CONTACT36

scouting grade only

POWER43

scouting grade only

EYE54

scouting grade only

SPEED66

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	+0.5	$1M	+$0.8M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-2	$0.7M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$1M

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	22	A	Tampa Tarpons	—	85	77	19	2	4	1	6	16	0	6	1	247	301	416	717	169	290	19	7	308	94	-1	+1	—	—	+2	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A MLE	Tampa Tarpons	—	85	78	16	2	3	1	5	23	0	6	1	205	253	346	599	141	251	27	6	255	59	-4	+1	—	—	+2	-0.2
2025	22	A MLE	Tampa Tarpons	—	85	78	16	2	3	1	5	23	0	6	1	205	253	346	599	141	268	27	6	255	59	—	—	—	—	—	—
2025	22	A RAW	Tampa Tarpons	—	85	77	19	2	4	1	6	16	0	6	1	247	301	416	717	169	290	19	7	308	59	—	—	—	—	—	—
2025	22	A MLE	Tampa Tarpons	—	85	80	16	2	3	1	5	23	0	6	1	200	253	338	591	138	251	27	6	255	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	22	A MLE	Tampa Tarpons	—	85	80	16	2	3	1	5	23	0	6	1	200	253	338	591	138	251	27	6	255	59	—	—	—	—	—	—
YTD	23	A MLE	NYY	—	517	450	93	19	2	8	44	168	13	44	10	207	296	311	607	104	299	32	9	274	72	-18	+5	+0	+6	+11	0.4
▸ 2026 season
YTD	23	A RAW	NYY	—	404	334	92	19	2	9	52	94	11	34	8	275	390	425	816	150	349	23	13	363	72	—	—	—	—	—	—
YTD	23	A+ RAW	NYY	—	113	100	19	3	1	1	8	26	2	10	2	190	264	270	534	80	237	23	7	241	72	—	—	—	—	—	—
ROS	23	A MLE	NYY	0%	10	9	1	0	0	0	1	3	0	1	0	111	200	111	311		289	30	10	279	75	-0	+0	+0	+0	+0	0.0
TOT	23	A MLE	NYY	—	527	459	94	19	2	8	45	171	13	45	10	205	294	307	601	102	297	32	9	274	72	-18	+5	+0	+6	+11	0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	NYY	38%	331	294	64	13	2	6	28	94	6	13	3	218	299	337	636	119	291	28	8	287	80	-8	+1	+0	+4	+7	0.4
2028	25	MLB MLE	NYY	55%	384	341	75	15	2	8	33	107	7	15	3	220	302	346	648	126	291	28	9	291	83	-8	+2	+0	+4	+8	0.7
2029	26	MLB MLE	NYY	64%	417	371	81	16	2	9	36	115	7	16	4	218	300	345	645	127	291	28	9	294	85	-7	+2	+0	+4	+9	0.8
2030	27	MLB MLE	NYY	66%	425	378	82	16	2	9	37	117	7	17	4	217	299	341	640	124	291	28	9	295	86	-7	+2	+0	+5	+9	0.8
2031	28	MLB MLE	NYY	67%	429	381	83	16	2	9	38	118	7	16	4	218	300	341	642	123	290	28	9	294	85	-8	+2	-1	+5	+9	0.7
2032	29	MLB MLE	NYY	66%	422	375	82	16	2	9	37	117	7	15	3	219	301	344	645	125	290	28	9	292	84	-8	+2	-1	+5	+9	0.6
2033	30	MLB MLE	NYY	65%	415	368	79	16	2	8	37	116	7	13	3	215	299	334	633	120	289	28	9	289	82	-9	+1	-2	+4	+9	0.4
2034	31	MLB MLE	NYY	65%	402	356	76	15	2	8	36	114	7	11	2	213	298	334	633	121	287	28	9	286	79	-10	+1	-3	+4	+9	0.2
2035	32	MLB MLE	NYY	65%	384	341	72	14	2	7	34	110	6	9	2	211	294	326	619	114	284	29	9	280	76	-11	+1	-4	+4	+8	-0.1
2027	24	MLB CTX	NYY	38%	125	111	25	5	1	3	11	35	2	5	1	225	306	369	676	144	292	28	9	277	80	-3	+1	+0	+1	+3	0.2
2028	25	MLB CTX	NYY	55%	213	189	42	8	1	5	18	59	4	8	2	222	303	354	658	132	293	28	8	282	83	-4	+1	+0	+2	+5	0.4
2029	26	MLB CTX	NYY	64%	265	235	52	10	1	6	23	73	5	10	2	221	304	349	653	128	293	28	9	285	85	-5	+1	+0	+3	+6	0.5
2030	27	MLB CTX	NYY	66%	279	248	54	11	1	6	24	77	5	11	3	218	300	343	642	125	293	28	9	286	86	-5	+1	+0	+3	+6	0.5
2031	28	MLB CTX	NYY	67%	286	254	56	11	1	7	25	79	5	11	2	220	303	354	657	134	292	28	9	285	85	-5	+1	-0	+3	+6	0.5
2032	29	MLB CTX	NYY	66%	277	246	54	11	1	6	24	77	5	10	2	220	302	346	647	126	292	28	9	283	84	-5	+1	-1	+3	+6	0.4
2033	30	MLB CTX	NYY	65%	270	239	52	10	1	6	24	76	5	8	2	218	302	343	645	126	291	28	9	281	82	-6	+1	-1	+3	+6	0.2
2034	31	MLB CTX	NYY	65%	260	231	49	10	1	5	23	74	4	7	2	212	295	329	624	117	288	28	9	277	79	-6	+1	-2	+3	+6	0.1
2035	32	MLB CTX	NYY	65%	248	220	46	9	1	5	22	71	4	6	1	209	293	327	620	118	285	29	9	271	76	-7	+1	-2	+3	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2223	1973	430	85	9	49	194	621	39	76	17	218	301	345	645	127	290	28	9	281	82	-46	+8	-7	+24	+48	2.8
/ 162G	—	A+C		—	650	577	126	25	3	14	57	182	11	22	5	218	301	345	646	127	292	28	9	281	82	-14	+2	-2	+7	+14	0.8
Career	—	MLE		—	3704	3292	711	139	21	74	322	1034	61	132	29	216	298	338	636	122	289	28	9	289	82	-76	+14	-10	+39	+78	4.6
/ 162G	—	MLE		—	650	578	125	24	4	13	57	181	11	23	5	216	300	339	639	123	289	28	9	289	82	-14	+3	-2	+7	+14	0.8

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
#4Gordon 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
#5Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.6	2,396	49	80	218	297	342	+26	+18	4.9	4.5
/162	664	13	22	+7.1	+5.0	1.4	pk7: 4
#6Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	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
Bryce Martin-Grudzielanek (OGILVIE)	23	31→36	38→43	61→66	54	208/290/316	108	289	3	10	29%	8%	75	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Trey Sweeney 2023 · AA	23	39→43	47→50	58→55	46	200/276/339	139	268	15	19	30%	9%	74	-0.5	213/284/345	132	280	14	17	28%	8%	78	-0.3	213/282/342	129	276	14	17	27%	8%	75	-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
✕Michael Guldberg 2022 · A	23	45	44→45	55	44	221/288/339	118	278	11	16	24%	6%	78	-0.3	214/270/297	83	283	6	12	25%	6%	61	-1.5	205/257/264	59	274	3	10	25%	6%	46	-0.7
✕Mario Lisson 2007 · A	23	45→49	44→50	55	47	219/296/340	121	292	11	22	27%	8%	82	-0.0	215/266/325	110	280	11	19	26%	5%	66	-1.1	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕Sean Jamieson 2013 · A	24	41→45	43→45	53→50	48	203/279/317	114	256	10	15	24%	8%	70	-0.8	227/288/340	113	300	9	10	26%	6%	78	-0.3	236/295/344	109	315	9	9	26%	6%	78	-0.2
✕Cody Cipriano 2009 · A	24	40→48	45	55→45	46	199/274/329	130	265	11	12	28%	8%	71	-0.8	222/292/331	109	312	8	8	29%	8%	78	-0.3	229/303/334	105	320	7	7	28%	8%	81	-0.1
✕Clay Fuller 2010 · A	23	43→45	42→45	56→55	45	206/285/313	107	296	9	20	31%	9%	72	-0.7	213/272/326	113	292	12	16	30%	6%	69	-0.9	210/263/325	115	279	14	16	29%	5%	63	-0.8
✕Corey Toups 2016 · A	23	49→50	41→45	56→50	46	235/295/344	109	306	7	17	25%	7%	81	-0.1	216/276/329	113	308	9	16	31%	6%	71	-0.8	204/268/315	111	299	9	16	33%	6%	62	-1.0
✕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
✕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
✕Lolo Sanchez 2022 · A	23	43	45	53→55	48	217/291/339	122	258	13	23	21%	7%	80	-0.2	204/278/293	89	247	9	13	20%	8%	64	-1.3	187/264/251	64	226	6	9	19%	8%	46	-1.1
✕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
✕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
✕Kristopher Negrón 2009 · A	23	45→50	40→45	57→55	43	218/277/315	97	276	7	19	23%	6%	68	-1.0	223/282/319	96	288	8	20	24%	6%	71	-0.8	226/289/352	126	323	14	14	32%	7%	78	-0.2
✕Chase d'Arnaud 2010 · A	23	49→50	42→45	55→60	48	235/310/354	119	288	8	19	20%	7%	90	+0.6	222/281/326	104	280	6	27	22%	6%	72	-0.7	230/293/350	120	293	11	26	24%	7%	80	-0.1
✕Austin Wells 2022 · A	23	43	48→55	56→50	47	211/301/358	147	306	15	12	34%	10%	88	+0.4	216/294/377	161	276	19	10	28%	9%	90	+0.6	211/292/376	165	256	20	8	25%	9%	87	+0.3
✕Sicnarf Loopstok 2016 · A	23	40→37	49→50	53→50	39	207/268/353	146	287	16	9	33%	6%	74	-0.5	208/273/341	133	295	14	10	33%	6%	74	-0.6	202/274/346	144	284	16	9	33%	6%	75	-0.3
✕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
✕Hoy Park 2019 · A	23	46→49	39→45	55	51	217/298/301	85	285	6	17	25%	9%	74	-0.6	228/306/324	96	300	7	16	24%	9%	81	-0.1	215/302/326	111	288	12	18	27%	10%	79	-0.2

Career Stats + Projections

Career Comps

Career Path Comps